Daisy Sotero Chacon, Laura Natalia Gonzalez-Garcia, Vitor Trinca, Alessandro M Varani, Romain Guyot, Douglas Silva Domingues
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引用次数: 0
Abstract
Biosynthetic gene clusters (BGCs) are important for plant specialized metabolism, but remain poorly characterized in coffee. Given Brazil's importance in coffee production, we performed a comparative genomic analysis of BGCs across the allotetraploid Coffea arabica and its diploid progenitors Coffea eugenioides and Coffea canephora. Using standardized genome filtering, annotation, orthogroup inference, and cluster classification, we identified 472 BGCs comprising 3118 biosynthetic genes, which were grouped into 194 cluster families and integrated with 28 280 orthogroups. Of these, 7091 orthogroups were shared across all species; Coffea canephora and subgenomes shared 10 923, while Coffea eugenioides and subgenomes shared 11 446. Most BGC-associated orthogroups (86.4%) link to a single pathway class. BGC-associated genes form a highly structured yet lineage-dynamic component of the Coffea pangenome. Coffea eugenioides and its derived subgenomes in Arabica contributed disproportionately to 14 BGC-associated orthogroups, including flavonoid-, lipid-, and stress-related functions. In contrast, Coffea canephora derivatives contributed only two terpene-related orthogroups. The parental species showed fewer secondary metabolism-related enriched Gene Ontology terms (3 and 1) than their subgenomes (53 and 56). Species-specific rearrangements, expansions, and subgenome retention indicate that hybridization and polyploidy shaped BGC diversification. These results advance understanding of specialized metabolism in Coffea and identify targets for coffee improvement and climate resilience.
期刊介绍:
Genome is a monthly journal, established in 1959, that publishes original research articles, reviews, mini-reviews, current opinions, and commentaries. Areas of interest include general genetics and genomics, cytogenetics, molecular and evolutionary genetics, developmental genetics, population genetics, phylogenomics, molecular identification, as well as emerging areas such as ecological, comparative, and functional genomics.