1
|
Zhang C, Li M, Rey JD, Feng T, Lafitte R, Zheng T, Lv Y, Wu F, Fu B, Xu J, Zhang F, Zeng W, Liu E, Ali J, Wang W, Li Z. Simultaneous improvement and genetic dissection of drought and submergence tolerances in rice ( Oryza sativa L.) by selective introgression. FRONTIERS IN PLANT SCIENCE 2023; 14:1134450. [PMID: 37180379 PMCID: PMC10172858 DOI: 10.3389/fpls.2023.1134450] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 12/30/2022] [Accepted: 03/27/2023] [Indexed: 05/16/2023]
Abstract
Introduction Drought and submergence are contrasting abiotic stresses that often occur in the same rice crop season and cause complete crop failure in many rain-fed lowland areas of Asia. Methods To develop rice varieties with good tolerances to drought and submergence, 260 introgression lines (ILs) selected for drought tolerance (DT) from nine BC2 populations were screened for submergence tolerance (ST), resulting in 124 ILs with significantly improved ST. Results Genetic characterization of the 260 ILs with DNA markers identified 59 DT quantitative trait loci (QTLs) and 68 ST QTLs with an average 55% of the identified QTLs associated with both DT and ST. Approximately 50% of the DT QTLs showed 'epigenetic' segregation with very high donor introgression and/or loss of heterozygosity (LOH). Detailed comparison of the ST QTLs identified in ILs selected only for ST with ST QTLs detected in the DT-ST selected ILs of the same populations revealed three groups of QTLs underlying the relationship between DT and ST in rice: a) QTLs with pleiotropic effects on both DT and ST; b) QTLs with opposite effects on DT and ST; and c) QTLs with independent effects on DT and ST. Combined evidence identified most likely candidate genes for eight major QTLs affecting both DT and ST. Moreover, group b QTLs were involved in the Sub1regulated pathway that were negatively associated with most group aQTLs. Discussion These results were consistent with the current knowledge that DT and ST in rice are controlled by complex cross-talks between or among different phytohormone-mediated signaling pathways. Again, the results demonstrated that the strategy of selective introgression was powerful and efficient for simultaneous improvement and genetic dissection of multiple complex traits, including DT and ST.
Collapse
Affiliation(s)
- Chaopu Zhang
- College of Agronomy, Anhui Agricultural University, Hefei, China
| | - Min Li
- College of Agronomy, Anhui Agricultural University, Hefei, China
| | - Jessica Domingo Rey
- International Rice Research Institute, Manila, Philippines
- Institute of Biology, College of Science, UP Diliman, Philippines
| | - Ting Feng
- College of Agronomy, Anhui Agricultural University, Hefei, China
| | - Renee Lafitte
- International Rice Research Institute, Manila, Philippines
| | - Tianqing Zheng
- Institute of Crop Sciences, Chinese Academy of Agricultural Sciences, Beijing, China
| | - Yamei Lv
- College of Agronomy, Anhui Agricultural University, Hefei, China
| | - Fengcai Wu
- College of Agronomy, Anhui Agricultural University, Hefei, China
| | - Binying Fu
- Institute of Crop Sciences, Chinese Academy of Agricultural Sciences, Beijing, China
| | - Jianlong Xu
- Institute of Crop Sciences, Chinese Academy of Agricultural Sciences, Beijing, China
| | - Fan Zhang
- Institute of Crop Sciences, Chinese Academy of Agricultural Sciences, Beijing, China
| | - Wei Zeng
- College of Agronomy, Anhui Agricultural University, Hefei, China
| | - Erbao Liu
- College of Agronomy, Anhui Agricultural University, Hefei, China
| | - Jauhar Ali
- International Rice Research Institute, Manila, Philippines
| | - Wensheng Wang
- Institute of Crop Sciences, Chinese Academy of Agricultural Sciences, Beijing, China
- Hainan Yazhou Bay Seed Lab/National Nanfan Research Institute (Sanya), Chinese Academy of Agricultural Sciences, Sanya, China
| | - Zhikang Li
- College of Agronomy, Anhui Agricultural University, Hefei, China
- Institute of Crop Sciences, Chinese Academy of Agricultural Sciences, Beijing, China
- Shenzhen Branch, Guangdong Laboratory for Lingnan Modern Agriculture, Genome Analysis Laboratory of the Ministry of Agriculture, Agricultural Genomics Institute at Shenzhen, Chinese Academy of Agricultural Sciences, Shenzhen, China
| |
Collapse
|
2
|
Wang X, Wang W, Tai S, Li M, Gao Q, Hu Z, Hu W, Wu Z, Zhu X, Xie J, Li F, Zhang Z, Zhi L, Zhang F, Ma X, Yang M, Xu J, Li Y, Zhang W, Yang X, Chen Y, Zhao Y, Fu B, Zhao X, Li J, Wang M, Yue Z, Fang X, Zeng W, Yin Y, Zhang G, Xu J, Zhang H, Li Z, Li Z. Selective and comparative genome architecture of Asian cultivated rice (Oryza sativa L.) attributed to domestication and modern breeding. J Adv Res 2022; 42:1-16. [PMID: 35988902 PMCID: PMC9788959 DOI: 10.1016/j.jare.2022.08.004] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/07/2022] [Revised: 07/28/2022] [Accepted: 08/07/2022] [Indexed: 12/27/2022] Open
Abstract
INTRODUCTION Rice, Oryza sativa L. (Os), is one of the oldest domesticated cereals that has also gone through extensive improvement in modern breeding. OBJECTIVES How rice was domesticated and impacted by modern breeding. METHODS We performed comprehensive analyses of genomic sequences of 504 accessions of Os and 456 accessions of O. rufipogon/O. nivara (Or). RESULTS The natural selection on Or before domestication and the natural and artificial selection during domestication together shaped the well-differentiated genomes of two subspecies, geng(j) (japonica) and xian(i) (indica), while breeding has made apparent genomic imprints between landrace and modern varieties of each subspecies, and also between primary modern and advanced modern varieties of xian(i). Selection during domestication and breeding left genome-wide selective signals covering ∼ 22.8 % and ∼ 8.6 % of the Os genome, significantly reduced within-population genomic diversity by ∼ 22 % in xian(i) and ∼ 53 % in geng(j) plus more pronounced subspecific differentiation. Only ∼ 10 % reduction in the total genomic diversity was observed between the Os and Or populations, indicating domestication did not suffer severe genetic bottleneck. CONCLUSION Our results revealed clear differentiation of the Or accessions into three large populations, two of which correspond to the well-differentiated Os subspecies, geng(j) and xian(i). Improved productivity and common changes in the same suit of adaptive traits in xian(i) and geng(j) during domestication and breeding resulted apparently from compensatory and convergent selections for different genes/alleles acting in the common KEGG terms and/or same gene families, and thus maintaining or even increasing the within population diversity and subspecific differentiation of Os, while more genes/alleles of novel function were selected during domestication than modern breeding. Our results supported the multiple independent domestication of Os in Asia and suggest the more efficient utilization of the rich diversity within Os by exploiting inter-subspecific and among population diversity in future rice improvement.
Collapse
Affiliation(s)
- Xueqiang Wang
- State Key Laboratory of Agrobiotechnology / Beijing Key Laboratory of Crop Genetic Improvement, China Agricultural University, Beijing 100193, China,Institute of Crop Science, Plant Precision Breeding Academy, Zhejiang Provincial Key Laboratory of Crop Genetic Resources, College of Agriculture and Biotechnology, Zhejiang University, Hangzhou, China
| | - Wensheng Wang
- Institute of Crop Sciences, Chinese Academy of Agricultural Sciences, Beijing 100081, China,The College of Agronomy, Anhui Agricultural University, Hefei, China
| | | | - Min Li
- The College of Agronomy, Anhui Agricultural University, Hefei, China
| | - Qiang Gao
- BGI Genomics, BGI-Shenzhen, Shenzhen 518083, China
| | - Zhiqiang Hu
- Institute of Crop Sciences, Chinese Academy of Agricultural Sciences, Beijing 100081, China
| | - Wushu Hu
- BGI Genomics, BGI-Shenzhen, Shenzhen 518083, China
| | - Zhichao Wu
- Institute of Crop Sciences, Chinese Academy of Agricultural Sciences, Beijing 100081, China
| | - Xiaoyang Zhu
- State Key Laboratory of Agrobiotechnology / Beijing Key Laboratory of Crop Genetic Improvement, China Agricultural University, Beijing 100193, China
| | - Jianyin Xie
- State Key Laboratory of Agrobiotechnology / Beijing Key Laboratory of Crop Genetic Improvement, China Agricultural University, Beijing 100193, China
| | - Fengmei Li
- State Key Laboratory of Agrobiotechnology / Beijing Key Laboratory of Crop Genetic Improvement, China Agricultural University, Beijing 100193, China
| | - Zhifang Zhang
- State Key Laboratory of Agrobiotechnology / Beijing Key Laboratory of Crop Genetic Improvement, China Agricultural University, Beijing 100193, China
| | - Linran Zhi
- State Key Laboratory of Agrobiotechnology / Beijing Key Laboratory of Crop Genetic Improvement, China Agricultural University, Beijing 100193, China
| | - Fan Zhang
- Institute of Crop Sciences, Chinese Academy of Agricultural Sciences, Beijing 100081, China,The College of Agronomy, Anhui Agricultural University, Hefei, China
| | - Xiaoqian Ma
- State Key Laboratory of Agrobiotechnology / Beijing Key Laboratory of Crop Genetic Improvement, China Agricultural University, Beijing 100193, China
| | - Ming Yang
- BGI Genomics, BGI-Shenzhen, Shenzhen 518083, China
| | - Jiabao Xu
- BGI Genomics, BGI-Shenzhen, Shenzhen 518083, China
| | - Yanhong Li
- BGI Genomics, BGI-Shenzhen, Shenzhen 518083, China
| | - Wenzhuo Zhang
- State Key Laboratory of Agrobiotechnology / Beijing Key Laboratory of Crop Genetic Improvement, China Agricultural University, Beijing 100193, China
| | - Xiyu Yang
- State Key Laboratory of Agrobiotechnology / Beijing Key Laboratory of Crop Genetic Improvement, China Agricultural University, Beijing 100193, China
| | - Ying Chen
- College of Information and Electrical Engineering, China Agricultural University, Beijing 100193, China
| | - Yan Zhao
- State Key Laboratory of Agrobiotechnology / Beijing Key Laboratory of Crop Genetic Improvement, China Agricultural University, Beijing 100193, China
| | - Binying Fu
- Institute of Crop Sciences, Chinese Academy of Agricultural Sciences, Beijing 100081, China
| | - Xiuqin Zhao
- Institute of Crop Sciences, Chinese Academy of Agricultural Sciences, Beijing 100081, China
| | - Jinjie Li
- State Key Laboratory of Agrobiotechnology / Beijing Key Laboratory of Crop Genetic Improvement, China Agricultural University, Beijing 100193, China
| | - Miao Wang
- BGI Genomics, BGI-Shenzhen, Shenzhen 518083, China
| | - Zhen Yue
- BGI Genomics, BGI-Shenzhen, Shenzhen 518083, China
| | | | - Wei Zeng
- The College of Agronomy, Anhui Agricultural University, Hefei, China
| | - Ye Yin
- BGI Genomics, BGI-Shenzhen, Shenzhen 518083, China
| | - Gengyun Zhang
- BGI Genomics, BGI-Shenzhen, Shenzhen 518083, China,State Key Laboratory of Agricultural Genomics, BGI-Shenzhen, Shenzhen 518083, China
| | - Jianlong Xu
- Institute of Crop Sciences, Chinese Academy of Agricultural Sciences, Beijing 100081, China,Shenzhen Branch, Guangdong Laboratory for Lingnan Modern Agriculture, Genome Analysis Laboratory of the Ministry of Agriculture, Agricultural Genomics Institute at Shenzhen, Chinese Academy of Agricultural Sciences, Shenzhen, China
| | - Hongliang Zhang
- State Key Laboratory of Agrobiotechnology / Beijing Key Laboratory of Crop Genetic Improvement, China Agricultural University, Beijing 100193, China,Corresponding authors at: Institute of Crop Sciences, Chinese Academy of Agricultural Sciences, Beijing 100081, China (Z. Li).
| | - Zichao Li
- State Key Laboratory of Agrobiotechnology / Beijing Key Laboratory of Crop Genetic Improvement, China Agricultural University, Beijing 100193, China,Corresponding authors at: Institute of Crop Sciences, Chinese Academy of Agricultural Sciences, Beijing 100081, China (Z. Li).
| | - Zhikang Li
- Institute of Crop Sciences, Chinese Academy of Agricultural Sciences, Beijing 100081, China,The College of Agronomy, Anhui Agricultural University, Hefei, China,Shenzhen Branch, Guangdong Laboratory for Lingnan Modern Agriculture, Genome Analysis Laboratory of the Ministry of Agriculture, Agricultural Genomics Institute at Shenzhen, Chinese Academy of Agricultural Sciences, Shenzhen, China,Corresponding authors at: Institute of Crop Sciences, Chinese Academy of Agricultural Sciences, Beijing 100081, China (Z. Li).
| |
Collapse
|
3
|
Wang L, Huang Y, Liu Z, He J, Jiang X, He F, Lu Z, Yang S, Chen P, Yu H, Zeng B, Ke L, Xie Z, Larkin RM, Jiang D, Ming R, Buckler ES, Deng X, Xu Q. Somatic variations led to the selection of acidic and acidless orange cultivars. NATURE PLANTS 2021; 7:954-965. [PMID: 34140668 DOI: 10.1038/s41477-021-00941-x] [Citation(s) in RCA: 32] [Impact Index Per Article: 10.7] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 01/25/2020] [Accepted: 05/11/2021] [Indexed: 06/12/2023]
Abstract
Somatic variations are a major source of genetic diversification in asexual plants, and underpin clonal evolution and the breeding of asexual crops. Sweet orange is a model species for studying somatic variation because it reproduces asexually through apomixis and is propagated asexually through grafting. To dissect the genomic basis of somatic variation, we de novo assembled a reference genome of sweet orange with an average of three gaps per chromosome and a N50 contig of 24.2 Mb, as well as six diploid genomes of somatic mutants of sweet oranges. We then sequenced 114 somatic mutants with an average genome coverage of 41×. Categorization of the somatic variations yielded insights into the single-nucleotide somatic mutations, structural variations and transposable element (TE) transpositions. We detected 877 TE insertions, and found TE insertions in the transporter or its regulatory genes associated with variation in fruit acidity. Comparative genomic analysis of sweet oranges from three diversity centres supported a dispersal from South China to the Mediterranean region and to the Americas. This study provides a global view on the somatic variations, the diversification and dispersal history of sweet orange and a set of candidate genes that will be useful for improving fruit taste and flavour.
Collapse
Affiliation(s)
- Lun Wang
- Key Laboratory of Horticultural Plant Biology (Ministry of Education), Huazhong Agricultural University, Wuhan, P. R. China
- Hubei Hongshan Laboratory, Wuhan, China
| | - Yue Huang
- Key Laboratory of Horticultural Plant Biology (Ministry of Education), Huazhong Agricultural University, Wuhan, P. R. China
- Hubei Hongshan Laboratory, Wuhan, China
| | - ZiAng Liu
- Key Laboratory of Horticultural Plant Biology (Ministry of Education), Huazhong Agricultural University, Wuhan, P. R. China
- Hubei Hongshan Laboratory, Wuhan, China
| | - Jiaxian He
- Key Laboratory of Horticultural Plant Biology (Ministry of Education), Huazhong Agricultural University, Wuhan, P. R. China
- Hubei Hongshan Laboratory, Wuhan, China
| | - Xiaolin Jiang
- Key Laboratory of Horticultural Plant Biology (Ministry of Education), Huazhong Agricultural University, Wuhan, P. R. China
| | - Fa He
- Key Laboratory of Horticultural Plant Biology (Ministry of Education), Huazhong Agricultural University, Wuhan, P. R. China
| | - Zhihao Lu
- Key Laboratory of Horticultural Plant Biology (Ministry of Education), Huazhong Agricultural University, Wuhan, P. R. China
- Hubei Hongshan Laboratory, Wuhan, China
| | - Shuizhi Yang
- Horticulture Institute, Hunan Academy of Agricultural Sciences, Changsha, P. R. China
| | - Peng Chen
- Horticulture Institute, Hunan Academy of Agricultural Sciences, Changsha, P. R. China
| | - Huiwen Yu
- Key Laboratory of Horticultural Plant Biology (Ministry of Education), Huazhong Agricultural University, Wuhan, P. R. China
| | - Bin Zeng
- Horticulture Institute, Hunan Academy of Agricultural Sciences, Changsha, P. R. China
| | - Lingjun Ke
- Key Laboratory of Horticultural Plant Biology (Ministry of Education), Huazhong Agricultural University, Wuhan, P. R. China
| | - Zongzhou Xie
- Key Laboratory of Horticultural Plant Biology (Ministry of Education), Huazhong Agricultural University, Wuhan, P. R. China
| | - Robert M Larkin
- Key Laboratory of Horticultural Plant Biology (Ministry of Education), Huazhong Agricultural University, Wuhan, P. R. China
| | - Dong Jiang
- Citrus Research Institute, Southwest University, Chongqing, P. R. China
| | - Ray Ming
- Department of Plant Biology, University of Illinois at Urbana-Champaign, Urbana, IL, USA
| | - Edward S Buckler
- Agricultural Research Service, United States Department of Agriculture, Ithaca, NY, USA
- Institute for Genomic Diversity, Cornell University, Ithaca, NY, USA
| | - Xiuxin Deng
- Key Laboratory of Horticultural Plant Biology (Ministry of Education), Huazhong Agricultural University, Wuhan, P. R. China
- Hubei Hongshan Laboratory, Wuhan, China
| | - Qiang Xu
- Key Laboratory of Horticultural Plant Biology (Ministry of Education), Huazhong Agricultural University, Wuhan, P. R. China.
- Hubei Hongshan Laboratory, Wuhan, China.
| |
Collapse
|
5
|
Pang Y, Chen K, Wang X, Wang W, Xu J, Ali J, Li Z. Simultaneous Improvement and Genetic Dissection of Salt Tolerance of Rice ( Oryza sativa L.) by Designed QTL Pyramiding. FRONTIERS IN PLANT SCIENCE 2017; 8:1275. [PMID: 28775730 PMCID: PMC5517400 DOI: 10.3389/fpls.2017.01275] [Citation(s) in RCA: 16] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 04/14/2017] [Accepted: 07/06/2017] [Indexed: 05/24/2023]
Abstract
Breeding of multi-stress tolerant rice varieties with higher grain yields is the best option to enhance the rice productivity of abiotic stresses prone areas. It also poses the greatest challenge to plant breeders to breed rice varieties for such stress prone conditions. Here, we carried out a designed QTL pyramiding experiment to develop high yielding "Green Super Rice" varieties with significantly improved tolerance to salt stress and grain yield. Using the F4 population derived from a cross between two selected introgression lines, we were able to develop six mostly homozygous promising high yielding lines with significantly improved salt tolerance and grain yield under optimal and/or saline conditions in 3 years. Simultaneous mapping using the same breeding population and tunable genotyping-by-sequencing technology, we identified three QTL affecting salt injury score and leaf chlorophyll content. By analyzing 32M SNP data of the grandparents and graphical genotypes of the parents, we discovered 87 positional candidate genes for salt tolerant QTL. According to their functional annotation, we inferred the most likely candidate genes. We demonstrated that designed QTL pyramiding is a powerful strategy for simultaneous improvement and genetic dissection of complex traits in rice.
Collapse
Affiliation(s)
- Yunlong Pang
- Institute of Crop Sciences, National Key Facility for Crop Gene Resources and Genetic Improvement, Chinese Academy of Agricultural SciencesBeijing, China
- International Rice Research InstituteMetro Manila, Philippines
| | - Kai Chen
- Agricultural Genomics Institute, Chinese Academy of Agricultural SciencesShenzhen, China
| | - Xiaoqian Wang
- Institute of Crop Sciences, National Key Facility for Crop Gene Resources and Genetic Improvement, Chinese Academy of Agricultural SciencesBeijing, China
- International Rice Research InstituteMetro Manila, Philippines
| | - Wensheng Wang
- Institute of Crop Sciences, National Key Facility for Crop Gene Resources and Genetic Improvement, Chinese Academy of Agricultural SciencesBeijing, China
| | - Jianlong Xu
- Institute of Crop Sciences, National Key Facility for Crop Gene Resources and Genetic Improvement, Chinese Academy of Agricultural SciencesBeijing, China
- Agricultural Genomics Institute, Chinese Academy of Agricultural SciencesShenzhen, China
- Shenzhen Institute of Breeding and Innovation, Chinese Academy of Agricultural SciencesShenzhen, China
| | - Jauhar Ali
- International Rice Research InstituteMetro Manila, Philippines
| | - Zhikang Li
- Institute of Crop Sciences, National Key Facility for Crop Gene Resources and Genetic Improvement, Chinese Academy of Agricultural SciencesBeijing, China
- Shenzhen Institute of Breeding and Innovation, Chinese Academy of Agricultural SciencesShenzhen, China
| |
Collapse
|