ArticleBMC genomics2020
Characterization of bacterial communities associated with the pinewood nematode insect vector Monochamus alternatus Hope and the host tree Pinus massoniana.
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 22 papers.
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.
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.
Who cites it
22 citing papers in PubMed, 66 citations in OpenAlex.
- Evaluating the role of biotic and abiotic factors in hardwood tree development in the Central Hardwood Region (CHR).Environmental microbiome · 2026Article
- Characterization of Seed Endophytic Microbiota inMicroorganisms · 2026Article
- Differential effects of pine wilt disease on root endosphere, rhizosphere, and soil microbiome of Korean white pine.Microbiology spectrum · 2025Article
- Shifts in soil microbial and nematode communities over progression of pine wilt disease occurring inFrontiers in microbiology · 2025Article
- Distinct biogeographic patterns for bacteria and fungi in association withMicrobiology spectrum · 2024Article
- Pinewood nematode induced changes in the assembly process of gallery microbiomes benefit its vector beetle's development.Microbiology spectrum · 2024Article
- The Growth-Promoting and Colonization of the Pine EndophyticMicroorganisms · 2024Article
- Article
- Characterization of bacterial diversity and screening of cellulose-degrading bacteria in the gut system ofFrontiers in bioengineering and biotechnology · 2024Article
- Soybean microbiome composition and the impact of host plant resistance.Frontiers in plant science · 2023Article
- The novel nematicide chiricanine A suppressesFrontiers in plant science · 2023Article
- Associated bacteria of a pine sawyer beetle confer resistance to entomopathogenic fungi via fungal growth inhibition.Environmental microbiome · 2022Article
- Microhabitat Governs the Microbiota of the Pinewood Nematode and Its Vector Beetle: Implication for the Prevalence of Pine Wilt Disease.Microbiology spectrum · 2022Article
- Effects on community composition and function Pinus massoniana infected by Bursaphelenchus xylophilus.BMC microbiology · 2022Article
- Invasion History of the Pinewood NematodeFrontiers in plant science · 2022Article
- Microbiome Associated with the Mycangia of Female and Male Adults of the Ambrosia BeetleInsects · 2021Article
- Pinewood Nematode Alters the Endophytic and Rhizospheric Microbial Communities of Pinus massoniana.Microbial ecology · 2021Article
- Comparative transcriptome analysis of the newly discovered insect vector of the pine wood nematode in China, revealing putative genes related to host plant adaptation.BMC genomics · 2021Article
- Gut Bacteria Associated WithFrontiers in microbiology · 2021Article
- Multi-Omics of Pine Wood Nematode Pathogenicity Associated With Culturable Associated Microbiota Through an Artificial Assembly Approach.Frontiers in plant science · 2021Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
12 authors at 3 institutions in 2 countries.
Funding
Abstract
backgroundMonochamus alternatus Hope is one of the insect vectors of pinewood nematode (Bursaphelenchus xylophilus), which causes the destructive pine wilt disease. The microorganisms within the ecosystem, comprising plants, their environment, and insect vectors, form complex networks. This study presents a systematic analysis of the bacterial microbiota in the M. alternatus midgut and its habitat niche.
methodsTotal DNA was extracted from 20 types of samples (with three replicates each) from M. alternatus and various tissues of healthy and infected P. massoniana (pines). 16S rDNA amplicon sequencing was conducted to determine the composition and diversity of the bacterial microbiota in each sample. Moreover, the relative abundances of bacteria in the midgut of M. alternatus larvae were verified by counting the colony-forming units.
resultsPinewood nematode infection increased the microbial diversity in pines. Bradyrhizobium, Burkholderia, Dyella, Mycobacterium, and Mucilaginibacter were the dominant bacterial genera in the soil and infected pines. These results indicate that the bacterial community in infected pines may be associated with the soil microbiota. Interestingly, the abundance of the genus Gryllotalpicola was highest in the bark of infected pines. The genus Cellulomonas was not found in the midgut of M. alternatus, but it peaked in the phloem of infected pines, followed by the phloem of heathy pines. Moreover, the genus Serratia was not only present in the habitat niche, but it was also enriched in the M. alternatus midgut. The colony-forming unit assays showed that the relative abundance of Serratia sp. peaked in the midgut of instar II larvae (81%).
conclusionsOverall, the results indicate that the bacterial microbiota in the soil and in infected pines are correlated. The Gryllotalpicola sp. and Cellulomonas sp. are potential microbial markers of pine wilt disease. Additionally, Serratia sp. could be an ideal agent for expressing insecticidal protein in the insect midgut by genetic engineering, which represents a new use of microbes to control M. alternatus.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
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.