Fungal Diversity, Journal Year: 2024, Volume and Issue: 126(1), P. 127 - 406
Published: July 9, 2024
Language: Английский
Fungal Diversity, Journal Year: 2024, Volume and Issue: 126(1), P. 127 - 406
Published: July 9, 2024
Language: Английский
Fungal Diversity, Journal Year: 2020, Volume and Issue: 105(1), P. 1 - 16
Published: Nov. 1, 2020
Language: Английский
Citations
713Mycosphere, Journal Year: 2022, Volume and Issue: 13(1), P. 53 - 453
Published: Jan. 1, 2022
This paper provides an updated classification of the Kingdom Fungi (including fossil fungi) and fungus-like taxa.Five-hundred twenty-three (535) notes are provided for newly introduced taxa changes that have been made since previous outline.In discussion, latest taxonomic in Basidiomycota Mycosphaerellales broadly discussed.Genera listed Mycosphaerellaceae confirmed by DNA sequence analyses, while doubtful genera (DNA sequences being unavailable but traditionally accommodated Mycosphaerellaceae) discussion.Problematic Glomeromycota also discussed based on phylogenetic results.
Language: Английский
Citations
413IMA Fungus, Journal Year: 2020, Volume and Issue: 11(1)
Published: July 10, 2020
True fungi (Fungi) and fungus-like organisms (e.g. Mycetozoa, Oomycota) constitute the second largest group of based on global richness estimates, with around 3 million predicted species. Compared to plants animals, have simple body plans often morphologically ecologically obscure structures. This poses challenges for accurate precise identifications. Here we provide a conceptual framework identification fungi, encouraging approach integrative (polyphasic) taxonomy species delimitation, i.e. combination genealogy (phylogeny), phenotype (including autecology), reproductive biology (when feasible). allows objective evaluation diagnostic characters, either phenotypic or molecular both. Verification identifications is crucial but neglected. Because clade-specific evolutionary histories, there currently no single tool although DNA barcoding using internal transcribed spacer (ITS) remains first diagnosis, particularly in metabarcoding studies. Secondary barcodes are increasingly implemented groups where ITS does not sufficient precision. Issues pairwise sequence similarity-based OTU clustering discussed, multiple alignment-based phylogenetic approaches subsequent verification recommended as more alternatives. In approaches, trade-off between speed accuracy precision must be carefully considered. Intragenomic variation other markers should properly documented, phylotype diversity necessarily proxy richness. Important strategies improve are: (1) broadly document intraspecific intragenomic markers; (2) substantially expand repositories, focusing undersampled clades missing taxa; (3) curation labels primary repositories increase number sequences verified material; (4) link data digital information voucher specimens including imagery. parallel, technological improvements genome sequencing offer promising alternatives future. Despite prevalence DNA-based fungal taxonomy, phenotype-based remain an important strategy catalog establish initial hypotheses.
Language: Английский
Citations
404Global Ecology and Biogeography, Journal Year: 2022, Volume and Issue: 31(6), P. 1120 - 1132
Published: March 14, 2022
Abstract Aim Organisms on our planet form spatially congruent and functionally distinct communities, which at large geographical scales are called “biomes”. Understanding their pattern function is vital for sustainable use protection of biodiversity. Current global terrestrial biome classifications based primarily climate characteristics functional aspects plant community assembly. These other existing schemes do not take account soil organisms, including highly diverse important microbial groups. We aimed to define large‐scale structure in the diversity microbes (soil microbiomes), pinpoint environmental drivers shaping it identify resemblance mismatch with schemes. Location Global. Time period Current. Major taxa studied Soil eukaryotes prokaryotes. Methods collected samples from natural environments world‐wide, incorporating most known biomes. used high‐throughput sequencing characterize biotic communities k ‐means clustering microbiomes describing eukaryotic prokaryotic climatic data variables measured field microbiome structure. Results recorded strong correlations among fungal, bacterial, archaeal, animal defined a system (producing seven types six prokaryotes) showed that these typically structured by pH alongside temperature. None directly paralleled any current scheme, substantial prokaryotes cold climates; nor they consistently distinguish grassland forest ecosystems. Main conclusions Existing represent limited surrogate patterns organisms. show empirically attainable using metabarcoding statistical approaches suggest can have wide application theoretical applied biodiversity research.
Language: Английский
Citations
380Current Biology, Journal Year: 2021, Volume and Issue: 31(8), P. 1653 - 1665.e5
Published: Feb. 19, 2021
Language: Английский
Citations
263Science Advances, Journal Year: 2021, Volume and Issue: 7(34)
Published: Aug. 20, 2021
Considering agroecosystem multifunctionality is essential for designing sustainable cropping systems.
Language: Английский
Citations
216Fungal Diversity, Journal Year: 2020, Volume and Issue: 103(1), P. 219 - 271
Published: July 1, 2020
Language: Английский
Citations
188Frontiers in Microbiology, Journal Year: 2020, Volume and Issue: 11
Published: Sept. 4, 2020
Soil microbiome has a pivotal role in ecosystem functioning, yet little is known about its build-up from local to regional scales. In multi-year regional-scale survey involving 1251 plots and long-read third-generation sequencing, we found that soil pH the strongest effect on diversity of fungi multiple taxonomic functional groups. The effects were typically unimodal, usually both direct indirect through tree species, nutrients or mold abundance. Individual particularly Pinus sylvestris, Picea abies, Populus x wettsteinii, overall ectomycorrhizal plant proportion had relatively stronger biotrophic than saprotrophic fungi. We strong temporal sampling investigator biases for abundance molds, but generally all spatial, microclimatic weak. Richness several groups was highest woodlands around ruins buildings lowest bogs, with marked group-specific trends. contrast our expectations, tended be higher forest island habitats potentially due edge effect, fungal richness declined distance response fragmentation. Virgin forests supported somewhat old non-pristine forests, there no differences between natural anthropogenic such as parks coppiced gardens. Diversity most suffered management seminatural thinning especially results depended group time since partial harvesting. conclude positive represent combined niche properties intimate associations.
Language: Английский
Citations
186Nature Microbiology, Journal Year: 2021, Volume and Issue: 6(5), P. 540 - 548
Published: April 26, 2021
Language: Английский
Citations
178Nature Microbiology, Journal Year: 2022, Volume and Issue: 7(5), P. 607 - 619
Published: May 4, 2022
Fungal pathogens cause more than a billion human infections every year, resulting in 1.6 million deaths annually. Understanding the natural history and evolutionary ecology of fungi is helping us understand how disease-relevant traits have repeatedly evolved. Different types mechanisms genetic variation contributed to evolution fungal pathogenicity specific differences distinguish from non-pathogens. Insights into traits, elements, ecological that contribute are crucial for developing strategies both predict emergence develop drugs combat them.
Language: Английский
Citations
160