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| Content Provider | Springer Nature : BioMed Central |
|---|---|
| Author | Ursell, Tristan Lee, Timothy K. Shiomi, Daisuke Shi, Handuo Tropini, Carolina Monds, Russell D. Colavin, Alexandre Billings, Gabriel Bhaya-Grossman, Ilina Broxton, Michael Huang, Bevan Emma Niki, Hironori Huang, Kerwyn Casey |
| Abstract | Background 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. Results 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. Conclusions 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. |
| Related Links | https://bmcbiol.biomedcentral.com/counter/pdf/10.1186/s12915-017-0348-8.pdf |
| Ending Page | 15 |
| Page Count | 15 |
| Starting Page | 1 |
| File Format | HTM / HTML |
| ISSN | 17417007 |
| DOI | 10.1186/s12915-017-0348-8 |
| Journal | BMC Biology |
| Issue Number | 1 |
| Volume Number | 15 |
| Language | English |
| Publisher | BioMed Central |
| Publisher Date | 2017-02-21 |
| Access Restriction | Open |
| Subject Keyword | Life Sciences Microbiology Cell biology Cell morphology Cell shape Imaging Chemical genomics Principal component analysis Segmentation Microscopy Computer vision |
| Content Type | Text |
| Resource Type | Article |
| Subject | Ecology, Evolution, Behavior and Systematics Structural Biology Biochemistry, Genetics and Molecular Biology Plant Science Biotechnology Physiology Agricultural and Biological Sciences Cell Biology Developmental Biology |
| Journal Impact Factor | 4.4/2023 |
| 5-Year Journal Impact Factor | 5.4/2023 |
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