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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...
Autores principales: | , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2019
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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. |
format | Online Article Text |
id | pubmed-6787022 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2019 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
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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