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Journal ArticleDOI

Legume proteomics: Progress, prospects, and challenges

Divya Rathi, +4 more
- 01 Jan 2016 - 
- Vol. 16, Iss: 2, pp 310-327
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TLDR
A concise overview of the progress in legume proteomics is provided and future developments in three broad perspectives are discussed: (i) proteome of organs/tissues; (ii) subcellular compartments; and (iii) spatiotemporal changes in response to stress.
Abstract
Legumes are the major sources of food and fodder with strong commercial relevance, and are essential components of agricultural ecosystems owing to their ability to carry out endosymbiotic nitrogen fixation. In recent years, legumes have become one of the major choices of plant research. The legume proteomics is currently represented by more than 100 reference maps and an equal number of stress-responsive proteomes. Among the 48 legumes in the protein databases, most proteomic studies have been accomplished in two model legumes, soybean, and barrel medic. This review highlights recent contributions in the field of legume proteomics to comprehend the defence and regulatory mechanisms during development and adaptation to climatic changes. Here, we attempted to provide a concise overview of the progress in legume proteomics and discuss future developments in three broad perspectives: (i) proteome of organs/tissues; (ii) subcellular compartments; and (iii) spatiotemporal changes in response to stress. Such data mining may aid in discovering potential biomarkers for plant growth, in general, apart from essential components involved in stress tolerance. The prospect of integrating proteome data with genome information from legumes will provide exciting opportunities for plant biologists to achieve long-term goals of crop improvement and sustainable agriculture.

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Citations
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TL;DR: In this article, the authors review some of the experience gained in earlier attempts to enhance integration and policy coherence, and to promote systems analysis, and suggest that efforts to implement a water-energy-food nexus approach will not enhance the policy process in all settings.
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Salinity stress response and ‘omics’ approaches for improving salinity stress tolerance in major grain legumes

TL;DR: Current progress in understanding the genetic makeup of salinity tolerance is reviewed and the role of germplasm resources and omics advances in improving salt tolerance of grain legumes is highlighted and scope of next generation phenotyping platforms that efficiently bridge the phenotypesing–genotyping gap is discussed.
References
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Journal ArticleDOI

Estimating genome conservation between crop and model legume species

TL;DR: Comparisons of sequenced regions of the model legume Medicago truncatula with those of the diploid Lotus japonicus and the polyploid Glycine max suggest that comparative mapping may have considerable utility for basic and applied research in the legumes, although its predictive value is likely to be tempered by phylogenetic distance and genome duplication.
Journal ArticleDOI

Evolving ideas of legume evolution and diversity: a taxonomic perspective on the occurrence of nodulation

TL;DR: Legumes evolved about 60 million years ago (Ma), and nodulation 58 Ma, with nonnodulation remains common in Caesalpinioideae, with smaller numbers in Mimosoideae and Papilionoideae.
Journal ArticleDOI

A Systematic Proteomic Study of Seed Filling in Soybean. Establishment of High-Resolution Two-Dimensional Reference Maps, Expression Profiles, and an Interactive Proteome Database

TL;DR: In this article, a high-throughput proteomic approach was employed to determine the expression profile and identity of hundreds of proteins during seed filling in soybean (Glycine max) cv Maverick.

A Systematic Proteomic Study of Seed Filling in Soybean. Establishment of High-Resolution Two-Dimensional Reference Maps, Expression Profiles, and an

TL;DR: An overall decrease in metabolism-related proteins versus an increase in proteins associated with destination and storage was observed during seed filling in soybean (Glycine max) cv Maverick, and a user-intuitive database was developed to access these data for soybean and other oilseeds currently being investigated.
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