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Evaluating methods for identifying and quantifying Streptococcus pneumoniae co-colonization using next-generation sequencing data.

Hackman, J; Hibberd, ML; Swarthout, TD; Hinds, J; Ashall, J; Sheppard, C; Tonkin-Hill, G; Gould, K; Brown, C; Msefula, J; et al. Hackman, J; Hibberd, ML; Swarthout, TD; Hinds, J; Ashall, J; Sheppard, C; Tonkin-Hill, G; Gould, K; Brown, C; Msefula, J; Mataya, AA; Toizumi, M; Yoshida, L-M; French, N; Heyderman, RS; Flasche, S; Kwambana, B; Hué, S (2024) Evaluating methods for identifying and quantifying Streptococcus pneumoniae co-colonization using next-generation sequencing data. Microbiol Spectr. e0364323. ISSN 2165-0497 https://doi.org/10.1128/spectrum.03643-23
SGUL Authors: Hinds, Jason Gould, Katherine Ann

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Abstract

Detection of multiple pneumococcal serotype carriage can enhance monitoring of pneumococcal vaccine impact, particularly among high-burden childhood populations. We assessed methods for identifying co-carriage of pneumococcal serotypes from whole-genome sequences. Twenty-four nasopharyngeal samples were collected during community carriage surveillance from healthy children in Blantyre, Malawi, which were then serotyped by microarray. Pneumococcal DNA from culture plate sweeps were sequenced using Illumina MiSeq, and genomic serotyping was carried out using SeroCall and PneumoKITy. Their sensitivity was calculated in reference to the microarray data. Local maxima in the single-nucleotide polymorphism (SNP) density distributions were assessed for their correspondence to the relative abundance of serotypes. Across the 24 individuals, the microarray detected 77 non-unique serotypes, of which 42 occurred at high relative abundance (>10%) (per individual, median, 3; range, 1-6 serotypes). The average sequencing depth was 57X (range: 21X-88X). The sensitivity of SeroCall for identifying high-abundance serotypes was 98% (95% CI, 0.87-1.00), 20% (0.08-0.36) for low abundance (<10%), and 62% (0.50-0.72) overall. PneumoKITy's sensitivity was 86% (0.72-0.95), 20% (0.06-0.32), and 56% (0.42-0.65), respectively. Local maxima in the SNP frequency distribution were highly correlated with the relative abundance of high-abundance serotypes. Six samples were resequenced, and the pooled runs had an average fourfold increase in sequencing depth. This allowed genomic serotyping of two of the previously undetectable seven low-abundance serotypes. Genomic serotyping is highly sensitive for the detection of high-abundance serotypes in samples with co-carriage. Serotype-associated reads may be identified through SNP frequency, and increased read depth can increase sensitivity for low-abundance serotype detection.IMPORTANCEPneumococcal carriage is a prerequisite for invasive pneumococcal disease, which is a leading cause of childhood pneumonia. Multiple carriage of unique pneumococcal serotypes at a single time point is prevalent among high-burden childhood populations. This study assessed the sensitivity of different genomic serotyping methods for identifying pneumococcal serotypes during co-carriage. These methods were evaluated against the current gold standard for co-carriage detection. The results showed that genomic serotyping methods have high sensitivity for detecting high-abundance serotypes in samples with co-carriage, and increasing sequencing depth can increase sensitivity for low-abundance serotypes. These results are important for monitoring vaccine impact, which aims to reduce the prevalence of specific pneumococcal serotypes. By accurately detecting and identifying multiple pneumococcal serotypes in carrier populations, we can better evaluate the effectiveness of vaccination programs.

Item Type: Article
Additional Information: © 2024 Hackman et al. This is an open-access article distributed under the terms of the Creative Commons Attribution 4.0 International license (https://creativecommons.org/licenses/by/4.0/).
Keywords: Africa, Streptococcus pneumoniae, co-carriage, microarray, pneumococcus, sequencing, serotyping
SGUL Research Institute / Research Centre: Academic Structure > Infection and Immunity Research Institute (INII)
Journal or Publication Title: Microbiol Spectr
ISSN: 2165-0497
Language: eng
Dates:
DateEvent
5 November 2024Published Online
28 March 2024Accepted
Publisher License: Creative Commons: Attribution 4.0
Projects:
Project IDFunderFunder ID
UNSPECIFIEDJapanese Ministry of Education, Culture, Sports, Science and TechnologyUNSPECIFIED
UNSPECIFIEDWISE schemeUNSPECIFIED
QLG4-CT-2000- 00640European UnionUNSPECIFIED
208812/Z/17/ZWellcome Trusthttp://dx.doi.org/10.13039/100004440
208812/Z/17/ZRoyal Societyhttp://dx.doi.org/10.13039/501100000288
OPP117653Bill and Melinda Gates Foundationhttp://dx.doi.org/10.13039/100000865
UNSPECIFIEDMedical Research Councilhttp://dx.doi.org/10.13039/501100000265
UNSPECIFIEDDepartment for International Developmenthttp://dx.doi.org/10.13039/501100000278
MR/N023129/1Medical Research Councilhttp://dx.doi.org/10.13039/501100000265
106846/Z/15/ZWellcome Trusthttp://dx.doi.org/10.13039/100004440
206545/Z/17/ZWellcome Trusthttp://dx.doi.org/10.13039/100004440
16/136/46National Institute for Health Researchhttp://dx.doi.org/10.13039/501100000272
2999131Research Council of NorwayUNSPECIFIED
PubMed ID: 39499074
Go to PubMed abstract
URI: https://openaccess.sgul.ac.uk/id/eprint/116938
Publisher's version: https://doi.org/10.1128/spectrum.03643-23

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