Population genetics of Enterocytozoon bieneusi in captive giant pandas of China

• Main Authors: Wei Li, Yuan Song, Zhijun Zhong, Xiangming Huang, Chengdong Wang, Caiwu Li, Haidi Yang, Haifeng Liu, Zhihua Ren, Jingchao Lan, Kongju Wu, Guangneng Peng
• Format: Article
• Language: English
• Published: BMC 2017-10-01
• Series: Parasites & Vectors
• Subjects: E. bieneusi; Multilocus sequence typing; Gene diversity; Population genetics; Population structure; Linkage disequilibrium
• Online Access: http://link.springer.com/article/10.1186/s13071-017-2459-z

Abstract Background 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. Results 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. Conclusions 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.