Deoptimization of FMDV P1 Region Results in Robust Serotype-Independent Viral Attenuation.

Foot-and-mouth disease (FMD), caused by the FMD virus (FMDV), is a highly contagious disease of cloven-hoofed livestock that can have severe economic impacts. Control and prevention strategies, including the development of improved vaccines, are urgently needed to effectively control FMD outbreaks in endemic settings. Previously, we employed two distinct strategies (codon pair bias deoptimization (CPD) and codon bias deoptimization (CD)) to deoptimize various regions of the FMDV serotype A subtype A12 genome, which resulted in the development of an attenuated virus in vitro and in vivo, inducing varying levels of humoral responses. In the current study, we examined the versatility of the system by using CPD applied to the P1 capsid coding region of FMDV serotype A subtype, A24, and another serotype, Asia1. Viruses carrying recoded P1 (A24-P1Deopt or Asia1-P1Deopt) exhibited different degrees of attenuation (i.e., delayed viral growth kinetics and replication) in cultured cells. Studies in vivo using a mouse model of FMD demonstrated that inoculation with the A24-P1Deopt and Asia1-P1Deopt strains elicited a strong humoral immune response capable of offering protection against challenge with homologous wildtype (WT) viruses. However, different results were obtained in pigs. While clear attenuation was detected for both the A24-P1Deopt and Asia1-P1Deopt strains, only a limited induction of adaptive immunity and protection against challenge was detected, depending on the inoculated dose and serotype deoptimized. Our work demonstrates that while CPD of the P1 coding region attenuates viral strains of multiple FMDV serotypes/subtypes, a thorough assessment of virulence and induction of adaptive immunity in the natural host is required in each case in order to finely adjust the degree of deoptimization required for attenuation without affecting the induction of protective adaptive immune responses.

Correction: The genetic consequences of dog breed formation-Accumulation of deleterious genetic variation and fixation of mutations associated with myxomatous mitral valve disease in cavalier King Charles spaniels.

[This corrects the article DOI: 10.1371/journal.pgen.1009726.].

The genetic consequences of dog breed formation-Accumulation of deleterious genetic variation and fixation of mutations associated with myxomatous mitral valve disease in cavalier King Charles spaniels.

Selective breeding for desirable traits in strictly controlled populations has generated an extraordinary diversity in canine morphology and behaviour, but has also led to loss of genetic variation and random entrapment of disease alleles. As a consequence, specific diseases are now prevalent in certain breeds, but whether the recent breeding practice led to an overall increase in genetic load remains unclear. Here we generate whole genome sequencing (WGS) data from 20 dogs per breed from eight breeds and document a ~10% rise in the number of derived alleles per genome at evolutionarily conserved sites in the heavily bottlenecked cavalier King Charles spaniel breed (cKCs) relative to in most breeds studied here. Our finding represents the first clear indication of a relative increase in levels of deleterious genetic variation in a specific breed, arguing that recent breeding practices probably were associated with an accumulation of genetic load in dogs. We then use the WGS data to identify candidate risk alleles for the most common cause for veterinary care in cKCs-the heart disease myxomatous mitral valve disease (MMVD). We verify a potential link to MMVD for candidate variants near the heart specific NEBL gene in a dachshund population and show that two of the NEBL candidate variants have regulatory potential in heart-derived cell lines and are associated with reduced NEBL isoform nebulette expression in papillary muscle (but not in mitral valve, nor in left ventricular wall). Alleles linked to reduced nebulette expression may hence predispose cKCs and other breeds to MMVD via loss of papillary muscle integrity.

Transcriptomic analysis of the woodchuck model of chronic hepatitis B.

UNLABELLED: The Eastern woodchuck (Marmota monax) is naturally infected with woodchuck hepatitis virus (WHV), a hepadnavirus closely related to the human hepatitis B virus (HBV). The woodchuck is used as an animal model for studying chronic hepatitis B (CHB) and HBV-associated hepatocellular carcinoma (HCC) in humans, but the lack of sequence information has hitherto precluded functional genomics analysis. To address this major limitation of the model, we report here the sequencing, assembly, and annotation of the woodchuck transcriptome, together with the generation of custom woodchuck microarrays. Using this new platform, we characterized the transcriptional response to persistent WHV infection and WHV-induced HCC. This revealed that chronic WHV infection, like HBV, is associated with (1) a limited intrahepatic type I interferon response; (2) intrahepatic induction of markers associated with T cell exhaustion; (3) elevated levels of suppressor of cytokine signaling 3 (SOCS3) in the liver; and (4) intrahepatic accumulation of neutrophils. Underscoring the translational value of the woodchuck model, this study also determined that WHV-induced HCC shares molecular characteristics with a subtype of human HCC with poor prognosis. CONCLUSION: Our data establish the translational value of the woodchuck model and provide new insight into immune pathways which may play a role either in the persistence of HBV infection or the sequelae of CHB.

The evolutionary analysis of emerging low frequency HIV-1 CXCR4 using variants through time--an ultra-deep approach.

Large-scale parallel pyrosequencing produces unprecedented quantities of sequence data. However, when generated from viral populations current mapping software is inadequate for dealing with the high levels of variation present, resulting in the potential for biased data loss. In order to apply the 454 Life Sciences' pyrosequencing system to the study of viral populations, we have developed software for the processing of highly variable sequence data. Here we demonstrate our software by analyzing two temporally sampled HIV-1 intra-patient datasets from a clinical study of maraviroc. This drug binds the CCR5 coreceptor, thus preventing HIV-1 infection of the cell. The objective is to determine viral tropism (CCR5 versus CXCR4 usage) and track the evolution of minority CXCR4-using variants that may limit the response to a maraviroc-containing treatment regimen. Five time points (two prior to treatment) were available from each patient. We first quantify the effects of divergence on initial read k-mer mapping and demonstrate the importance of utilizing population-specific template sequences in relation to the analysis of next-generation sequence data. Then, in conjunction with coreceptor prediction algorithms that infer HIV tropism, our software was used to quantify the viral population structure pre- and post-treatment. In both cases, low frequency CXCR4-using variants (2.5-15%) were detected prior to treatment. Following phylogenetic inference, these variants were observed to exist as distinct lineages that were maintained through time. Our analysis, thus confirms the role of pre-existing CXCR4-using virus in the emergence of maraviroc-insensitive HIV. The software will have utility for the study of intra-host viral diversity and evolution of other fast evolving viruses, and is available from http://www.bioinf.manchester.ac.uk/segminator/.

Analysis of TSC cortical tubers by deep sequencing of TSC1, TSC2 and KRAS demonstrates that small second-hit mutations in these genes are rare events.

Tuberous sclerosis complex (TSC) is an often severe neurocutaneous syndrome. Cortical tubers are the predominant neuropathological finding in TSC, and their number and location has been shown to correlate roughly with the severity of neurologic features in TSC. Past studies have shown that genomic deletion events in TSC1 or TSC2 are very rare in tubers, and suggested the potential involvement of the MAPK pathway in their pathogenesis. We used deep sequencing to assess all coding exons of TSC1 and TSC2, and the activating mutation hot spots within KRAS in 46 tubers from TSC patients. Germline heterozygous mutations were identified in 81% of tubers. The same secondary mutation in TSC2 was identified in six tuber samples from one individual. Further study showed that this second hit mutation was widely distributed in the cortex from one cerebral hemisphere of this individual at frequencies up to 10%. No other secondary mutations were found in the other 40 tubers analyzed. These data indicate that small second hit mutations in any of these three genes are very rare in TSC tubers. However, in one TSC individual, a second hit TSC2 point mutation occurred early during brain development, and likely contributed to tuber formation.

Second generation sequencing of the mesothelioma tumor genome.

The current paradigm for elucidating the molecular etiology of cancers relies on the interrogation of small numbers of genes, which limits the scope of investigation. Emerging second-generation massively parallel DNA sequencing technologies have enabled more precise definition of the cancer genome on a global scale. We examined the genome of a human primary malignant pleural mesothelioma (MPM) tumor and matched normal tissue by using a combination of sequencing-by-synthesis and pyrosequencing methodologies to a 9.6X depth of coverage. Read density analysis uncovered significant aneuploidy and numerous rearrangements. Method-dependent informatics rules, which combined the results of different sequencing platforms, were developed to identify and validate candidate mutations of multiple types. Many more tumor-specific rearrangements than point mutations were uncovered at this depth of sequencing, resulting in novel, large-scale, inter- and intra-chromosomal deletions, inversions, and translocations. Nearly all candidate point mutations appeared to be previously unknown SNPs. Thirty tumor-specific fusions/translocations were independently validated with PCR and Sanger sequencing. Of these, 15 represented disrupted gene-encoding regions, including kinases, transcription factors, and growth factors. One large deletion in DPP10 resulted in altered transcription and expression of DPP10 transcripts in a set of 53 additional MPM tumors correlated with survival. Additionally, three point mutations were observed in the coding regions of NKX6-2, a transcription regulator, and NFRKB, a DNA-binding protein involved in modulating NFKB1. Several regions containing genes such as PCBD2 and DHFR, which are involved in growth factor signaling and nucleotide synthesis, respectively, were selectively amplified in the tumor. Second-generation sequencing uncovered all types of mutations in this MPM tumor, with DNA rearrangements representing the dominant type.

Ultra deep sequencing detects a low rate of mosaic mutations in tuberous sclerosis complex.

Tuberous sclerosis complex (TSC) is an autosomal dominant neurocutaneous syndrome caused by mutations in TSC1 and TSC2. However, 10-15% TSC patients have no mutation identified with conventional molecular diagnostic studies. We used the ultra-deep pyrosequencing technique of 454 Sequencing to search for mosaicism in 38 TSC patients who had no TSC1 or TSC2 mutation identified by conventional methods. Two TSC2 mutations were identified, each at 5.3% read frequency in different patients, consistent with mosaicism. Both mosaic mutations were confirmed by several methods. Five of 38 samples were found to have heterozygous non-mosaic mutations, which had been missed in earlier analyses. Several other possible low-frequency mosaic mutations were identified by deep sequencing, but were discarded as artifacts by secondary studies. The low frequency of detection of mosaic mutations, two (6%) of 33, suggests that the majority of TSC patients who have no mutation identified are not due to mosaicism, but rather other causes, which remain to be determined. These findings indicate the ability of deep sequencing, coupled with secondary confirmatory analyses, to detect low-frequency mosaic mutations.

Detection of low-frequency pretherapy chemokine (CXC motif) receptor 4 (CXCR4)-using HIV-1 with ultra-deep pyrosequencing.

OBJECTIVE: Identification of low-frequency variants is of clinical importance in the identification of preexisting drug resistance. Using 'ultra-deep' sequencing, we address the detection of potential resistance to the chemokine (C-C motif) receptor 5 (CCR5) antagonist, maraviroc, due to the pretreatment presence of low levels of chemokine (CXC motif) receptor 4 (CXCR4)-using virus. METHODS: We present a novel protocol for the phenotyping of HIV based on '454' pyrosequence data and apply this to two large data sets comprised of 104 628 (before treatment, day 1) and 191 637 (after treatment, day 11) reads from the envelope region. We study resistance in the context of the evolutionary history of the intrapatient viral population. Variation was also investigated both within and outside the V3 region, the region associated with the receptor switch. RESULTS: CXCR4-using virus can be detected at low frequency prior to maraviroc treatment ( approximately 0.5%) and at high frequency after failure of monotherapy ( approximately 81%). Inferring an evolutionary tree from the 1674 unique reads that span the V3 region confirms that the CXCR4-using population emerged from low-frequency CXCR4-using variants present before treatment. Changes in the frequency of amino acid residues used at individual sites were found in regions outside the V3 region, indicative of other potential sites associated with receptor usage. CONCLUSION: We have provided a high-resolution snapshot of intrapatient viral variation, prior and after treatment with maraviroc, and detected preexisting CXCR4-using variants present at an extremely low frequency. The evolutionary analysis demonstrates the extent of diversity present at a single time point within an infected individual and the rapid effect of drug pressure on the structure of a viral population.

Transcriptome sequencing of malignant pleural mesothelioma tumors.

Cancers arise by the gradual accumulation of mutations in multiple genes. We now use shotgun pyrosequencing to characterize RNA mutations and expression levels unique to malignant pleural mesotheliomas (MPMs) and not present in control tissues. On average, 266 Mb of cDNA were sequenced from each of four MPMs, from a control pulmonary adenocarcinoma (ADCA), and from normal lung tissue. Previously observed differences in MPM RNA expression levels were confirmed. Point mutations were identified by using criteria that require the presence of the mutation in at least four reads and in both cDNA strands and the absence of the mutation from sequence databases, normal adjacent tissues, and other controls. In the four MPMs, 15 nonsynonymous mutations were discovered: 7 were point mutations, 3 were deletions, 4 were exclusively expressed as a consequence of imputed epigenetic silencing, and 1 was putatively expressed as a consequence of RNA editing. Notably, each MPM had a different mutation profile, and no mutated gene was previously implicated in MPM. Of the seven point mutations, three were observed in at least one tumor from 49 other MPM patients. The mutations were in genes that could be causally related to cancer and included XRCC6, PDZK1IP1, ACTR1A, and AVEN.

A high quality draft consensus sequence of the genome of a heterozygous grapevine variety.

BACKGROUND: Worldwide, grapes and their derived products have a large market. The cultivated grape species Vitis vinifera has potential to become a model for fruit trees genetics. Like many plant species, it is highly heterozygous, which is an additional challenge to modern whole genome shotgun sequencing. In this paper a high quality draft genome sequence of a cultivated clone of V. vinifera Pinot Noir is presented. PRINCIPAL FINDINGS: We estimate the genome size of V. vinifera to be 504.6 Mb. Genomic sequences corresponding to 477.1 Mb were assembled in 2,093 metacontigs and 435.1 Mb were anchored to the 19 linkage groups (LGs). The number of predicted genes is 29,585, of which 96.1% were assigned to LGs. This assembly of the grape genome provides candidate genes implicated in traits relevant to grapevine cultivation, such as those influencing wine quality, via secondary metabolites, and those connected with the extreme susceptibility of grape to pathogens. Single nucleotide polymorphism (SNP) distribution was consistent with a diffuse haplotype structure across the genome. Of around 2,000,000 SNPs, 1,751,176 were mapped to chromosomes and one or more of them were identified in 86.7% of anchored genes. The relative age of grape duplicated genes was estimated and this made possible to reveal a relatively recent Vitis-specific large scale duplication event concerning at least 10 chromosomes (duplication not reported before). CONCLUSIONS: Sanger shotgun sequencing and highly efficient sequencing by synthesis (SBS), together with dedicated assembly programs, resolved a complex heterozygous genome. A consensus sequence of the genome and a set of mapped marker loci were generated. Homologous chromosomes of Pinot Noir differ by 11.2% of their DNA (hemizygous DNA plus chromosomal gaps). SNP markers are offered as a tool with the potential of introducing a new era in the molecular breeding of grape.

Paired-end mapping reveals extensive structural variation in the human genome.

Structural variation of the genome involves kilobase- to megabase-sized deletions, duplications, insertions, inversions, and complex combinations of rearrangements. We introduce high-throughput and massive paired-end mapping (PEM), a large-scale genome-sequencing method to identify structural variants (SVs) approximately 3 kilobases (kb) or larger that combines the rescue and capture of paired ends of 3-kb fragments, massive 454 sequencing, and a computational approach to map DNA reads onto a reference genome. PEM was used to map SVs in an African and in a putatively European individual and identified shared and divergent SVs relative to the reference genome. Overall, we fine-mapped more than 1000 SVs and documented that the number of SVs among humans is much larger than initially hypothesized; many of the SVs potentially affect gene function. The breakpoint junction sequences of more than 200 SVs were determined with a novel pooling strategy and computational analysis. Our analysis provided insights into the mechanisms of SV formation in humans.

"One plate/three-reporter" assay format for the detection and validation of yeast two-hybrid interactions.

We describe a novel assay format for the Gal4-based yeast two-hybrid-system, in which the readout from three different reporter genes is measured sequentially in a single microplate. Activation of the URA3, MEL1, and lacZ reporters in response to a protein-protein interaction is monitored by measuring sequentially: (i) growth in medium lacking uracil, (ii) alpha-galactosidase activity, and (iii) beta-galactosidase. The data thus generated permit elimination of many false positive signals and provide a preliminary measurement of reporter activation-strength that may be confirmed by further analysis. The assay procedure is inexpensive and requires few liquid-handling steps. It is appropriate for automated high-throughput interaction mating assays, validation of putative interactor strains and hybrid-protein self-activator tests.

The Melanoma Vascular Mimicry Phenotype Defined in Gene Expression and Microsome Sequencing Analysis.

The phenomenon of vasculogenic mimicry in melanoma has been recently described to be an important factor relating to melanoma progression. Large scale gene expression profiling by real-time quantitative RT-QPCR of a panel of 40 normal tissues and 54 cancer cell lines revealed that two genetically related melanoma cell lines, one derived from a primary lesion Hs.688(A) and one derived from a lymph node metastasis Hs.688(B), displayed a unique expression pattern when compared to other cancer cell lines and tissue samples in the panel. Quantitative-RT-PCR data indicated that these melanoma cells expressed a number of activated endothelial cell-associated genes such as tissue inhibitors of matrix metalloproteinases TIMP-2, matrix metalloproteinase (MMP-1, MMP-2), thrombospondin 1 (TSP1), proto-oncogene c-MET and vascular endothelial growth factor (VEGF). To examine the gene expression profile of these unique melanoma cells in greater depth, cDNA libraries were made from isolated microsome complexes to enrich those transcripts that were destined to be translated into cell surface or secreted proteins. High throughput sequencing analysis revealed that this library contained over 7000 cDNAs and was enriched by over 80% of secreted or membrane-bound proteins. The presence in the cDNA library of genes such as acetyl LDL receptor, tumor endothelial markers-1, 5 and 8 (TEMs), flow-induced endothelial G protein coupled receptor-1 and VEGF-related protein (VRP), all of which are known to be expressed uniquely by endothelial cells, supported the hypothesis that Hs.688(A) and Hs.688(B) cells were mimicking an activated vascular phenotype. Ultimately the goal is to investigate the biological roles of endothelial cell-associated genes in the behavior of Hs.688(A) and Hs.688 (B) melanoma cells.

Simultaneous gene expression analysis of steady-state and actively translated mRNA populations from osteosarcoma MG-63 cells in response to IL-1alpha via an open expression analysis platform.

Pro-inflammatory cytokines play a key role in various forms of metabolic bone diseases, including osteopenia and osteoporosis. Human MG-63 cells treated with IL-1alpha were used as a model system to identify potential marker genes that are differentially expressed. This study is designed to quantitate gene expression of actively translated mRNAs as compared to the steady-state mRNA population. Both steady-state mRNAs and actively translated mRNAs from control MG-63 cells and MG-63 cells treated with IL-1alpha were isolated and converted to cDNA. The gene expression analysis from these samples was then quantitated with an open expression analysis platform with no requirement for a priori knowledge of sequence information. As a result, many differentially regulated genes were discovered via IL-1alpha treatment. Some of the genes have been described previously as playing important roles in the regulation of inflammation and cell adhesion. These comparisons provided a panoramic overview of gene expression at both the total transcript and post-transcriptional levels. In addition, the quantitation of actively translated mRNAs associated with polysomes also provided a better estimation of protein expression levels. This methodology allows for the identification of genes acutely regulated during translation. Furthermore, the process may aid in the identification of new drug targets or biomarkers.