A simple technique based on a single optical trap for the determination of bacterial swimming pattern.
Bacterial motility is associated to a wide range of biological processes and it plays a key role in the virulence of many pathogens. Here we describe a method to distinguish the dynamic properties of bacteria by analyzing the statistical functions derived from the trajectories of a bacterium trapped...
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2013
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oai:doaj.org-article:a9c26676369d4f20b37e1007085487c62021-11-18T07:47:38ZA simple technique based on a single optical trap for the determination of bacterial swimming pattern.1932-620310.1371/journal.pone.0061630https://doaj.org/article/a9c26676369d4f20b37e1007085487c62013-01-01T00:00:00Zhttps://www.ncbi.nlm.nih.gov/pmc/articles/pmid/23637869/?tool=EBIhttps://doaj.org/toc/1932-6203Bacterial motility is associated to a wide range of biological processes and it plays a key role in the virulence of many pathogens. Here we describe a method to distinguish the dynamic properties of bacteria by analyzing the statistical functions derived from the trajectories of a bacterium trapped by a single optical beam. The approach is based on the model of the rotation of a solid optically trapped sphere. The technique is easily implemented in a biological laboratory, since with only a small number of optical and electronic components a simple biological microscope can be converted into the required analyzer. To illustrate the functionality of this method, we probed several Salmonella enterica serovar Typhimurium mutants that differed from the wild-type with respect to their swimming patterns. In a further application, the motility dynamics of the S. Typhimurium cheV mutant were characterized.Ignacio A MartínezSusana CampoyMeritxell TortMontserrat LlagosteraDmitri PetrovPublic Library of Science (PLoS)articleMedicineRScienceQENPLoS ONE, Vol 8, Iss 4, p e61630 (2013) |
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Medicine R Science Q Ignacio A Martínez Susana Campoy Meritxell Tort Montserrat Llagostera Dmitri Petrov A simple technique based on a single optical trap for the determination of bacterial swimming pattern. |
description |
Bacterial motility is associated to a wide range of biological processes and it plays a key role in the virulence of many pathogens. Here we describe a method to distinguish the dynamic properties of bacteria by analyzing the statistical functions derived from the trajectories of a bacterium trapped by a single optical beam. The approach is based on the model of the rotation of a solid optically trapped sphere. The technique is easily implemented in a biological laboratory, since with only a small number of optical and electronic components a simple biological microscope can be converted into the required analyzer. To illustrate the functionality of this method, we probed several Salmonella enterica serovar Typhimurium mutants that differed from the wild-type with respect to their swimming patterns. In a further application, the motility dynamics of the S. Typhimurium cheV mutant were characterized. |
format |
article |
author |
Ignacio A Martínez Susana Campoy Meritxell Tort Montserrat Llagostera Dmitri Petrov |
author_facet |
Ignacio A Martínez Susana Campoy Meritxell Tort Montserrat Llagostera Dmitri Petrov |
author_sort |
Ignacio A Martínez |
title |
A simple technique based on a single optical trap for the determination of bacterial swimming pattern. |
title_short |
A simple technique based on a single optical trap for the determination of bacterial swimming pattern. |
title_full |
A simple technique based on a single optical trap for the determination of bacterial swimming pattern. |
title_fullStr |
A simple technique based on a single optical trap for the determination of bacterial swimming pattern. |
title_full_unstemmed |
A simple technique based on a single optical trap for the determination of bacterial swimming pattern. |
title_sort |
simple technique based on a single optical trap for the determination of bacterial swimming pattern. |
publisher |
Public Library of Science (PLoS) |
publishDate |
2013 |
url |
https://doaj.org/article/a9c26676369d4f20b37e1007085487c6 |
work_keys_str_mv |
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