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The effect of DNA degradation bias in passive sampling devices on metabarcoding studies of arthropod communities and their associated microbiota
PCR amplification bias is a well-known problem in metagenomic analysis of arthropod communities. In contrast, variation of DNA degradation rates is a largely neglected source of bias. Differential degradation of DNA molecules could cause underrepresentation of taxa in a community sequencing sample....
Autores principales: | , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Public Library of Science
2018
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5755739/ https://www.ncbi.nlm.nih.gov/pubmed/29304124 http://dx.doi.org/10.1371/journal.pone.0189188 |
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author | Krehenwinkel, Henrik Fong, Marisa Kennedy, Susan Huang, Edward Greg Noriyuki, Suzuki Cayetano, Luis Gillespie, Rosemary |
author_facet | Krehenwinkel, Henrik Fong, Marisa Kennedy, Susan Huang, Edward Greg Noriyuki, Suzuki Cayetano, Luis Gillespie, Rosemary |
author_sort | Krehenwinkel, Henrik |
collection | PubMed |
description | PCR amplification bias is a well-known problem in metagenomic analysis of arthropod communities. In contrast, variation of DNA degradation rates is a largely neglected source of bias. Differential degradation of DNA molecules could cause underrepresentation of taxa in a community sequencing sample. Arthropods are often collected by passive sampling devices, like malaise traps. Specimens in such a trap are exposed to varying periods of suboptimal storage and possibly different rates of DNA degradation. Degradation bias could thus be a significant issue, skewing diversity estimates. Here, we estimate the effect of differential DNA degradation on the recovery of community diversity of Hawaiian arthropods and their associated microbiota. We use a simple DNA size selection protocol to test for degradation bias in mock communities, as well as passively collected samples from actual Malaise traps. We compare the effect of DNA degradation to that of varying PCR conditions, including primer choice, annealing temperature and cycle number. Our results show that DNA degradation does indeed bias community analyses. However, the effect of this bias is of minor importance compared to that induced by changes in PCR conditions. Analyses of the macro and microbiome from passively collected arthropod samples are thus well worth pursuing. |
format | Online Article Text |
id | pubmed-5755739 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2018 |
publisher | Public Library of Science |
record_format | MEDLINE/PubMed |
spelling | pubmed-57557392018-01-26 The effect of DNA degradation bias in passive sampling devices on metabarcoding studies of arthropod communities and their associated microbiota Krehenwinkel, Henrik Fong, Marisa Kennedy, Susan Huang, Edward Greg Noriyuki, Suzuki Cayetano, Luis Gillespie, Rosemary PLoS One Research Article PCR amplification bias is a well-known problem in metagenomic analysis of arthropod communities. In contrast, variation of DNA degradation rates is a largely neglected source of bias. Differential degradation of DNA molecules could cause underrepresentation of taxa in a community sequencing sample. Arthropods are often collected by passive sampling devices, like malaise traps. Specimens in such a trap are exposed to varying periods of suboptimal storage and possibly different rates of DNA degradation. Degradation bias could thus be a significant issue, skewing diversity estimates. Here, we estimate the effect of differential DNA degradation on the recovery of community diversity of Hawaiian arthropods and their associated microbiota. We use a simple DNA size selection protocol to test for degradation bias in mock communities, as well as passively collected samples from actual Malaise traps. We compare the effect of DNA degradation to that of varying PCR conditions, including primer choice, annealing temperature and cycle number. Our results show that DNA degradation does indeed bias community analyses. However, the effect of this bias is of minor importance compared to that induced by changes in PCR conditions. Analyses of the macro and microbiome from passively collected arthropod samples are thus well worth pursuing. Public Library of Science 2018-01-05 /pmc/articles/PMC5755739/ /pubmed/29304124 http://dx.doi.org/10.1371/journal.pone.0189188 Text en © 2018 Krehenwinkel et al http://creativecommons.org/licenses/by/4.0/ This is an open access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. |
spellingShingle | Research Article Krehenwinkel, Henrik Fong, Marisa Kennedy, Susan Huang, Edward Greg Noriyuki, Suzuki Cayetano, Luis Gillespie, Rosemary The effect of DNA degradation bias in passive sampling devices on metabarcoding studies of arthropod communities and their associated microbiota |
title | The effect of DNA degradation bias in passive sampling devices on metabarcoding studies of arthropod communities and their associated microbiota |
title_full | The effect of DNA degradation bias in passive sampling devices on metabarcoding studies of arthropod communities and their associated microbiota |
title_fullStr | The effect of DNA degradation bias in passive sampling devices on metabarcoding studies of arthropod communities and their associated microbiota |
title_full_unstemmed | The effect of DNA degradation bias in passive sampling devices on metabarcoding studies of arthropod communities and their associated microbiota |
title_short | The effect of DNA degradation bias in passive sampling devices on metabarcoding studies of arthropod communities and their associated microbiota |
title_sort | effect of dna degradation bias in passive sampling devices on metabarcoding studies of arthropod communities and their associated microbiota |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5755739/ https://www.ncbi.nlm.nih.gov/pubmed/29304124 http://dx.doi.org/10.1371/journal.pone.0189188 |
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