Trends in Plant Science最新文献

Plants intricately regulate the expression of protein-coding genes at multiple stages - including mRNA transcription, translation, decay, and protein degradation - to control growth, development, and responses to environmental challenges. Recent research highlights the importance of translational reprogramming as a pivotal mechanism in regulating gene expression across diverse physiological scenarios. This regulatory mechanism bears practical implications, particularly in bolstering crop productivity by manipulating RNA regulatory elements (RREs) to modulate heterologous gene expression through transgene and endogenous gene expression through gene editing. Here, we elucidate the potential of upstream open reading frames (uORFs), a prominent and stringent class of RREs, in optimizing crop performance, exemplifying the efficacy of translational control in enhancing agricultural yields.

Statistical machine learning (ML) extracts patterns from extensive genomic, phenotypic, and environmental data. ML algorithms automatically identify relevant features and use cross-validation to ensure robust models and improve prediction reliability in new lines. Furthermore, ML analyses of genotype-by-environment (G×E) interactions can offer insights into the genetic factors that affect performance in specific environments. By leveraging historical breeding data, ML streamlines strategies and automates analyses to reveal genomic patterns. In this review we examine the transformative impact of big data, including multi-trait genomics, phenomics, and environmental covariables, on genomic-enabled prediction in plant breeding. We discuss how big data and ML are revolutionizing the field by enhancing prediction accuracy, deepening our understanding of G×E interactions, and optimizing breeding strategies through the analysis of extensive and diverse datasets.

Salt contamination of soils and irrigation water is a significant environmental concern for crop production. Leaf sodium (Na⁺) exclusion is commonly proposed to be a key subtrait of salt tolerance for many crop plants. High-Affinity Potassium (K⁺) Transporter 1 (HKT1) proteins have previously been identified as major controllers of leaf Na⁺ exclusion across diverse species. However, leaf Na⁺ exclusion does not always correlate with salt tolerance. We discuss literature which shows leaf Na⁺ accumulation can, in some circumstances, be tolerated without a detrimental effect on yield when HKT1 still functions to exclude Na⁺ from reproductive tissues. We conclude that, by having an ultimate role in the protection of reproductive performance, HKT1s' role in adaptation to salinity warrants redefinition.

Chloroplast proteostasis relies on diverse proteases, including the essential Clp chaperone-protease system. Two chloroplast ClpC AAA+ chaperones and the plant-specific adaptor ClpF contain an Uvr motif with predicted coiled-coiled structures implicated in protein-protein interactions. Head-to-head contacts between Uvr motifs in middle (M)-domains regulate the oligomerization and activation of several bacterial Clp chaperones. Interestingly, in arabidopsis (Arabidopsis thaliana), this Uvr motif is found in six additional chloroplast proteins (Executer1, Executer2, and Uvr1-4). Here, we first summarize evidence that Uvr motifs regulate proteostasis in bacteria. Based on this evidence and recent results in arabidopsis, we postulate that arabidopsis Uvr motif proteins regulate chloroplast Clp proteolysis. We propose specific working hypotheses to test the function of the Uvr motif in chloroplast proteostasis.

Lateral root (LR) formation is a postembryonic organogenesis process that is crucial for plant root system development and adaptation to heterogenous soil environments. Since the early 1990s, a wealth of experimental data on arabidopsis (Arabidopsis thaliana) has helped reveal the LR formation regulatory network, in which dynamic auxin distribution and transcriptional cascades direct root cells through their organogenesis pathway. Some parts of this network appear conserved across diverse plant species or distinct developmental contexts. Recently, our knowledge of this process dramatically expanded thanks to technical advances, from single cell profiling to whole-root system phenotyping. Interestingly, new players are now emerging in this network, such as fatty acids and reactive oxygen species (ROS), transforming our knowledge of this hidden half of plant biology.

During their evolution from cyanobacteria, plastids have relinquished most of their genes to the host cell nucleus, but have retained a core set of genes that are transcribed and translated within the organelle. Previous explanations have included incompatible codon or base composition, problems importing certain proteins across the double membrane, or the need for tight regulation in concert with the redox status of the electron transport chain. In this opinion article we propose the 'mRNA targeting hypothesis'. Studies in cyanobacteria suggest that mRNAs encoding core photosynthetic proteins have features that are crucial for membrane targeting and coordination of early steps in complex assembly. We propose that the requirement for intimate involvement of mRNA molecules at the thylakoid surface explains the retention of core photosynthetic genes in chloroplasts.

Research has shown that acclimatizing plant-associated microbiomes through repeated cycles of selection pressure can enhance plant resilience to abiotic stresses. A recent study by Enders et al. expanded this concept by selecting plant-associated microbiomes for insect resistance, paving the way for microbiome engineering to enhance plant fitness.

Abscisic acid (ABA) and the AP2/ERF (APETALA 2/ETHYLENE-RESPONSIVE FACTOR)-type transcription factor ABA INSENSITIVE 4 (ABI4) control plant growth and development. We review how singlet oxygen, which is produced in chloroplasts of the fluorescent mutant of Arabidopsis thaliana (arabidopsis), and ABI4 may cooperate in transcriptional and translational reprogramming to cause plants to halt growth or demise. Key elements of singlet oxygen- and ABI4-dependent chloroplast-to-nucleus retrograde signaling involve the chloroplast EXECUTER (EX) 1 and EX2 proteins as well as nuclear WRKY transcription factors. Mutants designed to study singlet oxygen signaling, that lack either ABI4 or the EX1 and EX2 proteins, do not show most of the growth effects of singlet oxygen. We propose a model that positions ABI4 downstream of WRKY transcription factors and EX1 and EX2.

Secondary metabolism is crucial for plant survival and can generate chemistry with nutritional, therapeutic, and industrial value. Biosynthetic genes of selected secondary metabolites cluster within localised chromosomal regions. The arrangement of these biosynthetic gene clusters (BGCs) challenges the long-held model of random gene order in eukaryotes, raising questions about their regulation, ecological significance, and evolution. In this review, we address these questions by exploring the contribution of BGCs to ecologically relevant plant-biotic interactions, while also evaluating the molecular-(epi)genetic mechanisms controlling their coordinated stress- and tissue-specific expression. Based on evidence that BGCs have distinct chromatin signatures and are enriched with transposable elements (TEs), we integrate emerging hypotheses into an updated evolutionary model emphasising how stress-induced epigenetic processes have shaped BGC formation.

In a recent study, Satterlee et al. found that the repeated emergence of prickleless varieties in Solanaceae species is a convergent trait caused by loss of function in the cytokinin-activating enzyme LONELY GUY (LOG). New prickleless forms can be created in wild and domesticated forms using gene editing.