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Genetic differentiation of the oriental rat flea, Xenopsylla cheopis, from two sympatric host species

Overview of attention for article published in Parasites & Vectors, June 2018
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Title
Genetic differentiation of the oriental rat flea, Xenopsylla cheopis, from two sympatric host species
Published in
Parasites & Vectors, June 2018
DOI 10.1186/s13071-018-2903-8
Pubmed ID
Authors

Fang Zhao, Tongzuo Zhang, Jianping Su, Zuhao Huang, Aiguo Wu, Gonghua Lin

Abstract

The oriental rat flea (Xenopsylla cheopis), which infests several mammals, primarily rats (Rattus spp.), is the most notorious vector of human plague. In this study, we measured the genetic differentiation among populations of fleas from the Asian house rat (Rattus tanezumi) and the brown rat (R. norvegicus) using microsatellite markers in order to investigate the extent of host-switching in this parasite. We developed 11 polymorphic microsatellite loci for our study, nine of which showed high potential for inbreeding. AMOVA showed that the majority (84.07%, P < 0.001) of the variation was derived from within populations, followed by variation among groups (14.96%, P < 0.001); in contrast, variation within groups of populations was nearly absent (0.97%, P > 0.05). Analyses of the pairwise fixation index revealed that most of the ten allopatric population pairs but none of the five sympatric population pairs were significantly differentiated. Moreover, based on genetic structure clustering analysis, there was obvious differentiation between allopatric populations but not between sympatric population pairs. These results indicate the presence of frequent migrations of the oriental rat flea between the sympatric Asian house rat and brown rat, causing a high rate of gene flow and limited genetic differentiation. We suggest that there is no clear boundary limiting the migration of oriental rat fleas between the two hosts, and thus both rat species should be monitored equally for the purposes of plague prevention and control.

Twitter Demographics

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

Mendeley readers

The data shown below were compiled from readership statistics for 12 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 12 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 3 25%
Librarian 1 8%
Student > Doctoral Student 1 8%
Unspecified 1 8%
Professor 1 8%
Other 3 25%
Unknown 2 17%
Readers by discipline Count As %
Agricultural and Biological Sciences 4 33%
Arts and Humanities 2 17%
Biochemistry, Genetics and Molecular Biology 1 8%
Unspecified 1 8%
Nursing and Health Professions 1 8%
Other 1 8%
Unknown 2 17%

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 10 June 2018.
All research outputs
#10,507,772
of 13,799,368 outputs
Outputs from Parasites & Vectors
#2,381
of 3,688 outputs
Outputs of similar age
#188,841
of 273,291 outputs
Outputs of similar age from Parasites & Vectors
#1
of 1 outputs
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