Published June 10, 2022 | Version v1
Dataset Open

Regional and local environment drive biogeographic patterns in intertidal microorganisms

Authors/Creators

  • 1. East China Normal University

Description

Aim: Understanding large-scale spatial distribution patterns is not only a central goal of ecology but is also essential for conservation planning. Nevertheless, the biogeographical patterns of diversity and composition remain unclear for microorganisms and the role of various factors in structuring their assemblages is still poorly known. Here, we tested whether the diversity and community structure of ciliates are driven by both local environmental and regional dispersal-related processes.

Location: Coasts of China.

Taxon: Benthic ciliates.

Results: We found that local environmental factors including BI, salinity and MPS were more important in shaping ciliate alpha diversity than latitude. However, the Shannon alpha diversity index decreased with latitude, perhaps due to anthropogenic disturbances. DistLM analysis emphasized regional processes in shaping community structure. Both NMDS and PERMANOVA supported a clear separation among the three clusters matching with the ecoregional delineations suggested for macroorganisms. We also note that community trait composition was partially explained by a local factor, i.e. the maximum spring tide range of beaches.

Main conclusions: Ciliate communities were driven by both local environmental and regional factors. We suggest that these biogeographic patterns may have stemmed from large-scale environmental filtering related to the outflow of Yangtze River, rather than from dispersal limitation or historical events. The current study provides a new understanding of the biogeographic patterns and underlying mechanisms of marine microorganisms, thus helping improve their management and conservation in the face of future global change.

Notes

Funding provided by: National Natural Science Foundation of China
Crossref Funder Registry ID: http://dx.doi.org/10.13039/501100001809
Award Number: 42076103

Funding provided by: National Key Research and Development Program of China
Crossref Funder Registry ID: http://dx.doi.org/10.13039/501100012166
Award Number: 2016YFE0133700

Funding provided by: National Key Research and Development Program of China
Crossref Funder Registry ID: http://dx.doi.org/10.13039/501100012166
Award Number: 2017YFC0506001

Files

env.csv

Files (20.2 kB)

Name Size Download all
md5:46b9ca3c4578cc807b190b2e47853346
5.9 kB Preview Download
md5:2eab38dd72da95bc3fc87d028685aef1
4.6 kB Preview Download
md5:adb1a5074e104cdd198991e9d76aaef7
829 Bytes Preview Download
md5:3d8a5027be50e1468026919cac8672a7
8.8 kB Preview Download