Unknown,Transcriptomics,Genomics,Proteomics

Dataset Information

Determinants of divergent adaptation and Dobzhansky-Muller interaction in experimental yeast populations

ABSTRACT: Divergent adaptation can be associated with reproductive isolation in the process of speciation. We recently demonstrated the link between divergent adaptation and the onset of reproductive isolation in experimental populations of the yeast Saccharomyces cerevisiae evolved from a single progenitor in either a high-salt or a low-glucose environment. However, the genetic basis for adaptation and reproductive isolation remained unknown in this system. Here, we use whole-genome re-sequencing of representatives of three populations to identify 15 candidate mutations, six of which explained the adaptive increases in mitotic fitness in the two environments. In two populations evolved in high salt, two different mutations occurred in the proton efflux pump gene PMA1 and the global transcriptional repressor gene CYC8; the ENA genes encoding sodium efflux pumps were over-expressed once through expansion of this gene cluster and once as a result of the mutation in the regulator CYC8. In the population from low glucose, one mutation occurred in MDS3, which modulates growth at high pH, and one in MKT1, a global regulator of mRNAs encoding mitochondrial proteins, the latter recapitulating a naturally-occurring variant. A Dobzhansky-Muller (DM) incompatibility between the evolved alleles of PMA1 and MKT1 strongly depressed fitness in the low-glucose environment. This DM interaction is the first reported between experimentally evolved alleles of known genes and shows how reproductive isolation can arise rapidly when divergent selection is strong. Evolved and progenitor strains were grown in stressed and unstressed conditions to identify role of mutations in gene expression.

ORGANISM(S): Saccharomyces cerevisiae

SUBMITTER: Jason Funt

PROVIDER: E-GEOD-20943 | biostudies-arrayexpress |

REPOSITORIES: biostudies-arrayexpress

ACCESS DATA

Publications

Determinants of divergent adaptation and Dobzhansky-Muller interaction in experimental yeast populations.

Anderson James B JB Funt Jason J Thompson Dawn Anne DA Prabhu Snehit S Socha Amanda A Sirjusingh Caroline C Dettman Jeremy R JR Parreiras Lucas L Guttman David S DS Regev Aviv A Kohn Linda M LM

Current biology : CB 20100715 15

Divergent adaptation can be associated with reproductive isolation in speciation [1]. We recently demonstrated the link between divergent adaptation and the onset of reproductive isolation in experimental populations of the yeast Saccharomyces cerevisiae evolved from a single progenitor in either a high-salt or a low-glucose environment [2]. Here, whole-genome resequencing and comparative genome hybridization of representatives of three populations revealed 17 mutations, six of which explained t ...[more]

PMID: 20637622

Similar Datasets

Project description:In some of the earliest uses of genome-wide gene-expression microarrays and array-based Comparative Genomic Hybridization (aCGH), a set of diploid yeasts that had undergone experimental evolution under aerobic glucose limitation was used to explore how gene expression and genome structure had responded to this selection pressure. To more deeply understand how adaptation to one environment might constrain or enhance performance in another we have now identified the adaptive mutations in this set of clones using whole-genome sequencing, and have assessed whether the evolved clones had become generalists or specialists by assaying their fitness under three contrasting growth environments: aerobic and anaerobic glucose limitation and aerobic acetate limitation. Additionally, evolved clones and their common ancestor were assayed for gene expression, biomass estimates and residual substrate levels under the alternative growth conditions. Relative fitnesses were evaluated by competing each clone against a common reference strain in each environment. Unexpectedly, we found that the evolved clones also outperformed their ancestor under strictly fermentative and strictly oxidative growth conditions. We conclude that yeasts evolving under aerobic glucose limitation become generalists for carbon limitation, as the mutations selected for in one environment are advantageous in others. High-throughput sequencing of the evolved clones uncovered mutations in genes involved in glucose sensing, signaling, and transport that in part explain these physiological phenotypes, with different sets of mutations found in independently-evolved clones. Earlier gene expression data from aerobic glucose-limited cultures had revealed a shift from fermentation towards respiration in all evolved clones explaining increased fitness in that condition. However, because the evolved clones also show higher fitness under strictly anaerobic conditions and under conditions requiring strictly respirative growth, this switch cannot be the sole source of adaptive benefit. Furthermore, because independently evolved clones are genetically distinct we conclude that there are multiple mutational paths leading to the generalist phenotype. Strain Name: Parental strain (CP1AB) or evolved clones (E1 - E5) Media: aerobic / anaerobic 36 hybridizations

Project description:Prolonged cultivation of Saccharomyces cerevisiae in aerobic, glucose-limited chemostat cultures (dilution rate, 0Â·10 hâ1) resulted in a progressive decrease of the residual glucose concentration (from 20 to 8 mg lâ1 after 200 generations). This increase in the affinity for glucose was accompanied by a fivefold decrease of fermentative capacity, and changes in cellular morphology. These phenotypic changes were retained when single-cell isolates from prolonged cultures were used to inoculate fresh chemostat cultures, indicating that genetic changes were involved. Kinetic analysis of glucose transport in an âevolvedâ strain revealed a decreased Km, while Vmax was slightly increased relative to the parental strain. Apparently, fermentative capacity in the evolved strain was not controlled by glucose uptake. Instead, enzyme assays in cell extracts of the evolved strain revealed strongly decreased capacities of enzymes in the lower part of glycolysis. This decrease was corroborated by genome-wide transcriptome analysis using DNA microarrays. In aerobic batch cultures on 20 g glucose lâ1, the specific growth rate of the evolved strain was lower than that of the parental strain (0Â·28 and 0Â·37 hâ1, respectively). Instead of the characteristic instantaneous production of ethanol that is observed when aerobic, glucose-limited cultures of wild-type S. cerevisiae are exposed to excess glucose, the evolved strain exhibited a delay of 90 min before aerobic ethanol formation set in. This study demonstrates that the effects of selection in glucose-limited chemostat cultures extend beyond glucose-transport kinetics. Although extensive physiological analysis offered insight into the underlying cellular processes, the evolutionary âdriving forceâ for several of the observed changes remains to be elucidated Experiment Overall Design: A crucial feature of bakers' yeast is its capacity to produce CO2, referred to as fermentative capacity (van Hoek et al., 1998). After prolonged glucose-limited cultivation of S. cerevisiae, in addition to an increased affinity for glucose, we observed a dramatic decrease in fermentative capacity. Consequently, the aim of the present study was to perform an integral analysis of the long-term adaptation of S. cerevisiae during prolonged glucose-limited, aerobic cultivation in chemostat cultures, with special emphasis on the regulation of glucose transport and glycolytic capacity. To this end, we applied an integrated approach that combined transcriptome analysis, measurement of fermentative capacity and activities of glucose transport and glycolytic enzymes, and characterization of cellular morphology.

Dataset Information

Determinants of divergent adaptation and Dobzhansky-Muller interaction in experimental yeast populations

Publications

Determinants of divergent adaptation and Dobzhansky-Muller interaction in experimental yeast populations.

Similar Datasets

OmicsDI is part of the ELIXIR infrastructure

Tweets