Literature DB >> 16875319

Improving QTL mapping resolution based on genotypic sampling--a case using a RIL population.

Jian-Bing Yan1, Ji-Hua Tang, Yi-Jiang Meng, Xi-Qing Ma, Wen-Tao Teng, Subhash Chander, Lin Li, Jian-Sheng Li.   

Abstract

The QTL mapping results were compared with the genotypically selected and random samples of the same size on the base of a RIL population. The results demonstrated that there were no obvious differences in the trait distribution and marker segregation distortion between the genotypically selected and random samples with the same population size. However, a significant increase in QTL detection power, sensitivity, specificity, and QTL resolution in the genotypically selected samples were observed. Moreover, the highly significant effect was detected in small size of genotypically selected samples. In QTL mapping, phenotyping is a more sensitive limiting factor than genotyping so that the selection of samples could be an attractive strategy for increasing genome-wide QTL mapping resolution. The efficient selection of samples should be more helpful for QTL maker assistant selection, fine mapping, and QTL cloning.

Mesh:

Year:  2006        PMID: 16875319     DOI: 10.1016/S0379-4172(06)60091-7

Source DB:  PubMed          Journal:  Yi Chuan Xue Bao        ISSN: 0379-4172


  4 in total

1.  Mapping of genome-wide resistance gene analogs (RGAs) in maize (Zea mays L.).

Authors:  Wenkai Xiao; Jing Zhao; Shengci Fan; Lin Li; Jinrui Dai; Mingliang Xu
Journal:  Theor Appl Genet       Date:  2007-06-21       Impact factor: 5.699

2.  Selection of a core set of RILs from Forrest x Williams 82 to develop a framework map in soybean.

Authors:  Xiaolei Wu; Tri D Vuong; Jill A Leroy; J Grover Shannon; David A Sleper; Henry T Nguyen
Journal:  Theor Appl Genet       Date:  2011-01-19       Impact factor: 5.699

3.  Prospects for advancing defense to cereal rusts through genetical genomics.

Authors:  Elsa Ballini; Nick Lauter; Roger Wise
Journal:  Front Plant Sci       Date:  2013-05-01       Impact factor: 5.753

4.  Model-based QTL detection is sensitive to slight modifications in model formulation.

Authors:  Caterina Barrasso; Mohamed-Mahmoud Memah; Michel Génard; Bénédicte Quilot-Turion
Journal:  PLoS One       Date:  2019-10-03       Impact factor: 3.240

  4 in total

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