Literature DB >> 20188810

Allele mining in crops: prospects and potentials.

G Ram Kumar1, K Sakthivel, R M Sundaram, C N Neeraja, S M Balachandran, N Shobha Rani, B C Viraktamath, M S Madhav.   

Abstract

Enormous sequence information is available in public databases as a result of sequencing of diverse crop genomes. It is important to use this genomic information for the identification and isolation of novel and superior alleles of agronomically important genes from crop gene pools to suitably deploy for the development of improved cultivars. Allele mining is a promising approach to dissect naturally occurring allelic variation at candidate genes controlling key agronomic traits which has potential applications in crop improvement programs. It helps in tracing the evolution of alleles, identification of new haplotypes and development of allele-specific markers for use in marker-assisted selection. Realizing the immense potential of allele mining, concerted allele mining efforts are underway in many international crop research institutes. This review examines the concepts, approaches and applications of allele mining along with the challenges associated while emphasizing the need for more refined 'mining' strategies for accelerating the process of allele discovery and its utilization in molecular breeding.

Mesh:

Year:  2010        PMID: 20188810     DOI: 10.1016/j.biotechadv.2010.02.007

Source DB:  PubMed          Journal:  Biotechnol Adv        ISSN: 0734-9750            Impact factor:   14.227


  32 in total

1.  Intron-length polymorphism identifies a Y2K4 dehydrin variant linked to superior freezing tolerance in alfalfa.

Authors:  Yves Castonguay; Marie-Pier Dubé; Jean Cloutier; Réal Michaud; Annick Bertrand; Serge Laberge
Journal:  Theor Appl Genet       Date:  2011-11-09       Impact factor: 5.699

2.  Isolation and expression analysis of EcbZIP17 from different finger millet genotypes shows conserved nature of the gene.

Authors:  Ramakrishna Chopperla; Sonam Singh; Sasmita Mohanty; Nanja Reddy; Jasdeep C Padaria; Amolkumar U Solanke
Journal:  3 Biotech       Date:  2017-09-21       Impact factor: 2.406

3.  Nucleotide variation and identification of novel blast resistance alleles of Pib by allele mining strategy.

Authors:  G Ramkumar; M S Madhav; S J S Rama Devi; M S Prasad; V Ravindra Babu
Journal:  Physiol Mol Biol Plants       Date:  2015-03-11

4.  The Predicted Cross Value for Genetic Introgression of Multiple Alleles.

Authors:  Ye Han; John N Cameron; Lizhi Wang; William D Beavis
Journal:  Genetics       Date:  2017-01-25       Impact factor: 4.562

5.  Analysis of natural variation of the rice blast resistance gene Pike and identification of a novel allele Pikg.

Authors:  Fen Meng; Yonggang He; Jing Chen; Xia Long; He Wang; Menghao Zhu; Shaojia Liu; Qiang Cai; Zhihong Zhang
Journal:  Mol Genet Genomics       Date:  2021-05-09       Impact factor: 3.291

6.  Retention of agronomically important variation in germplasm core collections: implications for allele mining.

Authors:  Patrick A Reeves; Lee W Panella; Christopher M Richards
Journal:  Theor Appl Genet       Date:  2012-01-07       Impact factor: 5.699

7.  Haplotype variability and identification of new functional alleles at the Rdg2a leaf stripe resistance gene locus.

Authors:  Chiara Biselli; Simona Urso; Gianni Tacconi; Burkhard Steuernagel; Daniela Schulte; Alberto Gianinetti; Paolo Bagnaresi; Nils Stein; Luigi Cattivelli; Giampiero Valè
Journal:  Theor Appl Genet       Date:  2013-03-15       Impact factor: 5.699

8.  QTL mapping and comparative genome analysis of agronomic traits including grain yield in winter rye.

Authors:  Bernd Hackauf; Stefan Haffke; Franz Joachim Fromme; Steffen R Roux; Barbara Kusterer; Dörthe Musmann; Andrzej Kilian; Thomas Miedaner
Journal:  Theor Appl Genet       Date:  2017-05-31       Impact factor: 5.699

9.  Tracing soybean domestication history: From nucleotide to genome.

Authors:  Moon Young Kim; Kyujung Van; Yang Jae Kang; Kil Hyun Kim; Suk-Ha Lee
Journal:  Breed Sci       Date:  2012-02-04       Impact factor: 2.086

Review 10.  A platform for soybean molecular breeding: the utilization of core collections for food security.

Authors:  Li-Juan Qiu; Li-Li Xing; Yong Guo; Jun Wang; Scott A Jackson; Ru-Zhen Chang
Journal:  Plant Mol Biol       Date:  2013-05-25       Impact factor: 4.076

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