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评估使用下一代测序数据识别和量化共定植的方法。

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

作者信息

Hackman Jada, Hibberd Martin L, Swarthout Todd D, Hinds Jason, Ashall James, Sheppard Carmen, Tonkin-Hill Gerry, Gould Kate, Brown Comfort, Msefula Jacquline, Mataya Andrew A, Toizumi Michiko, Yoshida Lay-Myint, French Neil, Heyderman Robert S, Flasche Stefan, Kwambana Brenda, Hué Stéphane

机构信息

Faculty of Epidemiology and Population Health, Department of Infectious Disease Epidemiology, The London School of Hygiene and Tropical Medicine, London, United Kingdom.

Department of Pediatric Infectious Diseases, Institute of Tropical Medicine, Nagasaki University, Nagasaki, Japan.

出版信息

Microbiol Spectr. 2024 Nov 5;12(12):e0364323. doi: 10.1128/spectrum.03643-23.

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.

摘要

检测多种肺炎球菌血清型携带情况可加强对肺炎球菌疫苗影响的监测,尤其是在高负担儿童群体中。我们评估了从全基因组序列中识别肺炎球菌血清型共同携带的方法。在马拉维布兰太尔对健康儿童进行社区携带情况监测期间,收集了24份鼻咽样本,然后通过微阵列进行血清分型。使用Illumina MiSeq对培养平板刮取物中的肺炎球菌DNA进行测序,并使用SeroCall和PneumoKITy进行基因组血清分型。参照微阵列数据计算它们的灵敏度。评估单核苷酸多态性(SNP)密度分布中的局部最大值与血清型相对丰度的对应关系。在这24名个体中,微阵列检测到77种非唯一血清型,其中42种以高相对丰度(>10%)出现(每个个体中,中位数为3种;范围为1 - 6种血清型)。平均测序深度为57X(范围:21X - 88X)。SeroCall识别高丰度血清型的灵敏度为98%(95%置信区间,0.87 - 1.00),识别低丰度(<10%)血清型的灵敏度为20%(0.08 - 0.36),总体灵敏度为62%(0.50 - 0.72)。PneumoKITy的灵敏度分别为86%(0.72 - 0.95)、20%(0.06 - 0.32)和56%(0.42 - 0.65)。SNP频率分布中的局部最大值与高丰度血清型的相对丰度高度相关。对6个样本进行了重新测序,合并后的测序深度平均增加了四倍。这使得之前7种无法检测到的低丰度血清型中的两种能够进行基因组血清分型。基因组血清分型对于检测共同携带样本中的高丰度血清型具有高度敏感性。可通过SNP频率识别血清型相关的 reads,增加 reads 深度可提高对低丰度血清型检测的灵敏度。

重要性

肺炎球菌携带是侵袭性肺炎球菌疾病的先决条件,侵袭性肺炎球菌疾病是儿童肺炎的主要病因。在高负担儿童群体中,单个时间点多种独特肺炎球菌血清型的共同携带情况很普遍。本研究评估了不同基因组血清分型方法在识别共同携带期间肺炎球菌血清型方面的灵敏度。这些方法与当前共同携带检测的金标准进行了对比评估。结果表明,基因组血清分型方法对于检测共同携带样本中的高丰度血清型具有高灵敏度,增加测序深度可提高对低丰度血清型的灵敏度。这些结果对于监测疫苗影响很重要,疫苗影响旨在降低特定肺炎球菌血清型的流行率。通过准确检测和识别携带者群体中的多种肺炎球菌血清型,我们可以更好地评估疫苗接种计划的有效性。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3c70/11619295/f5b91b7efa1f/spectrum.03643-23.f001.jpg

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