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Advancing biodiversity assessments with environmental DNA: Long‐read technologies help reveal the drivers of Amazonian fungal diversity

Fungi are a key component of tropical biodiversity. However, due to their inconspicuous and largely subterranean nature, they are usually neglected in biodiversity inventories. The goal of this study was to identify the key determinants of fungal richness, community composition, and turnover in trop...

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Autores principales: Ritter, Camila D., Dunthorn, Micah, Anslan, Sten, de Lima, Vitor Xavier, Tedersoo, Leho, Nilsson, Rolf Henrik, Antonelli, Alexandre
Formato: Online Artículo Texto
Lenguaje:English
Publicado: John Wiley and Sons Inc. 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7391351/
https://www.ncbi.nlm.nih.gov/pubmed/32760545
http://dx.doi.org/10.1002/ece3.6477
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author Ritter, Camila D.
Dunthorn, Micah
Anslan, Sten
de Lima, Vitor Xavier
Tedersoo, Leho
Nilsson, Rolf Henrik
Antonelli, Alexandre
author_facet Ritter, Camila D.
Dunthorn, Micah
Anslan, Sten
de Lima, Vitor Xavier
Tedersoo, Leho
Nilsson, Rolf Henrik
Antonelli, Alexandre
author_sort Ritter, Camila D.
collection PubMed
description Fungi are a key component of tropical biodiversity. However, due to their inconspicuous and largely subterranean nature, they are usually neglected in biodiversity inventories. The goal of this study was to identify the key determinants of fungal richness, community composition, and turnover in tropical rainforests. We tested specifically for the effect of soil properties, habitat, and locality in Amazonia. For these analyses, we used high‐throughput sequencing data of short and long reads of fungal DNA present in soil and organic litter samples, combining existing and novel genomic data. Habitat type (phytophysiognomy) emerges as the strongest factor explaining fungal community composition. Naturally open areas—campinas—are the richest habitat overall. Soil properties have different effects depending on the soil layer (litter or mineral soil) and the choice of genetic marker. We suggest that campinas could be a neglected hotspot of fungal diversity. An underlying cause for their rich diversity may be the overall low soil fertility, which increases the reliance on biotic interactions essential for nutrient absorption in these environments, notably ectomycorrhizal fungi–plant associations. Our results highlight the advantages of using both short and long DNA reads produced through high‐throughput sequencing to characterize fungal diversity. While short reads can suffice for diversity and community comparison, long reads add taxonomic precision and have the potential to reveal population diversity.
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spelling pubmed-73913512020-08-04 Advancing biodiversity assessments with environmental DNA: Long‐read technologies help reveal the drivers of Amazonian fungal diversity Ritter, Camila D. Dunthorn, Micah Anslan, Sten de Lima, Vitor Xavier Tedersoo, Leho Nilsson, Rolf Henrik Antonelli, Alexandre Ecol Evol Original Research Fungi are a key component of tropical biodiversity. However, due to their inconspicuous and largely subterranean nature, they are usually neglected in biodiversity inventories. The goal of this study was to identify the key determinants of fungal richness, community composition, and turnover in tropical rainforests. We tested specifically for the effect of soil properties, habitat, and locality in Amazonia. For these analyses, we used high‐throughput sequencing data of short and long reads of fungal DNA present in soil and organic litter samples, combining existing and novel genomic data. Habitat type (phytophysiognomy) emerges as the strongest factor explaining fungal community composition. Naturally open areas—campinas—are the richest habitat overall. Soil properties have different effects depending on the soil layer (litter or mineral soil) and the choice of genetic marker. We suggest that campinas could be a neglected hotspot of fungal diversity. An underlying cause for their rich diversity may be the overall low soil fertility, which increases the reliance on biotic interactions essential for nutrient absorption in these environments, notably ectomycorrhizal fungi–plant associations. Our results highlight the advantages of using both short and long DNA reads produced through high‐throughput sequencing to characterize fungal diversity. While short reads can suffice for diversity and community comparison, long reads add taxonomic precision and have the potential to reveal population diversity. John Wiley and Sons Inc. 2020-06-23 /pmc/articles/PMC7391351/ /pubmed/32760545 http://dx.doi.org/10.1002/ece3.6477 Text en © 2020 The Authors. Ecology and Evolution published by John Wiley & Sons Ltd This is an open access article under the terms of the http://creativecommons.org/licenses/by/4.0/ License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited.
spellingShingle Original Research
Ritter, Camila D.
Dunthorn, Micah
Anslan, Sten
de Lima, Vitor Xavier
Tedersoo, Leho
Nilsson, Rolf Henrik
Antonelli, Alexandre
Advancing biodiversity assessments with environmental DNA: Long‐read technologies help reveal the drivers of Amazonian fungal diversity
title Advancing biodiversity assessments with environmental DNA: Long‐read technologies help reveal the drivers of Amazonian fungal diversity
title_full Advancing biodiversity assessments with environmental DNA: Long‐read technologies help reveal the drivers of Amazonian fungal diversity
title_fullStr Advancing biodiversity assessments with environmental DNA: Long‐read technologies help reveal the drivers of Amazonian fungal diversity
title_full_unstemmed Advancing biodiversity assessments with environmental DNA: Long‐read technologies help reveal the drivers of Amazonian fungal diversity
title_short Advancing biodiversity assessments with environmental DNA: Long‐read technologies help reveal the drivers of Amazonian fungal diversity
title_sort advancing biodiversity assessments with environmental dna: long‐read technologies help reveal the drivers of amazonian fungal diversity
topic Original Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7391351/
https://www.ncbi.nlm.nih.gov/pubmed/32760545
http://dx.doi.org/10.1002/ece3.6477
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