MYB transcription factors are pivotal regulators of plant cold acclimation, yet current knowledge about cold-tolerance-related MYBs (crMYBs) remains fragmented across species, with their phylogenetic relationships, regulatory mechanisms, and functional divergence poorly integrated. This review synthesizes functionally validated crMYBs within a phylogenetic framework to provide an updated perspective on their regulatory roles in plant cold acclimation. We curated 106 experimentally validated crMYBs from 45 plant species and systematically characterized their subfamily distribution, regulatory polarity, pathway associations, validation strategies, and cross-species functional patterns. R2R3-MYBs constitute the majority of characterized crMYBs, whereas 1R-MYBs and 3R-MYBs remain underrepresented despite their established links to circadian regulation, cell-cycle control, and stress adaptation. Comparative analyses further indicate that orthologous MYBs retain conserved functions or undergo functional divergence across species. Current evidence implicates crMYBs in multiple regulatory layers of cold acclimation, including ABA-associated responses, CBF/COR-related transcriptional regulation, hormonal crosstalk, osmoprotectant accumulation, phenylpropanoid metabolism, cuticular wax biosynthesis, post-translational modifications, and chromatin-level regulation. Characterization of underexplored 1R-MYB and 3R-MYB members, phylogeny-guided cross-species functional validation, clarification of the mechanisms underlying regulatory polarity divergence, and evaluation of MYB functions under combined stress conditions would contribute substantially to a more comprehensive understanding of plant cold resilience.
Hao Zhang, Yao Yao, Binglu Liu et al.· Physiology and Molecular Bio...· 0 citations
Polycystic Ovary Syndrome (PCOS) is a prevalent endocrine disorder that negatively impacts women’s reproductive and metabolic health, leading to complications such as irregular menstruation, infertility, obesity, and metabolic syndrome. Current diagnostic methods, which primarily rely on clinical symptoms and hormone levels, lack specificity in early detection. This study aimed to identify lactylation-related transcriptional signatures as candidate biomarkers for the early detection of PCOS.
We conducted a comprehensive bioinformatic analysis using transcriptomic data from granulosa cells of PCOS patients in the GEO database. Patients were categorized into two molecular subtypes via consensus clustering based on the expression of lactylation-related genes. Subsequently, diagnostic models were constructed and validated to evaluate the potential of these transcriptional signatures as early diagnostic markers. External validation was performed using an independent dataset, and selected candidate genes were further examined in DHEA-treated KGN cells.
We identified nine key genes (HK3, SDC3, TGFBI, ZYX, LSP1, HMGA1, LCP1, B3GAT1, and ZNF280C) that were significantly differentially expressed in PCOS granulosa cell transcriptomic datasets. Pathway enrichment analyses revealed their involvement in energy metabolism, cell proliferation and apoptosis, which highlights their potential roles in PCOS pathogenesis. A random forest-based diagnostic model showed high internal predictive performance, with an ROC AUC of 0.993; however, external validation yielded a lower AUC of 0.628, indicating limited generalizability and the need for further validation.
These findings suggest that lactylation-related transcriptional signatures may serve as potential candidate biomarkers for the early detection of PCOS. However, because this study was based primarily on transcriptomic inference and did not directly measure lactylation modifications, the results should be interpreted as hypothesis-generating. Future studies should validate these biomarkers in larger clinical cohorts, primary granulosa cells, and through direct lactylation or proteomic assays.
Ruichao Wei, Hao Zhang, Wenting Xu et al.· Journal of Ovarian Research· 0 citations
