VPsero: Rapid Serotyping of Vibrio parahaemolyticus Using Serogroup-Specific Genes Based on Whole-Genome Sequencing Data
Vibrio parahaemolyticus has emerged as a significant enteropathogen in human and marine habitats worldwide, notably in regions where aquaculture products constitute a major nutritional source. It is a growing cause of diseases including gastroenteritis, wound infections, and septicemia. Serotyping a...
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Published in | Frontiers in microbiology Vol. 12; p. 620224 |
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Main Authors | , , , , , , , |
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Language | English |
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02.09.2021
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Abstract | Vibrio parahaemolyticus
has emerged as a significant enteropathogen in human and marine habitats worldwide, notably in regions where aquaculture products constitute a major nutritional source. It is a growing cause of diseases including gastroenteritis, wound infections, and septicemia. Serotyping assays use commercially available antisera to identify
V. parahaemolyticus
strains, but this approach is limited by high costs, complicated procedures, cross-immunoreactivity, and often subjective interpretation. By leveraging high-throughput sequencing technologies, we developed an
in silico
method based on comparison of gene clusters for lipopolysaccharide (LPSgc) and capsular polysaccharide (CPSgc) by firstly using the unique-gene strategy. The algorithm, VPsero, which exploits serogroup-specific genes as markers, covers 43 K and all 12 O serogroups in serotyping assays. VPsero is capable of predicting serotypes from assembled draft genomes, outputting LPSgc/CPSgc sequences, and recognizing possible novel serogroups or populations. Our tool displays high specificity and sensitivity in prediction toward
V. parahaemolyticus
strains, with an average sensitivity in serogroup prediction of 0.910 for O and 0.961 for K serogroups and a corresponding average specificity of 0.990 for O and 0.998 for K serogroups. |
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AbstractList | has emerged as a significant enteropathogen in human and marine habitats worldwide, notably in regions where aquaculture products constitute a major nutritional source. It is a growing cause of diseases including gastroenteritis, wound infections, and septicemia. Serotyping assays use commercially available antisera to identify
strains, but this approach is limited by high costs, complicated procedures, cross-immunoreactivity, and often subjective interpretation. By leveraging high-throughput sequencing technologies, we developed an
method based on comparison of gene clusters for lipopolysaccharide (LPSgc) and capsular polysaccharide (CPSgc) by firstly using the unique-gene strategy. The algorithm, VPsero, which exploits serogroup-specific genes as markers, covers 43 K and all 12 O serogroups in serotyping assays. VPsero is capable of predicting serotypes from assembled draft genomes, outputting LPSgc/CPSgc sequences, and recognizing possible novel serogroups or populations. Our tool displays high specificity and sensitivity in prediction toward
strains, with an average sensitivity in serogroup prediction of 0.910 for O and 0.961 for K serogroups and a corresponding average specificity of 0.990 for O and 0.998 for K serogroups. Vibrio parahaemolyticus has emerged as a significant enteropathogen in human and marine habitats worldwide, notably in regions where aquaculture products constitute a major nutritional source. It is a growing cause of diseases including gastroenteritis, wound infections, and septicemia. Serotyping assays use commercially available antisera to identify V. parahaemolyticus strains, but this approach is limited by high costs, complicated procedures, cross-immunoreactivity, and often subjective interpretation. By leveraging high-throughput sequencing technologies, we developed an in silico method based on comparison of gene clusters for lipopolysaccharide (LPSgc) and capsular polysaccharide (CPSgc) by firstly using the unique-gene strategy. The algorithm, VPsero, which exploits serogroup-specific genes as markers, covers 43 K and all 12 O serogroups in serotyping assays. VPsero is capable of predicting serotypes from assembled draft genomes, outputting LPSgc/CPSgc sequences, and recognizing possible novel serogroups or populations. Our tool displays high specificity and sensitivity in prediction toward V. parahaemolyticus strains, with an average sensitivity in serogroup prediction of 0.910 for O and 0.961 for K serogroups and a corresponding average specificity of 0.990 for O and 0.998 for K serogroups. Vibrio parahaemolyticus has emerged as a significant enteropathogen in human and marine habitats worldwide, notably in regions where aquaculture products constitute a major nutritional source. It is a growing cause of diseases including gastroenteritis, wound infections, and septicemia. Serotyping assays use commercially available antisera to identify V. parahaemolyticus strains, but this approach is limited by high costs, complicated procedures, cross-immunoreactivity, and often subjective interpretation. By leveraging high-throughput sequencing technologies, we developed an in silico method based on comparison of gene clusters for lipopolysaccharide (LPSgc) and capsular polysaccharide (CPSgc) by firstly using the unique-gene strategy. The algorithm, VPsero, which exploits serogroup-specific genes as markers, covers 43 K and all 12 O serogroups in serotyping assays. VPsero is capable of predicting serotypes from assembled draft genomes, outputting LPSgc/CPSgc sequences, and recognizing possible novel serogroups or populations. Our tool displays high specificity and sensitivity in prediction toward V. parahaemolyticus strains, with an average sensitivity in serogroup prediction of 0.910 for O and 0.961 for K serogroups and a corresponding average specificity of 0.990 for O and 0.998 for K serogroups.Vibrio parahaemolyticus has emerged as a significant enteropathogen in human and marine habitats worldwide, notably in regions where aquaculture products constitute a major nutritional source. It is a growing cause of diseases including gastroenteritis, wound infections, and septicemia. Serotyping assays use commercially available antisera to identify V. parahaemolyticus strains, but this approach is limited by high costs, complicated procedures, cross-immunoreactivity, and often subjective interpretation. By leveraging high-throughput sequencing technologies, we developed an in silico method based on comparison of gene clusters for lipopolysaccharide (LPSgc) and capsular polysaccharide (CPSgc) by firstly using the unique-gene strategy. The algorithm, VPsero, which exploits serogroup-specific genes as markers, covers 43 K and all 12 O serogroups in serotyping assays. VPsero is capable of predicting serotypes from assembled draft genomes, outputting LPSgc/CPSgc sequences, and recognizing possible novel serogroups or populations. Our tool displays high specificity and sensitivity in prediction toward V. parahaemolyticus strains, with an average sensitivity in serogroup prediction of 0.910 for O and 0.961 for K serogroups and a corresponding average specificity of 0.990 for O and 0.998 for K serogroups. Vibrio parahaemolyticus has emerged as a significant enteropathogen in human and marine habitats worldwide, notably in regions where aquaculture products constitute a major nutritional source. It is a growing cause of diseases including gastroenteritis, wound infections, and septicemia. Serotyping assays use commercially available antisera to identify V. parahaemolyticus strains, but this approach is limited by high costs, complicated procedures, cross-immunoreactivity, and often subjective interpretation. By leveraging high-throughput sequencing technologies, we developed an in silico method based on comparison of gene clusters for lipopolysaccharide (LPSgc) and capsular polysaccharide (CPSgc) by firstly using the unique-gene strategy. The algorithm, VPsero, which exploits serogroup-specific genes as markers, covers 43 K and all 12 O serogroups in serotyping assays. VPsero is capable of predicting serotypes from assembled draft genomes, outputting LPSgc/CPSgc sequences, and recognizing possible novel serogroups or populations. Our tool displays high specificity and sensitivity in prediction toward V. parahaemolyticus strains, with an average sensitivity in serogroup prediction of 0.910 for O and 0.961 for K serogroups and a corresponding average specificity of 0.990 for O and 0.998 for K serogroups. |
Author | Wong, Nai-Kei Zhan, Qiuyao Zhang, Wenwei Jia, Yangyang Bian, Shengzhe Li, Liqiang Zhang, Yongwei Hu, Qinghua |
AuthorAffiliation | 7 Shenzhen Center for Disease Control and Prevention , Shenzhen , China 3 School of Public Health (Shenzhen), Sun Yat-sen University , Guangzhou , China 6 Department of Pharmacology, Shantou University Medical College , Shantou , China 2 BGI Education Center, University of Chinese Academy of Sciences , Shenzhen , China 1 BGI-Shenzhen , Shenzhen , China 5 CAS Key Laboratory of Tropical Marine Bio-resources and Ecology, South China Sea Institute of Oceanology, Chinese Academy of Sciences , Guangzhou , China 4 Shenzhen Key Laboratory of Unknown Pathogen Identification , Shenzhen , China |
AuthorAffiliation_xml | – name: 7 Shenzhen Center for Disease Control and Prevention , Shenzhen , China – name: 3 School of Public Health (Shenzhen), Sun Yat-sen University , Guangzhou , China – name: 5 CAS Key Laboratory of Tropical Marine Bio-resources and Ecology, South China Sea Institute of Oceanology, Chinese Academy of Sciences , Guangzhou , China – name: 1 BGI-Shenzhen , Shenzhen , China – name: 4 Shenzhen Key Laboratory of Unknown Pathogen Identification , Shenzhen , China – name: 2 BGI Education Center, University of Chinese Academy of Sciences , Shenzhen , China – name: 6 Department of Pharmacology, Shantou University Medical College , Shantou , China |
Author_xml | – sequence: 1 givenname: Shengzhe surname: Bian fullname: Bian, Shengzhe – sequence: 2 givenname: Yangyang surname: Jia fullname: Jia, Yangyang – sequence: 3 givenname: Qiuyao surname: Zhan fullname: Zhan, Qiuyao – sequence: 4 givenname: Nai-Kei surname: Wong fullname: Wong, Nai-Kei – sequence: 5 givenname: Qinghua surname: Hu fullname: Hu, Qinghua – sequence: 6 givenname: Wenwei surname: Zhang fullname: Zhang, Wenwei – sequence: 7 givenname: Yongwei surname: Zhang fullname: Zhang, Yongwei – sequence: 8 givenname: Liqiang surname: Li fullname: Li, Liqiang |
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Copyright | Copyright © 2021 Bian, Jia, Zhan, Wong, Hu, Zhang, Zhang and Li. Copyright © 2021 Bian, Jia, Zhan, Wong, Hu, Zhang, Zhang and Li. 2021 Bian, Jia, Zhan, Wong, Hu, Zhang, Zhang and Li |
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Keywords | genetic cluster Vibrio parahaemolyticus lipopolysaccharide (LPS) capsular polysaccharide (CPS) serotype |
Language | English |
License | Copyright © 2021 Bian, Jia, Zhan, Wong, Hu, Zhang, Zhang and Li. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms. |
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Notes | ObjectType-Article-1 SourceType-Scholarly Journals-1 ObjectType-Feature-2 content type line 23 This article was submitted to Food Microbiology, a section of the journal Frontiers in Microbiology Edited by: Antonio Valero, University of Córdoba, Spain Reviewed by: Christopher John Grim, United States Food and Drug Administration, United States; Jeffrey Wayne Turner, Texas A&M University Corpus Christi, United States |
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Snippet | Vibrio parahaemolyticus
has emerged as a significant enteropathogen in human and marine habitats worldwide, notably in regions where aquaculture products... has emerged as a significant enteropathogen in human and marine habitats worldwide, notably in regions where aquaculture products constitute a major... Vibrio parahaemolyticus has emerged as a significant enteropathogen in human and marine habitats worldwide, notably in regions where aquaculture products... |
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StartPage | 620224 |
SubjectTerms | capsular polysaccharide (CPS) genetic cluster lipopolysaccharide (LPS) Microbiology serotype Vibrio parahaemolyticus |
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Title | VPsero: Rapid Serotyping of Vibrio parahaemolyticus Using Serogroup-Specific Genes Based on Whole-Genome Sequencing Data |
URI | https://www.ncbi.nlm.nih.gov/pubmed/34539587 https://www.proquest.com/docview/2574737197 https://pubmed.ncbi.nlm.nih.gov/PMC8443796 https://doaj.org/article/cbdde4253ec94dde9b03682ee0a93ad2 |
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