Phenotypic convergence in bacterial adaptive evolution to ethanol stress

BMC Evolutionary Biology
Takaaki HorinouchiChikara Furusawa

Abstract

Bacterial cells have a remarkable ability to adapt to environmental changes, a phenomenon known as adaptive evolution. During adaptive evolution, phenotype and genotype dynamically changes; however, the relationship between these changes and associated constraints is yet to be fully elucidated. In this study, we analyzed phenotypic and genotypic changes in Escherichia coli cells during adaptive evolution to ethanol stress. Phenotypic changes were quantified by transcriptome and metabolome analyses and were similar among independently evolved ethanol tolerant populations, which indicate the existence of evolutionary constraints in the dynamics of adaptive evolution. Furthermore, the contribution of identified mutations in one of the tolerant strains was evaluated using site-directed mutagenesis. The result demonstrated that the introduction of all identified mutations cannot fully explain the observed tolerance in the tolerant strain. The results demonstrated that the convergence of adaptive phenotypic changes and diverse genotypic changes, which suggested that the phenotype-genotype mapping is complex. The integration of transcriptome and genome data provides a quantitative understanding of evolutionary constraints.

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Citations

Mar 17, 2017·Scientific Reports·Huansheng CaoYing Xu
Oct 21, 2018·World Journal of Microbiology & Biotechnology·Takaaki HorinouchiChikara Furusawa
Dec 22, 2019·Microorganisms·Masaomi Kurokawa, Bei-Wen Ying
Feb 26, 2019·Nature Communications·Donghui ChoeByung-Kwan Cho
Jul 27, 2018·Microbiology and Molecular Biology Reviews : MMBR·Bram Van den BerghJan Michiels
Sep 10, 2020·Frontiers in Microbiology·Beny Spira, Katia Ospino
Apr 20, 2018·BMC Microbiology·Katherine M LupinoGregory B Hecht
May 16, 2018·Physical Review. E·Chikara Furusawa, Kunihiko Kaneko
Feb 18, 2018·Research in Microbiology·Lacey L WestphalKarin E Kram
Oct 22, 2021·Journal of Industrial Microbiology & Biotechnology·Aiqin Shi, James R Broach

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Datasets Mentioned

BETA
GSE59050
DRA002309

Methods Mentioned

BETA
PCA
electrophoresis

Software Mentioned

Chemstation
SSAHA2
bioscope
SOLiD bioscope
Illumina
MiSeq
MassHunter
SOLiD

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