Natural hosts infected with Babesia in Fujian Province, China
XIAO Fang-zhen1, LIN Dai-hua1, LIU Wei-jun1, HAN Teng-wei1, ZHOU Shu-heng1, DENG Yan-qin1,2
1. Fujian Key Laboratory for Zoonoses, Fujian Center for Disease Control and Prevention, Fuzhou 350001, China; 2. Fujian Medical University, Fuzhou 350001, China
Abstract:We explored the status of Babesia infection in natural hosts in Fujian Province. Rodents in Fujian Province were captured by the night trapping method during 2014-2016. Heart blood samples were collected. At the same time blood samples of ox, goats and dogs were also collected, from which the fragments of 18S rRNA gene of Babesia were amplified by polymerase chain reaction (PCR). Data on infection rate were analyzed with Chi-square or Fisher exact test to indicate statistical significance. Results showed that 5 917 cages were laid and 381 rodents were captured, density of rodent was 6.44%. The overall Babesia infection rate in rodents was 7.61%, while infection rate in domesticated rodents was 1.68%, and the infection rate in wide rodents was 12.87%. The infection rate was higher in wild rodents than that in domesticated rodents, and the statistical analysis result revealed a significant difference. The infection rates in region of Central Fujian and Eastern Fujian was high, and no infection was found in Southern Fujian region. The statistical analysis result revealed a significant difference in infection rate among different regions. The infection rate of goats and dogs were determined to be 1.79% and 0.55%, and no infection was found in ox. The infection rate was higher in rodents than that in other host animals, and the statistical analysis result revealed a significant difference. It is suggested that the rodents, especially the wide rodents are the main natural hosts of Babesia.
肖方震, 林代华, 刘维俊, 韩腾伟, 周淑姮, 邓艳琴. 福建省动物宿主感染巴贝虫调查研究[J]. 中国人兽共患病学报, 2017, 33(9): 789-792.
XIAO Fang-zhen, LIN Dai-hua, LIU Wei-jun, HAN Teng-wei, ZHOU Shu-heng, DENG Yan-qin. Natural hosts infected with Babesia in Fujian Province, China. Chinese Journal of Zoonoses, 2017, 33(9): 789-792.
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