ArticlePest management science2022
Population differentiation and epidemic tracking of Bursaphelenchus xylophilus in China based on chromosome-level assembly and whole-genome sequencing data.
Article in Pest management science, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.
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7 citing papers in PubMed, 21 citations in OpenAlex.
- Article
- Combined Transcriptomic and Metabolomic Analyses of Low-Temperature Adaptation inInternational journal of molecular sciences · 2026Article
- Identification and Transcriptome Analysis ofInternational journal of molecular sciences · 2024Article
- Whole-Genome Sequences of 13 Chinese Indigenous Pinewood Nematodes,International journal of molecular sciences · 2024Article
- First Draft Genome Assembly of Root-Lesion NematodeInternational journal of molecular sciences · 2023Article
- Genetic diversity and genome-wide association analysis of pine wood nematode populations in different regions of China.Frontiers in plant science · 2023Article
- Comprehensive Analysis of Copy Number Variations on Glycoside Hydrolase 45 Genes among DifferentInternational journal of molecular sciences · 2022Article
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Authors and funding
16 authors at 4 institutions in 2 countries.
Funding
Abstract
backgroundBursaphelenchus 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.
resultsWe 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.
conclusionOur 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.
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