↓ Skip to main content

PLOS

Mining Virulence Genes Using Metagenomics

Overview of attention for article published in PLOS ONE, October 2011
Altmetric Badge

Mentioned by

twitter
31 X users

Citations

dimensions_citation
16 Dimensions

Readers on

mendeley
147 Mendeley
citeulike
4 CiteULike
Title
Mining Virulence Genes Using Metagenomics
Published in
PLOS ONE, October 2011
DOI 10.1371/journal.pone.0024975
Pubmed ID
Authors

Pedro Belda-Ferre, Raúl Cabrera-Rubio, Andrés Moya, Alex Mira

Abstract

When a bacterial genome is compared to the metagenome of an environment it inhabits, most genes recruit at high sequence identity. In free-living bacteria (for instance marine bacteria compared against the ocean metagenome) certain genomic regions are totally absent in recruitment plots, representing therefore genes unique to individual bacterial isolates. We show that these Metagenomic Islands (MIs) are also visible in bacteria living in human hosts when their genomes are compared to sequences from the human microbiome, despite the compartmentalized structure of human-related environments such as the gut. From an applied point of view, MIs of human pathogens (e.g. those identified in enterohaemorragic Escherichia coli against the gut metagenome or in pathogenic Neisseria meningitidis against the oral metagenome) include virulence genes that appear to be absent in related strains or species present in the microbiome of healthy individuals. We propose that this strategy (i.e. recruitment analysis of pathogenic bacteria against the metagenome of healthy subjects) can be used to detect pathogenicity regions in species where the genes involved in virulence are poorly characterized. Using this approach, we detect well-known pathogenicity islands and identify new potential virulence genes in several human pathogens.

X Demographics

X Demographics

The data shown below were collected from the profiles of 31 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 147 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 7 5%
United Kingdom 4 3%
Spain 3 2%
Brazil 3 2%
Netherlands 2 1%
Sweden 2 1%
Russia 1 <1%
Unknown 125 85%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 35 24%
Researcher 34 23%
Student > Bachelor 16 11%
Student > Master 15 10%
Student > Doctoral Student 12 8%
Other 27 18%
Unknown 8 5%
Readers by discipline Count As %
Agricultural and Biological Sciences 88 60%
Biochemistry, Genetics and Molecular Biology 14 10%
Medicine and Dentistry 13 9%
Computer Science 5 3%
Immunology and Microbiology 5 3%
Other 14 10%
Unknown 8 5%