Literature DB >> 21948828

Evaluation of a transposase protocol for rapid generation of shotgun high-throughput sequencing libraries from nanogram quantities of DNA.

Rachel Marine1, Shawn W Polson, Jacques Ravel, Graham Hatfull, Daniel Russell, Matthew Sullivan, Fraz Syed, Michael Dumas, K Eric Wommack.   

Abstract

Construction of DNA fragment libraries for next-generation sequencing can prove challenging, especially for samples with low DNA yield. Protocols devised to circumvent the problems associated with low starting quantities of DNA can result in amplification biases that skew the distribution of genomes in metagenomic data. Moreover, sample throughput can be slow, as current library construction techniques are time-consuming. This study evaluated Nextera, a new transposon-based method that is designed for quick production of DNA fragment libraries from a small quantity of DNA. The sequence read distribution across nine phage genomes in a mock viral assemblage met predictions for six of the least-abundant phages; however, the rank order of the most abundant phages differed slightly from predictions. De novo genome assemblies from Nextera libraries provided long contigs spanning over half of the phage genome; in four cases where full-length genome sequences were available for comparison, consensus sequences were found to match over 99% of the genome with near-perfect identity. Analysis of areas of low and high sequence coverage within phage genomes indicated that GC content may influence coverage of sequences from Nextera libraries. Comparisons of phage genomes prepared using both Nextera and a standard 454 FLX Titanium library preparation protocol suggested that the coverage biases according to GC content observed within the Nextera libraries were largely attributable to bias in the Nextera protocol rather than to the 454 sequencing technology. Nevertheless, given suitable sequence coverage, the Nextera protocol produced high-quality data for genomic studies. For metagenomics analyses, effects of GC amplification bias would need to be considered; however, the library preparation standardization that Nextera provides should benefit comparative metagenomic analyses.

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Year:  2011        PMID: 21948828      PMCID: PMC3209006          DOI: 10.1128/AEM.05610-11

Source DB:  PubMed          Journal:  Appl Environ Microbiol        ISSN: 0099-2240            Impact factor:   4.792


  26 in total

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Review 2.  Tn5 as a model for understanding DNA transposition.

Authors:  William S Reznikoff
Journal:  Mol Microbiol       Date:  2003-03       Impact factor: 3.501

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Authors:  Mya Breitbart; Peter Salamon; Bjarne Andresen; Joseph M Mahaffy; Anca M Segall; David Mead; Farooq Azam; Forest Rohwer
Journal:  Proc Natl Acad Sci U S A       Date:  2002-10-16       Impact factor: 11.205

4.  Usefulness of repeated GenomiPhi, a phi29 DNA polymerase-based rolling circle amplification kit, for generation of large amounts of plasmid DNA.

Authors:  Masahiro Sato; Masato Ohtsuka; Yuhsuke Ohmi
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5.  Tn5/IS50 target recognition.

Authors:  I Y Goryshin; J A Miller; Y V Kil; V A Lanzov; W S Reznikoff
Journal:  Proc Natl Acad Sci U S A       Date:  1998-09-01       Impact factor: 11.205

6.  Efficient random subcloning of DNA sheared in a recirculating point-sink flow system.

Authors:  P J Oefner; S P Hunicke-Smith; L Chiang; F Dietrich; J Mulligan; R W Davis
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Review 7.  Gapped BLAST and PSI-BLAST: a new generation of protein database search programs.

Authors:  S F Altschul; T L Madden; A A Schäffer; J Zhang; Z Zhang; W Miller; D J Lipman
Journal:  Nucleic Acids Res       Date:  1997-09-01       Impact factor: 16.971

Review 8.  Target site selection in transposition.

Authors:  N L Craig
Journal:  Annu Rev Biochem       Date:  1997       Impact factor: 23.643

9.  Rapid, low-input, low-bias construction of shotgun fragment libraries by high-density in vitro transposition.

Authors:  Andrew Adey; Hilary G Morrison; Xu Xun; Jacob O Kitzman; Emily H Turner; Bethany Stackhouse; Alexandra P MacKenzie; Nicholas C Caruccio; Xiuqing Zhang; Jay Shendure
Journal:  Genome Biol       Date:  2010-12-08       Impact factor: 13.583

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  44 in total

1.  Microbial metabolic potential for carbon degradation and nutrient (nitrogen and phosphorus) acquisition in an ombrotrophic peatland.

Authors:  Xueju Lin; Malak M Tfaily; Stefan J Green; J Megan Steinweg; Patrick Chanton; Aopeau Imvittaya; Jeffrey P Chanton; William Cooper; Christopher Schadt; Joel E Kostka
Journal:  Appl Environ Microbiol       Date:  2014-03-28       Impact factor: 4.792

2.  Deconvolution of nucleic-acid length distributions: a gel electrophoresis analysis tool and applications.

Authors:  Riccardo Ziraldo; Massa J Shoura; Andrew Z Fire; Stephen D Levene
Journal:  Nucleic Acids Res       Date:  2019-09-19       Impact factor: 16.971

3.  Development and bias assessment of a method for targeted metagenomic sequencing of marine cyanobacteria.

Authors:  Cécilia S Batmalle; Hsin-I Chiang; Kun Zhang; Michael W Lomas; Adam C Martiny
Journal:  Appl Environ Microbiol       Date:  2013-12-02       Impact factor: 4.792

4.  Automated Gel Size Selection to Improve the Quality of Next-generation Sequencing Libraries Prepared from Environmental Water Samples.

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Journal:  J Vis Exp       Date:  2015-04-17       Impact factor: 1.355

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Authors:  Sanchita Jamindar; Shawn W Polson; Sharath Srinivasiah; Lisa Waidner; K Eric Wommack
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Review 6.  Library construction for next-generation sequencing: overviews and challenges.

Authors:  Steven R Head; H Kiyomi Komori; Sarah A LaMere; Thomas Whisenant; Filip Van Nieuwerburgh; Daniel R Salomon; Phillip Ordoukhanian
Journal:  Biotechniques       Date:  2014-02-01       Impact factor: 1.993

Review 7.  Going viral: next-generation sequencing applied to phage populations in the human gut.

Authors:  Alejandro Reyes; Nicholas P Semenkovich; Katrine Whiteson; Forest Rohwer; Jeffrey I Gordon
Journal:  Nat Rev Microbiol       Date:  2012-08-06       Impact factor: 60.633

8.  Towards quantitative metagenomics of wild viruses and other ultra-low concentration DNA samples: a rigorous assessment and optimization of the linker amplification method.

Authors:  Melissa B Duhaime; Li Deng; Bonnie T Poulos; Matthew B Sullivan
Journal:  Environ Microbiol       Date:  2012-06-20       Impact factor: 5.491

9.  Mosaic Ends Tagmentation (METa) Assembly for Highly Efficient Construction of Functional Metagenomic Libraries.

Authors:  Terence S Crofts; Alexander G McFarland; Erica M Hartmann
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10.  Sequencing platform and library preparation choices impact viral metagenomes.

Authors:  Sergei A Solonenko; J César Ignacio-Espinoza; Adriana Alberti; Corinne Cruaud; Steven Hallam; Kostas Konstantinidis; Gene Tyson; Patrick Wincker; Matthew B Sullivan
Journal:  BMC Genomics       Date:  2013-05-10       Impact factor: 3.969

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