The genetics of gene expression in a Caenorhabditis elegans multiparental recombinant inbred line population

Author:

Snoek Basten L12,Sterken Mark G1ORCID,Nijveen Harm3ORCID,Volkers Rita J M1,Riksen Joost1,Rosenstiel Philip C45,Schulenburg Hinrich67ORCID,Kammenga Jan E1

Affiliation:

1. Laboratory of Nematology, Wageningen University, NL-6708 PB Wageningen, The Netherlands

2. Theoretical Biology and Bioinformatics, Utrecht University, 3584 CH Utrecht, The Netherlands

3. Bioinformatics Group, Wageningen University, NL-6708 PB Wageningen, The Netherlands

4. Institute for Clinical Molecular Biology, University of Kiel, 24098 Kiel, Germany

5. Competence Centre for Genomic Analysis (CCGA) Kiel, University of Kiel, 24098 Kiel, Germany

6. Zoological Institute, University of Kiel, 24098 Kiel, Germany

7. Max Planck Institute for Evolutionary Biology, 24306 Ploen, Germany

Abstract

Abstract Studying genetic variation of gene expression provides a powerful way to unravel the molecular components underlying complex traits. Expression quantitative trait locus (eQTL) studies have been performed in several different model species, yet most of these linkage studies have been based on the genetic segregation of two parental alleles. Recently, we developed a multiparental segregating population of 200 recombinant inbred lines (mpRILs) derived from four wild isolates (JU1511, JU1926, JU1931, and JU1941) in the nematode Caenorhabditis elegans. We used RNA-seq to investigate how multiple alleles affect gene expression in these mpRILs. We found 1789 genes differentially expressed between the parental lines. Transgression, expression beyond any of the parental lines in the mpRILs, was found for 7896 genes. For expression QTL mapping almost 9000 SNPs were available. By combining these SNPs and the RNA-seq profiles of the mpRILs, we detected almost 6800 eQTLs. Most trans-eQTLs (63%) co-locate in six newly identified trans-bands. The trans-eQTLs found in previous two-parental allele eQTL experiments and this study showed some overlap (17.5–46.8%), highlighting on the one hand that a large group of genes is affected by polymorphic regulators across populations and conditions, on the other hand, it shows that the mpRIL population allows identification of novel gene expression regulatory loci. Taken together, the analysis of our mpRIL population provides a more refined insight into C. elegans complex trait genetics and eQTLs in general, as well as a starting point to further test and develop advanced statistical models for detection of multiallelic eQTLs and systems genetics studying the genotype–phenotype relationship.

Funder

Deutsche Forschungsgemeinschaft

DFG

National Institutes of Health

NIH

Netherlands Organisation for Scientific Research

Publisher

Oxford University Press (OUP)

Subject

Genetics (clinical),Genetics,Molecular Biology

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