Metagenomic data of DNA viruses of poultry affected with respiratory tract infection.

The incidence and severity of respiratory diseases in commercial broiler chicken flocks have increased recently in India because of intensification of the broiler industry. Viral population are predominant in respiratory tract infections and they pose continuous economic burden to poultry industry by causing severe economic losses through decreased productivity [1], [2]. To understand viral metagenome of poultry associated with respiratory infections, we performed DNA virome sequencing and data analysis of broilers from 8 districts of Gujarat State in India. We report high quality sequencing reads and highly abundant DNA viral population present in the infected broiler birds. The raw sequencing data used to perform metagenomic analysis is available in the Sequence Read Archive (SRA) under the BioProject No. PRJNA322592 and Accession No. MAUZ00000000, MAVA00000000, MAVB00000000, MAVC00000000, MAVD00000000, MAVE00000000, MAVF00000000, MAVG00000000 (https://www.ncbi.nlm.nih.gov/bioproject/?term=PRJNA322592).

Identification of novel splice variants in horn cancer by RNA-Seq analysis in Zebu cattle.

Horn cancer accounts for nearly 83% of total tumors found in Indian Zebu cattle, which results in chronic suffering and causes heavy economic losses. Alternative splicing has been frequently implicated in the various types of cancer progression. Utilizing the transcriptome sequence generated by next generation sequencing, we analyzed the transcript data for the presence of alternative splicing using BLAT program and identified 27 alternatively spliced genes, of which 12 spliced variants appeared to be the novel spliced candidates. Protein prediction of these novel spliced variants revealed that splice variation has caused either truncation of protein, insertion/deletion of stretch of amino acids or formation of unique carboxy terminus. The RT-PCR analysis confirmed the expression of 8 of the 12 novel spliced variants observed by transcriptome sequencing. Additionally, altered splicing/expression of these novel candidates between cancer and normal tissues revealed by qPCR suggests their potential involvement in the development of horn cancer.

Identification of novel transcripts deregulated in buccal cancer by RNA-seq.

The differential transcriptome analysis provides better understanding of molecular pathways leading to cancer, which in turn allows designing the effective strategies for diagnosis, therapeutic intervention and prediction of therapeutic outcome. This study describes the transcriptome analysis of buccal cancer and normal tissue by CLC Genomics Workbench from the data generated by Roche's 454 sequencing platform, which identified total of 1797 and 2655 genes uniquely expressed in normal and cancer tissues, respectively with 2466 genes expressed in both tissues. Among the genes expressed in both tissues, 1842 were up-regulated whereas 624 were down-regulated in cancer tissue. Besides transcripts known to be involved in cancer, this study led to the identification of novel transcripts, with significantly altered expression in buccal cancer tissue, providing potential targets for diagnosis and cancer therapeutics. The functional categorization by the KEGG pathway and gene ontology analysis revealed enrichment of differentially expressed transcripts to various pathways leading to cancer, including the p53 signaling pathway. Moreover, the gene ontology analysis unfolded suppression of transcripts involved in actin mediated cell contraction process. The down-regulation of four of these transcripts MYL1, ACTA1, TCAP and DESMIN in buccal cancer were further supported by quantitative PCR signifying its possible implication in the cancer progression.

A preliminary sketch of horn cancer transcriptome in Indian zebu cattle.

Horn cancer, a type of squamous cell carcinoma, in zebu cattle is an expensive affair in Indian agriculture sector, which accounts for 83.34% of total tumors found. In general, cancer tissue confirms considerably different expression patterns when compared to a normal stage. This includes not only up/down regulation, but also, the aberrant gene expression, the presence of different non-coding RNAs (ncRNAs), pseudogenes expression and genes involved in unusual pathways. We employed Roche 454 next generation sequencing platform to sequence Bos indicus cancerous and normal horn tissue transcripts. This resulted into a total of 909,345 high-confidence deep sequencing reads and detected a range of unusual transcriptional events including tumor associated genes. We also validated expression of two of the four tested genes in five other similar tissue samples by RT-qPCR. Further, seven cancer specific non-coding transcripts were accessed and a few of them have been suggested as cancer specific markers. This study for the first time provides primary transcriptome sketch of Bos indicus horn cancer tissue, and also demonstrates the suitability of the 454 sequencer for transcriptome analysis, which supports the concept of varied gene expression in cancerous condition.