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Comparative genomic analysis of novel Acinetobacter symbionts: A combined systems biology and genomics approach
The increasing trend of antibiotic resistance in Acinetobacter drastically limits the range of therapeutic agents required to treat multidrug resistant (MDR) infections. This study focused on analysis of novel Acinetobacter strains using a genomics and systems biology approach. Here we used a networ...
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Published in: | Scientific reports 2016-07, Vol.6 (1), p.29043-29043, Article 29043 |
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Main Authors: | , , , , , , , , |
Format: | Article |
Language: | English |
Subjects: | |
Citations: | Items that this one cites Items that cite this one |
Online Access: | Get full text |
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Summary: | The increasing trend of antibiotic resistance in
Acinetobacter
drastically limits the range of therapeutic agents required to treat multidrug resistant (MDR) infections. This study focused on analysis of novel
Acinetobacter
strains using a genomics and systems biology approach. Here we used a network theory method for pathogenic and non-pathogenic
Acinetobacter
spp. to identify the key regulatory proteins (hubs) in each strain. We identified nine key regulatory proteins, guaA, guaB, rpsB, rpsI, rpsL, rpsE, rpsC, rplM and trmD, which have functional roles as hubs in a hierarchical scale-free fractal protein-protein interaction network. Two key hubs (guaA and guaB) were important for insect-associated strains, and comparative analysis identified guaA as more important than guaB due to its role in effective module regulation. rpsI played a significant role in all the novel strains, while rplM was unique to sheep-associated strains. rpsM, rpsB and rpsI were involved in the regulation of overall network topology across all
Acinetobacter
strains analyzed in this study. Future analysis will investigate whether these hubs are useful as drug targets for treating
Acinetobacter
infections. |
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ISSN: | 2045-2322 2045-2322 |
DOI: | 10.1038/srep29043 |