FACCE ERA-NET+ An integrated approach to evaluate and utilise genetic diversity for breeding climate-resilient barley

FACCE ERA-NET 评估和利用遗传多样性育种气候适应型大麦的综合方法

• 批准号: BB/M018466/1
• 负责人: Robbie Waugh
• 金额: $ 37.76万
• 依托单位: University of Dundee
• 依托单位国家: 英国
• 项目类别: Research Grant
• 财政年份: 2015
• 资助国家: 英国
• 起止时间: 2015 至 无数据
• 项目状态: 已结题
• 来源: https://gtr.ukri.org/projects?ref=BB%2FM018466%2F1
• 关键词: FACCE; ERA; NET+; integrated; approach

ClimBar will identify genome regions, genes, and alleles conferring the traits needed to breed resilient barley varieties adapted to the climatic conditions predicted for 2070 in different European environments. Predicted conditions and adaptive plant traits for the northern Mediterranean Basin are also applicable to the southern, non-European side and will be relevant to Stakeholders representing farmers from that region. The phenotypic responses of a tailored barley germplasm diversity set that is relevant to resilience, sustainability, and quality will be determined under anticipated conditions of altered water and nutrients, CO2, and pathogen pressure. The set will include cultivated barley, landraces from key European production regions differing in aridity and pre-figuring climate change effects, and wild barley from the Fertile Crescent, which represents the gene pool from which domestication occurred and also carries resilience adaptations. These responses will be connected to genes and genome regions by Genome Wide Association Studies (GWAS) using extensive sequence variant, epigenome, and transcript abundance datasets, and by ecogeographic analysis. The genetic and genomic data sets will be leveraged from earlier (barley 9K SNP set; exome capture) and ongoing (WHEALBI exome capture) studies, which will serve to define the germplasm included in WP1, and will be complemented by planned ClimBar studies (ChIP, small RNA). Therefore, a very large amount of mostly transcribed sequence information will be available to declare and use polymorphisms with a density of coverage and representativeness of germplasm exceeding all previous efforts in this species. Plant phenotyping will be carried out under field conditions within regions expected to experience differing climate change scenarios, and under controlled greenhouse conditions where detailed physiological phenotypes will be collected. Genes and landraces and CWR associated with environmental conditions will be identified by ecogeographic analysis of genetic diversity. Based on observed plant responses and predicted climate scenarios, proposals for genomic selection (GS) and ideotype models for 2070 will be developed, and relevance to interim conditions assessed. Collaborative interactions with agro-economic modellers as well as climatic modellers will set up to estimate harvests in 2070 and their impact on the agro-economy, based on data collected within ClimBar

ClimBar将识别基因组区域，基因和等位基因，这些基因赋予培育适应2070年欧洲不同环境预测气候条件的弹性大麦品种所需的性状。北方地中海盆地的预测条件和适应性植物性状也适用于南方非欧洲一侧，并将与代表该地区农民的利益相关者相关。一个定制的大麦种质多样性集，这是相关的弹性，可持续性和质量的表型反应将在预期的条件下改变水和养分，二氧化碳和病原体的压力。该系列将包括栽培大麦，来自欧洲主要生产地区的地方品种，这些地区在干旱和预测气候变化影响方面存在差异，以及来自新月沃地的野生大麦，这代表了驯化发生的基因库，也具有适应性。这些反应将通过全基因组关联研究（GWAS）使用广泛的序列变异、表观基因组和转录丰度数据集以及通过生态地理分析与基因和基因组区域相关联。遗传和基因组数据集将利用早期（大麦9 K SNP集;外显子组捕获）和正在进行的（WHEALBI外显子组捕获）研究，这些研究将用于定义WP 1中包含的种质，并将通过计划的ClimBar研究（ChIP，小RNA）进行补充。因此，大量的大部分转录序列信息将可用于宣布和使用多态性，其覆盖密度和种质的代表性超过了该物种中所有以前的努力。植物表型分析将在预计将经历不同气候变化情景的区域内的田间条件下进行，并在受控温室条件下进行，其中将收集详细的生理表型。通过遗传多样性的生态地理学分析，确定与环境条件相关的基因、地方品种和CWR。根据观察到的植物反应和预测的气候情景，将制定2070年的基因组选择（GS）和理想模式的建议，并评估与中期条件的相关性。与农业经济建模者以及气候建模者的合作互动将建立起来，以根据ClimBar收集的数据估计2070年的收成及其对农业经济的影响

项目成果

High-throughput phenotyping of the core European Heritage Collection (ExHIBiT) under waterlogging

淹水条件下欧洲遗产核心收藏品 (ExHIBiT) 的高通量表型分析

• DOI: 10.22541/au.166733722.21198616/v1
• 发表时间: 2022
• 作者: Bernád V

Isolation and characterization of the gene HvFAR1 encoding acyl-CoA reductase from the cer-za.227 mutant of barley (Hordeum vulgare) and analysis of the cuticular barrier functions.

• DOI: 10.1111/nph.19063
• 发表时间: 2023-06
• 期刊: The New phytologist
• 作者: Y. Müller;Payal Patwari;Tyll Stöcker;V. Zeisler-Diehl;U. Steiner;Chiara Campoli;Lea Grewe;M. Kuczkowska;Maya Marita Dierig;Sarah B. Jose;A. Hetherington;I. Acosta;H. Schoof;L. Schreiber;P. Dörmann