Flower colour polymorphism (FCP) is the occurrence of at least two discrete flower colour variants in the same population. Despite a vast body of research concerning the maintenance and evolutionary consequences of FCP, only recently has the spatial variation in morph frequencies among populations been explored. Here we summarise the biochemical and genetic basis of FCP, the factors that have been proposed to explain their maintenance, and the importance of FCP and its geographic variation in the speciation process. We also review the incidence of FCP in the environmentally heterogeneous Mediterranean Basin. Nearly 88% of Mediterranean FCP species showed anthocyanin-based polymorphisms. Concerning the evolutionary mechanisms that contribute to maintain FCP, selection by pollinators is suggested in some species, but in others, selection by non-pollinator agents, genetic drift or gene flow are also found; in some cases different processes interact in the maintenance of FCP. We emphasise the role of both autonomous selfing and clonal reproduction in FCP maintenance. Mediterranean polymorphic species show mainly monomorphic populations with only a few polymorphic ones, which generate clinal or mosaic patterns of variation in FCP. No cases of species with only polymorphic populations were found. We posit that different evolutionary processes maintaining polymorphism the Mediterranean Basin will result in a continuum of geographic patterns in morph compositions and relative frequencies of FCP species.
Download full-text PDF |
Source |
---|---|
http://dx.doi.org/10.1111/plb.12575 | DOI Listing |
Int J Food Sci
January 2025
Department of Agronomy, Faculty of Agriculture, Universitas Padjadjaran, Sumedang, Indonesia.
Marigold flowers, which are also known as L., are widely recognized for their bright colors and health benefits. Therefore, the purpose of this research was to investigate the quality of total carotenoid content (TCC) and quercetin in marigold flowers, specifically the edible ones, using visible near-infrared spectroscopy (Vis-NIRS) technology.
View Article and Find Full Text PDFBMC Plant Biol
January 2025
Institute of Chinese Herbel Medicines, Henan Academy of Agricultural Sciences, Zhengzhou , Henan, 450002, China.
Background: WRKY transcription factors constitute one of the largest families of plant transcriptional regulators, playing pivotal roles in plant responses to biotic and abiotic stresses, as well as in hormonal signaling and secondary metabolism regulation. However, a comprehensive analysis of the WRKY family in Carthamus tinctorius (safflower) is lacking. This study aims to identify and characterize WRKY genes in safflower to enhance understanding of their roles in stress responses and metabolic regulation.
View Article and Find Full Text PDFHeliyon
January 2025
College of Bioengineering, Chongqing University, Chongqing, 400000, China.
Chongqing Old Rose is an ancient edible rose variety native to Chongqing, China, but is under-reported. Further evidence is required to fully establish its potential benefits. The complete metabolic profiles were examined for comparative analysis between the Old Rose and three rose cultivars.
View Article and Find Full Text PDFPlant Cell Environ
January 2025
Key Laboratory of Economic Plants and Biotechnology, Kunming Institute of Botany, Chinese Academy of Sciences, Kunming, Yunnan, China.
Flower color is a crucial trait that attracts pollinators and determines the ornamental value of floral crops. Cymbidium lowianum, one of the most important breeding parent of Cymbidium hybrids, has two flower morphs (normal and albino) that differ in flower lip color. However, the molecular mechanisms underlying flower color formation in C.
View Article and Find Full Text PDFJ Food Sci
January 2025
College of Mechanical and Electrical Engineering, Shaanxi University of Science and Technology, Xi'an, China.
To enhance the drying quality of peony flowers, this study developed an integrated intelligent control and monitoring system. The system incorporates computer vision technology to enable real-time continuous monitoring and analysis of the total color change (ΔE) and shrinkage rate (SR) of the material. Additionally, by integrating drying time and temperature data, a hybrid neural network model combining convolutional neural networks, long short-term memory, and attention mechanisms (CNN-LSTM-Attention) was employed to accurately predict the moisture ratio (MR) of peony flowers.
View Article and Find Full Text PDFEnter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!