Automated and customizable quantitative image analysis of whole C. elegans germlines
E. Toraason, V. L. Adler, N. A. Kurhanewicz, A. DiNardo, A. M. Saunders, C. K. Cahoon, D. E. Libuda
Abstract
Arranged in a spatial-temporal gradient for germ cell development, the adult germline of Caenorhabditis elegans is an excellent system for understanding the generation, differentiation, function, and maintenance of germ cells. Imaging whole C. elegans germlines along the distal-proximal axis enables powerful cytological analyses of germ cell nuclei as they progress from the pre-meiotic tip through all the stages of meiotic prophase I. To enable high-throughput image analysis of whole C. elegans gonads, we developed a custom algorithm and pipelines to function with image processing software that enables: 1) quantification of cytological features at single nucleus resolution from immunofluorescence images; and, 2) assessment of these individual nuclei based on their position within the germline. We demonstrate the capability of our quantitative image analysis approach by analyzing multiple cytological features of meiotic nuclei in whole C. elegans germlines. First, we quantify double strand DNA breaks (DSBs) per nucleus by analyzing DNA-associated foci of the recombinase RAD-51 at the single-nucleus resolution in the context of whole germline progression. Second, we quantify the DSBs that are licensed for crossover repair by analyzing foci of MSH-5 and COSA-1 when they associate with the synaptonemal complex during meiotic prophase progression. Finally, we quantify P-granule composition across the whole germline by analyzing the colocalization of PGL-1 and ZNFX-1 foci. Our image analysis pipeline is an adaptable and useful method for researchers spanning multiple fields utilizing the C. elegans germline as a model system.
02 /Specification & Classification
Click any tag to browse matching papers- Organism
- Assay
- Research Focus
- Approach
Reproducibility ledger
Nobody has reported trying to reproduce this paper yet. Did you replicate an experiment or run the code? Your report saves the next lab a week.
Sign in to file a reproducibility report.
Related papers
- CentTracker: a trainable, machine learning-based tool for large-scale analyses of C. elegans germline stem cell mitosis
M. R. Zellag, Y. Zhao, … A. R. Gerhold·bioRxiv·Nov 22, 2020
- Expanding the C. elegans toolkit with gonad explants
Réda M. Zellag, Eric Cheng, … Jean-Claude Labbé·DevelopmentPeer-reviewed·Jul 6, 2026
- Caenorhabditis elegans form sexually dimorphic and dynamic germ granules throughout meiotic prophase I progression
Acadia L. DiNardo, Diana E. Libuda·bioRxiv·Apr 30, 2026
- Automated identification and registration of anatomical landmarks in C. elegans
Nicolette M. Laird, Zachary Pincus·bioRxiv·Mar 29, 2022
- Transcriptomic Analysis of the Spatiotemporal Axis of Oogenesis and Fertilization in C. elegans
Yangqi Su, Jonathan Shea, … Zhengchang Su·Frontiers in Cell and Developmental BiologyPeer-reviewed·Aug 19, 2024
- Statistical image processing quantifies the changes in cytoplasmic texture associated with aging in Caenorhabditis elegans oocytes
Momoko Imakubo, Jun Takayama, … Shuichi Onami·BMC BioinformaticsPeer-reviewed·Feb 17, 2021