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The Lemnaceae, known as duckweed, the smallest flowering aquatic plant, shows promise as a plant bioreactor. For applying this potential plant bioreactor, establishing a stable and efficient genetic transformation system is necessary. The currently favored callus-based method for duckweed transformation is time consuming and genotype limited, as it requires callus culture and regeneration, which is inapplicable to many elite duckweed strains suitable for bioreactor exploitation. In this study, we attempted to establish a simple frond transformation system mediated by Agrobacterium tumefaciens for Lemna minor, one of the most widespread duckweed species in the world. To evaluate the feasibility of the new transformation system, the gene CYP710A11 was overexpressed to improve the yield of stigmasterol, which has multiple medicinal purposes. Three L. minor strains, ZH0055, D0158 and M0165, were transformed by both a conventional callus transformation system (CTS) and the simple frond transformation system (FTS). GUS staining, PCR, quantitative PCR and stigmasterol content detection showed that FTS can produce stable transgenic lines as well as CTS. Moreover, compared to CTS, FTS can avoid the genotype constraints of callus induction, thus saving at least half of the required processing time (CTS took 8-9 months while FTS took approximately 3 months in this study). Therefore, this transformation system is feasible in producing stable transgenic lines for a wide range of L. minor genotypes.
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http://dx.doi.org/10.1007/s11103-018-0778-x | DOI Listing |
J Sep Sci
September 2025
Department of Analytical Chemistry, Faculty of Science, Palacký University Olomouc, Olomouc, Czech Republic.
The increasing use of engineered nanoparticles (NPs) in consumer and biomedical products has raised concern over their potential accumulation, transformation, and toxicity in biological systems. Accurate analytical methods are essential to detect, characterize, and quantify NPs in complex biological matrices. Inductively coupled plasma mass spectrometry (ICP-MS) has emerged as a leading technique due to its high sensitivity, elemental selectivity, and quantitative capabilities.
View Article and Find Full Text PDFEnviron Geochem Health
September 2025
Department of Chemistry, Government Arts College(A), Salem, Tamil Nadu, 636007, India.
A CoO/AgMoO/CeOternary nanocomposites photocatalyst was successfully synthesized through a straightforward ethanol-assisted chemical method. Comprehensive characterization of its structural and optical properties was conducted using X-ray diffraction (XRD), Fourier-transform infrared spectroscopy (FTIR), Raman spectroscopy, scanning electron microscopy (SEM), transmission electron microscopy (TEM), UV-Vis diffuse reflectance spectroscopy (UV-DRS), and photoluminescence (PL) analysis. XRD analysis confirmed the presence of CoO, AgMoO and CeO in the ternary composite sample.
View Article and Find Full Text PDFNature
September 2025
Institute for Atmospheric and Climate Science, Department of Environmental Systems Science, ETH Zurich, Zurich, Switzerland.
Extreme event attribution assesses how climate change affected climate extremes, but typically focuses on single events. Furthermore, these attributions rarely quantify the extent to which anthropogenic actors have contributed to these events. Here we show that climate change made 213 historical heatwaves reported over 2000-2023 more likely and more intense, to which each of the 180 carbon majors (fossil fuel and cement producers) substantially contributed.
View Article and Find Full Text PDFNat Commun
September 2025
Research Center for Advanced Science and Technology, The University of Tokyo, Tokyo, Japan.
The phase transformation of single-element systems is a fundamental natural process with broad implications, yet many aspects remain puzzling despite their simplicity. For instance, transition metals, Tantalum (Ta) and Zirconium (Zr), commonly form body-centred cubic crystals when supercooled. However, according to large-scale computer simulations, their crystallisation rates can differ by over 100 times.
View Article and Find Full Text PDFProg Cardiovasc Dis
September 2025
Department of Cardiology, University of Texas Health Science Center, San Antonio, TX, USA.
Background: Cardiopulmonary resuscitation (CPR) is a vital intervention for managing cardiac arrest; however, enhancing survival rates remains a significant challenge. Recent advancements highlight the importance of integrating artificial intelligence (AI) to overcome existing limitations in prediction, intervention, and post-resuscitation care.
Methods: A thorough review of contemporary literature regarding AI applications in CPR was undertaken, explicitly examining its role in the early prediction of cardiac arrest, optimization of CPR quality, and enhancement of post-arrest outcomes.