Literature DB >> 17598084

Potential causes of linkage disequilibrium in a European maize breeding program investigated with computer simulations.

Benjamin Stich1, Albrecht E Melchinger, Hans-Peter Piepho, Sonia Hamrit, Wolfgang Schipprack, Hans P Maurer, Jochen C Reif.   

Abstract

Knowledge about the forces generating and conserving linkage disequilibrium (LD) is important for drawing conclusions about the prospects and limitations of association mapping. The objectives of our research were to examine the importance of (1) selection, (2) mutation, and (3) genetic drift for generating LD in a typical maize breeding program. We conducted computer simulations based on genotypic data of Central European maize open-pollinated varieties which have played an important role as founders of the European flint heterotic group. The breeding scheme and the dimensioning underlying our simulations reflect essentially the maize breeding program of the University of Hohenheim. Results suggested that in a plant breeding program of the examined dimension and breeding scheme, genetic drift and selection are major forces generating LD. The currently used population-based association mapping tests do not explicitly correct for LD caused by these two forces. Therefore, increased type I error rates are expected if these tests are applied to plant breeding populations. As a consequence, we recommend to use family-based association tests for association mapping approaches in plant breeding populations.

Entities:  

Mesh:

Year:  2007        PMID: 17598084     DOI: 10.1007/s00122-007-0586-1

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


  25 in total

1.  Haplotype evolution and linkage disequilibrium: A simulation study.

Authors:  F Calafell; E L Grigorenko; A A Chikanian; K K Kidd
Journal:  Hum Hered       Date:  2001       Impact factor: 0.444

2.  Test of association for quantitative traits in general pedigrees: the quantitative pedigree disequilibrium test.

Authors:  S Zhang; K Zhang; J Li; F Sun; H Zhao
Journal:  Genet Epidemiol       Date:  2001       Impact factor: 2.135

Review 3.  Structure of linkage disequilibrium in plants.

Authors:  Sherry A Flint-Garcia; Jeffry M Thornsberry; Edward S Buckler
Journal:  Annu Rev Plant Biol       Date:  2003       Impact factor: 26.379

Review 4.  Mapping genes through the use of linkage disequilibrium generated by genetic drift: 'drift mapping' in small populations with no demographic expansion.

Authors:  J D Terwilliger; S Zöllner; M Laan; S Pääbo
Journal:  Hum Hered       Date:  1998 May-Jun       Impact factor: 0.444

Review 5.  Rates of spontaneous mutation.

Authors:  J W Drake; B Charlesworth; D Charlesworth; J F Crow
Journal:  Genetics       Date:  1998-04       Impact factor: 4.562

6.  The extent of linkage disequilibrium in Arabidopsis thaliana.

Authors:  Magnus Nordborg; Justin O Borevitz; Joy Bergelson; Charles C Berry; Joanne Chory; Jenny Hagenblad; Martin Kreitman; Julin N Maloof; Tina Noyes; Peter J Oefner; Eli A Stahl; Detlef Weigel
Journal:  Nat Genet       Date:  2002-01-07       Impact factor: 38.330

7.  Power of in silico QTL mapping from phenotypic, pedigree, and marker data in a hybrid breeding program.

Authors:  J Yu; M Arbelbide; R Bernardo
Journal:  Theor Appl Genet       Date:  2005-03-08       Impact factor: 5.699

8.  In silico mapping of quantitative trait loci in maize.

Authors:  B Parisseaux; R Bernardo
Journal:  Theor Appl Genet       Date:  2004-05-19       Impact factor: 5.699

9.  Hybrid maize breeding with doubled haploids: I. One-stage versus two-stage selection for testcross performance.

Authors:  C Friedrich H Longin; H Friedrich Utz; Jochen C Reif; Wolfgang Schipprack; Albrecht E Melchinger
Journal:  Theor Appl Genet       Date:  2006-01-25       Impact factor: 5.574

10.  Power of mixed-model QTL mapping from phenotypic, pedigree and marker data in self-pollinated crops.

Authors:  M Arbelbide; J Yu; R Bernardo
Journal:  Theor Appl Genet       Date:  2006-01-10       Impact factor: 5.574

View more
  10 in total

1.  QTL detection power of multi-parental RIL populations in Arabidopsis thaliana.

Authors:  J R Klasen; H-P Piepho; B Stich
Journal:  Heredity (Edinb)       Date:  2012-02-15       Impact factor: 3.821

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.  Graph-based data selection for the construction of genomic prediction models.

Authors:  Steven Maenhout; Bernard De Baets; Geert Haesaert
Journal:  Genetics       Date:  2010-05-17       Impact factor: 4.562

4.  Statistical genetic issues for genome-wide association studies.

Authors:  Bruce S Weir
Journal:  Genome       Date:  2010-11       Impact factor: 2.166

5.  Marker-based estimation of the coefficient of coancestry in hybrid breeding programmes.

Authors:  S Maenhout; B De Baets; G Haesaert
Journal:  Theor Appl Genet       Date:  2009-02-18       Impact factor: 5.699

6.  Population structure and linkage disequilibrium of a mini core set of maize inbred lines in China.

Authors:  Ronghuan Wang; Yongtao Yu; Jiuran Zhao; Yunsu Shi; Yanchun Song; Tianyu Wang; Yu Li
Journal:  Theor Appl Genet       Date:  2008-08-12       Impact factor: 5.699

7.  Mapping QTLs with main and epistatic effects underlying grain yield and heading time in soft winter wheat.

Authors:  Jochen C Reif; Hans P Maurer; Viktor Korzun; Erhard Ebmeyer; T Miedaner; Tobias Würschum
Journal:  Theor Appl Genet       Date:  2011-04-08       Impact factor: 5.699

8.  Identification of key ancestors of modern germplasm in a breeding program of maize.

Authors:  F Technow; T A Schrag; W Schipprack; A E Melchinger
Journal:  Theor Appl Genet       Date:  2014-09-11       Impact factor: 5.699

9.  Unraveling the genetic architecture of subtropical maize (Zea mays L.) lines to assess their utility in breeding programs.

Authors:  Nepolean Thirunavukkarasu; Firoz Hossain; Kaliyugam Shiriga; Swati Mittal; Kanika Arora; Abhishek Rathore; Sweta Mohan; Trushar Shah; Rinku Sharma; Pottekatt Mohanlal Namratha; Amitha S V Mithra; Trilochan Mohapatra; Hari Shankar Gupta
Journal:  BMC Genomics       Date:  2013-12-13       Impact factor: 3.969

10.  Application of association mapping to understanding the genetic diversity of plant germplasm resources.

Authors:  Ibrokhim Y Abdurakhmonov; Abdusattor Abdukarimov
Journal:  Int J Plant Genomics       Date:  2008
  10 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.