Evidence map›Paper›PMID 27420030›Full record

ArticleThe ISME journal2017

Metagenomic covariation along densely sampled environmental gradients in the Red Sea.

Luke R Thompson, Gareth J Williams, Mohamed F Haroon, Ahmed Shibl, Peter Larsen, Joshua Shorenstein, Rob Knight, Ulrich Stingl

Abstract read
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Article in The ISME journal, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 31 papers.

0numbers the graph read from it
0cells of the map it votes in
31citing 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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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

31 citing papers in PubMed.

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  16. Genomes of the "mSystems · 2020
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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

8 authors.

Luke R ThompsonRed Sea Research Center, King Abdullah University of Science and Technology (KAUST), Thuwal, Saudi Arabia.
Gareth J WilliamsCenter for Marine Biodiversity and Conservation, Scripps Institution of Oceanography, La Jolla, CA, USA.
Mohamed F HaroonRed Sea Research Center, King Abdullah University of Science and Technology (KAUST), Thuwal, Saudi Arabia.
Ahmed ShiblRed Sea Research Center, King Abdullah University of Science and Technology (KAUST), Thuwal, Saudi Arabia.
Peter LarsenArgonne National Laboratory, Argonne, IL, USA.
Joshua ShorensteinDepartment of Pediatrics, University of California, San Diego, CA, USA.
Rob KnightDepartment of Pediatrics, University of California, San Diego, CA, USA.
Ulrich StinglRed Sea Research Center, King Abdullah University of Science and Technology (KAUST), Thuwal, Saudi Arabia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Oceanic microbial diversity covaries with physicochemical parameters. Temperature, for example, explains approximately half of global variation in surface taxonomic abundance. It is unknown, however, whether covariation patterns hold over narrower parameter gradients and spatial scales, and extending to mesopelagic depths. We collected and sequenced 45 epipelagic and mesopelagic microbial metagenomes on a meridional transect through the eastern Red Sea. We asked which environmental parameters explain the most variation in relative abundances of taxonomic groups, gene ortholog groups, and pathways-at a spatial scale of <2000 km, along narrow but well-defined latitudinal and depth-dependent gradients. We also asked how microbes are adapted to gradients and extremes in irradiance, temperature, salinity, and nutrients, examining the responses of individual gene ortholog groups to these parameters. Functional and taxonomic metrics were equally well explained (75-79%) by environmental parameters. However, only functional and not taxonomic covariation patterns were conserved when comparing with an intruding water mass with different physicochemical properties. Temperature explained the most variation in each metric, followed by nitrate, chlorophyll, phosphate, and salinity. That nitrate explained more variation than phosphate suggested nitrogen limitation, consistent with low surface N:P ratios. Covariation of gene ortholog groups with environmental parameters revealed patterns of functional adaptation to the challenging Red Sea environment: high irradiance, temperature, salinity, and low nutrients. Nutrient-acquisition gene ortholog groups were anti-correlated with concentrations of their respective nutrient species, recapturing trends previously observed across much larger distances and environmental gradients. This dataset of metagenomic covariation along densely sampled environmental gradients includes online data exploration supplements, serving as a community resource for marine microbial ecology.

Indexed as

BacteriaEnvironmentIndian OceanMarine BiologyMetagenomeMetagenomicsPhylogenySalinitySeawaterTemperature

Identifiers

PMID27420030
PMCPMC5315489

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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.