Yeastract+

Yeastract+ provides a curated repository of transcription factor–target regulatory associations and comparative genomics-based orthologous regulatory predictions across multiple yeast species.

Key Features:

• Curated regulatory associations: Contains documented regulatory associations between transcription factors (TFs) and target genes across Saccharomyces and non-Saccharomyces yeast species.
• N.C.Yeastract component: Aggregates published regulatory associations and TF-binding sites for Komagataella phaffii (formerly Pichia pastoris), Yarrowia lipolytica, Kluyveromyces lactis, Kluyveromyces marxianus, and Zygosaccharomyces bailii (http://yeastract-plus.org/ncyeastract/).
• Inference of orthologous genes: Infers orthologous genes across yeast species to transfer regulatory information from well-characterized organisms to less-characterized ones.
• TF binding site search: Searches target genomes for putative transcription factor binding sites to identify regulatory elements.
• Inter-species regulatory network comparison: Enables comparative analysis and prediction of transcriptional regulatory networks across species based on documented associations.

Scientific Applications:

• Functional inference in non-conventional yeasts: Uses orthology and curated associations to predict gene functions and regulatory interactions in Komagataella phaffii, Yarrowia lipolytica, Kluyveromyces lactis, Kluyveromyces marxianus, and Zygosaccharomyces bailii.
• Regulatory element identification: Identifies putative TF binding sites to study mechanisms of gene expression control.
• Comparative regulatory evolution: Enables exploration of conservation and divergence of transcriptional regulation across yeast species.
• Biotechnological research support: Provides regulatory data applicable to industrially relevant yeast species for biotechnology and fermentation studies.

Methodology:

Derives orthologous regulatory associations via comparative genomics, aggregates published TF–target associations and TF-binding sites, infers orthologous genes, searches genomes for putative TF binding sites, and predicts TF-regulated networks from documented associations.