Back to the roots: Uncovering ectomycorrhizal communities across three major African vegetation types

Ectomycorrhizal fungi (EcM) are critical to the health and sustainability of many African ecosystems that include EcM-associated tree species. In Sub-Saharan Africa, three major EcM-dominated vegetation types can be distinguished: the Central African Guineo-Congolian rainforests, the West African Sudanian woodlands and the East African Zambezian Miombo woodlands. While the rainforests feature humid conditions with isolated patches of EcM trees amongst predominantly arbuscular mycorrhizal (AM) communities, the woodlands are characterised by drier soils and more vast continuous areas of EcM trees. We hypothesise that the isolation of EcM tree patches within the rainforest promotes a unique and potentially endemic EcM fungal community, while riparian forests found along rivers in woodland areas may serve as corridors, facilitating the spread of such rare taxa into woodland regions. In this study, we employ root tip metabarcoding combined with Species Hypothesis (SH) matching to characterise the EcM communities across these three vegetation types. Consistent with previous findings from fruit-body surveys and eDNA studies, our results show that <i>Russulaceae</i> is the most abundant EcM clade across all three regions. Other clades reveal greater discrepancy compared to their above-ground abundances, with notably high abundances of <i>Inocybaceae</i>, <i>Thelephoraceae</i> and <i>Sebacinaceae</i>, especially in woodlands. Conversely, <i>Amanitaceae</i> and <i>Boletaceae</i> appear under-represented. Both <i>Boletaceae</i> and <i>Elaphomycetaceae</i> are found to be more prevalent in rainforest and riparian zones, illustrating the unique EcM community of the Guineo-Congolian rainforest. Our findings highlight the corridor potential of riparian areas in facilitating the spread of these rainforest endemics. This suggests that local edaphic and climatic conditions can override broad spatial patterns, such as distance decay, in community structure of African EcM. Moreover, we suggest a stronger effect of EcM host specificity than previously suggested for African fungal communities. Lastly, we assess the level of species-level representation and accuracy of taxonomic annotation of SHs within African <i>Lactifluus</i>. We confirm it to be one of the most thoroughly described and collected fungal genera on the continent, with over 80% of identified SHs represented in our herbarium collections.

Authors

Institutions

Publication Details

Journal
IMA Fungus
Published
2025-05-29
DOI
https://doi.org/10.3897/imafungus.16.147055
Primary Topic
Mycorrhizal Fungi and Plant Interactions
Type
article
Field-Weighted Citation Impact
0.00

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Back to the roots: Uncovering ectomycorrhizal communities across three major African vegetation types

André-Ledoux Njouonkou, Glen Dierickx, Jorinde Nuytinck, Tatiana A. Semenova et al.
IMA Fungus
Mycorrhizal Fungi and Plant Interactions
article

Back to the roots: Uncovering ectomycorrhizal communities across three major African vegetation types

André-Ledoux Njouonkou, Glen Dierickx, Jorinde Nuytinck, Tatiana A. Semenova, Atsu Kudzo Guelly, József Geml, Eske De Crop, Annemieke Verbeken, Lowie Tondeleir
article en

Abstract

Ectomycorrhizal fungi (EcM) are critical to the health and sustainability of many African ecosystems that include EcM-associated tree species. In Sub-Saharan Africa, three major EcM-dominated vegetation types can be distinguished: the Central African Guineo-Congolian rainforests, the West African Sudanian woodlands and the East African Zambezian Miombo woodlands. While the rainforests feature humid conditions with isolated patches of EcM trees amongst predominantly arbuscular mycorrhizal (AM) communities, the woodlands are characterised by drier soils and more vast continuous areas of EcM trees. We hypothesise that the isolation of EcM tree patches within the rainforest promotes a unique and potentially endemic EcM fungal community, while riparian forests found along rivers in woodland areas may serve as corridors, facilitating the spread of such rare taxa into woodland regions. In this study, we employ root tip metabarcoding combined with Species Hypothesis (SH) matching to characterise the EcM communities across these three vegetation types. Consistent with previous findings from fruit-body surveys and eDNA studies, our results show that <i>Russulaceae</i> is the most abundant EcM clade across all three regions. Other clades reveal greater discrepancy compared to their above-ground abundances, with notably high abundances of <i>Inocybaceae</i>, <i>Thelephoraceae</i> and <i>Sebacinaceae</i>, especially in woodlands. Conversely, <i>Amanitaceae</i> and <i>Boletaceae</i> appear under-represented. Both <i>Boletaceae</i> and <i>Elaphomycetaceae</i> are found to be more prevalent in rainforest and riparian zones, illustrating the unique EcM community of the Guineo-Congolian rainforest. Our findings highlight the corridor potential of riparian areas in facilitating the spread of these rainforest endemics. This suggests that local edaphic and climatic conditions can override broad spatial patterns, such as distance decay, in community structure of African EcM. Moreover, we suggest a stronger effect of EcM host specificity than previously suggested for African fungal communities. Lastly, we assess the level of species-level representation and accuracy of taxonomic annotation of SHs within African <i>Lactifluus</i>. We confirm it to be one of the most thoroughly described and collected fungal genera on the continent, with over 80% of identified SHs represented in our herbarium collections.

IMA FungusVol. 16
Eszterhazy Karoly Catholic University (HU), Meise Botanic Garden (BE), Naturalis Biodiversity Center (NL), Research Institute for Nature and Forest (BE), University of Bamenda (CM), Ghent University Hospital (BE), University of Lomé (TG)
Fonds Wetenschappelijk Onderzoek, Universiteit Gent, Vlaamse regering, Bijzonder Onderzoeksfonds UGent
Openalex Percentile: Top 91%
Mycorrhizal Fungi and Plant Interactions
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.