Evidence map›Paper›PMID 29980796›Full record

ArticleThe ISME journal2018

Disentangling the drivers of functional complexity at the metagenomic level in Shark Bay microbial mat microbiomes.

Hon Lun Wong, Richard Allen White, Pieter T Visscher, James C Charlesworth, Xabier Vázquez-Campos, Brendan P Burns

Open access · bronzeAbstract read
In one paragraph

Article in The ISME journal, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 50 papers.

0numbers the graph read from it
0cells of the map it votes in
50citing papers in PubMed
10.7field-weighted citation impact, top 1% of its field
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

50 citing papers in PubMed, 113 citations in OpenAlex.

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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 at 3 institutions in 2 countries.

Hon Lun WongSchool of Biotechnology and Biomolecular Sciences, The University of New South Wales, Sydney, NSW, Australia.
Richard Allen WhiteInstitute of Biological Chemistry, Washington State University, Pullman, USA.
Pieter T VisscherAustralian Centre for Astrobiology, University of New South Wales Sydney, Sydney, NSW, Australia.
James C CharlesworthSchool of Biotechnology and Biomolecular Sciences, The University of New South Wales, Sydney, NSW, Australia.
Xabier Vázquez-CamposSchool of Biotechnology and Biomolecular Sciences, The University of New South Wales, Sydney, NSW, Australia.ORCID http://orcid.org/0000-0003-1134-5058
Brendan P BurnsSchool of Biotechnology and Biomolecular Sciences, The University of New South Wales, Sydney, NSW, Australia. brendan.burns@unsw.edu.au.
UNSW Sydney · AUUniversity of Connecticut · USWashington State University · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The functional metagenomic potential of Shark Bay microbial mats was examined for the first time at a millimeter scale, employing shotgun sequencing of communities via the Illumina NextSeq 500 platform in conjunction with defined chemical analyses. A detailed functional metagenomic profile has elucidated key pathways and facilitated inference of critical microbial interactions. In addition, 87 medium-to-high-quality metagenome-assembled genomes (MAG) were assembled, including potentially novel bins under the deep-branching archaeal Asgard group (Thorarchaetoa and Lokiarchaeota). A range of pathways involved in carbon, nitrogen, sulfur, and phosphorus cycles were identified in mat metagenomes, with the Wood-Ljungdahl pathway over-represented and inferred as a major carbon fixation mode. The top five sets of genes were affiliated to sulfate assimilation (cysNC cysNCD, sat), methanogenesis (hdrABC), Wood-Ljungdahl pathways (cooS, coxSML), phosphate transport (pstB), and copper efflux (copA). Polyhydroxyalkanoate (PHA) synthase genes were over-represented at the surface, with PHA serving as a potential storage of fixed carbon. Sulfur metabolism genes were highly represented, in particular complete sets of genes responsible for both assimilatory and dissimilatory sulfate reduction. Pathways of environmental adaptation (UV, hypersalinity, oxidative stress, and heavy metal resistance) were also delineated, as well as putative viral defensive mechanisms (core genes of the CRISPR, BREX, and DISARM systems). This study provides new metagenome-based models of how biogeochemical cycles and adaptive responses may be partitioned in the microbial mats of Shark Bay.

Indexed as

MetagenomeMicrobiotaAnimalsArchaeaBacteriaBaysCarbonCarbon CycleMetagenomicsMicrobial InteractionsNitrogenPhosphorusSulfurCarbonNitrogenPhosphorusSulfur

Identifiers

PMID29980796
PMCPMC6194083
OpenAlexW2822894270

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

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.