Literature DB >> 2009380

Quantifying fitness and gene stability in microorganisms.

R E Lenski.   

Abstract

Fitness represents the combined effects of all other phenotypic properties on the capacity for survival and reproduction by a particular genotype in a particular environment. For most environmental application of genetically modified microorganisms, efficacy will be enhanced if the engineered genotype is more fit than its wild-type counterpart in the target environment. However, inadvertent spread of the engineered genotype will be less likely if it is less fit than the wild-type. Thus, the fate of a population of genetically engineered microorganisms, and the likelihood and magnitude of any environmental effects (whether beneficial or detrimental), will be strongly influenced by the relative fitnesses of modified and unmodified genotypes. In this chapter, I have presented theoretical principles and empirical methods for determining the relative fitnesses of engineered and wild-type clones. Selection coefficients were used to provide a quantitative measure of the difference in fitness between the two clones in a particular environment. Many engineered genotypes are unstable, such that their frequencies decline with time. Instability may be caused by infidelity of replication or transmission of a particular gene (which is termed segregation), or it may be caused by a difference in the fitness of genotypes that retain or have lost that gene (selection). In this chapter, I have also presented theoretical principles and empirical methods for distinguishing the effects of selection and segregation. Finally, it should be emphasized that selection coefficients and segregation rates can be estimated not only in highly simplified laboratory systems, but also in more complex natural or semi-natural systems, such as microcosms. All that is required is the ability to monitor the relative abundance of two clones (e.g., engineered and wild-type) that share a common environment.

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Year:  1991        PMID: 2009380     DOI: 10.1016/b978-0-409-90199-3.50015-2

Source DB:  PubMed          Journal:  Biotechnology        ISSN: 0740-7378


  44 in total

1.  Fitness analyses of all possible point mutations for regions of genes in yeast.

Authors:  Ryan Hietpas; Benjamin Roscoe; Li Jiang; Daniel N A Bolon
Journal:  Nat Protoc       Date:  2012-06-21       Impact factor: 13.491

Review 2.  Antibiotic resistance and its cost: is it possible to reverse resistance?

Authors:  Dan I Andersson; Diarmaid Hughes
Journal:  Nat Rev Microbiol       Date:  2010-03-08       Impact factor: 60.633

3.  Experimental illumination of a fitness landscape.

Authors:  Ryan T Hietpas; Jeffrey D Jensen; Daniel N A Bolon
Journal:  Proc Natl Acad Sci U S A       Date:  2011-04-04       Impact factor: 11.205

4.  Cooperation and cheating in Pseudomonas aeruginosa: the roles of the las, rhl and pqs quorum-sensing systems.

Authors:  Cara N Wilder; Stephen P Diggle; Martin Schuster
Journal:  ISME J       Date:  2011-03-03       Impact factor: 10.302

5.  Coevolution with bacteriophages drives genome-wide host evolution and constrains the acquisition of abiotic-beneficial mutations.

Authors:  Pauline D Scanlan; Alex R Hall; Gordon Blackshields; Ville-P Friman; Michael R Davis; Joanna B Goldberg; Angus Buckling
Journal:  Mol Biol Evol       Date:  2015-02-12       Impact factor: 16.240

6.  Global Regulatory Roles of the Histidine-Responsive Transcriptional Repressor HutC in Pseudomonas fluorescens SBW25.

Authors:  Naran Naren; Xue-Xian Zhang
Journal:  J Bacteriol       Date:  2020-06-09       Impact factor: 3.490

7.  Genetic analysis of the histidine utilization (hut) genes in Pseudomonas fluorescens SBW25.

Authors:  Xue-Xian Zhang; Paul B Rainey
Journal:  Genetics       Date:  2007-08       Impact factor: 4.562

8.  The birth of a bacterial tRNA gene by large-scale, tandem duplication events.

Authors:  Gökçe B Ayan; Hye Jin Park; Jenna Gallie
Journal:  Elife       Date:  2020-10-30       Impact factor: 8.140

9.  Haemophilus influenzae clinical isolates with plasmid pB1000 bearing blaROB-1: fitness cost and interspecies dissemination.

Authors:  Alvaro San Millan; Silvia Garcia-Cobos; Jose Antonio Escudero; Laura Hidalgo; Belen Gutierrez; Laura Carrilero; Jose Campos; Bruno Gonzalez-Zorn
Journal:  Antimicrob Agents Chemother       Date:  2010-01-19       Impact factor: 5.191

10.  Contribution of the Regulatory Gene lemA to Field Fitness of Pseudomonas syringae pv. syringae.

Authors:  S S Hirano; E M Ostertag; S A Savage; L S Baker; D K Willis; C D Upper
Journal:  Appl Environ Microbiol       Date:  1997-11       Impact factor: 4.792

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