Literature DB >> 26563903

Legume proteomics: Progress, prospects, and challenges.

Divya Rathi1, Dipak Gayen1, Saurabh Gayali1, Subhra Chakraborty1, Niranjan Chakraborty1.   

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.
© 2015 WILEY-VCH Verlag GmbH & Co. KGaA, Weinheim.

Entities:  

Keywords:  Crop improvement; Legumes; Nitrogen fixation; Plant proteomics; ROS detoxification; Stress response

Mesh:

Substances:

Year:  2015        PMID: 26563903     DOI: 10.1002/pmic.201500257

Source DB:  PubMed          Journal:  Proteomics        ISSN: 1615-9853            Impact factor:   3.984


  8 in total

Review 1.  Salinity stress response and 'omics' approaches for improving salinity stress tolerance in major grain legumes.

Authors:  Uday Chand Jha; Abhishek Bohra; Rintu Jha; Swarup Kumar Parida
Journal:  Plant Cell Rep       Date:  2019-01-12       Impact factor: 4.570

2.  Transcriptome profiling illustrates expression signatures of dehydration tolerance in developing grasspea seedlings.

Authors:  Divya Rathi; Saurabh Gayali; Akanksha Pareek; Subhra Chakraborty; Niranjan Chakraborty
Journal:  Planta       Date:  2019-01-10       Impact factor: 4.116

Review 3.  Food Legumes and Rising Temperatures: Effects, Adaptive Functional Mechanisms Specific to Reproductive Growth Stage and Strategies to Improve Heat Tolerance.

Authors:  Kumari Sita; Akanksha Sehgal; Bindumadhava HanumanthaRao; Ramakrishnan M Nair; P V Vara Prasad; Shiv Kumar; Pooran M Gaur; Muhammad Farooq; Kadambot H M Siddique; Rajeev K Varshney; Harsh Nayyar
Journal:  Front Plant Sci       Date:  2017-10-04       Impact factor: 5.753

4.  PpTFDB: A pigeonpea transcription factor database for exploring functional genomics in legumes.

Authors:  Akshay Singh; Ajay Kumar Sharma; Nagendra Kumar Singh; Tilak Raj Sharma
Journal:  PLoS One       Date:  2017-06-26       Impact factor: 3.240

Review 5.  Bringing New Methods to the Seed Proteomics Platform: Challenges and Perspectives.

Authors:  Galina Smolikova; Daria Gorbach; Elena Lukasheva; Gregory Mavropolo-Stolyarenko; Tatiana Bilova; Alena Soboleva; Alexander Tsarev; Ekaterina Romanovskaya; Ekaterina Podolskaya; Vladimir Zhukov; Igor Tikhonovich; Sergei Medvedev; Wolfgang Hoehenwarter; Andrej Frolov
Journal:  Int J Mol Sci       Date:  2020-12-01       Impact factor: 5.923

Review 6.  Constraints and Prospects of Improving Cowpea Productivity to Ensure Food, Nutritional Security and Environmental Sustainability.

Authors:  Olawale Israel Omomowo; Olubukola Oluranti Babalola
Journal:  Front Plant Sci       Date:  2021-10-22       Impact factor: 6.627

7.  One-step production of N-O-P-S co-doped porous carbon from bean worms for supercapacitors with high performance.

Authors:  Zhentao Bian; Chunjie Wu; Chenglong Yuan; Ying Wang; Guangzhen Zhao; Hongyan Wang; Yong Xie; Cong Wang; Guang Zhu; Chong Chen
Journal:  RSC Adv       Date:  2020-08-21       Impact factor: 4.036

8.  Multiple marker abundance profiling: combining selected reaction monitoring and data-dependent acquisition for rapid estimation of organelle abundance in subcellular samples.

Authors:  Cornelia M Hooper; Tim J Stevens; Anna Saukkonen; Ian R Castleden; Pragya Singh; Gregory W Mann; Bertrand Fabre; Jun Ito; Michael J Deery; Kathryn S Lilley; Christopher J Petzold; A Harvey Millar; Joshua L Heazlewood; Harriet T Parsons
Journal:  Plant J       Date:  2017-11-20       Impact factor: 6.417

  8 in total

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