RESUMEN
This study was conducted with a perception that fructose-rich niches may inhabit novel species of lactic acid bacteria that are gaining importance as probiotics and for the production of exopolysaccharides that have applications in food and pharmaceuticals. Recently, some Lactobacillus species have been reclassified as fructophilic lactic acid bacteria due to their preference for fructose over glucose as a carbon source. These bacteria are likely to be found in fructose rich niches such as flower nectar and insects that feed on it. We explored the butterfly gut and acquired a new isolate, designated as F1, of fructophilic lactic acid bacteria, which produces a glucan-type exopolysaccharide. Whole genome sequencing and in silico analysis revealed that F1 has significantly lower average nucleotide identity and DNA-DNA hybridization values as compared to its closest Apilactobacillus neighbors in phylogenetic analysis. Therefore, we declare the isolate F1 as a novel Apilactobacillus species with the proposed name of Apilactobacillus iqraium F1. Genome mining further revealed that F1 harbors genes for exopolysaccharide synthesis and health-promoting attributes. To this end, F1 is the only Apilactobacillus species harboring three diverse α-glucan-synthesis genes that cluster with different types of dextransucrases in the dendrogram. Moreover, many nutritional marker genes, as well as genes for epithelial cell adhesion and antimicrobial synthesis, were also detected suggesting the probiotic attributes of F1. Overall analysis suggests A. iqraium sp. F1 be a potential candidate for various health beneficial and pharmaceutical applications.
Asunto(s)
Mariposas Diurnas , Lactobacillales , Probióticos , Animales , Mariposas Diurnas/genética , Mariposas Diurnas/metabolismo , Filogenia , Lactobacillales/genética , Fructosa/metabolismo , Probióticos/metabolismo , Glucanos/metabolismo , ADNRESUMEN
Microbial exopolysaccharides (EPSs), having great structural diversity, have gained tremendous interest for their prebiotic effects. In the present study, mice models were used to investigate if microbial dextran and inulin-type EPSs could also play role in the modulation of microbiomics and metabolomics by improving certain biochemical parameters, such as blood cholesterol and glucose levels and weight gain. Feeding the mice for 21 days on EPS-supplemented feed resulted in only 7.6 ± 0.8% weight gain in the inulin-fed mice group, while the dextran-fed group also showed a low weight gain trend as compared to the control group. Blood glucose levels of the dextran- and inulin-fed groups did not change significantly in comparison with the control where it increased by 22 ± 5%. Moreover, the dextran and inulin exerted pronounced hypocholesterolemic effects by reducing the serum cholesterol levels by 23% and 13%, respectively. The control group was found to be mainly populated with Enterococcus faecalis, Staphylococcus gallinarum, Mammaliicoccus lentus and Klebsiella aerogenes. The colonization of E. faecalis was inhibited by 59-65% while the intestinal release of Escherichia fergusonii was increased by 85-95% in the EPS-supplemented groups, respectively, along with the complete inhibition of growth of other enteropathogens. Additionally, higher populations of lactic acid bacteria were detected in the intestine of EPS-fed mice as compared to controls.
Asunto(s)
Microbioma Gastrointestinal , Trastornos del Metabolismo de los Lípidos , Ratones , Animales , Inulina/farmacología , Dextranos/farmacología , Ratones Endogámicos BALB C , Suplementos Dietéticos , Prebióticos , Aumento de Peso , Colesterol/farmacologíaRESUMEN
Development of natural, broad-spectrum, and eco-friendly bio-fungicides is of high interest in the agriculture and food industries. In this context, Bacillus genus has shown great potential for producing a wide range of antimicrobial metabolites against various pathogens. A Bacillus velezensis strain FB2 was isolated from an agricultural field of National Institute for Biotechnology and Genetic Engineering (NIBGE) Faisalabad, Pakistan, exhibiting good antifungal properties. The complete genome of this strain was sequenced, and its antifungal potential was assayed by dual culture method. Moreover, structural characterization of its antifungal metabolites, produced in vitro, were studied. Genome analysis and mining revealed the secondary metabolite gene clusters, encoding non-ribosomal peptides (NRPs) production (e.g., surfactin, iturin and fengycin) and polyketide (PK) synthesis (e.g., difficidin, bacillaene and macrolactin). Furthermore, the Bacillus velezensis FB2 strain was observed to possess in vitro antifungal activity; 41.64, 40.38 and 26% growth inhibition against major fungal pathogens i.e. Alternaria alternata, Fusarium oxysporum and Fusarium solani respectively. Its lipopeptide extract obtained by acid precipitation method was also found effective against the above-mentioned fungal pathogens. The ESI-MS/MS analysis indicated various homologs of surfactin and iturin-A, responsible for their antifungal activities. Overall, this study provides a better understanding of Bacillus velezensis FB2, as a promising candidate for biocontrol purposes, acting in a safe and sustainable way, to control plant pathogens.
Asunto(s)
Antiinfecciosos , Bacillus , Antifúngicos/química , Espectrometría de Masas en Tándem , Bacillus/metabolismo , Antiinfecciosos/farmacología , Antiinfecciosos/metabolismo , Genómica , Inocuidad de los Alimentos , AgriculturaRESUMEN
In this study, Raman spectroscopy is employed for the characterization and comparison of two different classes of exo-polysaccharides including glucans and fructans which are produced by different bacteria. For this purpose, nine samples are used including five samples of glucans and four of fructans. Raman spectral results of all these polysaccharides show clear differences among various glucans as well as fructans showing the potential of this technique to identify the differences within the same class of the compounds. Moreover, these two classes are also compared on the basis of their Raman spectral data and can be differentiated on the basis of their unique Raman features. Multivariate data analysis techniques, Principle Component Analysis (PCA) is found very helpful for the comparison of the Raman spectral data of these classes of the carbohydrates.