Evidence map›Paper›PMID 33976223›Full record

ArticleNature communications2021

Community composition of microbial microcosms follows simple assembly rules at evolutionary timescales.

Nittay Meroz, Nesli Tovi, Yael Sorokin, Jonathan Friedman

Open access · goldAbstract read
In one paragraph

Article in Nature communications, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 34 papers.

0numbers the graph read from it
0cells of the map it votes in
34citing papers in PubMed
8.0field-weighted citation impact, top 2% 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

34 citing papers in PubMed, 56 citations in OpenAlex.

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  15. Parallel ecological and evolutionary responses to selection in a natural bacterial community.Proceedings of the National Academy of Sciences of the United States of America · 2024
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  19. Grow now, pay later: When should a bacterium go into debt?Proceedings of the National Academy of Sciences of the United States of America · 2024
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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

4 authors at 1 institution in 1 country.

Nittay MerozDepartment of Plant Pathology and Microbiology, The Hebrew University of Jerusalem, Rehovot, Israel. nittay.meroz@mail.huji.ac.il.ORCID 0000-0001-6195-5116
Nesli ToviDepartment of Plant Pathology and Microbiology, The Hebrew University of Jerusalem, Rehovot, Israel.
Yael SorokinDepartment of Plant Pathology and Microbiology, The Hebrew University of Jerusalem, Rehovot, Israel.
Jonathan FriedmanDepartment of Plant Pathology and Microbiology, The Hebrew University of Jerusalem, Rehovot, Israel. yonatan.friedman@mail.huji.ac.il.ORCID 0000-0001-8476-8030
Hebrew University of Jerusalem · IL

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Managing and engineering microbial communities relies on the ability to predict their composition. While progress has been made on predicting compositions on short, ecological timescales, there is still little work aimed at predicting compositions on evolutionary timescales. Therefore, it is still unknown for how long communities typically remain stable after reaching ecological equilibrium, and how repeatable and predictable are changes when they occur. Here, we address this knowledge gap by tracking the composition of 87 two- and three-species bacterial communities, with 3-18 replicates each, for ~400 generations. We find that community composition typically changed during evolution, but that the composition of replicate communities remained similar. Furthermore, these changes were predictable in a bottom-up approach-changes in the composition of trios were consistent with those that occurred in pairs during coevolution. Our results demonstrate that simple assembly rules can hold even on evolutionary timescales, suggesting it may be possible to forecast the evolution of microbial communities.

Indexed as

Evolution, MolecularBacteriaCell DivisionMicrobiotaModels, GeneticSpecies SpecificityTime Factors

Identifiers

PMID33976223
PMCPMC8113234
OpenAlexW3161806622

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.