bioRxivGeneticsPreprint
A multi-parent recombinant inbred line population of Caenorhabditis elegans enhances mapping resolution and identification of novel QTLs for complex life-history traits
Basten L. SnoekiD, Rita J. M. VolkersiD, Harm NijveeniD, Carola PeterseniD, Philipp DirkseniD, Mark G. SterkeniD, Rania Nakad, Joost A. G. RikseniD, Philip C RosenstieliD, Jana J. StastnaiD, Bart P. BraeckmaniD, Simon Crawford HarveyiD, Hinrich Schulenburg YiD, Jan E. KammengaiD
Abstract
Local populations of the bacterivorous nematode Caenorhabditis elegans can be genetically almost as diverse as global populations. To investigate the effect of local genetic variation on heritable traits, we developed a new recombinant inbred line (RIL) population derived from four wild isolates. The wild isolates were collected from two closely located sites in France: Orsay and Santeuil. By crossing these four genetically diverse parental isolates a population of 200 RILs was constructed. RNA-seq was used to obtain sequence polymorphisms identifying almost 9000 SNPs variable between the four genotypes with an average spacing of 11 kb, possibly doubling the mapping resolution relative to currently available RIL panels. The SNPs were used to construct a genetic map to facilitate QTL analysis. Life history traits, such as lifespan, stress resistance, developmental speed and population growth were measured in different environments. For most traits substantial variation was found, and multiple QTLs could be detected, including novel QTLs not found in previous QTL analysis, for example for lifespan or pathogen responses. This shows that recombining genetic variation across C. elegans populations that are in geographical close proximity provides ample variation for QTL mapping. Taken together, we show that RNA-seq can be used for genotyping, that using more parents than the classical two parental genotypes to construct a RIL population facilitates the detection of QTLs and that the use of wild isolates permits analysis of local adaptation and life history trade-offs.
- organism: C. elegans
- assay: whole-genome sequencing
- research focus: GWAS / association mapping
- approach: statistical model
- Citations
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