深度基因分型揭示大麦种群对传统农业和有机农业的特定适应足迹--一种植物育种进化方法

IF 6.4 1区 农林科学 Q1 AGRONOMY
Michael Schneider, Agim Ballvora, Jens Léon
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引用次数: 0

摘要

为不断增长的世界人口提供可持续的粮食生产将是未来几十年的核心挑战。如果能缩小与传统耕作的产量差距,有机耕作是实现这一目标的可行方法之一。然而,有机农业和传统农业生态系统在多大程度上(尤其是在哪些表型上)需要不同的育种策略还存在不确定性。为了回答这个问题,我们在野生大麦和精英栽培品种之间建立了一个异质春大麦群体。这一初始种群被分为两组,一组播种在有机农业生态系统中,另一组播种在常规管理的农业生态系统中。每年收获的一部分种子在第二年播种。对第 23 代之前的各代进行了全基因组池测序,以确定等位基因频率变化对生态系统和气候条件的适应模式。此外,还进行了元数据分析,以将基因组区域提高的适应性与农艺相关性状联系起来。这项长期实验首次凸显出,常规种群和有机种群之间的等位基因频率模式差异随着后代的增加而扩大。此外,有机适应种群的遗传异质性更高。这些数据表明,对新环境的适应只需几代人的时间。气候的年际剧变表现为等位基因频率的显著变化。特定的野生等位基因在两种环境中都得到了积极的选择。对这些等位基因进行聚类后发现,在这两个系统中,与抗生物胁迫、产量生理机能和产量成分相关的适合度都有所提高。此外,在有机农业生态系统中,引入的野生等位基因显示出与根系形态、发育过程和非生物胁迫反应有关的适应性提高。通过对遗传分析的总结,我们证明应在有机管理的农业生态系统中进行有机适应品种的育种,重点关注根系相关性状,以缩小与传统农业的产量差距。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

Deep genotyping reveals specific adaptation footprints of conventional and organic farming in barley populations—an evolutionary plant breeding approach

Deep genotyping reveals specific adaptation footprints of conventional and organic farming in barley populations—an evolutionary plant breeding approach

Sustainable food production for a growing world population will pose a central challenge in the coming decades. Organic farming is among the feasible approaches to achieving this goal if the yield gap to conventional farming can be decreased. However, uncertainties exist to which extend—and for which phenotypes in particular—organic and conventional agro-ecosystems require differentiated breeding strategies. To answer this question, a heterogeneous spring barley population was established between a wild barley and an elite cultivar to examine this question. This initial population was divided into two sets and sown one in organic and the other in conventional managed agro-ecosystems, without any artificial selection for two decades. A fraction of seeds harvested each year was sown the following year. Various generations, up to the 23th were whole-genome pool-sequenced to identify adaptation patterns towards ecosystem and climate conditions in the allele frequency shifts. Additionally, a meta-data analysis was conducted to link genomic regions’ increased fitness to agronomically related traits. This long-term experiment highlights for the first time that allele frequency pattern difference between the conventional and organic populations grew with subsequent generations. Further, the organic-adapted population showed a higher genetic heterogeneity. The data indicate that adaptations towards new environments happen in few generations. Drastic interannual changes in climate are manifested in significant allele frequency changes. Particular wild form alleles were positively selected in both environments. Clustering these revealed an increased fitness associated with biotic stress resistance, yield physiology, and yield components in both systems. Additionally, the introduced wild alleles showed increased fitness related to root morphology, developmental processes, and abiotic stress responses in the organic agro-ecosystem. Concluding the genetic analysis, we demonstrate that breeding of organically adapted varieties should be conducted in an organically managed agro-ecosystem, focusing on root-related traits, to close the yield gap towards conventional farming.

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来源期刊
Agronomy for Sustainable Development
Agronomy for Sustainable Development 农林科学-农艺学
CiteScore
10.70
自引率
8.20%
发文量
108
审稿时长
3 months
期刊介绍: Agronomy for Sustainable Development (ASD) is a peer-reviewed scientific journal of international scope, dedicated to publishing original research articles, review articles, and meta-analyses aimed at improving sustainability in agricultural and food systems. The journal serves as a bridge between agronomy, cropping, and farming system research and various other disciplines including ecology, genetics, economics, and social sciences. ASD encourages studies in agroecology, participatory research, and interdisciplinary approaches, with a focus on systems thinking applied at different scales from field to global levels. Research articles published in ASD should present significant scientific advancements compared to existing knowledge, within an international context. Review articles should critically evaluate emerging topics, and opinion papers may also be submitted as reviews. Meta-analysis articles should provide clear contributions to resolving widely debated scientific questions.
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