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Identification of Rare Bacterial Pathogens by 16S rRNA Gene Sequencing and MALDI-TOF MS

Identification of Rare Bacterial Pathogens by 16S rRNA Gene Sequencing and MALDI-TOF MS

Published on: July 11, 2016

Bacterial profile-based body fluid identification using a machine learning approach.

Sungmin Kim¹, Han Chul Lee², Jeong Eun Sim²

¹Forensic Genetics and Chemistry Division, Supreme Prosecutors' Office, 157 Banpo daero, Seocho gu, Seoul, 06590, Republic of Korea. kandury@gmail.com.

Genes & Genomics

|November 6, 2024

Summary

This summary is machine-generated.

Forensic science can now identify body fluids using bacterial DNA profiles, achieving over 98% accuracy. This novel method overcomes limitations of traditional techniques for crime scene investigations.

Keywords:

Bacterial profiles Body fluid identification DNA metabarcoding Machine learning

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Rapid Identification of Gram Negative Bacteria from Blood Culture Broth Using MALDI-TOF Mass Spectrometry

Rapid Identification of Gram Negative Bacteria from Blood Culture Broth Using MALDI-TOF Mass Spectrometry

Published on: May 28, 2014

Area of Science:

Forensic Science
Microbiology
Genetics

Background:

Crime scene reconstruction relies on identifying biological traces.
Traditional body fluid identification methods are sample-consuming and limited by insufficient residual samples after DNA extraction.

Purpose of the Study:

To develop a novel body fluid identification method using bacterial DNA profiling.
To overcome limitations of conventional forensic analysis techniques.

Main Methods:

Bacterial DNA profiling via sequencing the 16S rRNA gene hypervariable region.
DNA metabarcoding of evidence from criminal cases.
Analysis of amplicon sequence variants (ASVs) to identify microbial patterns.

Main Results:

A machine learning model (naïve Bayes) achieved over 98% accuracy in classifying four body fluid types.
High discriminatory power was demonstrated for bacterial profile-based identification.
Accurate classification of blood, saliva, vaginal secretions, and semen mixtures was achieved.

Conclusions:

Bacterial profiling offers enhanced accuracy and robustness for body fluid identification in forensic analysis.
This method provides a valuable alternative to traditional techniques, utilizing microbial community data.
Significant improvements in classification accuracy and practical applicability for forensic investigations were observed.