4.7 Article

Molecular mechanisms underlying postharvest physiology and metabolism of fruit and vegetables through multi-omics technologies

期刊

SCIENTIA HORTICULTURAE
卷 324, 期 -, 页码 -

出版社

ELSEVIER
DOI: 10.1016/j.scienta.2023.112562

关键词

Biological process; Fruits and vegetables; Genomics; Metabolomics; Postharvest; Proteomics; Transcriptomics

向作者/读者索取更多资源

Multi-omics approaches play a critical role in postharvest research of fruits and vegetables, providing insights into molecular mechanisms and biological processes, optimizing postharvest practices, improving product quality, and prolonging shelf-life.
Multi-omics approaches, involving genomics, transcriptomics, proteomics, and metabolomics, can provide comprehensive insights into the molecular mechanisms underlying the postharvest physiology and metabolism of fruits and vegetables. Integration of multiple omics analysis can illustrate the complex metabolomic and biological processes that determine the quality and nutritional attributes of fruits and vegetables. Understanding these mechanisms would enhance our insight into the comprehensive analysis of fruit and vegetable physiological and biological processes, enabling better postharvest management approaches. This review summarizes recent insights into the application of multi-omics technologies, including transcriptomics, proteomics, and metabolomics, in postharvest research, with a particular focus on the postharvest physiology and metabolism associated with the postharvest ripening, quality, chilling injury, postharvest decay, and senescence of fruits and vegetables. We focused on various aspects of how multi-omics approaches have been used to enhance our understanding of the physiology and molecular processes of fruits and vegetables during postharvest stages. This comprehensive approach aims to optimize postharvest practices, improve product quality, prolong shelf-life, and enhance the overall management of harvested and stored produce.

作者

我是这篇论文的作者
点击您的名字以认领此论文并将其添加到您的个人资料中。

评论

主要评分

4.7
评分不足

次要评分

新颖性
-
重要性
-
科学严谨性
-
评价这篇论文

推荐

暂无数据
暂无数据