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      Perchlorate and chlorate reduction by the CrenarchaeonAeropyrum pernixand two thermophilic Firmicutes : Perchlorate reduction by (hyper)thermophiles

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          Ray Meta: scalable de novo metagenome assembly and profiling

          Voluminous parallel sequencing datasets, especially metagenomic experiments, require distributed computing for de novo assembly and taxonomic profiling. Ray Meta is a massively distributed metagenome assembler that is coupled with Ray Communities, which profiles microbiomes based on uniquely-colored k-mers. It can accurately assemble and profile a three billion read metagenomic experiment representing 1,000 bacterial genomes of uneven proportions in 15 hours with 1,024 processor cores, using only 1.5 GB per core. The software will facilitate the processing of large and complex datasets, and will help in generating biological insights for specific environments. Ray Meta is open source and available at http://denovoassembler.sf.net.
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            Analysis of the Plasmodium falciparum proteome by high-accuracy mass spectrometry.

            The annotated genomes of organisms define a 'blueprint' of their possible gene products. Post-genome analyses attempt to confirm and modify the annotation and impose a sense of the spatial, temporal and developmental usage of genetic information by the organism. Here we describe a large-scale, high-accuracy (average deviation less than 0.02 Da at 1,000 Da) mass spectrometric proteome analysis of selected stages of the human malaria parasite Plasmodium falciparum. The analysis revealed 1,289 proteins of which 714 proteins were identified in asexual blood stages, 931 in gametocytes and 645 in gametes. The last two groups provide insights into the biology of the sexual stages of the parasite, and include conserved, stage-specific, secreted and membrane-associated proteins. A subset of these proteins contain domains that indicate a role in cell-cell interactions, and therefore can be evaluated as potential components of a malaria vaccine formulation. We also report a set of peptides with significant matches in the parasite genome but not in the protein set predicted by computational methods.
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              Phylogenetic analysis of nitrite, nitric oxide, and nitrous oxide respiratory enzymes reveal a complex evolutionary history for denitrification.

              Denitrification is a facultative respiratory pathway in which nitrite (NO2(-)), nitric oxide (NO), and nitrous oxide (N2O) are successively reduced to nitrogen gas (N(2)), effectively closing the nitrogen cycle. The ability to denitrify is widely dispersed among prokaryotes, and this polyphyletic distribution has raised the possibility of horizontal gene transfer (HGT) having a substantial role in the evolution of denitrification. Comparisons of 16S rRNA and denitrification gene phylogenies in recent studies support this possibility; however, these results remain speculative as they are based on visual comparisons of phylogenies from partial sequences. We reanalyzed publicly available nirS, nirK, norB, and nosZ partial sequences using Bayesian and maximum likelihood phylogenetic inference. Concomitant analysis of denitrification genes with 16S rRNA sequences from the same organisms showed substantial differences between the trees, which were supported by examining the posterior probability of monophyletic constraints at different taxonomic levels. Although these differences suggest HGT of denitrification genes, the presence of structural variants for nirK, norB, and nosZ makes it difficult to determine HGT from other evolutionary events. Additional analysis using phylogenetic networks and likelihood ratio tests of phylogenies based on full-length sequences retrieved from genomes also revealed significant differences in tree topologies among denitrification and 16S rRNA gene phylogenies, with the exception of the nosZ gene phylogeny within the data set of the nirK-harboring genomes. However, inspection of codon usage and G + C content plots from complete genomes gave no evidence for recent HGT. Instead, the close proximity of denitrification gene copies in the genomes of several denitrifying bacteria suggests duplication. Although HGT cannot be ruled out as a factor in the evolution of denitrification genes, our analysis suggests that other phenomena, such gene duplication/divergence and lineage sorting, may have differently influenced the evolution of each denitrification gene.
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                Author and article information

                Journal
                Environmental Microbiology Reports
                Environmental Microbiology Reports
                Wiley
                17582229
                December 2015
                December 2015
                October 23 2015
                : 7
                : 6
                : 936-945
                Affiliations
                [1 ]Laboratory of Microbiology; Wageningen University; Dreijenplein 10 6703 HB Wageningen The Netherlands
                [2 ]Analytical Biotechnology Section; Department of Biotechnology; Delft University of Technology; Julianalaan 67 2628 BC Delft The Netherlands
                [3 ]Netherlands Proteomics Centre; Julianalaan 67 2628 BC Delft The Netherlands
                [4 ]Laboratory of Systems and Synthetic Biology; Wageningen University; Dreijenplein 10 6703 HB Wageningen The Netherlands
                [5 ]Shell International Exploration and Production Inc.; 3333 Highway 6 South Houston TX 77082 USA
                [6 ]Centre of Biological Engineering; University of Minho; Campus de Gualtar 4710-057 Braga Portugal
                [7 ]Shell Global Solutions International B.V.; Kessler Park 1 2288 GS Rijswijk The Netherlands
                Article
                10.1111/1758-2229.12335
                26332065
                7a9ef19b-247f-483e-be50-d8a3dc4e2c8e
                © 2015

                http://doi.wiley.com/10.1002/tdm_license_1.1

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