Soil fungal communities of ectomycorrhizal dominated woodlands across West Africa

Ocorrência
Versão mais recente published by Biology Section, Uppsala University on jun. 13, 2024 Biology Section, Uppsala University
Publication date:
13 de junho de 2024
Licença:
CC-BY 4.0

Baixe a última versão do recurso de dados, como um Darwin Core Archive (DwC-A) ou recurso de metadados, como EML ou RTF:

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Descrição

Forests and woodlands in the Guineo-Sudanian transition zone contain many tree species that form symbiotic interactions with ectomycorrhizal (ECM) fungi, which facilitate plant growth by increasing nutrient and water uptake. Despite their importance for ecosystem functioning and anthropogenic use, diversity and distribution of ECM fungi is severely under-documented in West Africa. We conducted a broad regional sampling across five West African countries using soil eDNA to characterize the ECM as well as the total soil fungal community in two vegetation types dominated by ECM host tree species. Sequencing of the entire ITS region and much of the LSU region allows us to infer a phylogeny for all detected soil fungal species. This data resource contain amplicon sequence variants (ASVs) generated from the dataset using the procedure established in Kalsoom-Khan et al. (2020) after accessing general read quality and ensuring that the majority of reads fell within the expected length (1-2 kb). In brief, raw sequence reads were filtered and trimmed, and PacBio-type chimeras were detected and removed using the tool cutadapt. Amplicons sequenced in reverse were reverse complemented. Reads were filtered using DADA2, discarding sequences with more than 3 expected errors as well as those with a length outside the range of 1200–1800 bases. Filtered sequences were then denoised using DADA2, with complete pooling and an increased alignment band size of 32. Singleton ASVs are not included in DADA2 denoising output. De novo chimera detection and removal were also performed in DADA2, with a minimum parent overabundance of 3.5 and allowing detection of chimeras with a single base difference from their parent sequence. This dataset was published via the SBDI ASV portal (https://asv-portal.biodiversitydata.se/).

Registros de Dados

Os dados deste recurso de ocorrência foram publicados como um Darwin Core Archive (DwC-A), que é o formato padronizado para compartilhamento de dados de biodiversidade como um conjunto de uma ou mais tabelas de dados. A tabela de dados do núcleo contém 6.144 registros.

Também existem 2 tabelas de dados de extensão. Um registro de extensão fornece informações adicionais sobre um registro do núcleo. O número de registros em cada tabela de dados de extensão é ilustrado abaixo.

Occurrence (core)
6144
dnaDerivedData 
6144
ExtendedMeasurementOrFact 
6144

This IPT archives the data and thus serves as the data repository. The data and resource metadata are available for download in the downloads section. The versions table lists other versions of the resource that have been made publicly available and allows tracking changes made to the resource over time.

Versões

A tabela abaixo mostra apenas versões de recursos que são publicamente acessíveis.

Como citar

Pesquisadores deveriam citar esta obra da seguinte maneira:

Rosling A, Furneaux B, Meidl P (2024). Soil fungal communities of ectomycorrhizal dominated woodlands across West Africa. Version 1.6. Biology Section, Uppsala University. Occurrence dataset. https://www.gbif.se/ipt/resource?r=ps155_westafrica_asv&v=1.6

Direitos

Pesquisadores devem respeitar a seguinte declaração de direitos:

O editor e o detentor dos direitos deste trabalho é Biology Section, Uppsala University. This work is licensed under a Creative Commons Attribution (CC-BY 4.0) License.

GBIF Registration

Este recurso foi registrado no GBIF e atribuído ao seguinte GBIF UUID: 26d7ac29-8e7e-4449-985b-2f12b6ec282f.  Biology Section, Uppsala University publica este recurso, e está registrado no GBIF como um publicador de dados aprovado por GBIF Sweden.

Palavras-chave

Occurrence; Observation

Contatos

Anna Rosling
  • Provedor Dos Metadados
  • Originador
  • Ponto De Contato
  • Associate Professor
Department of Ecology and Genetics, Uppsala University
  • Evolutionsbiologiskt centrum, Norbyvägen 18D
752 36 Uppsala
SE
  • +46184716444
Brendan Furneaux
  • Provedor Dos Metadados
  • Originador
  • PhD student
Department of Ecology and Genetics, Uppsala University
  • Evolutionsbiologiskt centrum, Norbyvägen 18D
752 36 Uppsala
SE
Peter Meidl
  • Provedor Dos Metadados
  • Originador
  • Master student
Department of Ecology and Genetics, Uppsala University
  • Evolutionsbiologiskt centrum, Norbyvägen 18D
752 36 Uppsala
SE
Kassim I. Tchan
  • Autor
  • PhD student
Research Unit in Tropical Mycology and Plant-Soil Fungi Interactions, LEB, University of Parakou,
Parakou
BJ
Marie-Laure Guissou
  • Autor
  • Professor
Université Norbert Zongo, Unité de Formation et de Recherches en Sciences et technologies.
BP 376 Koudougou
BF
Bakary Soro
  • Autor
  • Professor
Université Nangui Abrogoua, URF Sciences de la Nature, Laboratoire d’écologie et de Développement Durable,
Abidjan
CI
Aïssata Traoré
  • Autor
  • Professor
Institut d’Economie Rurale (IER)
  • Rue Mohammed V, Bozola
BP 258 Bamako,
Gbamon Konomou
  • Autor
  • Professor
Herbier National de Guinée / Université Gamal Abdel Nasser de Conakry
BP: 1147 Conakry,
GN
Nourou S. Yorou
  • Autor
  • Professor
Research Unit in Tropical Mycology and Plant-Soil Fungi Interactions, LEB, University of Parakou
Parakou
BJ
Martin Ryberg
  • Autor
  • Associate professor
Department of Organismal Biology, Systematic Biology, Uppsala University
  • Norbyvägen 18D
752 36 Uppsala
SE
Kerri Kluting
  • Autor
  • PhD student
Department of Ecology and Genetics, Evolutionary Biology, Uppsala University,
  • Norbyvägen 18D
752 36 Uppsala
SE

Cobertura Geográfica

A total of seven locations with nine sites were sampled: Kota Waterfall (KOTA-G and KOTA-W) in Benin, Kou Forest Reserve (KOUF-G) and Niangoloko Forest Reserve (NIAN-W) in Burkina Faso, Farako Forest Reserve (FA01-W and FA15-W) in Mali, Bissandougou Forest Reserve (BISS-W) and Moussaya Forest Reserve (MOUS-W) in Guinea and Kouadianikro Forest Reserve (KDNK-W) in Ivory Coast.

Coordenadas delimitadoras Sul Oeste [7,624, -10], Norte Leste [11,24, 2,725]

Cobertura Taxonômica

N/A

Reino Fungi
Filo Mortierellomycota, Entorrhizomycota, Mucoromycota, Glomeromycota, Ascomycota, Rozellomycota, Basidiomycota, Chytridiomycota
Class Geminibasidiomycetes, Rhizophydiomycetes, Paraglomeromycetes, Tremellomycetes, Atractiellomycetes, Mortierellomycetes, Microbotryomycetes, Glomeromycetes, Pezizomycotina_cls_Incertae_sedis, Dothideomycetes, Eurotiomycetes, Lecanoromycetes, Umbelopsidomycetes, Sordariomycetes, Saccharomycetes, Lobulomycetes, Geoglossomycetes, Mucoromycotina_cls_Incertae_sedis, Mucoromycetes, Rhizophlyctidomycetes, Archaeorhizomycetes, Agaricomycetes, Cystobasidiomycetes, Rozellomycotina_cls_Incertae_sedis, Pezizomycetes, Leotiomycetes, Orbiliomycetes
Ordem Gigasporales, GS23, Agaricomycetes_ord_Incertae_sedis, Auriculariales, Mucoromycotina_ord_Incertae_sedis, Leotiomycetes_ord_Incertae_sedis, Sordariales, Rhizophlyctidales, Orbiliales, Onygenales, Microascales, Jahnulales, Cystofilobasidiales, Sebacinales, Geminibasidiales, Corticiales, Geoglossales, Acrospermales, Mortierellales, Helotiales, Mucorales, Agaricales, GS11, Trechisporales, Geastrales, Pleosporales, Umbelopsidales, Pezizales, Glomerales, Polyporales, Sporidiobolales, Mycosphaerellales, Eurotiales, Capnodiales, Eurotiomycetes_ord_Incertae_sedis, Hymenochaetales, Xylariales, Lecanorales, Russulales, Atractiellales, Hypocreales, Botryosphaeriales, Tremellales, Chaetothyriales, Venturiales, Peltigerales, Muyocopronales, GS36, Mytilinidales, Tubeufiales, Magnaporthales, Thelephorales, Rhizophydiales, Lobulomycetales, Saccharomycetales, Boletales, Sakaguchiales, Archaeorhizomycetales, Paraglomerales, Cantharellales, Cystobasidiales, Dothideales, Diaporthales

Cobertura Temporal

Data Inicial / Data final 2018-06-22 / 2018-07-11

Dados Sobre o Projeto

Nenhuma descrição disponível

Título Soil fungal communities of ectomycorrhizal dominated woodlands across West Africa
Financiamento National Geographic Society as part of exploration grant #CP-126R-17 Bioinformatic analysis was possible thanks to the National Bioinformatics Infrastructure Sweden (NBIS) and enabled by resources provided by the Swedish Na- tional Infrastructure for Computing (SNIC), partially funded by the Swedish Research Council through grant agreement no. 2018-05973.
Descrição da Área de Estudo Field collections were carried out during June and July of 2018 in five West African countries: Benin, Burkina Faso, Mali, Guinea and Ivory Coast. A total of seven locations with nine sites were sampled: Kota Waterfall (KOTA-G and KOTA-W) in Benin, Kou Forest Reserve (KOUF-G) and Niangoloko Forest Reserve (NIAN-W) in Burkina Faso, Farako Forest Reserve (FA01-W and FA15-W) in Mali, Bissandougou Forest Reserve (BISS-W) and Mous- saya Forest Reserve (MOUS-W) in Guinea and Kouadianikro Forest Reserve (KDNK- W) in Ivory Coast
Descrição do Design Sites were selected op- portunistically from natural areas where ECM host trees were present, with relatively uniform vegetation and slope.

Métodos de Amostragem

Two soil samples were collected roughly one meter on either side of each selected tree, using a small sterilized spade to collect the top 5 cm of soil, after which the two samples were pooled and homogenized. A sub-sample of around 250 mg of soil was placed in a separate 2.0 ml tube containing 750 ml of field lysis and preservation buffer (Zymo Research Xpedition) and homogenized in the field using a portable bead beater, and was used for DNA extraction (Zymo Research Soil/Fecal DNA mini-prep). Approximately 1500 bp of the rDNA from soil DNA extracts was amplified using the primer set ITS1 and LR5. Both primers were indexed for multiplexing to allow pooling of the samples during sequencing. The pooled library was sent for sequencing at Uppsala Genome Center (Sweden) using two cells on a Sequel system (Pacific Biosciences, Menlo Park, CA, USA).

Área de Estudo Field collections were carried out during June and July of 2018 in five West African countries: Benin, Burkina Faso, Mali, Guinea and Ivory Coast. Sites were selected opportunistically from natural areas where Ectomycorrhizal (ECM) host trees were present, with relatively uniform vegetation and slope. In each plot, ten trees with Ectomycorrhizal (ECM) symbiosis were chosen in proportion to the relative abundance of ECM tree species in the plot, while ensuring that each species in the plot was represented at least once, and that all sampled trees were at least eight meters apart.

Descrição dos passos do método:

  1. Raw sequence reads were filtered and trimmed, and PacBio-type chimeras were detected and removed using the tool cutadapt. Amplicons sequenced in reverse were reverse complemented. Reads were filtered using DADA2, discarding sequences with more than 3 expected errors as well as those with a length outside the range of 1200–1800 bases. Filtered sequences were then denoised using DADA2, with complete pooling and an increased alignment band size of 32. Singleton ASVs are not included in DADA2 denoising output. De novo chimera detection and removal were also performed in DADA2, with a minimum parent overabundance of 3.5 and allowing detection of chimeras with a single base difference from their parent sequence.; https://doi.org/10.3897/mycokeys.81.66249"

Citações bibliográficas

  1. https://doi.org/10.3897/mycokeys.81.66249

Metadados Adicionais

Identificadores alternativos 26d7ac29-8e7e-4449-985b-2f12b6ec282f
https://www.gbif.se/ipt/resource?r=ps155_westafrica_asv