Back to Search Start Over

A New Advanced Backcross Tomato Population Enables High Resolution Leaf QTL Mapping and Gene Identification

Authors :
Itai Ofner
Neelima Sinha
Daniel Zamir
Aashish Ranjan
Daniel Fulop
Julin N. Maloof
Donnelly A. West
Lauren R. Headland
Michael F. Covington
Daniel H. Chitwood
Yasunori Ichihashi
Source :
G3: Genes, Genomes, Genetics, Vol 6, Iss 10, Pp 3169-3184 (2016), G3 (Bethesda, Md.), vol 6, iss 10, G3: Genes|Genomes|Genetics
Publication Year :
2016
Publisher :
Oxford University Press, 2016.

Abstract

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 theSolanum pennelliiIntrogression 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 andS. pennelli. This so-called Backcrossed Inbred Line (BIL) population is comprised of a mix ofBC2andBC3lines, with domesticated tomato as the recurrent parent. The BIL population is complementary to the existingS. pennelliiIL 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.

Details

Language :
English
ISSN :
21601836
Volume :
6
Issue :
10
Database :
OpenAIRE
Journal :
G3: Genes, Genomes, Genetics
Accession number :
edsair.doi.dedup.....58e3e2a9c5d76285c59a57ffe540ed9f
Full Text :
https://doi.org/10.1534/g3.116.030536