文献类型: 外文期刊
第一作者: Zhou, Dong-Hui
作者: Zhou, Dong-Hui;Zhang, Xiu-Xiang;Zhu, Xing-Quan;Yuan, Zi-Guo;He, Xian-Hui;Luo, Sheng-Jun;Dubey, Jitender P.;Zhu, Yan-Ping;He, Yong;Zhang, Xiu-Xiang;Zhu, Xing-Quan
作者机构:
关键词: Toxoplasma gondii;Toxoplasmosis;Bat;China;Seroprevalence;Modified agglutination test
期刊名称:VECTOR-BORNE AND ZOONOTIC DISEASES ( 影响因子:2.133; 五年影响因子:2.491 )
ISSN: 1530-3667
年卷期: 2013 年 13 卷 6 期
页码:
收录情况: SCI
摘要: Toxoplasma gondii is an obligate intracellular protozoan parasite that can infect almost all warm-blooded animals and humans with a worldwide distribution. Bats are reservoirs for an increasing number of emerging zoonotic viruses, such as henipaviruses and severe acute respiratory syndrome coronavirus (SARS-CoV). However, little is known of T. gondii infection in bats. The objective of the present study was to determine the seroprevalence of T. gondii infection in bats in China. A total of 217 serum samples from 5 species of bats were collected between April, 2010, and August, 2011, from 4 provinces in China. Antibodies to T. gondii were determined using the modified agglutination test (MAT, 1:25 or higher). Antibodies to T. gondii were found in 26.5% (18/68) Megaderma lyra, 13.6% (12/88) Rousettus leschenaulti, 13.6% (3/22) Cynopterus sphinx, 20% (4/20) Vespertilio superaus, and 15.8% (3/19) Pipistrellus javanicus. Antibody titers ranged from 1:25 to 1:400, with titers of 1:200 detected in 4 of the 5 bat species. The present study suggests the likely occurrence of T. gondii infection in bats in China, and these bats are new putative hosts for T. gondii, which may pose a threat to human health.
分类号:
- 相关文献
作者其他论文 更多>>
-
Enhancing wheat protein through low-water-fertility under climate change without yield penalty
作者:Zhang, Cong;Chen, Jie;Hu, Kelin;Zhang, Cong;He, Yong
关键词:Climate change; Wheat; Protein and its components; Yield; Adapted measures
-
YOLOC-tiny: a generalized lightweight real-time detection model for multiripeness fruits of large non-green-ripe citrus in unstructured environments
作者:Tang, Zuoliang;Xu, Lijia;Li, Haoyang;Shi, Xiaoshi;Zhou, Long;Wang, Yuchao;Wu, Zhijun;Zhao, Yongpeng;Tang, Zuoliang;Shi, Xiaoshi;Ruan, Kun;Chen, Mingyou;Luo, Lufeng;He, Yong;Ma, Wei;Yang, Ning;Qiu, Yunqiao
关键词:non-green-ripe citrus; multiripeness fruits; YOLOv7; EfficientNet; CBAM; agricultural robot
-
Climate change enhances stability of wheat-flowering-date
作者:He, Yong;Xiong, Wei;Hu, Pengcheng;Hu, Pengcheng;Huang, Daiqing;Feurtado, J. Allan;Zhang, Tianyi;Hao, Chenyang;DePauw, Ron;Zheng, Bangyou;Hoogenboom, Gerrit;Dixonj, Laura E.;Wang, Hong;Challinor, Andrew Juan
关键词:Wheat flowering date stability; Crop modeling; Vernalization; Photoperiod; Climate change
-
Data-driven optimization of nitrogen fertilization and quality sensing across tea bud varieties using near-infrared spectroscopy and deep learning
作者:Zhang, Wenkai;Ji, Xusheng;Luo, Xuelun;He, Qinghai;Li, Xiaoli;He, Yong;Luo, Ying;Huang, Fuyin;Yan, Peng;Sanaeifar, Alireza;Guo, Hongen;He, Qinghai
关键词:Tea bud quality; Nitrogen status diagnosis; Near-infrared spectroscopy; Deep learning; Leaf color variants; Quality components
-
Trx4, a novel thioredoxin protein, is important for Toxoplasma gondii fitness
作者:Zhang, Zhi-Wei;Wang, Meng;Sun, Li-Xiu;Lei, Cheng-Lin;Wang, Jin-Lei;Fu, Bao-Quan;Luo, Jian-Xun;Li, Ting-Ting;Elsheikha, Hany M.;Wang, Jin-Lei;Fu, Bao-Quan;Li, Ting-Ting;Zhu, Xing-Quan
关键词:Toxoplasma gondii; Thioredoxin; Parasitophorous vacuole; Virulence; TurboID
-
Advanced deep learning algorithm for instant discriminating of tea leave stress symptoms by smartphone-based detection
作者:Huang, Zhenxiong;Gouda, Mostafa;Ye, Sitan;Wang, Tiancheng;Song, Xinbei;Li, Xiaoli;He, Yong;Li, Siyi;Gouda, Mostafa;Zhang, Xuechen;Zhang, Jin
关键词:Tea leaves; Infield stress detection; Canopy image; Deep learning models; YOLOv8m algorithm; Natural scenes
-
3D-based precise evaluation pipeline for maize ear rot using multi-view stereo reconstruction and point cloud semantic segmentation
作者:Yang, Rui;He, Yong;Lu, Xiangyu;Liu, Fei;Zhao, Yiying;Li, Yanmei;Yang, Yinhui;Kong, Wenwen
关键词:Maize ear rot; Multi-view stereo reconstruction; Point cloud; 3D semantic segmentation; Deep learning