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Evaluation of plant contamination in metabarcoding diet analysis of a herbivore
Fecal DNA metabarcoding is currently used in various fields of ecology to determine animal diets. Contamination of non-food DNA from complex field environments is a considerable challenge to the reliability of this method but has rarely been quantified. We evaluated plant DNA contamination by sequen...
Autores principales: | , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2018
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6197254/ https://www.ncbi.nlm.nih.gov/pubmed/30349088 http://dx.doi.org/10.1038/s41598-018-32845-w |
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author | Ando, Haruko Fujii, Chieko Kawanabe, Masataka Ao, Yoshimi Inoue, Tomomi Takenaka, Akio |
author_facet | Ando, Haruko Fujii, Chieko Kawanabe, Masataka Ao, Yoshimi Inoue, Tomomi Takenaka, Akio |
author_sort | Ando, Haruko |
collection | PubMed |
description | Fecal DNA metabarcoding is currently used in various fields of ecology to determine animal diets. Contamination of non-food DNA from complex field environments is a considerable challenge to the reliability of this method but has rarely been quantified. We evaluated plant DNA contamination by sequencing the chloroplast trnL P6 loop region from food-controlled geese feces. The average percentage of contaminant sequences per sample was 1.86%. According to the results of generalized linear models, the probability of contamination was highest in samples placed in wet soil. The proportion of contaminant sequences was lowest at the earliest sampling point and was slightly higher in samples placed in open conditions. Exclusion of rare OTUs (operational taxonomic units) was effective for obtaining reliable dietary data from the obtained sequences, and a 1% cutoff reduced the percentage of contaminated samples to less than 30%. However, appropriate interpretation of the barcoding results considering inevitable contamination is an important issue to address. We suggest the following procedures for fecal sampling and sequence data treatment to increase the reliability of DNA metabarcoding diet analyses: (i) Collect samples as soon as possible after deposition, (ii) avoid samples from deposits on wet soil, and (iii) exclude rare OTUs from diet composition estimations. |
format | Online Article Text |
id | pubmed-6197254 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2018 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-61972542018-10-24 Evaluation of plant contamination in metabarcoding diet analysis of a herbivore Ando, Haruko Fujii, Chieko Kawanabe, Masataka Ao, Yoshimi Inoue, Tomomi Takenaka, Akio Sci Rep Article Fecal DNA metabarcoding is currently used in various fields of ecology to determine animal diets. Contamination of non-food DNA from complex field environments is a considerable challenge to the reliability of this method but has rarely been quantified. We evaluated plant DNA contamination by sequencing the chloroplast trnL P6 loop region from food-controlled geese feces. The average percentage of contaminant sequences per sample was 1.86%. According to the results of generalized linear models, the probability of contamination was highest in samples placed in wet soil. The proportion of contaminant sequences was lowest at the earliest sampling point and was slightly higher in samples placed in open conditions. Exclusion of rare OTUs (operational taxonomic units) was effective for obtaining reliable dietary data from the obtained sequences, and a 1% cutoff reduced the percentage of contaminated samples to less than 30%. However, appropriate interpretation of the barcoding results considering inevitable contamination is an important issue to address. We suggest the following procedures for fecal sampling and sequence data treatment to increase the reliability of DNA metabarcoding diet analyses: (i) Collect samples as soon as possible after deposition, (ii) avoid samples from deposits on wet soil, and (iii) exclude rare OTUs from diet composition estimations. Nature Publishing Group UK 2018-10-22 /pmc/articles/PMC6197254/ /pubmed/30349088 http://dx.doi.org/10.1038/s41598-018-32845-w Text en © The Author(s) 2018 Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/. |
spellingShingle | Article Ando, Haruko Fujii, Chieko Kawanabe, Masataka Ao, Yoshimi Inoue, Tomomi Takenaka, Akio Evaluation of plant contamination in metabarcoding diet analysis of a herbivore |
title | Evaluation of plant contamination in metabarcoding diet analysis of a herbivore |
title_full | Evaluation of plant contamination in metabarcoding diet analysis of a herbivore |
title_fullStr | Evaluation of plant contamination in metabarcoding diet analysis of a herbivore |
title_full_unstemmed | Evaluation of plant contamination in metabarcoding diet analysis of a herbivore |
title_short | Evaluation of plant contamination in metabarcoding diet analysis of a herbivore |
title_sort | evaluation of plant contamination in metabarcoding diet analysis of a herbivore |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6197254/ https://www.ncbi.nlm.nih.gov/pubmed/30349088 http://dx.doi.org/10.1038/s41598-018-32845-w |
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