Over the past forty years, an amazing amount of research has been performed on a single C. elegans strain: N2. This strain may have gone through as many as 1000 generations (over 16 years) before long-term storage was discovered (1). During that time, N2 likely accumulated many mutations through selection in the laboratory. We know of at least two genes that are affected by laboratory-derived mutations,
npr-1 and
glb-5, which regulate an oxygen avoidance behavior in the presence of food (1). Not only is the N2 strain easier to pick and propagate, as clumping, bordering, and burrowing are highly reduced, but we will present evidence that it grows larger, has more offspring, crawls faster, and is more resistant to pathogen infection than wild C. elegans strains because of the lab-derived allele of
npr-1. We mapped quantitative trait loci (QTL) for each of these traits using an advanced intercross recombinant inbred line (RIAIL) collection between N2 and the wild isolate from Hawaii CB4856. Additionally, we mapped thousands of gene expression differences between these two strains to QTL overlapping
npr-1. We will present data that suggest
npr-1 is the causal gene for many of these traits, using nearly isogenic lines (NILs) and loss-of-function alleles, and the growth and physiological differences are caused by the
npr-1-mediated oxygen avoidance behaviors.
We are interested in identifying natural variants between C. elegans strains for a variety of phenotypic traits. Nevertheless,
npr-1 makes complex trait mapping more difficult, as it explains the majority of the genetic trait variance for crosses involving N2. To circumvent the laboratory-derived
npr-1 allele, we constructed a collection of 359 RIAILs using CB4856 and a nearly isogenic line that has the normal form of
npr-1 in an otherwise N2 background. However, this NIL with corrected
npr-1 has other N2-specific laboratory-derived mutations, so using high-throughput selective sequencing, we have identified the most divergent C. elegans strains for use in future quantitative genetic studies. Because assays on agar plates lead to differences in food exposure, oxygen concentration, and humidity, we have optimized high-throughput liquid assays of growth and fecundity using robotic liquid handling, worm sorting, and image analysis.
(1) McGrath et al. Neuron 2009, (61)5: 692-699.