作者: Abhishek Bohra Abhishek Bohra , NP Singh , None
DOI: 10.1007/S10529-015-1836-Y
关键词: Biology 、 Genome 、 Quantitative trait locus 、 Phenome 、 Genome editing 、 Genetic diversity 、 Computational biology 、 Genotyping 、 Genomics 、 Gene pool 、 Biotechnology
摘要: Unprecedented developments in legume genomics over the last decade have resulted acquisition of a wide range modern genomic resources to underpin genetic improvement grain legumes. The genome enabled insights direct investigators various ways that primarily include unearthing novel structural variations, retrieving lost diversity, introducing novel/exotic alleles from wider gene pools, finely resolving complex quantitative traits and so forth. To this end, ready availability cost-efficient high-density genotyping assays allows prediction be increasingly recognized as key selection criterion crop breeding. Further, high-dimensional measurements agronomically significant phenotypes obtained by using new-generation screening techniques will empower reference based resequencing well allele mining trait mapping methods comprehensively associate diversity with phenome scale variation. Besides stimulating forward systems, accessibility precisely delineated segments reveals candidates for reverse like targeted editing. shifting paradigm plant turn necessitates optimization breeding strategies enable most efficient integration advanced omics knowledge tools. We anticipate schemes bolstered remarkably rational deployment these genome-guided approaches, ultimately resulting expanded capacities improved performance.