Functional genomic screen of cell division processes in C. elegans using RNAi: analysis of chromosome III
Pierre
Gönczy, Christophe Echeverri, Karen Oegema, Alan Coulson, Steven J. M. Jones,
Richard R. Copley, John Duperon, Jeff Oegema, Michael Brehm, Etienne Cassin,
Eva Hannak, Matthew Kirkham, Silke Pichler, Kathrin Flohrs, Anoesjka Goessen,
Sebastian Leidel, Anne-Marie Alleaume, Cécilie Martin, Nurhan Özlü, Peer Bork
& Anthony A. Hyman
Rationale
The goal of this project was to conduct a functional genomic screen to identify
genes required for cell division processes in metazoans. The early C. elegans
embryo was chosen as a model system for the following reasons. First, cell
division processes can be examined with high spatial and temporal resolution
using simple time-lapse differential interference contrast (DIC) microscopy.
Second, the C. elegans genome sequence is available. Third, using RNA
interference (RNAi), the expression of a given gene in the embryo can be abolished
in a sequence-specific manner by exposing parental germ cells to corresponding
double-stranded (ds) RNA. Thus, RNAi was applied on a genomic scale (starting
with chromosome III) to identify genes required for cell division processes.
Approach
Genomic sequences, rather than cDNAs, were used as template for generating
dsRNAs, to ensure maximal coverage and unbiased testing of each predicted
open reading frame. Primer pairs were selected using a customized algorithm,
and oligonucleotides synthesized with addition of T7 and T3 promoter sequences.
Corresponding pieces of wild-type genomic DNA were amplified by PCR, and separate
T3 and T7 RNA transcription reactions performed. Resulting single-stranded
(ss) RNAs were annealed to generate dsRNA. The quality of PCR products, ssRNAs
and dsRNAs was monitored by agarose gel electrophoresis. Pairs of random dsRNAs
were microinjected into wild-type hermaphrodite worms, and the resulting progeny
analyzed 24 hours later using time-lapse DIC microscopy. Single embryos were
filmed from shortly after fertilization until the four cell stage (~30 min
recordings), capturing 1 image every 5 seconds. This "DIC assay" was optimized
for detecting even minor deviation from the wild-type sequence of events.
At the same time, 3 injected animals were transferred to a fresh plate, which
was scored 2 and 4 days later using low magnification stereomicroscopy for
the presence of progeny, and their appearance. This "progeny test" was used
to score only gross deviations from wild-type development. Pairs of dsRNAs
that gave rise to a phenotype in either assay were split, and each individual
dsRNA tested in turn. Experiments conducted with dsRNAs corresponding to known
genetic loci, and whose loss-of-function phenotype is visible by DIC microscopy
in the one cell stage embryo, demonstrated that this screening strategy leads
to the identifcation of over 90% of predicted genes required for specific
cellular processes in the early embryo.
Outcome
2226 of the 2315 predicted open reading frames on chromosome III (~96%) were
tested to date (testing of the remaining genes is underway). dsRNAs corresponding
to 130 genes (~6% of distinct genes tested) gave rise to a phenotype detectable
in the DIC assay. Importantly, detailed analysis of time-lapse DIC recordings
placed these 130 genes into distinct phenotypic classes. In addition, dsRNAs
corresponding to 139 genes gave rise to a phenotype detectable solely in the
progeny test; 78 of these were associated with embryonic lethality, 48 with
a larval phenotype and 13 with an adult phenotype, while dsRNAs corresponding
to another 9 genes resulted in sterility of the injected animals. The list
of all genes tested, that of the 278 genes associated with phenotypes, along
with phenotypic descriptions (including sample time-lapse recording) are shown
in this database.
Conclusions
Our results demonstrate that RNAi is a powerful reverse genetics approach
which is usable on a genomic scale. Interestingly, ~46% of the genes associated
with a DIC phenotype have orthologues in other eukaryotes, indicating that
this screen provides putative gene functions for other species as well. Therefore,
this work is generating a unique functional database of cell division proteins.
The analysis will be continuted on a genome-wide basis in C. elegans
to identify the molecular nature of additional components and thus achieve
a fuller understanding of cell division processes.