genomic_data_DED_DNB_SNC_Hessenauer2025

Climate significantly influences the distribution, composition, and diversity of fungal communities, impacting the growth, spread, and virulence of fungal forest pathogens. This study employs advanced landscape genomics methods to explore the genomic adaptations of three major fungal pathogens: those responsible for Dutch elm disease, dothistroma needle blight, and Swiss needle cast. Our findings reveal that precipitation and humidity are primary drivers of adaptation in these species. We use these insights to forecast potential adaptations under future climate scenarios (genomic offset) and identify specific genes and pathways associated with climate responses in each pathogen. Notably, we detect a convergence in moisture adaptation across these distantly related species, particularly in genes related to the cytoskeleton and transporters. This study enhances our understanding of fungal pathogen evolution in response to climate change, offering crucial insights for forest disease management.This dataset includes filtered genomic (vcf format), climate (csv format) and spatial (csv) data for all three pathogens considered in the study (Dutch elm disease = DED, dothistroma needle blight = DNB and swiss needle cast = SNC), please refer to Hessenauer et al. 2025 for details.

气候对真菌群落的分布、组成与多样性具有显著调控作用，进而影响林木病原真菌的生长、扩散与致病力。本研究采用先进的景观基因组学（landscape genomics）方法，针对三类主要林木病原真菌开展基因组适应性演化研究，涉及的病原菌分别为引发荷兰榆树病（Dutch elm disease, DED）、松针赤枯病（dothistroma needle blight, DNB）以及瑞士松针枯病（Swiss needle cast, SNC）的致病菌。研究结果表明，降水与湿度是这三类病原菌适应性演化的核心驱动因子。基于上述发现，我们对未来气候情景下的潜在适应性变化进行了预测（即基因组偏移（genomic offset）），并分别鉴定出各病原菌中与气候响应相关的特异性基因与调控通路。尤为值得关注的是，本研究在这些亲缘关系较远的病原菌类群中，检测到了水分适应性的趋同演化特征，相关基因多集中于细胞骨架（cytoskeleton）与转运蛋白相关家族。本研究深化了我们对气候变化背景下林木病原真菌演化机制的认知，可为林木病害的综合防控提供关键理论依据。本数据集涵盖本研究涉及的三类病原菌的经过滤基因组数据（格式为VCF）、气候数据（格式为CSV）与空间数据（格式为CSV）。相关详细研究细节请参阅Hessenauer等人2025年发表的文献。