ArticleMicrobiome2017
Novel soil-inhabiting clades fill gaps in the fungal tree of life.
Article in Microbiome, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 79 papers.
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Who cites it
79 citing papers in PubMed.
- Drivers of Soil Community Composition in Apple Orchards: Insights From Environmental Metabarcoding.Environmental microbiology reports · 2026Article
- Exploring the diversity and community structure of the Testudines fecal mycobiome.bioRxiv : the preprint server for biology · 2026Article
- Richness and Composition of Mycorrhizal Fungi Varies by Flood Level and River Basin in Oligotrophic Amazonian Seasonally Flooded Forests.Ecology and evolution · 2026Article
- Soil Microbial Diversity in Páramos Wetland of the Colombian Andes Reveals Novel and Unique Features Within a Global Wetland Database.Microbial ecology · 2026Article
- Article
- Another dark taxon comes to light:IMA fungus · 2026Article
- Taxonomy and phylogeny ofMycoKeys · 2026Article
- Mycobiomes of Six Lichen Species from the Russian Subarctic: A Culture-Independent Analysis and Cultivation Study.Journal of fungi (Basel, Switzerland) · 2025Article
- Non-Dikarya Fungal Clades Are Everywhere: What 18S rRNA Gene Metabarcoding Reveals About Cross-System Distribution of Fungi.Microbial ecology · 2025Article
- Mechanistic insights into yield enhancement of Chimonobambusa opienensis bamboo shoots driven by organic fertilizer combined with Azotobacter Chroococcum via soil nutrient-microbe-metabolite interactions.BMC plant biology · 2025Article
- Temporal and spatial dynamics of microbial communities and greenhouse gas flux responses to experimental flooding in riparian forest soils.FEMS microbiology ecology · 2025Article
- Beyond dikarya: 28S metabarcoding uncovers cryptic fungal lineages across a tidal estuary.Environmental microbiome · 2025Article
- Plant species and soil moisture shape rhizosphere microbiota in an unusually productive tundra ecosystem of North Greenland.Environmental microbiome · 2025Article
- Why Are Long-Read Sequencing Methods Revolutionizing Microbiome Analysis?Microorganisms · 2025Review
- Farming System and Nematodes Affect the Rhizosphere Microbiome of Tropical Banana Plants.Environmental microbiology reports · 2025Article
- Unexpected microbial diversity in new Caledonia's ultramafic ecosystems with conservation implications in a biodiversity hotspot.Scientific reports · 2025Article
- Exploring Environmental Microfungal Diversity Through Serial Single Cell Screening.Molecular ecology resources · 2025Article
- Thirty novel fungal lineages: formal description based on environmental samples and DNA.MycoKeys · 2025Article
- Genomics in plant pathogen identification and control.Frontiers in plant science · 2025Review
- Increasing Ages ofMicroorganisms · 2024Article
19 more citing papers are in PubMed but not listed here.
Corrections and comments
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Authors and funding
5 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundFungi are a diverse eukaryotic group of degraders, pathogens, and symbionts, with many lineages known only from DNA sequences in soil, sediments, air, and water.
resultsWe provide rough phylogenetic placement and principal niche analysis for >40 previously unrecognized fungal groups at the order and class level from global soil samples based on combined 18S (nSSU) and 28S (nLSU) rRNA gene sequences. Especially, Rozellomycota (Cryptomycota), Zygomycota s.lat, Ascomycota, and Basidiomycota are rich in novel fungal lineages, most of which exhibit distinct preferences for climate and soil pH.
conclusionsThis study uncovers the great phylogenetic richness of previously unrecognized order- to phylum-level fungal lineages. Most of these rare groups are distributed in different ecosystems of the world but exhibit distinct ecological preferences for climate or soil pH. Across the fungal kingdom, tropical and non-tropical habitats are equally likely to harbor novel groups. We advocate that a combination of traditional and high-throughput sequencing methods enable efficient recovery and phylogenetic placement of such unknown taxonomic groups.
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