Metagenomic evaluation of peanut rhizosphere microbiome from the farms of Saurashtra regions of Gujarat, India.

The narrow zone of soil around the plant roots with maximum microbial activity termed as rhizosphere. Rhizospheric bacteria promote the plant growth directly or indirectly by providing the nutrients and producing antimicrobial compounds. In this study, the rhizospheric microbiota of peanut plants was characterized from different farms using an Illumina-based partial 16S rRNA gene sequencing to evaluate microbial diversity and identify the core microbiome through culture-independent (CI) approach. Further, all rhizospheric bacteria that could grow on various nutrient media were identified, and the diversity of those microbes through culture-dependent method (CD) was then directly compared with their CI counterparts. The microbial population profiles showed a significant correlation with organic carbon and concentration of phosphate, manganese, and potassium in the rhizospheric soil. Genera like Sphingomicrobium, Actinoplanes, Aureimonas _A, Chryseobacterium, members from Sphingomonadaceae, Burkholderiaceae, Pseudomonadaceae, Enterobacteriaceae family, and Bacilli class were found in the core microbiome of peanut plants. As expected, the current study demonstrated more bacterial diversity in the CI method. However, a higher number of sequence variants were exclusively present in the CD approach compared to the number of sequence variants shared between both approaches. These CD-exclusive variants belonged to organisms that are more typically found in soil. Overall, this study portrayed the changes in the rhizospheric microbiota of peanuts in different rhizospheric soil and environmental conditions and gave an idea about core microbiome of peanut plant and comparative bacterial diversity identified through both approaches.

A study of antibiotic resistance pattern of clinical bacterial pathogens isolated from patients in a tertiary care hospital.

We investigated antibiotic resistance pattern in clinical bacterial pathogens isolated from in-patients and out-patients, and compared it with non-clinical bacterial isolates. 475 bacterial strains isolated from patients were examined for antibiotic resistance. Staphylococcus spp. (148; 31.1%) were found to be the most prevalent, followed by Klebsiella pneumoniae (135; 28.4%), Escherichia coli (74; 15.5%), Pseudomonas aeruginosa (65; 13.6%), Enterobacter spp. (28; 5.8%), and Acinetobacter spp. (25; 5.2%). Drug-resistant bacteria isolated were extended spectrum-ß-lactamase K. pneumoniae (8.8%), E. coli (20%), metallo-ß-lactamase P. aeruginosa (14; 2.9%), erythromycin-inducing clindamycin resistant (7.4%), and methicillin-resistant Staphylococcus species (21.6%). Pathogens belonging to the Enterobacteriaceae family were observed to undergo directional selection developing resistance against antibiotics ciprofloxacin, piperacillin-tazobactam, cefepime, and cefuroxime. Pathogens in the surgical ward exhibited higher levels of antibiotic resistance, while non-clinical P. aeruginosa and K. pneumoniae strains were more antibiotic-susceptible. Our research assisted in identifying the drugs that can be used to control infections caused by antimicrobial resistant bacteria in the population and in monitoring the prevalence of drug-resistant bacterial pathogens.

Characterizing rhizosphere microbiota of peanut (Arachis hypogaea L.) from pre-sowing to post-harvest of crop under field conditions.

The rhizosphere, a narrow zone of soil near plant roots, is a hot spot for microbial activity. Rhizosphere microbiota directly or indirectly benefit plants by supplementing nutrients, producing beneficial chemicals, or suppressing pathogens. Plants attract and modulate bacteria within the rhizosphere by releasing exudates. Plants also tend to select the rhizosphere microbiota based on their needs; a phenomenon termed as "rhizosphere effect". In this study, we characterized the rhizosphere microbiota of peanut plants across the crop development cycle from pre-sowing of seeds to post-harvest of crop under field conditions. The rhizosphere and bulk soil samples from different crop developmental stages were also compared. The composition of bulk soil microbiota resembled microbiota of pre-sowing and post-harvest soil and was markedly different from rhizosphere soil samples. Rhizosphere samples were enriched with multiple organisms mostly from the Proteobacteria, Firmicutes and Bacteroidota phyla. Differences in diversity were observed among the rhizosphere samples but not in bulk soil across different crop development stages. Pseudomonas_M indica was highly enriched during the germination of seeds. Furthermore, Plant Growth Promoting (PGP) bacteria like Bacillus were enriched during the middle stages of crop development but there was a decline in PGP organisms in the matured crop stage. We also observed a significant association of pH and Electrical Conductivity (EC) with the profiles of microbial community. Overall, this study portrayed the changes in rhizosphere microbiota of peanut during different developmental stages of crop and may help to design stage specific bio-strategies such as bio-fertilizer to improve crop yield.

Fungi with high ability to crunch multiple Polycyclic Aromatic Hydrocarbons (PAHs) from the pelagic sediments of Gulfs of Gujarat.

Marine ecosystem harbors diverse microbial diversity adapted to varied environmental conditions and stress. Gujarat possesses a wide coastline with unique and diverse niche in its two Gulfs. PAHs enter marine environments through various anthropogenic discharges and act as a threat to environment due to their xenobiotic nature. In the present study, sediment cores were collected across 4 coordinates, each from Gulf of Kutch and Khambhat; while one from Arabian sea. These samples were enriched for fungal growth in basal medium supplemented with naphthalene, pyrene, phenanthrene, anthracene and fluoranthene. Eight isolates were obtained from 3 samples and checked for tolerance against 5 PAHs followed by assessment of their biodegradation ability. Penicillium ilerdanum NPDF1239-K3-F21 and Aspergillus versicolor NPDF190-C1-26 showed >75% ability to degrade multiple PAHs. The results reveal the potential of fungal isolates from pelagic sediment for further in situ optimization and application in PAH removal from contaminated soil and sediment.

Decolorization and biodegradation of textile di-azo dye Acid Blue 113 by Pseudomonas stutzeri AK6.

Textile industry is one of the anthropogenic activities that consume a large amount of water and pollute water bodies. It uses a massive amount of dyes, which is one of the main constituents of polluting textile effluent. In the present research, biodegradation of Acid Blue 113 dye, a commonly used textile di-azo dye, has been studied exploiting Pseudomonas stutzeri, strain AK6. The dye (300 ppm) was decolorized up to 86.2% within 96 h. The metabolites of Acid Blue 113 obtained after biodegradation were identified by various analytical techniques viz. HPLC (high-performance liquid chromatography) and GC-MS (gas chromatography-mass spectrometry). Genome analysis of isolate AK6 using IMG/M (Integrated Microbial Genomes and Microbiomes) system supported the role of azoreductase and laccase for the decolorization and degradation of azo dye. The ability of P. stutzeri AK6 to tolerate high amount of dye makes it a potential candidate for bioremediation and pre-processing to remove dyes from textile effluents.

Draft Genome Sequence of Commercial Textile Dye-Decolorizing and -Degrading Bacillus subtilis Strain C3 Isolated in India.

Bacillus subtilis C3, a commercial textile dye-decolorizing and -degrading bacterium, was isolated from the common effluent treatment plant (CEPT) of the Jetpur textile dyeing and printing industrial sector situated in the district of Rajkot, Gujarat, India. Here, we present the annotated 4.18-Mb draft genome sequence of B. subtilis C3, providing information about the metabolic pathways involved in decolorization and degradation of several commercial textile azo dyes. Thus, we confirm B. subtilis C3 as a potential candidate for bioremediation of textile effluents.

Effect of roughage on rumen microbiota composition in the efficient feed converter and sturdy Indian Jaffrabadi buffalo (Bubalus bubalis).

BACKGROUND: The rumen microbiota functions as an effective system for conversion of dietary feed to microbial proteins and volatile fatty acids. In the present study, metagenomic approach was applied to elucidate the buffalo rumen microbiome of Jaffrabadi buffalo adapted to varied dietary treatments with the hypothesis that the microbial diversity and subsequent in the functional capacity will alter with diet change and enhance our knowledge of effect of microbe on host physiology. Eight adult animals were gradually adapted to an increasing roughage diet (4 animals each with green and dry roughage) containing 50:50 (J1), 75:25 (J2) and 100:0 (J3) roughage to concentrate proportion for 6 weeks. Metagenomic sequences of solid (fiber adherent microbiota) and liquid (fiber free microbiota) fractions obtained using Ion Torrent PGM platform were analyzed using MG-RAST server and CAZymes approach. RESULTS: Taxonomic analysis revealed that Bacteroidetes was the most abundant phylum followed by Firmicutes, Fibrobacter and Proteobacteria. Functional analysis revealed protein (25-30 %) and carbohydrate (15-20 %) metabolism as the dominant categories. Principal component analysis demonstrated that roughage proportion, fraction of rumen and type of forage affected rumen microbiome at taxonomic as well as functional level. Rumen metabolite study revealed that rumen fluid nitrogen content reduced in high roughage diet fed animals and pathway analysis showed reduction in the genes coding enzymes involved in methanogenesis pathway. CAZyme annotation revealed the abundance of genes encoding glycoside hydrolases (GH), with the GH3 family most abundant followed by GH2 and GH13 in all samples. CONCLUSIONS: Results reveals that high roughage diet feed improved microbial protein synthesis and reduces methane emission. CAZyme analysis indicated the importance of microbiome in feed component digestion for fulfilling energy requirements of the host. The findings help determine the role of rumen microbes in plant polysaccharide breakdown and in developing strategies to maximize productivity in ruminants.

Isolation of chitinolytic Clostridium sp. NCR from Mehsani buffalo rumen, its genomic analysis and potential role in rumen.

Genomic analysis of Clostridium sp. NCR, an anaerobic Gram positive bacterium which was isolated from rumen fluid of Mehsani breed of buffalo revealed presence of various environmental gene tags (EGTs) involved in pathways for utilizing a wide range of substrates. Here we report the sequence of this rumen isolate, its whole genome sequence has been deposited in DDBJ/EMBL/GenBank under the accession number JQHY00000000. The genome comprises of a 3.62-Mb draft genome with a G + C content of 28.10%, which encodes a total of 3126 proteins. Functional analysis provides information about the microbe's role in maintaining host homeostasis and its fiber degradation potential.

Functional Characterization Reveals Novel Putative Coding Sequences in Prevotella ruminicola Genome Extracted from Rumen Metagenomic Studies.

AIM: To reassemble Prevotella ruminicola genome from rumen metagenomic data of cattle and buffalo and compare with the published reference genome. METHOD: Rumen microbial communities from Mehsani buffaloes (n = 8) and Kankrej cattle (n = 8), each adapted to different proportions of a dry or green roughage diet, were subjected to metagenomic sequencing by Ion Torrent PGM, and subsequent reads were analyzed by MG-RAST. Using reference-guided assembly of the sequences against the published P. ruminicola strain 23, draft genomes of 2.56 and 2.46 Mb were reconstructed from Mehsani buffalo and Kankrej cows, respectively. The genomes were annotated using the RAST Server and carbohydrate active enzyme (CAZyme) analysis. RESULTS: Taxonomic analysis by MG-RAST revealed P. ruminicola to be the most abundant species present among the rumen microflora. Functional annotation of reconstructed genomes using the RAST Server depicted the maximum assignment of coding sequences involved in the subsystems amino acid and derivatives and carbohydrate metabolism. CAZyme profiling revealed the glycoside hydrolases (GH) family to be the most abundant. GH family subclassification revealed that the extracted genomes had more sequence hits for GH2, GH3, GH92 and GH97 as compared to the reference. CONCLUSION: The results reflect the metabolic significance of rumen-adapted P. ruminicola in utilizing a coarse diet for animals based on acquisition of novel genetic elements.

Biodegradable gelatin-ciprofloxacin-montmorillonite composite hydrogels for controlled drug release and wound dressing application.

This work reports intercalation of a sparingly soluble antibiotic (ciprofloxacin) into layered nanostructure silicate, montmorillonite (MMT) and its reaction with bone derived polypeptide, gelatin that yields three-dimensional composite hydrogel. Drug intercalation results in changes in MMT layered space and drug loaded MMT and gelatin creates 3D morphology with biodegradable composite hydrogels. These changes can be correlated with electrostatic interactions between the drug, MMT and the gelatin polypeptides as confirmed by X-ray diffraction patterns, thermal, spectroscopic analyses, computational modeling and 3D morphology revealed by SEM and TEM analysis. No significant changes in structural and functional properties of drug was found after intercalation in MMT layers and composite hydrogels. In vitro drug release profiles showed controlled release up to 150h. The drug loaded composite hydrogels were tested on lung cancer cells (A549) by MTT assay. The results of in vitro cell migration and proliferation assay were promising as composite hydrogels induced wound healing progression. In vitro biodegradation was studied using proteolytic enzymes (lysozyme and protease K) at physiological conditions. This new approach of drug intercalation into the layered nanostructure silicate by ion-exchange may have significant applications in cost-effective wound dressing biomaterial with antimicrobial property.

Use of real-time PCR technique in determination of major fibrolytic and non fibrolytic bacteria present in Indian Surti buffaloes (Bubalus bubalis).

In the milk industry in India, buffalo breeds are most commonly used for milk production. Efficiency of fiber digestion in ruminants is critical for animal productivity. Bacteria play an important role in fiber digestion and utilization. Absolute quantification real-time PCR was used to quantify ten bacterial species in rumen fluid of Surti buffalo fed green fodder, dry roughage and compound concentrate mixture. Abundance of each target taxon was calculated as a fraction of the total 16S rRNA gene copies in the samples, using taxon-specific primers. Bacterial populations showed a clear predominance of Ruminococcus albus, which comprised 5.66% of the bacterial rRNA gene copies in the samples. However, only 0.9% to 4.24% of the bacterial rRNA gene copies were represented by the ruminal Fibrobacter succinogenes, Ruminococcus flavefaciens and Prevotella species. The proportion of rRNA gene copies attributable to Selenomonas ruminantium, Streptococcus bovis, Ruminobacter amylophilus, Treponema bryantii and Anaerovibrio lipolytica was even less abundant, each comprising < 0.11% of the bacterial rRNA gene copies. The data suggest that the aggregate abundance of the most intensively studied ruminal bacterial species is relatively low and that a large fraction of the uncultured population represents a single bacterial genus.

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 3 h 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.

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.

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.