Chaitanya G. Joshi

Association of HLA-B*1502 allele and carbamazepine-induced Stevens-Johnson syndrome among Indians

BACKGROUNDnStevens-Johnson Syndrome (SJS) and toxic epidermal necrolysis are severe cutaneous reactions caused by certain drugs, including antiepileptic carbamazepine. A strong association has been reported between human leucocyte antigen (HLA)-B*1502 and carbamazepine-induced SJS in Han Chinese patients. European studies suggested that HLA-B*1502 is not a universal marker but is ethnicity-specific for Asians.nnnAIMnTo study the association between HLA-B*1502 and carbamazepine-induced SJS in Indian patients.nnnMETHODSnEight individuals who fulfilled the diagnostic criteria of SJS induced by carbamazepine were identified and HLA-B molecular typing was performed. HLA-B genotyping was carried out by polymerase chain reaction using sequence-specific primers.nnnRESULTSnOut of eight patients studied for genotype, six patients were found to have the HLA-B*1502 allele.nnnCONCLUSIONnThis study suggests an association between HLA-B*1502 and carbamazepine-induced SJS in Indian patients.

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 (48.04xa0% in high FCR and 49.98xa0% in low FCR), Firmicutes (26.17xa0% in high FCR and 36.23xa0% in low FCR), Bacteroidetes (18.62xa0% in high FCR and 11.66xa0% in low FCR), as well as unclassified bacteria (15.77xa0% in high FCR and 14.29xa0% 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.

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

Aims:u2002 Metagenomic analysis of milk samples collected from Kankrej, Gir (Bos indicus) and crossbred (Bos taurusu2003×u2003B. 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.

Metagenomic analysis of Surti buffalo (Bubalus bubalis) rumen: a preliminary study

The complex microbiome of the rumen functions as an effective system for the conversion of plant cell wall biomass to microbial proteins, short chain fatty acids and gases. In this study, metagenomic approaches were used to study the microbial populations and metabolic potential of the microbial community. DNA was extracted from Surti Buffalo rumen samples (four treatments diet) and sequenced separately using a 454 GS FLX Titanium system. We used comparative metagenomics to examine metabolic potential and phylogenetic composition from pyrosequence data generated in four samples, considering phylogenetic composition and metabolic potentials in the rumen may remarkably be different with respect to nutrient utilization. Assignment of metagenomic sequences to SEED categories of the Metagenome Rapid Annotation using Subsystem Technology (MG-RAST) server revealed a genetic profile characteristic of fermentation of carbohydrates in a high roughage diet. The distribution of phylotypes and environmental gene tags (EGTs) detected within each rumen sample were dominated by Bacteroidetes/Chlorobi, Firmicutes and Proteobacteria in all the samples. The results of this study could help to determine the role of rumen microbes and their enzymes in plant polysaccharide breakdown is fundamental to understanding digestion and maximising productivity in ruminant animals.

Community structure of methanogenic archaea and methane production associated with compost‐treated tropical rice‐field soil

The diversity and density of methanogenic archaea and methane production were investigated ex situ at different growth stages of rice plant cultivated in compost-treated tropical rice fields. The qPCR analysis revealed variation in methanogens population from 3.40xa0×xa010(6) to 1.11xa0×xa010(7) xa0copiesxa0g(-1) xa0dws, in the year 2009 and 4.37xa0×xa010(6) to 1.36xa0×xa010(7) xa0copiesxa0g(-1) xa0dws in the year 2010. Apart from methanogens, a large number of bacterial (9.60xa0×xa010(9) -1.44xa0×xa010(10) xa0copiesxa0g(-1) xa0dws) and archaeal (7.13xa0×xa010(7) -3.02xa0×xa010(8) xa0copiesxa0g(-1) xa0dws) communities were also associated with methanogenesis. Methanogen population size varied in the order: flowering > ripening > tillering > postharvest > preplantation stage. The RFLP-based 16S rRNA gene-targeted phylogenetic analysis showed that clones were closely related to diverse group of methanogens comprising members of Methanomicrobiaceae, Methanosarcinaceae, Methanosaetaceae and RC I. Laboratory incubation studies revealed higher amount of cumulative CH(4) at the flowering stage. The integration of methanogenic community structure and CH(4) production potential of soil resulted in a better understanding of the dynamics of CH(4) production in organically treated rice-field soil. The hypothesis that the stages of plant development influence the methanogenic community structure leading to temporal variation in the CH(4) production has been successfully tested.

Taxonomic and gene-centric metagenomics of the fecal microbiome of low and high feed conversion ratio (FCR) broilers

Individual weight gain in broiler growers appears to vary, which may in part be due to variation in their gut microbiota. In this paper we analyse the fecal microbiota of low and high feed conversion ratio (FCR) broilers. After shotgun sequencing of the fecal microbiome, we used the SEED database to identify the microbial diversity and metabolic potential in low and high FCR birds. The domain-level breakdown of our samples was bacteria (>95xa0%), eukaryotes (>2xa0%), archaea (>0.2xa0%), and viruses (>0.2xa0%). At the phylum level, Proteobacteria (78.83xa0% in low and 52.04xa0% in high FCR), Firmicutes (11.97xa0% in low and 27.53xa0% in high FCR) and Bacteroidetes (7.10xa0% in low FCR and 17.53xa0% in high FCR) predominated in the fecal microbial community. Poultry fecal metagenomes revealed the sequences related to 33 genera in both low and high FCR with significantly different proportion. Functional analysis revealed that genes for the metabolism of carbohydrates, amino acids and derivatives and protein metabolism were most abundant in SEED subsystem in both samples. Genes associated with stress, virulence, cell wall and cell capsule were also abundant. Indeed, genes associated with sulphur assimilation, flagellum and flagellar motility were over represented in low FCR birds. This information could help in developing strategies to improve feed efficiency and feed formulation for broiler chickens.

Bacterial diversity dynamics associated with different diets and different primer pairs in the rumen of Kankrej cattle.

The ruminal microbiome in herbivores plays a dominant role in the digestion of lignocellulose and has potential to improve animal productivity. Kankrej cattle, a popular native breed of the Indian subcontinent, were used to investigate the effect of different dietary treatments on the bacterial diversity in ruminal fractions using different primer pairs. Two groups of four cows were assigned to two primary diets of either dry or green forages. Each group was fed one of three dietary treatments for six weeks each. Dietary treatments were; K1 (50% dry/green roughage: 50% concentrate), K2 (75% dry/green roughage: 25% concentrate) and K3 (100% dry/green roughage). Rumen samples were collected using stomach tube at the end of each dietary period and separated into solid and liquid fractions. The DNA was extracted and amplified for V1–V3, V4–V5 and V6–V8 hypervariable regions using P1, P2 and P3 primer pairs, sequenced on a 454 Roche platform and analyzed using QIIME. Community compositions and the abundance of most bacterial lineages were driven by interactions between primer pair, dietary treatment and fraction. The most abundant bacterial phyla identified were Bacteroidetes and Firmicutes however, the abundance of these phyla varied between different primer pairs; in each primer pair the abundance was dependent on the dietary treatment and fraction. The abundance of Bacteroidetes in cattle receiving K1 treatment indicate their diverse functional capabilities in the digestion of both carbohydrate and protein while the predominance of Firmicutes in the K2 and K3 treatments signifies their metabolic role in fibre digestion. It is apparent that both liquid and solid fractions had distinct bacterial community patterns (P<0.001) congruent to changes in the dietary treatments. It can be concluded that the P1 primer pair flanking the V1–V3 hyper-variable region provided greater species richness and diversity of bacterial populations in the rumen of Kankrej cattle.

Bacterial diversity associated with feeding dry forage at different dietary concentrations in the rumen contents of Mehshana buffalo (Bubalus bubalis) using 16S pyrotags.

Pyrosequencing of 16S rRNA gene targeting bacteria was applied to identify diet-induced shifts in the microbiome of both solid and liquid ruminal fractions retrieved from water buffalo fed different diets. The depth of coverage of metabolically active bacteria in a community using different primer pairs was also investigated. To assess reproducibility, animal to animal variation was considered in all phylogenetic and community comparisons. The experiment included four non-lactating water buffaloes fed three different diets for six weeks each; diets were M1 (50% concentrate: 50% dry roughage), M2 (25% concentrate: 75% dry roughage) and M3 (100% dry roughage). A total of 333, 851 pyrotags were analyzed in this study. Phylogenetic analysis revealed significant differences in the rumen microbiome mediated by primer and diet (P < 0.05). Differences in community composition due to primer, diet, fraction and animal were compared using unweighted and weighted UniFrac analysis. Clustering of communities was largely explained by primer differences in both weighted and unweighted UniFrac analyses (P < 0.001). In the weighted analysis, communities clustered by diets (P < 0.05) and fractions (P < 0.08) while no inter-animal variation was observed. The identified repertoire of bacterial populations was dependent on the primer pair, as targeting the V4-V5 region resulted in greater diversity profiles of the microbiome. Within each primer pair, dietary changes altered the community composition with noticeable shifts at genus level. Genera such as Ruminococcus and Fibrobacter (P < 0.05) were higher in abundance on M3 diet while Prevotella dominated (P < 0.05) on M1 diet.

Methanogen diversity in the rumen of Indian Surti buffalo (Bubalus bubalis), assessed by 16S rDNA analysis.

The methanogenic communities in buffalo rumen were characterized using a culture-independent approach of a pooled sample of rumen fluid from three adult Surti buffaloes. Buffalo rumen is likely to include species of various methanogens, so 16S rDNA sequences were amplified and cloned from the sample. A total of 171 clones were sequenced to examine 16S rDNA sequence similarity. About 52.63% sequences (90 clones) had ≥ 90% similarity, whereas, 46.78% of the sequences (81 clones) were 75-89% similar to 16S rDNA database sequences, respectively. Phylogenetic analyses were also used to infer the makeup of methanogenic communities in the rumen of Surti buffalo. As a result, we distinguished 23 operational taxonomic units (OTUs) based on unique 16S rDNA sequences: 12 OTUs (52.17%) affiliated to Methanomicrobiales order, 10 OTUs (43.47%) of the order Methanobacteriales and one OTU (4.34%) of Methanosarcina barkeri like clone, respectively. In addition, the population of Methanomicrobiales and Methabacteriales orders were also observed, accounting 4% and 2.17% of total archea. This study has revealed the largest assortment of hydrogenotrophic methanogens phylotypes ever identified from rumen of Surti buffaloes.

Comparative evaluation of rumen metagenome community using qPCR and MG-RAST

Microbial profiling of metagenome communities have been studied extensively using MG-RAST and other related metagenome annotation databases. Although, database based taxonomic profiling provides snapshots of the metagenome architecture, their reliability needs to be validated through more accurate methods. Here, we performed qPCR based absolute quantitation of selected rumen microbes in the liquid and solid fraction of the rumen fluid of river buffalo adapted to varying proportion of concentrate to green or dry roughages and compared with the MG-RAST based annotation of the metagenomes sequences of 16S r-DNA amplicons and high throughput shotgun sequencing. Animals were adapted to roughage-to-concentrate ratio in the proportion of 50:50, 75:25 and 100:00, respectively for six weeks. At the end of each treatment, rumen fluid was collected at 3xa0h post feeding. qPCR revealed that the relative abundance of Prevotella bryantii was higher, followed by the two cellulolytic bacteria Fibrobacter succinogens and Ruminococcus flavefaciens that accounted up to 1.33% and 0.78% of the total rumen bacteria, respectively. While, Selenomonas ruminantium and archaea Methanomicrobiales were lower in microbial population in the rumen of buffalo. There was no statistically significant difference between the enumerations shown by qPCR and analysis of the shotgun sequencing data by MG-RAST except for Prevotella. These results indicate the variations in abundance of different microbial species in buffalo rumen under varied feeding regimes as well as in different fractions of rumen liquor, i.e. solid and the liquid. The results also present the reliability of shotgun sequencing to describe metagenome and analysis/annotation by MG-RAST.