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Consensus computational network analysis for identifying candidate outer membrane proteins from Borrelia spirochetes

BACKGROUND: Similar to Gram-negative organisms, Borrelia spirochetes are dual-membrane organisms with both an inner and outer membrane. Although the outer membrane contains integral membrane proteins, few of the borrelial outer membrane proteins (OMPs) have been identified and characterized to date....

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Autores principales: Kenedy, Melisha R., Scott, Edgar J., Shrestha, Binu, Anand, Arvind, Iqbal, Henna, Radolf, Justin D., Dyer, David W., Akins, Darrin R.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2016
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4939628/
https://www.ncbi.nlm.nih.gov/pubmed/27400788
http://dx.doi.org/10.1186/s12866-016-0762-z
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author Kenedy, Melisha R.
Scott, Edgar J.
Shrestha, Binu
Anand, Arvind
Iqbal, Henna
Radolf, Justin D.
Dyer, David W.
Akins, Darrin R.
author_facet Kenedy, Melisha R.
Scott, Edgar J.
Shrestha, Binu
Anand, Arvind
Iqbal, Henna
Radolf, Justin D.
Dyer, David W.
Akins, Darrin R.
author_sort Kenedy, Melisha R.
collection PubMed
description BACKGROUND: Similar to Gram-negative organisms, Borrelia spirochetes are dual-membrane organisms with both an inner and outer membrane. Although the outer membrane contains integral membrane proteins, few of the borrelial outer membrane proteins (OMPs) have been identified and characterized to date. Therefore, we utilized a consensus computational network analysis to identify novel borrelial OMPs. RESULTS: Using a series of computer-based algorithms, we selected all protein-encoding sequences predicted to be OM-localized and/or to form β-barrels in the borrelial OM. Using this system, we identified 41 potential OMPs from B. burgdorferi and characterized three (BB0838, BB0405, and BB0406) to confirm that our computer-based methodology did, in fact, identify borrelial OMPs. Triton X-114 phase partitioning revealed that BB0838 is found in the detergent phase, which would be expected of a membrane protein. Proteolysis assays indicate that BB0838 is partially sensitive to both proteinase K and trypsin, further indicating that BB0838 is surface-exposed. Consistent with a prior study, we also confirmed that BB0405 is surface-exposed and associates with the borrelial OM. Furthermore, we have shown that BB0406, the product of a co-transcribed downstream gene, also encodes a novel, previously uncharacterized borrelial OMP. Interestingly, while BB0406 has several physicochemical properties consistent with it being an OMP, it was found to be resistant to surface proteolysis. Consistent with BB0405 and BB0406 being OMPs, both were found to be capable of incorporating into liposomes and exhibit pore-forming activity, suggesting that both proteins are porins. Lastly, we expanded our computational analysis to identify OMPs from other borrelial organisms, including both Lyme disease and relapsing fever spirochetes. CONCLUSIONS: Using a consensus computer algorithm, we generated a list of candidate OMPs for both Lyme disease and relapsing fever spirochetes and determined that three of the predicted B. burgdorferi proteins identified were indeed novel borrelial OMPs. The combined studies have identified putative spirochetal OMPs that can now be examined for their roles in virulence, physiology, and disease pathogenesis. Importantly, the studies described in this report provide a framework by which OMPs from any human pathogen with a diderm ultrastructure could be cataloged to identify novel virulence factors and vaccine candidates. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (doi:10.1186/s12866-016-0762-z) contains supplementary material, which is available to authorized users.
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spelling pubmed-49396282016-07-12 Consensus computational network analysis for identifying candidate outer membrane proteins from Borrelia spirochetes Kenedy, Melisha R. Scott, Edgar J. Shrestha, Binu Anand, Arvind Iqbal, Henna Radolf, Justin D. Dyer, David W. Akins, Darrin R. BMC Microbiol Research Article BACKGROUND: Similar to Gram-negative organisms, Borrelia spirochetes are dual-membrane organisms with both an inner and outer membrane. Although the outer membrane contains integral membrane proteins, few of the borrelial outer membrane proteins (OMPs) have been identified and characterized to date. Therefore, we utilized a consensus computational network analysis to identify novel borrelial OMPs. RESULTS: Using a series of computer-based algorithms, we selected all protein-encoding sequences predicted to be OM-localized and/or to form β-barrels in the borrelial OM. Using this system, we identified 41 potential OMPs from B. burgdorferi and characterized three (BB0838, BB0405, and BB0406) to confirm that our computer-based methodology did, in fact, identify borrelial OMPs. Triton X-114 phase partitioning revealed that BB0838 is found in the detergent phase, which would be expected of a membrane protein. Proteolysis assays indicate that BB0838 is partially sensitive to both proteinase K and trypsin, further indicating that BB0838 is surface-exposed. Consistent with a prior study, we also confirmed that BB0405 is surface-exposed and associates with the borrelial OM. Furthermore, we have shown that BB0406, the product of a co-transcribed downstream gene, also encodes a novel, previously uncharacterized borrelial OMP. Interestingly, while BB0406 has several physicochemical properties consistent with it being an OMP, it was found to be resistant to surface proteolysis. Consistent with BB0405 and BB0406 being OMPs, both were found to be capable of incorporating into liposomes and exhibit pore-forming activity, suggesting that both proteins are porins. Lastly, we expanded our computational analysis to identify OMPs from other borrelial organisms, including both Lyme disease and relapsing fever spirochetes. CONCLUSIONS: Using a consensus computer algorithm, we generated a list of candidate OMPs for both Lyme disease and relapsing fever spirochetes and determined that three of the predicted B. burgdorferi proteins identified were indeed novel borrelial OMPs. The combined studies have identified putative spirochetal OMPs that can now be examined for their roles in virulence, physiology, and disease pathogenesis. Importantly, the studies described in this report provide a framework by which OMPs from any human pathogen with a diderm ultrastructure could be cataloged to identify novel virulence factors and vaccine candidates. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (doi:10.1186/s12866-016-0762-z) contains supplementary material, which is available to authorized users. BioMed Central 2016-07-11 /pmc/articles/PMC4939628/ /pubmed/27400788 http://dx.doi.org/10.1186/s12866-016-0762-z Text en © The Author(s). 2016 Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated.
spellingShingle Research Article
Kenedy, Melisha R.
Scott, Edgar J.
Shrestha, Binu
Anand, Arvind
Iqbal, Henna
Radolf, Justin D.
Dyer, David W.
Akins, Darrin R.
Consensus computational network analysis for identifying candidate outer membrane proteins from Borrelia spirochetes
title Consensus computational network analysis for identifying candidate outer membrane proteins from Borrelia spirochetes
title_full Consensus computational network analysis for identifying candidate outer membrane proteins from Borrelia spirochetes
title_fullStr Consensus computational network analysis for identifying candidate outer membrane proteins from Borrelia spirochetes
title_full_unstemmed Consensus computational network analysis for identifying candidate outer membrane proteins from Borrelia spirochetes
title_short Consensus computational network analysis for identifying candidate outer membrane proteins from Borrelia spirochetes
title_sort consensus computational network analysis for identifying candidate outer membrane proteins from borrelia spirochetes
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4939628/
https://www.ncbi.nlm.nih.gov/pubmed/27400788
http://dx.doi.org/10.1186/s12866-016-0762-z
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