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基于下一代测序和微阵列的阴道微生物菌群分析;微生物能否在法医环境中指示阴道来源?

Vaginal microbial flora analysis by next generation sequencing and microarrays; can microbes indicate vaginal origin in a forensic context?

机构信息

Netherlands Forensic Institute, Laan van Ypenburg 6, 2497GB, The Hague, The Netherlands.

出版信息

Int J Legal Med. 2012 Mar;126(2):303-10. doi: 10.1007/s00414-011-0660-8. Epub 2012 Jan 27.

Abstract

Forensic analysis of biological traces generally encompasses the investigation of both the person who contributed to the trace and the body site(s) from which the trace originates. For instance, for sexual assault cases, it can be beneficial to distinguish vaginal samples from skin or saliva samples. In this study, we explored the use of microbial flora to indicate vaginal origin. First, we explored the vaginal microbiome for a large set of clinical vaginal samples (n = 240) by next generation sequencing (n = 338,184 sequence reads) and found 1,619 different sequences. Next, we selected 389 candidate probes targeting genera or species and designed a microarray, with which we analysed a diverse set of samples; 43 DNA extracts from vaginal samples and 25 DNA extracts from samples from other body sites, including sites in close proximity of or in contact with the vagina. Finally, we used the microarray results and next generation sequencing dataset to assess the potential for a future approach that uses microbial markers to indicate vaginal origin. Since no candidate genera/species were found to positively identify all vaginal DNA extracts on their own, while excluding all non-vaginal DNA extracts, we deduce that a reliable statement about the cellular origin of a biological trace should be based on the detection of multiple species within various genera. Microarray analysis of a sample will then render a microbial flora pattern that is probably best analysed in a probabilistic approach.

摘要

生物痕迹的法医分析通常包括对产生痕迹的人和痕迹来源的身体部位(多个部位)进行调查。例如,在性侵犯案件中,区分阴道样本与皮肤或唾液样本可能会很有帮助。在这项研究中,我们探索了利用微生物菌群来指示阴道来源。首先,我们通过下一代测序(n = 338,184 个序列读段)对大量临床阴道样本(n = 240)进行了阴道微生物组研究,发现了 1,619 个不同的序列。接下来,我们选择了 389 个针对属或种的候选探针,并设计了一个微阵列,用它来分析各种样本;43 个来自阴道样本的 DNA 提取物和 25 个来自其他身体部位的 DNA 提取物,包括与阴道密切接触或接触的部位。最后,我们使用微阵列结果和下一代测序数据集来评估未来使用微生物标记物来指示阴道来源的方法的潜力。由于没有候选属/种被发现能够仅凭自身就能准确识别所有阴道 DNA 提取物,同时排除所有非阴道 DNA 提取物,我们推断,关于生物痕迹细胞来源的可靠声明应该基于对各种属中多个种的检测。然后,对样本的微阵列分析将产生一种微生物菌群模式,最好在概率方法中进行分析。

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