Faculty Publications

Publication Date

2012

Disciplines

Genetics and Genomics

Abstract

A central goal of microRNA biology is to elucidate the genetic program of miRNA function and regulation. However, relatively few of the effectors that execute miRNA repression have been identified. Because such genes may function in many developmental processes, mutations in them are expected to be pleiotropic and thus are discarded in most standard genetic screens. Here, we describe a systematic screen designed to identify all Drosophila genes in ~40% of the genome that function in the miRNA pathway. To identify potentially pleiotropic genes, the screen analyzed clones of homozygous mutant cells in heterozygous animals. We identified 45 mutations representing 24 genes, and we molecularly characterized 9 genes. These include 4 previously known genes that encode core components of the miRNA pathway, including Drosha, Pasha, Dicer-1, and Ago1. The rest are new genes that function through chromatin remodeling, signaling, and mRNA decapping. The results suggest genetic screens that use clonal analysis can elucidate the miRNA program and that ~100 genes are required to execute the miRNA program.

Document Type

Published Version

Comments

This article is the publisher-created version, also considered to be the final version or the version of record. It includes value-added elements provided by the publisher, such as copy editing, layout changes, and branding consistent with the rest of the publication.

Rights

Copyright © 2012 Pressman et al. This is an open-access article distributed under the terms of the Creative Commons Attribution Unported License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

Original Citation

Sigal Pressman, Catherine A. Reinke, Xiaohong Wang, and Richard W. Carthew
A systematic genetic screen to dissect the microRNA pathway in Drosophila.
G3: Genes Genomes Genetics, 2012, volume 2, issue 4, pages 437-48
doi:10.1534/g3.112.002030

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