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植物非生物胁迫响应的生物信息学资源:快速发展的组学时代的现状与机遇

Bioinformatics Resources for Plant Abiotic Stress Responses: State of the Art and Opportunities in the Fast Evolving -Omics Era.

作者信息

Ambrosino Luca, Colantuono Chiara, Diretto Gianfranco, Fiore Alessia, Chiusano Maria Luisa

机构信息

Department of Agricultural Sciences, University of Naples Federico II, 80055 Portici (Na), Italy.

Department of Research Infrastructures for Marine Biological Resources (RIMAR), 80121 Naples, Italy.

出版信息

Plants (Basel). 2020 May 6;9(5):591. doi: 10.3390/plants9050591.

Abstract

Abiotic stresses are among the principal limiting factors for productivity in agriculture. In the current era of continuous climate changes, the understanding of the molecular aspects involved in abiotic stress response in plants is a priority. The rise of -omics approaches provides key strategies to promote effective research in the field, facilitating the investigations from reference models to an increasing number of species, tolerant and sensitive genotypes. Integrated multilevel approaches, based on molecular investigations at genomics, transcriptomics, proteomics and metabolomics levels, are now feasible, expanding the opportunities to clarify key molecular aspects involved in responses to abiotic stresses. To this aim, bioinformatics has become fundamental for data production, mining and integration, and necessary for extracting valuable information and for comparative efforts, paving the way to the modeling of the involved processes. We provide here an overview of bioinformatics resources for research on plant abiotic stresses, describing collections from -omics efforts in the field, ranging from raw data to complete databases or platforms, highlighting opportunities and still open challenges in abiotic stress research based on -omics technologies.

摘要

非生物胁迫是农业生产力的主要限制因素之一。在当前气候变化不断的时代,了解植物非生物胁迫响应所涉及的分子层面是当务之急。“组学”方法的兴起提供了关键策略,以推动该领域的有效研究,促进从参考模型到越来越多物种、耐受和敏感基因型的研究。基于基因组学、转录组学、蛋白质组学和代谢组学水平的分子研究的综合多层次方法现在是可行的,扩大了阐明非生物胁迫响应中关键分子层面的机会。为此,生物信息学已成为数据生产、挖掘和整合的基础,也是提取有价值信息和进行比较研究的必要条件,为相关过程的建模铺平了道路。我们在此概述用于植物非生物胁迫研究的生物信息学资源,描述该领域“组学”研究的成果集合,从原始数据到完整的数据库或平台,强调基于“组学”技术的非生物胁迫研究中的机遇和仍存在的挑战。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/cbad/7285221/ff61ac4d9b04/plants-09-00591-g001.jpg

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