Department of Evolutionary Biology, Ecology and Environmental Sciences, Faculty of Biology, Universitat de Barcelona, Avinguda Diagonal 643, 08028, Barcelona, Spain.
Institute of Research in Biodiversity (IRBio-UB), Universitat de Barcelona, Avinguda Diagonal 643, 08028, Barcelona, Spain.
Planta. 2024 Jun 19;260(1):32. doi: 10.1007/s00425-024-04466-3.
By studying Cistus albidus shrubs in their natural habitat, we show that biological outliers can help us to understand the causes and consequences of maximum photochemical efficiency decreases in plants, thus reinforcing the importance of integrating these often-neglected data into scientific practice. Outliers are individuals with exceptional traits that are often excluded of data analysis. However, this may result in very important mistakes not accurately capturing the true trajectory of the population, thereby limiting our understanding of a given biological process. Here, we studied the role of biological outliers in understanding the causes and consequences of maximum photochemical efficiency decreases in plants, using the semi-deciduous shrub C. albidus growing in a Mediterranean-type ecosystem. We assessed interindividual variability in winter, spring and summer maximum PSII photochemical efficiency in a population of C. albidus growing under Mediterranean conditions. A strong correlation was observed between maximum PSII photochemical efficiency (F/F ratio) and leaf water desiccation. While decreases in maximum PSII photochemical efficiency did not result in any damage at the organ level during winter, reductions in the F/F ratio were associated to leaf mortality during summer. However, all plants could recover after rainfalls, thus maximum PSII photochemical efficiency decreases did not result in an increased mortality at the organism level, despite extreme water deficit and temperatures exceeding 40ºC during the summer. We conclude that, once methodological outliers are excluded, not only biological outliers must not be excluded from data analysis, but focusing on them is crucial to understand the causes and consequences of maximum PSII photochemical efficiency decreases in plants.
通过在自然栖息地研究乳香黄连木灌丛,我们表明生物异常值可以帮助我们了解植物最大光化学效率降低的原因和后果,从而加强将这些经常被忽视的数据纳入科学实践的重要性。异常值是指具有异常特征的个体,这些个体通常被排除在数据分析之外。然而,这可能会导致非常重要的错误,无法准确捕捉种群的真实轨迹,从而限制我们对给定生物过程的理解。在这里,我们使用生长在地中海型生态系统中的半落叶灌木乳香黄连木来研究生物异常值在理解植物最大光化学效率降低的原因和后果中的作用。我们评估了在生长在地中海条件下的乳香黄连木种群中,冬季、春季和夏季最大 PSII 光化学效率的个体间变异性。我们观察到最大 PSII 光化学效率(F/F 比)与叶片水分蒸腾之间存在很强的相关性。虽然最大 PSII 光化学效率的降低在冬季不会导致器官水平的任何损伤,但在夏季,F/F 比值的降低与叶片死亡率有关。然而,所有植物在降雨后都可以恢复,因此最大 PSII 光化学效率的降低并没有导致生物体水平的死亡率增加,尽管夏季期间水分极度缺乏且温度超过 40°C。我们得出结论,一旦排除了方法异常值,不仅不能将生物异常值从数据分析中排除,而且专注于它们对于理解植物最大 PSII 光化学效率降低的原因和后果至关重要。