Results 81 to 90 of about 26,056 (208)

Species-wide gene editing of a flowering regulator reveals hidden phenotypic variation.

PLoS Biology
Genes do not act in isolation, and the effects of a specific variant at one locus can often be greatly modified by polymorphic variants at other loci.
Ulrich Lutz, Ilja Bezrukov, Rebecca Schwab, Wei Yuan, Marius Kollmar, Detlef Weigel   +5 more
doaj   +1 more source

Recent advances in the chromatin-based mechanism of FLOWERING LOCUS C repression through autonomous pathway genes. [PDF]

Front Plant Sci, 2022
Kyung J, Jeon M, Lee I.
europepmc   +1 more source

From the Discovery of the Giant Magnetocaloric Effect to the Development of High‐Power‐Density Systems

Advanced Materials Technologies, EarlyView.
The article overviews past and current efforts on caloric materials and systems, highlighting the contributions of Ames National Laboratory to the field. Solid‐state caloric heat pumping is an innovative method that can be implemented in a wide range of cooling and heating applications.
Agata Czernuszewicz, Yaroslav Mudryk, Jun Cui, Lucas Griffith, Duane D. Johnson, Julie Slaughter   +5 more
wiley   +1 more source

Histone Demethylases JMJ30 and JMJ32 Modulate the Speed of Vernalization Through the Activation of FLOWERING LOCUS C in Arabidopsis thaliana. [PDF]

Front Plant Sci, 2022
Maruoka T, Gan ES, Otsuka N, Shirakawa M, Ito T.   +4 more
europepmc   +1 more source

Hierarchical Multi‐Material Architectures With Gradient Design for Dynamic‐Range Flexible Tactile Sensing

Advanced Materials Technologies, EarlyView.
Hierarchical multi‐material TPMS lattices are engineered as flexible tactile sensors by combining soft and stiff elastomeric layers with a conformal conductive coating. The bilayer architecture delivers sensitivity at low pressures while maintaining a broad detectable range under large loads, enabling reliable pressure and vibration monitoring for ...
Reza Noroozi, Domenic Quiquero, Yan Yan Shery Huang, HaoTian Harvey Shi   +3 more
wiley   +1 more source

FT-like genes in Cannabis and hops: sex specific expression and copy-number variation may explain flowering time variation

BMC Genomics
Cannabis sativa is a fascinating, yet under-researched, species. To facilitate the global expansion of C. sativa cultivation a greater understanding of flowering time control is crucial. The PEBP gene family consists of universal promoters and repressors
Caroline A. Dowling, Todd P. Michael, Paul F. McCabe, Susanne Schilling, Rainer Melzer   +4 more
doaj   +1 more source

The AtFLC-AtFT Pathway Is Involved in the Early Flowering Promoted by Loss of AtHO1 Function in Arabidopsis

Current Issues in Molecular Biology
Although previous studies have indicated that heme oxygenase 1 (HO1/HY1) regulates the flowering time via the photoperiod pathway, the specific mechanism is still elusive.
Quan Gu, Wenyang Zhang, Ziping Chen, Na Li, Shuwen Xu   +4 more
doaj   +1 more source

Defect‐Engineered ZnO Nanowire Arrays for Flexible Room‐Temperature Hydrogen Sensors

Advanced Materials Technologies, EarlyView.
Fabrication process of patterned ZnO nucleation sites on a flexible polyimide (PI) substrate. Top/tilted‐view SEM images of ordered ZnO nanoflower arrays confined within patterned circular regions. AFM topography map with height data revealing a disk‐array structure, where the patterned regions (marked by a red dot circle) are elevated by ∼2 µm ...
Jun‐Ting Wang, Imran Khan, Jhen‐De You, Fan‐Hua Kong, Chang‐Mou Wu, Po‐Kai Chiu, Ray‐Hua Horng, Jinn P. Chu   +7 more
wiley   +1 more source

A Tea Plant (Camellia sinensis) FLOWERING LOCUS C-like Gene, CsFLC1, Is Correlated to Bud Dormancy and Triggers Early Flowering in Arabidopsis. [PDF]

Int J Mol Sci, 2022
Liu Y, Dreni L, Zhang H, Zhang X, Li N, Zhang K, Di T, Wang L, Yang Y, Hao X, Wang X.   +10 more
europepmc   +1 more source

Low‐Pressure Plasma‐Based Wrinkling of PDMS and Machine Learning‐Driven Property Engineering

Advanced Materials Technologies, EarlyView.
Wrinkled surfaces are well‐suited for controlled surface deformations in the µm range. The key challenge is the relation between the resulting wrinkle features and the necessary process conditions. Machine learning techniques have solved the prediction and inverse design problems for various preparation conditions, opening a precisely controlled ...
Fabian Kopsch, Atmika Bhardwaj, Mirko Nitschke, Ilka Hermes, Andreas Fery, Anett Müller, Marco Werner, André Knapp   +7 more
wiley   +1 more source