Literature DB >> 23279710

Discovery and development of exome-based, co-dominant single nucleotide polymorphism markers in hexaploid wheat (Triticum aestivum L.).

Alexandra M Allen1, Gary L A Barker, Paul Wilkinson, Amanda Burridge, Mark Winfield, Jane Coghill, Cristobal Uauy, Simon Griffiths, Peter Jack, Simon Berry, Peter Werner, James P E Melichar, Jane McDougall, Rhian Gwilliam, Phil Robinson, Keith J Edwards.   

Abstract

Globally, wheat is the most widely grown crop and one of the three most important crops for human and livestock feed. However, the complex nature of the wheat genome has, until recently, resulted in a lack of single nucleotide polymorphism (SNP)-based molecular markers of practical use to wheat breeders. Recently, large numbers of SNP-based wheat markers have been made available via the use of next-generation sequencing combined with a variety of genotyping platforms. However, many of these markers and platforms have difficulty distinguishing between heterozygote and homozygote individuals and are therefore of limited use to wheat breeders carrying out commercial-scale breeding programmes. To identify exome-based co-dominant SNP-based assays, which are capable of distinguishing between heterozygotes and homozygotes, we have used targeted re-sequencing of the wheat exome to generate large amounts of genomic sequences from eight varieties. Using a bioinformatics approach, these sequences have been used to identify 95 266 putative single nucleotide polymorphisms, of which 10 251 were classified as being putatively co-dominant. Validation of a subset of these putative co-dominant markers confirmed that 96% were true polymorphisms and 65% were co-dominant SNP assays. The new co-dominant markers described here are capable of genotypic classification of a segregating locus in polyploid wheat and can be used on a variety of genotyping platforms; as such, they represent a powerful tool for wheat breeders. These markers and related information have been made publically available on an interactive web-based database to facilitate their use on genotyping programmes worldwide.
© 2012 The Authors Plant Biotechnology Journal © 2012 Society for Experimental Biology, Association of Applied Biologists and Blackwell Publishing Ltd.

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Year:  2012        PMID: 23279710     DOI: 10.1111/pbi.12009

Source DB:  PubMed          Journal:  Plant Biotechnol J        ISSN: 1467-7644            Impact factor:   9.803


  53 in total

1.  Applying association mapping and genomic selection to the dissection of key traits in elite European wheat.

Authors:  Alison R Bentley; Marco Scutari; Nicolas Gosman; Sebastien Faure; Felicity Bedford; Phil Howell; James Cockram; Gemma A Rose; Tobias Barber; Jose Irigoyen; Richard Horsnell; Claire Pumfrey; Emma Winnie; Johannes Schacht; Katia Beauchêne; Sebastien Praud; Andy Greenland; David Balding; Ian J Mackay
Journal:  Theor Appl Genet       Date:  2014-10-02       Impact factor: 5.699

Review 2.  Genetic and molecular bases of yield-associated traits: a translational biology approach between rice and wheat.

Authors:  Ravi Valluru; Matthew P Reynolds; Jerome Salse
Journal:  Theor Appl Genet       Date:  2014-06-10       Impact factor: 5.699

3.  Characterization of genetic diversity and population structure in wheat using array based SNP markers.

Authors:  Deepender Kumar; Vinod Chhokar; Sonia Sheoran; Rajender Singh; Pradeep Sharma; Sarika Jaiswal; M A Iquebal; Akanksha Jaiswar; J Jaisri; U B Angadi; Anil Rai; G P Singh; Dinesh Kumar; Ratan Tiwari
Journal:  Mol Biol Rep       Date:  2019-10-19       Impact factor: 2.316

4.  Genome-wide marker development for the wheat D genome based on single nucleotide polymorphisms identified from transcripts in the wild wheat progenitor Aegilops tauschii.

Authors:  Julio Cesar Masaru Iehisa; Akifumi Shimizu; Kazuhiro Sato; Ryo Nishijima; Kouhei Sakaguchi; Ryusuke Matsuda; Shuhei Nasuda; Shigeo Takumi
Journal:  Theor Appl Genet       Date:  2013-10-25       Impact factor: 5.699

5.  Genetic diversity and population structure analysis of synthetic and bread wheat accessions in Western Siberia.

Authors:  Madhav Bhatta; Vladimir Shamanin; Sergey Shepelev; P Stephen Baenziger; Violetta Pozherukova; Inna Pototskaya; Alexey Morgounov
Journal:  J Appl Genet       Date:  2019-08-14       Impact factor: 3.240

6.  High-throughput SNP genotyping of modern and wild emmer wheat for yield and root morphology using a combined association and linkage analysis.

Authors:  Stuart J Lucas; Ayten Salantur; Selami Yazar; Hikmet Budak
Journal:  Funct Integr Genomics       Date:  2017-05-26       Impact factor: 3.410

7.  CerealsDB: A Whistle-Stop Tour of an Open Access SNP Resource.

Authors:  Mark Winfield; Paul Wilkinson; Amanda Burridge; Alexandra Allen; Jane Coghill; Christy Waterfall; Keith Edwards; Gary Barker
Journal:  Methods Mol Biol       Date:  2022

8.  Genetic analysis of a novel broad-spectrum powdery mildew resistance gene from the wheat-Agropyron cristatum introgression line Pubing 74.

Authors:  Yuqing Lu; Miaomiao Yao; Jinpeng Zhang; Liqiang Song; Weihua Liu; Xinming Yang; Xiuquan Li; Lihui Li
Journal:  Planta       Date:  2016-04-28       Impact factor: 4.116

9.  Strategy for exploiting exotic germplasm using genetic, morphological, and environmental diversity: the Aegilops tauschii Coss. example.

Authors:  H Jones; N Gosman; R Horsnell; G A Rose; L A Everest; A R Bentley; S Tha; C Uauy; A Kowalski; D Novoselovic; R Simek; B Kobiljski; A Kondic-Spika; L Brbaklic; O Mitrofanova; Y Chesnokov; D Bonnett; A Greenland
Journal:  Theor Appl Genet       Date:  2013-04-05       Impact factor: 5.699

10.  SNP-based pool genotyping and haplotype analysis accelerate fine-mapping of the wheat genomic region containing stripe rust resistance gene Yr26.

Authors:  Jianhui Wu; Qingdong Zeng; Qilin Wang; Shengjie Liu; Shizhou Yu; Jingmei Mu; Shuo Huang; Hanan Sela; Assaf Distelfeld; Lili Huang; Dejun Han; Zhensheng Kang
Journal:  Theor Appl Genet       Date:  2018-04-17       Impact factor: 5.699

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