基因组
计算生物学
生物
严重急性呼吸综合征冠状病毒2型(SARS-CoV-2)
计算机科学
2019年冠状病毒病(COVID-19)
遗传学
基因
传染病(医学专业)
医学
病理
疾病
作者
Zachery W. Dickson,Dirk Hackenberger,Melanie Kuch,Art Marzok,Arinjay Banerjee,Laura Rossi,Jennifer Ann Klowak,Alison Fox‐Robichaud,Karen Mossmann,Matthew S. Miller,Michael G. Surette,G. Brian Golding,Hendrik N. Poinar
标识
DOI:10.1016/j.crmeth.2021.100069
摘要
The compounding challenges of low signal, high background, and uncertain targets plague many metagenomic sequencing efforts. One solution has been DNA capture, wherein probes are designed to hybridize with target sequences, enriching them in relation to their background. However, balancing probe depth with breadth of capture is challenging for diverse targets. To find this balance, we have developed the HUBDesign pipeline, which makes use of sequence homology to design probes at multiple taxonomic levels. This creates an efficient probe set capable of simultaneously and specifically capturing known and related sequences. We validated HUBDesign by generating probe sets targeting the breadth of coronavirus diversity, as well as a suite of bacterial pathogens often underlying sepsis. In separate experiments demonstrating significant, simultaneous enrichment, we captured SARS-CoV-2 and HCoV-NL63 in a human RNA background and seven bacterial strains in human blood. HUBDesign (https://github.com/zacherydickson/HUBDesign) has broad applicability wherever there are multiple organisms of interest.
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