Streptococcus lactarius MB622 and Streptococcus salivarius MB620 isolated from human milk reduce chemokine IL-8 production in response to TNF-α in Caco-2 cell line, an exploratory study.

Streptococci are a predominant genera of the human milk microbiome. Among different lactic acid bacteria (LAB) a few Streptococcal strains are also considered as probiotics. Probiotic bacteria are reported to modulate immunity when consumed in adequate amount and bacterial hydrophobicity can be considered as a preliminary experiment for the adhesive capability of probiotic bacteria to the epithelial cells. The present study aimed to investigate the probiotic, hydrophobic and immune modulation property of Streptococcus lactarius MB622 and Streptococcus salivarius MB620, isolated from human milk. S. lactarius MB622 and S. salivarius MB620 displayed higher hydrophobicity (78 % and 59 % respectively) in addition to intrinsic probiotic properties such as gram positive classification, catalase negative activity, resistance to artificially stimulated gastric juice and gastrointestinal bile salt concentration. In conclusion Streptococcus lactarius MB622 and Streptococcus salivarius MB620 isolated from human milk when administered in sufficient amount and for certain duration could be used to reduce inflammation inside the colon by reducing the production of inflammatory booster (IL-8) in diseased state.

Leveraging molecular docking to understand Congo red degradation by Staphylococcus caprae MB400.

Congo red (CR) is a genotoxic, sulphonated azo dye and poses significant pollution problem. We hereby report its degradation by Staphylococcus caprae MB400. The bacterium initially propagated as a suspected contaminant upon CR dye supplemented nutrient agar plates, forming zones of clearance around its growth area. The bacterium was purified, gram stained and identified as Staphylococcus caprae via 16S rRNA gene sequencing. Dye decolourization was analysed in liquid culture, and Fourier-transform infrared spectroscopy (FTIR) was conducted for analysis of degraded product/metabolites. A decolourization of ~ 96.0% at 100 µg/ml concentration and pH 7 after 24 h of incubation was observed. Structure of the azoreductase enzyme, responsible for breakage of the bond in the dye and ultimately decolourization, was predicted, and molecular docking was harnessed for understanding the mechanism behind the reduction of azo bond (-N=N-) and conversion to metabolites. Our analysis revealed 12 residues critical for structural interaction of the azoreductase enzyme with this dye. Among these, protein backbone region surrounding four residues, i.e. Lys65, Phe122, Ile166 and Phe169, showed major displacement changes, upon binding with the dye. However, overall the conformational changes were not large.

Functionalization of ampicillin and gentamicin with biogenic copper nanoparticles (CuNPs) remodel antimicrobial and cytotoxic outcome against MDR clinical isolates.

The present study reports the functionalization of antibiotic-conjugated Alternanthera pungens and Trichodesma indicum copper nanoparticles (CuNPs). Initially, antibiotic profiling of multi-drug resistant (MDR) clinical isolates against five antibiotics was verified and then gentamicin and ampicillin conjugates of CuNPs were prepared. Biosynthesized nanostructures were characterized through UV-visible spectroscopy, Fourier-transformed infrared spectroscopy, X-ray diffraction and scanning electron microscope. Biogenic synthesized CuNPs displayed highest antibacterial activity (24.0-31.3 mm inhibition zones) when capped with gentamicin as compared to the ampicillin-conjugated NPs which showed resistance against most of the bacterial species. A. pungens-derived conjugates of gentamicin (CuAp-GNT) along with the vehicle revealed 4.86 ± 0.20% and 4.25 ± 2.96% hemolytic potential and highest MDA production in S. typhimurium (3.18 ± 1.52 µg/mL and 6.31 ± 3.49 µg/mL) and K. pneumoniae (2.99 ± 0.90 µg/mL and 4.06 ± 1.20 µg/mL). Similarly, CuAp-GNT also showed highest DNA protection ability by displaying 1342.99 ± 11.87 band intensity. All-inclusive, CuAp showed more promising effects when conjugated with gentamicin indicating that capping of gentamicin with the active components of the plant-based copper nanostructures increases the antibacterial capacity of the drug. Hence, conjugation of antibiotics with bio-based sources offers great potential for identifying potent drug leads.

Pan-genomics, drug candidate mining and ADMET profiling of natural product inhibitors screened against Yersinia pseudotuberculosis.

Yersinia pseudotuberculosis belongs to the family Enterobacteriaceae and is responsible for scarlatinoid fever, food poisoning, post-infectious complications like erythema nodosum/reactive arthritis as well as pseudoappendicitis in children. Genome sequences of the 23 whole genomes from NCBI were utilized for conducting the pan-genomic analysis. Essential proteins from the core region were obtained and drug targets were identified using a hierarchal in silico approach. Among these, multidrug resistance protein sub-unit mdtC was chosen for further analysis. This protein unit confers resistance to antibiotics upon forming a tripartite complex with units A and B in Escherichia coli. Details of the function have not yet been elucidated experimentally in Yersinia spp. Computational structure modeling and validation were followed by screening against phytochemical libraries of traditional Indian (Ayurveda), North African, and traditional Chinese flora using Molecular Operating Environment software version 2019.0102. ADMET profiling and descriptor study of best docked compounds was studied. Since phytotherapy is the best resort to antibiotic resistance so these compounds should be tested experimentally to further validate the results. The obtained information could aid wet-lab scientists to work on the scaffold of screened drug-like compounds from natural resources. This could be useful in our quest for antibiotic-resistant therapy against Y. pseudotuberculosis.

Biotransformation of dimethoate into novel metabolites by bacterial isolate Pseudomonas kilonensis MB490.

Bacterial strain (Pseudomonas kilonensis MB490) isolated from agricultural fields of Mianwali, was selected to check its potential to degrade Organophosphate insecticide dimethoate (DM). Strain MB490 was able to degrade dimethoate equally well at given pH range (6.0, 7.0 and 8.0), thus showing its pH independence for dimethoate degradation. Optimum temperature for dimethoate degradation varied from 25-30 °C. There was more dimethoate degradation under shaking conditions with optimum growth. Strain MB490 showed 90% dimethoate degradation in M-9 broth and 90.6% in soil slurry, while exhibited 81.5% dimethoate degradation in soil microcosm within 9 days, based on HPLC analysis of bacterial samples supplemented with 200 mg/L dimethoate. The average half-life (t 1/2) of dimethoate after bacterial degradation ranged from 1.95 days in 1st phase to 5 days in 2nd phase in M-9 broth, soil slurry and soil microcosm, while in control media without bacteria, it ranged from 30 to 64.3 days. GCMS investigation revealed the transformation of dimethoate into 5 metabolic products namely Methyl diethanol amine, Aspartylglycine ethyl ester, Phosphonothioic acid propyl-O, S-dimethyl ester, O, O, O-Trimethyl thiophosphate and omethoate which were ultimately mineralized by the strain MB490, providing energy for its growth.

Genome sequence analysis and bioactivity profiling of marine-derived actinobacteria, Brevibacterium luteolum, and Cellulosimicrobium funkei.

Genome analysis gives important insights into the biosynthetic potential of marine actinobacteria. The genomes of two marine actinomycetes Brevibacterium luteolum MOSEL-ME10a and Cellulosimicrobium funkei MOSEL-ME6 were sequenced to identify the biosynthetic gene clusters (BGCs). Additionally, anti-proliferative, antioxidant, and enzyme inhibitory activities were studied in vitro. We report a total genome size of 2.77 Mb with GC content of 67.8% and 6.81 Mb with GC content of 69% for Brevibacterium sp. MOSEL-ME10a and Cellulosimicrobium sp. MOSEL-ME6, respectively. Biosynthetic gene clusters (BGCs) encoding different classes of natural products were predicted including terpenes, peptides, siderophores, ectoines, and bacteriocins. The bioactivity potential of crude extracts derived from these strains was evaluated. Notable anti-proliferative activity was observed against HepG2 cell line (hepatocellular carcinoma) with an IC50 value of 182 µg/mL for Brevibacterium sp. MOSEL-ME10a. Furthermore, antioxidant activity was assessed with IC50 values of 48.91 µg/mL and 102.5 µg/mL for Brevibacterium sp. MOSEL-ME10a and Cellulosimicrobium sp. MOSEL-ME6, respectively. Protein kinase inhibition potential was observed only for Brevibacterium sp. MOSEL-ME10a. Our study also reports lower amylase enzyme inhibition potential for both strains. Moreover, both crude extracts showed only slight-to-no toxic effect on erythrocytes at 400 µg/mL and below, indicating erythrocyte membrane stability. Our data present the genomic features revealing biosynthetic potential of marine actinobacteria as well as biological activities found in vitro.

An Overview of Algorithms and Associated Applications for Single Cell RNA-Seq Data Imputation.

Single cell RNA-Seq technology enables the assessment of RNA expression in individual cells. This makes it popular in experimental biology for gleaning specifications of novel cell types as well as inferring heterogeneity. Experimental data conventionally contains zero counts or dropout events for many single cell transcripts. Such missing data hampers the accurate analysis using standard workflows, designed for massive RNA-Seq datasets. Imputation for single cell datasets is done to infer the missing values. This was traditionally done with ad-hoc code but later customized pipelines, workflows and specialized software appeared for this purpose. This made it easy to benchmark and cluster things in an organized manner. In this review, we have assembled a catalog of available RNA-Seq single cell imputation algorithms/workflows and associated softwares for the scientific community performing single-cell RNA-Seq data analysis. Continued development of imputation methods, especially using deep learning approaches, would be necessary for eradicating associated pitfalls and addressing challenges associated with future large scale and heterogeneous datasets.

Novel degradation pathways for Chlorpyrifos and 3, 5, 6-Trichloro-2-pyridinol degradation by bacterial strain Bacillus thuringiensis MB497 isolated from agricultural fields of Mianwali, Pakistan.

Over use of organophosphate pesticides including Chlorpyrifos (CPF) has led to contamination of soil and water resources, resulting in serious health problems in humans along with other non-target organisms. The current study was aimed to investigate Chlorpyrifos as well as 3, 5, 6-Trichloro-2-pyridinol (TCP) biodegradation tendency of bacterial strain Bacillus thuringiensis MB497 isolated from wheat/cotton fields of Dera Saleemabad, Mianwali, Pakistan, having a history of heavy Organophosphate pesticides application. HPLC analysis revealed almost 99% degradation of the spiked CPF (200 mg L-1) in M-9 broth, soil slurry and soil microcosm by MB497 after 9 days of incubation. Strain MB497 was also able to degrade and transform TCP (28 mg L-1), up to 90.57% after 72 h of incubation in M-9 broth. A novel compound Di-isopropyl methanephosphonate along with known products of 3, 5, 6-Trichloro-2-pyridinol (TCP), Diethyl thiophospsphate and Phosphorothioic acid were detected as metabolites of CPF by GCMS analysis. Three novel metabolites of TCP (p-Propyl phenol, 2-Ethoxy-4, 4, 5, 5-tetramethyloxazoline and 3-(2, 4, 5-Trichlorophenoxy)-1-propyne) were identified after 72 h. Based on these metabolites, new/amended metabolic pathways for CPF and TCP degradation in these bacteria has been suggested.

Bioaccumulation of lead, chromium, and nickel by bacteria from three different genera isolated from industrial effluent.

The potential of indigenous bacterial strains to accumulate three metals (Cr, Ni, Pb) was exploited here to remediate the polluted environment. In the present study, metal resistance profiles identified three most potential isolates which could tolerate 700-1000 µg/ml of Ni, 500-1000 µg/ml of Cr, and 1000-1600 µg/ml of Pb. These three bacterial strains were identified as Stenotrophomonas sp. MB339, Klebsiella pneumoniae MB361, and Staphylococcus sp. MB371. UV-Visible and atomic absorption spectrophotometric (AAS) analysis revealed gradual increase in percentage accumulation with increase in time due to increased biomass. Quantitative assessments exhibited maximum removal of Cr (83.51%) by Klebsiella pneumoniae MB361, Pb (85.30%), and Ni (48.78%) by Stenotrophomonas MB339, at neutral pH and 37 °C, whereas Staphylococcus sp. MB371 sorbed 88.33% of Pb at slightly acidic pH. The present study therefore supports the effective utilization of indigenous bacteria for comprehensive treatment of metal-rich industrial effluents.

Novel metabolites of triazophos formed during degradation by bacterial strains Pseudomonas kilonensis MB490, Pseudomonas kilonensis MB498 and pseudomonas sp. MB504 isolated from cotton fields.

In the current scenario of overuse of pesticides (resulting in soil and water pollution and ultimately leading to biomagnification), a research project was carried out to study biodegradation of Triazophos. For this purpose, three bacterial strains (Pseudomonas kilonensis MB490, Pseudomonas kilonensis MB498 and Pseudomonas sp. MB504), isolated from cotton fields of Mianwali, Pakistan were investigated for Triazophos degradation and metabolite formation in M-9 broth, soil slurry and soil microcosm after incubation for 9 days. There was 88.4-95.8% Triazophos degradation in M-9 broth, 99.90% degradation in soil slurry and 92.74 to 96% Triazophos degradation in soil microcosm by these bacteria after 9 days. While there was negligible Triazophos degradation (upto 7%) in the controls without bacteria. According to GCMS analysis, 7 unique and novel metabolites (1, 2, 4-Triazole-4-amine, N-(2-Thienylmethyl), Benzene sulfonic acid hydrazide, Benzene sulfonic acid methyl ester, 4H-1,2,4-Triazole-4-benzenesulfonamide, 4, 5 dihydro-N-(O-toyl)-3-furamide, Ethyl 4-phenyldiazenylbenzoate and Dibutyl methanephosphonate) of Triazophos were revealed. Current results strongly suggest the potential of these bacterial strains for the remediation of Triazophos contaminated agricultural soils.

Production, characterization and antimicrobial activities of bio-pigments by Aquisalibacillus elongatus MB592, Salinicoccus sesuvii MB597, and Halomonas aquamarina MB598 isolated from Khewra Salt Range, Pakistan.

Hypersaline ecosystems offer unique habitats to microbial populations capable of withstanding extreme stress conditions and producing novel metabolites of commercial importance. Herein, we have characterized for the first time the production of bioactive pigments from newly isolated halophilic bacterial species. Halophilic bacteria were isolated from Khewra Salt Range of Pakistan. Three distinctly colored isolates were selected for pigment production. Selected colonies were identified as Aquisalibacillus elongatus MB592, Salinicoccus sesuvii MB597, and Halomonas aquamarina MB598 based on morphological, biochemical, and physiological evidences as well as 16S rRNA analysis. The optimum pigment production observed at mesophilic condition, nearly neutral pH, and moderate salinity was validated using response surface methodology. Different analytical techniques (UV spectroscopy, infrared spectroscopy, and HPLC) characterized these purified pigments as derivatives of bacterioruberin carotenoids. Antioxidant activity of pigments revealed up to 85% free-radical scavenging activity at the concentration of 30 µg ml-1. Pigments also showed significant antimicrobial activity against Bacillus subtilis, Bacillus pumilus, Enterococcus faecalis, Bacillus cereus, Klebsiella pneumoniae, Alcaligenes faecalis, Pseudomonas geniculata, Enterococcus faecium, Aspergillus fumigatus, Aspergillus flavus, Fusarium solani, and Mucor spp., suggesting potential biomedical applications.

Biological screening of three selected folklore medicinal plants from Pakistan.

This study investigates the pharmacological potential of Adiantum incisum, Alternanthera pungens and Trichodesma indicum. Biological activities of plant extracts (aqueous, methanolic and n-hexane extracts of whole plants) were screened by antitumor potato disc assay (10000, 1000, 100, 10 ppm doses), antifungal tube dilution assay (50, 25, 12.5, 6.25mg/ml) and antioxidant DPPH/reducing power assays (250, 200, 150, 100, 50µg/ml). Significant amount of alkaloids (230.83±30.20mg/g) in Adiantum incisum with lowest amount of phenolics in Alternanthera pungens (43.45 ±14.22µg/mg) were detected. Significant antitumor potential (p<0.05) was revealed by Trichodesma indicum n-hexane extract (85% tumor inhibition; IC50 <10ppm). Moderate to significant antifungal activity (50.73%-78.3%) was shown against Aspergillus niger by Adiantum incisum extracts. Hexane extract of Trichodesma indicum revealed significant antifungal activity (98.9% inhibition) against Mucor specie. Methanolic extracts of all plants displayed significant DPPH radical scavenging potential (96.72%-60.33%; IC50 <50µg/ml) and Ferric power reducing ability with absorbance values (0.164-0.942) very close to standard ascorbic acid. Present study supports the extensive use of these plants in folk medicine and also promotes elaborative in-vivo investigations, isolation of pure therapeutic compounds and formulation of plant-based drugs.

Genome of Serratia nematodiphila MB307 offers unique insights into its diverse traits.

A pigment-producing species of Serratia was isolated from the rhizosphere of a heavy metal resistant Cannabis sativa plant growing in effluent-affected soil of Hattar Industrial Estate, Haripur, Pakistan. Here, we report the genome sequence of this bacterium, which has been identified as Serratia nematodiphila on the basis of whole genome comparison using the OrthoANI classification scheme. The bacterium exhibited diverse traits, including plant growth promotion, antimicrobial, bioremediation, and pollutant tolerance capabilities including metal tolerance, azo dye degradation, ibuprofen degradation, etc. Plant growth-promoting exoenzyme production as well as phosphate solubilisation properties were observed. Genes for phosphate solubilisation, siderophore production, and chitin destruction were identified in addition to other industrially important enzymes like nitrilase and lipase. Secondary metabolite producing apparatus for high value chemicals in the whole genome was also analysed. The number of antibiotic resistance genes was then profiled in silico, through a match with Antibiotic Resistant Gene and CAR database. This is the first report of a S. nematodiphila genome from a polluted environment. This could significantly contribute to the understanding of pollution tolerance, antibiotic resistance, association with nematodes, production of bio-pesticide, and their role in plant growth promotion.

Essential Gene Clusters Identified in Stenotrophomonas MB339 for Multiple Metal/Antibiotic Resistance and Xenobiotic Degradation.

Stenotrophomonas MB339, a bacterium, which could potentially utilize aromatic compounds and tolerate different heavy metals was isolated from industrial wastewater. Subsequent experiments revealed strains ability to resist antibiotics ofloxacin, streptomycin, rifampicillin, erythromycin, ampicillin, clindamycin, and toxicants including As2+, Hg2+, Cu2+, Ni2+, Pb2+. The shotgun sequencing strategy, genome assembly and annotation uncovered specific features, which make this strain MB339 effectively promising to cope with highly contaminated conditions. This report presents isolate's assembled genome and its functional annotation identifying a set of protein coding genes (4711), tRNA (69 genes), and rRNA (9 genes). More than 2900 genes were assigned to various Clusters of Orthologous Groups (COGs) and 1114 genes attributed to 37 different Koyoto Encyclopedia of Genes and Genomes (KEGGs) pathways. Among these annotated genes, eighteen were for key enzymes taking part in xenobiotic degradation. Furthermore, 149 genes have been assigned to virulence, disease, and defense mechanisms responsible for multidrug and metal resistance including mercury, copper, and arsenic operons. These determinants comprised genes for membrane proteins, efflux pumps, and metal reductases, suggesting its potential applications in bioremediation.

Antibacterial evaluation of silver nanoparticles synthesized from lychee peel: individual versus antibiotic conjugated effects.

This paper describes the extracellular synthesis of silver nanoparticles from waste part of lychee fruit (peel) and their conjugation with selected antibiotics (amoxicillin, cefixim, and streptomycin). FTIR studies revealed the reduction of metallic silver and stabilization of silver nanoparticles and their conjugates due to the presence of CO (carboxyl), OH (hydroxyl) and CH (alkanes) groups. The size of conjugated nanoparticles varied ranging from 3 to 10 nm as shown by XRD. TEM image revealed the spherical shape of biosynthesized silver nanoparticles. Conjugates of amoxicillin and cefixim showed highest antibacterial activity (147.43 and 107.95%, respectively) against Gram-negative bacteria i.e. Alcaligenes faecalis in comparison with their control counterparts. The highest reduction in MIC was noted against Gram-positive strains i.e. Enterococcus faecium (75%) and Microbacterium oxydans (75%) for amoxicillin conjugates. Anova two factor followed by two-tailed t test showed non-significant results both in case of cell leakage and protein estimation between nanoparticles and conjugates of amoxicillin, cefixime and streptomycin. In case of MDA release, non-significant difference among the test samples against the selected strains. Our study found green-synthesized silver nanoparticles as effective antibacterial bullet against both Gram positive and Gram negative bacteria, but they showed a more promising effect on conjugation with selected antibiotics against Gram negative type.

Prediction of post translation modifications at the contact site between Anaplasma phagocytophilum and human host during autophagosome induction using a bioinformatic approach.

Autophagy is crucial for maintaining physiological homeostasis, but its role in infectious diseases is not yet adequately understood. The binding of Anaplasma translocated substrate-1 (ATS1) to the human Beclin1 (BECN1) protein is responsible for the modulation of autophagy pathway. ATS1-BECN1 is a novel type of interaction that facilitates Anaplasma phagocytophilum proliferation, leading to intracellular infection via autophagosome induction and segregation from the lysosome. Currently, there is no report of post translational modifications (PTMs) of BECN1 or cross-talk required for ATS-BECN1 complex formation. Prediction/modeling of the cross-talk between phosphorylation and other PTMs (O-ß-glycosylation, sumoylation, methylation and palmitoylation) has been attempted in this study, which might be responsible for regulating function after the interaction of ATS1 with BECN1. PTMs were predicted computationally and mapped onto the interface of the docked ATS1-BECN1 complex. Results show that BECN1 phosphorylation at five residues (Thr91, Ser93, Ser96, Thr141 and Ser234), the interplay with O-ß-glycosylation at three sites (Thr91, Ser93 and Ser96) with ATS1 may be crucial for attachment and, hence, infection. No other PTM site at the BECN1 interface was predicted to associate with ATS1. These findings may have significant clinical implications for understanding the etiology of Anaplasma infection and for therapeutic studies.

Arsenic and fluoride removal by potato peel and rice husk (PPRH) ash in aqueous environments.

Finding appropriate adsorbent may improve the quality of drinking water in those regions where arsenic (As) and fluoride (F-) are present in geological formations. In this study, we evaluated the efficiency of potato peel and rice husk ash (PPRH-ash)-derived adsorbent for the removal of As and F from contaminated water. Evaluation was done in batch adsorption experiments, and the effect of pH, initial adsorbate concentration, contact time, and adsorbent dose were studied. Characteristics of adsorbents were analyzed using scanning electron micropcope (SEM) and Fourier transform infrared (FTIR) spectroscopy. Both the Langmuir and Freundlich isotherm models fitted well for F- and As sorption process. The maximum adsorption capacity of adsorbent for As and F- was 2.17 µg g-1 and 2.91 mg g-1, respectively. The As and Fi removal was observed between pH 7 and 9. The sorption process was well explained with pseudo-second order kinetic model. Arsenic adsorption was not decreased in the presence of carbonate and sulfate. Results from this study demonstrated potential utility of this agricultural biowaste, which could be developed into a viable filtration technology for As and F- removal in As- and F-contaminated water streams.

Assessment of soil quality parameters using multivariate analysis in the Rawal Lake watershed.

Soil providing a wide array of ecosystem services is subjected to quality deterioration due to natural and anthropogenic factors. Most of the soils in Pakistan have poor status of available plant nutrients and cannot support optimum levels of crop productivity. The present study statistically analyzed ten soil quality parameters in five subwatersheds (Bari Imam, Chattar, Rumli, Shahdra, and Shahpur) of the Rawal Lake. Analysis of variance (ANOVA), cluster analysis (CA), and principal component analysis (PCA) were performed to evaluate correlation in soil quality parameters on spatiotemporal and vertical scales. Soil organic matter, electrical conductivity, nitrates, and sulfates were found to be lower than that required for good quality soil. Soil pH showed significant difference (p < 0.05) in mean values at different sampling sites and sampling months indicating that it is affected and determined by land uses and seasons. Pearson correlation revealed a strong positive correlation (r = 0.437) between nitrates and organic matter. Application of principal component analysis resulted in three major factors contributing 76 % of the total variance. For factor 1, temperature, sand, silt, clay, and nitrates had the highest factor loading values (>0.75) and indicated that these were the most influential parameters of first factor or component. Cluster analysis separated five sampling sites into three statistically significant clusters: I (Shahdra-Bari Imam), II (Chattar), and III (Shahpur-Rumli). Among the five sites, Shahdra was found to have good quality soil followed by Bari Imam. The present study illustrated the usefulness of multivariate statistical approaches for the analysis and interpretation of complex datasets to understand variations in soil quality for effective watershed management.

Survey of compound microsatellites in multiple Lactobacillus genomes.

Distinct simple sequence repeats with 2 or more individual microsatellites joined together or lying adjacent to each other are identified as compound microsatellites. Investigation of such composite microsatellites in the genomes of genus Lactobacillus was the aim of this study. In silico inspection of microsatellite clustering in genomes of 14 Lactobacillus species revealed a wealth of compound microsatellites. All of the mined compound microsatellites were imperfect, were composed of variant motifs, and increased in all genomes, with maximum distance (dMAX) increments of 10 to 50. The majority of these repeats were present in the coding regions. A correlation of microsatellite to compound microsatellite density was detected. The difference established in compound microsatellite division among eukaryotes, Escherichia coli, and lactobacilli is suggestive of diverse genomic features and elementary distinction between creation and fixation methods of compound microsatellites among these organisms.

Genetic variations and head and neck cancer risks.

Variations in CYP1A1, GSTM1, GSTT1 and GSTP1 in head and neck cancer have been frequently found in literature. But these studies give an overview of these genetic variations in different populations. The current mini review focus on the analysis of these genetic variations at DNA, mRNA and protein levels in the same study group. Eight publications were reviewed on the same study samples yielding results at DNA, mRNA and protein levels. At DNA level, CYP1A1 showed significantly higher mutations in head and neck cancer patients compared to controls at g.2842A>C and g.2842_2843insT. GSTM1 and GSTT1 showed deletion polymorphisms and heterozygous deletion confers protection against cancer. Mutations were also found in GSTP1 at g.2848A>T, g.2849G>A, g.1074delC and g.1466delC. mRNA and protein expressional analysis revealed underexpression of CYP1A1, loss or underexpression of GSTM1 and GSTT1 and overexpression of GSTP1. In addition an unusual intronic variant of GSTP1 mRNA was also found, retaining the intronic portion between exons. The current review gives a complete study overview regarding CYP1A1, GSTM1, GSTT1 and GSTP1 variations at DNA, mRNA and protein levels in head and neck cancer. The review is helpful in designing a new experiment or gene therapy for head and neck cancer patients.