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Damaging thermal stimuli trigger long-lasting variation potentials (VPs) in higher plants. Owing to limitations in conventional plant electrophysiological recording techniques, recorded signals are composed of signals originating from all of the cells that are connected to an electrode. This limitation does not enable detailed spatio-temporal distributions of transmission and electrical activities in plants to be visualised. Multi-electrode array (MEA) enables the recording and imaging of dynamic spatio-temporal electrical activities in higher plants. Here, we used an 8 × 8 MEA with a polar distance of 450 μm to measure electrical activities from numerous cells simultaneously. The mapping of the data that were recorded from the MEA revealed the transfer mode of the thermally induced VPs in the leaves of Helianthus annuus L. seedlings in situ. These results suggest that MEA can enable recordings with high spatio-temporal resolution that facilitate the determination of the bioelectrical response mode of higher plants under stress.

Damaging thermal stimuli trigger long-lasting variation potentials (VPs) in higher plants. Owing to limitations in conventional plant electrophysiological recording techniques, recorded signals are composed of signals originating from all of the cells that are connected to an electrode. This limitation does not enable detailed spatio-temporal distributions of transmission and electrical activities in plants to be visualised. Multi-electrode array (MEA) enables the recording and imaging of dynamic spatio-temporal electrical activities in higher plants. Here, we used an 8 × 8 MEA with a polar distance of 450 μm to measure electrical activities from numerous cells simultaneously. The mapping of the data that were recorded from the MEA revealed the transfer mode of the thermally induced VPs in the leaves of Helianthus annuus L. seedlings in situ. These results suggest that MEA can enable recordings with high spatio-temporal resolution that facilitate the determination of the bioelectrical response mode of higher plants under stress.

DELLA protein is a key factor involved in GA regulatory pathways and plays an important role in regulating plant growth and development. In order to reveal the distribution and characteristics of DELLA protein family in Brassica napus, family members, sequence characteristics, evolutionary relationships and tissue expression were analyzed using bioinformatics. The results showed that there were 13 DELLA protein genes in B. napus, located on 8 chromosomes with 2 random sequences (chrC09_random and chrCnn_random). The phylogenetic tree showed that the family was clustered into 4 subfamilies. The first subfamily contains 7 genes, and the second, third and fourth subfamilies each included 2 genes. The expression analysis of different tissues showed tissue - specific expression in each tissue, and BnaA10g17240D, BnaC09g40420D, BnaCnng68300D and BnaC05g47760D were relatively high in each tissue. Among the stems, BnaA06g34810D, BnaA09g18700D and BnaC09g52270D had the highest expression. This study provided a reference for gene function reseach in the future. [ABSTRACT FROM AUTHOR]