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      Experimental Evolution of Escherichia coli K-12 at High pH and with RpoS Induction

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          ABSTRACT

          Experimental evolution of Escherichia coli K-12 W3110 by serial dilutions for 2,200 generations at high pH extended the range of sustained growth from pH 9.0 to pH 9.3. pH 9.3-adapted isolates showed mutations in DNA-binding regulators and envelope proteins. One population showed an IS 1 knockout of phoB (encoding the positive regulator of the phosphate regulon). A phoB:: kanR knockout increased growth at high pH. phoB mutants are known to increase production of fermentation acids, which could enhance fitness at high pH. Mutations in pcnB [poly(A) polymerase] also increased growth at high pH. Three out of four populations showed deletions of torI, an inhibitor of TorR, which activates expression of torCAD (trimethylamine N-oxide respiration) at high pH. All populations showed point mutations affecting the stationary-phase sigma factor RpoS, either in the coding gene or in genes for regulators of RpoS expression. RpoS is required for survival at extremely high pH. In our microplate assay, rpoS deletion slightly decreased growth at pH 9.1. RpoS protein accumulated faster at pH 9 than at pH 7. The RpoS accumulation at high pH required the presence of one or more antiadaptors that block degradation (IraM, IraD, and IraP). Other genes with mutations after high-pH evolution encode regulators, such as those encoded by yobG ( mgrB) (PhoPQ regulator), rpoN (nitrogen starvation sigma factor), malI, and purR, as well as envelope proteins, such as those encoded by ompT and yahO. Overall, E. coli evolution at high pH selects for mutations in key transcriptional regulators, including phoB and the stationary-phase sigma factor RpoS.

          IMPORTANCE Escherichia coli in its native habitat encounters high-pH stress such as that of pancreatic secretions. Experimental evolution over 2,000 generations showed selection for mutations in regulatory factors, such as deletion of the phosphate regulator PhoB and mutations that alter the function of the global stress regulator RpoS. RpoS is induced at high pH via multiple mechanisms.

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          Identification of mutations in laboratory-evolved microbes from next-generation sequencing data using breseq.

          Next-generation DNA sequencing (NGS) can be used to reconstruct eco-evolutionary population dynamics and to identify the genetic basis of adaptation in laboratory evolution experiments. Here, we describe how to run the open-source breseq computational pipeline to identify and annotate genetic differences found in whole-genome and whole-population NGS data from haploid microbes where a high-quality reference genome is available. These methods can also be used to analyze mutants isolated in genetic screens and to detect unintended mutations that may occur during strain construction and genome editing.
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            Historical contingency and the evolution of a key innovation in an experimental population of Escherichia coli.

            The role of historical contingency in evolution has been much debated, but rarely tested. Twelve initially identical populations of Escherichia coli were founded in 1988 to investigate this issue. They have since evolved in a glucose-limited medium that also contains citrate, which E. coli cannot use as a carbon source under oxic conditions. No population evolved the capacity to exploit citrate for >30,000 generations, although each population tested billions of mutations. A citrate-using (Cit+) variant finally evolved in one population by 31,500 generations, causing an increase in population size and diversity. The long-delayed and unique evolution of this function might indicate the involvement of some extremely rare mutation. Alternately, it may involve an ordinary mutation, but one whose physical occurrence or phenotypic expression is contingent on prior mutations in that population. We tested these hypotheses in experiments that "replayed" evolution from different points in that population's history. We observed no Cit+ mutants among 8.4 x 10(12) ancestral cells, nor among 9 x 10(12) cells from 60 clones sampled in the first 15,000 generations. However, we observed a significantly greater tendency for later clones to evolve Cit+, indicating that some potentiating mutation arose by 20,000 generations. This potentiating change increased the mutation rate to Cit+ but did not cause generalized hypermutability. Thus, the evolution of this phenotype was contingent on the particular history of that population. More generally, we suggest that historical contingency is especially important when it facilitates the evolution of key innovations that are not easily evolved by gradual, cumulative selection.
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              Recombineering: a homologous recombination-based method of genetic engineering.

              Recombineering is an efficient method of in vivo genetic engineering applicable to chromosomal as well as episomal replicons in Escherichia coli. This method circumvents the need for most standard in vitro cloning techniques. Recombineering allows construction of DNA molecules with precise junctions without constraints being imposed by restriction enzyme site location. Bacteriophage homologous recombination proteins catalyze these recombineering reactions using double- and single-stranded linear DNA substrates, so-called targeting constructs, introduced by electroporation. Gene knockouts, deletions and point mutations are readily made, gene tags can be inserted and regions of bacterial artificial chromosomes or the E. coli genome can be subcloned by gene retrieval using recombineering. Most of these constructs can be made within about 1 week's time.
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                Author and article information

                Journal
                Applied and Environmental Microbiology
                Appl Environ Microbiol
                American Society for Microbiology
                0099-2240
                1098-5336
                August 01 2018
                July 17 2018
                May 25 2018
                : 84
                : 15
                Article
                10.1128/AEM.00520-18
                6052260
                29802191
                ead1b7a8-7aac-4d05-97c2-1d91f5484a45
                © 2018
                History

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