Evidence map›Paper›PMID 34576734›Full record

ArticleMicroorganisms2021

NetCom: A Network-Based Tool for Predicting Metabolic Activities of Microbial Communities Based on Interpretation of Metagenomics Data.

Ofir Tal, Rotem Bartuv, Maria Vetcos, Shlomit Medina, Jiandong Jiang, Shiri Freilich

Abstract read
In one paragraph

Article in Microorganisms, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

5 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

6 authors.

Ofir TalNewe Ya'ar Research Center, Institute of Plant Sciences, The Agricultural Research Organization, Ramat Yishay 30095, Israel.
Rotem BartuvNewe Ya'ar Research Center, Institute of Plant Sciences, The Agricultural Research Organization, Ramat Yishay 30095, Israel.
Maria VetcosNewe Ya'ar Research Center, Institute of Plant Sciences, The Agricultural Research Organization, Ramat Yishay 30095, Israel.
Shlomit MedinaNewe Ya'ar Research Center, Institute of Plant Sciences, The Agricultural Research Organization, Ramat Yishay 30095, Israel.
Jiandong JiangDepartment of Microbiology, College of Life Sciences, Nanjing Agricultural University, Nanjing 210095, China.
Shiri FreilichNewe Ya'ar Research Center, Institute of Plant Sciences, The Agricultural Research Organization, Ramat Yishay 30095, Israel.ORCID 0000-0002-5173-9695

Funding

Israel Science Foundation NSFC-ISF joint program (4181101565), Israel Science Foundation Grant no. 3164/19United States - Israel Binational Agricultural Research and Development Fund US-5046-17R
6 · The paper itself

Abstract

The study of microbial activity can be viewed as a triangle with three sides: environment (dominant resources in a specific habitat), community (species dictating a repertoire of metabolic conversions) and function (production and/or utilization of resources and compounds). Advances in metagenomics enable a high-resolution description of complex microbial communities in their natural environments and support a systematic study of environment-community-function associations. NetCom is a web-tool for predicting metabolic activities of microbial communities based on network-based interpretation of assembled and annotated metagenomics data. The algorithm takes as an input, lists of differentially abundant enzymatic reactions and generates the following outputs: (i) pathway associations of differently abundant enzymes; (ii) prediction of environmental resources that are unique to each treatment, and their pathway associations; (iii) prediction of compounds that are produced by the microbial community, and pathway association of compounds that are treatment-specific; (iv) network visualization of enzymes, environmental resources and produced compounds, that are treatment specific (2 and 3D). The tool is demonstrated on metagenomic data from rhizosphere and bulk soil samples. By predicting root-specific activities, we illustrate the relevance of our framework for forecasting the impact of soil amendments on the corresponding microbial communities. NetCom is available online.

Indexed as

metabolic networksmetagenomicsmicrobial communities

Identifiers

PMID34576734
PMCPMC8468097

What OpenQuestion holds

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LicenceCC BY
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Registered trials

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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.