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Article: Visualizing variation within Global Pneumococcal Sequence Clusters (GPSCs) and country population snapshots to contextualize pneumococcal isolates

TitleVisualizing variation within Global Pneumococcal Sequence Clusters (GPSCs) and country population snapshots to contextualize pneumococcal isolates
Authors
KeywordsStreptococcus pneumoniae
pneumococcal
whole genome sequencing
population structure
recombination
Issue Date2020
PublisherThe Microbiology Society: OAJ. The Journal's web site is located at https://www.microbiologyresearch.org/content/journal/mgen
Citation
Microbial Genomics, 2020, v. 6 n. 5, p. article no. e000357 How to Cite?
AbstractKnowledge of pneumococcal lineages, their geographic distribution and antibiotic resistance patterns, can give insights into global pneumococcal disease. We provide interactive bioinformatic outputs to explore such topics, aiming to increase dissemination of genomic insights to the wider community, without the need for specialist training. We prepared 12 country-specific phylogenetic snapshots, and international phylogenetic snapshots of 73 common Global Pneumococcal Sequence Clusters (GPSCs) previously defined using PopPUNK, and present them in Microreact. Gene presence and absence defined using Roary, and recombination profiles derived from Gubbins are presented in Phandango for each GPSC. Temporal phylogenetic signal was assessed for each GPSC using BactDating. We provide examples of how such resources can be used. In our example use of a country-specific phylogenetic snapshot we determined that serotype 14 was observed in nine unrelated genetic backgrounds in South Africa. The international phylogenetic snapshot of GPSC9, in which most serotype 14 isolates from South Africa were observed, highlights that there were three independent sub-clusters represented by South African serotype 14 isolates. We estimated from the GPSC9-dated tree that the sub-clusters were each established in South Africa during the 1980s. We show how recombination plots allowed the identification of a 20 kb recombination spanning the capsular polysaccharide locus within GPSC97. This was consistent with a switch from serotype 6A to 19A estimated to have occured in the 1990s from the GPSC97-dated tree. Plots of gene presence/absence of resistance genes (tet, erm, cat) across the GPSC23 phylogeny were consistent with acquisition of a composite transposon. We estimated from the GPSC23-dated tree that the acquisition occurred between 1953 and 1975. Finally, we demonstrate the assignment of GPSC31 to 17 externally generated pneumococcal serotype 1 assemblies from Utah via Pathogenwatch. Most of the Utah isolates clustered within GPSC31 in a USA-specific clade with the most recent common ancestor estimated between 1958 and 1981. The resources we have provided can be used to explore to data, test hypothesis and generate new hypotheses. The accessible assignment of GPSCs allows others to contextualize their own collections beyond the data presented here.
Persistent Identifierhttp://hdl.handle.net/10722/293401
ISSN
2023 Impact Factor: 4.0
2023 SCImago Journal Rankings: 1.338
PubMed Central ID
ISI Accession Number ID

 

DC FieldValueLanguage
dc.contributor.authorGladstone, RA-
dc.contributor.authorLo, SW-
dc.contributor.authorGoater, R-
dc.contributor.authorYeats, C-
dc.contributor.authorTaylor, B-
dc.contributor.authorHadfield, J-
dc.contributor.authorLees, JA-
dc.contributor.authorCroucher, NJ-
dc.contributor.authorvan Tonder, AJ-
dc.contributor.authorBentley, LJ-
dc.contributor.authorQuah, FX-
dc.contributor.authorBlaschke, AJ-
dc.contributor.authorPershing, NL-
dc.contributor.authorByington, CL-
dc.contributor.authorBalaji, V-
dc.contributor.authorHryniewicz, W-
dc.contributor.authorSigauque, B-
dc.contributor.authorRavikumar, KL-
dc.contributor.authorAlmeida, SCG-
dc.contributor.authorOchoa, TJ-
dc.contributor.authorHo, PL-
dc.contributor.authordu Plessis, M-
dc.contributor.authorNdlangisa, KM-
dc.contributor.authorCornick, JE-
dc.contributor.authorKwambana-Adams, B-
dc.contributor.authorBenisty, R-
dc.contributor.authorNzenze, SA-
dc.contributor.authorMadhi, SA-
dc.contributor.authorHawkins, PA-
dc.contributor.authorPollard, AJ-
dc.contributor.authorEverett, DB-
dc.contributor.authorAntonio, M-
dc.contributor.authorDagan, R-
dc.contributor.authorKlugman, KP-
dc.contributor.authorvon Gottberg, A-
dc.contributor.authorMetcalf, BJ-
dc.contributor.authorLi, Y-
dc.contributor.authorBeall, BW-
dc.contributor.authorMcGee, L-
dc.contributor.authorBreiman, RF-
dc.contributor.authorAanensen, DM-
dc.contributor.authorBentley, SD-
dc.contributor.authorThe Global Pneumococcal Sequencing Consortium-
dc.date.accessioned2020-11-23T08:16:13Z-
dc.date.available2020-11-23T08:16:13Z-
dc.date.issued2020-
dc.identifier.citationMicrobial Genomics, 2020, v. 6 n. 5, p. article no. e000357-
dc.identifier.issn2057-5858-
dc.identifier.urihttp://hdl.handle.net/10722/293401-
dc.description.abstractKnowledge of pneumococcal lineages, their geographic distribution and antibiotic resistance patterns, can give insights into global pneumococcal disease. We provide interactive bioinformatic outputs to explore such topics, aiming to increase dissemination of genomic insights to the wider community, without the need for specialist training. We prepared 12 country-specific phylogenetic snapshots, and international phylogenetic snapshots of 73 common Global Pneumococcal Sequence Clusters (GPSCs) previously defined using PopPUNK, and present them in Microreact. Gene presence and absence defined using Roary, and recombination profiles derived from Gubbins are presented in Phandango for each GPSC. Temporal phylogenetic signal was assessed for each GPSC using BactDating. We provide examples of how such resources can be used. In our example use of a country-specific phylogenetic snapshot we determined that serotype 14 was observed in nine unrelated genetic backgrounds in South Africa. The international phylogenetic snapshot of GPSC9, in which most serotype 14 isolates from South Africa were observed, highlights that there were three independent sub-clusters represented by South African serotype 14 isolates. We estimated from the GPSC9-dated tree that the sub-clusters were each established in South Africa during the 1980s. We show how recombination plots allowed the identification of a 20 kb recombination spanning the capsular polysaccharide locus within GPSC97. This was consistent with a switch from serotype 6A to 19A estimated to have occured in the 1990s from the GPSC97-dated tree. Plots of gene presence/absence of resistance genes (tet, erm, cat) across the GPSC23 phylogeny were consistent with acquisition of a composite transposon. We estimated from the GPSC23-dated tree that the acquisition occurred between 1953 and 1975. Finally, we demonstrate the assignment of GPSC31 to 17 externally generated pneumococcal serotype 1 assemblies from Utah via Pathogenwatch. Most of the Utah isolates clustered within GPSC31 in a USA-specific clade with the most recent common ancestor estimated between 1958 and 1981. The resources we have provided can be used to explore to data, test hypothesis and generate new hypotheses. The accessible assignment of GPSCs allows others to contextualize their own collections beyond the data presented here.-
dc.languageeng-
dc.publisherThe Microbiology Society: OAJ. The Journal's web site is located at https://www.microbiologyresearch.org/content/journal/mgen-
dc.relation.ispartofMicrobial Genomics-
dc.rightsThis work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.-
dc.subjectStreptococcus pneumoniae-
dc.subjectpneumococcal-
dc.subjectwhole genome sequencing-
dc.subjectpopulation structure-
dc.subjectrecombination-
dc.titleVisualizing variation within Global Pneumococcal Sequence Clusters (GPSCs) and country population snapshots to contextualize pneumococcal isolates-
dc.typeArticle-
dc.identifier.emailHo, PL: plho@hku.hk-
dc.identifier.authorityHo, PL=rp00406-
dc.description.naturepublished_or_final_version-
dc.identifier.doi10.1099/mgen.0.000357-
dc.identifier.pmid32375991-
dc.identifier.pmcidPMC7371119-
dc.identifier.scopuseid_2-s2.0-85085904716-
dc.identifier.hkuros319291-
dc.identifier.volume6-
dc.identifier.issue5-
dc.identifier.spagearticle no. e000357-
dc.identifier.epagearticle no. e000357-
dc.identifier.isiWOS:000541680100003-
dc.publisher.placeUnited Kingdom-
dc.identifier.issnl2057-5858-

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