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Emerging Genomic Tools for Legume Breeding: Current Status and Future Prospects

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TLDR
An overview of emerging genomics and informatics tools/approaches that will be the key driving force for accelerating genomics-assisted breeding and ultimately ensuring nutritional and food security in developing countries is provided.
Abstract
Legumes play a vital role in ensuring global nutritional food security and improving soil quality through nitrogen fixation. Accelerated higher genetic gain is required to meet the demand of ever increasing global population. In recent years, speedy developments have been witnessed in legume genomics due to advancements in next-generation sequencing (NGS) and high-throughput genotyping technologies. Reference genome sequences for many legume crops have been reported in the last five years. The availability of draft genome sequences and re-sequencing of elite genotypes for several important legume crops have made it possible to identify structural variations at large scale. Availability of large-scale resources and low-cost and high-throughput genotyping technologies are enhancing the efficiency and resolution of genetic mapping and marker-trait association studies. Most importantly, deployment of molecular breeding approaches has resulted in development of improved lines in some legume crops such as chickpea and groundnut. In order to support genomics-driven crop improvement at a fast pace, the deployment of breeder-friendly genomics and decision support tools seem appear to be critical in breeding programs in developing countries. This review provides an overview of emerging genomics and informatics tools/approaches that will be the key driving force for accelerating genomics-assisted breeding and ultimately ensuring nutritional and food security in developing countries.

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Journal ArticleDOI

Crop Breeding Chips and Genotyping Platforms: Progress, Challenges, and Perspectives

TL;DR: It is proposed that future practical breeding platforms should adopt automated genotyping technologies, either array or sequencing based, target functional polymorphisms underpinning economic traits, and provide desirable prediction accuracy for quantitative traits, with universal applications under wide genetic backgrounds in crops.
Journal ArticleDOI

Metabolomics for Plant Improvement: Status and Prospects.

TL;DR: The present review captures the significant leads gained in the past decade in the field of plant metabolomics accompanied by a brief discussion on the current contribution and the future scope of metabolomics to accelerate plant improvement.
Journal ArticleDOI

Effects, tolerance mechanisms and management of salt stress in grain legumes.

TL;DR: The effects, tolerance mechanisms and management of salt stress in grain legumes are discussed and the integration of screening, innovative breeding, and the development of transgenics and crop management strategies may enhance salt tolerance and yield ingrain legumes on salt-affected soils.
References
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Journal ArticleDOI

Analysis of the genome sequence of the flowering plant Arabidopsis thaliana.

TL;DR: This is the first complete genome sequence of a plant and provides the foundations for more comprehensive comparison of conserved processes in all eukaryotes, identifying a wide range of plant-specific gene functions and establishing rapid systematic ways to identify genes for crop improvement.
Journal ArticleDOI

Prediction of Total Genetic Value Using Genome-Wide Dense Marker Maps

TL;DR: It was concluded that selection on genetic values predicted from markers could substantially increase the rate of genetic gain in animals and plants, especially if combined with reproductive techniques to shorten the generation interval.
Journal ArticleDOI

A Robust, Simple Genotyping-by-Sequencing (GBS) Approach for High Diversity Species

TL;DR: A procedure for constructing GBS libraries based on reducing genome complexity with restriction enzymes (REs) is reported, which is simple, quick, extremely specific, highly reproducible, and may reach important regions of the genome that are inaccessible to sequence capture approaches.
Journal ArticleDOI

The map-based sequence of the rice genome

Takashi Matsumoto, +265 more
- 11 Aug 2005 - 
TL;DR: A map-based, finished quality sequence that covers 95% of the 389 Mb rice genome, including virtually all of the euchromatin and two complete centromeres, and finds evidence for widespread and recurrent gene transfer from the organelles to the nuclear chromosomes.
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