Chronic industrial perturbation and seasonal change induces shift in the bacterial community from gammaproteobacteria to betaproteobacteria having catabolic potential for aromatic compounds at Amlakhadi canal.

Escalating proportions of industrially contaminated sites are one of the major catastrophes faced at the present time due to the industrial revolution. The difficulties associated with culturing the microbes, has been circumvent by the direct use of metagenomic analysis of various complex niches. In this study, a metagenomic approach using next generation sequencing technologies was applied to exemplify the taxonomic abundance and metabolic potential of the microbial community residing in Amlakhadi canal, Ankleshwar at two different seasons. All the metagenomes revealed a predominance of Proteobacteria phylum. However, difference was observed within class level where Gammaproteobacteria was relatively high in polluted metagenome in Summer while in Monsoon the abundance shifted to Betaproteobacteria. Similarly, significant statistical differences were obtained while comparing the genera amongst contaminated sites where Serratia, Achromobacter, Stenotrophomonas and Pseudomonas were abundant in summer season and the dominance changed to Thiobacillus, Thauera, Acidovorax, Nitrosomonas, Sulfuricurvum, Novosphingobium, Hyphomonas and Geobacter in monsoon. Further upon functional characterization, the microbiomes revealed the diverse survival mechanisms, in response to the prevailing ecological conditions (such as degradation of aromatic compounds, heavy metal resistance, oxidative stress responses and multidrug resistance efflux pumps, etc.). The results have important implications in understanding and predicting the impacts of human-induced activities on microbial communities inhabiting natural niche and their responses in coping with the fluctuating pollution load.

Genomic profiling and characteristics of a C1 degrading heterotrophic fresh-water bacterium Paracoccus sp. strain DMF.

Paracoccus species are metabolically versatile gram-negative, aerobic facultative methylotrophic bacteria showing enormous promise for environmental and bioremediation studies. Here we report, the complete genome analysis of Paracoccus sp. strain DMF (P. DMF) that was isolated from a domestic wastewater treatment plant in Kanpur, India (26.4287 °N, 80.3891 °E) based on its ability to degrade a recalcitrant organic solvent N, N-dimethylformamide (DMF). The results reveal a genome size of 4,202,269 base pairs (bp) with a G + C content of 67.9%. The assembled genome comprises 4141 coding sequences (CDS), 46 RNA sequences, and 2 CRISPRs. Interestingly, catabolic operons related to the conventional marine-based methylated amines (MAs) degradation pathway were functionally annotated within the genome of an obligated aerobic heterotroph that is P. DMF. The genomic data-based characterization presented here for the novel heterotroph P. DMF aims to improve the understanding of the phenotypic gene products, enzymes, and pathways involved with greater emphasis on facultative methylotrophic motility-based latent pathogenicity.

Antibiotics in the non-surgical treatment of peri-implantitis.

DATA SOURCES: Four electronic databases (MEDLINE via Pubmed; EMBASE via Ovid; EBSCO Dentistry and Oral Science Source), in addition to six related journals (Clinical Implant Dentistry and Related Research; Clinical Oral Implants Research; International Journal of Oral and Maxillofacial Implants; International Journal of Oral Implantology; Journal of Clinical Periodontology; Journal of Periodontology), were searched for publications until 2022. STUDY SELECTION: Randomised controlled trials (RCTs), evaluating the effectiveness of local or systemic antibiotics as an adjunct in the non-surgical treatment (NST) for peri-implantitis (PI), were assessed. The eligibility criteria included RCTs with a parallel group, split-mouth design and appropriate NST interventions over a three to twelve month period. DATA EXTRACTION AND SYNTHESIS: Data were extracted from RCTs to capture a multitude of primary outcomes, including: implant success rate, radiographic marginal bone loss rate, periodontal health changes and PI resolution. Risk of bias assessments were made using the Cochrane Collaboration's tool, by two authors independently and in duplicate. RCTs with similar observation periods and interventions were included in the meta-analyses. Random-effects meta-analyses of mean differences or relative risks with 95% confidence intervals were calculated, in additional to data heterogeneity calibration through I2 statistics. RESULTS: Following the screening of 270 papers, six RCTs were included, which resulted in the evaluation of 391 patients (375 implants). Adjunctive local antibiotic therapy at disease sites showed statistically significant periodontal outcomes; improvements in success rate (risk ratio = 9.89; 95% CI 2.39-40.84), probing pocket depth (mean difference (MD) = 0.6 mm; 95% CI 0.42-0.78) and bleeding on probing (MD = 0.15%; 95% CI 0.10-0.19). Conversely, adjunctive systemic antibiotics improved probing pocket depths (MD = 1.15 mm; 95% CI 0.31-1.99) and probing attachment levels only (MD = 1.10 mm; 95% CI 0.13-2.08). Across the six included RCTs, the bone loss rate and PI resolution rate determined no significant differences between the groups; mirrored in the single studies and in the meta-analysis. Disease resolution ranged from 2 to 65%. Two of the studies were found to be at low risk of bias and four presented with some concerns. CONCLUSIONS: Adjunctive antibiotics aid NST. However, the heterogeneity of study methods and low quality of current RCTs evidenced, deem their role in NSTs of PI as inconclusive.

Whole-Genome Sequencing to Predict Antimicrobial Susceptibility Profiles in Neisseria gonorrhoeae.

BACKGROUND: Neisseria gonorrhoeae is a major public health problem due to increasing incidence and antimicrobial resistance. Genetic markers of reduced susceptibility have been identified; the extent to which those are representative of global antimicrobial resistance is unknown. We evaluated the performance of whole-genome sequencing (WGS) used to predict susceptibility to ciprofloxacin and other antimicrobials using a global collection of N. gonorrhoeae isolates. METHODS: Susceptibility testing of common antimicrobials and the recently developed zolifodacin was performed using agar dilution to determine minimum inhibitory concentrations (MICs). We identified resistance alleles at loci known to contribute to antimicrobial resistance in N. gonorrhoeae from WGS data. We tested the ability of each locus to predict antimicrobial susceptibility. RESULTS: A total of 481 N. gonorrhoeae isolates, collected between 2004 and 2019 and making up 457 unique genomes, were sourced from 5 countries. All isolates with demonstrated susceptibility to ciprofloxacin (MIC ≤0.06 µg/mL) had a wild-type gyrA codon 91. Multilocus approaches were needed to predict susceptibility to other antimicrobials. All isolates were susceptible to zoliflodacin, defined by an MIC ≤0.25 µg/mL. CONCLUSIONS: Single marker prediction can be used to inform ciprofloxacin treatment of N. gonorrhoeae infection. A combination of molecular markers may be needed to determine susceptibility for other antimicrobials.

Microbial colonisation associated with conventional and self-ligating brackets: a systematic review.

BACKGROUND: Decalcification and gingivitis caused by plaque accumulation around brackets are common iatrogenic effects of fixed appliances. The influence of conventional versus self-ligating bracket design on microbial colonisation is unknown. OBJECTIVE: To assess the levels of microbial colonisation associated with conventional and self-ligating brackets. SEARCH SOURCES: Three databases were searched for publications from 2009 to 2021. DATA SELECTION: Randomised controlled trials comparing levels of microbial colonisation before and during treatment with conventional and self-ligating brackets were assessed independently and in duplicate. DATA EXTRACTION: Data were extracted independently by two authors from the studies that fulfilled the inclusion criteria. Risk of bias assessments were made using the revised Cochrane risk of bias tool for randomized trials. The quality of the included studies was assessed using the Critical Appraisal Skills Programme Checklist. RESULTS: A total of 11 randomised controlled trials were included in this systematic review. Six of the studies were found to be at low risk of bias and five presented with some concerns. The studies were considered moderate to high quality. Five trials reported no statistically significant difference in microbial colonisation between bracket types. The remaining studies showed mixed results, with some reporting increased colonisation of conventional brackets and others increased colonisation of self-ligating brackets. The heterogeneity of study methods and outcomes precluded meta-analysis. CONCLUSION: Of the 11 studies included in this systematic review, five found no differences in colonisation between conventional and self-ligating brackets. The remaining studies showed mixed results. The evidence is inconclusive regarding the association between bracket design and levels of microbial colonisation.

High Prevalence of Macrolide and Fluoroquinolone Resistance-Mediating Mutations in Mycoplasma genitalium-Positive Urine Specimens From Saskatchewan.

BACKGROUND: Mycoplasma genitalium is an emerging, sexually transmitted infection, which is more prevalent than Chlamydia trachomatis in some regions. An increase in antibiotic resistance, that is, azithromycin and moxifloxacin, recommended for treating M. genitalium infections has been noted. This is the first detailed report on the prevalence of M. genitalium and its antimicrobial resistance in Saskatchewan, Canada. METHODS: Aptima urine specimens (n = 1977), collected for the diagnosis of C. trachomatis/Neisseria gonorrhoeae, were tested for M. genitalium using the Aptima M. genitalium assay (MG-TMA). Antimicrobial resistance was ascertained using polymerase chain reaction and DNA sequencing of 23S rRNA (azithromycin) and parC (moxifloxacin) from Aptima M. genitalium assay-positive specimens; mutations predictive of resistance were noted. RESULTS: The prevalence of M. genitalium was 9.6% (189/1977). Predicted resistance to azithromycin (substitutions at positions 2058/2059 in 23S rRNA) was observed in 63.6% (70/110) of the specimens tested, whereas resistance to moxifloxacin (S83I in ParC) was observed in 10.6% (9/85) of the specimens. Mutations in both 23S rRNA and ParC were observed in 2.12% (4/189) of the specimens. Women aged 20 to 24 years had the highest prevalence (18.3%, P < 0.001), and in females, M. genitalium was significantly associated with C. trachomatis or N. gonorrhoeae/C. trachomatis (P < 0.001) coinfection. The prevalence of M. genitalium (9.6%) in the province of Saskatchewan was higher than that of the other 2 bacterial sexually transmitted infections (N. gonorrhoeae (3.09%) and C. trachomatis (6.85%). CONCLUSIONS: The prevalence of M. genitalium (9.6%) and associated resistance to azithromycin (63.6%) in Saskatchewan high, suggesting that empiric azithromycin therapy may not be adequate for treating M. genitalium infections.

Genomic Analysis Reveals Antibiotic-Susceptible Clones and Emerging Resistance in Neisseria gonorrhoeae in Saskatchewan, Canada.

Whole-genome sequencing was used to identify mutations in antibiotic resistance-conferring genes to compare susceptibility predictions with MICs and to ascertain strain types in 99 isolates of Neisseria gonorrhoeae Genotypes associated with susceptibility, as well as MIC creep or emerging resistance, were noted. Phylogenomic analysis revealed three distinctive clades and putative gonococcal transmission linkages involving a tetracycline-resistant N. gonorrhoeae outbreak and the clonal spread of susceptible isolates in men.

Characterization of antimicrobial resistance genes from Neisseria gonorrhoeae positive remnant Aptima urine specimens.

Aim: To ascertain the antimicrobial resistance and strain types (STs) of Neisseria gonorrhoeae from 50 remnant Aptima urine specimens using molecular methods. Methods: Mutations predictive of resistance to six antibiotics were identified in eight genes. STs were determined using NG-MAST and NG-STAR. Results: All eight antimicrobial resistance genes could be characterized in 36 specimens. A total of 17 specimens were predicted to be susceptible to all antibiotics, including ceftriaxone. Decreased susceptibility to cefixime and ciprofloxacin resistance was predicted in 11 specimens (PBP2 type 34.001). Overall, 38/50 specimens were predicted to be ciprofloxacin susceptible; three were azithromycin resistant. Nineteen NG-MAST and 21 NG-STAR STs were noted. Conclusion: Molecular analysis of remnant Aptima specimens enabled the prediction of emerging gonococcal cefixime and azithromycin resistance which would otherwise have been undetected.

Influence of Diet Composition on Cattle Rumen Methanogenesis: A Comparative Metagenomic Analysis in Indian and Exotic Cattle.

Comparative metagenomics approach has been used in this study to discriminate colonization of methanogenic population in different breeds of cattle. We compared two Indian cattle breeds (Gir and Kankrej) and two exotic cattle (Holstein and Jersey) breeds. Using a defined dietary plan for selected Indian varieties, the diet dependent shifts in microbial community and abundance of the enzymes associated with methanogenesis were studied. This data has been compared with the available rumen metagenome data from Holstein and Jersey dairy cattle. The abundance of genes for methanogenesis in Holstein and Jersey cattle came from Methanobacteriales order whereas, majority of the enzymes for methanogenesis in Gir and Kankrej cattle came from Methanomicrobiales order. The study suggested that by using slow/less digestible feed, the propionate levels could be controlled in rumen; and in turn, this would also help in further reducing the hydrogenotrophic production of methane. The study proposes that with the designed diet plan the overall methanogenic microbial pool or the individual methanogens could be targeted for development of methane mitigation strategies.

Functional gene profiling through metaRNAseq approach reveals diet-dependent variation in rumen microbiota of buffalo (Bubalus bubalis).

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.

Draft Genome Sequence of Paenibacillus sp. Strain DMB5, Acclimatized and Enriched for Catabolizing Anthropogenic Compounds.

Here, we present the draft genome sequence ofPaenibacillussp. strain DMB5, isolated from polluted sediments of the Kharicut Canal, Vatva, India, having a genome size of 7.5 Mbp and 7,077 coding sequences. The genome of this dye-degrading bacterium provides valuable information on the microbe-mediated biodegradation of anthropogenic compounds.

The effect of a high-roughage diet on the metabolism of aromatic compounds by rumen microbes: a metagenomic study using Mehsani buffalo (Bubalus bubalis).

In developing countries, livestock are often fed a high-lignin, low-nutrient diet that is rich in aromatic compounds. It is therefore important to understand the structure of the microbial community responsible for the metabolism of these substances. A metagenomic analysis was therefore carried out to assess the microbial communities associated with the liquid and solid fractions of rumen biomaterial from domestic Mehsani buffalo (Bubalus bubalis) fed with varying proportions of roughage. The experimental design consisted of three feeding regimes (50, 75 and 100 % roughage) and two roughage types (green and dry). Genes associated with aromatic compound degradation were assessed via high-throughput DNA sequencing. A total of 3914.94 Mb data were generated from all treatment groups. Genes coding for functional responses associated with aromatic compound metabolism were more prevalent in the liquid fraction of rumen samples than solid fractions. Statistically significant differences (p < 0.05) were also observed between treatment groups. These differences were dependent on the proportion of roughage fed to the animal, with the type of roughage having little effect. The genes present in the highest abundance in all treatment groups were those related to aromatic compound catabolism. At the phylum level, Bacteroidetes were dominant in all treatments closely followed by the Firmicutes. This study demonstrates the use of feed type to selectively enrich microbial communities capable of metabolizing aromatic compounds in the rumen of domestic buffalo. The results may help to improve nutrient utilization efficiency in livestock and are thus of interest to farming industries, particularly in developing countries, worldwide.

Deep insights into carbohydrate metabolism in the rumen of Mehsani buffalo at different diet treatments.

Ruminants are known to harbour a vast and diverse microbial community that functions in utilizing the fibrous and starchy feedstuffs. The microbial fermentation of fibrous and starchy feed is carried out by different groups of microbiota, which function in synergistic mechanism. The exploration of the shift in carbohydrate utilizing microbial community with the change in diet will reveal the efficient role of that group of microbial community in particular carbohydrate utilization. The present study explains the shifts in microbial enzymes for carbohydrate utilization with the change in the feed proportions and its correlation with the microbial community abundance at that particular treatment. The sequencing data of the present study is submitted to NCBI SRA with experiment accession IDs (ERX162128, ERX162129, ERX162130, ERX162131, ERX162139, ERX162134, ERX162140, ERX162141, ERX197218, ERX197219, ERX197220, ERX197221, ERX162158, ERX162159, ERX162160, ERX162161, ERX162176, ERX162164, ERX162165, ERX162166, ERX162167, ERX162168, ERX162169, ERX162177).

Identification of putative SNPs in progressive retinal atrophy affected Canis lupus familiaris using exome sequencing.

Progressive retinal atrophy (PRA) is one of the major causes of retinal photoreceptor cell degeneration in canines. The inheritance pattern of PRA is autosomal recessive and genetically heterogeneous. Here, using targeted sequencing technology, we have performed exome sequencing of 10 PRA-affected (Spitz=7, Cocker Spaniel=1, Lhasa Aphso=1 and Spitz-Labrador cross breed=1) and 6 normal (Spitz=5, Cocker Spaniel=1) dogs. The high-throughput sequencing using 454-Roche Titanium sequencer generated about 2.16 Giga bases of raw data. Initially, we have successfully identified 25,619 single nucleotide polymorphisms (SNPs) that passed the stringent SNP calling parameters. Further, we performed association study on the cohort, and the highly significant (0.001) associations were short-listed and investigated in-depth. Out of the 171 significant SNPs, 113 were previously unreported. Interestingly, six among them were non-synonymous coding (NSC) SNPs, which includes CPPED1 A>G (p.M307V), PITRM1 T>G (p.S715A), APP G>A (p.T266M), RNF213 A>G (p.V1482A), C>A (p.V1456L), and SLC46A3 G>A (p.R168Q). On the other hand, 35 out of 113 unreported SNPs were falling in regulatory regions such as 3'-UTR, 5'-UTR, etc. In-depth bioinformatics analysis revealed that majority of NSC SNPs have damaging effect and alter protein stability. This study highlighted the genetic markers associated with PRA, which will help to develop genetic assay-based screening in effective breeding.

Microbial profiles of liquid and solid fraction associated biomaterial in buffalo rumen fed green and dry roughage diets by tagged 16S rRNA gene pyrosequencing.

The microbiome of buffalo rumen plays an important role in animal health and productivity. The rumen bacterial composition of both liquid and solid fraction was surveyed using pyrosequencing of the 16S rRNA gene. Sequences were analyzed using taxonomy-dependent clustering methods and revealed that the dominant ruminal bacteria shared by samples belonged to phyla Bacteroidetes, Firmicutes, Fibrobacteres and Proteobacteria. The core rumen microbiome of the rumen consisted of 10 phyla, 19 classes, 22 orders and 25 families. However, the relative abundance of these bacterial groups was markedly affected by diet composition as well as in type of biomaterial. In animals fed with a green and dry roughage diet, the cellulolytic bacteria, Ruminococcaceae, and Fibrobacteraceae was found in highest abundance in all biomaterials which reflected the need for enhanced fiber-digesting capacity in buffalo. The polysaccharide-degrading Prevotellaceae bacteria were most abundant in buffalo rumen. In taxonomic comparison of rumen bacteria, about 26 genera were differentially abundant among liquid and solid fraction of ruminal fluid. These results highlight the buffalo ruminal microbiome's ability to adapt to feed with different composition.

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.

Characterization of the rumen microbiome of Indian Kankrej cattle (Bos indicus) adapted to different forage diet.

Present study described rumen microbiome of Indian cattle (Kankrej breed) to better understand the microbial diversity and largely unknown functional capacity of the rumen microbiome under different dietary treatments. Kankrej cattle were gradually adapted to a high-forage diet (four animals with dry forage and four with green forage) containing 50 % (K1), 75 % (K2) to 100 % (K3) forage, and remaining concentrate diet, each for 6 weeks followed by analysis of rumen fiber adherent and fiber-free metagenomic community by shotgun sequencing using ion torrent PGM platform and EBI-metagenomics annotation pipeline. Taxonomic analysis indicated that rumen microbiome was dominated by Bacteroidetes followed by Firmicutes, Fibrobacter, Proteobacteria, and Tenericutes. Functional analysis based on gene ontology classified all reads in total 157 categories based on their functional role in biological, molecular, and cellular component with abundance of genes associated with hydrolase activity, membrane, transport, transferase, and different metabolism (such as carbohydrate and protein). Statistical analysis using STAMP revealed significant differences (P < 0.05) between solid and liquid fraction of rumen (in 65 categories), between all three treatments (in 56 categories), and between green and dry roughage (17 categories). Diet treatment also exerted significant difference in environmental gene tags (EGTs) involved in metabolic pathways for production of volatile fatty acids. EGTs for butyrate production were abundant in K2, whereas EGTs for propionate production was abundant during K1. Principal component analysis also demonstrated that diet proportion, fraction of rumen, and type of forage affected rumen microbiome at taxonomic as well as functional level.

Metagenome of Mehsani buffalo rumen microbiota: an assessment of variation in feed-dependent phylogenetic and functional classification.

AIM: To gain a greater understanding of the ecology and metabolic potential of the rumen microbiome with the changes in the animal diet. METHODS: Diet composed of varying proportion of green and dry roughages along with grains was given to 8 Mehsani buffaloes, and rumen metagenome was sketched using shotgun semiconductor sequencing. RESULTS: In the present study, the Bacteroidetes were found to be dominant at the phyla level and Prevotella at the genus level. The ratio of Firmicutes to Bacteroidetes was found to be higher in the solid fraction as compared to the liquid fraction. In the solid fraction of the dry roughage group, the significant increment (p < 0.05) in Bacteroidetes abundance was observed with increment of roughage concentration. At the genus level, Clostridium significantly increased with the increment in roughage concentration. A comparison of glycoside hydrolase and cellulosome functional genes revealed more glycoside hydrolase 3 encoding genes with higher fiber diet and significant difference in carbohydrate-active enzymes family composition between green and dry roughage groups of the liquid fraction. CONCLUSION: The present study provides a base to understand the modulating behavior of microbiota which can be manipulated to improve livestock nutrient utilization efficiency and for targeting the efficient catabolism of complex carbohydrate molecules as well.