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A novel application of Gini coefficient for the quantitative measurement of bacterial aggregation
Non-surface attached bacterial aggregates are frequently found in clinical settings associated with chronic infections. Current methods quantifying the extent to which a suspended bacterial population is aggregated mainly rely on: (1) cell size distribution curves that are difficult to be compared n...
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/PMC6908595/ https://www.ncbi.nlm.nih.gov/pubmed/31831832 http://dx.doi.org/10.1038/s41598-019-55567-z |
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author | Cai, Yu-ming Chatelet, David S. Howlin, Robert P. Wang, Zhi-zhong Webb, Jeremy S. |
author_facet | Cai, Yu-ming Chatelet, David S. Howlin, Robert P. Wang, Zhi-zhong Webb, Jeremy S. |
author_sort | Cai, Yu-ming |
collection | PubMed |
description | Non-surface attached bacterial aggregates are frequently found in clinical settings associated with chronic infections. Current methods quantifying the extent to which a suspended bacterial population is aggregated mainly rely on: (1) cell size distribution curves that are difficult to be compared numerically among large-scale samples; (2) the average size/proportion of aggregates in a population that do not specify the aggregation patterns. Here we introduce a novel application of Gini coefficient, herein named Aggregation Coefficient (AC), to quantify the aggregation levels of cystic fibrosis Pseudomonas aeruginosa (CF-PA) isolates in vitro using 3D micrographs, Fiji and MATLAB. Different aggregation patterns of five strains were compared statistically using the numerical AC indexes, which correlated well with the size distribution curves plotted by different biovolumes of aggregates. To test the sensitivity of AC, aggregates of the same strains were treated with nitric oxide (NO), a dispersal agent that reduces the biomass of surface attached biofilms. Strains unresponsive to NO were reflected by comparable AC indexes, while those undergoing dispersal showed a significant reduction in AC index, mirroring the changes in average aggregate sizes and proportions. Therefore, AC provides simpler and more descriptive numerical outputs for measuring different aggregation patterns compared to current approaches. |
format | Online Article Text |
id | pubmed-6908595 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2019 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-69085952019-12-16 A novel application of Gini coefficient for the quantitative measurement of bacterial aggregation Cai, Yu-ming Chatelet, David S. Howlin, Robert P. Wang, Zhi-zhong Webb, Jeremy S. Sci Rep Article Non-surface attached bacterial aggregates are frequently found in clinical settings associated with chronic infections. Current methods quantifying the extent to which a suspended bacterial population is aggregated mainly rely on: (1) cell size distribution curves that are difficult to be compared numerically among large-scale samples; (2) the average size/proportion of aggregates in a population that do not specify the aggregation patterns. Here we introduce a novel application of Gini coefficient, herein named Aggregation Coefficient (AC), to quantify the aggregation levels of cystic fibrosis Pseudomonas aeruginosa (CF-PA) isolates in vitro using 3D micrographs, Fiji and MATLAB. Different aggregation patterns of five strains were compared statistically using the numerical AC indexes, which correlated well with the size distribution curves plotted by different biovolumes of aggregates. To test the sensitivity of AC, aggregates of the same strains were treated with nitric oxide (NO), a dispersal agent that reduces the biomass of surface attached biofilms. Strains unresponsive to NO were reflected by comparable AC indexes, while those undergoing dispersal showed a significant reduction in AC index, mirroring the changes in average aggregate sizes and proportions. Therefore, AC provides simpler and more descriptive numerical outputs for measuring different aggregation patterns compared to current approaches. Nature Publishing Group UK 2019-12-12 /pmc/articles/PMC6908595/ /pubmed/31831832 http://dx.doi.org/10.1038/s41598-019-55567-z 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 Cai, Yu-ming Chatelet, David S. Howlin, Robert P. Wang, Zhi-zhong Webb, Jeremy S. A novel application of Gini coefficient for the quantitative measurement of bacterial aggregation |
title | A novel application of Gini coefficient for the quantitative measurement of bacterial aggregation |
title_full | A novel application of Gini coefficient for the quantitative measurement of bacterial aggregation |
title_fullStr | A novel application of Gini coefficient for the quantitative measurement of bacterial aggregation |
title_full_unstemmed | A novel application of Gini coefficient for the quantitative measurement of bacterial aggregation |
title_short | A novel application of Gini coefficient for the quantitative measurement of bacterial aggregation |
title_sort | novel application of gini coefficient for the quantitative measurement of bacterial aggregation |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6908595/ https://www.ncbi.nlm.nih.gov/pubmed/31831832 http://dx.doi.org/10.1038/s41598-019-55567-z |
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