Evidence map›Paper›PMID 32660425›Full record

ArticleBMC genomics2020

Adaptation of pine wood nematode Bursaphelenchus xylophilus to β-pinene stress.

Yongxia Li, Yuqian Feng, Xuan Wang, Jing Cui, Xun Deng, Xingyao Zhang

Open access · goldAbstract read
In one paragraph

Article in BMC genomics, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.

0numbers the graph read from it
0cells of the map it votes in
16citing papers in PubMed
2.3field-weighted citation impact, top 11% 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

16 citing papers in PubMed, 21 citations in OpenAlex.

  1. Article
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  8. Identification and Transcriptome Analysis ofInternational journal of molecular sciences · 2024
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  9. Whole-Genome Sequences of 13 Chinese Indigenous Pinewood Nematodes,International journal of molecular sciences · 2024
    Article
  10. Article
  11. Review
  12. Engineered pine endophyticFrontiers in microbiology · 2023
    Article
  13. Article
  14. Review
  15. Article
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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

6 authors at 2 institutions in 1 country.

Yongxia LiLab. of Forest Pathogen Integrated Biology, Research institute of Forestry New Technology, Chinese Academy of Forestry, Beijing, 100091, China.
Yuqian FengLab. of Forest Pathogen Integrated Biology, Research institute of Forestry New Technology, Chinese Academy of Forestry, Beijing, 100091, China.
Xuan WangLab. of Forest Pathogen Integrated Biology, Research institute of Forestry New Technology, Chinese Academy of Forestry, Beijing, 100091, China.
Jing CuiLab. of Forest Pathogen Integrated Biology, Research institute of Forestry New Technology, Chinese Academy of Forestry, Beijing, 100091, China.
Xun DengLab. of Forest Pathogen Integrated Biology, Research institute of Forestry New Technology, Chinese Academy of Forestry, Beijing, 100091, China.
Xingyao ZhangLab. of Forest Pathogen Integrated Biology, Research institute of Forestry New Technology, Chinese Academy of Forestry, Beijing, 100091, China. zhangxingyao@126.com.
Chinese Academy of Forestry · CNNanjing Forestry University · CN

Funding

Special Research Program for National Key R&D Program of China 2016YFC1200604Special Research Program for National Key R&D Program of China 2017YFD0600102
6 · The paper itself

Abstract

backgroundThe pine wood nematode (PWN; Bursaphelenchus xylophilus) is the most damaging biological pest in pine forest ecosystems in China. However, the pathogenic mechanism remains unclear. Tracheid cavitation induced by excess metabolism of volatile terpenes is a typical characteristic of pine trees infected by B. xylophilus. β-pinene, one of the main volatile terpenes, influences PWN colonization and reproduction, stimulating pathogenicity during the early stages of infection. To elucidate the response mechanism of PWN to β-pinene, pathogenesis, mortality, and reproduction rate were investigated under different concentrations of β-pinene using a transcriptomics approach.

resultsA low concentration of β-pinene (BL, C < 25.74 mg/ml) inhibited PWN reproduction, whereas a high concentration (BH, C > 128.7 mg/ml) promoted reproduction. Comparison of PWN expression profiles under low (BL, 21.66 mg/ml) and high (BH, 214.5 mg/ml) β-pinene concentrations at 48 h identified 659 and 418 differentially expressed genes (DEGs), respectively, compared with controls. Some key DEGs are potential regulators of β-pinene via detoxification metabolism (cytochrome P450, UDP-glucuronosyltransferases and short-chain dehydrogenases), ion channel/transporter activity (unc and ATP-binding cassette families), and nuclear receptor -related genes. Gene Ontology enrichment analysis of DEGs revealed metabolic processes as the most significant biological processes, and catalytic activity as the most significant molecular function for both BL and BH samples. Kyoto Encyclopedia of Genes and Genomes (KEGG) Orthology (KO) analysis showed that xenobiotics biodegradation and metabolism, carbohydrate metabolism, lipid metabolism, amino acid metabolism, metabolism of cofactors and vitamins, and transport and catabolism were the dominant terms in metabolism categories.

conclusionIn addition to detoxification via reduction/oxidation (redox) activity, PWN responds to β-pinene through amino acid metabolism, carbohydrate metabolism, and other pathways including growth regulation and epidermal protein changes to overcome β-pinene stress. This study lays a foundation for further exploring the pathogenic mechanism of PWN.

Indexed as

Adaptation, PhysiologicalAnimalsBicyclic MonoterpenesGene Expression ProfilingPinusReproductionRhabditidaStress, Physiologicalbeta-pineneBicyclic MonoterpenesMortalityPine wood nematodeReproduction rateTranscriptomeβ-Pinene

Identifiers

PMID32660425
PMCPMC7358211
OpenAlexW3042147015

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.