Literature DB >> 24102760

Improving accuracy of DNA diet estimates using food tissue control materials and an evaluation of proxies for digestion bias.

Austen C Thomas1, Simon N Jarman, Katherine H Haman, Andrew W Trites, Bruce E Deagle.   

Abstract

Ecologists are increasingly interested in quantifying consumer diets based on food DNA in dietary samples and high-throughput sequencing of marker genes. It is tempting to assume that food DNA sequence proportions recovered from diet samples are representative of consumer's diet proportions, despite the fact that captive feeding studies do not support that assumption. Here, we examine the idea of sequencing control materials of known composition along with dietary samples in order to correct for technical biases introduced during amplicon sequencing and biological biases such as variable gene copy number. Using the Ion Torrent PGM(©) , we sequenced prey DNA amplified from scats of captive harbour seals (Phoca vitulina) fed a constant diet including three fish species in known proportions. Alongside, we sequenced a prey tissue mix matching the seals' diet to generate tissue correction factors (TCFs). TCFs improved the diet estimates (based on sequence proportions) for all species and reduced the average estimate error from 28 ± 15% (uncorrected) to 14 ± 9% (TCF-corrected). The experimental design also allowed us to infer the magnitude of prey-specific digestion biases and calculate digestion correction factors (DCFs). The DCFs were compared with possible proxies for differential digestion (e.g. fish protein%, fish lipid%) revealing a strong relationship between the DCFs and percent lipid of the fish prey, suggesting prey-specific corrections based on lipid content would produce accurate diet estimates in this study system. These findings demonstrate the value of parallel sequencing of food tissue mixtures in diet studies and offer new directions for future research in quantitative DNA diet analysis.
© 2013 John Wiley & Sons Ltd.

Entities:  

Keywords:  correction factors; diet analysis; next-generation sequencing; pinniped

Mesh:

Substances:

Year:  2013        PMID: 24102760     DOI: 10.1111/mec.12523

Source DB:  PubMed          Journal:  Mol Ecol        ISSN: 0962-1083            Impact factor:   6.185


  27 in total

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

Authors:  C M Lopes; M De Barba; F Boyer; C Mercier; P J S da Silva Filho; L M Heidtmann; D Galiano; B B Kubiak; P Langone; F M Garcias; L Gielly; E Coissac; T R O de Freitas; P Taberlet
Journal:  Heredity (Edinb)       Date:  2015-02-04       Impact factor: 3.821

2.  Maximizing dietary information retrievable from carcasses of Great Cormorants Phalacrocorax carbo using a combined morphological and molecular analytical approach.

Authors:  Johannes Oehm; Bettina Thalinger; Hannes Mayr; Michael Traugott
Journal:  Ibis (Lond 1859)       Date:  2015-12-15       Impact factor: 2.517

3.  Molecular prey identification in Central European piscivores.

Authors:  Bettina Thalinger; Johannes Oehm; Hannes Mayr; Armin Obwexer; Christiane Zeisler; Michael Traugott
Journal:  Mol Ecol Resour       Date:  2015-06-21       Impact factor: 7.090

4.  DNA metabarcoding for diet analysis and biodiversity: A case study using the endangered Australian sea lion (Neophoca cinerea).

Authors:  Tina E Berry; Sylvia K Osterrieder; Dáithí C Murray; Megan L Coghlan; Anthony J Richardson; Alicia K Grealy; Michael Stat; Lars Bejder; Michael Bunce
Journal:  Ecol Evol       Date:  2017-06-12       Impact factor: 2.912

5.  Diet analysis in piscivorous birds: What can the addition of molecular tools offer?

Authors:  Johannes Oehm; Bettina Thalinger; Stephanie Eisenkölbl; Michael Traugott
Journal:  Ecol Evol       Date:  2017-02-23       Impact factor: 2.912

6.  DNA metabarcoding of spiders, insects, and springtails for exploring potential linkage between above- and below-ground food webs.

Authors:  Hirokazu Toju; Yuki G Baba
Journal:  Zoological Lett       Date:  2018-02-15       Impact factor: 2.836

7.  The influence of meal size on prey DNA detectability in piscivorous birds.

Authors:  Bettina Thalinger; Johannes Oehm; Armin Obwexer; Michael Traugott
Journal:  Mol Ecol Resour       Date:  2017-10-14       Impact factor: 7.090

8.  Searching for the true diet of marine predators: incorporating Bayesian priors into stable isotope mixing models.

Authors:  André Chiaradia; Manuela G Forero; Julie C McInnes; Francisco Ramírez
Journal:  PLoS One       Date:  2014-03-25       Impact factor: 3.240

9.  Assessing vertebrate biodiversity in a kelp forest ecosystem using environmental DNA.

Authors:  Jesse A Port; James L O'Donnell; Ofelia C Romero-Maraccini; Paul R Leary; Steven Y Litvin; Kerry J Nickols; Kevan M Yamahara; Ryan P Kelly
Journal:  Mol Ecol       Date:  2015-12-24       Impact factor: 6.185

10.  The effects of pastoral intensification on the feeding interactions of generalist predators in streams.

Authors:  C E Pearson; W O C Symondson; E L Clare; S J Ormerod; E Iparraguirre Bolaños; I P Vaughan
Journal:  Mol Ecol       Date:  2017-12-23       Impact factor: 6.185

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.