Fakhr Marwa A, Mazrou Yasser S A, Ellmouni Faten Y, ElSaied AlBaraa, Elhady Mohamed, Elkelish Amr, Nour Iman H
Botany Department, Faculty of Science, Fayoum University, Fayoum 63514, Egypt.
Plant Protection and Biomolecular Diagnosis Department, Arid Lands Cultivation Research Institute, City of Scientific Research and Technological Applications (SRTA-City), New Borg El-Arab City, Alexandria 21934, Egypt.
Plants (Basel). 2021 Dec 27;11(1):77. doi: 10.3390/plants11010077.
Phenotypic plasticity is frequently highlighted as a key factor in plant invasiveness, as it enables invasive species to adapt to diverse, complicated habitats. is one of the most common aggressive species that threaten different crops around the world. Phenotypic plasticity in was investigated by comparing variation in germination, vegetative macromorphology, photosynthetic pigments, stomatal complexes, and seed micromorphological traits of 35 samples collected from 35 different localities. One-way cluster analysis and principal component analysis (PCA) were used to classify samples into homogeneous groups based on the measured traits. Pairwise statistical comparisons were conducted between the three resulting groups. The phenotypic plasticity index (PI) was calculated and compared among different groups of characters. Results showed that photosynthetic pigments and macromorphological characteristics had the highest PI, followed by seed micromorphology, and then stomatal complex traits, while germination parameters showed the lowest PI. We propose that soil moisture, salinity, and temperature are the most determinative and explanative variables of the variation between the three classified groups. We strongly believe that the phenotypic plasticity of . will support species abundance and spread even under expected changes in climatic conditions, in contrast to the vulnerable traditional crops.
表型可塑性常被视为植物入侵性的关键因素,因为它能使入侵物种适应多样、复杂的栖息地。 是威胁全球不同作物的最常见的侵略性物种之一。通过比较从35个不同地点采集的35个样本的发芽、营养体宏观形态、光合色素、气孔复合体和种子微观形态特征的变化,对 的表型可塑性进行了研究。采用单向聚类分析和主成分分析(PCA),根据测量的性状将样本分类为同质组。对所得的三组进行两两统计比较。计算并比较了不同性状组之间的表型可塑性指数(PI)。结果表明,光合色素和宏观形态特征的PI最高,其次是种子微观形态,然后是气孔复合体性状,而发芽参数的PI最低。我们认为土壤湿度、盐度和温度是三个分类组之间变异的最具决定性和解释性的变量。我们坚信,与脆弱的传统作物相比, 的表型可塑性将支持其物种丰富度和扩散,即使在预期的气候条件变化下也是如此。