An ancient role for Gata-1/2/3 and Scl transcription factor homologs in the development of immunocytes.

Although vertebrate hematopoiesis is the focus of intense study, immunocyte development is well-characterized in only a few invertebrate groups. The sea urchin embryo provides a morphologically simple model for immune cell development in an organism that is phylogenetically allied to vertebrates. Larval immunocytes, including pigment cells and several blastocoelar cell subtypes, emerge from a population of non-skeletal mesodermal (NSM) precursors that is specified at the blastula stage. This ring of cells is first partitioned into oral and aboral fields with distinct blastocoelar and pigment cell gene regulatory programs. The oral field is subsequently specified into several distinct immune and non-immune cell types during gastrulation. Here we characterize the oral NSM expression and downstream function of two homologs of key vertebrate hematopoietic transcription factors: SpGatac, an ortholog of vertebrate Gata-1/2/3 and SpScl, an ortholog of Scl/Tal-2/Lyl-1. Perturbation of SpGatac affects blastocoelar cell migration at gastrulation and later expression of immune effector genes, whereas interference with SpScl function disrupts segregation of pigment and blastocoelar cell precursors. Homologs of several transcription regulators that interact with Gata-1/2/3 and Scl factors in vertebrate hematopoiesis are also co-expressed in the oral NSM, including SpE-protein, the sea urchin homolog of vertebrate E2A/HEB/E2-2 and SpLmo2, an ortholog of a dedicated cofactor of the Scl-GATA transcription complex. Regulatory analysis of SpGatac indicates that oral NSM identity is directly suppressed in presumptive pigment cells by the transcription factor SpGcm. These findings provide part of a comparative basis to understand the evolutionary origins and regulatory biology of deuterostome immune cell differentiation in the context of a tractable gene regulatory network model.

Detection of antisense RNA transcripts by strand-specific RT-PCR.

Comprehensive genome annotation requires extensive cDNA analysis. This analysis has identified natural antisense transcripts (NATs), which are distinct from the microRNAs, siRNAs, and piRNAs, in a number of diverse eukaryotes. This wide conservation supports the possibility of an important role for NATs in regulating cellular processes. Investigating their roles requires the confirmation of expressed sequence tag (EST) data and the detection of antisense transcripts in distinct cellular backgrounds. This chapter describes the use of a reverse transcription polymerase chain reaction (RT-PCR) method for the detection of antisense transcripts. The protocol was designed to reduce the number of first strand synthesis reactions during screening for antisense transcripts through the utilization of antisense directed primers and oligo dT to prime first strand synthesis. These results are further confirmed using sense and antisense directed primers in first strand synthesis. Results indicate that optimization of the screens requires proper controls to confirm removal of gDNA contamination and to rule out self-priming as a source of first strand products.

Gene discovery and transcript analyses in the corn smut pathogen Ustilago maydis: expressed sequence tag and genome sequence comparison.

BACKGROUND: Ustilago maydis is the basidiomycete fungus responsible for common smut of corn and is a model organism for the study of fungal phytopathogenesis. To aid in the annotation of the genome sequence of this organism, several expressed sequence tag (EST) libraries were generated from a variety of U. maydis cell types. In addition to utility in the context of gene identification and structure annotation, the ESTs were analyzed to identify differentially abundant transcripts and to detect evidence of alternative splicing and anti-sense transcription. RESULTS: Four cDNA libraries were constructed using RNA isolated from U. maydis diploid teliospores (U. maydis strains 518 x 521) and haploid cells of strain 521 grown under nutrient rich, carbon starved, and nitrogen starved conditions. Using the genome sequence as a scaffold, the 15,901 ESTs were assembled into 6,101 contiguous expressed sequences (contigs); among these, 5,482 corresponded to predicted genes in the MUMDB (MIPS Ustilago maydis database), while 619 aligned to regions of the genome not yet designated as genes in MUMDB. A comparison of EST abundance identified numerous genes that may be regulated in a cell type or starvation-specific manner. The transcriptional response to nitrogen starvation was assessed using RT-qPCR. The results of this suggest that there may be cross-talk between the nitrogen and carbon signalling pathways in U. maydis. Bioinformatic analysis identified numerous examples of alternative splicing and anti-sense transcription. While intron retention was the predominant form of alternative splicing in U. maydis, other varieties were also evident (e.g. exon skipping). Selected instances of both alternative splicing and anti-sense transcription were independently confirmed using RT-PCR. CONCLUSION: Through this work: 1) substantial sequence information has been provided for U. maydis genome annotation; 2) new genes were identified through the discovery of 619 contigs that had previously escaped annotation; 3) evidence is provided that suggests the regulation of nitrogen metabolism in U. maydis differs from that of other model fungi, and 4) Alternative splicing and anti-sense transcription were identified in U. maydis and, amid similar observations in other basidiomycetes, this suggests these phenomena may be widespread in this group of fungi. These advances emphasize the importance of EST analysis in genome annotation.

Insights from the genome of the biotrophic fungal plant pathogen Ustilago maydis.

Ustilago maydis is a ubiquitous pathogen of maize and a well-established model organism for the study of plant-microbe interactions. This basidiomycete fungus does not use aggressive virulence strategies to kill its host. U. maydis belongs to the group of biotrophic parasites (the smuts) that depend on living tissue for proliferation and development. Here we report the genome sequence for a member of this economically important group of biotrophic fungi. The 20.5-million-base U. maydis genome assembly contains 6,902 predicted protein-encoding genes and lacks pathogenicity signatures found in the genomes of aggressive pathogenic fungi, for example a battery of cell-wall-degrading enzymes. However, we detected unexpected genomic features responsible for the pathogenicity of this organism. Specifically, we found 12 clusters of genes encoding small secreted proteins with unknown function. A significant fraction of these genes exists in small gene families. Expression analysis showed that most of the genes contained in these clusters are regulated together and induced in infected tissue. Deletion of individual clusters altered the virulence of U. maydis in five cases, ranging from a complete lack of symptoms to hypervirulence. Despite years of research into the mechanism of pathogenicity in U. maydis, no 'true' virulence factors had been previously identified. Thus, the discovery of the secreted protein gene clusters and the functional demonstration of their decisive role in the infection process illuminate previously unknown mechanisms of pathogenicity operating in biotrophic fungi. Genomic analysis is, similarly, likely to open up new avenues for the discovery of virulence determinants in other pathogens.