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Chen W, Wang X, Sun J, Wang X, Zhu Z, Ayhan DH, Yi S, Yan M, Zhang L, Meng T, Mu Y, Li J, Meng D, Bian J, Wang K, Wang L, Chen S, Chen R, Jin J, Li B, Zhang X, Deng XW, He H, Guo L. Two telomere-to-telomere gapless genomes reveal insights into Capsicum evolution and capsaicinoid biosynthesis. Nat Commun 2024; 15:4295. [PMID: 38769327 PMCID: PMC11106260 DOI: 10.1038/s41467-024-48643-0] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/11/2023] [Accepted: 05/08/2024] [Indexed: 05/22/2024] Open
Abstract
Chili pepper (Capsicum) is known for its unique fruit pungency due to the presence of capsaicinoids. The evolutionary history of capsaicinoid biosynthesis and the mechanism of their tissue specificity remain obscure due to the lack of high-quality Capsicum genomes. Here, we report two telomere-to-telomere (T2T) gap-free genomes of C. annuum and its wild nonpungent relative C. rhomboideum to investigate the evolution of fruit pungency in chili peppers. We precisely delineate Capsicum centromeres, which lack high-copy tandem repeats but are extensively invaded by CRM retrotransposons. Through phylogenomic analyses, we estimate the evolutionary timing of capsaicinoid biosynthesis. We reveal disrupted coding and regulatory regions of key biosynthesis genes in nonpungent species. We also find conserved placenta-specific accessible chromatin regions, which likely allow for tissue-specific biosynthetic gene coregulation and capsaicinoid accumulation. These T2T genomic resources will accelerate chili pepper genetic improvement and help to understand Capsicum genome evolution.
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Affiliation(s)
- Weikai Chen
- Peking University Institute of Advanced Agricultural Sciences, Shandong Laboratory of Advanced Agricultural Sciences in Weifang, Weifang, 261325, China
| | - Xiangfeng Wang
- Peking University Institute of Advanced Agricultural Sciences, Shandong Laboratory of Advanced Agricultural Sciences in Weifang, Weifang, 261325, China
| | - Jie Sun
- Peking University Institute of Advanced Agricultural Sciences, Shandong Laboratory of Advanced Agricultural Sciences in Weifang, Weifang, 261325, China
| | - Xinrui Wang
- Peking University Institute of Advanced Agricultural Sciences, Shandong Laboratory of Advanced Agricultural Sciences in Weifang, Weifang, 261325, China
| | - Zhangsheng Zhu
- Peking University Institute of Advanced Agricultural Sciences, Shandong Laboratory of Advanced Agricultural Sciences in Weifang, Weifang, 261325, China
- College of Horticulture, South China Agricultural University, Guangzhou, 510642, China
| | - Dilay Hazal Ayhan
- Peking University Institute of Advanced Agricultural Sciences, Shandong Laboratory of Advanced Agricultural Sciences in Weifang, Weifang, 261325, China
| | - Shu Yi
- Peking University Institute of Advanced Agricultural Sciences, Shandong Laboratory of Advanced Agricultural Sciences in Weifang, Weifang, 261325, China
| | - Ming Yan
- Peking University Institute of Advanced Agricultural Sciences, Shandong Laboratory of Advanced Agricultural Sciences in Weifang, Weifang, 261325, China
| | - Lili Zhang
- Peking University Institute of Advanced Agricultural Sciences, Shandong Laboratory of Advanced Agricultural Sciences in Weifang, Weifang, 261325, China
- College of Modern Agriculture and Environment, Weifang Institute of Technology, Weifang, 262500, China
| | - Tan Meng
- Peking University Institute of Advanced Agricultural Sciences, Shandong Laboratory of Advanced Agricultural Sciences in Weifang, Weifang, 261325, China
| | - Yu Mu
- Peking University Institute of Advanced Agricultural Sciences, Shandong Laboratory of Advanced Agricultural Sciences in Weifang, Weifang, 261325, China
| | - Jun Li
- Peking University Institute of Advanced Agricultural Sciences, Shandong Laboratory of Advanced Agricultural Sciences in Weifang, Weifang, 261325, China
| | - Dian Meng
- Peking University Institute of Advanced Agricultural Sciences, Shandong Laboratory of Advanced Agricultural Sciences in Weifang, Weifang, 261325, China
| | - Jianxin Bian
- Peking University Institute of Advanced Agricultural Sciences, Shandong Laboratory of Advanced Agricultural Sciences in Weifang, Weifang, 261325, China
| | - Ke Wang
- Peking University Institute of Advanced Agricultural Sciences, Shandong Laboratory of Advanced Agricultural Sciences in Weifang, Weifang, 261325, China
- College of Life Sciences, Shandong Agricultural University, Tai'an, 271018, China
| | - Lu Wang
- Peking University Institute of Advanced Agricultural Sciences, Shandong Laboratory of Advanced Agricultural Sciences in Weifang, Weifang, 261325, China
| | - Shaoying Chen
- Peking University Institute of Advanced Agricultural Sciences, Shandong Laboratory of Advanced Agricultural Sciences in Weifang, Weifang, 261325, China
| | - Ruidong Chen
- Peking University Institute of Advanced Agricultural Sciences, Shandong Laboratory of Advanced Agricultural Sciences in Weifang, Weifang, 261325, China
| | - Jingyun Jin
- Peking University Institute of Advanced Agricultural Sciences, Shandong Laboratory of Advanced Agricultural Sciences in Weifang, Weifang, 261325, China
| | - Bosheng Li
- Peking University Institute of Advanced Agricultural Sciences, Shandong Laboratory of Advanced Agricultural Sciences in Weifang, Weifang, 261325, China
| | - Xingping Zhang
- Peking University Institute of Advanced Agricultural Sciences, Shandong Laboratory of Advanced Agricultural Sciences in Weifang, Weifang, 261325, China
| | - Xing Wang Deng
- Peking University Institute of Advanced Agricultural Sciences, Shandong Laboratory of Advanced Agricultural Sciences in Weifang, Weifang, 261325, China
- Peking-Tsinghua Center for Life Sciences, Peking University, Beijing, 100871, China
| | - Hang He
- Peking University Institute of Advanced Agricultural Sciences, Shandong Laboratory of Advanced Agricultural Sciences in Weifang, Weifang, 261325, China.
- Peking-Tsinghua Center for Life Sciences, Peking University, Beijing, 100871, China.
| | - Li Guo
- Peking University Institute of Advanced Agricultural Sciences, Shandong Laboratory of Advanced Agricultural Sciences in Weifang, Weifang, 261325, China.
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McEvoy SL, Grady PGS, Pauloski N, O'Neill RJ, Wegrzyn JL. Profiling genome-wide methylation in two maples: Fine-scale approaches to detection with nanopore technology. Evol Appl 2024; 17:e13669. [PMID: 38633133 PMCID: PMC11022628 DOI: 10.1111/eva.13669] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/14/2023] [Revised: 02/04/2024] [Accepted: 02/12/2024] [Indexed: 04/19/2024] Open
Abstract
DNA methylation is critical to the regulation of transposable elements and gene expression and can play an important role in the adaptation of stress response mechanisms in plants. Traditional methods of methylation quantification rely on bisulfite conversion that can compromise accuracy. Recent advances in long-read sequencing technologies allow for methylation detection in real time. The associated algorithms that interpret these modifications have evolved from strictly statistical approaches to Hidden Markov Models and, recently, deep learning approaches. Much of the existing software focuses on methylation in the CG context, but methylation in other contexts is important to quantify, as it is extensively leveraged in plants. Here, we present methylation profiles for two maple species across the full range of 5mC sequence contexts using Oxford Nanopore Technologies (ONT) long-reads. Hybrid and reference-guided assemblies were generated for two new Acer accessions: Acer negundo (box elder; 65x ONT and 111X Illumina) and Acer saccharum (sugar maple; 93x ONT and 148X Illumina). The ONT reads generated for these assemblies were re-basecalled, and methylation detection was conducted in a custom pipeline with the published Acer references (PacBio assemblies) and hybrid assemblies reported herein to generate four epigenomes. Examination of the transposable element landscape revealed the dominance of LTR Copia elements and patterns of methylation associated with different classes of TEs. Methylation distributions were examined at high resolution across gene and repeat density and described within the broader angiosperm context, and more narrowly in the context of gene family dynamics and candidate nutrient stress genes.
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Affiliation(s)
- Susan L. McEvoy
- Department of Ecology and Evolutionary BiologyUniversity of ConnecticutStorrsConnecticutUSA
- Department of Forest SciencesUniversity of HelsinkiHelsinkiFinland
| | - Patrick G. S. Grady
- Department of Molecular and Cell BiologyUniversity of ConnecticutStorrsConnecticutUSA
| | - Nicole Pauloski
- Department of Molecular and Cell BiologyUniversity of ConnecticutStorrsConnecticutUSA
- Institute for Systems GenomicsUniversity of ConnecticutStorrsConnecticutUSA
| | - Rachel J. O'Neill
- Department of Molecular and Cell BiologyUniversity of ConnecticutStorrsConnecticutUSA
- Institute for Systems GenomicsUniversity of ConnecticutStorrsConnecticutUSA
| | - Jill L. Wegrzyn
- Department of Ecology and Evolutionary BiologyUniversity of ConnecticutStorrsConnecticutUSA
- Institute for Systems GenomicsUniversity of ConnecticutStorrsConnecticutUSA
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Wen X, Chen Z, Yang Z, Wang M, Jin S, Wang G, Zhang L, Wang L, Li J, Saeed S, He S, Wang Z, Wang K, Kong Z, Li F, Zhang X, Chen X, Zhu Y. A comprehensive overview of cotton genomics, biotechnology and molecular biological studies. SCIENCE CHINA. LIFE SCIENCES 2023; 66:2214-2256. [PMID: 36899210 DOI: 10.1007/s11427-022-2278-0] [Citation(s) in RCA: 28] [Impact Index Per Article: 28.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 10/28/2022] [Accepted: 01/09/2023] [Indexed: 03/12/2023]
Abstract
Cotton is an irreplaceable economic crop currently domesticated in the human world for its extremely elongated fiber cells specialized in seed epidermis, which makes it of high research and application value. To date, numerous research on cotton has navigated various aspects, from multi-genome assembly, genome editing, mechanism of fiber development, metabolite biosynthesis, and analysis to genetic breeding. Genomic and 3D genomic studies reveal the origin of cotton species and the spatiotemporal asymmetric chromatin structure in fibers. Mature multiple genome editing systems, such as CRISPR/Cas9, Cas12 (Cpf1) and cytidine base editing (CBE), have been widely used in the study of candidate genes affecting fiber development. Based on this, the cotton fiber cell development network has been preliminarily drawn. Among them, the MYB-bHLH-WDR (MBW) transcription factor complex and IAA and BR signaling pathway regulate the initiation; various plant hormones, including ethylene, mediated regulatory network and membrane protein overlap fine-regulate elongation. Multistage transcription factors targeting CesA 4, 7, and 8 specifically dominate the whole process of secondary cell wall thickening. And fluorescently labeled cytoskeletal proteins can observe real-time dynamic changes in fiber development. Furthermore, research on the synthesis of cotton secondary metabolite gossypol, resistance to diseases and insect pests, plant architecture regulation, and seed oil utilization are all conducive to finding more high-quality breeding-related genes and subsequently facilitating the cultivation of better cotton varieties. This review summarizes the paramount research achievements in cotton molecular biology over the last few decades from the above aspects, thereby enabling us to conduct a status review on the current studies of cotton and provide strong theoretical support for the future direction.
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Affiliation(s)
- Xingpeng Wen
- Institute for Advanced Studies, Wuhan University, Wuhan, 430072, China
- College of Life Sciences, Wuhan University, Wuhan, 430072, China
| | - Zhiwen Chen
- National Key Laboratory of Plant Molecular Genetics, CAS Center for Excellence in Molecular Plant Sciences, University of CAS, Chinese Academy of Sciences, Shanghai, 200032, China
- Hainan Yazhou Bay Seed Laboratory, Sanya, 572025, China
| | - Zuoren Yang
- State Key Laboratory of Cotton Biology, Institute of Cotton Research, Chinese Academy of Agricultural Sciences, Anyang, 455000, China
| | - Maojun Wang
- Hubei Hongshan Laboratory, National Key Laboratory of Crop Genetic Improvement, College of Plant Science and Technology, Huazhong Agricultural University, Wuhan, 430070, China
| | - Shuangxia Jin
- Hubei Hongshan Laboratory, National Key Laboratory of Crop Genetic Improvement, College of Plant Science and Technology, Huazhong Agricultural University, Wuhan, 430070, China
| | - Guangda Wang
- State Key Laboratory of Plant Genomics, Institute of Microbiology, Innovative Academy of Seed Design, Chinese Academy of Sciences, Beijing, 100101, China
| | - Li Zhang
- Institute for Advanced Studies, Wuhan University, Wuhan, 430072, China
| | - Lingjian Wang
- National Key Laboratory of Plant Molecular Genetics, CAS Center for Excellence in Molecular Plant Sciences, University of CAS, Chinese Academy of Sciences, Shanghai, 200032, China
| | - Jianying Li
- Hubei Hongshan Laboratory, National Key Laboratory of Crop Genetic Improvement, College of Plant Science and Technology, Huazhong Agricultural University, Wuhan, 430070, China
| | - Sumbul Saeed
- Hubei Hongshan Laboratory, National Key Laboratory of Crop Genetic Improvement, College of Plant Science and Technology, Huazhong Agricultural University, Wuhan, 430070, China
| | - Shoupu He
- State Key Laboratory of Cotton Biology, Institute of Cotton Research, Chinese Academy of Agricultural Sciences, Anyang, 455000, China
| | - Zhi Wang
- State Key Laboratory of Cotton Biology, Institute of Cotton Research, Chinese Academy of Agricultural Sciences, Anyang, 455000, China
| | - Kun Wang
- College of Life Sciences, Wuhan University, Wuhan, 430072, China
| | - Zhaosheng Kong
- State Key Laboratory of Plant Genomics, Institute of Microbiology, Innovative Academy of Seed Design, Chinese Academy of Sciences, Beijing, 100101, China.
- Shanxi Agricultural University, Jinzhong, 030801, China.
| | - Fuguang Li
- State Key Laboratory of Cotton Biology, Institute of Cotton Research, Chinese Academy of Agricultural Sciences, Anyang, 455000, China.
| | - Xianlong Zhang
- Hubei Hongshan Laboratory, National Key Laboratory of Crop Genetic Improvement, College of Plant Science and Technology, Huazhong Agricultural University, Wuhan, 430070, China.
| | - Xiaoya Chen
- National Key Laboratory of Plant Molecular Genetics, CAS Center for Excellence in Molecular Plant Sciences, University of CAS, Chinese Academy of Sciences, Shanghai, 200032, China.
- Hainan Yazhou Bay Seed Laboratory, Sanya, 572025, China.
| | - Yuxian Zhu
- Institute for Advanced Studies, Wuhan University, Wuhan, 430072, China.
- College of Life Sciences, Wuhan University, Wuhan, 430072, China.
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4
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Zhang L, Liang J, Chen H, Zhang Z, Wu J, Wang X. A near-complete genome assembly of Brassica rapa provides new insights into the evolution of centromeres. PLANT BIOTECHNOLOGY JOURNAL 2023; 21:1022-1032. [PMID: 36688739 PMCID: PMC10106856 DOI: 10.1111/pbi.14015] [Citation(s) in RCA: 15] [Impact Index Per Article: 15.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 07/17/2022] [Revised: 01/06/2023] [Accepted: 01/14/2023] [Indexed: 05/04/2023]
Abstract
Brassica rapa comprises many important cultivated vegetables and oil crops. However, Chiifu v3.0, the current B. rapa reference genome, still contains hundreds of gaps. Here, we presented a near-complete genome assembly of B. rapa Chiifu v4.0, which was 424.59 Mb with only two gaps, using Oxford Nanopore Technology (ONT) ultralong-read sequencing and Hi-C technologies. The new assembly contains 12 contigs, with a contig N50 of 38.26 Mb. Eight of the ten chromosomes were entirely reconstructed in a single contig from telomere to telomere. We found that the centromeres were mainly invaded by ALE and CRM long terminal repeats (LTRs). Moreover, there is a high divergence of centromere length and sequence among B. rapa genomes. We further found that centromeres are enriched for Copia invaded at 0.14 MYA on average, while pericentromeres are enriched for Gypsy LTRs invaded at 0.51 MYA on average. These results indicated the different invasion mechanisms of LTRs between the two structures. In addition, a novel repetitive sequence PCR630 was identified in the pericentromeres of B. rapa. Overall, the near-complete genome assembly, B. rapa Chiifu v4.0, offers valuable tools for genomic and genetic studies of Brassica species and provides new insights into the evolution of centromeres.
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Affiliation(s)
- Lei Zhang
- State Key Laboratory of Vegetable Biobreeding, Institute of Vegetables and FlowersChinese Academy of Agricultural SciencesBeijingChina
| | - Jianli Liang
- State Key Laboratory of Vegetable Biobreeding, Institute of Vegetables and FlowersChinese Academy of Agricultural SciencesBeijingChina
| | - Haixu Chen
- State Key Laboratory of Vegetable Biobreeding, Institute of Vegetables and FlowersChinese Academy of Agricultural SciencesBeijingChina
| | - Zhicheng Zhang
- State Key Laboratory of Vegetable Biobreeding, Institute of Vegetables and FlowersChinese Academy of Agricultural SciencesBeijingChina
| | - Jian Wu
- State Key Laboratory of Vegetable Biobreeding, Institute of Vegetables and FlowersChinese Academy of Agricultural SciencesBeijingChina
| | - Xiaowu Wang
- State Key Laboratory of Vegetable Biobreeding, Institute of Vegetables and FlowersChinese Academy of Agricultural SciencesBeijingChina
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Yang Z, Gao C, Zhang Y, Yan Q, Hu W, Yang L, Wang Z, Li F. Recent progression and future perspectives in cotton genomic breeding. JOURNAL OF INTEGRATIVE PLANT BIOLOGY 2023; 65:548-569. [PMID: 36226594 DOI: 10.1111/jipb.13388] [Citation(s) in RCA: 14] [Impact Index Per Article: 14.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 08/23/2022] [Accepted: 10/11/2022] [Indexed: 05/26/2023]
Abstract
Upland cotton is an important global cash crop for its long seed fibers and high edible oil and protein content. Progress in cotton genomics promotes the advancement of cotton genetics, evolutionary studies, functional genetics, and breeding, and has ushered cotton research and breeding into a new era. Here, we summarize high-impact genomics studies for cotton from the last 10 years. The diploid Gossypium arboreum and allotetraploid Gossypium hirsutum are the main focus of most genetic and genomic studies. We next review recent progress in cotton molecular biology and genetics, which builds on cotton genome sequencing efforts, population studies, and functional genomics, to provide insights into the mechanisms shaping abiotic and biotic stress tolerance, plant architecture, seed oil content, and fiber development. We also suggest the application of novel technologies and strategies to facilitate genome-based crop breeding. Explosive growth in the amount of novel genomic data, identified genes, gene modules, and pathways is now enabling researchers to utilize multidisciplinary genomics-enabled breeding strategies to cultivate "super cotton", synergistically improving multiple traits. These strategies must rise to meet urgent demands for a sustainable cotton industry.
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Affiliation(s)
- Zhaoen Yang
- Zhengzhou Research Base, State Key Laboratory of Cotton Biology, School of Agricultural Sciences, Zhengzhou University, Zhengzhou, 450000, China
- State Key Laboratory of Cotton Biology, Institute of Cotton Research of the Chinese Academy of Agricultural Sciences, Anyang, 455000, China
| | - Chenxu Gao
- Zhengzhou Research Base, State Key Laboratory of Cotton Biology, School of Agricultural Sciences, Zhengzhou University, Zhengzhou, 450000, China
| | - Yihao Zhang
- Zhengzhou Research Base, State Key Laboratory of Cotton Biology, School of Agricultural Sciences, Zhengzhou University, Zhengzhou, 450000, China
| | - Qingdi Yan
- State Key Laboratory of Cotton Biology, Institute of Cotton Research of the Chinese Academy of Agricultural Sciences, Anyang, 455000, China
| | - Wei Hu
- Zhengzhou Research Base, State Key Laboratory of Cotton Biology, School of Agricultural Sciences, Zhengzhou University, Zhengzhou, 450000, China
| | - Lan Yang
- State Key Laboratory of Cotton Biology, Institute of Cotton Research of the Chinese Academy of Agricultural Sciences, Anyang, 455000, China
| | - Zhi Wang
- Zhengzhou Research Base, State Key Laboratory of Cotton Biology, School of Agricultural Sciences, Zhengzhou University, Zhengzhou, 450000, China
- State Key Laboratory of Cotton Biology, Institute of Cotton Research of the Chinese Academy of Agricultural Sciences, Anyang, 455000, China
- National Nanfan Research Institute (Sanya), Chinese Academy of Agricultural Sciences, Sanya, 572000, China
- Sanya Institute, Zhengzhou University, Sanya, 572000, China
| | - Fuguang Li
- Zhengzhou Research Base, State Key Laboratory of Cotton Biology, School of Agricultural Sciences, Zhengzhou University, Zhengzhou, 450000, China
- State Key Laboratory of Cotton Biology, Institute of Cotton Research of the Chinese Academy of Agricultural Sciences, Anyang, 455000, China
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6
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Chávez Montes RA, Ulloa M, Biniashvili T, Zackay A, Kfir N, Lopez-Arredondo D, Herrera-Estrella L. Assembly and annotation of the Gossypium barbadense L. 'Pima-S6' genome raise questions about the chromosome structure and gene content of Gossypium barbadense genomes. BMC Genomics 2023; 24:11. [PMID: 36627552 PMCID: PMC9830710 DOI: 10.1186/s12864-022-09102-6] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/27/2022] [Accepted: 12/28/2022] [Indexed: 01/12/2023] Open
Abstract
BACKGROUND Gossypium barbadense L. Pima cotton is known for its resistance to Fusarium wilt and for producing fibers of superior quality highly prized in the textile market. We report a high-quality genome assembly and annotation of Pima-S6 cotton and its comparison at the chromosome and protein level to other ten Gossypium published genome assemblies. RESULTS Synteny and orthogroup analyses revealed important differences on chromosome structure and annotated proteins content between our Pima-S6 and other publicly available G. barbadense assemblies, and across Gossypium assemblies in general. Detailed synteny analyses revealed chromosomal rearrangements between Pima-S6 and other Pima genomes on several chromosomes, with three major inversions in chromosomes A09, A13 and D05, raising questions about the true chromosome structure of Gossypium barbadense genomes. CONCLUSION Analyses of the re-assembled and re-annotated genome of the close relative G. barbadense Pima 3-79 using our Pima-S6 assembly suggest that contig placement of some recent G. barbadense assemblies might have been unduly influenced by the use of the G. hirsutum TM-1 genome as the anchoring reference. The Pima-S6 reference genome provides a valuable genomic resource and offers new insights on genomic structure, and can serve as G. barbadense genome reference for future assemblies and further support FOV4-related studies and breeding efforts.
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Affiliation(s)
- Ricardo A. Chávez Montes
- grid.264784.b0000 0001 2186 7496Institute of Genomics for Crop Abiotic Stress Tolerance, Plant and Soil Science Department, Texas Tech University, 79409 Lubbock, TX USA
| | - Mauricio Ulloa
- grid.508981.dPlant Stress and Germplasm Development Research, USDA-ARS, PA, CSRL, 79415 Lubbock, TX USA
| | | | | | | | - Damar Lopez-Arredondo
- grid.264784.b0000 0001 2186 7496Institute of Genomics for Crop Abiotic Stress Tolerance, Plant and Soil Science Department, Texas Tech University, 79409 Lubbock, TX USA
| | - Luis Herrera-Estrella
- grid.264784.b0000 0001 2186 7496Institute of Genomics for Crop Abiotic Stress Tolerance, Plant and Soil Science Department, Texas Tech University, 79409 Lubbock, TX USA ,grid.512574.0 Unidad de Genómica Avanzada/Langebio, Centro de Investigación y de Estudios Avanzados del Instituto Politécnico Nacional, 36821 Irapuato, Mexico
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7
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Non-B-form DNA tends to form in centromeric regions and has undergone changes in polyploid oat subgenomes. Proc Natl Acad Sci U S A 2023; 120:e2211683120. [PMID: 36574697 PMCID: PMC9910436 DOI: 10.1073/pnas.2211683120] [Citation(s) in RCA: 9] [Impact Index Per Article: 9.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/28/2022] Open
Abstract
Centromeres are the specialized regions of the chromosomes that direct faithful chromosome segregation during cell division. Despite their functional conservation, centromeres display features of rapidly evolving DNA and wide evolutionary diversity in size and organization. Previous work found that the noncanonical B-form DNA structures are abundant in the centromeres of several eukaryotic species with a possible implication for centromere specification. Thus far, systematic studies into the organization and function of non-B-form DNA in plants remain scarce. Here, we applied the oat system to investigate the role of non-B-form DNA in centromeres. We conducted chromatin immunoprecipitation sequencing using an antibody to the centromere-specific histone H3 variant (CENH3); this accurately positioned oat centromeres with different ploidy levels and identified a series of centromere-specific sequences including minisatellites and retrotransposons. To define genetic characteristics of oat centromeres, we surveyed the repeat sequences and found that dyad symmetries were abundant in oat centromeres and were predicted to form non-B-DNA structures in vivo. These structures including bent DNA, slipped DNA, Z-DNA, G-quadruplexes, and R-loops were prone to form within CENH3-binding regions. Dynamic conformational changes of predicted non-B-DNA occurred during the evolution from diploid to tetraploid to hexaploid oat. Furthermore, we applied the single-molecule technique of AFM and DNA:RNA immunoprecipitation with deep sequencing to validate R-loop enrichment in oat centromeres. Centromeric retrotransposons exhibited strong associations with R-loop formation. Taken together, our study elucidates the fundamental character of non-B-form DNA in the oat genome and reveals its potential role in centromeres.
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8
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Wang M, Li J, Qi Z, Long Y, Pei L, Huang X, Grover CE, Du X, Xia C, Wang P, Liu Z, You J, Tian X, Ma Y, Wang R, Chen X, He X, Fang DD, Sun Y, Tu L, Jin S, Zhu L, Wendel JF, Zhang X. Genomic innovation and regulatory rewiring during evolution of the cotton genus Gossypium. Nat Genet 2022; 54:1959-1971. [PMID: 36474047 DOI: 10.1038/s41588-022-01237-2] [Citation(s) in RCA: 23] [Impact Index Per Article: 11.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/10/2022] [Accepted: 10/20/2022] [Indexed: 12/13/2022]
Abstract
Phenotypic diversity and evolutionary innovation ultimately trace to variation in genomic sequence and rewiring of regulatory networks. Here, we constructed a pan-genome of the Gossypium genus using ten representative diploid genomes. We document the genomic evolutionary history and the impact of lineage-specific transposon amplification on differential genome composition. The pan-3D genome reveals evolutionary connections between transposon-driven genome size variation and both higher-order chromatin structure reorganization and the rewiring of chromatin interactome. We linked changes in chromatin structures to phenotypic differences in cotton fiber and identified regulatory variations that decode the genetic basis of fiber length, the latter enabled by sequencing 1,005 transcriptomes during fiber development. We showcase how pan-genomic, pan-3D genomic and genetic regulatory data serve as a resource for delineating the evolutionary basis of spinnable cotton fiber. Our work provides insights into the evolution of genome organization and regulation and will inform cotton improvement by enabling regulome-based approaches.
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Affiliation(s)
- Maojun Wang
- National Key Laboratory of Crop Genetic Improvement, Hubei Hongshan Laboratory, Huazhong Agricultural University, Wuhan, China
| | - Jianying Li
- National Key Laboratory of Crop Genetic Improvement, Hubei Hongshan Laboratory, Huazhong Agricultural University, Wuhan, China
| | - Zhengyang Qi
- National Key Laboratory of Crop Genetic Improvement, Hubei Hongshan Laboratory, Huazhong Agricultural University, Wuhan, China
| | - Yuexuan Long
- National Key Laboratory of Crop Genetic Improvement, Hubei Hongshan Laboratory, Huazhong Agricultural University, Wuhan, China
| | - Liuling Pei
- National Key Laboratory of Crop Genetic Improvement, Hubei Hongshan Laboratory, Huazhong Agricultural University, Wuhan, China
| | - Xianhui Huang
- National Key Laboratory of Crop Genetic Improvement, Hubei Hongshan Laboratory, Huazhong Agricultural University, Wuhan, China
| | - Corrinne E Grover
- Department of Ecology, Evolution, and Organismal Biology, Iowa State University, Ames, IA, USA
| | - Xiongming Du
- State Key Laboratory of Cotton Biology, Institute of Cotton Research, Chinese Academy of Agricultural Sciences, Anyang, China
| | - Chunjiao Xia
- College of Life Science and Technology, Huazhong Agricultural University, Wuhan, China
| | - Pengcheng Wang
- National Key Laboratory of Crop Genetic Improvement, Hubei Hongshan Laboratory, Huazhong Agricultural University, Wuhan, China
| | - Zhenping Liu
- National Key Laboratory of Crop Genetic Improvement, Hubei Hongshan Laboratory, Huazhong Agricultural University, Wuhan, China
| | - Jiaqi You
- National Key Laboratory of Crop Genetic Improvement, Hubei Hongshan Laboratory, Huazhong Agricultural University, Wuhan, China
| | - Xuehan Tian
- National Key Laboratory of Crop Genetic Improvement, Hubei Hongshan Laboratory, Huazhong Agricultural University, Wuhan, China
| | - Yizan Ma
- National Key Laboratory of Crop Genetic Improvement, Hubei Hongshan Laboratory, Huazhong Agricultural University, Wuhan, China
| | - Ruipeng Wang
- National Key Laboratory of Crop Genetic Improvement, Hubei Hongshan Laboratory, Huazhong Agricultural University, Wuhan, China
| | - Xinyuan Chen
- National Key Laboratory of Crop Genetic Improvement, Hubei Hongshan Laboratory, Huazhong Agricultural University, Wuhan, China
| | - Xin He
- National Key Laboratory of Crop Genetic Improvement, Hubei Hongshan Laboratory, Huazhong Agricultural University, Wuhan, China
| | - David D Fang
- Cotton Fiber Bioscience Research Unit, USDA-ARS, Southern Regional Research Center, New Orleans, LA, USA
| | - Yuqiang Sun
- Zhejiang Sci-Tech University College of Life Sciences, Zhejiang, Hangzhou, China
| | - Lili Tu
- National Key Laboratory of Crop Genetic Improvement, Hubei Hongshan Laboratory, Huazhong Agricultural University, Wuhan, China
| | - Shuangxia Jin
- National Key Laboratory of Crop Genetic Improvement, Hubei Hongshan Laboratory, Huazhong Agricultural University, Wuhan, China
| | - Longfu Zhu
- 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, USA.
| | - Xianlong Zhang
- National Key Laboratory of Crop Genetic Improvement, Hubei Hongshan Laboratory, Huazhong Agricultural University, Wuhan, China.
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Chen Y, Feng J, Qu Y, Zhang J, Zhang L, Liang D, Yang Y, Huang J. Genome-wide identification and functional analysis of class III peroxidases in Gossypium hirsutum. PeerJ 2022; 10:e13635. [PMID: 35795174 PMCID: PMC9252181 DOI: 10.7717/peerj.13635] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/30/2021] [Accepted: 06/06/2022] [Indexed: 01/17/2023] Open
Abstract
Class III peroxidase (PRX) genes play essential roles in various processes, such as auxin catabolism, removal of H2O2, crosslinking cell wall components, and response to biotic and abiotic stresses. In this study, we identified 166, 78 and 89 PRX genes from G. hirsutum, G. arboretum and G. raimondii, respectively. These PRX genes were classified into seven subfamilies based on phylogenetic tree analysis and the classification of PRX genes in Arabidopsis. Segmental duplication and purifying selection were the major factors driving the evolution of GhPRXs. GO and KEGG enrichment analysis revealed that GhPRX genes were mainly associated with responding to oxidative stresses, peroxidase activities and phenylpropanoid biosynthesis pathways. Transcriptome data analysis showed that GhPRX genes expression were significantly different in microspore development between the sterility line-JinA and the maintainer line MB177. We confirmed the up-regulation of GhPRX107 and down-regulation of GhPRX128 in the sterile line compared to its maintainer line using qRT-PCR, suggesting their roles in pollen fertility. In addition, silencing GhPRX107 in cotton showed a significant decrease of the reactive oxygen species (ROS) levels of microsporocyte stage anthers compared to control. Overexpressing GhPRX107 in Arabidopsis significantly increased the ROS levels of anthers compared to wild type. In conclusion, we identified GhPRX107 as a determinant of ROS levels in anther. This work sets a foundation for PRX studies in pollen development.
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Zhang Z, Chai M, Yang Z, Yang Z, Fan L. GRAND: An Integrated Genome, Transcriptome Resources, and Gene Network Database for Gossypium. FRONTIERS IN PLANT SCIENCE 2022; 13:773107. [PMID: 35126443 PMCID: PMC8814657 DOI: 10.3389/fpls.2022.773107] [Citation(s) in RCA: 8] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 09/09/2021] [Accepted: 01/04/2022] [Indexed: 05/26/2023]
Abstract
With the increasing amount of cotton omics data, breeding scientists are confronted with the question of how to use massive cotton data to mine effective breeding information. Here, we construct a Gossypium Resource And Network Database (GRAND), which integrates 18 cotton genome sequences, genome annotations, two cotton genome variations information, and also four transcriptomes for Gossypium species. GRAND allows to explore and mine this data with the help of a toolbox that comprises a flexible search system, BLAST and BLAT suite, orthologous gene ID, networks of co-expressed genes, primer design, Gbrowse and Jbrowse, and drawing instruments. GRAND provides important information regarding Gossypium resources and hopefully can accelerate the progress of cultivating cotton varieties.
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Affiliation(s)
- Zhibin Zhang
- State Key Laboratory of Cotton Biology, Institute of Cotton Research, Chinese Academy of Agricultural Sciences, Anyang, China
| | - Mao Chai
- State Key Laboratory of Cotton Biology, Institute of Cotton Research, Chinese Academy of Agricultural Sciences, Anyang, China
| | - Zhaoen Yang
- State Key Laboratory of Cotton Biology, Institute of Cotton Research, Chinese Academy of Agricultural Sciences, Anyang, China
- Zhengzhou Research Base, State Key Laboratory of Cotton Biology, Zhengzhou University, Zhengzhou, China
| | - Zuoren Yang
- State Key Laboratory of Cotton Biology, Institute of Cotton Research, Chinese Academy of Agricultural Sciences, Anyang, China
- Zhengzhou Research Base, State Key Laboratory of Cotton Biology, Zhengzhou University, Zhengzhou, China
| | - Liqiang Fan
- State Key Laboratory of Cotton Biology, Institute of Cotton Research, Chinese Academy of Agricultural Sciences, Anyang, China
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11
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Yu J, Jung S, Cheng CH, Lee T, Zheng P, Buble K, Crabb J, Humann J, Hough H, Jones D, Campbell JT, Udall J, Main D. CottonGen: The Community Database for Cotton Genomics, Genetics, and Breeding Research. PLANTS (BASEL, SWITZERLAND) 2021; 10:plants10122805. [PMID: 34961276 PMCID: PMC8705096 DOI: 10.3390/plants10122805] [Citation(s) in RCA: 34] [Impact Index Per Article: 11.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 11/18/2021] [Revised: 12/11/2021] [Accepted: 12/12/2021] [Indexed: 05/12/2023]
Abstract
Over the last eight years, the volume of whole genome, gene expression, SNP genotyping, and phenotype data generated by the cotton research community has exponentially increased. The efficient utilization/re-utilization of these complex and large datasets for knowledge discovery, translation, and application in crop improvement requires them to be curated, integrated with other types of data, and made available for access and analysis through efficient online search tools. Initiated in 2012, CottonGen is an online community database providing access to integrated peer-reviewed cotton genomic, genetic, and breeding data, and analysis tools. Used by cotton researchers worldwide, and managed by experts with crop-specific knowledge, it continuous to be the logical choice to integrate new data and provide necessary interfaces for information retrieval. The repository in CottonGen contains colleague, gene, genome, genotype, germplasm, map, marker, metabolite, phenotype, publication, QTL, species, transcriptome, and trait data curated by the CottonGen team. The number of data entries housed in CottonGen has increased dramatically, for example, since 2014 there has been an 18-fold increase in genes/mRNAs, a 23-fold increase in whole genomes, and a 372-fold increase in genotype data. New tools include a genetic map viewer, a genome browser, a synteny viewer, a metabolite pathways browser, sequence retrieval, BLAST, and a breeding information management system (BIMS), as well as various search pages for new data types. CottonGen serves as the home to the International Cotton Genome Initiative, managing its elections and serving as a communication and coordination hub for the community. With its extensive curation and integration of data and online tools, CottonGen will continue to facilitate utilization of its critical resources to empower research for cotton crop improvement.
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Affiliation(s)
- Jing Yu
- Department of Horticulture, Washington State University, Pullman, WA 99164, USA; (J.Y.); (S.J.); (C.-H.C.); (T.L.); (P.Z.); (K.B.); (J.C.); (J.H.); (H.H.)
| | - Sook Jung
- Department of Horticulture, Washington State University, Pullman, WA 99164, USA; (J.Y.); (S.J.); (C.-H.C.); (T.L.); (P.Z.); (K.B.); (J.C.); (J.H.); (H.H.)
| | - Chun-Huai Cheng
- Department of Horticulture, Washington State University, Pullman, WA 99164, USA; (J.Y.); (S.J.); (C.-H.C.); (T.L.); (P.Z.); (K.B.); (J.C.); (J.H.); (H.H.)
| | - Taein Lee
- Department of Horticulture, Washington State University, Pullman, WA 99164, USA; (J.Y.); (S.J.); (C.-H.C.); (T.L.); (P.Z.); (K.B.); (J.C.); (J.H.); (H.H.)
| | - Ping Zheng
- Department of Horticulture, Washington State University, Pullman, WA 99164, USA; (J.Y.); (S.J.); (C.-H.C.); (T.L.); (P.Z.); (K.B.); (J.C.); (J.H.); (H.H.)
| | - Katheryn Buble
- Department of Horticulture, Washington State University, Pullman, WA 99164, USA; (J.Y.); (S.J.); (C.-H.C.); (T.L.); (P.Z.); (K.B.); (J.C.); (J.H.); (H.H.)
| | - James Crabb
- Department of Horticulture, Washington State University, Pullman, WA 99164, USA; (J.Y.); (S.J.); (C.-H.C.); (T.L.); (P.Z.); (K.B.); (J.C.); (J.H.); (H.H.)
| | - Jodi Humann
- Department of Horticulture, Washington State University, Pullman, WA 99164, USA; (J.Y.); (S.J.); (C.-H.C.); (T.L.); (P.Z.); (K.B.); (J.C.); (J.H.); (H.H.)
| | - Heidi Hough
- Department of Horticulture, Washington State University, Pullman, WA 99164, USA; (J.Y.); (S.J.); (C.-H.C.); (T.L.); (P.Z.); (K.B.); (J.C.); (J.H.); (H.H.)
| | - Don Jones
- Cotton Incorporated, Cary, NC 27513, USA;
| | - J. Todd Campbell
- The Agricultural Research Service of U.S. Department of Agriculture, Florence, SC 29501, USA;
| | - Josh Udall
- The Agricultural Research Service of U.S. Department of Agriculture, College Station, TX 77845, USA;
| | - Dorrie Main
- Department of Horticulture, Washington State University, Pullman, WA 99164, USA; (J.Y.); (S.J.); (C.-H.C.); (T.L.); (P.Z.); (K.B.); (J.C.); (J.H.); (H.H.)
- Correspondence: ; Tel.: +1-509-335-2774
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12
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Liu H, Yan XM, Wang XR, Zhang DX, Zhou Q, Shi TL, Jia KH, Tian XC, Zhou SS, Zhang RG, Yun QZ, Wang Q, Xiang Q, Mannapperuma C, Van Zalen E, Street NR, Porth I, El-Kassaby YA, Zhao W, Wang XR, Guan W, Mao JF. Centromere-Specific Retrotransposons and Very-Long-Chain Fatty Acid Biosynthesis in the Genome of Yellowhorn ( Xanthoceras sorbifolium, Sapindaceae), an Oil-Producing Tree With Significant Drought Resistance. FRONTIERS IN PLANT SCIENCE 2021; 12:766389. [PMID: 34880890 PMCID: PMC8647845 DOI: 10.3389/fpls.2021.766389] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 09/02/2021] [Accepted: 10/18/2021] [Indexed: 05/17/2023]
Abstract
In-depth genome characterization is still lacking for most of biofuel crops, especially for centromeres, which play a fundamental role during nuclear division and in the maintenance of genome stability. This study applied long-read sequencing technologies to assemble a highly contiguous genome for yellowhorn (Xanthoceras sorbifolium), an oil-producing tree, and conducted extensive comparative analyses to understand centromere structure and evolution, and fatty acid biosynthesis. We produced a reference-level genome of yellowhorn, ∼470 Mb in length with ∼95% of contigs anchored onto 15 chromosomes. Genome annotation identified 22,049 protein-coding genes and 65.7% of the genome sequence as repetitive elements. Long terminal repeat retrotransposons (LTR-RTs) account for ∼30% of the yellowhorn genome, which is maintained by a moderate birth rate and a low removal rate. We identified the centromeric regions on each chromosome and found enrichment of centromere-specific retrotransposons of LINE1 and Gypsy in these regions, which have evolved recently (∼0.7 MYA). We compared the genomes of three cultivars and found frequent inversions. We analyzed the transcriptomes from different tissues and identified the candidate genes involved in very-long-chain fatty acid biosynthesis and their expression profiles. Collinear block analysis showed that yellowhorn shared the gamma (γ) hexaploidy event with Vitis vinifera but did not undergo any further whole-genome duplication. This study provides excellent genomic resources for understanding centromere structure and evolution and for functional studies in this important oil-producing plant.
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Affiliation(s)
- Hui Liu
- National Engineering Laboratory for Tree Breeding, Beijing Advanced Innovation Center for Tree Breeding by Molecular Design, Key Laboratory of Genetics and Breeding in Forest Trees and Ornamental Plants, Ministry of Education, School of Ecology and Nature Conservation, College of Biological Sciences and Technology, Beijing Forestry University, Beijing, China
| | - Xue-Mei Yan
- National Engineering Laboratory for Tree Breeding, Beijing Advanced Innovation Center for Tree Breeding by Molecular Design, Key Laboratory of Genetics and Breeding in Forest Trees and Ornamental Plants, Ministry of Education, School of Ecology and Nature Conservation, College of Biological Sciences and Technology, Beijing Forestry University, Beijing, China
| | - Xin-rui Wang
- National Engineering Laboratory for Tree Breeding, Beijing Advanced Innovation Center for Tree Breeding by Molecular Design, Key Laboratory of Genetics and Breeding in Forest Trees and Ornamental Plants, Ministry of Education, School of Ecology and Nature Conservation, College of Biological Sciences and Technology, Beijing Forestry University, Beijing, China
| | - Dong-Xu Zhang
- Protected Agricultural Technology, R&D Center, Shanxi Datong University, Datong, China
| | - Qingyuan Zhou
- Key Laboratory of Plant Resources, Institute of Botany, Chinese Academy of Sciences, Beijing, China
| | - Tian-Le Shi
- National Engineering Laboratory for Tree Breeding, Beijing Advanced Innovation Center for Tree Breeding by Molecular Design, Key Laboratory of Genetics and Breeding in Forest Trees and Ornamental Plants, Ministry of Education, School of Ecology and Nature Conservation, College of Biological Sciences and Technology, Beijing Forestry University, Beijing, China
| | - Kai-Hua Jia
- National Engineering Laboratory for Tree Breeding, Beijing Advanced Innovation Center for Tree Breeding by Molecular Design, Key Laboratory of Genetics and Breeding in Forest Trees and Ornamental Plants, Ministry of Education, School of Ecology and Nature Conservation, College of Biological Sciences and Technology, Beijing Forestry University, Beijing, China
| | - Xue-Chan Tian
- National Engineering Laboratory for Tree Breeding, Beijing Advanced Innovation Center for Tree Breeding by Molecular Design, Key Laboratory of Genetics and Breeding in Forest Trees and Ornamental Plants, Ministry of Education, School of Ecology and Nature Conservation, College of Biological Sciences and Technology, Beijing Forestry University, Beijing, China
| | - Shan-Shan Zhou
- National Engineering Laboratory for Tree Breeding, Beijing Advanced Innovation Center for Tree Breeding by Molecular Design, Key Laboratory of Genetics and Breeding in Forest Trees and Ornamental Plants, Ministry of Education, School of Ecology and Nature Conservation, College of Biological Sciences and Technology, Beijing Forestry University, Beijing, China
| | - Ren-Gang Zhang
- Department of Bioinformatics, Ori (Shandong) Gene Science and Technology Co., Ltd., Weifang, China
| | - Quan-Zheng Yun
- Department of Bioinformatics, Ori (Shandong) Gene Science and Technology Co., Ltd., Weifang, China
| | - Qing Wang
- Key Laboratory of Forest Ecology and Environment of the National Forestry and Grassland Administration, Research Institute of Forest Ecology, Environment and Protection, Chinese Academy of Forestry, Beijing, China
| | - Qiuhong Xiang
- National Engineering Laboratory for Tree Breeding, Beijing Advanced Innovation Center for Tree Breeding by Molecular Design, Key Laboratory of Genetics and Breeding in Forest Trees and Ornamental Plants, Ministry of Education, School of Ecology and Nature Conservation, College of Biological Sciences and Technology, Beijing Forestry University, Beijing, China
| | - Chanaka Mannapperuma
- Umeå Plant Science Centre, Department of Plant Physiology, Umeå University, Umeå, Sweden
| | - Elena Van Zalen
- Umeå Plant Science Centre, Department of Plant Physiology, Umeå University, Umeå, Sweden
| | - Nathaniel R. Street
- Umeå Plant Science Centre, Department of Plant Physiology, Umeå University, Umeå, Sweden
| | - Ilga Porth
- Départment des Sciences du Bois et de la Forêt, Faculté de Foresterie, de Géographie et de Géomatique, Université Laval Québec, Quebec City, QC, Canada
| | - Yousry A. El-Kassaby
- Department of Forest and Conservation Sciences, Faculty of Forestry, University of British Columbia, Vancouver, BC, Canada
| | - Wei Zhao
- National Engineering Laboratory for Tree Breeding, Beijing Advanced Innovation Center for Tree Breeding by Molecular Design, Key Laboratory of Genetics and Breeding in Forest Trees and Ornamental Plants, Ministry of Education, School of Ecology and Nature Conservation, College of Biological Sciences and Technology, Beijing Forestry University, Beijing, China
- Department of Ecology and Environmental Science, Umeå Plant Science Centre, Umeå University, Umeå, Sweden
| | - Xiao-Ru Wang
- National Engineering Laboratory for Tree Breeding, Beijing Advanced Innovation Center for Tree Breeding by Molecular Design, Key Laboratory of Genetics and Breeding in Forest Trees and Ornamental Plants, Ministry of Education, School of Ecology and Nature Conservation, College of Biological Sciences and Technology, Beijing Forestry University, Beijing, China
- Department of Ecology and Environmental Science, Umeå Plant Science Centre, Umeå University, Umeå, Sweden
| | - Wenbin Guan
- National Engineering Laboratory for Tree Breeding, Beijing Advanced Innovation Center for Tree Breeding by Molecular Design, Key Laboratory of Genetics and Breeding in Forest Trees and Ornamental Plants, Ministry of Education, School of Ecology and Nature Conservation, College of Biological Sciences and Technology, Beijing Forestry University, Beijing, China
| | - Jian-Feng Mao
- National Engineering Laboratory for Tree Breeding, Beijing Advanced Innovation Center for Tree Breeding by Molecular Design, Key Laboratory of Genetics and Breeding in Forest Trees and Ornamental Plants, Ministry of Education, School of Ecology and Nature Conservation, College of Biological Sciences and Technology, Beijing Forestry University, Beijing, China
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