Literature DB >> 21700661

Stock culture heterogeneity rather than new mutational variation complicates short-term cell physiology studies of Escherichia coli K-12 MG1655 in continuous culture.

Ranno Nahku1,2, Karl Peebo1,2, Kaspar Valgepea1,2, Jeffrey E Barrick3, Kaarel Adamberg4,1, Raivo Vilu1,2.   

Abstract

Nutrient-limited continuous cultures in chemostats have been used to study microbial cell physiology for over 60 years. Genome instability and genetic heterogeneity are possible uncontrolled factors in continuous cultivation experiments. We investigated these issues by using high-throughput (HT) DNA sequencing to characterize samples from different phases of a glucose-limited accelerostat (A-stat) experiment with Escherichia coli K-12 MG1655 and a duration regularly used in cell physiology studies (20 generations of continuous cultivation). Seven consensus mutations from the reference sequence and five subpopulations characterized by different mutations were detected in the HT-sequenced samples. This genetic heterogeneity was confirmed to result from the stock culture by Sanger sequencing. All the subpopulations in which allele frequencies increased (betA, cspG/cspH, glyA) during the experiment were also present at the end of replicate A-stats, indicating that no new subpopulations emerged during our experiments. The fact that ~31 % of the cells in our initial cultures obtained directly from a culture stock centre were mutants raises concerns that even if cultivations are started from single colonies, there is a significant chance of picking a mutant clone with an altered phenotype. Our results show that current HT DNA sequencing technology allows accurate subpopulation analysis and demonstrates that a glucose-limited E. coli K-12 MG1655 A-stat experiment with a duration of tens of generations is suitable for studying cell physiology and collecting quantitative data for metabolic modelling without interference from new mutations.

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Year:  2011        PMID: 21700661      PMCID: PMC3352173          DOI: 10.1099/mic.0.050658-0

Source DB:  PubMed          Journal:  Microbiology (Reading)        ISSN: 1350-0872            Impact factor:   2.777


  9 in total

1.  Identifying structural variation in haploid microbial genomes from short-read resequencing data using breseq.

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2.  Multi-omics Quantification of Species Variation of Escherichia coli Links Molecular Features with Strain Phenotypes.

Authors:  Jonathan M Monk; Anna Koza; Miguel A Campodonico; Daniel Machado; Jose Miguel Seoane; Bernhard O Palsson; Markus J Herrgård; Adam M Feist
Journal:  Cell Syst       Date:  2016-09-22       Impact factor: 10.304

Review 3.  Genome dynamics during experimental evolution.

Authors:  Jeffrey E Barrick; Richard E Lenski
Journal:  Nat Rev Genet       Date:  2013-10-29       Impact factor: 53.242

4.  Identification of substrain-specific mutations by massively parallel whole-genome resequencing of Synechocystis sp. PCC 6803.

Authors:  Yu Kanesaki; Yuh Shiwa; Naoyuki Tajima; Marie Suzuki; Satoru Watanabe; Naoki Sato; Masahiko Ikeuchi; Hirofumi Yoshikawa
Journal:  DNA Res       Date:  2011-12-22       Impact factor: 4.458

5.  The role of clonal interference in the evolutionary dynamics of plasmid-host adaptation.

Authors:  Julie M Hughes; Brian K Lohman; Gail E Deckert; Eric P Nichols; Matt Settles; Zaid Abdo; Eva M Top
Journal:  MBio       Date:  2012-07-03       Impact factor: 7.867

6.  Rapid evolution of silver nanoparticle resistance in Escherichia coli.

Authors:  Joseph L Graves; Mehrdad Tajkarimi; Quincy Cunningham; Adero Campbell; Herve Nonga; Scott H Harrison; Jeffrey E Barrick
Journal:  Front Genet       Date:  2015-02-17       Impact factor: 4.599

7.  Convergent microevolution of Cryptococcus neoformans hypervirulence in the laboratory and the clinic.

Authors:  Samantha D M Arras; Kate L Ormerod; Paige E Erpf; Monica I Espinosa; Alex C Carpenter; Ross D Blundell; Samantha R Stowasser; Benjamin L Schulz; Milos Tanurdzic; James A Fraser
Journal:  Sci Rep       Date:  2017-12-20       Impact factor: 4.379

8.  Hotspots of Sequence Variability in Gut Microbial Genes Encoding Pro-Inflammatory Factors Revealed by Oligotyping.

Authors:  Ramón Gómez-Moreno; Rachell Martínez-Ramírez; Abiel Roche-Lima; Kelvin Carrasquillo-Carrión; Josué Pérez-Santiago; Abel Baerga-Ortiz
Journal:  Front Genet       Date:  2019-07-09       Impact factor: 4.599

9.  Experimental Evolution of Campylobacter jejuni Leads to Loss of Motility, rpoN (σ54) Deletion and Genome Reduction.

Authors:  Azam A Sher; John P Jerome; Julia A Bell; Julian Yu; Hahyung Y Kim; Jeffrey E Barrick; Linda S Mansfield
Journal:  Front Microbiol       Date:  2020-11-06       Impact factor: 5.640

  9 in total

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