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Journal of Medicine and Pharmacy","Tạp chí Y Dược học Cần Thơ",{"EN":487,"VI":488},"\u003Cp>\u003Cspan style=\"color: rgb(0, 0, 0);\">04\u002F10\u002F2015 Ministry of Information and Communications allowed Can Tho journal of medicine and pharmacy to operate (102 \u002FGP-BTTTT)\u003C\u002Fspan>\u003C\u002Fp>\u003Cp>\u003Cbr>\u003C\u002Fp>\u003Cp>\u003Cspan style=\"color: rgb(0, 0, 0);\">07\u002F16\u002F2015 Can Tho journal of medicine and pharmacy is internationally recognized: ISSN 2354-1210\u003C\u002Fspan>\u003C\u002Fp>\u003Cp>\u003Cbr>\u003C\u002Fp>\u003Cp>\u003Cspan style=\"color: rgb(0, 0, 0);\">In 2016, The journal has been included in the list of medical science journals by The State Council for professorship which is awarded a work score of 0-0.5 points for a published article.\u003C\u002Fspan>\u003C\u002Fp>\u003Cp>\u003Cbr>\u003C\u002Fp>\u003Cp>\u003Cspan style=\"color: rgb(0, 0, 0);\">Can Tho Journal of Medicine and Pharmacy welcome original works that haven’t been submitted or published in other medical journals. Posts must contain content related to one of the journal’s categories.\u003C\u002Fspan>\u003C\u002Fp>\u003Cp>\u003Cbr>\u003C\u002Fp>\u003Cp>\u003Cspan style=\"color: rgb(0, 0, 0);\">The content published\u003C\u002Fspan>\u003C\u002Fp>\u003Cp>\u003Cbr>\u003C\u002Fp>\u003Cp>\u003Cspan style=\"color: rgb(0, 0, 0);\">The journal is divided into 3 categories:\u003C\u002Fspan>\u003C\u002Fp>\u003Cp>\u003Cbr>\u003C\u002Fp>\u003Cp>\u003Cspan style=\"color: rgb(0, 0, 0);\">- Scientific research article: are valuable scientific works, which have been researched and accepted.\u003C\u002Fspan>\u003C\u002Fp>\u003Cp>\u003Cspan style=\"color: rgb(0, 0, 0);\">- Overview of medicine, biology and pharmacy: serving the objective of continuing training in the fields of medicine, biology and pharmacy; to systematize classical and modern knowledge.\u003C\u002Fspan>\u003C\u002Fp>\u003Cp>\u003Cspan style=\"color: rgb(0, 0, 0);\">- Update information on new knowledge about medicine, biology, pharmacy in the country and in the world.\u003C\u002Fspan>\u003C\u002Fp>\u003Cp>\u003Cbr>\u003C\u002Fp>\u003Cp>\u003Cspan style=\"color: rgb(0, 0, 0);\">Scope\u003C\u002Fspan>\u003C\u002Fp>\u003Cp>\u003Cbr>\u003C\u002Fp>\u003Cp>\u003Cspan style=\"color: rgb(0, 0, 0);\">- Publication and introduction of scientific research in the fields:\u003C\u002Fspan>\u003C\u002Fp>\u003Cp>\u003Cspan style=\"color: rgb(0, 0, 0);\">+ Medicine (internal medicine, surgery, pediatrics, obstetrics and gynecology, odonto-stomatology, laboratory, oncology, traditional medicine, nursing).\u003C\u002Fspan>\u003C\u002Fp>\u003Cp>\u003Cspan style=\"color: rgb(0, 0, 0);\">+ Biology (genetics, biotechnology).\u003C\u002Fspan>\u003C\u002Fp>\u003Cp>\u003Cspan style=\"color: rgb(0, 0, 0);\">+ Pharmacology (pharmaceutics, drug quality analysis-control, synthetic pharmaceutical chemistry, biochemistry, pharmacognosy, botany, clinical pharmacy).\u003C\u002Fspan>\u003C\u002Fp>\u003Cp>\u003Cspan style=\"color: rgb(0, 0, 0);\">- To enhance the quality of undergraduate, postgraduate education, scientifically researching and meet the necessary treatment in hospital.\u003C\u002Fspan>\u003C\u002Fp>\u003Cp>\u003Cspan style=\"color: rgb(0, 0, 0);\">- Introducing the updated domestic and oversea information about science technology to promote scientific research and exchanging technology in local, other universities.\u003C\u002Fspan>\u003C\u002Fp>\u003Cp>\u003Cspan style=\"color: rgb(0, 0, 0);\">- Exchanging pharmaceutical and medical information for social health developing in the Mekong Delta and Vietnam.\u003C\u002Fspan>\u003C\u002Fp>\u003Cp>\u003Cbr>\u003C\u002Fp>\u003Cp>\u003Cspan style=\"color: rgb(0, 0, 0);\">The object\u003C\u002Fspan>\u003C\u002Fp>\u003Cp>\u003Cbr>\u003C\u002Fp>\u003Cp>\u003Cspan style=\"color: rgb(0, 0, 0);\">Postgraduate students, student of Can Tho University of Medicine and Pharmacy, scientists from schools, research institutes, hospitals, health centers, pharmaceutical companies of the Mekong Delta; other provinces and regions in Vietnam and other country.\u003C\u002Fspan>\u003C\u002Fp>\u003Cp>\u003Cbr>\u003C\u002Fp>\u003Cp>\u003Cspan style=\"color: rgb(0, 0, 0);\">Address\u003C\u002Fspan>\u003C\u002Fp>\u003Cp>\u003Cbr>\u003C\u002Fp>\u003Cp>\u003Cspan style=\"color: rgb(0, 0, 0);\">Headquarters of Can Tho Journal of Medicine and Pharmacy, located Scientific Research and International Cooperation Office: 179 Nguyen Van Cu Street, An Khanh Ward, Ninh Kieu District, Can Tho City, Vietnam.\u003C\u002Fspan>\u003C\u002Fp>","\u003Cp>\u003Cspan style=\"color: rgb(0, 0, 0);\">Ngày 16\u002F7\u002F2015, Tạp chí Y Dược học Cần Thơ được cấp chỉ số quốc tế: ISSN 2354-1210.\u003C\u002Fspan>\u003C\u002Fp>\u003Cp>\u003Cbr>\u003C\u002Fp>\u003Cp>\u003Cspan style=\"color: rgb(0, 0, 0);\">Từ tháng 4\u002F2016, Tạp chí đã được Hội đồng Giáo sư ngành Y đưa vào danh sách các tạp chí khoa học Y học được tính điểm công trình 0-0,5 điểm cho một bài báo đăng.\u003C\u002Fspan>\u003C\u002Fp>\u003Cp>\u003Cbr>\u003C\u002Fp>\u003Cp>\u003Cspan style=\"color: rgb(0, 0, 0);\">Năm 2020 Tạp chí Y Dược học Cần Thơ đã được phê duyệt vào danh mục của các Hội đồng Giáo sư ngành Dược học được tính điểm công trình 0-0,5 điểm cho một bài báo đăng.\u003C\u002Fspan>\u003C\u002Fp>\u003Cp>\u003Cbr>\u003C\u002Fp>\u003Cp>\u003Cspan style=\"color: rgb(0, 0, 0);\">Tạp chí Y Dược học Cần Thơ ra 12 số\u002Fnăm, 180-200 trang\u002Fsố.\u003C\u002Fspan>\u003C\u002Fp>\u003Cp>\u003Cbr>\u003C\u002Fp>\u003Cp>\u003Cspan style=\"color: rgb(0, 0, 0);\">Từ tháng 12\u002F2022 Tạp chí Y Dược học Cần Thơ là thành viên của hệ thống Crossref và từ tháng 01\u002F2023 tạp chí thực hiện bình duyệt online kín 2 chiều nhằm tăng tính minh bạch, tin cậy của các công trình nghiên cứu khoa học và đảm bảo tốt nhất chất lượng khoa học của bài viết.\u003C\u002Fspan>\u003C\u002Fp>\u003Cp>\u003Cbr>\u003C\u002Fp>\u003Cp>\u003Cbr>\u003C\u002Fp>\u003Cp>\u003Cbr>\u003C\u002Fp>\u003Cp>\u003Cspan style=\"color: rgb(0, 0, 0);\">Tôn chỉ, mục đích và phạm vi của tạp chí\u003C\u002Fspan>\u003C\u002Fp>\u003Cp>\u003Cbr>\u003C\u002Fp>\u003Cp>\u003Cbr>\u003C\u002Fp>\u003Cp>\u003Cspan style=\"color: rgb(0, 0, 0);\">Tôn chỉ và mục đích hoạt động của tạp chí: xuất bản nhằm mục đích phổ biến kết quả từ các đề tài nghiên cứu khoa học; giao lưu trao đổi khoa học, chia sẻ kinh nghiệm, học tập, đồng thời cập nhật thông tin khoa học mới trong các lĩnh vực y, sinh, dược học trong và ngoài nước.\u003C\u002Fspan>\u003C\u002Fp>\u003Cp>\u003Cbr>\u003C\u002Fp>\u003Cp>\u003Cspan style=\"color: rgb(0, 0, 0);\">Phạm vi của tạp chí: Tạp chí xuất bản được chia thành 3 chuyên mục: (i) Bài báo nghiên cứu khoa học là kết quả công trình nghiên cứu khoa học có giá trị đã được triển khai nghiên cứu, (ii) Bài tổng quan y, sinh, dược học: phục vụ mục tiêu đào tạo liên tục trong lĩnh vực y, sinh, dược học; nhằm hệ thống hóa những kiến thức kinh điển và hiện đại; (iii) Thông tin cập nhật kiến thức mới về y, sinh, dược học trong nước và trên thế giới.\u003C\u002Fspan>\u003C\u002Fp>\u003Cp>\u003Cbr>\u003C\u002Fp>\u003Cp>\u003Cbr>\u003C\u002Fp>\u003Cp>\u003Cbr>\u003C\u002Fp>\u003Cp>\u003Cspan style=\"color: rgb(0, 0, 0);\">Chính sách truy cập mở\u003C\u002Fspan>\u003C\u002Fp>\u003Cp>\u003Cbr>\u003C\u002Fp>\u003Cp>\u003Cbr>\u003C\u002Fp>\u003Cp>\u003Cspan style=\"color: rgb(0, 0, 0);\">Tạp chí Y Dược học Cần Thơ áp dụng chính sách truy cập mở đối với các bài báo đã xuất bản đến với độc giả, nhằm mở rộng cơ hội tiếp cận các kết quả nghiên cứu chất lượng cao và tăng cường trao đổi kiến thức. Tạp chí đăng tải trực tuyến (miễn phí) toàn văn các bài báo được công bố trên website của Tạp chí (https:\u002F\u002Ftapchi.ctump.edu.vn).\u003C\u002Fspan>\u003C\u002Fp>\u003Cp>\u003Cbr>\u003C\u002Fp>\u003Cp>\u003Cbr>\u003C\u002Fp>\u003Cp>\u003Cbr>\u003C\u002Fp>\u003Cp>\u003Cspan style=\"color: rgb(0, 0, 0);\">Đạo đức xuất bản\u003C\u002Fspan>\u003C\u002Fp>\u003Cp>\u003Cbr>\u003C\u002Fp>\u003Cp>\u003Cbr>\u003C\u002Fp>\u003Cp>\u003Cspan style=\"color: rgb(0, 0, 0);\">Tạp chí Y Dược học Cần Thơ cam kết tuân thủ đạo đức xuất bản phù hợp với các hướng dẫn và tiêu chuẩn của the Committee on Publication Ethics (COPE), tuân thủ các nguyên tắc của COPE’s Core Practices, Best Practices Guidelines for Journal Editors và Guidelines on Good Publication Practices.\u003C\u002Fspan>\u003C\u002Fp>\u003Cp>\u003Cbr>\u003C\u002Fp>\u003Cp>\u003Cbr>\u003C\u002Fp>\u003Cp>\u003Cbr>\u003C\u002Fp>\u003Cp>\u003Cspan style=\"color: rgb(0, 0, 0);\">Bản thảo bài báo chỉ được chấp nhận khi được tác giả chịu trách nhiệm chính cam kết các nội dung sau: Các nội dung của bản thảo chưa được đăng tải toàn bộ hoặc một phần ở các tạp chí khác; Tất cả các tác giả đều có đóng góp một cách đáng kể vào quá trình nghiên cứu hoặc chuẩn bị bản thảo và cùng chịu trách nhiệm về các nội dung của bản thảo; Tuân thủ các biện pháp đảm bảo đạo đức nghiên cứu (ví dụ thỏa thuận đồng ý tham gia nghiên cứu).\u003C\u002Fspan>\u003C\u002Fp>\u003Cp>\u003Cbr>\u003C\u002Fp>\u003Cp>\u003Cbr>\u003C\u002Fp>\u003Cp>\u003Cbr>\u003C\u002Fp>\u003Cp>\u003Cspan style=\"color: rgb(0, 0, 0);\">Cam kết bảo mật\u003C\u002Fspan>\u003C\u002Fp>\u003Cp>\u003Cbr>\u003C\u002Fp>\u003Cp>\u003Cbr>\u003C\u002Fp>\u003Cp>\u003Cspan style=\"color: rgb(0, 0, 0);\">Tạp chí cam kết thực hiện và tuân thủ các quy định của luật và các văn bản hướng dẫn liên quan đến bảo mật thông tin cá nhân trên không gian mạng. Các thông tin mà người dùng (tác giả, độc giả, biên tập viên, người phản biện) nhập vào các biểu mẫu trên Hệ thống Quản lý xuất bản trực tuyến của tạp chí chỉ được sử dụng vào các mục đích đã được tuyên bố rõ ràng và sẽ không được cung cấp cho bất kỳ bên thứ ba nào khác, hay dùng vào bất kỳ mục đích nào khác.\u003C\u002Fspan>\u003C\u002Fp>\u003Cp>\u003Cbr>\u003C\u002Fp>\u003Cp>\u003Cbr>\u003C\u002Fp>\u003Cp>\u003Cbr>\u003C\u002Fp>\u003Cp>\u003Cspan style=\"color: rgb(0, 0, 0);\">Phí gửi bài\u003C\u002Fspan>\u003C\u002Fp>\u003Cp>\u003Cbr>\u003C\u002Fp>\u003Cp>\u003Cbr>\u003C\u002Fp>\u003Cp>\u003Cspan style=\"color: rgb(0, 0, 0);\">Lệ phí gửi đăng bài: 1.000.000đ\u002Fbài báo\u003C\u002Fspan>\u003C\u002Fp>\u003Cp>\u003Cbr>\u003C\u002Fp>\u003Cp>\u003Cspan style=\"color: rgb(0, 0, 0);\">Lệ phí gửi đăng nhanh: 1.500.000đ\u002Fbài báo\u003C\u002Fspan>\u003C\u002Fp>\u003Cp>\u003Cbr>\u003C\u002Fp>\u003Cp>\u003Cspan style=\"color: rgb(0, 0, 0);\">Đối với tác giả là cán bộ viên chức thuộc Trường Đại học Y Dược Cần Thơ thì được hỗ trợ 50% lệ phí gửi đăng bài.\u003C\u002Fspan>\u003C\u002Fp>\u003Cp>\u003Cbr>\u003C\u002Fp>\u003Cp>\u003Cspan style=\"color: rgb(0, 0, 0);\">Đối với sinh viên thực hiện đề tài nghiên cứu khoa học cấp trường được hỗ trợ 100% lệ phí đăng bài ( Tác giả gửi đính kèm “ Quyết định về việc giao tổ chức thực hiện đề tài nghiên cứu khoa học cấp Trường của sinh viên”).\u003C\u002Fspan>\u003C\u002Fp>\u003Cp>\u003Cbr>\u003C\u002Fp>\u003Cp>\u003Cspan style=\"color: rgb(0, 0, 0);\">Hình thức nộp lệ phí:\u003C\u002Fspan>\u003C\u002Fp>\u003Cp>\u003Cbr>\u003C\u002Fp>\u003Cp>\u003Cspan style=\"color: rgb(0, 0, 0);\">1. Tiền mặt:\u003C\u002Fspan>\u003C\u002Fp>\u003Cp>\u003Cbr>\u003C\u002Fp>\u003Cp>\u003Cspan style=\"color: rgb(0, 0, 0);\">Nộp trực tiếp tại Phòng Tài chính - Kế toán, Trường Đại học Y Dược Cần Thơ, số 179 Nguyễn Văn Cừ, P. An Khánh, Q. Ninh Kiều, thành phố Cần Thơ.\u003C\u002Fspan>\u003C\u002Fp>\u003Cp>\u003Cbr>\u003C\u002Fp>\u003Cp>\u003Cspan style=\"color: rgb(0, 0, 0);\">2. Chuyển khoản:\u003C\u002Fspan>\u003C\u002Fp>\u003Cp>\u003Cbr>\u003C\u002Fp>\u003Cp>\u003Cspan style=\"color: rgb(0, 0, 0);\">Tên Tài khoản: Trường ĐHYD Cần Thơ, Số TK: 0111000115668, tại ngân hàng Vietcombank chi nhánh Cần Thơ.\u003C\u002Fspan>\u003C\u002Fp>\u003Cp>\u003Cbr>\u003C\u002Fp>\u003Cp>\u003Cspan style=\"color: rgb(0, 0, 0);\">Thời gian: Áp dụng từ ngày 01\u002F02\u002F2023.\u003C\u002Fspan>\u003C\u002Fp>\u003Cp>\u003Cbr>\u003C\u002Fp>\u003Cp>\u003Cspan style=\"color: rgb(0, 0, 0);\">* Phí gửi bài không được hoàn trả khi bài viết bị từ chối hoặc tác giả xin rút bài viết.\u003C\u002Fspan>\u003C\u002Fp>\u003Cp>\u003Cbr>\u003C\u002Fp>\u003Cp>\u003Cbr>\u003C\u002Fp>\u003Cp>\u003Cbr>\u003C\u002Fp>\u003Cp>\u003Cspan style=\"color: rgb(0, 0, 0);\">Quy trình phản biện bài báo\u003C\u002Fspan>\u003C\u002Fp>\u003Cp>\u003Cbr>\u003C\u002Fp>\u003Cp>\u003Cbr>\u003C\u002Fp>\u003Cp>\u003Cspan style=\"color: rgb(0, 0, 0);\">Tạp chí Y Dược học Cần Thơ thực hiện quy trình phản biện kín hai chiều nghiêm ngặt. Danh tính của những người phản biện không được tiết lộ cho các tác giả và ngược lại. Quy trình thẩm định bài báo đăng gồm các bước sau:\u003C\u002Fspan>\u003C\u002Fp>\u003Cp>\u003Cbr>\u003C\u002Fp>\u003Cp>\u003Cspan style=\"color: rgb(0, 0, 0);\">Tiếp nhận bản thảo\u003C\u002Fspan>\u003C\u002Fp>\u003Cp>\u003Cspan style=\"color: rgb(0, 0, 0);\">Tác giả liên hệ gửi bản thảo đến Tạp chí qua hệ thống trực tuyến tại website: https:\u002F\u002Ftapchi.ctump.edu.vn. Hướng dẫn về cách đăng ký, gửi bài và chuẩn bị bản thảo được cung cấp trên website của Tạp chí.\u003C\u002Fspan>\u003C\u002Fp>\u003Cp>\u003Cbr>\u003C\u002Fp>\u003Cp>\u003Cspan style=\"color: rgb(0, 0, 0);\">Sàng lọc sơ bộ\u003C\u002Fspan>\u003C\u002Fp>\u003Cp>\u003Cspan style=\"color: rgb(0, 0, 0);\">Sau khi Tòa soạn nhận được bài báo của tác giả, Ban Thư ký sẽ tiến hành kiểm tra sơ bộ bài báo (các yêu cầu về nội dung và hình thức). Những bài báo không đúng quy cách hoặc có nội dung không phù hợp hoặc vi phạm bản quyền sẽ bị từ chối (Ban Thư ký thông báo phản hồi đến tác giả trong vòng 1 tuần). Những bài báo đủ điều kiện, được Ban Thư ký tòa soạn chuyển đến Ban Biên tập có cùng chuyên môn với nội dung bài báo để đề xuất người phản biện. Thời gian kể từ khi Ban Biên tập nhận bài báo đến khi đề xuất người phản biện bài báo chậm nhất là 5 ngày.\u003C\u002Fspan>\u003C\u002Fp>\u003Cp>\u003Cbr>\u003C\u002Fp>\u003Cp>\u003Cspan style=\"color: rgb(0, 0, 0);\">Vòng phản biện\u003C\u002Fspan>\u003C\u002Fp>\u003Cp>\u003Cspan style=\"color: rgb(0, 0, 0);\">1. Ban Thư ký gửi bài và yêu cầu phản biện đến 02 phản biện độc lập.\u003C\u002Fspan>\u003C\u002Fp>\u003Cp>\u003Cbr>\u003C\u002Fp>\u003Cp>\u003Cspan style=\"color: rgb(0, 0, 0);\">2. Các phản biện gởi nhận xét cho Ban Thư ký. Thời gian từ khi gửi bài cho phản biện đến khi nhận ý kiến của phản biện tối đa là 20 ngày.\u003C\u002Fspan>\u003C\u002Fp>\u003Cp>\u003Cbr>\u003C\u002Fp>\u003Cp>\u003Cspan style=\"color: rgb(0, 0, 0);\">Xử ký kết quả phản biện\u003C\u002Fspan>\u003C\u002Fp>\u003Cp>\u003Cspan style=\"color: rgb(0, 0, 0);\">1. Nếu ý kiến đồng ý cho đăng và không cần chỉnh sửa, Ban Thư ký tiếp tục đăng bài theo qui trình.\u003C\u002Fspan>\u003C\u002Fp>\u003Cp>\u003Cbr>\u003C\u002Fp>\u003Cp>\u003Cspan style=\"color: rgb(0, 0, 0);\">2. Nếu ý kiến đồng ý đăng và cần chỉnh sửa, Ban Thư ký sẽ thông tin đến tác giả chỉnh sửa theo yêu cầu của người phản biện. Thời gian chỉnh sửa và gửi lại kéo dài không quá 2 tuần, từ khi tác giả bài báo nhận được thông tin (Quá trình này có thể lặp lại tối đa 2 lần\u002F1 bài báo). Khi có sự thống nhất, đồng ý của người phản biện; bài báo được tiếp tục đăng theo qui trình.\u003C\u002Fspan>\u003C\u002Fp>\u003Cp>\u003Cbr>\u003C\u002Fp>\u003Cp>\u003Cspan style=\"color: rgb(0, 0, 0);\">3. Những bài báo có chất lượng không đạt yêu cầu, cả 2 phản biện không đồng ý cho đăng sẽ bị Tòa soạn từ chối đăng.\u003C\u002Fspan>\u003C\u002Fp>\u003Cp>\u003Cbr>\u003C\u002Fp>\u003Cp>\u003Cspan style=\"color: rgb(0, 0, 0);\">Xuất bản\u003C\u002Fspan>\u003C\u002Fp>\u003Cp>\u003Cspan style=\"color: rgb(0, 0, 0);\">1. Ban Thư ký tổng hợp các bản thảo đã được tác giả hoàn thiện sau thẩm định trình Ban Biên tập xem xét, Tổng Biên tập phê duyệt, quyết định bài đăng theo các tiêu chí: sự phù hợp nội dung với tôn chỉ và mục đích, thể loại bài viết (ưu tiên các bài có bài có nghiên cứu chuyên sâu, hàm lượng khoa học cao), đóng góp mới bài báo, bài báo được ưu tiên đăng trong số gần nhất của Tạp chí theo thứ tự: tính thời sự, chất lượng bài báo và thời gian gửi bài.\u003C\u002Fspan>\u003C\u002Fp>\u003Cp>\u003Cbr>\u003C\u002Fp>\u003Cp>\u003Cspan style=\"color: rgb(0, 0, 0);\">2. Ban Biên tập và Ban Thư ký biên tập bản thảo, chế bản, đọc rà soát lỗi. Thời gian hoàn thành từ 10-15 ngày.\u003C\u002Fspan>\u003C\u002Fp>\u003Cp>\u003Cbr>\u003C\u002Fp>\u003Cp>\u003Cspan style=\"color: rgb(0, 0, 0);\">3. Ban Thư ký có trách nhiệm thông báo cho tác giả bài báo (bằng e-mail) về tình hình phê duyệt bài báo, thời gian, số kỳ, tập xuất bản bài báo theo qui định.\u003C\u002Fspan>\u003C\u002Fp>\u003Cp>\u003Cbr>\u003C\u002Fp>\u003Cp>\u003Cspan style=\"color: rgb(0, 0, 0);\">4. Danh sách bài báo theo số Tạp chí được in ấn và phát hành trong năm định kỳ được công bố chính thức trên website: https:\u002F\u002Ftapchi.ctump.edu.vn\u003C\u002Fspan>\u003C\u002Fp>\u003Cp>\u003Cbr>\u003C\u002Fp>",{"VOID":490},"wcQ1uqwAAAAJ","2023-05-30T08:17:21.868+00:00",[],[494],{"id":495,"createTime":28,"updateTime":28,"relativeEntities":496,"slug":28,"properties":497,"entityType":28,"verifyStatus":28,"verifyTime":28,"verifyNote":28,"languages":28,"translateLanguages":28,"viewCount":28,"url":507,"parentIds":508,"statistic":28},"6413896b-eca9-442b-a73f-182a58a0ce40",[],{"title":498,"address":501,"country":504,"abbreviation":505},{"EN":499,"VI":500},"Can Tho University of Medicine and Pharmacy","Trường Đại học Y Dược Cần Thơ",{"EN":502,"VI":503},"No 179, Nguyen Van Cu street, An Khanh ward, Ninh Kieu district, Can Tho city, Vietnam","Số 179, đường Nguyễn Văn Cừ, phường An Khánh, quận Ninh Kiều, thành phố Cần Thơ, Việt Nam",{"VOID":15},{"VOID":506},"ctump","http:\u002F\u002Fwww.ctump.edu.vn\u002F",[],[],"https:\u002F\u002Ftapchi.ctump.edu.vn\u002Findex.php\u002Fctump",{"impactFactor":32,"impactFactorByYear":512,"i10Index":32,"i10IndexLast5Year":32,"totalPublication":514,"totalPublicationByYear":515,"totalCitation":520,"totalCitationByYear":521,"totalCitationPerPublication":108,"totalCitationPerPublicationByYear":523,"hindexLast5Year":45,"hindex":45},{"2022":513,"2023":111,"2024":106},0.01,1556,{"2020":47,"2021":516,"2022":517,"2023":518,"2024":519,"2025":122},57,306,801,358,161,{"2021":146,"2022":280,"2023":522},99,{"2021":524,"2022":318,"2023":104},0.23,{"impactFactor":28,"impactFactorByYear":28,"i10Index":123,"i10IndexLast5Year":123,"totalPublication":526,"totalPublicationByYear":527,"totalCitation":526,"totalCitationByYear":528,"totalCitationPerPublication":40,"totalCitationPerPublicationByYear":531,"hindexLast5Year":49,"hindex":49},476,{"0":205,"2019":123,"2021":139,"2022":459,"2023":451,"2024":357,"2025":49,"2026":48},{"2021":42,"2022":123,"2023":161,"2024":529,"2025":360,"2026":530},136,83,{"2021":105,"2022":513,"2023":532,"2024":127,"2025":533,"2026":534},0.62,25.43,13.83,{"id":536,"createTime":537,"updateTime":382,"relativeEntities":538,"slug":539,"properties":540,"entityType":25,"verifyStatus":26,"verifyTime":28,"verifyNote":28,"languages":552,"translateLanguages":28,"viewCount":133,"subjectFields":553,"manageAffiliations":554,"indexDatabases":555,"url":556,"thumbnailPath":557,"statistic":558,"gsStatistic":594,"type":55,"analyzePriority":28},"6984a56a-db70-403b-9cc4-4013e1ceaffa","2023-05-09T06:47:40.346+00:00",[],"T%E1%BA%A1p%20ch%C3%AD%20Nghi%C3%AAn%20c%E1%BB%A9u%20n%C6%B0%E1%BB%9Bc%20ngo%C3%A0i",{"country":541,"issn":542,"title":544,"introduce":547,"gsId":550},{"VOID":15},{"VOID":543},"25252445",{"EN":545,"VI":546},"VNU Journal of Foreign Studies","Tạp chí Nghiên cứu nước ngoài",{"EN":548,"VI":549},"{\"ops\":[{\"insert\":\"\\n\\nThe \\n\"},{\"attributes\":{\"italic\":true},\"insert\":\"VNU Journal of Science\"},{\"insert\":\"\\n was established in 1985 for the publication of national and international research papers in all fields of natural sciences and technology, social sciences and humanities. 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are prokaryotic organisms with simplified versions of eukaryotic transcription systems. Genes coding for the general transcription factors TBP and TFB are present in multiple copies in several Archaea, including Halobacterium sp. NRC-1. Multiple TBP and TFBs have been proposed to participate in transcription of genes via recognition and recruitment of RNA polymerase to different classes of promoters. We attempted to knock out all six TBP and seven TFB genes in Halobacterium sp. NRC-1 using the ura 3-based gene deletion system. Knockouts were obtained for six out of thirteen genes, tbp CDF and tfb ACG, indicating that they are not essential for cell viability under standard conditions. Screening of a population of 1,000 candidate mutants showed that genes which did not yield mutants contained less that 0.1% knockouts, strongly suggesting that they are essential. The transcriptomes of two mutants, Δtbp D and Δtfb A, were compared to the parental strain and showed coordinate down regulation of many genes. Over 500 out of 2,677 total genes were regulated in the Δtbp D and Δtfb A mutants with 363 regulated in both, indicating that over 10% of genes in both strains require the action of both TbpD and TfbA for normal transcription. Culturing studies on the Δtbp D and Δtfb A mutant strains showed them to grow more slowly than the wild-type at an elevated temperature, 49°C, and they showed reduced viability at 56°C, suggesting TbpD and TfbA are involved in the heat shock response. Alignment of TBP and TFB protein sequences suggested the expansion of the TBP gene family, especially in Halobacterium sp. NRC-1, and TFB gene family in representatives of five different genera of haloarchaea in which genome sequences are available. Six of thirteen TBP and TFB genes of Halobacterium sp. NRC-1 are non-essential under standard growth conditions. TbpD and TfbA coordinate the expression of over 10% of the genes in the NRC-1 genome. The Δtbp D and Δtfb A mutant strains are temperature sensitive, possibly as a result of down regulation of heat shock genes. Sequence alignments suggest the existence of several families of TBP and TFB transcription factors in Halobacterium which may function in transcription of different classes of genes.",{"EN":915},"Genetic and transcriptomic analysis of transcription factor genes in the model halophilic Archaeon: coordinate action of TbpD and TfbA",{"VOID":917},"Bell SD, Jackson SP: Transcription and translation in Archaea: a mosaic of eukaryal and bacterial features. Trends Microbiol. 1998, 6: 222-228. 10.1016\u002FS0966-842X(98)01281-5.\nBell SD, Jackson SP: Mechanism of autoregulation by an archaeal transcriptional repressor. J Biol Chem. 2000, 275: 31624-31629. 10.1074\u002Fjbc.M005422200.\nReich CI, McNeil LK, Brace JL, Brucker JK, Olsen GJ: Archaeal RecA homologues: different response to DNA-damaging agents in mesophilic and thermophilic Archaea. 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J Bacteriol. 2003, 185: 311-316. 10.1128\u002FJB.185.1.311-316.2003.\nWoodson JD, Zayas CL, Escalante-Semerena JC: A new pathway for salvaging the coenzyme B12 precursor cobinamide in archaea requires cobinamide-phosphate synthase (CbiB) enzyme activity. J Bacteriol. 2003, 185: 7193-7201. 10.1128\u002FJB.185.24.7193-7201.2003.\nWoodson JD, Escalante-Semerena JC: CbiZ, an amidohydrolase enzyme required for salvaging the coenzyme B12 precursor cobinamide in archaea. Proc Natl Acad Sci U S A. 2004, 101: 3591-3596. 10.1073\u002Fpnas.0305939101.\nWoodson JD, Reynolds AA, Escalante-Semerena JC: ABC transporter for corrinoids in Halobacterium sp. strain NRC-1. J Bacteriol. 2005, 187: 5901-5909. 10.1128\u002FJB.187.17.5901-5909.2005.\nWang G, Kennedy SP, Fasiludeen S, Rensing C, DasSarma S: Arsenic resistance in Halobacterium sp. strain NRC-1 examined by using an improved gene knockout system. J Bacteriol. 2004, 186: 3187-3194. 10.1128\u002FJB.186.10.3187-3194.2004.\nBaliga NS, Bjork SJ, Bonneau R, Pan M, Iloanusi C, Kottemann MC, Hood L, DiRuggiero J: Systems level insights into the stress response to UV radiation in the halophilic archaeon Halobacterium NRC-1. Genome Res. 2004, 14: 1025-1035. 10.1101\u002Fgr.1993504.\nBaliga NS, Pan M, Goo YA, Yi EC, Goodlett DR, Dimitrov K, Shannon P, Aebersold R, Ng WV, Hood L: Coordinate regulation of energy transduction modules in Halobacterium sp. analyzed by a global systems approach. Proc Natl Acad Sci U S A. 2002, 99: 14913-14918. 10.1073\u002Fpnas.192558999.\nMcCready S, Muller JA, Boubriak I, Berquist BR, Ng WL, DasSarma S: UV irradiation induces homologous recombination genes in the model archaeon, Halobacterium sp. NRC-1. Saline Systems. 2005, 1: 3-10.1186\u002F1746-1448-1-3.\nMüller JA, DasSarma S: Genomic analysis of anaerobic respiration in the archaeon Halobacterium sp. strain NRC-1: dimethyl sulfoxide and trimethylamine N-oxide as terminal electron acceptors. J Bacteriol. 2005, 187: 1659-1667. 10.1128\u002FJB.187.5.1659-1667.2005.\nCoker JA, Dassarma P, Kumar J, Müller JA, Dassarma S: Transcriptional profiling of the model Archaeon Halobacterium sp. NRC-1: responses to changes in salinity and temperature. Saline Systems. 2007, 3: 6-10.1186\u002F1746-1448-3-6.\nNarberhaus F: Alpha-crystallin-type heat shock proteins: socializing minichaperones in the context of a multichaperone network. Microbiol Mol Biol Rev. 2002, 66: 64-93. 10.1128\u002FMMBR.66.1.64-93.2002.\nShukla HD: Proteomic analysis of acidic chaperones, and stress proteins in extreme halophile Halobacterium NRC-1: a comparative proteomic approach to study heat shock response. 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EMBO J. 1999, 18: 6744-6751. 10.1093\u002Femboj\u002F18.23.6744.\nKlunker D, Haas B, Hirtreiter A, Figueiredo L, Naylor DJ, Pfeifer G, Muller V, Deppenmeier U, Gottschalk G, Hartl FU, Hayer-Hartl M: Coexistence of group I and group II chaperonins in the archaeon Methanosarcina mazei. J Biol Chem. 2003, 278: 33256-33267. 10.1074\u002Fjbc.M302018200.\nChapman E, Farr GW, Usaite R, Furtak K, Fenton WA, Chaudhuri TK, Hondorp ER, Matthews RG, Wolf SG, Yates JR, Pypaert M, Horwich AL: Global aggregation of newly translated proteins in an Escherichia coli strain deficient of the chaperonin GroEL. Proc Natl Acad Sci U S A. 2006, 103: 15800-15805. 10.1073\u002Fpnas.0607534103.\nDaniels CJ, McKee AH, Doolittle WF: Archaebacterial heat-shock proteins. EMBO J. 1984, 3: 745-749.\nBartfai R, Balduf C, Hilton T, Rathmann Y, Hadzhiev Y, Tora L, Orban L, Muller F: TBP2, a vertebrate-specific member of the TBP family, is required in embryonic development of zebrafish. Curr Biol. 2004, 14: 593-598. 10.1016\u002Fj.cub.2004.03.034.\nSantangelo TJ, Cubonova L, James CL, Reeve JN: TFB1 or TFB2 is sufficient for Thermococcus kodakaraensis viability and for basal transcription in vitro. J Mol Biol. 2007, 367: 344-357. 10.1016\u002Fj.jmb.2006.12.069.\nFacciotti MT, Reiss DJ, Pan M, Kaur A, Vuthoori M, Bonneau R, Shannon P, Srivastava A, Donohoe SM, Hood LE, Baliga NS: General transcription factor specified global gene regulation in archaea. Proc Natl Acad Sci U S A. 2007, 104: 4630-4635. 10.1073\u002Fpnas.0611663104.\nHughes TR, Mao M, Jones AR, Burchard J, Marton MJ, Shannon KW, Lefkowitz SM, Ziman M, Schelter JM, Meyer MR, Kobayashi S, Davis C, Dai H, He YD, Stephaniants SB, Cavet G, Walker WL, West A, Coffey E, Shoemaker DD, Stoughton R, Blanchard AP, Friend SH, Linsley PS: Expression profiling using microarrays fabricated by an ink-jet oligonucleotide synthesizer. 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Nat Genet. 2002, 32 Suppl: 496-501. 10.1038\u002Fng1032.",{"VOID":919},"10.1186\u002F1471-2156-8-61","PUBLICATION","Auto Verify","https:\u002F\u002Fbmcgenomdata.biomedcentral.com\u002Farticles\u002F10.1186\u002F1471-2156-8-61",[924,940],{"id":925,"sortIndex":32,"researcher":28,"roles":926,"affiliations":928,"properties":937,"displayName":939,"givenName":28,"familyName":28},"5869f749-486f-4c24-ae7c-53f74d1f3d3d",[927],"AUTHOR",[929],{"id":930,"sortIndex":32,"affiliation":931,"properties":28},"c3fcc8f6-2894-49b6-ab1c-878b5312508a",{"id":930,"createTime":28,"updateTime":28,"relativeEntities":932,"slug":28,"properties":933,"entityType":28,"verifyStatus":28,"verifyTime":28,"verifyNote":28,"languages":28,"translateLanguages":28,"viewCount":28,"url":28,"parentIds":936,"statistic":28},[],{"title":934},{"VI":935},"University of Maryland Biotechnology Institute, Center of Marine Biotechnology, Baltimore, USA",[],{"title":938},{"VI":939},"James A Coker",{"id":941,"sortIndex":40,"researcher":28,"roles":942,"affiliations":943,"properties":950,"displayName":952,"givenName":28,"familyName":28},"2b9021c1-b9b7-4f24-838f-df8c99bca2da",[927],[944],{"id":930,"sortIndex":32,"affiliation":945,"properties":28},{"id":930,"createTime":28,"updateTime":28,"relativeEntities":946,"slug":28,"properties":947,"entityType":28,"verifyStatus":28,"verifyTime":28,"verifyNote":28,"languages":28,"translateLanguages":28,"viewCount":28,"url":28,"parentIds":949,"statistic":28},[],{"title":948},{"VI":935},[],{"title":951},{"VI":952},"Shiladitya DasSarma","ARTICLE",{"url":922,"publisher":955,"properties":974},{"id":868,"createTime":869,"updateTime":870,"relativeEntities":956,"slug":872,"properties":957,"entityType":25,"verifyStatus":880,"verifyTime":28,"verifyNote":28,"languages":28,"translateLanguages":28,"viewCount":32,"subjectFields":960,"manageAffiliations":961,"indexDatabases":962,"url":28,"thumbnailPath":28,"statistic":969,"gsStatistic":28,"type":55,"analyzePriority":28},[],{"issn":958,"title":959},{"VOID":875},{"EN":877},[],[],[963],{"id":885,"indexDatabase":964,"url":891,"indexYears":892,"academicFieldIds":28,"indexDatabaseRanking":893},{"id":792,"createTime":28,"updateTime":28,"relativeEntities":965,"label":966,"description":967,"key":798,"publicationTags":968,"standard":28},[],{"EN":795,"VI":795},{"EN":795,"VI":797},[800],{"impactFactor":32,"impactFactorByYear":970,"i10Index":32,"i10IndexLast5Year":32,"totalPublication":896,"totalPublicationByYear":971,"totalCitation":32,"totalCitationByYear":972,"totalCitationPerPublication":32,"totalCitationPerPublicationByYear":973,"hindexLast5Year":32,"hindex":32},{},{"2000":123,"2001":357,"2002":145,"2003":158,"2004":199,"2005":898,"2006":133,"2007":206,"2008":353,"2009":149,"2010":151,"2011":689,"2012":157,"2013":207,"2014":358,"2015":566,"2016":358,"2017":157,"2018":207,"2019":50,"2020":826},{},{},{"pages":975,"volume":977},{"VOID":976},"1-13",{"VOID":978},"8","2007-09-24",2007,[893],false,{"id":984,"createTime":985,"updateTime":986,"relativeEntities":987,"slug":988,"properties":989,"entityType":920,"verifyStatus":26,"verifyTime":986,"verifyNote":921,"languages":28,"translateLanguages":28,"viewCount":32,"primaryUrl":998,"fullTextUrl":28,"authors":999,"publicationType":953,"publisherRelationship":1058,"citationCount":28,"citationInfo":28,"publishDate":1083,"publishYear":1084,"citationAnalyzeStatus":880,"lastCitationAnalyze":28,"indexDatabases":1085,"openAccess":28,"references":28,"isForceReanalyzing":982},"00450cbd-17f8-4d98-8cd5-3496c5f4951b","2024-01-17T08:12:29.610+00:00","2024-12-21T16:20:20.058+00:00",[],"Locating-disease-genes-using-Bayesian-variable-selection-with-the-Haseman-Elston-method",{"abstract":990,"title":992,"references":994,"doi":996},{"EN":991},"We applied stochastic search variable selection (SSVS), a Bayesian model selection method, to the simulated data of Genetic Analysis Workshop 13. We used SSVS with the revisited Haseman-Elston method to find the markers linked to the loci determining change in cholesterol over time. To study gene-gene interaction (epistasis) and gene-environment interaction, we adopted prior structures, which incorporate the relationship among the predictors. This allows SSVS to search in the model space more efficiently and avoid the less likely models. In applying SSVS, instead of looking at the posterior distribution of each of the candidate models, which is sensitive to the setting of the prior, we ranked the candidate variables (markers) according to their marginal posterior probability, which was shown to be more robust to the prior. Compared with traditional methods that consider one marker at a time, our method considers all markers simultaneously and obtains more favorable results. We showed that SSVS is a powerful method for identifying linked markers using the Haseman-Elston method, even for weak effects. SSVS is very effective because it does a smart search over the entire model space.",{"EN":993},"Locating disease genes using Bayesian variable selection with the Haseman-Elston method",{"VOID":995},"Elston RC, Buxbaum S, Jacobs KB, Olson JM: Haseman and Elston revisited. Genet Epidemiol. 2000, 19: 1-17. 10.1002\u002F1098-2272(200007)19:1\u003C1::AID-GEPI1>3.0.CO;2-E.\nSuh YJ, Finch SJ, Mendell NR: Application of a Bayesian method for optimal subset regression to linkage analysis of Q1 and Q2. Genet Epidemiol. 2001, 21 (suppl 1): S706-S711.\nGeorge EI, McCulloch RE: Variable selection via Gibbs sampling. J Am Stat Assoc. 1993, 88: 881-889. 10.2307\u002F2290777.\nChipman H: Bayesian variable selection with related predictors. Can J Stat. 1996, 24: 17-36.\nCase Western University: SAGE, Statistical Analysis of Genetic Epidemiology release 3.1. Cleveland, Ohio, Department of Genetic Epidemiology and Biostatistics, Rammelkamp Center for Education and Research, Case Western Reserve University. 1997\nSakamoto Y, Ishiguro M, Kitagawa G: Akaike Information Criterion Statistics. Dordrecht: Reidel Publishing Company. 1986\nR Development Core Team: The R Referene Index. [http:\u002F\u002Fcran.r-project.org\u002Fdoc\u002Fmanuals\u002Frefman.pdf]\nFeingold EL: Regression-based quantitative-trait-locus mapping in the 21st century. Am J Hum Genet. 2002, 71: 217-22. 10.1086\u002F341964.",{"VOID":997},"10.1186\u002F1471-2156-4-S1-S69","https:\u002F\u002Fbmcgenomdata.biomedcentral.com\u002Farticles\u002F10.1186\u002F1471-2156-4-S1-S69",[1000,1015,1030,1045],{"id":1001,"sortIndex":32,"researcher":28,"roles":1002,"affiliations":1003,"properties":1012,"displayName":1014,"givenName":28,"familyName":28},"dbe0e28d-d290-40b8-bdb8-118fca7ad470",[927],[1004],{"id":1005,"sortIndex":32,"affiliation":1006,"properties":28},"645ead39-baff-4a03-8e91-ed313a7284e7",{"id":1005,"createTime":28,"updateTime":28,"relativeEntities":1007,"slug":28,"properties":1008,"entityType":28,"verifyStatus":28,"verifyTime":28,"verifyNote":28,"languages":28,"translateLanguages":28,"viewCount":28,"url":28,"parentIds":1011,"statistic":28},[],{"title":1009},{"VI":1010},"Department of Epidemiology and Public Health, Yale University School of Medicine, New haven, USA",[],{"title":1013},{"VI":1014},"Cheongeun Oh",{"id":1016,"sortIndex":40,"researcher":28,"roles":1017,"affiliations":1018,"properties":1027,"displayName":1029,"givenName":28,"familyName":28},"a74f0aee-4a20-40a4-9076-b8091d8c6b40",[927],[1019],{"id":1020,"sortIndex":32,"affiliation":1021,"properties":28},"8aadc0d6-7ae9-4059-a071-ba652e74a896",{"id":1020,"createTime":28,"updateTime":28,"relativeEntities":1022,"slug":28,"properties":1023,"entityType":28,"verifyStatus":28,"verifyTime":28,"verifyNote":28,"languages":28,"translateLanguages":28,"viewCount":28,"url":28,"parentIds":1026,"statistic":28},[],{"title":1024},{"VI":1025},"Department of Applied Mathematics and Statistics, State University of New York at Stony Brook, Stony Brook, USA",[],{"title":1028},{"VI":1029},"Kenny Q Ye",{"id":1031,"sortIndex":123,"researcher":28,"roles":1032,"affiliations":1033,"properties":1042,"displayName":1044,"givenName":28,"familyName":28},"29738507-7cde-4108-a044-ec0bff329b9d",[927],[1034],{"id":1035,"sortIndex":32,"affiliation":1036,"properties":28},"59af5027-7f3a-4221-8944-62fb94edddce",{"id":1035,"createTime":28,"updateTime":28,"relativeEntities":1037,"slug":28,"properties":1038,"entityType":28,"verifyStatus":28,"verifyTime":28,"verifyNote":28,"languages":28,"translateLanguages":28,"viewCount":28,"url":28,"parentIds":1041,"statistic":28},[],{"title":1039},{"EN":1040},"Department of Preventive Medicine, State University of New York at Stony Brook, Stony Brook, USA",[],{"title":1043},{"VI":1044},"Qimei He",{"id":1046,"sortIndex":42,"researcher":28,"roles":1047,"affiliations":1048,"properties":1055,"displayName":1057,"givenName":28,"familyName":28},"d902198a-5946-4784-8b4b-b643c708efb6",[927],[1049],{"id":1020,"sortIndex":32,"affiliation":1050,"properties":28},{"id":1020,"createTime":28,"updateTime":28,"relativeEntities":1051,"slug":28,"properties":1052,"entityType":28,"verifyStatus":28,"verifyTime":28,"verifyNote":28,"languages":28,"translateLanguages":28,"viewCount":28,"url":28,"parentIds":1054,"statistic":28},[],{"title":1053},{"VI":1025},[],{"title":1056},{"VI":1057},"Nancy R Mendell",{"url":998,"publisher":1059,"properties":1078},{"id":868,"createTime":869,"updateTime":870,"relativeEntities":1060,"slug":872,"properties":1061,"entityType":25,"verifyStatus":880,"verifyTime":28,"verifyNote":28,"languages":28,"translateLanguages":28,"viewCount":32,"subjectFields":1064,"manageAffiliations":1065,"indexDatabases":1066,"url":28,"thumbnailPath":28,"statistic":1073,"gsStatistic":28,"type":55,"analyzePriority":28},[],{"issn":1062,"title":1063},{"VOID":875},{"EN":877},[],[],[1067],{"id":885,"indexDatabase":1068,"url":891,"indexYears":892,"academicFieldIds":28,"indexDatabaseRanking":893},{"id":792,"createTime":28,"updateTime":28,"relativeEntities":1069,"label":1070,"description":1071,"key":798,"publicationTags":1072,"standard":28},[],{"EN":795,"VI":795},{"EN":795,"VI":797},[800],{"impactFactor":32,"impactFactorByYear":1074,"i10Index":32,"i10IndexLast5Year":32,"totalPublication":896,"totalPublicationByYear":1075,"totalCitation":32,"totalCitationByYear":1076,"totalCitationPerPublication":32,"totalCitationPerPublicationByYear":1077,"hindexLast5Year":32,"hindex":32},{},{"2000":123,"2001":357,"2002":145,"2003":158,"2004":199,"2005":898,"2006":133,"2007":206,"2008":353,"2009":149,"2010":151,"2011":689,"2012":157,"2013":207,"2014":358,"2015":566,"2016":358,"2017":157,"2018":207,"2019":50,"2020":826},{},{},{"pages":1079,"volume":1081},{"VOID":1080},"1-9",{"VOID":1082},"4","2003-12-31",2003,[893],{"id":1087,"createTime":1088,"updateTime":1088,"relativeEntities":1089,"slug":28,"properties":1090,"entityType":920,"verifyStatus":880,"verifyTime":28,"verifyNote":28,"languages":28,"translateLanguages":28,"viewCount":32,"primaryUrl":1099,"fullTextUrl":28,"authors":1100,"publicationType":953,"publisherRelationship":1173,"citationCount":28,"citationInfo":28,"publishDate":1198,"publishYear":1199,"citationAnalyzeStatus":880,"lastCitationAnalyze":28,"indexDatabases":1200,"openAccess":28,"references":28,"isForceReanalyzing":982},"0098cdf1-f992-4f8b-b8f7-219e3d7c1269","2023-12-07T12:26:03.445+00:00",[],{"abstract":1091,"title":1093,"references":1095,"doi":1097},{"EN":1092},"Service sire has a considerable impact on reproductive success in dairy cattle. Most gene mapping studies for bull fertility have focused on additive effects, while non-additive effects have been largely ignored. The main goal of this study was to assess the relevance of non-additive effects on Sire Conception Rate (SCR) in Holstein dairy cattle. The analysis included 7.5 k Holstein bulls with both SCR records and 57.8 k single nucleotide polymorphism (SNP) markers spanning the entire genome. The importance of non-additive effects was evaluated using an efficient two-step mixed model-based approach. Four genomic regions located on chromosomes BTA8, BTA9, BTA13 and BTA17 showed marked dominance and\u002For recessive effects. Most of these regions harbor genes, such as ADAM28, DNAJA1, TBC1D20, SPO11, PIWIL3 and TMEM119, that are directly implicated in testis development, male germ line maintenance, and sperm maturation. This study provides further evidence for the relevance of non-additive effects in fitness-related traits, such as male fertility. In addition, these findings may point out new strategies for improving service sire fertility in dairy cattle via marker-assisted selection.",{"EN":1094},"Whole-genome scan reveals significant non-additive effects for sire conception rate in Holstein cattle",{"VOID":1096},"Inchaisri C, Jorritsma R, Vos PLAM, van der Weijden GC, Hogeveen H. Economic consequences of reproductive performance in dairy cattle. Theriogenology. 2010;74(5):835–46.\nKropp J, Peñagaricano F, Salih SM, Khatib H. Invited review: genetic contributions underlying the development of preimplantation bovine embryos. J Dairy Sci. 2014;97(3):1187–201.\nNagamine Y, Sasaki O. Effect of environmental factors on fertility of Holstein-Friesian cattle in Japan. Livest Sci. 2008;115(1):89–93.\nDeJarnette JM, Marshall CE, Lenz RW, Monke DR, Ayars WH, Sattler CG. Sustaining the fertility of artificially inseminated dairy cattle: the role of the artificial insemination industry. Journal of Dairy Science. 2004;87:E93–E104.\nAmann RP, DeJarnette JM. Impact of genomic selection of AI dairy sires on their likely utilization and methods to estimate fertility: a paradigm shift. Theriogenology. 2012;77(5):795–817.\nDruet T, Fritz S, Sellem E, Basso B, Gerard O, Salas-Cortes L, Humblot P, Druart X, Eggen A. Estimation of genetic parameters and genome scan for 15 semen characteristics traits of Holstein bulls. J Anim Breed Genet. 2009;126(4):269–77.\nFeugang JM, Rodriguez-Osorio N, Kaya A, Wang H, Page G, Ostermeier GC, Topper EK, Memili E. Transcriptome analysis of bull spermatozoa: implications for male fertility. Reprod BioMed Online. 2010;21(3):312–24.\nPeddinti D, Nanduri B, Kaya A, Feugang JM, Burgess SC, Memili E. Comprehensive proteomic analysis of bovine spermatozoa of varying fertility rates and identification of biomarkers associated with fertility. BMC Syst Biol. 2008;2:19.\nGaviraghi A, Deriu F, Soggiu A, Galli A, Bonacina C, Bonizzi L, Roncada P. Proteomics to investigate fertility in bulls. Vet Res Commun. 2010;34:S33–6.\nKhatib H, Monson RL, Huang W, Khatib R, Schutzkus V, Khateeb H, Parrish JJ. Validation of in vitro fertility genes in a Holstein bull population. J Dairy Sci. 2010;93(5):2244–9.\nLan XY, Peñagaricano F, DeJung L, Weigel KA, Khatib H. A missense mutation in the PROP1 (prophet of pit 1) gene affects male fertility and milk production traits in the US Holstein population. J Dairy Sci. 2013;96(2):1255–7.\nLi G, Peñagaricano F, Weigel KA, Zhang Y, Rosa G, Khatib H. Comparative genomics between fly, mouse, and cattle identifies genes associated with sire conception rate. J Dairy Sci. 2012;95(10):6122–9.\nPeñagaricano F, Weigel KA, Khatib H. Genome-wide association study identifies candidate markers for bull fertility in Holstein dairy cattle. Anim Genet. 2012;43:65–71.\nBlaschek M, Kaya A, Zwald N, Memili E, Kirkpatrick BW. A whole-genome association analysis of noncompensatory fertility in Holstein bulls. J Dairy Sci. 2011;94(9):4695–9.\nFeugang JM, Kaya A, Page GP, Chen L, Mehta T, Hirani K, Nazareth L, Topper E, Gibbs R, Memili E. Two-stage genome-wide association study identifies integrin beta 5 as having potential role in bull fertility. BMC Genomics. 2009;10:176.\nWhiston R, Finlay EK, McCabe MS, Cormican P, Flynn P, Cromie A, Hansen PJ, Lyons A, Fair S, Lonergan P, et al. A dual targeted β-defensin and exome sequencing approach to identify, validate and functionally characterise genes associated with bull fertility. Sci Rep. 2017;7(1):12287.\nHan Y, Peñagaricano F. Unravelling the genomic architecture of bull fertility in Holstein cattle. BMC Genet. 2016;17(1):143.\nPeñagaricano F, Weigel KA, Rosa GJM, Khatib H. Inferring quantitative trait pathways associated with bull fertility from a genome-wide association study. Front Genet. 2013;3:307.\nHill WG, Goddard ME, Visscher PM. Data and theory point to mainly additive genetic variance for complex traits. PLoS Genet. 2008;4(2):e1000008.\nHuang W, Mackay TFC. The genetic architecture of quantitative traits cannot be inferred from variance component analysis. PLoS Genet. 2016;12(11):e1006421.\nKuhn MT, Hutchison JL. Prediction of dairy bull fertility from field data: use of multiple services and identification and utilization of factors affecting bull fertility. J Dairy Sci. 2008;91(6):2481–92.\nKuhn MT, Hutchison JL, Norman HD. Modeling nuisance variables for prediction of service sire fertility. J Dairy Sci. 2008;91(7):2823–35.\nAulchenko YS, de Koning DJ, Haley C. Genomewide rapid association using mixed model and regression: a fast and simple method for genomewide pedigree-based quantitative trait loci association analysis. Genetics. 2007;177:577–85.\nAulchenko YS, Struchalin MV, van Duijn CM. ProbABEL package for genome-wide association analysis of imputed data. BMC Bioinformatics. 2010;11(1):134.\nAulchenko YS, Ripke S, Isaacs A, van Duijn CM. GenABEL: an R library for genome-wide association analysis. Bioinformatics. 2007;23(10):1294–6.\nTsepilov YA, Shin SY, Soranzo N, Spector TD, Prehn C, Adamski J, Kastenmuller G, Wang-Sattler R, Strauch K, Gieger C, et al. Nonadditive effects of genes in human metabolomics. Genetics. 2015;200(3):707–18.\nAbdollahi-Arpanahi R, Morota G, Peñagaricano F. Predicting bull fertility using genomic data and biological information. J Dairy Sci. 2017;100(12):9656–66.\nWolfsberg TG, Straight PD, Gerena RL, Huovila A-PJ, Primakoff P, Myles DG, White JM. ADAM, a widely distributed and developmentally regulated gene family encoding membrane proteins with a disintegrin and metalloprotease domain. Dev Biol. 1995;169(1):378–83.\nOh J, Woo J-M, Choi E, Kim T, Cho B-N, Park ZY, Kim YC, Kim DH, Cho C. Molecular, biochemical, and cellular characterization of epididymal ADAMs, ADAM7 and ADAM28. Biochem Biophys Res Commun. 2005;331(4):1374–83.\nHu Y, Zhou Z, Huang X, Xu M, Lu L, Xu Z, Li J, Sha J. Expression of a novel DnaJA1 alternative splicing in human testis and sperm. Int J Androl. 2004;27(6):343–9.\nTerada K, Yomogida K, Imai T, Kiyonari H, Takeda N, Kadomatsu T, Yano M, Aizawa S, Mori M. A type I DnaJ homolog, DjA1, regulates androgen receptor signaling and spermatogenesis. EMBO J. 2005;24(3):611–22.\nLiegel Ryan P, Handley Mark T, Ronchetti A, Brown S, Langemeyer L, Linford A, Chang B, Morris-Rosendahl Deborah J, Carpanini S, Posmyk R, et al. Loss-of-function mutations in TBCb1D20 cause cataracts and male infertility in blind sterile mice and Warburg micro syndrome in humans. Am J Hum Genet. 2013;93(6):1001–14.\nPark AK, Liegel RP, Ronchetti A, Ebert AD, Geurts A, Sidjanin DJ. Targeted disruption of TBC1D20 with zinc-finger nucleases causes cataracts and testicular abnormalities in mice. BMC Genet. 2014;15:135.\nKeeney S, Giroux CN, Kleckner N. Meiosis-specific DNA double-strand breaks are catalyzed by Spo11, a member of a widely conserved protein family. Cell. 1997;88(3):375–84.\nBaudat F, Manova K, Yuen JP, Jasin M, Keeney S. Chromosome synapsis defects and sexually dimorphic meiotic progression in mice lacking Spo11. Mol Cell. 2000;6(5):989–98.\nGhalkhani E, Sheidai M, Gourabi H, Noormohammadi Z, Bakhtari N, Malekasgar AM. Study of single nucleotide polymorphism (rs28368082) in SPO11 gene and its association with male infertility. J Assist Reprod Genet. 2014;31(9):1205–10.\nChoi E, Han C, Park I, Lee B, Jin S, Choi H, Kim DH, Park ZY, Eddy EM, Cho C. A novel germ cell-specific protein, SHIP1, forms a complex with chromatin remodeling activity during spermatogenesis. J Biol Chem. 2008;283(50):35283–94.\nK-i I, Kim J, Shibuya H, Hernández-Hernández A, Suzuki A, Fukagawa T, Shioi G, Kiyonari H, Li XC, Schimenti J, et al. meiosis-specific cohesin mediates homolog recognition in mouse spermatocytes. Genes Dev. 2014;28(6):594–607.\nYoule RJ, Strasser A. The BCL-2 protein family: opposing activities that mediate cell death. Nat Rev Mol Cell Biol. 2008;9(1):47–59.\nBeumer TL, Roepers-Gajadien HL, Gademan IS, Lock TMTW, Kal HB, De Rooij DG. Apoptosis regulation in the testis: involvement of Bcl-2 family members. Mol Reprod Dev. 2000;56(3):353–9.\nParonetto MP, Sette C. Role of RNA-binding proteins in mammalian spermatogenesis. Int J Androl. 2010;33(1):2–12.\nGu A, Ji G, Shi X, Long Y, Xia Y, Song L, Wang S, Wang X. Genetic variants in Piwi-interacting RNA pathway genes confer susceptibility to spermatogenic failure in a Chinese population. Hum Reprod. 2010;25(12):2955–61.\nMizuhashi K, Chaya T, Kanamoto T, Omori Y, Furukawa T. Obif, a transmembrane protein, is required for bone mineralization and spermatogenesis in mice. PLoS One. 2015;10(7):e0133704.",{"VOID":1098},"10.1186\u002Fs12863-018-0600-4","https:\u002F\u002Fbmcgenet.biomedcentral.com\u002Farticles\u002F10.1186\u002Fs12863-018-0600-4",[1101,1125,1138,1151],{"id":1102,"sortIndex":32,"researcher":28,"roles":1103,"affiliations":1104,"properties":1122,"displayName":1124,"givenName":28,"familyName":28},"67a046ae-a273-41c4-b281-751ec4b45b5e",[927],[1105,1113],{"id":1106,"sortIndex":32,"affiliation":1107,"properties":28},"159f49a7-bb2e-4eaf-8a1d-01d0f26db829",{"id":1106,"createTime":28,"updateTime":28,"relativeEntities":1108,"slug":28,"properties":1109,"entityType":28,"verifyStatus":28,"verifyTime":28,"verifyNote":28,"languages":28,"translateLanguages":28,"viewCount":28,"url":28,"parentIds":1112,"statistic":28},[],{"title":1110},{"VI":1111},"Department of Animal Sciences, University of Florida, Gainesville, USA",[],{"id":1114,"sortIndex":40,"affiliation":1115,"properties":1121},"ac4a05ac-1402-46f5-95ae-5d199e965d61",{"id":1114,"createTime":28,"updateTime":28,"relativeEntities":1116,"slug":28,"properties":1117,"entityType":28,"verifyStatus":28,"verifyTime":28,"verifyNote":28,"languages":28,"translateLanguages":28,"viewCount":28,"url":28,"parentIds":1120,"statistic":28},[],{"title":1118},{"VI":1119},"Polo de Desarrollo Universitario, Universidad de la República, Tacuarembó, Uruguay",[],{},{"title":1123},{"VI":1124},"Paula Nicolini",{"id":1126,"sortIndex":40,"researcher":28,"roles":1127,"affiliations":1128,"properties":1135,"displayName":1137,"givenName":28,"familyName":28},"74970cb8-d418-4f98-a087-946a767a7bc5",[927],[1129],{"id":1106,"sortIndex":32,"affiliation":1130,"properties":28},{"id":1106,"createTime":28,"updateTime":28,"relativeEntities":1131,"slug":28,"properties":1132,"entityType":28,"verifyStatus":28,"verifyTime":28,"verifyNote":28,"languages":28,"translateLanguages":28,"viewCount":28,"url":28,"parentIds":1134,"statistic":28},[],{"title":1133},{"VI":1111},[],{"title":1136},{"VI":1137},"Rocío Amorín",{"id":1139,"sortIndex":123,"researcher":28,"roles":1140,"affiliations":1141,"properties":1148,"displayName":1150,"givenName":28,"familyName":28},"337bdbef-f48b-4965-807d-003acdb56351",[927],[1142],{"id":1106,"sortIndex":32,"affiliation":1143,"properties":28},{"id":1106,"createTime":28,"updateTime":28,"relativeEntities":1144,"slug":28,"properties":1145,"entityType":28,"verifyStatus":28,"verifyTime":28,"verifyNote":28,"languages":28,"translateLanguages":28,"viewCount":28,"url":28,"parentIds":1147,"statistic":28},[],{"title":1146},{"VI":1111},[],{"title":1149},{"VI":1150},"Yi Han",{"id":1152,"sortIndex":42,"researcher":28,"roles":1153,"affiliations":1154,"properties":1170,"displayName":1172,"givenName":28,"familyName":28},"d826d0b1-35a6-4f1f-95e1-55e63bf76aaf",[927],[1155,1161],{"id":1106,"sortIndex":32,"affiliation":1156,"properties":28},{"id":1106,"createTime":28,"updateTime":28,"relativeEntities":1157,"slug":28,"properties":1158,"entityType":28,"verifyStatus":28,"verifyTime":28,"verifyNote":28,"languages":28,"translateLanguages":28,"viewCount":28,"url":28,"parentIds":1160,"statistic":28},[],{"title":1159},{"VI":1111},[],{"id":1162,"sortIndex":40,"affiliation":1163,"properties":1169},"4b3d0a34-7ef2-4a3d-8537-bf22a99c0592",{"id":1162,"createTime":28,"updateTime":28,"relativeEntities":1164,"slug":28,"properties":1165,"entityType":28,"verifyStatus":28,"verifyTime":28,"verifyNote":28,"languages":28,"translateLanguages":28,"viewCount":28,"url":28,"parentIds":1168,"statistic":28},[],{"title":1166},{"VI":1167},"University of Florida Genetics Institute, University of Florida, Gainesville, USA",[],{},{"title":1171},{"VI":1172},"Francisco Peñagaricano",{"url":1099,"publisher":1174,"properties":1193},{"id":868,"createTime":869,"updateTime":870,"relativeEntities":1175,"slug":872,"properties":1176,"entityType":25,"verifyStatus":880,"verifyTime":28,"verifyNote":28,"languages":28,"translateLanguages":28,"viewCount":32,"subjectFields":1179,"manageAffiliations":1180,"indexDatabases":1181,"url":28,"thumbnailPath":28,"statistic":1188,"gsStatistic":28,"type":55,"analyzePriority":28},[],{"issn":1177,"title":1178},{"VOID":875},{"EN":877},[],[],[1182],{"id":885,"indexDatabase":1183,"url":891,"indexYears":892,"academicFieldIds":28,"indexDatabaseRanking":893},{"id":792,"createTime":28,"updateTime":28,"relativeEntities":1184,"label":1185,"description":1186,"key":798,"publicationTags":1187,"standard":28},[],{"EN":795,"VI":795},{"EN":795,"VI":797},[800],{"impactFactor":32,"impactFactorByYear":1189,"i10Index":32,"i10IndexLast5Year":32,"totalPublication":896,"totalPublicationByYear":1190,"totalCitation":32,"totalCitationByYear":1191,"totalCitationPerPublication":32,"totalCitationPerPublicationByYear":1192,"hindexLast5Year":32,"hindex":32},{},{"2000":123,"2001":357,"2002":145,"2003":158,"2004":199,"2005":898,"2006":133,"2007":206,"2008":353,"2009":149,"2010":151,"2011":689,"2012":157,"2013":207,"2014":358,"2015":566,"2016":358,"2017":157,"2018":207,"2019":50,"2020":826},{},{},{"pages":1194,"volume":1196},{"VOID":1195},"1-8",{"VOID":1197},"19","2018-02-27",2018,[893],{"id":1202,"createTime":1203,"updateTime":1203,"relativeEntities":1204,"slug":28,"properties":1205,"entityType":920,"verifyStatus":880,"verifyTime":28,"verifyNote":28,"languages":28,"translateLanguages":28,"viewCount":32,"primaryUrl":1214,"fullTextUrl":28,"authors":1215,"publicationType":953,"publisherRelationship":1285,"citationCount":28,"citationInfo":28,"publishDate":1310,"publishYear":1311,"citationAnalyzeStatus":880,"lastCitationAnalyze":28,"indexDatabases":1312,"openAccess":28,"references":28,"isForceReanalyzing":982},"00e1e489-a4cc-4315-bc66-9af868af5725","2023-12-13T12:45:59.809+00:00",[],{"abstract":1206,"title":1208,"references":1210,"doi":1212},{"EN":1207},"The efficiency of breeding programs partly relies on the accuracy of the estimated breeding values which decreases when pedigrees are incomplete. Two reproduction techniques are mainly used by sheep breeders to identify the sires of lambs: animal insemination and natural matings with a single ram per group of ewes. Both methods have major drawbacks, notably time-consuming tasks for breeders, and are thus used at varying levels in breeding programs. As a consequence, the percentage of known sires can be very low in some breeds and results in less accurate estimated breeding values. In order to address this issue and offer an alternative strategy for obtaining parentage information, we designed a set of 249 SNPs for parentage assignment in French sheep breeds and tested its efficiency in one breed. The set was derived from the 54 K SNP chip that was used to genotype the thirty main French sheep populations. Only SNPs in Hardy-Weinberg equilibrium, displaying the highest Minor Allele Frequency across all the thirty populations and not associated with Mendelian errors in verified family trios were selected. The panel of 249 SNPs was successfully used in an on-farm test in the BMC breed and resulted in more than 95% of lambs being assigned to a unique sire. In this study we developed a SNP panel for assignment that achieved good results in the on-farm testing. We also raised some conditions for optimal use of this panel: at least 180 SNPs should be used and a minute preparation of the list of candidate sires. Our panel also displays high levels of MAF in the SheepHapMap breeds, particularly in the South West European breeds.",{"EN":1209},"Development of a SNP panel dedicated to parentage assignment in French sheep populations",{"VOID":1211},"Anderson EC, Garza JC. The power of single-nucleotide polymorphisms for large-scale parentage inference. Genetics. 2006;172:2567–82.\nBanos G, Wiggans GR, Powell RL. Impact of paternity errors in cow identification on genetic evaluations and international comparisons. J Dairy Sci. 2001;84:2523–9.\nBaruch E, Weller JI. Estimation of the number of SNP genetic markers required for parentage verification. Anim Genet. 2008;39:474–9.\nBell A.M, Henshall J.M, Gill S, Gore K, and Kijas J.W. Success rates of commercial SNP based parentage assignment in sheep. In Proc Assoc Advmt Anim Breed Genet, pp. (2013);278–281.\nBoichard, D, Barbotte, L, and Genestout L. (2014). AccurAssign, software for accurate maximum-likelihood parentage assignment. In 10th World Congress on Genetics Applied to Livestock Production, (Vancouver (Canada)).\nClarke SM, Henry HM, Dodds KG, Jowett TWD, Manley TR, Anderson RM, et al. A high throughput single nucleotide polymorphism multiplex assay for parentage assignment in New Zealand sheep. PLoS One. 2014;9:e93392.\nDodds KG, Tate ML, McEwan JC, Crawford AM. Exclusion probabilities for pedigree testing farm animals. TAG Theor Appl Genet Theor Angew Genet. 1996;92:966–75.\nGabriel, S., Ziaugra, L., and Tabbaa, D. (2009). SNP genotyping using the Sequenom MassARRAY iPLEX platform. Curr. Protoc. Hum. Genet. Editor. Board Jonathan Haines Al Chapter 2, Unit 2.12.\nGeldermann H, Pieper U, Weber WE. Effect of misidentification on the estimation of breeding value and heritability in cattle. J Anim Sci. 1986;63:1759–68.\nHayes BJ, Technical note: efficient parentage assignment and pedigree reconstruction with dense single nucleotide polymorphism data. J Dairy Sci. 2011;94:2114–7.\nHazard D, Moreno C, Foulquié D, Delval E, François D, Bouix J, et al. Identification of QTLs for behavioral reactivity to social separation and humans in sheep using the OvineSNP50 BeadChip. BMC Genomics. 2014;15:778.\nHeaton MP, Harhay GP, Bennett GL, Stone RT, Grosse WM, Casas E, et al. Selection and use of SNP markers for animal identification and paternity analysis in U.S. beef cattle. Mamm. Genome. 2002;13:272–81.\nHeaton MP, Leymaster KA, Kalbfleisch TS, Kijas JW, Clarke SM, McEwan J, et al. SNPs for parentage testing and traceability in globally diverse breeds of sheep. PLoS One. 2014;9:e94851.\nHill WG, Salisbury BA, Webb AJ. Parentage identification using single nucleotide polymorphism genotypes: application to product tracing. J Anim Sci. 2008;86:2508–17.\nISAG (2012). ISAG - Guidelines for cattle parentage verification based on SNP markers. http:\u002F\u002Fwww.isag.us\u002Fdocs\u002Fguideline-for-cattle-snp-use-for-parentage-2012.pdf.\nIsrael C, Weller JI. Effect of misidentification on genetic gain and estimation of breeding value in dairy cattle populations. J Dairy Sci. 2000;83:181–7.\nJamieson A, Taylor SC. Comparisons of three probability formulae for parentage exclusion. Anim Genet. 1997;28:397–400.\nJones AG, Small CM, Paczolt KA, Ratterman NL. A practical guide to methods of parentage analysis: TECHNICAL REVIEW. Mol Ecol Resour. 2010;10:6–30.\nKijas JW, Lenstra JA, Hayes B, Boitard S, Porto Neto LR, San Cristobal M, et al. Genome-wide analysis of the World’s sheep breeds reveals high levels of historic mixture and strong recent selection. PLoS Biol. 2012;10:e1001258.\nLeroy G, Danchin-Burge C, Palhière I, SanCristobal M, Nédélec Y, Verrier E, et al. How do introgression events shape the partitioning of diversity among breeds: a case study in sheep. Genet Sel Evol. 2015;47:48.\nMaxwell WM, Watson PF. Recent progress in the preservation of ram semen. Anim Reprod Sci. 1996;42:55–65.\nPurcell S, Neale B, Todd-Brown K, Thomas L, Ferreira MAR, Bender D, et al. PLINK: a tool set for whole-genome association and population-based linkage analyses. Am J Hum Genet. 2007;81:559–75.\nRaoul J, Chantry-Darmon C, Barbotte L, Babilliot, J.-M., Boscher, M.-Y., and Bodin, L. (2012). Parentage assignment with molecular markers in sheep : first results of an experiment and prospects. Book Abstr. 63rd EAAP in Bratislava (Slovakia) P187.\nRaoul J, Palhière I, Astruc JM, Elsen JM. Genetic and economic effects of the increase in female paternal filiations by parentage assignment in sheep and goat breeding programs. J Anim Sci. 2016;94:3663–83.\nRochus C, Tortereau F, Plisson-Petit F, Restoux G, Moreno-Romieux C, Tosser-Klopp, G., and Servin, B. (2017) High density genome scan for selection signatures in French sheep reveals allelic heterogeneity and introgression at adaptive loci. Under review (https:\u002F\u002Fdoi.org\u002F10.1101\u002F103010 ).\nRupp R, Senin P, Sarry J, Allain C, Tasca C, Ligat L, et al. A point mutation in suppressor of cytokine signalling 2 (Socs2) increases the susceptibility to inflammation of the mammary gland while associated with higher body weight and size and higher Milk production in a sheep model. PLoS Genet. 2015;11:e1005629.\nSalle G, Jacquiet P, Gruner L, Cortet J, Sauve C, Prevot F, et al. A genome scan for QTL affecting resistance to Haemonchus contortus in sheep. J Anim Sci. 2012;90:4690–705.\nSchütz E, Brenig B. Analytical and statistical consideration on the use of the ISAG-ICAR-SNP bovine panel for parentage control, using the Illumina BeadChip technology: example on the German Holstein population. Genet Sel Evol GSE. 2015;47:3.\nSenneke SL, MacNeil MD, Van Vleck LD. Effects of sire misidentification on estimates of genetic parameters for birth and weaning weights in Hereford cattle. J Anim Sci. 2004;82:2307–12.\nStrucken EM, Gudex B, Ferdosi MH, Lee HK, Song KD, Gibson JP, et al. Performance of different SNP panels for parentage testing in two east Asian cattle breeds. Anim Genet. 2014;45:572–5.\nStrucken EM, Lee SH, Lee HK, Song KD, Gibson JP, Gondro C. How many markers are enough? Factors influencing parentage testing in different livestock populations. J Anim Breed Genet. 2015;133:13–23.\nTalenti A, Nicolazzi EL, Chessa S, Frattini S, Moretti R, Coizet B, et al. A method for single nucleotide polymorphism selection for parentage assessment in goats. J Dairy Sci. 2016;99:3646–53.\nWerner FAO, Durstewitz G, Habermann FA, Thaller G, Krämer W, Kollers S, et al. Detection and characterization of SNPs useful for identity control and parentage testing in major European dairy breeds. Anim Genet. 2004;35:44–9.",{"VOID":1213},"10.1186\u002Fs12863-017-0518-2","http:\u002F\u002Fbmcgenet.biomedcentral.com\u002Farticles\u002F10.1186\u002Fs12863-017-0518-2",[1216,1231,1244,1257,1270],{"id":1217,"sortIndex":32,"researcher":28,"roles":1218,"affiliations":1219,"properties":1228,"displayName":1230,"givenName":28,"familyName":28},"b15766e2-dc8b-4e79-9523-08710f0380b0",[927],[1220],{"id":1221,"sortIndex":32,"affiliation":1222,"properties":28},"7ad26c02-0fae-4686-9748-1fcebfbbd13f",{"id":1221,"createTime":28,"updateTime":28,"relativeEntities":1223,"slug":28,"properties":1224,"entityType":28,"verifyStatus":28,"verifyTime":28,"verifyNote":28,"languages":28,"translateLanguages":28,"viewCount":28,"url":28,"parentIds":1227,"statistic":28},[],{"title":1225},{"VI":1226},"GenPhySE, INRA, INPT, INP-ENVT, Université de Toulouse, Castanet-Tolosan, France",[],{"title":1229},{"VI":1230},"F. 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Chs2p makes chitin in the primary septum, while Chs3p makes chitin in the lateral cell wall and in the bud neck, and can partially compensate for the lack of Chs2p. Chs3p requires a pathway of Bni4p, Chs4p, Chs5p, Chs6p and Chs7p for its localization and activity. Chs1p is thought to have a septum repair function after cell separation. To further explore interactions in the chitin synthase family and to find processes buffering chitin synthesis, we compiled a genetic interaction network of genes showing synthetic interactions with CHS1, CHS3 and genes involved in Chs3p localization and function and made a phenotypic analysis of their mutants. Using deletion mutants in CHS1, CHS3, CHS4, CHS5, CHS6, CHS7 and BNI4 in a synthetic genetic array analysis we assembled a network of 316 interactions among 163 genes. The interaction network with CHS3, CHS4, CHS5, CHS6, CHS7 or BNI4 forms a dense neighborhood, with many genes functioning in cell wall assembly or polarized secretion. Chitin levels were altered in 54 of the mutants in individually deleted genes, indicating a functional relationship between them and chitin synthesis. 32 of these mutants triggered the chitin stress response, with elevated chitin levels and a dependence on CHS3. A large fraction of the CHS1-interaction set was distinct from that of the CHS3 network, indicating broad roles for Chs1p in buffering both Chs2p function and more global cell wall robustness. Based on their interaction patterns and chitin levels we group interacting mutants into functional categories. Genes interacting with CHS3 are involved in the amelioration of cell wall defects and in septum or bud neck chitin synthesis, and we newly assign a number of genes to these functions. Our genetic analysis of genes not interacting with CHS3 indicate expanded roles for Chs4p, Chs5p and Chs6p in secretory protein trafficking and of Bni4p in bud neck organization.",{"EN":1323},"An interactional network of genes involved in chitin synthesis in Saccharomyces 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E, Roh DH, Schmidt M, Crotti LB, Varma A: The yeast cell wall and septum as paradigms of cell growth and morphogenesis. 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Science. 1999, 285: 901-906. 10.1126\u002Fscience.285.5429.901.",{"id":1603,"createTime":1604,"updateTime":1605,"relativeEntities":1606,"slug":1607,"properties":1608,"entityType":920,"verifyStatus":26,"verifyTime":1605,"verifyNote":921,"languages":1616,"translateLanguages":28,"viewCount":32,"primaryUrl":1617,"fullTextUrl":28,"authors":1618,"publicationType":953,"publisherRelationship":1834,"citationCount":28,"citationInfo":28,"publishDate":1854,"publishYear":1855,"citationAnalyzeStatus":880,"lastCitationAnalyze":28,"indexDatabases":1856,"openAccess":28,"references":1857,"isForceReanalyzing":982},"00edb5e7-d42d-4adf-8355-9e8f5f9bb8c8","2024-04-11T05:05:53.492+00:00","2024-12-05T23:40:54.536+00:00",[],"The-maternal-origin-of-indigenous-domestic-chicken-from-the-Middle-East-the-north-and-the-horn-of-Africa",{"abstract":1609,"title":1611,"keywords":1613,"doi":1614},{"EN":1610},"Indigenous domestic chicken represents a major source of protein for agricultural communities around the world. In the Middle East and Africa, they are adapted to hot dry and semi-dry areas, in contrast to their wild ancestor, the Red junglefowl, which lives in humid and sub-humid tropical areas. Indigenous populations are declining following increased demand for poultry meat and eggs, favouring the more productive exotic commercial breeds. In this paper, using the D-loop of mitochondrial DNA as a maternally inherited genetic marker, we address the question of the origin and dispersal routes of domestic chicken of the Middle East (Iraq and Saudi Arabia), the northern part of the African continent (Algeria and Libya) and the Horn of Africa (Ethiopia). The analysis of the mtDNA D-loop of 706 chicken samples from Iraq (n = 107), Saudi Arabia (n = 185), Algeria (n = 88), Libya (n = 23), Ethiopia (n = 211) and Pakistan (n = 92) show the presence of five haplogroups (A, B, C, D and E), suggesting more than one maternal origin for the studied populations. Haplogroup E, which occurred in 625 samples, was the most frequent in all countries. This haplogroup most likely originates from the Indian subcontinent and probably migrated following a terrestrial route to these different countries. Haplotypes belonging to haplogroup D were present in all countries except Algeria and Libya, it is likely a legacy of the Indian Ocean maritime trading network. Haplogroup A was present in all countries and may be of commercial origin. Haplogroup B was found only in Ethiopia. Haplogroup C was only detected in the South-Western region of Saudi Arabia and in Ethiopia. The results support a major influence of the Indian subcontinent on the maternal diversity of the today’s chicken populations examined here. Most of the diversity occurs within rather than between populations. This lack of phylogeographic signal agrees with both ancient and more recent trading networks having shaped the modern-day diversity of indigenous chicken across populations and countries.",{"EN":1612},"The maternal origin of indigenous domestic chicken from the Middle East, the north and the horn of Africa",{"EN":1325},{"VOID":1615},"10.1186\u002Fs12863-020-0830-0",[31],"https:\u002F\u002Fbmcgenomdata.biomedcentral.com\u002Farticles\u002F10.1186\u002Fs12863-020-0830-0",[1619,1644,1659,1682,1697,1710,1723,1738,1753,1768,1783,1798,1813],{"id":1620,"sortIndex":32,"researcher":28,"roles":1621,"affiliations":1622,"properties":1639,"displayName":1643,"givenName":28,"familyName":28},"28888f04-f193-4569-aa94-7157a497ba5e",[],[1623,1631],{"id":1624,"sortIndex":32,"affiliation":1625,"properties":28},"cdb78dc4-9465-4d92-ac88-7e98aeb8d078",{"id":1624,"createTime":28,"updateTime":28,"relativeEntities":1626,"slug":28,"properties":1627,"entityType":28,"verifyStatus":28,"verifyTime":28,"verifyNote":28,"languages":28,"translateLanguages":28,"viewCount":28,"url":28,"parentIds":1630,"statistic":28},[],{"title":1628},{"EN":1629},"University of Anbar, Ministry of Higher Education and Scientific Research, Anbar, Iraq",[],{"id":1632,"sortIndex":32,"affiliation":1633,"properties":28},"f3b33df0-5ca8-462f-a939-74683a44397b",{"id":1632,"createTime":28,"updateTime":28,"relativeEntities":1634,"slug":28,"properties":1635,"entityType":28,"verifyStatus":28,"verifyTime":28,"verifyNote":28,"languages":28,"translateLanguages":28,"viewCount":28,"url":28,"parentIds":1638,"statistic":28},[],{"title":1636},{"EN":1637},"School of Life Sciences, the University of Nottingham, University Park, Nottingham, UK",[],{"email":1640,"title":1642},{"VOID":1641},"ahmedaljumiliy@gmail.com",{"EN":1643},"Ahmed S. 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Mol Biol Evol. 2005;22(5):1185–92.",{"id":28,"text":1931,"url":28,"identifiers":28},"Bouckaert R, Heled J, Kühnert D, Vaughan T, Wu C-H, Xie D, et al. BEAST 2: a software platform for Bayesian evolutionary analysis. PLoS Comput Biol. 2014;10(4):e1003537.",{"id":28,"text":1933,"url":28,"identifiers":28},"Rambaut A, Drummond AJ, Xie D, Baele G, Suchard MA. Posterior summarization in Bayesian phylogenetics using tracer 1.7. Syst Biol. 2018;67(5):901–4.",{"id":28,"text":1935,"url":28,"identifiers":28},"Alexander M, Ho SY, Molak M, Barnett R, Carlborg Ö, Dorshorst B, et al. Mitogenomic analysis of a 50-generation chicken pedigree reveals a rapid rate of mitochondrial evolution and evidence for paternal mtDNA inheritance. Biol Lett. 2015;11(10):20150561.",{"id":28,"text":1937,"url":28,"identifiers":28},"Ramos-Onsins SE, Rozas J. Statistical properties of new neutrality tests against population growth. Mol Biol Evol. 2002;19(12):2092–100.",{"id":28,"text":1939,"url":28,"identifiers":28},"Herrera MB, Thomson VA, Wadley JJ, Piper PJ, Sulandari S, Dharmayanthi AB, et al. East African origins for Madagascan chickens as indicated by mitochondrial DNA. R Soc Open Sci. 2017;4(3):160787.",{"id":28,"text":1941,"url":28,"identifiers":28},"Nisar A, Waheed A, Khan S, Feng X, AHJMDPA S. Population structure, genetic diversity and phylogenetic analysis of different rural and commercial chickens of Pakistan using complete sequence of mtDNA D-loop. Mitochondrial DNA A DNA Mapp Seq Anal. 2019;30(2):273–80.",{"id":28,"text":1943,"url":28,"identifiers":28},"Lyimo CM, Weigend A, Janßen-Tapken U, Msoffe PL, Simianer H, Weigend S. Assessing the genetic diversity of five Tanzanian chicken ecotypes using molecular tools. S Afr J Anim Sci. 2013;43(4):499–510.",{"id":28,"text":1945,"url":28,"identifiers":28},"Eltanany MA, Hemeda SA. Deeper insight into maternal genetic assessments and demographic history for Egyptian indigenous chicken populations using mtDNA analysis. J Adv Res. 2016;7(5):615–23.",{"id":28,"text":1947,"url":28,"identifiers":28},"Meydan H, Jang CP, Yıldız MA, Weigend S. Maternal origin of Turkish and Iranian native chickens inferred from mitochondrial DNA D-loop sequences. Asian Australas J Anim Sci. 2016;29(11):1547.",{"id":28,"text":1949,"url":28,"identifiers":28},"Osman SA-M, Yonezawa T, MJPs N. Origin and genetic diversity of Egyptian native chickens based on complete sequence of mitochondrial DNA D-loop region. Poult Sci. 2016;95(6):1248–56.",{"id":28,"text":1951,"url":28,"identifiers":28},"Hassaballah K, Zeuh V, Lawal RA, Hanotte O, Sembene M. Diversity and origin of indigenous village chickens (Gallus gallus) from Chad, Central Africa. Adv Biosci Biotechnol. 2015;6(09):592.",{"id":1953,"createTime":1954,"updateTime":1955,"relativeEntities":1956,"slug":1957,"properties":1958,"entityType":920,"verifyStatus":26,"verifyTime":1955,"verifyNote":921,"languages":28,"translateLanguages":28,"viewCount":32,"primaryUrl":1967,"fullTextUrl":28,"authors":1968,"publicationType":953,"publisherRelationship":2135,"citationCount":28,"citationInfo":28,"publishDate":2160,"publishYear":2161,"citationAnalyzeStatus":880,"lastCitationAnalyze":28,"indexDatabases":2162,"openAccess":28,"references":28,"isForceReanalyzing":982},"0155b5e1-206a-484c-9fa1-21259f309d69","2024-01-26T06:31:00.181+00:00","2025-01-21T19:15:35.061+00:00",[],"Serum-bilirubin-concentration-is-modified-by-UGT1A1-Haplotypes-and-influences-risk-of-Type-2-diabetes-in-the-Norfolk-Island-genetic-isolate",{"abstract":1959,"title":1961,"references":1963,"doi":1965},{"EN":1960},"Located in the Pacific Ocean between Australia and New Zealand, the unique population isolate of Norfolk Island has been shown to exhibit increased prevalence of metabolic disorders (type-2 diabetes, cardiovascular disease) compared to mainland Australia. We investigated this well-established genetic isolate, utilising its unique genomic structure to increase the ability to detect related genetic markers. A pedigree-based genome-wide association study of 16 routinely collected blood-based clinical traits in 382 Norfolk Island individuals was performed. A striking association peak was located at chromosome 2q37.1 for both total bilirubin and direct bilirubin, with 29 SNPs reaching statistical significance (P \u003C 1.84 × 10−7). Strong linkage disequilibrium was observed across a 200 kb region spanning the UDP-glucuronosyltransferase family, including UGT1A1, an enzyme known to metabolise bilirubin. Given the epidemiological literature suggesting negative association between CVD-risk and serum bilirubin we further explored potential associations using stepwise multivariate regression, revealing significant association between direct bilirubin concentration and type-2 diabetes risk. In the Norfolk Island cohort increased direct bilirubin was associated with a 28 % reduction in type-2 diabetes risk (OR: 0.72, 95 % CI: 0.57-0.91, P = 0.005). When adjusted for genotypic effects the overall model was validated, with the adjusted model predicting a 30 % reduction in type-2 diabetes risk with increasing direct bilirubin concentrations (OR: 0.70, 95 % CI: 0.53-0.89, P = 0.0001). In summary, a pedigree-based GWAS of blood-based clinical traits in the Norfolk Island population has identified variants within the UDPGT family directly associated with serum bilirubin levels, which is in turn implicated with reduced risk of developing type-2 diabetes within this population.",{"EN":1962},"Serum bilirubin concentration is modified by UGT1A1 Haplotypes and influences risk of Type-2 diabetes in the Norfolk Island genetic isolate",{"VOID":1964},"Macgregor S, Bellis C, Lea RA, Cox H, Dyer T, Blangero J, et al. Legacy of mutiny on the Bounty: founder effect and admixture on Norfolk Island. Eur J Hum Genet. 2010;18:67–72.\nMcEvoy BP, Zhao ZZ, Macgregor S, Bellis C, Lea RA, Cox H, et al. European and Polynesian admixture in the Norfolk Island population. Heredity (Edinb) 2010;105(2):229–234\nBenton MC, Stuart S, Bellis C, Macartney-Coxson D, Eccles D, Curran JE, et al. “Mutiny on the Bounty”: the genetic history of Norfolk Island reveals extreme gender-biased admixture. Investig Genet. 2015;6:11.\nBellis C, Cox HC, Dyer TD, Charlesworth JC, Begley KN, Quinlan S, et al. Linkage mapping of CVD risk traits in the isolated Norfolk Island population. Hum Genet. 2008;124:543–52.\nCox HC, Bellis C, Lea RA, Quinlan S, Hughes R, Dyer T, et al. Principal Component and linkage analysis of cardiovascular risk traits in the Norfolk Isolate. Hum Hered. 2009;68:55–64.\nMaher BH, Lea RA, Benton M, Cox HC, Bellis C, Carless M, et al. An X chromosome association scan of the Norfolk Island genetic isolate provides evidence for a novel migraine susceptibility locus at Xq12. PLoS One. 2012;7:e37903.\nBenton MC, Lea RA, Macartney-Coxson D, Carless MA, Göring HH, Bellis C, et al. Mapping eQTLs in the Norfolk Island Genetic Isolate Identifies Candidate Genes for CVD Risk Traits. Am J Hum Genet. 2013;93:1087–99.\nBellis C, Hughes RM, Begley KN, Quinlan S, Lea RA, Heath SC, et al. Phenotypical characterisation of the isolated Norfolk Island population focusing on epidemiological indicators of cardiovascular disease. Hum Hered. 2006;60:211–9.\nChen L, Magliano DJ, Balkau B, Colagiuri S, Zimmet PZ, Tonkin AM, et al. Ausdrisk: an australian type 2 diabetes risk assessment tool based on demographic, lifestyle and simple anthropometric measures. Med J Aust. 2010;192:197–202.\nStocker R, Yamamoto Y, McDonagh A, Glazer A, Ames B. Bilirubin is an antioxidant of possible physiological importance. 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Clin Chem. 1994;40:18–23.\nMadhavan M, Wattigney WA, Srinivasan SR, Berenson GS. Serum bilirubin distribution and its relation to cardiovascular risk in children and young adults. Atherosclerosis. 1997;131:107–13.\nNovotný L, Vítek L. Inverse relationship between serum bilirubin and atherosclerosis in men: a meta-analysis of published studies. Exp Biol Med (Maywood). 2003;228:568–71.\nSchwertner HA. Association of smoking and low serum bilirubin antioxidant concentrations1 the views expressed in this article are those of the author and do not reflect the official policy of the Department of Defense or other Departments of the US Government 1. Atherosclerosis. 1998;136:383–7.\nHoydonck PGV. Serum bilirubin concentration in a Belgian population: the association with smoking status and type of cigarettes. Int J Epidemiol. 2001;30:1465–72.\nJo J, Kimm H, Yun JE, Lee KJ, Jee SH. Cigarette smoking and serum bilirubin subtypes in healthy Korean men: the Korea Medical Institute study. 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Acute effect of weight loss on levels of total bilirubin in obese, cardiovascular high-risk patients: an analysis from the lead-in period of the Sibutramine Cardiovascular Outcome trial. Metabolism. 2009;58:1109–15.\nGuzek M, Jakubowski Z, Bandosz P, Wyrzykowski B, Smoczyński M, Jabloiska A, et al. Inverse association of serum bilirubin with metabolic syndrome and insulin resistance in Polish population. Przegla̧d Epidemiol. 2012;66:495–501.\nChoi SH, Yun KE, Choi HJ. Relationships between serum total bilirubin levels and metabolic syndrome in Korean adults. Nutr Metab Cardiovasc Dis. 2013;23:31–7.\nKwon K-M, Kam J-H, Kim M-Y, Kim M-Y, Chung CH, Kim J-K, et al. Inverse association between total bilirubin and metabolic syndrome in rural korean women. J Womens Health (Larchmt). 2011;20:963–9.\nJo J, Yun JE, Lee H, Kimm H, Jee SH. Total, direct, and indirect serum bilirubin concentrations and metabolic syndrome among the Korean population. Endocrine. 2011;39:182–9.\nTephly TR, Burchell B. UDP-glucuronosyltransferases: a family of detoxifying enzymes. Trends Pharmacol Sci. 1990;11:276–9.\nBurchell B, Brierley CH, Rance D. Specificity of human UDP-Glucuronosyltransferases and xenobiotic glucuronidation. Life Sci. 1995;57:1819–31.\nFisher MB, Paine MF, Strelevitz TJ, Wrighton SA: The role of hepatic and extrahepatic UDP-glucuronosyltransferases in human drug metabolism. Drug Metab Rev. 2002;33(3-4):273-97\nLin J-P, Cupples LA, Wilson PWF, Heard-Costa N, O’Donnell CJ. Evidence for a gene influencing serum bilirubin on chromosome 2q telomere: a genomewide scan in the Framingham study. Am J Hum Genet. 2003;72:1029–34.\nNewton-Cheh C, Johnson T, Gateva V, Tobin MD, Bochud M, Coin L, et al. Genome-wide association study identifies eight loci associated with blood pressure. Nat Genet. 2009;41:666–76.\nJohnson AD, Kavousi M, Smith AV, Chen M-H, Dehghan A, Aspelund T, et al. 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Bioinformatics. 2005;21:263–5.\nR-Development-Core-Team: R: A language and environment for statistical computing. 2015.",{"VOID":1966},"10.1186\u002Fs12863-015-0291-z","https:\u002F\u002Fwww.biomedcentral.com\u002F1471-2156\u002F16\u002F136",[1969,1984,1997,2012,2036,2051,2066,2079,2092,2107,2122],{"id":1970,"sortIndex":32,"researcher":28,"roles":1971,"affiliations":1972,"properties":1981,"displayName":1983,"givenName":28,"familyName":28},"216df2d3-cc0c-4f75-b133-c5f619cd2bf4",[927],[1973],{"id":1974,"sortIndex":32,"affiliation":1975,"properties":28},"c8defb35-25a1-447f-9be3-a8f1aeb50eff",{"id":1974,"createTime":28,"updateTime":28,"relativeEntities":1976,"slug":28,"properties":1977,"entityType":28,"verifyStatus":28,"verifyTime":28,"verifyNote":28,"languages":28,"translateLanguages":28,"viewCount":28,"url":28,"parentIds":1980,"statistic":28},[],{"title":1978},{"VI":1979},"Genomics Research Centre, Institute of Health and Biomedical Innovation, Queensland University of Technology, Kelvin Grove, Australia",[],{"title":1982},{"VI":1983},"M. C. Benton",{"id":1985,"sortIndex":40,"researcher":28,"roles":1986,"affiliations":1987,"properties":1994,"displayName":1996,"givenName":28,"familyName":28},"26edf081-58c5-46e8-abf2-ec6d00e35312",[927],[1988],{"id":1974,"sortIndex":32,"affiliation":1989,"properties":28},{"id":1974,"createTime":28,"updateTime":28,"relativeEntities":1990,"slug":28,"properties":1991,"entityType":28,"verifyStatus":28,"verifyTime":28,"verifyNote":28,"languages":28,"translateLanguages":28,"viewCount":28,"url":28,"parentIds":1993,"statistic":28},[],{"title":1992},{"VI":1979},[],{"title":1995},{"VI":1996},"R. A. Lea",{"id":1998,"sortIndex":123,"researcher":28,"roles":1999,"affiliations":2000,"properties":2009,"displayName":2011,"givenName":28,"familyName":28},"c497d431-d962-4c33-b452-ab20fb2267ed",[927],[2001],{"id":2002,"sortIndex":32,"affiliation":2003,"properties":28},"cc594d5a-75c3-49ac-9793-59b8f9c96726",{"id":2002,"createTime":28,"updateTime":28,"relativeEntities":2004,"slug":28,"properties":2005,"entityType":28,"verifyStatus":28,"verifyTime":28,"verifyNote":28,"languages":28,"translateLanguages":28,"viewCount":28,"url":28,"parentIds":2008,"statistic":28},[],{"title":2006},{"VI":2007},"Kenepuru Science Centre, Institute of Environmental Science and Research, Wellington, New Zealand",[],{"title":2010},{"VI":2011},"D. Macartney-Coxson",{"id":2013,"sortIndex":42,"researcher":28,"roles":2014,"affiliations":2015,"properties":2033,"displayName":2035,"givenName":28,"familyName":28},"513fa3ee-0064-4c7d-8dcb-cda84f77fa54",[927],[2016,2022],{"id":1974,"sortIndex":32,"affiliation":2017,"properties":28},{"id":1974,"createTime":28,"updateTime":28,"relativeEntities":2018,"slug":28,"properties":2019,"entityType":28,"verifyStatus":28,"verifyTime":28,"verifyNote":28,"languages":28,"translateLanguages":28,"viewCount":28,"url":28,"parentIds":2021,"statistic":28},[],{"title":2020},{"VI":1979},[],{"id":2023,"sortIndex":40,"affiliation":2024,"properties":2030},"5e0c233e-9f21-4cb7-8035-ffc4cb0f1b08",{"id":2023,"createTime":28,"updateTime":28,"relativeEntities":2025,"slug":28,"properties":2026,"entityType":28,"verifyStatus":28,"verifyTime":28,"verifyNote":28,"languages":28,"translateLanguages":28,"viewCount":28,"url":28,"parentIds":2029,"statistic":28},[],{"title":2027},{"VI":2028},"Texas Biomedical Research Institute, San Antonio, United States",[],{"title":2031},{"EN":2032},"Texas Biomedical Research Institute, San Antonio, USA",{"title":2034},{"VI":2035},"C. Bellis",{"id":2037,"sortIndex":45,"researcher":28,"roles":2038,"affiliations":2039,"properties":2048,"displayName":2050,"givenName":28,"familyName":28},"54165ee1-824e-44dd-98bb-431d725a32e3",[927],[2040],{"id":2023,"sortIndex":32,"affiliation":2041,"properties":2046},{"id":2023,"createTime":28,"updateTime":28,"relativeEntities":2042,"slug":28,"properties":2043,"entityType":28,"verifyStatus":28,"verifyTime":28,"verifyNote":28,"languages":28,"translateLanguages":28,"viewCount":28,"url":28,"parentIds":2045,"statistic":28},[],{"title":2044},{"VI":2028},[],{"title":2047},{"EN":2032},{"title":2049},{"VI":2050},"M. A. Carless",{"id":2052,"sortIndex":46,"researcher":28,"roles":2053,"affiliations":2054,"properties":2063,"displayName":2065,"givenName":28,"familyName":28},"de423e61-83bd-457e-bc5e-b80bc9b3c98d",[927],[2055],{"id":2023,"sortIndex":32,"affiliation":2056,"properties":2061},{"id":2023,"createTime":28,"updateTime":28,"relativeEntities":2057,"slug":28,"properties":2058,"entityType":28,"verifyStatus":28,"verifyTime":28,"verifyNote":28,"languages":28,"translateLanguages":28,"viewCount":28,"url":28,"parentIds":2060,"statistic":28},[],{"title":2059},{"VI":2028},[],{"title":2062},{"EN":2032},{"title":2064},{"VI":2065},"J. E. Curran",{"id":2067,"sortIndex":48,"researcher":28,"roles":2068,"affiliations":2069,"properties":2076,"displayName":2078,"givenName":28,"familyName":28},"997d4659-e87a-4c43-9954-8f93f911c761",[927],[2070],{"id":1974,"sortIndex":32,"affiliation":2071,"properties":28},{"id":1974,"createTime":28,"updateTime":28,"relativeEntities":2072,"slug":28,"properties":2073,"entityType":28,"verifyStatus":28,"verifyTime":28,"verifyNote":28,"languages":28,"translateLanguages":28,"viewCount":28,"url":28,"parentIds":2075,"statistic":28},[],{"title":2074},{"VI":1979},[],{"title":2077},{"VI":2078},"M. Hanna",{"id":2080,"sortIndex":49,"researcher":28,"roles":2081,"affiliations":2082,"properties":2089,"displayName":2091,"givenName":28,"familyName":28},"2f9dce2e-3b3a-42a3-8a02-8bf459b32539",[927],[2083],{"id":1974,"sortIndex":32,"affiliation":2084,"properties":28},{"id":1974,"createTime":28,"updateTime":28,"relativeEntities":2085,"slug":28,"properties":2086,"entityType":28,"verifyStatus":28,"verifyTime":28,"verifyNote":28,"languages":28,"translateLanguages":28,"viewCount":28,"url":28,"parentIds":2088,"statistic":28},[],{"title":2087},{"VI":1979},[],{"title":2090},{"VI":2091},"D. Eccles",{"id":2093,"sortIndex":357,"researcher":28,"roles":2094,"affiliations":2095,"properties":2104,"displayName":2106,"givenName":28,"familyName":28},"ccbfeba2-a52d-4a5c-86a4-759c93ca4881",[927],[2096],{"id":2097,"sortIndex":32,"affiliation":2098,"properties":28},"cb76edc9-7331-4317-8abb-d5543b526b52",{"id":2097,"createTime":28,"updateTime":28,"relativeEntities":2099,"slug":28,"properties":2100,"entityType":28,"verifyStatus":28,"verifyTime":28,"verifyNote":28,"languages":28,"translateLanguages":28,"viewCount":28,"url":28,"parentIds":2103,"statistic":28},[],{"title":2101},{"VI":2102},"School of Biological Sciences, Victoria University of Wellington, Wellington, New Zealand",[],{"title":2105},{"VI":2106},"G. K. Chambers",{"id":2108,"sortIndex":145,"researcher":28,"roles":2109,"affiliations":2110,"properties":2119,"displayName":2121,"givenName":28,"familyName":28},"20240104-ed4d-47cd-8466-115613a6f5a9",[927],[2111],{"id":2112,"sortIndex":32,"affiliation":2113,"properties":28},"276da54e-c8a1-4d06-a50f-dd51d6da518e",{"id":2112,"createTime":28,"updateTime":28,"relativeEntities":2114,"slug":28,"properties":2115,"entityType":28,"verifyStatus":28,"verifyTime":28,"verifyNote":28,"languages":28,"translateLanguages":28,"viewCount":28,"url":28,"parentIds":2118,"statistic":28},[],{"title":2116},{"VI":2117},"South Texas Diabetes and Obesity Institute, University of Texas Rio Grande Valley School of Medicine, Brownsville, USA",[],{"title":2120},{"VI":2121},"J. Blangero",{"id":2123,"sortIndex":205,"researcher":28,"roles":2124,"affiliations":2125,"properties":2132,"displayName":2134,"givenName":28,"familyName":28},"52aa6e22-0837-4617-9af5-f4e1d31d44e6",[927],[2126],{"id":1974,"sortIndex":32,"affiliation":2127,"properties":28},{"id":1974,"createTime":28,"updateTime":28,"relativeEntities":2128,"slug":28,"properties":2129,"entityType":28,"verifyStatus":28,"verifyTime":28,"verifyNote":28,"languages":28,"translateLanguages":28,"viewCount":28,"url":28,"parentIds":2131,"statistic":28},[],{"title":2130},{"VI":1979},[],{"title":2133},{"VI":2134},"L. R. Griffiths",{"url":1967,"publisher":2136,"properties":2155},{"id":868,"createTime":869,"updateTime":870,"relativeEntities":2137,"slug":872,"properties":2138,"entityType":25,"verifyStatus":880,"verifyTime":28,"verifyNote":28,"languages":28,"translateLanguages":28,"viewCount":32,"subjectFields":2141,"manageAffiliations":2142,"indexDatabases":2143,"url":28,"thumbnailPath":28,"statistic":2150,"gsStatistic":28,"type":55,"analyzePriority":28},[],{"issn":2139,"title":2140},{"VOID":875},{"EN":877},[],[],[2144],{"id":885,"indexDatabase":2145,"url":891,"indexYears":892,"academicFieldIds":28,"indexDatabaseRanking":893},{"id":792,"createTime":28,"updateTime":28,"relativeEntities":2146,"label":2147,"description":2148,"key":798,"publicationTags":2149,"standard":28},[],{"EN":795,"VI":795},{"EN":795,"VI":797},[800],{"impactFactor":32,"impactFactorByYear":2151,"i10Index":32,"i10IndexLast5Year":32,"totalPublication":896,"totalPublicationByYear":2152,"totalCitation":32,"totalCitationByYear":2153,"totalCitationPerPublication":32,"totalCitationPerPublicationByYear":2154,"hindexLast5Year":32,"hindex":32},{},{"2000":123,"2001":357,"2002":145,"2003":158,"2004":199,"2005":898,"2006":133,"2007":206,"2008":353,"2009":149,"2010":151,"2011":689,"2012":157,"2013":207,"2014":358,"2015":566,"2016":358,"2017":157,"2018":207,"2019":50,"2020":826},{},{},{"pages":2156,"volume":2158},{"VOID":2157},"1-15",{"VOID":2159},"16","2015-12-02",2015,[893],{"id":2164,"createTime":2165,"updateTime":2166,"relativeEntities":2167,"slug":2168,"properties":2169,"entityType":920,"verifyStatus":26,"verifyTime":2166,"verifyNote":921,"languages":28,"translateLanguages":28,"viewCount":32,"primaryUrl":2178,"fullTextUrl":28,"authors":2179,"publicationType":953,"publisherRelationship":2310,"citationCount":28,"citationInfo":28,"publishDate":2335,"publishYear":2336,"citationAnalyzeStatus":880,"lastCitationAnalyze":28,"indexDatabases":2337,"openAccess":28,"references":28,"isForceReanalyzing":982},"01c60c1d-6935-4cb3-8ef8-d1fdcfb1022a","2024-01-17T14:00:09.111+00:00","2024-12-25T00:40:16.944+00:00",[],"Functional-characterization-of-Gh-A08G1120-GH3-5-gene-reveal-their-significant-role-in-enhancing-drought-and-salt-stress-tolerance-in-cotton",{"abstract":2170,"title":2172,"references":2174,"doi":2176},{"EN":2171},"Auxins play an important role in plant growth and development; the auxins responsive gene; auxin\u002Findole-3-acetic acid (Aux\u002FIAA), small auxin-up RNAs (SAUR) and Gretchen Hagen3 (GH3) control their mechanisms. The GH3 genes function in homeostasis by the catalytic activities in auxin conjugation and bounding free indole-3-acetic acid (IAA) to amino acids. In our study, we identified the GH3 genes in three cotton species; Gossypium hirsutum, Gossypium arboreum and Gossypium raimondii, analyzed their chromosomal distribution, phylogenetic relationships, cis-regulatory element function and performed virus induced gene silencing of the novel Gh_A08G1120 (GH3.5) gene. The phylogenetic tree showed four clusters of genes with clade 1, 3 and 4 having mainly members of the GH3 of the cotton species while clade 2 was mainly members belonging to Arabidopsis. There were no paralogous genes, and few orthologous genes were observed between Gossypium and other species. All the GO terms were detected, but only 14 genes were found to have described GO terms in upland cotton, more biological functions were detected, as compared to the other functions. The GH3.17 subfamily harbored the highest number of the cis-regulatory elements, most having promoters towards dehydration-responsiveness. The RNA expression analysis revealed that 10 and 8 genes in drought and salinity stress conditions respectively were upregulated in G. hirsutum. All the genes that were upregulated in plants under salt stress conditions were also upregulated in drought stress; moreover, Gh_A08G1120 (GH3.5) exhibited a significant upregulation across the two stress factors. Functional characterization of Gh_A08G1120 (GH3.5) through virus-induced gene silencing (VIGS) revealed that the VIGS plants ability to tolerate drought and salt stresses was significantly reduced compared to the wild types. The chlorophyll content, relative leaf water content (RLWC), and superoxide dismutase (SOD) concentration level were reduced significantly while malondialdehyde concentration and ion leakage as a measure of cell membrane stability (CMS) increased in VIGS plants under drought and salt stress conditions. This study revealed the significance of the GH3 genes in enabling the plant’s adaptation to drought and salt stress conditions as evidenced by the VIGS results and RT-qPCR analysis.",{"EN":2173},"Functional characterization of Gh_A08G1120 (GH3.5) gene reveal their significant role in enhancing drought and salt stress tolerance in cotton",{"VOID":2175},"Zhao X, & Tisdell C. The Sustainability of Cotton Production in China and in Australia: Comparative Economic and Environmental Issues,\" Economics, Ecology, and Environment Working Papers55338, University of Queensland, School of Economics. 2009. ISSN 1327–8231.\nArriaza M, Rodriguez Ocana A, Ruiz Aviles P. 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J Biol Chem. 2011;286:4809–18.",{"VOID":2177},"10.1186\u002Fs12863-019-0756-6","https:\u002F\u002Fbmcgenomdata.biomedcentral.com\u002Farticles\u002F10.1186\u002Fs12863-019-0756-6",[2180,2195,2217,2230,2243,2256,2269,2284,2297],{"id":2181,"sortIndex":32,"researcher":28,"roles":2182,"affiliations":2183,"properties":2192,"displayName":2194,"givenName":28,"familyName":28},"09f6ce06-af44-4edb-8afd-c1016367ee3d",[927],[2184],{"id":2185,"sortIndex":32,"affiliation":2186,"properties":28},"d2c4fca9-76cd-4816-b36d-761fb90dab30",{"id":2185,"createTime":28,"updateTime":28,"relativeEntities":2187,"slug":28,"properties":2188,"entityType":28,"verifyStatus":28,"verifyTime":28,"verifyNote":28,"languages":28,"translateLanguages":28,"viewCount":28,"url":28,"parentIds":2191,"statistic":28},[],{"title":2189},{"VI":2190},"State Key Laboratory of Cotton Biology\u002FInstitute of Cotton Research, Chinese Academy of 15 Agricultural Sciences (ICR, CAAS), Anyang, China",[],{"title":2193},{"VI":2194},"Joy Nyangasi Kirungu",{"id":2196,"sortIndex":40,"researcher":28,"roles":2197,"affiliations":2198,"properties":2214,"displayName":2216,"givenName":28,"familyName":28},"03a81de8-e2b3-4a3d-b426-6320a1fb28c9",[927],[2199,2205],{"id":2185,"sortIndex":32,"affiliation":2200,"properties":28},{"id":2185,"createTime":28,"updateTime":28,"relativeEntities":2201,"slug":28,"properties":2202,"entityType":28,"verifyStatus":28,"verifyTime":28,"verifyNote":28,"languages":28,"translateLanguages":28,"viewCount":28,"url":28,"parentIds":2204,"statistic":28},[],{"title":2203},{"VI":2190},[],{"id":2206,"sortIndex":40,"affiliation":2207,"properties":2213},"fc6719bc-6481-4f74-91b5-bba32f08f0bf",{"id":2206,"createTime":28,"updateTime":28,"relativeEntities":2208,"slug":28,"properties":2209,"entityType":28,"verifyStatus":28,"verifyTime":28,"verifyNote":28,"languages":28,"translateLanguages":28,"viewCount":28,"url":28,"parentIds":2212,"statistic":28},[],{"title":2210},{"VI":2211},"School of Biological and Physical Sciences (SBPS), Jaramogi Oginga Odinga University of Science and Technology (JOOUST), Bondo, Kenya",[],{},{"title":2215},{"VI":2216},"Richard Odongo Magwanga",{"id":2218,"sortIndex":123,"researcher":28,"roles":2219,"affiliations":2220,"properties":2227,"displayName":2229,"givenName":28,"familyName":28},"33a6d9dd-e37e-4f27-ac5f-399edf6e4bf7",[927],[2221],{"id":2185,"sortIndex":32,"affiliation":2222,"properties":28},{"id":2185,"createTime":28,"updateTime":28,"relativeEntities":2223,"slug":28,"properties":2224,"entityType":28,"verifyStatus":28,"verifyTime":28,"verifyNote":28,"languages":28,"translateLanguages":28,"viewCount":28,"url":28,"parentIds":2226,"statistic":28},[],{"title":2225},{"VI":2190},[],{"title":2228},{"VI":2229},"Pu 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Hum Hered. 2007, 63 (2): 67-84. 10.1159\u002F000099179.\nHahn LW, Ritchie MD, Moore JH: Multifactor dimensionality reduction software for detecting gene-gene and gene-environment interactions. Bioinformatics. 2003, 19 (3): 376-382. 10.1093\u002Fbioinformatics\u002Fbtf869.\nMoore JH, Gilbert JC, Tsai CT, Chiang FT, Holden T, Barney N, White BC: A flexible computational framework for detecting, characterizing, and interpreting statistical patterns of epistasis in genetic studies of human disease susceptibility. J Theor Biol. 2006, 241 (2): 252-261. 10.1016\u002Fj.jtbi.2005.11.036.\nRitchie MD, Hahn LW, Moore JH: Power of multifactor dimensionality reduction for detecting gene-gene interactions in the presence of genotyping error, missing data, phenocopy, and genetic heterogeneity. Genet Epidemiol. 2003, 24 (2): 150-157. 10.1002\u002Fgepi.10218.\nRitchie MD, Hahn LW, Roodi N, Bailey LR, Dupont WD, Parl FF, Moore JH: Multifactor-dimensionality reduction reveals high-order interactions among estrogen-metabolism genes in sporadic breast cancer. Am J Hum Genet. 2001, 69 (1): 138-147. 10.1086\u002F321276.\nBreiman L: Classification and regression trees. 1984, Belmont, CA: Wadsworth International Group\nBureau A, Dupuis J, Falls K, Lunetta KL, Hayward B, Keith TP, Van Eerdewegh P: Identifying SNPs predictive of phenotype using random forests. Genet Epidemiol. 2005, 28 (2): 171-182. 10.1002\u002Fgepi.20041.\nClark LA, Pregibon D: Tree-based models. Statistical Models in S. Edited by: Chambers JM, Hastie TJ. 1992, Pacific Grove, California: Wadsworth and Brooks\u002FCole Advanced Books and Software, 377-419.\nZhang H, Bonney G: Use of classification trees for association studies. Genet Epidemiol. 2000, 19 (4): 323-332. 10.1002\u002F1098-2272(200012)19:4\u003C323::AID-GEPI4>3.0.CO;2-5.\nChen X, Liu CT, Zhang M, Zhang H: A forest-based approach to identifying gene and gene gene interactions. Proc Natl Acad Sci USA. 2007, 104 (49): 19199-19203. 10.1073\u002Fpnas.0709868104.\nLin WY, Schaid DJ: Power comparisons between similarity-based multilocus association methods, logistic regression, and score tests for haplotypes. Genet Epidemiol. 2009, 33 (3): 183-197. 10.1002\u002Fgepi.20364.\nTzeng JY, Devlin B, Wasserman L, Roeder K: On the identification of disease mutations by the analysis of haplotype similarity and goodness of fit. Am J Hum Genet. 2003, 72 (4): 891-902. 10.1086\u002F373881.\nWessel J, Schork NJ: Generalized genomic distance-based regression methodology for multilocus association analysis. 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