Co-Innovation Center for Sustainable Forestry in Southern China, College of Forestry, Nanjing Forestry University, Nanjing, China.
Jiangsu Key Laboratory for Prevention and Management of Invasive Species, Nanjing, China.
Pest Manag Sci. 2022 Mar;78(3):1213-1226. doi: 10.1002/ps.6738. Epub 2021 Dec 17.
Bursaphelenchus xylophilus, the pinewood nematode, kills millions of pine trees worldwide every year, and causes enormous economic and ecological losses. Despite extensive research on population variation, there is little understanding of the population-wide variation spectrum in China.
We sequenced an inbred B. xylophilus strain using Pacbio+Illumina+Bionano+Hi-C and generated a chromosome-level assembly (AH1) with six chromosomes of 77.1 Mb (chromosome N50: 12 Mb). The AH1 assembly shows very high continuity and completeness, and contains novel genes with potentially important functions compared with previous assemblies. Subsequently, we sequenced 181 strains from China and the USA and found ~7.8 million single nucleotide polymorphisms (SNPs). Analysis shows that the B. xylophilus population in China can be divided into geographically bounded subpopulations with severe cross-infection and potential migrations. In addition, distribution of B. xylophilus is dominated by temperature zones while geographically associated SNPs are mainly located on adaptation related GPCR gene families, suggesting the nematode has been evolving to adapt to different temperatures. A machine-learning based epidemic tracking method has been established to predict their geographical origins, which can be applied to any other species.
Our study provides the community with the first high-quality chromosome-level assembly which includes a comprehensive catalogue of genetic variations. It provides insights into population structure and effective tracking method for this invasive species, which facilitates future studies to address a variety of applied, genomic and evolutionary questions in B. xylophilus as well as related species.
松材线虫每年在全球杀死数百万棵松树,造成巨大的经济和生态损失。尽管对种群变异进行了广泛的研究,但对中国的种群变异谱仍知之甚少。
我们使用 Pacbio+Illumina+Bionano+Hi-C 对一个近交的松材线虫品系进行了测序,并生成了一个染色体水平的组装(AH1),包含 6 条染色体,大小为 77.1 Mb(染色体 N50:12 Mb)。AH1 组装具有非常高的连续性和完整性,与以前的组装相比,包含了具有潜在重要功能的新基因。随后,我们对来自中国和美国的 181 个品系进行了测序,发现了约 780 万个单核苷酸多态性(SNPs)。分析表明,中国的松材线虫种群可以分为地理上有界限的亚种群,存在严重的交叉感染和潜在的迁移。此外,松材线虫的分布主要由温度带决定,而与地理相关的 SNPs 主要位于与适应相关的 GPCR 基因家族,表明线虫一直在进化以适应不同的温度。建立了一种基于机器学习的流行追踪方法来预测它们的地理起源,该方法可应用于任何其他物种。
我们的研究为社区提供了第一个高质量的染色体水平的组装,其中包括一个全面的遗传变异目录。它为种群结构和这种入侵物种的有效追踪方法提供了深入的了解,有助于未来研究解决松材线虫及其相关物种的各种应用、基因组和进化问题。