Pangenome-driven insights into nitrogen metabolic characteristics of Citrobacter portucalensis strain AAK_AS5 associated with wastewater nitrogen removal.

Nitrogen metabolism in the genus Citrobacter is very poorly studied despite its several implications in wastewater treatment. In the current study, Citrobacter portucalensis strain AAK_AS5 was assessed for remediation of simulated wastewater supplemented with different inorganic nitrogen sources. Combination of (NH4)2SO4 with KNO3 was the most preferred for achieving high growth density followed by (NH4)2SO4 and KNO3 alone. This was in agreement with highest ammonical nitrogen removal of 92.9% in the presence of combined nitrogen sources and the corresponding nitrate nitrogen removal of 93% in the presence of KNO3. Furthermore, these removal capacities were validated by investigating the uniqueness and the spread of metabolic features through pan-genomic approach that revealed the largest number of unique genes (2097) and accessory genes (705) in strain AAK_AS5. Of the total 44 different types of nitrogen metabolism-related genes, 39 genes were associated with the core genome, while 5 genes such as gltI, nasA, nasR, nrtA, and ntrC uniquely belonged to the accessory genome. Strain AAK_AS5 possessed three major nitrate removal pathways viz., assimilatory and dissimilatory nitrate reduction to ammonia (ANRA & DNRA), and denitrification; however, the absence of nitrification was compensated by ammonia assimilation catalyzed by gene products of the GDH and GS-GOGAT pathways. narGHIJ encoding the respiratory nitrate reductase was commonly identified in all the studied genomes, while genes such as nirK, norB, and nosZ were uniquely present in the strain AAK_AS5 only. A markedly different genetic content and metabolic diversity between the strains reflected their adaptive evolution in the environment thus highlighting the significance of C. portucalensis AAK_AS5 for potential application in nitrogen removal from wastewater.

Social Media Data Mining of Antitobacco Campaign Messages: Machine Learning Analysis of Facebook Posts.

BACKGROUND: Social media platforms provide a valuable source of public health information, as one-third of US adults seek specific health information online. Many antitobacco campaigns have recognized such trends among youth and have shifted their advertising time and effort toward digital platforms. Timely evidence is needed to inform the adaptation of antitobacco campaigns to changing social media platforms. OBJECTIVE: In this study, we conducted a content analysis of major antitobacco campaigns on Facebook using machine learning and natural language processing (NLP) methods, as well as a traditional approach, to investigate the factors that may influence effective antismoking information dissemination and user engagement. METHODS: We collected 3515 posts and 28,125 associated comments from 7 large national and local antitobacco campaigns on Facebook between 2018 and 2021, including the Real Cost, Truth, CDC Tobacco Free (formally known as Tips from Former Smokers, where "CDC" refers to the Centers for Disease Control and Prevention), the Tobacco Prevention Toolkit, Behind the Haze VA, the Campaign for Tobacco-Free Kids, and Smoke Free US campaigns. NLP methods were used for content analysis, including parsimonious rule-based models for sentiment analysis and topic modeling. Logistic regression models were fitted to examine the relationship of antismoking message-framing strategies and viewer responses and engagement. RESULTS: We found that large campaigns from government and nonprofit organizations had more user engagements compared to local and smaller campaigns. Facebook users were more likely to engage in negatively framed campaign posts. Negative posts tended to receive more negative comments (odds ratio [OR] 1.40, 95% CI 1.20-1.65). Positively framed posts generated more negative comments (OR 1.41, 95% CI 1.19-1.66) as well as positive comments (OR 1.29, 95% CI 1.13-1.48). Our content analysis and topic modeling uncovered that the most popular campaign posts tended to be informational (ie, providing new information), where the key phrases included talking about harmful chemicals (n=43, 43%) as well as the risk to pets (n=17, 17%). CONCLUSIONS: Facebook users tend to engage more in antitobacco educational campaigns that are framed negatively. The most popular campaign posts are those providing new information, with key phrases and topics discussing harmful chemicals and risks of secondhand smoke for pets. Educational campaign designers can use such insights to increase the reach of antismoking campaigns and promote behavioral changes.

Recent trends in the biotechnology of functional non-digestible oligosaccharides with prebiotic potential.

Prebiotics as a part of dietary nutrition can play a crucial role in structuring the composition and metabolic function of intestinal microbiota and can thus help in managing a clinical scenario by preventing diseases and/or improving health. Among the different prebiotics, non-digestible carbohydrates are molecules that selectively enrich a typical class of bacteria with probiotic potential. This review summarizes the current knowledge about the different aspects of prebiotics, such as its production, characterization and purification by various techniques, and its link to novel product development at an industrial scale for wide-scale use in diverse range of health management applications. Furthermore, the path to effective valorization of agricultural residues in prebiotic production has been elucidated. This review also discusses the recent developments in application of genomic tools in the area of prebiotics for providing new insights into the taxonomic characterization of gut microorganisms, and exploring their functional metabolic pathways for enzyme synthesis. However, the information regarding the cumulative effect of prebiotics with beneficial bacteria, their colonization and its direct influence through altered metabolic profile is still getting established. The future of this area lies in the designing of clinical condition specific functional foods taking into consideration the host genotypes, thus facilitating the creation of balanced and required metabolome and enabling to maintain the healthy status of the host.

In Silico Genomic Characterization of Bacillus velezensis Strain AAK_S6 for Secondary Metabolite and Biocontrol Potential.

This study reports the draft genome sequence of Bacillus velezensis strain AAK_S6 as a valuable biocontrol agent with high genetic potential to harbor broad-spectrum secondary metabolite producing capacity. A genome data of 4,430,946 bp were generated with a GC content of 46.4% that comprised a total of 4861 genes including a total of 4757 coding sequences (CDS), 104 rRNAs, 85 tRNAs and 80 pseudo-genes. Based on the overall genome-based relatedness indices (OGRI), the strain AAK_S6 has been reassigned to its correct taxonomic position. The strain shared > 99% OrthoANI, > 98% ANIb, > 99% ANIm, > 0.9900 TETRA, > 93% dDDH and 0.08% GC content difference with model strains B. velezensis FZB42T and B. velezensis NRRL B-41580T thus delineating them as closely related species. The genome was mined for strain-specific secondary metabolites that revealed 20 gene clusters for the biosynthesis of several cyclic lipopeptides, saccharides, polyketides along with bacilysin. Thus, the comparative genome analysis of strain AAK_S6 with members of the genus Bacillus by phylogenomic approach revealed that the genomes were almost similar genetically and contained the core genome for B. velezensis. Genomic data strongly supported that the strain AAK_S6 represented an excellent potential candidate for the production of secondary metabolites that could serve as a basis for developing new biocontrol agents, plant growth promoters, and microbial fertilizers.

Phylogenomic analysis of Citrobacter sp. strain AAK_AS5 and its metabolic capabilities to support nitrogen removal behavior.

Despite the ubiquity of the genus Citrobacter in clinical, industrial, and environmental scenarios, a large number of Citrobacter strains have not been explored at the genome-scale level. In this study, accurate taxonomic assignment of strain AAK_AS5 isolated from activated sludge was achieved by in-silico genomic comparison using Overall Genome-based Relatedness Indices (ANI(OAT): 97.55%, ANIb:97.28%, and ANIm: 97.83%) that indicated its closest identity to the related strain Citrobacter portucalensis A60T . Results were consistent with a digital DNA-DNA hybridization value of 80% with C. portucalensis A60T which was greater than the species boundary value >70% for delineating closely related bacterial species. Gene mining through Kyoto Encyclopedia of Genes and Genomes (KEGG), and annotation using rapid annotation subsystem technology (RAST) revealed the notable gene contents for nitrogen metabolism and other pathways associated with nitrate/nitrite ammonification (28 genes), ammonia assimilation (22 genes), and denitrification pathways (14 genes). Furthermore, the strain AAK_AS5 also exhibited a high soluble chemical oxygen demand (sCOD), NH4 + -N, and NO3 - -N removal efficiency of 91.4%, 90%, and 93.6%, respectively thus validating its genetic capability for utilizing both (NH4 )2 SO4 and KNO3 as the nitrogen source. The study provided deeper insights into the phylogenomics and the genetic potential of Citrobacter, sp. strain AAK AS5 associated with nitrogen metabolism thus signifying the potential application of the isolate for treating nitrogen-rich wastewaters.

Potential of camel rumen derived Bacillus subtilis and Bacillus velezensis strains for application in plant biomass hydrolysis.

Rumen inhabiting Bacillus species possesses a high genetic potential for plant biomass hydrolysis and conversion to value-added products. In view of the same, five camel rumen-derived Bacillus strains, namely B. subtilis CRN 1, B. velezensis CRN 2, B. subtilis CRN 7, B. subtilis CRN 11, and B. velezensis CRN 23 were initially assayed for diverse hydrolytic activities, followed by genome mining to unravel the potential applications. CRN 1 and CRN 7 showed the highest endoglucanase activity with 0.4 U/ml, while CRN 23 showed high ß-xylosidase activity of 0.36 U/ml. The comprehensive genomic insights of strains resolve taxonomic identity, clusters of an orthologous gene, pan-genome dynamics, and metabolic features. Annotation of Carbohydrate active enzymes (CAZymes) reveals the presence of diverse glycoside hydrolases (GH) GH1, GH5, GH43, and GH30, which are solely responsible for the effective breakdown of complex bonds in plant polysaccharides. Further, protein modeling and ligand docking of annotated endoglucanases showed an affinity for cellotrioside, cellobioside, and ß-glucoside. The finding indicates the flexibility of Bacillus-derived endoglucanase activity on diverse cellulosic substrates. The presence of the butyrate synthesis gene in the CRN 1 strain depicts its key role in the production of important short-chain fatty acids essential for healthy rumen development. Similarly, antimicrobial peptides such as bacilysin and non-ribosomal peptides (NRPS) synthesized by the Bacillus strains were also annotated in the genome. The findings clearly define the role of Bacillus sp. inside the camel rumen and its potential application in various plant biomass utilizing industry and animal health research sectors.

Differential expression and cross-correlation between global regulator and pho regulon genes involved in decision-making under phosphate stress.

The differential gene expression under phosphate stress conditions leads to cross-talk between the global regulator, pho regulon, and metabolic genes. Promoter activity analysis of the selected 23 genes reveals the dynamic nature of real-time gene expression under different phosphate conditions. The expression profiles of the global regulator (rpoD, soxR, soxS, arcB, and fur), pho regulon (phoH, phoR, phoB, and ugpB), and metabolic genes (sdh, pfkA, ldh) varied significantly on phosphate level variation. Under stress conditions, soxR switches expression partners and co-expresses with rpoS instead of soxS. The partner-switching behavior of the genes under a challenging environment represents the intelligence of functional execution and ensures cell survival. The dynamic expression profile of the selected genes applies a time-lagged correlation to provide insight into the differential gene interaction between time-shifted expression profiles. Under different phosphate conditions, the minimum spanning tree graph revealed a different clustering pattern of selected genes depending on the computed distance and its proximity to other promoters.

Mining the landfill soil metagenome for denitrifying methanotrophic taxa and validation of methane oxidation in microcosm.

In the present study, the microbial community residing at different depths of the landfill was characterized to assess their roles in serving as a methane sink. Physico-chemical characterization revealed the characteristic signatures of anaerobic degradation of organic matter in the bottom soil (50-60 cm) and, active process of aerobic denitrification in the top soil (0-10 cm). This was also reflected from the higher abundance of bacterial domain in the top soil metagenome represented by dominant phyla Proteobacteria and Actinobacteria which are prime decomposers of organic matter in landfill soils. The multiple fold higher relative abundances of the two most abundant genera; Streptomyces and Intrasporangium in the top soil depicted greater denitrifying taxa in top soil than the bottom soil. Amongst the aerobic methanotrophs, the genera Methylomonas, Methylococcus, Methylocella, and Methylacidiphilum were abundantly found in the top soil metagenome that were essential for oxidizing methane generated in the landfill. On the other hand, the dominance of archaeal domain represented by Methanosarcina and Methanoculleus in the bottom soil highlighted the complete anaerobic digestion of organic components via acetoclasty, carboxydotrophy, hydrogenotrophy, methylotrophy. Functional characterization revealed a higher abundance of methane monooxygenase gene in the top soil and methyl coenzyme M reductase gene in the bottom soil that correlated with the higher relative abundance of aerobic methanotrophs in the top soil while methane generation being the active process in the highly anaerobic bottom soil in the landfill. The activity dependent abundance of endogenous microbial communities in the different zones of the landfill was further validated by microcosm studies in serum bottles which established the ability of the methanotrophic community for methane metabolism in the top soil and their potential to serve as sink for methane. The study provides a better understanding about the methanotrophs in correlation with their endogenous environment, so that these bacteria can be used in resolving the environmental issues related to methane and nitrogen management at landfill site.

Differential colonization and functioning of microbial community in response to phosphate levels.

Microbes play a major role in phosphate cycling and regulate its availability in various environments. The metagenomic study highlights the microbial community divergence and interplay of phosphate metabolism functional genes in response to phosphate rich (100 mgL-1), limiting (25 mgL-1), and stressed (5 mgL-1) conditions at lab-scale bioreactor. Total five core phyla were found responsive toward different phosphate (Pi) levels. However, major variations were observed in Proteobacteria and Actinobacteria with 33-81% and 5-56% relative abundance, respectively. Canonical correspondence analysis reflects the colonization of Sinorhizobium (0.8-4%), Mesorhizobium (1-4%), Rhizobium (0.5-3%) in rich condition whereas, Pseudomonas (1-2%), Rhodococcus (0.2-2%), Flavobacterium (0.2-1%) and Streptomyces (0.3-4%) colonized in limiting and stress condition. The functional profiling demonstrates that Pi limiting and stress condition subjected biomass were characterized by abundant PQQ-Glucose dehydrogenase, alkaline phosphatase, 5'-nucleotidase, and phospholipases C genes. The finding implies that the major abundant genera belonging to phosphate solubilization enriched in limiting/stressed conditions decide the functional turnover by modulating the metabolic flexibility for Pi cycling. The study gives a better insight into intrinsic ecological responsiveness mediated by microbial communities in different Pi conditions that would help to design the microbiome according to the soil phosphate condition. Furthermore, this information assists in sustainably maintaining the ecological balance by omitting excessive chemical fertilizers and eutrophication.

Genomic characterization of denitrifying methylotrophic Pseudomonas aeruginosa strain AAK/M5 isolated from municipal solid waste landfill soil.

Municipal landfills are known for methane production and a source of nitrate pollution leading to various environmental issues. Therefore, this niche was selected for the isolation of one-carbon (C1) utilizing bacteria with denitrifying capacities using anaerobic enrichment on nitrate mineral salt medium supplemented with methanol as carbon source. Eight axenic cultures were isolated of which, isolate AAK/M5 demonstrated the highest methanol removal (73.28%) in terms of soluble chemical oxygen demand and methane removal (41.27%) at the expense of total nitrate removal of 100% and 33% respectively. The whole genome characterization with phylogenomic approach suggested that the strain AAK/M5 could be assigned to Pseudomonas aeruginosa with close neighbours as type strains DVT779, AES1M, W60856, and LES400. The circular genome annotation showed the presence of complete set of genes essential for methanol utilization and complete denitrification process. The study demonstrates the potential of P. aeruginosa strain AAK/M5 in catalysing methane oxidation thus serving as a methane sink vis-à-vis utilization of nitrate. Considering the existence of such bacteria at landfill site, the study highlights the need to develop strategies for their enrichment and designing of efficient catabolic activity for such environments.

Unique pool of carbohydrate-degrading enzymes in novel bacteria assembled from cow and buffalo rumen metagenomes.

Reconstruction of genomes from environmental metagenomes offers an excellent prospect for studying the metabolic potential of organisms resilient to isolation in laboratory conditions. Here, we assembled 12 high-quality metagenome-assembled genomes (MAGs) with an estimated completion of ≥ 90% from cow and buffalo rumen metagenomes. Average nucleotide identity (ANI) score-based screening with an existing database suggests the novelty of these genomes. Gene prediction led to the identification of 30,359 protein-encoding genes (PEGs) across 12 genomes, of which only 44.8% were annotated against a specific functional attribute. Further analysis revealed the presence of 985 carbohydrate-active enzymes (CAZymes) from more than 50 glycoside hydrolase families, of which 90% do not have a proper match in the CAZy database. Genome mining revealed the presence of a high frequency of plant biomass deconstructing genes in Bacteroidetes MAGs compared to Firmicutes. The results strongly indicate that the rumen chamber harbors high numbers of deeply branched and as-yet uncultured microbes that encode novel CAZymes, candidates for prospective usage in plant biomass-hydrolyzing and biofuels industries. KEY POINTS: • Genome binning plays a crucial role in revealing the metabolic potential of uncultivable microbes. • Assembled 12 novel genomes from cow and buffalo rumen metagenome datasets. • High frequency of plant biomass deconstructing genes identified in Bacteroidetes MAGs.

Two-Dimensional Cell Separation: a High-Throughput Approach to Enhance the Culturability of Bacterial Cells from Environmental Samples.

Culture-independent sequence data from various environmental samples have revealed an immense microbial diversity of environmental, clinical, and industrial importance that has not yet been cultured. Cultivation is imperative to validate findings emerging from cultivation-independent molecular data and exploit the isolated organisms for biotechnological purposes. Efforts have been made to boost the cultivability of microbes from environmental samples by use of a range of techniques and instrumentation. The manuscript presents a novel yet simple and innovative approach to improving the cultivability of natural microorganisms without sophisticated instrumentation. By employing gradient centrifugation combined with serial dilution ("two-dimensional cell separation"), significantly higher numbers of genera (>2-fold higher) and species (>3-fold higher) were isolated from environmental samples, including soil, anaerobic sludge, and landfill leachate, than from using serial dilution alone. This simple and robust protocol can be modified for any environment and culture medium and provides access to untapped microbial diversity. IMPORTANCE In the manuscript, we have developed a novel yet simple and innovative approach to improving the cultivability of natural microorganisms without sophisticated instrumentation. The method used gradient centrifugation combined with serial dilution (two-dimensional cell separation) to improve taxum recovery from samples. This simple and robust protocol can be modified for any environment and culture medium and provides access to untapped microbial diversity. This approach can be incorporated with less labor and complexity in laboratories with minimal instrumentation. As cultivation is a workflow that is well suited to lower-resource microbiology labs, we believe improvements in cultivability can increase opportunities for scientific collaborations between low-resource labs and groups focused on high-resource cultivation-independent methodologies.

Managing gene expression in Pseudomonas simiae EGD-AQ6 for chloroaromatic compound degradation.

Pseudomonas simiae EGD-AQ6 is capable of utilizing chloroaromatic compound i.e., 2-4-D efficiently in its biofilm phenotype. The differential accumulation of intermediate 4-chlorocatechol rates were significant in planktonic and biofilm phenotypes, as well as in the  increased biofilm adapted cell numbers. Interestingly, response surface analysis demonstrated the combined positive effects of 2-4-D degradation and 4-CCA accumulation rates and the gene expression profiles, with significant up-regulation of degradative and biofilm genes, and greater participation of pellicle genes in the biofilm phenotypes than their planktonic counterparts, thereby revealing a phenotype variation. It positively validated the physiological data. Furthermore, the sequence similarity of the 2-4-D catabolic and biofilm-forming proteins (pel ABCDEFG and pga ABCD), which are responsible for building carbohydrate rich extracellular matrix, were significant with the respective organisms. This is the first study, which endorses this strain to be unique in efficient chloro-aromatic degradation through phenotype variation, thereby proving a potential candidate in the improvement of bioremediation technologies.

A comprehensive review on current status and future perspectives of microbial volatile fatty acids production as platform chemicals.

Volatile fatty acids (VFA), the secondary metabolite of microbial fermentation, are used in a wide range of industries for production of commercially valuable chemicals. In this review, the fermentative production of VFAs by both pure as well mixed microbial cultures is highlighted along with the strategies for enhancing the VFA production through innovations in existing approaches. Role of conventionally applied tools for the optimization of operational parameters such as pH, temperature, retention time, organic loading rate, and headspace pressure has been discussed. Furthermore, a comparative assessment of above strategies on VFA production has been done with alternate developments such as co-fermentation, substrate pre-treatment, and in situ removal from fermented broth. The review also highlights the applications of different bioreactor geometries in the optimum production of VFAs and how metagenomic tools could provide a detailed insight into the microbial communities and their functional attributes that could be subjected to metabolic engineering for the efficient production of VFAs.

Mitigating the Effect of COVID Lockdown Period on Channel and Bandwidth Utilization in Mobile Communication Network in North Western Rajasthan (India).

The COVID-19 lockdown has led all the citizens (mobile subscribers) of India to stay at home and rather work from home. The people have started consuming more channel utilization (in mobile communication) through a continuous long duration conversations and more internet data through more streaming content as well as logging on to work from home. It was also reflected in how data demand from residential areas rose as compared to commercial areas. Consequently the bandwidth and channel saturation has evolved out to be a severe problem thereby affecting the work performance of all online offices and multi-national companies. This research paper proposes the simulation based experimental study of DITMC technique for mitigating this effect with a special concern in North Western Rajasthan part of India. The simulation results show that significant enhancement of 60.52% in channel utilization and bandwidth optimization is possible with negligible overhead of 0.23%. This technique also enables the telecom operators to ponder research in this field that will promisingly lead to manage augmented number of mobile subscribers (independent of any lockdown period) in limited bandwidth thereby using the spectrum efficiently.

Nitric oxide-secreting probiotics as sustainable bio-cleaners for reverse osmosis membrane systems.

Membrane biofouling in water purification plants is a serious issue of worldwide concern. Various chemical, physical, and biochemical processes are practised for membrane clean-up. A high-dosage treatment adversely affects the life expectancy of the membrane, and minimum dosage seems unable to deteriorate the biofilms on the membrane. It is reported that quorum quenchers like nitric oxide (NO) disrupt biofilm signals through metabolic rewiring, and also NO is known to be secreted by probiotics (good bacteria). In the present review, it is hypothesized that if probiotic biofilms secreting NO are used, other microbes that aggregate on the filtration membrane could be mitigated. The concept of probiotic administration on filtration membrane seeks to be encouraged because probiotic bacteria will not be hazardous, even if released during filtration. The fundamental motive to present probiotics as a resource for sequestering NO may serve as multifunctional bioweapons for membrane remediation, which will virtually guarantee their long-term sustainability and green approach.

Revealing the potential of Klebsiella pneumoniae PVN-1 for plant beneficial attributes by genome sequencing and analysis.

Genome sequencing of Klebsiella pneumoniae PVN-1, isolated from effluent treatment plant (ETP), generates a 5.064 Mb draft genome with 57.6% GC content. The draft genome assembled into 19 contigs comprises 4783 proteins, 3 rRNA, 44 tRNA, 8 other RNA, 4911 genes, and 73 pseudogenes. Genome information revealed the presence of phosphate metabolism/solubilizing, potassium solubilizing, auxin production, and other plant benefiting attributes like enterobactin and pyrroloquinoline quinone biosynthesis genes. Presence of gcd and pqq genes in K. pneumoniae PVN-1 genome validates the inorganic phosphate solubilizing potential (528.5 mg/L). Pangenome analysis identified a unique 5'-Nucleotidase that further assists in enhanced phosphate acquisition. Additionally, the genetic potential for complete benzoate, catechol, and phenylacetate degradation with stress response and heavy metal (Cu, Zn, Ni, Co) resistance was identified in K. pneumoniae PVN-1. Functioning of annotated plant benefiting genes validates by the metabolic activity of auxin production (7.40 µg/mL), nitrogen fixation, catalase activity, potassium solubilization (solubilization index-3.47), and protease activity (proteolytic index-2.27). In conclusion, the K. pneumoniae PVN-1 genome has numerous beneficial qualities that can be employed to enhance plant growth as well as for phytoremediation. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1007/s13205-021-03020-2.

Evaluation and association of periodontal status with levels of Porphyromonas gingivalis in chronic periodontitis with and without Type 2 diabetes mellitus following nonsurgical periodontal therapy using quantitative polymerase chain reaction: An interventional study.

BACKGROUND: The aim of the present study was to detect and correlate the levels of Porphyromonas gingivalis with clinical parameters after nonsurgical periodontal therapy (NSPT) in chronic periodontitis patients with or without Type 2 diabetes mellitus (T2DM), using quantitative polymerase chain reaction (Q-PCR) method. MATERIALS AND METHODS: Sixty patients equally divided into three groups, i.e., periodontally healthy (Group I), chronic periodontitis (CP) (Group II), and CP with T2DM patients (Group III) were assessed through clinical parameters of probing pocket depth (PPD) and clinical attachment level (CAL) and were correlated for the presence of P. gingivalis in the respective groups. PPD, CAL, and saliva samples for microbiological evaluation were assessed at baseline, 1-, and 3-month post-NSPT. RESULTS: Significant reduction of PPD was found 1.26 ± 0.22 versus 0.43 ± 0.33 mm in Group I, 4.62 ± 0.78 versus 2.58 ± 0.60 mm in Group II, and 6.28 ± 1.52 versus 4.01 ± 1.38 mm in Group III post-NSPT at 3 months. Similarly, a notable reduction of CAL was exhibited in both Group II (5.28 ± 0.80 vs. 3.12 ± 0.77 mm) and Group III (7.14 ± 1.59 vs. 4.51 ± 1.38 mm) patients after NSPT at 3 months. A greater reduction of P. gingivalis concentrations was observed in both Group II and Group III at 3-month post-NSPT. CONCLUSION: The substantial improvement of clinical parameters was found to be in correlation with the load of P. gingivalis, which was reduced more in Group II than in Group III, emphasizing the applicability and sensitivity of Q-PCR method for its assessment.

Genomic insight for algicidal activity in Rhizobium strain AQ_MP.

Occurrence of Harmful Algal Blooms (HABs) creates a threat to aquatic ecosystem affecting the existing flora and fauna. Hence, the mitigation of HABs through an eco-friendly approach remains a challenge for environmentalists. The present study provides the genomic insights of Rhizobium strain AQ_MP, an environmental isolate that showed the capability of degrading Microcystis aeruginosa (Cyanobacteria) through lytic mechanisms. Genome sequence analysis of Rhizobium strain AQ_MP unraveled the algal lytic features and toxin degradative pathways in it. Functional genes of CAZymes such as glycosyltransferases (GT), glycoside hydrolases (GH), polysaccharide lyases (PL) which supports algal polysaccharide degradation (lysis) were present in Rhizobium strain AQ_MP. Genome analysis also clarified the presence of the glutathione metabolic pathway, which is the biological detoxification pathway responsible for toxin degradation. The conserved region mlrC, a microcystin toxin-degrading gene was also annotated in the genome. The study illustrated that Rhizobium strain AQ_MP harbored a wide range of mechanisms for the lysis of Microcystis aeruginosa cells and its toxin degradation. In future, this study finds promiscuity for employing Rhizobium strain AQ_MP species for bioremediation, based on its physiological and genomic analysis.

Isolation, purification and characterization of a novel esterase from camel rumen metagenome.

Bacterial esterases are gaining the importance in pharmaceuticals and agrochemical industries due to their excellent biocatalytic properties and a wide range of applications. In the present study, a novel gene encoding an esterase (designated as Est-CR) was identified from shotgun metagenomic sequencing data of camel rumen (Camelus dromedarius) liquor. The open reading frame consisted of 1,224bp, which showed 84.03% sequence identity to Bacteroidales bacterium, corresponding to a protein of 407 amino acids and has a catalytic domain belonging to an esterase. Est-CR belonged to family V with GLSMG domain. The purified enzyme with a molecular mass of 62.64 kDa was checked on SDS-PAGE, and its expression was confirmed by western blotting. The enzyme was active and stable over a broad range of temperature (35-65 °C), displayed the maximum activity at 50 °C and pH 7.0. Individually all metal ions inhibited the enzyme activity, while in combination, K2+, Ca2+, Mg2+ and Mn2+ metal ions enhanced the enzyme activity. The detergents strongly inhibited the activity, while EDTA (10 mM) increased the activity of the Est-CR enzyme. The enzyme showed specificity to short-chain substrates and displayed an optimum activity against butyrate ester. This novel enzyme might serve as a promising candidate to meet some harsh industrial processes enzymatic needs.