Evidence map›Paper›PMID 38956705›Full record

ArticleMicrobiome2024

Quantifying functional redundancy in polysaccharide-degrading prokaryotic communities.

Dan-Dan Li, Jianing Wang, Yiru Jiang, Peng Zhang, Ya Liu, Yue-Zhong Li, Zheng Zhang

Abstract readVideo-Audio Media
In one paragraph

Article in Microbiome, 2024. 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

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

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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

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

7 authors.

Dan-Dan Li *State Key Laboratory of Microbial Technology, Institute of Microbial Technology, Shandong University, Qingdao, 266237, China.
Jianing Wang *State Key Laboratory of Microbial Technology, Institute of Microbial Technology, Shandong University, Qingdao, 266237, China.
Yiru JiangState Key Laboratory of Microbial Technology, Institute of Microbial Technology, Shandong University, Qingdao, 266237, China.
Peng ZhangState Key Laboratory of Microbial Technology, Institute of Microbial Technology, Shandong University, Qingdao, 266237, China.
Ya LiuState Key Laboratory of Microbial Technology, Institute of Microbial Technology, Shandong University, Qingdao, 266237, China.
Yue-Zhong LiState Key Laboratory of Microbial Technology, Institute of Microbial Technology, Shandong University, Qingdao, 266237, China. lilab@sdu.edu.cn.ORCID 0000-0001-8336-6638
Zheng ZhangState Key Laboratory of Microbial Technology, Institute of Microbial Technology, Shandong University, Qingdao, 266237, China. zhangzheng@sdu.edu.cn.ORCID 0000-0001-9971-6006

Funding

China Postdoctoral Science Foundation 2022M711918 and 2021M700084National Key Research and Development Program 2018YFA0900400 and 2018YFA0901704National Natural Science Foundation of China 32201303, 32270073 and 32070030Postdoctoral Innovation Project of Shandong Province SDCX-ZG-20220201 and SDCX-ZG-202203032Science & Technology Fundamental Resources Investigation Program 2022FY101100Science Foundation for Youths of Shandong Province ZR2022QC229 and ZR2022QC001Sino-German (CSC-DAAD) Postdoc Scholarship Program 57575640
6 · The paper itself

Abstract

backgroundFunctional redundancy (FR) is widely present, but there is no consensus on its formation process and influencing factors. Taxonomically distinct microorganisms possessing genes for the same function in a community lead to within-community FR, and distinct assemblies of microorganisms in different communities playing the same functional roles are termed between-community FR. We proposed two formulas to respectively quantify the degree of functional redundancy within and between communities and analyzed the FR degrees of carbohydrate degradation functions in global environment samples using the genetic information of glycoside hydrolases (GHs) encoded by prokaryotes.

resultsOur results revealed that GHs are each encoded by multiple taxonomically distinct prokaryotes within a community, and the enzyme-encoding prokaryotes are further distinct between almost any community pairs. The within- and between-FR degrees are primarily affected by the alpha and beta community diversities, respectively, and are also affected by environmental factors (e.g., pH, temperature, and salinity). The FR degree of the prokaryotic community is determined by deterministic factors.

conclusionsWe conclude that the functional redundancy of GHs is a stabilized community characteristic. This study helps to determine the FR formation process and influencing factors and provides new insights into the relationships between prokaryotic community biodiversity and ecosystem functions. Video Abstract.

Indexed as

BacteriaBiodiversityGlycoside HydrolasesPolysaccharidesEcosystemHydrogen-Ion ConcentrationMicrobiotaPhylogenyProkaryotic CellsGlycoside HydrolasesPolysaccharidesBetween-communityCommunity diversityFunctional redundancyGlycoside hydrolaseProkaryotic communitiesQuantificationWithin-community

Identifiers

PMID38956705
PMCPMC11218364

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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.