Literature DB >> 25541573

Constructing linkage map based on a four-way cross population.

Jiang Beibei1, Yu Shizhou1, Xiao Bingguang2, Lou Xiangyang3, Xu Haiming4.   

Abstract

Currently, developing genetic linkage map mostly use the derived-populations from crossing of two homogenous parents, which only covers limited genetic diversity and is inappropriate for some species, such as tobacco with lower diversity in genome. It is very general that there are no sufficient polymorphic markers to construct linkage map and ineffective to conduct marker-assisted selection (MAS) and quantitative trait locus (QTL) mapping based on lower density linkage map. This study proposed a method for developing genetic linkage map based on a four-way cross population. Computer simulation was conducted to investigate the feasibility and effectiveness of the method and a supporting program was designed. The main procedures and features of the proposed method were summarized as follows: 1) estimating genetic distance of any paired markers based on maximum likelihood method; 2) splitting all markers into different groups (linkage group) by cluster analysis based on genetic distance of markers; 3) for each linkage group, two end markers were first determined, then the marker order could be determined by inserting other markers in appropriate position by distance analysis of any three neighboring markers. Monte Carlo simulation showed that the proposed method is feasible, effective, and applicable in other derived populations from crossing of two homogenous parents.

Entities:  

Keywords:  Monte Carlo simulation; four-way cross population; genetic distance; genetic map; linkage analysis

Year:  2014        PMID: 25541573      PMCID: PMC4274998     

Source DB:  PubMed          Journal:  Zhejiang Daxue Xue Bao Nong Ye Yu Sheng Ming Ke Xue Ban        ISSN: 1008-9209


  26 in total

Review 1.  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 2.  Genetic architecture of complex traits in plants.

Authors:  James B Holland
Journal:  Curr Opin Plant Biol       Date:  2007-02-08       Impact factor: 7.834

3.  CARTHAGENE: constructing and joining maximum likelihood genetic maps.

Authors:  T Schiex; C Gaspin
Journal:  Proc Int Conf Intell Syst Mol Biol       Date:  1997

4.  A genetic linkage map of the human genome.

Authors:  H Donis-Keller; P Green; C Helms; S Cartinhour; B Weiffenbach; K Stephens; T P Keith; D W Bowden; D R Smith; E S Lander
Journal:  Cell       Date:  1987-10-23       Impact factor: 41.582

5.  [Computer program of genetic map construction and database of gene localization].

Authors:  I A Zakharov; E M Miasnikova
Journal:  Genetika       Date:  1993-06

6.  Construction of multilocus genetic linkage maps in humans.

Authors:  E S Lander; P Green
Journal:  Proc Natl Acad Sci U S A       Date:  1987-04       Impact factor: 11.205

7.  Multiple marker mapping of quantitative trait loci in a cross between outbred wild boar and large white pigs.

Authors:  S A Knott; L Marklund; C S Haley; K Andersson; W Davies; H Ellegren; M Fredholm; I Hansson; B Hoyheim; K Lundström; M Moller; L Andersson
Journal:  Genetics       Date:  1998-06       Impact factor: 4.562

8.  QTL mapping of yield and fiber traits based on a four-way cross population in Gossypium hirsutum L.

Authors:  Hongde Qin; Wangzhen Guo; Yuan-Ming Zhang; Tianzhen Zhang
Journal:  Theor Appl Genet       Date:  2008-07-05       Impact factor: 5.699

9.  MAPMAKER: an interactive computer package for constructing primary genetic linkage maps of experimental and natural populations.

Authors:  E S Lander; P Green; J Abrahamson; A Barlow; M J Daly; S E Lincoln; L A Newberg; L Newburg
Journal:  Genomics       Date:  1987-10       Impact factor: 5.736

10.  A multilocus likelihood approach to joint modeling of linkage, parental diplotype and gene order in a full-sib family.

Authors:  Qing Lu; Yuehua Cui; Rongling Wu
Journal:  BMC Genet       Date:  2004-07-26       Impact factor: 2.797

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