Literature DB >> 25662968

Sulfur isotope fractionation during the evolutionary adaptation of a sulfate-reducing bacterium.

André Pellerin1, Luke Anderson-Trocmé2, Lyle G Whyte3, Grant M Zane4, Judy D Wall4, Boswell A Wing2.   

Abstract

Dissimilatory sulfate reduction is a microbial catabolic pathway that preferentially processes less massive sulfur isotopes relative to their heavier counterparts. This sulfur isotope fractionation is recorded in ancient sedimentary rocks and generally is considered to reflect a phenotypic response to environmental variations rather than to evolutionary adaptation. Modern sulfate-reducing microorganisms isolated from similar environments can exhibit a wide range of sulfur isotope fractionations, suggesting that adaptive processes influence the sulfur isotope phenotype. To date, the relationship between evolutionary adaptation and isotopic phenotypes has not been explored. We addressed this by studying the covariation of fitness, sulfur isotope fractionation, and growth characteristics in Desulfovibrio vulgaris Hildenborough in a microbial evolution experiment. After 560 generations, the mean fitness of the evolved lineages relative to the starting isogenic population had increased by ∼ 17%. After 927 generations, the mean fitness relative to the initial ancestral population had increased by ∼ 20%. Growth rate in exponential phase increased during the course of the experiment, suggesting that this was a primary influence behind the fitness increases. Consistent changes were observed within different selection intervals between fractionation and fitness. Fitness changes were associated with changes in exponential growth rate but changes in fractionation were not. Instead, they appeared to be a response to changes in the parameters that govern growth rate: yield and cell-specific sulfate respiration rate. We hypothesize that cell-specific sulfate respiration rate, in particular, provides a bridge that allows physiological controls on fractionation to cross over to the adaptive realm.
Copyright © 2015, American Society for Microbiology. All Rights Reserved.

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Year:  2015        PMID: 25662968      PMCID: PMC4375314          DOI: 10.1128/AEM.03476-14

Source DB:  PubMed          Journal:  Appl Environ Microbiol        ISSN: 0099-2240            Impact factor:   4.792


  44 in total

1.  Genomic insights into gene regulation of Desulfovibrio vulgaris Hildenborough.

Authors:  Christopher L Hemme; Judy D Wall
Journal:  OMICS       Date:  2004

2.  Effect of the deletion of qmoABC and the promoter-distal gene encoding a hypothetical protein on sulfate reduction in Desulfovibrio vulgaris Hildenborough.

Authors:  Grant M Zane; Huei-che Bill Yen; Judy D Wall
Journal:  Appl Environ Microbiol       Date:  2010-06-25       Impact factor: 4.792

3.  Prey evolution on the time scale of predator-prey dynamics revealed by allele-specific quantitative PCR.

Authors:  Justin R Meyer; Stephen P Ellner; Nelson G Hairston; Laura E Jones; Takehito Yoshida
Journal:  Proc Natl Acad Sci U S A       Date:  2006-06-28       Impact factor: 11.205

4.  Long-term dynamics of adaptation in asexual populations.

Authors:  Michael J Wiser; Noah Ribeck; Richard E Lenski
Journal:  Science       Date:  2013-11-14       Impact factor: 47.728

5.  The incidental response to uniform natural selection.

Authors:  Graham Bell
Journal:  Biol Lett       Date:  2013-05-22       Impact factor: 3.703

6.  Parallel changes in gene expression after 20,000 generations of evolution in Escherichiacoli.

Authors:  Tim F Cooper; Daniel E Rozen; Richard E Lenski
Journal:  Proc Natl Acad Sci U S A       Date:  2003-01-21       Impact factor: 11.205

7.  Building a morbidostat: an automated continuous-culture device for studying bacterial drug resistance under dynamically sustained drug inhibition.

Authors:  Erdal Toprak; Adrian Veres; Sadik Yildiz; Juan M Pedraza; Remy Chait; Johan Paulsson; Roy Kishony
Journal:  Nat Protoc       Date:  2013-02-21       Impact factor: 13.491

8.  Omic data from evolved E. coli are consistent with computed optimal growth from genome-scale models.

Authors:  Nathan E Lewis; Kim K Hixson; Tom M Conrad; Joshua A Lerman; Pep Charusanti; Ashoka D Polpitiya; Joshua N Adkins; Gunnar Schramm; Samuel O Purvine; Daniel Lopez-Ferrer; Karl K Weitz; Roland Eils; Rainer König; Richard D Smith; Bernhard Ø Palsson
Journal:  Mol Syst Biol       Date:  2010-07       Impact factor: 11.429

9.  Effects of iron and nitrogen limitation on sulfur isotope fractionation during microbial sulfate reduction.

Authors:  Min Sub Sim; Shuhei Ono; Tanja Bosak
Journal:  Appl Environ Microbiol       Date:  2012-09-21       Impact factor: 4.792

Review 10.  Genome dynamics during experimental evolution.

Authors:  Jeffrey E Barrick; Richard E Lenski
Journal:  Nat Rev Genet       Date:  2013-10-29       Impact factor: 53.242

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  1 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

  1 in total

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