Literature DB >> 23590207

Quantifying sequence proportions in a DNA-based diet study using Ion Torrent amplicon sequencing: which counts count?

Bruce E Deagle1, Austen C Thomas, Amanda K Shaffer, Andrew W Trites, Simon N Jarman.   

Abstract

A goal of many environmental DNA barcoding studies is to infer quantitative information about relative abundances of different taxa based on sequence read proportions generated by high-throughput sequencing. However, potential biases associated with this approach are only beginning to be examined. We sequenced DNA amplified from faeces (scats) of captive harbour seals (Phoca vitulina) to investigate whether sequence counts could be used to quantify the seals' diet. Seals were fed fish in fixed proportions, a chordate-specific mitochondrial 16S marker was amplified from scat DNA and amplicons sequenced using an Ion Torrent PGM™. For a given set of bioinformatic parameters, there was generally low variability between scat samples in proportions of prey species sequences recovered. However, proportions varied substantially depending on sequencing direction, level of quality filtering (due to differences in sequence quality between species) and minimum read length considered. Short primer tags used to identify individual samples also influenced species proportions. In addition, there were complex interactions between factors; for example, the effect of quality filtering was influenced by the primer tag and sequencing direction. Resequencing of a subset of samples revealed some, but not all, biases were consistent between runs. Less stringent data filtering (based on quality scores or read length) generally produced more consistent proportional data, but overall proportions of sequences were very different than dietary mass proportions, indicating additional technical or biological biases are present. Our findings highlight that quantitative interpretations of sequence proportions generated via high-throughput sequencing will require careful experimental design and thoughtful data analysis.
© 2013 John Wiley & Sons Ltd.

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Year:  2013        PMID: 23590207     DOI: 10.1111/1755-0998.12103

Source DB:  PubMed          Journal:  Mol Ecol Resour        ISSN: 1755-098X            Impact factor:   7.090


  42 in total

1.  DNA metabarcoding diet analysis for species with parapatric vs sympatric distribution: a case study on subterranean rodents.

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Journal:  Heredity (Edinb)       Date:  2015-02-04       Impact factor: 3.821

2.  Relative Performance of MinION (Oxford Nanopore Technologies) versus Sequel (Pacific Biosciences) Third-Generation Sequencing Instruments in Identification of Agricultural and Forest Fungal Pathogens.

Authors:  Kaire Loit; Kalev Adamson; Mohammad Bahram; Rasmus Puusepp; Sten Anslan; Riinu Kiiker; Rein Drenkhan; Leho Tedersoo
Journal:  Appl Environ Microbiol       Date:  2019-10-16       Impact factor: 4.792

3.  Limited dietary overlap amongst resident Arctic herbivores in winter: complementary insights from complementary methods.

Authors:  Niels M Schmidt; Jesper B Mosbacher; Eero J Vesterinen; Tomas Roslin; Anders Michelsen
Journal:  Oecologia       Date:  2018-04-26       Impact factor: 3.225

4.  Discrimination of grasshopper (Orthoptera: Acrididae) diet and niche overlap using next-generation sequencing of gut contents.

Authors:  Beverly McClenaghan; Joel F Gibson; Shadi Shokralla; Mehrdad Hajibabaei
Journal:  Ecol Evol       Date:  2015-07-07       Impact factor: 2.912

5.  Detection of termites and other insects consumed by African great apes using molecular fecal analysis.

Authors:  Ibrahim Hamad; Eric Delaporte; Didier Raoult; Fadi Bittar
Journal:  Sci Rep       Date:  2014-03-27       Impact factor: 4.379

6.  Using environmental DNA to census marine fishes in a large mesocosm.

Authors:  Ryan P Kelly; Jesse A Port; Kevan M Yamahara; Larry B Crowder
Journal:  PLoS One       Date:  2014-01-15       Impact factor: 3.240

Review 7.  Molecular detection of trophic interactions: emerging trends, distinct advantages, significant considerations and conservation applications.

Authors:  Elizabeth L Clare
Journal:  Evol Appl       Date:  2014-10-29       Impact factor: 5.183

8.  Accurate multiplexing and filtering for high-throughput amplicon-sequencing.

Authors:  Philippe Esling; Franck Lejzerowicz; Jan Pawlowski
Journal:  Nucleic Acids Res       Date:  2015-02-17       Impact factor: 16.971

9.  All-Food-Seq (AFS): a quantifiable screen for species in biological samples by deep DNA sequencing.

Authors:  Fabian Ripp; Christopher Felix Krombholz; Yongchao Liu; Mathias Weber; Anne Schäfer; Bertil Schmidt; Rene Köppel; Thomas Hankeln
Journal:  BMC Genomics       Date:  2014-07-31       Impact factor: 3.969

10.  Next-generation sequencing of 16S ribosomal RNA gene amplicons.

Authors:  Sylvie Sanschagrin; Etienne Yergeau
Journal:  J Vis Exp       Date:  2014-08-29       Impact factor: 1.355

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