Germ stem cell (GSC) niches are fundamental for the maintenance of the immortal germ cell lineage across generations. In the nematode Caenorhabditis elegans, the simple GSC system has served as an important model for understanding stem cell biology and underlying genetic architecture. GSC niche activity in C. elegans is highly sensitive to subtle environmental and genetic variation. Quantifying variation in the C. elegans GSC niche is therefore essential; however, most methods to do so remain labor-intensive and time-consuming when screening large numbers of individuals. Here, we present a simple and efficient method to estimate the size of the C. elegans GSC niche progenitor pool. This method is ideal for detecting differences in progenitor pool size among different genotypes and environmental treatments during medium- to high-throughput applications such as forward genetic screens and quantitative genetics.

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Simplified Quantification of Progenitor Zone Size, an Indicator of Germ Stem Cell Niche Activity, in the Nematode Caenorhabditis elegans

  • Sarah R. Fausett,
  • Caroline A. Laury,
  • Rachel E. Magallon,
  • Christian Braendle

摘要

Germ stem cell (GSC) niches are fundamental for the maintenance of the immortal germ cell lineage across generations. In the nematode Caenorhabditis elegans, the simple GSC system has served as an important model for understanding stem cell biology and underlying genetic architecture. GSC niche activity in C. elegans is highly sensitive to subtle environmental and genetic variation. Quantifying variation in the C. elegans GSC niche is therefore essential; however, most methods to do so remain labor-intensive and time-consuming when screening large numbers of individuals. Here, we present a simple and efficient method to estimate the size of the C. elegans GSC niche progenitor pool. This method is ideal for detecting differences in progenitor pool size among different genotypes and environmental treatments during medium- to high-throughput applications such as forward genetic screens and quantitative genetics.