The individual nucleotides responsible for phenotypic diversity have been very difficult to isolate. The majority of known causal variants that affect traits in wild populations of a species occur within protein-coding regions. These variants are typically of very large effect and may not be typical of the sorts of alleles that drive evolution. There are many confounding effects that can explain the relative lack of causal variants, or quantitative trait nucleotides (QTNs), particularly alleles of small effect, epistasis, and gene-environment interactions. One way to elucidate quantitative trait loci (QTLs) is through the creation of near-isogenic lines (NILs), where the majority of the genome (>95%) is of one genomic background. NILs have previously been created for the nematode C. elegans and identified QTLs across the genome for several phenotypes. C. elegans is a naturally inbred species, which makes it ideal for isolating QTNs. Starting with a NIL that harbors a ~1.5 Mb segment on Chromosome X originating from the Hawaiian isolate CB4856, we have created a series of more than 1000 sub-NILs that break up this segment into smaller regions by recombination. These sub-NILs will be genotyped at 278 SNPs within the 1.5 Mb segment. We are currently piloting high-throughput fitness assays similar to previous work by Elvin et al (2011) and Ramani et al (2012). Additionally, we plan to do gene expression analysis on a subset of the sub-NIL panel to characterize expression QTNs (eQTNs). QTL mapping on simulated sub-NIL datasets shows that for a single QTL model, we can accurately map small effect (
h2<0.1) causal variants. Due to the linkage disequilibrium pattern in the sub-NIL panel, traditional QTL mapping methods are not applicable. We show that pairwise comparisons among groups of similar sub-NIL genotypes provide a systematic method for identifying QTLs. We have also modeled more complex QTL scenarios, including multiple QTLs and epistatic interactions. These simulations have informed us of our potential statistical power for future QTL mapping experiments.