Suppr超能文献

利用遗传和基因组工具提高小麦的耐旱性。

Genetic and genomic tools to improve drought tolerance in wheat.

机构信息

Australian Centre for Plant Functional Genomics (ACPFG), University of Adelaide, PMB1, Glen Osmond, SA 5064, Australia.

出版信息

J Exp Bot. 2010 Jul;61(12):3211-22. doi: 10.1093/jxb/erq152. Epub 2010 Jun 4.

Abstract

Tolerance to drought is a quantitative trait, with a complex phenotype, often confounded by plant phenology. Breeding for drought tolerance is further complicated since several types of abiotic stress, such as high temperatures, high irradiance, and nutrient toxicities or deficiencies can challenge crop plants simultaneously. Although marker-assisted selection is now widely deployed in wheat, it has not contributed significantly to cultivar improvement for adaptation to low-yielding environments and breeding has relied largely on direct phenotypic selection for improved performance in these difficult environments. The limited success of the physiological and molecular breeding approaches now suggests that a careful rethink is needed of our strategies in order to understand better and breed for drought tolerance. A research programme for increasing drought tolerance of wheat should tackle the problem in a multi-disciplinary approach, considering interaction between multiple stresses and plant phenology, and integrating the physiological dissection of drought-tolerance traits and the genetic and genomics tools, such as quantitative trait loci (QTL), microarrays, and transgenic crops. In this paper, recent advances in the genetics and genomics of drought tolerance in wheat and barley are reviewed and used as a base for revisiting approaches to analyse drought tolerance in wheat. A strategy is then described where a specific environment is targeted and appropriate germplasm adapted to the chosen environment is selected, based on extensive definition of the morpho-physiological and molecular mechanisms of tolerance of the parents. This information was used to create structured populations and develop models for QTL analysis and positional cloning.

摘要

耐旱性是一个数量性状,具有复杂的表型,通常与植物物候学有关。由于几种非生物胁迫,如高温、高光、营养毒性或缺乏,会同时对作物造成挑战,因此耐旱性的培育更加复杂。尽管标记辅助选择现在已广泛应用于小麦,但它并没有为适应低产环境的品种改良做出重大贡献,而且育种主要依赖于直接表型选择,以提高这些困难环境下的表现。生理和分子育种方法的有限成功表明,我们需要仔细重新思考我们的策略,以便更好地理解和培育耐旱性。提高小麦耐旱性的研究计划应采用多学科方法解决该问题,考虑多种胁迫和植物物候之间的相互作用,并整合耐旱性性状的生理学剖析以及遗传和基因组学工具,如数量性状位点(QTL)、微阵列和转基因作物。本文综述了小麦和大麦耐旱性的遗传学和基因组学的最新进展,并将其用作重新审视小麦耐旱性分析方法的基础。然后描述了一种策略,即针对特定环境,根据对亲本耐受性的形态、生理和分子机制的广泛定义,选择适应所选环境的合适种质。这些信息用于创建结构群体,并开发用于 QTL 分析和定位克隆的模型。

文献检索

告别复杂PubMed语法,用中文像聊天一样搜索,搜遍4000万医学文献。AI智能推荐,让科研检索更轻松。

立即免费搜索

文件翻译

保留排版,准确专业,支持PDF/Word/PPT等文件格式,支持 12+语言互译。

免费翻译文档

深度研究

AI帮你快速写综述,25分钟生成高质量综述,智能提取关键信息,辅助科研写作。

立即免费体验