Literature DB >> 17416547

High-definition genome profiling for genetic marker discovery.

Tong Zhu1, John Salmeron.   

Abstract

Genetic mapping is a key step towards isolating genes and genetic markers associated with phenotypic traits by elucidating their genetic positions. The success of this approach depends on precision in pinpointing genetic positions and the effectiveness of the discovery process. Recent advances in microarray technology and the increasing availability of genomic information have provided an opportunity to use microarrays to scan effectively for genetic variations at the whole-genome scale, enabling the production of high-definition gene-based genetic maps, in combination with functional analyses and identification of trait-associated genetic marker candidates with high precision. In this review, we discuss the concept, process, tools and applications of microarray-based high-definition genetic analysis. This post-genomics approach should help to identify causative genetic variation by uniting genetic and functional information.

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Year:  2007        PMID: 17416547     DOI: 10.1016/j.tplants.2007.03.013

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


  8 in total

1.  Single feature polymorphisms between two rice cultivars detected using a median polish method.

Authors:  Weibo Xie; Ying Chen; Gang Zhou; Lei Wang; Chengjun Zhang; Jianwei Zhang; Jinghua Xiao; Tong Zhu; Qifa Zhang
Journal:  Theor Appl Genet       Date:  2009-04-16       Impact factor: 5.699

2.  Combining bulk segregation analysis and microarrays for mapping of the pH trait in melon.

Authors:  Amir Sherman; Ravit Eshed; Rotem Harel-Beja; Galil Tzuri; Vitaly Portnoy; Shahar Cohen; Mor Rubinstein; Arthur A Schaffer; Joseph Burger; Nurit Katzir; Ron Ophir
Journal:  Theor Appl Genet       Date:  2012-10-16       Impact factor: 5.699

3.  High-throughput marker discovery in melon using a self-designed oligo microarray.

Authors:  Ron Ophir; Ravit Eshed; Rotem Harel-Beja; Galil Tzuri; Vitaly Portnoy; Yoseph Burger; Shai Uliel; Nurit Katzir; Amir Sherman
Journal:  BMC Genomics       Date:  2010-04-28       Impact factor: 3.969

4.  Surveying expression level polymorphism and single-feature polymorphism in near-isogenic wheat lines differing for the Yr5 stripe rust resistance locus.

Authors:  Tristan E Coram; Matthew L Settles; Meinan Wang; Xianming Chen
Journal:  Theor Appl Genet       Date:  2008-05-10       Impact factor: 5.699

5.  Bulk segregant analysis using single nucleotide polymorphism microarrays.

Authors:  Anthony Becker; Dai-Yin Chao; Xu Zhang; David E Salt; Ivan Baxter
Journal:  PLoS One       Date:  2011-01-27       Impact factor: 3.240

6.  A bi-filtering method for processing single nucleotide polymorphism array data improves the quality of genetic map and accuracy of quantitative trait locus mapping in doubled haploid populations of polyploid Brassica napus.

Authors:  Guangqin Cai; Qingyong Yang; Bin Yi; Chuchuan Fan; Chunyu Zhang; David Edwards; Jacqueline Batley; Yongming Zhou
Journal:  BMC Genomics       Date:  2015-05-28       Impact factor: 3.969

7.  Extracting genotype information of Arabidopsis thaliana recombinant inbred lines from transcript profiles established with high-density oligonucleotide arrays.

Authors:  Renate Schmidt; Anastassia Boudichevskaia; Hieu Xuan Cao; Sang He; Rhonda Christiane Meyer; Jochen Christoph Reif
Journal:  Plant Cell Rep       Date:  2017-08-30       Impact factor: 4.570

8.  Identification of single nucleotide polymorphisms and analysis of linkage disequilibrium in sunflower elite inbred lines using the candidate gene approach.

Authors:  Corina M Fusari; Verónica V Lia; H Esteban Hopp; Ruth A Heinz; Norma B Paniego
Journal:  BMC Plant Biol       Date:  2008-01-23       Impact factor: 4.215

  8 in total

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