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Zhang J, Zhang W, Ding C, Zhao J, Su X, Yuan Z, Chu Y, Huang Q, Su X. Non-Additive Gene Expression in Carbon and Nitrogen Metabolism Drives Growth Heterosis in Populus deltoides. PLANT, CELL & ENVIRONMENT 2025; 48:3529-3543. [PMID: 39789702 PMCID: PMC11963483 DOI: 10.1111/pce.15371] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 09/01/2024] [Revised: 12/18/2024] [Accepted: 12/26/2024] [Indexed: 01/12/2025]
Abstract
Growth heterosis is crucial for Populus deltoides breeding, a key industrial-timber and ecological-construction tree species in temperate regions. However, the molecular mechanisms underlying carbon (C)-nitrogen (N) metabolism coordination in regulating growth heterosis remain unclear. Herein high-hybrids of P. deltoides exhibited high-parent heterosis and mid-parent heterosis in growth traits and key enzymes of C-N metabolism. In hybrids, gene expression patterns were mainly biased toward female parent. Parental contribution to growth heterosis in P. deltoides is differentiation, rather than absolute maternal or paternal dominance contributions. Parental genes were predominantly and dynamically inherited in a non-additive manner, mainly with dominant expression patterns. A total of 44 non-additive genes associated with photosynthetic C fixation, starch and sucrose metabolism, sucrose transport, photorespiration, and nitrogen metabolism coregulated growth heterosis by coordinating C-N metabolism. Growth-regulating factors 4 interacted with DELLA genes to promote growth by enhancing this coordination. Additionally, five critical genes were identified. Briefly, the above genes in high-hybrids improved photosynthesis and N utilisation by regulating carbohydrate accumulation and enzyme activity, while reducing respiratory energy consumption, thereby providing more energy for growth and promoting growth heterosis. Our findings offer new insights and theoretical basis for deep understanding genetic and molecular regulation mechanisms of tree heterosis and its application in precision hybrid breeding.
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Affiliation(s)
- Jing Zhang
- State Key Laboratory of Tree Genetics and Breeding, Research Institute of ForestryChinese Academy of ForestryBeijingChina
- State Key Laboratory of Tree Breeding and Cultivation of State Forestry Administration, Research Institute of ForestryChinese Academy of ForestryBeijingChina
| | - Weixi Zhang
- State Key Laboratory of Tree Genetics and Breeding, Research Institute of ForestryChinese Academy of ForestryBeijingChina
- State Key Laboratory of Tree Breeding and Cultivation of State Forestry Administration, Research Institute of ForestryChinese Academy of ForestryBeijingChina
| | - Changjun Ding
- State Key Laboratory of Tree Genetics and Breeding, Research Institute of ForestryChinese Academy of ForestryBeijingChina
- State Key Laboratory of Tree Breeding and Cultivation of State Forestry Administration, Research Institute of ForestryChinese Academy of ForestryBeijingChina
| | | | - Xuehui Su
- Jiaozuo Academy of Agriculture and Forestry SciencesJiaozuoChina
| | - Zhengsai Yuan
- State Key Laboratory of Tree Genetics and Breeding, Research Institute of ForestryChinese Academy of ForestryBeijingChina
- State Key Laboratory of Tree Breeding and Cultivation of State Forestry Administration, Research Institute of ForestryChinese Academy of ForestryBeijingChina
| | - Yanguang Chu
- State Key Laboratory of Tree Genetics and Breeding, Research Institute of ForestryChinese Academy of ForestryBeijingChina
- State Key Laboratory of Tree Breeding and Cultivation of State Forestry Administration, Research Institute of ForestryChinese Academy of ForestryBeijingChina
| | - Qinjun Huang
- State Key Laboratory of Tree Genetics and Breeding, Research Institute of ForestryChinese Academy of ForestryBeijingChina
- State Key Laboratory of Tree Breeding and Cultivation of State Forestry Administration, Research Institute of ForestryChinese Academy of ForestryBeijingChina
| | - Xiaohua Su
- State Key Laboratory of Tree Genetics and Breeding, Research Institute of ForestryChinese Academy of ForestryBeijingChina
- State Key Laboratory of Tree Breeding and Cultivation of State Forestry Administration, Research Institute of ForestryChinese Academy of ForestryBeijingChina
- Co‐Innovation Center for Sustainable Forestry in Southern ChinaNanjing Forestry UniversityNanjingChina
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Wang W, Yang X, Zhang S, Chen K, Gao J, Zhou Y, Fan J, Tong S. Comprehensive transcriptome and metabolome analysis deciphers the mechanism underlying rapid xylem growth in the dominant hybrid poplar QB3. PLANTA 2025; 261:116. [PMID: 40266331 DOI: 10.1007/s00425-025-04692-3] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 08/17/2024] [Accepted: 04/07/2025] [Indexed: 04/24/2025]
Abstract
MAIN CONCLUSION Compared with its parents, the heterosis in growth of QB3 is primarily attributed to the upregulation of auxin and brassinosteroid-related genes, as well as the induced expression of numerous xylem and phloem synthesis genes, particularly the accumulation of lignin. Interestingly, QB3 significantly increased resistance to gray mold, which may be related to anthocyanin accumulation. Our findings illuminate the complex interplay of biological mechanisms that govern the regulation of wood growth and resistance. Poplar, as a fast-growing energy species widely distributed in the northern hemisphere, has important ecological and economic value. The hybridization of poplars is very common and often can bring to the progeny superior growth and resilience traits, but the molecular mechanism of heterosis remains to be studied. Through decades of crossbreeding work, a high-growth rate hybrid offspring named QinBai3 (QB3) was selected from P. alba × (P. alba × P. glandulosa), which provided an ideal model for investigating the molecular mechanism of heterosis. We found that the plant height, ground diameter, and xylem thickness of QB3 were much higher than those of I101 and 84 K. Through transcriptome and qRT-PCR analyses, we found that the expression levels of poplar regulatory genes associated with vegetative growth, brassinosteroid (BR), and auxin hormone signaling were significantly elevated in July compared to February. Meanwhile, compared to its parents, QB3 exhibited more specifically up-regulated genes in the processes of xylem and phloem synthesis, notably PalOPS and PalPRX52. However, in response to certain abiotic stresses, such as water deprivation and UV-B exposure, more down-regulated genes were identified. Metabolome analyses indicated that QB3 significantly increased the levels of lignin and anthocyanin, a result that aligns with the transcriptome data. Additionally, chemical assays confirmed the substantial accumulation of lignin and anthocyanin in QB3, suggesting that increased lignin accumulation may enhance the stem growth rate of QB3. Surprisingly, QB3 significantly increased resistance to Botrytis cinerea B05.10, which was accompanied by anthocyanin accumulation. In addition, our study offers detailed insights into the molecular mechanisms underlying rapid growth and stress resistance in hybrid poplar, thereby providing a new theoretical foundation and practical guidance for forest genetic breeding.
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Affiliation(s)
- Weiwei Wang
- Department of Center for Clinical Molecular Medicine, Children's Hospital of Chongqing Medical University, National Clinical Research Center for Child Health and Disorders, Ministry of Education Key Laboratory of Child Development and Disorders, No.136 of Zhongshan 2nd Road, Yuzhong District, Chongqing, 400014, China
- Chongqing Key Laboratory of Child Neurodevelopment and Cognitive Disorders, No.136 of Zhongshan 2nd Road, Yuzhong District, Chongqing, 400014, China
| | - Xing Yang
- College of Forestry, Northwest A&F University, No.3 of Taicheng Road, Yangling, 712100, China
| | - Senyan Zhang
- College of Forestry, Northwest A&F University, No.3 of Taicheng Road, Yangling, 712100, China
| | - Kaixi Chen
- College of Forestry, Northwest A&F University, No.3 of Taicheng Road, Yangling, 712100, China
| | - Jianshe Gao
- College of Forestry, Northwest A&F University, No.3 of Taicheng Road, Yangling, 712100, China
| | - Yongxue Zhou
- College of Forestry, Northwest A&F University, No.3 of Taicheng Road, Yangling, 712100, China
| | - Junfeng Fan
- College of Forestry, Northwest A&F University, No.3 of Taicheng Road, Yangling, 712100, China.
| | - Shaofei Tong
- College of Forestry, Northwest A&F University, No.3 of Taicheng Road, Yangling, 712100, China.
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Shi TL, Jia KH, Bao YT, Nie S, Tian XC, Yan XM, Chen ZY, Li ZC, Zhao SW, Ma HY, Zhao Y, Li X, Zhang RG, Guo J, Zhao W, El-Kassaby YA, Müller N, Van de Peer Y, Wang XR, Street NR, Porth I, An X, Mao JF. High-quality genome assembly enables prediction of allele-specific gene expression in hybrid poplar. PLANT PHYSIOLOGY 2024; 195:652-670. [PMID: 38412470 PMCID: PMC11060683 DOI: 10.1093/plphys/kiae078] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 07/20/2023] [Revised: 01/08/2024] [Accepted: 01/09/2024] [Indexed: 02/29/2024]
Abstract
Poplar (Populus) is a well-established model system for tree genomics and molecular breeding, and hybrid poplar is widely used in forest plantations. However, distinguishing its diploid homologous chromosomes is difficult, complicating advanced functional studies on specific alleles. In this study, we applied a trio-binning design and PacBio high-fidelity long-read sequencing to obtain haplotype-phased telomere-to-telomere genome assemblies for the 2 parents of the well-studied F1 hybrid "84K" (Populus alba × Populus tremula var. glandulosa). Almost all chromosomes, including the telomeres and centromeres, were completely assembled for each haplotype subgenome apart from 2 small gaps on one chromosome. By incorporating information from these haplotype assemblies and extensive RNA-seq data, we analyzed gene expression patterns between the 2 subgenomes and alleles. Transcription bias at the subgenome level was not uncovered, but extensive-expression differences were detected between alleles. We developed machine-learning (ML) models to predict allele-specific expression (ASE) with high accuracy and identified underlying genome features most highly influencing ASE. One of our models with 15 predictor variables achieved 77% accuracy on the training set and 74% accuracy on the testing set. ML models identified gene body CHG methylation, sequence divergence, and transposon occupancy both upstream and downstream of alleles as important factors for ASE. Our haplotype-phased genome assemblies and ML strategy highlight an avenue for functional studies in Populus and provide additional tools for studying ASE and heterosis in hybrids.
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Affiliation(s)
- Tian-Le Shi
- State Key Laboratory of Tree Genetics and Breeding, National Engineering Research Center of Tree Breeding and Ecological Restoration, Beijing Advanced Innovation Center for Tree Breeding by Molecular Design, National Engineering Laboratory for Tree Breeding, Key Laboratory of Genetics and Breeding in Forest Trees and Ornamental Plants, Ministry of Education, College of Biological Sciences and Technology, Beijing Forestry University, Beijing 100083, China
| | - Kai-Hua Jia
- State Key Laboratory of Tree Genetics and Breeding, National Engineering Research Center of Tree Breeding and Ecological Restoration, Beijing Advanced Innovation Center for Tree Breeding by Molecular Design, National Engineering Laboratory for Tree Breeding, Key Laboratory of Genetics and Breeding in Forest Trees and Ornamental Plants, Ministry of Education, College of Biological Sciences and Technology, Beijing Forestry University, Beijing 100083, China
- Key Laboratory of Crop Genetic Improvement & Ecology and Physiology, Institute of Crop Germplasm Resources, Shandong Academy of Agricultural Sciences, Ji’nan 250100, China
| | - Yu-Tao Bao
- State Key Laboratory of Tree Genetics and Breeding, National Engineering Research Center of Tree Breeding and Ecological Restoration, Beijing Advanced Innovation Center for Tree Breeding by Molecular Design, National Engineering Laboratory for Tree Breeding, Key Laboratory of Genetics and Breeding in Forest Trees and Ornamental Plants, Ministry of Education, College of Biological Sciences and Technology, Beijing Forestry University, Beijing 100083, China
| | - Shuai Nie
- Rice Research Institute, Guangdong Academy of Agricultural Sciences & Key Laboratory of Genetics and Breeding of High Quality Rice in Southern China (Co-construction by Ministry and Province), Ministry of Agriculture and Rural Affairs & Guangdong Key Laboratory of New Technology in Rice Breeding, Guangzhou 510640, China
| | - Xue-Chan Tian
- State Key Laboratory of Tree Genetics and Breeding, National Engineering Research Center of Tree Breeding and Ecological Restoration, Beijing Advanced Innovation Center for Tree Breeding by Molecular Design, National Engineering Laboratory for Tree Breeding, Key Laboratory of Genetics and Breeding in Forest Trees and Ornamental Plants, Ministry of Education, College of Biological Sciences and Technology, Beijing Forestry University, Beijing 100083, China
| | - Xue-Mei Yan
- State Key Laboratory of Tree Genetics and Breeding, National Engineering Research Center of Tree Breeding and Ecological Restoration, Beijing Advanced Innovation Center for Tree Breeding by Molecular Design, National Engineering Laboratory for Tree Breeding, Key Laboratory of Genetics and Breeding in Forest Trees and Ornamental Plants, Ministry of Education, College of Biological Sciences and Technology, Beijing Forestry University, Beijing 100083, China
| | - Zhao-Yang Chen
- State Key Laboratory of Tree Genetics and Breeding, National Engineering Research Center of Tree Breeding and Ecological Restoration, Beijing Advanced Innovation Center for Tree Breeding by Molecular Design, National Engineering Laboratory for Tree Breeding, Key Laboratory of Genetics and Breeding in Forest Trees and Ornamental Plants, Ministry of Education, College of Biological Sciences and Technology, Beijing Forestry University, Beijing 100083, China
| | - Zhi-Chao Li
- State Key Laboratory of Tree Genetics and Breeding, National Engineering Research Center of Tree Breeding and Ecological Restoration, Beijing Advanced Innovation Center for Tree Breeding by Molecular Design, National Engineering Laboratory for Tree Breeding, Key Laboratory of Genetics and Breeding in Forest Trees and Ornamental Plants, Ministry of Education, College of Biological Sciences and Technology, Beijing Forestry University, Beijing 100083, China
| | - Shi-Wei Zhao
- State Key Laboratory of Tree Genetics and Breeding, National Engineering Research Center of Tree Breeding and Ecological Restoration, Beijing Advanced Innovation Center for Tree Breeding by Molecular Design, National Engineering Laboratory for Tree Breeding, Key Laboratory of Genetics and Breeding in Forest Trees and Ornamental Plants, Ministry of Education, College of Biological Sciences and Technology, Beijing Forestry University, Beijing 100083, China
| | - Hai-Yao Ma
- State Key Laboratory of Tree Genetics and Breeding, National Engineering Research Center of Tree Breeding and Ecological Restoration, Beijing Advanced Innovation Center for Tree Breeding by Molecular Design, National Engineering Laboratory for Tree Breeding, Key Laboratory of Genetics and Breeding in Forest Trees and Ornamental Plants, Ministry of Education, College of Biological Sciences and Technology, Beijing Forestry University, Beijing 100083, China
| | - Ye Zhao
- State Key Laboratory of Tree Genetics and Breeding, National Engineering Research Center of Tree Breeding and Ecological Restoration, Beijing Advanced Innovation Center for Tree Breeding by Molecular Design, National Engineering Laboratory for Tree Breeding, Key Laboratory of Genetics and Breeding in Forest Trees and Ornamental Plants, Ministry of Education, College of Biological Sciences and Technology, Beijing Forestry University, Beijing 100083, China
| | - Xiang Li
- School of Agriculture, Ningxia University, Yinchuan 750021, China
| | - Ren-Gang Zhang
- Yunnan Key Laboratory for Integrative Conservation of Plant Species with Extremely Small Populations, Key Laboratory for Plant Diversity and Biogeography of East Asia, Kunming Institute of Botany, Chinese Academy of Sciences, Kunming 650201, Yunnan, China
| | - Jing Guo
- College of Forestry, Shandong Agricultural University, Tai’an 271000, China
| | - Wei Zhao
- Umeå Plant Science Centre, Department of Ecology and Environmental Science, Umeå University, SE-901 87 Umeå, Sweden
| | - Yousry Aly El-Kassaby
- Department of Forest and Conservation Sciences, Faculty of Forestry, University of British Columbia, Vancouver, Bc, V6T 1Z4, Canada
| | - Niels Müller
- Thünen-Institute of Forest Genetics, 22927 Grosshansdorf, Germany
| | - Yves Van de Peer
- Department of Plant Biotechnology and Bioinformatics, Ghent University, 9052 Ghent, Belgium
- VIB Center for Plant Systems Biology, 9052 Ghent, Belgium
- Centre for Microbial Ecology and Genomics, Department of Biochemistry, Genetics and Microbiology, University of Pretoria, Pretoria 0028, South Africa
- College of Horticulture, Academy for Advanced Interdisciplinary Studies, Nanjing Agricultural University, Nanjing 210095, China
| | - Xiao-Ru Wang
- Umeå Plant Science Centre, Department of Ecology and Environmental Science, Umeå University, SE-901 87 Umeå, Sweden
| | - Nathaniel Robert Street
- Umeå Plant Science Centre, Department of Plant Physiology, Umeå University, SE-901 87 Umeå, Sweden
| | - Ilga Porth
- Départment des Sciences du Bois et de la Forêt, Faculté de Foresterie, de Géographie et Géomatique, Université Laval, Québec, QC G1V 0A6, Canada
| | - Xinmin An
- State Key Laboratory of Tree Genetics and Breeding, National Engineering Research Center of Tree Breeding and Ecological Restoration, Beijing Advanced Innovation Center for Tree Breeding by Molecular Design, National Engineering Laboratory for Tree Breeding, Key Laboratory of Genetics and Breeding in Forest Trees and Ornamental Plants, Ministry of Education, College of Biological Sciences and Technology, Beijing Forestry University, Beijing 100083, China
| | - Jian-Feng Mao
- State Key Laboratory of Tree Genetics and Breeding, National Engineering Research Center of Tree Breeding and Ecological Restoration, Beijing Advanced Innovation Center for Tree Breeding by Molecular Design, National Engineering Laboratory for Tree Breeding, Key Laboratory of Genetics and Breeding in Forest Trees and Ornamental Plants, Ministry of Education, College of Biological Sciences and Technology, Beijing Forestry University, Beijing 100083, China
- Umeå Plant Science Centre, Department of Plant Physiology, Umeå University, SE-901 87 Umeå, Sweden
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Kondratovičs T, Zeps M, Rupeika D, Zeltiņš P, Gailis A, Matisons R. Morphological and Physiological Responses of Hybrid Aspen ( Populus tremuloides Michx. × Populus tremula L.) Clones to Light In Vitro. PLANTS (BASEL, SWITZERLAND) 2022; 11:2692. [PMID: 36297714 PMCID: PMC9607416 DOI: 10.3390/plants11202692] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 09/21/2022] [Revised: 10/04/2022] [Accepted: 10/10/2022] [Indexed: 06/16/2023]
Abstract
Micropropagation of fast-growing tree genotypes such as the hybrid aspen (Populus tremuloides Michx. × Populus tremula L.) is increasing. The efficiency of micropropagation depends on the luminaires, hence luminescent electric diodes (LED), which emit light of a narrow spectrum, are gaining popularity. Mostly, different LEDs are combined to increase the photosynthetic efficiency. However, light also acts as an environmental signal, which triggers specific responses in plants, which are genotype specific, and regarding hybrid aspen, are likely affected by heterosis. In this study, morphological and physiological responses of clones of hybrid aspen with contrasting field performance to the spectral composition of illumination were studied in vitro. Among the 15 variables measured, area of leaves and concentration and ratio of chlorophyll a and b explained most of the variance (58.6%), thereby linking a specific combination of traits to productivity. These traits and their responses to light were affected by heterosis, as indicated by the clone-treatment interaction, particularly for the clone's moderate productivity. The top-performing clones were little sensitive to illumination due to efficient photosystems. Nevertheless, illumination with wider spectral composition had generally positive effects on plantlet performance. Accordingly, clone-specific illumination protocols and luminaries capable of it are advantageous for the efficiency of micropropagation of hybrid aspen.
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Ren F, Yan DH, Wu G, Sun X, Song X, Li R. Distinctive Gene Expression Profiles and Effectors Consistent With Host Specificity in Two Formae Speciales of Marssonina brunnea. Front Microbiol 2020; 11:276. [PMID: 32210930 PMCID: PMC7076119 DOI: 10.3389/fmicb.2020.00276] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/24/2019] [Accepted: 02/06/2020] [Indexed: 11/13/2022] Open
Abstract
The knowledge on the host specificity of a pathogen underlying an interaction is becoming an urgent necessity for global warming. In this study, the gene expression profiles and the roles of effectors in host specificity were integrally characterized with two formae speciales, multigermtubi and monogermtubi, of a hemibiotrophic pathogen Marssonina brunnea when they were infecting respective susceptible poplar hosts. With a functional genome comparison referring to a de novo transcriptome of M. brunnea and Pathogen-Host Interaction database functional annotations, the multigermtubi strain showed abundant and significant differentially expressed unigenes (DEGs) (more than 40%) in colonizing the initial invasion stage and in the necrotrophic stage. The monogermtubi strain induced less than 10% of DEGs in the initial invasion stage but which abruptly increased to more than 80% DEGs in the necrotrophic stage. Both strains induced the least DEGs in the biotrophic stage compared to the initial invasion and necrotrophic stages. The orthologs of the effector genes Ecp6, PemG1, XEG1, ACE1, and Mg3LysM were exclusively induced by one of the two formae speciales depending on the infection stages. Some unigenes homologous to carbohydrate lytic enzyme genes, especially pectate lyases, were notably induced with multigermtubi forma specialis infection but not expressed in the monogermtubi forma specialis at an earlier infection stage. The extraordinary differences in the functional genome level between the two formae speciales of M. brunnea could be fundamental to exploring their host specificity determinant and evolution. This study also firstly provided the fungal transcriptome of the monogermtubi forma specialis for M. brunnea.
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Affiliation(s)
- Fei Ren
- Research Institute of Forest Ecology, Environment and Protection, Key Laboratory of Forest Protection Affiliated to State Forestry and Grassland Administration of China, Chinese Academy of Forestry, Beijing, China
- Institute of Cereal & Oil Science and Technology, Academy of National Food and Strategic Reserves Administration, Beijing, China
| | - Dong-Hui Yan
- Research Institute of Forest Ecology, Environment and Protection, Key Laboratory of Forest Protection Affiliated to State Forestry and Grassland Administration of China, Chinese Academy of Forestry, Beijing, China
| | - Guanghua Wu
- Research Institute of Forest Ecology, Environment and Protection, Key Laboratory of Forest Protection Affiliated to State Forestry and Grassland Administration of China, Chinese Academy of Forestry, Beijing, China
| | - Xiaoming Sun
- Research Institute of Forest Ecology, Environment and Protection, Key Laboratory of Forest Protection Affiliated to State Forestry and Grassland Administration of China, Chinese Academy of Forestry, Beijing, China
| | - Xiaoyu Song
- Research Institute of Forest Ecology, Environment and Protection, Key Laboratory of Forest Protection Affiliated to State Forestry and Grassland Administration of China, Chinese Academy of Forestry, Beijing, China
| | - Ruhua Li
- Research Institute of Forest Ecology, Environment and Protection, Key Laboratory of Forest Protection Affiliated to State Forestry and Grassland Administration of China, Chinese Academy of Forestry, Beijing, China
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