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超基因组测序可以在监测样本的PCR负子集中识别潜在的呼吸道病原体

Anne Caroline Mascarenhas¹, Rose S Kantor¹, James Thissen¹

¹Physical and Life Sciences Division, Lawerence Livermore National Laboratory, Livermore, CA, USA.

Scientific reports

|February 16, 2026

概括

基因组测序确定了常见的呼吸道病毒,包括C型流感和人类口腔病毒,这些病毒在样本中通过标准测试呈阴性. 这种方法提高了病原体监测超出多重核酸放大试验 (NAATs).

科学领域:

传染性疾病传染性疾病
基因组学就是基因组学.
公共卫生监督公共卫生监督

背景情况:

呼吸道病原体对全球健康和经济造成重大负担.
随着COVID-19的流行,人们越来越关注呼吸系统疾病的监测.
多重核酸放大测试 (NAAT) 像BioFire呼吸系统面板 (RP) 检测到常见的呼吸道病原体.

研究的目的:

通过标准诊断测试评估非向的元基因组测序,以识别通过标准诊断测试呈阴性样本中的呼吸道病原体.
评估元基因组学对病原体发现和基因组流行病学的有用性.
扩大病原体监测范围,超越多重NAAT能力.

主要方法:

在305个BioFire RP阴性样本和26个阳性样本上进行了非向的元基因组测序.
针对人类病毒的样本捕获丰富测序用于78个样本的子集.
基因组流行病学和变种跟踪是基因组恢复所实现的.

主要成果:

人类呼吸道病毒在5%的先前阴性样本中被发现.
流感C病毒,人类口腔病毒,甲状腺病毒A和C以及SARS-CoV-2是检测到的最常见的病毒.
对14种病毒的共识基因组得到恢复,揭示了菌株多样性和地理集群. 在21个样本中也发现了占主导地位的细菌或真菌.

结论:

甲基因组测序对于识别多重NAAT遗漏的病原体非常有价值.
这种方法有助于了解NAAT阴性病例中呼吸道疾病的病因.
甲基因组学显著提高了病原体监测和基因组流行病学能力.

关键词:

基因组监测是指基因组的监测.转基因组学是指转基因组学.病原体检测检测病原体检测采样采集 - 采样采集呼吸道病毒感染者

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