Literature DB >> 20874764

Next-generation sequencing as a tool to study microbial evolution.

Michael A Brockhurst1, Nick Colegrave, Daniel E Rozen.   

Abstract

Thanks to their short generation times and large population sizes, microbes evolve rapidly. Evolutionary biologists have exploited this to observe evolution in real time. The falling costs of whole-genome sequencing using next-generation technologies now mean that it is realistic to use this as a tool to study this rapid microbial evolution both in the laboratory and in the wild. Such experiments are being used to accurately estimate the rates of mutation, reveal the genetic targets and dynamics of natural selection, uncover the correlation (or lack thereof) between genetic and phenotypic change, and provide data to test long-standing evolutionary hypotheses. These advances have important implications for our understanding of the within- and between-host evolution of microbial pathogens.
© 2010 Blackwell Publishing Ltd.

Mesh:

Year:  2010        PMID: 20874764     DOI: 10.1111/j.1365-294X.2010.04835.x

Source DB:  PubMed          Journal:  Mol Ecol        ISSN: 0962-1083            Impact factor:   6.185


  36 in total

1.  Laboratory evolution of Geobacter sulfurreducens for enhanced growth on lactate via a single-base-pair substitution in a transcriptional regulator.

Authors:  Zarath M Summers; Toshiyuki Ueki; Wael Ismail; Shelley A Haveman; Derek R Lovley
Journal:  ISME J       Date:  2011-11-24       Impact factor: 10.302

Review 2.  New insights into bacterial adaptation through in vivo and in silico experimental evolution.

Authors:  Thomas Hindré; Carole Knibbe; Guillaume Beslon; Dominique Schneider
Journal:  Nat Rev Microbiol       Date:  2012-03-27       Impact factor: 60.633

Review 3.  Mutation--The Engine of Evolution: Studying Mutation and Its Role in the Evolution of Bacteria.

Authors:  Ruth Hershberg
Journal:  Cold Spring Harb Perspect Biol       Date:  2015-09-01       Impact factor: 10.005

4.  Inference for one-step beneficial mutations using next generation sequencing.

Authors:  Andrzej J Wojtowicz; Craig R Miller; Paul Joyce
Journal:  Stat Appl Genet Mol Biol       Date:  2015-02

5.  The anaerobe-specific orange protein complex of Desulfovibrio vulgaris hildenborough is encoded by two divergent operons coregulated by σ54 and a cognate transcriptional regulator.

Authors:  Anouchka Fiévet; Laetitia My; Eric Cascales; Mireille Ansaldi; Sofia R Pauleta; Isabel Moura; Zorah Dermoun; Christophe S Bernard; Alain Dolla; Corinne Aubert
Journal:  J Bacteriol       Date:  2011-04-29       Impact factor: 3.490

6.  Rapid selective sweep of pre-existing polymorphisms and slow fixation of new mutations in experimental evolution of Desulfovibrio vulgaris.

Authors:  Aifen Zhou; Kristina L Hillesland; Zhili He; Wendy Schackwitz; Qichao Tu; Grant M Zane; Qiao Ma; Yuanyuan Qu; David A Stahl; Judy D Wall; Terry C Hazen; Matthew W Fields; Adam P Arkin; Jizhong Zhou
Journal:  ISME J       Date:  2015-04-07       Impact factor: 10.302

Review 7.  Laboratory Evolution of Microbial Interactions in Bacterial Biofilms.

Authors:  Marivic Martin; Theresa Hölscher; Anna Dragoš; Vaughn S Cooper; Ákos T Kovács
Journal:  J Bacteriol       Date:  2016-09-09       Impact factor: 3.490

Review 8.  Genomic investigations of evolutionary dynamics and epistasis in microbial evolution experiments.

Authors:  Elizabeth R Jerison; Michael M Desai
Journal:  Curr Opin Genet Dev       Date:  2015-09-14       Impact factor: 5.578

9.  Experimental evolution of nodule intracellular infection in legume symbionts.

Authors:  Su Hua Guan; Carine Gris; Stéphane Cruveiller; Cécile Pouzet; Lena Tasse; Aurélie Leru; Aline Maillard; Claudine Médigue; Jacques Batut; Catherine Masson-Boivin; Delphine Capela
Journal:  ISME J       Date:  2013-02-21       Impact factor: 10.302

10.  Genome sequences of Brucella melitensis 16M and its two derivatives 16M1w and 16M13w, which evolved in vivo.

Authors:  Yuehua Ke; Xitong Yuan; Yufei Wang; Yaoxia Bai; Jie Xu; Hongbin Song; Liuyu Huang; Zeliang Chen
Journal:  J Bacteriol       Date:  2012-10       Impact factor: 3.490

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