ReviewToxins2015
Genetics, genomics and evolution of ergot alkaloid diversity.
Review in Toxins, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 47 papers.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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Who cites it
47 citing papers in PubMed, 103 citations in OpenAlex.
- Atlas of hypocrealean invertebrate-pathogenic fungi of Thailand.Studies in mycology · 2026Article
- Review
- The relationships among alkaloid concentration, endophyte mycelial concentration and host genetics in the tall fescue Epichloë symbiosis.BMC genomics · 2025Article
- Nematicidal and antifeedant activity of ethyl acetate extracts from culture filtrates of Arabidopsis thaliana fungal endophytes.Scientific reports · 2025Article
- Article
- Developing robust quantitative PCR primers for comparative biomass analysis of Tall Fescue (Festuca arundinacea) and its Epichloë endophyte.microPublication biology · 2024Article
- Host Genetic Background Effect on Vertical Seed Transmission of Epichloë Endophyte Strains in Tall Fescue.Microbial ecology · 2023Article
- Two Satellite Gene Clusters Enhance Ergot Alkaloid Biosynthesis Capacity of AspergillusApplied and environmental microbiology · 2023Article
- Indole Alkaloids from Psychoactive Mushrooms: Chemical and Pharmacological Potential as Psychotherapeutic Agents.Biomedicines · 2023Review
- Article
- Leaf Mycobiome and Mycotoxin Profile of Warm-Season Grasses Structured by Plant Species, Geography, and Apparent Black-Stroma Fungal Structure.Applied and environmental microbiology · 2022Article
- Identification of ThreeJournal of fungi (Basel, Switzerland) · 2022Article
- Efficient genome editing inSynthetic and systems biotechnology · 2022Article
- The effect ofiScience · 2022Article
- Construction of an efficientFrontiers in bioengineering and biotechnology · 2022Article
- Evolution of the Ergot Alkaloid Biosynthetic Gene Cluster Results in Divergent Mycotoxin Profiles inToxins · 2021Article
- New species inFungal systematics and evolution · 2021Article
- Article
- Interaction between Grasses andMicroorganisms · 2021Review
- Crude Extracts and Alkaloids Derived fromInsects · 2021Article
Corrections and comments
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Authors and funding
9 authors at 3 institutions in 1 country.
Funding
Abstract
The ergot alkaloid biosynthesis system has become an excellent model to study evolutionary diversification of specialized (secondary) metabolites. This is a very diverse class of alkaloids with various neurotropic activities, produced by fungi in several orders of the phylum Ascomycota, including plant pathogens and protective plant symbionts in the family Clavicipitaceae. Results of comparative genomics and phylogenomic analyses reveal multiple examples of three evolutionary processes that have generated ergot-alkaloid diversity: gene gains, gene losses, and gene sequence changes that have led to altered substrates or product specificities of the enzymes that they encode (neofunctionalization). The chromosome ends appear to be particularly effective engines for gene gains, losses and rearrangements, but not necessarily for neofunctionalization. Changes in gene expression could lead to accumulation of various pathway intermediates and affect levels of different ergot alkaloids. Genetic alterations associated with interspecific hybrids of Epichloë species suggest that such variation is also selectively favored. The huge structural diversity of ergot alkaloids probably represents adaptations to a wide variety of ecological situations by affecting the biological spectra and mechanisms of defense against herbivores, as evidenced by the diverse pharmacological effects of ergot alkaloids used in medicine.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.