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Huo Q, Song R, Ma Z. Recent advances in exploring transcriptional regulatory landscape of crops. FRONTIERS IN PLANT SCIENCE 2024; 15:1421503. [PMID: 38903438 PMCID: PMC11188431 DOI: 10.3389/fpls.2024.1421503] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 04/22/2024] [Accepted: 05/23/2024] [Indexed: 06/22/2024]
Abstract
Crop breeding entails developing and selecting plant varieties with improved agronomic traits. Modern molecular techniques, such as genome editing, enable more efficient manipulation of plant phenotype by altering the expression of particular regulatory or functional genes. Hence, it is essential to thoroughly comprehend the transcriptional regulatory mechanisms that underpin these traits. In the multi-omics era, a large amount of omics data has been generated for diverse crop species, including genomics, epigenomics, transcriptomics, proteomics, and single-cell omics. The abundant data resources and the emergence of advanced computational tools offer unprecedented opportunities for obtaining a holistic view and profound understanding of the regulatory processes linked to desirable traits. This review focuses on integrated network approaches that utilize multi-omics data to investigate gene expression regulation. Various types of regulatory networks and their inference methods are discussed, focusing on recent advancements in crop plants. The integration of multi-omics data has been proven to be crucial for the construction of high-confidence regulatory networks. With the refinement of these methodologies, they will significantly enhance crop breeding efforts and contribute to global food security.
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Affiliation(s)
| | | | - Zeyang Ma
- State Key Laboratory of Maize Bio-breeding, Frontiers Science Center for Molecular Design Breeding, Joint International Research Laboratory of Crop Molecular Breeding, National Maize Improvement Center, College of Agronomy and Biotechnology, China Agricultural University, Beijing, China
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2
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Bohn L, Huang J, Weidig S, Yang Z, Heidersberger C, Genty B, Falter-Braun P, Christmann A, Grill E. The temperature sensor TWA1 is required for thermotolerance in Arabidopsis. Nature 2024; 629:1126-1132. [PMID: 38750356 PMCID: PMC11136664 DOI: 10.1038/s41586-024-07424-x] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/26/2023] [Accepted: 04/15/2024] [Indexed: 05/31/2024]
Abstract
Plants exposed to incidences of excessive temperatures activate heat-stress responses to cope with the physiological challenge and stimulate long-term acclimation1,2. The mechanism that senses cellular temperature for inducing thermotolerance is still unclear3. Here we show that TWA1 is a temperature-sensing transcriptional co-regulator that is needed for basal and acquired thermotolerance in Arabidopsis thaliana. At elevated temperatures, TWA1 changes its conformation and allows physical interaction with JASMONATE-ASSOCIATED MYC-LIKE (JAM) transcription factors and TOPLESS (TPL) and TOPLESS-RELATED (TPR) proteins for repressor complex assembly. TWA1 is a predicted intrinsically disordered protein that has a key thermosensory role functioning through an amino-terminal highly variable region. At elevated temperatures, TWA1 accumulates in nuclear subdomains, and physical interactions with JAM2 and TPL appear to be restricted to these nuclear subdomains. The transcriptional upregulation of the heat shock transcription factor A2 (HSFA2) and heat shock proteins depended on TWA1, and TWA1 orthologues provided different temperature thresholds, consistent with the sensor function in early signalling of heat stress. The identification of the plant thermosensors offers a molecular tool for adjusting thermal acclimation responses of crops by breeding and biotechnology, and a sensitive temperature switch for thermogenetics.
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Affiliation(s)
- Lisa Bohn
- Chair of Botany, TUM School of Life Sciences Weihenstephan, Technische Universität München (TUM), Freising, Germany
| | - Jin Huang
- Chair of Botany, TUM School of Life Sciences Weihenstephan, Technische Universität München (TUM), Freising, Germany
- Chengdu Newsun Crop Science, Chengdu, China
| | - Susan Weidig
- Chair of Botany, TUM School of Life Sciences Weihenstephan, Technische Universität München (TUM), Freising, Germany
| | - Zhenyu Yang
- Chair of Botany, TUM School of Life Sciences Weihenstephan, Technische Universität München (TUM), Freising, Germany
| | - Christoph Heidersberger
- Chair of Botany, TUM School of Life Sciences Weihenstephan, Technische Universität München (TUM), Freising, Germany
| | - Bernard Genty
- Aix-Marseille University, Commissariat à l'Energie Atomique (CEA), Centre National de la Recherche Scientifique (CNRS), Institut de Biosciences et Biotechnologies Aix-Marseille, Saint-Paul-lez-Durance, France
| | - Pascal Falter-Braun
- Institute of Network Biology (INET), Molecular Targets and Therapeutics Center (MTTC), Helmholtz Center Munich, German Research Center for Environmental Health, Munich, Germany
- Microbe-Host Interactions, Faculty of Biology, Ludwig-Maximilians-Universität (LMU) München, Munich, Germany
| | - Alexander Christmann
- Chair of Botany, TUM School of Life Sciences Weihenstephan, Technische Universität München (TUM), Freising, Germany.
| | - Erwin Grill
- Chair of Botany, TUM School of Life Sciences Weihenstephan, Technische Universität München (TUM), Freising, Germany.
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Gasperini D, Howe GA. Phytohormones in a universe of regulatory metabolites: lessons from jasmonate. PLANT PHYSIOLOGY 2024; 195:135-154. [PMID: 38290050 PMCID: PMC11060663 DOI: 10.1093/plphys/kiae045] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 10/27/2023] [Revised: 01/05/2024] [Accepted: 01/05/2024] [Indexed: 02/01/2024]
Abstract
Small-molecule phytohormones exert control over plant growth, development, and stress responses by coordinating the patterns of gene expression within and between cells. Increasing evidence indicates that currently recognized plant hormones are part of a larger group of regulatory metabolites that have acquired signaling properties during the evolution of land plants. This rich assortment of chemical signals reflects the tremendous diversity of plant secondary metabolism, which offers evolutionary solutions to the daunting challenges of sessility and other unique aspects of plant biology. A major gap in our current understanding of plant regulatory metabolites is the lack of insight into the direct targets of these compounds. Here, we illustrate the blurred distinction between classical phytohormones and other bioactive metabolites by highlighting the major scientific advances that transformed the view of jasmonate from an interesting floral scent to a potent transcriptional regulator. Lessons from jasmonate research generally apply to other phytohormones and thus may help provide a broad understanding of regulatory metabolite-protein interactions. In providing a framework that links small-molecule diversity to transcriptional plasticity, we hope to stimulate future research to explore the evolution, functions, and mechanisms of perception of a broad range of plant regulatory metabolites.
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Affiliation(s)
- Debora Gasperini
- Department of Molecular Signal Processing, Leibniz Institute of Plant Biochemistry, Halle 06120, Germany
| | - Gregg A Howe
- Department of Energy-Plant Research Laboratory, Michigan State University, East Lansing, MI 48824, USA
- Department of Biochemistry and Molecular Biology, Michigan State University, East Lansing, MI 48824, USA
- Plant Resilience Institute, Michigan State University, East Lansing, MI 42284, USA
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4
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Mittal D, Gautam JK, Varma M, Laie A, Mishra S, Behera S, Vadassery J. External jasmonic acid isoleucine mediates amplification of plant elicitor peptide receptor (PEPR) and jasmonate-based immune signalling. PLANT, CELL & ENVIRONMENT 2024; 47:1397-1415. [PMID: 38229005 DOI: 10.1111/pce.14812] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 06/28/2022] [Revised: 12/21/2023] [Accepted: 12/31/2023] [Indexed: 01/18/2024]
Abstract
Jasmonic acid-isoleucine (JA-Ile) is a plant defence hormone whose cellular levels are elevated upon herbivory and regulate defence signalling. Despite their pivotal role, our understanding of the rapid cellular perception of bioactive JA-Ile is limited. This study identifies cell type-specific JA-Ile-induced Ca2+ signal and its role in self-amplification and plant elicitor peptide receptor (PEPR)-mediated signalling. Using the Ca2+ reporter, R-GECO1 in Arabidopsis, we have characterized a monophasic and sustained JA-Ile-dependent Ca2+ signature in leaf epidermal cells. The rapid Ca2+ signal is independent of positive feedback by the JA-Ile receptor, COI1 and the transporter, JAT1. Microarray analysis identified up-regulation of receptors, PEPR1 and PEPR2 upon JA-Ile treatment. The pepr1 pepr2 double mutant in R-GECO1 background exhibits impaired external JA-Ile induced Ca2+ cyt elevation and impacts the canonical JA-Ile responsive genes. JA responsive transcription factor, MYC2 binds to the G-Box motif of PEPR1 and PEPR2 promoter and activates their expression upon JA-Ile treatment and in myc2 mutant, this is reduced. External JA-Ile amplifies AtPep-PEPR pathway by increasing the AtPep precursor, PROPEP expression. Our work shows a previously unknown non-canonical PEPR-JA-Ile-Ca2+ -MYC2 signalling module through which plants sense JA-Ile rapidly to amplify both AtPep-PEPR and jasmonate signalling in undamaged cells.
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Affiliation(s)
- Deepika Mittal
- National Institute of Plant Genome Research (NIPGR), New Delhi, India
| | | | - Mahendra Varma
- National Institute of Plant Genome Research (NIPGR), New Delhi, India
| | - Amrutha Laie
- National Institute of Plant Genome Research (NIPGR), New Delhi, India
| | - Shruti Mishra
- National Institute of Plant Genome Research (NIPGR), New Delhi, India
| | - Smrutisanjita Behera
- CSIR-Indian Institute of Chemical Biology, Kolkata, West Bengal, India
- Academy of Scientific and Innovative Research (AcSIR), Ghaziabad, India
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5
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Marqués-Gálvez JE, Pandharikar G, Basso V, Kohler A, Lackus ND, Barry K, Keymanesh K, Johnson J, Singan V, Grigoriev IV, Vilgalys R, Martin F, Veneault-Fourrey C. Populus MYC2 orchestrates root transcriptional reprogramming of defence pathway to impair Laccaria bicolor ectomycorrhizal development. THE NEW PHYTOLOGIST 2024; 242:658-674. [PMID: 38375883 DOI: 10.1111/nph.19609] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 12/12/2023] [Accepted: 01/30/2024] [Indexed: 02/21/2024]
Abstract
The jasmonic acid (JA) signalling pathway plays an important role in the establishment of the ectomycorrhizal symbiosis. The Laccaria bicolor effector MiSSP7 stabilizes JA corepressor JAZ6, thereby inhibiting the activity of Populus MYC2 transcription factors. Although the role of MYC2 in orchestrating plant defences against pathogens is well established, its exact contribution to ECM symbiosis remains unclear. This information is crucial for understanding the balance between plant immunity and symbiotic relationships. Transgenic poplars overexpressing or silencing for the two paralogues of MYC2 transcription factor (MYC2s) were produced, and their ability to establish ectomycorrhiza was assessed. Transcriptomics and DNA affinity purification sequencing were performed. MYC2s overexpression led to a decrease in fungal colonization, whereas its silencing increased it. The enrichment of terpene synthase genes in the MYC2-regulated gene set suggests a complex interplay between the host monoterpenes and fungal growth. Several root monoterpenes have been identified as inhibitors of fungal growth and ECM symbiosis. Our results highlight the significance of poplar MYC2s and terpenes in mutualistic symbiosis by controlling root fungal colonization. We identified poplar genes which direct or indirect control by MYC2 is required for ECM establishment. These findings deepen our understanding of the molecular mechanisms underlying ECM symbiosis.
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Affiliation(s)
- José Eduardo Marqués-Gálvez
- Université de Lorraine, INRAE, UMR 1136 Interactions Arbres-Microorganismes, Centre INRAE Grand Est-Nancy, Champenoux, 54280, France
| | - Gaurav Pandharikar
- Université de Lorraine, INRAE, UMR 1136 Interactions Arbres-Microorganismes, Centre INRAE Grand Est-Nancy, Champenoux, 54280, France
| | - Veronica Basso
- Université de Lorraine, INRAE, UMR 1136 Interactions Arbres-Microorganismes, Centre INRAE Grand Est-Nancy, Champenoux, 54280, France
| | - Annegret Kohler
- Université de Lorraine, INRAE, UMR 1136 Interactions Arbres-Microorganismes, Centre INRAE Grand Est-Nancy, Champenoux, 54280, France
| | - Nathalie D Lackus
- Lehrstuhl für Pharmazeutische Biologie, Julius-von-Sachs-Institut für Biowissenschaften, Julius-Maximilians-Universität Würzburg, Julius-von-Sachs-Platz 2, Würzburg, 97082, Deutschland
| | - Kerrie Barry
- US Department of Energy, Joint Genome Institute, Lawrence Berkeley National Laboratory, Berkeley, CA, 94720, USA
| | - Keykhosrow Keymanesh
- US Department of Energy, Joint Genome Institute, Lawrence Berkeley National Laboratory, Berkeley, CA, 94720, USA
| | - Jenifer Johnson
- US Department of Energy, Joint Genome Institute, Lawrence Berkeley National Laboratory, Berkeley, CA, 94720, USA
| | - Vasanth Singan
- US Department of Energy, Joint Genome Institute, Lawrence Berkeley National Laboratory, Berkeley, CA, 94720, USA
| | - Igor V Grigoriev
- US Department of Energy, Joint Genome Institute, Lawrence Berkeley National Laboratory, Berkeley, CA, 94720, USA
- Department of Plant and Microbial Biology, University of California Berkeley, Berkeley, CA, 94720, USA
| | - Rytas Vilgalys
- Department of Biology, Duke University, Durham, NC, 27708, USA
| | - Francis Martin
- Université de Lorraine, INRAE, UMR 1136 Interactions Arbres-Microorganismes, Centre INRAE Grand Est-Nancy, Champenoux, 54280, France
| | - Claire Veneault-Fourrey
- Université de Lorraine, INRAE, UMR 1136 Interactions Arbres-Microorganismes, Centre INRAE Grand Est-Nancy, Champenoux, 54280, France
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6
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Liu L, Zhan J, Yan J. Engineering the future cereal crops with big biological data: toward an intelligence-driven breeding by design. J Genet Genomics 2024:S1673-8527(24)00058-4. [PMID: 38531485 DOI: 10.1016/j.jgg.2024.03.005] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/30/2023] [Revised: 03/17/2024] [Accepted: 03/17/2024] [Indexed: 03/28/2024]
Abstract
How to feed 10 billion human populations is one of the challenges that need to be addressed in the following decades, especially under an unpredicted climate change. Crop breeding, initiating from the phenotype-based selection by local farmers and developing into current biotechnology-based breeding, has played a critical role in securing the global food supply. However, regarding the changing environment and ever-increasing human population, can we breed outstanding crop varieties fast enough to achieve high productivity, good quality, and widespread adaptability? This review outlines the recent achievements in understanding cereal crop breeding, including the current knowledge about crop agronomic traits, newly developed techniques, crop big biological data research, and the possibility of integrating them for intelligence-driven breeding by design, which ushers in a new era of crop breeding practice and shapes the novel architecture of future crops. This review focuses on the major cereal crops, including rice, maize, and wheat, to explain how intelligence-driven breeding by design is becoming a reality.
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Affiliation(s)
- Lei Liu
- National Key Laboratory of Crop Genetic Improvement, Hubei Hongshan Laboratory, Huazhong Agricultural University, Wuhan, Hubei 430070, China.
| | - Jimin Zhan
- National Key Laboratory of Crop Genetic Improvement, Hubei Hongshan Laboratory, Huazhong Agricultural University, Wuhan, Hubei 430070, China
| | - Jianbing Yan
- National Key Laboratory of Crop Genetic Improvement, Hubei Hongshan Laboratory, Huazhong Agricultural University, Wuhan, Hubei 430070, China
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7
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Yoshida T, Fernie AR. Hormonal regulation of plant primary metabolism under drought. JOURNAL OF EXPERIMENTAL BOTANY 2024; 75:1714-1725. [PMID: 37712613 DOI: 10.1093/jxb/erad358] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 06/28/2023] [Accepted: 09/13/2023] [Indexed: 09/16/2023]
Abstract
Phytohormones are essential signalling molecules globally regulating many processes of plants, including their growth, development, and stress responses. The promotion of growth and the enhancement of stress resistance have to be balanced, especially under adverse conditions such as drought stress, because of limited resources. Plants cope with drought stress via various strategies, including the transcriptional regulation of stress-responsive genes and the adjustment of metabolism, and phytohormones play roles in these processes. Although abscisic acid (ABA) is an important signal under drought, less attention has been paid to other phytohormones. In this review, we summarize progress in the understanding of phytohormone-regulated primary metabolism under water-limited conditions, especially in Arabidopsis thaliana, and highlight recent findings concerning the amino acids associated with ABA metabolism and signalling. We also discuss how phytohormones function antagonistically and synergistically in order to balance growth and stress responses.
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Affiliation(s)
- Takuya Yoshida
- Lehrstuhl für Botanik, Technische Universität München, Emil-Ramann-Str. 4, 85354 Freising, Germany
| | - Alisdair R Fernie
- Max-Planck-Institut für Molekulare Pflanzenphysiologie, 14476 Potsdam-Golm, Germany
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8
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Zhao Y, Zhang Y, Li S, Tan S, Cao J, Wang HL, Luo J, Guo H, Zhang Z, Li Z. Leaf Senescence Database v5.0: A Comprehensive Repository for Facilitating Plant Senescence Research. J Mol Biol 2024:168530. [PMID: 38462130 DOI: 10.1016/j.jmb.2024.168530] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/04/2024] [Revised: 03/06/2024] [Accepted: 03/06/2024] [Indexed: 03/12/2024]
Abstract
Through an extensive literature survey, we have upgraded the Leaf Senescence Database (LSD v5.0; https://ngdc.cncb.ac.cn/lsd/), a curated repository of comprehensive senescence-associated genes (SAGs) and their corresponding mutants. Since its inception in 2010, LSD undergoes frequent updates to encompass the latest advances in leaf senescence research and its current version comprises a high-quality collection of 31,740 SAGs and 1,209 mutants from 148 species, which were manually searched based on robust experimental evidence and further categorized according to their functions in leaf senescence. Furthermore, LSD was greatly enriched with comprehensive annotations for the SAGs through meticulous curation using both manual and computational methods. In addition, it was equipped with user-friendly web interfaces that facilitate text queries, BLAST searches, and convenient download of SAG sequences for localized analysis. Users can effortlessly navigate the database to access a plethora of information, including literature references, mutants, phenotypes, multi-omics data, miRNA interactions, homologs in other plants, and cross-links to various databases. Taken together, the upgraded version of LSD stands as the most comprehensive and informative plant senescence-related database to date, incorporating the largest collection of SAGs and thus bearing great utility for a wide range of studies related to plant senescence.
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Affiliation(s)
- Yaning Zhao
- State Key Laboratory of Tree Genetics and Breeding, College of Biological Sciences and Technology, Beijing Forestry University, Beijing 100083, China
| | - Yang Zhang
- National Genomics Data Center & CAS Key Laboratory of Genome Sciences and Information, Beijing Institute of Genomics, Chinese Academy of Sciences, Beijing 100101, China; China National Center for Bioinformation, Beijing 100101, China; University of Chinese Academy of Sciences, Beijing 100049, China
| | - Shichun Li
- State Key Laboratory of Tree Genetics and Breeding, College of Biological Sciences and Technology, Beijing Forestry University, Beijing 100083, China
| | - Shuya Tan
- State Key Laboratory of Tree Genetics and Breeding, College of Biological Sciences and Technology, Beijing Forestry University, Beijing 100083, China
| | - Jie Cao
- State Key Laboratory of Tree Genetics and Breeding, College of Biological Sciences and Technology, Beijing Forestry University, Beijing 100083, China
| | - Hou-Ling Wang
- State Key Laboratory of Tree Genetics and Breeding, College of Biological Sciences and Technology, Beijing Forestry University, Beijing 100083, China
| | - Jingchu Luo
- College of Life Sciences, Peking University, Beijing 100871, China; Center for Bioinformatics, Peking University, Beijing 100871, China
| | - Hongwei Guo
- Institute of Plant and Food Science, Department of Biology, Southern University of Science and Technology (SUSTech), Shenzhen, Guangdong 518055, China
| | - Zhang Zhang
- National Genomics Data Center & CAS Key Laboratory of Genome Sciences and Information, Beijing Institute of Genomics, Chinese Academy of Sciences, Beijing 100101, China; China National Center for Bioinformation, Beijing 100101, China; University of Chinese Academy of Sciences, Beijing 100049, China.
| | - Zhonghai Li
- State Key Laboratory of Tree Genetics and Breeding, College of Biological Sciences and Technology, Beijing Forestry University, Beijing 100083, China.
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Collins E, Shou H, Mao C, Whelan J, Jost R. Dynamic interactions between SPX proteins, the ubiquitination machinery, and signalling molecules for stress adaptation at a whole-plant level. Biochem J 2024; 481:363-385. [PMID: 38421035 DOI: 10.1042/bcj20230163] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/24/2023] [Revised: 01/31/2024] [Accepted: 02/01/2024] [Indexed: 03/02/2024]
Abstract
The plant macronutrient phosphorus is a scarce resource and plant-available phosphate is limiting in most soil types. Generally, a gene regulatory module called the phosphate starvation response (PSR) enables efficient phosphate acquisition by roots and translocation to other organs. Plants growing on moderate to nutrient-rich soils need to co-ordinate availability of different nutrients and repress the highly efficient PSR to adjust phosphate acquisition to the availability of other macro- and micronutrients, and in particular nitrogen. PSR repression is mediated by a small family of single SYG1/Pho81/XPR1 (SPX) domain proteins. The SPX domain binds higher order inositol pyrophosphates that signal cellular phosphorus status and modulate SPX protein interaction with PHOSPHATE STARVATION RESPONSE1 (PHR1), the central transcriptional regulator of PSR. Sequestration by SPX repressors restricts PHR1 access to PSR gene promoters. Here we focus on SPX4 that primarily acts in shoots and sequesters many transcription factors other than PHR1 in the cytosol to control processes beyond the classical PSR, such as nitrate, auxin, and jasmonic acid signalling. Unlike SPX1 and SPX2, SPX4 is subject to proteasomal degradation not only by singular E3 ligases, but also by SCF-CRL complexes. Emerging models for these different layers of control and their consequences for plant acclimation to the environment will be discussed.
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Affiliation(s)
- Emma Collins
- Department of Animal, Plant and Soil Sciences, School of Agriculture, Biomedicine and Environment, La Trobe University, Bundoora, VIC 3086, Australia
| | - Huixia Shou
- State Key Laboratory of Plant Physiology and Biochemistry, College of Life Sciences, Zhejiang University, Hangzhou, Zhejiang 310058, P.R. China
- Hainan Institute, Zhejiang University, Sanya 572025, China
- The Provincial International Science and Technology Cooperation Base on Engineering Biology, International Campus of Zhejiang University, Haining, Zhejiang 314400, China
| | - Chuanzao Mao
- State Key Laboratory of Plant Physiology and Biochemistry, College of Life Sciences, Zhejiang University, Hangzhou, Zhejiang 310058, P.R. China
| | - James Whelan
- Department of Animal, Plant and Soil Sciences, School of Agriculture, Biomedicine and Environment, La Trobe University, Bundoora, VIC 3086, Australia
- State Key Laboratory of Plant Physiology and Biochemistry, College of Life Sciences, Zhejiang University, Hangzhou, Zhejiang 310058, P.R. China
- The Provincial International Science and Technology Cooperation Base on Engineering Biology, International Campus of Zhejiang University, Haining, Zhejiang 314400, China
| | - Ricarda Jost
- Department of Animal, Plant and Soil Sciences, School of Agriculture, Biomedicine and Environment, La Trobe University, Bundoora, VIC 3086, Australia
- La Trobe Institute for Sustainable Agriculture and Food, La Trobe University, Bundoora, VIC 3086, Australia
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10
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Wang H, Qiu Y, Guo H, Yin Y, Liu P. Information-incorporated gene network construction with FDR control. Bioinformatics 2024; 40:btae125. [PMID: 38430463 PMCID: PMC10937901 DOI: 10.1093/bioinformatics/btae125] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/20/2023] [Revised: 02/08/2024] [Accepted: 02/29/2024] [Indexed: 03/03/2024] Open
Abstract
MOTIVATION Large-scale gene expression studies allow gene network construction to uncover associations among genes. To study direct associations among genes, partial correlation-based networks are preferred over marginal correlations. However, FDR control for partial correlation-based network construction is not well-studied. In addition, currently available partial correlation-based methods cannot take existing biological knowledge to help network construction while controlling FDR. RESULTS In this paper, we propose a method called Partial Correlation Graph with Information Incorporation (PCGII). PCGII estimates partial correlations between each pair of genes by regularized node-wise regression that can incorporate prior knowledge while controlling the effects of all other genes. It handles high-dimensional data where the number of genes can be much larger than the sample size and controls FDR at the same time. We compare PCGII with several existing approaches through extensive simulation studies and demonstrate that PCGII has better FDR control and higher power. We apply PCGII to a plant gene expression dataset where it recovers confirmed regulatory relationships and a hub node, as well as several direct associations that shed light on potential functional relationships in the system. We also introduce a method to supplement observed data with a pseudogene to apply PCGII when no prior information is available, which also allows checking FDR control and power for real data analysis. AVAILABILITY AND IMPLEMENTATION R package is freely available for download at https://cran.r-project.org/package=PCGII.
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Affiliation(s)
- Hao Wang
- Department of Statistics, Iowa State University, Ames, IA 50010, United States
| | - Yumou Qiu
- Department of Statistics, Iowa State University, Ames, IA 50010, United States
| | - Hongqing Guo
- Department of Genetics, Development and Cell Biology, Iowa State University, Ames, IA 50010, United States
| | - Yanhai Yin
- Department of Genetics, Development and Cell Biology, Iowa State University, Ames, IA 50010, United States
| | - Peng Liu
- Department of Statistics, Iowa State University, Ames, IA 50010, United States
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11
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Chao H, Zhang S, Hu Y, Ni Q, Xin S, Zhao L, Ivanisenko VA, Orlov YL, Chen M. Integrating omics databases for enhanced crop breeding. J Integr Bioinform 2023; 20:jib-2023-0012. [PMID: 37486120 PMCID: PMC10777369 DOI: 10.1515/jib-2023-0012] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/27/2023] [Accepted: 06/12/2023] [Indexed: 07/25/2023] Open
Abstract
Crop plant breeding involves selecting and developing new plant varieties with desirable traits such as increased yield, improved disease resistance, and enhanced nutritional value. With the development of high-throughput technologies, such as genomics, transcriptomics, and metabolomics, crop breeding has entered a new era. However, to effectively use these technologies, integration of multi-omics data from different databases is required. Integration of omics data provides a comprehensive understanding of the biological processes underlying plant traits and their interactions. This review highlights the importance of integrating omics databases in crop plant breeding, discusses available omics data and databases, describes integration challenges, and highlights recent developments and potential benefits. Taken together, the integration of omics databases is a critical step towards enhancing crop plant breeding and improving global food security.
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Affiliation(s)
- Haoyu Chao
- Department of Bioinformatics, College of Life Sciences, Zhejiang University, Hangzhou310058, China
| | - Shilong Zhang
- Department of Bioinformatics, College of Life Sciences, Zhejiang University, Hangzhou310058, China
| | - Yueming Hu
- Department of Bioinformatics, College of Life Sciences, Zhejiang University, Hangzhou310058, China
| | - Qingyang Ni
- Department of Bioinformatics, College of Life Sciences, Zhejiang University, Hangzhou310058, China
| | - Saige Xin
- Department of Bioinformatics, College of Life Sciences, Zhejiang University, Hangzhou310058, China
| | - Liang Zhao
- Department of Bioinformatics, College of Life Sciences, Zhejiang University, Hangzhou310058, China
| | - Vladimir A. Ivanisenko
- Institute of Cytology and Genetics, Siberian Branch of the Russian Academy of Sciences, Novosibirsk630090, Russia
| | - Yuriy L. Orlov
- Institute of Cytology and Genetics, Siberian Branch of the Russian Academy of Sciences, Novosibirsk630090, Russia
- Agrarian and Technological Institute, Peoples’ Friendship University of Russia, Moscow117198, Russia
- The Digital Health Institute, I.M. Sechenov First Moscow State Medical University of the Russian Ministry of Health (Sechenov University), Moscow119991, Russia
| | - Ming Chen
- Department of Bioinformatics, College of Life Sciences, Zhejiang University, Hangzhou310058, China
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12
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Zhou XE, Zhang Y, Yao J, Zheng J, Zhou Y, He Q, Moreno J, Lam VQ, Cao X, Sugimoto K, Vanegas-Cano L, Kariapper L, Suino-Powell K, Zhu Y, Novick S, Griffin PR, Zhang F, Howe GA, Melcher K. Assembly of JAZ-JAZ and JAZ-NINJA complexes in jasmonate signaling. PLANT COMMUNICATIONS 2023; 4:100639. [PMID: 37322867 PMCID: PMC10721472 DOI: 10.1016/j.xplc.2023.100639] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 04/26/2023] [Revised: 05/21/2023] [Accepted: 06/07/2023] [Indexed: 06/17/2023]
Abstract
Jasmonates (JAs) are plant hormones with crucial roles in development and stress resilience. They activate MYC transcription factors by mediating the proteolysis of MYC inhibitors called JAZ proteins. In the absence of JA, JAZ proteins bind and inhibit MYC through the assembly of MYC-JAZ-Novel Interactor of JAZ (NINJA)-TPL repressor complexes. However, JAZ and NINJA are predicted to be largely intrinsically unstructured, which has precluded their experimental structure determination. Through a combination of biochemical, mutational, and biophysical analyses and AlphaFold-derived ColabFold modeling, we characterized JAZ-JAZ and JAZ-NINJA interactions and generated models with detailed, high-confidence domain interfaces. We demonstrate that JAZ, NINJA, and MYC interface domains are dynamic in isolation and become stabilized in a stepwise order upon complex assembly. By contrast, most JAZ and NINJA regions outside of the interfaces remain highly dynamic and cannot be modeled in a single conformation. Our data indicate that the small JAZ Zinc finger expressed in Inflorescence Meristem (ZIM) motif mediates JAZ-JAZ and JAZ-NINJA interactions through separate surfaces, and our data further suggest that NINJA modulates JAZ dimerization. This study advances our understanding of JA signaling by providing insights into the dynamics, interactions, and structure of the JAZ-NINJA core of the JA repressor complex.
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Affiliation(s)
- X Edward Zhou
- Department of Structural Biology, Van Andel Institute, Grand Rapids, MI 49503, USA
| | - Yaguang Zhang
- Key Laboratory of Pesticide, College of Plant Protection, Nanjing Agricultural University, Nanjing, China
| | - Jian Yao
- MSU-DOE Plant Research Laboratory, Michigan State University, East Lansing, MI 48824, USA
| | - Jie Zheng
- Department of Molecular Medicine, UF Scripps Biomedical Research, Jupiter, FL 33458, USA
| | - Yuxin Zhou
- Department of Structural Biology, Van Andel Institute, Grand Rapids, MI 49503, USA; Key Laboratory of Pesticide, College of Plant Protection, Nanjing Agricultural University, Nanjing, China
| | - Qing He
- Department of Structural Biology, Van Andel Institute, Grand Rapids, MI 49503, USA
| | - Javier Moreno
- MSU-DOE Plant Research Laboratory, Michigan State University, East Lansing, MI 48824, USA
| | - Vinh Q Lam
- Department of Molecular Medicine, UF Scripps Biomedical Research, Jupiter, FL 33458, USA
| | - Xiaoman Cao
- Key Laboratory of Pesticide, College of Plant Protection, Nanjing Agricultural University, Nanjing, China
| | - Koichi Sugimoto
- MSU-DOE Plant Research Laboratory, Michigan State University, East Lansing, MI 48824, USA
| | - Leidy Vanegas-Cano
- MSU-DOE Plant Research Laboratory, Michigan State University, East Lansing, MI 48824, USA; Plant Resilience Institute, Michigan State University, East Lansing, MI 48824, USA
| | - Leena Kariapper
- Department of Structural Biology, Van Andel Institute, Grand Rapids, MI 49503, USA
| | - Kelly Suino-Powell
- Department of Structural Biology, Van Andel Institute, Grand Rapids, MI 49503, USA
| | - Yuanye Zhu
- Department of Structural Biology, Van Andel Institute, Grand Rapids, MI 49503, USA; Key Laboratory of Pesticide, College of Plant Protection, Nanjing Agricultural University, Nanjing, China
| | - Scott Novick
- Department of Molecular Medicine, UF Scripps Biomedical Research, Jupiter, FL 33458, USA
| | - Patrick R Griffin
- Department of Molecular Medicine, UF Scripps Biomedical Research, Jupiter, FL 33458, USA
| | - Feng Zhang
- Department of Structural Biology, Van Andel Institute, Grand Rapids, MI 49503, USA; Key Laboratory of Pesticide, College of Plant Protection, Nanjing Agricultural University, Nanjing, China.
| | - Gregg A Howe
- MSU-DOE Plant Research Laboratory, Michigan State University, East Lansing, MI 48824, USA; Plant Resilience Institute, Michigan State University, East Lansing, MI 48824, USA; Department of Biochemistry and Molecular Biology, Michigan State University, East Lansing, MI 48824, USA.
| | - Karsten Melcher
- Department of Structural Biology, Van Andel Institute, Grand Rapids, MI 49503, USA.
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Abukhalaf M, Proksch C, Thieme D, Ziegler J, Hoehenwarter W. Changing turn-over rates regulate abundance of tryptophan, GS biosynthesis, IAA transport and photosynthesis proteins in Arabidopsis growth defense transitions. BMC Biol 2023; 21:249. [PMID: 37940940 PMCID: PMC10634109 DOI: 10.1186/s12915-023-01739-3] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/29/2023] [Accepted: 10/16/2023] [Indexed: 11/10/2023] Open
Abstract
BACKGROUND Shifts in dynamic equilibria of the abundance of cellular molecules in plant-pathogen interactions need further exploration. We induced PTI in optimally growing Arabidopsis thaliana seedlings for 16 h, returning them to growth conditions for another 16 h. METHODS Turn-over and abundance of 99 flg22 responding proteins were measured chronologically using a stable heavy nitrogen isotope partial labeling strategy and targeted liquid chromatography coupled to mass spectrometry (PRM LC-MS). These experiments were complemented by measurements of mRNA and phytohormone levels. RESULTS Changes in synthesis and degradation rate constants (Ks and Kd) regulated tryptophane and glucosinolate, IAA transport, and photosynthesis-associated protein (PAP) homeostasis in growth/PTI transitions independently of mRNA levels. Ks values increased after elicitation while protein and mRNA levels became uncorrelated. mRNA returned to pre-elicitation levels, yet protein abundance remained at PTI levels even 16 h after media exchange, indicating protein levels were robust and unresponsive to transition back to growth. The abundance of 23 PAPs including FERREDOXIN-NADP( +)-OXIDOREDUCTASE (FNR1) decreased 16 h after PAMP exposure, their depletion was nearly abolished in the myc234 mutant. FNR1 Kd increased as mRNA levels decreased early in PTI, its Ks decreased in prolonged PTI. FNR1 Kd was lower in myc234, mRNA levels decreased as in wild type. CONCLUSIONS Protein Kd and Ks values change in response to flg22 exposure and constitute an additional layer of protein abundance regulation in growth defense transitions next to changes in mRNA levels. Our results suggest photosystem remodeling in PTI to direct electron flow away from the photosynthetic carbon reaction towards ROS production as an active defense mechanism controlled post-transcriptionally and by MYC2 and homologs. Target proteins accumulated later and PAP and auxin/IAA depletion was repressed in myc234 indicating a positive effect of the transcription factors in the establishment of PTI.
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Affiliation(s)
- Mohammad Abukhalaf
- Present address: Institute for Experimental Medicine, Christian-Albrechts University Kiel, Niemannsweg 11, 24105, Kiel, Germany
- Department Biochemistry of Plant Interactions, Leibniz Institute of Plant Biochemistry, Weinberg 3, 06122, Halle (Saale), Germany
| | - Carsten Proksch
- Department Biochemistry of Plant Interactions, Leibniz Institute of Plant Biochemistry, Weinberg 3, 06122, Halle (Saale), Germany
| | - Domenika Thieme
- Department Biochemistry of Plant Interactions, Leibniz Institute of Plant Biochemistry, Weinberg 3, 06122, Halle (Saale), Germany
| | - Jörg Ziegler
- Department Molecular Signal Processing, Leibniz Institute of Plant Biochemistry, Weinberg 3, 06122, Halle (Saale), Germany
| | - Wolfgang Hoehenwarter
- Department Biochemistry of Plant Interactions, Leibniz Institute of Plant Biochemistry, Weinberg 3, 06122, Halle (Saale), Germany.
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Sun B, Zhao X, Gao J, Li J, Xin Y, Zhao Y, Liu Z, Feng H, Tan C. Genome-wide identification and expression analysis of the GASA gene family in Chinese cabbage (Brassica rapa L. ssp. pekinensis). BMC Genomics 2023; 24:668. [PMID: 37932701 PMCID: PMC10629197 DOI: 10.1186/s12864-023-09773-9] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/27/2023] [Accepted: 10/29/2023] [Indexed: 11/08/2023] Open
Abstract
BACKGROUND The Gibberellic Acid-Stimulated Arabidopsis (GASA) gene family is widely involved in the regulation of plant growth, development, and stress response. However, information on the GASA gene family has not been reported in Chinese cabbage (Brassica rapa L. ssp. pekinensis). RESULTS Here, we conducted genome-wide identification and analysis of the GASA genes in Chinese cabbage. In total, 15 GASA genes were identified in the Chinese cabbage genome, and the physicochemical property, subcellular location, and tertiary structure of the corresponding GASA proteins were elucidated. Phylogenetic analysis, conserved motif, and gene structure showed that the GASA proteins were divided into three well-conserved subfamilies. Synteny analysis proposed that the expansion of the GASA genes was influenced mainly by whole-genome duplication (WGD) and transposed duplication (TRD) and that duplication gene pairs were under negative selection. Cis-acting elements of the GASA promoters were involved in plant development, hormonal and stress responses. Expression profile analysis showed that the GASA genes were widely expressed in different tissues of Chinese cabbage, but their expression patterns appeared to diverse. The qRT-PCR analysis of nine GASA genes confirmed that they responded to salt stress, heat stress, and hormonal triggers. CONCLUSIONS Overall, this study provides a theoretical basis for further exploring the important role of the GASA gene family in the functional genome of Chinese cabbage.
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Affiliation(s)
- Bingxin Sun
- Department of Horticulture, Shenyang Agricultural University, 120 Dongling Road, Shenhe District, Shenyang, 110866, China
| | - Xianlei Zhao
- Department of Horticulture, Shenyang Agricultural University, 120 Dongling Road, Shenhe District, Shenyang, 110866, China
| | - Jiahui Gao
- Department of Horticulture, Shenyang Agricultural University, 120 Dongling Road, Shenhe District, Shenyang, 110866, China
| | - Jie Li
- Department of Horticulture, Shenyang Agricultural University, 120 Dongling Road, Shenhe District, Shenyang, 110866, China
| | - Yue Xin
- Department of Horticulture, Shenyang Agricultural University, 120 Dongling Road, Shenhe District, Shenyang, 110866, China
| | - Yonghui Zhao
- Department of Horticulture, Shenyang Agricultural University, 120 Dongling Road, Shenhe District, Shenyang, 110866, China
| | - Zhiyong Liu
- Department of Horticulture, Shenyang Agricultural University, 120 Dongling Road, Shenhe District, Shenyang, 110866, China
| | - Hui Feng
- Department of Horticulture, Shenyang Agricultural University, 120 Dongling Road, Shenhe District, Shenyang, 110866, China
| | - Chong Tan
- Department of Horticulture, Shenyang Agricultural University, 120 Dongling Road, Shenhe District, Shenyang, 110866, China.
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15
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Wang Y, Meng W, Ye Y, Yu X, Chen H, Liu Y, Xu M, Wang N, Qi F, Lan Y, Xu Y, Ma J, Zhang C. Transcriptome-Wide Analysis of Core Transcription Factors Associated with Defense Responses in Autotetraploid versus Diploid Rice under Saline Stress and Recovery. Int J Mol Sci 2023; 24:15982. [PMID: 37958969 PMCID: PMC10650042 DOI: 10.3390/ijms242115982] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/11/2023] [Revised: 10/28/2023] [Accepted: 11/02/2023] [Indexed: 11/15/2023] Open
Abstract
Saline stress is a major abiotic stress that inhibits plant growth and yields worldwide. The plant transcription factor (TF) family plays an important role in converting abiotic stress signals into gene expression changes. In this study, a transcriptome-based comparative analysis was performed to investigate the global gene expression of all the TFs in diploid and autotetraploid rice during the early stage of NaCl stress and recovery period. The phenotypic data indicated that the tetraploid rice exhibited a superior salt-tolerant ability compared to the diploid rice. A total of 55 TF families were co-expressed in the tetraploid and diploid rice, and the cumulative number of TF-expressed genes was relatively higher in the diploid rice than in the tetraploid rice at all time points. Unlike the diploid rice, the overall gene expression levels of the tetraploid rice were comparable to the control during recovery. The number of differentially expressed TFs (DE-TFs) in the tetraploid rice decreased after recovery, whereas it increased to a large extent in the diploid rice. GO and KEGG pathway enrichment analysis of the DE-TFs discovered the early switching of the ABA-activated signaling pathway and specific circadian rhythm in the tetraploid rice. Combining the PPI network and heatmap analysis, some core DE-TFs were found that may have potential roles to play in tetraploid salt tolerance. This study will pave the way for elucidating the complex network regulatory mechanisms of salt tolerance in tetraploid rice.
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Affiliation(s)
- Yingkai Wang
- Faculty of Agronomy, Jilin Agricultural University, Changchun 130000, China; (Y.W.); (W.M.); (Y.Y.); (X.Y.); (H.C.); (Y.L.); (M.X.); (N.W.); (F.Q.); (Y.L.); (Y.X.)
| | - Weilong Meng
- Faculty of Agronomy, Jilin Agricultural University, Changchun 130000, China; (Y.W.); (W.M.); (Y.Y.); (X.Y.); (H.C.); (Y.L.); (M.X.); (N.W.); (F.Q.); (Y.L.); (Y.X.)
| | - Yan Ye
- Faculty of Agronomy, Jilin Agricultural University, Changchun 130000, China; (Y.W.); (W.M.); (Y.Y.); (X.Y.); (H.C.); (Y.L.); (M.X.); (N.W.); (F.Q.); (Y.L.); (Y.X.)
| | - Xinfang Yu
- Faculty of Agronomy, Jilin Agricultural University, Changchun 130000, China; (Y.W.); (W.M.); (Y.Y.); (X.Y.); (H.C.); (Y.L.); (M.X.); (N.W.); (F.Q.); (Y.L.); (Y.X.)
| | - Haiyuan Chen
- Faculty of Agronomy, Jilin Agricultural University, Changchun 130000, China; (Y.W.); (W.M.); (Y.Y.); (X.Y.); (H.C.); (Y.L.); (M.X.); (N.W.); (F.Q.); (Y.L.); (Y.X.)
| | - Yuchen Liu
- Faculty of Agronomy, Jilin Agricultural University, Changchun 130000, China; (Y.W.); (W.M.); (Y.Y.); (X.Y.); (H.C.); (Y.L.); (M.X.); (N.W.); (F.Q.); (Y.L.); (Y.X.)
| | - Minghong Xu
- Faculty of Agronomy, Jilin Agricultural University, Changchun 130000, China; (Y.W.); (W.M.); (Y.Y.); (X.Y.); (H.C.); (Y.L.); (M.X.); (N.W.); (F.Q.); (Y.L.); (Y.X.)
| | - Ningning Wang
- Faculty of Agronomy, Jilin Agricultural University, Changchun 130000, China; (Y.W.); (W.M.); (Y.Y.); (X.Y.); (H.C.); (Y.L.); (M.X.); (N.W.); (F.Q.); (Y.L.); (Y.X.)
- Jilin Provincial Laboratory of Crop Germplasm Resources, Changchun 130000, China
| | - Fan Qi
- Faculty of Agronomy, Jilin Agricultural University, Changchun 130000, China; (Y.W.); (W.M.); (Y.Y.); (X.Y.); (H.C.); (Y.L.); (M.X.); (N.W.); (F.Q.); (Y.L.); (Y.X.)
| | - Yujie Lan
- Faculty of Agronomy, Jilin Agricultural University, Changchun 130000, China; (Y.W.); (W.M.); (Y.Y.); (X.Y.); (H.C.); (Y.L.); (M.X.); (N.W.); (F.Q.); (Y.L.); (Y.X.)
| | - Yan Xu
- Faculty of Agronomy, Jilin Agricultural University, Changchun 130000, China; (Y.W.); (W.M.); (Y.Y.); (X.Y.); (H.C.); (Y.L.); (M.X.); (N.W.); (F.Q.); (Y.L.); (Y.X.)
| | - Jian Ma
- Faculty of Agronomy, Jilin Agricultural University, Changchun 130000, China; (Y.W.); (W.M.); (Y.Y.); (X.Y.); (H.C.); (Y.L.); (M.X.); (N.W.); (F.Q.); (Y.L.); (Y.X.)
- Jilin Provincial Laboratory of Crop Germplasm Resources, Changchun 130000, China
| | - Chunying Zhang
- Faculty of Agronomy, Jilin Agricultural University, Changchun 130000, China; (Y.W.); (W.M.); (Y.Y.); (X.Y.); (H.C.); (Y.L.); (M.X.); (N.W.); (F.Q.); (Y.L.); (Y.X.)
- Jilin Provincial Laboratory of Crop Germplasm Resources, Changchun 130000, China
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Yang Q, Tan S, Wang HL, Wang T, Cao J, Liu H, Sha Y, Zhao Y, Xia X, Guo H, Li Z. Spliceosomal protein U2B″ delays leaf senescence by enhancing splicing variant JAZ9β expression to attenuate jasmonate signaling in Arabidopsis. THE NEW PHYTOLOGIST 2023; 240:1116-1133. [PMID: 37608617 DOI: 10.1111/nph.19198] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 06/25/2023] [Accepted: 07/23/2023] [Indexed: 08/24/2023]
Abstract
The regulatory framework of leaf senescence is gradually becoming clearer; however, the fine regulation of this process remains largely unknown. Here, genetic analysis revealed that U2 small nuclear ribonucleoprotein B (U2B″), a component of the spliceosome, is a negative regulator of leaf senescence. Mutation of U2B″ led to precocious leaf senescence, whereas overexpression of U2B″ extended leaf longevity. Transcriptome analysis revealed that the jasmonic acid (JA) signaling pathway was activated in the u2b″ mutant. U2B″ enhances the generation of splicing variant JASMONATE ZIM-DOMAIN 9β (JAZ9β) with an intron retention in the Jas motif, which compromises its interaction with CORONATINE INSENSITIVE1 and thus enhances the stability of JAZ9β protein. Moreover, JAZ9β could interact with MYC2 and obstruct its activity, thereby attenuating JA signaling. Correspondingly, overexpression of JAZ9β rescued the early senescence phenotype of the u2b″ mutant. Furthermore, JA treatment promoted expression of U2B″ that was found to be a direct target of MYC2. Overexpression of MYC2 in the u2b″ mutant resulted in a more pronounced premature senescence than that in wild-type plants. Collectively, our findings reveal that the spliceosomal protein U2B″ fine-tunes leaf senescence by enhancing the expression of JAZ9β and thereby attenuating JA signaling.
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Affiliation(s)
- Qi Yang
- State Key Laboratory of Tree Genetics and Breeding, College of Biological Sciences and Technology, Beijing Forestry University, Beijing, 100083, China
| | - Shuya Tan
- State Key Laboratory of Tree Genetics and Breeding, College of Biological Sciences and Technology, Beijing Forestry University, Beijing, 100083, China
| | - Hou-Ling Wang
- State Key Laboratory of Tree Genetics and Breeding, College of Biological Sciences and Technology, Beijing Forestry University, Beijing, 100083, China
| | - Ting Wang
- State Key Laboratory of Tree Genetics and Breeding, College of Biological Sciences and Technology, Beijing Forestry University, Beijing, 100083, China
| | - Jie Cao
- State Key Laboratory of Tree Genetics and Breeding, College of Biological Sciences and Technology, Beijing Forestry University, Beijing, 100083, China
| | - Hairong Liu
- State Key Laboratory of Tree Genetics and Breeding, College of Biological Sciences and Technology, Beijing Forestry University, Beijing, 100083, China
| | - Yueqi Sha
- State Key Laboratory of Tree Genetics and Breeding, College of Biological Sciences and Technology, Beijing Forestry University, Beijing, 100083, China
| | - Yaning Zhao
- State Key Laboratory of Tree Genetics and Breeding, College of Biological Sciences and Technology, Beijing Forestry University, Beijing, 100083, China
| | - Xinli Xia
- State Key Laboratory of Tree Genetics and Breeding, College of Biological Sciences and Technology, Beijing Forestry University, Beijing, 100083, China
| | - Hongwei Guo
- Key Laboratory of Molecular Design for Plant Cell Factory of Guangdong Higher Education Institutes, Department of Biology, Southern University of Science and Technology (SUSTech), Shenzhen, Guangdong, 518055, China
| | - Zhonghai Li
- State Key Laboratory of Tree Genetics and Breeding, College of Biological Sciences and Technology, Beijing Forestry University, Beijing, 100083, China
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Jin G, Qi J, Zu H, Liu S, Gershenzon J, Lou Y, Baldwin IT, Li R. Jasmonate-mediated gibberellin catabolism constrains growth during herbivore attack in rice. THE PLANT CELL 2023; 35:3828-3844. [PMID: 37392473 PMCID: PMC10533328 DOI: 10.1093/plcell/koad191] [Citation(s) in RCA: 6] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 05/16/2023] [Revised: 06/12/2023] [Accepted: 06/13/2023] [Indexed: 07/03/2023]
Abstract
Plant defense against herbivores is costly and often associated with growth repression. The phytohormone jasmonate (JA) plays a central role in prioritizing defense over growth during herbivore attack, but the underlying mechanisms remain unclear. When brown planthoppers (BPH, Nilaparvata lugens) attack rice (Oryza sativa), growth is dramatically suppressed. BPH infestation also increases inactive gibberellin (GA) levels and transcripts of GA 2-oxidase (GA2ox) genes, 2 (GA2ox3 and GA2ox7) of which encode enzymes that catalyze the conversion of bioactive GAs to inactive GAs in vitro and in vivo. Mutation of these GA2oxs diminishes BPH-elicited growth restriction without affecting BPH resistance. Phytohormone profiling and transcriptome analyses revealed that GA2ox-mediated GA catabolism was enhanced by JA signaling. The transcript levels of GA2ox3 and GA2ox7 were significantly attenuated under BPH attack in JA biosynthesis (allene oxide cyclase [aoc]) or signaling-deficient (myc2) mutants. In contrast, GA2ox3 and GA2ox7 expression was increased in MYC2 overexpression lines. MYC2 directly binds to the G-boxes in the promoters of both GA2ox genes to regulate their expression. We conclude that JA signaling simultaneously activates defense responses and GA catabolism to rapidly optimize resource allocation in attacked plants and provides a mechanism for phytohormone crosstalk.
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Affiliation(s)
- Gaochen Jin
- State Key Laboratory of Rice Biology, Ministry of Agriculture Key Lab of Molecular Biology of Crop Pathogens and Insects, Key Laboratory of Biology of Crop Pathogens and Insects of Zhejiang Province, Institute of Insect Sciences, Zhejiang University, Hangzhou 310058, China
| | - Jinfeng Qi
- Department of Economic Plants and Biotechnology, Yunnan Key Laboratory for Wild Plant Resources, Kunming Institute of Botany, Chinese Academy of Sciences, Kunming 650201, China
| | - Hongyue Zu
- State Key Laboratory of Rice Biology, Ministry of Agriculture Key Lab of Molecular Biology of Crop Pathogens and Insects, Key Laboratory of Biology of Crop Pathogens and Insects of Zhejiang Province, Institute of Insect Sciences, Zhejiang University, Hangzhou 310058, China
| | - Shuting Liu
- State Key Laboratory of Rice Biology, Ministry of Agriculture Key Lab of Molecular Biology of Crop Pathogens and Insects, Key Laboratory of Biology of Crop Pathogens and Insects of Zhejiang Province, Institute of Insect Sciences, Zhejiang University, Hangzhou 310058, China
| | - Jonathan Gershenzon
- Department of Biochemistry, Max Planck Institute for Chemical Ecology, Jena 07745, Germany
| | - Yonggen Lou
- State Key Laboratory of Rice Biology, Ministry of Agriculture Key Lab of Molecular Biology of Crop Pathogens and Insects, Key Laboratory of Biology of Crop Pathogens and Insects of Zhejiang Province, Institute of Insect Sciences, Zhejiang University, Hangzhou 310058, China
| | - Ian T Baldwin
- Department of Molecular Ecology, Max Planck Institute for Chemical Ecology, Jena 07745, Germany
| | - Ran Li
- State Key Laboratory of Rice Biology, Ministry of Agriculture Key Lab of Molecular Biology of Crop Pathogens and Insects, Key Laboratory of Biology of Crop Pathogens and Insects of Zhejiang Province, Institute of Insect Sciences, Zhejiang University, Hangzhou 310058, China
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18
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Wang X, Han L, Li J, Shang X, Liu Q, Li L, Zhang H. Next-generation bulked segregant analysis for Breeding 4.0. Cell Rep 2023; 42:113039. [PMID: 37651230 DOI: 10.1016/j.celrep.2023.113039] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/20/2023] [Revised: 07/11/2023] [Accepted: 08/10/2023] [Indexed: 09/02/2023] Open
Abstract
Functional cloning and manipulation of genes controlling various agronomic traits are important for boosting crop production. Although bulked segregant analysis (BSA) is an efficient method for functional cloning, its low throughput cannot satisfy the current need for crop breeding and food security. Here, we review the rationale and development of conventional BSA and discuss its strengths and drawbacks. We then propose next-generation BSA (NG-BSA) integrating multiple cutting-edge technologies, including high-throughput phenotyping, biological big data, and the use of machine learning. NG-BSA increases the resolution of genetic mapping and throughput for cloning quantitative trait genes (QTGs) and optimizes candidate gene selection while providing a means to elucidate the interaction network of QTGs. The ability of NG-BSA to efficiently batch-clone QTGs makes it an important tool for dissecting molecular mechanisms underlying various traits, as well as for the improvement of Breeding 4.0 strategy, especially in targeted improvement and population improvement of crops.
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Affiliation(s)
- Xi Wang
- National Key Laboratory of Crop Genetic Improvement, Huazhong Agricultural University, Wuhan 430070, China; Hubei Hongshan Laboratory, Wuhan 430070, China
| | - Linqian Han
- National Key Laboratory of Crop Genetic Improvement, Huazhong Agricultural University, Wuhan 430070, China; Hubei Hongshan Laboratory, Wuhan 430070, China
| | - Juan Li
- National Key Laboratory of Crop Genetic Improvement, Huazhong Agricultural University, Wuhan 430070, China; Hubei Hongshan Laboratory, Wuhan 430070, China
| | - Xiaoyang Shang
- National Key Laboratory of Crop Genetic Improvement, Huazhong Agricultural University, Wuhan 430070, China; Hubei Hongshan Laboratory, Wuhan 430070, China
| | - Qian Liu
- Institute of Crop Science, Chinese Academy of Agricultural Sciences, Beijing 100081, China
| | - Lin Li
- National Key Laboratory of Crop Genetic Improvement, Huazhong Agricultural University, Wuhan 430070, China; Hubei Hongshan Laboratory, Wuhan 430070, China.
| | - Hongwei Zhang
- Institute of Crop Science, Chinese Academy of Agricultural Sciences, Beijing 100081, China.
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19
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Johnson LY, Major IT, Chen Y, Yang C, Vanegas-Cano LJ, Howe GA. Diversification of JAZ-MYC signaling function in immune metabolism. THE NEW PHYTOLOGIST 2023; 239:2277-2291. [PMID: 37403524 PMCID: PMC10528271 DOI: 10.1111/nph.19114] [Citation(s) in RCA: 4] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 03/20/2023] [Accepted: 06/11/2023] [Indexed: 07/06/2023]
Abstract
Jasmonate (JA) re-programs metabolism to confer resistance to diverse environmental threats. Jasmonate stimulates the degradation of JASMONATE ZIM-DOMAIN (JAZ) proteins that repress the activity of MYC transcription factors. In Arabidopsis thaliana, MYC and JAZ are encoded by 4 and 13 genes, respectively. The extent to which expansion of the MYC and JAZ families has contributed to functional diversification of JA responses is not well understood. Here, we investigated the role of MYC and JAZ paralogs in controlling the production of defense compounds derived from aromatic amino acids (AAAs). Analysis of loss-of-function and dominant myc mutations identified MYC3 and MYC4 as the major regulators of JA-induced tryptophan metabolism. We developed a JAZ family-based, forward genetics approach to screen randomized jaz polymutants for allelic combinations that enhance tryptophan biosynthetic capacity. We found that mutants defective in all members (JAZ1/2/5/6) of JAZ group I over-accumulate AAA-derived defense compounds, constitutively express marker genes for the JA-ethylene branch of immunity and are more resistant to necrotrophic pathogens but not insect herbivores. In defining JAZ and MYC paralogs that regulate the production of amino-acid-derived defense compounds, our results provide insight into the specificity of JA signaling in immunity.
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Affiliation(s)
- Leah Y.D. Johnson
- MSU-DOE Plant Research Laboratory, Michigan State University, East Lansing, MI 48824, USA
- Cell and Molecular Biology Program, Michigan State University, East Lansing, MI 48824, USA
- Molecular Plant Sciences Program, Michigan State University, East Lansing, MI 48824, USA
| | - Ian T. Major
- MSU-DOE Plant Research Laboratory, Michigan State University, East Lansing, MI 48824, USA
| | - Yani Chen
- MSU-DOE Plant Research Laboratory, Michigan State University, East Lansing, MI 48824, USA
| | - Changxian Yang
- MSU-DOE Plant Research Laboratory, Michigan State University, East Lansing, MI 48824, USA
| | - Leidy J. Vanegas-Cano
- MSU-DOE Plant Research Laboratory, Michigan State University, East Lansing, MI 48824, USA
- Department of Biochemistry and Molecular Biology, Michigan State University, East Lansing, MI 48824, USA
| | - Gregg A. Howe
- MSU-DOE Plant Research Laboratory, Michigan State University, East Lansing, MI 48824, USA
- Cell and Molecular Biology Program, Michigan State University, East Lansing, MI 48824, USA
- Molecular Plant Sciences Program, Michigan State University, East Lansing, MI 48824, USA
- Department of Biochemistry and Molecular Biology, Michigan State University, East Lansing, MI 48824, USA
- Plant Resilience Institute, Michigan State University, East Lansing, MI 48824, USA
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20
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Feng JW, Han L, Liu H, Xie WZ, Liu H, Li L, Chen LL. MaizeNetome: A multi-omics network database for functional genomics in maize. MOLECULAR PLANT 2023; 16:1229-1231. [PMID: 37553832 DOI: 10.1016/j.molp.2023.08.002] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 05/10/2023] [Revised: 07/17/2023] [Accepted: 08/04/2023] [Indexed: 08/10/2023]
Affiliation(s)
- Jia-Wu Feng
- National Key Laboratory of Crop Genetic Improvement, Huazhong Agricultural University, Wuhan 430070, China
| | - Linqian Han
- National Key Laboratory of Crop Genetic Improvement, Huazhong Agricultural University, Wuhan 430070, China
| | - Hao Liu
- National Key Laboratory of Crop Genetic Improvement, Huazhong Agricultural University, Wuhan 430070, China
| | - Wen-Zhao Xie
- National Key Laboratory of Crop Genetic Improvement, Huazhong Agricultural University, Wuhan 430070, China
| | - Hanmingzi Liu
- National Key Laboratory of Crop Genetic Improvement, Huazhong Agricultural University, Wuhan 430070, China
| | - Lin Li
- National Key Laboratory of Crop Genetic Improvement, Huazhong Agricultural University, Wuhan 430070, China.
| | - Ling-Ling Chen
- State Key Laboratory for Conservation and Utilization of Subtropical Agro-bioresources, College of Life Science and Technology, Guangxi University, Nanning 530004, China.
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21
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Wu ZZ, Gan ZW, Zhang YX, Chen SB, Gan CD, Yang K, Yang JY. Transcriptomic and metabolomic perspectives for the growth of alfalfa (Medicago sativa L.) seedlings with the effect of vanadium exposure. CHEMOSPHERE 2023:139222. [PMID: 37343642 DOI: 10.1016/j.chemosphere.2023.139222] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 03/20/2023] [Revised: 06/12/2023] [Accepted: 06/13/2023] [Indexed: 06/23/2023]
Abstract
Hitherto, the effect of vanadium on higher plant growth remains an open topic. Therefore, nontargeted metabolomic and RNA-Seq profiling were implemented to unravel the possible alteration in alfalfa seedlings subjected to 0.1 mg L-1 (B group) and 0.5 mg L-1 (C group) pentavalent vanadium [(V(V)] versus control (A group) in this study. Results revealed that vanadium exposure significantly altered some pivotal transcripts and metabolites. The number of differentially expressed genes (DEGs) markedly up- and down-regulated was 21 and 23 in B_vs_A, 27 and 33 in C_vs_A, and 24 and 43 in C_vs_B, respectively. The number for significantly up- and down-regulated differential metabolites was 17 and 15 in B_vs_A, 43 and 20 in C_vs_A, and 24 and 16 in C_vs_B, respectively. Metabolomics and transcriptomics co-analysis characterized three significantly enriched metabolic pathways in C_vs_A comparing group, viz., α-linolenic acid metabolism, flavonoid biosynthesis, and phenylpropanoid biosynthesis, from which some differentially expressed genes and differential metabolites participated. The metabolite of traumatic acid in α-linolenic acid metabolism and apigenin in flavonoid biosynthesis were markedly upregulated, while phenylalanine in phenylpropanoid biosynthesis was remarkably downregulated. The genes of allene oxide cyclase (AOC) and acetyl-CoA acyltransferase (fadA) in α-linolenic acid metabolism, and chalcone synthase (CHS), flavonoid 3'-monooxygenase (CYP75B1), and flavonol synthase (FLS) in flavonoid biosynthesis, and caffeoyl-CoA O-methyltransferase (CCoAOMT) in phenylpropanoid biosynthesis were significantly downregulated. While shikimate O-hydroxycinnamoyltransferase (HCT) in flavanoid and phenylpropanoid biosynthesis were conspicuously upregulated. Briefly, vanadium exposure induces a readjustment yielding in metabolite and the correlative synthetic precursors (transcripts/unigenes) in some branched metabolic pathways. This study provides a practical and in-depth perspective from transcriptomics and metabolomics in investigating the effects conferred by vanadium on plant growth and development.
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Affiliation(s)
- Zhen-Zhong Wu
- College of Architecture and Environment, Sichuan University, Chengdu, 610065, Sichuan, China; College of Earth and Environmental Sciences, Lanzhou University, Lanzhou, 730000, Gansu, China
| | - Zhi-Wei Gan
- College of Architecture and Environment, Sichuan University, Chengdu, 610065, Sichuan, China
| | - You-Xian Zhang
- College of Earth and Environmental Sciences, Lanzhou University, Lanzhou, 730000, Gansu, China
| | - Si-Bei Chen
- College of Architecture and Environment, Sichuan University, Chengdu, 610065, Sichuan, China
| | - Chun-Dan Gan
- College of Architecture and Environment, Sichuan University, Chengdu, 610065, Sichuan, China
| | - Kai Yang
- College of Architecture and Environment, Sichuan University, Chengdu, 610065, Sichuan, China
| | - Jin-Yan Yang
- College of Architecture and Environment, Sichuan University, Chengdu, 610065, Sichuan, China.
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22
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Nguyen TH, Thiers L, Van Moerkercke A, Bai Y, Fernández-Calvo P, Minne M, Depuydt T, Colinas M, Verstaen K, Van Isterdael G, Nützmann HW, Osbourn A, Saeys Y, De Rybel B, Vandepoele K, Ritter A, Goossens A. A redundant transcription factor network steers spatiotemporal Arabidopsis triterpene synthesis. NATURE PLANTS 2023; 9:926-937. [PMID: 37188853 DOI: 10.1038/s41477-023-01419-8] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 10/05/2022] [Accepted: 04/14/2023] [Indexed: 05/17/2023]
Abstract
Plant specialized metabolites modulate developmental and ecological functions and comprise many therapeutic and other high-value compounds. However, the mechanisms determining their cell-specific expression remain unknown. Here we describe the transcriptional regulatory network that underlies cell-specific biosynthesis of triterpenes in Arabidopsis thaliana root tips. Expression of thalianol and marneral biosynthesis pathway genes depends on the phytohormone jasmonate and is limited to outer tissues. We show that this is promoted by the activity of redundant bHLH-type transcription factors from two distinct clades and coactivated by homeodomain factors. Conversely, the DOF-type transcription factor DAG1 and other regulators prevent expression of the triterpene pathway genes in inner tissues. We thus show how precise expression of triterpene biosynthesis genes is determined by a robust network of transactivators, coactivators and counteracting repressors.
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Affiliation(s)
- Trang Hieu Nguyen
- Department of Plant Biotechnology and Bioinformatics, Ghent University, Ghent, Belgium
- VIB Center for Plant Systems Biology, Ghent, Belgium
| | - Louis Thiers
- Department of Plant Biotechnology and Bioinformatics, Ghent University, Ghent, Belgium
- VIB Center for Plant Systems Biology, Ghent, Belgium
- Plant Sciences Unit, Flanders Research Institute for Agriculture, Fisheries and Food (ILVO), Melle, Belgium
| | - Alex Van Moerkercke
- Department of Plant Biotechnology and Bioinformatics, Ghent University, Ghent, Belgium
- VIB Center for Plant Systems Biology, Ghent, Belgium
| | - Yuechen Bai
- Department of Plant Biotechnology and Bioinformatics, Ghent University, Ghent, Belgium
- VIB Center for Plant Systems Biology, Ghent, Belgium
- School of Life Sciences, Fudan University, Shanghai, P.R. China
| | - Patricia Fernández-Calvo
- Department of Plant Biotechnology and Bioinformatics, Ghent University, Ghent, Belgium
- VIB Center for Plant Systems Biology, Ghent, Belgium
- Misión Biolóxica de Galicia, CSIC, Pontevedra, Spain
- Centro de Biotecnología y Genómica de Plantas, Universidad Politécnica de Madrid (UPM)-Instituto Nacional de Investigación y Tecnología Agraria y Alimentaria (INIA), Campus Montegancedo UPM, Madrid, Spain
| | - Max Minne
- Department of Plant Biotechnology and Bioinformatics, Ghent University, Ghent, Belgium
- VIB Center for Plant Systems Biology, Ghent, Belgium
| | - Thomas Depuydt
- Department of Plant Biotechnology and Bioinformatics, Ghent University, Ghent, Belgium
- VIB Center for Plant Systems Biology, Ghent, Belgium
| | - Maite Colinas
- Department of Plant Biotechnology and Bioinformatics, Ghent University, Ghent, Belgium
- VIB Center for Plant Systems Biology, Ghent, Belgium
- Department of Natural Product Biosynthesis, Max Planck Institute for Chemical Ecology, Jena, Germany
| | - Kevin Verstaen
- VIB Single Cell Core, Ghent-Leuven, Belgium
- VIB Center for Inflammation Research, Data Mining and Modelling for Biomedicine, Ghent, Belgium
| | - Gert Van Isterdael
- VIB Flow Core, VIB Center for Inflammation Research, Ghent, Belgium
- Department of Biomedical Molecular Biology, Ghent University, Ghent, Belgium
| | - Hans-Wilhelm Nützmann
- Department of Biochemistry and Metabolism, John Innes Centre, Norwich, UK
- Department of Biology and Biochemistry, The Milner Centre for Evolution, University of Bath, Bath, UK
| | - Anne Osbourn
- Department of Biochemistry and Metabolism, John Innes Centre, Norwich, UK
| | - Yvan Saeys
- VIB Center for Inflammation Research, Data Mining and Modelling for Biomedicine, Ghent, Belgium
- Department of Applied Mathematics, Computer Science and Statistics, Ghent University, Ghent, Belgium
| | - Bert De Rybel
- Department of Plant Biotechnology and Bioinformatics, Ghent University, Ghent, Belgium
- VIB Center for Plant Systems Biology, Ghent, Belgium
| | - Klaas Vandepoele
- Department of Plant Biotechnology and Bioinformatics, Ghent University, Ghent, Belgium
- VIB Center for Plant Systems Biology, Ghent, Belgium
- Bioinformatics Institute Ghent, Ghent University, Ghent, Belgium
| | - Andrés Ritter
- Department of Plant Biotechnology and Bioinformatics, Ghent University, Ghent, Belgium
- VIB Center for Plant Systems Biology, Ghent, Belgium
| | - Alain Goossens
- Department of Plant Biotechnology and Bioinformatics, Ghent University, Ghent, Belgium.
- VIB Center for Plant Systems Biology, Ghent, Belgium.
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23
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He K, Du J, Han X, Li H, Kui M, Zhang J, Huang Z, Fu Q, Jiang Y, Hu Y. PHOSPHATE STARVATION RESPONSE1 (PHR1) interacts with JASMONATE ZIM-DOMAIN (JAZ) and MYC2 to modulate phosphate deficiency-induced jasmonate signaling in Arabidopsis. THE PLANT CELL 2023; 35:2132-2156. [PMID: 36856677 PMCID: PMC10226604 DOI: 10.1093/plcell/koad057] [Citation(s) in RCA: 8] [Impact Index Per Article: 8.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 08/10/2022] [Revised: 12/21/2022] [Accepted: 02/03/2023] [Indexed: 05/30/2023]
Abstract
Phosphorus (P) is a macronutrient necessary for plant growth and development. Inorganic phosphate (Pi) deficiency modulates the signaling pathway of the phytohormone jasmonate in Arabidopsis thaliana, but the underlying molecular mechanism currently remains elusive. Here, we confirmed that jasmonate signaling was enhanced under low Pi conditions, and the CORONATINE INSENSITIVE1 (COI1)-mediated pathway is critical for this process. A mechanistic investigation revealed that several JASMONATE ZIM-DOMAIN (JAZ) repressors physically interacted with the Pi signaling-related core transcription factors PHOSPHATE STARVATION RESPONSE1 (PHR1), PHR1-LIKE2 (PHL2), and PHL3. Phenotypic analyses showed that PHR1 and its homologs positively regulated jasmonate-induced anthocyanin accumulation and root growth inhibition. PHR1 stimulated the expression of several jasmonate-responsive genes, whereas JAZ proteins interfered with its transcriptional function. Furthermore, PHR1 physically associated with the basic helix-loop-helix (bHLH) transcription factors MYC2, MYC3, and MYC4. Genetic analyses and biochemical assays indicated that PHR1 and MYC2 synergistically increased the transcription of downstream jasmonate-responsive genes and enhanced the responses to jasmonate. Collectively, our study reveals the crucial regulatory roles of PHR1 in modulating jasmonate responses and provides a mechanistic understanding of how PHR1 functions together with JAZ and MYC2 to maintain the appropriate level of jasmonate signaling under conditions of Pi deficiency.
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Affiliation(s)
- Kunrong He
- CAS Key Laboratory of Tropical Plant Resources and Sustainable Use, Xishuangbanna Tropical Botanical Garden, Chinese Academy of Sciences, Kunming, Yunnan 650223, China
- College of Life Sciences, University of Chinese Academy of Sciences, Beijing 100049, China
| | - Jiancan Du
- CAS Key Laboratory of Tropical Plant Resources and Sustainable Use, Xishuangbanna Tropical Botanical Garden, Chinese Academy of Sciences, Kunming, Yunnan 650223, China
| | - Xiao Han
- CAS Key Laboratory of Tropical Plant Resources and Sustainable Use, Xishuangbanna Tropical Botanical Garden, Chinese Academy of Sciences, Kunming, Yunnan 650223, China
| | - Huiqiong Li
- CAS Key Laboratory of Tropical Plant Resources and Sustainable Use, Xishuangbanna Tropical Botanical Garden, Chinese Academy of Sciences, Kunming, Yunnan 650223, China
| | - Mengyi Kui
- CAS Key Laboratory of Tropical Plant Resources and Sustainable Use, Xishuangbanna Tropical Botanical Garden, Chinese Academy of Sciences, Kunming, Yunnan 650223, China
- College of Life Sciences, University of Chinese Academy of Sciences, Beijing 100049, China
| | - Juping Zhang
- CAS Key Laboratory of Tropical Plant Resources and Sustainable Use, Xishuangbanna Tropical Botanical Garden, Chinese Academy of Sciences, Kunming, Yunnan 650223, China
- College of Life Sciences, University of Chinese Academy of Sciences, Beijing 100049, China
| | - Zhichong Huang
- CAS Key Laboratory of Tropical Plant Resources and Sustainable Use, Xishuangbanna Tropical Botanical Garden, Chinese Academy of Sciences, Kunming, Yunnan 650223, China
| | - Qiantang Fu
- CAS Key Laboratory of Tropical Plant Resources and Sustainable Use, Xishuangbanna Tropical Botanical Garden, Chinese Academy of Sciences, Kunming, Yunnan 650223, China
| | - Yanjuan Jiang
- CAS Key Laboratory of Tropical Plant Resources and Sustainable Use, Xishuangbanna Tropical Botanical Garden, Chinese Academy of Sciences, Kunming, Yunnan 650223, China
- State Key Laboratory for Conservation and Utilization of Bio-Resources in Yunnan, School of Life Sciences, Yunnan University, Kunming 650091, China
| | - Yanru Hu
- CAS Key Laboratory of Tropical Plant Resources and Sustainable Use, Xishuangbanna Tropical Botanical Garden, Chinese Academy of Sciences, Kunming, Yunnan 650223, China
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Li S, Hu Y, Yang H, Tian S, Wei D, Tang Q, Yang Y, Wang Z. The Regulatory Roles of MYC TFs in Plant Stamen Development. PLANT SCIENCE : AN INTERNATIONAL JOURNAL OF EXPERIMENTAL PLANT BIOLOGY 2023; 333:111734. [PMID: 37207819 DOI: 10.1016/j.plantsci.2023.111734] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 11/03/2022] [Revised: 05/14/2023] [Accepted: 05/16/2023] [Indexed: 05/21/2023]
Abstract
The stamen, as the male reproductive organ of flowering plants, plays a critical role in completing the life cycle of plants. MYC transcription factors are members of the bHLH IIIE subgroup and participate in a number of plant biological processes. In recent decades, a number of studies have confirmed that MYC transcription factors actively participate in the regulation of stamen development and have a critical impact on plant fertility. In this review, we summarized how MYC transcription factors play a role in regulating secondary thickening of the anther endothecium, the development and degradation of the tapetum, stomatal differentiation, and the dehydration of the anther epidermis. With regard to anther physiological metabolism, MYC transcription factors control dehydrin synthesis, ion and water transport, and carbohydrate metabolism to influence pollen viability. Additionally, MYCs participate in the JA signal transduction pathway, where they directly or indirectly control the development of stamens through the ET-JA, GA-JA, and ABA-JA pathways. By identifying the functions of MYCs during plant stamen development, it will help us to obtain a more comprehensive understanding not only on the molecular functions of this TF family but also the mechanisms underlying stamen development.
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Affiliation(s)
- Sirui Li
- College of Horticulture and Landscape Architecture, Southwest University, Chongqing 400715, China; Chongqing Key Laboratory of Olericulture, Chongqing, 400715, China.
| | - Yao Hu
- College of Horticulture and Landscape Architecture, Southwest University, Chongqing 400715, China; Chongqing Key Laboratory of Olericulture, Chongqing, 400715, China.
| | - Huiqing Yang
- College of Horticulture and Landscape Architecture, Southwest University, Chongqing 400715, China; Chongqing Key Laboratory of Olericulture, Chongqing, 400715, China.
| | - Shibing Tian
- The Institute of Vegetables and Flowers, Chongqing Academy of Agricultural Sciences, Chongqing 400055, China.
| | - Dayong Wei
- College of Horticulture and Landscape Architecture, Southwest University, Chongqing 400715, China; Chongqing Key Laboratory of Olericulture, Chongqing, 400715, China.
| | - Qinglin Tang
- College of Horticulture and Landscape Architecture, Southwest University, Chongqing 400715, China; Chongqing Key Laboratory of Olericulture, Chongqing, 400715, China.
| | - Yang Yang
- The Institute of Vegetables and Flowers, Chongqing Academy of Agricultural Sciences, Chongqing 400055, China.
| | - Zhimin Wang
- College of Horticulture and Landscape Architecture, Southwest University, Chongqing 400715, China; Chongqing Key Laboratory of Olericulture, Chongqing, 400715, China.
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25
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He X, Zhang W, Sabir IA, Jiao C, Li G, Wang Y, Zhu F, Dai J, Liu L, Chen C, Zhang Y, Song C. The spatiotemporal profile of Dendrobium huoshanense and functional identification of bHLH genes under exogenous MeJA using comparative transcriptomics and genomics. FRONTIERS IN PLANT SCIENCE 2023; 14:1169386. [PMID: 37235024 PMCID: PMC10206334 DOI: 10.3389/fpls.2023.1169386] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 02/19/2023] [Accepted: 04/17/2023] [Indexed: 05/28/2023]
Abstract
Introduction Alkaloids are one of the main medicinal components of Dendrobium species. Dendrobium alkaloids are mainly composed of terpene alkaloids. Jasmonic acid (JA) induce the biosynthesis of such alkaloids, mainly by enhancing the expression of JA-responsive genes to increase plant resistance and increase the content of alkaloids. Many JA-responsive genes are the target genes of bHLH transcription factors (TFs), especially the MYC2 transcription factor. Methods In this study, the differentially expressed genes involved in the JA signaling pathway were screened out from Dendrobium huoshanense using comparative transcriptomics approaches, revealing the critical roles of basic helix-loop-helix (bHLH) family, particularly the MYC2 subfamily. Results and discussion Microsynteny-based comparative genomics demonstrated that whole genome duplication (WGD) and segmental duplication events drove bHLH genes expansion and functional divergence. Tandem duplication accelerated the generation of bHLH paralogs. Multiple sequence alignments showed that all bHLH proteins included bHLH-zip and ACT-like conserved domains. The MYC2 subfamily had a typical bHLH-MYC_N domain. The phylogenetic tree revealed the classification and putative roles of bHLHs. The analysis of cis-acting elements revealed that promoter of the majority of bHLH genes contain multiple regulatory elements relevant to light response, hormone responses, and abiotic stresses, and the bHLH genes could be activated by binding these elements. The expression profiling and qRT-PCR results indicated that bHLH subgroups IIIe and IIId may have an antagonistic role in JA-mediated expression of stress-related genes. DhbHLH20 and DhbHLH21 were considered to be the positive regulators in the early response of JA signaling, while DhbHLH24 and DhbHLH25 might be the negative regulators. Our findings may provide a practical reference for the functional study of DhbHLH genes and the regulation of secondary metabolites.
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Affiliation(s)
- Xiaomei He
- Anhui Engineering Laboratory for Conservation and Sustainable Utilization of Traditional Chinese Medicine Resources, Anhui Engineering Research Center for Eco-agriculture of Traditional Chinese Medicine, College of Biological and Pharmaceutical Engineering, West Anhui University, Lu’an, China
| | - Wenwu Zhang
- School of Life Science, Anhui Agricultural University, Hefei, China
| | - Irfan Ali Sabir
- Department of Plant Science, School of Agriculture and Biology, Shanghai Jiao Tong University, Shanghai, China
| | - Chunyan Jiao
- College of Life Sciences, Hefei Normal University, Hefei, China
| | - Guohui Li
- Anhui Engineering Laboratory for Conservation and Sustainable Utilization of Traditional Chinese Medicine Resources, Anhui Engineering Research Center for Eco-agriculture of Traditional Chinese Medicine, College of Biological and Pharmaceutical Engineering, West Anhui University, Lu’an, China
| | - Yan Wang
- Anhui Engineering Laboratory for Conservation and Sustainable Utilization of Traditional Chinese Medicine Resources, Anhui Engineering Research Center for Eco-agriculture of Traditional Chinese Medicine, College of Biological and Pharmaceutical Engineering, West Anhui University, Lu’an, China
| | - Fucheng Zhu
- Anhui Engineering Laboratory for Conservation and Sustainable Utilization of Traditional Chinese Medicine Resources, Anhui Engineering Research Center for Eco-agriculture of Traditional Chinese Medicine, College of Biological and Pharmaceutical Engineering, West Anhui University, Lu’an, China
| | - Jun Dai
- Anhui Engineering Laboratory for Conservation and Sustainable Utilization of Traditional Chinese Medicine Resources, Anhui Engineering Research Center for Eco-agriculture of Traditional Chinese Medicine, College of Biological and Pharmaceutical Engineering, West Anhui University, Lu’an, China
| | - Longyun Liu
- School of Bioengineering, Hefei Technology College, Hefei, China
| | - Cunwu Chen
- Anhui Engineering Laboratory for Conservation and Sustainable Utilization of Traditional Chinese Medicine Resources, Anhui Engineering Research Center for Eco-agriculture of Traditional Chinese Medicine, College of Biological and Pharmaceutical Engineering, West Anhui University, Lu’an, China
| | - Yingyu Zhang
- Henan Key Laboratory of Rare Diseases, Endocrinology and Metabolism Center, The First Affiliated Hospital, and College of Clinical Medicine of Henan University of Science and Technology, Luoyang, China
| | - Cheng Song
- Anhui Engineering Laboratory for Conservation and Sustainable Utilization of Traditional Chinese Medicine Resources, Anhui Engineering Research Center for Eco-agriculture of Traditional Chinese Medicine, College of Biological and Pharmaceutical Engineering, West Anhui University, Lu’an, China
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26
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Ma C, Li R, Sun Y, Zhang M, Li S, Xu Y, Song J, Li J, Qi J, Wang L, Wu J. ZmMYC2s play important roles in maize responses to simulated herbivory and jasmonate. JOURNAL OF INTEGRATIVE PLANT BIOLOGY 2023; 65:1041-1058. [PMID: 36349965 DOI: 10.1111/jipb.13404] [Citation(s) in RCA: 4] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 06/24/2022] [Accepted: 11/07/2022] [Indexed: 06/16/2023]
Abstract
Both herbivory and jasmonic acid (JA) activate the biosynthesis of defensive metabolites in maize, but the mechanism underlying this remains unclear. We generated maize mutants in which ZmMYC2a and ZmMYC2b, two transcription factor genes important in JA signaling, were individually or both knocked out. Genetic and biochemical analyses were used to elucidate the functions of ZmMYC2 proteins in the maize response to simulated herbivory and JA. Compared with the wild-type (WT) maize, the double mutant myc2ab was highly susceptible to insects, and the levels of benzoxazinoids and volatile terpenes, and the levels of their biosynthesis gene transcripts, were much lower in the mutants than in the WT maize after simulated insect feeding or JA treatment. Moreover, ZmMYC2a and ZmMYC2b played a redundant role in maize resistance to insects and JA signaling. Transcriptome and Cleavage Under Targets and Tagmentation-Sequencing (CUT&Tag-Seq) analysis indicated that ZmMYC2s physically targeted 60% of the JA-responsive genes, even though only 33% of these genes were transcriptionally ZmMYC2-dependent. Importantly, CUT&Tag-Seq and dual luciferase assays revealed that ZmMYC2s transactivate the benzoxazinoid and volatile terpene biosynthesis genes IGPS1/3, BX10/11/12/14, and TPS10/2/3/4/5/8 by directly binding to their promoters. Furthermore, several transcription factors physically targeted by ZmMYC2s were identified, and these are likely to function in the regulation of benzoxazinoid biosynthesis. This work reveals the transcriptional regulatory landscapes of both JA signaling and ZmMYC2s in maize and provides comprehensive mechanistic insight into how JA signaling modulates defenses in maize responses to herbivory through ZmMYC2s.
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Affiliation(s)
- Canrong Ma
- Department of Economic Plants and Biotechnology, Yunnan Key Laboratory for Wild Plant Resources, Kunming Institute of Botany, the Chinese Academy of Sciences, Kunming, 650201, China
- Chinese Academy of Science Center for Excellence in Biotic Interactions, University of Chinese Academy of Sciences, Beijing, 100049, China
| | - Ruoyue Li
- Department of Economic Plants and Biotechnology, Yunnan Key Laboratory for Wild Plant Resources, Kunming Institute of Botany, the Chinese Academy of Sciences, Kunming, 650201, China
| | - Yan Sun
- Department of Economic Plants and Biotechnology, Yunnan Key Laboratory for Wild Plant Resources, Kunming Institute of Botany, the Chinese Academy of Sciences, Kunming, 650201, China
| | - Mou Zhang
- Department of Economic Plants and Biotechnology, Yunnan Key Laboratory for Wild Plant Resources, Kunming Institute of Botany, the Chinese Academy of Sciences, Kunming, 650201, China
| | - Sen Li
- Department of Economic Plants and Biotechnology, Yunnan Key Laboratory for Wild Plant Resources, Kunming Institute of Botany, the Chinese Academy of Sciences, Kunming, 650201, China
| | - Yuxing Xu
- Department of Economic Plants and Biotechnology, Yunnan Key Laboratory for Wild Plant Resources, Kunming Institute of Botany, the Chinese Academy of Sciences, Kunming, 650201, China
- Chinese Academy of Science Center for Excellence in Biotic Interactions, University of Chinese Academy of Sciences, Beijing, 100049, China
| | - Juan Song
- Department of Economic Plants and Biotechnology, Yunnan Key Laboratory for Wild Plant Resources, Kunming Institute of Botany, the Chinese Academy of Sciences, Kunming, 650201, China
- Chinese Academy of Science Center for Excellence in Biotic Interactions, University of Chinese Academy of Sciences, Beijing, 100049, China
| | - Jing Li
- Department of Economic Plants and Biotechnology, Yunnan Key Laboratory for Wild Plant Resources, Kunming Institute of Botany, the Chinese Academy of Sciences, Kunming, 650201, China
- Chinese Academy of Science Center for Excellence in Biotic Interactions, University of Chinese Academy of Sciences, Beijing, 100049, China
| | - Jinfeng Qi
- Department of Economic Plants and Biotechnology, Yunnan Key Laboratory for Wild Plant Resources, Kunming Institute of Botany, the Chinese Academy of Sciences, Kunming, 650201, China
- Chinese Academy of Science Center for Excellence in Biotic Interactions, University of Chinese Academy of Sciences, Beijing, 100049, China
| | - Lei Wang
- Department of Economic Plants and Biotechnology, Yunnan Key Laboratory for Wild Plant Resources, Kunming Institute of Botany, the Chinese Academy of Sciences, Kunming, 650201, China
- Chinese Academy of Science Center for Excellence in Biotic Interactions, University of Chinese Academy of Sciences, Beijing, 100049, China
| | - Jianqiang Wu
- Department of Economic Plants and Biotechnology, Yunnan Key Laboratory for Wild Plant Resources, Kunming Institute of Botany, the Chinese Academy of Sciences, Kunming, 650201, China
- Chinese Academy of Science Center for Excellence in Biotic Interactions, University of Chinese Academy of Sciences, Beijing, 100049, China
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27
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Chen Y, Wang Y, Liang X, Zhang Y, Fernie AR. Mass spectrometric exploration of phytohormone profiles and signaling networks. TRENDS IN PLANT SCIENCE 2023; 28:399-414. [PMID: 36585336 DOI: 10.1016/j.tplants.2022.12.006] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 08/08/2022] [Revised: 12/03/2022] [Accepted: 12/07/2022] [Indexed: 06/17/2023]
Abstract
Phytohormones have crucial roles in plant growth, development, and acclimation to environmental stress; however, measuring phytohormone levels and unraveling their complex signaling networks and interactions remains challenging. Mass spectrometry (MS) has revolutionized the study of complex biological systems, enabling the comprehensive identification and quantification of phytohormones and their related targets. Here, we review recent advances in MS technologies and highlight studies that have used MS to discover and analyze phytohormone-mediated molecular events. In particular, we focus on the application of MS for profiling phytohormones, elucidating phosphorylation signaling, and mapping protein interactions in plants.
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Affiliation(s)
- Yanmei Chen
- State Key Laboratory of Plant Physiology and Biochemistry, College of Biological Sciences, China Agricultural University, 100193, Beijing, China.
| | - Yi Wang
- State Key Laboratory of Wheat and Maize Crop Science, College of Resources and Environment, Henan Agricultural University, 450002, Zhengzhou, China
| | - Xinlin Liang
- State Key Laboratory of Plant Physiology and Biochemistry, College of Biological Sciences, China Agricultural University, 100193, Beijing, China
| | - Youjun Zhang
- Center of Plant Systems Biology and Biotechnology, 4000 Plovdiv, Bulgaria; Max-Planck-Institute of Molecular Plant Physiology, 14476 Potsdam-Golm, Germany
| | - Alisdair R Fernie
- Center of Plant Systems Biology and Biotechnology, 4000 Plovdiv, Bulgaria; Max-Planck-Institute of Molecular Plant Physiology, 14476 Potsdam-Golm, Germany
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28
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Yue P, Jiang Z, Sun Q, Wei R, Yin Y, Xie Z, Larkin RM, Ye J, Chai L, Deng X. Jasmonate activates a CsMPK6-CsMYC2 module that regulates the expression of β-citraurin biosynthetic genes and fruit coloration in orange (Citrus sinensis). THE PLANT CELL 2023; 35:1167-1185. [PMID: 36530163 PMCID: PMC10052374 DOI: 10.1093/plcell/koac363] [Citation(s) in RCA: 11] [Impact Index Per Article: 11.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 03/03/2022] [Accepted: 12/12/2022] [Indexed: 06/17/2023]
Abstract
Carotenoids are natural pigments that influence the color of citrus fruit. The red-colored carotenoid β-citraurin is responsible for the peel color in "Newhall" orange (Citrus sinensis). Although jasmonates are known to regulate the biosynthesis and accumulation of carotenoids, their effects on β-citraurin biosynthesis in citrus fruit remain unclear. Here, we determined that treatment with methyl jasmonate (MeJA) significantly promotes fruit coloration and β-citraurin production in "Newhall" orange. A MeJA treatment induced the expression of CsMYC2, which encodes a transcription factor that serves as a master regulator of jasmonate responses. CsMYC2 bound the promoter of the gene that encodes carotenoid cleavage dioxygenase 4b (CsCCD4b), the key gene for β-citraurin biosynthesis, and the promoters of genes that encode phytoene synthase (CsPSY), lycopene β-cyclase (CsLCYb), and β-carotene hydroxylase (CsBCH) and induced their expression. In addition, CsMYC2 promoted CsMPK6 expression. Notably, we found that CsMPK6 interacted with CsMYC2 and that this interaction decreased the stability and DNA-binding activity of CsMYC2. Thus, we conclude that negative feedback regulation attenuates JA signaling during the jasmonate-induced coloration of citrus fruit. Together, our findings indicate that jasmonates induce β-citraurin biosynthesis in citrus by activating a CsMPK6-CsMYC2 cascade, thereby affecting fruit coloration.
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Affiliation(s)
| | - Zhenghua Jiang
- Key Laboratory of Horticultural Plant Biology of MOE (Ministry of Education), Huazhong Agricultural University Wuhan, Hubei 430070, China
| | - Quan Sun
- Key Laboratory of Horticultural Plant Biology of MOE (Ministry of Education), Huazhong Agricultural University Wuhan, Hubei 430070, China
| | - Ranran Wei
- Key Laboratory of Horticultural Plant Biology of MOE (Ministry of Education), Huazhong Agricultural University Wuhan, Hubei 430070, China
| | - Yingzi Yin
- Key Laboratory of Horticultural Plant Biology of MOE (Ministry of Education), Huazhong Agricultural University Wuhan, Hubei 430070, China
| | - Zongzhou Xie
- Key Laboratory of Horticultural Plant Biology of MOE (Ministry of Education), Huazhong Agricultural University Wuhan, Hubei 430070, China
| | - Robert M Larkin
- Key Laboratory of Horticultural Plant Biology of MOE (Ministry of Education), Huazhong Agricultural University Wuhan, Hubei 430070, China
| | - Junli Ye
- Key Laboratory of Horticultural Plant Biology of MOE (Ministry of Education), Huazhong Agricultural University Wuhan, Hubei 430070, China
| | - Lijun Chai
- Key Laboratory of Horticultural Plant Biology of MOE (Ministry of Education), Huazhong Agricultural University Wuhan, Hubei 430070, China
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29
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Rosas-Diaz T, Cana-Quijada P, Wu M, Hui D, Fernandez-Barbero G, Macho AP, Solano R, Castillo AG, Wang XW, Lozano-Duran R, Bejarano ER. The transcriptional regulator JAZ8 interacts with the C2 protein from geminiviruses and limits the geminiviral infection in Arabidopsis. JOURNAL OF INTEGRATIVE PLANT BIOLOGY 2023. [PMID: 36946519 DOI: 10.1111/jipb.13482] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 09/06/2022] [Accepted: 03/17/2023] [Indexed: 05/06/2023]
Abstract
Jasmonates (JAs) are phytohormones that finely regulate critical biological processes, including plant development and defense. JASMONATE ZIM-DOMAIN (JAZ) proteins are crucial transcriptional regulators that keep JA-responsive genes in a repressed state. In the presence of JA-Ile, JAZ repressors are ubiquitinated and targeted for degradation by the ubiquitin/proteasome system, allowing the activation of downstream transcription factors and, consequently, the induction of JA-responsive genes. A growing body of evidence has shown that JA signaling is crucial in defending against plant viruses and their insect vectors. Here, we describe the interaction of C2 proteins from two tomato-infecting geminiviruses from the genus Begomovirus, tomato yellow leaf curl virus (TYLCV) and tomato yellow curl Sardinia virus (TYLCSaV), with the transcriptional repressor JAZ8 from Arabidopsis thaliana and its closest orthologue in tomato, SlJAZ9. Both JAZ and C2 proteins colocalize in the nucleus, forming discrete nuclear speckles. Overexpression of JAZ8 did not lead to altered responses to TYLCV infection in Arabidopsis; however, knock-down of JAZ8 favors geminiviral infection. Low levels of JAZ8 likely affect the viral infection specifically, since JAZ8-silenced plants neither display obvious developmental phenotypes nor present differences in their interaction with the viral insect vector. In summary, our results show that the geminivirus-encoded C2 interacts with JAZ8 in the nucleus, and suggest that this plant protein exerts an anti-geminiviral effect.
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Affiliation(s)
- Tabata Rosas-Diaz
- Departamento de Biología Celular, Genética y Fisiología, Facultad de Ciencias, Instituto de Hortofruticultura Subtropical y Mediterránea "La Mayora" (IHSM-UMA-CSIC), Universidad de Málaga, Málaga, Spain
- Shanghai Center for Plant Stress Biology, CAS Center for Excellence in Molecular Plant Sciences, Chinese Academy of Sciences, Shanghai, 201602, China
| | - Pepe Cana-Quijada
- Departamento de Biología Celular, Genética y Fisiología, Facultad de Ciencias, Instituto de Hortofruticultura Subtropical y Mediterránea "La Mayora" (IHSM-UMA-CSIC), Universidad de Málaga, Málaga, Spain
| | - Mengshi Wu
- Shanghai Center for Plant Stress Biology, CAS Center for Excellence in Molecular Plant Sciences, Chinese Academy of Sciences, Shanghai, 201602, China
| | - Du Hui
- Institute of Insect Sciences, Zhejiang University, Hangzhou, 310058, China
| | - Gemma Fernandez-Barbero
- Departamento de Genética Molecular de Plantas, Centro Nacional de Biotecnología-Consejo Superior de Investigaciones Científicas, Madrid, 28049, Spain
| | - Alberto P Macho
- Shanghai Center for Plant Stress Biology, CAS Center for Excellence in Molecular Plant Sciences, Chinese Academy of Sciences, Shanghai, 201602, China
| | - Roberto Solano
- Departamento de Genética Molecular de Plantas, Centro Nacional de Biotecnología-Consejo Superior de Investigaciones Científicas, Madrid, 28049, Spain
| | - Araceli G Castillo
- Departamento de Biología Celular, Genética y Fisiología, Facultad de Ciencias, Instituto de Hortofruticultura Subtropical y Mediterránea "La Mayora" (IHSM-UMA-CSIC), Universidad de Málaga, Málaga, Spain
| | - Xiao-Wei Wang
- Institute of Insect Sciences, Zhejiang University, Hangzhou, 310058, China
| | - Rosa Lozano-Duran
- Shanghai Center for Plant Stress Biology, CAS Center for Excellence in Molecular Plant Sciences, Chinese Academy of Sciences, Shanghai, 201602, China
- Department of Plant Biochemistry, Centre for Plant Molecular Biology, Eberhard Karls University, Tübingen, D-72076, Germany
| | - Eduardo R Bejarano
- Departamento de Biología Celular, Genética y Fisiología, Facultad de Ciencias, Instituto de Hortofruticultura Subtropical y Mediterránea "La Mayora" (IHSM-UMA-CSIC), Universidad de Málaga, Málaga, Spain
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30
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Yin L, Zander M, Huang SSC, Xie M, Song L, Saldierna Guzmán JP, Hann E, Shanbhag BK, Ng S, Jain S, Janssen BJ, Clark NM, Walley JW, Beddoe T, Bar-Joseph Z, Lewsey MG, Ecker JR. Transcription Factor Dynamics in Cross-Regulation of Plant Hormone Signaling Pathways. BIORXIV : THE PREPRINT SERVER FOR BIOLOGY 2023:2023.03.07.531630. [PMID: 36945593 PMCID: PMC10028877 DOI: 10.1101/2023.03.07.531630] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 03/11/2023]
Abstract
Cross-regulation between hormone signaling pathways is indispensable for plant growth and development. However, the molecular mechanisms by which multiple hormones interact and co-ordinate activity need to be understood. Here, we generated a cross-regulation network explaining how hormone signals are integrated from multiple pathways in etiolated Arabidopsis (Arabidopsis thaliana) seedlings. To do so we comprehensively characterized transcription factor activity during plant hormone responses and reconstructed dynamic transcriptional regulatory models for six hormones; abscisic acid, brassinosteroid, ethylene, jasmonic acid, salicylic acid and strigolactone/karrikin. These models incorporated target data for hundreds of transcription factors and thousands of protein-protein interactions. Each hormone recruited different combinations of transcription factors, a subset of which were shared between hormones. Hub target genes existed within hormone transcriptional networks, exhibiting transcription factor activity themselves. In addition, a group of MITOGEN-ACTIVATED PROTEIN KINASES (MPKs) were identified as potential key points of cross-regulation between multiple hormones. Accordingly, the loss of function of one of these (MPK6) disrupted the global proteome, phosphoproteome and transcriptome during hormone responses. Lastly, we determined that all hormones drive substantial alternative splicing that has distinct effects on the transcriptome compared with differential gene expression, acting in early hormone responses. These results provide a comprehensive understanding of the common features of plant transcriptional regulatory pathways and how cross-regulation between hormones acts upon gene expression.
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Affiliation(s)
- Lingling Yin
- La Trobe Institute for Agriculture and Food, Department of Animal, Plant and Soil Sciences, School of Agriculture Biomedicine and Environment, AgriBio Building, La Trobe University, Melbourne, VIC 3086, Australia
- Australian Research Council Industrial Transformation Research Hub for Medicinal Agriculture, AgriBio Building, La Trobe University, Bundoora, VIC 3086, Australia
| | - Mark Zander
- Plant Biology Laboratory, Salk Institute for Biological Studies, La Jolla, CA 92037, USA
- Genomic Analysis Laboratory, Salk Institute for Biological Studies, La Jolla, CA 92037, USA
- Howard Hughes Medical Institute, Salk Institute for Biological Studies, La Jolla, CA 92037, USA
- Present address: Waksman Institute of Microbiology, Department of Plant Biology, Rutgers, The State University of New Jersey, NJ 08854, USA
| | - Shao-shan Carol Huang
- Plant Biology Laboratory, Salk Institute for Biological Studies, La Jolla, CA 92037, USA
- Genomic Analysis Laboratory, Salk Institute for Biological Studies, La Jolla, CA 92037, USA
- Howard Hughes Medical Institute, Salk Institute for Biological Studies, La Jolla, CA 92037, USA
- Present address: Department of Biology, New York University, New York, NY 10003, USA
| | - Mingtang Xie
- Plant Biology Laboratory, Salk Institute for Biological Studies, La Jolla, CA 92037, USA
- Genomic Analysis Laboratory, Salk Institute for Biological Studies, La Jolla, CA 92037, USA
- Howard Hughes Medical Institute, Salk Institute for Biological Studies, La Jolla, CA 92037, USA
- Present address: Cibus, San Diego, CA 92121, USA
| | - Liang Song
- Plant Biology Laboratory, Salk Institute for Biological Studies, La Jolla, CA 92037, USA
- Genomic Analysis Laboratory, Salk Institute for Biological Studies, La Jolla, CA 92037, USA
- Howard Hughes Medical Institute, Salk Institute for Biological Studies, La Jolla, CA 92037, USA
- Present address: Department of Botany, The University of British Columbia, Vancouver, British Columbia, Canada
| | - J. Paola Saldierna Guzmán
- Plant Biology Laboratory, Salk Institute for Biological Studies, La Jolla, CA 92037, USA
- Howard Hughes Medical Institute, Salk Institute for Biological Studies, La Jolla, CA 92037, USA
- Present address: Department of Soil and Crop Sciences, Colorado State University, Fort Collins, Colorado, USA
| | - Elizabeth Hann
- Plant Biology Laboratory, Salk Institute for Biological Studies, La Jolla, CA 92037, USA
- Present address: Department of Chemical and Environmental Engineering, Department of Botany and Plant Sciences, University of California, Riverside, CA 92521, USA
| | - Bhuvana K. Shanbhag
- La Trobe Institute for Agriculture and Food, Department of Animal, Plant and Soil Sciences, School of Agriculture Biomedicine and Environment, AgriBio Building, La Trobe University, Melbourne, VIC 3086, Australia
- Australian Research Council Industrial Transformation Research Hub for Medicinal Agriculture, AgriBio Building, La Trobe University, Bundoora, VIC 3086, Australia
| | - Sophia Ng
- La Trobe Institute for Agriculture and Food, Department of Animal, Plant and Soil Sciences, School of Agriculture Biomedicine and Environment, AgriBio Building, La Trobe University, Melbourne, VIC 3086, Australia
- Australian Research Council Industrial Transformation Research Hub for Medicinal Agriculture, AgriBio Building, La Trobe University, Bundoora, VIC 3086, Australia
| | - Siddhartha Jain
- Computational Biology Department, School of Computer Science, Carnegie Mellon University, Pittsburgh, PA 15213, USA
| | - Bart J. Janssen
- The New Zealand Institute for Plant & Food Research Limited, Auckland, New Zealand
| | - Natalie M. Clark
- Proteomics Platform, Broad Institute of MIT and Harvard, Cambridge, MA, 02142 USA
- Department of Plant Pathology, Entomology, and Microbiology, Iowa State University, Ames, IA, 50011 USA
| | - Justin W. Walley
- Department of Plant Pathology, Entomology, and Microbiology, Iowa State University, Ames, IA, 50011 USA
| | - Travis Beddoe
- La Trobe Institute for Agriculture and Food, Department of Animal, Plant and Soil Sciences, School of Agriculture Biomedicine and Environment, AgriBio Building, La Trobe University, Melbourne, VIC 3086, Australia
- Australian Research Council Industrial Transformation Research Hub for Medicinal Agriculture, AgriBio Building, La Trobe University, Bundoora, VIC 3086, Australia
| | - Ziv Bar-Joseph
- Computational Biology Department, School of Computer Science, Carnegie Mellon University, Pittsburgh, PA 15213, USA
| | - Mathew G. Lewsey
- La Trobe Institute for Agriculture and Food, Department of Animal, Plant and Soil Sciences, School of Agriculture Biomedicine and Environment, AgriBio Building, La Trobe University, Melbourne, VIC 3086, Australia
- Australian Research Council Industrial Transformation Research Hub for Medicinal Agriculture, AgriBio Building, La Trobe University, Bundoora, VIC 3086, Australia
- Australian Research Council Centre of Excellence in Plants For Space, AgriBio Building, La Trobe University, Bundoora, VIC 3086, Australia
| | - Joseph R. Ecker
- Plant Biology Laboratory, Salk Institute for Biological Studies, La Jolla, CA 92037, USA
- Genomic Analysis Laboratory, Salk Institute for Biological Studies, La Jolla, CA 92037, USA
- Howard Hughes Medical Institute, Salk Institute for Biological Studies, La Jolla, CA 92037, USA
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31
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Dong G, Wang H, Qi J, Leng Y, Huang J, Zhang H, Yan J. Transcriptome analysis of Taraxacum kok-saghyz reveals the role of exogenous methyl jasmonate in regulating rubber biosynthesis and drought tolerance. Gene 2023; 867:147346. [PMID: 36898514 DOI: 10.1016/j.gene.2023.147346] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/24/2022] [Revised: 01/17/2023] [Accepted: 03/02/2023] [Indexed: 03/11/2023]
Abstract
Taraxacum kok-saghyz has been identified as one of the most promising alternative rubber crops, with laticifer cells that produce high-quality rubber. To uncover the underlying molecular mechanisms regulating natural rubber biosynthesis under MeJA induction, a reference transcriptome was constructed from nine samples of T. kok-saghyz. MeJA treatment was applied for 0 h (control), 6 h, and 24 h. A total of 7452 differentially expressed genes (DEGs) were identified in response to MeJA stress, relative to the control. Functional enrichment showed that these DEGs were primarily related to hormone signaling, defensive responses, and secondary metabolism. Combined analysis of the DEGs induced by MeJA and high-expression genes in laticifer cells further identified seven DEGs related to natural rubber biosynthesis that were upregulated in latex tissue, suggesting that these candidate genes could prove valuable in studying the mechanism of MeJA-mediated natural rubber biosynthesis. In addition, 415 MeJA-responsive DEGs were from several transcription factor families associated with drought resistance. This study helps to elucidate the mechanism of natural rubber biosynthesis in T. kok-saghyz in response to MeJA stress and identifies key candidate MeJA-induced DEGs in laticifer tissue, as well as a candidate drought-response target gene, whose knowledge will promote the breeding of T. kok-saghyz in the aspect of rubber yields and quality, and drought tolerance.
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Affiliation(s)
- Gaoquan Dong
- College of Life Sciences, Shihezi University, Shihezi, 832003, China
| | - Hainan Wang
- College of Life Sciences, Shihezi University, Shihezi, 832003, China
| | - Jiyan Qi
- College of Tropical Crops, Hainan University, Haikou, 570228, China
| | - Yadong Leng
- College of Life Sciences, Shihezi University, Shihezi, 832003, China
| | - Jun Huang
- College of Life Sciences, Shihezi University, Shihezi, 832003, China
| | - Hao Zhang
- Institute of gardening and greening, Xinjiang Academy of Forestry Sciences, Urumqi, 830000, China.
| | - Jie Yan
- College of Life Sciences, Shihezi University, Shihezi, 832003, China.
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32
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Kao CY, Chang CT, Kuo PY, Lin CJ, Chiu HH, Liao HW. Sequential isolation of metabolites and lipids from a single sample to achieve multiomics by using TRIzol reagent. Talanta 2023; 258:124416. [PMID: 36889188 DOI: 10.1016/j.talanta.2023.124416] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/12/2022] [Revised: 02/13/2023] [Accepted: 03/02/2023] [Indexed: 03/06/2023]
Abstract
Simultaneous extraction of various types of biomolecule from a single sample can be beneficial for multiomics studies of unique specimens. An efficient and convenient sample preparation approach must be developed that can comprehensively isolate and extract biomolecules from one sample. TRIzol reagent is widely used in biological studies for DNA, RNA, and protein isolation. This study evaluated the feasibility of using TRIzol reagent for the simultaneous isolation of not only DNA, RNA, and proteins but also metabolites and lipids from a single sample. Through the comparison of known metabolites and lipids obtained using the conventional methanol (MeOH) and methyl-tert-butyl ether (MTBE) extraction methods, we determined the presence of metabolites and lipids in the supernatant during TRIzol sequential isolation. Finally, we performed untargeted metabolomics and lipidomics to examine metabolite and lipid alterations associated with the jhp0417 mutation in Helicobacter pylori by using the TRIzol sequential isolation protocol and MeOH and MTBE extraction methods. Metabolites and lipids with significant differences isolated using the TRIzol sequential isolation protocol were consistent with those obtained using the conventional MeOH and MTBE extraction methods. These results indicated that TRIzol reagent can be used to simultaneously isolate metabolites and lipids from a single sample. Thus, TRIzol reagent can be used in biological and clinical research, especially in multiomics studies.
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Affiliation(s)
- Cheng-Yen Kao
- Institute of Microbiology and Immunology, College of Life Sciences, National Yang Ming Chiao Tung University, Taipei, 11221, Taiwan
| | - Chung-Te Chang
- Institute of Biochemistry and Molecular Biology, College of Life Sciences, National Yang Ming Chiao Tung University, Taipei, 11221, Taiwan
| | - Pei-Yun Kuo
- Institute of Microbiology and Immunology, College of Life Sciences, National Yang Ming Chiao Tung University, Taipei, 11221, Taiwan
| | - Chia-Jen Lin
- Department of Pharmacy, National Yang Ming Chiao Tung University, Taipei, 11221, Taiwan
| | - Huai-Hsuan Chiu
- The Metabolomics Core Laboratory, Centers of Genomic and Precision Medicine, National Taiwan University, Taipei, 10617, Taiwan; Department of Medical Research, National Taiwan University Hospital, Taipei, 10617, Taiwan
| | - Hsiao-Wei Liao
- Department of Pharmacy, National Yang Ming Chiao Tung University, Taipei, 11221, Taiwan.
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33
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Xia L, Yao Y, Zeng Y, Guo Z, Zhang S. Acetic acid enhances drought tolerance more in female than in male willows. PHYSIOLOGIA PLANTARUM 2023; 175:e13890. [PMID: 36917073 DOI: 10.1111/ppl.13890] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 12/20/2022] [Revised: 03/08/2023] [Accepted: 03/09/2023] [Indexed: 06/18/2023]
Abstract
Drought is an important stress factor that limits plant growth and development. Female willows generally display stronger drought tolerance than males. The application of exogenous acetic acid (AA) has emerged as an efficient and eco-friendly approach to facilitate drought tolerance in willows. However, whether AA exerts sexually different effects on willows remains undefined. In this study, we comprehensively performed morphological and physiological analyses on three willow species, Salix rehderiana, Salix babylonica, and Salix matsudana, to investigate the sexually different responses to drought and AA. The results indicated that willow females were more drought-tolerant than males. AA application effectively enhanced willows' drought tolerance, and females applied with AA displayed greater root distribution and activity, stronger osmotic and antioxidant capacity and photosynthetic rate but less reactive oxygen species, or abscisic acid-mediated stomatal closure than males. In addition, AA application enhanced the jasmonic acid signaling pathway in females but inhibited it in males, conferring stronger drought defense capacity in female willows than in males. Overall, AA application improves drought tolerance more in female than in male willows, further enlarging the sexual differences in willows under drought-stressed conditions.
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Affiliation(s)
- Linchao Xia
- Key Laboratory for Bio-resource and Eco-environment of Ministry of Education, College of Life Sciences, Sichuan University, Chengdu, 610065, China
| | - Yuan Yao
- Key Laboratory for Bio-resource and Eco-environment of Ministry of Education, College of Life Sciences, Sichuan University, Chengdu, 610065, China
| | - Yi Zeng
- Key Laboratory for Bio-resource and Eco-environment of Ministry of Education, College of Life Sciences, Sichuan University, Chengdu, 610065, China
| | - Zian Guo
- Key Laboratory for Bio-resource and Eco-environment of Ministry of Education, College of Life Sciences, Sichuan University, Chengdu, 610065, China
| | - Sheng Zhang
- Key Laboratory for Bio-resource and Eco-environment of Ministry of Education, College of Life Sciences, Sichuan University, Chengdu, 610065, China
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34
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Depuydt T, De Rybel B, Vandepoele K. Charting plant gene functions in the multi-omics and single-cell era. TRENDS IN PLANT SCIENCE 2023; 28:283-296. [PMID: 36307271 DOI: 10.1016/j.tplants.2022.09.008] [Citation(s) in RCA: 15] [Impact Index Per Article: 15.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 05/20/2022] [Revised: 09/09/2022] [Accepted: 09/30/2022] [Indexed: 06/16/2023]
Abstract
Despite the increased access to high-quality plant genome sequences, the set of genes with a known function remains far from complete. With the advent of novel bulk and single-cell omics profiling methods, we are entering a new era where advanced and highly integrative functional annotation strategies are being developed to elucidate the functions of all plant genes. Here, we review different multi-omics approaches to improve functional and regulatory gene characterization and highlight the power of machine learning and network biology to fully exploit the complementary information embedded in different omics layers. Finally, we discuss the potential of emerging single-cell methods and algorithms to further increase the resolution, allowing generation of functional insights about plant biology.
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Affiliation(s)
- Thomas Depuydt
- Ghent University, Department of Plant Biotechnology and Bioinformatics, Ghent, Belgium; Vlaams Instituut voor Biotechnologie, Center for Plant Systems Biology, Ghent, Belgium
| | - Bert De Rybel
- Ghent University, Department of Plant Biotechnology and Bioinformatics, Ghent, Belgium; Vlaams Instituut voor Biotechnologie, Center for Plant Systems Biology, Ghent, Belgium
| | - Klaas Vandepoele
- Ghent University, Department of Plant Biotechnology and Bioinformatics, Ghent, Belgium; Vlaams Instituut voor Biotechnologie, Center for Plant Systems Biology, Ghent, Belgium; Ghent University, Bioinformatics Institute Ghent, Ghent, Belgium.
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35
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Yan J, Wang X. Machine learning bridges omics sciences and plant breeding. TRENDS IN PLANT SCIENCE 2023; 28:199-210. [PMID: 36153276 DOI: 10.1016/j.tplants.2022.08.018] [Citation(s) in RCA: 21] [Impact Index Per Article: 21.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 03/08/2022] [Revised: 08/15/2022] [Accepted: 08/23/2022] [Indexed: 06/16/2023]
Abstract
Some of the biological knowledge obtained from fundamental research will be implemented in applied plant breeding. To bridge basic research and breeding practice, machine learning (ML) holds great promise to translate biological knowledge and omics data into precision-designed plant breeding. Here, we review ML for multi-omics analysis in plants, including data dimensionality reduction, inference of gene-regulation networks, and gene discovery and prioritization. These applications will facilitate understanding trait regulation mechanisms and identifying target genes potentially applicable to knowledge-driven molecular design breeding. We also highlight applications of deep learning in plant phenomics and ML in genomic selection-assisted breeding, such as various ML algorithms that model the correlations among genotypes (genes), phenotypes (traits), and environments, to ultimately achieve data-driven genomic design breeding.
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Affiliation(s)
- Jun Yan
- National Maize Improvement Center, College of Agronomy and Biotechnology, China Agricultural University, Beijing 100094, China; Frontiers Science Center for Molecular Design Breeding, China Agricultural University, Beijing 100094, China
| | - Xiangfeng Wang
- National Maize Improvement Center, College of Agronomy and Biotechnology, China Agricultural University, Beijing 100094, China; Frontiers Science Center for Molecular Design Breeding, China Agricultural University, Beijing 100094, China.
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Pseudophosphorylation of Arabidopsis jasmonate biosynthesis enzyme lipoxygenase 2 via mutation of Ser 600 inhibits enzyme activity. J Biol Chem 2023; 299:102898. [PMID: 36639029 PMCID: PMC9947334 DOI: 10.1016/j.jbc.2023.102898] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/05/2022] [Revised: 01/07/2023] [Accepted: 01/09/2023] [Indexed: 01/12/2023] Open
Abstract
Jasmonates are oxylipin phytohormones critical for plant resistance against necrotrophic pathogens and chewing herbivores. An early step in their biosynthesis is catalyzed by non-heme iron lipoxygenases (LOX; EC 1.13.11.12). In Arabidopsis thaliana, phosphorylation of Ser600 of AtLOX2 was previously reported, but whether phosphorylation regulates AtLOX2 activity is unclear. Here, we characterize the kinetic properties of recombinant WT AtLOX2 (AtLOX2WT). AtLOX2WT displays positive cooperativity with α-linolenic acid (α-LeA, jasmonate precursor), linoleic acid (LA), and arachidonic acid (AA) as substrates. Enzyme velocity with endogenous substrates α-LeA and LA increased with pH. For α-LeA, this increase was accompanied by a decrease in substrate affinity at alkaline pH; thus, the catalytic efficiency for α-LeA was not affected over the pH range tested. Analysis of Ser600 phosphovariants demonstrated that pseudophosphorylation inhibits enzyme activity. AtLOX2 activity was not detected in phosphomimics Atlox2S600D and Atlox2S600M when α-LeA or AA were used as substrates. In contrast, phosphonull mutant Atlox2S600A exhibited strong activity with all three substrates, α-LeA, LA, and AA. Structural comparison between the AtLOX2 AlphaFold model and a complex between 8R-LOX and a 20C polyunsaturated fatty acid suggests a close proximity between AtLOX2 Ser600 and the carboxylic acid head group of the polyunsaturated fatty acid. This analysis indicates that Ser600 is located at a critical position within the AtLOX2 structure and highlights how Ser600 phosphorylation could affect AtLOX2 catalytic activity. Overall, we propose that AtLOX2 Ser600 phosphorylation represents a key mechanism for the regulation of AtLOX2 activity and, thus, the jasmonate biosynthesis pathway and plant resistance.
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Wang N, Shu X, Zhang F, Wang Z. Transcriptome-wide characterization of bHLH transcription factor genes in Lycoris radiata and functional analysis of their response to MeJA. FRONTIERS IN PLANT SCIENCE 2023; 13:975530. [PMID: 36704164 PMCID: PMC9872026 DOI: 10.3389/fpls.2022.975530] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 06/22/2022] [Accepted: 12/12/2022] [Indexed: 06/18/2023]
Abstract
As one of the biggest plant specific transcription factor (TF) families, basic helix-loop-helix (bHLH) protein, plays significant roles in plant growth, development, and abiotic stress responses. However, there has been minimal research about the effects of methyl jasmonate (MeJA) treatment on the bHLH gene family in Lycoris radiata (L'Her.) Herb. In this study, based on transcriptome sequencing data, 50 putative L. radiata bHLH (LrbHLH) genes with complete open reading frames (ORFs), which were divided into 20 bHLH subfamilies, were identified. The protein motif analyses showed that a total of 10 conserved motifs were found in LrbHLH proteins and motif 1 and motif 2 were the most highly conserved motifs. Gene ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) enrichment analysis of LrbHLH genes revealed their involvement in regulation of plant growth, jasmonic acid (JA) mediated signaling pathway, photoperiodism, and flowering. Furthermore, subcellular localization revealed that most LrbHLHs were located in the nucleus. Expression pattern analysis of LrbHLH genes in different tissues and at flower developmental stages suggested that their expression differed across lineages and might be important for plant growth and organ development in Lycoris. In addition, all LrbHLH genes exhibited specific spatial and temporal expression patterns under MeJA treatment. Moreover, protein-protein interaction (PPI) network analysis and yeast two-hybrid assay showed that numerous LrbHLHs could interact with jasmonate ZIM (zinc-finger inflorescence meristem) domain (JAZ) proteins. This research provides a theoretical basis for further investigation of LrbHLHs to find their functions and insights for their regulatory mechanisms involved in JA signaling pathway.
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Yu D, Dong X, Zou K, Jiang XD, Sun YB, Min Z, Zhang LP, Cui H, Hu JY. A hidden mutation in the seventh WD40-repeat of COP1 determines the early flowering trait in a set of Arabidopsis myc mutants. THE PLANT CELL 2023; 35:345-350. [PMID: 36331342 PMCID: PMC9806556 DOI: 10.1093/plcell/koac319] [Citation(s) in RCA: 4] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 08/10/2022] [Accepted: 10/11/2022] [Indexed: 05/19/2023]
Affiliation(s)
- Dongmei Yu
- CAS Key Laboratory for Plant Diversity and Biogeography of East Asia, Kunming Institute of Botany, Chinese Academy of Sciences, Kunming, Yunnan 650201, China
| | - Xue Dong
- CAS Key Laboratory for Plant Diversity and Biogeography of East Asia, Kunming Institute of Botany, Chinese Academy of Sciences, Kunming, Yunnan 650201, China
- Germplasm Bank of Wild Species, Kunming Institute of Botany, Chinese Academy of Sciences, Kunming, Yunnan 650201, China
| | - Ke Zou
- State Key Laboratory of Ecological Control of Fujian-Taiwan Crop Pests; Key Laboratory of Ministry of Education for Genetics, Breeding and Multiple Utilization of Crops, Fujian Agriculture and Forestry University, Fuzhou, Fujian 350002, China
| | - Xiao-Dong Jiang
- CAS Key Laboratory for Plant Diversity and Biogeography of East Asia, Kunming Institute of Botany, Chinese Academy of Sciences, Kunming, Yunnan 650201, China
| | - Yi-Bo Sun
- CAS Key Laboratory for Plant Diversity and Biogeography of East Asia, Kunming Institute of Botany, Chinese Academy of Sciences, Kunming, Yunnan 650201, China
| | - Zhijie Min
- CAS Key Laboratory for Plant Diversity and Biogeography of East Asia, Kunming Institute of Botany, Chinese Academy of Sciences, Kunming, Yunnan 650201, China
| | - Li-Ping Zhang
- CAS Key Laboratory for Plant Diversity and Biogeography of East Asia, Kunming Institute of Botany, Chinese Academy of Sciences, Kunming, Yunnan 650201, China
| | - Haitao Cui
- State Key Laboratory of Ecological Control of Fujian-Taiwan Crop Pests; Key Laboratory of Ministry of Education for Genetics, Breeding and Multiple Utilization of Crops, Fujian Agriculture and Forestry University, Fuzhou, Fujian 350002, China
| | - Jin-Yong Hu
- CAS Key Laboratory for Plant Diversity and Biogeography of East Asia, Kunming Institute of Botany, Chinese Academy of Sciences, Kunming, Yunnan 650201, China
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Vandepoele K, Kaufmann K. Characterization of Gene Regulatory Networks in Plants Using New Methods and Data Types. Methods Mol Biol 2023; 2698:1-11. [PMID: 37682465 DOI: 10.1007/978-1-0716-3354-0_1] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 09/09/2023]
Abstract
A major question in plant biology is to understand how plant growth, development, and environmental responses are controlled and coordinated by the activities of regulatory factors. Gene regulatory network (GRN) analyses require integrated approaches that combine experimental approaches with computational analyses. A wide range of experimental approaches and tools are now available, such as targeted perturbation of gene activities, quantitative and cell-type specific measurements of dynamic gene activities, and systematic analysis of the molecular 'hard-wiring' of the systems. At the computational level, different tools and databases are available to study regulatory sequences, including intuitive visualizations to explore data-driven gene regulatory networks in different plant species. Furthermore, advanced data integration approaches have recently been developed to efficiently leverage complementary regulatory data types and learn context-specific networks.
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Affiliation(s)
- Klaas Vandepoele
- Ghent University, Department of Plant Biotechnology and Bioinformatics, Ghent, Belgium.
- VIB-UGent Center for Plant Systems Biology, Ghent, Belgium.
- Bioinformatics Institute Ghent, Ghent University, Ghent, Belgium.
| | - Kerstin Kaufmann
- Institute of Biology, Humboldt-Universitaet zu Berlin, Berlin, Germany
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40
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Chow CN, Yang CW, Chang WC. Databases and prospects of dynamic gene regulation in eukaryotes: A mini review. Comput Struct Biotechnol J 2023; 21:2147-2159. [PMID: 37013004 PMCID: PMC10066511 DOI: 10.1016/j.csbj.2023.03.032] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/03/2022] [Revised: 03/18/2023] [Accepted: 03/19/2023] [Indexed: 04/05/2023] Open
Abstract
In eukaryotes, dynamic regulation enables DNA polymerases to catalyze a variety of RNA products in spatial and temporal patterns. Dynamic gene expression is regulated by transcription factors (TFs) and epigenetics (DNA methylation and histone modification). The applications of biochemical technology and high-throughput sequencing enhance the understanding of mechanisms of these regulations and affected genomic regions. To provide a searchable platform for retrieving such metadata, numerous databases have been developed based on the integration of genome-wide maps (e.g., ChIP-seq, whole-genome bisulfite sequencing, RNA-seq, ATAC-seq, DNase-seq, and MNase-seq data) and functionally genomic annotation. In this mini review, we summarize the main functions of TF-related databases and outline the prevalent approaches used in inferring epigenetic regulations, their associated genes, and functions. We review the literature on crosstalk between TF and epigenetic regulation and the properties of non-coding RNA regulation, which are challenging topics that promise to pave the way for advances in database development.
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Chen X, Liu YQ, Wu MN, Yan L, Chen CY, Mu YP, Liu YJ, Wang MY, Chen XY, Mao YB. A highly accumulated secretory protein from cotton bollworm interacts with basic helix-loop-helix transcription factors to dampen plant defense. THE NEW PHYTOLOGIST 2023; 237:265-278. [PMID: 36131553 DOI: 10.1111/nph.18507] [Citation(s) in RCA: 6] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 01/27/2022] [Accepted: 09/07/2022] [Indexed: 06/15/2023]
Abstract
Caterpillar oral secretion (OS) contains active molecules that modulate plant defense signaling. We isolated an effector-like protein (Highly Accumulated Secretory Protein 1, HAS1) from cotton bollworm (Helicoverpa armigera) that is the most highly accumulated secretory protein of the nondigestive components in OS and belongs to venom R-like protein. Elimination of HAS1 by plant-mediated RNA interference reduced the suppression of OS on the defense response in plants. Plants expressing HAS1 are more susceptible to insect herbivory accompanied by the reduced expressions of multiple defense genes. HAS1 binds to the basic helix-loop-helix (bHLH) transcription factors, including GoPGF involved in pigmented gland formation and defense compounds biosynthesis in cotton and MYC3/MYC4 the main regulators in jasmonate (JA) signaling in Arabidopsis. The binding activity is required for HAS1 to inhibit the activation of bHLHs on plant defense gene expressions. Together with our previous study that another venom R-like protein HARP1 in cotton bollworm OS blocks JA signaling by interacting with JASMONATE-ZIM-domain repressors, we conclude that the venom R-like proteins in OS interfere with plant defense in a dual suppression manner. Considering the venom proteins in parasitic wasp assault the immune system of its host animal, our investigation reveals their conserved function in carnivorous and herbivorous insects.
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Affiliation(s)
- Xueying Chen
- National Key Laboratory of Plant Molecular Genetics, CAS Center for Excellence in Molecular Plant Sciences, Shanghai Institute of Plant Physiology and Ecology, University of CAS, Chinese Academy of Sciences, Shanghai, 200032, China
- School of Life Science and Technology, ShanghaiTech University, Shanghai, 200031, China
| | - Yao-Qian Liu
- National Key Laboratory of Plant Molecular Genetics, CAS Center for Excellence in Molecular Plant Sciences, Shanghai Institute of Plant Physiology and Ecology, University of CAS, Chinese Academy of Sciences, Shanghai, 200032, China
- School of Life Science and Technology, ShanghaiTech University, Shanghai, 200031, China
| | - Man-Ni Wu
- CAS Key Laboratory of Insect Developmental and Evolutionary Biology, CAS Center for Excellence in Molecular Plant Sciences, Shanghai Institute of Plant Physiology and Ecology, University of CAS, Chinese Academy of Sciences, Shanghai, 200032, China
| | - Lei Yan
- CAS Key Laboratory of Insect Developmental and Evolutionary Biology, CAS Center for Excellence in Molecular Plant Sciences, Shanghai Institute of Plant Physiology and Ecology, University of CAS, Chinese Academy of Sciences, Shanghai, 200032, China
- Shanghai Key Laboratory of Plant Molecular Sciences, College of Life Sciences, Shanghai Normal University, Shanghai, 200234, China
| | - Chun-Yu Chen
- National Key Laboratory of Plant Molecular Genetics, CAS Center for Excellence in Molecular Plant Sciences, Shanghai Institute of Plant Physiology and Ecology, University of CAS, Chinese Academy of Sciences, Shanghai, 200032, China
| | - Yu-Pei Mu
- CAS Key Laboratory of Insect Developmental and Evolutionary Biology, CAS Center for Excellence in Molecular Plant Sciences, Shanghai Institute of Plant Physiology and Ecology, University of CAS, Chinese Academy of Sciences, Shanghai, 200032, China
| | - Yu-Jie Liu
- CAS Key Laboratory of Insect Developmental and Evolutionary Biology, CAS Center for Excellence in Molecular Plant Sciences, Shanghai Institute of Plant Physiology and Ecology, University of CAS, Chinese Academy of Sciences, Shanghai, 200032, China
- Shanghai Key Laboratory of Plant Molecular Sciences, College of Life Sciences, Shanghai Normal University, Shanghai, 200234, China
| | - Mu-Yang Wang
- CAS Key Laboratory of Insect Developmental and Evolutionary Biology, CAS Center for Excellence in Molecular Plant Sciences, Shanghai Institute of Plant Physiology and Ecology, University of CAS, Chinese Academy of Sciences, Shanghai, 200032, China
| | - Xiao-Ya Chen
- National Key Laboratory of Plant Molecular Genetics, CAS Center for Excellence in Molecular Plant Sciences, Shanghai Institute of Plant Physiology and Ecology, University of CAS, Chinese Academy of Sciences, Shanghai, 200032, China
- School of Life Science and Technology, ShanghaiTech University, Shanghai, 200031, China
| | - Ying-Bo Mao
- CAS Key Laboratory of Insect Developmental and Evolutionary Biology, CAS Center for Excellence in Molecular Plant Sciences, Shanghai Institute of Plant Physiology and Ecology, University of CAS, Chinese Academy of Sciences, Shanghai, 200032, China
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42
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Clark NM, Hurgobin B, Kelley DR, Lewsey MG, Walley JW. A Practical Guide to Inferring Multi-Omics Networks in Plant Systems. Methods Mol Biol 2023; 2698:233-257. [PMID: 37682479 DOI: 10.1007/978-1-0716-3354-0_15] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 09/09/2023]
Abstract
The inference of gene regulatory networks can reveal molecular connections underlying biological processes and improve our understanding of complex biological phenomena in plants. Many previous network studies have inferred networks using only one type of omics data, such as transcriptomics. However, given more recent work applying multi-omics integration in plant biology, such as combining (phospho)proteomics with transcriptomics, it may be advantageous to integrate multiple omics data types into a comprehensive network prediction. Here, we describe a state-of-the-art approach for integrating multi-omics data with gene regulatory network inference to describe signaling pathways and uncover novel regulators. We detail how to download and process transcriptomics and (phospho)proteomics data for network inference, using an example dataset from the plant hormone signaling field. We provide a step-by-step protocol for inference, visualization, and analysis of an integrative multi-omics network using currently available methods. This chapter serves as an accessible guide for novice and intermediate bioinformaticians to analyze their own datasets and reanalyze published work.
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Affiliation(s)
- Natalie M Clark
- Proteomics Platform, Broad Institute of MIT and Harvard, Cambridge, MA, USA.
| | - Bhavna Hurgobin
- Australian Research Council Research Hub for Medicinal Agriculture, La Trobe University, Bundoora, VIC, Australia
- La Trobe Institute for Sustainable Agriculture and Food, Department of Animal, Plant and Soil Sciences, School of Agriculture, Biomedicine and Environment, La Trobe University, Bundoora, VIC, Australia
| | - Dior R Kelley
- Department of Genetics, Development and Cell Biology, Iowa State University, Ames, IA, USA
| | - Mathew G Lewsey
- Australian Research Council Research Hub for Medicinal Agriculture, La Trobe University, Bundoora, VIC, Australia
- La Trobe Institute for Sustainable Agriculture and Food, Department of Animal, Plant and Soil Sciences, School of Agriculture, Biomedicine and Environment, La Trobe University, Bundoora, VIC, Australia
- Australian Research Council Centre of Excellence in Plants for Space, AgriBio Building, La Trobe University, Bundoora, VIC, Australia
| | - Justin W Walley
- Department of Plant Pathology and Microbiology, Iowa State University, Ames, IA, USA
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Han L, Zhong W, Qian J, Jin M, Tian P, Zhu W, Zhang H, Sun Y, Feng JW, Liu X, Chen G, Farid B, Li R, Xiong Z, Tian Z, Li J, Luo Z, Du D, Chen S, Jin Q, Li J, Li Z, Liang Y, Jin X, Peng Y, Zheng C, Ye X, Yin Y, Chen H, Li W, Chen LL, Li Q, Yan J, Yang F, Li L. A multi-omics integrative network map of maize. Nat Genet 2023; 55:144-153. [PMID: 36581701 DOI: 10.1038/s41588-022-01262-1] [Citation(s) in RCA: 22] [Impact Index Per Article: 22.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/12/2021] [Accepted: 11/03/2022] [Indexed: 12/31/2022]
Abstract
Networks are powerful tools to uncover functional roles of genes in phenotypic variation at a system-wide scale. Here, we constructed a maize network map that contains the genomic, transcriptomic, translatomic and proteomic networks across maize development. This map comprises over 2.8 million edges in more than 1,400 functional subnetworks, demonstrating an extensive network divergence of duplicated genes. We applied this map to identify factors regulating flowering time and identified 2,651 genes enriched in eight subnetworks. We validated the functions of 20 genes, including 18 with previously unknown connections to flowering time in maize. Furthermore, we uncovered a flowering pathway involving histone modification. The multi-omics integrative network map illustrates the principles of how molecular networks connect different types of genes and potential pathways to map a genome-wide functional landscape in maize, which should be applicable in a wide range of species.
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Affiliation(s)
- Linqian Han
- National Key Laboratory of Crop Genetic Improvement, Huazhong Agricultural University, Wuhan, China.,Hubei Hongshan Laboratory, Wuhan, China
| | - Wanshun Zhong
- National Key Laboratory of Crop Genetic Improvement, Huazhong Agricultural University, Wuhan, China.,Hubei Hongshan Laboratory, Wuhan, China
| | - Jia Qian
- National Key Laboratory of Crop Genetic Improvement, Huazhong Agricultural University, Wuhan, China.,Hubei Hongshan Laboratory, Wuhan, China
| | - Minliang Jin
- National Key Laboratory of Crop Genetic Improvement, Huazhong Agricultural University, Wuhan, China.,Hubei Hongshan Laboratory, Wuhan, China
| | - Peng Tian
- National Key Laboratory of Crop Genetic Improvement, Huazhong Agricultural University, Wuhan, China.,Hubei Hongshan Laboratory, Wuhan, China
| | - Wanchao Zhu
- National Key Laboratory of Crop Genetic Improvement, Huazhong Agricultural University, Wuhan, China.,Hubei Hongshan Laboratory, Wuhan, China
| | - Hongwei Zhang
- Institute of Crop Sciences, Chinese Academy of Agricultural Sciences, Beijing, China
| | - Yonghao Sun
- National Key Laboratory of Crop Genetic Improvement, Huazhong Agricultural University, Wuhan, China.,Hubei Hongshan Laboratory, Wuhan, China
| | - Jia-Wu Feng
- National Key Laboratory of Crop Genetic Improvement, Huazhong Agricultural University, Wuhan, China
| | - Xiangguo Liu
- Institute of Agricultural Biotechnology, Jilin Academy of Agricultural Sciences, Changchun, China
| | - Guo Chen
- National Key Laboratory of Crop Genetic Improvement, Huazhong Agricultural University, Wuhan, China.,Institute of Nuclear and Biological Technology, Xinjiang Academy of Agricultural Sciences, Urumqi, China
| | - Babar Farid
- National Key Laboratory of Crop Genetic Improvement, Huazhong Agricultural University, Wuhan, China.,Institute of Plant Breeding and Biotechnology, Muhammad Nawaz Shareef University of Agriculture Multan, Multan, Pakistan
| | - Ruonan Li
- National Key Laboratory of Crop Genetic Improvement, Huazhong Agricultural University, Wuhan, China
| | - Zimo Xiong
- National Key Laboratory of Crop Genetic Improvement, Huazhong Agricultural University, Wuhan, China
| | - Zhihui Tian
- College of Science, Huazhong Agricultural University, Wuhan, China
| | - Juan Li
- National Key Laboratory of Crop Genetic Improvement, Huazhong Agricultural University, Wuhan, China.,Hubei Hongshan Laboratory, Wuhan, China
| | - Zi Luo
- National Key Laboratory of Crop Genetic Improvement, Huazhong Agricultural University, Wuhan, China.,Hubei Hongshan Laboratory, Wuhan, China
| | - Dengxiang Du
- National Key Laboratory of Crop Genetic Improvement, Huazhong Agricultural University, Wuhan, China
| | - Sijia Chen
- National Key Laboratory of Crop Genetic Improvement, Huazhong Agricultural University, Wuhan, China
| | - Qixiao Jin
- National Key Laboratory of Crop Genetic Improvement, Huazhong Agricultural University, Wuhan, China.,Hubei Hongshan Laboratory, Wuhan, China
| | - Jiaxin Li
- National Key Laboratory of Crop Genetic Improvement, Huazhong Agricultural University, Wuhan, China
| | - Zhao Li
- National Key Laboratory of Crop Genetic Improvement, Huazhong Agricultural University, Wuhan, China.,Hubei Hongshan Laboratory, Wuhan, China
| | - Yan Liang
- National Key Laboratory of Crop Genetic Improvement, Huazhong Agricultural University, Wuhan, China
| | - Xiaomeng Jin
- National Key Laboratory of Crop Genetic Improvement, Huazhong Agricultural University, Wuhan, China
| | - Yong Peng
- National Key Laboratory of Crop Genetic Improvement, Huazhong Agricultural University, Wuhan, China
| | - Chang Zheng
- National Key Laboratory of Crop Genetic Improvement, Huazhong Agricultural University, Wuhan, China
| | - Xinnan Ye
- Institute of Agricultural Biotechnology, Jilin Academy of Agricultural Sciences, Changchun, China
| | - Yuejia Yin
- Institute of Agricultural Biotechnology, Jilin Academy of Agricultural Sciences, Changchun, China
| | - Hong Chen
- College of Science, Huazhong Agricultural University, Wuhan, China
| | - Weifu Li
- College of Science, Huazhong Agricultural University, Wuhan, China
| | - Ling-Ling Chen
- National Key Laboratory of Crop Genetic Improvement, Huazhong Agricultural University, Wuhan, China
| | - Qing Li
- National Key Laboratory of Crop Genetic Improvement, Huazhong Agricultural University, Wuhan, China.,Hubei Hongshan Laboratory, Wuhan, China
| | - Jianbing Yan
- National Key Laboratory of Crop Genetic Improvement, Huazhong Agricultural University, Wuhan, China. .,Hubei Hongshan Laboratory, Wuhan, China.
| | - Fang Yang
- National Key Laboratory of Crop Genetic Improvement, Huazhong Agricultural University, Wuhan, China. .,Hubei Hongshan Laboratory, Wuhan, China.
| | - Lin Li
- National Key Laboratory of Crop Genetic Improvement, Huazhong Agricultural University, Wuhan, China. .,Hubei Hongshan Laboratory, Wuhan, China.
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Huang LJ, Zhang J, Lin Z, Yu P, Lu M, Li N. The AP2/ERF transcription factor ORA59 regulates ethylene-induced phytoalexin synthesis through modulation of an acyltransferase gene expression. J Cell Physiol 2022. [PMID: 36538653 DOI: 10.1002/jcp.30935] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/16/2022] [Revised: 12/07/2022] [Accepted: 12/09/2022] [Indexed: 06/17/2023]
Abstract
The gaseous ethylene (ET) and the oxylipin-derived jasmonic acid (JA) in plants jointly regulate an arsenal of pathogen responsive genes involved in defending against necrotrophic pathogens. The APETALA2 (AP2)/ETHYLENE RESPONSE FACTOR (ERF) transcription factor ORA59 is a major positive regulator of the ET/JA-mediated defense pathway in Arabidopsis thaliana. The Arabidopsis agmatine coumaroyltransferase (AtACT) catalyzes the formation of hydroxycinnamic acid amides (HCAAs) which are effective toxic antimicrobial substances known as phytoalexins and play an important role in plant defense response. However, induction and regulation of AtACT gene expression and HCAAs synthesis in plants remain less understood. Through gene coexpression network analysis, we identified a list of GCC-box cis-element containing genes that were coexpressed with ORA59 under diverse biotic stress conditions and might be potential downstream targets of this AP2/ERF-domain transcription factor. Particularly, ORA59 directly binds to AtACT gene promoter via the GCC-boxes and activates AtACT gene expression. The ET precursor 1-aminocyclopropane-1-carboxylic acid (ACC)-treatment significantly induces AtACT gene expression. Both ORA59 and members of the class II TGA transcription factors are indispensable for ACC-induced AtACT expression. Interestingly, the expression of AtACT is also subject to the signaling crosstalk of the salicylic acid- and ET/JA-mediated defense response pathways. In addition, we found that genes of the phenylpropanoid metabolism pathway were specifically induced by Botrytis cinerea. Taking together, these evidence suggest that the ET/JA signaling pathway activate the expression of AtACT to increase antimicrobial HCAAs production through the transcription factor ORA59 in response to the infection of necrotrophic plant pathogens.
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Affiliation(s)
- Li-Jun Huang
- Laboratory of Forest Genetics and Plant Breeding, College of Forestry, Central South University of Forestry and Technology, Hunan, China
| | - Jiayi Zhang
- Laboratory of Forest Genetics and Plant Breeding, College of Forestry, Central South University of Forestry and Technology, Hunan, China
| | - Zeng Lin
- State Key Laboratory of Cultivation and Protection for Non-Wood Forest Trees, College of Forestry, Central South University of Forestry and Technology, Hunan, China
| | - Peiyao Yu
- State Key Laboratory of Cultivation and Protection for Non-Wood Forest Trees, College of Forestry, Central South University of Forestry and Technology, Hunan, China
| | - Mengzhu Lu
- Laboratory of Forest Genetics and Plant Breeding, College of Forestry, Central South University of Forestry and Technology, Hunan, China
- State Key Laboratory of Tree Genetics and Breeding, Key Laboratory of Tree Breeding and Cultivation of the State Forestry and Grassland Administration, Research Institute of Forestry, Chinese Academy of Forestry, Beijing, China
- State Key Laboratory of Subtropical Silviculture, School of Forestry and Biotechnology, Zhejiang A and F University, Zhejiang, China
| | - Ning Li
- State Key Laboratory of Cultivation and Protection for Non-Wood Forest Trees, College of Forestry, Central South University of Forestry and Technology, Hunan, China
- Key Laboratory of Forest Bio-resources and Integrated Pest Management for Higher Education in Hunan Province, Central South University of Forestry and Technology, Hunan, China
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Boufleur TR, Massola Júnior NS, Becerra S, Baraldi E, Bibiano LBJ, Sukno SA, Thon MR, Baroncelli R. Comparative transcriptomic provides novel insights into the soybean response to Colletotrichum truncatum infection. FRONTIERS IN PLANT SCIENCE 2022; 13:1046418. [PMID: 36507428 PMCID: PMC9732023 DOI: 10.3389/fpls.2022.1046418] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 09/16/2022] [Accepted: 11/07/2022] [Indexed: 06/17/2023]
Abstract
INTRODUCTION Soybean (Glycine max) is among the most important crops in the world, and its production can be threatened by biotic diseases, such as anthracnose. Soybean anthracnose is a seed-borne disease mainly caused by the hemibiotrophic fungus Colletotrichum truncatum. Typical symptoms are pre- and post-emergence damping off and necrotic lesions on cotyledons, petioles, leaves, and pods. Anthracnose symptoms can appear early in the field, causing major losses to soybean production. MATERIAL AND METHODS In preliminary experiments, we observed that the same soybean cultivar can have a range of susceptibility towards different strains of C. truncatum, while the same C. truncatum strain can cause varying levels of disease severity in different soybean cultivars. To gain a better understanding of the molecular mechanisms regulating the early response of different soybean cultivars to different C. truncatum strains, we performed pathogenicity assays to select two soybean cultivars with significantly different susceptibility to two different C. truncatum strains and analyzed their transcriptome profiles at different time points of interaction (0, 12, 48, and 120 h post-inoculation, hpi). RESULTS AND DISCUSSION The pathogenicity assays showed that the soybean cultivar Gm1 is more resistant to C. truncatum strain 1080, and it is highly susceptible to strain 1059, while cultivar Gm2 shows the opposite behavior. However, if only trivial anthracnose symptoms appeared in the more resistant phenotype (MRP; Gm1-1080; Gm2-1059) upon 120 hpi, in the more susceptible phenotype (MSP; Gm-1059; Gm2- 1080) plants show mild symptoms already at 72 hpi, after which the disease evolved rapidly to severe necrosis and plant death. Interestingly, several genes related to different cellular responses of the plant immune system (pathogen recognition, signaling events, transcriptional reprogramming, and defense-related genes) were commonly modulated at the same time points only in both MRP. The list of differentially expressed genes (DEGs) specific to the more resistant combinations and related to different cellular responses of the plant immune system may shed light on the important host defense pathways against soybean anthracnose.
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Affiliation(s)
- Thaís R. Boufleur
- Department of Plant Pathology and Nematology, Luiz de Queiroz College of Agriculture (ESALQ), University of São Paulo (USP), Piracicaba, Brazil
- Department of Microbiology and Genetics, Institute for Agribiotechnology Research (CIALE), University of Salamanca (USAL), Villamayor, Spain
| | - Nelson S. Massola Júnior
- Department of Plant Pathology and Nematology, Luiz de Queiroz College of Agriculture (ESALQ), University of São Paulo (USP), Piracicaba, Brazil
| | - Sioly Becerra
- Department of Microbiology and Genetics, Institute for Agribiotechnology Research (CIALE), University of Salamanca (USAL), Villamayor, Spain
| | - Elena Baraldi
- Department of Agricultural and Food Sciences (DISTAL), University of Bologna, Bologna, Italy
| | - Líllian B. J. Bibiano
- Department of Plant Pathology and Nematology, Luiz de Queiroz College of Agriculture (ESALQ), University of São Paulo (USP), Piracicaba, Brazil
| | - Serenella A. Sukno
- Department of Microbiology and Genetics, Institute for Agribiotechnology Research (CIALE), University of Salamanca (USAL), Villamayor, Spain
| | - Michael R. Thon
- Department of Microbiology and Genetics, Institute for Agribiotechnology Research (CIALE), University of Salamanca (USAL), Villamayor, Spain
| | - Riccardo Baroncelli
- Department of Microbiology and Genetics, Institute for Agribiotechnology Research (CIALE), University of Salamanca (USAL), Villamayor, Spain
- Department of Agricultural and Food Sciences (DISTAL), University of Bologna, Bologna, Italy
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Bittner A, Cieśla A, Gruden K, Lukan T, Mahmud S, Teige M, Vothknecht UC, Wurzinger B. Organelles and phytohormones: a network of interactions in plant stress responses. JOURNAL OF EXPERIMENTAL BOTANY 2022; 73:7165-7181. [PMID: 36169618 PMCID: PMC9675595 DOI: 10.1093/jxb/erac384] [Citation(s) in RCA: 12] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 04/29/2022] [Accepted: 09/26/2022] [Indexed: 06/08/2023]
Abstract
Phytohormones are major signaling components that contribute to nearly all aspects of plant life. They constitute an interconnected communication network to fine-tune growth and development in response to the ever-changing environment. To this end, they have to coordinate with other signaling components, such as reactive oxygen species and calcium signals. On the one hand, the two endosymbiotic organelles, plastids and mitochondria, control various aspects of phytohormone signaling and harbor important steps of hormone precursor biosynthesis. On the other hand, phytohormones have feedback actions on organellar functions. In addition, organelles and phytohormones often act in parallel in a coordinated matter to regulate cellular functions. Therefore, linking organelle functions with increasing knowledge of phytohormone biosynthesis, perception, and signaling will reveal new aspects of plant stress tolerance. In this review, we highlight recent work on organelle-phytohormone interactions focusing on the major stress-related hormones abscisic acid, jasmonates, salicylic acid, and ethylene.
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Pei H, Teng W, Gao L, Gao H, Ren X, Liu Y, Jia J, Tong Y, Wang Y, Lu Z. Low-affinity SPL binding sites contribute to subgenome expression divergence in allohexaploid wheat. SCIENCE CHINA LIFE SCIENCES 2022; 66:819-834. [PMID: 36417050 DOI: 10.1007/s11427-022-2202-3] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Received: 06/02/2022] [Accepted: 09/22/2022] [Indexed: 11/24/2022]
Abstract
Expression divergence caused by genetic variation and crosstalks among subgenomes of the allohexaploid bread wheat (Triticum aestivum. L., BBAADD) is hypothesized to increase its adaptability and/or plasticity. However, the molecular basis of expression divergence remains unclear. Squamosa promoter-binding protein-like (SPL) transcription factors are critical for a wide array of biological processes. In this study, we constructed expression regulatory networks by combining DAP-seq for 40 SPLs, ATAC-seq, and RNA-seq. Our findings indicate that a group of low-affinity SPL binding regions (SBRs) were targeted by diverse SPLs and caused different sequence preferences around the core GTAC motif. The SBRs including the low-affinity ones are evolutionarily conserved, enriched GWAS signals related to important agricultural traits. However, those SBRs are highly diversified among the cis-regulatory regions (CREs) of syntenic genes, with less than 8% SBRs coexisting in triad genes, suggesting that CRE variations are critical for subgenome differentiations. Knocking out of TaSPL7A/B/D and TaSPL15A/B/D subfamily further proved that both high- and low-affinity SBRs played critical roles in the differential expression of genes regulating tiller number and spike sizes. Our results have provided baseline data for downstream networks of SPLs and wheat improvements and revealed that CRE variations are critical sources for subgenome divergence in the allohexaploid wheat.
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Serrano-Bueno G, de Los Reyes P, Chini A, Ferreras-Garrucho G, Sánchez de Medina-Hernández V, Boter M, Solano R, Valverde F. Regulation of floral senescence in Arabidopsis by coordinated action of CONSTANS and jasmonate signaling. MOLECULAR PLANT 2022; 15:1710-1724. [PMID: 36153646 DOI: 10.1016/j.molp.2022.09.017] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 05/24/2022] [Revised: 09/08/2022] [Accepted: 09/20/2022] [Indexed: 06/16/2023]
Abstract
In Arabidopsis, photoperiodic flowering is controlled by the regulatory hub gene CONSTANS (CO), whereas floral organ senescence is regulated by the jasmonates (JAs). Because these processes are chronologically ordered, it remains unknown whether there are common regulators of both processes. In this study, we discovered that CO protein accumulates in Arabidopsis flowers after floral induction, and it displays a diurnal pattern in floral organs different from that in the leaves. We observed that altered CO expression could affect flower senescence and abscission by interfering with JA response, as shown by petal-specific transcriptomic analysis as well as CO overexpression in JA synthesis and signaling mutants. We found that CO has a ZIM (ZINC-FINGER INFLORESCENCE MERISTEM) like domain that mediates its interaction with the JA response repressor JAZ3 (jasmonate ZIM-domain 3). Their interaction inhibits the repressor activity of JAZ3, resulting in activation of downstream transcription factors involved in promoting flower senescence. Furthermore, we showed that CO, JAZ3, and the E3 ubiquitin ligase COI1 (Coronatine Insensitive 1) could form a protein complex in planta, which promotes the degradation of both CO and JAZ3 in the presence of JAs. Taken together, our results indicate that CO, a key regulator of photoperiodic flowering, is also involved in promoting flower senescence and abscission by augmenting JA signaling and response. We propose that coordinated recruitment of photoperiodic and JA signaling pathways could be an efficient way for plants to chronologically order floral processes and ensure the success of offspring production.
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Affiliation(s)
- Gloria Serrano-Bueno
- Plant Development Group, Institute for Plant Biochemistry and Photosynthesis, CSIC-Universidad de Sevilla, 41092 Sevilla, Spain.
| | - Pedro de Los Reyes
- Plant Development Group, Institute for Plant Biochemistry and Photosynthesis, CSIC-Universidad de Sevilla, 41092 Sevilla, Spain
| | - Andrea Chini
- Department of Plant Molecular Genetics, Centro Nacional de Biotecnología, CSIC, 28049 Madrid, Spain
| | - Gabriel Ferreras-Garrucho
- Plant Development Group, Institute for Plant Biochemistry and Photosynthesis, CSIC-Universidad de Sevilla, 41092 Sevilla, Spain
| | | | - Marta Boter
- Department of Plant Molecular Genetics, Centro Nacional de Biotecnología, CSIC, 28049 Madrid, Spain
| | - Roberto Solano
- Department of Plant Molecular Genetics, Centro Nacional de Biotecnología, CSIC, 28049 Madrid, Spain
| | - Federico Valverde
- Plant Development Group, Institute for Plant Biochemistry and Photosynthesis, CSIC-Universidad de Sevilla, 41092 Sevilla, Spain.
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Ishimori M. Transcription Factor Binding Site Prediction: Finding the Point from Many Data. PLANT & CELL PHYSIOLOGY 2022; 63:1324-1325. [PMID: 36073809 DOI: 10.1093/pcp/pcac128] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 07/18/2022] [Revised: 08/23/2022] [Accepted: 09/08/2022] [Indexed: 06/15/2023]
Affiliation(s)
- Motoyuki Ishimori
- Department of Agricultural and Environmental Biology, Graduate School of Agricultural and Life Sciences, The University of Tokyo, 1-1-1 Yayoi, Bunkyo-ku, Tokyo, 113-8657 Japan
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50
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Jaramillo-Botero A, Colorado J, Quimbaya M, Rebolledo MC, Lorieux M, Ghneim-Herrera T, Arango CA, Tobón LE, Finke J, Rocha C, Muñoz F, Riascos JJ, Silva F, Chirinda N, Caccamo M, Vandepoele K, Goddard WA. The ÓMICAS alliance, an international research program on multi-omics for crop breeding optimization. FRONTIERS IN PLANT SCIENCE 2022; 13:992663. [PMID: 36311093 PMCID: PMC9614048 DOI: 10.3389/fpls.2022.992663] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 07/12/2022] [Accepted: 09/15/2022] [Indexed: 06/16/2023]
Abstract
The OMICAS alliance is part of the Colombian government's Scientific Ecosystem, established between 2017-2018 to promote world-class research, technological advancement and improved competency of higher education across the nation. Since the program's kick-off, OMICAS has focused on consolidating and validating a multi-scale, multi-institutional, multi-disciplinary strategy and infrastructure to advance discoveries in plant science and the development of new technological solutions for improving agricultural productivity and sustainability. The strategy and methods described in this article, involve the characterization of different crop models, using high-throughput, real-time phenotyping technologies as well as experimental tissue characterization at different levels of the omics hierarchy and under contrasting conditions, to elucidate epigenome-, genome-, proteome- and metabolome-phenome relationships. The massive data sets are used to derive in-silico models, methods and tools to discover complex underlying structure-function associations, which are then carried over to the production of new germplasm with improved agricultural traits. Here, we describe OMICAS' R&D trans-disciplinary multi-project architecture, explain the overall strategy and methods for crop-breeding, recent progress and results, and the overarching challenges that lay ahead in the field.
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Affiliation(s)
- Andres Jaramillo-Botero
- Chemistry and Chemical Engineering Division, California Institute of Technology, Pasadena, CA, United States
- Optimización Multiescala In-Silico de Cultivos Agrícolas Sostenibles (ÓMICAS) Alliance, Pontificia Universidad Javeriana, Cali, Colombia
| | - Julian Colorado
- Optimización Multiescala In-Silico de Cultivos Agrícolas Sostenibles (ÓMICAS) Alliance, Pontificia Universidad Javeriana, Cali, Colombia
- Facultad de Ingeniería, Departamento de Ingeniería Electrónica, Pontificia Universidad Javeriana, Bogotá, Colombia
| | - Mauricio Quimbaya
- Optimización Multiescala In-Silico de Cultivos Agrícolas Sostenibles (ÓMICAS) Alliance, Pontificia Universidad Javeriana, Cali, Colombia
- Facultad de Ingeniería y Ciencias, Departamento de Ciencias Naturales y Matemáticas, Pontificia Universidad Javeriana, Cali, Colombia
| | - Maria Camila Rebolledo
- Optimización Multiescala In-Silico de Cultivos Agrícolas Sostenibles (ÓMICAS) Alliance, Pontificia Universidad Javeriana, Cali, Colombia
- CIRAD, UMR AGAP, Montpellier, France
- AGAP, Univ Montpellier, CIRAD, INRA, Montpellier SupAgro, Montpellier, France
- International Center for Tropical Agriculture (CIAT), Cali, Colombia
| | - Mathias Lorieux
- Optimización Multiescala In-Silico de Cultivos Agrícolas Sostenibles (ÓMICAS) Alliance, Pontificia Universidad Javeriana, Cali, Colombia
- International Center for Tropical Agriculture (CIAT), Cali, Colombia
- DIADE, University of Montpellier, CIRAD, IRD, Montpellier, France
| | - Thaura Ghneim-Herrera
- Optimización Multiescala In-Silico de Cultivos Agrícolas Sostenibles (ÓMICAS) Alliance, Pontificia Universidad Javeriana, Cali, Colombia
- Facultad de Ciencias Naturales, Departamento de Ciencias Biológicas, Universidad Icesi, Cali, Colombia
| | - Carlos A. Arango
- Optimización Multiescala In-Silico de Cultivos Agrícolas Sostenibles (ÓMICAS) Alliance, Pontificia Universidad Javeriana, Cali, Colombia
- Facultad de Ciencias Naturales, Departamento de Ciencias Químicas, Universidad Icesi, Cali, Colombia
| | - Luis E. Tobón
- Optimización Multiescala In-Silico de Cultivos Agrícolas Sostenibles (ÓMICAS) Alliance, Pontificia Universidad Javeriana, Cali, Colombia
- Facultad de Ingeniería y Ciencias, Departamento de Electrónica y Ciencias de la Computación, Pontificia Universidad Javeriana, Cali, Colombia
| | - Jorge Finke
- Optimización Multiescala In-Silico de Cultivos Agrícolas Sostenibles (ÓMICAS) Alliance, Pontificia Universidad Javeriana, Cali, Colombia
- Facultad de Ingeniería y Ciencias, Departamento de Electrónica y Ciencias de la Computación, Pontificia Universidad Javeriana, Cali, Colombia
| | - Camilo Rocha
- Optimización Multiescala In-Silico de Cultivos Agrícolas Sostenibles (ÓMICAS) Alliance, Pontificia Universidad Javeriana, Cali, Colombia
- Facultad de Ingeniería y Ciencias, Departamento de Electrónica y Ciencias de la Computación, Pontificia Universidad Javeriana, Cali, Colombia
| | - Fernando Muñoz
- Optimización Multiescala In-Silico de Cultivos Agrícolas Sostenibles (ÓMICAS) Alliance, Pontificia Universidad Javeriana, Cali, Colombia
- Centro de Investigación de la Caña de Azúcar de Colombia, Centro de Investigación de la Caña de Azúcar (CENICAÑA), Cali, Colombia
| | - John J. Riascos
- Facultad de Ingeniería y Ciencias, Departamento de Electrónica y Ciencias de la Computación, Pontificia Universidad Javeriana, Cali, Colombia
- Vlaams Instituut voor Biotechnologie, Bioinformatics Systems Biology, Ghent University, Gent, Belgium
| | - Fernando Silva
- Optimización Multiescala In-Silico de Cultivos Agrícolas Sostenibles (ÓMICAS) Alliance, Pontificia Universidad Javeriana, Cali, Colombia
- Centro de Investigación de la Caña de Azúcar de Colombia, Centro de Investigación de la Caña de Azúcar (CENICAÑA), Cali, Colombia
| | - Ngonidzashe Chirinda
- Optimización Multiescala In-Silico de Cultivos Agrícolas Sostenibles (ÓMICAS) Alliance, Pontificia Universidad Javeriana, Cali, Colombia
- International Center for Tropical Agriculture (CIAT), Cali, Colombia
| | - Mario Caccamo
- National Institute of Agricultural Botanics (NIAB), Cambridge, United Kingdom
| | - Klaas Vandepoele
- Vlaams Instituut voor Biotechnologie, Bioinformatics Systems Biology, Ghent University, Gent, Belgium
| | - William A. Goddard
- Chemistry and Chemical Engineering Division, California Institute of Technology, Pasadena, CA, United States
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