The study generated a dataset of 420 sgRNAs targeting promoters, exons, and introns of 137 tomato genes in protoplasts, linking editing efficiency to chromatin accessibility, genomic context, and sequence features. Open chromatin sites showed higher editing rates, while transcriptional activity had little effect, and a subset of guides produced near‑complete editing with microhomology‑mediated deletions. Human‑trained prediction models performed poorly, highlighting the need for plant‑specific guide design tools.

The study investigates the role of the SNF1-related kinase 1 (SnRK1) in conferring quantitative resistance to clubroot disease caused by Plasmodiophora brassicae in Arabidopsis thaliana. Increased nuclear SnRK1 activity suppresses disease development by down‑regulating sucrose transporter and cell wall invertase expression and activity, thereby reducing sink strength, while the pathogen effector PBZF1 interferes with SnRK1 nuclear translocation.

The authors used a bottom‑up thermodynamic modelling framework to investigate how plants decode calcium signals, starting from Ca2+ binding to EF‑hand proteins and extending to higher‑order decoding modules. They identified six universal Ca2+-decoding modules that can explain variations in calcium sensitivity among kinases and provide a theoretical basis for interpreting calcium signal amplitude and frequency in plant cells.

The study demonstrates that trehalose‑6‑phosphate (T6P), a sucrose‑derived metabolite, acts as the central signal linking carbon availability to Target of Rapamycin (TOR) activation in plants. Using Arabidopsis and Brassica napus, the authors show that T6P is necessary for sucrose‑induced TOR activity and that it counteracts SnRK1‑mediated inhibition of TOR, establishing a sucrose‑T6P‑SnRK1‑TOR signaling axis that promotes cell growth.

The study combined high-throughput image-based phenotyping with genome-wide association studies to uncover the genetic architecture of tolerance to the spittlebug Aeneolamia varia in 339 interspecific Urochloa hybrids. Six robust QTL were identified for plant damage traits, explaining up to 21.5% of variance, and candidate genes linked to hormone signaling, oxidative stress, and cell‑wall modification were highlighted, providing markers for breeding.

The study examines how ectopic accumulation of methionine in Arabidopsis thaliana leaves, driven by a deregulated AtCGS transgene under a seed‑specific promoter, reshapes metabolism, gene expression, and DNA methylation. High‑methionine lines exhibit increased amino acids and sugars, activation of stress‑hormone pathways, and reduced expression of DNA methyltransferases, while low‑methionine lines show heightened non‑CG methylation without major transcriptional changes. Integrated transcriptomic and methylomic analyses reveal a feedback loop linking sulfur‑carbon metabolism, stress adaptation, and epigenetic regulation.

The study generated the first nested association mapping (NAM) population in the outcrossing forage grass Italian ryegrass (Lolium multiflorum) to investigate seed shattering and related traits, using ddRAD sequencing of 708 F2 individuals combined with whole-genome sequencing of 24 founders to obtain over 3 million SNPs for population structure, parentage, and GWAS analyses. Seven QTL were identified for seed shattering and other agronomic traits, leading to the discovery of candidate genes, including one associated with ripening pathways that explained 10% of phenotypic variance, demonstrating the utility of NAM for dissecting complex traits in outcrossing grasses.

The study reveals that the energy sensor SnRK1 modulates Arabidopsis defense by repressing SA‑dependent gene expression and bacterial resistance, with its activity enhanced under high humidity. SnRK1 interacts with TGA transcription factors to attenuate PR1 expression, linking cellular energy status to immune regulation.

The study integrates genome, transcriptome, and chromatin accessibility data from 380 soybean accessions to dissect the genetic and regulatory basis of symbiotic nitrogen fixation (SNF). Using GWAS, TWAS, eQTL mapping, and ATAC-seq, the authors identify key loci, co‑expression modules, and regulatory elements, and validate the circadian clock gene GmLHY1b as a negative regulator of nodulation via CRISPR and CUT&Tag. These resources illuminate SNF networks and provide a foundation for soybean improvement.

The study used CRISPR/Cas9 to generate rice snrk1 mutants and performed integrated phenotypic, transcriptomic, proteomic, and phosphoproteomic analyses under normal and starvation conditions, revealing SnRK1’s dual role in promoting growth and mediating stress responses. Findings indicate sub-functionalization of SnRK1 subunits and identify novel phosphorylation targets linked to membrane trafficking, ethylene signaling, and ion transport.