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Boujemaa S, Suri GS, Kaur G. Multi-locus sequence typing of geographically and temporally diverse strains of Mycoplasma hominis. Diagn Microbiol Infect Dis 2024; 108:116207. [PMID: 38310740 DOI: 10.1016/j.diagmicrobio.2024.116207] [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: 12/15/2023] [Revised: 01/29/2024] [Accepted: 01/30/2024] [Indexed: 02/06/2024]
Abstract
This study aimed to investigate the genetic diversity of 108 geographically and temporally diverse strains of Mycoplasma hominis using a multi-locus sequence typing scheme (MLST). We extracted MLST data of 87 strains from PubMLST database and retrieved MLST gene sequences from 21 complete genomes of M. hominis available in GenBank database. MLST scheme identified 65 Sequence types (STs), which were grouped into five clonal complexes (CC) and 47 singletons. Phylogenetic analysis revealed that the majority of M. hominis isolates were clustered according to their country of origin, showing some significant specificity trends for the nation. Although recombination was detected, it was not significant enough to alter the clonal population structure of M. hominis. In sum, MLST scheme provides insightful data on the phylogenetics of international strains of M. hominis, arguing for the existence of genetically differentiable STs according to their origin of isolation.
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Affiliation(s)
- Safa Boujemaa
- Biologica Training and Consulting, Tunis, 2078, Tunisia.
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2
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Buni D, Kovács ÁB, Földi D, Bányai K, Bali K, Domán M, Wehmann E, Bradbury J, Bottinelli M, Catania S, Stefani E, Lysnyansky I, Kovács L, Grózner D, Gyuranecz M, Kreizinger Z. Development of molecular assays for the analysis of genetic relationships of Mycoplasma iowae. Vet Microbiol 2023; 287:109909. [PMID: 37925876 DOI: 10.1016/j.vetmic.2023.109909] [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: 08/14/2023] [Revised: 10/27/2023] [Accepted: 10/30/2023] [Indexed: 11/07/2023]
Abstract
Mycoplasma iowae is a worldwide spread and economically important avian pathogen that mostly infects turkeys. Currently, multi-locus sequence typing (MLST) serves as the gold standard method for strain identification in M. iowae. However, additional robust genotyping methods are required to effectively monitor M. iowae infections and conduct epidemiological investigations. The first aim of this study was to develop genotyping assays with high resolution, that specifically target M. iowae, namely a multiple-locus variable number of tandem-repeats analysis (MLVA) and a core genome multi-locus sequence typing (cgMLST) schema. The second aim was the determination of relationships among a diverse selection of M. iowae strains and clinical isolates with a previous and the newly developed assays. The MLVA was designed based on the analyses of tandem-repeat (TR) regions in the six serotype reference strains (I, J, K, N, Q and R). The cgMLST schema was developed based on the coding sequences (CDSs) common in 95% of the examined 99 isolates. The samples were submitted for a previously published MLST assay for comparison with the developed methods. Out of 94 TR regions identified, 17 alleles were selected for further evaluation by PCR. Finally, seven alleles were chosen to establish the MLVA assay. Additionally, whole genome sequence analyses identified a total of 676 CDSs shared by 95% of the isolates, all of which were included into the developed cgMLST schema. The MLVA discriminated 19 distinct genotypes (GT), while with the cgMLST assay 79 sequence types (ST) could be determined with Simpson's diversity indices of 0.810 (MLVA) and 0.989 (cgMLST). The applied assays consistently identified the same main clusters among the diverse selection of isolates, thereby demonstrating their suitability for various genetic analyses and their ability to yield congruent results.
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Affiliation(s)
- Dominika Buni
- Veterinary Medical Research Institute, Hungarian Research Network, Hungária körút 21, Budapest 1143, Hungary
| | - Áron Botond Kovács
- Veterinary Medical Research Institute, Hungarian Research Network, Hungária körút 21, Budapest 1143, Hungary; National Laboratory of Infectious Animal Diseases, Antimicrobial Resistance, Veterinary Public Health and Food Chain Safety, Budapest, Hungary
| | - Dorottya Földi
- Veterinary Medical Research Institute, Hungarian Research Network, Hungária körút 21, Budapest 1143, Hungary; National Laboratory of Infectious Animal Diseases, Antimicrobial Resistance, Veterinary Public Health and Food Chain Safety, Budapest, Hungary
| | - Krisztián Bányai
- Veterinary Medical Research Institute, Hungarian Research Network, Hungária körút 21, Budapest 1143, Hungary; National Laboratory of Infectious Animal Diseases, Antimicrobial Resistance, Veterinary Public Health and Food Chain Safety, Budapest, Hungary; University of Veterinary Medicine Budapest, István utca 2., Budapest 1078, Hungary
| | - Krisztina Bali
- Veterinary Medical Research Institute, Hungarian Research Network, Hungária körút 21, Budapest 1143, Hungary; National Laboratory of Infectious Animal Diseases, Antimicrobial Resistance, Veterinary Public Health and Food Chain Safety, Budapest, Hungary
| | - Marianna Domán
- Veterinary Medical Research Institute, Hungarian Research Network, Hungária körút 21, Budapest 1143, Hungary; National Laboratory of Infectious Animal Diseases, Antimicrobial Resistance, Veterinary Public Health and Food Chain Safety, Budapest, Hungary
| | - Enikő Wehmann
- Veterinary Medical Research Institute, Hungarian Research Network, Hungária körút 21, Budapest 1143, Hungary; National Laboratory of Infectious Animal Diseases, Antimicrobial Resistance, Veterinary Public Health and Food Chain Safety, Budapest, Hungary
| | - Janet Bradbury
- Institute of Infection, Veterinary and Ecological Sciences, University of Liverpool, Neston, Wirral CH64 7TE, United Kingdom
| | - Marco Bottinelli
- Mycoplasma Unit, WOAH Reference Laboratory for Avian Mycoplasmosis, SCT-1, Istituto Zooprofilattico Sperimentale delle Venezie, Via Bovolino 1/C, Buttapietra, Verona 37060, Italy
| | - Salvatore Catania
- Mycoplasma Unit, WOAH Reference Laboratory for Avian Mycoplasmosis, SCT-1, Istituto Zooprofilattico Sperimentale delle Venezie, Via Bovolino 1/C, Buttapietra, Verona 37060, Italy
| | - Elisabetta Stefani
- Mycoplasma Unit, WOAH Reference Laboratory for Avian Mycoplasmosis, SCT-1, Istituto Zooprofilattico Sperimentale delle Venezie, Via Bovolino 1/C, Buttapietra, Verona 37060, Italy
| | - Inna Lysnyansky
- Department of Avian Diseases, Kimron Veterinary Institute, Beit Dagan, Israel
| | - László Kovács
- University of Veterinary Medicine Budapest, István utca 2., Budapest 1078, Hungary; Poultry-Care Kft., Lehel út 21., Újszász 5052, Hungary
| | - Dénes Grózner
- Veterinary Medical Research Institute, Hungarian Research Network, Hungária körút 21, Budapest 1143, Hungary
| | - Miklós Gyuranecz
- Veterinary Medical Research Institute, Hungarian Research Network, Hungária körút 21, Budapest 1143, Hungary; National Laboratory of Infectious Animal Diseases, Antimicrobial Resistance, Veterinary Public Health and Food Chain Safety, Budapest, Hungary; University of Veterinary Medicine Budapest, István utca 2., Budapest 1078, Hungary; MolliScience Kft., Március 15. utca 1, Biatorbágy 2051, Hungary
| | - Zsuzsa Kreizinger
- Veterinary Medical Research Institute, Hungarian Research Network, Hungária körút 21, Budapest 1143, Hungary; MolliScience Kft., Március 15. utca 1, Biatorbágy 2051, Hungary.
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Wei X, Zhong Q, Wang D, Yan Z, Liang H, Zhou Q, Chen F. Epidemiological investigations and multilocus sequence typing of Mycoplasma gallisepticum collected in China. Poult Sci 2023; 102:102930. [PMID: 37716233 PMCID: PMC10507435 DOI: 10.1016/j.psj.2023.102930] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/24/2023] [Revised: 07/04/2023] [Accepted: 07/06/2023] [Indexed: 09/18/2023] Open
Abstract
Mycoplasma gallisepticum (MG) is one of the important pathogens in poultry industry and has led to major economic losses. Understanding the epidemiology is crucial to improve the control and eradication program of MG. This study collected 1,250 chicken samples, including trachea and lung, from China in 2022 to investigate the epidemiology of MG. Among the collected samples, 938 samples were positive for MG infection, resulting in an average positive rate of 75.04%. Additionally, 570 samples were positive for both MG and Mycoplasma synoviae (MS) coinfection, with an average positive rate of 45.60%. A total of 183 MG infection positive samples in this study were selected for genotyping, and the multilocus sequence typing (MLST) method based on 7 housekeeping genes was used. As a result, 183 samples belonged to 11 sequence types (STs), with ST-78 being the most prevalent. After BURST analysis, all 183 sequences were divided into group 3. Besides, 119 reference sequences from database and 183 sequences of this study were selected to construct the phylogenetic tree using the neighbor-joining method. The results revealed that the sequences from China, total 196 sequences, were classified into 4 branches. The findings suggest that the MG strains in China exhibit diverse genotypes, which may be related to international trade and the use of live vaccines. Furthermore, we detected the drug susceptibility of 10 isolated strains randomly, which may be helpful to guide the clinical use of drugs to control MG infection.
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Affiliation(s)
- Xiaona Wei
- Wen's Foodstuff Group Co. Ltd., Xinxing, 527400, Guangdong, China; Yunfu Branch of Guangdong Laboratory for Lingnan Modern Agriculture, Yunfu, 527439, China
| | - Qian Zhong
- College of Animal Science, South China Agricultural University, Guangzhou, 510642, China
| | - Dingai Wang
- Wen's Foodstuff Group Co. Ltd., Xinxing, 527400, Guangdong, China
| | - Zhuanqiang Yan
- Wen's Foodstuff Group Co. Ltd., Xinxing, 527400, Guangdong, China; Yunfu Branch of Guangdong Laboratory for Lingnan Modern Agriculture, Yunfu, 527439, China
| | - Huazhen Liang
- Wen's Foodstuff Group Co. Ltd., Xinxing, 527400, Guangdong, China
| | - Qingfeng Zhou
- Wen's Foodstuff Group Co. Ltd., Xinxing, 527400, Guangdong, China; Yunfu Branch of Guangdong Laboratory for Lingnan Modern Agriculture, Yunfu, 527439, China
| | - Feng Chen
- College of Animal Science, South China Agricultural University, Guangzhou, 510642, China.
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Wei X, Chen W, Sun Q, Zhong Q, Yan Z, Zhou Q, Cao Y, Chen F, Zhang X. Epidemiological Investigations and Multi-locus Sequence Typing of Mycoplasma synoviae Isolates from Chicken Farms in China. Poult Sci 2022; 102:102006. [PMID: 37099877 PMCID: PMC10165133 DOI: 10.1016/j.psj.2022.102006] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/12/2022] [Revised: 06/01/2022] [Accepted: 06/06/2022] [Indexed: 11/19/2022] Open
Abstract
Mycoplasma synoviae (M. synoviae) is an important pathogen in poultry industry and has led to major economic losses. Understanding the epidemiology is crucial to improve control and eradication program of M. synoviae. In this study, 487 samples suspected with M. synoviae infection were collected from August 2020 to June 2021 in China. Among 487 samples, 324 samples were MS positive, the positive rate was 66.53%, and 104 strains were isolated from 324 positive samples. The multilocus sequence typing (MLST) method based on seven housekeeping genes was used to conduct genotyping 104 M. synoviae strains isolated, and the 104 isolates belonged to 8 sequence types (STs) after MLST genotyping, and ST-34 had the highest proportion. After BURST analysis, all 104 isolates were divided into group 12 with other 56 strains isolated from China. Phylogenetic tree constructed by neighbor-joining method showed that nearly all of Chinese isolates (160 isolates) clustered together and separated from other reference isolates (217 isolates) in the PubMLST database. In conclusion, this study suggested that the M. synoviae strains in China were highly similar and independent of abroad strains.
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Affiliation(s)
- Xiaona Wei
- State Key Laboratory of Biocontrol, School of Life Sciences, Sun Yat-sen University, Guangzhou, 510006, China; Guangdong Enterprise Key Laboratory for Animal Health and Environmental Control, Wen's Foodstuff Group Co. Ltd, Yunfu, 527439, China; Wen's Group Academy, Wen's Foodstuffs Group Co., Ltd., Xinxing, 527400, Guangdong, China
| | - Wei Chen
- College of Animal Science, South China Agricultural University, Guangzhou, 510642, China
| | - Qianjin Sun
- College of Animal Science, South China Agricultural University, Guangzhou, 510642, China
| | - Qian Zhong
- College of Animal Science, South China Agricultural University, Guangzhou, 510642, China
| | - Zhuanqiang Yan
- Guangdong Enterprise Key Laboratory for Animal Health and Environmental Control, Wen's Foodstuff Group Co. Ltd, Yunfu, 527439, China; Wen's Group Academy, Wen's Foodstuffs Group Co., Ltd., Xinxing, 527400, Guangdong, China
| | - Qingfeng Zhou
- Guangdong Enterprise Key Laboratory for Animal Health and Environmental Control, Wen's Foodstuff Group Co. Ltd, Yunfu, 527439, China; Wen's Group Academy, Wen's Foodstuffs Group Co., Ltd., Xinxing, 527400, Guangdong, China
| | - Yongchang Cao
- State Key Laboratory of Biocontrol, School of Life Sciences, Sun Yat-sen University, Guangzhou, 510006, China
| | - Feng Chen
- College of Animal Science, South China Agricultural University, Guangzhou, 510642, China
| | - Xiangbin Zhang
- College of Animal Science, South China Agricultural University, Guangzhou, 510642, China; Guangdong Enterprise Key Laboratory for Animal Health and Environmental Control, Wen's Foodstuff Group Co. Ltd, Yunfu, 527439, China; Wen's Group Academy, Wen's Foodstuffs Group Co., Ltd., Xinxing, 527400, Guangdong, China.
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Grózner D, Kovács ÁB, Wehmann E, Kreizinger Z, Bekő K, Mitter A, Sawicka A, Jánosi S, Tomczyk G, Morrow CJ, Bányai K, Gyuranecz M. Multilocus sequence typing of the goose pathogen Mycoplasma anserisalpingitidis. Vet Microbiol 2020; 254:108972. [PMID: 33422690 DOI: 10.1016/j.vetmic.2020.108972] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/24/2020] [Accepted: 12/21/2020] [Indexed: 11/27/2022]
Abstract
Mycoplasma anserisalpingitidis infection is associated with the inflammation of the genital tract and cloaca, embryo lethality, and decreased egg production in geese, leading to serious economic losses. M. anserisalpingitidis has been detected mainly in Central and Eastern Europe, especially in Hungary, but the pathogen was identified recently in China, predicting it's worldwide occurrence. In this study, a novel multilocus sequence typing (MLST) scheme was developed to analyse phylogenetic relationships between M. anserisalpingitidis field isolates and clinical specimens originating from different geographical locations. Five loci (atpG, fusA, pgiB, plsY, and uvrA) were selected for the final MLST study. The examined 89 M. anserisalpingitidis samples yielded 76 unique sequence types with a 0.994 Simpson's index of diversity. The samples were originated from Hungary, Poland, Ukraine, China, and Vietnam. Phylogenetic analysis revealed the existence of three distinct clades (A-C) and six subclades within clade C. Generally, samples originating from the same geographical locations or livestock integration clustered together. Isolates in clade A showed the closest relationships to the M. anatis outgroup due to sequence similarity of the plsY locus. The highest genetic distance was observed in 5C among the subclades of clade C, containing the Asian and some Hungarian field isolates. The developed MLST assay revealed high diversity of the investigated M. anserisalpingitidis samples. The method proved to be a valuable and cost-effective tool for sequence typing of this waterfowl Mycoplasma species, enabling the better understanding of its phylogeny and providing a robust assay for future molecular epidemiological investigations.
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Affiliation(s)
- Dénes Grózner
- Institute for Veterinary Medical Research, Centre for Agricultural Research, 1143, Budapest, Hungária Krt. 21., Hungary.
| | - Áron Botond Kovács
- Institute for Veterinary Medical Research, Centre for Agricultural Research, 1143, Budapest, Hungária Krt. 21., Hungary.
| | - Enikő Wehmann
- Institute for Veterinary Medical Research, Centre for Agricultural Research, 1143, Budapest, Hungária Krt. 21., Hungary.
| | - Zsuzsa Kreizinger
- Institute for Veterinary Medical Research, Centre for Agricultural Research, 1143, Budapest, Hungária Krt. 21., Hungary.
| | - Katinka Bekő
- Institute for Veterinary Medical Research, Centre for Agricultural Research, 1143, Budapest, Hungária Krt. 21., Hungary.
| | - Alexa Mitter
- Institute for Veterinary Medical Research, Centre for Agricultural Research, 1143, Budapest, Hungária Krt. 21., Hungary.
| | - Anna Sawicka
- Department of Poultry Diseases, National Veterinary Research Institute, 24-100, Pulawy, Aleja Partyzantow 57, Poland.
| | - Szilárd Jánosi
- Veterinary Diagnostic Directorate, National Food Chain Safety Office, 1143, Budapest, Tábornok u. 2., Hungary.
| | - Grzegorz Tomczyk
- Department of Poultry Diseases, National Veterinary Research Institute, 24-100, Pulawy, Aleja Partyzantow 57, Poland.
| | - Christopher John Morrow
- Faculty of Veterinary and Agricultural Sciences, The University of Melbourne, Melbourne, Victoria, 3010, Australia.
| | - Krisztián Bányai
- Institute for Veterinary Medical Research, Centre for Agricultural Research, 1143, Budapest, Hungária Krt. 21., Hungary.
| | - Miklós Gyuranecz
- Institute for Veterinary Medical Research, Centre for Agricultural Research, 1143, Budapest, Hungária Krt. 21., Hungary; Department of Microbiology and Infectious Diseases, University of Veterinary Medicine, 1078, Budapest, István u. 2., Hungary.
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Genotyping Mycoplasma hyorhinis by multi-locus sequence typing and multiple-locus variable-number tandem-repeat analysis. Vet Microbiol 2020; 249:108836. [PMID: 32956967 DOI: 10.1016/j.vetmic.2020.108836] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/27/2020] [Accepted: 08/10/2020] [Indexed: 11/20/2022]
Abstract
Mycoplasma hyorhinis is a swine pathogen bacterium, which causes significant economic losses. The infection spreads through direct contact between the animals. Powerful genotyping methods like PCR based multi-locus sequence typing (MLST) and multiple-locus variable-number tandem-repeat analysis (MLVA) are necessary to monitor the infections and to conduct epidemiological investigations; hence supporting the control of the disease. The aims of the present study were to examine M. hyorhinis isolates originating mainly from Hungary with MLST and MLVA developed in the study, and to compare the results of the two typing methods. To characterize 39 M. hyorhinis isolates and the type strain (NCTC 10,130), six house-keeping genes were selected for MLST and six tandem-repeat regions were chosen for MLVA. We were able to differentiate 31 sequence types and 37 genotypes within the 40 analyzed isolates by the MLST and the MLVA, respectively. With the combination of the two newly developed assays all examined isolates were distinguished with the exception of the ones originating from the same animal. The developed MLST assay provided a robust and high resolution phylogenetic tree, while the MLVA system is suitable for the differentiation of closely related isolates from the same farm, hence the assay is appropriate for epidemiologic studies.
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Ghanem M, El-Gazzar M. Development of a Multilocus Sequence Typing Assay for Mycoplasma gallisepticum. Avian Dis 2020; 63:693-702. [PMID: 31865685 DOI: 10.1637/aviandiseases-d-19-00072] [Citation(s) in RCA: 9] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/07/2019] [Accepted: 08/29/2019] [Indexed: 11/05/2022]
Abstract
Mycoplasma gallisepticum (MG) is the most pathogenic avian mycoplasma species. It affects commercial and noncommercial poultry and wild birds. Current MG sequence typing methods rely on the partial sequence of one or more surface antigen genes. Multilocus sequence typing (MLST), a widely used typing method for many human and animal pathogens, relies on conserved housekeeping genes. Recently, MLST assays have been developed for Mycoplasma synoviae (MS) and Mycoplasma iowae. Additionally, a whole genome-based core genome MLST (cgMLST) assay has been developed for MG and MS. However, cgMLST can be implemented only on pure isolates and cannot be applied to clinical samples. Here, we have developed a seven-locus-based MLST scheme for MG that can be applied directly on clinical samples without the need for isolation. The seven loci were selected from 425 genes recently used for the cgMLST assay. A total of 101 diverse MG samples, including isolates and clinical samples, were typed with the newly developed seven-locus MLST. The phylogeny and discriminatory power of the seven-locus MLST were evaluated and compared with the cgMLST and gene-targeted sequencing methods currently used for MG sequence typing. The seven-locus MLST provided optimum discriminatory power and congruent phylogeny to cgMLST. Additionally, a database for MG MLST was created and is currently available for public use online. This assay will increase accessibility to MG sequence typing and provide a stable and expandable nomenclature compatible with cgMLST. The seven-locus MLST assay represents an important tool for epidemiologic investigation of MG that can contribute to better control and eradication efforts.
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Affiliation(s)
- Mostafa Ghanem
- Department of Veterinary Preventive Medicine, College of Veterinary Medicine, The Ohio State University, Columbus, OH 43210,
| | - Mohamed El-Gazzar
- Department of Veterinary Preventive Medicine, College of Veterinary Medicine, The Ohio State University, Columbus, OH 43210
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Balestrin E, Kuhnert P, Wolf JM, Wolf LM, Fonseca ASK, Ikuta N, Lunge VR, Siqueira FM. Clonality of Mycoplasma hyopneumoniae in swine farms from Brazil. Vet Microbiol 2019; 238:108434. [PMID: 31648728 DOI: 10.1016/j.vetmic.2019.108434] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/18/2019] [Revised: 09/04/2019] [Accepted: 09/26/2019] [Indexed: 10/25/2022]
Abstract
Mycoplasma hyopneumoniae causes enzootic pneumonia (EP) in swine, a disease related to high economic losses in production systems. Epidemiological spread of M. hyopneumoniae clones was studied by multi-locus sequence typing (MLST) in several swine production regions but so far not in South America. Using MLST, we have therefore investigated M. hyopneumoniae clones circulating in farms from three main swine production regions in Brazil. Porcine lungs samples were collected between 2015 and 2016 in farms with EP outbreaks. Three geographically distant regions were selected, and 67 M. hyopneumoniae positive samples, each one from a different farm, were included in the study. The occurrence of five sequence types (ST) was demonstrated and the majority of the samples were identified as ST-69 (n = 60; 89.5%), followed by ST-70 (n = 3; 4.5%), ST-123 (n = 2; 3%), ST-124 (n = 1; 1.5%) and ST-127 (n = 1; 1.5%). There was no association of any specific ST with region or production system. The five STs were all new ones, probably representing unique Brazilian clones. ST-69 and ST-70 on one side and ST-123 and ST-124 on the other side are phylogenetically close, while ST-127 is singleton. In conclusion, our results showed a low variability and high clonality of M. hyopneumoniae genotypes from Brazilian farms affected by EP.
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Affiliation(s)
- Eder Balestrin
- Laboratory of Molecular Diagnostic, Lutheran University from Brazil (ULBRA), Canoas, Rio Grande do Sul, Brazil
| | - Peter Kuhnert
- Institute of Veterinary Bacteriology, Vetsuisse Faculty, University of Bern, Switzerland
| | - Jonas Michel Wolf
- Laboratory of Molecular Diagnostic, Lutheran University from Brazil (ULBRA), Canoas, Rio Grande do Sul, Brazil
| | - Lucas Michel Wolf
- Laboratory of Molecular Diagnostic, Lutheran University from Brazil (ULBRA), Canoas, Rio Grande do Sul, Brazil
| | | | - Nilo Ikuta
- Laboratory of Molecular Diagnostic, Lutheran University from Brazil (ULBRA), Canoas, Rio Grande do Sul, Brazil; Simbios Biotecnologia, Cachoeirinha, Rio Grande do Sul, Brazil
| | - Vagner Ricardo Lunge
- Laboratory of Molecular Diagnostic, Lutheran University from Brazil (ULBRA), Canoas, Rio Grande do Sul, Brazil; Simbios Biotecnologia, Cachoeirinha, Rio Grande do Sul, Brazil
| | - Franciele Maboni Siqueira
- Laboratory of Veterinary Bacteriology, Veterinary Pathology Department, Federal University of Rio Grande do Sul, Porto Alegre, Rio Grande do Sul, Brazil.
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Multilocus Sequence Analysis Reveals Three Distinct Populations of " Candidatus Phytoplasma palmicola" with a Specific Geographical Distribution on the African Continent. Appl Environ Microbiol 2019; 85:AEM.02716-18. [PMID: 30770404 PMCID: PMC6450020 DOI: 10.1128/aem.02716-18] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/29/2018] [Accepted: 02/05/2019] [Indexed: 12/15/2022] Open
Abstract
Coconut is an important crop for both industry and small stakeholders in many intertropical countries. Phytoplasma-associated lethal yellowing-like diseases have become one of the major pests that limit coconut cultivation as they have emerged in different parts of the world. We developed a multilocus sequence typing scheme (MLST) for tracking epidemics of “Ca. Phytoplasma palmicola,” which is responsible for coconut lethal yellowing disease (CLYD) on the African continent. MLST analysis applied to diseased coconut samples collected in western and eastern African countries also showed the existence of three distinct populations of “Ca. Phytoplasma palmicola” with low intrapopulation diversity. The reasons for the observed strong geographic patterns remain to be established but could result from the lethality of CLYD and the dominance of short-distance insect-mediated transmission. To sustain epidemiological studies on coconut lethal yellowing disease (CLYD), a devastating disease in Africa caused by a phytoplasma, we developed a multilocus sequence typing (MLST) scheme for “Candidatus Phytoplasma palmicola” based on eight housekeeping genes. At the continental level, eight different sequence types were identified among 132 “Candidatus Phytoplasma palmicola”-infected coconuts collected in Ghana, Nigeria, and Mozambique, where CLYD epidemics are still very active. “Candidatus Phytoplasma palmicola” appeared to be a bacterium that is subject to strong bottlenecks, reducing the fixation of positively selected beneficial mutations into the bacterial population. This phenomenon, as well as a limited plant host range, might explain the observed country-specific distribution of the eight haplotypes. As an alternative means to increase fitness, bacteria can also undergo genetic exchange; however, no evidence for such recombination events was found for “Candidatus Phytoplasma palmicola.” The implications for CLYD epidemiology and prophylactic control are discussed. The usefulness of seven housekeeping genes to investigate the genetic diversity in the genus “Candidatus Phytoplasma” is underlined. IMPORTANCE Coconut is an important crop for both industry and small stakeholders in many intertropical countries. Phytoplasma-associated lethal yellowing-like diseases have become one of the major pests that limit coconut cultivation as they have emerged in different parts of the world. We developed a multilocus sequence typing scheme (MLST) for tracking epidemics of “Ca. Phytoplasma palmicola,” which is responsible for coconut lethal yellowing disease (CLYD) on the African continent. MLST analysis applied to diseased coconut samples collected in western and eastern African countries also showed the existence of three distinct populations of “Ca. Phytoplasma palmicola” with low intrapopulation diversity. The reasons for the observed strong geographic patterns remain to be established but could result from the lethality of CLYD and the dominance of short-distance insect-mediated transmission.
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Bekő K, Kreizinger Z, Sulyok KM, Kovács ÁB, Grózner D, Catania S, Bradbury J, Lysnyansky I, Olaogun OM, Czanik B, Ellakany H, Gyuranecz M. Genotyping Mycoplasma gallisepticum by multilocus sequence typing. Vet Microbiol 2019; 231:191-196. [PMID: 30955809 DOI: 10.1016/j.vetmic.2019.03.016] [Citation(s) in RCA: 20] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/11/2019] [Revised: 03/12/2019] [Accepted: 03/12/2019] [Indexed: 10/27/2022]
Abstract
Mycoplasma gallisepticum causes chronic respiratory disease and reproductive disorders in many bird species, resulting in considerable economic losses to the poultry industry. Maintenance of M. gallisepticum-free flocks is the most adequate method to control infection. To this end, monitoring systems and vaccination programs with live vaccine strains are applied worldwide. There is strong demand for efficient epidemiological investigation tools to distinguish M. gallisepticum strains in order to control disease. Up to now, multilocus sequence typing (MLST) has been regarded as gold standard for genotyping bacteria due to its good reproducibility and high discriminatory power. The aim of this study was to develop an MLST assay which can determine phylogenetic distances between M. gallisepticum strains. After analysing more than 30 housekeeping genes, six loci (atpG, dnaA, fusA, rpoB, ruvB, uvrA) were selected for the MLST assay due to their genomic location and high diversity. Examination of 130 M. gallisepticum strains with this MLST method yielded 57 unique sequence types (STs) with a 0.96 Simpson's index of diversity. Considering the large number of STs and high diversity index, this MLST method was found to be appropriate to discriminate M. gallisepticum strains. In addition, the developed method was shown to be suitable for epidemiological investigations, as it confirmed linkage between related strains from outbreaks in different farms. Besides, MLST also suggested high impact of extensive international trade on the spread of different M. gallisepticum strains. Furthermore this method can be used for differentiation among vaccine and field strains.
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Affiliation(s)
- Katinka Bekő
- Institute for Veterinary Medical Research, Centre for Agricultural Research, Hungarian Academy of Sciences, Hungária körút 21, Budapest 1143, Hungary.
| | - Zsuzsa Kreizinger
- Institute for Veterinary Medical Research, Centre for Agricultural Research, Hungarian Academy of Sciences, Hungária körút 21, Budapest 1143, Hungary.
| | - Kinga M Sulyok
- Institute for Veterinary Medical Research, Centre for Agricultural Research, Hungarian Academy of Sciences, Hungária körút 21, Budapest 1143, Hungary.
| | - Áron B Kovács
- Institute for Veterinary Medical Research, Centre for Agricultural Research, Hungarian Academy of Sciences, Hungária körút 21, Budapest 1143, Hungary.
| | - Dénes Grózner
- Institute for Veterinary Medical Research, Centre for Agricultural Research, Hungarian Academy of Sciences, Hungária körút 21, Budapest 1143, Hungary.
| | - Salvatore Catania
- Instituto Zooprofilattico Sperimentale delle Venezie, Via San Giacomo 5, Verona 37000, Italy.
| | - Janet Bradbury
- Institute of Veterinary Science, University of Liverpool, Leahurst Campus, Neston CH64 7TE, UK.
| | - Inna Lysnyansky
- Department of Avian and Fish Diseases, Kimron Veterinary Institute, POB 12, Beit Dagan 50250, Israel.
| | - Olusola Martins Olaogun
- Asia-Pacific Centre for Animal Health, Faculty of Veterinary and Agricultural Sciences, The University of Melbourne, Parkville, Victoria 3010, Australia.
| | - Béla Czanik
- NAGISZ Ltd, Fő u. 19, Nádudvar 4181, Hungary.
| | - Hany Ellakany
- Department of Poultry and Fish Diseases, Faculty of Veterinary Medicine, Damanhour University, Elgomhoria st. 63, Damanhour, Elbehira 22511, Egypt.
| | - Miklós Gyuranecz
- Institute for Veterinary Medical Research, Centre for Agricultural Research, Hungarian Academy of Sciences, Hungária körút 21, Budapest 1143, Hungary; Department of Microbiology and Infectious Diseases, University of Veterinary Medicine, Hungária körút 23-25, Budapest 1143, Hungary.
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11
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Ghanem M, Wang L, Zhang Y, Edwards S, Lu A, Ley D, El-Gazzar M. Core Genome Multilocus Sequence Typing: a Standardized Approach for Molecular Typing of Mycoplasma gallisepticum. J Clin Microbiol 2018; 56:JCM.01145-17. [PMID: 29070657 PMCID: PMC5744223 DOI: 10.1128/jcm.01145-17] [Citation(s) in RCA: 20] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/18/2017] [Accepted: 10/14/2017] [Indexed: 02/07/2023] Open
Abstract
Mycoplasma gallisepticum is the most virulent and economically important Mycoplasma species for poultry worldwide. Currently, M. gallisepticum strain differentiation based on sequence analysis of 5 loci remains insufficient for accurate outbreak investigation. Recently, whole-genome sequences (WGS) of many human and animal pathogens have been successfully used for microbial outbreak investigations. However, the massive sequence data and the diverse properties of different genes within bacterial genomes results in a lack of standard reproducible methods for comparisons among M. gallisepticum whole genomes. Here, we proposed the development of a core genome multilocus sequence typing (cgMLST) scheme for M. gallisepticum strains and field isolates. For development of this scheme, a diverse collection of 37 M. gallisepticum genomes was used to identify cgMLST targets. A total of 425 M. gallisepticum conserved genes (49.85% of M. gallisepticum genome) were selected as core genome targets. A total of 81 M. gallisepticum genomes from 5 countries on 4 continents were typed using M. gallisepticum cgMLST. Analyses of phylogenetic trees generated by cgMLST displayed a high degree of agreement with geographical and temporal information. Moreover, the high discriminatory power of cgMLST allowed differentiation between M. gallisepticum strains of the same outbreak. M. gallisepticum cgMLST represents a standardized, accurate, highly discriminatory, and reproducible method for differentiation among M. gallisepticum isolates. cgMLST provides stable and expandable nomenclature, allowing for comparison and sharing of typing results among laboratories worldwide. cgMLST offers an opportunity to harness the tremendous power of next-generation sequencing technology in applied avian mycoplasma epidemiology at both local and global levels.
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Affiliation(s)
- Mostafa Ghanem
- Department of Veterinary Preventive Medicine, College of Veterinary Medicine, The Ohio State University, Columbus, Ohio, USA
- Faculty of Veterinary Medicine, Alexandria University, Rasheed El-Mahmoudeya, Markaz Rasheed, El Beheira Governorate, Egypt
| | - Leyi Wang
- Animal Disease Diagnostic Laboratory, Ohio Department of Agriculture, Reynoldsburg, Ohio, USA
| | - Yan Zhang
- Animal Disease Diagnostic Laboratory, Ohio Department of Agriculture, Reynoldsburg, Ohio, USA
| | - Scott Edwards
- Department of Organismic and Evolutionary Biology, Harvard University, Cambridge, Massachusetts, USA
| | - Amanda Lu
- Department of Organismic and Evolutionary Biology, Harvard University, Cambridge, Massachusetts, USA
| | - David Ley
- Department of Population Health and Pathobiology, College of Veterinary Medicine, North Carolina State University, Raleigh, North Carolina, USA
| | - Mohamed El-Gazzar
- Department of Veterinary Preventive Medicine, College of Veterinary Medicine, The Ohio State University, Columbus, Ohio, USA
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