Evidence map›Paper›PMID 40601071›Full record

ArticleActa parasitologica2025

Microbiome diversity in Haemaphysalis flava (life stage-host dependent) and Haemaphysalis longicornis ticks with zoonotic implications in Nantong, China.

Jing Su, Wei-Bing Zhang, Yu-Jie Chen, Bin Sun, Yun-Peng Zhai, Jian-Ming Yuan

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Article in Acta parasitologica, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

What it found

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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

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

6 authors.

Jing SuNantong Center for Disease Control and Prevention, Nantong, 226007, Jiangsu, China.
Wei-Bing ZhangNantong Center for Disease Control and Prevention, Nantong, 226007, Jiangsu, China.
Yu-Jie ChenNantong Center for Disease Control and Prevention, Nantong, 226007, Jiangsu, China.
Bin SunNantong Center for Disease Control and Prevention, Nantong, 226007, Jiangsu, China.
Yun-Peng ZhaiNantong Center for Disease Control and Prevention, Nantong, 226007, Jiangsu, China. zhaiyp0516@outlook.com.
Jian-Ming YuanNantong Center for Disease Control and Prevention, Nantong, 226007, Jiangsu, China. vectors_NantongCDC@outlook.com.

Funding

Research Project Foundation of the Nantong Health Commission MS2023092Research Project of Nantong City Science and Technology - Public Wellbeing Plan. MSZ2024113
6 · The paper itself

Abstract

purposeThis study characterized the microbial communities of Haemaphysalis flava (H. flava) and Haemaphysalis longicornis (H. longicornis), in Nantong, China, and assessed the zoonotic implications.

methodsWe collected both on-host and off-host ticks and performed 16S rRNA amplicon sequencing. Subsequent bioinformatic analyses included taxonomic composition assessment, community diversity evaluation, differential abundance analysis, interspecies abundance correlation and functional inference.

resultsRickettsia dominated in H. flava (77.31%), while H. longicornis exhibited higher abundances of Stenotrophomonas (10.78%), Coxiella (10.04%), and Psychrobacter (9.70%). Comparative analyses of life stages and host associations were only performed for H. flava due to limited sample sizes of H. longicornis across developmental stages. Rickettsia was enriched in on-host H. flava (90.41-90.51%) compared to off-host specimens (46.12%). α-diversity analysis showed higher microbial richness in off-host nymphs than in on-host adults. β-diversity revealed strong species-specific clustering. Network analysis demonstrated more complex microbial interactions in adult ticks. Pathogen screening detected Rickettsia japonica (R. japonica, host-specific to H. flava), Ehrlichia ewingii (E. ewingii), and Anaplasma bovis (A. bovis). Functional prediction highlighted elevated B vitamin biosynthesis pathways in nymphs, aligning with Coxiella-like endosymbionts (CLEs)'s putative nutritional role.

conclusionThis study emphasizes the importance of enhanced tick surveillance and regular pathogen screening in domestic animals, particularly for spotted fever group (SFG) Rickettsia. CLEs may exhibit stage-specific abundance patterns aligned with the host's developmental nutritional requirements. These findings highlight the need for integrated One Health surveillance to mitigate tick-borne disease threats.

Indexed as

BacteriaIxodidaeMicrobiotaAnimalsBiodiversityChinaFemaleHaemaphysalis longicornisHumansLife Cycle StagesNymphPhylogenyRickettsiaRNA, Ribosomal, 16SZoonosesRNA, Ribosomal, 16SCoxiella-like endosymbiontsHaemaphysalis flavaHaemaphysalis longicornisRickettsia japonicaTick microbiomeZoonotic pathogens

Identifiers

PMID40601071

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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.