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盐胁迫耐受性和组学方法:重新审视主要谷类作物的进展和成就。

Salinity stress tolerance and omics approaches: revisiting the progress and achievements in major cereal crops.

机构信息

ICAR-Indian Institute of Maize Research, Ludhiana, Punjab, 141004, India.

School of Agriculture & Environment, The University of Western Australia, Perth, WA, 6009, Australia.

出版信息

Heredity (Edinb). 2022 Jun;128(6):497-518. doi: 10.1038/s41437-022-00516-2. Epub 2022 Mar 5.

Abstract

Salinity stress adversely affects plant growth and causes considerable losses in cereal crops. Salinity stress tolerance is a complex phenomenon, imparted by the interaction of compounds involved in various biochemical and physiological processes. Conventional breeding for salt stress tolerance has had limited success. However, the availability of molecular marker-based high-density linkage maps in the last two decades boosted genomics-based quantitative trait loci (QTL) mapping and QTL-seq approaches for fine mapping important major QTL for salinity stress tolerance in rice, wheat, and maize. For example, in rice, 'Saltol' QTL was successfully introgressed for tolerance to salt stress, particularly at the seedling stage. Transcriptomics, proteomics and metabolomics also offer opportunities to decipher and understand the molecular basis of stress tolerance. The use of proteomics and metabolomics-based metabolite markers can serve as an efficient selection tool as a substitute for phenotype-based selection. This review covers the molecular mechanisms for salinity stress tolerance, recent progress in mapping and introgressing major gene/QTL (genomics), transcriptomics, proteomics, and metabolomics in major cereals, viz., rice, wheat and maize.

摘要

盐胁迫会对植物生长造成不利影响,导致谷类作物的大量减产。盐胁迫耐受是一种复杂的现象,由涉及各种生化和生理过程的化合物相互作用赋予。传统的耐盐性育种取得的成功有限。然而,在过去二十年中,基于分子标记的高密度连锁图谱的可用性,极大地促进了基于基因组学的数量性状位点(QTL)图谱构建和 QTL-seq 方法,用于精细定位水稻、小麦和玉米中耐盐胁迫的重要主要 QTL。例如,在水稻中,成功地导入了“Saltol”QTL 以提高对盐胁迫的耐受性,特别是在幼苗期。转录组学、蛋白质组学和代谢组学也为破译和理解胁迫耐受的分子基础提供了机会。基于蛋白质组学和代谢组学的代谢物标志物的使用可以作为替代表型选择的有效选择工具。本综述涵盖了盐胁迫耐受的分子机制,以及在主要谷物(即水稻、小麦和玉米)中进行主要基因/QTL(基因组学)、转录组学、蛋白质组学和代谢组学图谱构建和导入的最新进展。

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