A High-Throughput Method for Quantifying <i>Drosophila</i> Fecundity
The fruit fly, <i>Drosophila melanogaster</i>, is an experimentally tractable model system that has recently emerged as a powerful “new approach methodology” (NAM) for chemical safety testing. As oogenesis is well conserved at the molecular and cellular level, measurements of <i>Dr...
| Published in: | Toxics |
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| Main Authors: | , , , , , , , , , |
| Format: | Article |
| Language: | English |
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MDPI AG
2024-09-01
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| Online Access: | https://www.mdpi.com/2305-6304/12/9/658 |
| _version_ | 1849754685817225216 |
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| author | Andreana Gomez Sergio Gonzalez Ashwini Oke Jiayu Luo Johnny B. Duong Raymond M. Esquerra Thomas Zimmerman Sara Capponi Jennifer C. Fung Todd G. Nystul |
| author_facet | Andreana Gomez Sergio Gonzalez Ashwini Oke Jiayu Luo Johnny B. Duong Raymond M. Esquerra Thomas Zimmerman Sara Capponi Jennifer C. Fung Todd G. Nystul |
| author_sort | Andreana Gomez |
| collection | DOAJ |
| container_title | Toxics |
| description | The fruit fly, <i>Drosophila melanogaster</i>, is an experimentally tractable model system that has recently emerged as a powerful “new approach methodology” (NAM) for chemical safety testing. As oogenesis is well conserved at the molecular and cellular level, measurements of <i>Drosophila</i> fecundity can be useful for identifying chemicals that affect reproductive health across species. However, standard <i>Drosophila</i> fecundity assays have been difficult to perform in a high-throughput manner because experimental factors such as the physiological state of the flies and environmental cues must be carefully controlled to achieve consistent results. In addition, exposing flies to a large number of different experimental conditions (such as chemical additives in the diet) and manually counting the number of eggs laid to determine the impact on fecundity is time-consuming. We have overcome these challenges by combining a new multiwell fly culture strategy with a novel 3D-printed fly transfer device to rapidly and accurately transfer flies from one plate to another, the RoboCam, a low-cost, custom-built robotic camera to capture images of the wells automatically, and an image segmentation pipeline to automatically identify and quantify eggs. We show that this method is compatible with robust and consistent egg laying throughout the assay period and demonstrate that the automated pipeline for quantifying fecundity is very accurate (r<sup>2</sup> = 0.98 for the correlation between the automated egg counts and the ground truth). In addition, we show that this method can be used to efficiently detect the effects on fecundity induced by dietary exposure to chemicals. Taken together, this strategy substantially increases the efficiency and reproducibility of high-throughput egg-laying assays that require exposing flies to multiple different media conditions. |
| format | Article |
| id | doaj-art-e2a24271f71a4a66b70a84f845f1f86d |
| institution | Directory of Open Access Journals |
| issn | 2305-6304 |
| language | English |
| publishDate | 2024-09-01 |
| publisher | MDPI AG |
| record_format | Article |
| spelling | doaj-art-e2a24271f71a4a66b70a84f845f1f86d2025-08-20T01:36:51ZengMDPI AGToxics2305-63042024-09-0112965810.3390/toxics12090658A High-Throughput Method for Quantifying <i>Drosophila</i> FecundityAndreana Gomez0Sergio Gonzalez1Ashwini Oke2Jiayu Luo3Johnny B. Duong4Raymond M. Esquerra5Thomas Zimmerman6Sara Capponi7Jennifer C. Fung8Todd G. Nystul9Department of Anatomy, University of California, San Francisco, CA 94143, USADepartment of Biology, San Francisco State University, San Francisco, CA 94132, USAOB/GYN Department, University of California, San Francisco, CA 94143, USADepartment of Biology, San Francisco State University, San Francisco, CA 94132, USACenter for Cellular Construction, San Francisco, CA 94158, USACenter for Cellular Construction, San Francisco, CA 94158, USACenter for Cellular Construction, San Francisco, CA 94158, USACenter for Cellular Construction, San Francisco, CA 94158, USAOB/GYN Department, University of California, San Francisco, CA 94143, USADepartment of Anatomy, University of California, San Francisco, CA 94143, USAThe fruit fly, <i>Drosophila melanogaster</i>, is an experimentally tractable model system that has recently emerged as a powerful “new approach methodology” (NAM) for chemical safety testing. As oogenesis is well conserved at the molecular and cellular level, measurements of <i>Drosophila</i> fecundity can be useful for identifying chemicals that affect reproductive health across species. However, standard <i>Drosophila</i> fecundity assays have been difficult to perform in a high-throughput manner because experimental factors such as the physiological state of the flies and environmental cues must be carefully controlled to achieve consistent results. In addition, exposing flies to a large number of different experimental conditions (such as chemical additives in the diet) and manually counting the number of eggs laid to determine the impact on fecundity is time-consuming. We have overcome these challenges by combining a new multiwell fly culture strategy with a novel 3D-printed fly transfer device to rapidly and accurately transfer flies from one plate to another, the RoboCam, a low-cost, custom-built robotic camera to capture images of the wells automatically, and an image segmentation pipeline to automatically identify and quantify eggs. We show that this method is compatible with robust and consistent egg laying throughout the assay period and demonstrate that the automated pipeline for quantifying fecundity is very accurate (r<sup>2</sup> = 0.98 for the correlation between the automated egg counts and the ground truth). In addition, we show that this method can be used to efficiently detect the effects on fecundity induced by dietary exposure to chemicals. Taken together, this strategy substantially increases the efficiency and reproducibility of high-throughput egg-laying assays that require exposing flies to multiple different media conditions.https://www.mdpi.com/2305-6304/12/9/658reproductive toxicology<i>Drosophila</i>oogenesis |
| spellingShingle | Andreana Gomez Sergio Gonzalez Ashwini Oke Jiayu Luo Johnny B. Duong Raymond M. Esquerra Thomas Zimmerman Sara Capponi Jennifer C. Fung Todd G. Nystul A High-Throughput Method for Quantifying <i>Drosophila</i> Fecundity reproductive toxicology <i>Drosophila</i> oogenesis |
| title | A High-Throughput Method for Quantifying <i>Drosophila</i> Fecundity |
| title_full | A High-Throughput Method for Quantifying <i>Drosophila</i> Fecundity |
| title_fullStr | A High-Throughput Method for Quantifying <i>Drosophila</i> Fecundity |
| title_full_unstemmed | A High-Throughput Method for Quantifying <i>Drosophila</i> Fecundity |
| title_short | A High-Throughput Method for Quantifying <i>Drosophila</i> Fecundity |
| title_sort | high throughput method for quantifying i drosophila i fecundity |
| topic | reproductive toxicology <i>Drosophila</i> oogenesis |
| url | https://www.mdpi.com/2305-6304/12/9/658 |
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