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On Modeling Ensemble Transport of Metal Reducing Motile Bacteria

Many metal reducing bacteria are motile with their run-and-tumble behavior exhibiting series of flights and waiting-time spanning multiple orders of magnitude. While several models of bacterial processes do not consider their ensemble motion, some models treat motility using an advection diffusion e...

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Autores principales: Yang, Xueke, Parashar, Rishi, Sund, Nicole L., Plymale, Andrew E., Scheibe, Timothy D., Hu, Dehong, Kelly, Ryan T.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6787022/
https://www.ncbi.nlm.nih.gov/pubmed/31601954
http://dx.doi.org/10.1038/s41598-019-51271-0
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author Yang, Xueke
Parashar, Rishi
Sund, Nicole L.
Plymale, Andrew E.
Scheibe, Timothy D.
Hu, Dehong
Kelly, Ryan T.
author_facet Yang, Xueke
Parashar, Rishi
Sund, Nicole L.
Plymale, Andrew E.
Scheibe, Timothy D.
Hu, Dehong
Kelly, Ryan T.
author_sort Yang, Xueke
collection PubMed
description Many metal reducing bacteria are motile with their run-and-tumble behavior exhibiting series of flights and waiting-time spanning multiple orders of magnitude. While several models of bacterial processes do not consider their ensemble motion, some models treat motility using an advection diffusion equation (ADE). In this study, Geobacter and Pelosinus, two metal reducing species, are used in micromodel experiments for study of their motility characteristics. Trajectories of individual cells on the order of several seconds to few minutes in duration are analyzed to provide information on (1) the length of runs, and (2) time needed to complete a run (waiting or residence time). A Continuous Time Random Walk (CTRW) model to predict ensemble breakthrough plots is developed based on the motility statistics. The results of the CTRW model and an ADE model are compared with the real breakthrough plots obtained directly from the trajectories. The ADE model is shown to be insufficient, whereas a coupled CTRW model is found to be good at predicting breakthroughs at short distances and at early times, but not at late time and long distances. The inadequacies of the simple CTRW model can possibly be improved by accounting for correlation in run length and waiting time.
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spelling pubmed-67870222019-10-17 On Modeling Ensemble Transport of Metal Reducing Motile Bacteria Yang, Xueke Parashar, Rishi Sund, Nicole L. Plymale, Andrew E. Scheibe, Timothy D. Hu, Dehong Kelly, Ryan T. Sci Rep Article Many metal reducing bacteria are motile with their run-and-tumble behavior exhibiting series of flights and waiting-time spanning multiple orders of magnitude. While several models of bacterial processes do not consider their ensemble motion, some models treat motility using an advection diffusion equation (ADE). In this study, Geobacter and Pelosinus, two metal reducing species, are used in micromodel experiments for study of their motility characteristics. Trajectories of individual cells on the order of several seconds to few minutes in duration are analyzed to provide information on (1) the length of runs, and (2) time needed to complete a run (waiting or residence time). A Continuous Time Random Walk (CTRW) model to predict ensemble breakthrough plots is developed based on the motility statistics. The results of the CTRW model and an ADE model are compared with the real breakthrough plots obtained directly from the trajectories. The ADE model is shown to be insufficient, whereas a coupled CTRW model is found to be good at predicting breakthroughs at short distances and at early times, but not at late time and long distances. The inadequacies of the simple CTRW model can possibly be improved by accounting for correlation in run length and waiting time. Nature Publishing Group UK 2019-10-10 /pmc/articles/PMC6787022/ /pubmed/31601954 http://dx.doi.org/10.1038/s41598-019-51271-0 Text en © The Author(s) 2019 Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as 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 images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/.
spellingShingle Article
Yang, Xueke
Parashar, Rishi
Sund, Nicole L.
Plymale, Andrew E.
Scheibe, Timothy D.
Hu, Dehong
Kelly, Ryan T.
On Modeling Ensemble Transport of Metal Reducing Motile Bacteria
title On Modeling Ensemble Transport of Metal Reducing Motile Bacteria
title_full On Modeling Ensemble Transport of Metal Reducing Motile Bacteria
title_fullStr On Modeling Ensemble Transport of Metal Reducing Motile Bacteria
title_full_unstemmed On Modeling Ensemble Transport of Metal Reducing Motile Bacteria
title_short On Modeling Ensemble Transport of Metal Reducing Motile Bacteria
title_sort on modeling ensemble transport of metal reducing motile bacteria
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6787022/
https://www.ncbi.nlm.nih.gov/pubmed/31601954
http://dx.doi.org/10.1038/s41598-019-51271-0
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