Xiao Y, Chen X, Yin Y, Zheng J, Yi H, Song L. Comparative genetic and epigenetic of the Sphagneticola trilobata (L.) Pruski from different regions in China.
BMC PLANT BIOLOGY 2023;
23:289. [PMID:
37254044 DOI:
10.1186/s12870-023-04277-w]
[Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Subscribe] [Scholar Register] [Received: 11/08/2022] [Accepted: 05/09/2023] [Indexed: 06/01/2023]
Abstract
BACKGROUND
Sphagneticola trilobata (L.) Pruski is a prevalent and widely distributed invasive plant in South China. To investigate the molecular mechanisms underlying its rapid adaptation, we employed DNA methylation-sensitive amplified polymorphism (MSAP) and simple sequence repeat (SSR) analysis to study 60 S. trilobata individuals collected from Fuzhou (FZ), Haikou (HK), Jinghong (JH) and Guangzhou (GZ).
RESULTS
In this study, we computed the Shannon diversity index (I) of SSR and MSAP as 0.354 and 0.303, respectively. The UPGMA phylogenetic tree and PCoA analyses showed that MSAP had a better discriminatory power to distinguish populations from different regions. Notably, the GZ population was found to be the most distinct from the other three populations. Moreover, Mantel analysis revealed a significantly higher correlation between epigenetic distance and geographic distance as compared to genetic distance and geographic distance. Consequently, the correlation between epigenetic distance and geographic distance observed to be markedly stronger than that between genetic distance and geographical distance on Mantel analysis.
CONCLUSIONS
The S. trilobata populations in various regions displayed a high of complementary genetic and epigenetic diversity, which was a key feature contributing to their rapid invasion. Interestingly, the correlation between epigenetics and geographical distance was significantly stronger than that observed for genetics and geographical distance. These findings indicated that the epigenetic mechanism of S. trilobar exhibited high plasticity, leading to significant differences in methylation pattern across different populations.
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