Genetic Augmentation of Legume Crops Using Genomic Resources and Genotyping Platforms for Nutritional Food Security

Abstract

Recent advances in next generation sequencing (NGS) technologies have led the surge of genomic resources for the improvement legume crops. Advances in high throughput genotyping (HTG) and high throughput phenotyping (HTP) enable legume breeders to improve legume crops more precisely and efficiently. Now, the legume breeder can reshuffle the natural gene combinations of their choice to enhance the genetic potential of crops. These genomic resources are efficiently deployed through molecular breeding approaches for genetic augmentation of important legume crops, such as chickpea, cowpea, pigeonpea, groundnut, common bean, lentil, pea, as well as other underutilized legume crops. In the future, advances in NGS, HTG, and HTP technologies will help in the identification and assembly of superior haplotypes to tailor the legume crop varieties through haplotype-based breeding. This review article focuses on the recent development of genomic resource databases and their deployment in legume molecular breeding programmes to secure global food security.

The Prospects of gene introgression from crop wild relatives into cultivated lentil for climate change mitigation

“…Recent advances in large-scale genome analyses, such as next generation sequencing (NGS), high throughput genotyping (HTG) and high throughput phenotyping (HTP) have added to the breadth of genetic diversity, development of genomic resources databases and knowledge on phylogenetics in the genus Lens. This information can be used for precise and efficient molecular genetic improvement and enhancement programs of lentils ( Kumar et al., 2021 ; Pratap et al., 2021 ; Hussain et al., 2022 ; Salaria et al., 2022 ; Salgotra and Stewart, 2022 ; Singh et al., 2022a ; Tiwari et al., 2022 ; Civantos-Go´ mez et al., 2022 ; Roy et al., 2023 ; Zeroual et al., 2023 ) similar to what has been achieved in major crops such as rice, wheat and maize ( Yoshino et al., 2019 ; Mishra et al., 2021 ).…”