Literature DB >> 31359005

Hybrid metagenomic assembly enables high-resolution analysis of resistance determinants and mobile elements in human microbiomes.

Denis Bertrand1, Jim Shaw1, Manesh Kalathiyappan1, Amanda Hui Qi Ng1, M Senthil Kumar1, Chenhao Li1, Mirta Dvornicic1,2, Janja Paliska Soldo1, Jia Yu Koh1, Chengxuan Tong1, Oon Tek Ng3, Timothy Barkham4, Barnaby Young3,5, Kalisvar Marimuthu6,7, Kern Rei Chng1, Mile Sikic2, Niranjan Nagarajan8,9.   

Abstract

Characterization of microbiomes has been enabled by high-throughput metagenomic sequencing. However, existing methods are not designed to combine reads from short- and long-read technologies. We present a hybrid metagenomic assembler named OPERA-MS that integrates assembly-based metagenome clustering with repeat-aware, exact scaffolding to accurately assemble complex communities. Evaluation using defined in vitro and virtual gut microbiomes revealed that OPERA-MS assembles metagenomes with greater base pair accuracy than long-read (>5×; Canu), higher contiguity than short-read (~10× NGA50; MEGAHIT, IDBA-UD, metaSPAdes) and fewer assembly errors than non-metagenomic hybrid assemblers (2×; hybridSPAdes). OPERA-MS provides strain-resolved assembly in the presence of multiple genomes of the same species, high-quality reference genomes for rare species (<1%) with ~9× long-read coverage and near-complete genomes with higher coverage. We used OPERA-MS to assemble 28 gut metagenomes of antibiotic-treated patients, and showed that the inclusion of long nanopore reads produces more contiguous assemblies (200× improvement over short-read assemblies), including more than 80 closed plasmid or phage sequences and a new 263 kbp jumbo phage. High-quality hybrid assemblies enable an exquisitely detailed view of the gut resistome in human patients.

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Year:  2019        PMID: 31359005     DOI: 10.1038/s41587-019-0191-2

Source DB:  PubMed          Journal:  Nat Biotechnol        ISSN: 1087-0156            Impact factor:   54.908


  58 in total

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

Authors:  Fernando Meyer; Adrian Fritz; Zhi-Luo Deng; David Koslicki; Till Robin Lesker; Alexey Gurevich; Gary Robertson; Mohammed Alser; Dmitry Antipov; Francesco Beghini; Denis Bertrand; Jaqueline J Brito; C Titus Brown; Jan Buchmann; Aydin Buluç; Bo Chen; Rayan Chikhi; Philip T L C Clausen; Alexandru Cristian; Piotr Wojciech Dabrowski; Aaron E Darling; Rob Egan; Eleazar Eskin; Evangelos Georganas; Eugene Goltsman; Melissa A Gray; Lars Hestbjerg Hansen; Steven Hofmeyr; Pingqin Huang; Luiz Irber; Huijue Jia; Tue Sparholt Jørgensen; Silas D Kieser; Terje Klemetsen; Axel Kola; Mikhail Kolmogorov; Anton Korobeynikov; Jason Kwan; Nathan LaPierre; Claire Lemaitre; Chenhao Li; Antoine Limasset; Fabio Malcher-Miranda; Serghei Mangul; Vanessa R Marcelino; Camille Marchet; Pierre Marijon; Dmitry Meleshko; Daniel R Mende; Alessio Milanese; Niranjan Nagarajan; Jakob Nissen; Sergey Nurk; Leonid Oliker; Lucas Paoli; Pierre Peterlongo; Vitor C Piro; Jacob S Porter; Simon Rasmussen; Evan R Rees; Knut Reinert; Bernhard Renard; Espen Mikal Robertsen; Gail L Rosen; Hans-Joachim Ruscheweyh; Varuni Sarwal; Nicola Segata; Enrico Seiler; Lizhen Shi; Fengzhu Sun; Shinichi Sunagawa; Søren Johannes Sørensen; Ashleigh Thomas; Chengxuan Tong; Mirko Trajkovski; Julien Tremblay; Gherman Uritskiy; Riccardo Vicedomini; Zhengyang Wang; Ziye Wang; Zhong Wang; Andrew Warren; Nils Peder Willassen; Katherine Yelick; Ronghui You; Georg Zeller; Zhengqiao Zhao; Shanfeng Zhu; Jie Zhu; Ruben Garrido-Oter; Petra Gastmeier; Stephane Hacquard; Susanne Häußler; Ariane Khaledi; Friederike Maechler; Fantin Mesny; Simona Radutoiu; Paul Schulze-Lefert; Nathiana Smit; Till Strowig; Andreas Bremges; Alexander Sczyrba; Alice Carolyn McHardy
Journal:  Nat Methods       Date:  2022-04-08       Impact factor: 28.547

Review 2.  Metagenomics-enabled microbial surveillance.

Authors:  Karrie K K Ko; Kern Rei Chng; Niranjan Nagarajan
Journal:  Nat Microbiol       Date:  2022-04-01       Impact factor: 17.745

Review 3.  Innovative and rapid antimicrobial susceptibility testing systems.

Authors:  Alex van Belkum; Carey-Ann D Burnham; John W A Rossen; Frederic Mallard; Olivier Rochas; William Michael Dunne
Journal:  Nat Rev Microbiol       Date:  2020-02-13       Impact factor: 60.633

Review 4.  Approaches for characterizing and tracking hospital-associated multidrug-resistant bacteria.

Authors:  Kevin S Blake; JooHee Choi; Gautam Dantas
Journal:  Cell Mol Life Sci       Date:  2021-02-13       Impact factor: 9.261

Review 5.  The Gut Microbiome as a Reservoir for Antimicrobial Resistance.

Authors:  Winston E Anthony; Carey-Ann D Burnham; Gautam Dantas; Jennie H Kwon
Journal:  J Infect Dis       Date:  2021-06-16       Impact factor: 5.226

6.  Long-read metagenomics retrieves complete single-contig bacterial genomes from canine feces.

Authors:  Anna Cuscó; Daniel Pérez; Joaquim Viñes; Norma Fàbregas; Olga Francino
Journal:  BMC Genomics       Date:  2021-05-06       Impact factor: 3.969

7.  Insights into Ammonia Adaptation and Methanogenic Precursor Oxidation by Genome-Centric Analysis.

Authors:  Miao Yan; Laura Treu; Xinyu Zhu; Hailin Tian; Arianna Basile; Ioannis A Fotidis; Stefano Campanaro; Irini Angelidaki
Journal:  Environ Sci Technol       Date:  2020-09-14       Impact factor: 9.028

8.  Evaluating the accuracy of Listeria monocytogenes assemblies from quasimetagenomic samples using long and short reads.

Authors:  Seth Commichaux; Kiran Javkar; Padmini Ramachandran; Niranjan Nagarajan; Denis Bertrand; Yi Chen; Elizabeth Reed; Narjol Gonzalez-Escalona; Errol Strain; Hugh Rand; Mihai Pop; Andrea Ottesen
Journal:  BMC Genomics       Date:  2021-05-26       Impact factor: 3.969

Review 9.  Ecology and evolution of antimicrobial resistance in bacterial communities.

Authors:  Michael J Bottery; Jonathan W Pitchford; Ville-Petri Friman
Journal:  ISME J       Date:  2020-11-20       Impact factor: 10.302

Review 10.  A practical guide to amplicon and metagenomic analysis of microbiome data.

Authors:  Yong-Xin Liu; Yuan Qin; Tong Chen; Meiping Lu; Xubo Qian; Xiaoxuan Guo; Yang Bai
Journal:  Protein Cell       Date:  2020-05-11       Impact factor: 14.870

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