Organ-specific bacterial microbiota in the engorged female <i>Haemaphysalis longicornis</i> ticks

Li, Sisi;Yang, Chen;Zhang, Yufan;Chen, Kaili;Zhang, Xiaoyu;Liu, Jingze;Zhang, Yankai

Description

Bacterial microbiota are involved in tick physiology and varies with various factors. The variation of bacterial microbiota among tick organs is less investigated. In this study, the bacterial microbiota of four organs (ovaries, salivary glands, midgut, and Malpighian tubules) from the engorged female Haemaphysalis longicornis were surveyed using 16S rRNA high-throughput sequencing. Results indicated that the bacterial richness and diversity varied among tick organs, and ovaries had the lowest level of bacterial richness and diversity. The ovaries and salivary glands had relatively stable bacterial compositions when considering bacterial abundance. Proteobacteria was the dominant bacterial phylum in the four organs, followed by Firmicutes, Bacteroidota and Actinobacteriota. The ovaries carried more Proteobacteria, while the Firmicutes abundance was higher in salivary glands. The environmental bacteria including Staphylococcus, Pseudomonas, Brevundimonas, Acinetobacter, Enterobacter, and Stenotrophomonas had high abundance in the midgut and salivary glands, suggesting that ticks can acquire environmental bacteria through blood meals or host skin. The predominant proportion of Coxiella in ovaries ensures its vertical transmission, and Coxiella in Malpighian tubules can provide nutrients to the host. In conclusion, organ-specific bacterial microbiota was observed in the engorged female H. longicornis, and the functions of these bacteria in organs remain to be investigated.

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Metrics

Dataset Index

0.5

FAIR Score

85%

Citations

0

Mentions

0

Metrics Over Time

Publication Details

DOI

Publisher

Taylor & Francis

License

Creative Commons Attribution 4.0 International

Assigned Domain

Subfield

Plant Science

Field

Agricultural and Biological Sciences

Domain

Life Sciences

Confidence Score

63%

Source

Scholar Data Model

Keywords

MicrobiologyFOS: Biological sciencesGeneticsEcologyImmunologyFOS: Clinical medicineBiological Sciences not elsewhere classifiedDevelopmental BiologyInorganic ChemistryFOS: Chemical sciencesInfectious DiseasesFOS: Health sciences

Normalization Factors

FT

53.85

CTw

1.00

MTw

1.00