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The Sordariomycetes: an expanding resource with Big Data for mining in evolutionary genomics and transcriptomics
Zheng Wang1, Wonyong Kim2, Yen-Wen Wang1
1Department of Biostatistics, Yale School of Public Health, New Haven, CT, United States.
Genomics and transcriptomics reveal fungal evolution. The Sordariomycetes class, with extensive omics data, offers a model for studying trait diversity and expanding evolutionary genomics in the era of Big Data.
Area of Science:
- Fungal evolutionary genomics
- Systems biology
- Genomics and transcriptomics
Background:
- Omics data and technological advances have transformed fungal model systems.
- The Sordariomycetes class is rich in species, ecologically diverse, and economically important, with a strong research history.
- Over 3,574 Sordariomycetes species are sequenced, representing a significant portion of available ascomycete genomes.
Purpose of the Study:
- To review recent studies on Sordariomycetes, integrating genetic and biological data for novel insights into fungal evolution.
- To explore how multispecies investigations address limitations of studies based on limited model genomes.
- To propose the Sordariomycetes as a core omics clade for advancing genomic-scale evolution studies.
Main Methods:
- Integrative analyses of genetic, pathogenic, and biological characteristics within Sordariomycetes.
- Ancestral state analysis of gene expression across divergent lineages.
- Systems biological analysis of Big Data from omics datasets.
Main Results:
- Studies have inferred regulatory network models and identified key genetic elements in fungal sexual development.
- Investigated the regulation of conidial germination and secondary metabolism using omics data.
- Demonstrated the value of multispecies investigations for understanding fungal evolutionary genomics.
Conclusions:
- The Sordariomycetes class provides a robust framework for expanding the concept of model systems beyond single species.
- Abundant omics data and a strong research community position Sordariomycetes as a blueprint for future evolutionary studies.
- This approach facilitates the study of trait diversity and evolution across fungal lineages in the Big Data era.
Related Concept Videos
Fungal Group Zygomycota
Fungal Phylum Basidiomycota
Applications of Molecular Taxonomy
Fungal Phylum Ascomycota
Fungal Phylum Microsporidia
Evolutionary Relationships through Genome Comparisons

