Literature DB >> 35067223

Nanopore adaptive sampling: a tool for enrichment of low abundance species in metagenomic samples.

Samuel Martin1, Darren Heavens1, Yuxuan Lan1, Samuel Horsfield1, Matthew D Clark2, Richard M Leggett3.   

Abstract

Adaptive sampling is a method of software-controlled enrichment unique to nanopore sequencing platforms. To test its potential for enrichment of rarer species within metagenomic samples, we create a synthetic mock community and construct sequencing libraries with a range of mean read lengths. Enrichment is up to 13.87-fold for the least abundant species in the longest read length library; factoring in reduced yields from rejecting molecules the calculated efficiency raises this to 4.93-fold. Finally, we introduce a mathematical model of enrichment based on molecule length and relative abundance, whose predictions correlate strongly with mock and complex real-world microbial communities.
© 2022. The Author(s).

Entities:  

Keywords:  Adaptive sampling; Enrichment; Metagenomics; Nanopore; ReadUntil; Sequencing

Mesh:

Year:  2022        PMID: 35067223      PMCID: PMC8785595          DOI: 10.1186/s13059-021-02582-x

Source DB:  PubMed          Journal:  Genome Biol        ISSN: 1474-7596            Impact factor:   17.906


  30 in total

1.  Adaptive seeds tame genomic sequence comparison.

Authors:  Szymon M Kiełbasa; Raymond Wan; Kengo Sato; Paul Horton; Martin C Frith
Journal:  Genome Res       Date:  2011-01-05       Impact factor: 9.043

2.  The Reliability of Metagenome-Assembled Genomes (MAGs) in Representing Natural Populations: Insights from Comparing MAGs against Isolate Genomes Derived from the Same Fecal Sample.

Authors:  Alexandra Meziti; Luis M Rodriguez-R; Janet K Hatt; Angela Peña-Gonzalez; Karen Levy; Konstantinos T Konstantinidis
Journal:  Appl Environ Microbiol       Date:  2021-02-26       Impact factor: 4.792

3.  Versatile and open software for comparing large genomes.

Authors:  Stefan Kurtz; Adam Phillippy; Arthur L Delcher; Michael Smoot; Martin Shumway; Corina Antonescu; Steven L Salzberg
Journal:  Genome Biol       Date:  2004-01-30       Impact factor: 13.583

4.  Real-time selective sequencing using nanopore technology.

Authors:  Matthew Loose; Sunir Malla; Michael Stout
Journal:  Nat Methods       Date:  2016-07-25       Impact factor: 28.547

5.  Nanopore sequencing and assembly of a human genome with ultra-long reads.

Authors:  Miten Jain; Sergey Koren; Karen H Miga; Josh Quick; Arthur C Rand; Thomas A Sasani; John R Tyson; Andrew D Beggs; Alexander T Dilthey; Ian T Fiddes; Sunir Malla; Hannah Marriott; Tom Nieto; Justin O'Grady; Hugh E Olsen; Brent S Pedersen; Arang Rhie; Hollian Richardson; Aaron R Quinlan; Terrance P Snutch; Louise Tee; Benedict Paten; Adam M Phillippy; Jared T Simpson; Nicholas J Loman; Matthew Loose
Journal:  Nat Biotechnol       Date:  2018-01-29       Impact factor: 54.908

6.  1200 high-quality metagenome-assembled genomes from the rumen of African cattle and their relevance in the context of sub-optimal feeding.

Authors:  Toby Wilkinson; Daniel Korir; Moses Ogugo; Robert D Stewart; Mick Watson; Edith Paxton; John Goopy; Christelle Robert
Journal:  Genome Biol       Date:  2020-09-03       Impact factor: 13.583

7.  Rapid MinION profiling of preterm microbiota and antimicrobial-resistant pathogens.

Authors:  Richard M Leggett; Cristina Alcon-Giner; Darren Heavens; Shabhonam Caim; Thomas C Brook; Magdalena Kujawska; Samuel Martin; Ned Peel; Holly Acford-Palmer; Lesley Hoyles; Paul Clarke; Lindsay J Hall; Matthew D Clark
Journal:  Nat Microbiol       Date:  2019-12-16       Impact factor: 17.745

8.  Resistance gene enrichment sequencing (RenSeq) enables reannotation of the NB-LRR gene family from sequenced plant genomes and rapid mapping of resistance loci in segregating populations.

Authors:  Florian Jupe; Kamil Witek; Walter Verweij; Jadwiga Sliwka; Leighton Pritchard; Graham J Etherington; Dan Maclean; Peter J Cock; Richard M Leggett; Glenn J Bryan; Linda Cardle; Ingo Hein; Jonathan D G Jones
Journal:  Plant J       Date:  2013-10-08       Impact factor: 6.417

9.  Targeted nanopore sequencing by real-time mapping of raw electrical signal with UNCALLED.

Authors:  Sam Kovaka; Yunfan Fan; Bohan Ni; Winston Timp; Michael C Schatz
Journal:  Nat Biotechnol       Date:  2020-11-30       Impact factor: 54.908

10.  Targeted nanopore sequencing with Cas9-guided adapter ligation.

Authors:  Timothy Gilpatrick; Isac Lee; James E Graham; Etienne Raimondeau; Rebecca Bowen; Andrew Heron; Bradley Downs; Saraswati Sukumar; Fritz J Sedlazeck; Winston Timp
Journal:  Nat Biotechnol       Date:  2020-02-10       Impact factor: 68.164

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  5 in total

1.  ReadBouncer: precise and scalable adaptive sampling for nanopore sequencing.

Authors:  Jens-Uwe Ulrich; Ahmad Lutfi; Kilian Rutzen; Bernhard Y Renard
Journal:  Bioinformatics       Date:  2022-06-24       Impact factor: 6.931

2.  Evaluation of microbiome enrichment and host DNA depletion in human vaginal samples using Oxford Nanopore's adaptive sequencing.

Authors:  Mike Marquet; Janine Zöllkau; Jana Pastuschek; Adrian Viehweger; Ekkehard Schleußner; Oliwia Makarewicz; Mathias W Pletz; Ralf Ehricht; Christian Brandt
Journal:  Sci Rep       Date:  2022-03-07       Impact factor: 4.379

3.  Rapid, in-field deployable, avian influenza virus haemagglutinin characterisation tool using MinION technology.

Authors:  Ellen M de Vries; Noel O I Cogan; Aneta J Gubala; Peter T Mee; Kim J O'Riley; Brendan C Rodoni; Stacey E Lynch
Journal:  Sci Rep       Date:  2022-07-13       Impact factor: 4.996

Review 4.  Combination of Whole Genome Sequencing and Metagenomics for Microbiological Diagnostics.

Authors:  Srinithi Purushothaman; Marco Meola; Adrian Egli
Journal:  Int J Mol Sci       Date:  2022-08-30       Impact factor: 6.208

5.  Rapid PCR-Based Nanopore Adaptive Sequencing Improves Sensitivity and Timeliness of Viral Clinical Detection and Genome Surveillance.

Authors:  Yanfeng Lin; Yan Dai; Yuqi Liu; Zhuli Ren; Hao Guo; Zhenzhong Li; Jinhui Li; Kaiying Wang; Lang Yang; Shuang Zhang; Hongbo Liu; Leili Jia; Ming Ni; Peng Li; Hongbin Song
Journal:  Front Microbiol       Date:  2022-06-16       Impact factor: 6.064

  5 in total

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