title: Whole genome sequences in pulse crops: a global community resource to expedite translational genomics and knowledge-based crop improvement.
abstract: Unprecedented developments in legume genomics over the last decade have resulted in the acquisition of a wide range of modern genomic resources to underpin genetic improvement of grain legumes. The genome enabled insights direct investigators in various ways that primarily include unearthing novel structural variations, retrieving the lost genetic diversity, introducing novel/exotic alleles from wider gene pools, finely resolving the complex quantitative traits and so forth. To this end, ready availability of cost-efficient and high-density genotyping assays allows genome wide prediction to be increasingly recognized as the key selection criterion in crop breeding. Further, the high-dimensional measurements of agronomically significant phenotypes obtained by using new-generation screening techniques will empower reference based resequencing as well as allele mining and trait mapping methods to comprehensively associate genome diversity with the phenome scale variation. Besides stimulating the forward genetic systems, accessibility to precisely delineated genomic segments reveals novel candidates for reverse genetic techniques like targeted genome editing. The shifting paradigm in plant genomics in turn necessitates optimization of crop breeding strategies to enable the most efficient integration of advanced omics knowledge and tools. We anticipate that the crop improvement schemes will be bolstered remarkably with rational deployment of these genome-guided approaches, ultimately resulting in expanded plant breeding capacities and improved crop performance.
authors: Indian Institute of Pulses Research (IIPR), Kanpur, 208024, India, abhi.omics@gmail.com.
authors: Abhishek
authors: A
authors: Bohra
authors: Narendra P
authors: NP
authors: Singh
mesh_terms: D019295:Computational Biology; D018556:Crops, Agricultural / Q000235:genetics*; D018745:Genome, Plant; D023281:Genomics / Q000379:methods*; D017422:Sequence Analysis, DNA