CTGA: A Web-Based Functional Genomic Resource for Cy-Amopsis Tetragonoloba

Guar (Cyamopsis tetragonoloba), an industrially important crop, is valued for the galactomannan gum derived from its seeds. Recent advances in genomic and transcriptomic research have provided valuable resources such as the reference genome and several sets of gene expression profiles. However, these data are currently fragmented and therefore require bioinformatics expertise to access and analyze them. To address this challenge, we have developed CTGA, a comprehensive functional genomic database for guar that is accessible through a web interface. We have performed a de novo structural and functional annotation of the guar genome using the BRAKER2 software, predicting 57,019 protein-coding genes with UTRs. We have integrated expression data from 85 public RNA-seq libraries representing various tissues and conditions to create a normalized gene expression atlas. This atlas provides a comprehensive view of gene expression patterns across different tissues and conditions in guar, allowing for a better understanding of its biology and potential applications. Our resource features an intuitive web interface that uses the Flask framework to provide interactive tools, including a genome browser (IGV) and a BLAST for homology searching. It also includes detailed functional annotations from various sources (eggNOG, Mercator4, GO, and KEGG) and instant visualization of gene expression profiles. CTGA integrates genomic and transcriptomic data into a user-friendly platform, removing technical barriers and enabling researchers to accelerate gene discovery and molecular breeding in guar. The resource is freely accessible at https://guar.arriam.ru/.