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Original Article

Transcriptomic, Proteomic, Metabolomic and Functional Genomic Approaches for the Study of Abiotic Stress in Vegetable Crops

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Abstract

Vegetables are plants or portion of plants cultivated for food with a savory flavor and considerably nutritional value with little protein or fat. The yield and quality of vegetable crops are affected by various abiotic stresses, such as drought, salinity and low and high temperatures. Higher plants have evolved a series of complex responses in order to adapt to a single or multiple stresses. Recently, high-throughput sequencing has brought powerful and efficient research tools that can lead to a better understanding of the molecular mechanisms behind stress in plants. Many molecular markers, functional and regulatory genes have been discovered based on the genome sequencing. The new technologies, such as transcriptome analysis, digital gene expression, deep sequencing of small RNAs, proteomics, metabolomics, etc. should pave new avenues for studying stress resistance in vegetable crops. Here, we review recent progresses in the transcriptomic, proteomic, metabolomic and functional genomic approaches that have been used in the field of abiotic stress with vegetable crops. The perspectives on future research and improvement of vegetable crops through applied genomics are provided.

ACKNOWLEDGEMENTS

We thank the anonymous reviewers for the helpful comments on the manuscript. We are grateful to Prof. Max Cheng (Department of Plant Sciences, University of Tennessee, USA) for his useful comments and critical review on the manuscript. We thank Dr. John Vidmar (Alberta Innovates - Technology Futures, Canada) for critical review of the manuscript. The research was supported by the New Century Excellent Talents in University (NCET-11-0670); Jiangsu Natural Science Foundation (BK20130027); National Natural Science Foundation of China (31272175, 31200520, 31201633); Priority Academic Program Development of Jiangsu Higher Education Institutions and Jiangsu Shuangchuang Project.

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