Evidence map›Paper›PMID 34839581›Full record

ArticlePest management science2022

Population differentiation and epidemic tracking of Bursaphelenchus xylophilus in China based on chromosome-level assembly and whole-genome sequencing data.

Xiaolei Ding, Yunfei Guo, Jianren Ye, Xiaoqin Wu, Sixi Lin, Fengmao Chen, Lihua Zhu, Lin Huang, Xiaofeng Song, Yi Zhang and 6 more

Open access · greenAbstract read
In one paragraph

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.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
3.5field-weighted citation impact, top 8% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

7 citing papers in PubMed, 21 citations in OpenAlex.

  1. Article
  2. Article
  3. Identification and Transcriptome Analysis ofInternational journal of molecular sciences · 2024
    Article
  4. Whole-Genome Sequences of 13 Chinese Indigenous Pinewood Nematodes,International journal of molecular sciences · 2024
    Article
  5. First Draft Genome Assembly of Root-Lesion NematodeInternational journal of molecular sciences · 2023
    Article
  6. Article
  7. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

16 authors at 4 institutions in 2 countries.

Xiaolei Ding *Co-Innovation Center for Sustainable Forestry in Southern China, College of Forestry, Nanjing Forestry University, Nanjing, China.ORCID https://orcid.org/0000-0001-9595-8788
Yunfei Guo *Zilkha Neurogenetic Institute, University of Southern California, Los Angeles, CA, USA.
Jianren YeCo-Innovation Center for Sustainable Forestry in Southern China, College of Forestry, Nanjing Forestry University, Nanjing, China.
Xiaoqin WuCo-Innovation Center for Sustainable Forestry in Southern China, College of Forestry, Nanjing Forestry University, Nanjing, China.
Sixi LinCo-Innovation Center for Sustainable Forestry in Southern China, College of Forestry, Nanjing Forestry University, Nanjing, China.
Fengmao ChenCo-Innovation Center for Sustainable Forestry in Southern China, College of Forestry, Nanjing Forestry University, Nanjing, China.ORCID https://orcid.org/0000-0003-2412-7607
Lihua ZhuCo-Innovation Center for Sustainable Forestry in Southern China, College of Forestry, Nanjing Forestry University, Nanjing, China.
Lin HuangCo-Innovation Center for Sustainable Forestry in Southern China, College of Forestry, Nanjing Forestry University, Nanjing, China.
Xiaofeng SongDepartment of Biomedical Engineering, Nanjing University of Aeronautics and Astronautics, Nanjing, China.
Yi ZhangCo-Innovation Center for Sustainable Forestry in Southern China, College of Forestry, Nanjing Forestry University, Nanjing, China.
Ling DaiCo-Innovation Center for Sustainable Forestry in Southern China, College of Forestry, Nanjing Forestry University, Nanjing, China.
Xiaotong XiCo-Innovation Center for Sustainable Forestry in Southern China, College of Forestry, Nanjing Forestry University, Nanjing, China.
Jinsi HuangCo-Innovation Center for Sustainable Forestry in Southern China, College of Forestry, Nanjing Forestry University, Nanjing, China.
Kai WangZilkha Neurogenetic Institute, University of Southern California, Los Angeles, CA, USA.
Ben FanCo-Innovation Center for Sustainable Forestry in Southern China, College of Forestry, Nanjing Forestry University, Nanjing, China.
De-Wei LiThe Connecticut Agricultural Experiment Station Valley Laboratory, Windsor, CT, USA.ORCID https://orcid.org/0000-0001-5072-9834
Nanjing Forestry University · CNUniversity of Southern California · USConnecticut Agricultural Experiment Station · USNanjing University of Aeronautics and Astronautics · CN

Funding

National Key Research and Development Project 2018YFD0600203National Natural Science Foundation of China 31800543Priority Academic Program Development of Jiangsu Higher Education Institutions (PAPD)
6 · The paper itself

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.

Indexed as

Genetics, PopulationPinusRhabditidaAnimalsChinaChromosomesGenome, HelminthWhole Genome SequencingBursaphelenchus xylophiluschromosome-level assemblyepidemic trackingpopulation structureSNPs

Identifiers

PMID34839581
PMCPMC9300093
OpenAlexW3215588456

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.