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Wen C, Yuan Z, Zhang X, Chen H, Luo L, Li W, Li T, Ma N, Mao F, Lin D, Lin Z, Lin C, Xu T, Lü P, Lin J, Zhu F. Sea-ATI unravels novel vocabularies of plant active cistrome. Nucleic Acids Res 2023; 51:11568-11583. [PMID: 37850650 PMCID: PMC10681729 DOI: 10.1093/nar/gkad853] [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: 06/17/2023] [Revised: 08/11/2023] [Accepted: 09/25/2023] [Indexed: 10/19/2023] Open
Abstract
The cistrome consists of all cis-acting regulatory elements recognized by transcription factors (TFs). However, only a portion of the cistrome is active for TF binding in a specific tissue. Resolving the active cistrome in plants remains challenging. In this study, we report the assay sequential extraction assisted-active TF identification (sea-ATI), a low-input method that profiles the DNA sequences recognized by TFs in a target tissue. We applied sea-ATI to seven plant tissues to survey their active cistrome and generated 41 motif models, including 15 new models that represent previously unidentified cis-regulatory vocabularies. ATAC-seq and RNA-seq analyses confirmed the functionality of the cis-elements from the new models, in that they are actively bound in vivo, located near the transcription start site, and influence chromatin accessibility and transcription. Furthermore, comparing dimeric WRKY CREs between sea-ATI and DAP-seq libraries revealed that thermodynamics and genetic drifts cooperatively shaped their evolution. Notably, sea-ATI can identify not only positive but also negative regulatory cis-elements, thereby providing unique insights into the functional non-coding genome of plants.
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Affiliation(s)
- Chenjin Wen
- College of Life Science, Haixia Institute of Science and Technology, National Engineering Research Center of JUNCAO, Fujian Agriculture and Forestry University, Fuzhou 350002, Fujian, China
| | - Zhen Yuan
- College of Life Science, Haixia Institute of Science and Technology, National Engineering Research Center of JUNCAO, Fujian Agriculture and Forestry University, Fuzhou 350002, Fujian, China
| | - Xiaotian Zhang
- College of Life Science, Haixia Institute of Science and Technology, National Engineering Research Center of JUNCAO, Fujian Agriculture and Forestry University, Fuzhou 350002, Fujian, China
| | - Hao Chen
- College of Life Science, Haixia Institute of Science and Technology, National Engineering Research Center of JUNCAO, Fujian Agriculture and Forestry University, Fuzhou 350002, Fujian, China
| | - Lin Luo
- College of Life Science, Haixia Institute of Science and Technology, National Engineering Research Center of JUNCAO, Fujian Agriculture and Forestry University, Fuzhou 350002, Fujian, China
| | - Wanying Li
- College of Life Science, Haixia Institute of Science and Technology, National Engineering Research Center of JUNCAO, Fujian Agriculture and Forestry University, Fuzhou 350002, Fujian, China
| | - Tian Li
- College of Life Science, Haixia Institute of Science and Technology, National Engineering Research Center of JUNCAO, Fujian Agriculture and Forestry University, Fuzhou 350002, Fujian, China
| | - Nana Ma
- College of Life Science, Haixia Institute of Science and Technology, National Engineering Research Center of JUNCAO, Fujian Agriculture and Forestry University, Fuzhou 350002, Fujian, China
| | - Fei Mao
- College of Life Science, Haixia Institute of Science and Technology, National Engineering Research Center of JUNCAO, Fujian Agriculture and Forestry University, Fuzhou 350002, Fujian, China
| | - Dongmei Lin
- College of Life Science, Haixia Institute of Science and Technology, National Engineering Research Center of JUNCAO, Fujian Agriculture and Forestry University, Fuzhou 350002, Fujian, China
| | - Zhanxi Lin
- College of Life Science, Haixia Institute of Science and Technology, National Engineering Research Center of JUNCAO, Fujian Agriculture and Forestry University, Fuzhou 350002, Fujian, China
| | - Chentao Lin
- College of Life Science, Haixia Institute of Science and Technology, National Engineering Research Center of JUNCAO, Fujian Agriculture and Forestry University, Fuzhou 350002, Fujian, China
| | - Tongda Xu
- College of Life Science, Haixia Institute of Science and Technology, National Engineering Research Center of JUNCAO, Fujian Agriculture and Forestry University, Fuzhou 350002, Fujian, China
| | - Peitao Lü
- College of Horticulture, Fujian Agriculture and Forestry University, Fuzhou 350002, Fujian, China
| | - Juncheng Lin
- College of Life Science, Haixia Institute of Science and Technology, National Engineering Research Center of JUNCAO, Fujian Agriculture and Forestry University, Fuzhou 350002, Fujian, China
| | - Fangjie Zhu
- College of Life Science, Haixia Institute of Science and Technology, National Engineering Research Center of JUNCAO, Fujian Agriculture and Forestry University, Fuzhou 350002, Fujian, China
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Bao Y, Wei Y, Liu Y, Gao J, Cheng S, Liu G, You Q, Liu P, Lu Q, Li P, Zhang S, Hu N, Han Y, Liu S, Wu Y, Yang Q, Li Z, Ao G, Liu F, Wang K, Jiang J, Zhang T, Zhang W, Peng R. Genome-wide chromatin accessibility landscape and dynamics of transcription factor networks during ovule and fiber development in cotton. BMC Biol 2023; 21:165. [PMID: 37525156 PMCID: PMC10391996 DOI: 10.1186/s12915-023-01665-4] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/24/2022] [Accepted: 07/18/2023] [Indexed: 08/02/2023] Open
Abstract
BACKGROUND The development of cotton fiber is regulated by the orchestrated binding of regulatory proteins to cis-regulatory elements associated with developmental genes. The cis-trans regulatory dynamics occurred throughout the course of cotton fiber development are elusive. Here we generated genome-wide high-resolution DNase I hypersensitive sites (DHSs) maps to understand the regulatory mechanisms of cotton ovule and fiber development. RESULTS We generated DNase I hypersensitive site (DHS) profiles from cotton ovules at 0 and 3 days post anthesis (DPA) and fibers at 8, 12, 15, and 18 DPA. We obtained a total of 1185 million reads and identified a total of 199,351 DHSs through ~ 30% unique mapping reads. It should be noted that more than half of DNase-seq reads mapped multiple genome locations and were not analyzed in order to achieve a high specificity of peak profile and to avoid bias from repetitive genomic regions. Distinct chromatin accessibilities were observed in the ovules (0 and 3 DPA) compared to the fiber elongation stages (8, 12, 15, and 18 DPA). Besides, the chromatin accessibility during ovules was particularly elevated in genomic regions enriched with transposable elements (TEs) and genes in TE-enriched regions were involved in ovule cell division. We analyzed cis-regulatory modules and revealed the influence of hormones on fiber development from the regulatory divergence of transcription factor (TF) motifs. Finally, we constructed a reliable regulatory network of TFs related to ovule and fiber development based on chromatin accessibility and gene co-expression network. From this network, we discovered a novel TF, WRKY46, which may shape fiber development by regulating the lignin content. CONCLUSIONS Our results not only reveal the contribution of TEs in fiber development, but also predict and validate the TFs related to fiber development, which will benefit the research of cotton fiber molecular breeding.
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Affiliation(s)
- Yu Bao
- Jiangsu Key Laboratory of Crop Genomics and Molecular Breeding/Jiangsu Key Laboratory of Crop Genetics and Physiology/Jiangsu Co-Innovation Center for Modern Production Technology of Grain Crops, Agricultural College of Yangzhou University, Yangzhou, 225009, China
- Anyang Institute of Technology, Anyang, Henan, 455000, China
- Key Laboratory of Plant Functional Genomics of the Ministry of Education/Joint International Research Laboratory of Agriculture and Agri-Product Safety of Ministry of Education of China, Yangzhou University, Yangzhou, 225009, China
| | - Yangyang Wei
- Anyang Institute of Technology, Anyang, Henan, 455000, China
- Research Base, Anyang Institute of Technology, State Key Laboratory of Cotton Biology, Anyang, Henan, 455000, China
| | - Yuling Liu
- Anyang Institute of Technology, Anyang, Henan, 455000, China
- Research Base, Anyang Institute of Technology, State Key Laboratory of Cotton Biology, Anyang, Henan, 455000, China
| | - Jingjing Gao
- National Key Laboratory for Crop Genetics and Germplasm Enhancement and Utilization, Collaborative Innovation Center for Modern Crop Production Co-Sponsored By Province and Ministry (CIC-MCP), Nanjing Agricultural University, No.1 Weigang, Nanjing, 210095, Jiangsu, China
| | - Shuang Cheng
- Anyang Institute of Technology, Anyang, Henan, 455000, China
- Zhengzhou University, Zhengzhou, Henan, 450001, China
| | - Guanqing Liu
- Jiangsu Key Laboratory of Crop Genomics and Molecular Breeding/Jiangsu Key Laboratory of Crop Genetics and Physiology/Jiangsu Co-Innovation Center for Modern Production Technology of Grain Crops, Agricultural College of Yangzhou University, Yangzhou, 225009, China
- Key Laboratory of Plant Functional Genomics of the Ministry of Education/Joint International Research Laboratory of Agriculture and Agri-Product Safety of Ministry of Education of China, Yangzhou University, Yangzhou, 225009, China
| | - Qi You
- Jiangsu Key Laboratory of Crop Genomics and Molecular Breeding/Jiangsu Key Laboratory of Crop Genetics and Physiology/Jiangsu Co-Innovation Center for Modern Production Technology of Grain Crops, Agricultural College of Yangzhou University, Yangzhou, 225009, China
- Key Laboratory of Plant Functional Genomics of the Ministry of Education/Joint International Research Laboratory of Agriculture and Agri-Product Safety of Ministry of Education of China, Yangzhou University, Yangzhou, 225009, China
| | - Peng Liu
- Institutes of Agricultural Science and Technology Development, Joint International Research Laboratory of Agriculture and Agri-Product Safety, Yangzhou University, Yangzhou, 225009, China
| | - Quanwei Lu
- Anyang Institute of Technology, Anyang, Henan, 455000, China
- Research Base, Anyang Institute of Technology, State Key Laboratory of Cotton Biology, Anyang, Henan, 455000, China
| | - Pengtao Li
- Anyang Institute of Technology, Anyang, Henan, 455000, China
- Research Base, Anyang Institute of Technology, State Key Laboratory of Cotton Biology, Anyang, Henan, 455000, China
| | - Shulin Zhang
- Anyang Institute of Technology, Anyang, Henan, 455000, China
- Research Base, Anyang Institute of Technology, State Key Laboratory of Cotton Biology, Anyang, Henan, 455000, China
| | - Nan Hu
- Anyang Institute of Technology, Anyang, Henan, 455000, China
- Research Base, Anyang Institute of Technology, State Key Laboratory of Cotton Biology, Anyang, Henan, 455000, China
| | - Yangshuo Han
- Jiangsu Key Laboratory of Crop Genomics and Molecular Breeding/Jiangsu Key Laboratory of Crop Genetics and Physiology/Jiangsu Co-Innovation Center for Modern Production Technology of Grain Crops, Agricultural College of Yangzhou University, Yangzhou, 225009, China
- Key Laboratory of Plant Functional Genomics of the Ministry of Education/Joint International Research Laboratory of Agriculture and Agri-Product Safety of Ministry of Education of China, Yangzhou University, Yangzhou, 225009, China
| | - Shuo Liu
- Jiangsu Key Laboratory of Crop Genomics and Molecular Breeding/Jiangsu Key Laboratory of Crop Genetics and Physiology/Jiangsu Co-Innovation Center for Modern Production Technology of Grain Crops, Agricultural College of Yangzhou University, Yangzhou, 225009, China
- Key Laboratory of Plant Functional Genomics of the Ministry of Education/Joint International Research Laboratory of Agriculture and Agri-Product Safety of Ministry of Education of China, Yangzhou University, Yangzhou, 225009, China
| | - Yuechao Wu
- Jiangsu Key Laboratory of Crop Genomics and Molecular Breeding/Jiangsu Key Laboratory of Crop Genetics and Physiology/Jiangsu Co-Innovation Center for Modern Production Technology of Grain Crops, Agricultural College of Yangzhou University, Yangzhou, 225009, China
- Key Laboratory of Plant Functional Genomics of the Ministry of Education/Joint International Research Laboratory of Agriculture and Agri-Product Safety of Ministry of Education of China, Yangzhou University, Yangzhou, 225009, China
| | - Qingqing Yang
- Jiangsu Key Laboratory of Crop Genomics and Molecular Breeding/Jiangsu Key Laboratory of Crop Genetics and Physiology/Jiangsu Co-Innovation Center for Modern Production Technology of Grain Crops, Agricultural College of Yangzhou University, Yangzhou, 225009, China
- Key Laboratory of Plant Functional Genomics of the Ministry of Education/Joint International Research Laboratory of Agriculture and Agri-Product Safety of Ministry of Education of China, Yangzhou University, Yangzhou, 225009, China
| | - Zhaoguo Li
- Anyang Institute of Technology, Anyang, Henan, 455000, China
- Zhengzhou University, Zhengzhou, Henan, 450001, China
| | - Guowei Ao
- Anyang Institute of Technology, Anyang, Henan, 455000, China
| | - Fang Liu
- Research Base, Anyang Institute of Technology, State Key Laboratory of Cotton Biology, Anyang, Henan, 455000, China
| | - Kunbo Wang
- Research Base, Anyang Institute of Technology, State Key Laboratory of Cotton Biology, Anyang, Henan, 455000, China
| | - Jiming Jiang
- Department of Plant Biology, Michigan State University, East Lansing, MI, USA
- Department of Horticulture, Michigan State University, East Lansing, MI, USA
- Michigan State University AgBioResearch, East Lansing, MI, USA
| | - Tao Zhang
- Jiangsu Key Laboratory of Crop Genomics and Molecular Breeding/Jiangsu Key Laboratory of Crop Genetics and Physiology/Jiangsu Co-Innovation Center for Modern Production Technology of Grain Crops, Agricultural College of Yangzhou University, Yangzhou, 225009, China.
- Key Laboratory of Plant Functional Genomics of the Ministry of Education/Joint International Research Laboratory of Agriculture and Agri-Product Safety of Ministry of Education of China, Yangzhou University, Yangzhou, 225009, China.
| | - Wenli Zhang
- National Key Laboratory for Crop Genetics and Germplasm Enhancement and Utilization, Collaborative Innovation Center for Modern Crop Production Co-Sponsored By Province and Ministry (CIC-MCP), Nanjing Agricultural University, No.1 Weigang, Nanjing, 210095, Jiangsu, China.
| | - Renhai Peng
- Anyang Institute of Technology, Anyang, Henan, 455000, China.
- Research Base, Anyang Institute of Technology, State Key Laboratory of Cotton Biology, Anyang, Henan, 455000, China.
- Zhengzhou University, Zhengzhou, Henan, 450001, China.
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Ouyang K, Liang Q, Miao L, Zhang Z, Li Z. Genome-wide mapping of DNase I hypersensitive sites in pineapple leaves. Front Genet 2023; 14:1086554. [PMID: 37470036 PMCID: PMC10352800 DOI: 10.3389/fgene.2023.1086554] [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: 11/01/2022] [Accepted: 06/21/2023] [Indexed: 07/21/2023] Open
Abstract
Pineapple [Ananas comosus (L.) Merr.] is the most economically important crop possessing crassulacean acid metabolism (CAM) photosynthesis which has a higher water use efficiency by control of nocturnal opening and diurnal closure of stomata. To provide novel insights into the diel regulatory landscape in pineapple leaves, we performed genome-wide mapping of DNase I hypersensitive sites (DHSs) in pineapple leaves at day (2a.m.) and night (10a.m.) using a simplified DNase-seq method. As a result, totally 33340 and 28753 DHSs were found in green-tip tissue, and 29597 and 40068 were identified in white-base tissue at 2a.m. and 10a.m., respectively. We observed that majority of the pineapple genes occupied less than two DHSs with length shorter than 1 kb, and the promotor DHSs showed a proximal trend to the transcription start site (>77% promotor DHSs within 1 kb). In addition, more intergenic DHSs were identified around transcription factors or transcription co-regulators (TFs/TCs) than other functional genes, indicating complex regulatory contexts around TFs/TCs. Through combined analysis of tissue preferential DHSs and genes, we respectively found 839 and 888 coordinately changed genes in green-tip at 2a.m. and 10a.m. (AcG2 and AcG10). Furthermore, AcG2-specific, AcG10-specific and common accessible DHSs were dissected from the total photosynthetic preferential DHSs, and the regulatory networks indicated dynamic regulations with multiple cis-regulatory elements occurred to genes preferentially expressed in photosynthetic tissues. Interestingly, binding motifs of several cycling TFs were identified in the DHSs of key CAM genes, revealing a circadian regulation to CAM coordinately diurnal expression. Our results provide a chromatin regulatory landscape in pineapple leaves during the day and night. This will provide important information to assist with deciphering the circadian regulation of CAM photosynthesis.
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Affiliation(s)
- Kai Ouyang
- Key Laboratory of Genetics, Breeding and Multiple Utilization of Crops, Ministry of Education, Key Laboratory of Biological Breeding for Fujian and Taiwan Crops, Ministry of Agriculture and Rural Affairs, Fujian Provincial Key Laboratory of Haixia Applied Plant Systems Biology, Center for Genomics and Biotechnology, Fujian Agriculture and Forestry University, Fuzhou, China
| | - Qifu Liang
- Fujian Key Laboratory of Agro-Products Quality and Safety, Institute of Quality Standards and Testing Technology for Agro-Products, Fujian Academy of Agricultural Sciences, Fuzhou, Fujian, China
| | - Li Miao
- Key Laboratory of Genetics, Breeding and Multiple Utilization of Crops, Ministry of Education, Key Laboratory of Biological Breeding for Fujian and Taiwan Crops, Ministry of Agriculture and Rural Affairs, Fujian Provincial Key Laboratory of Haixia Applied Plant Systems Biology, Center for Genomics and Biotechnology, Fujian Agriculture and Forestry University, Fuzhou, China
| | - Zhiliang Zhang
- Key Laboratory of Genetics, Breeding and Multiple Utilization of Crops, Ministry of Education, Key Laboratory of Biological Breeding for Fujian and Taiwan Crops, Ministry of Agriculture and Rural Affairs, Fujian Provincial Key Laboratory of Haixia Applied Plant Systems Biology, Center for Genomics and Biotechnology, Fujian Agriculture and Forestry University, Fuzhou, China
- State Key Laboratory of Plant Cell and Chromosome Engineering, Institute of Genetics and Developmental Biology, Innovative Academy for Seed Design, Chinese Academy of Sciences, Beijing, China
| | - Zhanjie Li
- Key Laboratory of Genetics, Breeding and Multiple Utilization of Crops, Ministry of Education, Key Laboratory of Biological Breeding for Fujian and Taiwan Crops, Ministry of Agriculture and Rural Affairs, Fujian Provincial Key Laboratory of Haixia Applied Plant Systems Biology, Center for Genomics and Biotechnology, Fujian Agriculture and Forestry University, Fuzhou, China
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4
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Tang X, Zheng P, Liu Y, Yao Y, Huang G. LangMoDHS: A deep learning language model for predicting DNase I hypersensitive sites in mouse genome. MATHEMATICAL BIOSCIENCES AND ENGINEERING : MBE 2023; 20:1037-1057. [PMID: 36650801 DOI: 10.3934/mbe.2023048] [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: 06/17/2023]
Abstract
DNase I hypersensitive sites (DHSs) are a specific genomic region, which is critical to detect or understand cis-regulatory elements. Although there are many methods developed to detect DHSs, there is a big gap in practice. We presented a deep learning-based language model for predicting DHSs, named LangMoDHS. The LangMoDHS mainly comprised the convolutional neural network (CNN), the bi-directional long short-term memory (Bi-LSTM) and the feed-forward attention. The CNN and the Bi-LSTM were stacked in a parallel manner, which was helpful to accumulate multiple-view representations from primary DNA sequences. We conducted 5-fold cross-validations and independent tests over 14 tissues and 4 developmental stages. The empirical experiments showed that the LangMoDHS is competitive with or slightly better than the iDHS-Deep, which is the latest method for predicting DHSs. The empirical experiments also implied substantial contribution of the CNN, Bi-LSTM, and attention to DHSs prediction. We implemented the LangMoDHS as a user-friendly web server which is accessible at http:/www.biolscience.cn/LangMoDHS/. We used indices related to information entropy to explore the sequence motif of DHSs. The analysis provided a certain insight into the DHSs.
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Affiliation(s)
- Xingyu Tang
- School of Electrical Engineering, Shaoyang University, Shaoyang 422000, China
| | - Peijie Zheng
- School of Electrical Engineering, Shaoyang University, Shaoyang 422000, China
| | - Yuewu Liu
- College of Information and Intelligence, Hunan Agricultural University, Changsha 410128, China
| | - Yuhua Yao
- School of Mathematics and Statistics, Hainan Normal University, Haikou 571158, China
| | - Guohua Huang
- School of Electrical Engineering, Shaoyang University, Shaoyang 422000, China
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5
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Thakur RK, Prasad P, Bhardwaj SC, Gangwar OP, Kumar S. Epigenetics of wheat-rust interaction: an update. PLANTA 2022; 255:50. [PMID: 35084577 DOI: 10.1007/s00425-022-03829-y] [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: 10/29/2021] [Accepted: 01/08/2022] [Indexed: 06/14/2023]
Abstract
The outcome of different host-pathogen interactions is influenced by both genetic and epigenetic systems, which determine the response of plants to pathogens and vice versa. This review highlights key molecular mechanisms and conceptual advances involved in epigenetic research and the progress made in epigenetics of wheat-rust interactions. Epigenetics implies the heritable changes in the way of gene expression as a consequence of the modification of DNA bases, histone proteins, and/or non-coding-RNA biogenesis without disturbing the underlying nucleotide sequence. The changes occurring between DNA and its surrounding chromatin without altering its DNA sequence and leading to significant changes in the genome of any organism are called epigenetic changes. Epigenetics has already been used successfully to explain the mechanism of human pathogens and in the identification of pathogen-induced modifications within various host plants. Wheat rusts are one of the most vital fungal diseases throughout the major wheat-growing areas of the world. The epigenome in plant pathogens causing diseases such as wheat rusts is mysterious. The investigations of host and pathogen epigenetics in the wheat rusts system can offer a piece of suitable evidence for elucidation of the molecular basis of host-pathogen interaction. Besides, the information on the epigenetic regulation of the genes involved in resistance or pathogenicity will provide better insights into the complex resistance signaling pathways and could provide answers to certain key questions, such as whether epigenetic regulation of certain genes is imparting resistance to host in response of certain pathogen elicitors or not. In the last few years, there has been an upsurge in research on the host as well as pathogen epigenetics and its outcome in plant-pathogen interactions. This review summarizes the progress made in the areas related to the epigenetic control of host-pathogen interaction with particular emphasis on wheat rusts.
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Affiliation(s)
- Rajni Kant Thakur
- ICAR-Indian Institute of Wheat and Barley Research, Regional Station, Shimla, Himachal Pradesh, 171002, India
| | - Pramod Prasad
- ICAR-Indian Institute of Wheat and Barley Research, Regional Station, Shimla, Himachal Pradesh, 171002, India.
| | - S C Bhardwaj
- ICAR-Indian Institute of Wheat and Barley Research, Regional Station, Shimla, Himachal Pradesh, 171002, India.
| | - O P Gangwar
- ICAR-Indian Institute of Wheat and Barley Research, Regional Station, Shimla, Himachal Pradesh, 171002, India
| | - Subodh Kumar
- ICAR-Indian Institute of Wheat and Barley Research, Regional Station, Shimla, Himachal Pradesh, 171002, India
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6
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Abstract
DNase I hypersensitive site (DHS) mapping combined with high-throughput sequencing (DNase-seq) enables the identification of cis-regulatory DNA elements (CREs) genome wide. However, despite the wide applications of DNase-seq in plants, its application to the highly repetitive genomes of plants has lagged. Here, we describe a modified DNase-seq method, making it more practical for application to plants with genomes enriched with repetitive DNA. This approach adopts a double-hit-based strategy, in which small (<250-bp) DNA fragments digested by DNase I are selected and used for sequencing library construction. Using these protocols, we have conducted DNase-seq in plants with high content of repetitive DNA, including maize, sugarcane, and tetraploid cotton. Genome-wide maps of DHS and CREs have been created using these DNase-seq datasets. © 2021 Wiley Periodicals LLC. Basic Protocol 1: Nuclei isolation Basic Protocol 2: DNase I digestion Basic Protocol 3: Target DNA isolation Basic Protocol 4: Library construction and validation.
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Affiliation(s)
- Yankun Wang
- Key Laboratory of Genetics, Breeding and Multiple Utilization of Crops (MOE), Fujian Agriculture and Forestry University, Fuzhou, China
| | - Kai Wang
- School of Life Science, Nantong University, Nantong, China.,Key Laboratory of Genetics, Breeding and Multiple Utilization of Crops (MOE), Fujian Agriculture and Forestry University, Fuzhou, China
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7
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Han J, Wang P, Wang Q, Lin Q, Chen Z, Yu G, Miao C, Dao Y, Wu R, Schnable JC, Tang H, Wang K. Genome-Wide Characterization of DNase I-Hypersensitive Sites and Cold Response Regulatory Landscapes in Grasses. THE PLANT CELL 2020; 32:2457-2473. [PMID: 32471863 PMCID: PMC7401015 DOI: 10.1105/tpc.19.00716] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 09/16/2019] [Revised: 05/11/2020] [Accepted: 05/23/2020] [Indexed: 05/05/2023]
Abstract
Deep sequencing of DNase-I treated chromatin (DNase-seq) can be used to identify DNase I-hypersensitive sites (DHSs) and facilitates genome-scale mining of de novo cis-regulatory DNA elements. Here, we adapted DNase-seq to generate genome-wide maps of DHSs using control and cold-treated leaf, stem, and root tissues of three widely studied grass species: Brachypodium distachyon, foxtail millet (Setaria italica), and sorghum (Sorghum bicolor). Functional validation demonstrated that 12 of 15 DHSs drove reporter gene expression in transiently transgenic B. distachyon protoplasts. DHSs under both normal and cold treatment substantially differed among tissues and species. Intriguingly, the putative DHS-derived transcription factors (TFs) are largely colocated among tissues and species and include 17 ubiquitous motifs covering all grass taxa and all tissues examined in this study. This feature allowed us to reconstruct a regulatory network that responds to cold stress. Ethylene-responsive TFs SHINE3, ERF2, and ERF9 occurred frequently in cold feedback loops in the tissues examined, pointing to their possible roles in the regulatory network. Overall, we provide experimental annotation of 322,713 DHSs and 93 derived cold-response TF binding motifs in multiple grasses, which could serve as a valuable resource for elucidating the transcriptional networks that function in the cold-stress response and other physiological processes.
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Affiliation(s)
- Jinlei Han
- Key Laboratory of Genetics, Breeding, and Multiple Utilization of Crops, Ministry of Education, Fujian Provincial Key Laboratory of Haixia Applied Plant Systems Biology, Center for Genomics and Biotechnology, Fujian Agriculture and Forestry University, 350002 Fuzhou, China
| | - Pengxi Wang
- Key Laboratory of Genetics, Breeding, and Multiple Utilization of Crops, Ministry of Education, Fujian Provincial Key Laboratory of Haixia Applied Plant Systems Biology, Center for Genomics and Biotechnology, Fujian Agriculture and Forestry University, 350002 Fuzhou, China
| | - Qiongli Wang
- Key Laboratory of Genetics, Breeding, and Multiple Utilization of Crops, Ministry of Education, Fujian Provincial Key Laboratory of Haixia Applied Plant Systems Biology, Center for Genomics and Biotechnology, Fujian Agriculture and Forestry University, 350002 Fuzhou, China
| | - Qingfang Lin
- Key Laboratory of Genetics, Breeding, and Multiple Utilization of Crops, Ministry of Education, Fujian Provincial Key Laboratory of Haixia Applied Plant Systems Biology, Center for Genomics and Biotechnology, Fujian Agriculture and Forestry University, 350002 Fuzhou, China
| | - Zhiyong Chen
- Key Laboratory of Genetics, Breeding, and Multiple Utilization of Crops, Ministry of Education, Fujian Provincial Key Laboratory of Haixia Applied Plant Systems Biology, Center for Genomics and Biotechnology, Fujian Agriculture and Forestry University, 350002 Fuzhou, China
| | - Guangrun Yu
- Key Laboratory of Genetics, Breeding, and Multiple Utilization of Crops, Ministry of Education, Fujian Provincial Key Laboratory of Haixia Applied Plant Systems Biology, Center for Genomics and Biotechnology, Fujian Agriculture and Forestry University, 350002 Fuzhou, China
| | - Chenyong Miao
- Center for Plant Science Innovation, University of Nebraska, Lincoln, Nebraska 68588
| | - Yihang Dao
- Key Laboratory of Genetics, Breeding, and Multiple Utilization of Crops, Ministry of Education, Fujian Provincial Key Laboratory of Haixia Applied Plant Systems Biology, Center for Genomics and Biotechnology, Fujian Agriculture and Forestry University, 350002 Fuzhou, China
| | - Ruoxi Wu
- Key Laboratory of Genetics, Breeding, and Multiple Utilization of Crops, Ministry of Education, Fujian Provincial Key Laboratory of Haixia Applied Plant Systems Biology, Center for Genomics and Biotechnology, Fujian Agriculture and Forestry University, 350002 Fuzhou, China
| | - James C Schnable
- Center for Plant Science Innovation, University of Nebraska, Lincoln, Nebraska 68588
| | - Haibao Tang
- Key Laboratory of Genetics, Breeding, and Multiple Utilization of Crops, Ministry of Education, Fujian Provincial Key Laboratory of Haixia Applied Plant Systems Biology, Center for Genomics and Biotechnology, Fujian Agriculture and Forestry University, 350002 Fuzhou, China
| | - Kai Wang
- Key Laboratory of Genetics, Breeding, and Multiple Utilization of Crops, Ministry of Education, Fujian Provincial Key Laboratory of Haixia Applied Plant Systems Biology, Center for Genomics and Biotechnology, Fujian Agriculture and Forestry University, 350002 Fuzhou, China
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8
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Lu Y, Zhou DX, Zhao Y. Understanding epigenomics based on the rice model. TAG. THEORETICAL AND APPLIED GENETICS. THEORETISCHE UND ANGEWANDTE GENETIK 2020; 133:1345-1363. [PMID: 31897514 DOI: 10.1007/s00122-019-03518-7] [Citation(s) in RCA: 14] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 08/27/2019] [Accepted: 12/18/2019] [Indexed: 05/26/2023]
Abstract
The purpose of this paper provides a comprehensive overview of the recent researches on rice epigenomics, including DNA methylation, histone modifications, noncoding RNAs, and three-dimensional genomics. The challenges and perspectives for future research in rice are discussed. Rice as a model plant for epigenomic studies has much progressed current understanding of epigenetics in plants. Recent results on rice epigenome profiling and three-dimensional chromatin structure studies reveal specific features and implication in gene regulation during rice plant development and adaptation to environmental changes. Results on rice chromatin regulator functions shed light on mechanisms of establishment, recognition, and resetting of epigenomic information in plants. Cloning of several rice epialleles associated with important agronomic traits highlights importance of epigenomic variation in rice plant growth, fitness, and yield. In this review, we summarize and analyze recent advances in rice epigenomics and discuss challenges and directions for future research in the field.
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Affiliation(s)
- Yue Lu
- National Key Laboratory of Crop Genetic Improvement, Huazhong Agricultural University, Wuhan, 430070, China
| | - Dao-Xiu Zhou
- National Key Laboratory of Crop Genetic Improvement, Huazhong Agricultural University, Wuhan, 430070, China
- Institute of Plant Science of Paris-Saclay (IPS2), CNRS, INRA, University Paris-Sud, University Paris-Saclay, 91405, Orsay, France
| | - Yu Zhao
- National Key Laboratory of Crop Genetic Improvement, Huazhong Agricultural University, Wuhan, 430070, China.
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9
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Formaldehyde-assisted isolation of regulatory DNA elements from Arabidopsis leaves. Nat Protoc 2020; 15:713-733. [PMID: 32042178 DOI: 10.1038/s41596-019-0277-9] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/09/2018] [Accepted: 12/03/2019] [Indexed: 12/14/2022]
Abstract
Eukaryotic gene transcription is associated with the eviction of nucleosomes and the formation of open chromatin, which enables the recruitment of transcriptional coactivators and other regulatory factors. Open chromatin is thus a hallmark of functional regulatory DNA elements in genomes. In recent years, formaldehyde-assisted isolation of regulatory elements (FAIRE) has proven powerful in identifying open chromatin in the genome of various eukaryotes, particularly yeast, human, and mouse. However, it has proven challenging to adapt the FAIRE protocol for use on plant material, and the few available protocols all have their drawbacks (e.g., applicability only to specific developmental stages). In this Protocol Extension, we describe a reliable FAIRE protocol for mature Arabidopsis (Arabidopsis thaliana) leaves that adapts the original protocol for use on plants. The main differences between this protocol extension and the earlier FAIRE protocol are an increased formaldehyde concentration in the chromatin crosslinking buffer, application of a repeated vacuum to increase crosslinking efficiency, and altered composition of the DNA extraction buffer. The protocol is applicable to leaf chromatin of unstressed and stressed plants and can be completed within 1 week. Here, we also describe downstream analysis using qPCR and next-generation sequencing. However, this Protocol Extension should also be compatible with downstream hybridization to a DNA microarray. In addition, it is likely that only minor adaptations will be necessary to apply this protocol to other Arabidopsis organs or plant species.
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10
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Afamefule C, Raines CA. Insights Into the Regulation of the Expression Pattern of Calvin-Benson-Bassham Cycle Enzymes in C 3 and C 4 Grasses. FRONTIERS IN PLANT SCIENCE 2020; 11:570436. [PMID: 33178241 PMCID: PMC7595957 DOI: 10.3389/fpls.2020.570436] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 06/07/2020] [Accepted: 09/23/2020] [Indexed: 05/15/2023]
Abstract
C4 photosynthesis is characterized by the compartmentalization of the processes of atmospheric uptake of CO2 and its conversion into carbohydrate between mesophyll and bundle-sheath cells. As a result, most of the enzymes participating in the Calvin-Benson-Bassham (CBB) cycle, including RubisCO, are highly expressed in bundle-sheath cells. There is evidence that changes in the regulatory sequences of RubisCO contribute to its bundle-sheath-specific expression, however, little is known about how the spatial-expression pattern of other CBB cycle enzymes is regulated. In this study, we use a computational approach to scan for transcription factor binding sites in the regulatory regions of the genes encoding CBB cycle enzymes, SBPase, FBPase, PRK, and GAPDH-B, of C3 and C4 grasses. We identified potential cis-regulatory elements present in each of the genes studied here, regardless of the photosynthetic path used by the plant. The trans-acting factors that bind these elements have been validated in A. thaliana and might regulate the expression of the genes encoding CBB cycle enzymes. In addition, we also found C4-specific transcription factor binding sites in the genes encoding CBB cycle enzymes that could potentially contribute to the pathway-specific regulation of gene expression. These results provide a foundation for the functional analysis of the differences in regulation of genes encoding CBB cycle enzymes between C3 and C4 grasses.
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11
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Zeng Z, Zhang W, Marand AP, Zhu B, Buell CR, Jiang J. Cold stress induces enhanced chromatin accessibility and bivalent histone modifications H3K4me3 and H3K27me3 of active genes in potato. Genome Biol 2019; 20:123. [PMID: 31208436 PMCID: PMC6580510 DOI: 10.1186/s13059-019-1731-2] [Citation(s) in RCA: 84] [Impact Index Per Article: 16.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/28/2019] [Accepted: 06/05/2019] [Indexed: 02/08/2023] Open
Abstract
BACKGROUND Cold stress can greatly affect plant growth and development. Plants have developed special systems to respond to and tolerate cold stress. While plant scientists have discovered numerous genes involved in responses to cold stress, few studies have been dedicated to investigation of genome-wide chromatin dynamics induced by cold or other abiotic stresses. RESULTS Genomic regions containing active cis-regulatory DNA elements can be identified as DNase I hypersensitive sites (DHSs). We develop high-resolution DHS maps in potato (Solanum tuberosum) using chromatin isolated from tubers stored under room (22 °C) and cold (4 °C) conditions. We find that cold stress induces a large number of DHSs enriched in genic regions which are frequently associated with differential gene expression in response to temperature variation. Surprisingly, active genes show enhanced chromatin accessibility upon cold stress. A large number of active genes in cold-stored tubers are associated with the bivalent H3K4me3-H3K27me3 mark in gene body regions. Interestingly, upregulated genes associated with the bivalent mark are involved in stress response, whereas downregulated genes with the bivalent mark are involved in developmental processes. In addition, we observe that the bivalent mark-associated genes are more accessible than others upon cold stress. CONCLUSIONS Collectively, our results suggest that cold stress induces enhanced chromatin accessibility and bivalent histone modifications of active genes. We hypothesize that in cold-stored tubers, the bivalent H3K4me3-H3K27me3 mark represents a distinct chromatin environment with greater accessibility, which may facilitate the access of regulatory proteins required for gene upregulation or downregulation in response to cold stress.
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Affiliation(s)
- Zixian Zeng
- Department of Horticulture, University of Wisconsin-Madison, Madison, WI, 53706, USA
- Department of Plant Biology, Michigan State University, East Lansing, MI, 48824, USA
- Department of Horticulture, Michigan State University, East Lansing, MI, 48824, USA
- Department of Biological Science, College of Life Sciences, Sichuan Normal University, Chengdu, 610101, Sichuan, China
| | - Wenli Zhang
- Department of Horticulture, University of Wisconsin-Madison, Madison, WI, 53706, USA
- State Key Laboratory for Crop Genetics and Germplasm Enhancement, Nanjing Agriculture University, Nanjing, 210095, Jiangsu, China
| | - Alexandre P Marand
- Department of Horticulture, University of Wisconsin-Madison, Madison, WI, 53706, USA
| | - Bo Zhu
- Department of Biological Science, College of Life Sciences, Sichuan Normal University, Chengdu, 610101, Sichuan, China
| | - C Robin Buell
- Department of Plant Biology, Michigan State University, East Lansing, MI, 48824, USA
- Michigan State University AgBioResearch, East Lansing, MI, 48824, USA
| | - Jiming Jiang
- Department of Horticulture, University of Wisconsin-Madison, Madison, WI, 53706, USA.
- 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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12
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Abstract
Our understanding of the epigenetic mechanisms that regulate gene expression has been largely increased in recent years by the development and refinement of different techniques. This has revealed that gene transcription is highly influenced by epigenetic mechanisms, i.e., those that do not involve changes in the genome sequence, but rather in nuclear architecture, chromosome conformation and histone and DNA modifications. Our understanding of how these different levels of epigenetic regulation interact with each other and with classical transcription-factor based gene regulation to influence gene transcription has just started to emerge. This review discusses the latest advances in unraveling the complex interactions between different types of epigenetic regulation and transcription factor activity, with special attention to the approaches that can be used to study these interactions.
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Affiliation(s)
- Marian Bemer
- Department of Molecular Biology, Wageningen University & Research, Droevendaalsesteeg 1, 6708, PB, Wageningen, The Netherlands.
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13
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Wang M, Tu L, Lin M, Lin Z, Wang P, Yang Q, Ye Z, Shen C, Li J, Zhang L, Zhou X, Nie X, Li Z, Guo K, Ma Y, Huang C, Jin S, Zhu L, Yang X, Min L, Yuan D, Zhang Q, Lindsey K, Zhang X. Asymmetric subgenome selection and cis-regulatory divergence during cotton domestication. Nat Genet 2017; 49:579-587. [PMID: 28263319 DOI: 10.1038/ng.3807] [Citation(s) in RCA: 269] [Impact Index Per Article: 38.4] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/04/2016] [Accepted: 02/10/2017] [Indexed: 12/16/2022]
Abstract
Comparative population genomics offers an excellent opportunity for unraveling the genetic history of crop domestication. Upland cotton (Gossypium hirsutum) has long been an important economic crop, but a genome-wide and evolutionary understanding of the effects of human selection is lacking. Here, we describe a variation map for 352 wild and domesticated cotton accessions. We scanned 93 domestication sweeps occupying 74 Mb of the A subgenome and 104 Mb of the D subgenome, and identified 19 candidate loci for fiber-quality-related traits through a genome-wide association study. We provide evidence showing asymmetric subgenome domestication for directional selection of long fibers. Global analyses of DNase I-hypersensitive sites and 3D genome architecture, linking functional variants to gene transcription, demonstrate the effects of domestication on cis-regulatory divergence. This study provides new insights into the evolution of gene organization, regulation and adaptation in a major crop, and should serve as a rich resource for genome-based cotton improvement.
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Affiliation(s)
- Maojun Wang
- National Key Laboratory of Crop Genetic Improvement, Huazhong Agricultural University, Wuhan, China
| | - Lili Tu
- National Key Laboratory of Crop Genetic Improvement, Huazhong Agricultural University, Wuhan, China
| | - Min Lin
- National Key Laboratory of Crop Genetic Improvement, Huazhong Agricultural University, Wuhan, China.,Hubei Key Laboratory of Agricultural Bioinformatics, College of Informatics, Huazhong Agricultural University, Wuhan, China
| | - Zhongxu Lin
- National Key Laboratory of Crop Genetic Improvement, Huazhong Agricultural University, Wuhan, China
| | - Pengcheng Wang
- National Key Laboratory of Crop Genetic Improvement, Huazhong Agricultural University, Wuhan, China
| | - Qingyong Yang
- National Key Laboratory of Crop Genetic Improvement, Huazhong Agricultural University, Wuhan, China.,Hubei Key Laboratory of Agricultural Bioinformatics, College of Informatics, Huazhong Agricultural University, Wuhan, China
| | - Zhengxiu Ye
- National Key Laboratory of Crop Genetic Improvement, Huazhong Agricultural University, Wuhan, China
| | - Chao Shen
- National Key Laboratory of Crop Genetic Improvement, Huazhong Agricultural University, Wuhan, China
| | - Jianying Li
- National Key Laboratory of Crop Genetic Improvement, Huazhong Agricultural University, Wuhan, China
| | - Lin Zhang
- National Key Laboratory of Crop Genetic Improvement, Huazhong Agricultural University, Wuhan, China
| | - Xiaolin Zhou
- National Key Laboratory of Crop Genetic Improvement, Huazhong Agricultural University, Wuhan, China
| | - Xinhui Nie
- Key Laboratory of Oasis Eco-agriculture of the Xinjiang Production and Construction Corps, College of Agronomy, Shihezi University, Shihezi, China
| | - Zhonghua Li
- National Key Laboratory of Crop Genetic Improvement, Huazhong Agricultural University, Wuhan, China
| | - Kai Guo
- National Key Laboratory of Crop Genetic Improvement, Huazhong Agricultural University, Wuhan, China
| | - Yizan Ma
- National Key Laboratory of Crop Genetic Improvement, Huazhong Agricultural University, Wuhan, China
| | - Cong Huang
- National Key Laboratory of Crop Genetic Improvement, Huazhong Agricultural University, Wuhan, China
| | - Shuangxia Jin
- National Key Laboratory of Crop Genetic Improvement, Huazhong Agricultural University, Wuhan, China
| | - Longfu Zhu
- National Key Laboratory of Crop Genetic Improvement, Huazhong Agricultural University, Wuhan, China
| | - Xiyan Yang
- College of Plant Science and Technology, Huazhong Agricultural University, Wuhan, China
| | - Ling Min
- College of Plant Science and Technology, Huazhong Agricultural University, Wuhan, China
| | - Daojun Yuan
- College of Plant Science and Technology, Huazhong Agricultural University, Wuhan, China
| | - Qinghua Zhang
- National Key Laboratory of Crop Genetic Improvement, Huazhong Agricultural University, Wuhan, China
| | - Keith Lindsey
- Department of Biosciences, Durham University, Durham, UK
| | - Xianlong Zhang
- National Key Laboratory of Crop Genetic Improvement, Huazhong Agricultural University, Wuhan, China
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14
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Bordiya Y, Kang HG. Genome-Wide Analysis of Chromatin Accessibility in Arabidopsis Infected with Pseudomonas syringae. Methods Mol Biol 2017; 1578:263-272. [PMID: 28220432 DOI: 10.1007/978-1-4939-6859-6_22] [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: 06/06/2023]
Abstract
Changes in chromatin accessibility are an important aspect of the molecular changes that occur in eukaryotic cells responding to stress, and they appear to play a critical role in stress-induced transcriptional activation/reprogramming and epigenetic changes. In plants, pathogen infection has been shown to induce rapid and drastic transcriptional reprogramming; growing evidence suggests that chromatin remodeling plays an essential role in this phenomenon. The recent development of genomic tools to assess chromatin accessibility presents a significant opportunity to investigate the relationship between chromatin dynamicity and gene expression. In this protocol, we have adopted a popular chromatin accessibility assay, DNase-seq, to measure chromatin accessibility in Arabidopsis infected with the bacterial pathogen Pseudomonas syringae pv. tomato (Pst). DNase-seq provides information on chromatin accessibility through the sequencing of DNA fragments generated by DNase I digestion of open chromatin, followed by mapping these sequences on a reference genome. Of the two popular DNase-seq approaches, we based our method on the Stamatoyannopoulos protocol, which involves two DNase cleavages rather than a single cleavage, followed by size fractionation. Please note that this two-cleavage approach is widely accepted and has been used extensively by ENCODE (Encyclopedia of DNA Elements) project, a public research consortium investigating cis- and trans-elements in the transcriptional regulation in animal cells. To enhance the quality of the chromatin accessibility assay, we modified this protocol by including two centrifugation steps for nuclear enrichment and size fractionation and an extra washing step for removal of chloroplasts and Pst. The outcomes obtained by this approach are also discussed.
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Affiliation(s)
- Yogendra Bordiya
- Department of Biology, Texas State University, 601 University Dr., San Marcos, TX, 78748, USA
| | - Hong-Gu Kang
- Department of Biology, Texas State University, 601 University Dr., San Marcos, TX, 78748, USA.
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15
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Qiu Z, Li R, Zhang S, Wang K, Xu M, Li J, Du Y, Yu H, Cui X. Identification of Regulatory DNA Elements Using Genome-wide Mapping of DNase I Hypersensitive Sites during Tomato Fruit Development. MOLECULAR PLANT 2016; 9:1168-1182. [PMID: 27250572 DOI: 10.1016/j.molp.2016.05.013] [Citation(s) in RCA: 15] [Impact Index Per Article: 1.9] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 01/07/2016] [Revised: 05/10/2016] [Accepted: 05/23/2016] [Indexed: 05/29/2023]
Abstract
Development and ripening of tomato fruit are precisely controlled by transcriptional regulation, which depends on the orchestrated accessibility of regulatory proteins to promoters and other cis-regulatory DNA elements. This accessibility and its effect on gene expression play a major role in defining the developmental process. To understand the regulatory mechanism and functional elements modulating morphological and anatomical changes during fruit development, we generated genome-wide high-resolution maps of DNase I hypersensitive sites (DHSs) from the fruit tissues of the tomato cultivar "Moneymaker" at 20 days post anthesis as well as break stage. By exploring variation of DHSs across fruit development stages, we pinpointed the most likely hypersensitive sites related to development-specific genes. By detecting binding motifs on DHSs of these development-specific genes or genes in the ascorbic acid biosynthetic pathway, we revealed the common regulatory elements contributing to coordinating gene transcription of plant ripening and specialized metabolic pathways. Our results contribute to a better understanding of the regulatory dynamics of genes involved in tomato fruit development and ripening.
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Affiliation(s)
- Zhengkun Qiu
- Key Laboratory of Biology and Genetic Improvement of Horticultural Crops of the Ministry of Agriculture, Sino-Dutch Joint Laboratory of Horticultural Genomics, Institute of Vegetables and Flowers, Chinese Academy of Agricultural Sciences, Beijing 100081, China
| | - Ren Li
- Key Laboratory of Biology and Genetic Improvement of Horticultural Crops of the Ministry of Agriculture, Sino-Dutch Joint Laboratory of Horticultural Genomics, Institute of Vegetables and Flowers, Chinese Academy of Agricultural Sciences, Beijing 100081, China
| | - Shuaibin Zhang
- Key Laboratory of Biology and Genetic Improvement of Horticultural Crops of the Ministry of Agriculture, Sino-Dutch Joint Laboratory of Horticultural Genomics, Institute of Vegetables and Flowers, Chinese Academy of Agricultural Sciences, Beijing 100081, China
| | - Ketao Wang
- Key Laboratory of Biology and Genetic Improvement of Horticultural Crops of the Ministry of Agriculture, Sino-Dutch Joint Laboratory of Horticultural Genomics, Institute of Vegetables and Flowers, Chinese Academy of Agricultural Sciences, Beijing 100081, China
| | - Meng Xu
- Key Laboratory of Biology and Genetic Improvement of Horticultural Crops of the Ministry of Agriculture, Sino-Dutch Joint Laboratory of Horticultural Genomics, Institute of Vegetables and Flowers, Chinese Academy of Agricultural Sciences, Beijing 100081, China
| | - Jiayang Li
- State Key Laboratory of Plant Genomics and National Center for Plant Gene Research (Beijing), Institute of Genetics and Developmental Biology, Chinese Academy of Sciences, Beijing 100101, China
| | - Yongchen Du
- Key Laboratory of Biology and Genetic Improvement of Horticultural Crops of the Ministry of Agriculture, Sino-Dutch Joint Laboratory of Horticultural Genomics, Institute of Vegetables and Flowers, Chinese Academy of Agricultural Sciences, Beijing 100081, China.
| | - Hong Yu
- State Key Laboratory of Plant Genomics and National Center for Plant Gene Research (Beijing), Institute of Genetics and Developmental Biology, Chinese Academy of Sciences, Beijing 100101, China.
| | - Xia Cui
- Key Laboratory of Biology and Genetic Improvement of Horticultural Crops of the Ministry of Agriculture, Sino-Dutch Joint Laboratory of Horticultural Genomics, Institute of Vegetables and Flowers, Chinese Academy of Agricultural Sciences, Beijing 100081, China.
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16
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Marand AP, Zhang T, Zhu B, Jiang J. Towards genome-wide prediction and characterization of enhancers in plants. BIOCHIMICA ET BIOPHYSICA ACTA-GENE REGULATORY MECHANISMS 2016; 1860:131-139. [PMID: 27321818 DOI: 10.1016/j.bbagrm.2016.06.006] [Citation(s) in RCA: 32] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 04/12/2016] [Revised: 06/13/2016] [Accepted: 06/14/2016] [Indexed: 11/19/2022]
Abstract
Enhancers are important cis-regulatory DNA elements that regulate transcription programs by recruiting transcription factors and directing them to the promoters of target genes in a cell-type/tissue-specific manner. The expression of a gene can be regulated by one or multiple enhancers at different developmental stages and/or in different tissues. Enhancers are difficult to identify because of their unpredictable positions relative to their cognate promoters. Remarkably, only a handful of enhancers have been identified in plant species largely due to the lack of general approaches for enhancer identification. Extensive genomic and epigenomic research in mammalian species has revealed that the genomic locations of enhancers can be predicted based on the binding sites of transcriptional co-factors and several distinct features associated with open chromatin. Here we review the methodologies used in enhancer prediction in mammalian species. We also review the recent applications of these methodologies in Arabidopsis thaliana and discuss the future directions of enhancer identification in plants. This article is part of a Special Issue entitled: Plant Gene Regulatory Mechanisms and Networks, edited by Dr. Erich Grotewold and Dr. Nathan Springer.
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Affiliation(s)
- Alexandre P Marand
- Department of Horticulture, University of Wisconsin-Madison, Madison, WI 53706, USA
| | - Tao Zhang
- Department of Horticulture, University of Wisconsin-Madison, Madison, WI 53706, USA
| | - Bo Zhu
- Department of Horticulture, University of Wisconsin-Madison, Madison, WI 53706, USA
| | - Jiming Jiang
- Department of Horticulture, University of Wisconsin-Madison, Madison, WI 53706, USA.
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17
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Cumbie JS, Filichkin SA, Megraw M. Improved DNase-seq protocol facilitates high resolution mapping of DNase I hypersensitive sites in roots in Arabidopsis thaliana. PLANT METHODS 2015; 11:42. [PMID: 26339280 PMCID: PMC4558764 DOI: 10.1186/s13007-015-0087-1] [Citation(s) in RCA: 14] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 06/09/2015] [Accepted: 08/21/2015] [Indexed: 05/19/2023]
Abstract
BACKGROUND Identifying cis-regulatory elements is critical in understanding the direct and indirect regulatory mechanisms of gene expression. Current approaches include DNase-seq, a technique that combines sensitivity to the nonspecific endonuclease DNase I with high throughput sequencing to identify regions of regulatory DNA on a genome-wide scale. While this method was originally developed for human cell lines, later adaptations made the processing of plant tissues possible. Challenges still remain in processing recalcitrant tissues that have low DNA content. RESULTS By removing steps requiring the use of gel agarose plugs in DNase-seq, we were able to significantly reduce the time required to perform the protocol by at least 2 days, while also making possible the processing of difficult plant tissues. We refer to this simplified protocol as DNase I SIM (for simplified in-nucleus method). We were able to successfully create DNase-seq libraries for both leaf and root tissues in Arabidopsis using DNase I SIM. CONCLUSION This protocol simplifies and facilitates generation of DNase-seq libraries from plant tissues for high resolution mapping of DNase I hypersensitive sites.
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Affiliation(s)
- Jason S. Cumbie
- />Department of Botany and Plant Pathology, Oregon State University, Corvallis, OR 97331 USA
| | - Sergei A. Filichkin
- />Department of Botany and Plant Pathology, Oregon State University, Corvallis, OR 97331 USA
- />Center for Genome Research and Biocomputing, Oregon State University, 2082 Cordley Hall, Corvallis, OR 97331 USA
| | - Molly Megraw
- />Department of Botany and Plant Pathology, Oregon State University, Corvallis, OR 97331 USA
- />Department of Electrical Engineering and Computer Science, Oregon State University, Corvallis, OR 97331 USA
- />Center for Genome Research and Biocomputing, Oregon State University, 2082 Cordley Hall, Corvallis, OR 97331 USA
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