Soil fungal communities of ectomycorrhizal dominated woodlands across West Africa

出現紀錄
最新版本 published by Biology Section, Uppsala University on 6月 13, 2024 Biology Section, Uppsala University
發布日期:
2024年6月13日
授權條款:
CC-BY 4.0

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說明

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/).

資料紀錄

此資源出現紀錄的資料已發佈為達爾文核心集檔案(DwC-A),其以一或多組資料表構成分享生物多樣性資料的標準格式。 核心資料表包含 6,144 筆紀錄。

亦存在 2 筆延伸集的資料表。延伸集中的紀錄補充核心集中紀錄的額外資訊。 每個延伸集資料表中資料筆數顯示如下。

Occurrence (核心)
6144
dnaDerivedData 
6144
ExtendedMeasurementOrFact 
6144

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版本

以下的表格只顯示可公開存取資源的已發布版本。

如何引用

研究者應依照以下指示引用此資源。:

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

權利

研究者應尊重以下權利聲明。:

此資料的發布者及權利單位為 Biology Section, Uppsala University。 This work is licensed under a Creative Commons Attribution (CC-BY 4.0) License.

GBIF 註冊

此資源已向GBIF註冊,並指定以下之GBIF UUID: 26d7ac29-8e7e-4449-985b-2f12b6ec282f。  Biology Section, Uppsala University 發佈此資源,並經由GBIF Sweden同意向GBIF註冊成為資料發佈者。

關鍵字

Occurrence; Observation

聯絡資訊

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

地理涵蓋範圍

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.

界定座標範圍 緯度南界 經度西界 [7.624, -10], 緯度北界 經度東界 [11.24, 2.725]

分類群涵蓋範圍

N/A

Kingdom Fungi
Phylum 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
Order 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

時間涵蓋範圍

起始日期 / 結束日期 2018-06-22 / 2018-07-11

計畫資料

無相關描述

計畫名稱 Soil fungal communities of ectomycorrhizal dominated woodlands across West Africa
經費來源 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.
研究區域描述 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
研究設計描述 Sites were selected op- portunistically from natural areas where ECM host trees were present, with relatively uniform vegetation and slope.

取樣方法

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).

研究範圍 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.

方法步驟描述:

  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"

引用文獻

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

額外的詮釋資料

替代的識別碼 26d7ac29-8e7e-4449-985b-2f12b6ec282f
https://www.gbif.se/ipt/resource?r=ps155_westafrica_asv