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用于靶向常见单核苷酸多态性的高度多重分子倒置探针面板近似于用于选择和亲缘关系的全基因组测序评估。

Highly multiplexed molecular inversion probe panel in targeting common SNPs approximates whole-genome sequencing assessments for selection and relatedness.

作者信息

Niaré Karamoko, Crudale Rebecca, Fola Abebe A, Wernsman Young Neeva, Asua Victor, Conrad Melissa D, Gashema Pierre, Ghansah Anita, Hangi Stan, Ishengoma Deus S, Mazarati Jean-Baptiste, Zeleke Ayalew Jejaw, Rosenthal Philip J, Djimdé Abdoulaye A, Juliano Jonathan J, Bailey Jeffrey A

机构信息

Department of Pathology and Laboratory Medicine, Brown University, Providence, RI, United States.

Center for Computational Molecular Biology, Brown University, Providence, RI, United States.

出版信息

Front Genet. 2025 Jun 12;16:1526049. doi: 10.3389/fgene.2025.1526049. eCollection 2025.

Abstract

INTRODUCTION

The use of next-generation sequencing technologies (NGS) to study parasite populations and their response and evolution to interventions is important to support malaria control and elimination efforts. While whole-genome sequencing (WGS) is optimal in terms of assessing the entire genome, it is costly for numerous samples. Targeted approaches selectively enriching for the sequence of interest are more affordable and have higher throughput but sometimes lack adequate information content for key analyses.

METHODS

We have developed a highly multiplexed molecular inversion probe (MIP) panel (IBC2FULL) targeting 4,264 single-nucleotide polymorphisms (SNPs) with ≥5% minor allele frequency (MAF) in Sub-Saharan African regions from publicly available WGS (n = 3,693). We optimized the panel alone and in combination with antimalarial drug resistance MIPs in laboratory strains at different parasitemias and validated it by sequencing field isolates from the Democratic Republic of Congo, Ethiopia, Ghana, Mali, Rwanda, Tanzania, and Uganda and evaluating the population structure, identity-by-descent (IBD), signals of selection, and complexity of infection (COI).

RESULTS

The new panel IBC2FULL consisted of 2,128 MIPs (containing 4,264 common SNPs) spaced by 5.1-18.4 kb across the entire genome. While these microhaplotypes were developed based on variations from Sub-Saharan African WGS data, 59.3% (2,529) of SNPs were also common in Southeast Asia. The MIPs were balanced to produce more a uniform and higher depth of coverage at low parasitemia (100 parasites/μL) along with MIPs targeting antimalarial drug resistance genes. Comparing targeted regions extracted from public WGS, we observed that IBC2FULL provided a higher resolution of the local population structure in Sub-Saharan Africa than current PCR-based targeted sequencing panels. For sequencing field samples (n = 140), IBC2FULL approximated WGS measures of relatedness, population structure, and COI. Interestingly, genome-wide analysis of extended haplotype homozygosity detected the same major peaks of selection as WGS. We also chose a subset of 305 high-performing MIPs to create a core panel (IBC2CORE) that produced high-quality data for basic population genomic analysis and accurate estimation of COI.

DISCUSSION

IBC2FULL and IBC2CORE panels have been designed to provide an improved platform for malaria genomic epidemiology and biology that can approximate WGS for many applications and is deployable for malaria molecular surveillance in resource-limited settings.

摘要

引言

利用新一代测序技术(NGS)研究寄生虫种群及其对干预措施的反应和进化,对于支持疟疾控制和消除工作至关重要。虽然全基因组测序(WGS)在评估整个基因组方面是最优的,但对大量样本来说成本高昂。靶向方法选择性富集感兴趣的序列更经济实惠且通量更高,但有时缺乏关键分析所需的足够信息内容。

方法

我们开发了一种高度多重分子倒置探针(MIP)面板(IBC2FULL),靶向撒哈拉以南非洲地区公开可用的WGS(n = 3,693)中次要等位基因频率(MAF)≥5%的4,264个单核苷酸多态性(SNP)。我们单独优化了该面板,并在不同寄生虫血症的实验室菌株中与抗疟药耐药性MIP联合优化,通过对来自刚果民主共和国、埃塞俄比亚、加纳、马里、卢旺达、坦桑尼亚和乌干达的现场分离株进行测序,并评估种群结构、同源性(IBD)、选择信号和感染复杂性(COI)来验证它。

结果

新的IBC2FULL面板由2,128个MIP组成(包含4,264个常见SNP),在整个基因组中相隔5.1 - 18.4 kb。虽然这些微单倍型是基于撒哈拉以南非洲WGS数据的变异开发的,但59.3%(2,529)的SNP在东南亚也很常见。这些MIP经过平衡,以便在低寄生虫血症(100个寄生虫/μL)时产生更均匀、更高深度的覆盖,同时还有靶向抗疟药耐药基因的MIP。比较从公共WGS提取的靶向区域,我们观察到IBC2FULL在撒哈拉以南非洲提供了比当前基于PCR的靶向测序面板更高分辨率的当地种群结构。对于测序现场样本(n = 140),IBC2FULL接近WGS的亲缘关系、种群结构和COI测量值。有趣的是,全基因组扩展单倍型纯合性分析检测到与WGS相同的主要选择峰。我们还选择了305个高性能MIP的子集来创建一个核心面板(IBC2CORE),该面板为基本种群基因组分析和COI的准确估计产生高质量数据。

讨论

IBC2FULL和IBC2CORE面板旨在为疟疾基因组流行病学和生物学提供一个改进的平台,该平台在许多应用中可近似WGS,并且可用于资源有限环境中的疟疾分子监测。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6b81/12198981/dd8aa4af2d5b/fgene-16-1526049-g001.jpg

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