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1. Critical Assessment of Metagenome Interpretation: the second round of challenges

Author

Meyer, Fernando, Fritz, Adrian, Deng, Zhi-Luo, Koslicki, David, Lesker, Till Robin, Gurevich, Alexey, Robertson, Gary, Alser, Mohammed, Antipov, Dmitry, Beghini, Francesco, Bertrand, Denis, Brito, Jaqueline J, Brown, C Titus, Buchmann, Jan, Buluç, Aydin, Chen, Bo, Chikhi, Rayan, Clausen, Philip TLC, Cristian, Alexandru, Dabrowski, Piotr Wojciech, Darling, Aaron E, Egan, Rob, Eskin, Eleazar, Georganas, Evangelos, Goltsman, Eugene, Gray, Melissa A, Hansen, Lars Hestbjerg, Hofmeyr, Steven, Huang, Pingqin, Irber, Luiz, Jia, Huijue, Jørgensen, Tue Sparholt, Kieser, Silas D, Klemetsen, Terje, Kola, Axel, Kolmogorov, Mikhail, Korobeynikov, Anton, Kwan, Jason, LaPierre, Nathan, Lemaitre, Claire, Li, Chenhao, Limasset, Antoine, Malcher-Miranda, Fabio, Mangul, Serghei, Marcelino, Vanessa R, Marchet, Camille, Marijon, Pierre, Meleshko, Dmitry, Mende, Daniel R, Milanese, Alessio, Nagarajan, Niranjan, Nissen, Jakob, Nurk, Sergey, Oliker, Leonid, Paoli, Lucas, Peterlongo, Pierre, Piro, Vitor C, Porter, Jacob S, Rasmussen, Simon, Rees, Evan R, Reinert, Knut, Renard, Bernhard, Robertsen, Espen Mikal, Rosen, Gail L, Ruscheweyh, Hans-Joachim, Sarwal, Varuni, Segata, Nicola, Seiler, Enrico, Shi, Lizhen, Sun, Fengzhu, Sunagawa, Shinichi, Sørensen, Søren Johannes, Thomas, Ashleigh, Tong, Chengxuan, Trajkovski, Mirko, Tremblay, Julien, Uritskiy, Gherman, Vicedomini, Riccardo, Wang, Zhengyang, Wang, Ziye, Wang, Zhong, Warren, Andrew, Willassen, Nils Peder, Yelick, Katherine, You, Ronghui, Zeller, Georg, Zhao, Zhengqiao, Zhu, Shanfeng, Zhu, Jie, Garrido-Oter, Ruben, Gastmeier, Petra, Hacquard, Stephane, Häußler, Susanne, Khaledi, Ariane, Maechler, Friederike, Mesny, Fantin, Radutoiu, Simona, Schulze-Lefert, Paul, Smit, Nathiana, and Strowig, Till

Subjects
Biological Sciences, Bioinformatics and Computational Biology, Networking and Information Technology R&D (NITRD), Archaea, Metagenome, Metagenomics, Reproducibility of Results, Sequence Analysis, DNA, Software, Technology, Medical and Health Sciences, Developmental Biology, Biological sciences
Abstract

Evaluating metagenomic software is key for optimizing metagenome interpretation and focus of the Initiative for the Critical Assessment of Metagenome Interpretation (CAMI). The CAMI II challenge engaged the community to assess methods on realistic and complex datasets with long- and short-read sequences, created computationally from around 1,700 new and known genomes, as well as 600 new plasmids and viruses. Here we analyze 5,002 results by 76 program versions. Substantial improvements were seen in assembly, some due to long-read data. Related strains still were challenging for assembly and genome recovery through binning, as was assembly quality for the latter. Profilers markedly matured, with taxon profilers and binners excelling at higher bacterial ranks, but underperforming for viruses and Archaea. Clinical pathogen detection results revealed a need to improve reproducibility. Runtime and memory usage analyses identified efficient programs, including top performers with other metrics. The results identify challenges and guide researchers in selecting methods for analyses.

Published
2022

2. Antibiotics and the Intestinal Microbiome Intestinal microbiome : Individual Responses, Resilience of the Ecosystem, and the Susceptibility to Infections

Author

Thiemann, Sophie, Smit, Nathiana, Strowig, Till, Compans, Richard W, Series editor, Honjo, Tasuku, Series editor, Oldstone, Michael B. A., Series editor, Vogt, Peter K., Series editor, Malissen, Bernard, Series editor, Aktories, Klaus, Series editor, Kawaoka, Yoshihiro, Series editor, Rappuoli, Rino, Series editor, Galan, Jorge E., Series editor, Ahmed, Rafi, Series editor, Palme, Klaus, Series editor, Casadevall, Arturo, Series editor, Garcia-Sastre, Adolfo, Series editor, Stadler, Marc, editor, and Dersch, Petra, editor

Published
2016
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5. Critical Assessment of Metagenome Interpretation:the second round of challenges

Author

Meyer, Fernando, Fritz, Adrian, Deng, Zhi-Luo, Koslicki, David, Lesker, Till Robin, Gurevich, Alexey, Robertson, Gary, Alser, Mohammed, Antipov, Dmitry, Beghini, Francesco, Bertrand, Denis, Brito, Jaqueline J., Brown, C. Titus, Buchmann, Jan, Buluç, Aydin, Chen, Bo, Chikhi, Rayan, Clausen, Philip T.L.C., Cristian, Alexandru, Dabrowski, Piotr Wojciech, Darling, Aaron E., Egan, Rob, Eskin, Eleazar, Georganas, Evangelos, Goltsman, Eugene, Gray, Melissa A., Hansen, Lars Hestbjerg, Hofmeyr, Steven, Huang, Pingqin, Irber, Luiz, Jia, Huijue, Jørgensen, Tue Sparholt, Kieser, Silas D., Klemetsen, Terje, Kola, Axel, Kolmogorov, Mikhail, Korobeynikov, Anton, Kwan, Jason, LaPierre, Nathan, Lemaitre, Claire, Li, Chenhao, Limasset, Antoine, Malcher-Miranda, Fabio, Mangul, Serghei, Marcelino, Vanessa R., Marchet, Camille, Marijon, Pierre, Meleshko, Dmitry, Mende, Daniel R., Milanese, Alessio, Nagarajan, Niranjan, Nissen, Jakob, Nurk, Sergey, Oliker, Leonid, Paoli, Lucas, Peterlongo, Pierre, Piro, Vitor C., Porter, Jacob S., Rasmussen, Simon, Rees, Evan R., Reinert, Knut, Renard, Bernhard, Robertsen, Espen Mikal, Rosen, Gail L., Ruscheweyh, Hans-Joachim, Sarwal, Varuni, Segata, Nicola, Seiler, Enrico, Shi, Lizhen, Sun, Fengzhu, Sunagawa, Shinichi, Sørensen, Søren Johannes, Thomas, Ashleigh, Tong, Chengxuan, Trajkovski, Mirko, Tremblay, Julien, Uritskiy, Gherman, Vicedomini, Riccardo, Wang, Zhengyang, Wang, Ziye, Wang, Zhong, Warren, Andrew, Willassen, Nils Peder, Yelick, Katherine, You, Ronghui, Zeller, Georg, Zhao, Zhengqiao, Zhu, Shanfeng, Zhu, Jie, Garrido-Oter, Ruben, Gastmeier, Petra, Hacquard, Stephane, Häußler, Susanne, Khaledi, Ariane, Maechler, Friederike, Mesny, Fantin, Radutoiu, Simona, Schulze-Lefert, Paul, Smit, Nathiana, Strowig, Till, Bremges, Andreas, Sczyrba, Alexander, McHardy, Alice Carolyn, Meyer, Fernando, Fritz, Adrian, Deng, Zhi-Luo, Koslicki, David, Lesker, Till Robin, Gurevich, Alexey, Robertson, Gary, Alser, Mohammed, Antipov, Dmitry, Beghini, Francesco, Bertrand, Denis, Brito, Jaqueline J., Brown, C. Titus, Buchmann, Jan, Buluç, Aydin, Chen, Bo, Chikhi, Rayan, Clausen, Philip T.L.C., Cristian, Alexandru, Dabrowski, Piotr Wojciech, Darling, Aaron E., Egan, Rob, Eskin, Eleazar, Georganas, Evangelos, Goltsman, Eugene, Gray, Melissa A., Hansen, Lars Hestbjerg, Hofmeyr, Steven, Huang, Pingqin, Irber, Luiz, Jia, Huijue, Jørgensen, Tue Sparholt, Kieser, Silas D., Klemetsen, Terje, Kola, Axel, Kolmogorov, Mikhail, Korobeynikov, Anton, Kwan, Jason, LaPierre, Nathan, Lemaitre, Claire, Li, Chenhao, Limasset, Antoine, Malcher-Miranda, Fabio, Mangul, Serghei, Marcelino, Vanessa R., Marchet, Camille, Marijon, Pierre, Meleshko, Dmitry, Mende, Daniel R., Milanese, Alessio, Nagarajan, Niranjan, Nissen, Jakob, Nurk, Sergey, Oliker, Leonid, Paoli, Lucas, Peterlongo, Pierre, Piro, Vitor C., Porter, Jacob S., Rasmussen, Simon, Rees, Evan R., Reinert, Knut, Renard, Bernhard, Robertsen, Espen Mikal, Rosen, Gail L., Ruscheweyh, Hans-Joachim, Sarwal, Varuni, Segata, Nicola, Seiler, Enrico, Shi, Lizhen, Sun, Fengzhu, Sunagawa, Shinichi, Sørensen, Søren Johannes, Thomas, Ashleigh, Tong, Chengxuan, Trajkovski, Mirko, Tremblay, Julien, Uritskiy, Gherman, Vicedomini, Riccardo, Wang, Zhengyang, Wang, Ziye, Wang, Zhong, Warren, Andrew, Willassen, Nils Peder, Yelick, Katherine, You, Ronghui, Zeller, Georg, Zhao, Zhengqiao, Zhu, Shanfeng, Zhu, Jie, Garrido-Oter, Ruben, Gastmeier, Petra, Hacquard, Stephane, Häußler, Susanne, Khaledi, Ariane, Maechler, Friederike, Mesny, Fantin, Radutoiu, Simona, Schulze-Lefert, Paul, Smit, Nathiana, Strowig, Till, Bremges, Andreas, Sczyrba, Alexander, and McHardy, Alice Carolyn

Abstract

Evaluating metagenomic software is key for optimizing metagenome interpretation and focus of the Initiative for the Critical Assessment of Metagenome Interpretation (CAMI). The CAMI II challenge engaged the community to assess methods on realistic and complex datasets with long- and short-read sequences, created computationally from around 1,700 new and known genomes, as well as 600 new plasmids and viruses. Here we analyze 5,002 results by 76 program versions. Substantial improvements were seen in assembly, some due to long-read data. Related strains still were challenging for assembly and genome recovery through binning, as was assembly quality for the latter. Profilers markedly matured, with taxon profilers and binners excelling at higher bacterial ranks, but underperforming for viruses and Archaea. Clinical pathogen detection results revealed a need to improve reproducibility. Runtime and memory usage analyses identified efficient programs, including top performers with other metrics. The results identify challenges and guide researchers in selecting methods for analyses.

Published
2022

7. Variations in microbiota composition of laboratory mice influence Citrobacter rodentium infection via variable short-chain fatty acid production

Author

Osbelt, Lisa, primary, Thiemann, Sophie, additional, Smit, Nathiana, additional, Lesker, Till Robin, additional, Schröter, Madita, additional, Gálvez, Eric J. C., additional, Schmidt-Hohagen, Kerstin, additional, Pils, Marina C., additional, Mühlen, Sabrina, additional, Dersch, Petra, additional, Hiller, Karsten, additional, Schlüter, Dirk, additional, Neumann-Schaal, Meina, additional, and Strowig, Till, additional

Published
2020
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8. PrsA2 (CD630_35000) of Clostridioides difficile Is an Active Parvulin-Type PPIase and a Virulence Modulator

Author

Ünal, Can Murat, Berges, Mareike, Smit, Nathiana, Schiene-Fischer, Cordelia, Priebe, Christina, Strowig, Till, Jahn, Dieter, and Steinert, Michael

Subjects
Colonization, ddc:57, Prsa2, Peptidyl-prolyl-cis/trans-isomerase, ddc:570, Resistance, Clostridioides Difficile, Veröffentlichung der TU Braunschweig, Germination, Publikationsfonds der TU Braunschweig, Article, ddc:5
Abstract

Clostridioides difficile is the main cause for nosocomial antibiotic associated diarrhea and has become a major burden for the health care systems of industrial countries. Its main virulence factors, the small GTPase glycosylating toxins TcdA and TcdB, are extensively studied. In contrast, the contribution of other factors to development and progression of C. difficile infection (CDI) are only insufficiently understood. Many bacterial peptidyl-prolyl-cis/trans-isomerases (PPIases) have been described in the context of virulence. Among them are the parvulin-type PrsA-like PPIases of Gram-positive bacteria. On this basis, we identified CD630_35000 as the PrsA2 homolog in C. difficile and conducted its enzymatic and phenotypic characterization in order to assess its involvement during C. difficile infection. For this purpose, wild type CdPrsA2 and mutant variants carrying amino acid exchanges mainly in the PPIase domain were recombinantly produced. Recombinant CdPrsA2 showed PPIase activity toward the substrate peptide Ala-Xaa-Pro-Phe with a preference for positively charged amino acids preceding the proline residue. Mutation of conserved residues in its active site pocket impaired the enzymatic activity. A PrsA2 deficient mutant was generated in the C. difficile 630Δerm background using the ClosTron technology. Inactivation of prsA2 resulted in a reduced germination rate in response to taurocholic acid, and in a slight increase in resistance to the secondary bile acids LCA and DCA. Interestingly, in the absence of PrsA2 colonization of mice by C. difficile 630 was significantly reduced. We concluded that CdPrsA2 is an active PPIase that acts as a virulence modulator by influencing crucial processes like sporulation, germination and bile acid resistance resulting in attenuated mice colonization.

Published
2018
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9. Sequence and cultivation study of Muribaculaceae reveals novel species, host preference, and functional potential of this yet undescribed family

Author

Lagkouvardos, Ilias, Lesker, Till R., Overmann, Jörg, Strowig, Till, Clavel, Thomas, Hitch, Thomas C. A., Gálvez, Eric J. C., Smit, Nathiana, Neuhaus, Klaus, Wang, Jun, Baines, John F., Abt, Birte, Stecher, Bärbel, and HZI, Helmholtz Zentrum für Infektionsforschung GmbH, Inhoffenstr. 7, 38124 Braunschweig Germany.

Subjects
DNA, Bacterial, Bacteriological Techniques, Bacteroidetes, Research, Cultivation, Muribaculaceae, Biodiversity, Sequence Analysis, DNA, Mouse gut microbiota, DNA, Ribosomal, lcsh:Microbial ecology, Gastrointestinal Microbiome, Mice, Species Specificity, Bacterial diversity, Homeothermaceae, RNA, Ribosomal, 16S, Family S24-7, lcsh:QR100-130, Animals, Bacteroides, Metagenomics, Metagenomic species, Phylogeny
Abstract

Background Bacteria within family S24-7 (phylum Bacteroidetes) are dominant in the mouse gut microbiota and detected in the intestine of other animals. Because they had not been cultured until recently and the family classification is still ambiguous, interaction with their host was difficult to study and confusion still exists regarding sequence data annotation. Methods We investigated family S24-7 by combining data from large-scale 16S rRNA gene analysis and from functional and taxonomic studies of metagenomic and cultured species. Results A total of 685 species was inferred by full-length 16S rRNA gene sequence clustering. While many species could not be assigned ecological habitats (93,045 samples analyzed), the mouse was the most commonly identified host (average of 20% relative abundance and nine co-occurring species). Shotgun metagenomics allowed reconstruction of 59 molecular species, of which 34 were representative of the 16S rRNA gene-derived species clusters. In addition, cultivation efforts allowed isolating five strains representing three species, including two novel taxa. Genome analysis revealed that S24-7 spp. are functionally distinct from neighboring families and versatile with respect to complex carbohydrate degradation. Conclusions We provide novel data on the diversity, ecology, and description of bacterial family S24-7, for which the name Muribaculaceae is proposed. Electronic supplementary material The online version of this article (10.1186/s40168-019-0637-2) contains supplementary material, which is available to authorized users.

Published
2018
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