TY - JOUR T1 - A new advanced backcross tomato population enables high resolution leaf QTL mapping and gene identification JF - bioRxiv DO - 10.1101/040923 SP - 040923 AU - Daniel Fulop AU - Aashish Ranjan AU - Itai Ofner AU - Michael F. Covington AU - Daniel H. Chitwood AU - Donelly West AU - Yasunori Ichihashi AU - Lauren Headland AU - Daniel Zamir AU - Julin N. Maloof AU - Neelima R. Sinha Y1 - 2016/01/01 UR - http://biorxiv.org/content/early/2016/08/10/040923.abstract N2 - Quantitative Trait Locus (QTL) mapping is a powerful technique for dissecting the genetic basis of traits and species differences. Established tomato mapping populations between domesticated tomato (Solanum lycopersicum) and its more distant interfertile relatives typically follow a near isogenic line (NIL) design, such as the Solanum pennellii Introgression Line (IL) population, with a single wild introgression per line in an otherwise domesticated genetic background. Here we report on a new advanced backcross QTL mapping resource for tomato, derived from a cross between the M82 tomato cultivar and S. pennelli. This so-called Backcrossed Inbred Line (BIL) population is comprised of a mix of BC2 and BC3 lines, with domesticated tomato as the recurrent parent. The BIL population is complementary to the existing S. pennellii IL population, with which it shares parents. Using the BILs we mapped traits for leaf complexity, leaflet shape, and flowering time. We demonstrate the utility of the BILs for fine-mapping QTL, particularly QTL initially mapped in the ILs, by fine-mapping several QTL to single or few candidate genes. Moreover, we confirm the value of a backcrossed population with multiple introgressions per line, such as the BILs, for epistatic QTL mapping. Our work was further enabled by the development of our own statistical inference and visualization tools, namely a heterogeneous Hidden Markov Model for genotyping the lines, and by using state of the art sparse regression techniques for QTL mapping. ER -