Allele mining strategies: principles and utilisation for blast resistance genes in rice (Oryza sativa L.)

Allele mining is a promising way to dissect naturally occurring allelic variants of candidate genes with essential agronomic qualities. With the identification, isolation and characterisation of blast resistance genes in rice, it is now possible to dissect the actual allelic variants of these genes...

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Main Authors: Ashkani, Sadegh, Yusop, Mohd Rafii, Shabanimofrad, Mahmoodreza, Azadi, Amin, Ghasemzadeh, Ali, Azizi, Parisa, Abdul Latif, Mohammad
Format: Article
Language:English
Published: Horizon Scientific Press 2015
Online Access:http://psasir.upm.edu.my/id/eprint/36359/1/Allele%20mining%20strategies.pdf
http://psasir.upm.edu.my/id/eprint/36359/
http://www.horizonpress.com/cimb/abstracts/v17/57.html
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spelling my.upm.eprints.363592015-08-20T07:11:42Z http://psasir.upm.edu.my/id/eprint/36359/ Allele mining strategies: principles and utilisation for blast resistance genes in rice (Oryza sativa L.) Ashkani, Sadegh Yusop, Mohd Rafii Shabanimofrad, Mahmoodreza Azadi, Amin Ghasemzadeh, Ali Azizi, Parisa Abdul Latif, Mohammad Allele mining is a promising way to dissect naturally occurring allelic variants of candidate genes with essential agronomic qualities. With the identification, isolation and characterisation of blast resistance genes in rice, it is now possible to dissect the actual allelic variants of these genes within an array of rice cultivars via allele mining. Multiple alleles from the complex locus serve as a reservoir of variation to generate functional genes. The routine sequence exchange is one of the main mechanisms of R gene evolution and development. Allele mining for resistance genes can be an important method to identify additional resistance alleles and new haplotypes along with the development of allele-specific markers for use in marker-assisted selection. Allele mining can be visualised as a vital link between effective utilisation of genetic and genomic resources in genomics-driven modern plant breeding. This review studies the actual concepts and potential of mining approaches for the discovery of alleles and their utilisation for blast resistance genes in rice. The details provided here will be important to provide the rice breeder with a worthwhile introduction to allele mining and its methodology for breakthrough discovery of fresh alleles hidden in hereditary diversity, which is vital for crop improvement. Horizon Scientific Press 2015 Article PeerReviewed application/pdf en http://psasir.upm.edu.my/id/eprint/36359/1/Allele%20mining%20strategies.pdf Ashkani, Sadegh and Yusop, Mohd Rafii and Shabanimofrad, Mahmoodreza and Azadi, Amin and Ghasemzadeh, Ali and Azizi, Parisa and Abdul Latif, Mohammad (2015) Allele mining strategies: principles and utilisation for blast resistance genes in rice (Oryza sativa L.). Current Issues in Molecular Biology, 17. pp. 57-74. ISSN 1467-3037; ESSN: 1467-3045 http://www.horizonpress.com/cimb/abstracts/v17/57.html
institution Universiti Putra Malaysia
building UPM Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Putra Malaysia
content_source UPM Institutional Repository
url_provider http://psasir.upm.edu.my/
language English
description Allele mining is a promising way to dissect naturally occurring allelic variants of candidate genes with essential agronomic qualities. With the identification, isolation and characterisation of blast resistance genes in rice, it is now possible to dissect the actual allelic variants of these genes within an array of rice cultivars via allele mining. Multiple alleles from the complex locus serve as a reservoir of variation to generate functional genes. The routine sequence exchange is one of the main mechanisms of R gene evolution and development. Allele mining for resistance genes can be an important method to identify additional resistance alleles and new haplotypes along with the development of allele-specific markers for use in marker-assisted selection. Allele mining can be visualised as a vital link between effective utilisation of genetic and genomic resources in genomics-driven modern plant breeding. This review studies the actual concepts and potential of mining approaches for the discovery of alleles and their utilisation for blast resistance genes in rice. The details provided here will be important to provide the rice breeder with a worthwhile introduction to allele mining and its methodology for breakthrough discovery of fresh alleles hidden in hereditary diversity, which is vital for crop improvement.
format Article
author Ashkani, Sadegh
Yusop, Mohd Rafii
Shabanimofrad, Mahmoodreza
Azadi, Amin
Ghasemzadeh, Ali
Azizi, Parisa
Abdul Latif, Mohammad
spellingShingle Ashkani, Sadegh
Yusop, Mohd Rafii
Shabanimofrad, Mahmoodreza
Azadi, Amin
Ghasemzadeh, Ali
Azizi, Parisa
Abdul Latif, Mohammad
Allele mining strategies: principles and utilisation for blast resistance genes in rice (Oryza sativa L.)
author_facet Ashkani, Sadegh
Yusop, Mohd Rafii
Shabanimofrad, Mahmoodreza
Azadi, Amin
Ghasemzadeh, Ali
Azizi, Parisa
Abdul Latif, Mohammad
author_sort Ashkani, Sadegh
title Allele mining strategies: principles and utilisation for blast resistance genes in rice (Oryza sativa L.)
title_short Allele mining strategies: principles and utilisation for blast resistance genes in rice (Oryza sativa L.)
title_full Allele mining strategies: principles and utilisation for blast resistance genes in rice (Oryza sativa L.)
title_fullStr Allele mining strategies: principles and utilisation for blast resistance genes in rice (Oryza sativa L.)
title_full_unstemmed Allele mining strategies: principles and utilisation for blast resistance genes in rice (Oryza sativa L.)
title_sort allele mining strategies: principles and utilisation for blast resistance genes in rice (oryza sativa l.)
publisher Horizon Scientific Press
publishDate 2015
url http://psasir.upm.edu.my/id/eprint/36359/1/Allele%20mining%20strategies.pdf
http://psasir.upm.edu.my/id/eprint/36359/
http://www.horizonpress.com/cimb/abstracts/v17/57.html
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