Multiple, single trait GWAS and supervised machine learning reveal the genetic architecture ofFraxinus excelsiortolerance to ash dieback in Europe

Author:

Doonan JMORCID,Budde KB,Kosawang CORCID,Lobo AORCID,Verbylaite RORCID,Brealey JCORCID,Martin MD,Pliūra A,Thomas K,Konrad HORCID,Seegmüller S,Liziniewicz M,Cleary MORCID,Nemesio-Gorriz M,Fussi BORCID,Kirisits TORCID,Gilbert MTPORCID,Heuertz MTPORCID,Kjær EDORCID,Nielsen LR

Abstract

AbstractCommon ash (Fraxinus excelsior) is under intensive attack from the invasive alien pathogenic fungusHymenoscyphus fraxineus, causing ash dieback at epidemic levels throughout Europe. Previous studies have found significant genetic variation among clones in ash dieback susceptibility and that host phenology, such as autumn yellowing, is correlated with susceptibility of ash trees toH. fraxineus; however, the genomic basis of ash dieback tolerance inF. excelsiorremains poorly understood. Here, we integrate quantitative genetics and genome-wide association analyses with machine learning to reveal the genetic architecture of ash dieback tolerance and its relationship to phenological traits inF. excelsiorpopulations in six European countries (Austria, Denmark, Germany, Ireland, Lithuania, Sweden). We use whole-genome sequencing of 486F. excelsiorgenotypes to confirm the genotypic correlation between crown damage caused by ash dieback and intensity of autumn leaf yellowing within multiple sampling sites. Although, our results suggest that the examined traits are polygenic, a relatively small number of single nucleotide polymorphisms (SNPs) explained a large proportion of the variation in both disease tolerance and autumn leaf yellowing. We could explain up to 63% (based on 9155 unlinked SNPs) of variation in individual response to ash dieback crown damage and up to 72% (based on 3740 unlinked SNPs) of variation in autumn yellowing. We identified eight SNPs encoding non-synonymous substitutions, of which those with the highest predictive power were located within genes related to plant defence (pattern triggered immunity, pathogen detection) and phenology (regulation of flowering and seed maturation, auxin transport). Overall, our results provide insights of a multifaceted defence response, according to which a combination of direct defence mechanisms and phenological avoidance of pathogen spread constitute tolerance to ash dieback.

Publisher

Cold Spring Harbor Laboratory

Reference80 articles.

1. Phytoalexins in defense against pathogens

2. Mutations in a barley cytochrome P450 gene enhances pathogen induced programmed cell death and cutin layer instability;PLOS Genetics,2021

3. Chestnut Blight: The Classical Problem of an Introduced Pathogen

4. Adaptation from standing genetic variation;Trends in Ecology & Evolution,2008

5. Bell G. 1982. The Masterpiece of Nature: The Evolution and Genetics of Sexuality. Berkeley: Univ. Calif. Press.

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3