Defining the bacterial microbiome of ticks in Chongwe and Chisamba Districts of Zambia

被引:0
作者
Mulavu, Malala [1 ]
Khumalo, Cynthia Sipho [2 ]
Moonga, Lavel [3 ]
Hayashida, Kyoko [4 ]
Mubemba, Benjamin [3 ,5 ]
Changula, Katendi [3 ]
Simulundu, Edgar [6 ,7 ]
Muleya, Walter [2 ,10 ]
Chitanga, Simbarashe [1 ,8 ,9 ]
机构
[1] Univ Zambia, Sch Hlth Sci, Dept Biomed Sci, POB 50110, Lusaka 10101, Zambia
[2] Univ Zambia, Sch Vet Med, Dept Biomed Sci, POB 32379, Lusaka 10101, Zambia
[3] Univ Zambia, Sch Vet Med, Dept Paraclin Studies, POB 32379, Lusaka 10101, Zambia
[4] Hokkaido Univ, Res Ctr Zoonosis Control, Div Collaborat & Educ, Kita 18 Nishi 9,Kita Ku, Sapporo, Hokkaido 0010020, Japan
[5] Copperbelt Univ, Sch Nat Resources, Dept Wildlife Sci, POB 21692, Kitwe 50100, Zambia
[6] Univ Zambia, Sch Vet Med, Dept Dis Control, POB 32379, Lusaka 10101, Zambia
[7] Macha Res Trust, POB 630166, Choma 20100, Zambia
[8] Univ Namibia, Sch Vet Med, Dept Preclin Studies, Private Bag 13301, Windhoek 10005, Namibia
[9] Univ KwaZulu Natal, Sch Life Sci, Private Bag X54001, ZA-4041 Durban, South Africa
[10] Univ Zambia, Sch Vet Med, POB 32379, Lusaka, Zambia
来源
INFECTIOUS MEDICINE | 2024年 / 3卷 / 04期
基金
美国国家卫生研究院;
关键词
Microbiome; Rickettsia; Vectors; Tick; Zambia; Pathogens; RHIPICEPHALUS; COMMUNITIES; IXODIDAE; ACARI; DNA;
D O I
10.1016/j.imj.2024.100131
中图分类号
R51 [传染病];
学科分类号
100401 ;
摘要
Background: The microbiome composition of an arthropod vector may impede the growth of some pathogens, aid colonisation by pathogens or affect vector behaviour in ways that impact the transmission of pathogens. In Zambia, little is known of the microbial communities hosted by ticks and how pathogens like Rickettsia play a role in the microbiome composition. Objective: This study sought to determine the microbiome of Rickettsia -negative and Rickettsia -positive ticks in selected districts of Zambia. Methods: This was a cross-sectional study carried out on 94 ticks collected from cattle in Chongwe and Chisamba districts. The overall prevalence of Rickettsia spp. was detected using PCR amplification of the ompB gene. Thereafter, both Rickettsia -negative and positive ticks underwent 16S rRNA gene amplification and Illumina highthroughput sequencing. Data was analysed using QIIME2 analysis pipeline. Results: The prevalence of Rickettsia was found to be 47.9% (45/94) with prevalence in Amblyomma at 78.5% (22/28), Hyalomma at 68.9% (20/29) and Rhipicephalus having the lowest at 8.1% (3/37). Proteobacteria, Firmicutes, Actinobacteriota and Euryachaeota were the most common phyla, while endosymbionts were uncommonly detected in the ticks. Further analysis showed significant differences in microbiome composition based on Rickettsia detection status ( p = 0.001) and location ( p = 0.001), based on the alpha diversity Shannon index, Bray Curtis beta diversity and PERMANOVA, whilst differences according to life stage, tick species and genus was only shown based on the Bray Curtis beta diversity and PERMANOVA analysis. Conclusion: Ultimately, this study provides valuable insights into the structure of the tick microbiome in parts of Zambia and how it is affected by the presence of Rickettsia .
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页数:12
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