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Related Concept Videos

Microbial Nutrition01:28

Microbial Nutrition

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Organisms exhibit remarkable metabolic diversity, categorized based on how they acquire energy and carbon. These strategies enable survival in various ecological niches and are essential for maintaining energy flow and nutrient cycling within ecosystems.Energy and Carbon SourcesOrganisms are classified as phototrophs or chemotrophs based on energy acquisition. Phototrophs use light as their energy source, while chemotrophs rely on oxidizing chemical compounds. Further differentiation arises...
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Related Experiment Video

Updated: Jul 26, 2025

Purifying the Impure: Sequencing Metagenomes and Metatranscriptomes from Complex Animal-associated Samples
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Defining Microbial Community Functions in Chronic Human Infection with Metatranscriptomics.

Aanuoluwa E Adekoya1, Hoody A Kargbo1, Carolyn B Ibberson1

  • 1Department of Microbiology and Plant Biology, University of Oklahoma, Norman, OK 73019.

Biorxiv : the Preprint Server for Biology
|June 19, 2023
PubMed
Summary
This summary is machine-generated.

Chronic polymicrobial infections (cPMIs) show distinct bacterial functions. Understanding microbial community composition and function is crucial for developing effective treatment strategies for these complex infections.

Keywords:
chronic woundscystic fibrosishuman infectionmicrobial community functionstranscriptomics

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Area of Science:

  • Microbiology
  • Metagenomics
  • Infectious Diseases

Background:

  • Chronic polymicrobial infections (cPMIs) involve complex bacterial communities with unknown key functions.
  • Previous studies identified microbes but not the metabolic activities driving cPMIs.

Approach:

  • Analyzed 102 metatranscriptomes from cystic fibrosis (CF) sputum and chronic wound (CW) infections.
  • Used HUMANn3 and SAMSA2 for functional profiling to identify key bacterial members and functions.

Key Points:

  • Pathogens like *Staphylococcus* and *Pseudomonas*, and anaerobes like *Porphyromonas* were prevalent.
  • Over 40% of functions were differentially expressed between CF and CW infections.
  • CF samples showed higher antibiotic resistance and biofilm functions; CW samples had more tissue-destructive enzymes.

Conclusions:

  • Strict anaerobes negatively correlated with pathogens and contributed significantly to expressed functions.
  • Infection environment and community structure strongly influence bacterial physiology and function.
  • Community composition and function should guide cPMI treatment strategies.