↓ Skip to main content

Micropathogen Community Analysis in Hyalomma rufipes via High-Throughput Sequencing of Small RNAs

Overview of attention for article published in Frontiers in Cellular and Infection Microbiology, August 2017
Altmetric Badge

Mentioned by

twitter
2 X users

Citations

dimensions_citation
9 Dimensions

Readers on

mendeley
21 Mendeley
You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output. Click here to find out more.
Title
Micropathogen Community Analysis in Hyalomma rufipes via High-Throughput Sequencing of Small RNAs
Published in
Frontiers in Cellular and Infection Microbiology, August 2017
DOI 10.3389/fcimb.2017.00374
Pubmed ID
Authors

Jin Luo, Min-Xuan Liu, Qiao-Yun Ren, Ze Chen, Zhan-Cheng Tian, Jia-Wei Hao, Feng Wu, Xiao-Cui Liu, Jian-Xun Luo, Hong Yin, Hui Wang, Guang-Yuan Liu

Abstract

Ticks are important vectors in the transmission of a broad range of micropathogens to vertebrates, including humans. Because of the role of ticks in disease transmission, identifying and characterizing the micropathogen profiles of tick populations have become increasingly important. The objective of this study was to survey the micropathogens of Hyalomma rufipes ticks. Illumina HiSeq2000 technology was utilized to perform deep sequencing of small RNAs (sRNAs) extracted from field-collected H. rufipes ticks in Gansu Province, China. The resultant sRNA library data revealed that the surveyed tick populations produced reads that were homologous to St. Croix River Virus (SCRV) sequences. We also observed many reads that were homologous to microbial and/or pathogenic isolates, including bacteria, protozoa, and fungi. As part of this analysis, a phylogenetic tree was constructed to display the relationships among the homologous sequences that were identified. The study offered a unique opportunity to gain insight into the micropathogens of H. rufipes ticks. The effective control of arthropod vectors in the future will require knowledge of the micropathogen composition of vectors harboring infectious agents. Understanding the ecological factors that regulate vector propagation in association with the prevalence and persistence of micropathogen lineages is also imperative. These interactions may affect the evolution of micropathogen lineages, especially if the micropathogens rely on the vector or host for dispersal. The sRNA deep-sequencing approach used in this analysis provides an intuitive method to survey micropathogen prevalence in ticks and other vector species.

Timeline

Login to access the full chart related to this output.

If you don’t have an account, click here to discover Explorer

X Demographics

X Demographics

The data shown below were collected from the profiles of 2 X users who shared this research output. Click here to find out more about how the information was compiled.
As of 1 July 2024, you may notice a temporary increase in the numbers of X profiles with Unknown location. Click here to learn more.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 21 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 21 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 3 14%
Student > Bachelor 2 10%
Student > Master 2 10%
Student > Ph. D. Student 2 10%
Student > Doctoral Student 1 5%
Other 4 19%
Unknown 7 33%
Readers by discipline Count As %
Agricultural and Biological Sciences 7 33%
Veterinary Science and Veterinary Medicine 2 10%
Biochemistry, Genetics and Molecular Biology 2 10%
Business, Management and Accounting 1 5%
Nursing and Health Professions 1 5%
Other 1 5%
Unknown 7 33%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. 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 05 May 2018.
All research outputs
#18,567,744
of 22,997,544 outputs
Outputs from Frontiers in Cellular and Infection Microbiology
#4,903
of 6,496 outputs
Outputs of similar age
#242,660
of 316,580 outputs
Outputs of similar age from Frontiers in Cellular and Infection Microbiology
#94
of 124 outputs
Altmetric has tracked 22,997,544 research outputs across all sources so far. This one is in the 11th percentile – i.e., 11% of other outputs scored the same or lower than it.
So far Altmetric has tracked 6,496 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.3. This one is in the 6th percentile – i.e., 6% 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 316,580 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 12th percentile – i.e., 12% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 124 others from the same source and published within six weeks on either side of this one. This one is in the 12th percentile – i.e., 12% of its contemporaries scored the same or lower than it.