Literature DB >> 32481190

Functional genomics to study stress responses in crop legumes: progress and prospects.

Himabindu Kudapa1, Abirami Ramalingam1, Swapna Nayakoti1, Xiaoping Chen2, Wei-Jian Zhuang3, Xuanqiang Liang2, Guenter Kahl4, David Edwards5, Rajeev K Varshney1.   

Abstract

Legumes are important food crops worldwide, contributing to more than 33% of human dietary protein. The production of crop legumes is frequently impacted by abiotic and biotic stresses. It is therefore important to identify genes conferring resistance to biotic stresses and tolerance to abiotic stresses that can be used to both understand molecular mechanisms of plant response to the environment and to accelerate crop improvement. Recent advances in genomics offer a range of approaches such as the sequencing of genomes and transcriptomes, gene expression microarray as well as RNA-seq based gene expression profiling, and map-based cloning for the identification and isolation of biotic and abiotic stress-responsive genes in several crop legumes. These candidate stress associated genes should provide insights into the molecular mechanisms of stress tolerance and ultimately help to develop legume varieties with improved stress tolerance and productivity under adverse conditions. This review provides an overview on recent advances in the functional genomics of crop legumes that includes the discovery as well as validation of candidate genes.

Entities:  

Year:  2013        PMID: 32481190     DOI: 10.1071/FP13191

Source DB:  PubMed          Journal:  Funct Plant Biol        ISSN: 1445-4416            Impact factor:   3.101


  2 in total

Review 1.  Metabolome Profiling: A Breeding Prediction Tool for Legume Performance under Biotic Stress Conditions.

Authors:  Penny Makhumbila; Molemi Rauwane; Hangwani Muedi; Sandiswa Figlan
Journal:  Plants (Basel)       Date:  2022-07-01

Review 2.  Genomics Associated Interventions for Heat Stress Tolerance in Cool Season Adapted Grain Legumes.

Authors:  Jitendra Kumar; Reyazul Rouf Mir; Safoora Shafi; Debjyoti Sen Gupta; Ivica Djalovic; Jegor Miladinovic; Rahul Kumar; Sachin Kumar; Rajeev Kumar
Journal:  Int J Mol Sci       Date:  2021-12-30       Impact factor: 5.923

  2 in total

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