TY - JOUR A1 - Mende, Daniel R. A1 - Letunic, Ivica A1 - Huerta-Cepas, Jaime A1 - Li, Simone S. A1 - Forslund, Kristoffer A1 - Sunagawa, Shinichi A1 - Bork, Peer T1 - proGenomes: a resource for consistent functional and taxonomic annotations of prokaryotic genomes JF - Nucleic Acids Research N2 - The availability of microbial genomes has opened many new avenues of research within microbiology. This has been driven primarily by comparative genomics approaches, which rely on accurate and consistent characterization of genomic sequences. It is nevertheless difficult to obtain consistent taxonomic and integrated functional annotations for defined prokaryotic clades. Thus, we developed proGenomes, a resource that provides user-friendly access to currently 25 038 high-quality genomes whose sequences and consistent annotations can be retrieved individually or by taxonomic clade. These genomes are assigned to 5306 consistent and accurate taxonomic species clusters based on previously established methodology. proGenomes also contains functional information for almost 80 million protein-coding genes, including a comprehensive set of general annotations and more focused annotations for carbohydrate-active enzymes and antibiotic resistance genes. Additionally, broad habitat information is provided for many genomes. All genomes and associated information can be downloaded by user-selected clade or multiple habitat-specific sets of representative genomes. We expect that the availability of high-quality genomes with comprehensive functional annotations will promote advances in clinical microbial genomics, functional evolution and other subfields of microbiology. proGenomes is available at http://progenomes.embl.de. KW - biology KW - genomic sequence KW - prokaryotic clade KW - proGenomes KW - habitat information KW - taxonomic description KW - genome collection KW - comparative genomics KW - genomics research Y1 - 2017 U6 - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:bvb:20-opus-171987 VL - 45 IS - D1 ER - TY - JOUR A1 - Coelho, Luis Pedro A1 - Kultima, Jens Roat A1 - Costea, Paul Igor A1 - Fournier, Coralie A1 - Pan, Yuanlong A1 - Czarnecki-Maulden, Gail A1 - Hayward, Matthew Robert A1 - Forslund, Sofia K. A1 - Schmidt, Thomas Sebastian Benedikt A1 - Descombes, Patrick A1 - Jackson, Janet R. A1 - Li, Qinghong A1 - Bork, Peer T1 - Similarity of the dog and human gut microbiomes in gene content and response to diet JF - Microbiome N2 - Background Gut microbes influence their hosts in many ways, in particular by modulating the impact of diet. These effects have been studied most extensively in humans and mice. In this work, we used whole genome metagenomics to investigate the relationship between the gut metagenomes of dogs, humans, mice, and pigs. Results We present a dog gut microbiome gene catalog containing 1,247,405 genes (based on 129 metagenomes and a total of 1.9 terabasepairs of sequencing data). Based on this catalog and taxonomic abundance profiling, we show that the dog microbiome is closer to the human microbiome than the microbiome of either pigs or mice. To investigate this similarity in terms of response to dietary changes, we report on a randomized intervention with two diets (high-protein/low-carbohydrate vs. lower protein/higher carbohydrate). We show that diet has a large and reproducible effect on the dog microbiome, independent of breed or sex. Moreover, the responses were in agreement with those observed in previous human studies. Conclusions We conclude that findings in dogs may be predictive of human microbiome results. In particular, a novel finding is that overweight or obese dogs experience larger compositional shifts than lean dogs in response to a high-protein diet. KW - microbiome KW - diet KW - metagenomics KW - dog microbiome KW - human microbiome KW - mouse microbiome KW - pig microbiome Y1 - 2018 U6 - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:bvb:20-opus-223177 VL - 6 ER - TY - JOUR A1 - Coelho, Luis Pedro A1 - Alves, Renato A1 - Monteiro, Paulo A1 - Huerta-Cepas, Jaime A1 - Freitas, Ana Teresa A1 - Bork, Peer T1 - NG-meta-profiler: fast processing of metagenomes using NGLess, a domain-specific language JF - Microbiome N2 - Background Shotgun metagenomes contain a sample of all the genomic material in an environment, allowing for the characterization of a microbial community. In order to understand these communities, bioinformatics methods are crucial. A common first step in processing metagenomes is to compute abundance estimates of different taxonomic or functional groups from the raw sequencing data. Given the breadth of the field, computational solutions need to be flexible and extensible, enabling the combination of different tools into a larger pipeline. Results We present NGLess and NG-meta-profiler. NGLess is a domain specific language for describing next-generation sequence processing pipelines. It was developed with the goal of enabling user-friendly computational reproducibility. It provides built-in support for many common operations on sequencing data and is extensible with external tools with configuration files. Using this framework, we developed NG-meta-profiler, a fast profiler for metagenomes which performs sequence preprocessing, mapping to bundled databases, filtering of the mapping results, and profiling (taxonomic and functional). It is significantly faster than either MOCAT2 or htseq-count and (as it builds on NGLess) its results are perfectly reproducible. Conclusions NG-meta-profiler is a high-performance solution for metagenomics processing built on NGLess. It can be used as-is to execute standard analyses or serve as the starting point for customization in a perfectly reproducible fashion. NGLess and NG-meta-profiler are open source software (under the liberal MIT license) and can be downloaded from https://ngless.embl.de or installed through bioconda. KW - metagenomics KW - next-generation sequencing KW - domain-specific language Y1 - 2019 U6 - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:bvb:20-opus-223161 VL - 7 IS - 84 ER -