Evidence map›Paper›PMID 33634862›Full record

ArticleEvolution; international journal of organic evolution2021

Rapid evolution of trait correlation networks during bacterial adaptation to the rhizosphere.

Erqin Li, Masahiro Ryo, George A Kowalchuk, Peter A H M Bakker, Alexandre Jousset

Open access · hybridAbstract read
In one paragraph

Article in Evolution; international journal of organic evolution, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed, 1 pooled it
2.5field-weighted citation impact, top 11% 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

6 citing papers in PubMed, 1 synthesis or guideline pooled it, 9 citations in OpenAlex.

  1. Root colonization by beneficial rhizobacteria.FEMS microbiology reviews · 2024
    Pooled it
  2. Article
  3. Review
  4. Article
  5. Review
  6. Article
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

5 authors at 2 institutions in 2 countries.

Erqin LiDepartment of Biology, Plant-Microbe Interactions, Utrecht University, Utrecht, CH, 3584, The Netherlands.
Masahiro RyoInstitut für Biologie, Freie Universität Berlin, Berlin, D-14195, Germany.ORCID 0000-0002-5271-3446
George A KowalchukDepartment of Biology, Ecology, and Biodiversity, Utrecht University, Utrecht, CH, 3584, The Netherlands.
Peter A H M BakkerDepartment of Biology, Plant-Microbe Interactions, Utrecht University, Utrecht, CH, 3584, The Netherlands.
Alexandre JoussetDepartment of Biology, Ecology, and Biodiversity, Utrecht University, Utrecht, CH, 3584, The Netherlands.
Utrecht University · NLLeibniz Centre for Agricultural Landscape Research · DE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

There is a growing awareness that traits do not evolve individually but rather are organized as modular networks of covarying traits. Although the importance of multi-trait correlation has been linked to the ability to evolve in response to new environmental conditions, the evolvability of the network itself has to date rarely been assessed experimentally. By following the evolutionary dynamics of a model bacterium adapting to plant roots, we demonstrate that the whole structure of the trait correlation network is highly dynamic. We experimentally evolved Pseudomonas protegens, a common rhizosphere dweller, on the roots of Arabidopsis thaliana. We collected bacteria at regular intervals and determined a range of traits linked to growth, stress resistance, and biotic interactions. We observed a rapid disintegration of the original trait correlation network. Ancestral populations showed a modular network, with the traits linked to resource use and stress resistance forming two largely independent modules. This network rapidly was restructured during adaptation, with a loss of the stress resistance module and the appearance of new modules out of previously disconnected traits. These results show that evolutionary dynamics can involve a deep restructuring of phenotypic trait organization, pointing to the emergence of novel life history strategies not represented in the ancestral phenotype.

Indexed as

Biological EvolutionRhizosphereAdaptation, PhysiologicalArabidopsisPseudomonasSymbiosisBacteriaexperimental evolutionrhizospheretrait correlation network

Identifiers

PMID33634862
PMCPMC8252368
OpenAlexW3131630031

What OpenQuestion holds

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LicenceCC BY-NC-ND
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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.