A new advanced backcross tomato population enables high resolution leaf QTL mapping and gene identification

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 and its more distant interfertile relatives typically follow a near isogenic line (NIL) design, such a...

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Bibliographic Details
Published inbioRxiv
Main Authors Fulop, Daniel, Ranjan, Aashish, Ofner, Itai, Covington, Michael F, Chitwood, Daniel H, West, Donnelly, Ichihashi, Yasunori, Headland, Lauren, Zamir, Daniel, Maloof, Julin N, Sinha, Neelima R
Format Paper
LanguageEnglish
Published Cold Spring Harbor Cold Spring Harbor Laboratory Press 10.08.2016
Subjects
Cultivars
Domestication
Epistasis
Flowering
Gene loci
Gene mapping
Genotyping
Inbreeding
Leaves
Population
Quantitative trait loci
Solanum pennellii
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Summary: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 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.
DOI:10.1101/040923