RT Journal Article SR Electronic T1 Correlations of genotype with climate parameters suggest Caenorhabditis elegans niche preferences JF bioRxiv FD Cold Spring Harbor Laboratory SP 075960 DO 10.1101/075960 A1 Kathryn S. Evans A1 Yuehui Zhao A1 Shannon C. Brady A1 Lijiang Long A1 Patrick T. McGrath A1 Erik C. Andersen YR 2016 UL http://biorxiv.org/content/early/2016/09/19/075960.abstract AB Species inhabit a variety of environmental niches, and the adaptation to a particular niche is often controlled by genetic factors, including gene-by-environment interactions. The genes that vary in order to regulate the ability to colonize a niche are often difficult to identify, especially in the context of complex ecological systems and in experimentally uncontrolled natural environments. Quantitative genetic approaches provide an opportunity to investigate correlations between genetic factors and environmental parameters that might define a niche. Previously, we have shown how a collection of 208 whole-genome sequenced wild Caenorhabditis elegans can facilitate association mapping approaches. To correlate climate parameters with the variation found in this collection of wild strains, we used geographic data to exhaustively curate daily weather measurements in short-term (three month), middle-term (one year), and long-term (three year) durations surrounding the data of strain isolation. These climate parameters were then used as quantitative traits in the mapping approaches. We identified 10 QTL underlying variation in three traits: elevation, relative humidity, and average temperature. We then performed statistical analyses to further narrow the genomic interval of interest to identify gene candidates with variants potentially underlying phenotypic differences. Additionally, we performed two-strain competition assays at high and low temperatures to validate a QTL for temperature preference and found suggestive evidence that genotypes might be adapted to particular temperatures.100-word summary for G3 Quantitative genetic approaches provide an opportunity to investigate correlations between genetic factors and environmental parameters that might define a niche, but these genes are difficult to identify, especially in the context of complex ecological systems. Here, we used a collection of 152 sequenced wild Caenorhabditis elegans to correlate climate parameters with the variation found in this collection of wild strains. We identified 10 QTL in five traits, including elevation, relative humidity, and temperature. Additionally, we performed competition assays to validate a QTL for temperature preference and found suggestive evidence that genotypes might be adapted to particular temperatures.