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Zheng J, Su H, Pu S, Chen H, El-Kassaby YA, Yang Z, Feng J. High-yield hybrid breeding of Camellia oleifolia based on ISSR molecular markers. BMC PLANT BIOLOGY 2024; 24:517. [PMID: 38851667 PMCID: PMC11162053 DOI: 10.1186/s12870-024-05218-x] [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: 02/29/2024] [Accepted: 05/29/2024] [Indexed: 06/10/2024]
Abstract
BACKGROUND C. Oleifera is among the world's largest four woody plants known for their edible oil production, yet the contribution rate of improved varieties is less than 20%. The species traditional breeding is lengthy cycle (20-30 years), occupation of land resources, high labor cost, and low accuracy and efficiency, which can be enhanced by molecular marker-assisted selection. However, the lack of high-quality molecular markers hinders the species genetic analysis and molecular breeding. RESULTS Through quantitative traits characterization, genetic diversity assessment, and association studies, we generated a selection population with wide genetic diversity, and identified five excellent high-yield parental combinations associated with four reliable high-yield ISSR markers. Early selection criteria were determined based on kernel fresh weight and cultivated 1-year seedling height, aided by the identification of these 4 ISSR markers. Specific assignment of selected individuals as paternal and maternal parents was made to capitalize on their unique attributes. CONCLUSIONS Our results indicated that molecular markers-assisted breeding can effectively shorten, enhance selection accuracy and efficiency and facilitate the development of a new breeding system for C. oleifera.
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Affiliation(s)
- Jinjia Zheng
- College of Forestry, Fujian Agriculture and Forestry University, Fuzhou, 350002, China
| | - Haiqi Su
- College of Forestry, Fujian Agriculture and Forestry University, Fuzhou, 350002, China
| | - Shaosheng Pu
- College of Forestry, Fujian Agriculture and Forestry University, Fuzhou, 350002, China
| | - Hui Chen
- College of Forestry, Fujian Agriculture and Forestry University, Fuzhou, 350002, China
| | - Yousry A El-Kassaby
- Department of Forest and Conservation Sciences, Faculty of Forestry, University of British Columbia, 2424 Main Mall, Vancouver, BC, V6T 1Z4, Canada.
| | - Zhijian Yang
- College of Forestry, Fujian Agriculture and Forestry University, Fuzhou, 350002, China.
| | - Jinling Feng
- College of Forestry, Fujian Agriculture and Forestry University, Fuzhou, 350002, China.
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Yang Z, Tian S, Li X, Dai Z, Yan A, Chen Z, Chen J, Tang Q, Cheng C, Xu Y, Deng C, Liu C, Kang L, Xie D, Zhao J, Chen X, Zhang X, Wu Y, Li A, Su J. Multi-omics provides new insights into the domestication and improvement of dark jute (Corchorus olitorius). THE PLANT JOURNAL : FOR CELL AND MOLECULAR BIOLOGY 2022; 112:812-829. [PMID: 36129373 DOI: 10.1111/tpj.15983] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 04/07/2022] [Revised: 08/31/2022] [Accepted: 09/15/2022] [Indexed: 06/15/2023]
Abstract
Jute (Corchorus sp.) is the most important bast fiber crop worldwide; however, the mechanisms underlying domestication and improvement remain largely unknown. We performed multi-omics analysis by integrating de novo sequencing, resequencing, and transcriptomic and epigenetic sequencing to clarify the domestication and improvement of dark jute Corchorus olitorius. We demonstrated that dark jute underwent early domestication and a relatively moderate genetic bottleneck during improvement breeding. A genome-wide association study of 11 important agronomic traits identified abundant candidate loci. We characterized the selective sweeps in the two breeding stages of jute, prominently, soil salinity differences played an important role in environmental adaptation during domestication, and the strongly selected genes for improvement had an increased frequency of favorable haplotypes. Furthermore, we speculated that an encoding auxin/indole-3-acetic acid protein COS07g_00652 could enhance the flexibility and strength of the stem to improve fiber yield. Our study not only provides valuable genetic resources for future fiber breeding in jute, but also is of great significance for reviewing the genetic basis of early crop breeding.
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Affiliation(s)
- Zemao Yang
- Institute of Bast Fiber Crops, Chinese Academy of Agricultural Sciences, Changsha, 410205, China
| | - Shilin Tian
- Novogene Bioinformatics Institute, Beijing, 100015, China
- Department of Ecology, Hubei Key Laboratory of Cell Homeostasis, College of Life Sciences, Wuhan University, Wuhan, 430072, China
| | - Xiangkong Li
- Novogene Bioinformatics Institute, Beijing, 100015, China
| | - Zhigang Dai
- Institute of Bast Fiber Crops, Chinese Academy of Agricultural Sciences, Changsha, 410205, China
| | - An Yan
- Natural Sciences and Science Education, National Institute of Education, Nanyang Technological University, 637616, Singapore
- Department of Biological Sciences, National University of Singapore, 14 Science Drive 4, 117543, Singapore
| | - Zhong Chen
- Natural Sciences and Science Education, National Institute of Education, Nanyang Technological University, 637616, Singapore
| | - Jiquan Chen
- Institute of Bast Fiber Crops, Chinese Academy of Agricultural Sciences, Changsha, 410205, China
| | - Qing Tang
- Institute of Bast Fiber Crops, Chinese Academy of Agricultural Sciences, Changsha, 410205, China
| | - Chaohua Cheng
- Institute of Bast Fiber Crops, Chinese Academy of Agricultural Sciences, Changsha, 410205, China
| | - Ying Xu
- Institute of Bast Fiber Crops, Chinese Academy of Agricultural Sciences, Changsha, 410205, China
| | - Canhui Deng
- Institute of Bast Fiber Crops, Chinese Academy of Agricultural Sciences, Changsha, 410205, China
| | - Chan Liu
- Institute of Bast Fiber Crops, Chinese Academy of Agricultural Sciences, Changsha, 410205, China
| | - Ling Kang
- Novogene Bioinformatics Institute, Beijing, 100015, China
| | - Dongwei Xie
- Institute of Bast Fiber Crops, Chinese Academy of Agricultural Sciences, Changsha, 410205, China
| | - Jian Zhao
- Novogene Bioinformatics Institute, Beijing, 100015, China
| | - Xiaojun Chen
- Institute of Bast Fiber Crops, Chinese Academy of Agricultural Sciences, Changsha, 410205, China
| | - Xiaoyu Zhang
- Institute of Bast Fiber Crops, Chinese Academy of Agricultural Sciences, Changsha, 410205, China
| | - Yupeng Wu
- Institute of Bast Fiber Crops, Chinese Academy of Agricultural Sciences, Changsha, 410205, China
| | - Alei Li
- Institute of Bast Fiber Crops, Chinese Academy of Agricultural Sciences, Changsha, 410205, China
| | - Jianguang Su
- Institute of Bast Fiber Crops, Chinese Academy of Agricultural Sciences, Changsha, 410205, China
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Du C, Sun P, Cheng X, Zhang L, Wang L, Hu J. QTL mapping of drought-related traits in the hybrids of Populus deltoides 'Danhong'×Populus simonii 'Tongliao1'. BMC PLANT BIOLOGY 2022; 22:238. [PMID: 35545765 PMCID: PMC9092850 DOI: 10.1186/s12870-022-03613-w] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 05/28/2021] [Accepted: 04/21/2022] [Indexed: 06/15/2023]
Abstract
BACKGROUND Poplar trees provide a large amount of wood material, but many parts of the world are arid or semi-arid areas because of insufficient annual precipitation, which seriously affects the growth of poplar trees. Populus simonii 'Tongliao1' shows strong tolerance to stress environments, and Populus deltoides 'Danhong' shows a stronger growth rate in a suitable environment. To identify drought tolerance-related QTLs and genes, an F1 population derived from the cross between the 'Danhong' and 'Tongliao 1' Populus was assessed under drought stress. RESULTS We measured drought-related traits such as the relative height growth, relative diameter growth, leaf senescence number, specific leaf area, and leaf relative water content in the population under control and drought environments. The results showed that drought stress reduced the plant height relative growth, ground diameter relative growth, specific leaf area and leaf relative water content and increased the number of leaf drops. A total of 208 QTLs were identified by QTL mapping analysis, and they consisted of 92, 63 and 53 QTLs under control, drought stress treatment and drought index conditions, respectively. A molecular identification marker for drought tolerance, np2841, which was associated with a QTL (qDLRWC-LG10-1) for relative leaf water content, was initially developed. We mined 187 candidate genes for QTL regions of five traits under a drought environment. The reference genome annotation for Populus trichocarpa and a homologous gene analysis of Arabidopsis thaliana identified two candidate genes, Potri.003G171300 and Potri.012G123900, with significant functions in response to drought stress. We identified five key regulatory genes (Potri.006G273500, Potri.007G111500, Potri.007G111600, Potri.007G111700, and Potri.007G111800) related to drought tolerance through the poplar coexpression network. CONCLUSION In this study, our results indicate that the QTLs can effectively enhance the drought tolerance of poplar. It is a step closer towards unravelling the genetic basis of poplar drought tolerance-related traits, and to providing validated candidate genes and molecular markers for future genetic improvement.
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Affiliation(s)
- Changjian Du
- State Key Laboratory of Tree Genetics and Breeding, Key Laboratory of Tree Breeding and Cultivation of National Forestry and Grassland Administration, Research Institute of Forestry, Chinese Academy of Forestry, Beijing, 100091, China
- Co-Innovation Center for Sustainable Forestry in Southern China, Nanjing Forestry University, Nanjing, 210037, Jiangsu, China
| | - Pei Sun
- State Key Laboratory of Tree Genetics and Breeding, Key Laboratory of Tree Breeding and Cultivation of National Forestry and Grassland Administration, Research Institute of Forestry, Chinese Academy of Forestry, Beijing, 100091, China
- Institute of Forestry and Pomology, Beijing Academy of Agriculture and Forestry Sciences, Beijing, 100093, China
| | - Xingqi Cheng
- State Key Laboratory of Tree Genetics and Breeding, Key Laboratory of Tree Breeding and Cultivation of National Forestry and Grassland Administration, Research Institute of Forestry, Chinese Academy of Forestry, Beijing, 100091, China
- Co-Innovation Center for Sustainable Forestry in Southern China, Nanjing Forestry University, Nanjing, 210037, Jiangsu, China
| | - Lei Zhang
- State Key Laboratory of Tree Genetics and Breeding, Key Laboratory of Tree Breeding and Cultivation of National Forestry and Grassland Administration, Research Institute of Forestry, Chinese Academy of Forestry, Beijing, 100091, China
- Co-Innovation Center for Sustainable Forestry in Southern China, Nanjing Forestry University, Nanjing, 210037, Jiangsu, China
| | - Lijuan Wang
- State Key Laboratory of Tree Genetics and Breeding, Key Laboratory of Tree Breeding and Cultivation of National Forestry and Grassland Administration, Research Institute of Forestry, Chinese Academy of Forestry, Beijing, 100091, China
- Co-Innovation Center for Sustainable Forestry in Southern China, Nanjing Forestry University, Nanjing, 210037, Jiangsu, China
| | - Jianjun Hu
- State Key Laboratory of Tree Genetics and Breeding, Key Laboratory of Tree Breeding and Cultivation of National Forestry and Grassland Administration, Research Institute of Forestry, Chinese Academy of Forestry, Beijing, 100091, China.
- Co-Innovation Center for Sustainable Forestry in Southern China, Nanjing Forestry University, Nanjing, 210037, Jiangsu, China.
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Zhang L, Ma X, Zhang X, Xu Y, Ibrahim AK, Yao J, Huang H, Chen S, Liao Z, Zhang Q, Niyitanga S, Yu J, Liu Y, Xu X, Wang J, Tao A, Xu J, Chen S, Yang X, He Q, Lin L, Fang P, Zhang L, Ming R, Qi J, Zhang L. Reference genomes of the two cultivated jute species. PLANT BIOTECHNOLOGY JOURNAL 2021; 19:2235-2248. [PMID: 34170619 PMCID: PMC8541789 DOI: 10.1111/pbi.13652] [Citation(s) in RCA: 7] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 03/08/2021] [Revised: 06/08/2021] [Accepted: 06/17/2021] [Indexed: 05/10/2023]
Abstract
Cultivated jute, which comprises the two species Corchorus capsularis and C. olitorius, is the second most important natural fibre source after cotton. Here we describe chromosome-level assemblies of the genomes of both cultivated species. The C. capsularis and C. olitorius assemblies are each comprised of seven pseudo-chromosomes, with the C. capsularis assembly consisting of 336 Mb with 25,874 genes and the C. olitorius assembly containing 361 Mb with 28 479 genes. Although the two Corchorus genomes exhibit collinearity, the genome of C. olitorius contains 25 Mb of additional sequences than that of C. capsularis with 13 putative inversions, which might give a hint to the difference of phenotypic variants between the two cultivated jute species. Analysis of gene expression in isolated fibre tissues reveals candidate genes involved in fibre development. Our analysis of the population structures of 242 cultivars from C. capsularis and 57 cultivars from C. olitorius by whole-genome resequencing resulted in post-domestication bottlenecks occurred ~2000 years ago in these species. We identified hundreds of putative significant marker-trait associations (MTAs) controlling fibre fineness, cellulose content and lignin content of fibre by integrating data from genome-wide association studies (GWAS) with data from analyses of selective sweeps due to natural and artificial selection in these two jute species. Among them, we further validated that CcCOBRA1 and CcC4H1 regulate fibre quality in transgenic plants via improving the biosynthesis of the secondary cell wall. Our results yielded important new resources for functional genomics research and genetic improvement in jute and allied fibre crops.
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Affiliation(s)
- Lilan Zhang
- Key Laboratory of Ministry of Education for Genetics, Breeding and Multiple Utilization of CropsFujian Provincial Key Laboratory of Crop Breeding by DesignFujian Agriculture and Forestry UniversityFuzhouChina
- Experiment Station of Ministry of Agriculture and Rural Affairs for Jute and Kenaf in Southeast ChinaFujian Public Platform for Germplasm Resources of Bast Fibre CropsFujian International Science and Technology Cooperation Base for Genetics, Breeding and Multiple Utilization Development of Southern Economic CropsFujian Agriculture and Forestry UniversityFuzhouChina
- Center for Genomics and BiotechnologyHaixia Institue of Science and TechnologyFujian Agriculture and Forestry UniversityFuzhouChina
| | - Xiaokai Ma
- Center for Genomics and BiotechnologyHaixia Institue of Science and TechnologyFujian Agriculture and Forestry UniversityFuzhouChina
| | - Xingtan Zhang
- Center for Genomics and BiotechnologyHaixia Institue of Science and TechnologyFujian Agriculture and Forestry UniversityFuzhouChina
| | - Yi Xu
- Key Laboratory of Ministry of Education for Genetics, Breeding and Multiple Utilization of CropsFujian Provincial Key Laboratory of Crop Breeding by DesignFujian Agriculture and Forestry UniversityFuzhouChina
- Experiment Station of Ministry of Agriculture and Rural Affairs for Jute and Kenaf in Southeast ChinaFujian Public Platform for Germplasm Resources of Bast Fibre CropsFujian International Science and Technology Cooperation Base for Genetics, Breeding and Multiple Utilization Development of Southern Economic CropsFujian Agriculture and Forestry UniversityFuzhouChina
- Center for Genomics and BiotechnologyHaixia Institue of Science and TechnologyFujian Agriculture and Forestry UniversityFuzhouChina
| | - Aminu Kurawa Ibrahim
- Key Laboratory of Ministry of Education for Genetics, Breeding and Multiple Utilization of CropsFujian Provincial Key Laboratory of Crop Breeding by DesignFujian Agriculture and Forestry UniversityFuzhouChina
- Experiment Station of Ministry of Agriculture and Rural Affairs for Jute and Kenaf in Southeast ChinaFujian Public Platform for Germplasm Resources of Bast Fibre CropsFujian International Science and Technology Cooperation Base for Genetics, Breeding and Multiple Utilization Development of Southern Economic CropsFujian Agriculture and Forestry UniversityFuzhouChina
- Center for Genomics and BiotechnologyHaixia Institue of Science and TechnologyFujian Agriculture and Forestry UniversityFuzhouChina
| | - Jiayu Yao
- Key Laboratory of Ministry of Education for Genetics, Breeding and Multiple Utilization of CropsFujian Provincial Key Laboratory of Crop Breeding by DesignFujian Agriculture and Forestry UniversityFuzhouChina
- Experiment Station of Ministry of Agriculture and Rural Affairs for Jute and Kenaf in Southeast ChinaFujian Public Platform for Germplasm Resources of Bast Fibre CropsFujian International Science and Technology Cooperation Base for Genetics, Breeding and Multiple Utilization Development of Southern Economic CropsFujian Agriculture and Forestry UniversityFuzhouChina
- Center for Genomics and BiotechnologyHaixia Institue of Science and TechnologyFujian Agriculture and Forestry UniversityFuzhouChina
| | - Huaxing Huang
- Center for Genomics and BiotechnologyHaixia Institue of Science and TechnologyFujian Agriculture and Forestry UniversityFuzhouChina
| | - Shuai Chen
- Center for Genomics and BiotechnologyHaixia Institue of Science and TechnologyFujian Agriculture and Forestry UniversityFuzhouChina
| | - Zhenyang Liao
- Center for Genomics and BiotechnologyHaixia Institue of Science and TechnologyFujian Agriculture and Forestry UniversityFuzhouChina
| | - Qing Zhang
- Center for Genomics and BiotechnologyHaixia Institue of Science and TechnologyFujian Agriculture and Forestry UniversityFuzhouChina
| | - Sylvain Niyitanga
- Key Laboratory of Ministry of Education for Genetics, Breeding and Multiple Utilization of CropsFujian Provincial Key Laboratory of Crop Breeding by DesignFujian Agriculture and Forestry UniversityFuzhouChina
- Experiment Station of Ministry of Agriculture and Rural Affairs for Jute and Kenaf in Southeast ChinaFujian Public Platform for Germplasm Resources of Bast Fibre CropsFujian International Science and Technology Cooperation Base for Genetics, Breeding and Multiple Utilization Development of Southern Economic CropsFujian Agriculture and Forestry UniversityFuzhouChina
| | - Jiaxin Yu
- Center for Genomics and BiotechnologyHaixia Institue of Science and TechnologyFujian Agriculture and Forestry UniversityFuzhouChina
| | - Yi Liu
- Center for Genomics and BiotechnologyHaixia Institue of Science and TechnologyFujian Agriculture and Forestry UniversityFuzhouChina
| | - Xiuming Xu
- Center for Genomics and BiotechnologyHaixia Institue of Science and TechnologyFujian Agriculture and Forestry UniversityFuzhouChina
| | - Jingjing Wang
- Center for Genomics and BiotechnologyHaixia Institue of Science and TechnologyFujian Agriculture and Forestry UniversityFuzhouChina
| | - Aifen Tao
- Key Laboratory of Ministry of Education for Genetics, Breeding and Multiple Utilization of CropsFujian Provincial Key Laboratory of Crop Breeding by DesignFujian Agriculture and Forestry UniversityFuzhouChina
- Experiment Station of Ministry of Agriculture and Rural Affairs for Jute and Kenaf in Southeast ChinaFujian Public Platform for Germplasm Resources of Bast Fibre CropsFujian International Science and Technology Cooperation Base for Genetics, Breeding and Multiple Utilization Development of Southern Economic CropsFujian Agriculture and Forestry UniversityFuzhouChina
| | - Jiantang Xu
- Key Laboratory of Ministry of Education for Genetics, Breeding and Multiple Utilization of CropsFujian Provincial Key Laboratory of Crop Breeding by DesignFujian Agriculture and Forestry UniversityFuzhouChina
- Experiment Station of Ministry of Agriculture and Rural Affairs for Jute and Kenaf in Southeast ChinaFujian Public Platform for Germplasm Resources of Bast Fibre CropsFujian International Science and Technology Cooperation Base for Genetics, Breeding and Multiple Utilization Development of Southern Economic CropsFujian Agriculture and Forestry UniversityFuzhouChina
| | - Siyuan Chen
- Key Laboratory of Ministry of Education for Genetics, Breeding and Multiple Utilization of CropsFujian Provincial Key Laboratory of Crop Breeding by DesignFujian Agriculture and Forestry UniversityFuzhouChina
- Experiment Station of Ministry of Agriculture and Rural Affairs for Jute and Kenaf in Southeast ChinaFujian Public Platform for Germplasm Resources of Bast Fibre CropsFujian International Science and Technology Cooperation Base for Genetics, Breeding and Multiple Utilization Development of Southern Economic CropsFujian Agriculture and Forestry UniversityFuzhouChina
| | - Xin Yang
- Key Laboratory of Ministry of Education for Genetics, Breeding and Multiple Utilization of CropsFujian Provincial Key Laboratory of Crop Breeding by DesignFujian Agriculture and Forestry UniversityFuzhouChina
- Experiment Station of Ministry of Agriculture and Rural Affairs for Jute and Kenaf in Southeast ChinaFujian Public Platform for Germplasm Resources of Bast Fibre CropsFujian International Science and Technology Cooperation Base for Genetics, Breeding and Multiple Utilization Development of Southern Economic CropsFujian Agriculture and Forestry UniversityFuzhouChina
| | - Qingyao He
- Key Laboratory of Ministry of Education for Genetics, Breeding and Multiple Utilization of CropsFujian Provincial Key Laboratory of Crop Breeding by DesignFujian Agriculture and Forestry UniversityFuzhouChina
- Experiment Station of Ministry of Agriculture and Rural Affairs for Jute and Kenaf in Southeast ChinaFujian Public Platform for Germplasm Resources of Bast Fibre CropsFujian International Science and Technology Cooperation Base for Genetics, Breeding and Multiple Utilization Development of Southern Economic CropsFujian Agriculture and Forestry UniversityFuzhouChina
| | - Lihui Lin
- Key Laboratory of Ministry of Education for Genetics, Breeding and Multiple Utilization of CropsFujian Provincial Key Laboratory of Crop Breeding by DesignFujian Agriculture and Forestry UniversityFuzhouChina
- Experiment Station of Ministry of Agriculture and Rural Affairs for Jute and Kenaf in Southeast ChinaFujian Public Platform for Germplasm Resources of Bast Fibre CropsFujian International Science and Technology Cooperation Base for Genetics, Breeding and Multiple Utilization Development of Southern Economic CropsFujian Agriculture and Forestry UniversityFuzhouChina
| | - Pingping Fang
- Key Laboratory of Ministry of Education for Genetics, Breeding and Multiple Utilization of CropsFujian Provincial Key Laboratory of Crop Breeding by DesignFujian Agriculture and Forestry UniversityFuzhouChina
- Experiment Station of Ministry of Agriculture and Rural Affairs for Jute and Kenaf in Southeast ChinaFujian Public Platform for Germplasm Resources of Bast Fibre CropsFujian International Science and Technology Cooperation Base for Genetics, Breeding and Multiple Utilization Development of Southern Economic CropsFujian Agriculture and Forestry UniversityFuzhouChina
| | - Liemei Zhang
- Key Laboratory of Ministry of Education for Genetics, Breeding and Multiple Utilization of CropsFujian Provincial Key Laboratory of Crop Breeding by DesignFujian Agriculture and Forestry UniversityFuzhouChina
| | - Ray Ming
- Department of Plant Biologythe University of Illinois at Urbana‐ChampaignUrbanaILUSA
| | - Jianmin Qi
- Key Laboratory of Ministry of Education for Genetics, Breeding and Multiple Utilization of CropsFujian Provincial Key Laboratory of Crop Breeding by DesignFujian Agriculture and Forestry UniversityFuzhouChina
- Experiment Station of Ministry of Agriculture and Rural Affairs for Jute and Kenaf in Southeast ChinaFujian Public Platform for Germplasm Resources of Bast Fibre CropsFujian International Science and Technology Cooperation Base for Genetics, Breeding and Multiple Utilization Development of Southern Economic CropsFujian Agriculture and Forestry UniversityFuzhouChina
| | - Liwu Zhang
- Key Laboratory of Ministry of Education for Genetics, Breeding and Multiple Utilization of CropsFujian Provincial Key Laboratory of Crop Breeding by DesignFujian Agriculture and Forestry UniversityFuzhouChina
- Experiment Station of Ministry of Agriculture and Rural Affairs for Jute and Kenaf in Southeast ChinaFujian Public Platform for Germplasm Resources of Bast Fibre CropsFujian International Science and Technology Cooperation Base for Genetics, Breeding and Multiple Utilization Development of Southern Economic CropsFujian Agriculture and Forestry UniversityFuzhouChina
- Center for Genomics and BiotechnologyHaixia Institue of Science and TechnologyFujian Agriculture and Forestry UniversityFuzhouChina
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5
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Zeng D, Yang C, Li Q, Zhu W, Chen X, Peng M, Chen X, Lin Y, Wang H, Liu H, Liang J, Liu Q, Zhao Y. Identification of a quantitative trait loci (QTL) associated with ammonia tolerance in the Pacific white shrimp (Litopenaeus vannamei). BMC Genomics 2020; 21:857. [PMID: 33267780 PMCID: PMC7709431 DOI: 10.1186/s12864-020-07254-x] [Citation(s) in RCA: 9] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/03/2019] [Accepted: 11/18/2020] [Indexed: 12/18/2022] Open
Abstract
Background Ammonia is one of the most common toxicological environment factors affecting shrimp health. Although ammonia tolerance in shrimp is closely related to successful industrial production, few genetic studies of this trait are available. Results In this study, we constructed a high-density genetic map of the Pacific white shrimp (Litopenaeus vannamei) using specific length amplified fragment sequencing (SLAF-seq). The constructed genetic map contained 17,338 polymorphic markers spanning 44 linkage groups, with a total distance of 6360.12 centimorgans (cM) and an average distance of 0.37 cM. Using this genetic map, we identified a quantitative trait locus (QTL) that explained 7.41–8.46% of the phenotypic variance in L. vannamei survival time under acute ammonia stress. We then sequenced the transcriptomes of the most ammonia-tolerant and the most ammonia-sensitive individuals from each of four genetically distinct L. vannamei families. We found that 7546 genes were differentially expressed between the ammonia-tolerant and ammonia-sensitive individuals. Using QTL analysis and the transcriptomes, we identified one candidate gene (annotated as an ATP synthase g subunit) associated with ammonia tolerance. Conclusions In this study, we constructed a high-density genetic map of L. vannamei and identified a QTL for ammonia tolerance. By combining QTL and transcriptome analyses, we identified a candidate gene associated with ammonia tolerance. Our work provides the basis for future genetic studies focused on molecular marker-assisted selective breeding. Supplementary Information The online version contains supplementary material available at 10.1186/s12864-020-07254-x.
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Affiliation(s)
- Digang Zeng
- Guangxi Key Laboratory of Aquatic Genetic Breeding and Healthy Aquaculture, Guangxi Academy of Fishery Sciences, Nanning, 530021, China
| | - Chunling Yang
- Guangxi Key Laboratory of Aquatic Genetic Breeding and Healthy Aquaculture, Guangxi Academy of Fishery Sciences, Nanning, 530021, China
| | - Qiangyong Li
- Guangxi Key Laboratory of Aquatic Genetic Breeding and Healthy Aquaculture, Guangxi Academy of Fishery Sciences, Nanning, 530021, China
| | - Weilin Zhu
- Guangxi Key Laboratory of Aquatic Genetic Breeding and Healthy Aquaculture, Guangxi Academy of Fishery Sciences, Nanning, 530021, China
| | - Xiuli Chen
- Guangxi Key Laboratory of Aquatic Genetic Breeding and Healthy Aquaculture, Guangxi Academy of Fishery Sciences, Nanning, 530021, China
| | - Min Peng
- Guangxi Key Laboratory of Aquatic Genetic Breeding and Healthy Aquaculture, Guangxi Academy of Fishery Sciences, Nanning, 530021, China
| | - Xiaohan Chen
- Guangxi Key Laboratory of Aquatic Genetic Breeding and Healthy Aquaculture, Guangxi Academy of Fishery Sciences, Nanning, 530021, China
| | - Yong Lin
- Guangxi Key Laboratory of Aquatic Genetic Breeding and Healthy Aquaculture, Guangxi Academy of Fishery Sciences, Nanning, 530021, China
| | - Huanling Wang
- Key Lab of Freshwater Animal Breeding, Key Laboratory of Agricultural Animal Genetics, Breeding and Reproduction, Ministry of Education, College of Fishery, Huazhong Agriculture University, Wuhan, 430070, China
| | - Hong Liu
- Key Lab of Freshwater Animal Breeding, Key Laboratory of Agricultural Animal Genetics, Breeding and Reproduction, Ministry of Education, College of Fishery, Huazhong Agriculture University, Wuhan, 430070, China
| | - Jingzhen Liang
- Life Science Research Institute, Guangxi University, Nanning, 530004, China
| | - Qingyun Liu
- Guangxi Key Laboratory of Aquatic Genetic Breeding and Healthy Aquaculture, Guangxi Academy of Fishery Sciences, Nanning, 530021, China.
| | - Yongzhen Zhao
- Guangxi Key Laboratory of Aquatic Genetic Breeding and Healthy Aquaculture, Guangxi Academy of Fishery Sciences, Nanning, 530021, China.
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6
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Gene coexpression network analysis and tissue-specific profiling of gene expression in jute (Corchorus capsularis L.). BMC Genomics 2020; 21:406. [PMID: 32546133 PMCID: PMC7298812 DOI: 10.1186/s12864-020-06805-6] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/08/2020] [Accepted: 06/05/2020] [Indexed: 11/10/2022] Open
Abstract
BACKGROUND Jute (Corchorus spp.), belonging to the Malvaceae family, is an important natural fiber crop, second only to cotton, and a multipurpose economic crop. Corchorus capsularis L. is one of the only two commercially cultivated species of jute. Gene expression is spatiotemporal and is influenced by many factors. Therefore, to understand the molecular mechanisms of tissue development, it is necessary to study tissue-specific gene expression and regulation. We used weighted gene coexpression network analysis, to predict the functional roles of gene coexpression modules and individual genes, including those underlying the development of different tissue types. Although several transcriptome studies have been conducted on C. capsularis, there have not yet been any systematic and comprehensive transcriptome analyses for this species. RESULTS There was significant variation in gene expression between plant tissues. Comparative transcriptome analysis and weighted gene coexpression network analysis were performed for different C. capsularis tissues at different developmental stages. We identified numerous tissue-specific differentially expressed genes for each tissue, and 12 coexpression modules, comprising 126 to 4203 genes, associated with the development of various tissues. There was high consistency between the genes in modules related to tissues, and the candidate upregulated genes for each tissue. Further, a gene network including 21 genes directly regulated by transcription factor OMO55970.1 was discovered. Some of the genes, such as OMO55970.1, OMO51203.1, OMO50871.1, and OMO87663.1, directly involved in the development of stem bast tissue. CONCLUSION We identified genes that were differentially expressed between tissues of the same developmental stage. Some genes were consistently up- or downregulated, depending on the developmental stage of each tissue. Further, we identified numerous coexpression modules and genes associated with the development of various tissues. These findings elucidate the molecular mechanisms underlying the development of each tissue, and will promote multipurpose molecular breeding in jute and other fiber crops.
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7
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Wang F, Zhang J, Chen Y, Zhang C, Gong J, Song Z, Zhou J, Wang J, Zhao C, Jiao M, Liu A, Du Z, Yuan Y, Fan S, Zhang J. Identification of candidate genes for key fibre-related QTLs and derivation of favourable alleles in Gossypium hirsutum recombinant inbred lines with G. barbadense introgressions. PLANT BIOTECHNOLOGY JOURNAL 2020; 18:707-720. [PMID: 31446669 PMCID: PMC7004909 DOI: 10.1111/pbi.13237] [Citation(s) in RCA: 44] [Impact Index Per Article: 11.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 03/01/2019] [Accepted: 08/15/2019] [Indexed: 05/02/2023]
Abstract
Fine mapping QTLs and identifying candidate genes for cotton fibre-quality and yield traits would be beneficial to cotton breeding. Here, we constructed a high-density genetic map by specific-locus amplified fragment sequencing (SLAF-seq) to identify QTLs associated with fibre-quality and yield traits using 239 recombinant inbred lines (RILs), which was developed from LMY22 (a high-yield Gossypium hirsutumL. cultivar) × LY343 (a superior fibre-quality germplasm with G. barbadenseL. introgressions). The genetic map spanned 3426.57 cM, including 3556 SLAF-based SNPs and 199 SSR marker loci. A total of 104 QTLs, including 67 QTLs for fibre quality and 37 QTLs for yield traits, were identified with phenotypic data collected from 7 environments. Among these, 66 QTLs were co-located in 19 QTL clusters on 12 chromosomes, and 24 QTLs were detected in three or more environments and determined to be stable. We also investigated the genomic components of LY343 and their contributions to fibre-related traits by deep sequencing the whole genome of LY343, and we found that genomic components from G. hirsutum races (which entered LY343 via its G. barbadense parent) contributed more favourable alleles than those from G. barbadense. We further identified six putative candidate genes for stable QTLs, including Gh_A03G1147 (GhPEL6), Gh_D07G1598 (GhCSLC6) and Gh_D13G1921 (GhTBL5) for fibre-length QTLs and Gh_D03G0919 (GhCOBL4), Gh_D09G1659 (GhMYB4) and Gh_D09G1690 (GhMYB85) for lint-percentage QTLs. Our results provide comprehensive insight into the genetic basis of the formation of fibre-related traits and would be helpful for cloning fibre-development-related genes as well as for marker-assisted genetic improvement in cotton.
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Affiliation(s)
- Furong Wang
- Key Laboratory of Cotton Breeding and Cultivation in Huang‐Huai‐Hai PlainMinistry of AgricultureCotton Research Center of Shandong Academy of Agricultural SciencesJinanChina
- College of Life SciencesShandong Normal UniversityJinanChina
| | - Jingxia Zhang
- Key Laboratory of Cotton Breeding and Cultivation in Huang‐Huai‐Hai PlainMinistry of AgricultureCotton Research Center of Shandong Academy of Agricultural SciencesJinanChina
| | - Yu Chen
- Key Laboratory of Cotton Breeding and Cultivation in Huang‐Huai‐Hai PlainMinistry of AgricultureCotton Research Center of Shandong Academy of Agricultural SciencesJinanChina
| | - Chuanyun Zhang
- Key Laboratory of Cotton Breeding and Cultivation in Huang‐Huai‐Hai PlainMinistry of AgricultureCotton Research Center of Shandong Academy of Agricultural SciencesJinanChina
| | - Juwu Gong
- State Key Laboratory of Cotton BiologyKey Laboratory of Biological and Genetic Breeding of CottonMinistry of AgricultureInstitute of Cotton ResearchChinese Academy of Agricultural SciencesAnyangChina
| | - Zhangqiang Song
- Key Laboratory of Cotton Breeding and Cultivation in Huang‐Huai‐Hai PlainMinistry of AgricultureCotton Research Center of Shandong Academy of Agricultural SciencesJinanChina
| | - Juan Zhou
- Key Laboratory of Cotton Breeding and Cultivation in Huang‐Huai‐Hai PlainMinistry of AgricultureCotton Research Center of Shandong Academy of Agricultural SciencesJinanChina
| | - Jingjing Wang
- Key Laboratory of Cotton Breeding and Cultivation in Huang‐Huai‐Hai PlainMinistry of AgricultureCotton Research Center of Shandong Academy of Agricultural SciencesJinanChina
| | - Chengjie Zhao
- College of Life SciencesShandong Normal UniversityJinanChina
| | - Mengjia Jiao
- College of Life SciencesShandong Normal UniversityJinanChina
| | - Aiying Liu
- State Key Laboratory of Cotton BiologyKey Laboratory of Biological and Genetic Breeding of CottonMinistry of AgricultureInstitute of Cotton ResearchChinese Academy of Agricultural SciencesAnyangChina
| | - Zhaohai Du
- Key Laboratory of Cotton Breeding and Cultivation in Huang‐Huai‐Hai PlainMinistry of AgricultureCotton Research Center of Shandong Academy of Agricultural SciencesJinanChina
| | - Youlu Yuan
- State Key Laboratory of Cotton BiologyKey Laboratory of Biological and Genetic Breeding of CottonMinistry of AgricultureInstitute of Cotton ResearchChinese Academy of Agricultural SciencesAnyangChina
| | - Shoujin Fan
- College of Life SciencesShandong Normal UniversityJinanChina
| | - Jun Zhang
- Key Laboratory of Cotton Breeding and Cultivation in Huang‐Huai‐Hai PlainMinistry of AgricultureCotton Research Center of Shandong Academy of Agricultural SciencesJinanChina
- College of Life SciencesShandong Normal UniversityJinanChina
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8
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Lu N, Zhang M, Xiao Y, Han D, Liu Y, Zhang Y, Yi F, Zhu T, Ma W, Fan E, Qu G, Wang J. Construction of a high-density genetic map and QTL mapping of leaf traits and plant growth in an interspecific F 1 population of Catalpa bungei × Catalpa duclouxii Dode. BMC PLANT BIOLOGY 2019; 19:596. [PMID: 31888555 PMCID: PMC6937828 DOI: 10.1186/s12870-019-2207-y] [Citation(s) in RCA: 12] [Impact Index Per Article: 2.4] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 07/10/2019] [Accepted: 12/17/2019] [Indexed: 05/08/2023]
Abstract
BACKGROUND Catalpa bungei is an important tree species used for timber in China and widely cultivated for economic and ornamental purposes. A high-density linkage map of C. bungei would be an efficient tool not only for identifying key quantitative trait loci (QTLs) that affect important traits, such as plant growth and leaf traits, but also for other genetic studies. RESULTS Restriction site-associated DNA sequencing (RAD-seq) was used to identify molecular markers and construct a genetic map. Approximately 280.77 Gb of clean data were obtained after sequencing, and in total, 25,614,295 single nucleotide polymorphisms (SNPs) and 2,871,647 insertions-deletions (InDels) were initially identified in the genomes of 200 individuals of a C. bungei (7080) × Catalpa duclouxii (16-PJ-3) F1 population and their parents. Finally, 9072 SNP and 521 InDel markers that satisfied the requirements for constructing a genetic map were obtained. The integrated genetic map contained 9593 pleomorphic markers in 20 linkage groups and spanned 3151.63 cM, with an average distance between adjacent markers of 0.32 cM. Twenty QTLs for seven leaf traits and 13 QTLs for plant height at five successive time points were identified using our genetic map by inclusive composite interval mapping (ICIM). Q16-60 was identified as a QTL for five leaf traits, and three significant QTLs (Q9-1, Q18-66 and Q18-73) associated with plant growth were detected at least twice. Genome annotation suggested that a cyclin gene participates in leaf trait development, while the growth of C. bungei may be influenced by CDC48C and genes associated with phytohormone synthesis. CONCLUSIONS This is the first genetic map constructed in C. bungei and will be a useful tool for further genetic study, molecular marker-assisted breeding and genome assembly.
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Affiliation(s)
- Nan Lu
- State Key Laboratory of Tree Genetics and Breeding, Key Laboratory of Tree Breeding and Cultivation of State Forestry Administration, Research Institute of Forestry, Chinese Academy of Forestry, Beijing, 100091 People’s Republic of China
| | - Miaomiao Zhang
- State Key Laboratory of Tree Genetics and Breeding, Key Laboratory of Tree Breeding and Cultivation of State Forestry Administration, Research Institute of Forestry, Chinese Academy of Forestry, Beijing, 100091 People’s Republic of China
| | - Yao Xiao
- State Key Laboratory of Tree Genetics and Breeding, Key Laboratory of Tree Breeding and Cultivation of State Forestry Administration, Research Institute of Forestry, Chinese Academy of Forestry, Beijing, 100091 People’s Republic of China
| | - Donghua Han
- College of Landscape Architecture, Nanjing Forestry University, Nanjing, 210037 Jiangsu People’s Republic of China
| | - Ying Liu
- College of Forestry, Northwest A&F University, Yangling, 712100 Shaanxi People’s Republic of China
| | - Yu Zhang
- State Key Laboratory of Tree Genetics and Breeding, Key Laboratory of Tree Breeding and Cultivation of State Forestry Administration, Research Institute of Forestry, Chinese Academy of Forestry, Beijing, 100091 People’s Republic of China
| | - Fei Yi
- State Key Laboratory of Tree Genetics and Breeding, Key Laboratory of Tree Breeding and Cultivation of State Forestry Administration, Research Institute of Forestry, Chinese Academy of Forestry, Beijing, 100091 People’s Republic of China
| | - Tianqing Zhu
- State Key Laboratory of Tree Genetics and Breeding, Key Laboratory of Tree Breeding and Cultivation of State Forestry Administration, Research Institute of Forestry, Chinese Academy of Forestry, Beijing, 100091 People’s Republic of China
| | - Wenjun Ma
- State Key Laboratory of Tree Genetics and Breeding, Key Laboratory of Tree Breeding and Cultivation of State Forestry Administration, Research Institute of Forestry, Chinese Academy of Forestry, Beijing, 100091 People’s Republic of China
| | - Erqin Fan
- State Key Laboratory of Tree Genetics and Breeding, Key Laboratory of Tree Breeding and Cultivation of State Forestry Administration, Research Institute of Forestry, Chinese Academy of Forestry, Beijing, 100091 People’s Republic of China
- State Key Laboratory of Tree Genetics and Breeding, Northeast Forestry University, Harbin, People’s Republic of China
| | - Guanzheng Qu
- State Key Laboratory of Tree Genetics and Breeding, Northeast Forestry University, Harbin, People’s Republic of China
| | - Junhui Wang
- State Key Laboratory of Tree Genetics and Breeding, Key Laboratory of Tree Breeding and Cultivation of State Forestry Administration, Research Institute of Forestry, Chinese Academy of Forestry, Beijing, 100091 People’s Republic of China
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Yang Z, Yang Y, Dai Z, Xie D, Tang Q, Cheng C, Xu Y, Liu C, Deng C, Chen J, Su J. Construction of a high-resolution genetic map and identification of quantitative trait loci for salt tolerance in jute (Corchous spp.). BMC PLANT BIOLOGY 2019; 19:391. [PMID: 31500566 PMCID: PMC6734509 DOI: 10.1186/s12870-019-2004-7] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 11/29/2018] [Accepted: 08/30/2019] [Indexed: 06/10/2023]
Abstract
BACKGROUND Jute (Corchorus spp.) is the most important natural fiber crop after cotton in terms of cultivation area and production. Salt stress greatly restricts plant development and growth. A high-density genetic linkage map is the basis of quantitative trait locus (QTLs) mapping. Several high-density genetic maps and QTLs mapping related to salt tolerance have been developed through next-generation sequencing in many crop species. However, such studies are rare for jute. Only several low-density genetic maps have been constructed and no salt tolerance-related QTL has been mapped in jute to date. RESULTS We developed a high-density genetic map with 4839 single nucleotide polymorphism markers spanning 1375.41 cM and an average distance of 0.28 cM between adjacent markers on seven linkage groups (LGs) using an F2 jute population, LGs ranged from LG2 with 299 markers spanning 113.66 cM to LG7 with 1542 markers spanning 350.18 cM. In addition, 99.57% of gaps between adjacent markers were less than 5 cM. Three obvious and 13 minor QTLs involved in salt tolerance were identified on four LGs explaining 0.58-19.61% of the phenotypic variance. The interval length of QTL mapping varied from 1.3 to 20.2 cM. The major QTL, qJST-1, was detected under two salt stress conditions that explained 11.81 and 19.61% of the phenotypic variation, respectively, and peaked at 19.3 cM on LG4. CONCLUSIONS We developed the first high-density and the most complete genetic map of jute to date using a genotyping-by-sequencing approach. The first QTL mapping related to salt tolerance was also carried out in jute. These results should provide useful resources for marker-assisted selection and transgenic breeding for salt tolerance at the germination stage in jute.
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Affiliation(s)
- Zemao Yang
- Institute of Bast Fiber Crops, Chinese Academy of Agricultural Sciences/Key Laboratory of Stem-fiber Biomass and Engineering Microbiology, Ministry of Agriculture, Changsha, 410205 People’s Republic of China
| | - Youxin Yang
- Department of Horticulture, College of Agronomy, Jiangxi Agricultural University, Nanchang, 330045 People’s Republic of China
| | - Zhigang Dai
- Institute of Bast Fiber Crops, Chinese Academy of Agricultural Sciences/Key Laboratory of Stem-fiber Biomass and Engineering Microbiology, Ministry of Agriculture, Changsha, 410205 People’s Republic of China
| | - Dongwei Xie
- Institute of Industrial Crops, Heilongjiang Academy of Agricultural Sciences, Harbin, 150000 People’s Republic of China
| | - Qing Tang
- Institute of Bast Fiber Crops, Chinese Academy of Agricultural Sciences/Key Laboratory of Stem-fiber Biomass and Engineering Microbiology, Ministry of Agriculture, Changsha, 410205 People’s Republic of China
| | - Chaohua Cheng
- Institute of Bast Fiber Crops, Chinese Academy of Agricultural Sciences/Key Laboratory of Stem-fiber Biomass and Engineering Microbiology, Ministry of Agriculture, Changsha, 410205 People’s Republic of China
| | - Ying Xu
- Institute of Bast Fiber Crops, Chinese Academy of Agricultural Sciences/Key Laboratory of Stem-fiber Biomass and Engineering Microbiology, Ministry of Agriculture, Changsha, 410205 People’s Republic of China
| | - Chan Liu
- Institute of Bast Fiber Crops, Chinese Academy of Agricultural Sciences/Key Laboratory of Stem-fiber Biomass and Engineering Microbiology, Ministry of Agriculture, Changsha, 410205 People’s Republic of China
| | - Canhui Deng
- Institute of Bast Fiber Crops, Chinese Academy of Agricultural Sciences/Key Laboratory of Stem-fiber Biomass and Engineering Microbiology, Ministry of Agriculture, Changsha, 410205 People’s Republic of China
| | - Jiquan Chen
- Institute of Bast Fiber Crops, Chinese Academy of Agricultural Sciences/Key Laboratory of Stem-fiber Biomass and Engineering Microbiology, Ministry of Agriculture, Changsha, 410205 People’s Republic of China
| | - Jianguang Su
- Institute of Bast Fiber Crops, Chinese Academy of Agricultural Sciences/Key Laboratory of Stem-fiber Biomass and Engineering Microbiology, Ministry of Agriculture, Changsha, 410205 People’s Republic of China
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Ma J, Pei W, Ma Q, Geng Y, Liu G, Liu J, Cui Y, Zhang X, Wu M, Li X, Li D, Zang X, Song J, Tang S, Zhang J, Yu S, Yu J. QTL analysis and candidate gene identification for plant height in cotton based on an interspecific backcross inbred line population of Gossypium hirsutum × Gossypium barbadense. TAG. THEORETICAL AND APPLIED GENETICS. THEORETISCHE UND ANGEWANDTE GENETIK 2019; 132:2663-2676. [PMID: 31236630 DOI: 10.1007/s00122-019-03380-7] [Citation(s) in RCA: 19] [Impact Index Per Article: 3.8] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 01/22/2019] [Accepted: 06/14/2019] [Indexed: 05/24/2023]
Abstract
We constructed the first high-quality and high-density genetic linkage map for an interspecific BIL population in cotton by specific-locus amplified fragment sequencing for QTL mapping. A novel gene GhPIN3 for plant height was identified in cotton. Ideal plant height (PH) is important for improving lint yield and mechanized harvesting in cotton. Most published genetic studies on cotton have focused on fibre yield and quality traits rather than PH. To facilitate the understanding of the genetic basis in PH, an interspecific backcross inbred line (BIL) population of 250 lines derived from upland cotton (Gossypium hirsutum L.) CRI36 and Egyptian cotton (G. barbadense L.) Hai7124 was used to construct a high-density genetic linkage map for quantitative trait locus (QTL) mapping. The high-density genetic map harboured 7,709 genotyping-by-sequencing (GBS)-based single nucleotide polymorphism (SNP) markers that covered 3,433.24 cM with a mean marker interval of 0.67 cM. In total, ten PH QTLs were identified and each explained 4.27-14.92% of the phenotypic variation, four of which were stable as they were mapped in at least two tests or based on best linear unbiased prediction in seven field tests. Based on functional annotation of orthologues in Arabidopsis and transcriptome data for the genes within the stable QTL regions, GhPIN3 encoding for the hormone auxin efflux carrier protein was identified as a candidate gene located in the stable QTL qPH-Dt1-1 region. A qRT-PCR analysis showed that the expression level of GhPIN3 in apical tissues was significantly higher in four short-statured cotton genotypes than that in four tall-statured cotton genotypes. Virus-induced gene silencing cotton has significantly increased PH when the expression of the GhPIN3 gene was suppressed.
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Affiliation(s)
- Jianjiang Ma
- State Key Laboratory of Cotton Biology, Cotton Institute of the Chinese Academy of Agricultural Sciences, Key Laboratory of Cotton Genetic Improvement, Ministry of Agriculture, Anyang, 455000, Henan, China
- College of Agriculture, Northwest A&F University, Yangling, 712100, Shanxi, China
| | - Wenfeng Pei
- Xinjiang Research Base, State Key Laboratory of Cotton Biology, Xinjiang Agricultural University, Urumqi, 830001, China
| | - Qifeng Ma
- State Key Laboratory of Cotton Biology, Cotton Institute of the Chinese Academy of Agricultural Sciences, Key Laboratory of Cotton Genetic Improvement, Ministry of Agriculture, Anyang, 455000, Henan, China
| | - Yanhui Geng
- State Key Laboratory of Cotton Biology, Cotton Institute of the Chinese Academy of Agricultural Sciences, Key Laboratory of Cotton Genetic Improvement, Ministry of Agriculture, Anyang, 455000, Henan, China
| | - Guoyuan Liu
- State Key Laboratory of Cotton Biology, Cotton Institute of the Chinese Academy of Agricultural Sciences, Key Laboratory of Cotton Genetic Improvement, Ministry of Agriculture, Anyang, 455000, Henan, China
| | - Ji Liu
- State Key Laboratory of Cotton Biology, Cotton Institute of the Chinese Academy of Agricultural Sciences, Key Laboratory of Cotton Genetic Improvement, Ministry of Agriculture, Anyang, 455000, Henan, China
| | - Yupeng Cui
- State Key Laboratory of Cotton Biology, Cotton Institute of the Chinese Academy of Agricultural Sciences, Key Laboratory of Cotton Genetic Improvement, Ministry of Agriculture, Anyang, 455000, Henan, China
| | - Xia Zhang
- State Key Laboratory of Cotton Biology, Cotton Institute of the Chinese Academy of Agricultural Sciences, Key Laboratory of Cotton Genetic Improvement, Ministry of Agriculture, Anyang, 455000, Henan, China
| | - Man Wu
- State Key Laboratory of Cotton Biology, Cotton Institute of the Chinese Academy of Agricultural Sciences, Key Laboratory of Cotton Genetic Improvement, Ministry of Agriculture, Anyang, 455000, Henan, China
| | - Xingli Li
- State Key Laboratory of Cotton Biology, Cotton Institute of the Chinese Academy of Agricultural Sciences, Key Laboratory of Cotton Genetic Improvement, Ministry of Agriculture, Anyang, 455000, Henan, China
| | - Dan Li
- State Key Laboratory of Cotton Biology, Cotton Institute of the Chinese Academy of Agricultural Sciences, Key Laboratory of Cotton Genetic Improvement, Ministry of Agriculture, Anyang, 455000, Henan, China
| | - XinShan Zang
- State Key Laboratory of Cotton Biology, Cotton Institute of the Chinese Academy of Agricultural Sciences, Key Laboratory of Cotton Genetic Improvement, Ministry of Agriculture, Anyang, 455000, Henan, China
| | - Jikun Song
- State Key Laboratory of Cotton Biology, Cotton Institute of the Chinese Academy of Agricultural Sciences, Key Laboratory of Cotton Genetic Improvement, Ministry of Agriculture, Anyang, 455000, Henan, China
| | - Shurong Tang
- State Key Laboratory of Cotton Biology, Cotton Institute of the Chinese Academy of Agricultural Sciences, Key Laboratory of Cotton Genetic Improvement, Ministry of Agriculture, Anyang, 455000, Henan, China
| | - Jinfa Zhang
- Department of Plant and Environmental Sciences, New Mexico State University, Las Cruces, 880033, USA.
| | - Shuxun Yu
- State Key Laboratory of Cotton Biology, Cotton Institute of the Chinese Academy of Agricultural Sciences, Key Laboratory of Cotton Genetic Improvement, Ministry of Agriculture, Anyang, 455000, Henan, China.
- College of Agriculture, Northwest A&F University, Yangling, 712100, Shanxi, China.
| | - Jiwen Yu
- State Key Laboratory of Cotton Biology, Cotton Institute of the Chinese Academy of Agricultural Sciences, Key Laboratory of Cotton Genetic Improvement, Ministry of Agriculture, Anyang, 455000, Henan, China.
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Zhang XF, Wang GY, Dong TT, Chen B, Du HS, Li CB, Zhang FL, Zhang HY, Xu Y, Wang Q, Geng SS. High-density genetic map construction and QTL mapping of first flower node in pepper (Capsicum annuum L.). BMC PLANT BIOLOGY 2019; 19:167. [PMID: 31035914 PMCID: PMC6489210 DOI: 10.1186/s12870-019-1753-7] [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: 12/04/2018] [Accepted: 03/31/2019] [Indexed: 05/13/2023]
Abstract
BACKGROUND First flower node (FFN) is an important trait for evaluating fruit earliness in pepper (Capsicum annuum L.). The trait is controlled by quantitative trait loci (QTL); however, studies have been limited on QTL mapping and genes contributing to the trait. RESULTS In this study, we developed a high density genetic map using specific-locus amplified fragment sequencing (SLAF-seq), a high-throughput strategy for de novo single nucleotide polymorphism discovery, based on 146 recombinant inbred lines (RILs) derived from an intraspecific cross between PM702 and FS871. The map contained 9328 SLAF markers on 12 linkage groups (LGs), and spanned a total genetic distance of 2009.69 centimorgan (cM) with an average distance of 0.22 cM. The sequencing depth for the map was 72.39-fold in the male parent, 57.04-fold in the female parent, and 15.65-fold in offspring. Using the genetic map, two major QTLs, named Ffn2.1 and Ffn2.2, identified on LG02 were strongly associated with FFN, with a phenotypic variance explanation of 28.62 and 19.56%, respectively. On the basis of the current annotation of C. annuum cv. Criollo de Morelos (CM334), 59 candidate genes were found within the Ffn2.1 and Ffn2.2 region, but only 3 of 59 genes were differentially expressed according to the RNA-seq results. Eventually we identified one gene associated with the FFN based on the function through GO, KEGG, and Swiss-prot analysis. CONCLUSIONS Our research showed that the construction of high-density genetic map using SLAF-seq is a valuable tool for fine QTL mapping. The map we constructed is by far the most saturated complete genetic map of pepper, and using it we conducted fine QTL mapping for the important trait, FFN. QTLs and candidate genes obtained in this study lay a good foundation for the further research on FFN-related genes and other genetic applications in pepper.
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Affiliation(s)
- Xiao-fen Zhang
- Key Laboratory of Biology and Genetic Improvement of Horticultural Crops (North China), Ministry of Agriculture, Beijing Vegetable Research Center, Beijing Academy of Agriculture and Forestry Sciences, Beijing, 100097 People’s Republic of China
- College of Horticulture, China Agricultural University, Beijing, 100097 People’s Republic of China
| | - Guo-yun Wang
- Key Laboratory of Biology and Genetic Improvement of Horticultural Crops (North China), Ministry of Agriculture, Beijing Vegetable Research Center, Beijing Academy of Agriculture and Forestry Sciences, Beijing, 100097 People’s Republic of China
| | - Ting-ting Dong
- Key Laboratory of Biology and Genetic Improvement of Horticultural Crops (North China), Ministry of Agriculture, Beijing Vegetable Research Center, Beijing Academy of Agriculture and Forestry Sciences, Beijing, 100097 People’s Republic of China
| | - Bin Chen
- Key Laboratory of Biology and Genetic Improvement of Horticultural Crops (North China), Ministry of Agriculture, Beijing Vegetable Research Center, Beijing Academy of Agriculture and Forestry Sciences, Beijing, 100097 People’s Republic of China
| | - He-shan Du
- Key Laboratory of Biology and Genetic Improvement of Horticultural Crops (North China), Ministry of Agriculture, Beijing Vegetable Research Center, Beijing Academy of Agriculture and Forestry Sciences, Beijing, 100097 People’s Republic of China
| | - Chang-bao Li
- Key Laboratory of Biology and Genetic Improvement of Horticultural Crops (North China), Ministry of Agriculture, Beijing Vegetable Research Center, Beijing Academy of Agriculture and Forestry Sciences, Beijing, 100097 People’s Republic of China
| | - Feng-lan Zhang
- Key Laboratory of Biology and Genetic Improvement of Horticultural Crops (North China), Ministry of Agriculture, Beijing Vegetable Research Center, Beijing Academy of Agriculture and Forestry Sciences, Beijing, 100097 People’s Republic of China
| | - Hai-ying Zhang
- Key Laboratory of Biology and Genetic Improvement of Horticultural Crops (North China), Ministry of Agriculture, Beijing Vegetable Research Center, Beijing Academy of Agriculture and Forestry Sciences, Beijing, 100097 People’s Republic of China
| | - Yong Xu
- Key Laboratory of Biology and Genetic Improvement of Horticultural Crops (North China), Ministry of Agriculture, Beijing Vegetable Research Center, Beijing Academy of Agriculture and Forestry Sciences, Beijing, 100097 People’s Republic of China
| | - Qian Wang
- College of Horticulture, China Agricultural University, Beijing, 100097 People’s Republic of China
| | - San-sheng Geng
- Key Laboratory of Biology and Genetic Improvement of Horticultural Crops (North China), Ministry of Agriculture, Beijing Vegetable Research Center, Beijing Academy of Agriculture and Forestry Sciences, Beijing, 100097 People’s Republic of China
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12
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Waiho K, Shi X, Fazhan H, Li S, Zhang Y, Zheng H, Liu W, Fang S, Ikhwanuddin M, Ma H. High-Density Genetic Linkage Maps Provide Novel Insights Into ZW/ZZ Sex Determination System and Growth Performance in Mud Crab ( Scylla paramamosain). Front Genet 2019; 10:298. [PMID: 31024620 PMCID: PMC6459939 DOI: 10.3389/fgene.2019.00298] [Citation(s) in RCA: 14] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/27/2018] [Accepted: 03/19/2019] [Indexed: 02/06/2023] Open
Abstract
Mud crab, Scylla paramamosain is one of the most important crustacean species in global aquaculture. To determine the genetic basis of sex and growth-related traits in S. paramamosain, a high-density genetic linkage map with 16,701 single nucleotide polymorphisms (SNPs) was constructed using SLAF-seq and a full-sib family. The consensus map has 49 linkage groups, spanning 5,996.66 cM with an average marker-interval of 0.81 cM. A total of 516 SNP markers, including 8 female-specific SNPs segregated in two quantitative trait loci (QTLs) for phenotypic sex were located on LG32. The presence of female-specific SNP markers only on female linkage map, their segregation patterns and lower female: male recombination rate strongly suggest the conformation of a ZW/ZZ sex determination system in S. paramamosain. The QTLs of most (90%) growth-related traits were found within a small interval (25.18–33.74 cM) on LG46, highlighting the potential involvement of LG46 in growth. Four markers on LG46 were significantly associated with 10–16 growth-related traits. BW was only associated with marker 3846. Based on the annotation of transcriptome data, 11 and 2 candidate genes were identified within the QTL regions of sex and growth-related traits, respectively. The newly constructed high-density genetic linkage map with sex-specific SNPs, and the identified QTLs of sex- and growth-related traits serve as a valuable genetic resource and solid foundation for marker-assisted selection and genetic improvement of crustaceans.
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Affiliation(s)
- Khor Waiho
- Guangdong Provincial Key Laboratory of Marine Biotechnology, Shantou University, Shantou, China.,STU-UMT Joint Shellfish Research Laboratory, Shantou University, Shantou, China.,Laboratory for Marine Fisheries Science and Food Production Processes, Pilot National Laboratory for Marine Science and Technology (Qingdao), Qingdao, China
| | - Xi Shi
- Guangdong Provincial Key Laboratory of Marine Biotechnology, Shantou University, Shantou, China.,STU-UMT Joint Shellfish Research Laboratory, Shantou University, Shantou, China
| | - Hanafiah Fazhan
- Guangdong Provincial Key Laboratory of Marine Biotechnology, Shantou University, Shantou, China.,STU-UMT Joint Shellfish Research Laboratory, Shantou University, Shantou, China
| | - Shengkang Li
- Guangdong Provincial Key Laboratory of Marine Biotechnology, Shantou University, Shantou, China.,STU-UMT Joint Shellfish Research Laboratory, Shantou University, Shantou, China
| | - Yueling Zhang
- Guangdong Provincial Key Laboratory of Marine Biotechnology, Shantou University, Shantou, China.,STU-UMT Joint Shellfish Research Laboratory, Shantou University, Shantou, China
| | - Huaiping Zheng
- Guangdong Provincial Key Laboratory of Marine Biotechnology, Shantou University, Shantou, China.,STU-UMT Joint Shellfish Research Laboratory, Shantou University, Shantou, China
| | - Wenhua Liu
- Guangdong Provincial Key Laboratory of Marine Biotechnology, Shantou University, Shantou, China.,STU-UMT Joint Shellfish Research Laboratory, Shantou University, Shantou, China
| | - Shaobin Fang
- Guangdong Provincial Key Laboratory of Marine Biotechnology, Shantou University, Shantou, China.,STU-UMT Joint Shellfish Research Laboratory, Shantou University, Shantou, China
| | - Mhd Ikhwanuddin
- STU-UMT Joint Shellfish Research Laboratory, Shantou University, Shantou, China.,Institute of Tropical Aquaculture, Universiti Malaysia Terengganu, Kuala Terengganu, Malaysia
| | - Hongyu Ma
- Guangdong Provincial Key Laboratory of Marine Biotechnology, Shantou University, Shantou, China.,STU-UMT Joint Shellfish Research Laboratory, Shantou University, Shantou, China.,Laboratory for Marine Fisheries Science and Food Production Processes, Pilot National Laboratory for Marine Science and Technology (Qingdao), Qingdao, China
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13
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Zhu Z, Sun B, Wei J, Cai W, Huang Z, Chen C, Cao B, Chen G, Lei J. Construction of a high density genetic map of an interspecific cross of Capsicum chinense and Capsicum annuum and QTL analysis of floral traits. Sci Rep 2019; 9:1054. [PMID: 30705330 PMCID: PMC6355862 DOI: 10.1038/s41598-018-38370-0] [Citation(s) in RCA: 16] [Impact Index Per Article: 3.2] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/26/2018] [Accepted: 12/27/2018] [Indexed: 11/09/2022] Open
Abstract
The yield of pepper plants (Capsicum spp.) is their most important trait and is affected by the flower number and flowering time. Capsicum annuum produces a single flower per node and has an early flowering habit. By contrast, Capsicum chinense yields multiple flowers per node and has a late flowering character. However, the genetic mechanism underlying the control of these floral traits remains largely unknown. In this study, 150 F2 populations from an interspecific cross between the inbred lines 740 (C. chinense) and CA1 (C. annuum) and their parents were used to construct a molecular genetic linkage map using the specific length amplified fragment sequencing (SLAF-seq) technique. This linkage map, spanning 1,586.78 cM in length, contained 9,038 markers on 12 chromosomes, with a mean marker distance of 0.18 cM. Phenotypic data on the flowering time and flower number per node were collected over multiple years, and QTL analysis identified 6 QTLs for the flowering time and flower number per node by composite interval mapping (CIM) and genome-wide composite interval mapping (GCIM) methods at least in two environments. The candidate genes within the major QTL were predicted. In the major flowering time QTL, the candidate gene Capana02g000700, which encodes the homeotic protein APETALA2, was identified. Quantitative reverse-transcription PCR (qRT-PCR) analysis indicated that its expression level in 740 was higher than that in CA1. Gene expression analysis indicated that the expression of Capana02g000700 was significantly upregulated in flowers, and many floral development-related genes were found to be coexpressed with Capana02g000700, supporting the function of this gene in association with flowering time in C. chinense and C. annuum species.
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Affiliation(s)
- Zhangsheng Zhu
- Key Laboratory of Horticultural Crop Biology and Germplasm innovation in South China, College of Horticulture, South China Agricultural University, Guangzhou, 510642, China
| | - Binmei Sun
- Key Laboratory of Horticultural Crop Biology and Germplasm innovation in South China, College of Horticulture, South China Agricultural University, Guangzhou, 510642, China
| | - Jianlang Wei
- Key Laboratory of Horticultural Crop Biology and Germplasm innovation in South China, College of Horticulture, South China Agricultural University, Guangzhou, 510642, China
| | - Wen Cai
- Key Laboratory of Horticultural Crop Biology and Germplasm innovation in South China, College of Horticulture, South China Agricultural University, Guangzhou, 510642, China
| | - Zhubin Huang
- Key Laboratory of Horticultural Crop Biology and Germplasm innovation in South China, College of Horticulture, South China Agricultural University, Guangzhou, 510642, China
| | - Changming Chen
- Key Laboratory of Horticultural Crop Biology and Germplasm innovation in South China, College of Horticulture, South China Agricultural University, Guangzhou, 510642, China
| | - Bihao Cao
- Key Laboratory of Horticultural Crop Biology and Germplasm innovation in South China, College of Horticulture, South China Agricultural University, Guangzhou, 510642, China
| | - Guoju Chen
- Key Laboratory of Horticultural Crop Biology and Germplasm innovation in South China, College of Horticulture, South China Agricultural University, Guangzhou, 510642, China.
| | - Jianjun Lei
- Key Laboratory of Horticultural Crop Biology and Germplasm innovation in South China, College of Horticulture, South China Agricultural University, Guangzhou, 510642, China.
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14
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Xu LY, Wang LY, Wei K, Tan LQ, Su JJ, Cheng H. High-density SNP linkage map construction and QTL mapping for flavonoid-related traits in a tea plant (Camellia sinensis) using 2b-RAD sequencing. BMC Genomics 2018; 19:955. [PMID: 30577813 PMCID: PMC6304016 DOI: 10.1186/s12864-018-5291-8] [Citation(s) in RCA: 24] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/07/2018] [Accepted: 11/20/2018] [Indexed: 01/18/2023] Open
Abstract
BACKGROUND Flavonoids are important components that confer upon tea plants a unique flavour and health functions. However, the traditional breeding method for selecting a cultivar with a high or unique flavonoid content is time consuming and labour intensive. High-density genetic map construction associated with quantitative trait locus (QTL) mapping provides an effective way to facilitate trait improvement in plant breeding. In this study, an F1 population (LJ43×BHZ) was genotyped using 2b-restriction site-associated DNA (2b-RAD) sequencing to obtain massive single nucleotide polymorphism (SNP) markers to construct a high-density genetic map for a tea plant. Furthermore, QTLs related to flavonoids were identified using our new genetic map. RESULTS A total of 13,446 polymorphic SNP markers were developed using 2b-RAD sequencing, and 4,463 of these markers were available for constructing the genetic linkage map. A 1,678.52-cM high-density map at an average interval of 0.40 cM with 4,217 markers, including 427 frameset simple sequence repeats (SSRs) and 3,800 novel SNPs, mapped into 15 linkage groups was successfully constructed. After QTL analysis, a total of 27 QTLs related to flavonoids or caffeine content (CAF) were mapped to 8 different linkage groups, LG01, LG03, LG06, LG08, LG10, LG11, LG12, and LG13, with an LOD from 3.14 to 39.54, constituting 7.5% to 42.8% of the phenotypic variation. CONCLUSIONS To our knowledge, the highest density genetic map ever reported was constructed since the largest mapping population of tea plants was adopted in present study. Moreover, novel QTLs related to flavonoids and CAF were identified based on the new high-density genetic map. In addition, two markers were located in candidate genes that may be involved in flavonoid metabolism. The present study provides valuable information for gene discovery, marker-assisted selection breeding and map-based cloning for functional genes that are related to flavonoid content in tea plants.
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Affiliation(s)
- Li-Yi Xu
- National Centre for Tea Improvement, Tea Research Institute, Chinese Academy of Agricultural Sciences, Hangzhou, 310008 China
- College of Horticulture and Forestry Science, Huazhong Agricultural University, Wuhan, 430070 China
| | - Li-Yuan Wang
- National Centre for Tea Improvement, Tea Research Institute, Chinese Academy of Agricultural Sciences, Hangzhou, 310008 China
| | - Kang Wei
- National Centre for Tea Improvement, Tea Research Institute, Chinese Academy of Agricultural Sciences, Hangzhou, 310008 China
| | - Li-Qiang Tan
- College of Horticulture, Sichuan Agricultural University, Chengdu, 611130 China
| | - Jing-Jing Su
- National Centre for Tea Improvement, Tea Research Institute, Chinese Academy of Agricultural Sciences, Hangzhou, 310008 China
| | - Hao Cheng
- National Centre for Tea Improvement, Tea Research Institute, Chinese Academy of Agricultural Sciences, Hangzhou, 310008 China
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15
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Zheng Y, Xu F, Li Q, Wang G, Liu N, Gong Y, Li L, Chen ZH, Xu S. QTL Mapping Combined With Bulked Segregant Analysis Identify SNP Markers Linked to Leaf Shape Traits in Pisum sativum Using SLAF Sequencing. Front Genet 2018; 9:615. [PMID: 30568674 PMCID: PMC6290080 DOI: 10.3389/fgene.2018.00615] [Citation(s) in RCA: 17] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/22/2018] [Accepted: 11/23/2018] [Indexed: 12/04/2022] Open
Abstract
Leaf shape is an important trait that influences the utilization rate of light, and affects quality and yield of pea (Pisum sativum). In the present study, a joint method of high-density genetic mapping using specific locus amplified fragment sequencing (SLAF-seq) and bulked segregant analysis (BSA) was applied to rapidly detect loci with leaf shape traits. A total of 7,146 polymorphic SLAFs containing 12,213 SNP markers were employed to construct a high-density genetic map for pea. We conducted quantitative trait locus (QTL) mapping on an F2 population to identify QTLs associated with leaf shape traits. Moreover, SLAF-BSA was conducted on the same F2 population to identify the single nucleotide polymorphism (SNP) markers linked to leaf shape in pea. Two QTLs (qLeaf_or-1, qLeaf_or-2) were mapped on linkage group 7 (LG7) for pea leaf shape. Through alignment of SLAF markers with Cicer arietinum, Medicago truncatula, and Glycine max, the pea LGs were assigned to their corresponding homologous chromosomal groups. The comparative genetic analysis showed that pea is more closely related to M. truncatula. Based on the sequencing results of two pools with different leaf shape, 179 associated markers were obtained after association analysis. The joint analysis of SLAF-seq and BSA showed that the QTLs obtained from mapping on a high-density genetic map are convincing due to the closely associated map region with the BSA results, which provided more potential markers related to leaf shape. Thus, the identified QTLs could be used in marker-assisted selection for pea breeding in the future. Our study revealed that joint analysis of QTL mapping on a high-density genetic map and BSA-seq is a cost-effective and accurate method to reveal genetic architecture of target traits in plant species without a reference genome.
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Affiliation(s)
- Yuanting Zheng
- Central Laboratory of Zhejiang Academy of Agricultural Sciences, Hangzhou, China
- College of Agriculture & Biotechnology, Zhejiang University, Hangzhou, China
| | - Fei Xu
- Central Laboratory of Zhejiang Academy of Agricultural Sciences, Hangzhou, China
| | - Qikai Li
- College of Agriculture & Biotechnology, Zhejiang University, Hangzhou, China
| | - Gangjun Wang
- Central Laboratory of Zhejiang Academy of Agricultural Sciences, Hangzhou, China
| | - Na Liu
- Central Laboratory of Zhejiang Academy of Agricultural Sciences, Hangzhou, China
| | - Yaming Gong
- Central Laboratory of Zhejiang Academy of Agricultural Sciences, Hangzhou, China
| | - Lulu Li
- College of Agriculture & Biotechnology, Zhejiang University, Hangzhou, China
| | - Zhong-Hua Chen
- School of Science and Health, Hawkesbury Institute for the Environment, Western Sydney University, Penrith, NSW, Australia
| | - Shengchun Xu
- Central Laboratory of Zhejiang Academy of Agricultural Sciences, Hangzhou, China
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16
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Yang Z, Dai Z, Xie D, Chen J, Tang Q, Cheng C, Xu Y, Wang T, Su J. Development of an InDel polymorphism database for jute via comparative transcriptome analysis. Genome 2018; 61:323-327. [PMID: 29420906 DOI: 10.1139/gen-2017-0191] [Citation(s) in RCA: 12] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/22/2022]
Abstract
Jute (Corchorus spp.) is one of the most commercially important bast fiber crops in the world. However, molecular markers and high-density genetic maps are still lacking on jute compared with other crops. Insertion/deletion (InDel) markers, one of the most abundant sources of DNA/RNA variations in plant genomes, can easily be distinguished among different accessions using high-throughput sequencing. Using three transcriptome datasets, we identified and developed InDel markers. Altogether, 51 172 InDel sites in 18 800 unigenes were discovered, and the number of InDel loci per unigene varied from 1 to 31. Further, we found 94 InDel types, varying from 1 to 159 bp; the most common were single-nucleotide (23 028), binucleotide (9824), and trinucleotide (9182). In total, 49 563 InDels in 18 445 transcripts were discovered in the comparison between TC and YG, followed by 48 934 InDels in 18 408 transcripts between NY and YG, and 3570 InDels in 2701 unigenes between NY and TC. Additionally, there were 1273 InDel sites in 1129 unigenes with polymorphisms between any two of the three accessions. Twenty-nine (58%) primer pairs represented polymorphisms when compared to the jute accessions, and PIC varied from 0.340 to 0.680, with an average of 0.491.
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Affiliation(s)
- Zemao Yang
- a Institute of Bast Fiber Crops, Chinese Academy of Agricultural Sciences/Key Laboratory of Stem-fiber Biomass and Engineering Microbiology, Ministry of Agriculture, Changsha, China
| | - Zhigang Dai
- a Institute of Bast Fiber Crops, Chinese Academy of Agricultural Sciences/Key Laboratory of Stem-fiber Biomass and Engineering Microbiology, Ministry of Agriculture, Changsha, China
| | - Dongwei Xie
- a Institute of Bast Fiber Crops, Chinese Academy of Agricultural Sciences/Key Laboratory of Stem-fiber Biomass and Engineering Microbiology, Ministry of Agriculture, Changsha, China
| | - Jiquan Chen
- a Institute of Bast Fiber Crops, Chinese Academy of Agricultural Sciences/Key Laboratory of Stem-fiber Biomass and Engineering Microbiology, Ministry of Agriculture, Changsha, China
| | - Qing Tang
- a Institute of Bast Fiber Crops, Chinese Academy of Agricultural Sciences/Key Laboratory of Stem-fiber Biomass and Engineering Microbiology, Ministry of Agriculture, Changsha, China
| | - Chaohua Cheng
- a Institute of Bast Fiber Crops, Chinese Academy of Agricultural Sciences/Key Laboratory of Stem-fiber Biomass and Engineering Microbiology, Ministry of Agriculture, Changsha, China
| | - Ying Xu
- a Institute of Bast Fiber Crops, Chinese Academy of Agricultural Sciences/Key Laboratory of Stem-fiber Biomass and Engineering Microbiology, Ministry of Agriculture, Changsha, China
| | - Tingzhang Wang
- b Zhejiang Institute of Microbiology, Hangzhou, 310012, China
| | - Jianguang Su
- a Institute of Bast Fiber Crops, Chinese Academy of Agricultural Sciences/Key Laboratory of Stem-fiber Biomass and Engineering Microbiology, Ministry of Agriculture, Changsha, China
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17
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Lu J, Liu Y, Xu J, Mei Z, Shi Y, Liu P, He J, Wang X, Meng Y, Feng S, Shen C, Wang H. High-Density Genetic Map Construction and Stem Total Polysaccharide Content-Related QTL Exploration for Chinese Endemic Dendrobium (Orchidaceae). FRONTIERS IN PLANT SCIENCE 2018; 9:398. [PMID: 29636767 PMCID: PMC5880926 DOI: 10.3389/fpls.2018.00398] [Citation(s) in RCA: 10] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 11/30/2017] [Accepted: 03/12/2018] [Indexed: 05/19/2023]
Abstract
Plants of the Dendrobium genus are orchids with not only ornamental value but also high medicinal value. To understand the genetic basis of variations in active ingredients of the stem total polysaccharide contents (STPCs) among different Dendrobium species, it is of paramount importance to understand the mechanism of STPC formation and identify genes affecting its process at the whole genome level. Here, we report the first high-density single-nucleotide polymorphism (SNP) integrated genetic map with a good genome coverage of Dendrobium. The specific-locus amplified fragment sequencing (SLAF-seq) technology led to identification of 7,013,400 SNPs from 1,503,626 high-quality SLAF markers from two parents (Dendrobium moniliforme ♀ × Dendrobium officinale ♂) and their interspecific F1 hybrid population. The final genetic map contained 8, 573 SLAF markers, covering 19 linkage groups (LGs). This genetic map spanned a length of 2,737.49 cM, where the average distance between markers is 0.32 cM. In total, 5 quantitative trait loci (QTL) related to STPC were identified, 3 of which have candidate genes within the confidence intervals of these stable QTLs based on the D. officinale genome sequence. This study will build a foundation up for the mapping of other medicinal-related traits and provide an important reference for the molecular breeding of these Chinese herb.
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Affiliation(s)
- Jiangjie Lu
- College of Life and Environmental Sciences, Hangzhou Normal University, Hangzhou, China
- Zhejiang Provincial Key Laboratory for Genetic Improvement and Quality Control of Medicinal Plants, Hangzhou Normal University, Hangzhou, China
- State Key Laboratory of Systematic and Evolutionary Botany, Institute of Botany, Chinese Academy of Sciences, Beijing, China
- *Correspondence: Jiangjie Lu
| | - Yuyang Liu
- College of Life and Environmental Sciences, Hangzhou Normal University, Hangzhou, China
- Zhejiang Provincial Key Laboratory for Genetic Improvement and Quality Control of Medicinal Plants, Hangzhou Normal University, Hangzhou, China
| | - Jing Xu
- Center of Rare Plant Medicine Research of Zhejiang Province, Wuyi, China
- Zhejiang ShouXianGu Pharmaceutical Co. Ltd., Wuyi, China
| | - Ziwei Mei
- College of Pharmaceutical Science, Zhejiang Chinese Medical University, Hangzhou, China
| | - Yujun Shi
- School of Foreign Languages, Zhejiang Gongshang University, Hangzhou, China
| | - Pengli Liu
- College of Life and Environmental Sciences, Hangzhou Normal University, Hangzhou, China
- Zhejiang Provincial Key Laboratory for Genetic Improvement and Quality Control of Medicinal Plants, Hangzhou Normal University, Hangzhou, China
| | - Jianbo He
- Soybean Research Institute, Nanjing Agricultural University, Nanjing, China
| | - Xiaotong Wang
- Center of Rare Plant Medicine Research of Zhejiang Province, Wuyi, China
- Zhejiang ShouXianGu Pharmaceutical Co. Ltd., Wuyi, China
| | - Yijun Meng
- College of Life and Environmental Sciences, Hangzhou Normal University, Hangzhou, China
- Zhejiang Provincial Key Laboratory for Genetic Improvement and Quality Control of Medicinal Plants, Hangzhou Normal University, Hangzhou, China
| | - Shangguo Feng
- College of Life and Environmental Sciences, Hangzhou Normal University, Hangzhou, China
- Zhejiang Provincial Key Laboratory for Genetic Improvement and Quality Control of Medicinal Plants, Hangzhou Normal University, Hangzhou, China
| | - Chenjia Shen
- College of Life and Environmental Sciences, Hangzhou Normal University, Hangzhou, China
- Zhejiang Provincial Key Laboratory for Genetic Improvement and Quality Control of Medicinal Plants, Hangzhou Normal University, Hangzhou, China
| | - Huizhong Wang
- College of Life and Environmental Sciences, Hangzhou Normal University, Hangzhou, China
- Zhejiang Provincial Key Laboratory for Genetic Improvement and Quality Control of Medicinal Plants, Hangzhou Normal University, Hangzhou, China
- Huizhong Wang
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18
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Transcriptome Analysis of Two Species of Jute in Response to Polyethylene Glycol (PEG)- induced Drought Stress. Sci Rep 2017; 7:16565. [PMID: 29185475 PMCID: PMC5707433 DOI: 10.1038/s41598-017-16812-5] [Citation(s) in RCA: 23] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/29/2017] [Accepted: 11/16/2017] [Indexed: 11/08/2022] Open
Abstract
Drought stress results in significant crop yield losses. Comparative transcriptome analysis between tolerant and sensitive species can provide insights into drought tolerance mechanisms in jute. We present a comprehensive study on drought tolerance in two jute species-a drought tolerant species (Corchorus olitorius L., GF) and a drought sensitive species (Corchorus capsularis L., YY). In total, 45,831 non-redundant unigenes with average sequence length of 1421 bp were identified. Higher numbers of differentially expressed genes (DEGs) were discovered in YY (794) than in GF (39), implying that YY was relatively more vulnerable or hyper-responsive to drought stress at the molecular level; the two main pathways, phenylpropanoid biosynthesis and peroxisome pathway, significantly involved in scavenging of reactive oxygen species (ROS) and 14 unigenes in the two pathways presented a significant differential expression in response to increase of superoxide. Our classification analysis showed that 1769 transcription factors can be grouped into 81 families and 948 protein kinases (PKs) into 122 families. In YY, we identified 34 TF DEGs from and 23 PK DEGs, including 19 receptor-like kinases (RLKs). Most of these RLKs were downregulated during drought stress, implying their role as negative regulators of the drought tolerance mechanism in jute.
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