Literature DB >> 7753859

Interactions between quantitative trait loci in soybean in which trait variation at one locus is conditional upon a specific allele at another.

K G Lark1, K Chase, F Adler, L M Mansur, J H Orf.   

Abstract

A large recombinant inbred population of soybean has been characterized for 220 restriction fragment-length polymorphism (RFLP) markers. Values for agronomic traits also have been measured. Quantitative trait loci (QTL) for height, yield, and maturity were located by their linkage to RFLP markers. QTL controlling large amounts of trait variation were analyzed for the dependence of trait variation on particular alleles at a second locus by comparing cumulative distributions of the trait for each genotype (four genotypes per pair of loci). Interesting pairs of loci were analyzed statistically with maximum likelihood and Monte Carlo comparison of additive and epistatic models. For each locus affecting height, variation was conditional upon the presence of a particular allele at a second unlinked locus that itself explained little or no trait variation. The results show that interactions between QTL are frequent and control large effects. Interactions distinguished between different QTL in a single linkage group and between QTL that affect different traits closely linked to one RFLP marker--i.e., distinguished between pleiotropy and closely linked genes. The implications for the evolution of inbreeding plants and for the construction of agronomic breeding strategies are discussed.

Entities:  

Mesh:

Year:  1995        PMID: 7753859      PMCID: PMC42003          DOI: 10.1073/pnas.92.10.4656

Source DB:  PubMed          Journal:  Proc Natl Acad Sci U S A        ISSN: 0027-8424            Impact factor:   11.205


  2 in total

1.  Gene mapping with recombinant inbreds in maize.

Authors:  B Burr; F A Burr; K H Thompson; M C Albertson; C W Stuber
Journal:  Genetics       Date:  1988-03       Impact factor: 4.562

Review 2.  Mapping polygenes.

Authors:  S D Tanksley
Journal:  Annu Rev Genet       Date:  1993       Impact factor: 16.830

  2 in total
  56 in total

1.  Mapping epistatic quantitative trait loci with one-dimensional genome searches.

Authors:  J L Jannink; R Jansen
Journal:  Genetics       Date:  2001-01       Impact factor: 4.562

2.  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

3.  Importance of epistasis as the genetic basis of heterosis in an elite rice hybrid.

Authors:  S B Yu; J X Li; C G Xu; Y F Tan; Y J Gao; X H Li; Q Zhang; M A Saghai Maroof
Journal:  Proc Natl Acad Sci U S A       Date:  1997-08-19       Impact factor: 11.205

4.  Bayesian model choice and search strategies for mapping interacting quantitative trait Loci.

Authors:  Nengjun Yi; Shizhong Xu; David B Allison
Journal:  Genetics       Date:  2003-10       Impact factor: 4.562

5.  A penalized likelihood method for mapping epistatic quantitative trait Loci with one-dimensional genome searches.

Authors:  Martin P Boer; Cajo J F Ter Braak; Ritsert C Jansen
Journal:  Genetics       Date:  2002-10       Impact factor: 4.562

6.  QTL x environment interactions in rice. I. heading date and plant height.

Authors:  Z K Li; S B Yu; H R Lafitte; N Huang; B Courtois; S Hittalmani; C H M Vijayakumar; G F Liu; G C Wang; H E Shashidhar; J Y Zhuang; K L Zheng; V P Singh; J S Sidhu; S Srivantaneeyakul; G S Khush
Journal:  Theor Appl Genet       Date:  2003-09-05       Impact factor: 5.699

7.  Mapping quantitative trait Loci interactions from the maternal and offspring genomes.

Authors:  Yuehua Cui; George Casella; Rongling Wu
Journal:  Genetics       Date:  2004-06       Impact factor: 4.562

8.  QTL analysis of soybean seed weight across multi-genetic backgrounds and environments.

Authors:  Yingpeng Han; Dongmei Li; Dan Zhu; Haiyan Li; Xiuping Li; Weili Teng; Wenbin Li
Journal:  Theor Appl Genet       Date:  2012-04-06       Impact factor: 5.699

9.  Identification of QTLs for seed and pod traits in soybean and analysis for additive effects and epistatic effects of QTLs among multiple environments.

Authors:  Zhe Yang; Dawei Xin; Chunyan Liu; Hongwei Jiang; Xue Han; Yanan Sun; Zhaoming Qi; Guohua Hu; Qingshan Chen
Journal:  Mol Genet Genomics       Date:  2013-12       Impact factor: 3.291

10.  Validation of QTLs for Orobanche crenata resistance in faba bean (Vicia faba L.) across environments and generations.

Authors:  Ramón Díaz-Ruiz; A M Torres; Z Satovic; M V Gutierrez; J I Cubero; Belén Román
Journal:  Theor Appl Genet       Date:  2009-12-03       Impact factor: 5.699

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.