Dataset Information

A genomic bias for genotype-environment interactions in C. elegans.

ABSTRACT: The phenotype of an organism is determined by its genotype and environment. An interaction between these two arises from the differential effect of the environment on gene expression in distinct genotypes; however, the genomic properties identifying these are not well understood. Here we analyze the transcriptomes of five C. elegans strains (genotype) cultivated in five growth conditions (environment), and find that highly regulated genes, as distinguished by intergenic lengths, motif concentration, and expression levels, are particularly biased toward genotype-environment interactions. Sequencing these strains, we find that genes with expression variation across genotypes are enriched for promoter single-nucleotide polymorphisms (SNPs), as expected. However, genes with genotype-environment interactions do not significantly differ from background in terms of their promoter SNPs. Collectively, these results indicate that the highly regulated nature of particular genes predispose them for exhibiting genotype-environment interaction as a consequence of changes to upstream regulators. This observation may provide a deeper understanding into the origin of the extraordinary gene expression diversity present in even closely related species.

SUBMITTER: Grishkevich V

PROVIDER: S-EPMC3397417 | biostudies-literature | 2012

REPOSITORIES: biostudies-literature

ACCESS DATA

Publications

A genomic bias for genotype-environment interactions in C. elegans.

Grishkevich Vladislav V Ben-Elazar Shay S Hashimshony Tamar T Schott Daniel H DH Hunter Craig P CP Yanai Itai I

Molecular systems biology 20120605

The phenotype of an organism is determined by its genotype and environment. An interaction between these two arises from the differential effect of the environment on gene expression in distinct genotypes; however, the genomic properties identifying these are not well understood. Here we analyze the transcriptomes of five C. elegans strains (genotype) cultivated in five growth conditions (environment), and find that highly regulated genes, as distinguished by intergenic lengths, motif concentrat ...[more]

PMID: 22669615

Similar Datasets

Project description:BackgroundFamily-based selective breeding programs typically employ both between-family and within-family selection in aquaculture. However, these programs may exhibit a reduced genetic gain in the presence of a genotype by environment interactions (G × E) when employing biosecurity-based breeding schemes (BS), compared to non-biosecurity-based breeding schemes (NBS). Fortunately, genomic selection shows promise in improving genetic gain by taking within-family variance into account. Stochastic simulation was employed to evaluate genetic gain and G × E trends in BS for improving the body weight of L. vannamei, considering selective genotyping strategies for test group (TG) at a commercial farm environment (CE), the number individuals of the selection group (SG) genotyped at nucleus breeding center (NE), and varying levels of G × E.ResultsThe loss of genetic gain in BS ranged from 9.4 to 38.9% in pedigree-based selection and was more pronounced when G × E was stronger, as quantified by a lower genetic correlation for body weight between NE and CE. Genomic selection, particularly with selective genotyping of TG individuals with extreme performance, effectively offset the loss of genetic gain. With a genetic correlation of 0.8, genotyping 20 SG individuals in each candidate family achieved 93.2% of the genetic gain observed for NBS. However, when the genetic correlation fell below 0.5, the number of genotyped SG individuals per family had to be increased to 50 or more. Genetic gain improved by on average 9.4% when the number of genotyped SG individuals rose from 20 to 50, but the increase in genetic gain averaged only 2.4% when expanding from 50 to 80 individuals genotyped. In addition, the genetic correlation decreased by on average 0.13 over 30 generations of selection when performing BS and the genetic correlation fluctuated across generations.ConclusionsGenomic selection can effectively compensate for the loss of genetic gain in BS due to G × E. However, the number of genotyped SG individuals and the level of G × E significantly affected the extra genetic gain from genomic selection. A family-based BS selective breeding program should monitor the level of G × E and genotyping 50 SG individuals per candidate family to minimize the loss of genetic gain due to G × E, unless the level of G × E is confirmed to be low.

Dataset Information

A genomic bias for genotype-environment interactions in C. elegans.

Publications

A genomic bias for genotype-environment interactions in C. elegans.

Similar Datasets

OmicsDI is part of the ELIXIR infrastructure

Tweets