Evidence map›Paper›PMID 37512841›Full record

ArticleMicroorganisms2023

Metagenomic Analyses Reveal the Influence of Depth Layers on Marine Biodiversity on Tropical and Subtropical Regions.

Bianca C F Santiago, Iara D de Souza, João Vitor F Cavalcante, Diego A A Morais, Mikaelly B da Silva, Matheus Augusto de B Pasquali, Rodrigo J S Dalmolin

Abstract read
In one paragraph

Article in Microorganisms, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Article
  2. Review
  3. Article
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.

Bianca C F SantiagoBioinformatics Multidisciplinary Environment-IMD, Federal University of Rio Grande do Norte, Natal 59078-400, Brazil.ORCID 0000-0002-8037-6264
Iara D de SouzaBioinformatics Multidisciplinary Environment-IMD, Federal University of Rio Grande do Norte, Natal 59078-400, Brazil.ORCID 0000-0002-2550-6150
João Vitor F CavalcanteBioinformatics Multidisciplinary Environment-IMD, Federal University of Rio Grande do Norte, Natal 59078-400, Brazil.ORCID 0000-0001-7513-7376
Diego A A MoraisBioinformatics Multidisciplinary Environment-IMD, Federal University of Rio Grande do Norte, Natal 59078-400, Brazil.ORCID 0000-0002-7357-3446
Mikaelly B da SilvaFood Engineering Department, Federal University of Campina Grande, Campina Grande 58401-490, Brazil.ORCID 0000-0001-7215-3397
Matheus Augusto de B PasqualiFood Engineering Department, Federal University of Campina Grande, Campina Grande 58401-490, Brazil.ORCID 0000-0001-8077-6818
Rodrigo J S DalmolinBioinformatics Multidisciplinary Environment-IMD, Federal University of Rio Grande do Norte, Natal 59078-400, Brazil.ORCID 0000-0002-1688-6155

Funding

APC - UFCG xxxCoordenação de Aperfeicoamento de Pessoal de Nível Superior xxxNational Council for Scientific and Technological Development 302949/2020-8National Council for Scientific and Technological Development 312305/2021-4Propesq UFRN xxxx
6 · The paper itself

Abstract

The emergence of open ocean global-scale studies provided important information about the genomics of oceanic microbial communities. Metagenomic analyses shed light on the structure of marine habitats, unraveling the biodiversity of different water masses. Many biological and environmental factors can contribute to marine organism composition, such as depth. However, much remains unknown about microbial communities' taxonomic and functional features in different water layer depths. Here, we performed a metagenomic analysis of 76 publicly available samples from the Tara Ocean Project, distributed in 8 collection stations located in tropical or subtropical regions, and sampled from three layers of depth (surface water layer-SRF, deep chlorophyll maximum layer-DCM, and mesopelagic zone-MES). The SRF and DCM depth layers are similar in abundance and diversity, while the MES layer presents greater diversity than the other layers. Diversity clustering analysis shows differences regarding the taxonomic content of samples. At the domain level, bacteria prevail in most samples, and the MES layer presents the highest proportion of archaea among all samples. Taken together, our results indicate that the depth layer influences microbial sample composition and diversity.

Indexed as

depth layersmarine biodiversitymetagenome analysispelagic zones

Identifiers

PMID37512841
PMCPMC10386303

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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.