Evidence map›Paper›PMID 36510268›Full record

ArticleMicrobiome2022

Microbial active functional modules derived from network analysis and metabolic interactions decipher the complex microbiome assembly in mangrove sediments.

Huan Du, Jie Pan, Dayu Zou, Yuhan Huang, Yang Liu, Meng Li

Erratum issuedAbstract readVideo-Audio Media
In one paragraph

Article in Microbiome, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 21 papers.

0numbers the graph read from it
0cells of the map it votes in
21citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

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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

21 citing papers in PubMed.

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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

6 authors.

Huan DuArchaeal Biology Center, Institute for Advanced Study, Shenzhen University, Shenzhen, 518060, China.
Jie PanArchaeal Biology Center, Institute for Advanced Study, Shenzhen University, Shenzhen, 518060, China.
Dayu ZouArchaeal Biology Center, Institute for Advanced Study, Shenzhen University, Shenzhen, 518060, China.
Yuhan HuangArchaeal Biology Center, Institute for Advanced Study, Shenzhen University, Shenzhen, 518060, China.
Yang LiuArchaeal Biology Center, Institute for Advanced Study, Shenzhen University, Shenzhen, 518060, China. yangliu@szu.edu.cn.
Meng LiArchaeal Biology Center, Institute for Advanced Study, Shenzhen University, Shenzhen, 518060, China. limeng848@szu.edu.cn.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe metabolic interactions of microbes significantly affect the assembly of microbial communities that play important roles in biogeochemical processes. However, most interspecies interactions between microorganisms in natural communities remain unknown, leading to a poor understanding of community assembly mechanisms.

resultsHere, we used a genome-scale metabolic modeling-based approach to explore the potential interactions among bacteria and archaea in mangrove sediments. More than half of the assembled microbial species ([Formula: see text]) combined about 3000 pairwise metabolic interaction relationship with high potential. The examples of predicted interactions are consistent with the implications of studies based on microbial enrichment/culture, indicating the feasibility of our strategy for extracting diverse potential interactions from complex interspecies networks. Moreover, a substantial number of previously unknown microbial metabolic interactions were also predicted. We proposed a concept of microbial active functional module (mAFM), defined as a consortium constituted by a group of microbes possessing relatively high metabolic interactions via which they can actively realize certain dominant functions in element transformations. Based on the metabolic interactions and the transcript distribution of microorganisms, five mAFMs distributed in different layers of the sediments were identified. The whole group of mAFMs covered most of the principal pathways in the cycle of carbon, nitrogen, and sulfur, while each module possessed divergently dominant functions. According to thinctiis diston, we inferred that the mAFMs participated in the element cycles via their intra-cycle and the inter-exchange among them and the sediments.

conclusionsThe results of this study greatly expanded interaction potential of microbes in mangrove sediments, which could provide supports for prospective mutualistic system construction and microbial enrichment culture. Furthermore, the mAFMs can help to extract valuable microbial metabolic interactions from the whole community and to profile the functioning of the microbial community that promote biogeochemical cycling in mangrove sediments. Video Abstract.

Indexed as

Geologic SedimentsMicrobiotaPhylogenyProspective StudiesRNA, Ribosomal, 16SRNA, Ribosomal, 16S

Identifiers

PMID36510268
PMCPMC9746113

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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.