High-throughput fecundity measurements in Drosophila

Fecundity is probably the most frequently studied fitness component in Drosophila. Nevertheless, currently used methods to measure fecundity are not well-suited for large-scale experiments, with many populations being assayed in parallel. Here we present a standardized pipeline to measure fecundity...

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Autores principales: Nouhaud, Pierre, Mallard, François, Poupardin, Rodolphe, Barghi, Neda, Schlötterer, Christian
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2018
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5849729/
https://www.ncbi.nlm.nih.gov/pubmed/29535355
http://dx.doi.org/10.1038/s41598-018-22777-w
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author Nouhaud, Pierre
Mallard, François
Poupardin, Rodolphe
Barghi, Neda
Schlötterer, Christian
author_facet Nouhaud, Pierre
Mallard, François
Poupardin, Rodolphe
Barghi, Neda
Schlötterer, Christian
author_sort Nouhaud, Pierre
collection PubMed
description Fecundity is probably the most frequently studied fitness component in Drosophila. Nevertheless, currently used methods to measure fecundity are not well-suited for large-scale experiments, with many populations being assayed in parallel. Here we present a standardized pipeline to measure fecundity in many Drosophila population samples with substantially reduced hand on times. Using a high-contrast medium for egg laying, we developed a Java plug-in for ImageJ to quantify the number of eggs by image processing. We show that our method is fast and provides reliable egg counts.
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spelling pubmed-58497292018-03-21 High-throughput fecundity measurements in Drosophila Nouhaud, Pierre Mallard, François Poupardin, Rodolphe Barghi, Neda Schlötterer, Christian Sci Rep Article Fecundity is probably the most frequently studied fitness component in Drosophila. Nevertheless, currently used methods to measure fecundity are not well-suited for large-scale experiments, with many populations being assayed in parallel. Here we present a standardized pipeline to measure fecundity in many Drosophila population samples with substantially reduced hand on times. Using a high-contrast medium for egg laying, we developed a Java plug-in for ImageJ to quantify the number of eggs by image processing. We show that our method is fast and provides reliable egg counts. Nature Publishing Group UK 2018-03-13 /pmc/articles/PMC5849729/ /pubmed/29535355 http://dx.doi.org/10.1038/s41598-018-22777-w Text en © The Author(s) 2018 Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/.
spellingShingle Article
Nouhaud, Pierre
Mallard, François
Poupardin, Rodolphe
Barghi, Neda
Schlötterer, Christian
High-throughput fecundity measurements in Drosophila
title High-throughput fecundity measurements in Drosophila
title_full High-throughput fecundity measurements in Drosophila
title_fullStr High-throughput fecundity measurements in Drosophila
title_full_unstemmed High-throughput fecundity measurements in Drosophila
title_short High-throughput fecundity measurements in Drosophila
title_sort high-throughput fecundity measurements in drosophila
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5849729/
https://www.ncbi.nlm.nih.gov/pubmed/29535355
http://dx.doi.org/10.1038/s41598-018-22777-w
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