Correlating Genotyping Data of <i>Coxiella burnetii</i> with Genomic Groups
<i>Coxiella burnetii</i> 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 o...
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| Format: | Article |
| Language: | English |
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MDPI AG
2021-05-01
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| Series: | Pathogens |
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| Online Access: | https://www.mdpi.com/2076-0817/10/5/604 |
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| author | Claudia M. Hemsley Angela Essex-Lopresti Isobel H. Norville Richard W. Titball |
| author_facet | Claudia M. Hemsley Angela Essex-Lopresti Isobel H. Norville Richard W. Titball |
| author_sort | Claudia M. Hemsley |
| collection | DOAJ |
| description | <i>Coxiella burnetii</i> 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 <i>C. burnetii</i> 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 <i>C. burnetii</i> isolates. |
| first_indexed | 2024-03-10T11:23:47Z |
| format | Article |
| id | doaj.art-497529be7ba4413480322ca7d8c2507d |
| institution | Directory Open Access Journal |
| issn | 2076-0817 |
| language | English |
| last_indexed | 2024-03-10T11:23:47Z |
| publishDate | 2021-05-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Pathogens |
| spelling | doaj.art-497529be7ba4413480322ca7d8c2507d2023-11-21T19:50:46ZengMDPI AGPathogens2076-08172021-05-0110560410.3390/pathogens10050604Correlating Genotyping Data of <i>Coxiella burnetii</i> with Genomic GroupsClaudia M. Hemsley0Angela Essex-Lopresti1Isobel H. Norville2Richard W. Titball3Department of Biosciences, College of Life and Environmental Sciences—Biosciences, University of Exeter, Exeter EX4 4QD, UKDefence Science and Technology Laboratories, CBR Division, Porton Down, Salisbury SP4 0JQ, UKDefence Science and Technology Laboratories, CBR Division, Porton Down, Salisbury SP4 0JQ, UKDepartment of Biosciences, College of Life and Environmental Sciences—Biosciences, University of Exeter, Exeter EX4 4QD, UK<i>Coxiella burnetii</i> 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 <i>C. burnetii</i> 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 <i>C. burnetii</i> isolates.https://www.mdpi.com/2076-0817/10/5/604<i>Coxiella burnetii</i>genotypingMSTMLVAgenomic groups |
| spellingShingle | Claudia M. Hemsley Angela Essex-Lopresti Isobel H. Norville Richard W. Titball Correlating Genotyping Data of <i>Coxiella burnetii</i> with Genomic Groups Pathogens <i>Coxiella burnetii</i> genotyping MST MLVA genomic groups |
| title | Correlating Genotyping Data of <i>Coxiella burnetii</i> with Genomic Groups |
| title_full | Correlating Genotyping Data of <i>Coxiella burnetii</i> with Genomic Groups |
| title_fullStr | Correlating Genotyping Data of <i>Coxiella burnetii</i> with Genomic Groups |
| title_full_unstemmed | Correlating Genotyping Data of <i>Coxiella burnetii</i> with Genomic Groups |
| title_short | Correlating Genotyping Data of <i>Coxiella burnetii</i> with Genomic Groups |
| title_sort | correlating genotyping data of i coxiella burnetii i with genomic groups |
| topic | <i>Coxiella burnetii</i> genotyping MST MLVA genomic groups |
| url | https://www.mdpi.com/2076-0817/10/5/604 |
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