Literature DB >> 16617032

Believe it or not, QTLs are accurate!

Adam H Price1.   

Abstract

It is generally believed that mapping quantitative trait loci (QTLs) does not accurately position genes underlying polygenic traits on the genome, which limits the application of QTL analysis in marker-assisted selection and gene discovery. However, now that a few plant QTLs have been cloned or accurately tagged, it appears that they might be accurate to within 2cM or less. This means that there will be circumstances when map-based cloning using only original mapping data would be a realistic option that avoids time-consuming and expensive fine mapping. Acceptance of this view would enhance the value of past and future mapping experiments, particularly those revealing small and environmentally sensitive QTLs that are often considered intractable at the molecular level.

Mesh:

Year:  2006        PMID: 16617032     DOI: 10.1016/j.tplants.2006.03.006

Source DB:  PubMed          Journal:  Trends Plant Sci        ISSN: 1360-1385            Impact factor:   18.313


  79 in total

1.  Quantitative trait loci involved in regulating seed oil composition in Arabidopsis thaliana and their evolutionary implications.

Authors:  Anushree Sanyal; C Randal Linder
Journal:  Theor Appl Genet       Date:  2011-11-10       Impact factor: 5.699

2.  Genetic and correlation analysis of silique-traits in Brassica napus L. by quantitative trait locus mapping.

Authors:  Liwu Zhang; Guangsheng Yang; Pingwu Liu; Dengfeng Hong; Shipeng Li; Qingbiao He
Journal:  Theor Appl Genet       Date:  2010-08-05       Impact factor: 5.699

3.  QTL analysis of root traits as related to phosphorus efficiency in soybean.

Authors:  Quan Liang; Xiaohui Cheng; Mantong Mei; Xiaolong Yan; Hong Liao
Journal:  Ann Bot       Date:  2010-05-14       Impact factor: 4.357

Review 4.  Towards identifying genes underlying ecologically relevant traits in Arabidopsis thaliana.

Authors:  Joy Bergelson; Fabrice Roux
Journal:  Nat Rev Genet       Date:  2010-12       Impact factor: 53.242

5.  Quantitative trait loci, epigenetics, sugars, and microRNAs: quaternaries in phosphate acquisition and use.

Authors:  Carroll P Vance
Journal:  Plant Physiol       Date:  2010-10       Impact factor: 8.340

6.  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

7.  A locus on mouse Chromosome 9 (Adip5) affects the relative weight of the gonadal but not retroperitoneal adipose depot.

Authors:  Amanda H McDaniel; Xia Li; Michael G Tordoff; Alexander A Bachmanov; Danielle R Reed
Journal:  Mamm Genome       Date:  2006-11-10       Impact factor: 2.957

8.  Fine-mapping qFS07.1 controlling fiber strength in upland cotton (Gossypium hirsutum L.).

Authors:  Xiaomei Fang; Xueying Liu; Xiaoqin Wang; Wenwen Wang; Dexin Liu; Jian Zhang; Dajun Liu; Zhonghua Teng; Zhaoyun Tan; Fang Liu; Fengjiao Zhang; Maochao Jiang; Xiuling Jia; Jianwei Zhong; Jinghong Yang; Zhengsheng Zhang
Journal:  Theor Appl Genet       Date:  2017-01-31       Impact factor: 5.699

9.  Fine mapping of the region on wheat chromosome 7D controlling grain weight.

Authors:  Marion S Röder; Xiu-Qiang Huang; Andreas Börner
Journal:  Funct Integr Genomics       Date:  2007-06-07       Impact factor: 3.410

10.  Fine mapping of qSB-11(LE), the QTL that confers partial resistance to rice sheath blight.

Authors:  Shimin Zuo; Yuejun Yin; Cunhong Pan; Zongxiang Chen; Yafang Zhang; Shiliang Gu; Lihuang Zhu; Xuebiao Pan
Journal:  Theor Appl Genet       Date:  2013-02-20       Impact factor: 5.699

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