Zeitschriftenaufsatz | 2018 Open Access

High-throughput fecundity measurements in Drosophila

Autor:in

Nouhaud, Pierre; Mallard, François; Poupardin, Rodolphe; Barghi, Neda; Schlötterer, Christian

Publikationen als Autor:in / Herausgeber:in der Vetmeduni

Schlötterer, Christian; Barghi, Neda

Journal

Scientific Reports

Abstrakt

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.

Schlagwörter

Algorithms; Animals; Drosophila melanogasterphysiology; Female; Fertility; Image Processing, Computer-Assistedmethods; Oviposition

Dokumententyp

Originalarbeit

CC Lizenz

CCBY

Open Access Type

Gold

ISSN/eISSN

2045-2322 -

DOI

10.1038/s41598-018-22777-w

WoS ID

WOS:000427243300020

PubMed ID

MEDLINE:29535355

Projekt

ERC ADG: The architecture of adaptation