双王国内克罗毕组继承延长了死后间隔估计到骨架化.
Elie Pascolo Tièche1, Lara Indra2, Alexandre Gouy3
1Department of Forensic Molecular Biology, Institute of Forensic Medicine, University of Bern, Bern 3008, Switzerland; Institute of Ecology and Evolution, University of Bern, Bern 3012, Switzerland.
Forensic science international. Genetics
|February 6, 2026
概括
腐烂的遗骸中的微生物群落就像分子钟一样,准确地估计了几个月的死后间隔 (PMI),甚至到骨化. 这扩展了法医学能力,超出了用于高级分解病例的传统方法.
科学领域:
- 法医科学 法医科学 法医科学
- 微生物学 微生物学
- 生物信息学是一种生物信息学.
背景情况:
- 随着分解的进展,传统的死后间隔 (PMI) 估计方法失去了准确性.
- 先进的分解阶段,特别是骨化,对确定死亡以来的时间提出了重大挑战.
研究的目的:
- 调查微生物社区继承作为PMI估计的分子钟的潜力.
- 评估细菌和真菌群体在口腔样本和墓地腐烂过程中的时间分离.
- 开发机器学习模型,整合微生物和形态数据,以提高PMI预测.
主要方法:
- 在猪口腔样本和土中对细菌和真菌群体的全长安普利康测序超过5个月.
- 追踪微生物继承模式,并将其与形态分解评分相关联.
- 开发和评估PMI和累积学位日 (ADD) 预测的机器学习模型.
主要成果:
- 观察到一致的三相微生物继承 (破坏,殖民,稳定),与分解阶段保持一致.
- 微生物继承提供了超越形态指标的时间分辨率,甚至到骨化.
- 整合微生物数据的机器学习模型实现了强大的PMI和ADD预测,在分解阶段 (细菌早期,双王国中间,真菌晚期) 的性能不同.
结论:
- 遗传生物组的继承作为一个可靠的分子时钟来估计PMI,将能力延长几个月.
- 双王国微生物分析为先进的分解病例提供了一个强大的框架,在传统方法不足的情况下.
- 特定的微生物种群可以在整个分解过程中充当可靠的时间指标.
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