@article{CoelhoAlvesMonteiroetal.2019,
  author    = {Coelho, Luis Pedro and Alves, Renato and Monteiro, Paulo and Huerta-Cepas, Jaime and Freitas, Ana Teresa and Bork, Peer},
  title     = {NG-meta-profiler: fast processing of metagenomes using NGLess, a domain-specific language},
  series = {Microbiome},
  volume    = {7},
  journal   = {Microbiome},
  number    = {84},
  doi       = {10.1186/s40168-019-0684-8},
  url       = {http://nbn-resolving.de/urn:nbn:de:bvb:20-opus-223161},
  year      = {2019},
  abstract  = {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.},
  language  = {en}
}
@article{SchmidtHaywardCoelhoetal.2019,
  author    = {Schmidt, Thomas S. B. and Hayward, Matthew R. and Coelho, Luiis P. and Li, Simone S. and Costea, Paul I. and Voigt, Anita Y. and Wirbel, Jakob and Maistrenko, Oleksandr M. and Alves, Renato J. C. and Bergsten, Emma and de Beaufort, Carine and Sobhani, Iradj and Heintz-Buschart, Anna and Sunagawa, Shinichi and Zeller, Georg and Wilmes, Paul and Bork, Peer},
  title     = {Extensive transmission of microbes along the gastrointestinal tract},
  series = {eLife},
  volume    = {8},
  journal   = {eLife},
  doi       = {10.7554/eLife.42693},
  url       = {http://nbn-resolving.de/urn:nbn:de:bvb:20-opus-228954},
  pages     = {e42693, 1-18},
  year      = {2019},
  abstract  = {The gastrointestinal tract is abundantly colonized by microbes, yet the translocation of oral species to the intestine is considered a rare aberrant event, and a hallmark of disease. By studying salivary and fecal microbial strain populations of 310 species in 470 individuals from five countries, we found that transmission to, and subsequent colonization of, the large intestine by oral microbes is common and extensive among healthy individuals. We found evidence for a vast majority of oral species to be transferable, with increased levels of transmission in colorectal cancer and rheumatoid arthritis patients and, more generally, for species described as opportunistic pathogens. This establishes the oral cavity as an endogenous reservoir for gut microbial strains, and oral-fecal transmission as an important process that shapes the gastrointestinal microbiome in health and disease.},
  subject      = {Barrier},
  language  = {en}
}
@article{HicklHeintzBuschartTrautweinSchultetal.2019,
  author    = {Hickl, Oskar and Heintz-Buschart, Anna and Trautwein-Schult, Anke and Hercog, Rajna and Bork, Peer and Wilmes, Paul and Becher, D{\"o}rte},
  title     = {Sample preservation and storage significantly impact taxonomic and functional profiles in metaproteomics studies of the human gut microbiome},
  series = {Microorganisms},
  volume    = {7},
  journal   = {Microorganisms},
  number    = {9},
  issn      = {2076-2607},
  doi       = {10.3390/microorganisms7090367},
  url       = {http://nbn-resolving.de/urn:nbn:de:bvb:20-opus-195976},
  year      = {2019},
  abstract  = {With the technological advances of the last decade, it is now feasible to analyze microbiome samples, such as human stool specimens, using multi-omic techniques. Given the inherent sample complexity, there exists a need for sample methods which preserve as much information as possible about the biological system at the time of sampling. Here, we analyzed human stool samples preserved and stored using different methods, applying metagenomics as well as metaproteomics. Our results demonstrate that sample preservation and storage have a significant effect on the taxonomic composition of identified proteins. The overall identification rates, as well as the proportion of proteins from Actinobacteria were much higher when samples were flash frozen. Preservation in RNAlater overall led to fewer protein identifications and a considerable increase in the share of Bacteroidetes, as well as Proteobacteria. Additionally, a decrease in the share of metabolism-related proteins and an increase of the relative amount of proteins involved in the processing of genetic information was observed for RNAlater-stored samples. This suggests that great care should be taken in choosing methods for the preservation and storage of microbiome samples, as well as in comparing the results of analyses using different sampling and storage methods. Flash freezing and subsequent storage at -80 °C should be chosen wherever possible.},
  language  = {en}
}
@article{MilaneseMendePaolietal.2019,
  author    = {Milanese, Alessio and Mende, Daniel R and Paoli, Lucas and Salazar, Guillem and Ruscheweyh, Hans-Joachim and Cuenca, Miguelangel and Hingamp, Pascal and Alves, Renato and Costea, Paul I and Coelho, Luis Pedro and Schmidt, Thomas S. B. and Almeida, Alexandre and Mitchell, Alex L and Finn, Robert D. and Huerta-Cepas, Jaime and Bork, Peer and Zeller, Georg and Sunagawa, Shinichi},
  title     = {Microbial abundance, activity and population genomic profiling with mOTUs2},
  series = {Nature Communications},
  volume    = {10},
  journal   = {Nature Communications},
  doi       = {10.1038/s41467-019-08844-4},
  url       = {http://nbn-resolving.de/urn:nbn:de:bvb:20-opus-224089},
  year      = {2019},
  abstract  = {Metagenomic sequencing has greatly improved our ability to profile the composition of environmental and host-associated microbial communities. However, the dependency of most methods on reference genomes, which are currently unavailable for a substantial fraction of microbial species, introduces estimation biases. We present an updated and functionally extended tool based on universal (i.e., reference-independent), phylogenetic marker gene (MG)-based operational taxonomic units (mOTUs) enabling the profiling of >7700 microbial species. As more than 30\% of them could not previously be quantified at this taxonomic resolution, relative abundance estimates based on mOTUs are more accurate compared to other methods. As a new feature, we show that mOTUs, which are based on essential housekeeping genes, are demonstrably well-suited for quantification of basal transcriptional activity of community members. Furthermore, single nucleotide variation profiles estimated using mOTUs reflect those from whole genomes, which allows for comparing microbial strain populations (e.g., across different human body sites).},
  language  = {en}
}
@article{BahramAnslanHildebrandetal.2019,
  author    = {Bahram, Mohammad and Anslan, Sten and Hildebrand, Falk and Bork, Peer and Tedersoo, Leho},
  title     = {Newly designed 16S rRNA metabarcoding primers amplify diverse and novel archaeal taxa from the environment},
  series = {Environmental Microbiology Reports},
  volume    = {11},
  journal   = {Environmental Microbiology Reports},
  doi       = {10.1111/1758-2229.12684},
  url       = {http://nbn-resolving.de/urn:nbn:de:bvb:20-opus-221380},
  pages     = {487-494},
  year      = {2019},
  abstract  = {High-throughput studies of microbial communities suggest that Archaea are a widespread component of microbial diversity in various ecosystems. However, proper quantification of archaeal diversity and community ecology remains limited, as sequence coverage of Archaea is usually low owing to the inability of available prokaryotic primers to efficiently amplify archaeal compared to bacterial rRNA genes. To improve identification and quantification of Archaea, we designed and validated the utility of several primer pairs to efficiently amplify archaeal 16S rRNA genes based on up-to-date reference genes. We demonstrate that several of these primer pairs amplify phylogenetically diverse Archaea with high sequencing coverage, outperforming commonly used primers. Based on comparing the resulting long 16S rRNA gene fragments with public databases from all habitats, we found several novel family- to phylum-level archaeal taxa from topsoil and surface water. Our results suggest that archaeal diversity has been largely overlooked due to the limitations of available primers, and that improved primer pairs enable to estimate archaeal diversity more accurately.},
  language  = {en}
}