Microbial community characteristics and pathogens detection in

16S rRNA Haemaphysalis hystricis Hainan Island Rhipicephalus sanguineus biomarker microbial community tick-borne pathogen

Journal

Frontiers in microbiology
ISSN: 1664-302X
Titre abrégé: Front Microbiol
Pays: Switzerland
ID NLM: 101548977

Informations de publication

Date de publication:
2024
Historique:
received: 17 06 2024
accepted: 23 09 2024
medline: 23 10 2024
pubmed: 23 10 2024
entrez: 23 10 2024
Statut: epublish

Résumé

Microbial communities significantly influence the vector capacity of ticks, which, along with tick-borne diseases, pose an increasing global threat. Due to the substantial individual variability caused by various factors, it is essential to assess tick microbial communities and vectorial capacities under different environmental conditions. However, there is a relative scarcity of research on the microbial communities and pathogen transmission of ticks in different physiological states and environmental conditions, especially in Hainan Island, southern China. From 2021 to 2022, we collected 4,167 tick samples, grouping them by blood meal status, developmental stage, sex, time, geographical location, and tick species. We selected 128 samples for full-length 16S rRNA sequencing to describe microbial community characteristics and identify potential biomarkers. Seven hundred seventy-two samples were tested for seven tick-borne pathogens ( Blood meal status, developmental stage, sex, time, geographical location, and tick species significantly influenced the microbial communities of ticks. We observed distinct microbial community characteristics across different states. We noted the non-random replacement of stable and transient species, with functional differences between parasitic and engorged ticks mainly driven by transient species. Functionally, we observed three distinct response patterns: driven by stable species, transient species, and both together in response to the six factors. We identified 273 potential biomarkers (200 robust core species and 73 robust differential species). Six genera and eight species of pathogens were detected in ticks, with an overall positivity rate of 12.44% (96/772). Among humans, 18.27% (38/208) of serum samples were positive for at least one tick-borne pathogen IgG. Our findings indicate that these six factors significantly influence both tick microbial communities and vectorial capacity, with varying effects on vector competence for different pathogens and inconsistent impacts on microbial communities under different conditions. This study supplemented the understanding of tick microbial communities on Hainan Island, assessed the relatively high risk of tick-borne pathogens in the region, and evaluated the impact of these factors on both microbial communities and vectorial capacity.

Sections du résumé

Background UNASSIGNED
Microbial communities significantly influence the vector capacity of ticks, which, along with tick-borne diseases, pose an increasing global threat. Due to the substantial individual variability caused by various factors, it is essential to assess tick microbial communities and vectorial capacities under different environmental conditions. However, there is a relative scarcity of research on the microbial communities and pathogen transmission of ticks in different physiological states and environmental conditions, especially in Hainan Island, southern China.
Methods UNASSIGNED
From 2021 to 2022, we collected 4,167 tick samples, grouping them by blood meal status, developmental stage, sex, time, geographical location, and tick species. We selected 128 samples for full-length 16S rRNA sequencing to describe microbial community characteristics and identify potential biomarkers. Seven hundred seventy-two samples were tested for seven tick-borne pathogens (
Results UNASSIGNED
Blood meal status, developmental stage, sex, time, geographical location, and tick species significantly influenced the microbial communities of ticks. We observed distinct microbial community characteristics across different states. We noted the non-random replacement of stable and transient species, with functional differences between parasitic and engorged ticks mainly driven by transient species. Functionally, we observed three distinct response patterns: driven by stable species, transient species, and both together in response to the six factors. We identified 273 potential biomarkers (200 robust core species and 73 robust differential species). Six genera and eight species of pathogens were detected in ticks, with an overall positivity rate of 12.44% (96/772). Among humans, 18.27% (38/208) of serum samples were positive for at least one tick-borne pathogen IgG.
Conclusion UNASSIGNED
Our findings indicate that these six factors significantly influence both tick microbial communities and vectorial capacity, with varying effects on vector competence for different pathogens and inconsistent impacts on microbial communities under different conditions. This study supplemented the understanding of tick microbial communities on Hainan Island, assessed the relatively high risk of tick-borne pathogens in the region, and evaluated the impact of these factors on both microbial communities and vectorial capacity.

Identifiants

pubmed: 39439943
doi: 10.3389/fmicb.2024.1450219
pmc: PMC11493706
doi:

Types de publication

Journal Article

Langues

eng

Pagination

1450219

Informations de copyright

Copyright © 2024 Shu, Intirach, Zhou, Gao, Lv, Jiao, Hu and Lv.

Déclaration de conflit d'intérêts

The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.

Auteurs

Chang Shu (C)

Hainan Affiliated Hospital of Hainan Medical University, Hainan General Hospital, Haikou, China.
School of Basic Medical Sciences and Life Sciences, Hainan Medical University, Haikou, China.
NHC Key Laboratory of Tropical Disease Control, Hainan Medical University, Haikou, China.

Jitrawadee Intirach (J)

Hainan Affiliated Hospital of Hainan Medical University, Hainan General Hospital, Haikou, China.

Yunfei Zhou (Y)

School of Basic Medical Sciences and Life Sciences, Hainan Medical University, Haikou, China.

Suzhen Gao (S)

International School of Public Health and One Health, Hainan Medical University, Haikou, China.

Xin Lv (X)

Hainan Affiliated Hospital of Hainan Medical University, Hainan General Hospital, Haikou, China.
International School of Public Health and One Health, Hainan Medical University, Haikou, China.

Huisheng Jiao (H)

School of Basic Medical Sciences and Life Sciences, Hainan Medical University, Haikou, China.

Yue Hu (Y)

Key Laboratory of Tropical Disease Control, Ministry of Education, Sun Yat-sen University, Guangzhou, China.

Zhiyue Lv (Z)

Hainan Affiliated Hospital of Hainan Medical University, Hainan General Hospital, Haikou, China.
NHC Key Laboratory of Tropical Disease Control, Hainan Medical University, Haikou, China.
Key Laboratory of Tropical Disease Control, Ministry of Education, Sun Yat-sen University, Guangzhou, China.

Classifications MeSH