Hunt Lena, Fuksa Michal, Klem Karel, Lhotáková Zuzana, Oravec Michal, Urban Otmar, Albrechtová Jana
Department of Experimental Plant Biology, Faculty of Science, Charles University, Viničná 5, 12844 Praha, Czech Republic.
Global Change Research Institute, Czech Academy of Sciences, Bělidla 4a, 60300 Brno, Czech Republic.
Plants (Basel). 2021 Nov 21;10(11):2533. doi: 10.3390/plants10112533.
Changes in stomatal conductance and density allow plants to acclimate to changing environmental conditions. In the present paper, the influence of atmospheric CO concentration and light intensity on stomata were investigated for two barley genotypes-Barke and Bojos, differing in their sensitivity to oxidative stress and phenolic acid profiles. A novel approach for stomatal density analysis was used-a pair of convolution neural networks were developed to automatically identify and count stomata on epidermal micrographs. Stomatal density in barley was influenced by genotype, as well as by light and CO conditions. Low CO conditions resulted in increased stomatal density, although differences between ambient and elevated CO were not significant. High light intensity increased stomatal density compared to low light intensity in both barley varieties and all CO treatments. Changes in stomatal conductance were also measured alongside the accumulation of pentoses, hexoses, disaccharides, and abscisic acid detected by liquid chromatography coupled with mass spectrometry. High light increased the accumulation of all sugars and reduced abscisic acid levels. Abscisic acid was influenced by all factors-light, CO, and genotype-in combination. Differences were discovered between the two barley varieties: oxidative stress sensitive Barke demonstrated higher stomatal density, but lower conductance and better water use efficiency (WUE) than oxidative stress resistant Bojos at saturating light intensity. Barke also showed greater variability between treatments in measurements of stomatal density, sugar accumulation, and abscisic levels, implying that it may be more responsive to environmental drivers influencing water relations in the plant.
气孔导度和密度的变化使植物能够适应不断变化的环境条件。在本文中,研究了大气CO浓度和光照强度对两种大麦基因型——巴克(Barke)和博霍斯(Bojos)气孔的影响,这两种基因型对氧化应激和酚酸谱的敏感性不同。采用了一种新的气孔密度分析方法——开发了一对卷积神经网络,用于自动识别和计数表皮显微照片上的气孔。大麦的气孔密度受基因型以及光照和CO条件的影响。低CO条件导致气孔密度增加,尽管环境CO和高浓度CO之间的差异不显著。与低光照强度相比,在两个大麦品种和所有CO处理中,高光照强度均增加了气孔密度。同时还测量了气孔导度的变化,以及通过液相色谱-质谱联用检测到的戊糖、己糖、二糖和脱落酸的积累情况。高光增加了所有糖类的积累并降低了脱落酸水平。脱落酸受光照、CO和基因型所有因素的综合影响。在两个大麦品种之间发现了差异:在饱和光照强度下,对氧化应激敏感的巴克气孔密度较高,但导度较低,水分利用效率(WUE)比抗氧化应激的博霍斯更好。巴克在气孔密度、糖积累和脱落酸水平的测量中,处理间的变异性也更大,这意味着它可能对影响植物水分关系的环境驱动因素更敏感。