Evidence map›Paper›PMID 37996397›Full record

ArticleFEMS microbiology ecology2023

Adaptive radiations in natural populations of prokaryotes: innovation is key.

Michiel Vos, Daniel Padfield, Christopher Quince, Rutger Vos

Abstract read
In one paragraph

Article in FEMS microbiology ecology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
–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

5 citing papers in PubMed.

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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.

Michiel VosEuropean Centre for Environment and Human Health, University of Exeter Medical School, Environment and Sustainability Institute, Treliever Road, Penryn Campus, Penryn, TR10 9FE, United Kingdom.ORCID 0000-0002-3917-8151
Daniel PadfieldEuropean Centre for Environment and Human Health, University of Exeter Medical School, Environment and Sustainability Institute, Treliever Road, Penryn Campus, Penryn, TR10 9FE, United Kingdom.
Christopher QuinceOrganisms and Ecosystems, Earlham Institute, Norwich Research Park, Norwich NR4 7UZ, United Kingdom.
Rutger VosNaturalis Biodiversity Center, Understanding Evolution, Darwinweg 2, Leiden 2333 CR, the Netherlands.

Funding

NERC NE/T008083/1
6 · The paper itself

Abstract

Prokaryote diversity makes up most of the tree of life and is crucial to the functioning of the biosphere and human health. However, the patterns and mechanisms of prokaryote diversification have received relatively little attention compared to animals and plants. Adaptive radiation, the rapid diversification of an ancestor species into multiple ecologically divergent species, is a fundamental process by which macrobiological diversity is generated. Here, we discuss whether ecological opportunity could lead to similar bursts of diversification in bacteria. We explore how adaptive radiations in prokaryotes can be kickstarted by horizontally acquired key innovations allowing lineages to invade new niche space that subsequently is partitioned among diversifying specialist descendants. We discuss how novel adaptive zones are colonized and exploited after the evolution of a key innovation and whether certain types of are more prone to adaptive radiation. Radiation into niche specialists does not necessarily lead to speciation in bacteria when barriers to recombination are absent. We propose that in this scenario, niche-specific genes could accumulate within a single lineage, leading to the evolution of an open pangenome.

Indexed as

Genetic SpeciationPlantsAnimalsBiological EvolutionHumansPhylogenyadaptive radiationsdiversificationkey innovationsmacroevolutionpangenomesspeciation

Identifiers

PMID37996397
PMCPMC10710302

What OpenQuestion holds

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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.