Literature DB >> 24177851

The effect of population structure on the relationship between heterosis and heterozygosity at marker loci.

A Charcosset1, L Essioux.   

Abstract

The relationship between heterozygosity at neutral marker loci and heterosis of F1 hybrids is investigated using a theoretical model. Results emphasize that linkage disequilibrium between the markers and the loci implicated in heterosis [quantitative trait loci (QTLs) that exhibit dominance effects] is a necessary condition to finding a correlation (ϱ mh ) between heterozygosity at marker loci and the heterosis. The effect of population structure, in which the parental inbred lines of the hybrids belong to different heterotic groups, is considered. ϱ mh is investigated for: (1) hybrids between lines that belong to the same heterotic group (within-group hybrids); (2) hybrids between lines that belong to different groups (between-group hybrids); and (3) all hybrids, both within and between-groups. Within a group, significant values of (ϱ mh ) may arise because of linkage disequilibrium generated by drift. At the between-group level, no correlation is expected since link-age disequilibrium should differ randomly from one group to the other, which is consistent with recent experimental results. Possible ways to achieve prediction of the heterosis in this situation are discussed. When all hybrids are considered simultaneously, divergence of allelic frequencies among groups for the markers and the QTLs produces a correlation between heterosis and heterozygosity at marker loci. This correlation increases with the number of markers that are considered.

Year:  1994        PMID: 24177851     DOI: 10.1007/BF00225164

Source DB:  PubMed          Journal:  Theor Appl Genet        ISSN: 0040-5752            Impact factor:   5.699


  16 in total

1.  Identification of genetic factors contributing to heterosis in a hybrid from two elite maize inbred lines using molecular markers.

Authors:  C W Stuber; S E Lincoln; D W Wolff; T Helentjaris; E S Lander
Journal:  Genetics       Date:  1992-11       Impact factor: 4.562

2.  The Relationship of Heterosis and Genetic Divergence in Maize.

Authors:  R H Moll; J H Lonnquist; J V Fortuno; E C Johnson
Journal:  Genetics       Date:  1965-07       Impact factor: 4.562

3.  The Theory and Analysis of Diallel Crosses.

Authors:  B I Hayman
Journal:  Genetics       Date:  1954-11       Impact factor: 4.562

4.  Restriction fragment length polymorphisms in genetic improvement: methodologies, mapping and costs.

Authors:  J S Beckmann; M Soller
Journal:  Theor Appl Genet       Date:  1983-11       Impact factor: 5.699

5.  Association of protein amount polymorphism (PAP) among maize lines with performances of their hybrids.

Authors:  A Leonardi; C Damerval; Y Hébert; A Gallais; D de Vienne
Journal:  Theor Appl Genet       Date:  1991-10       Impact factor: 5.699

6.  Genetic diversity for restriction fragment length polymorphisms and heterosis for two diallel sets of maize inbreds.

Authors:  A E Melchinger; M Lee; K R Lamkey; A R Hallauer; W L Woodman
Journal:  Theor Appl Genet       Date:  1990-10       Impact factor: 5.699

7.  Relationship between single-cross performance and molecular marker heterozygosity.

Authors:  R Bernardo
Journal:  Theor Appl Genet       Date:  1992-03       Impact factor: 5.699

8.  RFLP analyses of early-maturing European maize germ plasm : I. Genetic diversity among flint and dent inbreds.

Authors:  M M Messmer; A E Melchinger; J Boppenmaier; R G Herrmann; E Brunklaus-Jung
Journal:  Theor Appl Genet       Date:  1992-05       Impact factor: 5.699

9.  Analysis and interpretation of the variety cross diallel and related populations.

Authors:  C O Gardner; A S Eberhart
Journal:  Biometrics       Date:  1966-09       Impact factor: 2.571

10.  Relationship of restriction fragment length polymorphisms to single-cross hybrid performance of maize.

Authors:  E B Godshalk; M Lee; K R Lamkey
Journal:  Theor Appl Genet       Date:  1990-08       Impact factor: 5.699

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  25 in total

1.  Use of SSRs for establishing heterotic groups in subtropical maize.

Authors:  J C Reif; A E Melchinger; X C Xia; M L Warburton; D A Hoisington; S K Vasal; D Beck; M Bohn; M Frisch
Journal:  Theor Appl Genet       Date:  2003-06-27       Impact factor: 5.699

2.  Genomic prediction of hybrid performance in maize with models incorporating dominance and population specific marker effects.

Authors:  Frank Technow; Christian Riedelsheimer; Tobias A Schrag; Albrecht E Melchinger
Journal:  Theor Appl Genet       Date:  2012-06-26       Impact factor: 5.699

3.  Permutation tests for the correlation among genetic distances and measures of heterosis.

Authors:  H P Piepho
Journal:  Theor Appl Genet       Date:  2005-04-07       Impact factor: 5.699

4.  Prediction of single-cross hybrid performance in maize using haplotype blocks associated with QTL for grain yield.

Authors:  Tobias A Schrag; Hans Peter Maurer; Albrecht E Melchinger; Hans-Peter Piepho; Johan Peleman; Matthias Frisch
Journal:  Theor Appl Genet       Date:  2007-02-24       Impact factor: 5.699

5.  Fine genetic characterization of elite maize germplasm using high-throughput SNP genotyping.

Authors:  Xun Wu; Yongxiang Li; Yunsu Shi; Yanchun Song; Tianyu Wang; Yubi Huang; Yu Li
Journal:  Theor Appl Genet       Date:  2013-12-18       Impact factor: 5.699

6.  Variation of the parental genome contribution in segregating populations derived from biparental crosses and its relationship with heterosis of their Design III progenies.

Authors:  Albrecht E Melchinger; Baldev S Dhillon; Xuefei Mi
Journal:  Theor Appl Genet       Date:  2009-11-13       Impact factor: 5.699

7.  Prediction of hybrid performance in maize using molecular markers and joint analyses of hybrids and parental inbreds.

Authors:  Tobias A Schrag; Jens Möhring; Albrecht E Melchinger; Barbara Kusterer; Baldev S Dhillon; Hans-Peter Piepho; Matthias Frisch
Journal:  Theor Appl Genet       Date:  2009-11-15       Impact factor: 5.699

8.  Transcriptome-based distance measures for grouping of germplasm and prediction of hybrid performance in maize.

Authors:  Matthias Frisch; Alexander Thiemann; Junjie Fu; Tobias A Schrag; Stefan Scholten; Albrecht E Melchinger
Journal:  Theor Appl Genet       Date:  2009-11-13       Impact factor: 5.699

9.  Molecular markers and protein quantities as genetic descriptors in maize. I. Genetic diversity among 21 inbred lines.

Authors:  J Burstin; D de Vienne; P Dubreuil; C Damerval
Journal:  Theor Appl Genet       Date:  1994-12       Impact factor: 5.699

10.  Genetic architecture of nonadditive inheritance in Arabidopsis thaliana hybrids.

Authors:  Danelle K Seymour; Eunyoung Chae; Dominik G Grimm; Carmen Martín Pizarro; Anette Habring-Müller; François Vasseur; Barbara Rakitsch; Karsten M Borgwardt; Daniel Koenig; Detlef Weigel
Journal:  Proc Natl Acad Sci U S A       Date:  2016-11-01       Impact factor: 11.205

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