{"title":"Sustainable and secretory production of saffron pigments in Synechocystis sp. PCC 6803 and E. coli.","authors":"Shanshan Song, Fatimah Aljedaani, Kit Xi Liew, Jianing Mi, Mohamed Salem, Salim Bougouffa, Sebastian Overmans, Kyle J Lauersen, Xiongjie Zheng, Salim Al-Babili","doi":"10.1016/j.xplc.2025.101388","DOIUrl":"https://doi.org/10.1016/j.xplc.2025.101388","url":null,"abstract":"","PeriodicalId":52373,"journal":{"name":"Plant Communications","volume":" ","pages":"101388"},"PeriodicalIF":9.4,"publicationDate":"2025-05-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144182629","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"生物学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Zhenzhen Zhang, Hongliang Zhang, Lei Feng, Antong Wang, Zijie Lin, Cunyi Tan, Efren Gonzalez, Tarabryn Grismer, Shou-Ling Xu, Zhi-Yong Wang
{"title":"UPL3 Promotes BZR1 Degradation, Growth Arrest, and Seedling Survival under Starvation Stress in Arabidopsis.","authors":"Zhenzhen Zhang, Hongliang Zhang, Lei Feng, Antong Wang, Zijie Lin, Cunyi Tan, Efren Gonzalez, Tarabryn Grismer, Shou-Ling Xu, Zhi-Yong Wang","doi":"10.1016/j.xplc.2025.101389","DOIUrl":"https://doi.org/10.1016/j.xplc.2025.101389","url":null,"abstract":"<p><p>Sugar regulation of hormonal signaling is crucial for optimizing growth under normal conditions and survival under environmental stresses. Previous studies indicate that sugar starvation causes the degradation of BRASSINAZOLE RESISTANT 1 (BZR1), the master transcription factor of the brassinosteroid (BR) signaling pathway, to inhibit growth. The molecular connection between sugar signaling and BZR1 degradation remains unknown. To identify the proteins that mediate starvation-induced BZR1 degradation, here, we performed a quantitative proteomic analysis of BZR1 interactome under starvation and identified UBIQUITIN PROTEIN LIGASE 3 (UPL3) as a sugar-regulated protein that mediates BZR1 degradation and regulates growth and survival according to sugar availability. The upl3 mutants show increased BZR1 accumulation and seedling size compared to the wild type when grown under sugar-limiting conditions but not when grown on sugar-containing media, indicating UPL3 mediates BZR1 degradation and growth inhibition under sugar-limiting conditions. While increasing growth under short-term starvation, the upl3 mutations substantially reduced survival after long-term starvation treatment. The increased-growth phenotype of upl3 is also observed when Target Of Rapamycin (TOR) is inactivated but not when BR synthesis is blocked, consistent with UPL3 regulating BZR1 degradation downstream of sugar-TOR signaling. Further, the UPL3 protein level is increased post-transcriptionally by starvation and TOR inhibition but decreased by sugar treatment. Our study identifies UPL3 as a key molecular link for sugar regulation of BR signaling. Sugar-TOR signaling inhibits UPL3 to promote BZR1 accumulation and growth, thereby optimizing growth and survival according to sugar availability.</p>","PeriodicalId":52373,"journal":{"name":"Plant Communications","volume":" ","pages":"101389"},"PeriodicalIF":9.4,"publicationDate":"2025-05-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144183017","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"生物学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Harnessing the acid growth theory to optimize apoplastic acidification for enhancing cotton fiber elongation.","authors":"Cheng Li, Roshan Zameer, Leidi Liu, Qing Wen, Yuge Zheng, Jurui Zheng, Chengde Yu, Guoli Song, Chun-Peng Song, Zhifang Li, Changsong Zou","doi":"10.1016/j.xplc.2025.101390","DOIUrl":"https://doi.org/10.1016/j.xplc.2025.101390","url":null,"abstract":"<p><p>Cotton (Gossypium spp.), a major global fiber crop, serves as an ideal model for plant cell development research. According to the acid growth theory, plasma membrane (PM) H<sup>+</sup>-ATPase (HA) regulates cell wall acidification, thereby promoting cell elongation and providing a mechanistic framework for understanding this process. However, its application to cotton fiber cells has been limited. In this study, the acid growth theory was employed to investigate the elongation of cotton fibers. Comparative genomics revealed an expansion in the number of gene family members associated with acid growth, including PM HA and transmembrane kinase (TMK) genes, in tetraploid cotton. Transcriptomic analysis highlighted the co-expression of these genes during fiber elongation. Functional validation using chemical modulators and CRISPR/Cas9-mediated knockout mutants demonstrated that PM HA activity is essential for apoplastic acidification and fiber elongation. Specifically, GhHA4A and GhTMK3A were found to be potentially involved in regulating proton extrusion, as their loss-of-function mutants exhibited elevated apoplastic pH and reduced fiber length. Furthermore, we found that an optimal apoplastic pH is required for fiber elongation, while insufficient or excessive acidification inhibits growth. Spatiotemporally modulating PM HA activity in transgenic cotton plants enhanced fiber length without affecting other fiber- and seed-related traits, demonstrating the potential of the acid growth theory for fiber improvement. These findings not only extend the acid growth theory beyond traditional model systems but also provide an innovative strategy for increasing fiber length in cotton breeding.</p>","PeriodicalId":52373,"journal":{"name":"Plant Communications","volume":" ","pages":"101390"},"PeriodicalIF":9.4,"publicationDate":"2025-05-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144182493","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"生物学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"BBX24/BBX25 antagonizes the function of thermosensor ELF3 to promote PIF4-mediated thermomorphogenesis in Arabidopsis.","authors":"Bidhan Chandra Malakar, Shivani Singh, Vikas Garhwal, Rajanesh Chandramohan, Gouranga Upadhyaya, Vishmita Sethi, Sreeramaiah N Gangappa","doi":"10.1016/j.xplc.2025.101391","DOIUrl":"https://doi.org/10.1016/j.xplc.2025.101391","url":null,"abstract":"<p><p>Temperature serves as a crucial environmental cue governing the growth and adaptation of plants in their natural habitat. PHYTOCHROME INTERACTING FACTOR 4 (PIF4) is a central regulator that promotes thermomorphogenesis in Arabidopsis. Understanding its precise regulation is critical for optimal thermomorphogenic growth. Here, we identified two BBX proteins, BBX24 and BBX25, as novel components of the PIF4-mediated thermosensory pathway and act to promote warm temperature-mediated growth. The bbx24 and bbx25 single and double mutants showed moderate to strong temperature-insensitive hypocotyl and cotyledon growth. Warm temperature induces BBX24 and BBX25 mRNA expression and protein accumulation. Genetic and biochemical analysis revealed that BBX24/BBX25 promotes PIF4-mediated thermosensory growth by counteracting a key component of the evening complex, ELF3. While ELF3 inhibits BBX24/BBX25 gene expression at low ambient temperatures in the evening, warm temperature-mediated inhibition of ELF3 activity results in enhanced BBX24/BBX25 activity. Moreover, BBX24/BBX25 inhibit ELF3 function through direct physical interaction and likely relieve repression on PIF4, enhancing its activity and thermomorphogenesis. This study unravels ELF3-BBX24/BBX25-PIF4 as a key regulatory module that controls growth and development under varying temperature cues.</p>","PeriodicalId":52373,"journal":{"name":"Plant Communications","volume":" ","pages":"101391"},"PeriodicalIF":9.4,"publicationDate":"2025-05-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144182775","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"生物学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Integrating genome editing with omics, artificial intelligence and advanced farming technologies to increase crop productivity.","authors":"Abigail Bradbury, Olivia Clapp, Anna-Sara Biacsi, Pallas Kuo, Oorbessy Gaju, Sadiye Hayta, Jian-Kang Zhu, Christophe Lambing","doi":"10.1016/j.xplc.2025.101386","DOIUrl":"https://doi.org/10.1016/j.xplc.2025.101386","url":null,"abstract":"<p><p>Celebrated for boosting agricultural productivity and enhancing food security worldwide, the green revolution constituted some of the most significant advances in crop production within the 20<sup>th</sup> century. Many recent studies, however, have identified occurrences of crop yield stagnation in certain areas of the world, with worries that global yield gains are no longer sufficient to feed an exponentially growing world population. Here, we review the current issues facing global crop production and discuss the role of genome editing technologies in overcoming yield stagnation and current legislative bottlenecks in the use of genome editing on crops. We explore strategies to integrate genome editing with omics, artificial intelligence, robotics and advanced farming technologies for major advancements in crop performance. To achieve real-world yield improvements, agricultural practices must also evolve. This review discusses how precision farming approaches, combining satellite technology, AI-driven decision support and real-time monitoring, can support climate-adaptive and sustainable farming. Going forward, it will be essential to address issues throughout the pipeline to fully integrate fast-developing genome editing technologies with other advanced technologies in global agriculture, so the industry can keep up with the changing environment and ensure future food security.</p>","PeriodicalId":52373,"journal":{"name":"Plant Communications","volume":" ","pages":"101386"},"PeriodicalIF":9.4,"publicationDate":"2025-05-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144180454","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"生物学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Fast3VmrMLM: A fast algorithm that integrates genome-wide scanning with machine learning to accelerate gene mining and breeding by design for polygenic traits in large-scale GWAS datasets.","authors":"Jingtian Wang, Ying Chen, Guoping Shu, Miaomiao Zhao, Ao Zheng, Xiaoyu Chang, Guiqi Li, Yibo Wang, Yuan-Ming Zhang","doi":"10.1016/j.xplc.2025.101385","DOIUrl":"https://doi.org/10.1016/j.xplc.2025.101385","url":null,"abstract":"<p><p>Genetic dissection and breeding by design for polygenic traits remain challenges. To meet these challenges, it is important to identify as many genes as possible and key genes. Therefore, here, a genome-wide scanning plus machine learning framework was developed and integrated with advanced computational techniques to propose a novel algorithm called Fast3VmrMLM to mine more and key genes for polygenic traits in the era of big data and artificial intelligence. The algorithm was also extended to identify haplotype (Fast3VmrMLM-Hap) and molecular (Fast3VmrMLM-mQTL) variants. In simulation studies, Fast3VmrMLM outperformed existing methods in detecting dominant, small and rare variants, taking 3.30 and 5.43 hours (20 threads) to analyze the 18K rice and UK biobank-scale datasets, respectively. Fast3VmrMLM identified more known (211) and candidate (384) genes for 14 traits in the 18K rice dataset than FarmCPU (100 known genes), while Fast3VmrMLM identified 26 known and 24 candidate genes for 7 yield-related traits in a maize NC II design and Fast3VmrMLM-mQTL identified two known soybean genes around structural variants. We demonstrated that the new two-step framework outperformed genome-wide scanning alone. In breeding by design, a genetic network constructed by machine learning using all known/candidate genes in this study identified 21 key genes for rice yield-related traits, while all the associated markers gave high prediction accuracies in rice (0.7443) and maize (0.8492) and excellent hybrid combinations. A new breeding by design strategy based on the identified key genes was also proposed. This study provides an excellent method for gene mining and breeding by design.</p>","PeriodicalId":52373,"journal":{"name":"Plant Communications","volume":" ","pages":"101385"},"PeriodicalIF":9.4,"publicationDate":"2025-05-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144136518","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"生物学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Hyeonmin Ryu, Sejin Choi, Mengwei Cheng, Bon-Kyoung Koo, Eun Yu Kim, Ho-Seok Lee, Du-Hwa Lee
{"title":"Flagellin Sensing, Signaling, and Immune Responses in Plants.","authors":"Hyeonmin Ryu, Sejin Choi, Mengwei Cheng, Bon-Kyoung Koo, Eun Yu Kim, Ho-Seok Lee, Du-Hwa Lee","doi":"10.1016/j.xplc.2025.101383","DOIUrl":"https://doi.org/10.1016/j.xplc.2025.101383","url":null,"abstract":"<p><p>The flagellin sensing mechanism is one of the most extensively studied topics in plant defense systems. This widespread interest arises from its ability to trigger robust and extensive responses, establishing it as a cornerstone for research into other defense mechanisms. Plants recognize bacterial flagellin epitopes through plasma membrane-localized pattern recognition receptors, initiating pattern-triggered immunity as the front line of defense against bacterial pathogens. In this review, we comprehensively summarize the flagellin sensing mechanisms and signal transduction pathways in plants. We compare flagellin sensing mechanisms between plants and mammals, focusing on epitope processing and recognition. We present detailed downstream signaling events from receptor complex formation to transcriptional reprogramming. Furthermore, we highlight the evolutionary arms race between plants and bacteria and integrate emerging insights into the modulation of flagellin-triggered responses by receptor networking, phytocytokines, and environmental factors. These findings suggest that flagellin-mediated immune responses are highly dynamic and context-dependent. By synthesizing current knowledge with recent discoveries, this review provides updated perspectives on plant-microbe interactions and aims to inspire future research in plant immunity.</p>","PeriodicalId":52373,"journal":{"name":"Plant Communications","volume":" ","pages":"101383"},"PeriodicalIF":9.4,"publicationDate":"2025-05-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144121492","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"生物学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}