Literature DB >> 20542719

Molecular basis of trait correlations.

Yongsheng Chen1, Thomas Lübberstedt.   

Abstract

Trait correlations are common phenomena in biology. Plant breeders need to consider trait correlations to either improve correlated traits simultaneously or to reduce undesirable side effects when improving only one of the correlated traits. Pleiotropy or close linkage are the two major reasons for genetic trait correlations and are often confounded at the level of quantitative trait loci or genes. With the progress of genetic and genomic approaches, discrimination of intragenic linkage from true pleiotropy is increasingly possible. This will substantially impact breeding strategies and will be helpful to understand the nature of trait correlations. 2010 Elsevier Ltd. All rights reserved.

Mesh:

Year:  2010        PMID: 20542719     DOI: 10.1016/j.tplants.2010.05.004

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


  48 in total

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2.  Multiple-trait genomic selection methods increase genetic value prediction accuracy.

Authors:  Yi Jia; Jean-Luc Jannink
Journal:  Genetics       Date:  2012-10-19       Impact factor: 4.562

3.  3D phenotyping and quantitative trait locus mapping identify core regions of the rice genome controlling root architecture.

Authors:  Christopher N Topp; Anjali S Iyer-Pascuzzi; Jill T Anderson; Cheng-Ruei Lee; Paul R Zurek; Olga Symonova; Ying Zheng; Alexander Bucksch; Yuriy Mileyko; Taras Galkovskyi; Brad T Moore; John Harer; Herbert Edelsbrunner; Thomas Mitchell-Olds; Joshua S Weitz; Philip N Benfey
Journal:  Proc Natl Acad Sci U S A       Date:  2013-04-11       Impact factor: 11.205

4.  Mapping of shoot fly tolerance loci in sorghum using SSR markers.

Authors:  D B Apotikar; D Venkateswarlu; R B Ghorade; R M Wadaskar; J V Patil; P L Kulwal
Journal:  J Genet       Date:  2011-04       Impact factor: 1.166

5.  Pleiotropic mutations are subject to strong stabilizing selection.

Authors:  Katrina McGuigan; Julie M Collet; Scott L Allen; Stephen F Chenoweth; Mark W Blows
Journal:  Genetics       Date:  2014-05-02       Impact factor: 4.562

6.  Genetic and physical fine mapping of the novel brown midrib gene bm6 in maize (Zea mays L.) to a 180 kb region on chromosome 2.

Authors:  Yongsheng Chen; Hongjun Liu; Farhad Ali; M Paul Scott; Qing Ji; Ursula Karoline Frei; Thomas Lübberstedt
Journal:  Theor Appl Genet       Date:  2012-06-20       Impact factor: 5.699

7.  Dissecting the phenotypic components of crop plant growth and drought responses based on high-throughput image analysis.

Authors:  Dijun Chen; Kerstin Neumann; Swetlana Friedel; Benjamin Kilian; Ming Chen; Thomas Altmann; Christian Klukas
Journal:  Plant Cell       Date:  2014-12-11       Impact factor: 11.277

8.  Mapping QTLs for improving grain yield using the USDA rice mini-core collection.

Authors:  Xiaobai Li; Wengui Yan; Hesham Agrama; Limeng Jia; Xihong Shen; Aaron Jackson; Karen Moldenhauer; Kathleen Yeater; Anna McClung; Dianxing Wu
Journal:  Planta       Date:  2011-04-10       Impact factor: 4.116

Review 9.  Genetic contributions to NAFLD: leveraging shared genetics to uncover systems biology.

Authors:  Mohammed Eslam; Jacob George
Journal:  Nat Rev Gastroenterol Hepatol       Date:  2019-10-22       Impact factor: 46.802

10.  Advantages and limitations of multiple-trait genomic prediction for Fusarium head blight severity in hybrid wheat (Triticum aestivum L.).

Authors:  Albert W Schulthess; Yusheng Zhao; C Friedrich H Longin; Jochen C Reif
Journal:  Theor Appl Genet       Date:  2017-12-02       Impact factor: 5.699

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