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Extending evolutionary forecasts across bacterial species
Umeå University, Faculty of Medicine, Department of Molecular Biology (Faculty of Medicine). Los Alamos National Laboratory, NM, Los Alamos, United States.ORCID iD: 0000-0002-8186-3005
Umeå University, Faculty of Medicine, Department of Molecular Biology (Faculty of Medicine).
Umeå University, Faculty of Medicine, Department of Molecular Biology (Faculty of Medicine).
Umeå University, Faculty of Medicine, Umeå Centre for Microbial Research (UCMR). Umeå University, Faculty of Science and Technology, Department of Molecular Biology (Faculty of Science and Technology).ORCID iD: 0000-0003-1510-8324
2024 (English)In: Proceedings of the Royal Society of London. Biological Sciences, ISSN 0962-8452, E-ISSN 1471-2954, Vol. 291, no 2036, article id 20242312Article in journal (Refereed) Published
Abstract [en]

Improving evolutionary forecasting requires progressing from studying repeated evolution of a single genotype under identical conditions to formulating broad principles. These principles should enable predictions of how similar species will adapt to similar selective pressures. Evolve-and-resequence experiments with multiple species allow testing forecasts on different biological levels and elucidating the causes for failed predictions. Here, we show that forecasts for adaptation to static culture conditions can be extended to multiple species by testing previous predictions for Pseudomonas syringae and Pseudomonas savastanoi. In addition to sequence divergence, these species differ in their repertoire of biofilm regulatory genes and structural components. Consistent with predictions, both species repeatedly produced biofilm mutants with a wrinkly spreader phenotype. Predominantly, mutations occurred in the wsp operon, with less frequent promoter mutations near uncharacterized diguanylate cyclases. However, mutational patterns differed on the gene level, which was explained by a lack of conservation in relative fitness of mutants between more divergent species. The same mutation was the most frequent for both species suggesting that conserved mutation hotspots can increase parallel evolution. This study shows that evolutionary forecasts can be extended across species, but that differences in the genotype-phenotype-fitness map and mutational biases limit predictability on a detailed molecular level.

Place, publisher, year, edition, pages
Royal Society Publishing , 2024. Vol. 291, no 2036, article id 20242312
Keywords [en]
c-di-GMP, evolutionary predictability, experimental evolution, Pseudomonas savastanoi, Pseudomonas syringae, wrinkly spreader
National Category
Genetics and Genomics Evolutionary Biology Biochemistry Molecular Biology
Identifiers
URN: urn:nbn:se:umu:diva-233547DOI: 10.1098/rspb.2024.2312ISI: 001377212400013PubMedID: 39657800Scopus ID: 2-s2.0-85212245196OAI: oai:DiVA.org:umu-233547DiVA, id: diva2:1926314
Available from: 2025-01-10 Created: 2025-01-10 Last updated: 2025-02-20Bibliographically approved

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Pentz, Jennifer T.Lind, Peter A

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Pentz, Jennifer T.Biswas, AparnaLind, Peter A
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Department of Molecular Biology (Faculty of Medicine)Umeå Centre for Microbial Research (UCMR)Department of Molecular Biology (Faculty of Science and Technology)
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Proceedings of the Royal Society of London. Biological Sciences
Genetics and GenomicsEvolutionary BiologyBiochemistryMolecular Biology

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