Ramesh J. Pandit
College of Veterinary Science and Animal Husbandry
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Publication
Featured researches published by Ramesh J. Pandit.
Anaerobe | 2017
Ankit T. Hinsu; Nidhi R. Parmar; Neelam M. Nathani; Ramesh J. Pandit; Anand B. Patel; Amrutlal K. Patel; Chaitanya G. Joshi
Recent advances in next generation sequencing technology have enabled analysis of complex microbial community from genome to transcriptome level. In the present study, metatranscriptomic approach was applied to elucidate functionally active bacteria and their biological processes in rumen of buffalo (Bubalus bubalis) adapted to different dietary treatments. Buffaloes were adapted to a diet containing 50:50, 75:25 and 100:0 forage to concentrate ratio, each for 6 weeks, before ruminal content sample collection. Metatranscriptomes from rumen fiber adherent and fiber-free active bacteria were sequenced using Ion Torrent PGM platform followed by annotation using MG-RAST server and CAZYmes (Carbohydrate active enzymes) analysis toolkit. In all the samples Bacteroidetes was the most abundant phylum followed by Firmicutes. Functional analysis using KEGG Orthology database revealed Metabolism as the most abundant category at level 1 within which Carbohydrate metabolism was dominating. Diet treatments also exerted significant differences in proportion of enzymes involved in metabolic pathways for VFA production. Carbohydrate Active Enzyme(CAZy) analysis revealed the abundance of genes encoding glycoside hydrolases with the highest representation of GH13 CAZy family in all the samples. The findings provide an overview of the activities occurring in the rumen as well as active bacterial population and the changes occurring through different dietary treatments.
Scientific Reports | 2017
Shriram H. Patel; Yati H. Vaidya; Reena J. Patel; Ramesh J. Pandit; Chaitanya G. Joshi; Anju Kunjadiya
Breastfeeding undoubtedly provides important benefits to the mother-infant dyad and should be encouraged. Mastitis, one of the common but major cause of premature weaning among lactating women, is an inflammation of connective tissue within the mammary gland. This study reports the influence of mastitis on human milk microbiota by utilizing 16 S rRNA gene sequencing approach. We sampled and sequenced microbiome from 50 human milk samples, including 16 subacute mastitis (SAM), 16 acute mastitis (AM) and 18 healthy-controls. Compared to controls, SAM and AM microbiota were quite distinct and drastically reduced. Genera including, Aeromonas, Staphylococcus, Ralstonia, Klebsiella, Serratia, Enterococcus and Pseudomonas were significantly enriched in SAM and AM samples, while Acinetobacter, Ruminococcus, Clostridium, Faecalibacterium and Eubacterium were consistently depleted. Further analysis of our samples revealed positive aerotolerant odds ratio, indicating dramatic depletion of obligate anaerobes and enrichment of aerotolerant bacteria during the course of mastitis. In addition, predicted functional metagenomics identified several gene pathways related to bacterial proliferation and colonization (e.g. two-component system, bacterial secretion system and motility proteins) in SAM and AM samples. In conclusion, our study confirmed previous hypothesis that mastitis women have lower microbial diversity, increased abundance of opportunistic pathogens and depletion of commensal obligate anaerobes.
Applied Biological Research | 2014
Ramesh J. Pandit; Prashant D. Kunjadia; Pratap N. Mukhopadhyaya; Chaitanya G. Joshi; Anju Nagee
Two nematode trapping fungi were isolated from the arable soil samples collected from district Anand (Gujarat) India and identified on the basis of their culture-morphological characteristics and 18S rRNA gene sequencing as Arthrobotrys conoides (GenBank accession No. JX979095) and Duddingtonia flagrans (GenBank accession No. JX979094). These fungal isolates were assessed for their trapping efficiency against root knot disease causing nematode Meloidogyne spp., isolated from the infected tomato plants. When incubated with nematodes for 24 hr, the trapping efficiency of A. conoides and D. flagrans was 92–95 and 22–29%, respectively. Growth conditions with respect to medium, temperature and pH were also optimized. This study showed that A. conoides is a promising candidate to control root-knot nematodes. Phylogenetic relationship with other nematophagous fungi showed that isolates formed monophyletic clade with other nematode trapping fungi as well.
International Journal of Biological Macromolecules | 2018
Tripti Dadheech; Ravi K. Shah; Ramesh J. Pandit; Ankit T. Hinsu; Prakram Singh Chauhan; Subhash J. Jakhesara; Anju Kunjadiya; Dharamshibhai N. Rank; Chaitanya G. Joshi
Cellulase hydrolyses the cellulose by cleaving the β-1,4-linkages to produce mono-, oligo- and shorter polysaccharide units. These enzymes have applications in various industries such as pulp and paper, laundry, food and feed, textile, brewing industry and in biofuel production. In the present study we have cloned acid-cellulase gene (Cel-1) from the fosmid library of buffalo rumen metagenomic DNA and functionally expressed it in Escherichia coli. The ORF encoding cellulase consisted of 1176-bp, corresponding to protein of 391 amino acid and has catalytic domain belonging to glycosyl hydrolase family 5. The purified protein has a molecular weight of 43-kDa on SDS-PAGE and its expression was confirmed by western blotting. The tertiary structure of the cellulase (Cel-1) showed a classical (α/β) TIM-like barrel motif. Model surface charge of Cel-1 predicted that surface near active site was mostly negative which might be responsible for the stability of enzyme at lower pH. The pH and temperature for maximum enzyme activity were 4.5 and 45°C respectively. Various metal ions enhanced the enzyme activity and in presence of Mn+2 activity was significantly increased. Cel-1 hydrolyzed pre-treated wheat straw and released reducing sugars (62.60%). These desirable properties of Cel-1 make it attractive for the bioconversion of biomass.
Genome Announcements | 2015
Binal Shah; Kunal Jain; Namrata Patel; Ramesh J. Pandit; Anand B. Patel; Chaitanya G. Joshi; Datta Madamwar
ABSTRACT Paenibacillus sp. strain DMB20, in cometabolism with other Proteobacteria and Firmicutes, exhibits azoreduction of textile dyes. Here, we report the draft genome sequence of this bacterium, consisting of 6,647,181 bp with 7,668 coding sequences (CDSs). The data presented highlight multiple sets of functional genes associated with xenobiotic compound degradation.
Systematic and Applied Microbiology | 2018
Ramesh J. Pandit; Ankit T. Hinsu; Shriram Patel; Subhash J. Jakhesara; Prakash G. Koringa; Fosso Bruno; Androniki Psifidi; Siddharth Shah; Chaitanya G. Joshi
Zebu (Bos indicus) is a domestic cattle species originating from the Indian subcontinent and now widely domesticated on several continents. In this study, we were particularly interested in understanding the functionally active rumen microbiota of an important Zebu breed, the Gir, under different dietary regimes. Metagenomic and metatranscriptomic data were compared at various taxonomic levels to elucidate the differential microbial population and its functional dynamics in Gir cattle rumen under different roughage dietary regimes. Different proportions of roughage rather than the type of roughage (dry or green) modulated microbiome composition and the expression of its gene pool. Fibre degrading bacteria (i.e. Clostridium, Ruminococcus, Eubacterium, Butyrivibrio, Bacillus and Roseburia) were higher in the solid fraction of rumen (P<0.01) compared to the liquid fraction, whereas bacteria considered to be utilizers of the degraded product (i.e. Prevotella, Bacteroides, Parabacteroides, Paludibacter and Victivallis) were dominant in the liquid fraction (P<0.05). Likewise, expression of fibre degrading enzymes and related carbohydrate binding modules (CBMs) occurred in the solid fraction. When metagenomic and metatranscriptomic data were compared, it was found that some genera and species were transcriptionally more active, although they were in low abundance, making an important contribution to fibre degradation and its further metabolism in the rumen. This study also identified some of the transcriptionally active genera, such as Caldicellulosiruptor and Paludibacter, whose potential has been less-explored in rumen. Overall, the comparison of metagenomic shotgun and metatranscriptomic sequencing appeared to be a much richer source of information compared to conventional metagenomic analysis.
Mbio | 2018
Ramesh J. Pandit; Ankit T. Hinsu; Namrata Patel; Prakash G. Koringa; Subhash J. Jakhesara; Jalpa R. Thakkar; Tejas M. Shah; Georgina Limon; Androniki Psifidi; Javier Guitian; David A. Hume; Fiona M. Tomley; Dharamshibhai N. Rank; M. Raman; K. G. Tirumurugaan; Damer P. Blake; Chaitanya G. Joshi
BackgroundThe caecal microbiota plays a key role in chicken health and performance, influencing digestion and absorption of nutrients, and contributing to defence against colonisation by invading pathogens. Measures of productivity and resistance to pathogen colonisation are directly influenced by chicken genotype, but host driven variation in microbiome structure is also likely to exert a considerable indirect influence.MethodsHere, we define the caecal microbiome of indigenous Indian Aseel and Kadaknath chicken breeds and compare them with the global commercial broiler Cobb400 and Ross 308 lines using 16S rDNA V3-V4 hypervariable amplicon sequencing.ResultsEach caecal microbiome was dominated by the genera Bacteroides, unclassified bacteria, unclassified Clostridiales, Clostridium, Alistipes, Faecalibacterium, Eubacterium and Blautia. Geographic location (a measure recognised to include variation in environmental and climatic factors, but also likely to feature varied management practices) and chicken line/breed were both found to exert significant impacts (p < 0.05) on caecal microbiome composition. Linear discriminant analysis effect size (LEfSe) revealed 42 breed-specific biomarkers in the chicken lines reared under controlled conditions at two different locations.ConclusionChicken breed-specific variation in bacterial occurrence, correlation between genera and clustering of operational taxonomic units indicate scope for quantitative genetic analysis and the possibility of selective breeding of chickens for defined enteric microbiota.
Archive | 2014
Ramesh J. Pandit; Vaibhav D. Bhatt; Pratap N. Mukhopadhyaya; Chaitanya G. Joshi; Anju P. Kunjadia; Rita Patel
Meta Gene | 2017
Yati H. Vaidya; Shriram H. Patel; Reena J. Patel; Ramesh J. Pandit; Chaitanya G. Joshi; Anju P. Kunjadia
Meta Gene | 2017
Reena J. Patel; Ramesh J. Pandit; Vaibhav D. Bhatt; Prashant D. Kunjadia; Devendra S. Nauriyal; Prakash G. Koringa; Chaitanya G. Joshi; Anju P. Kunjadia