Evidence map›Paper›PMID 37723339›Full record

ArticleThe ISME journal2023

Frequency of change determines effectiveness of microbial response strategies.

Shengjie Li, Damon Mosier, Xiaoli Dong, Angela Kouris, Guodong Ji, Marc Strous, Muhe Diao

Open access · hybridAbstract read
In one paragraph

Article in The ISME journal, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
2.0field-weighted citation impact, top 14% 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

9 citing papers in PubMed, 18 citations in OpenAlex.

  1. Article
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  3. Review
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  5. Article
  6. Deciphering vancomycin resistance inFrontiers in microbiology · 2025
    Article
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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

7 authors at 2 institutions in 3 countries.

Shengjie LiDepartment of Geoscience, University of Calgary, Calgary, AB, T2N 1N4, Canada.ORCID 0000-0002-2371-5143
Damon MosierDepartment of Geoscience, University of Calgary, Calgary, AB, T2N 1N4, Canada.
Xiaoli DongDepartment of Geoscience, University of Calgary, Calgary, AB, T2N 1N4, Canada.
Angela KourisDepartment of Geoscience, University of Calgary, Calgary, AB, T2N 1N4, Canada.
Guodong JiKey Laboratory of Water and Sediment Sciences, Ministry of Education, Department of Environmental Engineering, Peking University, 100871, Beijing, China.ORCID 0000-0002-0195-2367
Marc StrousDepartment of Geoscience, University of Calgary, Calgary, AB, T2N 1N4, Canada.ORCID 0000-0001-9600-3828
Muhe DiaoDepartment of Geoscience, University of Calgary, Calgary, AB, T2N 1N4, Canada. muhe.diao@ucalgary.ca.ORCID 0000-0002-0018-284X
University of Calgary · CAPeking University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Nature challenges microbes with change at different frequencies and demands an effective response for survival. Here, we used controlled laboratory experiments to investigate the effectiveness of different response strategies, such as post-translational modification, transcriptional regulation, and specialized versus adaptable metabolisms. For this, we inoculated replicated chemostats with an enrichment culture obtained from sulfidic stream microbiomes 16 weeks prior. The chemostats were submitted to alternatingly oxic and anoxic conditions at three frequencies, with periods of 1, 4 and 16 days. The microbial response was recorded with 16S rRNA gene amplicon sequencing, shotgun metagenomics, transcriptomics and proteomics. Metagenomics resolved provisional genomes of all abundant bacterial populations, mainly affiliated with Proteobacteria and Bacteroidetes. Almost all these populations maintained a steady growth rate under both redox conditions at all three frequencies of change. Our results supported three conclusions: (1) Oscillating oxic/anoxic conditions selected for generalistic species, rather than species specializing in only a single condition. (2) A high frequency of change selected for strong codon usage bias. (3) Alignment of transcriptomes and proteomes required multiple generations and was dependent on a low frequency of change.

Indexed as

MicrobiotaBacteriaBacteroidetesMetagenomeMetagenomicsRNA, Ribosomal, 16SRNA, Ribosomal, 16S

Identifiers

PMID37723339
PMCPMC10579261
OpenAlexW4386829317

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.