Switchgrass, a forage and bioenergy crop, occurs as two main ecotypes with different but overlapping ranges of adaptation. The two ecotypes differ in a range of characteristics, including flowering time. Flowering time determines the duration of vegetative development and therefore biomass accumulation, a key trait in bioenergy crops. No causal variants for flowering time differences between switchgrass ecotypes have, as yet, been identified. In this study, we mapped a robust flowering time quantitative trait locus (QTL) on chromosome 4K in a biparental F2 population and characterized the flowering-associated transcription factor gene PvHd1, an ortholog of CONSTANS in Arabidopsis and Heading date 1 in rice, as the underlying causal gene. Protein modeling predicted that a serine to glycine substitution at position 35 (p.S35G) in B-Box domain 1 greatly altered the global structure of the PvHd1 protein. The predicted variation in protein compactness was supported in vitro by a 4 °C shift in denaturation temperature. Overexpressing the PvHd1-p.35S allele in a late-flowering CONSTANS-null Arabidopsis mutant rescued earlier flowering, whereas PvHd1-p.35G had a reduced ability to promote flowering, demonstrating that the structural variation led to functional divergence. Our findings provide us with a tool to manipulate the timing of floral transition in switchgrass cultivars and, potentially, expand their cultivation range.
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http://dx.doi.org/10.1093/jxb/erad255 | DOI Listing |
PeerJ
January 2025
Department of Field Crops, Aydin Adnan Menderes University, Aydin, Türkiye.
Background: Salinity stress is a significant challenge in agriculture, particularly in regions where soil salinity is increasing due to factors such as irrigation practices and climate change. This stress adversely affects plant growth, development, and yield, posing a threat to the cultivation of economically important plants like . This study aims to evaluate the effectiveness by proactively applying indole-3-butyric acid (IBA) to cuttings as a practical and efficient method for mitigating the adverse effects of salinity stress.
View Article and Find Full Text PDFPlant Cell Rep
January 2025
Faculty of Science and Engineering, Southern Cross University, Lismore, NSW, 2480, Australia.
Cannabis trichome development progresses in distinct phases that underpin the dynamic biosynthesis of cannabinoids and terpenes. This study investigates the molecular mechanisms underlying cannabinoid and terpenoid biosynthesis in glandular trichomes of Cannabis sativa (CsGTs) throughout their development. Female Cannabis sativa c.
View Article and Find Full Text PDFTalanta
January 2025
Department of Chemistry and Laboratory for Preparation and Application of Ordered Structural Materials of Guangdong Province, Shantou University, Shantou, Guangdong, 515063, P.R. China; Guangdong Engineering Technology Research Center of Offshore Environmental Pollution Control, Shantou, Guangdong, 515063, P.R. China; Analysis & Testing Center, Shantou University, Shantou, Guangdong, 515063, P.R. China. Electronic address:
CYFRA21-1 is a tumor marker for lung cancer, and its rapid and accurate detection can provide evidence for the early diagnosis of lung cancer. In this work, Bi-Fe turnbull blue analogues (Bi-Fe-TBA) were synthesized by the self-templating method. BiO-SFNs was prepared by simple oxidation in air using Bi-Fe-TBA as a template.
View Article and Find Full Text PDFPLoS One
January 2025
School of Natural Sciences, Macquarie University, Macquarie Park, Sydney, Australia.
Saffron (Crocus sativus L.) has held significant cultural and medicinal value since the Greek-Minoan civilization. As a triploid spice with vegetative propagation from the Iridaceae family, the three-branch style of C.
View Article and Find Full Text PDFChem Biodivers
January 2025
Department of Horticultural Science, Faculty of Agriculture, Jahrom University, Jahrom, Iran.
The approaches used to determine the medicinal properties of the plants are often destructive, labor-intensive, time-consuming, and expensive, making it impossible to analyze their quality analysis online. Performance of hyperspectral imaging (HSI) integrated with intelligent techniques to overcome these problems was investigated in this research. For this purpose, three classification methods-support vector machine, random forest (RF), and extreme gradient boosting-were studied for the classification of plants in three classes of medicinal, edible, and ornamental for the organs of leaf, stem, flower, and root.
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