Thomas J. Boyle

The lineaging of fluorescently-labeled Caenorhabditis elegans embryos with StarryNite and AceTree

Lineage analysis of Caenorhabditis elegans is a powerful tool for characterizing developmental phenotypes and embryonic gene-expression patterns. We present a detailed protocol for the lineaging of embryos by computational analysis of 4D images of embryos that ubiquitously express histone–GFP (green fluorescent protein) fusion proteins through the 350 cell stage followed by manual editing. We describe how to optimize imaging settings for this purpose, the use of the lineage-extraction software, StarryNite, and the lineage-editing software, AceTree. In addition, we describe a useful polymer bead mounting technique for C. elegans embryos that has several advantages compared with the standard agar pad mounting technique. The protocol requires about 1 h of user time spread over 2 days to generate the raw lineage, and an additional 2 or 4 h to edit the lineage to the 194- or 350-cell stage, respectively.

AceTree: a tool for visual analysis of Caenorhabditis elegans embryogenesis

BackgroundThe invariant lineage of the nematode Caenorhabditis elegans has potential as a powerful tool for the description of mutant phenotypes and gene expression patterns. We previously described procedures for the imaging and automatic extraction of the cell lineage from C. elegans embryos. That method uses time-lapse confocal imaging of a strain expressing histone-GFP fusions and a software package, StarryNite, processes the thousands of images and produces output files that describe the location and lineage relationship of each nucleus at each time point.ResultsWe have developed a companion software package, AceTree, which links the images and the annotations using tree representations of the lineage. This facilitates curation and editing of the lineage. AceTree also contains powerful visualization and interpretive tools, such as space filling models and tree-based expression patterning, that can be used to extract biological significance from the data.ConclusionBy pairing a fast lineaging program written in C with a user interface program written in Java we have produced a powerful software suite for exploring embryonic development.

Comparative analysis of embryonic cell lineage between Caenorhabditis briggsae and Caenorhabditis elegans

Comparative genomic analysis of important signaling pathways in Caenorhabditis briggsae and Caenorhabditis elegans reveals both conserved features and also differences. To build a framework to address the significance of these features we determined the C. briggsae embryonic cell lineage, using the tools StarryNite and AceTree. We traced both cell divisions and cell positions for all cells through all but the last round of cell division and for selected cells through the final round. We found the lineage to be remarkably similar to that of C. elegans. Not only did the founder cells give rise to similar numbers of progeny, the relative cell division timing and positions were largely maintained. These lineage similarities appear to give rise to similar cell fates as judged both by the positions of lineally equivalent cells and by the patterns of cell deaths in both species. However, some reproducible differences were seen, e.g., the P4 cell cycle length is more than 40% longer in C. briggsae than that in C. elegans (p<0.01). The extensive conservation of embryonic development between such divergent species suggests that substantial evolutionary distance between these two species has not altered these early developmental cellular events, although the developmental defects of transpecies hybrids suggest that the details of the underlying molecular pathways have diverged sufficiently so as to not be interchangeable.

Control of cell cycle timing during C. elegans embryogenesis

As a fundamental process of development, cell proliferation must be coordinated with other processes such as fate differentiation. Through statistical analysis of individual cell cycle lengths of the first 8 out of 10 rounds of embryonic cell division in Caenorhabditis elegans, we identified synchronous and invariantly ordered divisions that are tightly associated with fate differentiation. Our results suggest a three-tier model for fate control of cell cycle pace: the primary control of cell cycle pace is established by lineage and the founder cell fate, then fine-tuned by tissue and organ differentiation within each lineage, then further modified by individualization of cells as they acquire unique morphological and physiological roles in the variant body plan. We then set out to identify the pace-setting mechanisms in different fates. Our results suggest that ubiquitin-mediated degradation of CDC-25.1 is a rate-determining step for the E (gut) and P(3) (muscle and germline) lineages but not others, even though CDC-25.1 and its apparent decay have been detected in all lineages. Our results demonstrate the power of C. elegans embryogenesis as a model to dissect the interaction between differentiation and proliferation, and an effective approach combining genetic and statistical analysis at single-cell resolution.

New tools for investigating the comparative biology of Caenorhabditis briggsae and C. elegans.

Comparative studies of Caenorhabditis briggsae and C. elegans have provided insights into gene function and developmental control in both organisms. C. elegans is a well developed model organism with a variety of molecular and genetic tools to study gene functions. In contrast, there are only very limited tools available for its closest relative, C. briggsae. To take advantage of the full potential of this comparative approach, we have developed several genetic and molecular tools to facilitate functional analysis in C. briggsae. First, we designed and implemented an SNP-based oligonucleotide microarray for rapid mapping of genetic mutants in C. briggsae. Second, we generated a mutagenized frozen library to permit the isolation of targeted deletions and used the library to recover a deletion mutant of cbr-unc-119 for use as a transgenic marker. Third, we used the cbr-unc-119 mutant in ballistic transformation and generated fluorescently labeled strains that allow automated lineaging and cellular resolution expression analysis. Finally, we demonstrated the potential of automated lineaging by profiling expression of egl-5, hlh-1, and pha-4 at cellular resolution and by detailed phenotyping of the perturbations on the Wnt signaling pathway. These additions to the experimental toolkit for C. briggsae should greatly increase its utility in comparative studies with C. elegans. With the emerging sequence of nematode species more closely related to C. briggsae, these tools may open novel avenues of experimentation in C. briggsae itself.

Specific roles for the GATA transcription factors end-1 and end-3 during C. elegans E-lineage development.

end-1 and end-3 are GATA transcription factors important for specifying endoderm cell fate in Caenorhabditis elegans. Deletion of both factors together results in larval arrest, 0% survival and a fate change in the endoderm-specifying E lineage. Individual deletions of either factor, however, result in the development of viable, fertile adults, with 100% of worms developing to adults for end-1(-) and 95% for end-3(-). We sought to quantify the variable phenotypes seen in both deletions using automated cell lineaging. We quantified defects in cell lifetime, cell movement and division axis in end-3(-) embryos, while quantifying perturbations in downstream reporter gene expression in strains with homozygous deletions for either gene, showing that each deletion leads to a unique profile of downstream perturbations in gene expression and cellular phenotypes with a high correlation between early and late defects. Combining observations in both cellular and gene expression defects we found that misaligned divisions at the E2 stage resulted in ectopic expression of the Notch target ref-1 in end-3(-) embryos. Using a maximum likelihood phylogenetic approach we found end-1 and end-3 split to form two distinct clades within the Caenorhabditis lineage with distinct DNA-binding structures. These results indicate that end-1 and end-3 have each evolved into genes with unique functions during endoderm development, that end-3(-) embryos have a delay in the onset of E lineage cell fate and that end-1 has only a partially penetrant ability to activate E lineage fate.

A Negative Regulatory Loop between MicroRNA and Hox Gene Controls Posterior Identities in Caenorhabditis elegans

MicroRNAs (miRNAs) have been found to regulate gene expression across eukaryotic species, but the function of most miRNA genes remains unknown. Here we describe how the analysis of the expression patterns of a well-conserved miRNA gene, mir-57, at cellular resolution for every minute during early development of Caenorhabditis elegans provided key insights in understanding its function. Remarkably, mir-57 expression shows strong positional bias but little tissue specificity, a pattern reminiscent of Hox gene function. Despite the minor defects produced by a loss of function mutation, overexpression of mir-57 causes dramatic posterior defects, which also mimic the phenotypes of mutant alleles of a posterior Hox gene, nob-1, an Abd homolog. More importantly, nob-1 expression is found in the same two posterior AB sublineages as those expressing mir-57 but with an earlier onset. Intriguingly, nob-1 functions as an activator for mir-57 expression; it is also a direct target of mir-57. In agreement with this, loss of mir-57 function partially rescues the nob-1 allele defects, indicating a negative feedback regulatory loop between the miRNA and Hox gene to provide positional cues. Given the conservation of the miRNA and Hox gene, the regulatory mechanism might be broadly used across species. The strategy used here to explore mir-57 function provides a path to dissect the regulatory relationship between genes.

A High Fidelity Cell Lineage Tracing Method for Obtaining Systematic Spatiotemporal Gene Expression Patterns in Caenorhabditis elegans

Advances in microscopy and fluorescent reporters have allowed us to detect the onset of gene expression on a cell-by-cell basis in a systematic fashion. This information, however, is often encoded in large repositories of images, and developing ways to extract this spatiotemporal expression data is a difficult problem that often uses complex domain-specific methods for each individual data set. We present a more unified approach that incorporates general previous information into a hierarchical probabilistic model to extract spatiotemporal gene expression from 4D confocal microscopy images of developing Caenorhabditis elegans embryos. This approach reduces the overall error rate of our automated lineage tracing pipeline by 3.8-fold, allowing us to routinely follow the C. elegans lineage to later stages of development, where individual neuronal subspecification becomes apparent. Unlike previous methods that often use custom approaches that are organism specific, our method uses generalized linear models and extensions of standard reversible jump Markov chain Monte Carlo methods that can be readily extended to other organisms for a variety of biological inference problems relating to cell fate specification. This modeling approach is flexible and provides tractable avenues for incorporating additional previous information into the model for similar difficult high-fidelity/low error tolerance image analysis problems for systematically applied genomic experiments.