Evidence map›Paper›PMID 39440949›Full record

ArticleApplied and environmental microbiology2024

Convergent reductive evolution in bee-associated lactic acid bacteria.

Ana Pontes, Marie-Claire Harrison, Antonis Rokas, Carla Gonçalves

Abstract read
In one paragraph

Article in Applied and environmental microbiology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing 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

6 citing papers in PubMed.

  1. Genome-guided characterization ofMicrobiology spectrum · 2026
    Article
  2. Review
  3. Article
  4. International journal of systematic and evolutionary microbiology · 2026
    Article
  5. Article
  6. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

4 authors.

Ana PontesAssociate Laboratory i4HB, Institute for Health and Bioeconomy and UCIBIO, Applied Molecular Biosciences Unit, Department of Life Sciences, NOVA School of Science and Technology, Universidade NOVA de Lisboa, Caparica, Portugal.ORCID 0000-0002-7626-6599
Marie-Claire HarrisonDepartment of Biological Sciences, Vanderbilt University, Nashville, Tennessee, USA.
Antonis RokasDepartment of Biological Sciences, Vanderbilt University, Nashville, Tennessee, USA.ORCID 0000-0002-7248-6551
Carla GonçalvesAssociate Laboratory i4HB, Institute for Health and Bioeconomy and UCIBIO, Applied Molecular Biosciences Unit, Department of Life Sciences, NOVA School of Science and Technology, Universidade NOVA de Lisboa, Caparica, Portugal.ORCID 0000-0002-0420-4970

Funding

Deciphering the phenotypic and genomic traits that underlie the evolution of pathogenicity differences among Aspergillus fumigatus and its close relativesR01AI153356 · NIAID · VANDERBILT UNIVERSITY · PI Antonis Rokas · 2022 to 2026
$3.5M
MEC | Fundação para a Ciência e a Tecnologia (FCT) 2023.09581.CPCA.A1MEC | Fundação para a Ciência e a Tecnologia (FCT) PTDC/BIA-EVL/0604/2021MEC | Fundação para a Ciência e a Tecnologia (FCT) UIDB/04378/2020,UIDP/04378/2020,LA/P/0140/2020National Science Foundation (NSF) DEB-2110404NIAID NIH HHS R01 AI153356
6 · The paper itself

Abstract

Distantly related organisms may evolve similar traits when exposed to similar environments or engaging in certain lifestyles. Several members of the Lactobacillaceae [lactic acid bacteria (LAB)] family are frequently isolated from the floral niche, mostly from bees and flowers. In some floral LAB species (henceforth referred to as bee-associated LAB), distinctive genomic (e.g., genome reduction) and phenotypic (e.g., preference for fructose over glucose or fructophily) features were recently documented. These features are found across distantly related species, raising the hypothesis that specific genomic and phenotypic traits evolved convergently during adaptation to the floral environment. To test this hypothesis, we examined representative genomes of 369 species of bee-associated and non-bee-associated LAB. Phylogenomic analysis unveiled seven independent ecological shifts toward the bee environment in LAB. In these species, we observed significant reductions of genome size, gene repertoire, and GC content. Using machine leaning, we could distinguish bee-associated from non-bee-associated species with 94% accuracy, based on the absence of genes involved in metabolism, osmotic stress, or DNA repair. Moreover, we found that the most important genes for the machine learning classifier were seemingly lost, independently, in multiple bee-associated lineages. One of these genes, acetaldehyde-alcohol dehydrogenase (

Indexed as

Genome, BacterialPhylogenyAldehyde OxidoreductasesAnimalsBeesEvolution, MolecularFlowersLactobacillaceaeLactobacillalesaldehyde dehydrogenase (NAD(P)+)Aldehyde Oxidoreductasesbee symbiontsconvergent evolutionfructophilic lactic acid bacteria (FLAB)gene lossmachine learningreductive evolution

Identifiers

PMID39440949
PMCPMC11577768

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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.