Literature DB >> 30598529

The dynamics of adaptive genetic diversity during the early stages of clonal evolution.

Jamie R Blundell1,2,3, Katja Schwartz4, Danielle Francois5, Daniel S Fisher6, Gavin Sherlock4, Sasha F Levy7,8,9,10,11.   

Abstract

The dynamics of genetic diversity in large clonally evolving cell populations are poorly understood, despite having implications for the treatment of cancer and microbial infections. Here, we combine barcode lineage tracking, sequencing of adaptive clones and mathematical modelling of mutational dynamics to understand adaptive diversity changes during experimental evolution of Saccharomyces cerevisiae under nitrogen and carbon limitation. We find that, despite differences in beneficial mutational mechanisms and fitness effects, early adaptive genetic diversity increases predictably, driven by the expansion of many single-mutant lineages. However, a crash in adaptive diversity follows, caused by highly fit double-mutant 'jackpot' clones that are fed from exponentially growing single mutants, a process closely related to the classic Luria-Delbrück experiment. The diversity crash is likely to be a general feature of asexual evolution with clonal interference; however, both its timing and magnitude are stochastic and depend on the population size, the distribution of beneficial fitness effects and patterns of epistasis.

Entities:  

Mesh:

Year:  2018        PMID: 30598529      PMCID: PMC6517070          DOI: 10.1038/s41559-018-0758-1

Source DB:  PubMed          Journal:  Nat Ecol Evol        ISSN: 2397-334X            Impact factor:   15.460


  14 in total

Review 1.  Experimental Studies of Evolutionary Dynamics in Microbes.

Authors:  Ivana Cvijović; Alex N Nguyen Ba; Michael M Desai
Journal:  Trends Genet       Date:  2018-07-17       Impact factor: 11.639

2.  Overdominant and partially dominant mutations drive clonal adaptation in diploid Saccharomyces cerevisiae.

Authors:  Dimitra Aggeli; Daniel A Marad; Xianan Liu; Sean W Buskirk; Sasha F Levy; Gregory I Lang
Journal:  Genetics       Date:  2022-05-31       Impact factor: 4.402

3.  Chromosomal barcoding of E. coli populations reveals lineage diversity dynamics at high resolution.

Authors:  Weronika Jasinska; Michael Manhart; Jesse Lerner; Louis Gauthier; Adrian W R Serohijos; Shimon Bershtein
Journal:  Nat Ecol Evol       Date:  2020-02-24       Impact factor: 15.460

Review 4.  Baker's Yeast Clinical Isolates Provide a Model for How Pathogenic Yeasts Adapt to Stress.

Authors:  Vandana Raghavan; Charles F Aquadro; Eric Alani
Journal:  Trends Genet       Date:  2019-09-13       Impact factor: 11.639

Review 5.  Microbial Experimental Evolution - a proving ground for evolutionary theory and a tool for discovery.

Authors:  Michael J McDonald
Journal:  EMBO Rep       Date:  2019-07-24       Impact factor: 8.807

6.  A High-Resolution View of Adaptive Event Dynamics in a Plasmid.

Authors:  Han Mei; Barbara Arbeithuber; Marzia A Cremona; Michael DeGiorgio; Anton Nekrutenko
Journal:  Genome Biol Evol       Date:  2019-10-01       Impact factor: 3.416

7.  Bacterial adaptation is constrained in complex communities.

Authors:  Thomas Scheuerl; Meirion Hopkins; Reuben W Nowell; Damian W Rivett; Timothy G Barraclough; Thomas Bell
Journal:  Nat Commun       Date:  2020-02-06       Impact factor: 14.919

8.  Evolutionary dynamics and structural consequences of de novo beneficial mutations and mutant lineages arising in a constant environment.

Authors:  Margie Kinnersley; Katja Schwartz; Dong-Dong Yang; Gavin Sherlock; Frank Rosenzweig
Journal:  BMC Biol       Date:  2021-02-04       Impact factor: 7.431

9.  The population genetics of collateral resistance and sensitivity.

Authors:  Sarah M Ardell; Sergey Kryazhimskiy
Journal:  Elife       Date:  2021-12-10       Impact factor: 8.140

10.  PhenoMIP: High-Throughput Phenotyping of Diverse Caenorhabditis elegans Populations via Molecular Inversion Probes.

Authors:  Calvin Mok; Gabriella Belmarez; Mark L Edgley; Donald G Moerman; Robert H Waterston
Journal:  G3 (Bethesda)       Date:  2020-11-05       Impact factor: 3.154

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