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A Metagenomic Analysis of Bacterial Microbiota in the Digestive Tract of Triatomines
- Source :
- Bioinformatics and Biology Insights, Bioinformatics and Biology Insights, Vol 11 (2017)
- Publication Year :
- 2017
- Publisher :
- SAGE Publications, 2017.
-
Abstract
- The digestive tract of triatomines (DTT) is an ecological niche favored by microbiota whose enzymatic profile is adapted to the specific substrate availability in this medium. This report describes the molecular enzymatic properties that promote bacterial prominence in the DTT. The microbiota composition was assessed previously based on 16S ribosomal DNA, and whole sequenced genomes of bacteria from the same genera were used to calculate the GC level of rare and prominent bacterial species in the DTT. The enzymatic reactions encoded by coding sequences of both rare and common bacterial species were then compared and revealed key functions explaining why some genera outcompete others in the DTT. Representativeness of DTT microbiota was investigated by shotgun sequencing of DNA extracted from bacteria grown in liquid Luria-Bertani broth (LB) medium. Results showed that GC-rich bacteria outcompete GC-poor bacteria and are the dominant components of the DTT microbiota. In addition, oxidoreductases are the main enzymatic components of these bacteria. In particular, nitrate reductases (anaerobic respiration), oxygenases (catabolism of complex substrates), acetate-CoA ligase (tricarboxylic acid cycle and energy metabolism), and kinase (signaling pathway) were the major enzymatic determinants present together with a large group of minor enzymes including hydrogenases involved in energy and amino acid metabolism. In conclusion, despite their slower growth in liquid LB medium, bacteria from GC-rich genera outcompete the GC-poor bacteria because their specific enzymatic abilities impart a selective advantage in the DTT.
- Subjects :
- 0301 basic medicine
midgut
Biology
Biochemistry
03 medical and health sciences
EC number
gene number
ecological niche
lcsh:QH301-705.5
Molecular Biology
Ribosomal DNA
Original Research
chemistry.chemical_classification
GC content
DNA ligase
Catabolism
business.industry
Applied Mathematics
food and beverages
biology.organism_classification
Computer Science Applications
Biotechnology
Citric acid cycle
Computational Mathematics
030104 developmental biology
Enzyme
lcsh:Biology (General)
chemistry
Metagenomics
genome size
business
GC-content
Bacteria
Subjects
Details
- ISSN :
- 11779322
- Volume :
- 11
- Database :
- OpenAIRE
- Journal :
- Bioinformatics and Biology Insights
- Accession number :
- edsair.doi.dedup.....c1ae266eb6a62356f8eab8562e853776
- Full Text :
- https://doi.org/10.1177/1177932217733422