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Fungal community analysis by high-throughput sequencing of amplified markers – a user's guide
Novel high-throughput sequencing methods outperform earlier approaches in terms of resolution and magnitude. They enable identification and relative quantification of community members and offer new insights into fungal community ecology. These methods are currently taking over as the primary tool t...
Autores principales: | , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Blackwell Publishing Ltd
2013
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3712477/ https://www.ncbi.nlm.nih.gov/pubmed/23534863 http://dx.doi.org/10.1111/nph.12243 |
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author | Lindahl, Björn D Nilsson, R Henrik Tedersoo, Leho Abarenkov, Kessy Carlsen, Tor Kjøller, Rasmus Kõljalg, Urmas Pennanen, Taina Rosendahl, Søren Stenlid, Jan Kauserud, Håvard |
author_facet | Lindahl, Björn D Nilsson, R Henrik Tedersoo, Leho Abarenkov, Kessy Carlsen, Tor Kjøller, Rasmus Kõljalg, Urmas Pennanen, Taina Rosendahl, Søren Stenlid, Jan Kauserud, Håvard |
author_sort | Lindahl, Björn D |
collection | PubMed |
description | Novel high-throughput sequencing methods outperform earlier approaches in terms of resolution and magnitude. They enable identification and relative quantification of community members and offer new insights into fungal community ecology. These methods are currently taking over as the primary tool to assess fungal communities of plant-associated endophytes, pathogens, and mycorrhizal symbionts, as well as free-living saprotrophs. Taking advantage of the collective experience of six research groups, we here review the different stages involved in fungal community analysis, from field sampling via laboratory procedures to bioinformatics and data interpretation. We discuss potential pitfalls, alternatives, and solutions. Highlighted topics are challenges involved in: obtaining representative DNA/RNA samples and replicates that encompass the targeted variation in community composition, selection of marker regions and primers, options for amplification and multiplexing, handling of sequencing errors, and taxonomic identification. Without awareness of methodological biases, limitations of markers, and bioinformatics challenges, large-scale sequencing projects risk yielding artificial results and misleading conclusions. |
format | Online Article Text |
id | pubmed-3712477 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2013 |
publisher | Blackwell Publishing Ltd |
record_format | MEDLINE/PubMed |
spelling | pubmed-37124772013-07-25 Fungal community analysis by high-throughput sequencing of amplified markers – a user's guide Lindahl, Björn D Nilsson, R Henrik Tedersoo, Leho Abarenkov, Kessy Carlsen, Tor Kjøller, Rasmus Kõljalg, Urmas Pennanen, Taina Rosendahl, Søren Stenlid, Jan Kauserud, Håvard New Phytol Research Novel high-throughput sequencing methods outperform earlier approaches in terms of resolution and magnitude. They enable identification and relative quantification of community members and offer new insights into fungal community ecology. These methods are currently taking over as the primary tool to assess fungal communities of plant-associated endophytes, pathogens, and mycorrhizal symbionts, as well as free-living saprotrophs. Taking advantage of the collective experience of six research groups, we here review the different stages involved in fungal community analysis, from field sampling via laboratory procedures to bioinformatics and data interpretation. We discuss potential pitfalls, alternatives, and solutions. Highlighted topics are challenges involved in: obtaining representative DNA/RNA samples and replicates that encompass the targeted variation in community composition, selection of marker regions and primers, options for amplification and multiplexing, handling of sequencing errors, and taxonomic identification. Without awareness of methodological biases, limitations of markers, and bioinformatics challenges, large-scale sequencing projects risk yielding artificial results and misleading conclusions. Blackwell Publishing Ltd 2013-07 2013-03-28 /pmc/articles/PMC3712477/ /pubmed/23534863 http://dx.doi.org/10.1111/nph.12243 Text en Copyright © 2013 New Phytologist Trust http://creativecommons.org/licenses/by/2.5/ Re-use of this article is permitted in accordance with the Creative Commons Deed, Attribution 2.5, which does not permit commercial exploitation. |
spellingShingle | Research Lindahl, Björn D Nilsson, R Henrik Tedersoo, Leho Abarenkov, Kessy Carlsen, Tor Kjøller, Rasmus Kõljalg, Urmas Pennanen, Taina Rosendahl, Søren Stenlid, Jan Kauserud, Håvard Fungal community analysis by high-throughput sequencing of amplified markers – a user's guide |
title | Fungal community analysis by high-throughput sequencing of amplified markers – a user's guide |
title_full | Fungal community analysis by high-throughput sequencing of amplified markers – a user's guide |
title_fullStr | Fungal community analysis by high-throughput sequencing of amplified markers – a user's guide |
title_full_unstemmed | Fungal community analysis by high-throughput sequencing of amplified markers – a user's guide |
title_short | Fungal community analysis by high-throughput sequencing of amplified markers – a user's guide |
title_sort | fungal community analysis by high-throughput sequencing of amplified markers – a user's guide |
topic | Research |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3712477/ https://www.ncbi.nlm.nih.gov/pubmed/23534863 http://dx.doi.org/10.1111/nph.12243 |
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