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Seed development, which depends on parent plants genetic background and mother plant environmental conditions, is a major component determining seed composition. Seed quality is a main agricultural concern, impacting both food and non-food applications, while also playing a central role in biodiversity conservation and environment protection. Climate change, in particular the emergence of extremely high temperatures, constitute a critical global threat to agriculture. Specialized metabolites (SMs) play crucial roles in the interactions of plants and seeds with their environments. Several SMs are known to be protective compounds involved in seed stress responses, thus impacting their quality. In this study, we performed untargeted metabolomic (LC-MS/MS) and transcriptomic (RNA-Seq) analyses of Arabidopsis thaliana seeds harvested at six developmental stages (Globular, Transition, Torpedo, Bent cotyledon, Mature green and Dry seed), and developed under control and warm temperature conditions. Those data provide an original and valuable resource that could be used to identify SMs and genes involved in seed heat stress responses and for the study of their regulation and functions during seed development. [ABSTRACT FROM AUTHOR]

Light/dark (LD) cycles are responsible for oscillations in gene expression, which modulate several aspects of plant physiology. Those oscillations can persist under constant conditions due to regulation by the circadian oscillator. The response of the transcriptome to light regimes is dynamic and allows plants to adapt rapidly to changing environmental conditions. We compared the transcriptome of Arabidopsis under LD and constant light (LL) for 3 days and identified different gene co‐expression networks in the two light regimes. Our studies yielded unforeseen insights into circadian regulation. Intuitively, we anticipated that gene clusters regulated by the circadian oscillator would display oscillations under LD cycles. However, we found transcripts encoding components of the flavonoid metabolism pathway that were rhythmic in LL but not in LD. We also discovered that the expressions of many stress‐related genes were significantly increased during the dark period in LD relative to the subjective night in LL, whereas the expression of these genes in the light period was similar. The nocturnal pattern of these stress‐related gene expressions suggested a form of "skotoprotection." The transcriptomics data were made available in a web application named Cyclath, which we believe will be a useful tool to contribute to a better understanding of the impact of light regimes on plants. [ABSTRACT FROM AUTHOR]

Seeds of Brassicaceae produce a large diversity of beneficial and antinutritional specialized metabolites (SMs) that influence their quality and provide resistance to stresses. While SM distribution has been described in leaves and root tissues, limited information is available about their spatiotemporal accumulation in seeds. Camelina sativa (camelina) is an oilseed Brassicaceae cultivated for human and animal nutrition and for industrial uses. While we previously explored SM diversity and plasticity, no information is available about SM distribution and expression of related proteins and genes in camelina seeds. In this study, we used a multi-omic approach, integrating untargeted metabolomics, proteomics, and transcriptomics to investigate the synthesis, modification, and degradation of SMs accumulated in camelina seed tissues (seed coat, endosperm, embryo) at six developmental and two germination stages. Metabolomic results showed distinct patterns of SMs and their related pathways, highlighting significant contrasts in seed composition and spatial distribution for the defense-related and antinutritional glucosinolate (GSL) compounds among camelina, Arabidopsis thaliana, and Brassica napus, three closely related Brassicaceae species. Notably, thanks to metabolomic and proteomic/transcriptomic techniques the variation in GSL spatial distributions was primarily driven by differences in their structure (metabolomics data) and transport (transcriptomic and proteomic data) mechanisms. Long-chain C8-C11 methylsulfinylalkyl GSLs were predominantly accumulated in the seed coat and endosperm, while mid- and short-chain C3-C7 methylsulfinylalkyl GSLs were accumulated in the embryo. Characterizing the spatial dynamics of seed SMs provides valuable insights that can guide the development of crops with optimized distribution of beneficial and toxic metabolites, improving seed nutritional profiles., (© 2025 Society for Experimental Biology and John Wiley & Sons Ltd.)