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Analysis of Surface Protein Expression Reveals the Growth Pattern of the Gram-Negative Outer Membrane
The outer membrane (OM) of Gram-negative bacteria is a complex bilayer composed of proteins, phospholipids, lipoproteins, and lipopolysaccharides. Despite recent advances revealing the molecular pathways underlying protein and lipopolysaccharide incorporation into the OM, the spatial distribution an...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Public Library of Science
2012
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3459847/ https://www.ncbi.nlm.nih.gov/pubmed/23028278 http://dx.doi.org/10.1371/journal.pcbi.1002680 |
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author | Ursell, Tristan S. Trepagnier, Eliane H. Huang, Kerwyn Casey Theriot, Julie A. |
author_facet | Ursell, Tristan S. Trepagnier, Eliane H. Huang, Kerwyn Casey Theriot, Julie A. |
author_sort | Ursell, Tristan S. |
collection | PubMed |
description | The outer membrane (OM) of Gram-negative bacteria is a complex bilayer composed of proteins, phospholipids, lipoproteins, and lipopolysaccharides. Despite recent advances revealing the molecular pathways underlying protein and lipopolysaccharide incorporation into the OM, the spatial distribution and dynamic regulation of these processes remain poorly understood. Here, we used sequence-specific fluorescent labeling to map the incorporation patterns of an OM-porin protein, LamB, by labeling proteins only after epitope exposure on the cell surface. Newly synthesized LamB appeared in discrete puncta, rather than evenly distributed over the cell surface. Further growth of bacteria after labeling resulted in divergence of labeled LamB puncta, consistent with a spatial pattern of OM growth in which new, unlabeled material was also inserted in patches. At the poles, puncta remained relatively stationary through several rounds of division, a salient characteristic of the OM protein population as a whole. We propose a biophysical model of growth in which patches of new OM material are added in discrete bursts that evolve in time according to Stokes flow and are randomly distributed over the cell surface. Simulations based on this model demonstrate that our experimental observations are consistent with a bursty insertion pattern without spatial bias across the cylindrical cell surface, with approximately one burst of ∼10(−2) µm(2) of OM material per two minutes per µm(2). Growth by insertion of discrete patches suggests that stochasticity plays a major role in patterning and material organization in the OM. |
format | Online Article Text |
id | pubmed-3459847 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2012 |
publisher | Public Library of Science |
record_format | MEDLINE/PubMed |
spelling | pubmed-34598472012-10-01 Analysis of Surface Protein Expression Reveals the Growth Pattern of the Gram-Negative Outer Membrane Ursell, Tristan S. Trepagnier, Eliane H. Huang, Kerwyn Casey Theriot, Julie A. PLoS Comput Biol Research Article The outer membrane (OM) of Gram-negative bacteria is a complex bilayer composed of proteins, phospholipids, lipoproteins, and lipopolysaccharides. Despite recent advances revealing the molecular pathways underlying protein and lipopolysaccharide incorporation into the OM, the spatial distribution and dynamic regulation of these processes remain poorly understood. Here, we used sequence-specific fluorescent labeling to map the incorporation patterns of an OM-porin protein, LamB, by labeling proteins only after epitope exposure on the cell surface. Newly synthesized LamB appeared in discrete puncta, rather than evenly distributed over the cell surface. Further growth of bacteria after labeling resulted in divergence of labeled LamB puncta, consistent with a spatial pattern of OM growth in which new, unlabeled material was also inserted in patches. At the poles, puncta remained relatively stationary through several rounds of division, a salient characteristic of the OM protein population as a whole. We propose a biophysical model of growth in which patches of new OM material are added in discrete bursts that evolve in time according to Stokes flow and are randomly distributed over the cell surface. Simulations based on this model demonstrate that our experimental observations are consistent with a bursty insertion pattern without spatial bias across the cylindrical cell surface, with approximately one burst of ∼10(−2) µm(2) of OM material per two minutes per µm(2). Growth by insertion of discrete patches suggests that stochasticity plays a major role in patterning and material organization in the OM. Public Library of Science 2012-09-27 /pmc/articles/PMC3459847/ /pubmed/23028278 http://dx.doi.org/10.1371/journal.pcbi.1002680 Text en © 2012 Ursell et al http://creativecommons.org/licenses/by/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are properly credited. |
spellingShingle | Research Article Ursell, Tristan S. Trepagnier, Eliane H. Huang, Kerwyn Casey Theriot, Julie A. Analysis of Surface Protein Expression Reveals the Growth Pattern of the Gram-Negative Outer Membrane |
title | Analysis of Surface Protein Expression Reveals the Growth Pattern of the Gram-Negative Outer Membrane |
title_full | Analysis of Surface Protein Expression Reveals the Growth Pattern of the Gram-Negative Outer Membrane |
title_fullStr | Analysis of Surface Protein Expression Reveals the Growth Pattern of the Gram-Negative Outer Membrane |
title_full_unstemmed | Analysis of Surface Protein Expression Reveals the Growth Pattern of the Gram-Negative Outer Membrane |
title_short | Analysis of Surface Protein Expression Reveals the Growth Pattern of the Gram-Negative Outer Membrane |
title_sort | analysis of surface protein expression reveals the growth pattern of the gram-negative outer membrane |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3459847/ https://www.ncbi.nlm.nih.gov/pubmed/23028278 http://dx.doi.org/10.1371/journal.pcbi.1002680 |
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