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Wu H, Xue M, Wu C, Lu Q, Ding Z, Wang X, Fu T, Yang K, Lin J. Estimation of scrub typhus incidence and spatiotemporal multicomponent characteristics from 2016 to 2023 in Zhejiang Province, China. Front Public Health 2024; 12:1359318. [PMID: 39391156 PMCID: PMC11464294 DOI: 10.3389/fpubh.2024.1359318] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/21/2023] [Accepted: 09/17/2024] [Indexed: 10/12/2024] Open
Abstract
Background China is one of the main epidemic areas of scrub typhus, and Zhejiang Province, which is located in the coastal area of southeastern China, is considered a key region of scrub typhus. However, there may be significant bias in the number of reported cases of scrub typhus, to the extent that its epidemiological patterns are not clearly understood. The purpose of this study was to estimate the possible incidence of scrub typhus and to identify the main driving components affecting the occurrence of scrub typhus at the county level. Methods Data on patients with scrub typhus diagnosed at medical institutions between January 2016 and December 2023 were collected from the China Disease Control and Prevention Information System (CDCPIS). The kriging interpolation method was used to estimate the possible incidence of scrub typhus. Additionally, a multivariate time series model was applied to identify the main driving components affecting the occurrence of scrub typhus in different regions. Results From January 2016 to September 2023, 2,678 cases of scrub typhus were reported in Zhejiang Province, including 1 case of reported death, with an overall case fatality rate of 0.04%. The seasonal characteristics of scrub typhus in Zhejiang Province followed an annual single peak model, and the months of peak onset in different cities were different. The estimated area with case occurrence was relatively wider. There were 41 counties in Zhejiang Province with an annual reported case count of less than 1, while from the estimated annual incidence, the number of counties with less than 1 case decreased to 21. The average annual number of cases in most regions fluctuated between 0 and 15. The numbers of cases in the central urban area of Hangzhou city, Jiaxin city and Huzhou city did not exceed 5. The estimated random effect variance parameters σ λ 2 , σ ϕ 2 , and σ ν 2 were 0.48, 1.03 and 3.48, respectively. The endemic component values of the top 10 counties were Shuichang, Cangnan, Chun'an, Xinchang, Pingyang, Xianju, Longquan, Dongyang, Yueqing and Qingyuan. The spatiotemporal component values of the top 10 counties were Pujiang, Anji, Pan'an, Dongyang, Jinyun, Ninghai, Yongjia, Xiaoshan, Yinwu and Shengzhou. The autoregressive component values of the top 10 counties were Lin'an, Cangnan, Chun'an, Yiwu, Pujiang, Longquan, Xinchang, Luqiao, Sanmen and Fuyang. Conclusion The estimated incidence was higher than the current reported number of cases, and the possible impact area of the epidemic was also wider than the areas with reported cases. The main driving factors of the scrub typhus epidemic in Zhejiang included endemic components such as natural factors, but there was significant heterogeneity in the composition of driving factors in different regions. Some regions were driven by spatiotemporal spread across regions, and the time autoregressive effect in individual regions could not be ignored. These results that monitoring of cases, vectors, and pathogens of scrub typhus should be strengthened. Furthermore, each region should take targeted prevention and control measures based on the main driving factors of the local epidemic to improve the accuracy of prevention and control.
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Affiliation(s)
- Haocheng Wu
- Zhejiang Provincial Center for Disease Control and Prevention, Hangzhou, Zhejiang, China
- Zhejiang Key Lab of Vaccine, Infectious Disease Prevention and Control, Hangzhou, Zhejiang, China
| | - Ming Xue
- Hangzhou Centre for Disease Control and Prevention, Hangzhou, Zhejiang, China
| | - Chen Wu
- Zhejiang Provincial Center for Disease Control and Prevention, Hangzhou, Zhejiang, China
| | - Qinbao Lu
- Zhejiang Provincial Center for Disease Control and Prevention, Hangzhou, Zhejiang, China
| | - Zheyuan Ding
- Zhejiang Provincial Center for Disease Control and Prevention, Hangzhou, Zhejiang, China
| | - Xinyi Wang
- Zhejiang Provincial Center for Disease Control and Prevention, Hangzhou, Zhejiang, China
| | - Tianyin Fu
- Zhejiang Provincial Center for Disease Control and Prevention, Hangzhou, Zhejiang, China
| | - Ke Yang
- Zhejiang Provincial Center for Disease Control and Prevention, Hangzhou, Zhejiang, China
| | - Junfen Lin
- Zhejiang Provincial Center for Disease Control and Prevention, Hangzhou, Zhejiang, China
- Zhejiang Key Lab of Vaccine, Infectious Disease Prevention and Control, Hangzhou, Zhejiang, China
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Yan S, Lu Q, Tao Q, Lu Y, Gao B, Wang S, Cai X, Ai L, Xiong X, Cao M, Tan W. An immunochromatographic test for serological diagnosis of scrub typhus. J Immunol Methods 2024; 528:113653. [PMID: 38430991 DOI: 10.1016/j.jim.2024.113653] [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: 09/03/2023] [Revised: 01/24/2024] [Accepted: 02/27/2024] [Indexed: 03/05/2024]
Abstract
A fluorescent immunochromatographic test (FM-ICT) was developed for rapid detection of anti-Orientia tsutsugamushi antibodies in serum samples. The FM-ICT was constructed based on the dual-antigen sandwich method. Truncated 56 kDa outer membrane protein of O. tsutsugamushi strain SJ, was expressed in E. coli and mixed with those of Ptan and Gillam strains. A thin line of the protein mixture was precisely sprayed across a nitrocellulose membrane making this the "Test" line. Polyclonal antibodies (pAbs) to O.tsutsugamushi were sprayed in another line across the membrane making this the "Control" line. Fluorescent microspheres conjugated 56 kDa proteins reacting with sample serum will be captured on the "Test" line if the sample contains antibodies to O.tsutsugamushi. Several experimental parameters were optimized. After optimizing the reaction procedure, the results are visible, within 6 min, with the naked eye under ultraviolet light. The limit of detection (LOD) was determined to be 7.63 ng/mL with prepared polyclonal antibodies. No cross-reaction was observed with sera samples from other febrile diseases. In clinical evaluations, the strips showed 94.92% sensitivity (106/112) and 93.75% specificity (56/60). The FM-ICT we developed will provide a new tool for on-site diagnosis of scrub typhus.
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Affiliation(s)
- Shuhao Yan
- College Food Science and Light Industry, Nanjing Tech University, Nanjing 211816, Jiangsu, PR China
| | - Qingyu Lu
- College Food Science and Light Industry, Nanjing Tech University, Nanjing 211816, Jiangsu, PR China
| | - Qingyuan Tao
- College Food Science and Light Industry, Nanjing Tech University, Nanjing 211816, Jiangsu, PR China
| | - Yawei Lu
- College Food Science and Light Industry, Nanjing Tech University, Nanjing 211816, Jiangsu, PR China
| | - Bao Gao
- College Food Science and Light Industry, Nanjing Tech University, Nanjing 211816, Jiangsu, PR China
| | - Sibo Wang
- College Food Science and Light Industry, Nanjing Tech University, Nanjing 211816, Jiangsu, PR China
| | - Xusheng Cai
- College Food Science and Light Industry, Nanjing Tech University, Nanjing 211816, Jiangsu, PR China
| | - Lele Ai
- Nanjing Bioengineering (Gene) Technology Center for Medicine, Nanjing 210002, PR China
| | - Xiaohui Xiong
- College Food Science and Light Industry, Nanjing Tech University, Nanjing 211816, Jiangsu, PR China
| | - Min Cao
- College Food Science and Light Industry, Nanjing Tech University, Nanjing 211816, Jiangsu, PR China.
| | - Weilong Tan
- Nanjing Bioengineering (Gene) Technology Center for Medicine, Nanjing 210002, PR China.
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Tian JW, Kong YC, Han PY, Xu FH, Yang WH, Zhang YZ. Molecular epidemiological study of Scrub Typhus in residence, farm and forest habitats from Yunnan Province, China. PLoS One 2024; 19:e0301841. [PMID: 38626103 PMCID: PMC11020965 DOI: 10.1371/journal.pone.0301841] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/03/2023] [Accepted: 03/23/2024] [Indexed: 04/18/2024] Open
Abstract
The number of people suffering from scrub typhus, which is not of concern, is increasing year by year, especially in Yunnan Province, China. From June 1, 2021 to August 15, 2022, a total of 505 mammalian samples were collected from farm, forest, and residential habitats with high incidence of scrub typhus in Yunnan, China, for nPCR (nested PCR) and qPCR (quantitative real-time PCR) detection of Orientia tsutsugamushi. A total of 4 orders of murine-like animals, Rodentia (87.52%, n = 442), Insectivora (10.29%, n = 52), Lagomorpha (1.79%, n = 9) and Scandentia (0.40%, n = 2) were trapped. Comparing the qPCR infection rates in the three habitats, it was no significant difference that the infection rate of residential habitat (44.44%) and that of the farm habitat (45.05%, P>0.05), which is much larger than that of the forest habitat (3.08%) (P<0.001). Three genotypes (Karp-like, Kato-like and TA763-like) of O. tsutsugamushi were found from Yunnan, China in this study.
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Affiliation(s)
- Jia-Wei Tian
- Yunnan Key Laboratory of Screening and Research on Anti-pathogenic Plant Resources from Western Yunnan, Yunnan Key Laboratory of Zoonotic Disease Cross-border Prevention and Quarantine, Institute of Preventive Medicine, School of Public Health, Dali University, Dali, Yunnan, China
| | - Yi-Chen Kong
- Yunnan Key Laboratory of Screening and Research on Anti-pathogenic Plant Resources from Western Yunnan, Yunnan Key Laboratory of Zoonotic Disease Cross-border Prevention and Quarantine, Institute of Preventive Medicine, School of Public Health, Dali University, Dali, Yunnan, China
| | - Pei-Yu Han
- Yunnan Key Laboratory of Screening and Research on Anti-pathogenic Plant Resources from Western Yunnan, Yunnan Key Laboratory of Zoonotic Disease Cross-border Prevention and Quarantine, Institute of Preventive Medicine, School of Public Health, Dali University, Dali, Yunnan, China
| | - Fen-Hui Xu
- Yunnan Key Laboratory of Screening and Research on Anti-pathogenic Plant Resources from Western Yunnan, Yunnan Key Laboratory of Zoonotic Disease Cross-border Prevention and Quarantine, Institute of Preventive Medicine, School of Public Health, Dali University, Dali, Yunnan, China
| | - Wei-Hong Yang
- Yunnan Institute of Endemic Diseases Control and Prevention, Dali, Yunnan, China
| | - Yun-Zhi Zhang
- Yunnan Key Laboratory of Screening and Research on Anti-pathogenic Plant Resources from Western Yunnan, Yunnan Key Laboratory of Zoonotic Disease Cross-border Prevention and Quarantine, Institute of Preventive Medicine, School of Public Health, Dali University, Dali, Yunnan, China
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Guo Y, Zhou JX, Guo XG, Song WY, Zhao CF, Zhang ZW, Fan R, Chen T, Lv Y, Yin PW, Jin DC. Species diversity and related ecology of chiggers on small mammals in a unique geographical area of Yunnan Province, southwest China. EXPERIMENTAL & APPLIED ACAROLOGY 2023; 91:439-461. [PMID: 37870736 DOI: 10.1007/s10493-023-00841-z] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 03/09/2023] [Accepted: 09/16/2023] [Indexed: 10/24/2023]
Abstract
Chiggers are common ectoparasites and the exclusive vector of scrub typhus. Based on previous investigations from a unique geographical area in Yunnan Province of southwest China, the Three Parallel Rivers Area, we retrospectively studied the species diversity and related ecology of chiggers on rodents and other small mammals. A very high species diversity of 120 chigger species was identified. Five dominant chigger species accounted for 59.4% (5238/8965) of total chiggers, and among them Leptotrombidium scutellare is the second major vector of scrub typhus in China. Species diversity of the chigger community fluctuates greatly in different altitudinal and latitudinal gradients. There are significant differences in species composition, species diversity and dominant species of chiggers among hosts with apparent community heterogeneity. Based on the species abundance distribution, the expected total number of chigger species was estimated to be 170, 50 more than the number of actually collected species; this further indicates a very high chigger species diversity in this area. The bipartite ecological network analysis revealed the intricate relationships between chigger and host species-positive and negative correlations existed among some species of dominant and vector chiggers.
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Affiliation(s)
- Yu Guo
- Institute of Pathogens and Vectors, Yunnan Provincial Key Laboratory for Zoonosis Control and Prevention, Dali University, Dali, 671000, Yunnan, China
| | - Juan-Xiu Zhou
- Institute of Pathogens and Vectors, Yunnan Provincial Key Laboratory for Zoonosis Control and Prevention, Dali University, Dali, 671000, Yunnan, China
| | - Xian-Guo Guo
- Institute of Pathogens and Vectors, Yunnan Provincial Key Laboratory for Zoonosis Control and Prevention, Dali University, Dali, 671000, Yunnan, China.
| | - Wen-Yu Song
- Institute of Pathogens and Vectors, Yunnan Provincial Key Laboratory for Zoonosis Control and Prevention, Dali University, Dali, 671000, Yunnan, China
| | - Cheng-Fu Zhao
- Institute of Pathogens and Vectors, Yunnan Provincial Key Laboratory for Zoonosis Control and Prevention, Dali University, Dali, 671000, Yunnan, China
| | - Zhi-Wei Zhang
- Institute of Pathogens and Vectors, Yunnan Provincial Key Laboratory for Zoonosis Control and Prevention, Dali University, Dali, 671000, Yunnan, China
| | - Rong Fan
- Institute of Pathogens and Vectors, Yunnan Provincial Key Laboratory for Zoonosis Control and Prevention, Dali University, Dali, 671000, Yunnan, China
| | - Ting Chen
- Institute of Pathogens and Vectors, Yunnan Provincial Key Laboratory for Zoonosis Control and Prevention, Dali University, Dali, 671000, Yunnan, China
| | - Yan Lv
- Institute of Pathogens and Vectors, Yunnan Provincial Key Laboratory for Zoonosis Control and Prevention, Dali University, Dali, 671000, Yunnan, China
| | - Peng-Wu Yin
- Institute of Pathogens and Vectors, Yunnan Provincial Key Laboratory for Zoonosis Control and Prevention, Dali University, Dali, 671000, Yunnan, China
- Institute of Entomology, Guizhou University, Guiyang, 550025, Guizhou, China
| | - Dao-Chao Jin
- Institute of Entomology, Guizhou University, Guiyang, 550025, Guizhou, China
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Huang J, Deng K, Chen J, Zhang M. Epidemiological and clinical characteristics of scrub typhus in northern Fujian, China, from 2015 to 2019. BMC Infect Dis 2023; 23:479. [PMID: 37464324 PMCID: PMC10354924 DOI: 10.1186/s12879-023-08451-1] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/10/2023] [Accepted: 07/11/2023] [Indexed: 07/20/2023] Open
Abstract
BACKGROUND This study aimed to analyze the epidemiological and clinical characteristics of scrub typhus in northern Fujian Province on the southeast coast of China. METHODS A retrospective analysis was performed on 303 patients with scrub typhus admitted to the First Hospital of Nanping City, Fujian Province, from January 2015 to December 2019. The epidemic characteristics were analyzed, such as the annual number of cases, age distribution, sex distribution, and seasonal distribution in each region. The patient's clinical manifestations, signs, complications, auxiliary examinations, and prognosis were analyzed. RESULTS From 2015 to 2019, the age distribution of scrub typhus cases was mainly concentrated in 40-49 y (17.16%), 50-59 y (24.09%), and 60-69 y (26.73%). There were no sex differences among the patients. 68.98% of the cases were concentrated in rural areas, with farmers having the highest proportion. However, this study compared prognostic factors in the cured and uncured groups, and found significant differences in non-farmer occupation and diagnosis time ≥ 8 days. Scrub typhus showed two peaks north of Fujian; the prominent peak was from June to July, and the other slight rise was from October to November. The SDE plot showed that the cases were mainly concentrated in Yanping, Shunchang, Zhenghe, and Songxi counties. The number of cases in hilly and mountainous areas was higher than in plain areas. The main diagnostic methods in this area are based on specific eschar and epidemiology, while the positive rate of the Weil-Felix test is low. CONCLUSIONS The results of this study can guide primary care institutions to improve the level of diagnosis and treatment of scrub typhus and take effective public health intervention measures in endemic areas.
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Affiliation(s)
- Jin Huang
- Department of Infectious Diseases, The Second Affiliated Hospital of Fujian University of Traditional Chinese Medicine, Wusi Road, Fuzhou, China.
| | - Kaixiang Deng
- Department of Traditional Chinese Medicine, First Hospital of Nanping City, Nanping, China
| | - Jiawei Chen
- Department of Infectious Diseases, The Second Affiliated Hospital of Fujian University of Traditional Chinese Medicine, Wusi Road, Fuzhou, China
| | - Meiquan Zhang
- Department of Pulmonary and Critical Care Medicine, Fujian Provincial Geriatric Hospital, Fuzhou, China
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Li X, Wei X, Yin W, Soares Magalhaes RJ, Xu Y, Wen L, Peng H, Qian Q, Sun H, Zhang W. Using ecological niche modeling to predict the potential distribution of scrub typhus in Fujian Province, China. Parasit Vectors 2023; 16:44. [PMID: 36721181 PMCID: PMC9887782 DOI: 10.1186/s13071-023-05668-6] [Citation(s) in RCA: 5] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/20/2022] [Accepted: 01/13/2023] [Indexed: 02/02/2023] Open
Abstract
BACKGROUND Despite the increasing number of cases of scrub typhus and its expanding geographical distribution in China, its potential distribution in Fujian Province, which is endemic for the disease, has yet to be investigated. METHODS A negative binomial regression model for panel data mainly comprising meteorological, socioeconomic and land cover variables was used to determine the risk factors for the occurrence of scrub typhus. Maximum entropy modeling was used to identify the key predictive variables of scrub typhus and their ranges, map the suitability of different environments for the disease, and estimate the proportion of the population at different levels of infection risk. RESULTS The final multivariate negative binomial regression model for panel data showed that the annual mean normalized difference vegetation index had the strongest correlation with the number of scrub typhus cases. With each 0.1% rise in shrubland and 1% rise in barren land there was a 75.0% and 37.0% increase in monthly scrub typhus cases, respectively. In contrast, each unit rise in mean wind speed in the previous 2 months and each 1% increase in water bodies corresponded to a decrease of 40.0% and 4.0% in monthly scrub typhus cases, respectively. The predictions of the maximum entropy model were robust, and the average area under the curve value was as high as 0.864. The best predictive variables for scrub typhus occurrence were population density, annual mean normalized difference vegetation index, and land cover types. The projected potentially most suitable areas for scrub typhus were widely distributed across the eastern coastal area of Fujian Province, with highly suitable and moderately suitable areas accounting for 16.14% and 9.42%, respectively. Of the total human population of the province, 81.63% reside in highly suitable areas for scrub typhus. CONCLUSIONS These findings could help deepen our understanding of the risk factors of scrub typhus, and provide information for public health authorities in Fujian Province to develop more effective surveillance and control strategies in identified high risk areas in Fujian Province.
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Affiliation(s)
- Xuan Li
- grid.186775.a0000 0000 9490 772XDepartment of Epidemiology and Biostatistics, School of Public Health, Anhui Medical University, Hefei, China ,grid.488137.10000 0001 2267 2324Chinese PLA Center for Disease Control and Prevention, Beijing, China
| | - Xianyu Wei
- grid.186775.a0000 0000 9490 772XDepartment of Epidemiology and Biostatistics, School of Public Health, Anhui Medical University, Hefei, China ,grid.488137.10000 0001 2267 2324Chinese PLA Center for Disease Control and Prevention, Beijing, China
| | - Wenwu Yin
- grid.198530.60000 0000 8803 2373Chinese Center for Disease Control and Prevention, Beijing, China
| | - Ricardo J. Soares Magalhaes
- grid.1003.20000 0000 9320 7537Spatial Epidemiology Laboratory, School of Veterinary Science, The University of Queensland, Brisbane, Australia ,grid.1003.20000 0000 9320 7537Child Health Research Center, The University of Queensland, Brisbane, Australia
| | - Yuanyong Xu
- grid.488137.10000 0001 2267 2324Chinese PLA Center for Disease Control and Prevention, Beijing, China
| | - Liang Wen
- grid.488137.10000 0001 2267 2324Chinese PLA Center for Disease Control and Prevention, Beijing, China
| | - Hong Peng
- grid.488137.10000 0001 2267 2324Chinese PLA Center for Disease Control and Prevention, Beijing, China
| | - Quan Qian
- grid.488137.10000 0001 2267 2324Chinese PLA Center for Disease Control and Prevention, Beijing, China
| | - Hailong Sun
- grid.186775.a0000 0000 9490 772XDepartment of Epidemiology and Biostatistics, School of Public Health, Anhui Medical University, Hefei, China ,grid.488137.10000 0001 2267 2324Chinese PLA Center for Disease Control and Prevention, Beijing, China
| | - Wenyi Zhang
- grid.186775.a0000 0000 9490 772XDepartment of Epidemiology and Biostatistics, School of Public Health, Anhui Medical University, Hefei, China ,grid.488137.10000 0001 2267 2324Chinese PLA Center for Disease Control and Prevention, Beijing, China
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Rao RSP, Ghate SD, Shastry RP, Kurthkoti K, Suravajhala P, Patil P, Shetty P. Prevalence and heterogeneity of antibiotic resistance genes in Orientia tsutsugamushi and other rickettsial genomes. Microb Pathog 2023; 174:105953. [PMID: 36529286 DOI: 10.1016/j.micpath.2022.105953] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/22/2022] [Revised: 12/13/2022] [Accepted: 12/14/2022] [Indexed: 12/16/2022]
Abstract
Despite a million infections every year and an estimated one billion people at risk, scrub typhus is regarded as a neglected tropical disease. The causative bacterium Orientia tsutsugamushi, a member of rickettsiae, seems to be intrinsically resistant to several classes of antibiotics. The emergence of antibiotic-resistant scrub typhus is likely to become a global public health concern. Yet, it is unknown as to how common antibiotic resistance genes are in O. tsutsugamushi, and how variable these loci are among the genomes of rickettsiae. By using the comprehensive antibiotic resistance database, we explored 79 complete genomes from 24 species of rickettsiae for antibiotic resistance loci. There were 244 unique antibiotic resistance genes in rickettsiae. Both the total and unique antibiotic resistance genes in O. tsutsugamushi were significantly less compared to other members of rickettsiae. However, antibiotic resistance genes in O. tsutsugamushi genomes were more unique and highly variable. Many genes such as resistant variants of evgS, and vanS A/G were present in numerous copies. These results will have important implications in the context of antibiotic-resistant scrub typhus.
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Affiliation(s)
- R Shyama Prasad Rao
- Center for Bioinformatics, NITTE deemed to be University, Mangaluru, 575018, India.
| | - Sudeep D Ghate
- Center for Bioinformatics, NITTE deemed to be University, Mangaluru, 575018, India
| | - Rajesh P Shastry
- Division of Microbiology and Biotechnology, Yenepoya Research Center, Yenepoya deemed to be University, Mangaluru, 575018, India
| | - Krishna Kurthkoti
- Mycobacterium Research Laboratory, Rajiv Gandhi Centre for Biotechnology, Thiruvananthapuram, 695014, India
| | - Prashanth Suravajhala
- Amrita School of Biotechnology, Amrita Vishwa Vidyapeetham, Clappana PO, 690525, Kerala, India
| | - Prakash Patil
- Central Research Laboratory, KS Hegde Medical Academy (KSHEMA), NITTE deemed to be University, Mangaluru, 575018, India
| | - Praveenkumar Shetty
- Central Research Laboratory, KS Hegde Medical Academy (KSHEMA), NITTE deemed to be University, Mangaluru, 575018, India; Department of Biochemistry, KS Hegde Medical Academy (KSHEMA), NITTE deemed to be University, Mangaluru, 575018, India
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