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New insights into the impact of microbiome on horizontal and vertical transmission of a tick-borne pathogen

Overview of attention for article published in Microbiome, March 2023
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (82nd percentile)
  • Average Attention Score compared to outputs of the same age and source

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1 blog
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1 YouTube creator

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Title
New insights into the impact of microbiome on horizontal and vertical transmission of a tick-borne pathogen
Published in
Microbiome, March 2023
DOI 10.1186/s40168-023-01485-2
Pubmed ID
Authors

Li-Feng Du, Ming-Zhu Zhang, Ting-Ting Yuan, Xue-Bing Ni, Wei Wei, Xiao-Ming Cui, Ning Wang, Tao Xiong, Jie Zhang, Yu-Sheng Pan, Dai-Yun Zhu, Liang-Jing Li, Luo-Yuan Xia, Tian-Hong Wang, Ran Wei, Hong-Bo Liu, Yi Sun, Lin Zhao, Tommy Tsan-Yuk Lam, Wu-Chun Cao, Na Jia

Abstract

The impact of host skin microbiome on horizontal transmission of tick-borne pathogens , and of pathogen associated transstadial and transovarial changes in tick microbiome are largely unknown, but are important to control increasingly emerging tick-borne diseases worldwide. Focusing on a rickettsiosis pathogen, Rickettsia raoultii, we used R. raoultii-positive and R. raoultii-negative Dermacentor spp. tick colonies to study the involvement of skin microbiota in cutaneous infection with rickettsiae in laboratory mice, and the function of the tick microbiome on maintenance of rickettsiae through all tick developmental stages (eggs, larvae, nymphs, adults) over two generations. We observed changes in the skin bacteria community, such as Chlamydia, not only associated with rickettsial colonization but also with tick feeding on skin. The diversity of skin microbiome differed between paired tick-bitten and un-bitten sites. For vertical transmission, significant differences in the tick microbiota between pathogenic rickettsia-positive and -negative tick chorts was observed across all developmental stages at least over two generations, which appeared to be a common pattern not only for R. raoultii but also for another pathogenic species, Candidatus Rickettsia tarasevichiae. More importantly, bacterial differences were complemented by functional shifts primed for genetic information processing during blood feeding. Specifically, the differences in tick microbiome gene repertoire between pathogenic Rickettsia-positive and -negative progenies were enriched in pathways associated with metabolism and hormone signals during vertical transmission. We demonstrate that host skin microbiome might be a new factor determining the transmission of rickettsial pathogens through ticks. While pathogenic rickettsiae infect vertebrate hosts during blood-feeding by the tick, they may also manipulate the maturation of the tick through changing the functional potential of its microbiota over the tick's life stages. The findings here might spur the development of new-generation control methods for ticks and tick-borne pathogens. Video Abstract.

X Demographics

X Demographics

The data shown below were collected from the profiles of 3 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 20 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 20 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 4 20%
Student > Master 3 15%
Student > Ph. D. Student 3 15%
Unspecified 2 10%
Student > Doctoral Student 1 5%
Other 2 10%
Unknown 5 25%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 5 25%
Agricultural and Biological Sciences 4 20%
Environmental Science 2 10%
Unspecified 2 10%
Veterinary Science and Veterinary Medicine 1 5%
Other 1 5%
Unknown 5 25%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 10. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 22 March 2023.
All research outputs
#3,811,752
of 25,540,105 outputs
Outputs from Microbiome
#1,324
of 1,776 outputs
Outputs of similar age
#73,815
of 427,605 outputs
Outputs of similar age from Microbiome
#53
of 79 outputs
Altmetric has tracked 25,540,105 research outputs across all sources so far. Compared to these this one has done well and is in the 85th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 1,776 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 38.0. This one is in the 25th percentile – i.e., 25% of its peers scored the same or lower than it.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 427,605 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 82% of its contemporaries.
We're also able to compare this research output to 79 others from the same source and published within six weeks on either side of this one. This one is in the 32nd percentile – i.e., 32% of its contemporaries scored the same or lower than it.