Evidence map›Paper›PMID 30204767›Full record

ArticlePloS one2018

Metagenomics reveals niche partitioning within the phototrophic zone of a microbial mat.

Jackson Z Lee, R Craig Everroad, Ulas Karaoz, Angela M Detweiler, Jennifer Pett-Ridge, Peter K Weber, Leslie Prufert-Bebout, Brad M Bebout

Abstract read
In one paragraph

Article in PloS one, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing 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

8 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

8 authors.

Jackson Z LeeExobiology Branch, NASA Ames Research Center, Moffett Field, CA, United States of America.ORCID 0000-0003-0294-6329
R Craig EverroadExobiology Branch, NASA Ames Research Center, Moffett Field, CA, United States of America.
Ulas KaraozEarth and Environmental Sciences, Lawrence Berkeley National Laboratory, Berkeley, CA, United States of America.
Angela M DetweilerExobiology Branch, NASA Ames Research Center, Moffett Field, CA, United States of America.ORCID 0000-0001-7026-5467
Jennifer Pett-RidgePhysical and Life Sciences Directorate, Lawrence Livermore National Laboratory, Livermore, CA, United States of America.
Peter K WeberPhysical and Life Sciences Directorate, Lawrence Livermore National Laboratory, Livermore, CA, United States of America.
Leslie Prufert-BeboutExobiology Branch, NASA Ames Research Center, Moffett Field, CA, United States of America.
Brad M BeboutExobiology Branch, NASA Ames Research Center, Moffett Field, CA, United States of America.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Hypersaline photosynthetic microbial mats are stratified microbial communities known for their taxonomic and metabolic diversity and strong light-driven day-night environmental gradients. In this study of the upper photosynthetic zone of hypersaline microbial mats of Elkhorn Slough, California (USA), we show how metagenome sequencing can be used to meaningfully assess microbial ecology and genetic partitioning in these complex microbial systems. Mapping of metagenome reads to the dominant Cyanobacteria observed in the system, Coleofasciculus (Microcoleus) chthonoplastes, was used to examine strain variants within these metagenomes. Highly conserved gene subsystems indicated a core genome for the species, and a number of variant genes and subsystems suggested strain level differentiation, especially for nutrient utilization and stress response. Metagenome sequence coverage binning was used to assess ecosystem partitioning of remaining microbes to both reconstruct the model organisms in silico and identify their ecosystem functions as well as to identify novel clades and propose their role in the biogeochemical cycling of mats. Functional gene annotation of these bins (primarily of Proteobacteria, Bacteroidetes, and Cyanobacteria) recapitulated the known biogeochemical functions in microbial mats using a genetic basis, and revealed significant diversity in the Bacteroidetes, presumably in heterotrophic cycling. This analysis also revealed evidence of putative phototrophs within the Gemmatimonadetes and Gammaproteobacteria residing in microbial mats. This study shows that metagenomic analysis can produce insights into the systems biology of microbial ecosystems from a genetic perspective and to suggest further studies of novel microbes.

Indexed as

BacteriaBacteroidetesCaliforniaCyanobacteriaEvolution, MolecularGammaproteobacteriaMetagenomicsMolecular Sequence AnnotationPhotosynthesisPhylogenyProteobacteriaWhole Genome Sequencing

Identifiers

PMID30204767
PMCPMC6133358

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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.