SummaryCotton (Gossypium hirsutum L.) fibers, one of the most important natural raw materials for textile industry, are highly elongated trichomes from epidermal cells of cotton ovules. DET2, an Arabidopsis steroid 5d-reductase, is considered to catalyze a major rate-limiting in brassinosteroid (BR) biosynthesis. To understand the role of BRs in cotton fiber development, GhDET2, which putatively encodes a steroid 5a-reductase by sequence comparison, was cloned from developing fiber cells. In vitro assessment of GhDET2 protein activity confirmed that GhDET2 encodes a functional steroid 5a-redutase. High levels of GhDET2 transcript were detected during the fiber initiation stage and the fiber rapid elongation stage. Antisense-mediated suppression of GhDET2 inhibited both fiber initiation and fiber elongation. Similarly, treating cultured ovules with finasteride, a steroid 5a-reductase inhibitor, reduced fiber elongation. Inhibition of fiber cell elongation by expression of antisense GhDET2 or the finasteride treatment could be reversed by epibrassinolide, a biologically active BR. Furthermore, seed coat-specific expression of GhDET2 increased fiber number and length. Therefore, GhDET2 and BRs play a crucial role in the initiation and elongation of cotton fiber cells, suggesting that modulation of BR biosynthesis factors may improve fiber quality or yield.

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Preeclampsia (PE) is a leading cause of maternal and neonatal mortality and morbidity worldwide, impacting the long‐term health of both mother and offspring. PE has long been characterized by deficient trophoblast invasion into the uterus and consequent placental hypoperfusion, yet the upstream causative factors and effective interventional targets for PE remain unknown. Alterations in the metabolism of preeclamptic placentas are thought to result from placental ischemia, while disturbances of the metabolism and of metabolites in PE pathogenesis are largely ignored. In fact, as one of the largest fetal organs at birth, the placenta consumes a considerable amount of glucose and fatty acid. Increasing evidence suggests glucose and fatty acid exist as energy substrates and regulate placental development through bioactive derivates. Moreover, recent findings have revealed that the placental metabolism adapts readily to environmental changes, altering its response to nutrients and endocrine signals; this adaptability optimizes pregnancy outcomes by diversifying available carbon sources for energy production, hormone synthesis, angiogenesis, immune activation, and tolerance, and fetoplacental growth. These observations raise the possibility that carbohydrate and lipid metabolism abnormalities play a role in both the etiology and clinical progression of PE, sparking a renewed interest in the interrelationship between PE and metabolic dysregulation. This review will focus on key metabolic substrates and regulatory molecules in the placenta and aim to provide novel insights with respect to the metabolism’s role in modulating placental development and functions. Further investigations from this perspective are poised to decipher the etiology of PE and suggest potential therapies.

In order to characterise the features of particle pollution in the Pearl River Delta (PRD) region, a 1-month intensive campaign was conducted at the rural supersite (Kaiping) in the autumn of 2008. In total, 12 new particle formation (NPF) events are identified out of 30 campaign days. The results show that in the case of higher source and sink values, the result of the competition between source and sink is more likely the key limiting factor to determine the observation of NPF events at Kaiping. One episode with consecutive NPF events in the presence of strong biomass burning plume was observed between 10 and 15 November. The elevation of particle volume concentration (6.1 µm3/cm3/day) is due to the coaction by the local biomass burning and secondary transformation. Organics and sulphates are the major components in PM1, accounting for 42 and 35% of the mass concentration, respectively. In this study, a rough estimation is applied to quantify the contributions of diverse sources to the particle number concentration. On average, the primary emission and secondary formation provide 28 and 72% of particle number concentration and 21 and 79% of mass concentration, respectively