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 the Extremophile Alkalibacillus haloalkaliphilus C-5, of Indian Origin

Alkalibacillus haloalkaliphilus C-5 is a haloalkaliphilic bacterium that was isolated from a soil sample from the salty Sambhar Lake, Rajasthan, India. The organism is capable of alkaline protease production under conditions of pH 10 and 10% (wt/vol) salt. We sequenced and have reported the whole genome of Alkalibacillus haloalkaliphilus C-5, of Indian origin, for the first time.     

Evolution and diversity studies of innate immune genes in Indian buffalo (<Emphasis Type="Italic">Bubalus bubalis</Emphasis>) breeds using next generation sequencing

Indian buffalo (Bubalus bubalis) breeds are acknowledged for their disease resistance power, hardiness and considerable milk production. River buffaloes are more disease resistance despite of tropical environment of India than cattle breeds of the world. The genetic polymorphisms of innate immune genes play a prominent role in disease susceptibility of livestock. Here in our study, we mainly focused on SNPs in ten selected candidate innate immune genes viz CHGA, CHGB, CHGC, Slc11a1, Slc11a2, DEFB1, BNBD4, BNBD5, LAP and TAP among three most economically important Indian buffalo breeds viz., Jaffrabadi, Mehsani and Murrah using amplicon sequencing on Ion torrent PGM sequencing platform. Polymorphism identification using by GATK tool of Unified Genotyper revealed 274, 245 and 224 high quality SNPs in Jaffrabadi, Mehsani and Murrah buffalo breeds, respectively as well as 168 common SNPs among these three breeds and uniquely detected SNPs were 31, 15 and 37 SNPs in Jaffrabadi, Mehsani and Murrah breeds respectively. Consequences of non-synonymous SNPs were analysed using several computational tools viz., I-Mutant, SIFT, PolyPhen and PROVEAN which identified three deleterious nsSNPs. This wealth of sequence information will be productive for conservation studies, selective breeding and designing future strategies for identifying disease associations.     

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.     

Sampling Rhyparida nitida Clark (Coleoptera: Chrysomelidae) and symptoms of their damage on sugarcane

Sampling statistics were determined for larvae, pupae and adults of the chrysomelid Rhyparida nitida associated with sugarcane in Australia and for symptoms of their damage. Iwao's patchiness regression was inappropriate for modelling the mean–variance relationships of the insect counts. Taylor's power law was used to model these data and relationships were developed for counts of small, medium and large larvae, all larvae combined, pupae and adults. The mean–variance relationships of counts of live shoots and shoots killed by larvae of R. nitida were modelled using Iwao's patchiness regression; Taylor's power law was not appropriate to either data set. Relationships to determine sample sizes for fixed levels of precision and fixed-precision-level stop lines for sequential sampling of the different stages and live and dead shoots were also developed. Neither the ln(x + 1) transformation nor the Healy and Taylor transformation consistently standardised the mean–variance relationships of insect counts and the appropriate transformation should be selected on a case-by-case basis. Counts of both live and dead shoots were adequately transformed by the Iwao and Kuno transformation.     

Methanogenic diversity studies within the rumen of Surti buffaloes based on methyl coenzyme M reductase A (mcrA) genes point to Methanobacteriales

Methane emissions from ruminant livestock are considered to be one of the more potent forms of greenhouse gases contributing to global warming. Many strategies to reduce emissions are targeting the methanogens that inhabit the rumen, but such an approach can only be successful if it targets all the major groups of ruminant methanogens. Therefore, basic knowledge of the diversity of these microbes in breeds of buffalo is required. Therefore, the methanogenic community in the rumen of Surti buffaloes was analyzed by PCR amplification, cloning, and sequencing of methyl coenzyme M reductase (mcrA) gene. A total of 76 clones were identified, revealing 14 different sequences (phylotypes). All 14 sequences were similar to methanogens belonging to the order Methanobacteriales. Within Methanobacteriales, 12 clones (6 OTUs) were similar to Methanosphaera stadtmanae and the remaining 8 phylotypes (64 clones) were similar to unclassified Methanobacteriales. Overall, members of the Methanobacteriales dominated the mcrA clone library in the rumen of Surti buffalo. Further studies and effective strategies can be made to inhibit the growth of Methanobacteriales to reduce methane emission from the rumen which would help in preventing global warming.     

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.     

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.