RESUMEN
Leptospirosis is a potentially fatal zoo-anthroponosis caused by pathogenic species of Leptospira belonging to the family of Leptospiraceae, with a worldwide distribution and effect, in terms of its burden and risk to human health. The 'LeptoDB' is a single window dedicated architecture (5 948 311 entries), modeled using heterogeneous data as a core resource for global Leptospira species. LeptoDB facilitates well-structured knowledge of genomics, proteomics and therapeutic aspects with more than 500 assemblies including 17 complete and 496 draft genomes encoding 1.7 million proteins for 23 Leptospira species with more than 250 serovars comprising pathogenic, intermediate and saprophytic strains. Also, it seeks to be a dynamic compendium for therapeutically essential components such as epitope, primers, CRISPR/Cas9 and putative drug targets. Integration of JBrowse provides elaborated locus centric description of sequence or contig. Jmol for structural visualization of protein structures, MUSCLE for interactive multiple sequence alignment annotation and analysis. The data on genomic islands will definitely provide an understanding of virulence and pathogenicity. Phylogenetics analysis integrated suggests the evolutionary division of strains. Easily accessible on a public web server, we anticipate wide use of this metadata on Leptospira for the development of potential therapeutics.Database URL: http://leptonet.org.in.
Asunto(s)
Proteínas Bacterianas/genética , Bases de Datos de Ácidos Nucleicos , Genoma Bacteriano , Leptospira , Leptospirosis/genética , Proteómica , Navegador Web , Animales , Humanos , Leptospira/genética , Leptospira/patogenicidad , Leptospirosis/diagnóstico , Leptospirosis/terapia , Metadatos , Anotación de Secuencia Molecular , Alineación de SecuenciaRESUMEN
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.
RESUMEN
Study creates a scenario for enrichment and selection of ligno-hemicellulose degrading genotypes with anaerobic bioreactor as a model using rice straw, vegetable waste and food waste as substrates. Relative discrimination analysis showed that the hydrolytic pathways and associated microbial communities for ligno-hemicellulose degradation were dominatingly colonized with rice straw as substrate. The dominating bacteria were Caldicellulosiruptor, Fervidobacterium, Cytophaga, Ruminococcus, Thermotoga associated with hemicellulose degradation and Burkholderia, Pandorea, Sphingomonas, Spirochaeta, Pseudomonas for lignocellulose hydrolysis. This was further supported by the abundance of anaerobic aromatic compound degrading genes along with genes for xylanase and xylosidase in rice straw enriched community. The metagenome analysis data was validated by evaluation of the biochemical methane potential for these substrates. Food waste being most amenable substrate yielded 1410mL of biogas/gVS added whereas, biogas yield of 1160mL/gVS and 1080mL/gVS was observed in presence of vegetable waste and rice straw respectively.