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Updated: Oct 3, 2025

Microbiota Analysis Using Two-step PCR and Next-generation 16S rRNA Gene Sequencing
Published on: October 15, 2019
Microbial Functional Diversity Correlates with Species Diversity along a Temperature Gradient.
Ilona A Ruhl1, Andriy Sheremet1, Angela V Smirnova1
1Department of Biological Sciences, University of Calgarygrid.22072.35, Calgary, Canada.
Increasing temperature significantly reduces microbial species and functional diversity in thermal springs. Functional diversity, measured by Pfam abundances, declines faster than species diversity, with many functions having temperature ceilings.
Area of Science:
- Microbial Ecology
- Environmental Microbiology
- Metagenomics
Background:
- Microbial community diversity often correlates with environmental stresses like temperature.
- Species diversity typically decreases above 20°C, but the impact on functional diversity is less understood.
Purpose of the Study:
- To investigate how bacterial species diversity and metagenomic functional diversity change along a thermal gradient.
- To determine if functional diversity follows similar patterns to species diversity under temperature stress.
Main Methods:
- Analyzed bacterial communities in thermal spring sediments across a temperature range of 21°C to 88°C.
- Used 16S rRNA gene amplicon sequencing for species diversity and Pfam abundances for functional diversity.
- Sequenced metagenomes to assess functional gene profiles.
Main Results:
- Both species and functional diversity significantly decreased with increasing temperature.
- Functional diversity showed a power-law relationship with species diversity, saturating more rapidly.
- Many functional genes (Pfam) exhibited temperature ceilings between 60°C and 80°C.
Conclusions:
- Temperature stress limits both taxonomic and functional diversity in microbial communities, but at different rates.
- Lower functional diversity at high temperatures is due to the absence of thermolabile enzymes and smaller genome sizes in thermophilic species.
- This study provides field validation for theoretical models predicting functional diversity patterns and maps metabolic function distribution along a temperature gradient.
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