3 resultados para gene sequence

em WestminsterResearch - UK


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A recent study characterizing bacteriophage populations within human caecal effluent demonstrated the presence of numerous Podoviridae, Siphoviridae and Myoviridae within this material (Hoyles et al., 2014, Res Microbiol 165, 803–812). Further to this work, anaerobic bacteria were isolated on fastidious anaerobe agar from the caecal effluent of a healthy 31-year-old woman. Ten colonies were selected at random, streaked to purity and screened against the remaining caecal effluent (filter-sterilized, 0.45 μm pore size) in an attempt to isolate lytic bacteriophages. Bacteriophages within the effluent [2×105 ± 2.65×103 (n=3) pfu/ml] were active against five of the isolates, all identified by 16S rRNA gene sequence analysis as Klebsiella pneumoniae. One of the five isolates, L4-FAA5, was characterized further and found to be K. pneumoniae subsp. pneumoniae capsule type K2 rmpA+, and was used to propagate a bacteriophage (which we named KLPN1) to purity. Bacteriophage KLPN1 was a member of the Siphoviridae with a rosette-like tail tip and exhibited depolymerase activity, demonstrated by the formation of plaque-surrounding haloes that increased in size over the course of incubation. When screened against a panel of 21 clinical strains representing unknown K. pneumoniae subsp. pneumoniae capsule types and types K1, K2, K5, K20, K54 and K57, KLPN1 infected only K2 strains, but did not exhibit depolymerase activity against these. Whole-genome sequence analysis of KLPN1 showed the bacteriophage to have a genome of 49,037 bp (50.53 GC mol%) comprising 73 predicted ORFs, of which 22 encoded genes associated with structure, host recognition, packaging, DNA replication and cell lysis. The host recognition-associated gene was a potential depolymerase. This is the first report of the isolation of a bacterium–bacteriophage combination from the human caecum, and only the third member of the Siphoviridae known to infect K. pneumoniae subsp. pneumoniae.

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Three human clinical strains (W9323T , X0209T and X0394) isolated from lung biopsy, blood and cerebral spinal fluid, respectively, were characterized using a polyphasic taxonomic approach. Comparative analysis of the 16S rRNA gene sequences showed the three strains belonged to two novel branches within the genus Kroppenstedtia : 16S rRNA gene sequence analysis of W9323T showed closest sequence similarity to Kroppenstedtia eburnea JFMB- ATET (95.3 %), Kroppenstedtia guangzhouensis GD02T (94.7 %) and strain X0209T (94.6 %); sequence analysis of strain X0209T showed closest sequence similarity to K . eburnea JFMB- ATET (96.4 %) and K. guangzhouensis GD02T (96.0 %). Strains X0209T and X0394 were 99.9 % similar to each other by 16S rRNA gene sequence analysis. The DNA- DNA relatedness was 94.6 %, confirming that X0209T and X0394 belong to the same species. Chemotaxonomic data for strains W9323T and X0209T were consistent with those described for the genus Kroppenstedtia : whole- cell peptidoglycan contained LL- diaminopimelic acid; the major cellular fatty acids were iso- C15 and anteiso- C15 ; and the major menaquinone was MK- 7. Different endospore morphology, carbon utilization profiles, and whole cell wall sugar patterns of strains W9323T and X0209T supported by phylogenetic analysis enabled us to conclude that the strains represent two new species within the genus Kroppenstedtia , for which the names Kroppenstedtia pulmonis sp. nov. (type strain W9323T = DSM 45752T = CCUG 68107T) and Kroppenstedtia sanguinis sp. nov. (type strain X0209T = DSM 45749T = CCUG 38657T) are proposed.

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We have developed an in-house pipeline for the processing and analyses of sequence data generated during Illumina technology-based metagenomic studies of the human gut microbiota. Each component of the pipeline has been selected following comparative analysis of available tools; however, the modular nature of software facilitates replacement of any individual component with an alternative should a better tool become available in due course. The pipeline consists of quality analysis and trimming followed by taxonomic filtering of sequence data allowing reads associated with samples to be binned according to whether they represent human, prokaryotic (bacterial/archaeal), viral, parasite, fungal or plant DNA. Viral, parasite, fungal and plant DNA can be assigned to species level on a presence/absence basis, allowing – for example – identification of dietary intake of plant-based foodstuffs and their derivatives. Prokaryotic DNA is subject to taxonomic and functional analyses, with assignment to taxonomic hierarchies (kingdom, class, order, family, genus, species, strain/subspecies) and abundance determination. After de novo assembly of sequence reads, genes within samples are predicted and used to build a non-redundant catalogue of genes. From this catalogue, per-sample gene abundance can be determined after normalization of data based on gene length. Functional annotation of genes is achieved through mapping of gene clusters against KEGG proteins, and InterProScan. The pipeline is undergoing validation using the human faecal metagenomic data of Qin et al. (2014, Nature 513, 59–64). Outputs from the pipeline allow development of tools for the integration of metagenomic and metabolomic data, moving metagenomic studies beyond determination of gene richness and representation towards microbial-metabolite mapping. There is scope to improve the outputs from viral, parasite, fungal and plant DNA analyses, depending on the depth of sequencing associated with samples. The pipeline can easily be adapted for the analyses of environmental and non-human animal samples, and for use with data generated via non-Illumina sequencing platforms.