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Morphological and molecular evidence reveals a new species of chewing louse Pancola ailurus n. sp. (Phthiraptera: Trichodectidae) from the endangered Chinese red panda Ailurus styani
Journal article   Open access   Peer reviewed

Morphological and molecular evidence reveals a new species of chewing louse Pancola ailurus n. sp. (Phthiraptera: Trichodectidae) from the endangered Chinese red panda Ailurus styani

Yuan-Ping Deng, Wei Wang, Yi-Tian Fu, Yu Nie, Yue Xie and Guo-Hua Liu
International Journal for Parasitology: Parasites and Wildlife, Vol.20, pp.31-38
2023
PMCID: PMC9811220
PMID: 36619891
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Morphological and molecular evidence reveals a new species of chewing louse Pancola ailurus n. sp. (Phthiraptera Trichodectidae) from the endangered Chinese red panda Ailurus styani3.36 MBDownloadView
Published Version Open Access CC BY V4.0
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https://doi.org/10.1016/j.ijppaw.2022.12.004View
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Abstract

Chinese red panda chewing lice Pancola ailurus new species systematics
Lice are six-legged, wingless, insect parasites of mammals and birds, and include two main functional groups: blood-sucking lice and chewing lice. However, it is still not clear whether the Chinese red panda Ailurus styani is infested with the parasitic louse. In the present study, we describe a new genus and a species of chewing louse, Pancola ailurus (Phthiraptera: Trichodectidae) based on morphological and molecular datasets. The morphological features showed that Pancola is closer to Paratrichodectes. The genetic divergence of cox1 and 12S rRNA among the Pancola ailurus n. sp. and other Trichodectidae lice was 29.7 – 34.6% and 38.9 – 43.6%, respectively. Phylogenetic analyses based on the available mitochondrial gene sequences showed that P. ailurus n. sp. is more closely related to Trichodectes canis and Geomydoecus aurei than to Felicola subrostratus and together nested within the family Trichodectidae. This study is the first record of parasitic lice from the endangered Chinese red panda A. styani and highlights the importance of integrating morphological and molecular datasets for the identification and discrimination of new louse species.

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Parasitology

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