Literature DB >> 26202939

Experimental evolution of the model eukaryote Saccharomyces cerevisiae yields insight into the molecular mechanisms underlying adaptation.

Karin Voordeckers1, Kevin J Verstrepen2.   

Abstract

Understanding how changes in DNA drive the emergence of new phenotypes and fuel evolution remains a major challenge. One major hurdle is the lack of a fossil record of DNA that allows linking mutations to phenotypic changes. However, the emergence of high-throughput sequencing technologies now allows sequencing genomes of natural and experimentally evolved microbial populations to study how mutations arise and spread through a population, how new phenotypes arise and how this ultimately leads to adaptation. Here, we highlight key studies that have increased our mechanistic understanding of evolution. We specifically focus on the model eukaryote Saccharomyces cerevisiae because its relatively short replication time, much-studied biology and available molecular toolbox have made it a prime model for molecular evolution studies.
Copyright © 2015 The Authors. Published by Elsevier Ltd.. All rights reserved.

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Year:  2015        PMID: 26202939     DOI: 10.1016/j.mib.2015.06.018

Source DB:  PubMed          Journal:  Curr Opin Microbiol        ISSN: 1369-5274            Impact factor:   7.934


  14 in total

Review 1.  Experimental Design, Population Dynamics, and Diversity in Microbial Experimental Evolution.

Authors:  Bram Van den Bergh; Toon Swings; Maarten Fauvart; Jan Michiels
Journal:  Microbiol Mol Biol Rev       Date:  2018-07-25       Impact factor: 11.056

2.  Development of a Comprehensive Genotype-to-Fitness Map of Adaptation-Driving Mutations in Yeast.

Authors:  Sandeep Venkataram; Barbara Dunn; Yuping Li; Atish Agarwala; Jessica Chang; Emily R Ebel; Kerry Geiler-Samerotte; Lucas Hérissant; Jamie R Blundell; Sasha F Levy; Daniel S Fisher; Gavin Sherlock; Dmitri A Petrov
Journal:  Cell       Date:  2016-09-01       Impact factor: 41.582

3.  Genetically controlled mtDNA deletions prevent ROS damage by arresting oxidative phosphorylation.

Authors:  Simon Stenberg; Jing Li; Arne B Gjuvsland; Karl Persson; Erik Demitz-Helin; Carles González Peña; Jia-Xing Yue; Ciaran Gilchrist; Timmy Ärengård; Payam Ghiaci; Lisa Larsson-Berglund; Martin Zackrisson; Silvana Smits; Johan Hallin; Johanna L Höög; Mikael Molin; Gianni Liti; Stig W Omholt; Jonas Warringer
Journal:  Elife       Date:  2022-07-08       Impact factor: 8.713

4.  Automated multiplex genome-scale engineering in yeast.

Authors:  Tong Si; Ran Chao; Yuhao Min; Yuying Wu; Wen Ren; Huimin Zhao
Journal:  Nat Commun       Date:  2017-05-04       Impact factor: 14.919

5.  Experimental Evolution Reveals Favored Adaptive Routes to Cell Aggregation in Yeast.

Authors:  Elyse A Hope; Clara J Amorosi; Aaron W Miller; Kolena Dang; Caiti Smukowski Heil; Maitreya J Dunham
Journal:  Genetics       Date:  2017-04-26       Impact factor: 4.562

Review 6.  Industrial Relevance of Chromosomal Copy Number Variation in Saccharomyces Yeasts.

Authors:  Arthur R Gorter de Vries; Jack T Pronk; Jean-Marc G Daran
Journal:  Appl Environ Microbiol       Date:  2017-05-17       Impact factor: 4.792

7.  SCRaMbLEing to understand and exploit structural variation in genomes.

Authors:  Jan Steensels; Anton Gorkovskiy; Kevin J Verstrepen
Journal:  Nat Commun       Date:  2018-05-22       Impact factor: 14.919

8.  A double helical motif in OCIAD2 is essential for its localization, interactions and STAT3 activation.

Authors:  Saloni Sinha; Venkata Anudeep Bheemsetty; Maneesha S Inamdar
Journal:  Sci Rep       Date:  2018-05-09       Impact factor: 4.379

9.  Evolution of a Yeast With Industrial Background Under Winemaking Conditions Leads to Diploidization and Chromosomal Copy Number Variation.

Authors:  Ana Mangado; Pilar Morales; Ramon Gonzalez; Jordi Tronchoni
Journal:  Front Microbiol       Date:  2018-08-03       Impact factor: 5.640

Review 10.  Comprehensive History of CSP Genes: Evolution, Phylogenetic Distribution and Functions.

Authors:  Guoxia Liu; Ning Xuan; Balaji Rajashekar; Philippe Arnaud; Bernard Offmann; Jean-François Picimbon
Journal:  Genes (Basel)       Date:  2020-04-10       Impact factor: 4.096

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