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ABSTRACT Mineral nutrients are essential for plant growth, development and crop yield. Under mineral deficient conditions, plants rely on a sophisticated network of signalling pathways to coordinate their molecular, physiological, and morphological responses. Recent research has shown that long‐distance signalling pathways play a pivotal role in maintaining mineral homeostasis and optimising growth. This review explores the intricate mechanisms of long‐distance signalling under mineral deficiencies, emphasising its importance as a communication network between roots and shoots. Through the vascular tissues, plants transport an array of signalling molecules, including phytohormones, small RNAs, proteins, small peptides, and mobile mRNAs, to mediate systemic responses. Vascular tissues, particularly companion cells, are critical hubs for sensing and relaying mineral deficiency signals, leading to rapid changes in mineral uptake and optimised root morphology. We highlight the roles of key signalling molecules in regulating mineral acquisition and stress adaptation. Advances in molecular tools, including TRAP‐Seq, heterografting, and single‐cell RNA sequencing, have recently unveiled novel aspects of long‐distance signalling and its regulatory components. These insights underscore the essential role of vascular‐mediated communication in enabling plants to navigate heterogeneous mineral distribution environments and suggest new avenues for improving crop resilience and mineral use efficiency. 

Abstract Alternative transcription initiation (ATI) appears to be a ubiquitous regulatory mechanism of gene expression in eukaryotes. However, the extent to which it affects the products of gene expression and how it evolves and is regulated remain unknown. Here, we report genome-wide identification and analysis of transcription start sites (TSSs) in various soybean (Glycine max) tissues using a survey of transcription initiation at promoter elements with high-throughput sequencing (STRIPE-seq). We defined 193,579 TSS clusters/regions (TSRs) in 37,911 annotated genes, with 56.5% located in canonical regulatory regions and 43.5% from start codons to 3′ untranslated regions, which were responsible for changes in open reading frames of 24,131 genes. Strikingly, 6,845 genes underwent ATI within coding sequences (CDSs). These CDS-TSRs were tissue-specific, did not have TATA-boxes typical of canonical promoters, and were embedded in nucleosome-free regions flanked by nucleosomes with enhanced levels of histone marks potentially associated with intragenic transcriptional initiation, suggesting that ATI within CDSs was epigenetically tuned and associated with tissue-specific functions. Overall, duplicated genes possessed more TSRs, exhibited lower degrees of tissue specificity, and underwent stronger purifying selection than singletons. This study highlights the significance of ATI and the genomic and epigenomic factors shaping the distribution of ATI in CDSs in a paleopolyploid eukaryote. 

Multivariate spatial point process models can describe heterotopic data over space. However, highly multivariate intensities are computationally challenging due to the curse of dimensionality. To bridge this gap, we introduce a declustering based hidden variable model that leads to an efficient inference procedure via a variational autoencoder (VAE). We also prove that this model is a generalization of the VAE-based model for collaborative filtering. This leads to an interesting application of spatial point process models to recommender systems. Experimental results show the method’s utility on both synthetic data and real-world data sets.