Jing-Chao Lan

Jing-Chao Lan


Research Focus & Metrics

Academic Career Length

10Years (2017-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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18 October 2017 in Parasites & Vectors
Verified
Journal Article
Open access
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WLWei Li
Wei Li
YSYuan Song
Yuan Song
Zhijun ZhongZhijun Zhong
Zhijun Zhong
XHXiangming Huang
Xiangming Huang
CWChengdong Wang
Chengdong Wang
GPGuangneng Peng
Guangneng Peng
Most studies on Enterocytozoon bieneusi are conducted based on the internal transcribed spacer (ITS) region of the rRNA gene, whereas some have examined E. bieneusi population structures. Currently, the population genetics of this pathogen in giant panda remains unknown. The objective of this study was to determine the E. bieneusi population in captive giant pandas in China. We examined 69 E. bieneusi-positive specimens from captive giant pandas in China using five loci (ITS, MS1, MS3, MS4 and MS7) to infer E. bieneusi population genetics. For multilocus genotype (MLG) analysis of E. bieneusi-positive isolates, the MS1, MS3, MS4, and MS7 microsatellite and minisatellite loci were amplified and sequenced in 48, 45, 50 and 47 specimens, respectively, generating ten, eight, nine and five types. We successfully amplified 36 specimens and sequenced all five loci, forming 24 MLGs. Multilocus sequence analysis revealed a strong and significant linkage disequilibrium (LD), indicating a clonal population. This result was further supported by measurements of pairwise intergenic LD and a standardized index of association (I S A) from allelic profile data. The analysis in STRUCTURE suggested three subpopulations in E. bieneusi, further confirmed using right’s fixation index (F ST). Subpopulations 1 and 2 exhibited an epidemic structure, whereas subpopulation 3 had a clonal structure. Our results describe E. bieneusi population genetics in giant pandas for the first time, improving the current understanding E. bieneusi epidemiology in the studied region. These data also benefit future studies exploring potential transmission risks from pandas to other animals, including humans.

25 August 2023 in Mammalian Biology
Verified
Journal Article
Closed access
PDF file
HHHe Huang
He Huang
SCShiyi Chen
Shiyi Chen
YFYongyou Feng
Yongyou Feng
ZYZongjin Ye
Zongjin Ye
RHRong Hou
Rong Hou
JLJing-Chao Lan
Jing-Chao Lan