Journal of Integrative Plant Biology最新文献

Modifications to RNA have recently been recognized as a pivotal regulator of gene expression in living organisms. More than 170 chemical modifications have been identified in RNAs, with N⁶-methyladenosine (m⁶A) being the most abundant modification in eukaryotic mRNAs. The addition and removal of m⁶A marks are catalyzed by methyltransferases (referred to as “writers”) and demethylases (referred to as “erasers”), respectively. In addition, the m⁶A marks in mRNAs are recognized and interpreted by m⁶A-binding proteins (referred to as “readers”), which regulate the fate of mRNAs, including stability, splicing, transport, and translation. Therefore, exploring the mechanism underlying the m⁶A reader-mediated modulation of RNA metabolism is essential for a much deeper understanding of the epigenetic role of RNA modification in plants. Recent discoveries have improved our understanding of the functions of m⁶A readers in plant growth and development, stress response, and disease resistance. This review highlights the latest developments in m⁶A reader research, emphasizing the diverse RNA-binding domains crucial for m⁶A reader function and the biological and cellular roles of m⁶A readers in the plant response to developmental and environmental signals. Moreover, we propose and discuss the potential future research directions and challenges in identifying novel m⁶A readers and elucidating the cellular and mechanistic role of m⁶A readers in plants.

Disease resistance is often associated with compromised plant growth and yield due to defense-growth tradeoffs. However, key components and mechanisms underlying the defense-growth tradeoffs are rarely explored in maize. In this study, we find that ZmSKI3, a putative subunit of the SUPERKILLER (SKI) complex that mediates the 3′-5′ degradation of RNA, regulates both plant development and disease resistance in maize. The Zmski3 mutants showed retarded plant growth and constitutively activated defense responses, while the ZmSKI3 overexpression lines are more susceptible to Curvularia lunata and Bipolaris maydis. Consistently, the expression of defense-related genes was generally up-regulated, while expressions of growth-related genes were mostly down-regulated in leaves of the Zmski3-1 mutant compared to that of wild type. In addition, 223 differentially expressed genes that are up-regulated in Zmski3-1 mutant but down-regulated in the ZmSKI3 overexpression line are identified as potential target genes of ZmSKI3. Moreover, small interfering RNAs targeting the transcripts of the defense- and growth-related genes are differentially accumulated, likely to combat the increase of defense-related transcripts but decrease of growth-related transcripts in Zmski3-1 mutant. Taken together, our study indicates that plant growth and immunity could be regulated by both ZmSKI3-mediated RNA decay and post-transcriptional gene silencing in maize.

Light is a vital environmental signal that regulates the expression of plastid genes. Plastids are crucial organelles that respond to light, but the effects of light on plastid RNA processing following transcription remain unclear. In this study, we systematically examined the influence of light exposure on plastid RNA processing, focusing on RNA splicing and RNA editing. We demonstrated that light promotes the splicing of transcripts from the plastid genes rps12, ndhA, atpF, petB, and rpl2. Additionally, light increased the editing rate of the accD transcript at nucleotide 794 (accD-794) and the ndhF transcript at nucleotide 290 (ndhF-290), while decreasing the editing rate of the clpP transcript at nucleotide 559 (clpP-559). We have identified key regulators of signaling pathways, such as CONSTITUTIVELY PHOTOMORPHOGENIC 1 (COP1), ELONGATED HYPOCOTYL 5 (HY5), and PHYTOCHROME-INTERACTING FACTORs (PIFs), as important players in the regulation of plastid RNA splicing and editing. Notably, COP1 was required for GENOMES UNCOUPLED1 (GUN1)-dependent repression of clpP-559 editing in the light. We showed that HY5 and PIF1 bind to the promoters of nuclear genes encoding plastid-localized RNA processing factors in a light-dependent manner. This study provides insight into the mechanisms underlying light-mediated post-transcriptional regulation of plastid gene expression.

Cotton (Gossypium hirsutum) fibers are elongated single cells that rapidly accumulate cellulose during secondary cell wall (SCW) thickening, which requires cellulose synthase complex (CSC) activity. Here, we describe the CSC-interacting factor CASPARIAN STRIP MEMBRANE DOMAIN-LIKE1 (GhCASPL1), which contributes to SCW thickening by influencing CSC stability on the plasma membrane. GhCASPL1 is preferentially expressed in fiber cells during SCW biosynthesis and encodes a MARVEL domain protein. The ghcaspl1 ghcaspl2 mutant exhibited reduced plant height and produced mature fibers with fewer natural twists, lower tensile strength, and a thinner SCW compared to the wild type. Similarly, the Arabidopsis (Arabidopsis thaliana) caspl1 caspl2 double mutant showed a lower cellulose content and thinner cell walls in the stem vasculature than the wild type but normal plant morphology. Introducing the cotton gene GhCASPL1 successfully restored the reduced cellulose content of the Arabidopsis caspl1 caspl2 mutant. Detergent treatments, ultracentrifugation assays, and enzymatic assays showed that the CSC in the ghcaspl1 ghcaspl2 double mutant showed reduced membrane binding and decreased enzyme activity compared to the wild type. GhCASPL1 binds strongly to phosphatidic acid (PA), which is present in much higher amounts in thickening fiber cells compared to ovules and leaves. Mutating the PA-binding site in GhCASPL1 resulted in the loss of its colocalization with GhCesA8, and it failed to localize to the plasma membrane. PA may alter membrane structure to facilitate protein–protein interactions, suggesting that GhCASPL1 and PA collaboratively stabilize the CSC. Our findings shed light on CASPL functions and the molecular machinery behind SCW biosynthesis in cotton fibers.

Ethylene treatment promotes orange coloration in the flavedo of Satsuma mandarin (Citrus unshiu Marc.) fruit, but the corresponding regulatory mechanism is still largely unknown. In this study, we identified a C2H2-type zinc-finger transcription factor, CitZAT4, the expression of which was markedly induced by ethylene. CitZAT4 directly binds to the CitPSY promoter and activates its expression, thereby promoting carotenoid biosynthesis. Transient expression in Satsuma mandarin fruit and stable transformation of citrus calli showed that overexpressing of CitZAT4 inhibited CitLCYE expression, thus inhibiting α-branch yellow carotenoid (lutein) biosynthesis. CitZAT4 overexpression also enhanced the transcript levels of CitLCYB, CitHYD, and CitNCED2, promoting β-branch orange carotenoid accumulation. Molecular biochemical assays, including yeast one-hybrid (Y1H), electrophoretic mobility shift (EMSA), chromatin immunoprecipitation quantitative polymerase chain reaction (ChIP-qPCR), and luciferase (LUC) assays, demonstrated that CitZAT4 directly binds to the promoters of its target genes and regulates their expression. An ethylene response factor, CitERF061, which is induced by ethylene signaling, was found to directly bound to the CitZAT4 promoter and induced its expression, thus positively regulating CitZAT4-mediated orange coloration in citrus fruit. Together, our findings reveal that a CitZAT4-mediated transcriptional cascade is driven by ethylene via CitERF061, linking ethylene signaling to carotenoid metabolism in promoting orange coloration in the flavedo of Satsuma mandarin fruit. The molecular regulatory mechanism revealed here represents a significant step toward developing strategies for improving the quality and economic efficiency of citrus crops.

Although the frequency of ancient hybridization across the Tree of Life is greater than previously thought, little work has been devoted to uncovering the extent, timeline, and geographic and ecological context of ancient hybridization. Using an expansive new dataset of nuclear and chloroplast DNA sequences, we conducted a multifaceted phylogenomic investigation to identify ancient reticulation in the early evolution of oaks (Quercus). We document extensive nuclear gene tree and cytonuclear discordance among major lineages of Quercus and relatives in Quercoideae. Our analyses recovered clear signatures of gene flow against a backdrop of rampant incomplete lineage sorting, with gene flow most prevalent among major lineages of Quercus and relatives in Quercoideae during their initial radiation, dated to the Early-Middle Eocene. Ancestral reconstructions including fossils suggest ancestors of Castanea + Castanopsis, Lithocarpus, and the Old World oak clade probably co-occurred in North America and Eurasia, while the ancestors of Chrysolepis, Notholithocarpus, and the New World oak clade co-occurred in North America, offering ample opportunity for hybridization in each region. Our study shows that hybridization-perhaps in the form of ancient syngameons like those seen today-has been a common and important process throughout the evolutionary history of oaks and their relatives. Concomitantly, this study provides a methodological framework for detecting ancient hybridization in other groups.

Cotton fiber length is basically determined by well-coordinated gene expression and phosphatidylinositol phosphates (PIPs) accumulation during fiber elongation but the regulatory mechanism governing PIPs transport remains unknown. Here, we report a MYB transcription factor GhMYB30D04 in Gossypium hirsutum that promotes fiber elongation through modulating the expression of PIP transporter gene GhLTPG1. Knockout of GhMYB30D04 gene in cotton (KO) results in a reduction of GhLTPG1 transcripts with lower accumulation of PIPs, leading to shorter fibers and lower fiber yield. Conversely, GhMYB30D04 overexpression (GhMYB30D04-OE) causes richer PIPs and longer cotton fibers, mimicking the effects of exogenously applying PIPs on the ovules of GhMYB30D04-KO and wild type. Furthermore, GhMYB30D04 interacts with GhHD1, the crucial transcription factor of fiber initiation, to form an activation complex stabilized by PIPs, both of which upregulate GhLTPG1 expression. Comparative omics-analysis revealed that higher and extended expressions of LTPG1 in fiber elongation mainly correlate with the variations of the GhMYB30D04 gene between two cotton allotetraploids, contributing to longer fiber in G. babardense. Our work clarifies a mechanism by which GhHD1–GhMYB30D04 form a regulatory module of fiber elongation to tightly control PIP accumulation. Our work still has an implication that GhMYB30D04–GhHD1 associates with development transition from fiber initiation to elongation.

The phenotype of rice clustered spikelet mutants results from the upregulation of the FAD/NAD(P)-binding oxidoreductase family gene OsFAD1. Enhanced interaction between OsFAD1 and the transcription factor OsMYBR22 leads to the upregulation of the spikelet clustering-related BR catabolic gene BRD3.

The utilization of metabolomics approaches to explore the metabolic mechanisms underlying plant fitness and adaptation to dynamic environments is growing, highlighting the need for an efficient and user-friendly toolkit tailored for analyzing the extensive datasets generated by metabolomics studies. Current protocols for metabolome data analysis often struggle with handling large-scale datasets or require programming skills. To address this, we present MetMiner (https://github.com/ShawnWx2019/MetMiner), a user-friendly, full-functionality pipeline specifically designed for plant metabolomics data analysis. Built on R shiny, MetMiner can be deployed on servers to utilize additional computational resources for processing large-scale datasets. MetMiner ensures transparency, traceability, and reproducibility throughout the analytical process. Its intuitive interface provides robust data interaction and graphical capabilities, enabling users without prior programming skills to engage deeply in data analysis. Additionally, we constructed and integrated a plant-specific mass spectrometry database into the MetMiner pipeline to optimize metabolite annotation. We have also developed MDAtoolkits, which include a complete set of tools for statistical analysis, metabolite classification, and enrichment analysis, to facilitate the mining of biological meaning from the datasets. Moreover, we propose an iterative weighted gene co-expression network analysis strategy for efficient biomarker metabolite screening in large-scale metabolomics data mining. In two case studies, we validated MetMiner's efficiency in data mining and robustness in metabolite annotation. Together, the MetMiner pipeline represents a promising solution for plant metabolomics analysis, providing a valuable tool for the scientific community to use with ease.

Following a season of diligent cultivation, the rice plants are ready for harvest. However, some rice plants have not headed yet and so are left unharvested in the fields. This delay is caused by infection with rice stripe mosaic virus, a newly emerged rice virus in southern China. Chen et al. (pages 2000-2016) demonstrated that the virus-encoded protein P6 hijacks the rice heading-related E3 ubiquitin ligase HAF1, leading to delayed heading. The infected plants that are left unharvested offer a conducive environment for the virus and its carrier, the leafhopper Recilia dorsalis, to overwinter.