title: Connected populations for detecting quantitative trait loci and testing for epistasis: an application in maize.
abstract: Quantitative trait loci (QTL) detection experiments have often been restricted to large biallelic populations. Use of connected multiparental crosses has been proposed to increase the genetic variability addressed and to test for epistatic interactions between QTL and the genetic background. We present here the results of a QTL detection performed on six connected F(2) populations of 150 F(2:3) families each, derived from four maize inbreds and evaluated for three traits of agronomic interest. The QTL detection was carried out by composite interval mapping on each population separately, then on the global design either by taking into account the connections between populations or not. Epistatic interactions between loci and with the genetic background were tested. Taking into account the connections between populations increased the number of QTL detected and the accuracy of QTL position estimates. We detected many epistatic interactions, particularly for grain yield QTL (R(2) increase of 9.6%). Use of connections for the QTL detection also allowed a global ranking of alleles at each QTL. Allelic relationships and epistasis both contribute to the lack of consistency for QTL positions observed among populations, in addition to the limited power of the tests. The potential benefit of assembling favorable alleles by marker-assisted selection are discussed.
authors.affiliation: INRA/INA-PG/UPS/CNRS, UMR de Génétique Végétale, Ferme du Moulon, 91190 Gif sur Yvette, France.
authors.forename: G
authors.initials: G
authors.lastname: Blanc
authors.forename: A
authors.initials: A
authors.lastname: Charcosset
authors.forename: B
authors.initials: B
authors.lastname: Mangin
authors.forename: A
authors.initials: A
authors.lastname: Gallais
authors.forename: L
authors.initials: L
authors.lastname: Moreau
mesh_terms: D004843:Epistasis, Genetic; D040641:Quantitative Trait Loci; D003313:Zea mays / Q000235:genetics*