Quantitative Trait Loci Mapping and The Genetic Basis of Heterosis in Maize and Rice

Author:

Garcia Antonio Augusto Franco1,Wang Shengchu2,Melchinger Albrecht E3,Zeng Zhao-Bang24

Affiliation:

1. Departamento de Genética, Escola Superior de Agricultura Luiz de Queiroz, Universidade de São Paulo CP 83, 13400-970, Piracicaba, SP, Brazil

2. Department of Statistics and Bioinformatics Research Center and

3. Institute of Plant Breeding, Seed Science and Population Genetics, University of Hohenheim, 70599 Stuttgart, Germany

4. Department of Genetics, North Carolina State University, Raleigh, North Carolina 27695-7566 and

Abstract

Abstract Despite its importance to agriculture, the genetic basis of heterosis is still not well understood. The main competing hypotheses include dominance, overdominance, and epistasis. NC design III is an experimental design that has been used for estimating the average degree of dominance of quantitative trait loci (QTL) and also for studying heterosis. In this study, we first develop a multiple-interval mapping (MIM) model for design III that provides a platform to estimate the number, genomic positions, augmented additive and dominance effects, and epistatic interactions of QTL. The model can be used for parents with any generation of selfing. We apply the method to two data sets, one for maize and one for rice. Our results show that heterosis in maize is mainly due to dominant gene action, although overdominance of individual QTL could not completely be ruled out due to the mapping resolution and limitations of NC design III. For rice, the estimated QTL dominant effects could not explain the observed heterosis. There is evidence that additive × additive epistatic effects of QTL could be the main cause for the heterosis in rice. The difference in the genetic basis of heterosis seems to be related to open or self pollination of the two species. The MIM model for NC design III is implemented in Windows QTL Cartographer, a freely distributed software.

Publisher

Oxford University Press (OUP)

Subject

Genetics

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