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Fang L, Liu T, Li M, Dong X, Han Y, Xu C, Li S, Zhang J, He X, Zhou Q, Luo D, Liu Z. MODMS: a multi-omics database for facilitating biological studies on alfalfa ( Medicago sativa L.). HORTICULTURE RESEARCH 2024; 11:uhad245. [PMID: 38239810 PMCID: PMC10794946 DOI: 10.1093/hr/uhad245] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 07/31/2023] [Accepted: 11/13/2023] [Indexed: 01/22/2024]
Abstract
Alfalfa (Medicago sativa L.) is a globally important forage crop. It also serves as a vegetable and medicinal herb because of its excellent nutritional quality and significant economic value. Multi-omics data on alfalfa continue to accumulate owing to recent advances in high-throughput techniques, and integrating this information holds great potential for expediting genetic research and facilitating advances in alfalfa agronomic traits. Therefore, we developed a comprehensive database named MODMS (multi-omics database of M. sativa) that incorporates multiple reference genomes, annotations, comparative genomics, transcriptomes, high-quality genomic variants, proteomics, and metabolomics. This report describes our continuously evolving database, which provides researchers with several convenient tools and extensive omics data resources, facilitating the expansion of alfalfa research. Further details regarding the MODMS database are available at https://modms.lzu.edu.cn/.
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Affiliation(s)
- Longfa Fang
- State Key Laboratory of Herbage Improvement and Grassland Agro-ecosystems, College of Pastoral Agriculture Science and Technology, Lanzhou University, Lanzhou 730020, China
| | - Tao Liu
- State Key Laboratory of Herbage Improvement and Grassland Agro-ecosystems, College of Pastoral Agriculture Science and Technology, Lanzhou University, Lanzhou 730020, China
| | - Mingyu Li
- State Key Laboratory of Herbage Improvement and Grassland Agro-ecosystems, College of Pastoral Agriculture Science and Technology, Lanzhou University, Lanzhou 730020, China
| | - XueMing Dong
- State Key Laboratory of Herbage Improvement and Grassland Agro-ecosystems, College of Pastoral Agriculture Science and Technology, Lanzhou University, Lanzhou 730020, China
| | - Yuling Han
- Tropical Crops Genetic Resources Institute, Chinese Academy of Tropical Agricultural Sciences, Haikou 571101, China
| | - Congzhuo Xu
- State Key Laboratory of Herbage Improvement and Grassland Agro-ecosystems, College of Pastoral Agriculture Science and Technology, Lanzhou University, Lanzhou 730020, China
| | - Siqi Li
- State Key Laboratory of Herbage Improvement and Grassland Agro-ecosystems, College of Pastoral Agriculture Science and Technology, Lanzhou University, Lanzhou 730020, China
| | - Jia Zhang
- State Key Laboratory of Herbage Improvement and Grassland Agro-ecosystems, College of Pastoral Agriculture Science and Technology, Lanzhou University, Lanzhou 730020, China
| | - Xiaojuan He
- State Key Laboratory of Herbage Improvement and Grassland Agro-ecosystems, College of Pastoral Agriculture Science and Technology, Lanzhou University, Lanzhou 730020, China
| | - Qiang Zhou
- State Key Laboratory of Herbage Improvement and Grassland Agro-ecosystems, College of Pastoral Agriculture Science and Technology, Lanzhou University, Lanzhou 730020, China
| | - Dong Luo
- State Key Laboratory of Herbage Improvement and Grassland Agro-ecosystems, College of Pastoral Agriculture Science and Technology, Lanzhou University, Lanzhou 730020, China
| | - Zhipeng Liu
- State Key Laboratory of Herbage Improvement and Grassland Agro-ecosystems, College of Pastoral Agriculture Science and Technology, Lanzhou University, Lanzhou 730020, China
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He F, Yang T, Zhang F, Jiang X, Li X, Long R, Wang X, Gao T, Wang C, Yang Q, Chen L, Kang J. Transcriptome and GWAS Analyses Reveal Candidate Gene for Root Traits of Alfalfa during Germination under Salt Stress. Int J Mol Sci 2023; 24:ijms24076271. [PMID: 37047244 PMCID: PMC10094355 DOI: 10.3390/ijms24076271] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/20/2023] [Revised: 03/18/2023] [Accepted: 03/21/2023] [Indexed: 03/29/2023] Open
Abstract
Alfalfa growth and production in China are negatively impacted by high salt concentrations in soils, especially in regions with limited water supplies. Few reliable genetic markers are currently available for salt tolerance selection. As a result, molecular breeding strategies targeting alfalfa are hindered. Therefore, with the continuous increase in soil salinity in agricultural lands, it is indispensable that a salt-tolerant variety of alfalfa is produced. We collected 220 alfalfa varieties around the world for resequencing and performed genome-wide association studies (GWASs). Alfalfa seeds were germinated in saline water with different concentrations of NaCl, and the phenotypic differences in several key root traits were recorded. In the phenotypic analysis, the breeding status and geographical origin strongly affected the salt tolerance of alfalfa. Forty-nine markers were significantly associated with salt tolerance, and 103 candidate genes were identified based on linkage disequilibrium. A total of 2712 differentially expressed genes were upregulated and 3570 were downregulated based on transcriptomic analyses. Some candidate genes that affected root development in the seed germination stage were identified through the combination of GWASs and transcriptome analyses. These genes could be used for molecular breeding strategies to increase alfalfa’s salt tolerance and for further research on salt tolerance in general.
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Jiang X, Yang X, Zhang F, Yang T, Yang C, He F, Gao T, Wang C, Yang Q, Wang Z, Kang J. Combining QTL mapping and RNA-Seq Unravels candidate genes for Alfalfa (Medicago sativa L.) leaf development. BMC PLANT BIOLOGY 2022; 22:485. [PMID: 36217123 PMCID: PMC9552516 DOI: 10.1186/s12870-022-03864-7] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 03/22/2022] [Accepted: 09/28/2022] [Indexed: 06/16/2023]
Abstract
BACKGROUND Leaf size affects crop canopy morphology and photosynthetic efficiency, which can influence forage yield and quality. It is of great significance to mine the key genes controlling leaf development for breeding new alfalfa varieties. In this study, we mapped leaf length (LL), leaf width (LW), and leaf area (LA) in an F1 mapping population derived from a cultivar named ZhongmuNo.1 with larger leaf area and a landrace named Cangzhou with smaller leaf area. RESULTS This study showed that the larger LW was more conducive to increasing LA. A total of 24 significant quantitative trait loci (QTL) associated with leaf size were identified on both the paternal and maternal linkage maps. Among them, nine QTL explained about 11.50-22.45% phenotypic variation. RNA-seq analysis identified 2,443 leaf-specific genes and 3,770 differentially expressed genes. Combining QTL mapping, RNA-seq alalysis, and qRT-PCR, we identified seven candidate genes associated with leaf development in five major QTL regions. CONCLUSION Our study will provide a theoretical basis for marker-assisted breeding and lay a foundation for further revealing molecular mechanism of leaf development in alfalfa.
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Affiliation(s)
- Xueqian Jiang
- Institute of Animal Science, Chinese Academy of Agricultural Sciences, Beijing, China
| | - Xijiang Yang
- Institute of Animal Science, Chinese Academy of Agricultural Sciences, Beijing, China
| | - Fan Zhang
- Institute of Animal Science, Chinese Academy of Agricultural Sciences, Beijing, China
| | - Tianhui Yang
- Institute of Animal Science, Ningxia Academy of Agricultural and Forestry Sciences, Ningxia, China
| | - Changfu Yang
- Institute of Animal Science, Chinese Academy of Agricultural Sciences, Beijing, China
| | - Fei He
- Institute of Animal Science, Chinese Academy of Agricultural Sciences, Beijing, China
| | - Ting Gao
- Institute of Animal Science, Ningxia Academy of Agricultural and Forestry Sciences, Ningxia, China
| | - Chuan Wang
- Institute of Animal Science, Ningxia Academy of Agricultural and Forestry Sciences, Ningxia, China
| | - Qingchuan Yang
- Institute of Animal Science, Chinese Academy of Agricultural Sciences, Beijing, China
| | - Zhen Wang
- Institute of Animal Science, Chinese Academy of Agricultural Sciences, Beijing, China
| | - Junmei Kang
- Institute of Animal Science, Chinese Academy of Agricultural Sciences, Beijing, China
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He F, Zhang F, Jiang X, Long R, Wang Z, Chen Y, Li M, Gao T, Yang T, Wang C, Kang J, Chen L, Yang Q. A Genome-Wide Association Study Coupled With a Transcriptomic Analysis Reveals the Genetic Loci and Candidate Genes Governing the Flowering Time in Alfalfa ( Medicago sativa L.). FRONTIERS IN PLANT SCIENCE 2022; 13:913947. [PMID: 35898229 PMCID: PMC9310038 DOI: 10.3389/fpls.2022.913947] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 04/06/2022] [Accepted: 06/16/2022] [Indexed: 06/15/2023]
Abstract
The transition to flowering at the right time is very important for adapting to local conditions and maximizing alfalfa yield. However, the understanding of the genetic basis of the alfalfa flowering time remains limited. There are few reliable genes or markers for selection, which hinders progress in genetic research and molecular breeding of this trait in alfalfa. We sequenced 220 alfalfa cultivars and conducted a genome-wide association study (GWAS) involving 875,023 single-nucleotide polymorphisms (SNPs). The phenotypic analysis showed that the breeding status and geographical origin strongly influenced the alfalfa flowering time. Our GWAS revealed 63 loci significantly related to the flowering time. Ninety-five candidate genes were detected at these SNP loci within 40 kb (20 kb up- and downstream). Thirty-six percent of the candidate genes are involved in development and pollen tube growth, indicating that these genes are key genetic mechanisms of alfalfa growth and development. The transcriptomic analysis showed that 1,924, 2,405, and 3,779 differentially expressed genes (DEGs) were upregulated across the three growth stages, while 1,651, 2,613, and 4,730 DEGs were downregulated across the stages. Combining the results of our GWAS and transcriptome analysis, in total, 38 candidate genes (7 differentially expressed during the bud stage, 13 differentially expressed during the initial flowering stage, and 18 differentially expressed during the full flowering stage) were identified. Two SNPs located in the upstream region of the Msa0888690 gene (which is involved in isop renoids) were significantly related to flowering. The two significant SNPs within the upstream region of Msa0888690 existed as four different haplotypes in this panel. The genes identified in this study represent a series of candidate targets for further research investigating the alfalfa flowering time and could be used for alfalfa molecular breeding.
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Affiliation(s)
- Fei He
- Institute of Animal Science, Chinese Academy of Agricultural Sciences, Beijing, China
| | - Fan Zhang
- Institute of Animal Science, Chinese Academy of Agricultural Sciences, Beijing, China
| | - Xueqian Jiang
- Institute of Animal Science, Chinese Academy of Agricultural Sciences, Beijing, China
| | - Ruicai Long
- Institute of Animal Science, Chinese Academy of Agricultural Sciences, Beijing, China
| | - Zhen Wang
- Institute of Animal Science, Chinese Academy of Agricultural Sciences, Beijing, China
| | - Yishi Chen
- Center for Monitoring of Agricultural Ecological Environment and Quality Inspection of Agricultural Products of Tianjin, Tianjin, China
| | - Mingna Li
- Institute of Animal Science, Chinese Academy of Agricultural Sciences, Beijing, China
| | - Ting Gao
- Institute of Animal Science, Ningxia Academy of Agricultural and Forestry Sciences, Yinchuan, China
| | - Tianhui Yang
- Institute of Animal Science, Ningxia Academy of Agricultural and Forestry Sciences, Yinchuan, China
| | - Chuan Wang
- Institute of Animal Science, Ningxia Academy of Agricultural and Forestry Sciences, Yinchuan, China
| | - Junmei Kang
- Institute of Animal Science, Chinese Academy of Agricultural Sciences, Beijing, China
| | - Lin Chen
- Institute of Animal Science, Chinese Academy of Agricultural Sciences, Beijing, China
| | - Qingchuan Yang
- Institute of Animal Science, Chinese Academy of Agricultural Sciences, Beijing, China
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Qiao Y, Cheng Q, Zhang Y, Yan W, Yi F, Shi F. Transcriptomic and chemical analyses to identify candidate genes involved in color variation of sainfoin flowers. BMC PLANT BIOLOGY 2021; 21:61. [PMID: 33482728 PMCID: PMC7825240 DOI: 10.1186/s12870-021-02827-8] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 07/02/2020] [Accepted: 01/05/2021] [Indexed: 05/13/2023]
Abstract
BACKGROUND Sainfoin (Onobrychis viciifolia Scop) is not only a high-quality legume forage, but also a nectar-producing plant. Therefore, the flower color of sainfoin is an important agronomic trait, but the factors affecting its flower phenotype are still unclear. To gain insights into the regulatory networks associated with metabolic pathways of coloration compounds (flavonoids or anthocyanins) and identify the key genes, we conducted a comprehensive analysis of the phenotype, metabolome and transcriptome of WF and AF of sainfoin. RESULTS Delphinidin, petunidin and malvidin derivatives were the main anthocyanin compounds in the AF of sainfoin. These substances were not detected in the WF of sainfoin. The transcriptomes of WF and AF in sainfoin at the S1 and S3 stages were obtained using the Illumina HiSeq4000 platform. Overall, 10,166 (4273 upregulated and 5893 downregulated) and 15,334 (8174 upregulated and 7160 downregulated) DEGs were identified in flowers at S1 and S3 stages, respectively (WF-VS-AF). KEGG pathway annotations showed that 6396 unigenes were annotated to 120 pathways and contained 866 DEGs at S1 stages, and 6396 unigenes were annotated to 131 pathways and included 1546 DEGs at the S3 stage. Nine DEGs belonging to the "flavonoid biosynthesis"and "phenylpropanoid biosynthesis" pathways involved in flower color formation were identified and verified by RT-qPCR analyses. Among these DEGs, 4CL3, FLS, ANS, CHS, DFR and CHI2 exhibited downregulated expression, and F3H exhibited upregulated expression in the WF compared to the AF, resulting in a decrease in anthocyanin synthesis and the formation of WF in sainfoin. CONCLUSIONS This study is the first to use transcriptome technology to study the mechanism of white flower formation in sainfoin. Our transcriptome data will be a great enrichment of the genetic information for sainfoin. In addition, the data presented herein will provide valuable molecular information for genetic breeding and provide insight into the future study of flower color polymorphisms in sainfoin.
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Affiliation(s)
- Yu Qiao
- College of Grassland Resources and Environment, Key Laboratory of Forage Cultivation, Processing and High Efficient Utilization of the Ministry of Agriculture and Key Laboratory of Grassland Resources of the Ministry of Education, Inner Mongolia Agricultural University, Hohhot, 010011, China
| | - Qiming Cheng
- College of Grassland Resources and Environment, Key Laboratory of Forage Cultivation, Processing and High Efficient Utilization of the Ministry of Agriculture and Key Laboratory of Grassland Resources of the Ministry of Education, Inner Mongolia Agricultural University, Hohhot, 010011, China
| | - Yutong Zhang
- College of Grassland Resources and Environment, Key Laboratory of Forage Cultivation, Processing and High Efficient Utilization of the Ministry of Agriculture and Key Laboratory of Grassland Resources of the Ministry of Education, Inner Mongolia Agricultural University, Hohhot, 010011, China
| | - Wei Yan
- College of Grassland Resources and Environment, Key Laboratory of Forage Cultivation, Processing and High Efficient Utilization of the Ministry of Agriculture and Key Laboratory of Grassland Resources of the Ministry of Education, Inner Mongolia Agricultural University, Hohhot, 010011, China
| | - Fengyan Yi
- Inner Mongolia Academy of Agricultural and Animal Husbandry Sciences, Hohhot, China
| | - Fengling Shi
- College of Grassland Resources and Environment, Key Laboratory of Forage Cultivation, Processing and High Efficient Utilization of the Ministry of Agriculture and Key Laboratory of Grassland Resources of the Ministry of Education, Inner Mongolia Agricultural University, Hohhot, 010011, China.
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Zhang J, Guo T, Tao Z, Wang P, Tian H. Transcriptome profiling of genes involved in nutrient uptake regulated by phosphate-solubilizing bacteria in pepper (Capsicum annuum L.). PLANT PHYSIOLOGY AND BIOCHEMISTRY : PPB 2020; 156:611-626. [PMID: 33069115 DOI: 10.1016/j.plaphy.2020.10.003] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 06/02/2020] [Accepted: 10/05/2020] [Indexed: 06/11/2023]
Abstract
Improving nutrient absorption in pepper has become a vital prerequisite for growth to produce a sustainable yield. In this study, transcriptome gene expression in pepper inoculated with two types of phosphate-solubilizing bacteria (PSB) and grown under low and high nutrient levels (LN and HN) was analyzed. Results showed that the root length increased when pepper was grown under LN; however, the root structure was intensively tight under HN. Our data revealed that the roots preferred horizontal growth than longitudinal growth under HN. PSB strains 'M01' and 'N3' significantly (P < 0.01) increased the P uptake by 70.44% and 98.20%, respectively, but decreased the Ca2+ content by 8.96% and 9.13%, respectively, compared with the control (L1). Although no remarkable difference was detected in the chlorophyll content, inoculation with the two PSB strains decreased the Fe3+ content in pepper under HN. The total clean sequenced data from samples ranged between 5,923,659,118 and 9,955,045,953 bp. Transcriptome profiling revealed 320 upregulated and 449 downregulated genes in L3 versus L1 and 468 upregulated and 532 downregulated genes in L4 versus L1. Gene ontology analysis revealed that the biological processes, including response to stress and secondary metabolic process, were involved. Several pathways were subordinate to glycosphingolipid biosynthesis and linoleic acid and nitrogen metabolisms. Analysis of the eukaryotic orthologous group function revealed that most differential genes were attributed to RNA processing and modification, transcription, and signal transduction. Our results provided new insights into the molecular mechanism related to nutrient uptake in pepper inoculated with PSBs.
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Affiliation(s)
- Jian Zhang
- Institute of Horticulture, Anhui Academy of Agricultural Sciences, Hefei, 230031, Anhui Province, China; Key Laboratory of Genetic Improvement and Ecophysiology of Horticultural Crops, Hefei, 230031, Anhui Province, China.
| | - Tingting Guo
- Institute of Horticulture, Anhui Academy of Agricultural Sciences, Hefei, 230031, Anhui Province, China; School of Life Sciences, Anhui Agricultural University, Hefei, 230036, Anhui Province, China
| | - Zhen Tao
- Institute of Horticulture, Anhui Academy of Agricultural Sciences, Hefei, 230031, Anhui Province, China
| | - Pengcheng Wang
- Institute of Horticulture, Anhui Academy of Agricultural Sciences, Hefei, 230031, Anhui Province, China; Key Laboratory of Genetic Improvement and Ecophysiology of Horticultural Crops, Hefei, 230031, Anhui Province, China
| | - Hongmei Tian
- Institute of Horticulture, Anhui Academy of Agricultural Sciences, Hefei, 230031, Anhui Province, China; Key Laboratory of Genetic Improvement and Ecophysiology of Horticultural Crops, Hefei, 230031, Anhui Province, China
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Su R, Zhou R, Mmadi MA, Li D, Qin L, Liu A, Wang J, Gao Y, Wei M, Shi L, Wu Z, You J, Zhang X, Dossa K. Root diversity in sesame (Sesamum indicum L.): insights into the morphological, anatomical and gene expression profiles. PLANTA 2019; 250:1461-1474. [PMID: 31321496 DOI: 10.1007/s00425-019-03242-y] [Citation(s) in RCA: 11] [Impact Index Per Article: 2.2] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 05/21/2019] [Accepted: 07/15/2019] [Indexed: 05/22/2023]
Abstract
Sesame harbors a large diversity in root morphological and anatomical traits and a high root biomass improves the plant aboveground biomass as well as the seed yield. Sesame provides one of the most nutritious and healthy vegetable oils, sparking an increasing demand of its seeds. However, with the low yield and productivity of sesame, there is still a huge gap between the seed demand and supply. Improving the root system has a high potential to increase crop productivity, but information on the diversity of the sesame root systems is still lacking. In this study, 40 diverse sesame varieties were grown in soil and hydroponics systems and the diversity of the root system was investigated. The results showed that sesame holds a large root morphological and anatomical diversity, which can be harnessed in breeding programmes. Based on the clustering of the genotypes in hydroponics and soil culture systems, we found that similar genotypes were commonly clustered either in the small-root or in the big-root group, indicating that the hydroponics system can be employed for a large-scale root phenotyping. Our results further revealed that the root biomass positively contributes to increased seed yield in sesame, based on multi-environmental trials. By comparing the root transcriptome of two contrasting genotypes, 2897 differentially expressed genes were detected and they were enriched in phenylpropanoid biosynthesis, starch and sucrose metabolism, stilbenoid, diarylheptanoid and gingerol biosynthesis, flavonoid biosynthesis, suggesting that these pathways are crucial for sesame root growth and development. Overall, this study sheds light on the diversity of sesame root system and offers the basis for improving root traits and increasing sesame seed yield.
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Affiliation(s)
- Ruqi Su
- Oil Crops Research Institute of the Chinese Academy of Agricultural Sciences, Key Laboratory of Biology and Genetic Improvement of Oil Crops, Ministry of Agriculture, No. 2 Xudong 2nd Road, Wuhan, 430062, China
- Key Laboratory of Crop Physiology, Ecology and Genetic Breeding, Ministry of Education/College of Agronomy, Jiangxi Agricultural University, Nanchang, 330045, China
| | - Rong Zhou
- Oil Crops Research Institute of the Chinese Academy of Agricultural Sciences, Key Laboratory of Biology and Genetic Improvement of Oil Crops, Ministry of Agriculture, No. 2 Xudong 2nd Road, Wuhan, 430062, China
| | - Marie Ali Mmadi
- Oil Crops Research Institute of the Chinese Academy of Agricultural Sciences, Key Laboratory of Biology and Genetic Improvement of Oil Crops, Ministry of Agriculture, No. 2 Xudong 2nd Road, Wuhan, 430062, China
| | - Donghua Li
- Oil Crops Research Institute of the Chinese Academy of Agricultural Sciences, Key Laboratory of Biology and Genetic Improvement of Oil Crops, Ministry of Agriculture, No. 2 Xudong 2nd Road, Wuhan, 430062, China
| | - Lu Qin
- Oil Crops Research Institute of the Chinese Academy of Agricultural Sciences, Key Laboratory of Biology and Genetic Improvement of Oil Crops, Ministry of Agriculture, No. 2 Xudong 2nd Road, Wuhan, 430062, China
| | - Aili Liu
- Oil Crops Research Institute of the Chinese Academy of Agricultural Sciences, Key Laboratory of Biology and Genetic Improvement of Oil Crops, Ministry of Agriculture, No. 2 Xudong 2nd Road, Wuhan, 430062, China
| | - Jianqiang Wang
- Oil Crops Research Institute of the Chinese Academy of Agricultural Sciences, Key Laboratory of Biology and Genetic Improvement of Oil Crops, Ministry of Agriculture, No. 2 Xudong 2nd Road, Wuhan, 430062, China
| | - Yuan Gao
- Oil Crops Research Institute of the Chinese Academy of Agricultural Sciences, Key Laboratory of Biology and Genetic Improvement of Oil Crops, Ministry of Agriculture, No. 2 Xudong 2nd Road, Wuhan, 430062, China
| | - Mengyuan Wei
- Oil Crops Research Institute of the Chinese Academy of Agricultural Sciences, Key Laboratory of Biology and Genetic Improvement of Oil Crops, Ministry of Agriculture, No. 2 Xudong 2nd Road, Wuhan, 430062, China
| | - Lisong Shi
- Oil Crops Research Institute of the Chinese Academy of Agricultural Sciences, Key Laboratory of Biology and Genetic Improvement of Oil Crops, Ministry of Agriculture, No. 2 Xudong 2nd Road, Wuhan, 430062, China
| | - Ziming Wu
- Key Laboratory of Crop Physiology, Ecology and Genetic Breeding, Ministry of Education/College of Agronomy, Jiangxi Agricultural University, Nanchang, 330045, China
| | - Jun You
- Oil Crops Research Institute of the Chinese Academy of Agricultural Sciences, Key Laboratory of Biology and Genetic Improvement of Oil Crops, Ministry of Agriculture, No. 2 Xudong 2nd Road, Wuhan, 430062, China
| | - Xiurong Zhang
- Oil Crops Research Institute of the Chinese Academy of Agricultural Sciences, Key Laboratory of Biology and Genetic Improvement of Oil Crops, Ministry of Agriculture, No. 2 Xudong 2nd Road, Wuhan, 430062, China.
| | - Komivi Dossa
- Oil Crops Research Institute of the Chinese Academy of Agricultural Sciences, Key Laboratory of Biology and Genetic Improvement of Oil Crops, Ministry of Agriculture, No. 2 Xudong 2nd Road, Wuhan, 430062, China.
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