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Rapid, precise quantification of bacterial cellular dimensions across a genomic-scale knockout library

Overview of attention for article published in BMC Biology, February 2017
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Title
Rapid, precise quantification of bacterial cellular dimensions across a genomic-scale knockout library
Published in
BMC Biology, February 2017
DOI 10.1186/s12915-017-0348-8
Pubmed ID
Authors

Tristan Ursell, Timothy K. Lee, Daisuke Shiomi, Handuo Shi, Carolina Tropini, Russell D. Monds, Alexandre Colavin, Gabriel Billings, Ilina Bhaya-Grossman, Michael Broxton, Bevan Emma Huang, Hironori Niki, Kerwyn Casey Huang

Abstract

The determination and regulation of cell morphology are critical components of cell-cycle control, fitness, and development in both single-cell and multicellular organisms. Understanding how environmental factors, chemical perturbations, and genetic differences affect cell morphology requires precise, unbiased, and validated measurements of cell-shape features. Here we introduce two software packages, Morphometrics and BlurLab, that together enable automated, computationally efficient, unbiased identification of cells and morphological features. We applied these tools to bacterial cells because the small size of these cells and the subtlety of certain morphological changes have thus far obscured correlations between bacterial morphology and genotype. We used an online resource of images of the Keio knockout library of nonessential genes in the Gram-negative bacterium Escherichia coli to demonstrate that cell width, width variability, and length significantly correlate with each other and with drug treatments, nutrient changes, and environmental conditions. Further, we combined morphological classification of genetic variants with genetic meta-analysis to reveal novel connections among gene function, fitness, and cell morphology, thus suggesting potential functions for unknown genes and differences in modes of action of antibiotics. Morphometrics and BlurLab set the stage for future quantitative studies of bacterial cell shape and intracellular localization. The previously unappreciated connections between morphological parameters measured with these software packages and the cellular environment point toward novel mechanistic connections among physiological perturbations, cell fitness, and growth.

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Geographical breakdown

Country Count As %
China 1 <1%
Denmark 1 <1%
Italy 1 <1%
Unknown 124 98%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 34 27%
Researcher 19 15%
Student > Bachelor 17 13%
Student > Master 9 7%
Professor > Associate Professor 7 6%
Other 18 14%
Unknown 23 18%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 29 23%
Agricultural and Biological Sciences 27 21%
Immunology and Microbiology 10 8%
Physics and Astronomy 7 6%
Computer Science 5 4%
Other 17 13%
Unknown 32 25%