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Probing phenotypic growth in expanding Bacillus subtilis biofilms

Overview of attention for article published in Applied Microbiology and Biotechnology, March 2016
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Title
Probing phenotypic growth in expanding Bacillus subtilis biofilms
Published in
Applied Microbiology and Biotechnology, March 2016
DOI 10.1007/s00253-016-7461-4
Pubmed ID
Authors

Xiaoling Wang, Stephan A. Koehler, James N. Wilking, Naveen N. Sinha, Matthew T. Cabeen, Siddarth Srinivasan, Agnese Seminara, Shmuel Rubinstein, Qingping Sun, Michael P. Brenner, David A. Weitz

Abstract

We develop an optical imaging technique for spatially and temporally tracking biofilm growth and the distribution of the main phenotypes of a Bacillus subtilis strain with a triple-fluorescent reporter for motility, matrix production, and sporulation. We develop a calibration procedure for determining the biofilm thickness from the transmission images, which is based on Beer-Lambert's law and involves cross-sectioning of biofilms. To obtain the phenotype distribution, we assume a linear relationship between the number of cells and their fluorescence and determine the best combination of calibration coefficients that matches the total number of cells for all three phenotypes and with the total number of cells from the transmission images. Based on this analysis, we resolve the composition of the biofilm in terms of motile, matrix-producing, sporulating cells and low-fluorescent materials which includes matrix and cells that are dead or have low fluorescent gene expression. We take advantage of the circular growth to make kymograph plots of all three phenotypes and the dominant phenotype in terms of radial distance and time. To visualize the nonlocal character of biofilm growth, we also make kymographs using the local colonization time. Our technique is suitable for real-time, noninvasive, quantitative studies of the growth and phenotype distribution of biofilms which are either exposed to different conditions such as biocides, nutrient depletion, dehydration, or waste accumulation.

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Mendeley readers

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The data shown below were compiled from readership statistics for 81 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 1 1%
Brazil 1 1%
Unknown 79 98%

Demographic breakdown

Readers by professional status Count As %
Researcher 16 20%
Student > Ph. D. Student 14 17%
Student > Master 8 10%
Student > Bachelor 7 9%
Professor > Associate Professor 6 7%
Other 13 16%
Unknown 17 21%
Readers by discipline Count As %
Agricultural and Biological Sciences 21 26%
Biochemistry, Genetics and Molecular Biology 10 12%
Engineering 9 11%
Physics and Astronomy 9 11%
Materials Science 4 5%
Other 10 12%
Unknown 18 22%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 24 March 2016.
All research outputs
#21,608,038
of 24,119,703 outputs
Outputs from Applied Microbiology and Biotechnology
#6,994
of 8,034 outputs
Outputs of similar age
#262,664
of 304,648 outputs
Outputs of similar age from Applied Microbiology and Biotechnology
#96
of 122 outputs
Altmetric has tracked 24,119,703 research outputs across all sources so far. This one is in the 1st percentile – i.e., 1% of other outputs scored the same or lower than it.
So far Altmetric has tracked 8,034 research outputs from this source. They receive a mean Attention Score of 4.3. This one is in the 1st percentile – i.e., 1% of its peers scored the same or lower than it.
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We're also able to compare this research output to 122 others from the same source and published within six weeks on either side of this one. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.