Clasnip : a web-based intraspecies classifier and multi-locus sequence typing for pathogenic microorganisms using fragmented sequences

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dc.contributor.author
Chuan, Jiacheng
Xu, Huimin
Hammill, Desmond
Hale, Lawrence
Chen, Wen
Li, Xiang
dc.date.accepted
2022-11-09
dc.date.accessioned
2024-08-30T13:02:34Z
dc.date.available
2024-08-30T13:02:34Z
dc.date.issued
2023-01-01
dc.date.submitted
2022-07-25
dc.description.abstract - en
Bioinformatic approaches for the identification of microorganisms have evolved rapidly, but existing methods are time-consuming, complicated or expensive for massive screening of pathogens and their non-pathogenic relatives. Also, bioinformatic classifiers usually lack automatically generated performance statistics for specific databases. To address this problem, we developed Clasnip (www.clasnip.com), an easy-to-use web-based platform for the classification and similarity evaluation of closely related microorganisms at interspecies and intraspecies levels. Clasnip mainly consists of two modules: database building and sample classification. In database building, labeled nucleotide sequences are mapped to a reference sequence, and then single nucleotide polymorphisms (SNPs) statistics are generated. A probability model of SNPs and classification groups is built using Hidden Markov Models and solved using the maximum likelihood method. Database performance is estimated using three replicates of two-fold cross-validation. Sensitivity (recall), specificity (selectivity), precision, accuracy and other metrics are computed for all samples, training sets, and test sets. In sample classification, Clasnip accepts inputs of genes, short fragments, contigs and even whole genomes. It can report classification probability and a multi-locus sequence typing table for SNPs. The classification performance was tested using short sequences of 16S, 16–23S and 50S rRNA regions for 12 haplotypes of Candidatus Liberibacter solanacearum (CLso), a regulated plant pathogen associated with severe disease in economically important Apiaceous and Solanaceous crops. The program was able to classify CLso samples with even only 1–2 SNPs available, and achieved 97.2%, 98.8% and 100.0% accuracy based on 16S, 16–23S, and 50S rRNA sequences, respectively. In comparison with all existing 12 haplotypes, we proposed that to be classified as a new haplotype, given samples have at least 2 SNPs in the combined region of 16S rRNA (OA2/Lsc2) and 16–23S IGS (Lp Frag 4–1611F/Lp Frag 4–480R) regions, and 2 SNPs in the 50S rplJ/rplL (CL514F/CL514R) regions. Besides, we have included the databases for differentiating Dickeya spp., Pectobacterium spp. and Clavibacter spp. In addition to bacteria, we also tested Clasnip performance on potato virus Y (PVY). 251 PVY genomes were 100% correctly classified into seven groups (PVYC, PVYN, PVYO, PVYNTN, PVYN:O, Poha, and Chile3). In conclusion, Clasnip is a statistically sound and user-friendly bioinformatic application for microorganism classification at the intraspecies level. Clasnip service is freely available at www.clasnip.com.
dc.identifier.citation
Chuan, J., Xu, H., Hammill, D. L., Hale, L., Chen, W., & Li, X. (2023). Clasnip: A web-based intraspecies classifier and multi-locus sequence typing for pathogenic microorganisms using fragmented sequences. PeerJ, 11. https://doi.org/10.7717/peerj.14490
dc.identifier.doi
https://doi.org/10.7717/peerj.14490
dc.identifier.uri
https://science-ouverte.canada.ca/handle/123456789/2908
dc.language.iso
en
dc.publisher
PeerJ
dc.rights - en
Creative Commons Attribution 4.0 International (CC BY 4.0)
dc.rights - fr
Creative Commons Attribution 4.0 International (CC BY 4.0)
dc.rights.openaccesslevel - en
Green
dc.rights.openaccesslevel - fr
Vert
dc.rights.uri - en
https://creativecommons.org/licenses/by/4.0/
dc.rights.uri - fr
https://creativecommons.org/licenses/by/4.0/deed.fr
dc.subject - en
Science and technology
dc.subject - fr
Sciences et technologie
dc.subject.en - en
Science and technology
dc.subject.fr - fr
Sciences et technologie
dc.title - en
Clasnip : a web-based intraspecies classifier and multi-locus sequence typing for pathogenic microorganisms using fragmented sequences
dc.type - en
Article
dc.type - fr
Article
local.acceptedmanuscript.articlenum
e14490
local.article.journaltitle
PeerJ
local.article.journalvolume
11
local.peerreview - en
Yes
local.peerreview - fr
Oui
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