Evidence map›Paper›PMID 34838139›Full record

ArticleEnvironmental microbiome2021

Estuarine gradients dictate spatiotemporal variations of microbiome networks in the Chesapeake Bay.

Hualong Wang, Feng Chen, Chuanlun Zhang, Min Wang, Jinjun Kan

Abstract read
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Article in Environmental microbiome, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 23 papers.

0numbers the graph read from it
0cells of the map it votes in
23citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

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3 · Its place in the literature

Who cites it

23 citing papers in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

5 authors.

Hualong WangCollege of Marine Life Sciences, and Frontiers Science Center for Deep Ocean Multispheres and Earth System, Ocean University of China, Qingdao, China.
Feng ChenInstitute of Marine and Environmental Technology, University of Maryland Center for Environmental Science, Baltimore, MD, USA.
Chuanlun ZhangDepartment of Ocean Science and Engineering, Southern University of Science and Technology, Shenzhen, People's Republic of China.
Min WangCollege of Marine Life Sciences, and Frontiers Science Center for Deep Ocean Multispheres and Earth System, Ocean University of China, Qingdao, China.
Jinjun KanMicrobiology Division, Stroud Water Research Center, Avondale, PA, USA. jkan@stroudcenter.org.ORCID http://orcid.org/0000-0001-5331-380X

Funding

National Natural Science Foundation of China 41530105National Natural Science Foundation of China 91851210National Science Foundation MCB-0132070National Science Foundation MCB-0238515National Science Foundation MCB-0537041Southern Marine Science and Engineering Guangdong Laboratory K19313901Southern University of Science and Technology ZDSYS201802081843490
6 · The paper itself

Abstract

backgroundAnnually reoccurring microbial populations with strong spatial and temporal variations have been identified in estuarine environments, especially in those with long residence time such as the Chesapeake Bay (CB). However, it is unclear how microbial taxa cooccurr and how the inter-taxa networks respond to the strong environmental gradients in the estuaries.

resultsHere, we constructed co-occurrence networks on prokaryotic microbial communities in the CB, which included seasonal samples from seven spatial stations along the salinity gradients for three consecutive years. Our results showed that spatiotemporal variations of planktonic microbiomes promoted differentiations of the characteristics and stability of prokaryotic microbial networks in the CB estuary. Prokaryotic microbial networks exhibited a clear seasonal pattern where microbes were more closely connected during warm season compared to the associations during cold season. In addition, microbial networks were more stable in the lower Bay (ocean side) than those in the upper Bay (freshwater side). Multivariate regression tree (MRT) analysis and piecewise structural equation modeling (SEM) indicated that temperature, salinity and total suspended substances along with nutrient availability, particulate carbon and Chl a, affected the distribution and co-occurrence of microbial groups, such as Actinobacteria, Bacteroidetes, Cyanobacteria, Planctomycetes, Proteobacteria, and Verrucomicrobia. Interestingly, compared to the abundant groups (such as SAR11, Saprospiraceae and Actinomarinaceae), the rare taxa including OM60 (NOR5) clade (Gammaproteobacteria), Micrococcales (Actinobacteria), and NS11-12 marine group (Bacteroidetes) contributed greatly to the stability of microbial co-occurrence in the Bay. Modularity and cluster structures of microbial networks varied spatiotemporally, which provided valuable insights into the 'small world' (a group of more interconnected species), network stability, and habitat partitioning/preferences.

conclusionOur results shed light on how estuarine gradients alter the spatiotemporal variations of prokaryotic microbial networks in the estuarine ecosystem, as well as their adaptability to environmental disturbances and co-occurrence network complexity and stability.

Indexed as

Chesapeake BayCo-occurrenceEstuarine gradientsNetwork stabilityPlanktonic microbiomes

Identifiers

PMID34838139
PMCPMC8627074

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.