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Qiao D, Lei W, Mi X, Yang C, Liang S, Li H, Guo Y, Chen J, Fan W, Yan J, Yang W, Zheng W, Jiang T, Yu Y, Chen Z, Wang P. Three-dimensional genomic structure and aroma formation in the tea cultivar 'Qiancha 1'. HORTICULTURE RESEARCH 2025; 12:uhaf064. [PMID: 40291830 PMCID: PMC12023849 DOI: 10.1093/hr/uhaf064] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Grants] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 10/21/2024] [Accepted: 02/17/2025] [Indexed: 04/30/2025]
Affiliation(s)
- Dahe Qiao
- Guizhou Tea Research Institute, Guizhou Academy of Agricultural Sciences, Guiyang, Guizhou 550006, China
- Key Laboratory of Crop Genetic Resources and Germplasm Innovation in Karst Region, Ministry of Agriculture and Rural Affairs, Guiyang, Guizhou 550006, China
| | - Wenlong Lei
- College of Horticulture, Northwest A&F University, Xianyang 712199, China
| | - Xiaozeng Mi
- Guizhou Tea Research Institute, Guizhou Academy of Agricultural Sciences, Guiyang, Guizhou 550006, China
| | - Chun Yang
- Guizhou Tea Research Institute, Guizhou Academy of Agricultural Sciences, Guiyang, Guizhou 550006, China
| | - Sihui Liang
- Guizhou Tea Research Institute, Guizhou Academy of Agricultural Sciences, Guiyang, Guizhou 550006, China
| | - Huike Li
- College of Horticulture, Northwest A&F University, Xianyang 712199, China
| | - Yan Guo
- Guizhou Tea Research Institute, Guizhou Academy of Agricultural Sciences, Guiyang, Guizhou 550006, China
| | - Juan Chen
- Guizhou Tea Research Institute, Guizhou Academy of Agricultural Sciences, Guiyang, Guizhou 550006, China
| | - Wenmin Fan
- College of Horticulture, Northwest A&F University, Xianyang 712199, China
| | - Jiawei Yan
- College of Horticulture, Northwest A&F University, Xianyang 712199, China
| | - Wen Yang
- Guizhou Academy of Agricultural Sciences, Guiyang, Guizhou 550006, China
| | - Wenjia Zheng
- Guizhou Tea Research Institute, Guizhou Academy of Agricultural Sciences, Guiyang, Guizhou 550006, China
| | - Taiming Jiang
- Guizhou Academy of Agricultural Sciences, Guiyang, Guizhou 550006, China
| | - Youben Yu
- College of Horticulture, Northwest A&F University, Xianyang 712199, China
| | - Zhengwu Chen
- Guizhou Tea Research Institute, Guizhou Academy of Agricultural Sciences, Guiyang, Guizhou 550006, China
| | - Pengjie Wang
- College of Horticulture, Northwest A&F University, Xianyang 712199, China
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Wu C, Fan J, Hu D, Sun H, Lu G, Wang Y, Yang Y. The Three-Dimensional Structure of the Genome of the Dark Septate Endophyte Exophiala tremulae and Its Symbiosis Effect on Alpine Meadow Plant Growth. J Fungi (Basel) 2025; 11:246. [PMID: 40278067 PMCID: PMC12028334 DOI: 10.3390/jof11040246] [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: 12/16/2024] [Revised: 02/16/2025] [Accepted: 02/27/2025] [Indexed: 04/26/2025] Open
Abstract
The establishment of artificial grassland is a good pathway for resolving serious social and economic problems in the Qinghai-Tibet Plateau. Some beneficial indigenous microbes may be used to improve productivity in artificial grassland. The genome of the indigenous dark septate fungus, Exophiala tremulae CICC2537, was sequenced and assembled at the chromosome level using the PacBio sequencing platform, with the assistance of the Hi-C technique for scaffolding, and its 3D genome structures were investigated. The genome size of E. tremulae is 51.903848 Mb, and it contains eight chromosomes. A total of 12,277 protein-coding genes were predicted, and 11,932 genes (97.19%) were annotated. As for the distribution of exon and intron number and the distribution of gene GC and CDS GC, E. tremulae showed similar distribution patterns to the other investigated members of the genus Exophiala. The analysis of carbohydrate-active enzymes showed that E. tremulae possesses the greatest number of enzymes with auxiliary activities and the lowest number of enzymes with carbohydrate-binding modules among the investigated fungi. The total number of candidate effector proteins was 3337, out of which cytoplasmic and apoplastic effector proteins made up 3100 and 163, respectively. The whole genome of E. tremulae contained 40 compartment As and 76 compartment Bs, and there was no significant difference in GC content in its compartment As and Bs. The whole genome of E. tremulae was predicted to contain 155 topologically associating domains (TADs), and their average length was 250,000 bp, but there were no significant differences in the numbers of genes and the GC content per bin localized within the boundaries and interiors of TADs. Comparative genome analysis showed that E. tremulae diverged from Exophiala mesophila about 34.1 (30.0-39.1) Myr ago, and from Exophiala calicioides about 85.6 (76.1-90.6) Myr ago. Compared with all the investigated fungi, the numbers of contraction and expansion gene families in the E. tremulae genome were 13 and 89, respectively, and the numbers of contraction and expansion genes were 14 and 670, respectively. Our work provides a basis for the use of the dark septate fungus in alpine artificial grassland and further research into its symbiosis mechanisms, which may improve the growth of plant species used in the Qinghai-Tibet Plateau.
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Affiliation(s)
- Chu Wu
- College of Horticulture & Gardening, Yangtze University, Jingzhou 434025, China; (C.W.); (Y.Y.)
| | - Junjie Fan
- College of Life Science, Yangtze University, Jingzhou 434025, China; (J.F.); (Y.W.)
| | - Die Hu
- College of Horticulture & Gardening, Yangtze University, Jingzhou 434025, China; (C.W.); (Y.Y.)
| | - Honggang Sun
- Research Institute of Subtropical Forestry, Chinese Academy of Forestry, Hangzhou 311400, China;
| | - Guangxin Lu
- College of Agriculture & Animal Husbandry, Qinghai University, Xining 810016, China;
| | - Yun Wang
- College of Life Science, Yangtze University, Jingzhou 434025, China; (J.F.); (Y.W.)
| | - Yujie Yang
- College of Horticulture & Gardening, Yangtze University, Jingzhou 434025, China; (C.W.); (Y.Y.)
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3
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Duan Z, Xu L, Zhou G, Zhu Z, Wang X, Shen Y, Ma X, Tian Z, Fang C. Unlocking soybean potential: genetic resources and omics for breeding. J Genet Genomics 2025:S1673-8527(25)00041-4. [PMID: 39984157 DOI: 10.1016/j.jgg.2025.02.004] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/24/2024] [Revised: 02/11/2025] [Accepted: 02/12/2025] [Indexed: 02/23/2025]
Abstract
Soybean (Glycine max) is a vital foundation of global food security, providing a primary source of high-quality protein and oil for human consumption and animal feed. The rising global population has significantly increased the demand for soybeans, emphasizing the urgency of developing high-yield, stress-tolerant, and nutritionally superior cultivars. The extensive collection of soybean germplasm resources-including wild relatives, landraces, and cultivars-represents a valuable reservoir of genetic diversity critical for breeding advancements. Recent breakthroughs in genomic technologies, particularly high-throughput sequencing and multi-omics approaches, have revolutionized the identification of key genes associated with essential agronomic traits within these resources. These innovations enable precise and strategic utilization of genetic diversity, empowering breeders to integrate traits that improve yield potential, resilience to biotic and abiotic stresses, and nutritional quality. This review highlights the critical role of genetic resources and omics-driven innovations in soybean breeding. It also offers insights into strategies for accelerating the development of elite soybean cultivars to meet the growing demands of global soybean production.
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Affiliation(s)
- Zongbiao Duan
- Yazhouwan National Laboratory, Sanya, Hainan 572000, China
| | - Liangwei Xu
- Yazhouwan National Laboratory, Sanya, Hainan 572000, China
| | - Guoan Zhou
- Yazhouwan National Laboratory, Sanya, Hainan 572000, China; State Key Laboratory of Plant Cell and Chromosome Engineering, Institute of Genetics and Developmental Biology, Chinese Academy of Sciences, Beijing 100101, China
| | - Zhou Zhu
- Yazhouwan National Laboratory, Sanya, Hainan 572000, China
| | - Xudong Wang
- Yazhouwan National Laboratory, Sanya, Hainan 572000, China
| | - Yanting Shen
- Yazhouwan National Laboratory, Sanya, Hainan 572000, China; State Key Laboratory of Plant Cell and Chromosome Engineering, Institute of Genetics and Developmental Biology, Chinese Academy of Sciences, Beijing 100101, China
| | - Xin Ma
- State Key Laboratory of Plant Cell and Chromosome Engineering, Institute of Genetics and Developmental Biology, Chinese Academy of Sciences, Beijing 100101, China
| | - Zhixi Tian
- Yazhouwan National Laboratory, Sanya, Hainan 572000, China; State Key Laboratory of Plant Cell and Chromosome Engineering, Institute of Genetics and Developmental Biology, Chinese Academy of Sciences, Beijing 100101, China.
| | - Chao Fang
- Yazhouwan National Laboratory, Sanya, Hainan 572000, China.
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4
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Tian Z, Nepomuceno AL, Song Q, Stupar RM, Liu B, Kong F, Ma J, Lee SH, Jackson SA. Soybean2035: A decadal vision for soybean functional genomics and breeding. MOLECULAR PLANT 2025; 18:245-271. [PMID: 39772289 DOI: 10.1016/j.molp.2025.01.004] [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: 11/12/2024] [Revised: 12/29/2024] [Accepted: 01/05/2025] [Indexed: 01/31/2025]
Abstract
Soybean, the fourth most important crop in the world, uniquely serves as a source of both plant oil and plant protein for the world's food and animal feed. Although soybean production has increased approximately 13-fold over the past 60 years, the continually growing global population necessitates further increases in soybean production. In the past, especially in the last decade, significant progress has been made in both functional genomics and molecular breeding. However, many more challenges should be overcome to meet the anticipated future demand. Here, we summarize past achievements in the areas of soybean omics, functional genomics, and molecular breeding. Furthermore, we analyze trends in these areas, including shortages and challenges, and propose new directions, potential approaches, and possible outputs toward 2035. Our views and perspectives provide insight into accelerating the development of elite soybean varieties to meet the increasing demands of soybean production.
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Affiliation(s)
- Zhixi Tian
- Yazhouwan National Laboratory, Sanya, Hainan, China.
| | | | - Qingxin Song
- State Key Laboratory of Crop Genetics & Germplasm Enhancement and Utilization, Jiangsu Collaborative Innovation Center for Modern Crop Production, Nanjing Agricultural University, Nanjing, Jiangsu, China.
| | - Robert M Stupar
- Department of Agronomy and Plant Genetics, University of Minnesota, St. Paul, MN, USA.
| | - Bin Liu
- State Key Laboratory of Crop Gene Resources and Breeding, Key Laboratory of Soybean Biology (Beijing) (MARA), Institute of Crop Sciences, Chinese Academy of Agricultural Sciences, Beijing, China.
| | - Fanjiang Kong
- Guangdong Provincial Key Laboratory of Plant Adaptation and Molecular Design, Innovative Center of Molecular Genetics and Evolution, School of Life Sciences, Guangzhou University, Guangzhou, China.
| | - Jianxin Ma
- Department of Agronomy, Purdue University, West Lafayette, IN, USA.
| | - Suk-Ha Lee
- Department of Agriculture, Forestry and Bioresources and Research Institute of Agriculture and Life Sciences, Seoul National University, Seoul, Republic of Korea.
| | - Scott A Jackson
- Center for Applied Genetic Technologies, University of Georgia, Athens, GA, USA.
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5
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Xue Y, Cao X, Chen X, Deng X, Deng XW, Ding Y, Dong A, Duan CG, Fang X, Gong L, Gong Z, Gu X, He C, He H, He S, He XJ, He Y, He Y, Jia G, Jiang D, Jiang J, Lai J, Lang Z, Li C, Li Q, Li X, Liu B, Liu B, Luo X, Qi Y, Qian W, Ren G, Song Q, Song X, Tian Z, Wang JW, Wang Y, Wu L, Wu Z, Xia R, Xiao J, Xu L, Xu ZY, Yan W, Yang H, Zhai J, Zhang Y, Zhao Y, Zhong X, Zhou DX, Zhou M, Zhou Y, Zhu B, Zhu JK, Liu Q. Epigenetics in the modern era of crop improvements. SCIENCE CHINA. LIFE SCIENCES 2025:10.1007/s11427-024-2784-3. [PMID: 39808224 DOI: 10.1007/s11427-024-2784-3] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 08/23/2024] [Accepted: 11/15/2024] [Indexed: 01/16/2025]
Abstract
Epigenetic mechanisms are integral to plant growth, development, and adaptation to environmental stimuli. Over the past two decades, our comprehension of these complex regulatory processes has expanded remarkably, producing a substantial body of knowledge on both locus-specific mechanisms and genome-wide regulatory patterns. Studies initially grounded in the model plant Arabidopsis have been broadened to encompass a diverse array of crop species, revealing the multifaceted roles of epigenetics in physiological and agronomic traits. With recent technological advancements, epigenetic regulations at the single-cell level and at the large-scale population level are emerging as new focuses. This review offers an in-depth synthesis of the diverse epigenetic regulations, detailing the catalytic machinery and regulatory functions. It delves into the intricate interplay among various epigenetic elements and their collective influence on the modulation of crop traits. Furthermore, it examines recent breakthroughs in technologies for epigenetic modifications and their integration into strategies for crop improvement. The review underscores the transformative potential of epigenetic strategies in bolstering crop performance, advocating for the development of efficient tools to fully exploit the agricultural benefits of epigenetic insights.
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Affiliation(s)
- Yan Xue
- State Key Laboratory of Wheat Improvement, Peking University Institute of Advanced Agricultural Sciences, Shandong Laboratory of Advanced Agricultural Sciences in Weifang, Weifang, 261325, China.
| | - Xiaofeng Cao
- State Key Laboratory of Plant Genomics and National Center for Plant Gene Research, Institute of Genetics and Developmental Biology, Chinese Academy of Sciences, Beijing, 100101, China.
| | - Xiangsong Chen
- State Key Laboratory of Hybrid Rice, College of Life Sciences, Wuhan University, Wuhan, 430072, China.
| | - Xian Deng
- State Key Laboratory of Plant Genomics and National Center for Plant Gene Research, Institute of Genetics and Developmental Biology, Chinese Academy of Sciences, Beijing, 100101, China.
| | - Xing Wang Deng
- State Key Laboratory of Wheat Improvement, Peking University Institute of Advanced Agricultural Sciences, Shandong Laboratory of Advanced Agricultural Sciences in Weifang, Weifang, 261325, China.
| | - Yong Ding
- School of Life Sciences, Division of Life Sciences and Medicine, University of Science and Technology of China, Hefei, 230027, China.
| | - Aiwu Dong
- State Key Laboratory of Genetic Engineering, Collaborative Innovation Center of Genetics and Development, Department of Biochemistry and Biophysics, Institute of Plant Biology, School of Life Sciences, Fudan University, Shanghai, 200438, China.
| | - Cheng-Guo Duan
- Key Laboratory of Plant Design, National Key Laboratory of Plant Molecular Genetics, Shanghai Center for Plant Stress Biology, CAS Center for Excellence in Molecular Plant Sciences, Chinese Academy of Sciences, Shanghai, 200032, China.
| | - Xiaofeng Fang
- Center for Plant Biology, School of Life Sciences, Tsinghua University, Beijing, 100084, China.
| | - Lei Gong
- Key Laboratory of Molecular Epigenetics of the Ministry of Education (MOE), Northeast Normal University, Changchun, 130024, China.
| | - Zhizhong Gong
- State Key Laboratory of Plant Environmental Resilience, Frontiers Science Center for Molecular Design Breeding, College of Biological Sciences, China Agricultural University, Beijing, 100193, China.
- College of Life Sciences, Institute of Life Science and Green Development, Hebei University, Baoding, 071002, China.
| | - Xiaofeng Gu
- Biotechnology Research Institute, Chinese Academy of Agricultural Sciences, Beijing, 100081, China.
| | - Chongsheng He
- College of Biology, Hunan Key Laboratory of Plant Functional Genomics and Developmental Regulation, Hunan Engineering and Technology Research Center of Hybrid Rapeseed, Hunan University, Changsha, 410082, China.
| | - Hang He
- Institute of Advanced Agricultural Sciences, School of Advanced Agricultural Sciences, Peking University, Beijing, 100871, China.
| | - Shengbo He
- State Key Laboratory for Conservation and Utilization of Subtropical Agro-Bioresources, Guangdong Laboratory for Lingnan Modern Agriculture, South China Agricultural University, Guangzhou, 510642, China.
| | - Xin-Jian He
- National Institute of Biological Sciences, Beijing, 102206, China.
| | - Yan He
- Key Laboratory of Seed Innovation, Institute of Genetics and Developmental Biology, Chinese Academy of Sciences, Beijing, 100101, China.
| | - Yuehui He
- School of Advanced Agricultural Sciences, Peking-Tsinghua Center for Life Sciences, Peking University, Beijing, 100871, China.
| | - Guifang Jia
- Synthetic and Functional Biomolecules Center, Beijing National Laboratory for Molecular Sciences, Key Laboratory of Bioorganic Chemistry and Molecular Engineering of Ministry of Education, College of Chemistry and Molecular Engineering, Peking University, Beijing, 100871, China.
| | - Danhua Jiang
- Key Laboratory of Seed Innovation, State Key Laboratory of Plant Genomics and National Center for Plant Gene Research, Institute of Genetics and Developmental Biology, Chinese Academy of Sciences, Beijing, 100101, China.
| | - Jianjun Jiang
- State Key Laboratory of Crop Stress Adaptation and Improvement, School of Life Sciences, Henan University, Zhengzhou, 450046, China.
| | - Jinsheng Lai
- State Key Laboratory of Maize Bio-breeding, National Maize Improvement Center, Department of Plant Genetics and Breeding, China Agricultural University, Beijing, 100193, China.
- Frontiers Science Center for Molecular Design Breeding, China Agricultural University, Beijing, 100193, China.
- Center for Crop Functional Genomics and Molecular Breeding, China Agricultural University, Beijing, 100193, China.
- Sanya Institute of China Agricultural University, Sanya, 572025, China.
- Hainan Yazhou Bay Seed Laboratory, Sanya, 572025, China.
| | - Zhaobo Lang
- Institute of Advanced Biotechnology and School of Medicine, Southern University of Science and Technology, Shenzhen, 518055, China.
| | - Chenlong Li
- State Key Laboratory of Biocontrol, Guangdong Provincial Key Laboratory of Plant Stress Biology, School of Life Sciences, Sun Yat-Sen University, Guangzhou, 510275, China.
| | - Qing Li
- National Key Laboratory of Crop Genetic Improvement, Huebei Hongshan Laboratory, Huazhong Agricultural University, Wuhan, 430070, China.
| | - Xingwang Li
- National Key Laboratory of Crop Genetic Improvement, Huebei Hongshan Laboratory, Huazhong Agricultural University, Wuhan, 430070, China.
| | - Bao Liu
- Key Laboratory of Molecular Epigenetics of the Ministry of Education (MOE), Northeast Normal University, Changchun, 130024, China.
| | - Bing Liu
- State Key Laboratory of Genetic Engineering, Collaborative Innovation Center of Genetics and Development, Department of Biochemistry and Biophysics, Institute of Plant Biology, School of Life Sciences, Fudan University, Shanghai, 200438, China.
| | - Xiao Luo
- Shandong Provincial Key Laboratory of Precision Molecular Crop Design and Breeding, Peking University Institute of Advanced Agricultural Sciences, Shandong Laboratory of Advanced Agricultural Sciences in Weifang, Weifang, 261325, China.
| | - Yijun Qi
- Center for Plant Biology, School of Life Sciences, Tsinghua University, Beijing, 100084, China.
| | - Weiqiang Qian
- School of Advanced Agricultural Sciences, Peking University, Beijing, 100871, China.
| | - Guodong Ren
- State Key Laboratory of Genetic Engineering, Collaborative Innovation Center of Genetics and Development, Department of Biochemistry and Biophysics, Institute of Plant Biology, School of Life Sciences, Fudan University, Shanghai, 200438, China.
| | - Qingxin Song
- State Key Laboratory of Crop Genetics & Germplasm Enhancement and Utilization, Jiangsu Collaborative Innovation Center for Modern Crop Production, Nanjing Agricultural University, Nanjing, 210095, China.
| | - Xianwei Song
- Key Laboratory of Seed Innovation, State Key Laboratory of Plant Genomics and National Center for Plant Gene Research, Institute of Genetics and Developmental Biology, Chinese Academy of Sciences, Beijing, 100101, China.
| | - Zhixi Tian
- Key Laboratory of Seed Innovation, Institute of Genetics and Developmental Biology, Chinese Academy of Sciences, Beijing, 100101, China.
| | - Jia-Wei Wang
- National Key Laboratory of Plant Molecular Genetics, CAS Center for Excellence in Molecular Plant Sciences, Institute of Plant Physiology and Ecology, Chinese Academy of Sciences, Shanghai, 200032, China.
| | - Yuan Wang
- Key Laboratory of Seed Innovation, State Key Laboratory of Plant Genomics and National Center for Plant Gene Research, Institute of Genetics and Developmental Biology, Chinese Academy of Sciences, Beijing, 100101, China.
| | - Liang Wu
- Zhejiang Provincial Key Laboratory of Crop Genetic Resources, College of Agriculture and Biotechnology, Zhejiang University, Hangzhou, 310058, China.
| | - Zhe Wu
- Shenzhen Key Laboratory of Plant Genetic Engineering and Molecular Design, Institute of Plant and Food Science, Department of Biology, School of Life Sciences, Southern University of Science and Technology, Shenzhen, 518055, China.
| | - Rui Xia
- State Key Laboratory for Conservation and Utilization of Subtropical Agro-Bioresources, College of Horticulture, South China Agricultural University, Guangzhou, 510640, China.
| | - Jun Xiao
- Key Laboratory of Plant Cell and Chromosome Engineering, Institute of Genetics and Developmental Biology, Chinese Academy of Sciences, Beijing, 100101, China.
| | - Lin Xu
- National Key Laboratory of Plant Molecular Genetics, CAS Center for Excellence in Molecular Plant Sciences, Institute of Plant Physiology and Ecology, Chinese Academy of Sciences, Shanghai, 200032, China.
| | - Zheng-Yi Xu
- Key Laboratory of Molecular Epigenetics of the Ministry of Education (MOE), Northeast Normal University, Changchun, 130024, China.
| | - Wenhao Yan
- National Key Laboratory of Crop Genetic Improvement, Huebei Hongshan Laboratory, Huazhong Agricultural University, Wuhan, 430070, China.
| | - Hongchun Yang
- State Key Laboratory of Hybrid Rice, College of Life Sciences, Wuhan University, Wuhan, 430072, China.
| | - Jixian Zhai
- Department of Biology, School of Life Sciences, Southern University of Science and Technology, Shenzhen, 518055, China.
| | - Yijing Zhang
- State Key Laboratory of Genetic Engineering, Collaborative Innovation Center of Genetics and Development, Department of Biochemistry and Biophysics, Institute of Plant Biology, School of Life Sciences, Fudan University, Shanghai, 200438, China.
| | - Yusheng Zhao
- Key Laboratory of Plant Cell and Chromosome Engineering, Institute of Genetics and Developmental Biology, Chinese Academy of Sciences, Beijing, 100101, China.
| | - Xuehua Zhong
- Department of Biology, Washington University in St. Louis, St. Louis, 63130, USA.
| | - Dao-Xiu Zhou
- National Key Laboratory of Crop Genetic Improvement, Huebei Hongshan Laboratory, Huazhong Agricultural University, Wuhan, 430070, China.
- Institute of Plant Sciences Paris-Saclay (IPS2), CNRS, INRAE, University Paris-Saclay, Orsay, 91405, France.
| | - Ming Zhou
- State Key Laboratory of Plant Environmental Resilience, College of Life Sciences, Zhejiang University, Hangzhou, 310058, China.
| | - Yue Zhou
- State Key Laboratory of Protein and Plant Gene Research, School of Advanced Agricultural Sciences, Peking-Tsinghua Center for Life Sciences, Peking University, Beijing, 100871, China.
| | - Bo Zhu
- Department of Biological Science, College of Life Sciences, Sichuan Normal University, Chengdu, 610101, China.
| | - Jian-Kang Zhu
- Institute of Advanced Biotechnology and School of Medicine, Southern University of Science and Technology, Shenzhen, 518055, China.
| | - Qikun Liu
- State Key Laboratory of Protein and Plant Gene Research, School of Advanced Agricultural Sciences, Peking University, Beijing, 100871, China.
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Dias Lopes C, He X, Ariel F, Pereyra-Bistraín LI, Benhamed M. The MVPs (masterful versatile players): Chromatin factors as pivotal mediators between 3D genome organization and the response to environment. CURRENT OPINION IN PLANT BIOLOGY 2024; 81:102599. [PMID: 38991465 DOI: 10.1016/j.pbi.2024.102599] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 04/24/2024] [Revised: 06/05/2024] [Accepted: 06/17/2024] [Indexed: 07/13/2024]
Abstract
In recent years, the study of genome dynamics has become a prominent research field due to its influence on understanding the control of gene expression. The study of 3D genome organization has unveiled multiple mechanisms in orchestrating chromosome folding. Growing evidence reveals that these mechanisms are not only important for genome organization, but play a pivotal role in enabling plants to adapt to environmental stimuli. In this review, we provide an overview of the current knowledge concerning epigenetic factors and regulatory elements driving 3D genome dynamics and their responses to external stimuli. We discuss the most recent findings, previous evidence, and explore their implications for future research.
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Affiliation(s)
- Chloé Dias Lopes
- Université Paris-Saclay, CNRS, INRAE, Univ Evry, Institute of Plant Sciences Paris-Saclay (IPS2), Orsay, 91405, France
| | - Xiaoning He
- Université Paris-Saclay, CNRS, INRAE, Univ Evry, Institute of Plant Sciences Paris-Saclay (IPS2), Orsay, 91405, France
| | - Federico Ariel
- Universidad de Buenos Aires (UBA), Facultad de Ciencias Exactas y Naturales, and Instituto de Fisiología, Biología Molecular y Neurociencias (IFIBYNE), CONICET-UBA, Buenos Aires, Argentina
| | - Leonardo I Pereyra-Bistraín
- Université Paris-Saclay, CNRS, INRAE, Univ Evry, Institute of Plant Sciences Paris-Saclay (IPS2), Orsay, 91405, France; Université de Paris Cité, Institute of Plant Sciences Paris-Saclay (IPS2), F-91190, Gif-sur-Yvette, France.
| | - Moussa Benhamed
- Université Paris-Saclay, CNRS, INRAE, Univ Evry, Institute of Plant Sciences Paris-Saclay (IPS2), Orsay, 91405, France; Université de Paris Cité, Institute of Plant Sciences Paris-Saclay (IPS2), F-91190, Gif-sur-Yvette, France; Institut Universitaire de France (IUF), Orsay, 91405, France.
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7
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Razzaq MK, Babur MN, Awan MJA, Raza G, Mobeen M, Aslam A, Siddique KHM. Revolutionizing soybean genomics: How CRISPR and advanced sequencing are unlocking new potential. Funct Integr Genomics 2024; 24:153. [PMID: 39223394 DOI: 10.1007/s10142-024-01435-7] [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: 07/03/2024] [Revised: 08/21/2024] [Accepted: 08/23/2024] [Indexed: 09/04/2024]
Abstract
Soybean Glycine max L., paleopolyploid genome, poses challenges to its genetic improvement. However, the development of reference genome assemblies and genome sequencing has completely changed the field of soybean genomics, allowing for more accurate and successful breeding techniques as well as research. During the single-cell revolution, one of the most advanced sequencing tools for examining the transcriptome landscape is single-cell RNA sequencing (scRNA-seq). Comprehensive resources for genetic improvement of soybeans may be found in the SoyBase and other genomics databases. CRISPR-Cas9 genome editing technology provides promising prospects for precise genetic modifications in soybean. This method has enhanced several soybean traits, including as yield, nutritional value, and resistance to both biotic and abiotic stresses. With base editing techniques that allow for precise DNA modifications, the use of CRISPR-Cas9 is further increased. With the availability of the reference genome for soybeans and the following assembly of wild and cultivated soybeans, significant chromosomal rearrangements and gene duplication events have been identified, offering new perspectives on the complex genomic structure of soybeans. Furthermore, major single nucleotide polymorphisms (SNPs) linked to stachyose and sucrose content have been found through genome-wide association studies (GWAS), providing important tools for enhancing soybean carbohydrate profiles. In order to open up new avenues for soybean genetic improvement, future research approaches include investigating transcriptional divergence processes, enhancing genetic resources, and incorporating CRISPR-Cas9 technologies.
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Affiliation(s)
| | | | - Muhammad Jawad Akbar Awan
- Agricultural Biotechnology Division, National Institute for Biotechnology and Genetic Engineering (NIBGE), Constituent College of Pakistan Institute of Engineering and Applied Sciences Jhang Road, Faisalabad, Pakistan
| | - Ghulam Raza
- National Institute for Biotechnology and Genetic Engineering College, Pakistan Institute of Engineering and Applied Sciences (NIBGE-C, PIEAS) PK, Faisalabad, Pakistan
| | - Mehwish Mobeen
- Institute of Pure and Applied Biology, Zoology Division, Bahauddin Zakariya University, Multan, Pakistan
| | - Ali Aslam
- Faculty of Agriculture and Veterinary Sciences, Superior University, Lahore, Pakistan
| | - Kadambot H M Siddique
- The UWA Institute of Agriculture, The University of Western Australia, Perth, WA, 6001, Australia.
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8
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Mishra S, Srivastava AK, Khan AW, Tran LSP, Nguyen HT. The era of panomics-driven gene discovery in plants. TRENDS IN PLANT SCIENCE 2024; 29:995-1005. [PMID: 38658292 DOI: 10.1016/j.tplants.2024.03.007] [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: 12/06/2023] [Revised: 03/01/2024] [Accepted: 03/08/2024] [Indexed: 04/26/2024]
Abstract
Panomics is an approach to integrate multiple 'omics' datasets, generated using different individuals or natural variations. Considering their diverse phenotypic spectrum, the phenome is inherently associated with panomics-based science, which is further combined with genomics, transcriptomics, metabolomics, and other omics techniques, either independently or collectively. Panomics has been accelerated through recent technological advancements in the field of genomics that enable the detection of population-wide structural variations (SVs) and hence offer unprecedented insights into the genetic variations contributing to important agronomic traits. The present review provides the recent trends of panomics-driven gene discovery toward various traits related to plant development, stress tolerance, accumulation of specialized metabolites, and domestication/dedomestication. In addition, the success stories are highlighted in the broader context of enhancing crop productivity.
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Affiliation(s)
- Shefali Mishra
- Nuclear Agriculture and Biotechnology Division, Bhabha Atomic Research Centre, Mumbai, Maharashtra 400085, India
| | - Ashish Kumar Srivastava
- Nuclear Agriculture and Biotechnology Division, Bhabha Atomic Research Centre, Mumbai, Maharashtra 400085, India; Homi Bhabha National Institute, Mumbai 400094, India.
| | - Aamir W Khan
- Division of Plant Science and Technology and National Center for Soybean Biotechnology, University of Missouri-Columbia, Columbia, MO 65211, USA
| | - Lam-Son Phan Tran
- Institute of Genomics for Crop Abiotic Stress Tolerance, Department of Plant and Soil Science, Texas Tech University, Lubbock, TX, USA
| | - Henry T Nguyen
- Division of Plant Science and Technology and National Center for Soybean Biotechnology, University of Missouri-Columbia, Columbia, MO 65211, USA.
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9
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Li Z, Sun L, Xu X, Liu Y, He H, Deng XW. Light control of three-dimensional chromatin organization in soybean. PLANT BIOTECHNOLOGY JOURNAL 2024; 22:2596-2611. [PMID: 38762905 PMCID: PMC11331798 DOI: 10.1111/pbi.14372] [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: 10/08/2023] [Revised: 03/24/2024] [Accepted: 04/24/2024] [Indexed: 05/21/2024]
Abstract
Higher-order chromatin structure is critical for regulation of gene expression. In plants, light profoundly affects the morphogenesis of emerging seedlings as well as global gene expression to ensure optimal adaptation to environmental conditions. However, the changes and functional significance of chromatin organization in response to light during seedling development are not well documented. We constructed Hi-C contact maps for the cotyledon, apical hook and hypocotyl of soybean subjected to dark and light conditions. The resulting high-resolution Hi-C contact maps identified chromosome territories, A/B compartments, A/B sub-compartments, TADs (Topologically Associated Domains) and chromatin loops in each organ. We observed increased chromatin compaction under light and we found that domains that switched from B sub-compartments in darkness to A sub-compartments under light contained genes that were activated during photomorphogenesis. At the local scale, we identified a group of TADs constructed by gene clusters consisting of different numbers of Small Auxin-Upregulated RNAs (SAURs), which exhibited strict co-expression in the hook and hypocotyl in response to light stimulation. In the hypocotyl, RNA polymerase II (RNAPII) regulated the transcription of a SAURs cluster under light via TAD condensation. Our results suggest that the 3D genome is involved in the regulation of light-related gene expression in a tissue-specific manner.
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Affiliation(s)
- Zhu Li
- National Key Laboratory of Wheat ImprovementPeking University Institute of Advanced Agricultural Sciences, Shandong Laboratory of Advanced Agricultural Sciences at WeifangShandongChina
- School of Plant Science and Food SecurityTel Aviv UniversityTel AvivIsrael
| | - Linhua Sun
- National Key Laboratory of Wheat ImprovementPeking University Institute of Advanced Agricultural Sciences, Shandong Laboratory of Advanced Agricultural Sciences at WeifangShandongChina
- School of Advanced Agriculture Sciences and School of Life Sciences, State Key Laboratory of Protein and Plant Gene ResearchPeking UniversityBeijingChina
| | - Xiao Xu
- National Key Laboratory of Wheat ImprovementPeking University Institute of Advanced Agricultural Sciences, Shandong Laboratory of Advanced Agricultural Sciences at WeifangShandongChina
| | - Yutong Liu
- National Key Laboratory of Wheat ImprovementPeking University Institute of Advanced Agricultural Sciences, Shandong Laboratory of Advanced Agricultural Sciences at WeifangShandongChina
| | - Hang He
- National Key Laboratory of Wheat ImprovementPeking University Institute of Advanced Agricultural Sciences, Shandong Laboratory of Advanced Agricultural Sciences at WeifangShandongChina
- School of Advanced Agriculture Sciences and School of Life Sciences, State Key Laboratory of Protein and Plant Gene ResearchPeking UniversityBeijingChina
| | - Xing Wang Deng
- National Key Laboratory of Wheat ImprovementPeking University Institute of Advanced Agricultural Sciences, Shandong Laboratory of Advanced Agricultural Sciences at WeifangShandongChina
- School of Advanced Agriculture Sciences and School of Life Sciences, State Key Laboratory of Protein and Plant Gene ResearchPeking UniversityBeijingChina
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10
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Zhang Y, Zhao M, Tan J, Huang M, Chu X, Li Y, Han X, Fang T, Tian Y, Jarret R, Lu D, Chen Y, Xue L, Li X, Qin G, Li B, Sun Y, Deng XW, Deng Y, Zhang X, He H. Telomere-to-telomere Citrullus super-pangenome provides direction for watermelon breeding. Nat Genet 2024; 56:1750-1761. [PMID: 38977857 PMCID: PMC11319210 DOI: 10.1038/s41588-024-01823-6] [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: 08/26/2023] [Accepted: 06/04/2024] [Indexed: 07/10/2024]
Abstract
To decipher the genetic diversity within the cucurbit genus Citrullus, we generated telomere-to-telomere (T2T) assemblies of 27 distinct genotypes, encompassing all seven Citrullus species. This T2T super-pangenome has expanded the previously published reference genome, T2T-G42, by adding 399.2 Mb and 11,225 genes. Comparative analysis has unveiled gene variants and structural variations (SVs), shedding light on watermelon evolution and domestication processes that enhanced attributes such as bitterness and sugar content while compromising disease resistance. Multidisease-resistant loci from Citrullus amarus and Citrullus mucosospermus were successfully introduced into cultivated Citrullus lanatus. The SVs identified in C. lanatus have not only been inherited from cordophanus but also from C. mucosospermus, suggesting additional ancestors beyond cordophanus in the lineage of cultivated watermelon. Our investigation substantially improves the comprehension of watermelon genome diversity, furnishing comprehensive reference genomes for all Citrullus species. This advancement aids in the exploration and genetic enhancement of watermelon using its wild relatives.
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Affiliation(s)
- Yilin Zhang
- National Key Laboratory of Wheat Improvement, Peking University Institute of Advanced Agricultural Sciences, Shandong Laboratory of Advanced Agricultural Sciences at Weifang, Weifang, China
- State Key Laboratory of Protein and Plant Gene Research, School of Advanced Agricultural Sciences and School of Life Sciences, Peking University, Beijing, China
| | - Mingxia Zhao
- National Key Laboratory of Wheat Improvement, Peking University Institute of Advanced Agricultural Sciences, Shandong Laboratory of Advanced Agricultural Sciences at Weifang, Weifang, China
| | - Jingsheng Tan
- National Key Laboratory of Wheat Improvement, Peking University Institute of Advanced Agricultural Sciences, Shandong Laboratory of Advanced Agricultural Sciences at Weifang, Weifang, China
| | - Minghan Huang
- State Key Laboratory of Protein and Plant Gene Research, School of Advanced Agricultural Sciences and School of Life Sciences, Peking University, Beijing, China
| | - Xiao Chu
- National Key Laboratory of Wheat Improvement, Peking University Institute of Advanced Agricultural Sciences, Shandong Laboratory of Advanced Agricultural Sciences at Weifang, Weifang, China
| | - Yan Li
- National Key Laboratory of Wheat Improvement, Peking University Institute of Advanced Agricultural Sciences, Shandong Laboratory of Advanced Agricultural Sciences at Weifang, Weifang, China
| | - Xue Han
- National Key Laboratory of Wheat Improvement, Peking University Institute of Advanced Agricultural Sciences, Shandong Laboratory of Advanced Agricultural Sciences at Weifang, Weifang, China
| | - Taohong Fang
- National Key Laboratory of Wheat Improvement, Peking University Institute of Advanced Agricultural Sciences, Shandong Laboratory of Advanced Agricultural Sciences at Weifang, Weifang, China
| | - Yao Tian
- National Key Laboratory of Wheat Improvement, Peking University Institute of Advanced Agricultural Sciences, Shandong Laboratory of Advanced Agricultural Sciences at Weifang, Weifang, China
| | | | - Dongdong Lu
- National Key Laboratory of Wheat Improvement, Peking University Institute of Advanced Agricultural Sciences, Shandong Laboratory of Advanced Agricultural Sciences at Weifang, Weifang, China
| | - Yijun Chen
- National Key Laboratory of Wheat Improvement, Peking University Institute of Advanced Agricultural Sciences, Shandong Laboratory of Advanced Agricultural Sciences at Weifang, Weifang, China
| | - Lifang Xue
- National Key Laboratory of Wheat Improvement, Peking University Institute of Advanced Agricultural Sciences, Shandong Laboratory of Advanced Agricultural Sciences at Weifang, Weifang, China
| | - Xiaoni Li
- National Key Laboratory of Wheat Improvement, Peking University Institute of Advanced Agricultural Sciences, Shandong Laboratory of Advanced Agricultural Sciences at Weifang, Weifang, China
| | - Guochen Qin
- National Key Laboratory of Wheat Improvement, Peking University Institute of Advanced Agricultural Sciences, Shandong Laboratory of Advanced Agricultural Sciences at Weifang, Weifang, China
| | - Bosheng Li
- National Key Laboratory of Wheat Improvement, Peking University Institute of Advanced Agricultural Sciences, Shandong Laboratory of Advanced Agricultural Sciences at Weifang, Weifang, China
| | - Yudong Sun
- Vegetable Research and Development Center, Huaiyin Institute of Agricultural Sciences of Xuhuai Region in Jiangsu, Huai'an, China
| | - Xing Wang Deng
- National Key Laboratory of Wheat Improvement, Peking University Institute of Advanced Agricultural Sciences, Shandong Laboratory of Advanced Agricultural Sciences at Weifang, Weifang, China
- State Key Laboratory of Protein and Plant Gene Research, School of Advanced Agricultural Sciences and School of Life Sciences, Peking University, Beijing, China
| | - Yun Deng
- National Key Laboratory of Wheat Improvement, Peking University Institute of Advanced Agricultural Sciences, Shandong Laboratory of Advanced Agricultural Sciences at Weifang, Weifang, China.
| | - Xingping Zhang
- National Key Laboratory of Wheat Improvement, Peking University Institute of Advanced Agricultural Sciences, Shandong Laboratory of Advanced Agricultural Sciences at Weifang, Weifang, China.
| | - Hang He
- National Key Laboratory of Wheat Improvement, Peking University Institute of Advanced Agricultural Sciences, Shandong Laboratory of Advanced Agricultural Sciences at Weifang, Weifang, China.
- State Key Laboratory of Protein and Plant Gene Research, School of Advanced Agricultural Sciences and School of Life Sciences, Peking University, Beijing, China.
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11
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Wang J, Kan S, Liao X, Zhou J, Tembrock LR, Daniell H, Jin S, Wu Z. Plant organellar genomes: much done, much more to do. TRENDS IN PLANT SCIENCE 2024; 29:754-769. [PMID: 38220520 DOI: 10.1016/j.tplants.2023.12.014] [Citation(s) in RCA: 82] [Impact Index Per Article: 82.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 06/12/2023] [Revised: 12/15/2023] [Accepted: 12/15/2023] [Indexed: 01/16/2024]
Abstract
Plastids and mitochondria are the only organelles that possess genomes of endosymbiotic origin. In recent decades, advances in sequencing technologies have contributed to a meteoric rise in the number of published organellar genomes, and have revealed greatly divergent evolutionary trajectories. In this review, we quantify the abundance and distribution of sequenced plant organellar genomes across the plant tree of life. We compare numerous genomic features between the two organellar genomes, with an emphasis on evolutionary trajectories, transfers, the current state of organellar genome editing by transcriptional activator-like effector nucleases (TALENs), transcription activator-like effector (TALE)-mediated deaminase, and clustered regularly interspaced short palindromic repeats (CRISPR)/CRISPR-associated protein (Cas), as well as genetic transformation. Finally, we propose future research to understand these different evolutionary trajectories, and genome-editing strategies to promote functional studies and eventually improve organellar genomes.
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Affiliation(s)
- Jie Wang
- Shenzhen Branch, Guangdong Laboratory of Lingnan Modern Agriculture, Key Laboratory of Synthetic Biology, Laboratory of the Ministry of Agriculture and Rural Affairs, Agricultural Genomics Institute at Shenzhen, Chinese Academy of Agricultural Sciences, Shenzhen 518120, China; College of Science, Health, Engineering and Education, Murdoch University, Perth, WA 6000-6999, Australia
| | - Shenglong Kan
- Shenzhen Branch, Guangdong Laboratory of Lingnan Modern Agriculture, Key Laboratory of Synthetic Biology, Laboratory of the Ministry of Agriculture and Rural Affairs, Agricultural Genomics Institute at Shenzhen, Chinese Academy of Agricultural Sciences, Shenzhen 518120, China; Marine College, Shandong University, Weihai, 264209, China
| | - Xuezhu Liao
- Shenzhen Branch, Guangdong Laboratory of Lingnan Modern Agriculture, Key Laboratory of Synthetic Biology, Laboratory of the Ministry of Agriculture and Rural Affairs, Agricultural Genomics Institute at Shenzhen, Chinese Academy of Agricultural Sciences, Shenzhen 518120, China
| | - Jiawei Zhou
- Shenzhen Branch, Guangdong Laboratory of Lingnan Modern Agriculture, Key Laboratory of Synthetic Biology, Laboratory of the Ministry of Agriculture and Rural Affairs, Agricultural Genomics Institute at Shenzhen, Chinese Academy of Agricultural Sciences, Shenzhen 518120, China; National Key Laboratory of Crop Genetic Improvement, Huazhong Agricultural University, Wuhan 430070, China
| | - Luke R Tembrock
- Department of Agricultural Biology, Colorado State University, Fort Collins, CO 80523, USA
| | - Henry Daniell
- Department of Basic and Translational Sciences, School of Dental Medicine, University of Pennsylvania, Philadelphia, PA 19104-6030, USA.
| | - Shuangxia Jin
- National Key Laboratory of Crop Genetic Improvement, Huazhong Agricultural University, Wuhan 430070, China; Hubei Hongshan Laboratory, Wuhan 430070, China.
| | - Zhiqiang Wu
- Shenzhen Branch, Guangdong Laboratory of Lingnan Modern Agriculture, Key Laboratory of Synthetic Biology, 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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12
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Long Y, Wendel JF, Zhang X, Wang M. Evolutionary insights into the organization of chromatin structure and landscape of transcriptional regulation in plants. TRENDS IN PLANT SCIENCE 2024; 29:638-649. [PMID: 38061928 DOI: 10.1016/j.tplants.2023.11.009] [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: 08/24/2023] [Revised: 11/06/2023] [Accepted: 11/09/2023] [Indexed: 06/09/2024]
Abstract
Development of complex traits necessitates the functioning and coordination of intricate regulatory networks involving multiple genes. Understanding 3D chromatin structure can facilitate insight into the regulation of gene expression by regulatory elements. This potential, of visualizing the role of chromatin organization in the evolution and function of regulatory elements, remains largely unexplored. Here, we describe new perspectives that arise from the dual considerations of sequence variation of regulatory elements and chromatin structure, with a special focus on whole-genome doubling or polyploidy. We underscore the significance of hierarchical chromatin organization in gene regulation during evolution. In addition, we describe strategies for exploring chromatin organization in future investigations of regulatory evolution in plants, enabling insights into the evolutionary influence of regulatory elements on gene expression and, hence, phenotypes.
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Affiliation(s)
- Yuexuan Long
- National Key Laboratory of Crop Genetic Improvement, Hubei Hongshan Laboratory, Huazhong Agricultural University, Wuhan, China
| | - Jonathan F Wendel
- Department of Ecology, Evolution, and Organismal Biology, Iowa State University, Ames, IA 50011, USA
| | - Xianlong Zhang
- National Key Laboratory of Crop Genetic Improvement, Hubei Hongshan Laboratory, Huazhong Agricultural University, Wuhan, China
| | - Maojun Wang
- National Key Laboratory of Crop Genetic Improvement, Hubei Hongshan Laboratory, Huazhong Agricultural University, Wuhan, China.
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13
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Chen K, Yang H, Wu D, Peng Y, Lian L, Bai L, Wang L. Weed biology and management in the multi-omics era: Progress and perspectives. PLANT COMMUNICATIONS 2024; 5:100816. [PMID: 38219012 PMCID: PMC11009161 DOI: 10.1016/j.xplc.2024.100816] [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: 09/13/2023] [Revised: 11/20/2023] [Accepted: 01/08/2024] [Indexed: 01/15/2024]
Abstract
Weeds pose a significant threat to crop production, resulting in substantial yield reduction. In addition, they possess robust weedy traits that enable them to survive in extreme environments and evade human control. In recent years, the application of multi-omics biotechnologies has helped to reveal the molecular mechanisms underlying these weedy traits. In this review, we systematically describe diverse applications of multi-omics platforms for characterizing key aspects of weed biology, including the origins of weed species, weed classification, and the underlying genetic and molecular bases of important weedy traits such as crop-weed interactions, adaptability to different environments, photoperiodic flowering responses, and herbicide resistance. In addition, we discuss limitations to the application of multi-omics techniques in weed science, particularly compared with their extensive use in model plants and crops. In this regard, we provide a forward-looking perspective on the future application of multi-omics technologies to weed science research. These powerful tools hold great promise for comprehensively and efficiently unraveling the intricate molecular genetic mechanisms that underlie weedy traits. The resulting advances will facilitate the development of sustainable and highly effective weed management strategies, promoting greener practices in agriculture.
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Affiliation(s)
- Ke Chen
- Key Laboratory of Indica Rice Genetics and Breeding in the Middle and Lower Reaches of Yangtze River Valley, Ministry of Agriculture and Rural Affairs, Hunan Rice Research Institute, Hunan Academy of Agricultural Sciences, Changsha 410125, China; State Key Laboratory of Hybrid Rice, Hunan Academy of Agricultural Sciences, Changsha 410125, China; Longping Branch, College of Biology, Hunan University, Changsha 410125, China; Hunan Weed Science Key Laboratory, Hunan Agricultural Biotechnology Research Institute, Hunan Academy of Agricultural Sciences, Changsha 410125, China
| | - Haona Yang
- State Key Laboratory of Hybrid Rice, Hunan Academy of Agricultural Sciences, Changsha 410125, China; Hunan Weed Science Key Laboratory, Hunan Agricultural Biotechnology Research Institute, Hunan Academy of Agricultural Sciences, Changsha 410125, China
| | - Di Wu
- State Key Laboratory of Hybrid Rice, Hunan Academy of Agricultural Sciences, Changsha 410125, China
| | - Yajun Peng
- State Key Laboratory of Hybrid Rice, Hunan Academy of Agricultural Sciences, Changsha 410125, China; Hunan Weed Science Key Laboratory, Hunan Agricultural Biotechnology Research Institute, Hunan Academy of Agricultural Sciences, Changsha 410125, China
| | - Lei Lian
- Qingdao Kingagroot Compounds Co. Ltd, Qingdao 266000, China
| | - Lianyang Bai
- Key Laboratory of Indica Rice Genetics and Breeding in the Middle and Lower Reaches of Yangtze River Valley, Ministry of Agriculture and Rural Affairs, Hunan Rice Research Institute, Hunan Academy of Agricultural Sciences, Changsha 410125, China; State Key Laboratory of Hybrid Rice, Hunan Academy of Agricultural Sciences, Changsha 410125, China; Longping Branch, College of Biology, Hunan University, Changsha 410125, China; Huangpu Research Institute of Longping Agricultural Science and Technology, Guangzhou 510715, China; Hunan Weed Science Key Laboratory, Hunan Agricultural Biotechnology Research Institute, Hunan Academy of Agricultural Sciences, Changsha 410125, China.
| | - Lifeng Wang
- Key Laboratory of Indica Rice Genetics and Breeding in the Middle and Lower Reaches of Yangtze River Valley, Ministry of Agriculture and Rural Affairs, Hunan Rice Research Institute, Hunan Academy of Agricultural Sciences, Changsha 410125, China; State Key Laboratory of Hybrid Rice, Hunan Academy of Agricultural Sciences, Changsha 410125, China; Longping Branch, College of Biology, Hunan University, Changsha 410125, China; Huangpu Research Institute of Longping Agricultural Science and Technology, Guangzhou 510715, China; Hunan Weed Science Key Laboratory, Hunan Agricultural Biotechnology Research Institute, Hunan Academy of Agricultural Sciences, Changsha 410125, China.
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14
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Zhang L, Zhao R, Liang J, Cai X, Zhang L, Guo H, Zhang Z, Wu J, Wang X. BL-Hi-C reveals the 3D genome structure of Brassica crops with high sensitivity. HORTICULTURE RESEARCH 2024; 11:uhae017. [PMID: 38464474 PMCID: PMC10923644 DOI: 10.1093/hr/uhae017] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 08/01/2023] [Accepted: 01/03/2024] [Indexed: 03/12/2024]
Abstract
High-throughput Chromatin Conformation Capture (Hi-C) technologies can be used to investigate the three-dimensional genomic structure of plants. However, the practical utility of these technologies is impeded by significant background noise, hindering their capability in detecting fine 3D genomic structures. In this study, we optimized the Bridge Linker Hi-C technology (BL-Hi-C) to comprehensively investigate the 3D chromatin landscape of Brassica rapa and Brassica oleracea. The Bouquet configuration of both B. rapa and B. oleracea was elucidated through the construction of a 3D genome simulation. The optimized BL-Hi-C exhibited lower background noise compared to conventional Hi-C methods. Taking this advantage, we used BL-Hi-C to identify FLC gene loops in Arabidopsis, B. rapa, and B. oleracea. We observed that gene loops of FLC2 exhibited conservation across Arabidopsis, B. rapa, and B. oleracea. While gene loops of syntenic FLCs exhibited conservation across B. rapa and B. oleracea, variations in gene loops were evident among multiple paralogs FLCs within the same species. Collectively, our findings highlight the high sensitivity of optimized BL-Hi-C as a powerful tool for investigating the fine 3D genomic organization.
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Affiliation(s)
- Lupeng Zhang
- State Key Laboratory of Vegetable Biobreeding, Institute of Vegetables and Flowers, Chinese Academy of Agricultural Sciences, Beijing 100081, China
| | - Ranze Zhao
- State Key Laboratory of Vegetable Biobreeding, Institute of Vegetables and Flowers, Chinese Academy of Agricultural Sciences, Beijing 100081, China
| | - Jianli Liang
- State Key Laboratory of Vegetable Biobreeding, Institute of Vegetables and Flowers, Chinese Academy of Agricultural Sciences, Beijing 100081, China
| | - Xu Cai
- State Key Laboratory of Vegetable Biobreeding, Institute of Vegetables and Flowers, Chinese Academy of Agricultural Sciences, Beijing 100081, China
| | - Lei Zhang
- State Key Laboratory of Vegetable Biobreeding, Institute of Vegetables and Flowers, Chinese Academy of Agricultural Sciences, Beijing 100081, China
| | - Huiling Guo
- State Key Laboratory of Vegetable Biobreeding, Institute of Vegetables and Flowers, Chinese Academy of Agricultural Sciences, Beijing 100081, China
| | - Zhicheng Zhang
- State Key Laboratory of Vegetable Biobreeding, Institute of Vegetables and Flowers, Chinese Academy of Agricultural Sciences, Beijing 100081, China
| | - Jian Wu
- State Key Laboratory of Vegetable Biobreeding, Institute of Vegetables and Flowers, Chinese Academy of Agricultural Sciences, Beijing 100081, China
| | - Xiaowu Wang
- State Key Laboratory of Vegetable Biobreeding, Institute of Vegetables and Flowers, Chinese Academy of Agricultural Sciences, Beijing 100081, China
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15
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Kong W, Yu J, Yang J, Zhang Y, Zhang X. The high-resolution three-dimensional (3D) chromatin map of the tea plant ( Camellia sinensis). HORTICULTURE RESEARCH 2023; 10:uhad179. [PMID: 37885820 PMCID: PMC10599236 DOI: 10.1093/hr/uhad179] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Grants] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 06/20/2023] [Accepted: 08/23/2023] [Indexed: 10/28/2023]
Affiliation(s)
- Weilong Kong
- National Key Laboratory for Tropical Crop Breeding, Shenzhen Branch, Guangdong Laboratory for Lingnan Modern Agriculture, Genome Analysis Laboratory of the Ministry of Agriculture, Agricultural Genomics Institute at Shenzhen, Chinese Academy of Agricultural Sciences, Shenzhen, Guangzhou 518120, China
| | - Jiaxin Yu
- National Key Laboratory for Tropical Crop Breeding, Shenzhen Branch, Guangdong Laboratory for Lingnan Modern Agriculture, Genome Analysis Laboratory of the Ministry of Agriculture, Agricultural Genomics Institute at Shenzhen, Chinese Academy of Agricultural Sciences, Shenzhen, Guangzhou 518120, China
| | - Jingjing Yang
- National Key Laboratory for Tropical Crop Breeding, Shenzhen Branch, Guangdong Laboratory for Lingnan Modern Agriculture, Genome Analysis Laboratory of the Ministry of Agriculture, Agricultural Genomics Institute at Shenzhen, Chinese Academy of Agricultural Sciences, Shenzhen, Guangzhou 518120, China
| | - Yanbing Zhang
- National Key Laboratory for Tropical Crop Breeding, Shenzhen Branch, Guangdong Laboratory for Lingnan Modern Agriculture, Genome Analysis Laboratory of the Ministry of Agriculture, Agricultural Genomics Institute at Shenzhen, Chinese Academy of Agricultural Sciences, Shenzhen, Guangzhou 518120, China
- State Key Laboratory of Crop Stress Adaptation and Improvement, School of Life Sciences, Henan University, Kaifeng, Henan 475004, China
- Shenzhen Research Institute of Henan University, Shenzhen, Henan 518000, China
| | - Xingtan Zhang
- National Key Laboratory for Tropical Crop Breeding, Shenzhen Branch, Guangdong Laboratory for Lingnan Modern Agriculture, Genome Analysis Laboratory of the Ministry of Agriculture, Agricultural Genomics Institute at Shenzhen, Chinese Academy of Agricultural Sciences, Shenzhen, Guangzhou 518120, China
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16
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Ni L, Tian Z. Toward cis-regulation in soybean: a 3D genome scope. MOLECULAR BREEDING : NEW STRATEGIES IN PLANT IMPROVEMENT 2023; 43:28. [PMID: 37313524 PMCID: PMC10248674 DOI: 10.1007/s11032-023-01374-4] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 01/04/2023] [Accepted: 03/25/2023] [Indexed: 06/15/2023]
Abstract
In eukaryotic cells, 3D genome plays an important role in the regulation of gene spatiotemporal expression, which is essential for the biological and developmental processes in a life cycle. In the past decade, the development of high-throughput technologies greatly enhances our ability to map the 3D genome organization, identifies multiple 3D genome structures, and investigates the functional role of 3D genome organization in gene regulation, which facilitates our understandings of cis-regulatory landscape and biological development. Comparing with the comprehensive analyses of 3D genome in mammals and model plants, the progress in soybean is much less. Future development and application of tools to precisely manipulate 3D genome structure at different levels will significantly strengthen the functional genome study and molecular breeding in soybean. Here, we review the recent progresses in 3D genome study and discuss future directions, which may help to improve soybean 3D functional genome study and molecular breeding.
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Affiliation(s)
- Lingbin Ni
- State Key Laboratory of Plant Cell and Chromosome Engineering, Institute of Genetics and Developmental Biology, Innovative Academy of Seed Design, Chinese Academy of Sciences, Beijing, 100101 China
- College of Advanced Agriculture Sciences, University of Chinese Academy of Sciences, Beijing, 100049 China
| | - Zhixi Tian
- State Key Laboratory of Plant Cell and Chromosome Engineering, Institute of Genetics and Developmental Biology, Innovative Academy of Seed Design, Chinese Academy of Sciences, Beijing, 100101 China
- College of Advanced Agriculture Sciences, University of Chinese Academy of Sciences, Beijing, 100049 China
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17
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Duan Z, Li Q, Wang H, He X, Zhang M. Genetic regulatory networks of soybean seed size, oil and protein contents. FRONTIERS IN PLANT SCIENCE 2023; 14:1160418. [PMID: 36959925 PMCID: PMC10028097 DOI: 10.3389/fpls.2023.1160418] [Citation(s) in RCA: 17] [Impact Index Per Article: 8.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 02/07/2023] [Accepted: 02/24/2023] [Indexed: 06/18/2023]
Abstract
As a leading oilseed crop that supplies plant oil and protein for daily human life, increasing yield and improving nutritional quality (high oil or protein) are the top two fundamental goals of soybean breeding. Seed size is one of the most critical factors determining soybean yield. Seed size, oil and protein contents are complex quantitative traits governed by genetic and environmental factors during seed development. The composition and quantity of seed storage reserves directly affect seed size. In general, oil and protein make up almost 60% of the total storage of soybean seed. Therefore, soybean's seed size, oil, or protein content are highly correlated agronomical traits. Increasing seed size helps increase soybean yield and probably improves seed quality. Similarly, rising oil and protein contents improves the soybean's nutritional quality and will likely increase soybean yield. Due to the importance of these three seed traits in soybean breeding, extensive studies have been conducted on their underlying quantitative trait locus (QTLs) or genes and the dissection of their molecular regulatory pathways. This review summarized the progress in functional genome controlling soybean seed size, oil and protein contents in recent decades, and presented the challenges and prospects for developing high-yield soybean cultivars with high oil or protein content. In the end, we hope this review will be helpful to the improvement of soybean yield and quality in the future breeding process.
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Affiliation(s)
- Zongbiao Duan
- Hainan Yazhou Bay Seed Laboratory, Sanya, China
- State Key Laboratory of Plant Cell and Chromosome Engineering, Institute of Genetics and Developmental Biology, Chinese Academy of Sciences, Beijing, China
| | - Qing Li
- State Key Laboratory of Rice Biology and Breeding, China National Rice Research Institute, Chinese Academy of Agricultural Sciences, Hangzhou, China
| | - Hong Wang
- State Key Laboratory of Rice Biology and Breeding, China National Rice Research Institute, Chinese Academy of Agricultural Sciences, Hangzhou, China
| | - Xuemei He
- State Key Laboratory of Plant Cell and Chromosome Engineering, Institute of Genetics and Developmental Biology, Chinese Academy of Sciences, Beijing, China
| | - Min Zhang
- State Key Laboratory of Plant Cell and Chromosome Engineering, Institute of Genetics and Developmental Biology, Chinese Academy of Sciences, Beijing, China
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Ni L, Liu Y, Ma X, Liu T, Yang X, Wang Z, Liang Q, Liu S, Zhang M, Wang Z, Shen Y, Tian Z. Pan-3D genome analysis reveals structural and functional differentiation of soybean genomes. Genome Biol 2023; 24:12. [PMID: 36658660 PMCID: PMC9850592 DOI: 10.1186/s13059-023-02854-8] [Citation(s) in RCA: 13] [Impact Index Per Article: 6.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/01/2022] [Accepted: 01/11/2023] [Indexed: 01/20/2023] Open
Abstract
BACKGROUND High-order chromatin structure plays important roles in gene regulation. However, the diversity of the three-dimensional (3D) genome across plant accessions are seldom reported. RESULTS Here, we perform the pan-3D genome analysis using Hi-C sequencing data from 27 soybean accessions and comprehensively investigate the relationships between 3D genomic variations and structural variations (SVs) as well as gene expression. We find that intersection regions between A/B compartments largely contribute to compartment divergence. Topologically associating domain (TAD) boundaries in A compartments exhibit significantly higher density compared to those in B compartments. Pan-3D genome analysis shows that core TAD boundaries have the highest transcription start site (TSS) density and lowest GC content and repeat percentage. Further investigation shows that non-long terminal repeat (non-LTR) retrotransposons play important roles in maintaining TAD boundaries, while Gypsy elements and satellite repeats are associated with private TAD boundaries. Moreover, presence and absence variation (PAV) is found to be the major contributor to 3D genome variations. Nevertheless, approximately 55% of 3D genome variations are not associated with obvious genetic variations, and half of them affect the flanking gene expression. In addition, we find that the 3D genome may also undergo selection during soybean domestication. CONCLUSION Our study sheds light on the role of 3D genomes in plant genetic diversity and provides a valuable resource for studying gene regulation and genome evolution.
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Affiliation(s)
- Lingbin Ni
- State Key Laboratory of Plant Cell and Chromosome Engineering, Institute of Genetics and Developmental Biology, Innovative Academy of Seed Design, Chinese Academy of Sciences, Beijing, 100101, China
- College of Advanced Agriculture Sciences, University of Chinese Academy of Sciences, Beijing, 100049, China
| | - Yucheng Liu
- State Key Laboratory of Plant Cell and Chromosome Engineering, Institute of Genetics and Developmental Biology, Innovative Academy of Seed Design, Chinese Academy of Sciences, Beijing, 100101, China
| | - Xin Ma
- State Key Laboratory of Plant Cell and Chromosome Engineering, Institute of Genetics and Developmental Biology, Innovative Academy of Seed Design, Chinese Academy of Sciences, Beijing, 100101, China
| | - Tengfei Liu
- State Key Laboratory of Plant Cell and Chromosome Engineering, Institute of Genetics and Developmental Biology, Innovative Academy of Seed Design, Chinese Academy of Sciences, Beijing, 100101, China
| | - Xiaoyue Yang
- State Key Laboratory of Plant Cell and Chromosome Engineering, Institute of Genetics and Developmental Biology, Innovative Academy of Seed Design, Chinese Academy of Sciences, Beijing, 100101, China
- College of Advanced Agriculture Sciences, University of Chinese Academy of Sciences, Beijing, 100049, China
| | - Zhao Wang
- State Key Laboratory of Plant Cell and Chromosome Engineering, Institute of Genetics and Developmental Biology, Innovative Academy of Seed Design, Chinese Academy of Sciences, Beijing, 100101, China
- College of Advanced Agriculture Sciences, University of Chinese Academy of Sciences, Beijing, 100049, China
| | - Qianjin Liang
- State Key Laboratory of Plant Cell and Chromosome Engineering, Institute of Genetics and Developmental Biology, Innovative Academy of Seed Design, Chinese Academy of Sciences, Beijing, 100101, China
- College of Advanced Agriculture Sciences, University of Chinese Academy of Sciences, Beijing, 100049, China
| | - Shulin Liu
- State Key Laboratory of Plant Cell and Chromosome Engineering, Institute of Genetics and Developmental Biology, Innovative Academy of Seed Design, Chinese Academy of Sciences, Beijing, 100101, China
| | - Min Zhang
- State Key Laboratory of Plant Cell and Chromosome Engineering, Institute of Genetics and Developmental Biology, Innovative Academy of Seed Design, Chinese Academy of Sciences, Beijing, 100101, China
| | - Zheng Wang
- Beijing Key Laboratory of Vegetable Germplasm Improvement, Beijing Vegetable Research Center, Beijing Academy of Agriculture and Forestry Sciences, Beijing, 100097, China
| | - Yanting Shen
- State Key Laboratory of Plant Cell and Chromosome Engineering, Institute of Genetics and Developmental Biology, Innovative Academy of Seed Design, Chinese Academy of Sciences, Beijing, 100101, China
| | - Zhixi Tian
- State Key Laboratory of Plant Cell and Chromosome Engineering, Institute of Genetics and Developmental Biology, Innovative Academy of Seed Design, Chinese Academy of Sciences, Beijing, 100101, China.
- College of Advanced Agriculture Sciences, University of Chinese Academy of Sciences, Beijing, 100049, China.
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