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Dynamics of genetic variation in transcription factors and its implications for the evolution of regulatory networks in Bacteria

The evolution of regulatory networks in Bacteria has largely been explained at macroevolutionary scales through lateral gene transfer and gene duplication. Transcription factors (TF) have been found to be less conserved across species than their target genes (TG). This would be expected if TFs accum...

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Autores principales: Ali, Farhan, Seshasayee, Aswin Sai Narain
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7192604/
https://www.ncbi.nlm.nih.gov/pubmed/32182360
http://dx.doi.org/10.1093/nar/gkaa162
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author Ali, Farhan
Seshasayee, Aswin Sai Narain
author_facet Ali, Farhan
Seshasayee, Aswin Sai Narain
author_sort Ali, Farhan
collection PubMed
description The evolution of regulatory networks in Bacteria has largely been explained at macroevolutionary scales through lateral gene transfer and gene duplication. Transcription factors (TF) have been found to be less conserved across species than their target genes (TG). This would be expected if TFs accumulate mutations faster than TGs. This hypothesis is supported by several lab evolution studies which found TFs, especially global regulators, to be frequently mutated. Despite these studies, the contribution of point mutations in TFs to the evolution of regulatory network is poorly understood. We tested if TFs show greater genetic variation than their TGs using whole-genome sequencing data from a large collection of Escherichia coli isolates. TFs were less diverse than their TGs across natural isolates, with TFs of large regulons being more conserved. In contrast, TFs showed higher mutation frequency in adaptive laboratory evolution experiments. However, over long-term laboratory evolution spanning 60 000 generations, mutation frequency in TFs gradually declined after a rapid initial burst. Extrapolating the dynamics of genetic variation from long-term laboratory evolution to natural populations, we propose that point mutations, conferring large-scale gene expression changes, may drive the early stages of adaptation but gene regulation is subjected to stronger purifying selection post adaptation.
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spelling pubmed-71926042020-05-06 Dynamics of genetic variation in transcription factors and its implications for the evolution of regulatory networks in Bacteria Ali, Farhan Seshasayee, Aswin Sai Narain Nucleic Acids Res Computational Biology The evolution of regulatory networks in Bacteria has largely been explained at macroevolutionary scales through lateral gene transfer and gene duplication. Transcription factors (TF) have been found to be less conserved across species than their target genes (TG). This would be expected if TFs accumulate mutations faster than TGs. This hypothesis is supported by several lab evolution studies which found TFs, especially global regulators, to be frequently mutated. Despite these studies, the contribution of point mutations in TFs to the evolution of regulatory network is poorly understood. We tested if TFs show greater genetic variation than their TGs using whole-genome sequencing data from a large collection of Escherichia coli isolates. TFs were less diverse than their TGs across natural isolates, with TFs of large regulons being more conserved. In contrast, TFs showed higher mutation frequency in adaptive laboratory evolution experiments. However, over long-term laboratory evolution spanning 60 000 generations, mutation frequency in TFs gradually declined after a rapid initial burst. Extrapolating the dynamics of genetic variation from long-term laboratory evolution to natural populations, we propose that point mutations, conferring large-scale gene expression changes, may drive the early stages of adaptation but gene regulation is subjected to stronger purifying selection post adaptation. Oxford University Press 2020-05-07 2020-03-17 /pmc/articles/PMC7192604/ /pubmed/32182360 http://dx.doi.org/10.1093/nar/gkaa162 Text en © The Author(s) 2020. Published by Oxford University Press on behalf of Nucleic Acids Research. http://creativecommons.org/licenses/by/4.0/ This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted reuse, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Computational Biology
Ali, Farhan
Seshasayee, Aswin Sai Narain
Dynamics of genetic variation in transcription factors and its implications for the evolution of regulatory networks in Bacteria
title Dynamics of genetic variation in transcription factors and its implications for the evolution of regulatory networks in Bacteria
title_full Dynamics of genetic variation in transcription factors and its implications for the evolution of regulatory networks in Bacteria
title_fullStr Dynamics of genetic variation in transcription factors and its implications for the evolution of regulatory networks in Bacteria
title_full_unstemmed Dynamics of genetic variation in transcription factors and its implications for the evolution of regulatory networks in Bacteria
title_short Dynamics of genetic variation in transcription factors and its implications for the evolution of regulatory networks in Bacteria
title_sort dynamics of genetic variation in transcription factors and its implications for the evolution of regulatory networks in bacteria
topic Computational Biology
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7192604/
https://www.ncbi.nlm.nih.gov/pubmed/32182360
http://dx.doi.org/10.1093/nar/gkaa162
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