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Frequency of change determines effectiveness of microbial response strategies

Nature challenges microbes with change at different frequencies and demands an effective response for survival. Here, we used controlled laboratory experiments to investigate the effectiveness of different response strategies, such as post-translational modification, transcriptional regulation, and...

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Autores principales: Li, Shengjie, Mosier, Damon, Dong, Xiaoli, Kouris, Angela, Ji, Guodong, Strous, Marc, Diao, Muhe
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10579261/
https://www.ncbi.nlm.nih.gov/pubmed/37723339
http://dx.doi.org/10.1038/s41396-023-01515-9
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author Li, Shengjie
Mosier, Damon
Dong, Xiaoli
Kouris, Angela
Ji, Guodong
Strous, Marc
Diao, Muhe
author_facet Li, Shengjie
Mosier, Damon
Dong, Xiaoli
Kouris, Angela
Ji, Guodong
Strous, Marc
Diao, Muhe
author_sort Li, Shengjie
collection PubMed
description Nature challenges microbes with change at different frequencies and demands an effective response for survival. Here, we used controlled laboratory experiments to investigate the effectiveness of different response strategies, such as post-translational modification, transcriptional regulation, and specialized versus adaptable metabolisms. For this, we inoculated replicated chemostats with an enrichment culture obtained from sulfidic stream microbiomes 16 weeks prior. The chemostats were submitted to alternatingly oxic and anoxic conditions at three frequencies, with periods of 1, 4 and 16 days. The microbial response was recorded with 16S rRNA gene amplicon sequencing, shotgun metagenomics, transcriptomics and proteomics. Metagenomics resolved provisional genomes of all abundant bacterial populations, mainly affiliated with Proteobacteria and Bacteroidetes. Almost all these populations maintained a steady growth rate under both redox conditions at all three frequencies of change. Our results supported three conclusions: (1) Oscillating oxic/anoxic conditions selected for generalistic species, rather than species specializing in only a single condition. (2) A high frequency of change selected for strong codon usage bias. (3) Alignment of transcriptomes and proteomes required multiple generations and was dependent on a low frequency of change.
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spelling pubmed-105792612023-10-18 Frequency of change determines effectiveness of microbial response strategies Li, Shengjie Mosier, Damon Dong, Xiaoli Kouris, Angela Ji, Guodong Strous, Marc Diao, Muhe ISME J Article Nature challenges microbes with change at different frequencies and demands an effective response for survival. Here, we used controlled laboratory experiments to investigate the effectiveness of different response strategies, such as post-translational modification, transcriptional regulation, and specialized versus adaptable metabolisms. For this, we inoculated replicated chemostats with an enrichment culture obtained from sulfidic stream microbiomes 16 weeks prior. The chemostats were submitted to alternatingly oxic and anoxic conditions at three frequencies, with periods of 1, 4 and 16 days. The microbial response was recorded with 16S rRNA gene amplicon sequencing, shotgun metagenomics, transcriptomics and proteomics. Metagenomics resolved provisional genomes of all abundant bacterial populations, mainly affiliated with Proteobacteria and Bacteroidetes. Almost all these populations maintained a steady growth rate under both redox conditions at all three frequencies of change. Our results supported three conclusions: (1) Oscillating oxic/anoxic conditions selected for generalistic species, rather than species specializing in only a single condition. (2) A high frequency of change selected for strong codon usage bias. (3) Alignment of transcriptomes and proteomes required multiple generations and was dependent on a low frequency of change. Nature Publishing Group UK 2023-09-18 2023-11 /pmc/articles/PMC10579261/ /pubmed/37723339 http://dx.doi.org/10.1038/s41396-023-01515-9 Text en © The Author(s) 2023 https://creativecommons.org/licenses/by/4.0/Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) .
spellingShingle Article
Li, Shengjie
Mosier, Damon
Dong, Xiaoli
Kouris, Angela
Ji, Guodong
Strous, Marc
Diao, Muhe
Frequency of change determines effectiveness of microbial response strategies
title Frequency of change determines effectiveness of microbial response strategies
title_full Frequency of change determines effectiveness of microbial response strategies
title_fullStr Frequency of change determines effectiveness of microbial response strategies
title_full_unstemmed Frequency of change determines effectiveness of microbial response strategies
title_short Frequency of change determines effectiveness of microbial response strategies
title_sort frequency of change determines effectiveness of microbial response strategies
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10579261/
https://www.ncbi.nlm.nih.gov/pubmed/37723339
http://dx.doi.org/10.1038/s41396-023-01515-9
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