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Global within-species phylogenetics of sewage microbes suggest that local adaptation shapes geographical bacterial clustering

Most investigations of geographical within-species differences are limited to focusing on a single species. Here, we investigate global differences for multiple bacterial species using a dataset of 757 metagenomics sewage samples from 101 countries worldwide. The within-species variations were deter...

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Detalles Bibliográficos
Autores principales: Jespersen, Marie Louise, Munk, Patrick, Johansen, Joachim, Kaas, Rolf Sommer, Webel, Henry, Vigre, Håkan, Nielsen, Henrik Bjørn, Rasmussen, Simon, Aarestrup, Frank M.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10329687/
https://www.ncbi.nlm.nih.gov/pubmed/37422584
http://dx.doi.org/10.1038/s42003-023-05083-8
Descripción
Sumario:Most investigations of geographical within-species differences are limited to focusing on a single species. Here, we investigate global differences for multiple bacterial species using a dataset of 757 metagenomics sewage samples from 101 countries worldwide. The within-species variations were determined by performing genome reconstructions, and the analyses were expanded by gene focused approaches. Applying these methods, we recovered 3353 near complete (NC) metagenome assembled genomes (MAGs) encompassing 1439 different MAG species and found that within-species genomic variation was in 36% of the investigated species (12/33) coherent with regional separation. Additionally, we found that variation of organelle genes correlated less with geography compared to metabolic and membrane genes, suggesting that the global differences of these species are caused by regional environmental selection rather than dissemination limitations. From the combination of the large and globally distributed dataset and in-depth analysis, we present a wide investigation of global within-species phylogeny of sewage bacteria. The global differences found here emphasize the need for worldwide data sets when making global conclusions.