Evidence map›Paper›PMID 29318328›Full record

ArticleMicrobial ecology2018

Contrasting Network Features between Free-Living and Particle-Attached Bacterial Communities in Taihu Lake.

Huimin Xu, Dayong Zhao, Rui Huang, Xinyi Cao, Jin Zeng, Zhongbo Yu, Katherine V Hooker, K David Hambright, Qinglong L Wu

Abstract read
PubMed Publisher
In one paragraph

Article in Microbial ecology, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.

0numbers the graph read from it
0cells of the map it votes in
15citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

15 citing papers in PubMed.

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  7. Science advances · 2023
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  13. The globalLimnology and oceanography · 2020
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

9 authors.

Huimin XuState Key Laboratory of Hydrology-Water Resources and Hydraulic Engineering, College of Hydrology and Water Resources, Hohai University, Nanjing, 210098, China.
Dayong ZhaoState Key Laboratory of Hydrology-Water Resources and Hydraulic Engineering, College of Hydrology and Water Resources, Hohai University, Nanjing, 210098, China.
Rui HuangState Key Laboratory of Hydrology-Water Resources and Hydraulic Engineering, College of Hydrology and Water Resources, Hohai University, Nanjing, 210098, China.
Xinyi CaoState Key Laboratory of Hydrology-Water Resources and Hydraulic Engineering, College of Hydrology and Water Resources, Hohai University, Nanjing, 210098, China.
Jin ZengState Key Laboratory of Lake Science and Environment, Nanjing Institute of Geography and Limnology, Chinese Academy of Sciences, Nanjing, 210008, China. jzeng@niglas.ac.cn.
Zhongbo YuState Key Laboratory of Hydrology-Water Resources and Hydraulic Engineering, College of Hydrology and Water Resources, Hohai University, Nanjing, 210098, China.
Katherine V HookerProgram in Ecology and Evolutionary Biology, Department of Biology, University of Oklahoma, Norman, OK, 73019, USA.
K David HambrightProgram in Ecology and Evolutionary Biology, Department of Biology, University of Oklahoma, Norman, OK, 73019, USA.
Qinglong L WuState Key Laboratory of Lake Science and Environment, Nanjing Institute of Geography and Limnology, Chinese Academy of Sciences, Nanjing, 210008, China.

Funding

National Key Technology R&D Program 2015BAD13B01National Natural Science Foundation of China 41571108National Natural Science Foundation of China 41671078Natural Science Foundation of Jiangsu Province, China BK20151614US National Science Foundation Graduate Research Fellowship 1650686
6 · The paper itself

Abstract

Free-living (FL) and particle-attached (PA) bacterial communities play critical roles in nutrient cycles, metabolite production, and as a food source in aquatic systems, and while their community composition, diversity, and functions have been well studied, we know little about their community interactions, co-occurrence patterns, and niche occupancy. In the present study, 13 sites in Taihu Lake were selected to study the differences of co-occurrence patterns and niches occupied between the FL and PA bacterial communities using correlation-based network analysis. The results show that both FL and PA bacterial community networks were non-random and significant differences of the network indexes (average path length, clustering coefficient, modularity) were found between the two groups. Furthermore, the PA bacterial community network consisted of more correlations between fewer OTUs, as well as higher average degree, making it more complex. The results of observed (O) to random (R) ratios of intra- or inter-phyla connections indicate more relationships such as cross-feeding, syntrophic, mutualistic, or competitive relationships in the PA bacterial community network. We also found that four OTUs (OTU00074, OTU00755, OTU00079, and OTU00454), which all had important influences on the nutrients cyclings, played different roles in the two networks as connectors or module hubs. Analysis of the relationships between the module eigengenes and environmental variables demonstrated that bacterial groups of the two networks favored quite different environmental conditions. These findings further confirmed the different ecological functions and niches occupied by the FL and PA bacterial communities in the aquatic ecosystem.

Indexed as

BacteriaBacterial Physiological PhenomenaMicrobial InteractionsBiodiversityCluster AnalysisDNA, BacterialEcosystemEnvironmentLakesMicrobiotaPhylogenySpecies SpecificityDNA, BacterialFree-living bacteriaInteractionsNetworkParticle-attached bacteria

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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.