Evidence map›Paper›PMID 28821820›Full record

ArticleScientific reports2017

Searching for signatures across microbial communities: Metagenomic analysis of soil samples from mangrove and other ecosystems.

Madangchanok Imchen, Ranjith Kumavath, Debmalya Barh, Vasco Azevedo, Preetam Ghosh, Marcus Viana, Alice R Wattam

Erratum issuedAbstract read
In one paragraph

Article in Scientific reports, 2017. 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 32 papers.

0numbers the graph read from it
0cells of the map it votes in
32citing 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

32 citing papers in PubMed.

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  14. Bacterial diversity in the aquatic system in India based on metagenome analysis-a critical review.Environmental science and pollution research international · 2023
    Review
  15. Article
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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

7 authors.

Madangchanok ImchenDepartment of Genomic Science, School of Biological Sciences, Central University of Kerala, Periye, Padanakkad P.O, Kasaragod, Kerala, 671314, India.
Ranjith KumavathDepartment of Genomic Science, School of Biological Sciences, Central University of Kerala, Periye, Padanakkad P.O, Kasaragod, Kerala, 671314, India. rnkumavath@gmail.com.ORCID 0000-0002-0751-5491
Debmalya BarhCentre for Genomics and Applied Gene Technology, Institute of Integrative Omics and Applied Biotechnology, Nonakuri, Purba Medinipur, West Bengal, 721172, India.
Vasco AzevedoLaboratório de Genética Celular e Molecular, Departamento de Biologia Geral, Instituto de Ciências Biológicas (ICB), Universidade Federal de Minas Gerais, Pampulha, Belo Horizonte, Minas Gerais, Brazil.
Preetam GhoshDepartment of Computer Science, Virginia Commonwealth University, Richmond, Virginia, 23284, USA.ORCID 0000-0003-3880-5886
Marcus VianaLaboratório de Genética Celular e Molecular, Departamento de Biologia Geral, Instituto de Ciências Biológicas (ICB), Universidade Federal de Minas Gerais, Pampulha, Belo Horizonte, Minas Gerais, Brazil.
Alice R WattamBiocomplexity Institute, Virginia Tech University, Blacksburg, Virginia, 24061, USA. rwattam@vt.edu.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

In this study, we categorize the microbial community in mangrove sediment samples from four different locations within a vast mangrove system in Kerala, India. We compared this data to other samples taken from the other known mangrove data, a tropical rainforest, and ocean sediment. An examination of the microbial communities from a large mangrove forest that stretches across southwestern India showed strong similarities across the higher taxonomic levels. When ocean sediment and a single isolate from a tropical rain forest were included in the analysis, a strong pattern emerged with Bacteria from the phylum Proteobacteria being the prominent taxon among the forest samples. The ocean samples were predominantly Archaea, with Euryarchaeota as the dominant phylum. Principal component and functional analyses grouped the samples isolated from forests, including those from disparate mangrove forests and the tropical rain forest, from the ocean. Our findings show similar patterns in samples were isolated from forests, and these were distinct from the ocean sediment isolates. The taxonomic structure was maintained to the level of class, and functional analysis of the genes present also displayed these similarities. Our report for the first time shows the richness of microbial diversity in the Kerala coast and its differences with tropical rain forest and ocean microbiome.

Identifiers

PMID28821820
PMCPMC5562921

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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.