NDLI: Prediction of Genomic Islands in Three Bacterial Pathogens of Pneumonia

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Prediction of Genomic Islands in Three Bacterial Pathogens of Pneumonia

Content Provider	MDPI
Author	Guo, Feng-Biao Wei, Wen
Abstract	Pneumonia is one kind of common infectious disease, which is usually caused by bacteria, viruses, or fungi. In this paper, we predicted genomic islands in three bacterial pathogens of pneumonia. They are Chlamydophila pneumoniae, Mycoplasma pneumoniae and Streptococcus pneumoniae, respectively. For each pathogen, one clinical strain is involved. After implementing the cumulative GC profile combined with h and BCN index, eight genomic islands are found in three pathogens. Among them, six genomic islands are found to have mobility elements, which constitute a kind of conserved character of genomic islands, and this introduces the possibility that they are genuine genomic islands. The present results show that the cumulative GC profile when combined with h and BCN indexes is a good method for predicting genomic islands in bacteria and it has lower false positive rate than the SIGI method. Specially, three genomic islands are found to contain clusters of genes coding for production of virulence factors and this is useful for research into the pathogenicity of these pathogens and helpful for the treatment of diseases caused by them.
File Size	228352
Ending Page	3144
Page Count	11
Starting Page	3134
File Format	PDF
e-ISSN	14220067
DOI	10.3390/ijms13033134
Journal	International Journal of Molecular Sciences
Issue Number	3
Volume Number	13
Language	English
Publisher Date	2012-03-07
Access Restriction	Open
Subject Keyword	genomic islands pneumonic pathogens cumulative GC profile
Content Type	Text
Resource Type	Article

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