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Yang J, Gao L, Zhang X, Zheng R, Liu X, Cui Y, Wang Z, Wang X. Identification and functional characterization of bidirectional gene pairs and their intergenic regions in cotton. BMC PLANT BIOLOGY 2024; 24:829. [PMID: 39232709 PMCID: PMC11373494 DOI: 10.1186/s12870-024-05548-w] [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: 12/27/2023] [Accepted: 08/26/2024] [Indexed: 09/06/2024]
Abstract
BACKGROUND In research to improve the quality of transgenic crops, it is often necessary to introduce multiple functionally related genes into recipient plants simultaneously to improve crop genetic traits effectively. Compared with unidirectional promoters, bidirectional promoters simultaneously regulate the expression of multiple genes and improve the efficiency of biotechnology. Therefore, in this study, bidirectional gene pairs were systematically analyzed in Gossypium hirsutum TM-1, and the structure, function and evolutionary relationships of the bidirectional genes were analyzed. The endogenous bidirectional promoters of cotton were mined, and their specific regulatory elements and biological functions were explored to provide useful promoter resources and a theoretical basis for cultivating new cotton germplasms with excellent fiber quality. RESULTS Using an improved search model, a total of 1,383 bidirectional transcript pairs were identified in the Gossypium hirsutum TM-1 genome, and their gene structure and functional annotations were systematically analyzed. Thirty bidirectional intergenic sequences were randomly screened for promoter activity analysis via a transient expression system, and 25 intergenic sequences were found to have bidirectional promoter activity. Comparative analysis of the bidirectional gene profiles of the four cotton subspecies revealed that these subspecies presented abundant bidirectional gene pairs with high homology and that the bidirectional genes in the cotton subspecies were more similar in terms of their molecular functions, cellular components and biological processes. In addition, parallel analysis of bidirectional genes in dicotyledons and monocotyledons revealed that abundant bidirectional gene pairs exist in different species. Although the total number of orthologous bidirectional genes was similar, there was a significant difference in the number of orthologous bidirectional gene pairs between dicotyledons and monocotyledons. This evolutionary analysis of the function and structure of homologous bidirectional gene pairs in different varieties and different subspecies of the same species revealed potential pathways by which these gene pairs originated, which may be necessary for the evolution of a new species. CONCLUSION In this study, many bidirectional gene pairs in Gossypium hirsutum TM-1 were identified using computer programming, and systematic analysis was conducted to explore their functions and evolutionary relationships. In addition, the promoter activity of the bidirectional intergenic sequences was verified. The combination of computer programming screening, experimental validation and other methods is expected to provide preferred bidirectional promoters for transgenic breeding work via multigene cotransformation methods, and this information is valuable for genetic engineering research and applications.
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Affiliation(s)
- Jiangtao Yang
- Biotechnology Research Institute, Chinese Academy of Agricultural Sciences, Key Laboratory on Molecular Safety Assessment of Agri-GMO, MARA, Beijing, 100081, China
| | - Lihua Gao
- Biotechnology Research Institute, Chinese Academy of Agricultural Sciences, Key Laboratory on Molecular Safety Assessment of Agri-GMO, MARA, Beijing, 100081, China
| | - Xiaochun Zhang
- Biotechnology Research Institute, Chinese Academy of Agricultural Sciences, Key Laboratory on Molecular Safety Assessment of Agri-GMO, MARA, Beijing, 100081, China
| | - Ran Zheng
- Biotechnology Research Institute, Chinese Academy of Agricultural Sciences, Key Laboratory on Molecular Safety Assessment of Agri-GMO, MARA, Beijing, 100081, China
| | - Xuan Liu
- Biotechnology Research Institute, Chinese Academy of Agricultural Sciences, Key Laboratory on Molecular Safety Assessment of Agri-GMO, MARA, Beijing, 100081, China
| | - Yuxin Cui
- Biotechnology Research Institute, Chinese Academy of Agricultural Sciences, Key Laboratory on Molecular Safety Assessment of Agri-GMO, MARA, Beijing, 100081, China
| | - Zhixing Wang
- Biotechnology Research Institute, Chinese Academy of Agricultural Sciences, Key Laboratory on Molecular Safety Assessment of Agri-GMO, MARA, Beijing, 100081, China.
| | - Xujing Wang
- Biotechnology Research Institute, Chinese Academy of Agricultural Sciences, Key Laboratory on Molecular Safety Assessment of Agri-GMO, MARA, Beijing, 100081, China.
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Sinzger-D'Angelo M, Hanst M, Reinhardt F, Koeppl H. Effects of mRNA conformational switching on translational noise in gene circuits. J Chem Phys 2024; 160:134108. [PMID: 38573847 DOI: 10.1063/5.0186927] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/09/2023] [Accepted: 03/08/2024] [Indexed: 04/06/2024] Open
Abstract
Intragenic translational heterogeneity describes the variation in translation at the level of transcripts for an individual gene. A factor that contributes to this source of variation is the mRNA structure. Both the composition of the thermodynamic ensemble, i.e., the stationary distribution of mRNA structures, and the switching dynamics between those play a role. The effect of the switching dynamics on intragenic translational heterogeneity remains poorly understood. We present a stochastic translation model that accounts for mRNA structure switching and is derived from a Markov model via approximate stochastic filtering. We assess the approximation on various timescales and provide a method to quantify how mRNA structure dynamics contributes to translational heterogeneity. With our approach, we allow quantitative information on mRNA switching from biophysical experiments or coarse-grain molecular dynamics simulations of mRNA structures to be included in gene regulatory chemical reaction network models without an increase in the number of species. Thereby, our model bridges a gap between mRNA structure kinetics and gene expression models, which we hope will further improve our understanding of gene regulatory networks and facilitate genetic circuit design.
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Affiliation(s)
| | - Maleen Hanst
- Centre for Synthetic Biology, Technische Universität Darmstadt, Darmstadt, Germany
| | - Felix Reinhardt
- Centre for Synthetic Biology, Technische Universität Darmstadt, Darmstadt, Germany
| | - Heinz Koeppl
- Centre for Synthetic Biology, Technische Universität Darmstadt, Darmstadt, Germany
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Sami A, Haider MZ, Shafiq M, Sadiq S, Ahmad F. Genome-wide identification and in-silico expression analysis of CCO gene family in sunflower (Helianthus annnus) against abiotic stress. PLANT MOLECULAR BIOLOGY 2024; 114:34. [PMID: 38568355 PMCID: PMC10991017 DOI: 10.1007/s11103-024-01433-0] [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: 09/11/2023] [Accepted: 02/21/2024] [Indexed: 04/05/2024]
Abstract
Carotenoid cleavage oxygenases (CCOs) enzymes play an important role in plant growth and development by producing a wide array of apocarotenoids and their derivatives. These compounds are vital for colouring flowers and fruits and synthesizing plant hormones such as abscisic acid and strigolactones. Despite their importance, the gene family responsible for CCO enzymes in sunflowers has not been identified. In this study, we identify the CCO genes of the sunflower plant to fill this knowledge gap. Phylogenetic and synteny analysis indicated that the Helianthus annnus CCO (HaCCO) genes were conserved in different plant species and they could be divided into three subgroups based on their conserved domains. Analysis using MEME tool and multiple sequence alignment identified conserved motifs in the HaCCO gene sequence. Cis-regulatory elements (CREs) analysis of the HaCCO genes indicated the presence of various responsive elements related to plant hormones, development, and responses to both biotic and abiotic stresses. This implies that these genes may respond to plant hormones, developmental cues, and drought stress, offering potential applications in the development of more resistant crops. Genes belonging to the 9-cis-epoxy carotenoid dioxygenases (NCED) subgroups predominantly exhibited chloroplast localization, whereas the genes found in other groups are primarily localized in the cytoplasm. These 21 identified HaCCOs were regulated by 60 miRNAs, indicating the crucial role of microRNAs in gene regulation in sunflowers. Gene expression analysis under drought stress revealed significant up-regulation of HaNCED16 and HaNCED19, genes that are pivotal in ABA hormone biosynthesis. During organ-specific gene expression analysis, HaCCD12 and HaCCD20 genes exhibit higher activity in leaves, indicating a potential role in leaf pigmentation. This study provides a foundation for future research on the regulation and functions of the CCO gene family in sunflower and beyond. There is potential for developing molecular markers that could be employed in breeding programs to create new sunflower lines resistant to biotic and abiotic stresses.
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Affiliation(s)
- Adnan Sami
- Department of Plant Breeding and Genetics, Faculty of Agricultural Sciences, University of the Punjab, Lahore, P.O BOX. 54590, Pakistan
| | - Muhammad Zeeshan Haider
- Department of Plant Breeding and Genetics, Faculty of Agricultural Sciences, University of the Punjab, Lahore, P.O BOX. 54590, Pakistan
| | - Muhammad Shafiq
- Department of Horticulture, Faculty of Agricultural Sciences, University of the Punjab, Lahore, P.O BOX. 54590, Pakistan
| | - Saleh Sadiq
- Institute of Biochemistry, Biotechnology, and Bioinformatics (IBBB), The Islamia University of Bahawalpur, Bahawalpur, Pakistan
| | - Farooq Ahmad
- Sustainable Forest Management Research Institute (iuFOR), University of Valladolid and INIA, Avenida de Madrid, Palencia, 34004, Spain.
- Department of Vegetable Production and Forest Resources, University of Valladolid, Avda. de Madrid, Palencia, 34004, Spain.
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Jones DM, Hepworth J, Wells R, Pullen N, Trick M, Morris RJ. A transcriptomic time-series reveals differing trajectories during pre-floral development in the apex and leaf in winter and spring varieties of Brassica napus. Sci Rep 2024; 14:3538. [PMID: 38347020 PMCID: PMC10861513 DOI: 10.1038/s41598-024-53526-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: 07/07/2023] [Accepted: 01/31/2024] [Indexed: 02/15/2024] Open
Abstract
Oilseed rape (Brassica napus) is an important global oil crop, with spring and winter varieties grown commercially. To understand the transcriptomic differences between these varieties, we collected transcriptomes from apex and leaf tissue from a spring variety, Westar, and a winter variety, Tapidor, before, during, and after vernalisation treatment, until the plants flowered. Large transcriptomic differences were noted in both varieties during the vernalisation treatment because of temperature and day length changes. Transcriptomic alignment revealed that the apex transcriptome reflects developmental state, whereas the leaf transcriptome is more closely aligned to the age of the plant. Similar numbers of copies of genes were expressed in both varieties during the time series, although key flowering time genes exhibited expression pattern differences. BnaFLC copies on A2 and A10 are the best candidates for the increased vernalisation requirement of Tapidor. Other BnaFLC copies show tissue-dependent reactivation of expression post-cold, with these dynamics suggesting some copies have retained or acquired a perennial nature. BnaSOC1 genes, also related to the vernalisation pathway, have expression profiles which suggest tissue subfunctionalisation. This understanding may help to breed varieties with more consistent or robust vernalisation responses, of special importance due to the milder winters resulting from climate change.
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Affiliation(s)
- D Marc Jones
- Crop Genetics, John Innes Centre, Norwich Research Park, Norwich, NR4 7UH, UK.
- Computational and Systems Biology, John Innes Centre, Norwich Research Park, Norwich, NR4 7UH, UK.
- Synthace, The WestWorks, 195 Wood Lane, 4th Floor, London, W12 7FQ, UK.
| | - Jo Hepworth
- Crop Genetics, John Innes Centre, Norwich Research Park, Norwich, NR4 7UH, UK
- Department of Biosciences, Durham University, Stockton Road, Durham, DH1 3LE, UK
| | - Rachel Wells
- Crop Genetics, John Innes Centre, Norwich Research Park, Norwich, NR4 7UH, UK
| | - Nick Pullen
- Crop Genetics, John Innes Centre, Norwich Research Park, Norwich, NR4 7UH, UK
- Computational and Systems Biology, John Innes Centre, Norwich Research Park, Norwich, NR4 7UH, UK
| | - Martin Trick
- Computational and Systems Biology, John Innes Centre, Norwich Research Park, Norwich, NR4 7UH, UK
| | - Richard J Morris
- Crop Genetics, John Innes Centre, Norwich Research Park, Norwich, NR4 7UH, UK
- Computational and Systems Biology, John Innes Centre, Norwich Research Park, Norwich, NR4 7UH, UK
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Bobadilla LK, Tranel PJ. Predicting the unpredictable: the regulatory nature and promiscuity of herbicide cross resistance. PEST MANAGEMENT SCIENCE 2024; 80:235-244. [PMID: 37595061 DOI: 10.1002/ps.7728] [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: 07/14/2023] [Revised: 08/14/2023] [Accepted: 08/16/2023] [Indexed: 08/20/2023]
Abstract
The emergence of herbicide-resistant weeds is a significant threat to modern agriculture. Cross resistance, a phenomenon where resistance to one herbicide confers resistance to another, is a particular concern owing to its unpredictability. Nontarget-site (NTS) cross resistance is especially challenging to predict, as it arises from genes that encode enzymes that do not directly involve the herbicide target site and can affect multiple herbicides. Recent advancements in genomic and structural biology techniques could provide new venues for predicting NTS resistance in weed species. In this review, we present an overview of the latest approaches that could be used. We discuss the use of genomic and epigenomics techniques such as ATAC-seq and DAP-seq to identify transcription factors and cis-regulatory elements associated with resistance traits. Enzyme/protein structure prediction and docking analysis are discussed as an initial step for predicting herbicide binding affinities with key enzymes to identify candidates for subsequent in vitro validation. We also provide example analyses that can be deployed toward elucidating cross resistance and its regulatory patterns. Ultimately, our review provides important insights into the latest scientific advancements and potential directions for predicting and managing herbicide cross resistance in weeds. © 2023 The Authors. Pest Management Science published by John Wiley & Sons Ltd on behalf of Society of Chemical Industry.
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Affiliation(s)
- Lucas K Bobadilla
- Department of Crop Sciences, University of Illinois, Urbana, IL, USA
| | - Patrick J Tranel
- Department of Crop Sciences, University of Illinois, Urbana, IL, USA
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Qin X, Li Y, Li C, Li X, Wu Y, Wu Q, Wen H, Jiang D, Liu S, Nan W, Liang Y, Zhang H. A Rapid and Simplified Method to Isolate Specific Regulators Based on Biotin-Avidin Binding Affinities in Crops. JOURNAL OF AGRICULTURAL AND FOOD CHEMISTRY 2024; 72:883-893. [PMID: 38118073 DOI: 10.1021/acs.jafc.3c05638] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 12/22/2023]
Abstract
Transcription factors (TFs) are indispensable components of transcriptional regulatory pathways involved in crop growth and development. Herein, we developed a new method for the identification of upstream TFs specific to genes in crops based on the binding affinities of biotin and avidin. First, we constructed and verified the new biotin and avidin system (BAS) by a coprecipitation assay. Subsequently, the feasibility of DNA-based BAS (DBAS) was further proved by in vivo and in vitro assays. Furthermore, we cloned the promoter of rice OsNRT1.1B and the possible regulators were screened and identified. Additionally, partial candidates were validated by the electrophoresis mobility shift assay (EMSA), yeast one-hybrid, and luciferase activity assays. Remarkably, the results showed that the candidates PIP3 and PIP19 both responded to nitrate immediately and overexpression of PIP3 caused retard growth, which indicates that the candidates are functional and the new DBAS method is useful to isolate regulators in crops.
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Affiliation(s)
- Xiaojian Qin
- College of Life Sciences, Chongqing Normal University, Chongqing 401331, China
- Key Laboratory of Molecular Biology of Plants Environmental Adaptations, Chongqing Normal University, Chongqing 401331, China
| | - Yuntong Li
- College of Life Sciences, Chongqing Normal University, Chongqing 401331, China
| | - Cuiping Li
- College of Life Sciences, Chongqing Normal University, Chongqing 401331, China
| | - Xiaowei Li
- College of Life Sciences, Chongqing Normal University, Chongqing 401331, China
| | - Yuanyuan Wu
- College of Life Sciences, Chongqing Normal University, Chongqing 401331, China
| | - Qian Wu
- College of Life Sciences, Chongqing Normal University, Chongqing 401331, China
| | - Huan Wen
- College of Life Sciences, Chongqing Normal University, Chongqing 401331, China
| | - Dan Jiang
- College of Life Sciences, Chongqing Normal University, Chongqing 401331, China
| | - Shifeng Liu
- College of Life Sciences, Chongqing Normal University, Chongqing 401331, China
| | - Wenbin Nan
- College of Life Sciences, Chongqing Normal University, Chongqing 401331, China
- Key Laboratory of Molecular Biology of Plants Environmental Adaptations, Chongqing Normal University, Chongqing 401331, China
| | - Yongshu Liang
- College of Life Sciences, Chongqing Normal University, Chongqing 401331, China
- Key Laboratory of Molecular Biology of Plants Environmental Adaptations, Chongqing Normal University, Chongqing 401331, China
| | - Hanma Zhang
- College of Life Sciences, Chongqing Normal University, Chongqing 401331, China
- Key Laboratory of Molecular Biology of Plants Environmental Adaptations, Chongqing Normal University, Chongqing 401331, China
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Manosalva Pérez N, Ferrari C, Engelhorn J, Depuydt T, Nelissen H, Hartwig T, Vandepoele K. MINI-AC: inference of plant gene regulatory networks using bulk or single-cell accessible chromatin profiles. THE PLANT JOURNAL : FOR CELL AND MOLECULAR BIOLOGY 2024; 117:280-301. [PMID: 37788349 DOI: 10.1111/tpj.16483] [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: 05/23/2023] [Revised: 09/13/2023] [Accepted: 09/16/2023] [Indexed: 10/05/2023]
Abstract
Gene regulatory networks (GRNs) represent the interactions between transcription factors (TF) and their target genes. Plant GRNs control transcriptional programs involved in growth, development, and stress responses, ultimately affecting diverse agricultural traits. While recent developments in accessible chromatin (AC) profiling technologies make it possible to identify context-specific regulatory DNA, learning the underlying GRNs remains a major challenge. We developed MINI-AC (Motif-Informed Network Inference based on Accessible Chromatin), a method that combines AC data from bulk or single-cell experiments with TF binding site (TFBS) information to learn GRNs in plants. We benchmarked MINI-AC using bulk AC datasets from different Arabidopsis thaliana tissues and showed that it outperforms other methods to identify correct TFBS. In maize, a crop with a complex genome and abundant distal AC regions, MINI-AC successfully inferred leaf GRNs with experimentally confirmed, both proximal and distal, TF-target gene interactions. Furthermore, we showed that both AC regions and footprints are valid alternatives to infer AC-based GRNs with MINI-AC. Finally, we combined MINI-AC predictions from bulk and single-cell AC datasets to identify general and cell-type specific maize leaf regulators. Focusing on C4 metabolism, we identified diverse regulatory interactions in specialized cell types for this photosynthetic pathway. MINI-AC represents a powerful tool for inferring accurate AC-derived GRNs in plants and identifying known and novel candidate regulators, improving our understanding of gene regulation in plants.
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Affiliation(s)
- Nicolás Manosalva Pérez
- Department of Plant Biotechnology and Bioinformatics, Ghent University, 9052, Ghent, Belgium
- Center for Plant Systems Biology, VIB, 9052, Ghent, Belgium
| | - Camilla Ferrari
- Department of Plant Biotechnology and Bioinformatics, Ghent University, 9052, Ghent, Belgium
- Center for Plant Systems Biology, VIB, 9052, Ghent, Belgium
| | - Julia Engelhorn
- Molecular Physiology Department, Heinrich-Heine University, 40225, Düsseldorf, Germany
- Max Planck Institute for Plant Breeding Research, 50829, Cologne, Germany
| | - Thomas Depuydt
- Department of Plant Biotechnology and Bioinformatics, Ghent University, 9052, Ghent, Belgium
- Center for Plant Systems Biology, VIB, 9052, Ghent, Belgium
| | - Hilde Nelissen
- Department of Plant Biotechnology and Bioinformatics, Ghent University, 9052, Ghent, Belgium
- Center for Plant Systems Biology, VIB, 9052, Ghent, Belgium
| | - Thomas Hartwig
- Molecular Physiology Department, Heinrich-Heine University, 40225, Düsseldorf, Germany
- Max Planck Institute for Plant Breeding Research, 50829, Cologne, Germany
- Cluster of Excellence on Plant Sciences, Düsseldorf, Germany
| | - Klaas Vandepoele
- Department of Plant Biotechnology and Bioinformatics, Ghent University, 9052, Ghent, Belgium
- Center for Plant Systems Biology, VIB, 9052, Ghent, Belgium
- Bioinformatics Institute Ghent, Ghent University, 9052, Ghent, Belgium
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Paull RE, Ksouri N, Kantar M, Zerpa‐Catanho D, Chen NJ, Uruu G, Yue J, Guo S, Zheng Y, Wai CMJ, Ming R. Differential gene expression during floral transition in pineapple. PLANT DIRECT 2023; 7:e541. [PMID: 38028646 PMCID: PMC10644199 DOI: 10.1002/pld3.541] [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: 12/18/2022] [Revised: 09/20/2023] [Accepted: 09/26/2023] [Indexed: 12/01/2023]
Abstract
Pineapple (Ananas comosus var. comosus) and ornamental bromeliads are commercially induced to flower by treatment with ethylene or its analogs. The apex is transformed from a vegetative to a floral meristem and shows morphological changes in 8 to 10 days, with flowers developing 8 to 10 weeks later. During eight sampling stages ranging from 6 h to 8 days after treatment, 7961 genes were found to exhibit differential expression (DE) after the application of ethylene. In the first 3 days after treatment, there was little change in ethylene synthesis or in the early stages of the ethylene response. Subsequently, three ethylene response transcription factors (ERTF) were up-regulated and the potential gene targets were predicted to be the positive flowering regulator CONSTANS-like 3 (CO), a WUSCHEL gene, two APETALA1/FRUITFULL (AP1/FUL) genes, an epidermal patterning gene, and a jasmonic acid synthesis gene. We confirm that pineapple has lost the flowering repressor FLOWERING LOCUS C. At the initial stages, the SUPPRESSOR OF OVEREXPRESSION OF CONSTANS 1 (SOC1) was not significantly involved in this transition. Another WUSCHEL gene and a PHD homeobox transcription factor, though not apparent direct targets of ERTF, were up-regulated within a day of treatment, their predicted targets being the up-regulated CO, auxin response factors, SQUAMOSA, and histone H3 genes with suppression of abscisic acid response genes. The FLOWERING LOCUS T (FT), TERMINAL FLOWER (TFL), AGAMOUS-like APETELAR (AP2), and SEPETALA (SEP) increased rapidly within 2 to 3 days after ethylene treatment. Two FT genes were up-regulated at the apex and not at the leaf bases after treatment, suggesting that transport did not occur. These results indicated that the ethylene response in pineapple and possibly most bromeliads act directly to promote the vegetative to flower transition via APETALA1/FRUITFULL (AP1/FUL) and its interaction with SPL, FT, TFL, SEP, and AP2. A model based on AP2/ERTF DE and predicted DE target genes was developed to give focus to future research. The identified candidate genes are potential targets for genetic manipulation to determine their molecular role in flower transition.
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Affiliation(s)
- Robert E. Paull
- Tropical Plant & Soil SciencesUniversity of Hawaii at ManoaHonoluluHawaiiUSA
| | - Najla Ksouri
- Laboratory of Genomics, Genetics and Breeding of Fruits and Grapevine, Experimental Aula Dei‐CSICZaragozaSpain
| | - Michael Kantar
- Tropical Plant & Soil SciencesUniversity of Hawaii at ManoaHonoluluHawaiiUSA
| | | | - Nancy Jung Chen
- Tropical Plant & Soil SciencesUniversity of Hawaii at ManoaHonoluluHawaiiUSA
| | - Gail Uruu
- Tropical Plant & Soil SciencesUniversity of Hawaii at ManoaHonoluluHawaiiUSA
| | - Jingjing Yue
- Center for Genomics and BiotechnologyFujian Agriculture and Forestry UniversityFuzhouChina
| | - Shiyong Guo
- State Key Laboratory of Primate Biomedical Research, Institute of Primate Translational MedicineKunming University of Science and TechnologyKunmingYunnanChina
| | - Yun Zheng
- State Key Laboratory of Primate Biomedical Research, Institute of Primate Translational MedicineKunming University of Science and TechnologyKunmingYunnanChina
| | | | - Ray Ming
- Department of Plant BiologyUniversity of Illinois at Urbana‐ChampaignUrbanaIllinoisUSA
- Center for Genomics and BiotechnologyFujian Agriculture and Forestry UniversityFuzhouChina
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Briones-Moreno A, Hernández-García J, Vargas-Chávez C, Blanco-Touriñán N, Phokas A, Úrbez C, Cerdán PD, Coates JC, Alabadí D, Blázquez MA. DELLA functions evolved by rewiring of associated transcriptional networks. NATURE PLANTS 2023; 9:535-543. [PMID: 36914897 DOI: 10.1038/s41477-023-01372-6] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 07/23/2022] [Accepted: 02/13/2023] [Indexed: 06/18/2023]
Abstract
DELLA proteins are land-plant specific transcriptional regulators that transduce environmental information to multiple processes throughout a plant's life1-3. The molecular basis for this critical function in angiosperms has been linked to the regulation of DELLA stability by gibberellins and to the capacity of DELLA proteins to interact with hundreds of transcription factors4,5. Although bryophyte orthologues can partially fulfil functions attributed to angiosperm DELLA6,7, it is not clear whether the capacity to establish interaction networks is an ancestral property of DELLA proteins or is associated with their role in gibberellin signalling8-10. Here we show that representative DELLAs from the main plant lineages display a conserved ability to interact with multiple transcription factors. We propose that promiscuity was encoded in the ancestral DELLA protein, and that this property has been largely maintained, whereas the lineage-dependent diversification of DELLA-dependent functions mostly reflects the functional evolution of their interacting partners.
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Affiliation(s)
- Asier Briones-Moreno
- Instituto de Biología Molecular y Celular de Plantas (CSIC-U Politècnica de València), Valencia, Spain
| | - Jorge Hernández-García
- Instituto de Biología Molecular y Celular de Plantas (CSIC-U Politècnica de València), Valencia, Spain
- Laboratory of Biochemistry, Wageningen University, Wageningen, the Netherlands
| | | | - Noel Blanco-Touriñán
- Instituto de Biología Molecular y Celular de Plantas (CSIC-U Politècnica de València), Valencia, Spain
| | | | - Cristina Úrbez
- Instituto de Biología Molecular y Celular de Plantas (CSIC-U Politècnica de València), Valencia, Spain
| | - Pablo D Cerdán
- Fundación Instituto Leloir, Consejo Nacional de Investigaciones Científicas y Técnicas, Buenos Aires, Argentina
| | - Juliet C Coates
- School of Biosciences, University of Birmingham, Birmingham, UK
| | - David Alabadí
- Instituto de Biología Molecular y Celular de Plantas (CSIC-U Politècnica de València), Valencia, Spain
| | - Miguel A Blázquez
- Instituto de Biología Molecular y Celular de Plantas (CSIC-U Politècnica de València), Valencia, Spain.
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Pietsch J, Deneer A, Fleck C, Hülskamp M. Comparative expression analysis in three Brassicaceae species revealed compensatory changes of the underlying gene regulatory network. FRONTIERS IN PLANT SCIENCE 2023; 13:1086004. [PMID: 36684738 PMCID: PMC9845631 DOI: 10.3389/fpls.2022.1086004] [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: 10/31/2022] [Accepted: 12/02/2022] [Indexed: 06/17/2023]
Abstract
Trichomes are regularly distributed on the leaves of Arabidopsis thaliana. The gene regulatory network underlying trichome patterning involves more than 15 genes. However, it is possible to explain patterning with only five components. This raises the questions about the function of the additional components and the identification of the core network. In this study, we compare the relative expression of all patterning genes in A. thaliana, A. alpina and C. hirsuta by qPCR analysis and use mathematical modelling to determine the relative importance of patterning genes. As the involved proteins exhibit evolutionary conserved differential complex formation, we reasoned that the genes belonging to the core network should exhibit similar expression ratios in different species. However, we find several striking differences of the relative expression levels. Our analysis of how the network can cope with such differences revealed relevant parameters that we use to predict the relevant molecular adaptations in the three species.
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Affiliation(s)
- Jessica Pietsch
- Botanical Institute, Biocenter, Cologne University, Cologne, Germany
| | - Anna Deneer
- Biometris, Department of Mathematical and Statistical Methods, Wageningen University, Wageningen, Netherlands
| | - Christian Fleck
- Spatial Systems Biology Group, Center for Data Analysis and Modeling, University of Freiburg, Freiburg, Germany
| | - Martin Hülskamp
- Botanical Institute, Biocenter, Cologne University, Cologne, Germany
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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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12
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Lan Y, Zhao X, Chen D. The ChIP-Hub Resource: Toward plantEncode. Methods Mol Biol 2023; 2698:221-231. [PMID: 37682478 DOI: 10.1007/978-1-0716-3354-0_14] [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
Recent advances in sequencing technologies lead to the generation of an enormous amount of regulome and epigenome data in a variety of plant species. However, a comprehensive standardized resource is so far not available. In this chapter, we present ChIP-Hub, an integrative platform that has been developed based on the ENCODE standards by collecting and reanalyzing regulatory genomic datasets from 41 plant species. The ChIP-hub website is introduced in this chapter, including information on detailed steps of searching, data download, and online analyses, which facilitates users to explore ChIP-Hub. We also provide a cross-species comparison of chromatin accessibility information that gives a thorough view of evolutionary regulatory networks in plants.
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Affiliation(s)
- Yangming Lan
- State Key Laboratory of Pharmaceutical Biotechnology, School of Life Sciences, Nanjing University, Nanjing, China
| | - Xue Zhao
- State Key Laboratory of Pharmaceutical Biotechnology, School of Life Sciences, Nanjing University, Nanjing, China
| | - Dijun Chen
- State Key Laboratory of Pharmaceutical Biotechnology, School of Life Sciences, Nanjing University, Nanjing, China.
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13
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Gavgani HN, Grotewold E, Gray J. Methodology for Constructing a Knowledgebase for Plant Gene Regulation Information. Methods Mol Biol 2023; 2698:277-300. [PMID: 37682481 DOI: 10.1007/978-1-0716-3354-0_17] [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
The amount of biological data is growing at a rapid pace as many high-throughput omics technologies and data pipelines are developed. This is resulting in the growth of databases for DNA and protein sequences, gene expression, protein accumulation, structural, and localization information. The diversity and multi-omics nature of such bioinformatic data requires well-designed databases for flexible organization and presentation. Besides general-purpose online bioinformatic databases, users need narrowly focused online databases to quickly access a meaningful collection of related data for their research. Here, we describe the methodology used to implement a plant gene regulatory knowledgebase, with data, query, and tool features, as well as the ability to expand to accommodate future datasets. We exemplify this methodology for the GRASSIUS knowledgebase, but it is applicable to developing and updating similar plant gene regulatory knowledgebases. GRASSIUS organizes and presents gene regulatory data from grass species with a central focus on maize (Zea mays). The main class of data presented include not only the families of transcription factors (TFs) and co-regulators (CRs) but also protein-DNA interaction data, where available.
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Affiliation(s)
- Hadi Nayebi Gavgani
- Department of Biochemistry and Molecular Biology, Michigan State University, East Lansing, MI, USA
- Dandelions Therapeutics Inc., San Francisco, CA, USA
| | - Erich Grotewold
- Department of Biochemistry and Molecular Biology, Michigan State University, East Lansing, MI, USA
| | - John Gray
- Department of Biological Sciences, University of Toledo, Toledo, OH, USA.
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14
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Li B, Gschwend AR, Hovick SM, Gutek A, McHale L, Harrison SK, Regnier EE. Evolution of weedy giant ragweed ( Ambrosia trifida): Multiple origins and gene expression variability facilitates weediness. Ecol Evol 2022; 12:e9590. [PMID: 36514541 PMCID: PMC9731915 DOI: 10.1002/ece3.9590] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/04/2022] [Accepted: 11/16/2022] [Indexed: 12/13/2022] Open
Abstract
Agricultural weeds may originate from wild populations, but the origination patterns and genetics underlying this transition remain largely unknown. Analysis of weedy-wild paired populations from independent locations may provide evidence to identify key genetic variation contributing to this adaptive shift. We performed genetic variation and expression analyses on transcriptome data from 67 giant ragweed samples collected from different locations in Ohio, Iowa, and Minnesota and found geographically separated weedy populations likely originated independently from their adjacent wild populations, but subsequent spreading of weedy populations also occurred locally. By using eight closely related weedy-wild paired populations, we identified thousands of unique transcripts in weedy populations that reflect shared or specific functions corresponding, respectively, to both convergently evolved and population-specific weediness processes. In addition, differential expression of specific groups of genes was detected between weedy and wild giant ragweed populations using gene expression diversity and gene co-expression network analyses. Our study suggests an integrated route of weedy giant ragweed origination, consisting of independent origination combined with the subsequent spreading of certain weedy populations, and provides several lines of evidence to support the hypothesis that gene expression variability plays a key role in the evolution of weedy species.
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Affiliation(s)
- Bo Li
- Department of Horticulture and Crop SciencesThe Ohio State UniversityColumbusOhioUSA
| | - Andrea R. Gschwend
- Department of Horticulture and Crop SciencesThe Ohio State UniversityColumbusOhioUSA
| | - Stephen M. Hovick
- Department of Evolution, Ecology and Organismal BiologyThe Ohio State UniversityColumbusOhioUSA
| | - Amanda Gutek
- Department of Horticulture and Crop SciencesThe Ohio State UniversityColumbusOhioUSA
| | - Leah McHale
- Department of Horticulture and Crop SciencesThe Ohio State UniversityColumbusOhioUSA
| | - S. Kent Harrison
- Department of Horticulture and Crop SciencesThe Ohio State UniversityColumbusOhioUSA
| | - Emilie E. Regnier
- Department of Horticulture and Crop SciencesThe Ohio State UniversityColumbusOhioUSA
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15
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Curci PL, Zhang J, Mähler N, Seyfferth C, Mannapperuma C, Diels T, Van Hautegem T, Jonsen D, Street N, Hvidsten TR, Hertzberg M, Nilsson O, Inzé D, Nelissen H, Vandepoele K. Identification of growth regulators using cross-species network analysis in plants. PLANT PHYSIOLOGY 2022; 190:2350-2365. [PMID: 35984294 PMCID: PMC9706488 DOI: 10.1093/plphys/kiac374] [Citation(s) in RCA: 6] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 05/24/2022] [Accepted: 07/05/2022] [Indexed: 05/11/2023]
Abstract
With the need to increase plant productivity, one of the challenges plant scientists are facing is to identify genes that play a role in beneficial plant traits. Moreover, even when such genes are found, it is generally not trivial to transfer this knowledge about gene function across species to identify functional orthologs. Here, we focused on the leaf to study plant growth. First, we built leaf growth transcriptional networks in Arabidopsis (Arabidopsis thaliana), maize (Zea mays), and aspen (Populus tremula). Next, known growth regulators, here defined as genes that when mutated or ectopically expressed alter plant growth, together with cross-species conserved networks, were used as guides to predict novel Arabidopsis growth regulators. Using an in-depth literature screening, 34 out of 100 top predicted growth regulators were confirmed to affect leaf phenotype when mutated or overexpressed and thus represent novel potential growth regulators. Globally, these growth regulators were involved in cell cycle, plant defense responses, gibberellin, auxin, and brassinosteroid signaling. Phenotypic characterization of loss-of-function lines confirmed two predicted growth regulators to be involved in leaf growth (NPF6.4 and LATE MERISTEM IDENTITY2). In conclusion, the presented network approach offers an integrative cross-species strategy to identify genes involved in plant growth and development.
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Affiliation(s)
- Pasquale Luca Curci
- Department of Plant Biotechnology and Bioinformatics, Ghent University, Technologiepark 71, 9052 Ghent, Belgium
- VIB Center for Plant Systems Biology, Technologiepark 71, 9052 Ghent, Belgium
- Institute of Biosciences and Bioresources, National Research Council (CNR), Via Amendola 165/A, 70126 Bari, Italy
| | - Jie Zhang
- Department of Plant Biotechnology and Bioinformatics, Ghent University, Technologiepark 71, 9052 Ghent, Belgium
- VIB Center for Plant Systems Biology, Technologiepark 71, 9052 Ghent, Belgium
| | - Niklas Mähler
- Department of Plant Physiology, Umea Plant Science Centre (UPSC), Umeå University, 90187 Umeå, Sweden
| | - Carolin Seyfferth
- Department of Plant Biotechnology and Bioinformatics, Ghent University, Technologiepark 71, 9052 Ghent, Belgium
- VIB Center for Plant Systems Biology, Technologiepark 71, 9052 Ghent, Belgium
- Department of Plant Physiology, Umea Plant Science Centre (UPSC), Umeå University, 90187 Umeå, Sweden
| | - Chanaka Mannapperuma
- Department of Plant Physiology, Umea Plant Science Centre (UPSC), Umeå University, 90187 Umeå, Sweden
| | - Tim Diels
- Department of Plant Biotechnology and Bioinformatics, Ghent University, Technologiepark 71, 9052 Ghent, Belgium
- VIB Center for Plant Systems Biology, Technologiepark 71, 9052 Ghent, Belgium
| | - Tom Van Hautegem
- Department of Plant Biotechnology and Bioinformatics, Ghent University, Technologiepark 71, 9052 Ghent, Belgium
- VIB Center for Plant Systems Biology, Technologiepark 71, 9052 Ghent, Belgium
| | - David Jonsen
- SweTree Technologies AB, Skogsmarksgränd 7, SE-907 36 Umeå, Sweden
| | - Nathaniel Street
- Department of Plant Physiology, Umea Plant Science Centre (UPSC), Umeå University, 90187 Umeå, Sweden
| | - Torgeir R Hvidsten
- Department of Plant Physiology, Umea Plant Science Centre (UPSC), Umeå University, 90187 Umeå, Sweden
- Faculty of Chemistry, Biotechnology and Food Science, Norwegian University of Life Sciences, 1432 Ås, Norway
| | - Magnus Hertzberg
- SweTree Technologies AB, Skogsmarksgränd 7, SE-907 36 Umeå, Sweden
| | - Ove Nilsson
- Department of Forest Genetics and Plant Physiology, Umea Plant Science Centre (UPSC), Swedish University of Agricultural Sciences, 90183 Umeå, Sweden
| | - Dirk Inzé
- Department of Plant Biotechnology and Bioinformatics, Ghent University, Technologiepark 71, 9052 Ghent, Belgium
- VIB Center for Plant Systems Biology, Technologiepark 71, 9052 Ghent, Belgium
| | - Hilde Nelissen
- Department of Plant Biotechnology and Bioinformatics, Ghent University, Technologiepark 71, 9052 Ghent, Belgium
- VIB Center for Plant Systems Biology, Technologiepark 71, 9052 Ghent, Belgium
| | - Klaas Vandepoele
- Department of Plant Biotechnology and Bioinformatics, Ghent University, Technologiepark 71, 9052 Ghent, Belgium
- VIB Center for Plant Systems Biology, Technologiepark 71, 9052 Ghent, Belgium
- Bioinformatics Institute Ghent, Ghent University, Technologiepark 71, 9052 Ghent, Belgium
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16
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Vatov E, Zentgraf U, Ludewig U. Moderate DNA methylation changes associated with nitrogen remobilization and leaf senescence in Arabidopsis. JOURNAL OF EXPERIMENTAL BOTANY 2022; 73:4733-4752. [PMID: 35552412 PMCID: PMC9366325 DOI: 10.1093/jxb/erac167] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 11/18/2021] [Accepted: 05/12/2022] [Indexed: 06/15/2023]
Abstract
The lifespan of plants is restricted by environmental and genetic components. Following the transition to reproductive growth, leaf senescence ends cellular life in monocarpic plants to remobilize nutrients to storage organs. In Arabidopsis, we initially observed altered leaf to seed ratios, faster senescence progression, altered leaf nitrogen recovery after transient nitrogen removal, and ultimately enhanced nitrogen remobilization from the leaves in two methylation mutants (ros1 and the triple dmr1/2 cmt3 knockout). Analysis of the DNA methylome in wild type Col-0 leaves identified an initial moderate decline of cytosine methylation with progressing leaf senescence, predominantly in the CG context. Late senescence was associated with moderate de novo methylation of cytosines, primarily in the CHH context. Relatively few differentially methylated regions, including one in the ROS1 promoter linked to down-regulation of ROS1, were present, but these were unrelated to known senescence-associated genes. Differential methylation patterns were identified in transcription factor binding sites, such as the W-boxes that are targeted by WRKYs. Methylation in artificial binding sites impaired transcription factor binding in vitro. However, it remains unclear how moderate methylome changes during leaf senescence are linked with up-regulated genes during senescence.
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Affiliation(s)
- Emil Vatov
- Institute of Crop Science, Nutritional Crop Physiology, University of Hohenheim, Stuttgart, D-70593, Germany
- Center for Molecular Biology of Plants (ZMBP), University of Tübingen, Tübingen, D-72076, Germany
| | - Ulrike Zentgraf
- Center for Molecular Biology of Plants (ZMBP), University of Tübingen, Tübingen, D-72076, Germany
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17
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Grau J, Franco‐Zorrilla JM. TDTHub, a web server tool for the analysis of transcription factor binding sites in plants. THE PLANT JOURNAL : FOR CELL AND MOLECULAR BIOLOGY 2022; 111:1203-1215. [PMID: 35713985 PMCID: PMC9541588 DOI: 10.1111/tpj.15873] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 02/17/2022] [Revised: 06/09/2022] [Accepted: 06/12/2022] [Indexed: 05/31/2023]
Abstract
Transcriptional regulation underlies most developmental programs and physiological responses to environmental changes in plants. Transcription factors (TFs) play a key role in the regulation of gene expression by binding specifically to short DNA sequences in the regulatory regions of genes: the TF binding sites (TFBSs). In recent years, several bioinformatic tools have been developed to detect TFBSs in candidate genes, either by de novo prediction or by directly mapping experimentally known TFBSs. However, most of these tools contain information for only a few species or require multi-step procedures, and are not always intuitive for non-experienced researchers. Here we present TFBS-Discovery Tool Hub (TDTHub), a web server for quick and intuitive studies of transcriptional regulation in plants. TDTHub uses pre-computed TFBSs in 40 plant species and allows the choice of two mapping algorithms, providing a higher versatility. Besides the main TFBS enrichment tool, TDTHub includes additional tools to assist in the analysis and visualization of data. In order to demonstrate the effectiveness of TDTHub, we analyzed the transcriptional regulation of the anthocyanin biosynthesis pathway. We also analyzed the transcriptional cascades in response to jasmonate and wounding in Arabidopsis and tomato (Solanum lycopersicum), respectively. In these studies, TDTHub helped to verify the most relevant TF nodes and to propose new ones with a prominent role in these pathways. TDTHub is available at http://acrab.cnb.csic.es/TDTHub/, and it will be periodically upgraded and expanded for new species and gene annotations.
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Affiliation(s)
- Joaquín Grau
- Department of Plant Molecular GeneticsCentro Nacional de BiotecnologíaCNB‐CSIC, C/Darwin 328049MadridSpain
| | - José M. Franco‐Zorrilla
- Department of Plant Molecular GeneticsCentro Nacional de BiotecnologíaCNB‐CSIC, C/Darwin 328049MadridSpain
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18
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Han X, Tsuda K. Evolutionary footprint of plant immunity. CURRENT OPINION IN PLANT BIOLOGY 2022; 67:102209. [PMID: 35430538 DOI: 10.1016/j.pbi.2022.102209] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 08/31/2021] [Revised: 02/24/2022] [Accepted: 03/04/2022] [Indexed: 06/14/2023]
Abstract
There are pieces of evidence from genomic footprints and fossil records indicating that plants have co-evolved with microbes after terrestrialization for more than 407 million years. Therefore, to truly comprehend plant evolution, we need to understand the co-evolutionary process and history between plants and microbes. Recent developments in genomes and transcriptomes of a vast number of plant species as well as microbes have greatly expanded our knowledge of the evolution of the plant immune system. In this review, we summarize recent advances in the co-evolution between plants and microbes with emphasis on the plant side and point out future research needed for understanding plant-microbial co-evolution. Knowledge of the evolution and variation of the plant immune system will better equip us on designing crops with boosted performance in agricultural fields.
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Affiliation(s)
- Xiaowei Han
- State Key Laboratory of Agricultural Microbiology, Hubei Hongshan Laboratory, Hubei Key Lab of Plant Pathology, College of Plant Science and Technology, Huazhong Agricultural University, Wuhan, 430070, China; Shenzhen Institute of Nutrition and Health, Huazhong Agricultural University, Wuhan, 430070, China; Shenzhen Branch, Guangdong Laboratory of Lingnan Modern Agriculture, Genome Analysis Laboratory of the Ministry of Agriculture and Rural Affairs, Agricultural Genomics Institute at Shenzhen, Chinese Academy of Agricultural Sciences, Shenzhen, 518120, China
| | - Kenichi Tsuda
- State Key Laboratory of Agricultural Microbiology, Hubei Hongshan Laboratory, Hubei Key Lab of Plant Pathology, College of Plant Science and Technology, Huazhong Agricultural University, Wuhan, 430070, China; Shenzhen Institute of Nutrition and Health, Huazhong Agricultural University, Wuhan, 430070, China; Shenzhen Branch, Guangdong Laboratory of Lingnan Modern Agriculture, Genome Analysis Laboratory of the Ministry of Agriculture and Rural Affairs, Agricultural Genomics Institute at Shenzhen, Chinese Academy of Agricultural Sciences, Shenzhen, 518120, China.
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19
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Schmitz RJ, Grotewold E, Stam M. Cis-regulatory sequences in plants: Their importance, discovery, and future challenges. THE PLANT CELL 2022; 34:718-741. [PMID: 34918159 PMCID: PMC8824567 DOI: 10.1093/plcell/koab281] [Citation(s) in RCA: 119] [Impact Index Per Article: 59.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 06/04/2021] [Accepted: 10/20/2021] [Indexed: 05/19/2023]
Abstract
The identification and characterization of cis-regulatory DNA sequences and how they function to coordinate responses to developmental and environmental cues is of paramount importance to plant biology. Key to these regulatory processes are cis-regulatory modules (CRMs), which include enhancers and silencers. Despite the extraordinary advances in high-quality sequence assemblies and genome annotations, the identification and understanding of CRMs, and how they regulate gene expression, lag significantly behind. This is especially true for their distinguishing characteristics and activity states. Here, we review the current knowledge on CRMs and breakthrough technologies enabling identification, characterization, and validation of CRMs; we compare the genomic distributions of CRMs with respect to their target genes between different plant species, and discuss the role of transposable elements harboring CRMs in the evolution of gene expression. This is an exciting time to study cis-regulomes in plants; however, significant existing challenges need to be overcome to fully understand and appreciate the role of CRMs in plant biology and in crop improvement.
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Affiliation(s)
- Robert J Schmitz
- Department of Genetics, University of Georgia, Athens, Georgia 30602, USA
| | - Erich Grotewold
- Department of Biochemistry and Molecular Biology, Michigan State University, East Lansing, Michigan 48824, USA
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20
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Three topological features of regulatory networks control life-essential and specialized subsystems. Sci Rep 2021; 11:24209. [PMID: 34930908 PMCID: PMC8688434 DOI: 10.1038/s41598-021-03625-w] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/10/2021] [Accepted: 12/07/2021] [Indexed: 11/08/2022] Open
Abstract
Gene regulatory networks (GRNs) play key roles in development, phenotype plasticity, and evolution. Although graph theory has been used to explore GRNs, associations amongst topological features, transcription factors (TFs), and systems essentiality are poorly understood. Here we sought the relationship amongst the main GRN topological features that influence the control of essential and specific subsystems. We found that the Knn, page rank, and degree are the most relevant GRN features: the ones are conserved along the evolution and are also relevant in pluripotent cells. Interestingly, life-essential subsystems are governed mainly by TFs with intermediary Knn and high page rank or degree, whereas specialized subsystems are mainly regulated by TFs with low Knn. Hence, we suggest that the high probability of TFs be toured by a random signal, and the high probability of the signal propagation to target genes ensures the life-essential subsystems' robustness. Gene/genome duplication is the main evolutionary process to rise Knn as the most relevant feature. Herein, we shed light on unexplored topological GRN features to assess how they are related to subsystems and how the duplications shaped the regulatory systems along the evolution. The classification model generated can be found here: https://github.com/ivanrwolf/NoC/ .
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21
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Siddique MH, Babar NI, Zameer R, Muzammil S, Nahid N, Ijaz U, Masroor A, Nadeem M, Rashid MAR, Hashem A, Azeem F, Fathi Abd_Allah E. Genome-Wide Identification, Genomic Organization, and Characterization of Potassium Transport-Related Genes in Cajanus cajan and Their Role in Abiotic Stress. PLANTS (BASEL, SWITZERLAND) 2021; 10:2238. [PMID: 34834601 PMCID: PMC8619154 DOI: 10.3390/plants10112238] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 08/27/2021] [Revised: 10/01/2021] [Accepted: 10/05/2021] [Indexed: 05/10/2023]
Abstract
Potassium is the most important and abundant inorganic cation in plants and it can comprise up to 10% of a plant's dry weight. Plants possess complex systems of transporters and channels for the transport of K+ from soil to numerous parts of plants. Cajanus cajan is cultivated in different regions of the world as an economical source of carbohydrates, fiber, proteins, and fodder for animals. In the current study, 39 K+ transport genes were identified in C. cajan, including 25 K+ transporters (17 carrier-like K+ transporters (KUP/HAK/KTs), 2 high-affinity potassium transporters (HKTs), and 6 K+ efflux transporters (KEAs) and 14 K+ channels (9 shakers and 5 tandem-pore K+ channels (TPKs). Chromosomal mapping indicated that these genes were randomly distributed among 10 chromosomes. A comparative phylogenetic analysis including protein sequences from Glycine max, Arabidopsis thaliana, Oryza sativa, Medicago truncatula Cicer arietinum, and C. cajan suggested vital conservation of K+ transport genes. Gene structure analysis showed that the intron/exon organization of K+ transporter and channel genes is highly conserved in a family-specific manner. In the promoter region, many cis-regulatory elements were identified related to abiotic stress, suggesting their role in abiotic stress response. Abiotic stresses (salt, heat, and drought) adversely affect chlorophyll, carotenoids contents, and total soluble proteins. Furthermore, the activities of catalase, superoxide, and peroxidase were altered in C. cajan leaves under applied stresses. Expression analysis (RNA-seq data and quantitative real-time PCR) revealed that several K+ transport genes were expressed in abiotic stress-responsive manners. The present study provides an in-depth understanding of K+ transport system genes in C. cajan and serves as a basis for further characterization of these genes.
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Affiliation(s)
- Muhammad Hussnain Siddique
- Department of Bioinformatics and Biotechnology, Government College University Faisalabad, Faisalabad 38000, Pakistan; (M.H.S.); (N.I.B.); (R.Z.); (N.N.); (U.I.)
| | - Naeem Iqbal Babar
- Department of Bioinformatics and Biotechnology, Government College University Faisalabad, Faisalabad 38000, Pakistan; (M.H.S.); (N.I.B.); (R.Z.); (N.N.); (U.I.)
| | - Roshan Zameer
- Department of Bioinformatics and Biotechnology, Government College University Faisalabad, Faisalabad 38000, Pakistan; (M.H.S.); (N.I.B.); (R.Z.); (N.N.); (U.I.)
| | - Saima Muzammil
- Department of Microbiology, Government College University Faisalabad, Faisalabad 38000, Pakistan;
| | - Nazia Nahid
- Department of Bioinformatics and Biotechnology, Government College University Faisalabad, Faisalabad 38000, Pakistan; (M.H.S.); (N.I.B.); (R.Z.); (N.N.); (U.I.)
| | - Usman Ijaz
- Department of Bioinformatics and Biotechnology, Government College University Faisalabad, Faisalabad 38000, Pakistan; (M.H.S.); (N.I.B.); (R.Z.); (N.N.); (U.I.)
| | - Ashir Masroor
- Sub-Campus Burewala-Vehari, University of Agriculture Faisalabad, Faisalabad 38000, Pakistan;
| | - Majid Nadeem
- Wheat Research Institute, Ayub Agricultural Research Institute, Faisalabad 38000, Pakistan;
| | - Muhammad Abdul Rehman Rashid
- Department of Bioinformatics and Biotechnology, Government College University Faisalabad, Faisalabad 38000, Pakistan; (M.H.S.); (N.I.B.); (R.Z.); (N.N.); (U.I.)
| | - Abeer Hashem
- Botany and Microbiology Department, College of Science, King Saud University, P.O. Box. 2460, Riyadh 11451, Saudi Arabia;
| | - Farrukh Azeem
- Department of Bioinformatics and Biotechnology, Government College University Faisalabad, Faisalabad 38000, Pakistan; (M.H.S.); (N.I.B.); (R.Z.); (N.N.); (U.I.)
| | - Elsayed Fathi Abd_Allah
- Plant Production Department, College of Food and Agricultural Sciences, King Saud University, P.O. Box. 2460, Riyadh 11451, Saudi Arabia;
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22
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Savadel SD, Hartwig T, Turpin ZM, Vera DL, Lung PY, Sui X, Blank M, Frommer WB, Dennis JH, Zhang J, Bass HW. The native cistrome and sequence motif families of the maize ear. PLoS Genet 2021; 17:e1009689. [PMID: 34383745 PMCID: PMC8360572 DOI: 10.1371/journal.pgen.1009689] [Citation(s) in RCA: 9] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/02/2020] [Accepted: 06/30/2021] [Indexed: 01/22/2023] Open
Abstract
Elucidating the transcriptional regulatory networks that underlie growth and development requires robust ways to define the complete set of transcription factor (TF) binding sites. Although TF-binding sites are known to be generally located within accessible chromatin regions (ACRs), pinpointing these DNA regulatory elements globally remains challenging. Current approaches primarily identify binding sites for a single TF (e.g. ChIP-seq), or globally detect ACRs but lack the resolution to consistently define TF-binding sites (e.g. DNAse-seq, ATAC-seq). To address this challenge, we developed MNase-defined cistrome-Occupancy Analysis (MOA-seq), a high-resolution (< 30 bp), high-throughput, and genome-wide strategy to globally identify putative TF-binding sites within ACRs. We used MOA-seq on developing maize ears as a proof of concept, able to define a cistrome of 145,000 MOA footprints (MFs). While a substantial majority (76%) of the known ATAC-seq ACRs intersected with the MFs, only a minority of MFs overlapped with the ATAC peaks, indicating that the majority of MFs were novel and not detected by ATAC-seq. MFs were associated with promoters and significantly enriched for TF-binding and long-range chromatin interaction sites, including for the well-characterized FASCIATED EAR4, KNOTTED1, and TEOSINTE BRANCHED1. Importantly, the MOA-seq strategy improved the spatial resolution of TF-binding prediction and allowed us to identify 215 motif families collectively distributed over more than 100,000 non-overlapping, putatively-occupied binding sites across the genome. Our study presents a simple, efficient, and high-resolution approach to identify putative TF footprints and binding motifs genome-wide, to ultimately define a native cistrome atlas. Understanding gene regulation remains a central goal of modern biology. Delineating the full set of regulatory DNA elements that orchestrate this regulation requires information at two scales; the broad landscape of accessible chromatin, and the site-specific binding of transcription factors (TFs) at discrete cis-regulatory DNA elements. Here we describe a single assay that uses micrococcal nuclease (MNase) as a structural probe to simultaneously reveal regions of accessible chromatin in addition to high-resolution footprints with signatures of TF-occupied cis-elements. We have used maize developing ear tissue as proof of concept, showing the method detects known TF-binding sites. This genome-wide assay not only defines chromatin landscapes, but crucially enables global discovery and mapping of sequence motifs underlying small footprints of ~30 bp to produce an atlas of candidate TF occupancy.
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Affiliation(s)
- Savannah D. Savadel
- Department of Biological Science, Florida State University, Tallahassee, Florida, United States of America
| | - Thomas Hartwig
- Institute for Molecular Physiologie, Heinrich-Heine-Universität, Düsseldorf, Germany
- Independent research groups, Max Planck Institute for Plant Breeding Research, Cologne, Germany
| | - Zachary M. Turpin
- Department of Biological Science, Florida State University, Tallahassee, Florida, United States of America
| | - Daniel L. Vera
- Department of Biological Science, Florida State University, Tallahassee, Florida, United States of America
| | - Pei-Yau Lung
- Department of Statistics, Florida State University, Tallahassee, Florida, United States of America
| | - Xin Sui
- Department of Statistics, Florida State University, Tallahassee, Florida, United States of America
| | - Max Blank
- Institute for Molecular Physiologie, Heinrich-Heine-Universität, Düsseldorf, Germany
- Independent research groups, Max Planck Institute for Plant Breeding Research, Cologne, Germany
| | - Wolf B. Frommer
- Institute for Molecular Physiologie, Heinrich-Heine-Universität, Düsseldorf, Germany
- Independent research groups, Max Planck Institute for Plant Breeding Research, Cologne, Germany
| | - Jonathan H. Dennis
- Department of Biological Science, Florida State University, Tallahassee, Florida, United States of America
| | - Jinfeng Zhang
- Department of Statistics, Florida State University, Tallahassee, Florida, United States of America
| | - Hank W. Bass
- Department of Biological Science, Florida State University, Tallahassee, Florida, United States of America
- * E-mail:
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He G, Tian W, Qin L, Meng L, Wu D, Huang Y, Li D, Zhao D, He T. Identification of novel heavy metal detoxification proteins in Solanum tuberosum: Insights to improve food security protection from metal ion stress. THE SCIENCE OF THE TOTAL ENVIRONMENT 2021; 779:146197. [PMID: 33744586 DOI: 10.1016/j.scitotenv.2021.146197] [Citation(s) in RCA: 19] [Impact Index Per Article: 6.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 01/05/2021] [Revised: 02/07/2021] [Accepted: 02/25/2021] [Indexed: 05/22/2023]
Abstract
With increasingly serious environmental pollution problems, research has focused on identifying functional genes within plants that can help ensure food security and soil governance. In particular, plants seem to have been able to evolve specific functional genes to respond to environmental changes by losing partial gene functions, thereby representing a novel adaptation mechanism. Herein, a new category of functional genes was identified and investigated, providing new directions for understanding heavy metal detoxification mechanisms. Interestingly, this category of proteins appears to exhibit specific complexing functions for heavy metals. Further, a new approach was established to evaluate ATP-binding cassette (ABC) transporter family functions using microRNA targeted inhibition. Moreover, mutant and functional genes were identified for future research targets. Expression profiling under five heavy metal stress treatments provided an important framework to further study defense responses of plants to metal exposure. In conclusion, the new insights identified here provide a theoretical basis and reference to better understand the mechanisms of heavy metal tolerance in potato plants. Further, these new data provide additional directions and foundations for mining gene resources for heavy metal tolerance genes to improve safe, green crop production and plant treatment of heavy metal soil pollution.
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Affiliation(s)
- Guandi He
- The Key Laboratory of Plant Resources Conservation and Germplasm Innovation in Mountainous Region (Ministry of Education), Institute of Agro-Bioengineering and College of Life Sciences, Guizhou University, Guiyang 550025, China.
| | - Weijun Tian
- Agricultural College, Guizhou University, Guiyang 550025, China.
| | - Lijun Qin
- The Key Laboratory of Plant Resources Conservation and Germplasm Innovation in Mountainous Region (Ministry of Education), Institute of Agro-Bioengineering and College of Life Sciences, Guizhou University, Guiyang 550025, China.
| | - Lulu Meng
- Agricultural College, Guizhou University, Guiyang 550025, China.
| | - Danxia Wu
- Agricultural College, Guizhou University, Guiyang 550025, China.
| | - Yun Huang
- Agricultural College, Guizhou University, Guiyang 550025, China.
| | - Dandan Li
- Agricultural College, Guizhou University, Guiyang 550025, China.
| | - Degang Zhao
- The Key Laboratory of Plant Resources Conservation and Germplasm Innovation in Mountainous Region (Ministry of Education), Institute of Agro-Bioengineering and College of Life Sciences, Guizhou University, Guiyang 550025, China; Guizhou Academy of Agricultural Science, Guiyang 550025, China.
| | - Tengbing He
- Agricultural College, Guizhou University, Guiyang 550025, China; Institute of New Rural Development of Guizhou University, Guiyang 550025, China.
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24
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Vatov E, Ludewig U, Zentgraf U. Disparate Dynamics of Gene Body and cis-Regulatory Element Evolution Illustrated for the Senescence-Associated Cysteine Protease Gene SAG12 of Plants. PLANTS 2021; 10:plants10071380. [PMID: 34371583 PMCID: PMC8309469 DOI: 10.3390/plants10071380] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 05/31/2021] [Revised: 07/01/2021] [Accepted: 07/02/2021] [Indexed: 11/16/2022]
Abstract
Gene regulation networks precisely orchestrate the expression of genes that are closely associated with defined physiological and developmental processes such as leaf senescence in plants. The Arabidopsis thaliana senescence-associated gene 12 (AtSAG12) encodes a cysteine protease that is (i) involved in the degradation of chloroplast proteins and (ii) almost exclusively expressed during senescence. Transcription factors, such as WRKY53 and WRKY45, bind to W-boxes in the promoter region of AtSAG12 and play key roles in its activation. Other transcription factors, such as bZIPs, might have accessory functions in their gene regulation, as several A-boxes have been identified and appear to be highly overrepresented in the promoter region compared to the whole genome distribution but are not localized within the regulatory regions driving senescence-associated expression. To address whether these two regulatory elements exhibiting these different properties are conserved in other closely related species, we constructed phylogenetic trees of the coding sequences of orthologs of AtSAG12 and screened their respective 2000 bp promoter regions for the presence of conserved cis-regulatory elements, such as bZIP and WRKY binding sites. Interestingly, the functional relevant upstream located W-boxes were absent in plant species as closely related as Arabidopsis lyrata, whereas an A-box cluster appeared to be conserved in the Arabidopsis species but disappeared in Brassica napus. Several orthologs were present in other species, possibly because of local or whole genome duplication events, but with distinct cis-regulatory sites in different locations. However, at least one gene copy in each family analyzed carried one W-box and one A-box in its promoter. These gene differences in SAG12 orthologs are discussed in the framework of cis- and trans-regulatory factors, of promoter and gene evolution, of genetic variation, and of the enhancement of the adaptability of plants to changing environmental conditions.
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Affiliation(s)
- Emil Vatov
- Center for Plant Molecular Biology (ZMBP), University of Tübingen, Auf der Morgenstelle 32, 72076 Tübingen, Germany;
- Institute of Crop Science, Nutritional Crop Physiology, University of Hohenheim, Fruwirthstr. 20, 70599 Stuttgart, Germany;
| | - Uwe Ludewig
- Institute of Crop Science, Nutritional Crop Physiology, University of Hohenheim, Fruwirthstr. 20, 70599 Stuttgart, Germany;
| | - Ulrike Zentgraf
- Center for Plant Molecular Biology (ZMBP), University of Tübingen, Auf der Morgenstelle 32, 72076 Tübingen, Germany;
- Correspondence:
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25
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Lin Y, Zhao H, Kotlarz M, Jiang J. Enhancer-mediated reporter gene expression in Arabidopsis thaliana: a forward genetic screen. THE PLANT JOURNAL : FOR CELL AND MOLECULAR BIOLOGY 2021; 106:661-671. [PMID: 33547831 DOI: 10.1111/tpj.15189] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 09/03/2020] [Revised: 01/29/2021] [Accepted: 02/02/2021] [Indexed: 06/12/2023]
Abstract
Gene expression is controlled and regulated by interactions between cis-regulatory DNA elements (CREs) and regulatory proteins. Enhancers are one of the most important classes of CREs in eukaryotes. Eukaryotic genes, especially those related to development or responses to environmental cues, are often regulated by multiple enhancers in different tissues and/or at different developmental stages. Remarkably, little is known about the molecular mechanisms by which enhancers regulate gene expression in plants. We identified a distal enhancer, CREβ, which regulates the expression of AtDGK7, which encodes a diacylglycerol kinase in Arabidopsis. We developed a transgenic line containing the luciferase reporter gene (LUC) driven by CREβ fused with a minimal cauliflower mosaic virus (CaMV) 35S promoter. The CREβ enhancer was shown to play a role in the response to osmotic pressure of the LUC reporter gene. A forward genetic screen pipeline based on the transgenic line was established to generate mutations associated with altered expression of the LUC reporter gene. We identified a suite of mutants with variable LUC expression levels as well as different segregation patterns of the mutations in populations. We demonstrate that this pipeline will allow us to identify trans-regulatory factors associated with CREβ function as well as those acting in the regulation of the endogenous AtDGK7 gene.
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Affiliation(s)
- Yuan Lin
- Department of Plant Biology, Michigan State University, East Lansing, MI, 48824, USA
- Engineering Research Center for Horticultural Crop Germplasm Creation and New Variety Breeding, Ministry of Education, Hunan Agriculture University, Changsha, 410128, China
| | - Hainan Zhao
- Department of Plant Biology, Michigan State University, East Lansing, MI, 48824, USA
| | - Magdalena Kotlarz
- Department of Plant Biology, Michigan State University, East Lansing, MI, 48824, USA
| | - Jiming Jiang
- Department of Plant Biology, Michigan State University, East Lansing, MI, 48824, USA
- Department of Horticulture, Michigan State University, East Lansing, MI, 48824, USA
- Michigan State University AgBioResearch, East Lansing, MI, 48824, USA
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26
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Romani F, Moreno JE. Molecular mechanisms involved in functional macroevolution of plant transcription factors. THE NEW PHYTOLOGIST 2021; 230:1345-1353. [PMID: 33368298 DOI: 10.1111/nph.17161] [Citation(s) in RCA: 29] [Impact Index Per Article: 9.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 10/22/2020] [Accepted: 12/17/2020] [Indexed: 05/04/2023]
Abstract
Transcription factors (TFs) are key components of the transcriptional regulation machinery. In plants, they accompanied the evolution from unicellular aquatic algae to complex flowering plants that dominate the land environment. The adaptations of the body plan and physiological responses required changes in the biological functions of TFs. Some ancestral gene regulatory networks are highly conserved, while others evolved more recently and only exist in particular lineages. The recent emergence of novel model organisms provided the opportunity for comparative studies, producing new insights to infer these evolutionary trajectories. In this review, we comprehensively revisit the recent literature on TFs of nonseed plants and algae, focusing on the molecular mechanisms driving their functional evolution. We discuss the particular contribution of changes in DNA-binding specificity, protein-protein interactions and cis-regulatory elements to gene regulatory networks. Current advances have shown that these evolutionary processes were shaped by changes in TF expression pattern, not through great innovation in TF protein sequences. We propose that the role of TFs associated with environmental and developmental regulation was unevenly conserved during land plant evolution.
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Affiliation(s)
- Facundo Romani
- Facultad de Bioquímica y Ciencias Biológicas, Instituto de Agrobiotecnología del Litoral, Centro Científico Tecnológico CONICET Santa Fe, Universidad Nacional del Litoral - CONICET, Colectora RN 168 km. 0, Paraje El Pozo, Santa Fe, 3000, Argentina
| | - Javier E Moreno
- Facultad de Bioquímica y Ciencias Biológicas, Instituto de Agrobiotecnología del Litoral, Centro Científico Tecnológico CONICET Santa Fe, Universidad Nacional del Litoral - CONICET, Colectora RN 168 km. 0, Paraje El Pozo, Santa Fe, 3000, Argentina
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27
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Fajardo TVM, Quecini V. Comparative transcriptome analyses between cultivated and wild grapes reveal conservation of expressed genes but extensive rewiring of co-expression networks. PLANT MOLECULAR BIOLOGY 2021; 106:1-20. [PMID: 33538951 DOI: 10.1007/s11103-021-01122-2] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 07/23/2020] [Accepted: 01/17/2021] [Indexed: 06/12/2023]
Abstract
The transcriptomes of wild and cultivated grapes consists of similar expressed genes but distinct wiring of co-expressed modules associated with environmental conditions. Grapevine is an important fruit crop worldwide, with high economic value and widespread distribution. Commercial production is based on Vitis vinifera, and, to a lesser extent, on hybrids with American grapes, such as V. labrusca. Wild grape relatives are important sources of resistance against biotic and abiotic factors; however, their global gene expression patterns remain poorly characterized. We associated genome-wide transcript profiling to phenotypic analyses to investigate the responses of cultivated and wild vines to vineyard conditions. The expressed genes in the Vitis reference transcriptome are largely shared by wild grapes, V. labrusca hybrids and vinifera cultivars. In contrast, significant differential regulation between wild and vinifera genotypes represents 80% of gene expression variation, regardless of the environment. In wild grapes, genes associated to regulatory processes are downregulated, whereas those involved in metabolic pathways are upregulated, in comparison to vinifera. Photosynthesis-related ontologies are overrepresented in the induced genes, in agreement with higher contents of chlorophyll in wild grapes. Co-regulated gene network analyses provide evidence of more complex transcriptome organization in vinifera. In wild grapes, genes involved in signaling pathways of stress-related hormones are overrepresented in modules associated with the environment. Consensus network analyses revealed high preservation within co-regulated gene modules between cultivated and wild grapes, but divergent relationships among the expression clusters. In conclusion, the distinct phenotypes of wild and cultivated grapes are underlain by differences in gene expression, but also by distinct higher-order organization of the transcriptome and contrasting association of co-expressed gene clusters with the environment.
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Affiliation(s)
- Thor V M Fajardo
- Embrapa Uva e Vinho (Brazilian Agricultural Research Corporation, Grape and Wine Research Center), Rua Livramento, 515, Bento Gonçalves, RS, 95701-008, Brazil
| | - Vera Quecini
- Embrapa Uva e Vinho (Brazilian Agricultural Research Corporation, Grape and Wine Research Center), Rua Livramento, 515, Bento Gonçalves, RS, 95701-008, Brazil.
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28
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De Clercq I, Van de Velde J, Luo X, Liu L, Storme V, Van Bel M, Pottie R, Vaneechoutte D, Van Breusegem F, Vandepoele K. Integrative inference of transcriptional networks in Arabidopsis yields novel ROS signalling regulators. NATURE PLANTS 2021; 7:500-513. [PMID: 33846597 DOI: 10.1038/s41477-021-00894-1] [Citation(s) in RCA: 34] [Impact Index Per Article: 11.3] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 08/11/2020] [Accepted: 03/04/2021] [Indexed: 05/12/2023]
Abstract
Gene regulation is a dynamic process in which transcription factors (TFs) play an important role in controlling spatiotemporal gene expression. To enhance our global understanding of regulatory interactions in Arabidopsis thaliana, different regulatory input networks capturing complementary information about DNA motifs, open chromatin, TF-binding and expression-based regulatory interactions were combined using a supervised learning approach, resulting in an integrated gene regulatory network (iGRN) covering 1,491 TFs and 31,393 target genes (1.7 million interactions). This iGRN outperforms the different input networks to predict known regulatory interactions and has a similar performance to recover functional interactions compared to state-of-the-art experimental methods. The iGRN correctly inferred known functions for 681 TFs and predicted new gene functions for hundreds of unknown TFs. For regulators predicted to be involved in reactive oxygen species (ROS) stress regulation, we confirmed in total 75% of TFs with a function in ROS and/or physiological stress responses. This includes 13 ROS regulators, previously not connected to any ROS or stress function, that were experimentally validated in our ROS-specific phenotypic assays of loss- or gain-of-function lines. In conclusion, the presented iGRN offers a high-quality starting point to enhance our understanding of gene regulation in plants by integrating different experimental data types.
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Affiliation(s)
- Inge De Clercq
- Department of Plant Biotechnology and Bioinformatics, Ghent University, Ghent, Belgium.
- VIB Center for Plant Systems Biology, Ghent, Belgium.
| | - Jan Van de Velde
- 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
| | - Xiaopeng Luo
- Department of Plant Biotechnology and Bioinformatics, Ghent University, Ghent, Belgium
- VIB Center for Plant Systems Biology, Ghent, Belgium
| | - Li Liu
- 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
| | - Veronique Storme
- Department of Plant Biotechnology and Bioinformatics, Ghent University, Ghent, Belgium
- VIB Center for Plant Systems Biology, Ghent, Belgium
| | - Michiel Van Bel
- Department of Plant Biotechnology and Bioinformatics, Ghent University, Ghent, Belgium
- VIB Center for Plant Systems Biology, Ghent, Belgium
| | - Robin Pottie
- Department of Plant Biotechnology and Bioinformatics, Ghent University, Ghent, Belgium
- VIB Center for Plant Systems Biology, Ghent, Belgium
| | - Dries Vaneechoutte
- 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
| | - Frank Van Breusegem
- 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.
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29
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Zhan J. Drawing In the Net: 45 Maize Gene Regulatory Networks from More Than 6,000 RNA-Seq Samples. THE PLANT CELL 2020; 32:1338-1339. [PMID: 32213635 PMCID: PMC7203919 DOI: 10.1105/tpc.20.00236] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/10/2023]
Affiliation(s)
- Junpeng Zhan
- Donald Danforth Plant Science CenterSt. Louis, MissouriDepartment of Biology and Institute of Plant and Food ScienceSouthern University of Science and TechnologyShenzhen, Guangdong, China
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