Literature DB >> 29156423

Under pressure: evolutionary engineering of yeast strains for improved performance in fuels and chemicals production.

Robert Mans1, Jean-Marc G Daran1, Jack T Pronk2.   

Abstract

Evolutionary engineering, which uses laboratory evolution to select for industrially relevant traits, is a popular strategy in the development of high-performing yeast strains for industrial production of fuels and chemicals. By integrating whole-genome sequencing, bioinformatics, classical genetics and genome-editing techniques, evolutionary engineering has also become a powerful approach for identification and reverse engineering of molecular mechanisms that underlie industrially relevant traits. New techniques enable acceleration of in vivo mutation rates, both across yeast genomes and at specific loci. Recent studies indicate that phenotypic trade-offs, which are often observed after evolution under constant conditions, can be mitigated by using dynamic cultivation regimes. Advances in research on synthetic regulatory circuits offer exciting possibilities to extend the applicability of evolutionary engineering to products of yeasts whose synthesis requires a net input of cellular energy.
Copyright © 2017 The Authors. Published by Elsevier Ltd.. All rights reserved.

Entities:  

Mesh:

Substances:

Year:  2017        PMID: 29156423     DOI: 10.1016/j.copbio.2017.10.011

Source DB:  PubMed          Journal:  Curr Opin Biotechnol        ISSN: 0958-1669            Impact factor:   9.740


  30 in total

Review 1.  The emergence of adaptive laboratory evolution as an efficient tool for biological discovery and industrial biotechnology.

Authors:  Troy E Sandberg; Michael J Salazar; Liam L Weng; Bernhard O Palsson; Adam M Feist
Journal:  Metab Eng       Date:  2019-08-08       Impact factor: 9.783

2.  Evolutionary engineering and molecular characterization of a caffeine-resistant Saccharomyces cerevisiae strain.

Authors:  Yusuf Sürmeli; Can Holyavkin; Alican Topaloğlu; Mevlüt Arslan; Halil İbrahim Kısakesen; Zeynep Petek Çakar
Journal:  World J Microbiol Biotechnol       Date:  2019-11-14       Impact factor: 3.312

3.  Evolutionary engineering to improve Wickerhamomyces subpelliculosus and Kazachstania gamospora for baking.

Authors:  Thandiwe Semumu; Amparo Gamero; Teun Boekhout; Nerve Zhou
Journal:  World J Microbiol Biotechnol       Date:  2022-01-28       Impact factor: 3.312

4.  Evolutionary and reverse engineering to increase Saccharomyces cerevisiae tolerance to acetic acid, acidic pH, and high temperature.

Authors:  Prisciluis Caheri Salas-Navarrete; Arturo Iván Montes de Oca Miranda; Alfredo Martínez; Luis Caspeta
Journal:  Appl Microbiol Biotechnol       Date:  2021-12-16       Impact factor: 4.813

Review 5.  How adaptive laboratory evolution can boost yeast tolerance to lignocellulosic hydrolyses.

Authors:  Yasmine Alves Menegon; Jeferson Gross; Ana Paula Jacobus
Journal:  Curr Genet       Date:  2022-04-01       Impact factor: 2.695

6.  Growth-uncoupled isoprenoid synthesis in Rhodobacter sphaeroides.

Authors:  Enrico Orsi; Ioannis Mougiakos; Wilbert Post; Jules Beekwilder; Marco Dompè; Gerrit Eggink; John van der Oost; Servé W M Kengen; Ruud A Weusthuis
Journal:  Biotechnol Biofuels       Date:  2020-07-13       Impact factor: 6.040

7.  Adaptation of Saccharomyces cerevisiae in a concentrated spent sulphite liquor waste stream for increased inhibitor resistance.

Authors:  Bianca A Brandt; María P García-Aparicio; Johann F Görgens; Willem H van Zyl
Journal:  Appl Microbiol Biotechnol       Date:  2021-12-06       Impact factor: 4.813

8.  Unlocking the functional potential of polyploid yeasts.

Authors:  Simone Mozzachiodi; Kristoffer Krogerus; Brian Gibson; Alain Nicolas; Gianni Liti
Journal:  Nat Commun       Date:  2022-05-11       Impact factor: 17.694

9.  Stress-induced expression is enriched for evolutionarily young genes in diverse budding yeasts.

Authors:  Tyler W Doughty; Iván Domenzain; Aaron Millan-Oropeza; Noemi Montini; Philip A de Groot; Rui Pereira; Jens Nielsen; Céline Henry; Jean-Marc G Daran; Verena Siewers; John P Morrissey
Journal:  Nat Commun       Date:  2020-05-01       Impact factor: 14.919

Review 10.  Selecting the Best: Evolutionary Engineering of Chemical Production in Microbes.

Authors:  Denis Shepelin; Anne Sofie Lærke Hansen; Rebecca Lennen; Hao Luo; Markus J Herrgård
Journal:  Genes (Basel)       Date:  2018-05-11       Impact factor: 4.096

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.