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利用种群和数量遗传学以及现代测序技术来理解进化的除草剂抗性和杂草适应性。

The role of population and quantitative genetics and modern sequencing technologies to understand evolved herbicide resistance and weed fitness.

机构信息

Department of Crop and Soil Sciences, North Carolina State University, Raleigh, NC, USA.

Department of Entomology and Plant Pathology, North Carolina State University, Raleigh, NC, USA.

出版信息

Pest Manag Sci. 2021 Jan;77(1):12-21. doi: 10.1002/ps.5988. Epub 2020 Jul 24.

Abstract

Evolution of resistance to multiple herbicides with different sites of action and of nontarget site resistance (NTSR) often involves multiple genes. Thus, single-gene analyses, typical in studies of target site resistance, are not sufficient for understanding the genetic architecture and dynamics of NTSR and multiple resistance. The genetics of weed adaptation to varied agricultural environments is also generally expected to be polygenic. Recent advances in whole-genome sequencing as well as bioinformatic and statistical tools have made it possible to use population and quantitative genetics methods to expand our understanding of how resistance and other traits important for weed adaptation are genetically controlled at the individual and population levels, and to predict responses to selection pressure by herbicides and other environmental factors. The use of tools such as quantitative trait loci mapping, genome-wide association studies, and genomic prediction will allow pest management scientists to better explain how pests adapt to control tools and how specific genotypes thrive and spread across agroecosystems and other human-disturbed systems. The challenge will be to use this knowledge in developing integrated weed management systems that inhibit broad resistance to current and future weed-control methods. © 2020 The Authors. Pest Management Science published by John Wiley & Sons Ltd on behalf of Society of Chemical Industry.

摘要

对具有不同作用位点的多种除草剂的抗性和非靶标位点抗性 (NTSR) 的进化通常涉及多个基因。因此,靶标位点抗性研究中典型的单基因分析对于理解 NTSR 和多抗性的遗传结构和动态是不够的。杂草适应不同农业环境的遗传也通常预计是多基因的。全基因组测序以及生物信息学和统计工具的最新进展使得人们有可能使用群体和数量遗传学方法来扩展我们对个体和群体水平上抗性和其他与杂草适应相关性状的遗传控制的理解,并预测除草剂和其他环境因素的选择压力的响应。定量性状位点作图、全基因组关联研究和基因组预测等工具的使用将使害虫管理科学家能够更好地解释害虫如何适应控制工具,以及特定基因型如何在农业生态系统和其他人为干扰系统中茁壮成长和传播。挑战将是利用这些知识开发综合杂草管理系统,以抑制对当前和未来杂草控制方法的广泛抗性。© 2020 作者。John Wiley & Sons Ltd 代表化学工业协会出版《害虫管理科学》。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6ca2/7754128/354a060d5163/PS-77-12-g001.jpg

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