Studies on the morphology, phylogeny, and bioremediation potential of Penicillium citrinum and Paecilomyces variotii (Eurotiales) from oil-contaminated areas.

Crude oil pollution is one of the most arduous issues to address, as it is hazardous to both public health and the environment. The discovery of novel biosurfactants-producing fungi and bacteria is in high demand due to their excellent properties and wide range of applications. The aim of this research is to isolate a powerful biosurfactant-producing fungus from the crude oil site near Barauni oil refinery in Bihar, India. Standard protocols were used to collect samples from the site. An integrative taxonomic approach was used, which included morphological, molecular, and phylogenetic analysis. The use of plating samples on Bushnell-Hass (BH) media aided in the isolation of a fungal strain from an enrichment culture. Two fungal strains isolated from contaminated soils, Penicillium citrinum and Paecilomyces variotti, showed potent oil degrading activity in a single culture. For preliminary biosurfactants screening, drop collapse assays, oil spreading, and emulsification activity tests were used. The results showed that the cultures performed well in the screening test and were further evaluated for degradation capacity. Different treatment periods (0, 3, 6, 9, 12, and 15 days) were used to observe degradation in single cultures. A steady drop in pH, an alteration in optical density and an increase in carbon dioxide release showed the ability of fungal strain to degrade the crude oil in a single culture. Fungi mycelia provide a larger surface area for absorption and degradation of the pollutants in contaminated environment. They produce extracellular enzymes to degrade the oil, and at the same time absorb and utilise carbon, allowing them to remove toxic substances from the oil. Thus, they could be candidates for bioremediation of a hydrocarbon-contaminated site.

Molineria recurvata Ameliorates Streptozotocin-Induced Diabetic Nephropathy through Antioxidant and Anti-Inflammatory Pathways.

Molineria recurvata (MR) has been traditionally used to manage diabetes mellitus in India. However, the molecular mechanism of MR on the diabetic-induced nephropathy has not been clearly investigated. Thus, this study investigates the protective effects of the MR extract on nephropathy in streptozotocin (STZ)-induced diabetic rats. Diabetes was instigated by a single intraperitoneal injection of STZ (45 mg/kg) in male Sprague-Dawley rats. Once the diabetes was successfully induced, the MR extract (200 mg/kg/day) or metformin (200 mg/kg/day) was orally administered for 14 days. Renal function, morphology changes and levels of inflammatory cytokines were measured. Blood glucose concentrations were considerably reduced in STZ-induced diabetic rats following treatment with the MR extract. The administration of the MR extract substantially restored the abnormal quantity of the oxidative DNA damage marker 8-hydroxy-2'-deoxy-guanosine (8-OHdG), malondialdehyde, glutathione, oxidized glutathione, superoxide dismutase, catalase, interleukin (IL)-1ß, IL-6, IL-10, and transforming growth factor-ß (TGF-ß). The urinary excretion of kidney injury molecule-1 (KIM-1), neutrophil gelatinase-associated lipocalin (NGAL), selenium binding protein 1 (SBP1), and pyruvate kinase M2 (PKM2) was significantly reduced in diabetes rats after administration of the MR extracts. In the kidneys of STZ-induced diabetic rats, the MR extracts markedly downregulated the expression of fibronectin, collagen-1, and α-smooth muscle actin (α-SMA). In particular, the MR extracts markedly increased the level of SIRT1 and SIRT3 and reduced claudin-1 in the kidney. These results suggest that the MR extracts exhibits therapeutic activity in contrast to renal injury in STZ-induced diabetic rats through repressing inflammation and oxidative stress.

Endophytic bacterial diversity in the latex-bearing caulosphere of Hevea brasiliensis Müll. Arg.

Rubber trees are a commercial cash crop, and the milky latex or polyisoprene they produce is the natural source of rubber. Little is known about the bacterial populations found in active zone of latex-bearing caulosphere. We employed a tailored cloud microbial bioinformatic approach for the identification and potential hypothetical ecological roles of an uncultured endophytic hidden bacterial community in the active zone of the latex-bearing caulosphere of Hevea brasiliensis. Small pieces of slivers were collected from healthy plant from the village: Belonia, South Tripura, rubber plantation in Northeastern India. These uncultured bacteria were identified using the V3-V4 hypervariable amplicon region of the 16 S rDNA gene. A total of 209,586 contigs have been generated. EasyMAP Version 1.0, a cloud-based microbial bioinformatics tool with an integrated QIIME2 pipeline, was used to analyze contigs. We detected 15 phyla and 91 OTUs (operational taxonomic units). Proteobacteria (73.5%) was the most enriched phylum, followed by Firmicutes (13.8%), Bacteroidetes (5.2%), and Actinobacteria (3.2%). Ammonia oxidizers, sulfate reducers, dehalogenation, chitin degradation, nitrite reducers, and aromatic hydrocarbon degraders were the most prevalent functional categories in the active zones of caulosphere. Furthermore, Gammaproteobacteria (49.2%) and Erwinia (29.19%) were the most abundant classes and genera of endophytic bacterial communities. Thus, the presence of a substantial amount of phosphate-solubilizing Gammaproteobacteria (PSB) may stimulate growth, increase plant resilience, suppress disease, and aid in the rubber and sugar breakdown. This is the first report of microbial endophytes associated with Hevea caulosphere.

Cataloguing the bacterial diversity in the active ectomycorrhizal zone of Astraeus from a dry deciduous forest of Shorea.

The plant microbiome has been considered one of the most researched areas of microbial biodiversity, yet very little information is available on the microbial communities prevailing in the mushroom's ectomycorrhizosphere. Ectomycorrhizal symbioses often result in the formation of a favourable niche which enables the thriving of various microbial symbionts where these symbionts endorse functions, such as quorum sensing, biofilm formation, volatile microbial compound (VOC) production, regulation of microbial gene expression, symbiosis and virulence. The identification of hidden uncultured microbial communities around the active ectomycorrhizal zone of Astraeus from dry deciduous sal forest of Jharkhand, India was carried out using MinION Oxford Nanopore sequencing of 16S rRNA amplicons genes. High richness of Operational Taxonomic Units (1,905 OTUs) was observed. We recorded 25 distinct phyla. Proteobacteria (36%) was the most abundant phylum, followed by Firmicutes (28%), Actinobacteria (10%) and Bacteroidetes (6%), whereas Gammaproteobacteria was the most abundant class of bacterial communities in the active ectomycorrhizal zone. The ectomycorrhizosphere soil has abundant phosphate-solubilising bacteria (PSB). This is the first report of the ectomycorrhizosphere microbiome associated with Astraeus.

Rhizospheric metagenome of the terrestrial mangrove fern Acrostichum from Indian Sunderbans.

This study reports the analyses of the rhizospheric microbiome of the terrestrial mangrove fern Acrostichum aureum Linn. from the Indian Sunderbans. Samples were collected using standard protocols and 16S rRNA gene V3-V4 region amplicon sequencing was performed to identify the microbial communities prevalent in the rhizosphere. A total of 1,931,252 quality checked reads were assembled into 204,818 contigs and were analysed using QIIME to reveal the abundance of Proteobacteria, Acidobacteria and Planctomycetes. The data is available at the NCBI - Sequence Read Archive with accession number: SRX2660456. This is the first report of the rhizospheric microbiome belonging to a fern species.

Intelligent Access to Sequence and Structure Databases (IASSD) - an interface for accessing information from major web databases.

UNLABELLED: With the advent of age of big data and advances in high throughput technology accessing data has become one of the most important step in the entire knowledge discovery process. Most users are not able to decipher the query result that is obtained when non specific keywords or a combination of keywords are used. Intelligent access to sequence and structure databases (IASSD) is a desktop application for windows operating system. It is written in Java and utilizes the web service description language (wsdl) files and Jar files of E-utilities of various databases such as National Centre for Biotechnology Information (NCBI) and Protein Data Bank (PDB). Apart from that IASSD allows the user to view protein structure using a JMOL application which supports conditional editing. AVAILABILITY: The Jar file is freely available through e-mail from the corresponding author.