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First published online 5 November 2003
doi: 10.1242/dev.00843

Development 130, 6257-6272 (2003)
Published by The Company of Biologists 2003
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Notch and Ras signaling pathway effector genes expressed in fusion competent and founder cells during Drosophila myogenesis

Ruben Artero1,*,{ddagger}, Eileen E. Furlong2,{dagger},{ddagger}, Karen Beckett1, Matthew P. Scott2 and Mary Baylies1,§

1 Developmental Biology Program, Sloan-Kettering Institute, Memorial Sloan-Kettering Cancer Center, 1275 York Avenue, New York, NY 10021, USA
2 Departments of Developmental Biology and Genetics, Howard Hughes Medical Institute, Beckman Center, B300, 279 Campus Drive, Stanford University School of Medicine, Stanford, California 94305-5329, USA

§ Author for correspondence (e-mail: m-baylies{at}ski.mskcc.org)

Accepted 21 August 2003

Drosophila muscles originate from the fusion of two types of myoblasts, founder cells (FCs) and fusion-competent myoblasts (FCMs). To better understand muscle diversity and morphogenesis, we performed a large-scale gene expression analysis to identify genes differentially expressed in FCs and FCMs. We employed embryos derived from Toll10b mutants to obtain primarily muscleforming mesoderm, and expressed activated forms of Ras or Notch to induce FC or FCM fate, respectively. The transcripts present in embryos of each genotype were compared by hybridization to cDNA microarrays. Among the 83 genes differentially expressed, we found genes known to be enriched in FCs or FCMs, such as heartless or hibris, previously characterized genes with unknown roles in muscle development, and predicted genes of unknown function. Our studies of newly identified genes revealed new patterns of gene expression restricted to one of the two types of myoblasts, and also striking muscle phenotypes. Whereas genes such as phyllopod play a crucial role during specification of particular muscles, others such as tartan are necessary for normal muscle morphogenesis.

Key words: Myogenesis, Founder cells, Myoblast fusion, phyllopod, Toll, Microarrays




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