The study investigates how Arabidopsis thaliana rosette leaves respond to iron availability at four successive reproductive stages, showing that young leaves suffer growth inhibition and yellowing under iron deficiency while old and young leaves display distinct gene expression and elemental profiles. Developmental stage‑dependent modulation of iron‑related genes and ionomic contents is highlighted, suggesting leaf‑specific signaling mechanisms in iron management.

The study presents a chromosome-level reference genome for the invasive fern Lygodium microphyllum and compares the transcriptomic and epigenomic profiles of its haploid gametophyte and diploid sporophyte phases, revealing differential regulation of developmental genes and similar methylation patterns across tissues. Base‑pair resolution methylome data and freezing‑stress experiments show that each life phase employs distinct molecular pathways for stress response, emphasizing the importance of considering both phases in invasive‑species management.

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.

The study investigates how miR394 influences flowering time in Arabidopsis thaliana by combining transcriptomic profiling of mir394a mir394b double mutants with histological analysis of reporter lines. Bioinformatic analysis identified a novel lncRNA overlapping MIR394B (named MIRAST), and differential promoter activity of MIR394A and MIR394B suggests miR394 fine‑tunes flower development through transcription factor and chromatin remodeler regulation.

The study characterizes all seven malic enzyme genes in tomato, analyzing their tissue-specific expression, temperature and ethylene responsiveness, and linking specific isoforms to metabolic processes such as starch and lipid biosynthesis during fruit development. Phylogenetic, synteny, recombinant protein biochemical assays, and promoter analyses were used to compare tomato enzymes with Arabidopsis counterparts, revealing complex evolutionary dynamics that decouple phylogeny from functional orthology.