| Literature DB >> 35384831 |
Kedibone M Ndlangisa1, Mignon du Plessis1,2, Stephanie Lo3, Linda de Gouveia1, Chrispin Chaguza3, Martin Antonio4, Brenda Kwambana-Adams5,6, Jennifer Cornick7, Dean B Everett7,8, Ron Dagan9, Paulina A Hawkins10,11, Bernard Beall11, Alejandra Corso12, Samanta Cristine Grassi Almeida13, Theresa J Ochoa14, Stephen Obaro15, Sadia Shakoor16, Eric S Donkor17, Rebecca A Gladstone3, Pak Leung Ho18, Metka Paragi19, Sanjay Doiphode20, Somporn Srifuengfung21, Rebecca Ford22, Jennifer Moïsi23, Samir K Saha24, Godfrey Bigogo25, Betuel Sigauque26, Özgen Köseoglu Eser27, Naima Elmdaghri28, Leonid Titov29, Paul Turner30, K L Ravi Kumar31, Rama Kandasamy32, Ekaterina Egorova33, Margaret Ip34, Robert F Breiman35, Keith P Klugman2,36, Lesley McGee11, Stephen D Bentley3, Anne von Gottberg1,2.
Abstract
Pneumococcal serotype 35B is an important non-conjugate vaccine (non-PCV) serotype. Its continued emergence, post-PCV7 in the USA, was associated with expansion of a pre-existing 35B clone (clonal complex [CC] 558) along with post-PCV13 emergence of a non-35B clone previously associated with PCV serotypes (CC156). This study describes lineages circulating among 35B isolates in South Africa before and after PCV introduction. We also compared 35B isolates belonging to a predominant 35B lineage in South Africa (GPSC5), with isolates belonging to the same lineage in other parts of the world. Serotype 35B isolates that caused invasive pneumococcal disease in South Africa in 2005-2014 were characterized by whole-genome sequencing (WGS). Multi-locus sequence types and global pneumococcal sequence clusters (GPSCs) were derived from WGS data of 63 35B isolates obtained in 2005-2014. A total of 262 isolates that belong to GPSC5 (115 isolates from South Africa and 147 from other countries) that were sequenced as part of the global pneumococcal sequencing (GPS) project were included for comparison. Serotype 35B isolates from South Africa were differentiated into seven GPSCs and GPSC5 was most common (49 %, 31/63). While 35B was the most common serotype among GPSC5/CC172 isolates in South Africa during the PCV13 period (66 %, 29/44), 23F was the most common serotype during both the pre-PCV (80 %, 37/46) and PCV7 period (32 %, 8/25). Serotype 35B represented 15 % (40/262) of GPSC5 isolates within the global GPS database and 75 % (31/40) were from South Africa. The predominance of the GPSC5 lineage within non-vaccine serotype 35B, is possibly unique to South Africa and warrants further molecular surveillance of pneumococci.Entities:
Keywords: South Africa; Streptococcus pneumoniae; global pneumococcal sequence cluster; serotype 35B
Mesh:
Substances:
Year: 2022 PMID: 35384831 PMCID: PMC9453074 DOI: 10.1099/mgen.0.000746
Source DB: PubMed Journal: Microb Genom ISSN: 2057-5858
Fig. 1.Invasive pneumococcal disease cases and isolates obtained from 2005 through 2014 among South African (a) children <5 years and (b) individuals ≥5 years old.
Fig. 2.Distribution of penicillin non-susceptible and susceptible serotype 35B pneumococcal isolates causing invasive disease in South Africa among (a) children <5 years old (N=104) during the pre-PCV (2005–2008) (n=17), PCV7 (2009–2010) (n=16) and PCV13 (2011–2014) period (n=71) and (b) patients ≥5 years old (N=158) during the pre-PCV (2005–2008) (n=48), PCV7 (2009–2010) (n=20) and PCV13 (2011–2014) period (n=90).
Fig. 3.Distribution of global pneumococcal sequence clusters (GPSCs), clonal complexes (CC) and sequence types (STs) among 63 serotype 35B isolates causing invasive disease in South Africa during the pre-PCV (2005–2008) (n=24), PCV7 (2009–2010) (n=2) and PCV13 (2011–2014) period (n=37).
Fig. 4.Phylogeny of GPSC5 (CC172) isolates causing invasive disease in South Africa (N=115) during the pre-PCV (2005–2008) (n=46), PCV7 (2009–2010) (n=25), and PCV13 (2011–2014) (n=44) period. Leaf nodes on the tree are colour coded according to serotype. Microreact: https://microreact.org/project/M-plmPZP5.
Fig. 5.Phylogeny of GPSC5 isolates (N=262) causing pneumococcal disease globally, 2005–2014. Leaf nodes on the tree are colour coded according to serotype, only nodes for isolates from South Africa are shown.