Dataset Information

Plant proteomics in India and Nepal: current status and challenges ahead.

ABSTRACT: Plant proteomics has made tremendous contributions in understanding the complex processes of plant biology. Here, its current status in India and Nepal is discussed. Gel-based proteomics is predominantly utilized on crops and non-crops to analyze majorly abiotic (49 %) and biotic (18 %) stress, development (11 %) and post-translational modifications (7 %). Rice is the most explored system (36 %) with major focus on abiotic mainly dehydration (36 %) stress. In spite of expensive proteomics setup and scarcity of trained workforce, output in form of publications is encouraging. To boost plant proteomics in India and Nepal, researchers have discussed ground level issues among themselves and with the International Plant Proteomics Organization (INPPO) to act in priority on concerns like food security. Active collaboration may help in translating this knowledge to fruitful applications.

SUBMITTER: Deswal R

PROVIDER: S-EPMC3781272 | biostudies-literature | 2013 Oct

REPOSITORIES: biostudies-literature

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Publications

Plant proteomics in India and Nepal: current status and challenges ahead.

Deswal Renu R Gupta Ravi R Dogra Vivek V Singh Raksha R Abat Jasmeet Kaur JK Sarkar Abhijit A Mishra Yogesh Y Rai Vandana V Sreenivasulu Yelam Y Amalraj Ramesh Sundar RS Raorane Manish M Chaudhary Ram Prasad RP Kohli Ajay A Giri Ashok Prabhakar AP Chakraborty Niranjan N Zargar Sajad Majeed SM Agrawal Vishwanath Prasad VP Agrawal Ganesh Kumar GK Job Dominique D Renaut Jenny J Rakwal Randeep R

Physiology and molecular biology of plants : an international journal of functional plant biology 20131001 4

Plant proteomics has made tremendous contributions in understanding the complex processes of plant biology. Here, its current status in India and Nepal is discussed. Gel-based proteomics is predominantly utilized on crops and non-crops to analyze majorly abiotic (49 %) and biotic (18 %) stress, development (11 %) and post-translational modifications (7 %). Rice is the most explored system (36 %) with major focus on abiotic mainly dehydration (36 %) stress. In spite of expensive proteomics setup ...[more]

PMID: 24431515

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Project description:The relatively new research discipline of Eco-Metabolomics is the application of metabolomics techniques to ecology with the aim to characterise biochemical interactions of organisms across different spatial and temporal scales. Metabolomics is an untargeted biochemical approach to measure many thousands of metabolites in different species, including plants and animals. Changes in metabolite concentrations can provide mechanistic evidence for biochemical processes that are relevant at ecological scales. These include physiological, phenotypic and morphological responses of plants and communities to environmental changes and also interactions with other organisms. Traditionally, research in biochemistry and ecology comes from two different directions and is performed at distinct spatiotemporal scales. Biochemical studies most often focus on intrinsic processes in individuals at physiological and cellular scales. Generally, they take a bottom-up approach scaling up cellular processes from spatiotemporally fine to coarser scales. Ecological studies usually focus on extrinsic processes acting upon organisms at population and community scales and typically study top-down and bottom-up processes in combination. Eco-Metabolomics is a transdisciplinary research discipline that links biochemistry and ecology and connects the distinct spatiotemporal scales. In this review, we focus on approaches to study chemical and biochemical interactions of plants at various ecological levels, mainly plant?organismal interactions, and discuss related examples from other domains. We present recent developments and highlight advancements in Eco-Metabolomics over the last decade from various angles. We further address the five key challenges: (1) complex experimental designs and large variation of metabolite profiles; (2) feature extraction; (3) metabolite identification; (4) statistical analyses; and (5) bioinformatics software tools and workflows. The presented solutions to these challenges will advance connecting the distinct spatiotemporal scales and bridging biochemistry and ecology.

Dataset Information

Plant proteomics in India and Nepal: current status and challenges ahead.

Publications

Plant proteomics in India and Nepal: current status and challenges ahead.

Similar Datasets

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