ArticleStudies in mycology2018
The gold-standard genome of
Article in Studies in mycology, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 46 papers.
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Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
46 citing papers in PubMed, 108 citations in OpenAlex.
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- An examination of the quinic acid utilization genes in Aspergillus niger reveals the involvement of 2 pH-dependent permeases.G3 (Bethesda, Md.) · 2025Article
- Global survey of secondary metabolism inPNAS nexus · 2025Article
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- Whole genome sequence, CAZyme repertoire and sugar metabolic model of the phytopathogenic fungus Kretzschmaria zonata GFP 132.Molecular genetics and genomics : MGG · 2025Article
- Metabolic engineering reveals the relative importance of different sugar catabolic pathways during consumption of plant biomass byCurrent research in microbial sciences · 2025Article
- Relative contribution of three transporters to D-xylose uptake inAIMS microbiology · 2025Article
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- Compatible solutes determine the heat resistance of conidia.Fungal biology and biotechnology · 2023Article
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- Transcriptome Metabolic Characterization ofInternational journal of molecular sciences · 2023Article
- Reconciliation and evolution of Penicillium rubens genome-scale metabolic networks-What about specialised metabolism?PloS one · 2023Article
- Functional analysis ofFrontiers in plant science · 2023Article
- The Sugar Metabolic Model ofJournal of fungi (Basel, Switzerland) · 2022Article
- Enzyme activity of Aspergillus section Nigri strains isolated from the Korean fermentation starter, nuruk.Journal of microbiology (Seoul, Korea) · 2022Article
- Towards Understanding the Function of Aegerolysins.Toxins · 2022Review
Corrections and comments
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Authors and funding
14 authors at 4 institutions in 4 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
The fungal kingdom is too large to be discovered exclusively by classical genetics. The access to omics data opens a new opportunity to study the diversity within the fungal kingdom and how adaptation to new environments shapes fungal metabolism. Genomes are the foundation of modern science but their quality is crucial when analysing omics data. In this study, we demonstrate how one gold-standard genome can improve functional prediction across closely related species to be able to identify key enzymes, reactions and pathways with the focus on primary carbon metabolism. Based on this approach we identified alternative genes encoding various steps of the different sugar catabolic pathways, and as such provided leads for functional studies into this topic. We also revealed significant diversity with respect to genome content, although this did not always correlate to the ability of the species to use the corresponding sugar as a carbon source.
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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.