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.
Robustness of high-throughput prediction of leaf ecophysiological traits using near infra-red spectroscopy and poro-fluorometry
Authors: Coindre, E., Boulord, R., Chir, L., Freitas, V., Ryckewaert, M., Laisne, T., Bouckenooghe, V., Lis, M., Cabrera-Bosquet, L., Doligez, A., Simonneau, T., Pallas, B., Coupel-Ledru, A., Segura, V.
The study evaluated high‑throughput spectroscopy and poro‑fluorometry to predict leaf morphological and ecophysiological traits in a grapevine diversity panel under well‑watered and drought conditions. Spectroscopy reliably estimated leaf mass per area and water content, while poro‑fluorometry accurately predicted net CO2 assimilation, and the derived predicted traits showed substantial broad‑sense heritability. These results demonstrate that non‑destructive, rapid phenotyping tools can support genetic analyses of drought‑related traits in grapevine.