Literature DB >> 25577362

Quantitative evaluation of bias in PCR amplification and next-generation sequencing derived from metabarcoding samples.

Marta Pawluczyk1, Julia Weiss, Matthew G Links, Mikel Egaña Aranguren, Mark D Wilkinson, Marcos Egea-Cortines.   

Abstract

Unbiased identification of organisms by PCR reactions using universal primers followed by DNA sequencing assumes positive amplification. We used six universal loci spanning 48 plant species and quantified the bias at each step of the identification process from end point PCR to next-generation sequencing. End point amplification was significantly different for single loci and between species. Quantitative PCR revealed that Cq threshold for various loci, even within a single DNA extraction, showed 2,000-fold differences in DNA quantity after amplification. Next-generation sequencing (NGS) experiments in nine species showed significant biases towards species and specific loci using adaptor-specific primers. NGS sequencing bias may be predicted to some extent by the Cq values of qPCR amplification.

Mesh:

Year:  2015        PMID: 25577362     DOI: 10.1007/s00216-014-8435-y

Source DB:  PubMed          Journal:  Anal Bioanal Chem        ISSN: 1618-2642            Impact factor:   4.142


  29 in total

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8.  Comparative authentication of Hypericum perforatum herbal products using DNA metabarcoding, TLC and HPLC-MS.

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9.  Measuring and mitigating PCR bias in microbiota datasets.

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Journal:  PLoS Comput Biol       Date:  2021-07-06       Impact factor: 4.475

10.  The Global Genome Biodiversity Network (GGBN) Data Standard specification.

Authors:  G Droege; K Barker; O Seberg; J Coddington; E Benson; W G Berendsohn; B Bunk; C Butler; E M Cawsey; J Deck; M Döring; P Flemons; B Gemeinholzer; A Güntsch; T Hollowell; P Kelbert; I Kostadinov; R Kottmann; R T Lawlor; C Lyal; J Mackenzie-Dodds; C Meyer; D Mulcahy; S Y Nussbeck; É O'Tuama; T Orrell; G Petersen; T Robertson; C Söhngen; J Whitacre; J Wieczorek; P Yilmaz; H Zetzsche; Y Zhang; X Zhou
Journal:  Database (Oxford)       Date:  2016-10-02       Impact factor: 3.451

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