
You have already added 0 works in your ORCID record related to the merged Research product.
You have already added 0 works in your ORCID record related to the merged Research product.
<script type="text/javascript">
<!--
document.write('<div id="oa_widget"></div>');
document.write('<script type="text/javascript" src="https://beta.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=undefined&type=result"></script>');
-->
</script>
Lost in diversity: the interactions between soil‐borne fungi, biodiversity and plant productivity

Lost in diversity: the interactions between soil‐borne fungi, biodiversity and plant productivity
Summary There is consensus that plant species richness enhances plant productivity within natural grasslands, but the underlying drivers remain debated. Recently, differential accumulation of soil‐borne fungal pathogens across the plant diversity gradient has been proposed as a cause of this pattern. However, the below‐ground environment has generally been treated as a ‘black box’ in biodiversity experiments, leaving these fungi unidentified. Using next generation sequencing and pathogenicity assays, we analysed the community composition of root‐associated fungi from a biodiversity experiment to examine if evidence exists for host specificity and negative density dependence in the interplay between soil‐borne fungi, plant diversity and productivity. Plant species were colonised by distinct (pathogenic) fungal communities and isolated fungal species showed negative, species‐specific effects on plant growth. Moreover, 57% of the pathogenic fungal operational taxonomic units (OTUs) recorded in plant monocultures were not detected in eight plant species plots, suggesting a loss of pathogenic OTUs with plant diversity. Our work provides strong evidence for host specificity and negative density‐dependent effects of root‐associated fungi on plant species in grasslands. Our work substantiates the hypothesis that fungal root pathogens are an important driver of biodiversity‐ecosystem functioning relationships.
- University of Salford United Kingdom
- Radboud University Nijmegen Netherlands
- Radboud University Nijmegen Netherlands
- Wageningen University & Research Netherlands
- Royal Netherlands Academy of Arts and Sciences (KNAW) Netherlands
570, QH301 Biology, Plant Roots/genetics, root distribution, Plant Development, Plant Ecology and Nature Conservation, Models, Biological, Plant Roots, Fungi/pathogenicity, BIOS Applied Bioinformatics, Species Specificity, Plants/microbiology, host specificity, Biomass, Soil Microbiology, 580, WIMEK, Plant Ecology, Research, Fungi, neighbour identity, Biodiversity, Plants, PE&RC, Natuurbeheer en Plantenecologie, root-associated fungi, density dependence, fungal community composition, international, PRI BIOS Applied Bioinformatics, Host-Pathogen Interactions, Plantenecologie en Natuurbeheer, Nature Conservation and Plant Ecology, GE Environmental Sciences
570, QH301 Biology, Plant Roots/genetics, root distribution, Plant Development, Plant Ecology and Nature Conservation, Models, Biological, Plant Roots, Fungi/pathogenicity, BIOS Applied Bioinformatics, Species Specificity, Plants/microbiology, host specificity, Biomass, Soil Microbiology, 580, WIMEK, Plant Ecology, Research, Fungi, neighbour identity, Biodiversity, Plants, PE&RC, Natuurbeheer en Plantenecologie, root-associated fungi, density dependence, fungal community composition, international, PRI BIOS Applied Bioinformatics, Host-Pathogen Interactions, Plantenecologie en Natuurbeheer, Nature Conservation and Plant Ecology, GE Environmental Sciences
6 Research products, page 1 of 1
- 2018IsAmongTopNSimilarDocuments
- 2018IsAmongTopNSimilarDocuments
- 2019IsAmongTopNSimilarDocuments
- 2020IsAmongTopNSimilarDocuments
citations This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).189 popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.Top 1% influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).Top 10% impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.Top 1%
