Literature DB >> 31826963

Comparison of Three Commercial Tools for Metagenomic Shotgun Sequencing Analysis.

Matthew Thoendel1, Patricio Jeraldo2, Kerryl E Greenwood-Quaintance3, Janet Yao2, Nicholas Chia2, Arlen D Hanssen4, Matthew P Abdel1,4, Robin Patel5,3.   

Abstract

Metagenomic shotgun sequencing for the identification of pathogens is being increasingly utilized as a diagnostic method. Interpretation of large and complicated data sets is a significant challenge, for which multiple commercial tools have been developed. Three commercial metagenomic shotgun sequencing tools, CosmosID, One Codex, and IDbyDNA, were compared to determine whether they result in similar interpretations of the same sequencing data. We selected 24 diverse samples from a previously characterized data set derived from DNA extracted from biofilms dislodged from the surfaces of resected arthroplasties (sonicate fluid). Sequencing data sets were analyzed using the three commercial tools and compared to culture results and prior metagenomic analysis interpretation. Identical interpretations from all three tools occurred for 6 samples. The total number of species identified included 28 by CosmosID, 59 by One Codex, and 41 by IDbyDNA. All of the tools performed similarly in detecting those microorganisms identified by culture, including polymicrobial mixes. These data show that while all of the tools performed well overall, there were some differences, particularly in their predilection for identifying low-abundance or contaminant organisms as present.
Copyright © 2020 American Society for Microbiology.

Keywords:  diagnosis; metagenomics

Mesh:

Year:  2020        PMID: 31826963      PMCID: PMC7041569          DOI: 10.1128/JCM.00981-19

Source DB:  PubMed          Journal:  J Clin Microbiol        ISSN: 0095-1137            Impact factor:   5.948


  18 in total

1.  Bacterial diversity in suspected prosthetic joint infections: an exploratory study using 16S rRNA gene analysis.

Authors:  Yijuan Xu; Vibeke Børsholt Rudkjøbing; Ole Simonsen; Christian Pedersen; Jan Lorenzen; Henrik Carl Schønheyder; Per Halkjaer Nielsen; Trine Rolighed Thomsen
Journal:  FEMS Immunol Med Microbiol       Date:  2012-03-22

2.  Unbiased Detection of Respiratory Viruses by Use of RNA Sequencing-Based Metagenomics: a Systematic Comparison to a Commercial PCR Panel.

Authors:  Erin H Graf; Keith E Simmon; Keith D Tardif; Weston Hymas; Steven Flygare; Karen Eilbeck; Mark Yandell; Robert Schlaberg
Journal:  J Clin Microbiol       Date:  2016-01-27       Impact factor: 5.948

3.  Clinical Metagenomic Sequencing for Diagnosis of Meningitis and Encephalitis.

Authors:  Michael R Wilson; Hannah A Sample; Kelsey C Zorn; Shaun Arevalo; Guixia Yu; John Neuhaus; Scot Federman; Doug Stryke; Benjamin Briggs; Charles Langelier; Amy Berger; Vanja Douglas; S Andrew Josephson; Felicia C Chow; Brent D Fulton; Joseph L DeRisi; Jeffrey M Gelfand; Samia N Naccache; Jeffrey Bender; Jennifer Dien Bard; Jamie Murkey; Magrit Carlson; Paul M Vespa; Tara Vijayan; Paul R Allyn; Shelley Campeau; Romney M Humphries; Jeffrey D Klausner; Czarina D Ganzon; Fatemeh Memar; Nicolle A Ocampo; Lara L Zimmermann; Stuart H Cohen; Christopher R Polage; Roberta L DeBiasi; Barbara Haller; Ronald Dallas; Gabriela Maron; Randall Hayden; Kevin Messacar; Samuel R Dominguez; Steve Miller; Charles Y Chiu
Journal:  N Engl J Med       Date:  2019-06-13       Impact factor: 91.245

4.  Comprehensive benchmarking and ensemble approaches for metagenomic classifiers.

Authors:  Alexa B R McIntyre; Rachid Ounit; Ebrahim Afshinnekoo; Robert J Prill; Elizabeth Hénaff; Noah Alexander; Samuel S Minot; David Danko; Jonathan Foox; Sofia Ahsanuddin; Scott Tighe; Nur A Hasan; Poorani Subramanian; Kelly Moffat; Shawn Levy; Stefano Lonardi; Nick Greenfield; Rita R Colwell; Gail L Rosen; Christopher E Mason
Journal:  Genome Biol       Date:  2017-09-21       Impact factor: 13.583

5.  Analytical and clinical validation of a microbial cell-free DNA sequencing test for infectious disease.

Authors:  Timothy A Blauwkamp; Simone Thair; Judith C Wilber; Samuel Yang; Michael J Rosen; Lily Blair; Martin S Lindner; Igor D Vilfan; Trupti Kawli; Fred C Christians; Shivkumar Venkatasubrahmanyam; Gregory D Wall; Anita Cheung; Zoë N Rogers; Galit Meshulam-Simon; Liza Huijse; Sanjeev Balakrishnan; James V Quinn; Desiree Hollemon; David K Hong; Marla Lay Vaughn; Mickey Kertesz; Sivan Bercovici
Journal:  Nat Microbiol       Date:  2019-02-11       Impact factor: 17.745

6.  Identification of Prosthetic Joint Infection Pathogens Using a Shotgun Metagenomics Approach.

Authors:  Matthew J Thoendel; Patricio R Jeraldo; Kerryl E Greenwood-Quaintance; Janet Z Yao; Nicholas Chia; Arlen D Hanssen; Matthew P Abdel; Robin Patel
Journal:  Clin Infect Dis       Date:  2018-10-15       Impact factor: 9.079

Review 7.  Metagenomics: tools and insights for analyzing next-generation sequencing data derived from biodiversity studies.

Authors:  Anastasis Oulas; Christina Pavloudi; Paraskevi Polymenakou; Georgios A Pavlopoulos; Nikolas Papanikolaou; Georgios Kotoulas; Christos Arvanitidis; Ioannis Iliopoulos
Journal:  Bioinform Biol Insights       Date:  2015-05-05

8.  Scalable metagenomic taxonomy classification using a reference genome database.

Authors:  Sasha K Ames; David A Hysom; Shea N Gardner; G Scott Lloyd; Maya B Gokhale; Jonathan E Allen
Journal:  Bioinformatics       Date:  2013-07-04       Impact factor: 6.937

Review 9.  Understanding the Promises and Hurdles of Metagenomic Next-Generation Sequencing as a Diagnostic Tool for Infectious Diseases.

Authors:  Patricia J Simner; Steven Miller; Karen C Carroll
Journal:  Clin Infect Dis       Date:  2018-02-10       Impact factor: 9.079

10.  Kraken: ultrafast metagenomic sequence classification using exact alignments.

Authors:  Derrick E Wood; Steven L Salzberg
Journal:  Genome Biol       Date:  2014-03-03       Impact factor: 13.583

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  2 in total

1.  Multilaboratory assessment of metagenomic next-generation sequencing for unbiased microbe detection.

Authors:  Dongsheng Han; Zhenli Diao; Huiying Lai; Yanxi Han; Jiehong Xie; Rui Zhang; Jinming Li
Journal:  J Adv Res       Date:  2021-09-27       Impact factor: 12.822

2.  A Nine-Strain Bacterial Consortium Improves Portal Hypertension and Insulin Signaling and Delays NAFLD Progression In Vivo.

Authors:  Iris Pinheiro; Aurora Barberá; Imma Raurell; Federico Estrella; Marcel de Leeuw; Selin Bolca; Davide Gottardi; Nigel Horscroft; Sam Possemiers; María Teresa Salcedo; Joan Genescà; María Martell; Salvador Augustin
Journal:  Biomedicines       Date:  2022-05-20
  2 in total

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