Genotype-by-environment interaction in Dutch elm disease resistance

IF 5.6 1区 农林科学 Q1 AGRONOMY Agricultural and Forest Meteorology Pub Date : 2024-11-02 DOI:10.1016/j.agrformet.2024.110294
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Abstract

Dutch elm disease (DED) is a devastating forest disease. Recently, the deployment of native resistant cultivars has prompted initiatives of elm reintroduction in Europe and North America. It is known that DED resistance varies with the tree genotype and is influenced by climatic factors. However, genotype-by-environment interactions in DED resistance remain largely unexplored. In this work, we examined whether there is genetic variation in DED resistance plasticity and the roles of tree growth, phenology and anatomical traits in plastic responses. We established two experimental plots with 12 Ulmus minor genotypes in two environmentally contrasting locations in Spain: Madrid, under an inland continental climate, and Valencia, under a coastal Mediterranean climate. We monitored growth and phenology detecting high plasticity in both traits. In the inland plot, genotypes were taller and showed a more synchronized phenology than in the coast. A first DED-pathogen inoculation was carried out 45 days after the average flushing date in each location, after which trees exhibited more symptoms inland. A second inoculation was carried out by dividing the coastal plot trees into early and late flushing trees and inoculating each group at 45 days after its average flushing date. Therein, susceptibility rose to a level close to the inland plot. In both inoculations, we detected a significant genotype-by-location interaction in DED resistance. The xylem anatomy revealed high plasticity and a significant genotype-by-location interaction in most traits. In the coastal trial, trees formed narrower vessels and stored more starch before inoculation. The synchrony of leaf phenology, higher growth rate, lower starch reserves and higher structural vulnerability of earlywood to DED possibly favored susceptibility in the inland plot. The varying responses of genotypes in phenology, growth and anatomy at both locations were likely related to the differences in DED resistance, which can have important consequences for elm reintroduction.
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荷兰榆树抗病性中基因型与环境的相互作用
荷兰榆树病(DED)是一种毁灭性的森林疾病。最近,本地抗病栽培品种的应用促使欧洲和北美开始重新引进榆树。众所周知,DED 的抗性随树木基因型的不同而变化,并受气候因素的影响。然而,基因型与环境之间在 DED 抗性方面的相互作用在很大程度上仍未得到探讨。在这项工作中,我们研究了 DED 抗性可塑性是否存在遗传变异,以及树木生长、物候和解剖特征在可塑性反应中的作用。我们在西班牙两个环境对比强烈的地方建立了两个实验地块,共种植了 12 种小榆树基因型:马德里属于内陆大陆性气候,巴伦西亚属于沿海地中海气候。我们对生长和物候进行了监测,发现这两种性状都具有很高的可塑性。与沿海地区相比,内陆地区的基因型更高,表现出更同步的物候。在每个地点的平均冲洗日期后 45 天进行第一次 DED 病原体接种,之后内陆地区的树木表现出更多症状。第二次接种是将沿海地块的树木分为早冲洗和晚冲洗两组,每组在平均冲洗日后 45 天接种。接种后,感病率上升到接近内陆地块的水平。在这两种接种中,我们都检测到了基因型与地点之间在 DED 抗性上的显著交互作用。木质部解剖显示出高度的可塑性,并且在大多数性状上基因型与地点之间存在显著的交互作用。在沿海试验中,树木在接种前形成的血管更窄,储存的淀粉更多。叶片物候的同步性、较高的生长速度、较低的淀粉储备以及早期木质部结构对 DED 的较高脆弱性,可能会使内陆地块的树木更容易受到感染。两地基因型在表观、生长和解剖方面的不同反应很可能与对 DED 的抗性差异有关,这可能对榆树再引入产生重要影响。
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来源期刊
CiteScore
10.30
自引率
9.70%
发文量
415
审稿时长
69 days
期刊介绍: Agricultural and Forest Meteorology is an international journal for the publication of original articles and reviews on the inter-relationship between meteorology, agriculture, forestry, and natural ecosystems. Emphasis is on basic and applied scientific research relevant to practical problems in the field of plant and soil sciences, ecology and biogeochemistry as affected by weather as well as climate variability and change. Theoretical models should be tested against experimental data. Articles must appeal to an international audience. Special issues devoted to single topics are also published. Typical topics include canopy micrometeorology (e.g. canopy radiation transfer, turbulence near the ground, evapotranspiration, energy balance, fluxes of trace gases), micrometeorological instrumentation (e.g., sensors for trace gases, flux measurement instruments, radiation measurement techniques), aerobiology (e.g. the dispersion of pollen, spores, insects and pesticides), biometeorology (e.g. the effect of weather and climate on plant distribution, crop yield, water-use efficiency, and plant phenology), forest-fire/weather interactions, and feedbacks from vegetation to weather and the climate system.
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