Advances in Agriculture and Biology, cilt.8, sa.1, ss.1-13, 2025 (Hakemli Dergi)
Abstract
Genetic differences are essential for the adaptability,
resilience, and evolutionary success of plant species.
Cinnamomum, a genus of commercial and therapeutic
significance, remains little studied at the genomic level. In
this study, we conducted a comprehensive RNA-Seq-based
single nucleotide polymorphism (SNP) analysis on six
transcriptome samples from C. camphora and C. verum,
aligned with the C. kanehirae reference genome. We
identified a total of 184,532 high-confidence SNPs,
comprising 410,247 missense SNPs and 397,053
synonymous SNPs, yielding a missense-to-synonymous
ratio of 1.03. Chromosome-wide analysis revealed that
chromosome QPKB01000001.1 contained the highest SNP
count (12,458 SNPs), whereas QPKB01000005.1 exhibited
the strongest population differentiation, with a mean FST
value of 0.342. A strong positive correlation (r = 0.79, p <
0.001) was observed between SNP density and
chromosomal length. Functional enrichment analysis
demonstrated that SNP-associated genes were significantly
enriched (FDR < 0.05) in metabolic processes, cellular
architecture, and regulatory pathways. KEGG annotation
linked SNPs to significant metabolic pathways, including
purine metabolism, phenylpropanoid biosynthesis (-
log10(p) > 5), and lignin biosynthesis. Analysis of linkage
disequilibrium (LD) decay showed that the mean r² value
dropped below 0.2 within approximately 50 kilobases,
indicating high recombination rates and low genome-wide
LD. The allele frequency spectrum revealed a
predominance of low-frequency variants (MAF < 0.1),
constituting over 60% of all SNPs, which suggests the
influence of genetic drift and recent population expansion.
Notably, over 20 genes exhibited an accumulation of more
than 50 missense SNPs, highlighting potential targets of
evolutionary selection. These results clarify the molecular
and evolutionary dynamics of Cinnamomum species and
provide a robust basis for additional research into plant
adaptation, genetic conservation, and trait-based selection
in non-model plant genomes.