ArticleMycorrhiza2024
An updated LSU database and pipeline for environmental DNA identification of arbuscular mycorrhizal fungi.
Article in Mycorrhiza, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.
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Who cites it
7 citing papers in PubMed.
- Host plant phylogeny predicts arbuscular mycorrhizal fungal communities, but plant life history and fungal genetic change predict feedback.PLoS biology · 2026Article
- From Sampling to Identification of Arbuscular Mycorrhizal Fungi Through Next Generation Sequencing.Methods in molecular biology (Clifton, N.J.) · 2026Article
- The biogeography of soil and airborne fungi in the Southwestern USA in relation to climate and vegetation.ISME communications · 2026Article
- Diversity of Arbuscular Mycorrhizal Fungi in Rhizosphere Soil of Maize in Northern Xinjiang, China, and Evaluation of Inoculation Benefits of Three Strains.Journal of fungi (Basel, Switzerland) · 2025Article
- Article
- TraitAM, a global spore trait database for arbuscular mycorrhizal fungi.Scientific data · 2025Article
- Uncovering Diversity within the Glomeromycota: Novel Clades, Family Distributions, and Land Use Sensitivity.Ecology and evolution · 2025Article
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Authors and funding
4 authors.
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Abstract
Recent work established a backbone reference tree and phylogenetic placement pipeline for identification of arbuscular mycorrhizal fungal (AMF) large subunit (LSU) rDNA environmental sequences. Our previously published pipeline allowed any environmental sequence to be identified as putative AMF or within one of the major families. Despite this contribution, difficulties in implementation of the pipeline remain. Here, we present an updated database and pipeline with (1) an expanded backbone tree to include four newly described genera and (2) several changes to improve ease and consistency of implementation. In particular, packages required for the pipeline are now installed as a single folder (conda environment) and the pipeline has been tested across three university computing clusters. This updated backbone tree and pipeline will enable broadened adoption by the community, advancing our understanding of these ubiquitous and ecologically important fungi.
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