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Non-invasive DNA sampling to identify and enumerate species is critical to population monitoring and for developing effective management strategies. However, individual DNA identification is often limited by degraded and low template DNA (LT-DNA) that routinely yields partial profiles prone to technical artifacts, thus limiting their utility/reliability. Massively parallel, genotyping-by-sequencing (GBS) assays present an opportunity to amplify not only a large suite of molecular markers simultaneously, providing higher resolution to identify individuals, but also higher levels of sequence redundancy to enable quality metric evaluations of profiles from LT-DNA. Taxidea taxus jacksoni is an endangered badger subspecies in Canada, with low levels of genetic diversity, complicating individual identifications from closely related DNA sequences. Challenges arise from the small number of hairs collected from snag traps set in badger burrows that rarely provide full profiles. We designed a GBS assay to obtain microsatellite profiles compatible with pre-existing databases generated with conventional capillary electrophoresis (CE) genotyping. We assessed the assay’s reproducibility via a dilution series to mimic LT-DNA and tested if the assay produced similar CE-generated results. While GBS offers the potential to genotype large numbers of individuals and markers at the same time, we found low concordance between GBS- and CE-based genotypes from DNA templates

Populations are exposed to different types and strains of pathogens across heterogeneous landscapes, where local interactions between host and pathogen may present reciprocal selective forces leading to correlated patterns of spatial genetic structure. Understanding these coevolutionary patterns provides insight into mechanisms of disease spread and maintenance. Arctic rabies (AR) is a lethal disease with viral variants that occupy distinct geographic distributions across North America and Europe. Red fox (Vulpes vulpes)are a highly susceptible AR host, whose range overlaps both geographically distinct AR strains and regions where AR is absent. It is unclear if genetic structure exists among red fox populations relative to the presence/absence of AR or the spatial distribution of AR variants. Acquiring these data may enhance our understanding of the role of red fox in AR maintenance/spread and inform disease control strategies. Using a genotyping-by-sequencing assay targeting 116 genomic regions of immunogenetic relevance, we screened for sequence variation among red fox populations from Alaska and an outgroup from Ontario, including areas with different AR variants, and regions where the disease was absent. Presumed neutral SNP data from the assay found negligible levels of neutral genetic structure among Alaskan populations. The immunogenetically-associated data identified 30 outlier SNPs supporting weak to moderate genetic structure between regions with and without AR in Alaska. The outliers included SNPs with the potential to cause missense mutations within several toll-like receptor genes that have been associated with AR outcome. In contrast, there was a lack of genetic structure between regions with different AR variants. Combined, we interpret these data to suggest red fox populations respond differently to the presence of AR, but not AR variants. This research increases our understanding of AR dynamics in the Arctic, where host/disease patterns are undergoing flux in a rapidly changing Arctic landscape, including the continued northward expansion of red fox into regions previously predominated by the arctic fox (Vulpes lagopus).

Pseudogymnoascus destructans is the causal agent of bat white-nose syndrome (WNS), which is devastating some North American bat populations. Previous transcriptome studies provided insight regarding the molecular mechanisms involved in WNS; however, it is unclear how different environmental parameters could influence pathogenicity. This information could be useful in developing management strategies to mitigate the negative impacts of P. destructans on bats. We cultured three P. destructans isolates from Atlantic Canada on two growth media (potato dextrose agar and Sabouraud dextrose agar) that differ in their nitrogen source, and at two separate incubation temperatures (4 C and 15 C) that approximate the temperature range of bat hibernacula during the winter and a temperature within its optimal mycelial growth range. We conducted RNA sequencing to determine transcript levels in each sample and performed differential gene expression (DGE) analyses to test the influence of growth medium and incubation temperature on gene expression. We also compared our in vitro results with previous RNA-sequencing data sets generated from P. destructans growing on the wings of a susceptible host, Myotis lucifugus. Our findings point to a critical role for substrate and incubation temperature in influencing the P. destructans transcriptome. DGE analyses suggested that growth medium plays a larger role than temperature in determining P. destructans gene expression and that although the psychrophilic fungus responds to different nitrogen sources, it may have evolved for continued growth at a broad range of low temperatures. Further, our data suggest that down-regulation of the RNA-interference pathway and increased fatty acid metabolism are involved in the P. destructans-bat interaction. Finally, we speculate that to reduce the activation of host defense responses, P. destructans minimizes changes in the expression of genes encoding secreted proteins during bat colonization.

White‐nose syndrome (WNS) has devastated populations of hibernating bats in eastern North America, leading to emergency conservation listings for several species including the previously ubiquitous little brown myotis (Myotis lucifugus). However, some bat populations near the epicenter of the WNS panzootic appear to be stabilizing after initial precipitous declines, which could reflect a selective immunogenetic sweep. To investigate the hypothesis that WNS exerts significant selection on the immunome of affected bat populations, we developed a novel, high‐throughput sequence capture assay targeting 138 adaptive, intrinsic, and innate immunity genes of putative adaptive significance, as well as their respective regulatory regions (~370 kbp of genomic sequence/individual). We used the assay to explore baseline immunogenetic variation in M. lucifugus and to investigate whether particular immune genes/variants are associated with WNS susceptibility. We also used our assay to detect 1,038 putatively neutral single nucleotide polymorphisms and characterize contemporary population structure, providing context for the identification of local immunogenetic adaptation. Sequence capture provided a cost‐effective, “all‐in‐one” assay to test for neutral genetic and immunogenetic structure and revealed fine‐scale, baseline immunogenetic differentiation between sampling sites

A potential cause of amphibian population declines are the impacts of environmental degradation on tadpole development. We conducted RNA sequencing on developing northern leopard frog tadpoles and through de novo transcriptome assembly we annotated a large number of open reading frames comparable in number and extent to genes identified in Xenopus. Using our transcriptome, we found transcript level changes between early (Gosner 26-31) and late (Gosner 36-41) stage tadpoles were the greatest in the tail, which is reabsorbed throughout development. There was an up-regulation of immunity genes in both the head and tail of the late tadpoles and a down-regulation of genes associated with the energy pathways of the mitochondria and the production of myosin. Overall, transcript level changes across development were consistent with studies on Xenopus and our findings highlight the broader utility of using RNA-seq to identify genes differentially expressed throughout development and in response to environmental pressures.

Spillover of viruses from bats to other animals may be associated with increased contact between them, as well as increased shedding of viruses by bats. Here, we tested the prediction that little brown bats (Myotis lucifugus) co-infected with the M. lucifugus coronavirus (Myl-CoV) and with Pseudogymnoascus destructans (Pd), the fungus that causes bat white-nose syndrome (WNS), exhibit different disease severity, viral shedding and molecular responses than bats infected with only Myl-CoV or only P. destructans. We took advantage of the natural persistence of Myl-CoV in bats that were experimentally inoculated with P. destructans in a previous study. Here, we show that the intestines of virus-infected bats that were also infected with fungus contained on average 60-fold more viral RNA than bats with virus alone. Increased viral RNA in the intestines correlated with the severity of fungus-related pathology. Additionally, the intestines of bats infected with fungus exhibited different expression of mitogen-activated protein kinase pathway and cytokine related transcripts, irrespective of viral presence. Levels of coronavirus antibodies were also higher in fungal-infected bats. Our results suggest that the systemic effects of WNS may down-regulate anti-viral responses in bats persistently infected with M. lucifugus coronavirus and increase the potential of virus shedding.

Summary Fungi are models for investigating many eukaryotic molecular processes. The identification of natural antisense transcripts (NATs) in fungi led to the discovery of mechanisms for controlling gene expression through transcriptional interference, chromatin remodelling and dsRNA formation. An overview of these mechanisms and the description of specific NAT functions is provided to give context for a broader discussion of fungal NATs. Transcriptome analyses have revealed a large number of NATs in a divergent group of fungi. The timing of NAT expression suggests roles in core life functions, such as responding to the environment and sexual reproduction. The transcriptome studies also uncover a large number of NATs whose functions remain elusive. These could provide novel control of gene expression, targeted responses to stimuli, or other functions. The goal of this review is provide background for this expanding field of research while highlighting opportunities for future discoveries.

In the corn smut pathogen, Ustilago maydis, meiosis and teliospore germination are temporally linked. We review teliospore dormancy and germination in U. maydis and present an overview of meiosis in basidiomycetes. The relevant available expressed sequence tag data is discussed, the databases used in reciprocal best hit blastp analysis are presented and potential U. maydis meiosis genes are identified. The implications of identifying these genes are discussed and hypotheses are presented regarding the control of meiosis in U. maydis.

Fungal spores lend the smut and rust plant diseases their names. Smut fungi produce massive numbers of dark, dust like, thick walled teliospores and the name, smut, is derived from the older definition meaning dark smudge from soot, smoke or dirt. The rust fungi produce diseases characterised by the production of pustules erupting from the plant surface. They contain urediniospores which are often orange or rusty in colour. Spores are essential for fungal survival, providing a means of dispersal and often a structure to protect the fungus; they are also integral to fungal meiosis. Smut and rust fungi are biotrophs, meaning they derive their nutrients from living plant hosts. This interaction is very intimate, involving fungal penetration of the plant cell walls but not the plasma membranes (e.g. Snetselaar & Mims, 1992; Voegele & Mendgen, 2003). As such, most smut and rust fungi have only evolved to infect (and become meiotically competent within) one or a limited number of host species.

Ustilago maydis is the model for investigating basidiomycete biotrophic plant pathogens. To further the annotation of its genome, 12,943 full-length cDNA sequences were used to construct databases for the promoter and untranslated regions of U. maydis genes. A subset of clones was sequenced to determine full cDNA sequences. These and the original ESTs were assembled into contigs representing 3,058, or 45%, of the predicted U. maydis genes. The new sequencing allowed the confirmation of 2,842 gene models, 690 of which contain an intron. The use of full-length cDNA clone sequences ensured that untranslated regions were physically linked to the open reading frames (ORFs), not merely aligned upstream of the start of transcription. Identified sequence features include: (1) over 500 potential short upstream ORFs, (2) 95 gene models that require further annotation, (3) one new potential ORF, (4) varying GC content in different gene regions, (5) a WebLogo motif for the start of translation, (6) the correlation of UTR length with transcript representation in cDNA libraries and with gene function categories, (7) a relationship between natural antisense transcripts and UTR length that differs from that of Saccharomyces cerevisiae, (8) a potential relationship between DNA replication and the control of transcription, and (9) new insights regarding mechanisms for the control of transcription and mRNA maturation in U. maydis.

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.

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.

Background Rust fungi are biotrophic basidiomycete plant pathogens that cause major diseases on plants and trees world-wide, affecting agriculture and forestry. Their biotrophic nature precludes many established molecular genetic manipulations and lines of research. The generation of genomic resources for these microbes is leading to novel insights into biology such as interactions with the hosts and guiding directions for breakthrough research in plant pathology. Results To support gene discovery and gene model verification in the genome of the wheat leaf rust fungus, Puccinia triticina (Pt), we have generated Expressed Sequence Tags (ESTs) by sampling several life cycle stages. We focused on several spore stages and isolated haustorial structures from infected wheat, generating 17,684 ESTs. We produced sequences from both the sexual (pycniospores, aeciospores and teliospores) and asexual (germinated urediniospores) stages of the life cycle. From pycniospores and aeciospores, produced by infecting the alternate host, meadow rue (Thalictrum speciosissimum), 4,869 and 1,292 reads were generated, respectively. We generated 3,703 ESTs from teliospores produced on the senescent primary wheat host. Finally, we generated 6,817 reads from haustoria isolated from infected wheat as well as 1,003 sequences from germinated urediniospores. Along with 25,558 previously generated ESTs, we compiled a database of 13,328 non-redundant sequences (4,506 singlets and 8,822 contigs). Fungal genes were predicted using the EST version of the self-training GeneMarkS algorithm. To refine the EST database, we compared EST sequences by BLASTN to a set of 454 pyrosequencing-generated contigs and Sanger BAC-end sequences derived both from the Pt genome, and to ESTs and genome reads from wheat. A collection of 6,308 fungal genes was identified and compared to sequences of the cereal rusts, Puccinia graminis f. sp. tritici (Pgt) and stripe rust, P. striiformis f. sp. tritici (Pst), and poplar leaf rust Melampsora species, and the corn smut fungus, Ustilago maydis (Um). While extensive homologies were found, many genes appeared novel and species-specific; over 40% of genes did not match any known sequence in existing databases. Focusing on spore stages, direct comparison to Um identified potential functional homologs, possibly allowing heterologous functional analysis in that model fungus. Many potentially secreted protein genes were identified by similarity searches against genes and proteins of Pgt and Melampsora spp., revealing apparent orthologs. Conclusions The current set of Pt unigenes contributes to gene discovery in this major cereal pathogen and will be invaluable for gene model verification in the genome sequence.