Seasonal and ontogenetic variation of skin microbial communities and relationships to natural disease dynamics in declining amphibians

Royal Society Open Science - Tập 2 Số 7 - Trang 140377 - 2015
Ana V. Longo1, Anna E. Savage2,1, Ian Hewson3, Kelly R. Zamudio1
1Department of Ecology and Evolutionary Biology, Cornell University, Ithaca NY 14853 USA
2Department of Biology, University of Central Florida, Orlando, FL 32816, USA
3Department of Microbiology, Cornell University, Ithaca, NY 14853, USA

Tóm tắt

Recently, microbiologists have focused on characterizing the probiotic role of skin bacteria for amphibians threatened by the fungal disease chytridiomycosis. However, the specific characteristics of microbial diversity required to maintain health or trigger disease are still not well understood in natural populations. We hypothesized that seasonal and developmental transitions affecting susceptibility to chytridiomycosis could also alter the stability of microbial assemblages. To test our hypothesis, we examined patterns of skin bacterial diversity in two species of declining amphibians ( Lithobates yavapaiensis and Eleutherodactylus coqui ) affected by the pathogenic fungus Batrachochytrium dendrobatidis ( Bd ). We focused on two important transitions that affect Bd susceptibility: ontogenetic (from juvenile to adult) shifts in E. coqui and seasonal (from summer to winter) shifts in  L. yavapaiensis . We used a combination of community-fingerprinting analyses and 16S rRNA amplicon sequencing to quantify changes in bacterial diversity and assemblage composition between seasons and developmental stages, and to investigate the relationship between bacterial diversity and pathogen load. We found that winter-sampled frogs and juveniles, two states associated with increased Bd susceptibility, exhibited higher diversity compared with summer-sampled frogs and adult individuals. Our findings also revealed that hosts harbouring higher bacterial diversity carried lower Bd infections, providing support for the protective role of bacterial communities. Ongoing work to understand skin microbiome resilience after pathogen disturbance has the potential to identify key taxa involved in disease resistance.

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Tài liệu tham khảo

Hooper LV, 2010, Immune adaptations that maintain homeostasis with the intestinal microbiota, Nat. Rev. Microbiol., 10, 159

10.1073/pnas.0712038105

10.1038/nrmicro2974

10.1038/nrmicro2989

10.1371/journal.pone.0009085

10.1038/nature07540

10.1890/060122

Duellman WE, 1986, Biology of amphibians

10.1073/pnas.0506889103

10.1073/pnas.0914111107

10.1098/rspb.2006.3713

10.1073/pnas.95.15.9031

10.1073/pnas.1106893108

10.1016/S0145-305X(99)00028-2

10.1111/j.1469-1795.2007.00150.x

10.3354/dao055065

10.1098/rspb.2009.1656

10.1038/ismej.2009.27

10.1371/journal.pone.0010957

10.1073/pnas.1412752111

10.1098/rspb.2014.2881

10.1016/j.biocon.2011.03.018

10.7589/2012-05-129

10.1371/journal.pone.0044832

10.1007/s10393-005-0009-1

10.1643/0045-8511(2007)2007[630:CCBFTE]2.0.CO;2

10.1016/j.biocon.2007.05.004

10.1890/14-1837.1

10.1111/eva.12264

10.1655/03-50

10.1007/s10393-010-0327-9

10.3354/dao02054

10.1111/j.1365-2435.2006.01159.x

10.7589/2013-10-268

10.1016/j.resmic.2010.01.006

10.1038/ismej.2011.129

10.1111/mec.12510

10.1038/ismej.2014.77

10.3354/dao073175

10.1101/gr.075549.107

10.1016/j.mimet.2008.10.015

10.1016/j.mimet.2012.07.015

10.1186/1471-2180-14-103

10.3354/dao060141

Fisher MM, 1999, Automated approach for ribosomal intergenic spacer analysis of microbial diversity and its application to freshwater bacterial communities, Appl. Environ. Microbiol., 65, 4630, 10.1128/AEM.65.10.4630-4636.1999

10.1128/AEM.70.6.3425-3433.2004

10.1111/j.1462-2920.2006.01214.x

10.1111/1574-6941.12308

Magurran AE, 2010, Biological diversity: frontiers in measurment and assessment

2014, R: a language and environment for statistical computing

Oksanen J et al. 2014 vegan Community Ecology Package. R package v. 2.2–1 . See http://cran.r-project.org/web/packages/vegan/vegan.pdf.

10.1038/ismej.2012.8

10.1073/pnas.1000080107

10.1038/nmeth.f.303

10.1371/journal.pone.0034242

10.1038/ismej.2013.200

10.1007/s003600050072

10.1890/06-1842.1

10.1371/journal.pone.0096375

10.1371/journal.pone.0028444

10.1128/CMR.00034-10

10.1111/j.1600-065X.1998.tb01265.x

10.1093/icb/icr095

10.1111/1758-2229.12092

10.1002/jmor.1052110111

10.1038/nrmicro2537

10.1007/s10393-011-0689-7

10.1038/nrmicro2114

10.1111/j.1365-2567.2005.02159.x

10.1126/science.1176765