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Correlating Genotyping Data of Coxiella burnetii with Genomic Groups. Pathogens 2021; 10:pathogens10050604. [PMID: 34069306 PMCID: PMC8156542 DOI: 10.3390/pathogens10050604] [Citation(s) in RCA: 11] [Impact Index Per Article: 3.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/27/2021] [Revised: 05/11/2021] [Accepted: 05/12/2021] [Indexed: 11/17/2022] Open
Abstract
Coxiella burnetii is a zoonotic pathogen that resides in wild and domesticated animals across the globe and causes a febrile illness, Q fever, in humans. Several distinct genetic lineages or genomic groups have been shown to exist, with evidence for different virulence potential of these lineages. Multispacer Sequence Typing (MST) and Multiple-Locus Variable number tandem repeat Analysis (MLVA) are being used to genotype strains. However, it is unclear how these typing schemes correlate with each other or with the classification into different genomic groups. Here, we created extensive databases for published MLVA and MST genotypes of C. burnetii and analysed the associated metadata, revealing associations between animal host and human disease type. We established a new classification scheme that assigns both MST and MLVA genotypes to a genomic group and which revealed additional sub-lineages in two genomic groups. Finally, we report a novel, rapid genomotyping method for assigning an isolate into a genomic group based on the Cox51 spacer sequence. We conclude that by pooling and streamlining existing datasets, associations between genotype and clinical outcome or host source were identified, which in combination with our novel genomotyping method, should enable an estimation of the disease potential of new C. burnetii isolates.
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Rabaza A, Fraga M, Corbellini LG, Turner KME, Riet-Correa F, Eisler MC. Molecular prevalence of Coxiella burnetii in bulk-tank milk from bovine dairy herds: Systematic review and meta-analysis. One Health 2020; 12:100208. [PMID: 33553561 PMCID: PMC7846927 DOI: 10.1016/j.onehlt.2020.100208] [Citation(s) in RCA: 9] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/29/2020] [Revised: 12/21/2020] [Accepted: 12/21/2020] [Indexed: 02/06/2023] Open
Abstract
Coxiella burnetii is an obligate intracellular zoonotic bacterium that causes Q fever. Ruminants, including cattle, are broadly known to be reservoirs for this bacterium. Since 2006, many research groups have evaluated the herd-level prevalence of C. burnetii in cattle by molecular techniques on composite milk samples. This study explored the global C. burnetii herd-level prevalence from studies done on bovine bulk-tank milk (BTM) samples using PCR-based analysis. Also, moderators were investigated to identify sources of heterogeneity. Databases (CAB Abstracts, Medline via Ovid, PubMed, Web of Science and Google Scholar) were searched for index articles on C. burnetii prevalence in BTM samples by PCR published between January-1973 and November-2018. Numerous studies (1054) were initially identified, from which seventeen original publications were included in the meta-analysis based on the pre-defined selection criteria. These studies comprised 4031 BTM samples from twelve countries. A random-effects model was used because of considerable heterogeneity (I2 = 98%) to estimate the herd-level prevalence of C. burnetii as 37.0%(CI95%25.2–49.5%). The average herd size appeared to account for a high level of the heterogeneity. No other moderators (geographic location, gross national income or notification criteria for Q fever) seemed to be determinant. This systematic evaluation demonstrated a high molecular prevalence of C. burnetii in BTM samples both in European and non-European countries, evidencing a widespread herd-level circulation of this agent in bovine dairy farms around the world. Meta-regression showed herd size as the most relevant moderator with the odds of a BTM sample testing positive doubling with every unit increase. First meta-analysis of the PCR-based prevalence of C. burnetii in bovine milk Results showed a high molecular prevalence of C. burnetii in bulk-tank milk samples. C. burnetii is widely distributed in dairy farms in Europe and the wider world. Current results reinforce the need for further investigations on this zoonosis.
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Affiliation(s)
- Ana Rabaza
- Plataforma de Investigación en Salud Animal, Instituto Nacional de Investigación Agropecuaria (INIA), Estación Experimental La Estanzuela, Ruta 50 Km 11, Colonia, Uruguay.,Bristol Veterinary School, University of Bristol, Langford House, Langford, Bristol BS40 5DU, UK
| | - Martín Fraga
- Plataforma de Investigación en Salud Animal, Instituto Nacional de Investigación Agropecuaria (INIA), Estación Experimental La Estanzuela, Ruta 50 Km 11, Colonia, Uruguay
| | - Luis Gustavo Corbellini
- Plataforma de Investigación en Salud Animal, Instituto Nacional de Investigación Agropecuaria (INIA), Estación Experimental La Estanzuela, Ruta 50 Km 11, Colonia, Uruguay
| | - Katy M E Turner
- Bristol Veterinary School, University of Bristol, Langford House, Langford, Bristol BS40 5DU, UK
| | - Franklin Riet-Correa
- Plataforma de Investigación en Salud Animal, Instituto Nacional de Investigación Agropecuaria (INIA), Estación Experimental La Estanzuela, Ruta 50 Km 11, Colonia, Uruguay
| | - Mark C Eisler
- Bristol Veterinary School, University of Bristol, Langford House, Langford, Bristol BS40 5DU, UK
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Armson B, Di Nardo A, Nyaguthii DM, Sanz‐Bernardo B, Kitala PM, Chepkwony E, Mioulet V, King DP, Lyons NA. Utilizing milk from pooling facilities as a novel approach for foot-and-mouth disease surveillance. Transbound Emerg Dis 2020; 67:1532-1542. [PMID: 31961008 PMCID: PMC7384003 DOI: 10.1111/tbed.13487] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/17/2019] [Revised: 01/15/2020] [Accepted: 01/16/2020] [Indexed: 11/27/2022]
Abstract
This study investigated the potential of pooled milk as an alternative sample type for foot-and-mouth disease (FMD) surveillance. Real-time RT-PCR (rRT-PCR) results of pooled milk samples collected weekly from five pooling facilities in Nakuru County, Kenya, were compared with half-month reports of household-level incidence of FMD. These periodic cross-sectional surveys of smallholder farmers were powered to detect a threshold household-level FMD incidence of 2.5% and collected information on trends in milk production and sales. FMD virus (FMDV) RNA was detected in 9/219 milk samples, and using a type-specific rRT-PCR, serotype SAT 1 was identified in 3/9 of these positive samples, concurrent with confirmed outbreaks in the study area. Four milk samples were FMDV RNA-positive during the half-months when at least one farmer reported FMD; that is, the household-level clinical incidence was above a threshold of 2.5%. Additionally, some milk samples were FMDV RNA-positive when there were no reports of FMD by farmers. These results indicate that the pooled milk surveillance system can detect FMD household-level incidence at a 2.5% threshold when up to 26% of farmers contributed milk to pooling facilities, but perhaps even at lower levels of infection (i.e., below 2.5%), or when conventional disease reporting systems fail. Further studies are required to establish a more precise correlation with estimates of household-level clinical incidence, to fully evaluate the reliability of this approach. However, this pilot study highlights the potential use of this non-invasive, routinely collected, cost-effective surveillance tool, to address some of the existing limitations of traditional surveillance methods.
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Affiliation(s)
- Bryony Armson
- The Pirbright InstituteSurreyUK
- Boyd Orr Centre for Population and Ecosystem HealthInstitute of Biodiversity, Animal Health and Comparative MedicineCollege of Medical, Veterinary and Life SciencesUniversity of GlasgowGlasgowUK
| | | | - Dickson M. Nyaguthii
- Department of Public Health, Pharmacology and ToxicologyFaculty of Veterinary MedicineUniversity of NairobiNairobiKenya
| | | | - Philip M. Kitala
- Department of Public Health, Pharmacology and ToxicologyFaculty of Veterinary MedicineUniversity of NairobiNairobiKenya
| | - Eunice Chepkwony
- Foot‐and‐Mouth Disease LaboratoryState Department of LivestockEmbakasiNairobiKenya
| | | | | | - Nicholas A. Lyons
- The Pirbright InstituteSurreyUK
- European Commission for the Control of Foot‐and‐Mouth Disease (EuFMD)Animal Production and Health DivisionFood and Agriculture Organization of the United NationsRomeItaly
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4
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Ahmadi E. Potential public health risk due to consumption of contaminated bovine milk with aflatoxin M1 andCoxiella burnetiiin the West of Iran. INT J DAIRY TECHNOL 2020. [DOI: 10.1111/1471-0307.12687] [Citation(s) in RCA: 14] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/28/2022]
Affiliation(s)
- Elham Ahmadi
- Department of Pathobiology Sanandaj Branch, Islamic Azad University Sanandaj Iran
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5
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Cocking JH, Deberg M, Schupp J, Sahl J, Wiggins K, Porty A, Hornstra HM, Hepp C, Jardine C, Furstenau TN, Schulte-Hostedde A, Fofanov VY, Pearson T. Selective whole genome amplification and sequencing of Coxiella burnetii directly from environmental samples. Genomics 2019; 112:1872-1878. [PMID: 31678592 DOI: 10.1016/j.ygeno.2019.10.022] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/29/2019] [Revised: 10/05/2019] [Accepted: 10/09/2019] [Indexed: 10/25/2022]
Abstract
Whole genome sequencing (WGS) is a widely available, inexpensive means of providing a wealth of information about an organism's diversity and evolution. However, WGS for many pathogenic bacteria remain limited because they are difficult, slow and/or dangerous to culture. To avoid culturing, metagenomic sequencing can be performed directly on samples, but the sequencing effort required to characterize low frequency organisms can be expensive. Recently developed methods for selective whole genome amplification (SWGA) can enrich target DNA to provide efficient sequencing. We amplified Coxiella burnetii (a bacterial select agent and human/livestock pathogen) from 3 three environmental samples that were overwhelmed with host DNA. The 68- to 147-fold enrichment of the bacterial sequences provided enough genome coverage for SNP analyses and phylogenetic placement. SWGA is a valuable tool for the study of difficult-to-culture organisms and has the potential to facilitate high-throughput population characterizations as well as targeted epidemiological or forensic investigations.
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Affiliation(s)
- Jill Hager Cocking
- Pathogen and Microbiome Institute, Northern Arizona University, Flagstaff, AZ, United States of America; School of Informatics, Computing and Cyber Systems, Northern Arizona University, Flagstaff, AZ, United States of America.
| | - Michael Deberg
- School of Informatics, Computing and Cyber Systems, Northern Arizona University, Flagstaff, AZ, United States of America
| | - Jim Schupp
- Pathogen and Microbiome Division, TGen North, Flagstaff, AZ, United States of America.
| | - Jason Sahl
- Pathogen and Microbiome Institute, Northern Arizona University, Flagstaff, AZ, United States of America.
| | - Kristin Wiggins
- Pathogen and Microbiome Division, TGen North, Flagstaff, AZ, United States of America.
| | - Ariel Porty
- Department of Biology, Laurentian University, Sudbury, Ontario, Canada.
| | - Heidie M Hornstra
- Pathogen and Microbiome Institute, Northern Arizona University, Flagstaff, AZ, United States of America.
| | - Crystal Hepp
- Pathogen and Microbiome Institute, Northern Arizona University, Flagstaff, AZ, United States of America; School of Informatics, Computing and Cyber Systems, Northern Arizona University, Flagstaff, AZ, United States of America.
| | - Claire Jardine
- Department of Pathobiology, University of Guelph, Guelph, Ontario, Canada.
| | - Tara N Furstenau
- School of Informatics, Computing and Cyber Systems, Northern Arizona University, Flagstaff, AZ, United States of America.
| | | | - Viacheslav Y Fofanov
- Pathogen and Microbiome Institute, Northern Arizona University, Flagstaff, AZ, United States of America; School of Informatics, Computing and Cyber Systems, Northern Arizona University, Flagstaff, AZ, United States of America.
| | - Talima Pearson
- Pathogen and Microbiome Institute, Northern Arizona University, Flagstaff, AZ, United States of America.
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Salifu SP, Bukari ARA, Frangoulidis D, Wheelhouse N. Current perspectives on the transmission of Q fever: Highlighting the need for a systematic molecular approach for a neglected disease in Africa. Acta Trop 2019; 193:99-105. [PMID: 30831112 DOI: 10.1016/j.actatropica.2019.02.032] [Citation(s) in RCA: 18] [Impact Index Per Article: 3.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/23/2019] [Revised: 02/28/2019] [Accepted: 02/28/2019] [Indexed: 01/08/2023]
Abstract
Q fever is a bacterial worldwide zoonosis (except New Zealand) caused by the Gram-negative obligate intracellular bacterium Coxiella burnetii (C. burnetii). The bacterium has a large host range including arthropods, wildlife and companion animals and is frequently identified in human and livestock populations. In humans, the disease can occur as either a clinically acute or chronic aetiology, affecting mainly the lungs and liver in the acute disease, and heart valves when chronic. In livestock, Q fever is mainly asymptomatic; however, the infection can cause abortion, and the organism is shed in large quantities, where it can infect other livestock and humans. The presence of Q fever in Africa has been known for over 60 years, however while our knowledge of the transmission routes and risk of disease have been well established in many parts of the world, there is a significant paucity of knowledge across the African continent, where it remains a neglected zoonosis. Our limited knowledge of the disease across the African sub-continent have relied largely upon observational (sero) prevalence studies with limited focus on the molecular epidemiology of the disease. This review highlights the need for systematic studies to understand the routes of C. burnetii infection, and understand the disease burden and risk factors for clinical Q fever in both humans and livestock. With such knowledge gaps filled, the African continent could stand a better chance of eradicating Q fever through formulation and implementation of effective public health interventions.
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Szymańska-Czerwińska M, Jodełko A, Zaręba-Marchewka K, Niemczuk K. Shedding and genetic diversity of Coxiella burnetii in Polish dairy cattle. PLoS One 2019; 14:e0210244. [PMID: 30629637 PMCID: PMC6328121 DOI: 10.1371/journal.pone.0210244] [Citation(s) in RCA: 23] [Impact Index Per Article: 4.6] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/25/2018] [Accepted: 12/19/2018] [Indexed: 11/19/2022] Open
Abstract
Q fever is a worldwide zoonotic disease reported in humans and many animal species including cattle. The aims of this study were to evaluate the prevalence of Coxiella (C.) burnetii shedding in Polish dairy cattle herds and to identify the pathogen's genotypes and sequence types (STs) using multiple-locus variable number tandem repeat analysis (MLVA) and multispacer sequence typing (MST) methods. The presence of C. burnetii DNA was detected using a commercial real-time PCR kit, targeting the IS1111 element. Overall, 1,439 samples from 279 herds were tested including: 897 individual milk specimens, 101 bulk tank milk samples, 409 genital tract swabs and 32 placentas. Furthermore, 30 consumer milk samples, including 10 from vending machines and 77 dairy products were also analyzed. C. burnetii shedding was confirmed in 31.54% of tested cattle herds as well as in 69.16% of consumer milk and dairy products. Among real-time PCR-positive samples, 49 specimens obtained from 49 cattle herds and 8 samples of purchased dairy products were selected for genotyping. Overall, five previously known MLVA genotypes (I, J, BG, BE, and NM) and three new ones (proposed as PL1, PL2, and PL3) were identified. Two MST sequence types were recorded: ST16 and a novel sequence (ST61). The new genotypes and sequence types need further research particularly into their pathogenicity to humans.
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Affiliation(s)
- Monika Szymańska-Czerwińska
- Department of Cattle and Sheep Diseases, National Veterinary Research Institute, Puławy, Poland
- Laboratory of Serological Diagnosis, National Veterinary Research Institute, Puławy, Poland
| | - Agnieszka Jodełko
- Department of Cattle and Sheep Diseases, National Veterinary Research Institute, Puławy, Poland
| | - Kinga Zaręba-Marchewka
- Department of Cattle and Sheep Diseases, National Veterinary Research Institute, Puławy, Poland
| | - Krzysztof Niemczuk
- Department of Cattle and Sheep Diseases, National Veterinary Research Institute, Puławy, Poland
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Armson B, Mioulet V, Doel C, Madi M, Parida S, Lemire KA, Holder DJ, Das A, McIntosh MT, King DP. Detection of foot-and-mouth disease virus in milk samples by real-time reverse transcription polymerase chain reaction: Optimisation and evaluation of a high-throughput screening method with potential for disease surveillance. Vet Microbiol 2018; 223:189-194. [PMID: 30173746 PMCID: PMC6127443 DOI: 10.1016/j.vetmic.2018.07.024] [Citation(s) in RCA: 11] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/04/2018] [Revised: 07/27/2018] [Accepted: 07/27/2018] [Indexed: 11/15/2022]
Abstract
This study aimed to evaluate the utility of milk as a non-invasive sample type for the surveillance of foot-and-mouth disease (FMD), a highly contagious viral disease of cloven-hooved animals. Four milking Jersey cows were infected via direct-contact with two non-milking Jersey cows that had been previously inoculated with FMD virus (FMDV: isolate O/UKG/34/2001). Milk and blood were collected throughout the course of infection to compare two high-throughput real-time reverse transcription polymerase chain reaction (rRT-PCR) protocols with different RT-PCR chemistries. Using both methods, FMDV was detected in milk by rRT-PCR one to two days before the presentation of characteristic foot lesions, similar to detection by virus isolation. Furthermore, rRT-PCR detection from milk was extended, up to 28 days post contact (dpc), compared to detection by virus isolation (up to 14 dpc). Additionally, the detection of FMDV in milk by rRT-PCR was possible for 18 days longer than detection by the same method in serum samples. FMDV was also detected with both rRT-PCR methods in milk samples collected during the UK 2007 outbreak. Dilution studies were undertaken using milk from the field and experimentally-infected animals, where for one sample it was possible to detect FMDV at 10-7. Based on the peak CT values detected in this study, these findings indicate that it could be possible to identify one acutely-infected milking cow in a typical-sized dairy herd (100-1000 individuals) using milk from bulk tanks or milk tankers. These results motivate further studies using milk in FMD-endemic countries for FMD surveillance.
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Affiliation(s)
- Bryony Armson
- The Pirbright Institute, Ash Road, Pirbright, Surrey, GU24 0NF, UK; Institute of Biodiversity, Animal Health and Comparative Medicine, College of Medical, Veterinary & Life Sciences, Graham Kerr Building, University of Glasgow, G12 8QQ, UK.
| | - Valerie Mioulet
- The Pirbright Institute, Ash Road, Pirbright, Surrey, GU24 0NF, UK
| | - Claudia Doel
- The Pirbright Institute, Ash Road, Pirbright, Surrey, GU24 0NF, UK
| | - Mikidache Madi
- The Pirbright Institute, Ash Road, Pirbright, Surrey, GU24 0NF, UK
| | - Satya Parida
- The Pirbright Institute, Ash Road, Pirbright, Surrey, GU24 0NF, UK
| | - Karissa A Lemire
- Foreign Animal Disease Diagnostic Laboratory, National Veterinary Services Laboratories, Animal and Plant Health Inspection Services, US Department of Agriculture, Plum Island Animal Disease Center, Greenport, NY, 11944, USA
| | - Diane J Holder
- Foreign Animal Disease Diagnostic Laboratory, National Veterinary Services Laboratories, Animal and Plant Health Inspection Services, US Department of Agriculture, Plum Island Animal Disease Center, Greenport, NY, 11944, USA
| | - Amaresh Das
- Foreign Animal Disease Diagnostic Laboratory, National Veterinary Services Laboratories, Animal and Plant Health Inspection Services, US Department of Agriculture, Plum Island Animal Disease Center, Greenport, NY, 11944, USA
| | - Michael T McIntosh
- Foreign Animal Disease Diagnostic Laboratory, National Veterinary Services Laboratories, Animal and Plant Health Inspection Services, US Department of Agriculture, Plum Island Animal Disease Center, Greenport, NY, 11944, USA
| | - Donald P King
- The Pirbright Institute, Ash Road, Pirbright, Surrey, GU24 0NF, UK
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Alvarez J, Whitten T, Branscum AJ, Garcia-Seco T, Bender JB, Scheftel J, Perez A. Understanding Q Fever Risk to Humans in Minnesota Through the Analysis of Spatiotemporal Trends. Vector Borne Zoonotic Dis 2018; 18:89-95. [DOI: 10.1089/vbz.2017.2132] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/05/2023] Open
Affiliation(s)
- Julio Alvarez
- Department of Veterinary Population Medicine, College of Veterinary Medicine, University of Minnesota, St Paul, Minnesota
| | - Tory Whitten
- Minnesota Department of Health, St Paul, Minnesota
| | - Adam J. Branscum
- Biostatistics Program, Oregon State University, Corvallis, Oregon
| | | | - Jeff B. Bender
- Department of Veterinary Population Medicine, College of Veterinary Medicine, University of Minnesota, St Paul, Minnesota
| | | | - Andres Perez
- Department of Veterinary Population Medicine, College of Veterinary Medicine, University of Minnesota, St Paul, Minnesota
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Pexara A, Solomakos N, Govaris A. Q fever and prevalence of Coxiella burnetii in milk. Trends Food Sci Technol 2018. [DOI: 10.1016/j.tifs.2017.11.004] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/17/2023]
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11
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Bauer AE, Johnson AJ, Weng HY, Pogranichniy RM, Moore GE. An evaluation of risk factors for infection with Coxiella burnetii in domestic goats. Res Vet Sci 2017; 114:181-185. [PMID: 28463720 DOI: 10.1016/j.rvsc.2017.04.013] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.1] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/02/2016] [Revised: 02/14/2017] [Accepted: 04/21/2017] [Indexed: 11/17/2022]
Affiliation(s)
- Amy E Bauer
- Department of Comparative Pathobiology, Purdue University College of Veterinary Medicine, 725 Harrison St., West Lafayette, 47907-2027, IN, USA.
| | - April J Johnson
- Department of Comparative Pathobiology, Purdue University College of Veterinary Medicine, 725 Harrison St., West Lafayette, 47907-2027, IN, USA.
| | - Hsin-Yi Weng
- Department of Comparative Pathobiology, Purdue University College of Veterinary Medicine, 725 Harrison St., West Lafayette, 47907-2027, IN, USA.
| | - Roman M Pogranichniy
- Department of Comparative Pathobiology, Purdue University College of Veterinary Medicine, 725 Harrison St., West Lafayette, 47907-2027, IN, USA.
| | - George E Moore
- Department of Comparative Pathobiology, Purdue University College of Veterinary Medicine, 725 Harrison St., West Lafayette, 47907-2027, IN, USA.
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12
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Diseases Primarily Affecting the Reproductive System. Vet Med (Auckl) 2017. [PMCID: PMC7150237 DOI: 10.1016/b978-0-7020-5246-0.00018-8] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/28/2022]
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13
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Eldin C, Mélenotte C, Mediannikov O, Ghigo E, Million M, Edouard S, Mege JL, Maurin M, Raoult D. From Q Fever to Coxiella burnetii Infection: a Paradigm Change. Clin Microbiol Rev 2017; 30:115-190. [PMID: 27856520 PMCID: PMC5217791 DOI: 10.1128/cmr.00045-16] [Citation(s) in RCA: 558] [Impact Index Per Article: 79.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/11/2022] Open
Abstract
Coxiella burnetii is the agent of Q fever, or "query fever," a zoonosis first described in Australia in 1937. Since this first description, knowledge about this pathogen and its associated infections has increased dramatically. We review here all the progress made over the last 20 years on this topic. C. burnetii is classically a strict intracellular, Gram-negative bacterium. However, a major step in the characterization of this pathogen was achieved by the establishment of its axenic culture. C. burnetii infects a wide range of animals, from arthropods to humans. The genetic determinants of virulence are now better known, thanks to the achievement of determining the genome sequences of several strains of this species and comparative genomic analyses. Q fever can be found worldwide, but the epidemiological features of this disease vary according to the geographic area considered, including situations where it is endemic or hyperendemic, and the occurrence of large epidemic outbreaks. In recent years, a major breakthrough in the understanding of the natural history of human infection with C. burnetii was the breaking of the old dichotomy between "acute" and "chronic" Q fever. The clinical presentation of C. burnetii infection depends on both the virulence of the infecting C. burnetii strain and specific risks factors in the infected patient. Moreover, no persistent infection can exist without a focus of infection. This paradigm change should allow better diagnosis and management of primary infection and long-term complications in patients with C. burnetii infection.
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Affiliation(s)
- Carole Eldin
- URMITE, UMR CNRS 7278, IRD 198, INSERM U1095, Faculté de Médecine, Marseille, France
| | - Cléa Mélenotte
- URMITE, UMR CNRS 7278, IRD 198, INSERM U1095, Faculté de Médecine, Marseille, France
| | - Oleg Mediannikov
- URMITE, UMR CNRS 7278, IRD 198, INSERM U1095, Faculté de Médecine, Marseille, France
| | - Eric Ghigo
- URMITE, UMR CNRS 7278, IRD 198, INSERM U1095, Faculté de Médecine, Marseille, France
| | - Matthieu Million
- URMITE, UMR CNRS 7278, IRD 198, INSERM U1095, Faculté de Médecine, Marseille, France
| | - Sophie Edouard
- URMITE, UMR CNRS 7278, IRD 198, INSERM U1095, Faculté de Médecine, Marseille, France
| | - Jean-Louis Mege
- URMITE, UMR CNRS 7278, IRD 198, INSERM U1095, Faculté de Médecine, Marseille, France
| | - Max Maurin
- Institut de Biologie et de Pathologie, CHU de Grenoble, Grenoble, France
| | - Didier Raoult
- URMITE, UMR CNRS 7278, IRD 198, INSERM U1095, Faculté de Médecine, Marseille, France
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Galiero A, Fratini F, Cammà C, Di Domenico M, Curini V, Baronti I, Turchi B, Cerri D. Occurrence of Coxiella burnetii in goat and ewe unpasteurized cheeses: Screening and genotyping. Int J Food Microbiol 2016; 237:47-54. [DOI: 10.1016/j.ijfoodmicro.2016.08.008] [Citation(s) in RCA: 22] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/16/2016] [Revised: 06/30/2016] [Accepted: 08/08/2016] [Indexed: 11/28/2022]
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Olivas S, Hornstra H, Priestley RA, Kaufman E, Hepp C, Sonderegger DL, Handady K, Massung RF, Keim P, Kersh GJ, Pearson T. Massive dispersal of Coxiella burnetii among cattle across the United States. Microb Genom 2016; 2:e000068. [PMID: 28348863 PMCID: PMC5320587 DOI: 10.1099/mgen.0.000068] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.1] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/18/2016] [Accepted: 05/19/2016] [Indexed: 11/18/2022] Open
Abstract
Q-fever is an underreported disease caused by the bacterium Coxiella burnetii, which is highly infectious and has the ability to disperse great distances. It is a completely clonal pathogen with low genetic diversity and requires whole-genome analysis to identify discriminating features among closely related isolates. C. burnetii, and in particular one genotype (ST20), is commonly found in cow's milk across the entire dairy industry of the USA. This single genotype dominance is suggestive of host-specific adaptation, rapid dispersal and persistence within cattle. We used a comparative genomic approach to identify SNPs for high-resolution and high-throughput genotyping assays to better describe the dispersal of ST20 across the USA. We genotyped 507 ST20 cow milk samples and discovered three subgenotypes, all of which were present across the entire country and over the complete time period studied. Only one of these sub-genotypes was observed in a single dairy herd. The temporal and geographic distribution of these sub-genotypes is consistent with a model of large-scale, rapid, frequent and continuous dissemination on a continental scale. The distribution of subgenotypes is not consistent with wind-based dispersal alone, and it is likely that animal husbandry and transportation practices, including pooling of milk from multiple herds, have also shaped the patterns. On the scale of an entire country, there appear to be few barriers to rapid, frequent and large-scale dissemination of the ST20 subgenotypes.
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Affiliation(s)
- Sonora Olivas
- Center for Microbial Genetics and Genomics, Northern Arizona University, PO Box 4073, Flagstaff, AZ 86011, USA
| | - Heidie Hornstra
- Center for Microbial Genetics and Genomics, Northern Arizona University, PO Box 4073, Flagstaff, AZ 86011, USA
| | - Rachael A. Priestley
- Rickettsial Zoonoses Branch, Centers for Disease Control and Prevention, 1600 Clifton Rd, Atlanta, GA 30333, USA
| | - Emily Kaufman
- Center for Microbial Genetics and Genomics, Northern Arizona University, PO Box 4073, Flagstaff, AZ 86011, USA
| | - Crystal Hepp
- Center for Microbial Genetics and Genomics, Northern Arizona University, PO Box 4073, Flagstaff, AZ 86011, USA
- Informatics and Computing Program, Northern Arizona University, PO Box 5717, Flagstaff, AZ 86011, USA
| | - Derek L. Sonderegger
- Department of Mathematics and Statistics, Northern Arizona University, PO Box 5717, Flagstaff, AZ 86011, USA
| | - Karthik Handady
- Center for Microbial Genetics and Genomics, Northern Arizona University, PO Box 4073, Flagstaff, AZ 86011, USA
| | - Robert F. Massung
- Rickettsial Zoonoses Branch, Centers for Disease Control and Prevention, 1600 Clifton Rd, Atlanta, GA 30333, USA
| | - Paul Keim
- Center for Microbial Genetics and Genomics, Northern Arizona University, PO Box 4073, Flagstaff, AZ 86011, USA
- Pathogen Genomics Division, Translational Genomics Research Institute, Phoenix, Arizona, USA
| | - Gilbert J. Kersh
- Rickettsial Zoonoses Branch, Centers for Disease Control and Prevention, 1600 Clifton Rd, Atlanta, GA 30333, USA
| | - Talima Pearson
- Center for Microbial Genetics and Genomics, Northern Arizona University, PO Box 4073, Flagstaff, AZ 86011, USA
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16
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Pearson T, Cocking JH, Hornstra HM, Keim P. False detection of Coxiella burnetii-what is the risk? FEMS Microbiol Lett 2016; 363:fnw088. [PMID: 27190242 PMCID: PMC4853758 DOI: 10.1093/femsle/fnw088] [Citation(s) in RCA: 6] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 04/05/2016] [Indexed: 01/13/2023] Open
Affiliation(s)
- Talima Pearson
- Microbial Genetics and Genomics, Northern Arizona University, 1395 S. Knoles Dr. Bldg. 56, Flagstaff, AZ 86011, USA
| | - Jill H Cocking
- Microbial Genetics and Genomics, Northern Arizona University, 1395 S. Knoles Dr. Bldg. 56, Flagstaff, AZ 86011, USA
| | - Heidie M Hornstra
- Microbial Genetics and Genomics, Northern Arizona University, 1395 S. Knoles Dr. Bldg. 56, Flagstaff, AZ 86011, USA
| | - Paul Keim
- Microbial Genetics and Genomics, Northern Arizona University, 1395 S. Knoles Dr. Bldg. 56, Flagstaff, AZ 86011, USA
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17
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A cross sectional study evaluating the prevalence of Coxiella burnetii, potential risk factors for infection, and agreement between diagnostic methods in goats in Indiana. Prev Vet Med 2016; 126:131-7. [DOI: 10.1016/j.prevetmed.2016.01.026] [Citation(s) in RCA: 13] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/17/2015] [Revised: 01/27/2016] [Accepted: 01/28/2016] [Indexed: 11/23/2022]
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