马肉瘤中绵羊乳头瘤病毒 DNA 的分子检测和定量

F. De Falco, Anna Cutarelli, Roberta Pellicanò, Sabine Brandt, S. Roperto
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摘要

马肉瘤病是由牛乳头状瘤病毒(BPV)1、2 型以及可能的 13 型感染引起的。然而,许多肉瘤缺乏 BPV DNA,因此需要考虑肉瘤病的新潜在病原体。研究人员利用高性能数字液滴聚合酶链反应(ddPCR)对奥地利收集的 63 份肉瘤 DNA 样本中的 1-4 型卵乳头瘤病毒(OaPV)DNA 进行了定量检测。通过 qPCR 对所有样本的 OaPV DNA 负载进行了比较评估。常规 PCR 和扩增子测序用于验证数据。在 63 个肉样瘤 DNA 分离物中,ddPCR 能够检测出 22 个携带 OaPV DNA 的样本(34.92%),而 qPCR 只能检测出 5 个 OaPV 阳性样本(22.72%)。ddPCR 和 qPCR 的检测结果差异有统计学意义(p<0.05)。检测到的 OaPV 类型为 OaPV1、3 和 4。两种方法都未能检测到 OaPV2 DNA,这可能是由于检测的样本数量有限。重要的是,ddPCR 在 7 个病例中检测到了多种类型的 OaPV DNA,而 qPCR 则未能检测到多重感染。这项研究首次提供了马肉瘤中存在 OaPV 1、3 和 4 型 DNA 的证据。这种比较检测方法强调了 ddPCR 比 qPCR 更为灵敏。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Molecular Detection and Quantification of Ovine Papillomavirus DNA in Equine Sarcoid
Equine sarcoids are caused by infection with bovine papillomavirus (BPV) types 1, 2, and possibly 13. However, a number of sarcoids lack BPV DNA, and new potential etiological agents for sarcoid diseases need to be considered. High-performance digital droplet polymerase chain reaction (ddPCR) was used for the quantitative detection of ovine papillomavirus (OaPV) types 1–4 DNA from 63 sarcoid DNA samples collected in Austria. All samples were comparatively evaluated for OaPV DNA loads by qPCR. Conventional PCR and amplicon sequencing were used to validate the data. Of the 63 sarcoid DNA isolates, ddPCR was able to detect 22 samples harboring OaPV DNA (34.92%), whereas only five of the OaPV-positive samples were revealed by qPCR (22.72%). The differences in detection by ddPCR and qPCR were statistically significant (p<0.05). The detected OaPV types were OaPV1, 3, and 4. Both methods failed to detect OaPV2 DNA, which could be due to the limited number of examined samples. Importantly, ddPCR detected multiple types of OaPV DNA in seven cases, whereas the qPCR failed to detect multiple infections. This study is the first to provide evidence of the presence of OaPV types 1, 3, and 4 DNA in a subset of equine sarcoids. The comparative detection approach underscores the superior sensitivity of ddPCR compared to that of qPCR.
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