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Modern Molecular Taxonomy01:29

Modern Molecular Taxonomy

Advancements in molecular biology have revolutionized the identification and characterization of bacteria, with multiple methods leveraging DNA sequencing for enhanced precision. As sequencing technologies improve and costs decline, these approaches are increasingly used in clinical, environmental, and evolutionary studies.Multilocus Sequence Typing (MLST) examines several housekeeping genes, essential chromosomal genes encoding cellular functions, to distinguish strains. Approximately...
Applications of Molecular Taxonomy01:20

Applications of Molecular Taxonomy

Molecular taxonomy has revolutionized the understanding and classification of bacteria, providing precise insights into their diversity, evolutionary relationships, and ecological roles. By utilizing molecular techniques such as DNA sequencing and fingerprinting, researchers have made significant strides in various fields related to bacterial studies.Resolving Taxonomic AmbiguitiesMolecular taxonomy has been instrumental in distinguishing closely related bacterial species initially thought to...

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Related Experiment Video

Updated: May 16, 2026

Amplicon Sequencing using the Long-Read Sequencing Technologies
08:57

Amplicon Sequencing using the Long-Read Sequencing Technologies

Published on: August 29, 2025

Accurate diagnostics for Bovine tuberculosis based on high-throughput sequencing.

Alexander Churbanov1, Brook Milligan

  • 1Beijing Institute of Genomics (BIG), Chinese Academy of Sciences, Beijing, China. alexander@big.ac.cn

Plos One
|December 11, 2012
PubMed
Summary
This summary is machine-generated.

Accurate bovine tuberculosis (bTB) diagnosis is crucial for cattle health. This study uses RNA-Seq to identify key genes, achieving over 99% accuracy in detecting bTB early, improving diagnostics for livestock.

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Last Updated: May 16, 2026

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Published on: August 29, 2025

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Published on: November 28, 2016

Matrix-based DNA Extraction for Targeted Next-Generation Sequencing on Decontaminated Sputum Samples
06:07

Matrix-based DNA Extraction for Targeted Next-Generation Sequencing on Decontaminated Sputum Samples

Published on: June 6, 2025

Area of Science:

  • Veterinary Immunology
  • Genomics
  • Livestock Disease Diagnostics

Background:

  • Bovine tuberculosis (bTB) causes significant global livestock losses, persisting despite eradication efforts.
  • Current diagnostic methods (skin tests, interferon-γ assays) have limitations in sensitivity and specificity, hindering complete eradication.
  • Early and reliable diagnostics are essential to manage bTB, especially given its reemergence from wildlife reservoirs.

Purpose of the Study:

  • To identify a comprehensive panel of immune response genes associated with bovine tuberculosis (bTB) using high-throughput sequencing.
  • To develop and evaluate a reliable bTB classification framework based on RNA-Seq data from peripheral blood mononuclear cells (PBMCs).

Main Methods:

  • High-throughput sequencing of PBMCs transcriptome from healthy and bTB-infected cattle at different disease stages.
  • Splice-alignment of over 90 million RNA-Seq reads against the reference genome.
  • Differential gene expression analysis to identify genes responding to bTB infection.

Main Results:

  • Identified 2,312 differentially expressed genes in response to bTB infection (p<10(-8)).
  • Achieved over 99% accuracy in classifying bTB infected status using split-sample validation.
  • Demonstrated accurate diagnosis of early-stage bTB using RNA-Seq data.

Conclusions:

  • RNA-Seq high-throughput sequencing enables accurate diagnosis of early-stage bovine tuberculosis (bTB).
  • Incorporating multiple genes and leveraging RNA-Seq's sensitivity and dynamic range can enhance diagnostic accuracy.
  • The developed computational pipeline is available for use in bTB prediction.