10.5061/DRYAD.S8C2C
Zhang, Yao
Xiamen University
Zhao, Zihao
Xiamen University
Dai, Minhan
Xiamen University
Jiao, Nianzhi
Xiamen University
Herndl, Gerhard J.
Royal Netherlands Institute for Sea Research
University of Vienna
Data from: Drivers shaping the diversity and biogeography of total and
active bacterial communities in the South China Sea
Dryad
dataset
2014
Environmental selection
Active versus total bacterial communities
Network interaction
Geographic distance
2014-03-27T15:57:36Z
2014-03-27T15:57:36Z
en
https://doi.org/10.1111/mec.12739
49366169 bytes
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CC0 1.0 Universal (CC0 1.0) Public Domain Dedication
To test the hypothesis that different drivers shape the diversity and
biogeography of the total and active bacterial community, we examined the
bacterial community composition along two transects, one from the inner
Pearl River estuary to the open waters of the South China Sea (SCS) and
the other from the Luzon Strait to the SCS basin, using 454 pyrosequencing
of the 16S rRNA and 16S rRNA gene (V1-3 regions) and thereby,
characterizing the active and total bacterial community, respectively. The
diversity and biogeographic patterns differed substantially between the
active and total bacterial communities. Although the composition of both,
the total and active bacterial community was strongly correlated with
environmental factors and weakly correlated with geographic distance, the
active bacterial community displayed higher environmental sensitivity than
the total community and particularly, a greater distance effect largely
caused by the active assemblage from deep waters. The 16S rRNA versus rDNA
relationships indicated that the active bacteria were low in relative
abundance in the SCS. This might be due to a high competition between
active bacterial taxa as indicated by our community network models. Based
on these analyses, we speculate that high competition could cause some
dispersal limitation of the active bacterial community resulting in a
distinct distance-decay relationship. Altogether, our results indicated
that the biogeographic distribution of bacteria in the SCS is the result
of both environmental control and distance-decay.
Environmental dataMID#-SampleMID numbers corresponding to the samples.
These MID numbers were used in the analysis input files.R input filesR
input files for Mantel and Partial Mantel testsCANOCO input filesCANOCO
input files for community CCA analysisGENE-E input filesGENE-E input files
for heatmapsNetwork input filesNetwork input files for network analysisOTU
tablesThe OTU tables produced from MOTHURMOTHUR input filesMOTHUR input
files for DNA and RNA sequences analysis