Convergent reductive evolution in bee-associated lactic acid bacteria.

bee symbionts convergent evolution fructophilic lactic acid bacteria (FLAB) gene loss machine learning reductive evolution

Journal

Applied and environmental microbiology
ISSN: 1098-5336
Titre abrégé: Appl Environ Microbiol
Pays: United States
ID NLM: 7605801

Informations de publication

Date de publication:
23 Oct 2024
Historique:
medline: 23 10 2024
pubmed: 23 10 2024
entrez: 23 10 2024
Statut: aheadofprint

Résumé

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 (

Identifiants

pubmed: 39440949
doi: 10.1128/aem.01257-24
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

e0125724

Auteurs

Ana Pontes (A)

Associate 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.
UCIBIO-i4HB, Departamento de Ciências da Vida, Faculdade de Ciências e Tecnologia, Universidade Nova de Lisboa, Caparica, Portugal.

Marie-Claire Harrison (M-C)

Department of Biological Sciences, Vanderbilt University, Nashville, Tennessee, USA.
Evolutionary Studies Initiative, Vanderbilt University, Nashville, Tennessee, USA.

Antonis Rokas (A)

Department of Biological Sciences, Vanderbilt University, Nashville, Tennessee, USA.
Evolutionary Studies Initiative, Vanderbilt University, Nashville, Tennessee, USA.

Carla Gonçalves (C)

Associate 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.
UCIBIO-i4HB, Departamento de Ciências da Vida, Faculdade de Ciências e Tecnologia, Universidade Nova de Lisboa, Caparica, Portugal.

Classifications MeSH