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Quantifying and predicting Drosophila larvae crawling phenotypes
The fruit fly Drosophila melanogaster is a widely used model for cell biology, development, disease, and neuroscience. The fly’s power as a genetic model for disease and neuroscience can be augmented by a quantitative description of its behavior. Here we show that we can accurately account for the c...
Autores principales: | , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group
2016
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4914969/ https://www.ncbi.nlm.nih.gov/pubmed/27323901 http://dx.doi.org/10.1038/srep27972 |
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author | Günther, Maximilian N. Nettesheim, Guilherme Shubeita, George T. |
author_facet | Günther, Maximilian N. Nettesheim, Guilherme Shubeita, George T. |
author_sort | Günther, Maximilian N. |
collection | PubMed |
description | The fruit fly Drosophila melanogaster is a widely used model for cell biology, development, disease, and neuroscience. The fly’s power as a genetic model for disease and neuroscience can be augmented by a quantitative description of its behavior. Here we show that we can accurately account for the complex and unique crawling patterns exhibited by individual Drosophila larvae using a small set of four parameters obtained from the trajectories of a few crawling larvae. The values of these parameters change for larvae from different genetic mutants, as we demonstrate for fly models of Alzheimer’s disease and the Fragile X syndrome, allowing applications such as genetic or drug screens. Using the quantitative model of larval crawling developed here we use the mutant-specific parameters to robustly simulate larval crawling, which allows estimating the feasibility of laborious experimental assays and aids in their design. |
format | Online Article Text |
id | pubmed-4914969 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2016 |
publisher | Nature Publishing Group |
record_format | MEDLINE/PubMed |
spelling | pubmed-49149692016-06-27 Quantifying and predicting Drosophila larvae crawling phenotypes Günther, Maximilian N. Nettesheim, Guilherme Shubeita, George T. Sci Rep Article The fruit fly Drosophila melanogaster is a widely used model for cell biology, development, disease, and neuroscience. The fly’s power as a genetic model for disease and neuroscience can be augmented by a quantitative description of its behavior. Here we show that we can accurately account for the complex and unique crawling patterns exhibited by individual Drosophila larvae using a small set of four parameters obtained from the trajectories of a few crawling larvae. The values of these parameters change for larvae from different genetic mutants, as we demonstrate for fly models of Alzheimer’s disease and the Fragile X syndrome, allowing applications such as genetic or drug screens. Using the quantitative model of larval crawling developed here we use the mutant-specific parameters to robustly simulate larval crawling, which allows estimating the feasibility of laborious experimental assays and aids in their design. Nature Publishing Group 2016-06-21 /pmc/articles/PMC4914969/ /pubmed/27323901 http://dx.doi.org/10.1038/srep27972 Text en Copyright © 2016, Macmillan Publishers Limited http://creativecommons.org/licenses/by/4.0/ This work is licensed under a Creative Commons Attribution 4.0 International License. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in the credit line; if the material is not included under the Creative Commons license, users will need to obtain permission from the license holder to reproduce the material. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/ |
spellingShingle | Article Günther, Maximilian N. Nettesheim, Guilherme Shubeita, George T. Quantifying and predicting Drosophila larvae crawling phenotypes |
title | Quantifying and predicting Drosophila larvae crawling phenotypes |
title_full | Quantifying and predicting Drosophila larvae crawling phenotypes |
title_fullStr | Quantifying and predicting Drosophila larvae crawling phenotypes |
title_full_unstemmed | Quantifying and predicting Drosophila larvae crawling phenotypes |
title_short | Quantifying and predicting Drosophila larvae crawling phenotypes |
title_sort | quantifying and predicting drosophila larvae crawling phenotypes |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4914969/ https://www.ncbi.nlm.nih.gov/pubmed/27323901 http://dx.doi.org/10.1038/srep27972 |
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