Determinism of bacterial metacommunity dynamics in the southern East China Sea varies depending on hydrography

Ecography - Tập 38 Số 2 - Trang 198-212 - 2015
Yi‐Chun Yeh1, Pedro R. Peres‐Neto2, Shiao‐Wei Huang3, Yung‐Chih Lai3, Chen‐Yi Tu1, Fuh‐Kwo Shiah4,5,6, Gwo‐Ching Gong7,4,8, Chih‐hao Hsieh9,5
1Institute of Oceanography, National Taiwan University, Taipei 10617, Taiwan
2Canada Research Chair in Spatial Modelling and Biodiversity and Dept of Biological Sciences Univ. of Quebec at Montreal Montreal QC H3C3P8 Canada
3Department of Life Science, National Taiwan University, Taipei 10617, Taiwan
4Inst. of Marine Environmental Chemistry and Ecology, National Taiwan Ocean Univ. Keelung 20224 Taiwan
5Inst. of Oceanography, National Taiwan Univ.; Taipei 10617 Taiwan
6Research Center for Environmental Changes, Academia Sinica, Taipei 115, Taiwan
7Center of Excellence for the Oceans, National Taiwan Ocean Univ. Keelung 20224 Taiwan
8Taiwan Ocean Research Inst., National Applied Research Laboratories Kaoshiung 852 Taiwan
9Inst. of Ecology and Evolutionary Biology, National Taiwan Univ. Taipei 10617 Taiwan

Tóm tắt

Spatial variation of communities composition (metacommunities) results from multiple assembly mechanisms, including environmental filtering and dispersal; however, whether and why the relative importance of the assembly mechanisms in shaping bacterial metacommunity changes through time in marine pelagic systems remains poorly studied. Here, we applied the elements of metacommunity structure framework and the variation partitioning framework to examine whether temporal variation of hydrographic conditions influences bacterioplankton metacommunity dynamics in the southern East China Sea (ECS). The spatiotemporal variation of bacterial communities composition was revealed using 454 pyrosequencing of 16S rDNA. In addition to the whole bacterial community, we analyzed four dominant taxonomic groups (Cyanobacteria, Alphaproteobacteria, Gammaproteobacteria, and Actinobacteria) separately. Our analyses indicate that, considering the whole community level, the determinism of metacommunity structure varied among seasons. When the degree of connectivity was low (December), the metacommunity exhibited random distribution and was explained mainly by the environmental component. However, Clementsian metacommunity was found at intermediate connectivity (May), during which the environmental and spatial predictors were both significant. When connectivity was high (August), a random distribution pattern was found and no significant effect of environmental filtering or dispersal limitation was detected. Nevertheless, when considering different taxonomic groups, the differences in metacommunity dynamics among groups were found. Our results suggest that the driving forces of metacommunity dynamics varied depending on hydrography, as the degrees of environmental heterogeneity and connectivity among habitat patches were determined by circulation pattern. Moreover, mechanisms varied among different taxonomic groups, suggesting that differential dispersal capacity among taxonomic groups should be integrated into community assembly studies.

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Tài liệu tham khảo

10.1111/j.1365-294X.2010.04932.x

10.1038/ismej.2009.108

Baas Becking L. G. M., 1934, Geobiologie of inleiding tot de milieukunde

10.1890/0012-9658(2006)87[2985:TROEAS]2.0.CO;2

10.1038/nature03891

10.1111/j.1461-0248.2012.01794.x

10.2307/1940179

10.1128/AEM.71.10.5665-5677.2005

10.1093/bioinformatics/btp636

10.1038/nmeth.f.303

10.3354/ame01389

10.1111/j.1461-0248.2012.01776.x

10.1038/ismej.2013.122

10.1111/j.1461-0248.2005.00820.x

10.1890/06-0387

10.1111/j.0030-1299.2004.12524.x

10.4319/lo.1993.38.5.0924

10.1111/j.1365-2427.2010.02473.x

10.1016/j.ecolmodel.2006.02.015

10.1093/bioinformatics/btq461

10.1038/ismej.2011.113

10.1111/j.1600-0587.2013.00527.x

10.1890/05-1839

10.1073/pnas.0602399103

10.1038/ismej.2009.134

10.1073/pnas.1217767110

10.1038/ismej.2011.107

10.1016/0278-4343(96)00005-2

10.1016/S0278-4343(99)00079-5

10.1016/S0967-0645(03)00019-5

10.1890/0012-9658(2006)87[2603:SMIETF]2.0.CO;2

10.1038/nmeth.1184

10.1038/nrmicro2795

10.1038/ismej.2012.79

10.1890/12-2125.1

10.1890/12-0683.1

10.1890/09-1004.1

10.1186/gb-2007-8-7-r143

10.1007/s10980-009-9442-9

10.1128/AEM.01304-08

10.1111/j.1574-6941.2012.01387.x

10.1890/06-2098.1

10.1038/ismej.2010.207

10.1038/ismej.2011.177

10.1016/S0967-0645(03)00010-9

10.1111/1574-6941.12161

10.1128/AEM.53.6.1298-1303.1987

10.1093/jpe/rtm001

10.1890/0012-9615(1999)069[0001:DBRATM]2.0.CO;2

10.1034/j.1600-0706.2002.970210.x

10.1111/j.1461-0248.2004.00608.x

10.1111/j.1758-2229.2011.00257.x

10.4319/lo.2006.51.1.0339

10.1038/ismej.2009.156

10.1016/j.tree.2011.04.009

10.1128/AEM.71.12.8228-8235.2005

10.1073/pnas.1016308108

10.3354/ame042119

10.1890/0012-9658(2001)082[0290:FMMTCD]2.0.CO;2

10.1111/jbi.12116

10.1111/j.1600-0706.2013.00377.x

10.1111/j.1462-2920.2012.02738.x

10.1073/pnas.1000604107

10.1016/j.femsec.2004.03.013

10.1890/0012-9658(2006)87[2614:VPOSDM]2.0.CO;2

10.1038/nrmicro2367

10.1111/j.1600-0706.2010.18544.x

10.1093/molbev/msp077

10.1128/AEM.70.4.2445-2451.2004

10.1073/pnas.0605127103

10.1016/S0958-1669(97)80014-6

10.1126/science.139.3555.572

10.1128/AEM.02952-10

10.1073/pnas.0707200104

10.1111/j.1461-0248.2011.01728.x

10.1128/AEM.00062-07

10.1146/annurev.ecolsys.33.010802.150448

10.1038/ncomms3457

10.1016/j.tree.2012.01.007

10.1038/ismej.2013.56

10.1128/AEM.71.11.6799-6807.2005

10.1128/AEM.02226-12

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Thông tin xuất bản

Ecography

Tập 38 Số 2

198-212

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