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Profiling grapevine trunk pathogens in planta: a case for community-targeted DNA metabarcoding
BACKGROUND: DNA metabarcoding, commonly used in exploratory microbial ecology studies, is a promising method for the simultaneous in planta-detection of multiple pathogens associated with disease complexes, such as the grapevine trunk diseases. Profiling of pathogen communities associated with grape...
Autores principales: | , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
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BioMed Central
2018
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6295080/ https://www.ncbi.nlm.nih.gov/pubmed/30547761 http://dx.doi.org/10.1186/s12866-018-1343-0 |
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author | Morales-Cruz, Abraham Figueroa-Balderas, Rosa García, Jadran F. Tran, Eric Rolshausen, Philippe E. Baumgartner, Kendra Cantu, Dario |
author_facet | Morales-Cruz, Abraham Figueroa-Balderas, Rosa García, Jadran F. Tran, Eric Rolshausen, Philippe E. Baumgartner, Kendra Cantu, Dario |
author_sort | Morales-Cruz, Abraham |
collection | PubMed |
description | BACKGROUND: DNA metabarcoding, commonly used in exploratory microbial ecology studies, is a promising method for the simultaneous in planta-detection of multiple pathogens associated with disease complexes, such as the grapevine trunk diseases. Profiling of pathogen communities associated with grapevine trunk diseases is particularly challenging, due to the presence within an individual wood lesion of multiple co-infecting trunk pathogens and other wood-colonizing fungi, which span a broad range of taxa in the fungal kingdom. As such, we designed metabarcoding primers, using as template the ribosomal internal transcribed spacer of grapevine trunk-associated ascomycete fungi (GTAA) and compared them to two universal primer widely used in microbial ecology. RESULTS: We first performed in silico simulations and then tested the primers by high-throughput amplicon sequencing of (i) multiple combinations of mock communities, (ii) time-course experiments with controlled inoculations, and (iii) diseased field samples from vineyards under natural levels of infection. All analyses showed that GTAA had greater affinity and sensitivity, compared to those of the universal primers. Importantly, with GTAA, profiling of mock communities and comparisons with shotgun-sequencing metagenomics of field samples gave an accurate representation of genera of important trunk pathogens, namely Phaeomoniella, Phaeoacremonium, and Eutypa, the abundances of which were over- or under-estimated with universal primers. CONCLUSIONS: Overall, our findings not only demonstrate that DNA metabarcoding gives qualitatively and quantitatively accurate results when applied to grapevine trunk diseases, but also that primer customization and testing are crucial to ensure the validity of DNA metabarcoding results. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (10.1186/s12866-018-1343-0) contains supplementary material, which is available to authorized users. |
format | Online Article Text |
id | pubmed-6295080 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2018 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-62950802018-12-18 Profiling grapevine trunk pathogens in planta: a case for community-targeted DNA metabarcoding Morales-Cruz, Abraham Figueroa-Balderas, Rosa García, Jadran F. Tran, Eric Rolshausen, Philippe E. Baumgartner, Kendra Cantu, Dario BMC Microbiol Methodology Article BACKGROUND: DNA metabarcoding, commonly used in exploratory microbial ecology studies, is a promising method for the simultaneous in planta-detection of multiple pathogens associated with disease complexes, such as the grapevine trunk diseases. Profiling of pathogen communities associated with grapevine trunk diseases is particularly challenging, due to the presence within an individual wood lesion of multiple co-infecting trunk pathogens and other wood-colonizing fungi, which span a broad range of taxa in the fungal kingdom. As such, we designed metabarcoding primers, using as template the ribosomal internal transcribed spacer of grapevine trunk-associated ascomycete fungi (GTAA) and compared them to two universal primer widely used in microbial ecology. RESULTS: We first performed in silico simulations and then tested the primers by high-throughput amplicon sequencing of (i) multiple combinations of mock communities, (ii) time-course experiments with controlled inoculations, and (iii) diseased field samples from vineyards under natural levels of infection. All analyses showed that GTAA had greater affinity and sensitivity, compared to those of the universal primers. Importantly, with GTAA, profiling of mock communities and comparisons with shotgun-sequencing metagenomics of field samples gave an accurate representation of genera of important trunk pathogens, namely Phaeomoniella, Phaeoacremonium, and Eutypa, the abundances of which were over- or under-estimated with universal primers. CONCLUSIONS: Overall, our findings not only demonstrate that DNA metabarcoding gives qualitatively and quantitatively accurate results when applied to grapevine trunk diseases, but also that primer customization and testing are crucial to ensure the validity of DNA metabarcoding results. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (10.1186/s12866-018-1343-0) contains supplementary material, which is available to authorized users. BioMed Central 2018-12-14 /pmc/articles/PMC6295080/ /pubmed/30547761 http://dx.doi.org/10.1186/s12866-018-1343-0 Text en © The Author(s). 2018 Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided 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 Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated. |
spellingShingle | Methodology Article Morales-Cruz, Abraham Figueroa-Balderas, Rosa García, Jadran F. Tran, Eric Rolshausen, Philippe E. Baumgartner, Kendra Cantu, Dario Profiling grapevine trunk pathogens in planta: a case for community-targeted DNA metabarcoding |
title | Profiling grapevine trunk pathogens in planta: a case for community-targeted DNA metabarcoding |
title_full | Profiling grapevine trunk pathogens in planta: a case for community-targeted DNA metabarcoding |
title_fullStr | Profiling grapevine trunk pathogens in planta: a case for community-targeted DNA metabarcoding |
title_full_unstemmed | Profiling grapevine trunk pathogens in planta: a case for community-targeted DNA metabarcoding |
title_short | Profiling grapevine trunk pathogens in planta: a case for community-targeted DNA metabarcoding |
title_sort | profiling grapevine trunk pathogens in planta: a case for community-targeted dna metabarcoding |
topic | Methodology Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6295080/ https://www.ncbi.nlm.nih.gov/pubmed/30547761 http://dx.doi.org/10.1186/s12866-018-1343-0 |
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