Pinus massoniana is an important industrial crop tree species commonly used for timber and wood pulp for papermaking, rosin, and turpentine. This study investigated the effects of exogenous calcium (Ca) on P. massoniana seedling growth, development, and various biological processes and revealed the underlying molecular mechanisms. The results showed that Ca deficiency led to severe inhibition of seedling growth and development, whereas adequate exogenous Ca markedly improved growth and development. Many physiological processes were regulated by exogenous Ca. The underlying mechanisms involved diverse Ca-influenced biological processes and metabolic pathways. Calcium deficiency inhibited or impaired these pathways and processes, whereas sufficient exogenous Ca improved and benefited these cellular events by regulating several related enzymes and proteins. High levels of exogenous Ca facilitated photosynthesis and material metabolism. Adequate exogenous Ca supply relieved oxidative stress that occurred at low Ca levels. Enhanced cell wall formation, consolidation, and cell division also played a role in exogenous Ca-improved P. massoniana seedling growth and development. Calcium ion homeostasis and Ca signal transduction-related gene expression were also activated at high exogenous Ca levels. Our study facilitates the elucidation of the potential regulatory role of Ca in P. massoniana physiology and biology and is of guiding significance in Pinaceae plant forestry.
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http://dx.doi.org/10.1016/j.plaphy.2023.03.009 | DOI Listing |
J Physiol
January 2025
Instituto de Investigaciones Cerebrales, Universidad Veracruzana, Xalapa Ver, México.
Autism spectrum disorder (ASD) is a prevalent neurodevelopmental condition affecting a substantial number of children globally, characterized by diverse aetiologies, including genetic and environmental factors. Emerging research suggests that neurovascular dysregulation during development could significantly contribute to autism. This review synthesizes the potential role of vascular abnormalities in the pathogenesis of ASD and explores insights from studies on valproic acid (VPA) exposure during neural tube development.
View Article and Find Full Text PDFThis longitudinal study aimed to examine the long-term effects of Reminiscing and Emotion Training (RET), child maltreatment, and the COVID-19 pandemic on maternal elaboration and sensitive guidance during reminiscing. RET was developed to improve maternal elaborative and emotionally sensitive reminiscing among maltreating mothers of preschool-aged children. Of the original 248 mothers and their preschool-aged children who participated in the trial of RET, which included 165 families with maltreatment who were randomized to receive RET ( = 83) or a case management community standard condition (CS, = 82), and a group of demographically similar families with no history of child maltreatment, nonmaltreatment comparison (NC, = 83), 166 families participated in an assessment 5 years postintervention (Time 5; T5) at which children were aged 8-12 years.
View Article and Find Full Text PDFMethods Mol Biol
January 2025
Instituto Cajal, Consejo Superior de Investigaciones Científicas, Madrid, Spain.
In the Drosophila brain, neuronal diversity originates from approximately 100 neural stem cells, each dividing asymmetrically. Precise mapping of cell lineages at the single-cell resolution is crucial for understanding the mechanisms that direct neuronal specification. However, existing methods for high-resolution lineage tracing are notably time-consuming and labor-intensive.
View Article and Find Full Text PDFMethods Mol Biol
January 2025
Life Science Institute, University of Michigan, Ann Arbor, MI, USA.
Cell lineage analysis is primarily undertaken to understand cell fate specification and diversification along a cell lineage tree. Built with dual repressible markers, twin-spot mosaic analysis with repressible cell markers (MARCM) labels the two daughter cells made by a common precursor in distinct colors. The power of twin-spot MARCM to systematically subdivide complex lineages is exemplified in studies of Drosophila neural stem-cell lineages.
View Article and Find Full Text PDFMethods Mol Biol
January 2025
Ecole Polytechnique Fédérale de Lausanne, School of Life Sciences, Institute of Bioengineering, Lausanne, Switzerland.
Gene expression memory-based lineage inference (GEMLI) is a computational tool allowing to predict cell lineages solely from single-cell RNA-sequencing (scRNA-seq) datasets and is publicly available as an R package on GitHub. GEMLI is based on the occurrence of gene expression memory, i.e.
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