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Chen F, Fu S, Jiang JF, Feng H, Liu Z, Sun Y, Li M. Persistent human babesiosis with low-grade parasitemia, challenges for clinical diagnosis and management. Heliyon 2024; 10:e39960. [PMID: 39634383 PMCID: PMC11616506 DOI: 10.1016/j.heliyon.2024.e39960] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/16/2024] [Revised: 10/28/2024] [Accepted: 10/29/2024] [Indexed: 12/07/2024] Open
Abstract
Human babesiosis, caused by several Babesia parasites and transmitted by tick bites and other blood-associated containments, has emerged as a major public health threat around the world. In the absence of readily discernible clinical manifestations, the diagnosis of human babesiosis has been contingent upon the identification of Babesia parasites through the utilization of detection arrays. Nevertheless, cases of persistent and relapsing babesiosis with low-grade parasitemia have been sporadically observed in patients with and without immunosuppression, prompting a challenge to the reliability of routine clinical laboratory tests and efficient anti-babesial therapy. In such instances, it is essential to implement repeated and prolonged monitoring until complete eradication of the parasites is achieved. This review presents an overview of the epidemiology of persistent and relapsing human babesiosis, current diagnostic techniques, the mechanism of persistent relapse and practical clinical management strategies. In order to respond effectively to the challenge of low-grade parasitemia infection in the aforementioned patients, it is essential to prioritize the development and validation of rapid, sensitive, and cost-effective point-of-care diagnostic techniques, as well as the development of novel pharmaceutical agents and their combinations.
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Affiliation(s)
- Fei Chen
- State Key Laboratory of Pathogen and Biosecurity, Academic Military Medical Sciences, Beijing 100071, China
- Department of Clinical Laboratory Medicine, Huadong Hospital affiliated to Fudan University, Shanghai 200040, China
| | - Shuhong Fu
- Department of Clinical Laboratory Medicine, the Second Medical Centre, Chinese People's Liberation Army General Hospital, Beijing 100853, China
| | - Jia-fu Jiang
- State Key Laboratory of Pathogen and Biosecurity, Academic Military Medical Sciences, Beijing 100071, China
| | - Hao Feng
- State Key Laboratory of Pathogen and Biosecurity, Academic Military Medical Sciences, Beijing 100071, China
| | - Zhitong Liu
- State Key Laboratory of Pathogen and Biosecurity, Academic Military Medical Sciences, Beijing 100071, China
| | - Yi Sun
- State Key Laboratory of Pathogen and Biosecurity, Academic Military Medical Sciences, Beijing 100071, China
| | - Mianyang Li
- Department of Clinical Laboratory Medicine, the First Medical Centre, Chinese People's Liberation Army General Hospital, Beijing 100853, China
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Mkulo EM, Wang B, Amoah K, Huang Y, Cai J, Jin X, Wang Z. The current status and development forecasts of vaccines for aquaculture and its effects on bacterial and viral diseases. Microb Pathog 2024; 196:106971. [PMID: 39307198 DOI: 10.1016/j.micpath.2024.106971] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/09/2024] [Revised: 08/19/2024] [Accepted: 09/19/2024] [Indexed: 10/01/2024]
Abstract
The aquaculture sector predicts protein-rich meals by 2040 and has experienced significant economic shifts since 2000. However, challenges emanating from disease control measures, brood stock improvement, feed advancements, hatchery technology, and water quality management due to environmental fluctuations have been taken as major causative agents for hindering the sector's growth. For the past years, aquatic disease prevention and control have principally depended on the use of various antibiotics, ecologically integrated control, other immunoprophylaxis mechanisms, and chemical drugs, but the long-term use of chemicals such as antibiotics not only escalates antibiotic-resistant bacteria and genes but also harms the fish and the environments, resulting in drug residues in aquatic products, severely obstructing the growth of the aquaculture sector. The field of science has opened new avenues in basic and applied research for creating and producing innovative and effective vaccines and the enhancement of current vaccines to protect against numerous infectious diseases. Recent advances in vaccines and vaccinology could lead to novel vaccine candidates that can tackle fish diseases, including parasitic organism agents, for which the current vaccinations are inadequate. In this review, we study and evaluate the growing aquaculture production by focusing on the current knowledge, recent progress, and prospects related to vaccinations and immunizations in the aquaculture industry and their effects on treating bacterial and viral diseases. The subject matter covers a variety of vaccines, such as conventional inactivated and attenuated vaccines as well as advanced vaccines, and examines their importance in real-world aquaculture scenarios. To encourage enhanced importation of vaccines for aquaculture sustainability and profitability and also help in dealing with challenges emanating from diseases, national and international scientific and policy initiatives need to be informed about the fundamental understanding of vaccines.
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Affiliation(s)
- Evodia Moses Mkulo
- College of Fisheries, Guangdong Ocean University, Zhanjiang, 524088, China; Southern Marine Science and Engineering Guangdong Laboratory, Zhanjiang, 524025, China; Guangdong Provincial Key Laboratory of Pathogenic Biology and Epidemiology for Aquatic Economic Animals, Zhanjiang, 524088, China
| | - Bei Wang
- College of Fisheries, Guangdong Ocean University, Zhanjiang, 524088, China; Guangdong Provincial Key Laboratory of Aquatic Animal Disease Control and Healthy Culture, Guangdong Ocean University, Zhanjiang, 524088, China; Key Laboratory of Control for Disease of Aquatic Animals of Guangdong Higher Education Institutes, Southern Marine Science and Engineering Guangdong Laboratory, Zhanjiang, China; Guangdong Provincial Engineering Research Center for Aquatic Animal Health Assessment, Shenzhen, 327005, China
| | - Kwaku Amoah
- College of Fisheries, Guangdong Ocean University, Zhanjiang, 524088, China; Guangdong Provincial Key Laboratory of Aquatic Animal Disease Control and Healthy Culture, Guangdong Ocean University, Zhanjiang, 524088, China; Key Laboratory of Control for Disease of Aquatic Animals of Guangdong Higher Education Institutes, Southern Marine Science and Engineering Guangdong Laboratory, Zhanjiang, China; Guangdong Provincial Engineering Research Center for Aquatic Animal Health Assessment, Shenzhen, 327005, China.
| | - Yu Huang
- College of Fisheries, Guangdong Ocean University, Zhanjiang, 524088, China; Guangdong Provincial Key Laboratory of Aquatic Animal Disease Control and Healthy Culture, Guangdong Ocean University, Zhanjiang, 524088, China; Key Laboratory of Control for Disease of Aquatic Animals of Guangdong Higher Education Institutes, Southern Marine Science and Engineering Guangdong Laboratory, Zhanjiang, China; Guangdong Provincial Engineering Research Center for Aquatic Animal Health Assessment, Shenzhen, 327005, China
| | - Jia Cai
- College of Fisheries, Guangdong Ocean University, Zhanjiang, 524088, China; Guangdong Provincial Key Laboratory of Aquatic Animal Disease Control and Healthy Culture, Guangdong Ocean University, Zhanjiang, 524088, China; Key Laboratory of Control for Disease of Aquatic Animals of Guangdong Higher Education Institutes, Southern Marine Science and Engineering Guangdong Laboratory, Zhanjiang, China; Guangdong Provincial Engineering Research Center for Aquatic Animal Health Assessment, Shenzhen, 327005, China
| | - Xiao Jin
- College of Fisheries, Guangdong Ocean University, Zhanjiang, 524088, China; Guangdong Provincial Key Laboratory of Aquatic Animal Disease Control and Healthy Culture, Guangdong Ocean University, Zhanjiang, 524088, China; Key Laboratory of Control for Disease of Aquatic Animals of Guangdong Higher Education Institutes, Southern Marine Science and Engineering Guangdong Laboratory, Zhanjiang, China; Guangdong Provincial Engineering Research Center for Aquatic Animal Health Assessment, Shenzhen, 327005, China
| | - Zhongliang Wang
- College of Fisheries, Guangdong Ocean University, Zhanjiang, 524088, China; Southern Marine Science and Engineering Guangdong Laboratory, Zhanjiang, 524025, China; Guangdong Provincial Key Laboratory of Pathogenic Biology and Epidemiology for Aquatic Economic Animals, Zhanjiang, 524088, China; Guangdong Provincial Key Laboratory of Aquatic Animal Disease Control and Healthy Culture, Guangdong Ocean University, Zhanjiang, 524088, China; Agro-Tech Extension Center of Guangdong Province, Guangzhou, China.
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Chen WC, Chang CC, Lin YE. Pulmonary Tuberculosis Diagnosis Using an Intelligent Microscopy Scanner and Image Recognition Model for Improved Acid-Fast Bacilli Detection in Smears. Microorganisms 2024; 12:1734. [PMID: 39203575 PMCID: PMC11356913 DOI: 10.3390/microorganisms12081734] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/19/2024] [Revised: 08/01/2024] [Accepted: 08/16/2024] [Indexed: 09/03/2024] Open
Abstract
Microscopic examination of acid-fast mycobacterial bacilli (AFB) in sputum smears remains the most economical and readily available method for laboratory diagnosis of pulmonary tuberculosis (TB). However, this conventional approach is low in sensitivity and labor-intensive. An automated microscopy system incorporating artificial intelligence and machine learning for AFB identification was evaluated. The study was conducted at an infectious disease hospital in Jiangsu Province, China, utilizing an intelligent microscope system. A total of 1000 sputum smears were included in the study, with the system capturing digital microscopic images and employing an image recognition model to automatically identify and classify AFBs. Referee technicians served as the gold standard for discrepant results. The automated system demonstrated an overall accuracy of 96.70% (967/1000), sensitivity of 91.94% (194/211), specificity of 97.97% (773/789), and negative predictive value (NPV) of 97.85% (773/790) at a prevalence of 21.1% (211/1000). Incorporating AI and machine learning into an automated microscopy system demonstrated the potential to enhance the sensitivity and efficiency of AFB detection in sputum smears compared to conventional manual microscopy. This approach holds promise for widespread application in TB diagnostics and potentially other fields requiring labor-intensive microscopic examination.
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Affiliation(s)
- Wei-Chuan Chen
- Division of Teaching and Education, Teaching and Research Department, Kaohsiung Veterans General Hospital, Kaohsiung 813414, Taiwan; (W.-C.C.)
- Department of Pharmacy Master Program, Tajen University, Yanpu 907101, Taiwan
| | - Chi-Chuan Chang
- Division of Teaching and Education, Teaching and Research Department, Kaohsiung Veterans General Hospital, Kaohsiung 813414, Taiwan; (W.-C.C.)
- Graduate Institute of Human Resource and Knowledge Management, National Kaohsiung Normal University, Kaohsiung 802561, Taiwan
| | - Yusen Eason Lin
- Graduate Institute of Human Resource and Knowledge Management, National Kaohsiung Normal University, Kaohsiung 802561, Taiwan
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Nargan K, Glasgow JN, Nadeem S, Naidoo T, Wells G, Hunter RL, Hutton A, Lumamba K, Msimang M, Benson PV, Steyn AJC. Spatial distribution of Mycobacterium tuberculosis mRNA and secreted antigens in acid-fast negative human antemortem and resected tissue. EBioMedicine 2024; 105:105196. [PMID: 38880068 PMCID: PMC11233921 DOI: 10.1016/j.ebiom.2024.105196] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/20/2023] [Revised: 05/28/2024] [Accepted: 05/28/2024] [Indexed: 06/18/2024] Open
Abstract
BACKGROUND The ability to detect evidence of Mycobacterium tuberculosis (Mtb) infection within human tissues is critical to the study of Mtb physiology, tropism, and spatial distribution within TB lesions. The capacity of the widely-used Ziehl-Neelsen (ZN) staining method for identifying Mtb acid-fast bacilli (AFB) in tissue is highly variable, which can limit detection of Mtb bacilli for research and diagnostic purposes. Here, we sought to circumvent these limitations via detection of Mtb mRNA and secreted antigens in human tuberculous tissue. METHODS We adapted RNAscope, an RNA in situ hybridisation (RISH) technique, to detect Mtb mRNA in ante- and postmortem human TB tissues and developed a dual ZN/immunohistochemistry staining approach to identify AFB and bacilli producing antigen 85B (Ag85B). FINDINGS We identified Mtb mRNA within intact and disintegrating bacilli as well as extrabacillary mRNA. Mtb mRNA was distributed zonally within necrotic and non-necrotic granulomas. We also found Mtb mRNA within, and adjacent to, necrotic granulomas in ZN-negative lung tissue and in Ag85B-positive bronchiolar epithelium. Intriguingly, we observed accumulation of Mtb mRNA and Ag85B in the cytoplasm of host cells. Notably, many AFB were negative for Ag85B staining. Mtb mRNA was observed in ZN-negative antemortem lymph node biopsies. INTERPRETATION RNAscope and dual ZN/immunohistochemistry staining are well-suited for identifying subsets of intact Mtb and/or bacillary remnants in human tissue. RNAscope can identify Mtb mRNA in ZN-negative tissues from patients with TB and may have diagnostic potential in complex TB cases. FUNDING Wellcome Leap Delta Tissue Program, Wellcome Strategic Core Award, the National Institutes of Health (NIH, USA), the Mary Heersink Institute for Global Health at UAB, the UAB Heersink School of Medicine.
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Affiliation(s)
- Kievershen Nargan
- Africa Health Research Institute, University of KwaZulu-Natal, Durban, South Africa
| | - Joel N Glasgow
- Department of Microbiology, University of Alabama at Birmingham, Birmingham, AL, USA
| | - Sajid Nadeem
- Department of Microbiology, University of Alabama at Birmingham, Birmingham, AL, USA
| | - Threnesan Naidoo
- Africa Health Research Institute, University of KwaZulu-Natal, Durban, South Africa; Department of Forensic and Legal Medicine, Walter Sisulu University, Mthatha, South Africa
| | - Gordon Wells
- Africa Health Research Institute, University of KwaZulu-Natal, Durban, South Africa
| | - Robert L Hunter
- Department of Pathology and Laboratory Medicine, University of Texas Health Sciences Center at Houston, Houston, TX, USA
| | - Anneka Hutton
- Division of Pulmonary, Allergy, and Critical Care Medicine, Department of Medicine, University of Alabama at Birmingham, Birmingham, AL, USA
| | - Kapongo Lumamba
- Africa Health Research Institute, University of KwaZulu-Natal, Durban, South Africa
| | - Mpumelelo Msimang
- Department of Anatomical Pathology, National Health Laboratory Service, IALCH, Durban, South Africa
| | - Paul V Benson
- Department of Pathology, University of Alabama at Birmingham, Birmingham, AL, USA
| | - Adrie J C Steyn
- Africa Health Research Institute, University of KwaZulu-Natal, Durban, South Africa; Department of Microbiology, University of Alabama at Birmingham, Birmingham, AL, USA; Centers for AIDS Research and Free Radical Biology, University of Alabama at Birmingham, Birmingham, AL, USA.
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Hussain M, He X, Wang C, Wang Y, Wang J, Chen M, Kang H, Yang N, Ni X, Li J, Zhou X, Liu B. Recent advances in microfluidic-based spectroscopic approaches for pathogen detection. BIOMICROFLUIDICS 2024; 18:031505. [PMID: 38855476 PMCID: PMC11162289 DOI: 10.1063/5.0204987] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Received: 02/23/2024] [Accepted: 05/30/2024] [Indexed: 06/11/2024]
Abstract
Rapid identification of pathogens with higher sensitivity and specificity plays a significant role in maintaining public health, environmental monitoring, controlling food quality, and clinical diagnostics. Different methods have been widely used in food testing laboratories, quality control departments in food companies, hospitals, and clinical settings to identify pathogens. Some limitations in current pathogens detection methods are time-consuming, expensive, and laborious sample preparation, making it unsuitable for rapid detection. Microfluidics has emerged as a promising technology for biosensing applications due to its ability to precisely manipulate small volumes of fluids. Microfluidics platforms combined with spectroscopic techniques are capable of developing miniaturized devices that can detect and quantify pathogenic samples. The review focuses on the advancements in microfluidic devices integrated with spectroscopic methods for detecting bacterial microbes over the past five years. The review is based on several spectroscopic techniques, including fluorescence detection, surface-enhanced Raman scattering, and dynamic light scattering methods coupled with microfluidic platforms. The key detection principles of different approaches were discussed and summarized. Finally, the future possible directions and challenges in microfluidic-based spectroscopy for isolating and detecting pathogens using the latest innovations were also discussed.
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Affiliation(s)
| | - Xu He
- Engineering Research Center of Intelligent Theranostics Technology and Instruments, Ministry of Education, School of Biomedical Engineering and Informatics, Nanjing Medical University, Nanjing 211166, China
| | - Chao Wang
- Engineering Research Center of Intelligent Theranostics Technology and Instruments, Ministry of Education, School of Biomedical Engineering and Informatics, Nanjing Medical University, Nanjing 211166, China
| | - Yichuan Wang
- Engineering Research Center of Intelligent Theranostics Technology and Instruments, Ministry of Education, School of Biomedical Engineering and Informatics, Nanjing Medical University, Nanjing 211166, China
| | - Jingjing Wang
- Engineering Research Center of Intelligent Theranostics Technology and Instruments, Ministry of Education, School of Biomedical Engineering and Informatics, Nanjing Medical University, Nanjing 211166, China
| | - Mingyue Chen
- Engineering Research Center of Intelligent Theranostics Technology and Instruments, Ministry of Education, School of Biomedical Engineering and Informatics, Nanjing Medical University, Nanjing 211166, China
| | - Haiquan Kang
- Department of Laboratory Medicine, Affiliated Hospital of Xuzhou Medical University, Xuzhou 221002, China
| | | | - Xinye Ni
- The Affiliated Changzhou Second People’s Hospital of Nanjing Medical University, Changzhou Second People's Hospital, Changzhou Medical Center, Nanjing Medical University, Changzhou 213161, China
| | | | - Xiuping Zhou
- Department of Laboratory Medicine, The Peoples Hospital of Rugao, Rugao Hospital Affiliated to Nantong University, Nantong 226500, China
| | - Bin Liu
- Author to whom correspondence should be addressed:
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Rolph MJ, Bolfa P, Cavanaugh SM, Rolph KE. Fluorescent In Situ Hybridization for the Detection of Intracellular Bacteria in Companion Animals. Vet Sci 2024; 11:52. [PMID: 38275934 PMCID: PMC10821249 DOI: 10.3390/vetsci11010052] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/19/2023] [Revised: 01/10/2024] [Accepted: 01/18/2024] [Indexed: 01/27/2024] Open
Abstract
FISH techniques have been applied for the visualization and identification of intracellular bacteria in companion animal species. Most frequently, these techniques have focused on the identification of adhesive-invasive Escherichia coli in gastrointestinal disease, although various other organisms have been identified in inflammatory or neoplastic gastrointestinal disease. Previous studies have investigated a potential role of Helicobacter spp. in inflammatory gastrointestinal and hepatic conditions. Other studies evaluating the role of infectious organisms in hepatopathies have received some attention with mixed results. FISH techniques using both eubacterial and species-specific probes have been applied in inflammatory cardiovascular, urinary, and cutaneous diseases to screen for intracellular bacteria. This review summarizes the results of these studies.
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Affiliation(s)
| | | | | | - Kerry E. Rolph
- Center for Integrative Mammalian Research, Ross University School of Veterinary Medicine, Basseterre P.O. Box 334, Saint Kitts and Nevis
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Shah JS, Burrascano JJ, Ramasamy R. Recombinant protein immunoblots for differential diagnosis of tick-borne relapsing fever and Lyme disease. J Vector Borne Dis 2023; 60:353-364. [PMID: 38174512 DOI: 10.4103/0972-9062.383641] [Citation(s) in RCA: 5] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/05/2024] Open
Abstract
Lyme disease (LD) is caused by a group of tick-borne bacteria of the genus Borrelia termed Lyme disease Borreliae (LDB). The detection of serum antibodies to specific LDB antigens is widely used to support diagnosis of LD. Recent findings highlight a need for serological tests that can differentiate LD from tick-borne relapsing fever (TBRF) caused by a separate group of Borrelia species termed relapsing fever Borreliae. This is because LD and TBRF share some clinical symptoms and can occur in overlapping locations. The development of serological tests for TBRF is at an early stage compared with LD. This article reviews the application of line immunoblots (IBs), where recombinant proteins applied as lines on nitrocellulose membrane strips are used to detect antibodies in patient sera, for the diagnosis and differentiation of LD and TBRF.
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Affiliation(s)
- Jyotsna S Shah
- IGeneX Inc. Milpitas; ID-FISH Technology Inc., California, USA
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Wang BH, Du LF, Zhang MZ, Xia LY, Li C, Lin ZT, Wang N, Gao WY, Ye RZ, Liu JY, Han XY, Shi WQ, Shi XY, Jiang JF, Jia N, Cui XM, Zhao L, Cao WC. Genomic Characterization of Theileria luwenshuni Strain Cheeloo. Microbiol Spectr 2023; 11:e0030123. [PMID: 37260375 PMCID: PMC10434005 DOI: 10.1128/spectrum.00301-23] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/19/2023] [Accepted: 05/11/2023] [Indexed: 06/02/2023] Open
Abstract
Theileria, a tick-borne intracellular protozoan, can cause infections of various livestock and wildlife around the world, posing a threat to veterinary health. Although more and more Theileria species have been identified, genomes have been available only from four Theileria species to date. Here, we assembled a whole genome of Theileria luwenshuni, an emerging Theileria, through next-generation sequencing of purified erythrocytes from the blood of a naturally infected goat. We designated it T. luwenshuni str. Cheeloo because its genome was assembled by the researchers at Cheeloo College of Medicine, Shandong University, China. The genome of T. lunwenshuni str. Cheeloo was the smallest in comparison with the other four Theileria species. T. luwenshuni str. Cheeloo possessed the fewest gene gains and gene family expansion. The protein count of each category was always comparable between T. luwenshuni str. Cheeloo and T. orientalis str. Shintoku in the Eukaryote Orthologs annotation, though there were remarkable differences in genome size. T. luwenshuni str. Cheeloo had lower counts than the other four Theileria species in most categories at level 3 of Gene Ontology annotation. Kyoto Encyclopedia of Genes and Genomes annotation revealed a loss of the c-Myb in T. luwenshuni str. Cheeloo. The infection rate of T. luwenshuni str. Cheeloo was up to 81.5% in a total of 54 goats from three flocks. The phylogenetic analyses based on both 18S rRNA and cox1 genes indicated that T. luwenshuni had relatively low diversity. The first characterization of the T. luwenshuni genome will promote better understanding of the emerging Theileria. IMPORTANCE Theileria has led to substantial economic losses in animal husbandry. Whole-genome sequencing data of the genus Theileria are currently limited, which has prohibited us from further understanding their molecular features. This work depicted whole-genome sequences of T. luwenshuni str. Cheeloo, an emerging Theileria species, and reported a high prevalence of T. luwenshuni str. Cheeloo infection in goats. The first assembly and characterization of T. luwenshuni genome will benefit exploring the infective and pathogenic mechanisms of the emerging Theileria to provide scientific basis for future control strategies of theileriosis.
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Affiliation(s)
- Bai-Hui Wang
- Institute of EcoHealth, School of Public Health, Shandong University, Jinan, Shandong, People’s Republic of China
| | - Li-Feng Du
- Institute of EcoHealth, School of Public Health, Shandong University, Jinan, Shandong, People’s Republic of China
| | - Ming-Zhu Zhang
- Institute of EcoHealth, School of Public Health, Shandong University, Jinan, Shandong, People’s Republic of China
| | - Luo-Yuan Xia
- Institute of EcoHealth, School of Public Health, Shandong University, Jinan, Shandong, People’s Republic of China
| | - Cheng Li
- Institute of EcoHealth, School of Public Health, Shandong University, Jinan, Shandong, People’s Republic of China
| | - Zhe-Tao Lin
- State Key Laboratory of Pathogen and Biosecurity, Beijing Institute of Microbiology and Epidemiology, Beijing, People’s Republic of China
| | - Ning Wang
- Institute of EcoHealth, School of Public Health, Shandong University, Jinan, Shandong, People’s Republic of China
| | - Wan-Ying Gao
- Institute of EcoHealth, School of Public Health, Shandong University, Jinan, Shandong, People’s Republic of China
| | - Run-Ze Ye
- Institute of EcoHealth, School of Public Health, Shandong University, Jinan, Shandong, People’s Republic of China
| | - Jin-Yue Liu
- Institute of EcoHealth, School of Public Health, Shandong University, Jinan, Shandong, People’s Republic of China
| | - Xiao-Yu Han
- State Key Laboratory of Pathogen and Biosecurity, Beijing Institute of Microbiology and Epidemiology, Beijing, People’s Republic of China
| | - Wen-Qiang Shi
- State Key Laboratory of Pathogen and Biosecurity, Beijing Institute of Microbiology and Epidemiology, Beijing, People’s Republic of China
| | - Xiao-Yu Shi
- State Key Laboratory of Pathogen and Biosecurity, Beijing Institute of Microbiology and Epidemiology, Beijing, People’s Republic of China
| | - Jia-Fu Jiang
- State Key Laboratory of Pathogen and Biosecurity, Beijing Institute of Microbiology and Epidemiology, Beijing, People’s Republic of China
| | - Na Jia
- State Key Laboratory of Pathogen and Biosecurity, Beijing Institute of Microbiology and Epidemiology, Beijing, People’s Republic of China
| | - Xiao-Ming Cui
- State Key Laboratory of Pathogen and Biosecurity, Beijing Institute of Microbiology and Epidemiology, Beijing, People’s Republic of China
| | - Lin Zhao
- Institute of EcoHealth, School of Public Health, Shandong University, Jinan, Shandong, People’s Republic of China
| | - Wu-Chun Cao
- Institute of EcoHealth, School of Public Health, Shandong University, Jinan, Shandong, People’s Republic of China
- State Key Laboratory of Pathogen and Biosecurity, Beijing Institute of Microbiology and Epidemiology, Beijing, People’s Republic of China
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