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Parasitology Research

, Volume 112, Issue 10, pp 3543–3549 | Cite as

Ectoparasitic insects and mites on Yunnan red-backed voles (Eothenomys miletus) from a localized area in southwest China

  • Xian-Guo GuoEmail author
  • John R. Speakman
  • Wen-Ge Dong
  • Xing-Yuan Men
  • Ti-Jun Qian
  • Dian Wu
  • Feng Qin
  • Wen-Yu Song
Original Paper

Abstract

Ectoparasitic insects and mites on Yunnan red-backed voles (Eothenomys miletus) in Dali prefecture, Yunnan Province, southwest China, were studied between 2003 and 2004. In total, 34,389 individuals of 86 species of ectoparasitic insects (seven species of fleas and five species of sucking lice) and mites (23 species of gamasid mites and 51 species of chigger mites) were collected from 916 individual hosts. The diversity of ectoparasites on this single rodent species in such a small area was much higher than in previous reports, which concerned more host species and greater geographical areas. The majority of the ectoparasites were chigger mites, which accounted for 59.3 % of the parasite species and 87.4 % of the individual parasites. Most voles harbored parasites with an overall prevalence (P) of 82.5 % and mean abundance (MA) of 37.5 parasites per host. The dispersion coefficient (C) and patchiness index (m*/m) were used to study the spatial patterns of the seven dominant parasite species, and all seven had aggregated distributions. The species abundance distribution of the ectoparasites on the vole was fitted by Preston’s lognormal distribution (R 2 = 0.82), and the total expected parasite species was estimated from this plot as 167 species. Yunnan red-backed voles harbor many ectoparasites as revealed by examination of a large host population. Future field investigations should sample large numbers of host individuals to assess ectoparasite populations.

Keywords

Parasite Species Hemorrhagic Fever With Renal Syndrome Typhus Scrub Typhus Species Abundance Distribution 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

Notes

Acknowledgments

The project was supported by the National Natural Science Foundation of China (no. 81260259) and the China Scholarship Council (no. 2009853566) to Xian-guo Guo who visited the University of Aberdeen, UK, between 2011 and 2012. We would like to express our thanks for the fund support.

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Copyright information

© Springer-Verlag Berlin Heidelberg 2013

Authors and Affiliations

  • Xian-Guo Guo
    • 1
    Email author
  • John R. Speakman
    • 2
    • 3
  • Wen-Ge Dong
    • 1
  • Xing-Yuan Men
    • 1
    • 4
  • Ti-Jun Qian
    • 1
  • Dian Wu
    • 1
  • Feng Qin
    • 1
  • Wen-Yu Song
    • 1
  1. 1.Vector Laboratory, Institute of Pathogens and VectorsDali University (Branch of Key Laboratory for Preventing and Controlling Plague of Yunnan Province)DaliChina
  2. 2.Institute of Biological and Environmental SciencesUniversity of AberdeenAberdeenUK
  3. 3.Institute of Genetics and Developmental BiologyChinese Academy of SciencesBeijingChina
  4. 4.Institute of Plant ProtectionShandong Academy of Agricultural SciencesJinanChina

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