Pathotypic and Sequence Characterization of Newcastle Disease Viruses from Vaccinated Chickens Reveals Circulation of Genotype II, IV and XIII and in India.

Newcastle disease virus (NDV) causes a highly contagious disease which continuously haunts the global poultry industry. The nature and molecular epidemiology of NDVs prevalent in recent outbreaks in India is poorly understood. This study aimed to characterize NDVs prevalent in vaccinated flocks in India using whole-genome sequencing and biological pathotyping. Twelve field isolates were collected from outbreaks which occurred in different parts of India and characterized as velogenic based on their intracerebral pathogenicity index (ICPI) and amino acid sequence at the F protein cleavage site. All 12 of the field isolates and five commonly used vaccine strains were selected for whole-genome sequencing using Ion Torrent PGM technology, yielding complete genome sequences for ten field isolates and all vaccine strains. The genome of all isolates was found to be 15 192 nt long with a high level of conservation across multiple genomic features with APMV-I viruses. Phylogenetic analysis and evolutionary distance calculations placed the isolates in genotypes II, IV and XIII. Revisiting other recently reported strains provided preliminary evidence of genotypes VI, VII and XVIII circulating in India. Comparison between the field and vaccine virus sequences revealed unique genomic and amino acid differences in important antigenic regions of the F and hemagglutinin-neuraminidase (HN) genes which can be targeted for site directed mutagenesis to evaluate the impact of these substitutions on virus pathogenicity. This study highlights the requirement to evaluate current vaccines through systematic protection assays to determine protection efficacy against field isolates.

Comprehensive transcriptome profiling of squamous cell carcinoma of horn in Bos indicus.

Squamous cell carcinoma (SCC) of horn is frequently observed in Bos indicus affecting 1% of cattle population and accounting 83.34% of total tumours found. The transcriptome profile of horn cancer (HC) tissue and the matched normal (HN) tissue were analysed by RNA-seq using Roche 454 sequencing. A total of 1 504 900 reads comprising of 612 MB data were used to identify differentially expressed genes using CLC Genomic Workbench. These include up-regulation of KRT6A, KRT6B, KRT6C, KRT14, SFN, KRT84, PI3, COL17A1, ANLN, SERPINB5 and down-regulation of BOLA, SCGB1A1, CXCL17, KRT19, BPIFB1, NR4A1 and TFF3 in HC, which are involved in regulation of gene transcription, cell proliferation, apoptosis, cell survival and metabolic pathways. The qPCR analysis of several targets suggested concordance of gene expression profile with RNA-seq analysis. The present findings would provide basis for further screening of genes and identification of markers for early diagnosis and therapeutic intervention of HC.

Identification of novel SNPs in differentially expressed genes and its association with horn cancer of Bos indicus bullocks by next-generation sequencing.

The use of polymorphic markers like SNPs promises to provide comprehensive tool for analysing genome and identifying genomic regions that contribute to cancer phenotype. Horn cancer is the most common cancer among Bos indicus animals. Increased expression of some genes due to polymorphisms increases risk of HC incidence. We successfully amplified 91 SNPs located in 69 genes in 52 samples, each of HC and HN. Equimolar concentration of amplicons from 69 PCR products of each sample was pooled and subjected to sequencing using Ion Torrent PGM. Data obtained were analysed using DNASTAR software package and case control analysis using SAS software. We found SNP present in BPIFA1 gene of B. indicus shows association with event of HC which reflects its potential to be a genetic marker. Bioinformatic analysis to detect structural and functional impact nsSNP of BPIFA1 added another layer of confirmation to our result. We successfully identified SNP associated with HC as well as demonstrated efficient approach for limited number of SNP discovery and validation in targeted genomics regions in large number of samples combining PCR amplification and Ion Torrent PGM sequencing which suits small-scale laboratories with limited budget.

High through put 16S rRNA gene-based pyrosequencing analysis of the fecal microbiota of high FCR and low FCR broiler growers.

The performance of birds appears to vary among the flock of growing broilers which may in part be due to variation in their gut microbiota. In the view of poultry industry, it is desirable to minimise such variation. We investigated metagenomic profile of fecal bacteria in birds with high and low feed conversion ratio (FCR) to identify microbial community linked to low and high FCR by employing high throughput pyrosequencing of 16S rRNA genomic targets. Therefore feeding trial was investigated in order to identify fecal bacteria consistently linked with better feed conversion ratio in bird performance as measured by body weight gain. High-throughput 16S rRNA gene based pyrosequencing was used to provide a comparative analysis of fecal microbial diversity. The fecal microbial community of birds was predominated by Proteobacteria (48.04 % in high FCR and 49.98 % in low FCR), Firmicutes (26.17 % in high FCR and 36.23 % in low FCR), Bacteroidetes (18.62 % in high FCR and 11.66 % in low FCR), as well as unclassified bacteria (15.77 % in high FCR and 14.29 % in low FCR), suggesting that a large portion of fecal microbiota is novel and could be involved in currently unknown functions. The most prevalent bacterial classes in high FCR and low FCR were Gammaproteobacteria, Clostridia and Bacteroidia. However in low FCR birds Phascolarctobacterium, Faecalibacterium and Clostridium predominated among the Clostridia. In FCR comparison of fecal bacteria, about 36 genera were differentially abundant between high and low FCR birds. This information could be used to formulate effective strategies to improve feed efficiency and feed formulation for optimal gut health.

Metagenomic analysis of virulence-associated and antibiotic resistance genes of microbes in rumen of Indian buffalo (Bubalus bubalis).

A major research goal in rumen microbial ecology is to understand the relationship between community composition and its function, particularly involved in fermentation process is of a potential interest. The buffalo rumen microbiota impacts human food safety as well as animal health. Although the bacteria of bovine rumen have been well characterized, techniques have been lacking to correlate total community structure with gene function. We applied 454 next generations sequencing technology to characterize general microbial diversity present in buffalo rumen metagenome and also identified the repertoire of microbial genes present, including genes associated with antibiotic resistance and bacterial virulence. Results suggest that over six percent (6.44%) of the sequences from our buffalo rumen pool sample could be categorized as virulence genes and genes associated with resistance to antibiotic and toxic compounds (RATC), which is a higher proportion of virulence genes reported from metagenome samples of chicken cecum (5.39%), cow rumen (4.43%) and Sargasso sea (2.95%). However, it was lower than the proportion found in cow milk (11.33%) cattle faeces (8.4%), Antarctic marine derived lake (8.45%), human fecal (7.7%) and farm soil (7.79%). The dynamic nature of metagenomic data, together with the large number of RATC classes observed in samples from widely different ecologies indicates that metagenomic data can be used to track potential targets and relative amounts of antibiotic resistance genes in individual animals. In addition, these data can be also used to generate antibiotic resistance gene profiles to facilitate an understanding of the ecology of the microbial communities in each habitat as well as the epidemiology of antibiotic resistant gene transport between and among habitats.

Parentage verification in field progeny testing program of Mehsana buffalo.

The present study was undertaken to construct a multiplex microsatellite panel for parentage testing in Mehsana buffalo (Bubalus bubalis). The study was based on a total of 212 Mehsana buffalos (100 dams, 100 daughters, and 12 sires). Genomic DNA was extracted from blood and semen samples. A panel of 10 microsatellite markers (CSSM61, ILSTS29, ILSTS17, ILSTS28, CSSM57, CSSM22, ILSTS61, CSSM8, ETH152, and ILSTS11) was amplified in a single multiplex reaction and analyzed by capillary electrophoresis on an automated DNA sequencer. The expected heterozygosity ranged from 0.642 to 0.833 (mean 0.762). The total exclusion probability using 10 microsatellite loci with 1 known parent was 0.993. Seven out of 10 microsatellite loci revealed relatively high polymorphic information content (>0.7). Eighty-one daughters out of 100 daughters qualified by compatibility according to Mendelism. The results suggest that multiplex microsatellite panel is a fast, robust, reliable, and economic tool to verify the parentage as well as to assign the putative sire to daughters under progeny testing with very high accuracy and hence can be used in routine parentage testing.

Whole-genome shotgun sequencing of Lactobacillus rhamnosus MTCC 5462, a strain with probiotic potential.

Lactobacillus rhamnosus MTCC 5462 was isolated from infant gastrointestinal flora. The strain exhibited an ability to reduce cholesterol and stimulate immunity. The strain has exhibited positive results in alleviating gastrointestinal discomfort and good potential as a probiotic. We sequenced the whole genome of the strain and compared it to the published genome sequence of Lactobacillus rhamnosus GG (ATCC 53103).

Milk microbiome signatures of subclinical mastitis-affected cattle analysed by shotgun sequencing.

AIMS: Metagenomic analysis of milk samples collected from Kankrej, Gir (Bos indicus) and crossbred (Bos taurus × B. indicus) cattle harbouring subclinical mastitis was carried out by next-generation sequencing 454 GS-FLX technology to elucidate the microbial community structure of cattle milk. METHODS AND RESULTS: Milk samples from Kankrej, Gir and crossbred cattle were subjected to metagenomic profiling by pyrosequencing. The Metagenomic analysis produced 63·07, 11·09 and 7·87 million base pairs (Mb) of sequence data, assembled in 264 798, 56 114 and 36 762 sequences with an average read length of 238, 197 and 214 nucleotides in Kankrej, Gir and crossbred cattle, respectively. Phylogenetic and metabolic profiles by the web-based tool MG-RAST revealed that the members of Enterobacteriales were predominant in mastitic milk followed by Pseudomonadales, Bacillales and Lactobacillales. Around 56 different species with varying abundance were detected in the subclinically infected milk. Escherichia coli was found to be the most predominant species in Kankrej and Gir cattle followed by Pseudomonas aeruginosa, Pseudomonas mendocina, Shigella flexneri and Bacillus cereus. In crossbred cattle, Staphylococcus aureus followed by Klebsiella pneumoniae, Staphylococcus epidermidis and E. coli were detected in descending order. Metabolic profiling indicated fluoroquinolones, methicillin, copper, cobalt-zinc-cadmium as the groups of antibiotics and toxic compounds to which the organisms showed resistance. Sequences indicating potential of organisms exhibiting multidrug resistance against antibiotics and resistance to toxic compounds were also present. Interestingly, presence of bacteriophages against Staph. aureus, E. coli, Enterobacter and Yersinia species was also observed. CONCLUSIONS: The analysis identified potential infectious organisms in mastitis, resistance of organisms to antibiotics and chemical compounds and the natural resistance potential of dairy cows. SIGNIFICANCE AND IMPACT OF THE STUDY: The findings of this study may help in formulating strategies for the prevention and treatment of mastitis in dairy animals and consequently in reducing economic losses incurred because of it.

Genome sequence of Pasteurella multocida subsp. gallicida Anand1_poultry.

We report the finished and annotated genome sequence of Pasteurella multocida gallicida strain Anand1_poultry, which was isolated from the liver of a diseased adult female chicken. The strain causes a disease called "fowl cholera," which is a contagious disease in birds. We compared it with the published genome sequence of Pasteurella multocida Pm70.

Whole-genome shotgun sequencing of an Indian-origin Lactobacillus helveticus strain, MTCC 5463, with probiotic potential.

Lactobacillus helveticus MTCC 5463 was isolated from a vaginal swab from a healthy adult female. The strain exhibited potential probiotic properties, with their beneficial role in the gastrointestinal tract and their ability to reduce cholesterol and stimulate immunity. We sequenced the whole genome and compared it with the published genome sequence of Lactobacillus helveticus DPC4571.