Sequence analysis of pooled bacterial samples enables identification of strain variation in group A streptococcus

dc.contributor.authorWeldatsadik RG
dc.contributor.authorWang JW
dc.contributor.authorPuhakainen K
dc.contributor.authorJiao H
dc.contributor.authorJalava J
dc.contributor.authorRaisanen K
dc.contributor.authorDatta N
dc.contributor.authorSkoog T
dc.contributor.authorVuopio J
dc.contributor.authorJokiranta TS
dc.contributor.authorKere J
dc.contributor.organizationfi=biolääketieteen laitos|en=Institute of Biomedicine|
dc.contributor.organization-code1.2.246.10.2458963.20.77952289591
dc.converis.publication-id20510928
dc.converis.urlhttps://research.utu.fi/converis/portal/Publication/20510928
dc.date.accessioned2022-10-28T14:31:45Z
dc.date.available2022-10-28T14:31:45Z
dc.description.abstractKnowledge of the genomic variation among different strains of a pathogenic microbial species can help in selecting optimal candidates for diagnostic assays and vaccine development. Pooled sequencing (Pool-seq) is a cost effective approach for population level genetic studies that require large numbers of samples such as various strains of a microbe. To test the use of Pool-seq in identifying variation, we pooled DNA of 100 Streptococcus pyogenes strains of different emm types in two pools, each containing 50 strains. We used four variant calling tools (Freebayes, UnifiedGenotyper, SNVer, and SAMtools) and one emm1 strain, SF370, as a reference genome. In total 63719 SNPs and 164 INDELs were identified in the two pools concordantly by at least two of the tools. Majority of the variants (93.4%) from six individually sequenced strains used in the pools could be identified from the two pools and 72.3% and 97.4% of the variants in the pools could be mined from the analysis of the 44 complete Str. pyogenes genomes and 3407 sequence runs deposited in the European Nucleotide Archive respectively. We conclude that DNA sequencing of pooled samples of large numbers of bacterial strains is a robust, rapid and cost-efficient way to discover sequence variation.
dc.identifier.jour-issn2045-2322
dc.identifier.olddbid188796
dc.identifier.oldhandle10024/171890
dc.identifier.urihttps://www.utupub.fi/handle/11111/56009
dc.identifier.urnURN:NBN:fi-fe2021042716717
dc.language.isoen
dc.okm.affiliatedauthorVuopio, Jaana
dc.okm.discipline3111 Biomedicineen_GB
dc.okm.discipline3111 Biolääketieteetfi_FI
dc.okm.internationalcopublicationinternational co-publication
dc.okm.internationalityInternational publication
dc.okm.typeA1 ScientificArticle
dc.publisherNATURE PUBLISHING GROUP
dc.publisher.countryUnited Kingdomen_GB
dc.publisher.countryBritanniafi_FI
dc.publisher.country-codeGB
dc.relation.articlenumberARTN 45771
dc.relation.doi10.1038/srep45771
dc.relation.ispartofjournalScientific Reports
dc.relation.volume7
dc.source.identifierhttps://www.utupub.fi/handle/10024/171890
dc.titleSequence analysis of pooled bacterial samples enables identification of strain variation in group A streptococcus
dc.year.issued2017

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