The study identifies the transcription factor MdBRC1 as a key inhibitor of bud growth during the ecodormancy phase in apple (Malus domestica), directly regulating dormancy‑associated genes and interacting with the flowering promoter MdFT2 to modulate bud break. Comparative transcriptomic analysis and gain‑of‑function experiments in poplar demonstrate that MdFT2 physically binds MdBRC1, attenuating its repressive activity and acting as a molecular switch for the transition to active growth.

The study introduced full-length SOC1 genes from maize and soybean, and a partial SOC1 gene from blueberry, into tomato plants under constitutive promoters. While VcSOC1K and ZmSOC1 accelerated flowering, all three transgenes increased fruit number per plant mainly by promoting branching, and transcriptomic profiling revealed alterations in flowering, growth, and stress‑response pathways.

The study introduces a CRISPR/Cas9‑based restoration system (CiRBS) that reactivates a disabled luciferase reporter (LUC40Ins26bp) in transgenic Arabidopsis, enabling long‑term single‑cell bioluminescence monitoring. Restoration occurs within 24 h after particle‑bombardment‑mediated CRISPR delivery, with ~7 % of cells regaining luminescence and most restored cells carrying a single correctly edited chromosome, facilitating reliable analysis of cellular gene‑expression heterogeneity.

The study used CRISPR/Cas9 to create rice lines with one to three tandem copies of the OsMADS18 gene and confirmed copy-number through high‑throughput qPCR. Incremental increases in OsMADS18 copy number produced proportional rises in transcript levels and corresponding enhancements in leaf blade and culm length, showing that gene dosage can be leveraged to fine‑tune agronomic traits.

The study shows that the SnRK1 catalytic subunit KIN10 directs tissue-specific growth‑defense programs in Arabidopsis thaliana by reshaping transcriptomes. kin10 knockout mutants exhibit altered root transcription, reduced root growth, and weakened defense against Pseudomonas syringae, whereas KIN10 overexpression activates shoot defense pathways, increasing ROS and salicylic acid signaling at the cost of growth.

The authors adapted OpenPlant kit CRISPR/Cas9 tools to enable multiplex gRNA expression from a single transcript using tRNA sequences in the liverwort Marchantia polymorpha, markedly enhancing editing efficiency and scalability. They coupled this vector system with a simplified, optimized thallus transformation protocol, providing a rapid and versatile platform for generating CRISPR/Cas9 mutants and advancing functional genomics in this model species.

The study combined long‑read whole‑genome assembly, multi‑omics profiling (DNA methylation, mRNA, ribosome‑associated transcripts, tRNA abundance, and protein levels) in two Arabidopsis thaliana accessions to evaluate how genomic information propagates through the Central Dogma. Codon usage in gene sequences emerged as the strongest predictor of both mRNA and protein abundance, while methylation, tRNA levels, and ribosome‑associated transcripts contributed little additional information under stable conditions.

The study investigated how molecular factors determine the developmental fate of axillary buds (AXB) in Fragaria vesca, distinguishing between stolon formation and branch crown development. By combining phenotypic analysis of AXB development with RNA‑seq of undifferentiated buds across three genotypes, the authors identified FveBRC1 as a key regulator, and confirmed its role using CRISPR/Cas9‑generated brc1 mutants. These findings enhance understanding of AXB fate control and its impact on strawberry fruit yield.

The study applied a CRISPR/Cas9 multiplex guide RNA strategy to delete entire open reading frames of four reproductive genes in Arabidopsis thaliana, achieving homozygous deletions already in the T1 generation with rates of 8.3–30%. Deletion efficiencies correlated with DeepSpCas9 prediction scores, and phenotypic analyses revealed unexpected effects of residual gene fragments on fertilization and seed development.

The study performed a comprehensive computational analysis of the Arabidopsis thaliana proteome, classifying 48,359 proteins by melting temperature (Tm) and melting temperature index (TI) and linking thermal stability to amino acid composition, molecular mass, and codon usage. Machine‑learning and evolutionary analyses revealed that higher molecular mass and specific codon pairs correlate with higher Tm, and that gene duplication has driven the evolution of high‑Tm proteins, suggesting a genomic basis for stress resilience.