Literature DB >> 3596228

Molecular-marker-facilitated investigations of quantitative-trait loci in maize. I. Numbers, genomic distribution and types of gene action.

M D Edwards, C W Stuber, J F Wendel.   

Abstract

Individual genetic factors which underlie variation in quantitative traits of maize were investigated in each of two F2 populations by examining the mean trait expressions of genotypic classes at each of 17-20 segregating marker loci. It was demonstrated that the trait expression of marker locus classes could be interpreted in terms of genetic behavior at linked quantitative trait loci (QTLs). For each of 82 traits evaluated, QTLs were detected and located to genomic sites. The numbers of detected factors varied according to trait, with the average trait significantly influenced by almost two-thirds of the marked genomic sites. Most of the detected associations between marker loci and quantitative traits were highly significant, and could have been detected with fewer than the 1800-1900 plants evaluated in each population. The cumulative, simple effects of marker-linked regions of the genome explained between 8 and 40% of the phenotypic variation for a subset of 25 traits evaluated. Single marker loci accounted for between 0.3% and 16% of the phenotypic variation of traits. Individual plant heterozygosity, as measured by marker loci, was significantly associated with variation in many traits. The apparent types of gene action at the QTLs varied both among traits and between loci for given traits, although overdominance appeared frequently, especially for yield-related traits. The prevalence of apparent overdominance may reflect the effects of multiple QTLs within individual marker-linked regions, a situation which would tend to result in overestimation of dominance. Digenic epistasis did not appear to be important in determining the expression of the quantitative traits evaluated. Examination of the effects of marked regions on the expression of pairs of traits suggests that genomic regions vary in the direction and magnitudes of their effects on trait correlations, perhaps providing a means of selecting to dissociate some correlated traits. Marker-facilitated investigations appear to provide a powerful means of examining aspects of the genetic control of quantitative traits. Modifications of the methods employed herein will allow examination of the stability of individual gene effects in varying genetic backgrounds and environments.

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Year:  1987        PMID: 3596228      PMCID: PMC1203110     

Source DB:  PubMed          Journal:  Genetics        ISSN: 0016-6731            Impact factor:   4.562


  7 in total

1.  Selective blockade of excitatory synapses in the cat brain by gamma-aminobutyric acid.

Authors:  D P PURPURA; M GIRADO; H GRUNDFEST
Journal:  Science       Date:  1957-06-14       Impact factor: 47.728

2.  The Relationship of Heterozygosity to Homeostasis in Maize Hybrids.

Authors:  M W Adams; D B Shank
Journal:  Genetics       Date:  1959-09       Impact factor: 4.562

3.  Estimates of Genetic Variances and Level of Dominance in Maize.

Authors:  R H Moll; M F Lindsey; H F Robinson
Journal:  Genetics       Date:  1964-03       Impact factor: 4.562

4.  Dominance of Linked Factors as a Means of Accounting for Heterosis.

Authors:  D F Jones
Journal:  Genetics       Date:  1917-09       Impact factor: 4.562

5.  The location of genetic factors controlling a number of quantitative characters in wheat.

Authors:  C N Law
Journal:  Genetics       Date:  1967-07       Impact factor: 4.562

6.  The power of methods for the detection of major genes affecting quantitative characters.

Authors:  I McMillan; A Robertson
Journal:  Heredity (Edinb)       Date:  1974-06       Impact factor: 3.821

7.  Linkage relationships of 19 enzyme Loci in maize.

Authors:  M M Goodman; C W Stuber; K Newton; H H Weissinger
Journal:  Genetics       Date:  1980-11       Impact factor: 4.562

  7 in total
  159 in total

1.  Fluxes and metabolic pools as model traits for quantitative genetics. I. The L-shaped distribution of gene effects.

Authors:  B Bost; C Dillmann; D de Vienne
Journal:  Genetics       Date:  1999-12       Impact factor: 4.562

2.  Genetic and nongenetic bases for the L-shaped distribution of quantitative trait loci effects.

Authors:  B Bost; D de Vienne; F Hospital; L Moreau; C Dillmann
Journal:  Genetics       Date:  2001-04       Impact factor: 4.562

3.  Identification of heading date quantitative trait locus Hd6 and characterization of its epistatic interactions with Hd2 in rice using advanced backcross progeny.

Authors:  T Yamamoto; H Lin; T Sasaki; M Yano
Journal:  Genetics       Date:  2000-02       Impact factor: 4.562

4.  Genetic and morphological analysis of a maize-teosinte F2 population: implications for the origin of maize.

Authors:  J Doebley; A Stec; J Wendel; M Edwards
Journal:  Proc Natl Acad Sci U S A       Date:  1990-12-15       Impact factor: 11.205

5.  Statistical methods for QTL mapping in cereals.

Authors:  Christine A Hackett
Journal:  Plant Mol Biol       Date:  2002 Mar-Apr       Impact factor: 4.076

6.  Single-locus heterotic effects and dominance by dominance interactions can adequately explain the genetic basis of heterosis in an elite rice hybrid.

Authors:  Jinping Hua; Yongzhong Xing; Weiren Wu; Caiguo Xu; Xinli Sun; Sibin Yu; Qifa Zhang
Journal:  Proc Natl Acad Sci U S A       Date:  2003-02-25       Impact factor: 11.205

7.  Genetic dissection of an elite rice hybrid revealed that heterozygotes are not always advantageous for performance.

Authors:  J P Hua; Y Z Xing; C G Xu; X L Sun; S B Yu; Qifa Zhang
Journal:  Genetics       Date:  2002-12       Impact factor: 4.562

8.  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

9.  Effects of P element insertions on quantitative traits in Drosophila melanogaster.

Authors:  T F Mackay; R F Lyman; M S Jackson
Journal:  Genetics       Date:  1992-02       Impact factor: 4.562

10.  Genetic analysis of tolerance to low-phosphorus stress in maize using restriction fragment length polymorphisms.

Authors:  R S Reiter; J G Coors; M R Sussman; W H Gabelman
Journal:  Theor Appl Genet       Date:  1991-10       Impact factor: 5.699

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