Introduction: S-adenosylmethionine (SAM), a key molecule in plant biology, plays an essential role in stress response and growth regulation. Despite its importance, the SAM synthetase gene family in sunflowers remains poorly understood.

Methods: In this study, the genes were identified from the sunflower genome. Subsequently, the protein properties, gene structure, chromosomal location, cis-acting elements, collinearity, and phylogeny of the SAMS gene family were analyzed by bioinformatic methods. Finally, the expression patterns of genes in different tissues, under different hormonal treatment and abiotic stress were analyzed based on transcriptome data and qRT-PCR.

Results: This study identified 58 SAMS genes across nine cultivated sunflower species, which were phylogenetically classified into seven distinct subgroups. Physicochemical properties and gene structure analysis showed that the genes are tightly conserved between cultivars. Collinearity analysis revealed segmental duplications as the primary driver of gene family expansion. The codon usage bias analysis suggested that natural selection substantially shapes the codon usage patterns of sunflower genes, with a bias for G/C-ending high-frequency codons, particularly encoding glycine, leucine, and arginine. Analysis of the cis-regulatory elements in promoter regions, implied their potential roles in stress responsiveness. Differential expression patterns for HanSAMS genes were observed in different tissues as well as under hormone treatment or abiotic stress conditions by analyzing RNA-seq data from previous studies and qRT-PCR data in our current study. The majority of genes demonstrated a robust response to BRA and IAA treatments in leaf tissues, with no significant expression change observed in roots, suggesting the response of genes to hormones is tissue-specific. Expression analyses under abiotic stresses demonstrated diverse expression profiles of genes, with showing significant upregulation in response to both drought and salt stresses.

Discussion: This comprehensive genomic and expression analysis provides valuable insights into the gene family in sunflowers, laying a robust foundation for future functional studies and applications in crop improvement for stress resilience.

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Source
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC11598334PMC
http://dx.doi.org/10.3389/fpls.2024.1499024DOI Listing

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