ArticleScientific reports2019
A novel application of Gini coefficient for the quantitative measurement of bacterial aggregation.
Article in Scientific reports, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.
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Who cites it
10 citing papers in PubMed, 17 citations in OpenAlex.
- Generalizable, high-throughput image analysis of subcellular structures using dispersion indices.iScience · 2026Article
- The impact of inoculation methods on bacterial aggregation and antimicrobial susceptibility testing.Microbiology (Reading, England) · 2026Article
- Multicellular dynamics and wealth distribution in bacteria.Molecular systems biology · 2024Article
- The buffering effect of social capital for daily mental stress in an unequal society: a lesson from Seoul.International journal for equity in health · 2023Article
- Transcriptomic and metabolomic analyses to study the key role by whichFrontiers in microbiology · 2023Article
- Micron-Scale Biogeography of Seawater Biofilm Colonies at Submersed Solid Substrata Affected by Organic Matter and Microbiome Transformation in the Baltic Sea.Materials (Basel, Switzerland) · 2022Article
- The c-di-GMP Phosphodiesterase PipA (PA0285) Regulates Autoaggregation and Pf4 Bacteriophage Production in Pseudomonas aeruginosa PAO1.Applied and environmental microbiology · 2022Article
- Exploiting cheminformatic and machine learning to navigate the available chemical space of potential small molecule inhibitors of SARS-CoV-2.Computational and structural biotechnology journal · 2021Article
- Gini Coefficients as a Single Value Metric to Define Chemical Probe Selectivity.ACS chemical biology · 2020Article
- Non-surface Attached Bacterial Aggregates: A Ubiquitous Third Lifestyle.Frontiers in microbiology · 2020Review
Corrections and comments
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Authors and funding
5 authors at 3 institutions in 2 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
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.
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