Evidence map›Paper›PMID 33941890›Full record

ArticleThe ISME journal2021

Metabolic flexibility allows bacterial habitat generalists to become dominant in a frequently disturbed ecosystem.

Ya-Jou Chen, Pok Man Leung, Jennifer L Wood, Sean K Bay, Philip Hugenholtz, Adam J Kessler, Guy Shelley, David W Waite, Ashley E Franks, Perran L M Cook and 1 more

Abstract read
In one paragraph

Article in The ISME journal, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 133 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
133citing papers in PubMed, 1 pooled it
–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

133 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
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  9. Thermodynamic Evaluation of Dual Substrate Growth.Biotechnology and bioengineering · 2026
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73 more citing papers are in PubMed but not listed here.

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

11 authors.

Ya-Jou Chen *Department of Microbiology, Biomedicine Discovery Institute, Clayton, VIC, Australia.
Pok Man Leung *Department of Microbiology, Biomedicine Discovery Institute, Clayton, VIC, Australia.ORCID http://orcid.org/0000-0002-5382-827X
Jennifer L WoodDepartment of Physiology, Anatomy and Microbiology, La Trobe University, Bundoora, VIC, Australia.
Sean K BayDepartment of Microbiology, Biomedicine Discovery Institute, Clayton, VIC, Australia.ORCID http://orcid.org/0000-0003-4833-3106
Philip HugenholtzAustralian Centre for Ecogenomics, School of Chemistry and Molecular Biosciences, The University of Queensland, St Lucia, QLD, Australia.ORCID http://orcid.org/0000-0001-5386-7925
Adam J KesslerWater Studies Centre, School of Chemistry, Monash University, Clayton, VIC, Australia.ORCID http://orcid.org/0000-0003-4753-9292
Guy ShelleySchool of Biological Sciences, Monash University, Clayton, VIC, Australia.
David W WaiteAustralian Centre for Ecogenomics, School of Chemistry and Molecular Biosciences, The University of Queensland, St Lucia, QLD, Australia.
Ashley E FranksDepartment of Physiology, Anatomy and Microbiology, La Trobe University, Bundoora, VIC, Australia.ORCID http://orcid.org/0000-0003-1664-6060
Perran L M CookWater Studies Centre, School of Chemistry, Monash University, Clayton, VIC, Australia. perran.cook@monash.edu.ORCID http://orcid.org/0000-0002-0444-3488
Chris GreeningDepartment of Microbiology, Biomedicine Discovery Institute, Clayton, VIC, Australia. chris.greening@monash.edu.ORCID http://orcid.org/0000-0001-7616-0594

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Ecological theory suggests that habitat disturbance differentially influences distributions of habitat generalist and specialist species. While well-established for macroorganisms, this theory has rarely been explored for microorganisms. Here we tested these principles in permeable (sandy) sediments, ecosystems with much spatiotemporal variation in resource availability and physicochemical conditions. Microbial community composition and function were profiled in intertidal and subtidal sediments using 16S rRNA gene amplicon sequencing and metagenomics, yielding 135 metagenome-assembled genomes. Community composition and metabolic traits modestly varied with sediment depth and sampling date. Several taxa were highly abundant and prevalent in all samples, including within the orders Woeseiales and Flavobacteriales, and classified as habitat generalists; genome reconstructions indicate these taxa are highly metabolically flexible facultative anaerobes and adapt to resource variability by using different electron donors and acceptors. In contrast, obligately anaerobic taxa such as sulfate reducers and candidate lineage MBNT15 were less abundant overall and only thrived in more stable deeper sediments. We substantiated these findings by measuring three metabolic processes in these sediments; whereas the habitat generalist-associated processes of sulfide oxidation and fermentation occurred rapidly at all depths, the specialist-associated process of sulfate reduction was restricted to deeper sediments. A manipulative experiment also confirmed habitat generalists outcompete specialist taxa during simulated habitat disturbance. Together, these findings show metabolically flexible habitat generalists become dominant in highly dynamic environments, whereas metabolically constrained specialists are restricted to narrower niches. Thus, an ecological theory describing distribution patterns for macroorganisms likely extends to microorganisms. Such findings have broad ecological and biogeochemical ramifications.

Indexed as

EcosystemMicrobiotaBacteriaGeologic SedimentsMetagenomicsRNA, Ribosomal, 16SRNA, Ribosomal, 16S

Identifiers

PMID33941890
PMCPMC8443593

What OpenQuestion holds

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LicenceCC BY
Read underepoch 390

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.