Faunal and Ecological Analysis of Gamasid Mites (Acari: Mesostigmata) Associated with Small Mammals in Yunnan Province, Southwest China

被引:0
作者
Yin, Peng-Wu [1 ]
Peng, Pei-Ying [2 ]
Guo, Xian-Guo [1 ]
Song, Wen-Yu [1 ]
Ren, Tian-Guang [3 ]
Zhao, Ya-Fei [1 ]
Dong, Wen-Ge [1 ]
Jin, Dao-Chao [4 ]
机构
[1] Dali Univ, Inst Pathogens & Vectors, Yunnan Prov Key Lab Zoonosis Control & Prevent, Dali 671000, Peoples R China
[2] Qujing Med Coll, Inst Microbiol, Qujing 655100, Peoples R China
[3] Baoshan Univ, Sch Govt Adm, Baoshan 678000, Peoples R China
[4] Guizhou Univ, Inst Entomol, Guiyang 550025, Peoples R China
基金
中国国家自然科学基金;
关键词
Acari; ectoparasite; faunal distribution; gamasid mite; species diversity; Yunnan of China; ORNITHONYSSUS-BACOTI ACARI; TROPICAL RAT MITE; HEMORRHAGIC-FEVER; RENAL SYNDROME; SPECIES COMPOSITION; NICHE BREADTH; HOST; PARASITIFORMES; ABUNDANCE; PATTERNS;
D O I
10.3390/insects16030305
中图分类号
Q96 [昆虫学];
学科分类号
摘要
Gamasid mites (Acari: Mesostigmata) are ecologically diverse arthropods, many of which act as vectors for zoonotic diseases such as rickettsial pox and hemorrhagic fever with renal syndrome. This study investigates the faunal and ecological patterns of gamasid mites across five zoogeographic microregions in Yunnan Province, China, a biodiversity hotspot with complex topography. From 1990 to 2022, 18,063 small mammal hosts (primarily rodents) were surveyed, yielding 167 mite species (141,501 specimens). The key findings include the following: (1) Low host specificity: most mite species parasitized >10 host species, with Laelaps nuttalli, L. echidninus, Dipolaelaps anourosorecis, L. guizhouensis, L. turkestanicus, and L. chini dominating (>76.59% abundance). (2) Environmental heterogeneity: mountainous and outdoor habitats exhibited higher mite diversity than flatland/indoor environments. (3) Zoonotic risks: thirteen vector species with low host specificity were identified, potentially amplifying disease transmission. (4) Ecological niche dynamics: high niche overlaps (e.g., Laelaps guizhouensis vs. L. xingyiensis: O-ik = 0.997) and positive interspecific correlations (e.g., L. echidninus vs. L. nuttalli: R = 0.97, p < 0.01) suggest co-occurrence trends on shared hosts. (5) Biogeographic patterns: mite communities were clustered distinctly by microregion, with the highest similarity being obtained between western/southern plateaus (IV and V) and unique diversity in the Hengduan Mountains (I). (6) Chao 1 estimation predicted 203 total mite species in Yunnan, 36 of which were undetected in the current sampling. These results highlight the interplay of biogeography, host ecology, and environmental factors in shaping mite distributions, with implications for zoonotic disease surveillance in biodiverse regions.
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页数:31
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