CoExpPhylo - a novel pipeline for biosynthesis gene discovery

Area of Science:

• Plant genomics and transcriptomics
• Computational biology
• Metabolic pathway analysis

Background:

• Sequencing technologies generate vast plant genomic data, necessitating functional interpretation.
• Identifying genes in specialized plant metabolism is challenging.
• Coexpression analysis has limitations in distinguishing direct pathway genes from co-regulated genes.

Purpose of the Study:

• To introduce CoExpPhylo, a pipeline combining coexpression and phylogenetics for gene discovery.
• To enhance functional predictions of genes in plant specialized biosynthetic pathways.
• To identify candidate genes across multiple species using bait genes.

Main Methods:

• Species-specific coexpression analysis
• Ortholog identification via local sequence alignment
• Clustering into Orthologous Coexpressed Groups (OCGs)
• Phylogenetic tree generation
• Customizable workflow parameters

Main Results:

• CoExpPhylo successfully identified known genes in anthocyanin, proanthocyanidin, flavonol, lutein, and zeaxanthin biosynthesis.
• The pipeline identified novel candidate genes for these pathways.
• Benchmarking confirmed the pipeline's ability to recover genes and suggest new ones.

Conclusions:

• CoExpPhylo offers a systematic framework for identifying specialized metabolism genes.
• Integration of coexpression and phylogenetic clustering aids in discovering conserved and lineage-specific genes.
• OCGs provide a basis for experimental validation, advancing plant pathway elucidation.