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Dong T, Su J, Li H, Du Y, Wang Y, Chen P, Duan H. Genome-Wide Identification of the WRKY Gene Family in Four Cotton Varieties and the Positive Role of GhWRKY31 in Response to Salt and Drought Stress. PLANTS (BASEL, SWITZERLAND) 2024; 13:1814. [PMID: 38999654 PMCID: PMC11243856 DOI: 10.3390/plants13131814] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 06/11/2024] [Revised: 06/20/2024] [Accepted: 06/21/2024] [Indexed: 07/14/2024]
Abstract
The WRKY gene family is ubiquitously distributed in plants, serving crucial functions in stress responses. Nevertheless, the structural organization and evolutionary dynamics of WRKY genes in cotton have not been fully elucidated. In this study, a total of 112, 119, 217, and 222 WRKY genes were identified in Gossypium arboreum, Gossypium raimondii, Gossypium hirsutum, and Gossypium barbadense, respectively. These 670 WRKY genes were categorized into seven distinct subgroups and unequally distributed across chromosomes. Examination of conserved motifs, domains, cis-acting elements, and gene architecture collectively highlighted the evolutionary conservation and divergence within the WRKY gene family in cotton. Analysis of synteny and collinearity further confirmed instances of expansion, duplication, and loss events among WRKY genes during cotton evolution. Furthermore, GhWRKY31 transgenic Arabidopsis exhibited heightened germination rates and longer root lengths under drought and salt stress. Silencing GhWRKY31 in cotton led to reduced levels of ABA, proline, POD, and SOD, along with downregulated expression of stress-responsive genes. Yeast one-hybrid and molecular docking assays confirmed the binding capacity of GhWRKY31 to the W box of GhABF1, GhDREB2, and GhRD29. The findings collectively offer a systematic and comprehensive insight into the evolutionary patterns of cotton WRKYs, proposing a suitable regulatory framework for developing cotton cultivars with enhanced resilience to drought and salinity stress.
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Affiliation(s)
- Tianyu Dong
- College of Life Sciences, Henan Normal University, Xinxiang 453007, China
- Henan International Joint Laboratory of Aquatic Toxicology and Health Protection, College of Life Science, Henan Normal University, Xinxiang 453007, China
| | - Jiuchang Su
- College of Life Sciences, Henan Normal University, Xinxiang 453007, China
- Henan International Joint Laboratory of Aquatic Toxicology and Health Protection, College of Life Science, Henan Normal University, Xinxiang 453007, China
| | - Haoyuan Li
- College of Life Sciences, Henan Normal University, Xinxiang 453007, China
| | - Yajie Du
- College of Life Sciences, Henan Normal University, Xinxiang 453007, China
| | - Ying Wang
- College of Life Sciences, Henan Normal University, Xinxiang 453007, China
| | - Peilei Chen
- College of Life Sciences, Henan Normal University, Xinxiang 453007, China
- Henan International Joint Laboratory of Aquatic Toxicology and Health Protection, College of Life Science, Henan Normal University, Xinxiang 453007, China
| | - Hongying Duan
- College of Life Sciences, Henan Normal University, Xinxiang 453007, China
- Henan International Joint Laboratory of Aquatic Toxicology and Health Protection, College of Life Science, Henan Normal University, Xinxiang 453007, China
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2
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Nishimura K, Kokaji H, Motoki K, Yamazaki A, Nagasaka K, Mori T, Takisawa R, Yasui Y, Kawai T, Ushijima K, Yamasaki M, Saito H, Nakano R, Nakazaki T. Degenerate oligonucleotide primer MIG-seq: an effective PCR-based method for high-throughput genotyping. THE PLANT JOURNAL : FOR CELL AND MOLECULAR BIOLOGY 2024; 118:2296-2317. [PMID: 38459738 DOI: 10.1111/tpj.16708] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 09/20/2023] [Revised: 01/14/2024] [Accepted: 02/14/2024] [Indexed: 03/10/2024]
Abstract
Next-generation sequencing (NGS) library construction often involves using restriction enzymes to decrease genome complexity, enabling versatile polymorphism detection in plants. However, plant leaves frequently contain impurities, such as polyphenols, necessitating DNA purification before enzymatic reactions. To overcome this problem, we developed a PCR-based method for expeditious NGS library preparation, offering flexibility in number of detected polymorphisms. By substituting a segment of the simple sequence repeat sequence in the MIG-seq primer set (MIG-seq being a PCR method enabling library construction with low-quality DNA) with degenerate oligonucleotides, we introduced variability in detectable polymorphisms across various crops. This innovation, named degenerate oligonucleotide primer MIG-seq (dpMIG-seq), enabled a streamlined protocol for constructing dpMIG-seq libraries from unpurified DNA, which was implemented stably in several crop species, including fruit trees. Furthermore, dpMIG-seq facilitated efficient lineage selection in wheat and enabled linkage map construction and quantitative trait loci analysis in tomato, rice, and soybean without necessitating DNA concentration adjustments. These findings underscore the potential of the dpMIG-seq protocol for advancing genetic analyses across diverse plant species.
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Affiliation(s)
- Kazusa Nishimura
- Graduate School of Agriculture, Kyoto University, 4-2-1, Shiroyamadai, Kizugawa City, Kyoto, 619-0218, Japan
- Graduate School of Environmental, Life, Natural Science and Technology, Okayama University, 1-1-1 Tsushima-naka, Kita-ku, Okayama City, 700-8530, Okayama, Japan
| | - Hiroyuki Kokaji
- Graduate School of Agriculture, Kyoto University, 4-2-1, Shiroyamadai, Kizugawa City, Kyoto, 619-0218, Japan
| | - Ko Motoki
- Graduate School of Agriculture, Kyoto University, 4-2-1, Shiroyamadai, Kizugawa City, Kyoto, 619-0218, Japan
- Graduate School of Environmental, Life, Natural Science and Technology, Okayama University, 1-1-1 Tsushima-naka, Kita-ku, Okayama City, 700-8530, Okayama, Japan
| | - Akira Yamazaki
- Faculty of Agriculture, Kindai University, 3327-204, Nakamachi, Nara City, Nara, 631-8505, Japan
| | - Kyoka Nagasaka
- Graduate School of Agriculture, Kyoto University, 4-2-1, Shiroyamadai, Kizugawa City, Kyoto, 619-0218, Japan
| | - Takashi Mori
- Graduate School of Agriculture, Kyoto University, 4-2-1, Shiroyamadai, Kizugawa City, Kyoto, 619-0218, Japan
| | - Rihito Takisawa
- Faculty of Agriculture, Ryukoku University, 1-5 Yokotani, Seta Oe-cho, Otsu City, Shiga, 520-2194, Japan
| | - Yasuo Yasui
- Graduate School of Agriculture, Kyoto University, 4-2-1, Shiroyamadai, Kizugawa City, Kyoto, 619-0218, Japan
| | - Takashi Kawai
- Graduate School of Environmental, Life, Natural Science and Technology, Okayama University, 1-1-1 Tsushima-naka, Kita-ku, Okayama City, 700-8530, Okayama, Japan
| | - Koichiro Ushijima
- Graduate School of Environmental, Life, Natural Science and Technology, Okayama University, 1-1-1 Tsushima-naka, Kita-ku, Okayama City, 700-8530, Okayama, Japan
| | - Masanori Yamasaki
- Graduate School of Science and Technology, Niigata University, 8050 Ikarashi 2 no-cho, Nishi-ku, Niigata City, Niigata, 950-2181, Japan
| | - Hiroki Saito
- Tropical Agriculture Research Front, Japan International Research Center for Agricultural Sciences, 1091-1 Maezato-Kawarabaru, Ishigaki, Okinawa, 907-0002, Japan
| | - Ryohei Nakano
- Graduate School of Agriculture, Kyoto University, 4-2-1, Shiroyamadai, Kizugawa City, Kyoto, 619-0218, Japan
| | - Tetsuya Nakazaki
- Graduate School of Agriculture, Kyoto University, 4-2-1, Shiroyamadai, Kizugawa City, Kyoto, 619-0218, Japan
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3
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Zhou X, Qiang C, Chen L, Qing D, Huang J, Li J, Pan Y. The Landscape of Presence/Absence Variations during the Improvement of Rice. Genes (Basel) 2024; 15:645. [PMID: 38790274 PMCID: PMC11120952 DOI: 10.3390/genes15050645] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/26/2024] [Revised: 05/15/2024] [Accepted: 05/17/2024] [Indexed: 05/26/2024] Open
Abstract
Rice is one of the most important staple crops in the world; therefore, the improvement of rice holds great significance for enhancing agricultural production and addressing food security challenges. Although there have been numerous studies on the role of single-nucleotide polymorphisms (SNPs) in rice improvement with the development of next-generation sequencing technologies, research on the role of presence/absence variations (PAVs) in the improvement of rice is limited. In particular, there is a scarcity of studies exploring the traits and genes that may be affected by PAVs in rice. Here, we extracted PAVs utilizing resequencing data from 148 improved rice varieties distributed in Asia. We detected a total of 33,220 PAVs and found that the number of variations decreased gradually as the length of the PAVs increased. The number of PAVs was the highest on chromosome 1. Furthermore, we identified a 6 Mb hotspot region on chromosome 11 containing 1091 PAVs in which there were 29 genes related to defense responses. By conducting a genome-wide association study (GWAS) using PAV variation data and phenotypic data for five traits (flowering time, plant height, flag leaf length, flag leaf width, and panicle number) across all materials, we identified 186 significantly associated PAVs involving 20 cloned genes. A haplotype analysis and expression analysis of candidate genes revealed that important genes might be affected by PAVs, such as the flowering time gene OsSFL1 and the flag leaf width gene NAL1. Our work investigated the pattern in PAVs and explored important PAV key functional genes associated with agronomic traits. Consequently, these results provide potential and exploitable genetic resources for rice breeding.
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Affiliation(s)
- Xia Zhou
- Urban Construction School, Beijing City University, Beijing 101300, China;
| | - Chenggen Qiang
- State Key Laboratory of Systematic and Evolutionary Botany, Institute of Botany, Chinese Academy of Sciences, Beijing 100093, China;
| | - Lei Chen
- Guangxi Key Laboratory of Rice Genetics and Breeding, Rice Research Institute, Guangxi Academy of Agricultural Sciences, Nanning 530007, China; (L.C.); (D.Q.); (J.H.)
| | - Dongjin Qing
- Guangxi Key Laboratory of Rice Genetics and Breeding, Rice Research Institute, Guangxi Academy of Agricultural Sciences, Nanning 530007, China; (L.C.); (D.Q.); (J.H.)
| | - Juan Huang
- Guangxi Key Laboratory of Rice Genetics and Breeding, Rice Research Institute, Guangxi Academy of Agricultural Sciences, Nanning 530007, China; (L.C.); (D.Q.); (J.H.)
| | - Jilong Li
- State Key Laboratory of Systematic and Evolutionary Botany, Institute of Botany, Chinese Academy of Sciences, Beijing 100093, China;
| | - Yinghua Pan
- Guangxi Key Laboratory of Rice Genetics and Breeding, Rice Research Institute, Guangxi Academy of Agricultural Sciences, Nanning 530007, China; (L.C.); (D.Q.); (J.H.)
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4
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Yang X, Yu S, Yan S, Wang H, Fang W, Chen Y, Ma X, Han L. Progress in Rice Breeding Based on Genomic Research. Genes (Basel) 2024; 15:564. [PMID: 38790193 PMCID: PMC11121554 DOI: 10.3390/genes15050564] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/21/2024] [Revised: 04/18/2024] [Accepted: 04/25/2024] [Indexed: 05/26/2024] Open
Abstract
The role of rice genomics in breeding progress is becoming increasingly important. Deeper research into the rice genome will contribute to the identification and utilization of outstanding functional genes, enriching the diversity and genetic basis of breeding materials and meeting the diverse demands for various improvements. Here, we review the significant contributions of rice genomics research to breeding progress over the last 25 years, discussing the profound impact of genomics on rice genome sequencing, functional gene exploration, and novel breeding methods, and we provide valuable insights for future research and breeding practices.
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Affiliation(s)
- Xingye Yang
- State Key Laboratory of Crop Gene Resources and Breeding, Institute of Crop Sciences, Chinese Academy of Agricultural Sciences, Beijing 100081, China; (X.Y.); (S.Y.); (H.W.); (W.F.); (Y.C.)
| | - Shicong Yu
- State Key Laboratory of Crop Gene Exploration and Utilization in Southwest China, Rice Research Institute, Sichuan Agricultural University, Chengdu 611130, China;
| | - Shen Yan
- State Key Laboratory of Crop Gene Resources and Breeding, Institute of Crop Sciences, Chinese Academy of Agricultural Sciences, Beijing 100081, China; (X.Y.); (S.Y.); (H.W.); (W.F.); (Y.C.)
| | - Hao Wang
- State Key Laboratory of Crop Gene Resources and Breeding, Institute of Crop Sciences, Chinese Academy of Agricultural Sciences, Beijing 100081, China; (X.Y.); (S.Y.); (H.W.); (W.F.); (Y.C.)
| | - Wei Fang
- State Key Laboratory of Crop Gene Resources and Breeding, Institute of Crop Sciences, Chinese Academy of Agricultural Sciences, Beijing 100081, China; (X.Y.); (S.Y.); (H.W.); (W.F.); (Y.C.)
| | - Yanqing Chen
- State Key Laboratory of Crop Gene Resources and Breeding, Institute of Crop Sciences, Chinese Academy of Agricultural Sciences, Beijing 100081, China; (X.Y.); (S.Y.); (H.W.); (W.F.); (Y.C.)
| | - Xiaoding Ma
- State Key Laboratory of Crop Gene Resources and Breeding, Institute of Crop Sciences, Chinese Academy of Agricultural Sciences, Beijing 100081, China; (X.Y.); (S.Y.); (H.W.); (W.F.); (Y.C.)
| | - Longzhi Han
- National Crop Genebank, Institute of Crop Science, Chinese Academy of Agricultural Sciences, Beijing 100081, China
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5
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Gou Y, Heng Y, Ding W, Xu C, Tan Q, Li Y, Fang Y, Li X, Zhou D, Zhu X, Zhang M, Ye R, Wang H, Shen R. Natural variation in OsMYB8 confers diurnal floret opening time divergence between indica and japonica subspecies. Nat Commun 2024; 15:2262. [PMID: 38480732 PMCID: PMC10937712 DOI: 10.1038/s41467-024-46579-z] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/26/2023] [Accepted: 03/01/2024] [Indexed: 03/17/2024] Open
Abstract
The inter-subspecific indica-japonica hybrid rice confer potential higher yield than the widely used indica-indica intra-subspecific hybrid rice. Nevertheless, the utilization of this strong heterosis is currently hindered by asynchronous diurnal floret opening time (DFOT) of indica and japonica parental lines. Here, we identify OsMYB8 as a key regulator of rice DFOT. OsMYB8 induces the transcription of JA-Ile synthetase OsJAR1, thereby regulating the expression of genes related to cell osmolality and cell wall remodeling in lodicules to promote floret opening. Natural variations of OsMYB8 promoter contribute to its differential expression, thus differential transcription of OsJAR1 and accumulation of JA-Ile in lodicules of indica and japonica subspecies. Furthermore, introgression of the indica haplotype of OsMYB8 into japonica effectively promotes DFOT in japonica. Our findings reveal an OsMYB8-OsJAR1 module that regulates differential DFOT in indica and japonica, and provide a strategy for breeding early DFOT japonica to facilitate breeding of indica-japonica hybrids.
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Affiliation(s)
- Yajun Gou
- State Key Laboratory for Conservation and Utilization of Subtropical Agro-Bioresources, Guangdong Laboratory for Lingnan Modern Agriculture, South China Agricultural University, Guangzhou, 510642, China
| | - Yueqin Heng
- State Key Laboratory for Conservation and Utilization of Subtropical Agro-Bioresources, Guangdong Laboratory for Lingnan Modern Agriculture, South China Agricultural University, Guangzhou, 510642, China
| | - Wenyan Ding
- State Key Laboratory for Conservation and Utilization of Subtropical Agro-Bioresources, Guangdong Laboratory for Lingnan Modern Agriculture, South China Agricultural University, Guangzhou, 510642, China
| | - Canhong Xu
- State Key Laboratory for Conservation and Utilization of Subtropical Agro-Bioresources, Guangdong Laboratory for Lingnan Modern Agriculture, South China Agricultural University, Guangzhou, 510642, China
| | - Qiushuang Tan
- State Key Laboratory for Conservation and Utilization of Subtropical Agro-Bioresources, Guangdong Laboratory for Lingnan Modern Agriculture, South China Agricultural University, Guangzhou, 510642, China
| | - Yajing Li
- State Key Laboratory for Conservation and Utilization of Subtropical Agro-Bioresources, Guangdong Laboratory for Lingnan Modern Agriculture, South China Agricultural University, Guangzhou, 510642, China
| | - Yudong Fang
- State Key Laboratory for Conservation and Utilization of Subtropical Agro-Bioresources, Guangdong Laboratory for Lingnan Modern Agriculture, South China Agricultural University, Guangzhou, 510642, China
| | - Xiaoqing Li
- State Key Laboratory for Conservation and Utilization of Subtropical Agro-Bioresources, Guangdong Laboratory for Lingnan Modern Agriculture, South China Agricultural University, Guangzhou, 510642, China
| | - Degui Zhou
- Guangdong Key Laboratory of New Technology in Rice Breeding, Rice Research Institute, Guangdong Academy of Agricultural Sciences, Guangzhou, 510640, China
| | - Xinyu Zhu
- State Key Laboratory for Conservation and Utilization of Subtropical Agro-Bioresources, Guangdong Laboratory for Lingnan Modern Agriculture, South China Agricultural University, Guangzhou, 510642, China
| | - Mingyue Zhang
- State Key Laboratory for Conservation and Utilization of Subtropical Agro-Bioresources, Guangdong Laboratory for Lingnan Modern Agriculture, South China Agricultural University, Guangzhou, 510642, China
| | - Rongjian Ye
- Life Science and Technology Center, China National Seed Group Co., LTD, Wuhan, 430073, China
| | - Haiyang Wang
- State Key Laboratory for Conservation and Utilization of Subtropical Agro-Bioresources, Guangdong Laboratory for Lingnan Modern Agriculture, South China Agricultural University, Guangzhou, 510642, China.
| | - Rongxin Shen
- State Key Laboratory for Conservation and Utilization of Subtropical Agro-Bioresources, Guangdong Laboratory for Lingnan Modern Agriculture, South China Agricultural University, Guangzhou, 510642, China.
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6
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Liu W, He G, Deng XW. Toward understanding and utilizing crop heterosis in the age of biotechnology. iScience 2024; 27:108901. [PMID: 38533455 PMCID: PMC10964264 DOI: 10.1016/j.isci.2024.108901] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 03/28/2024] Open
Abstract
Heterosis, a universal phenomenon in nature, mainly reflected in the superior productivity, quality, and fitness of F1 hybrids compared with their inbred parents, has been exploited in agriculture and greatly benefited human society in terms of food security. However, the flexible and efficient utilization of heterosis has remained a challenge in hybrid breeding systems because of the limitations of "three-line" and "two-line" methods. In the past two decades, rapidly developed biotechnologies have provided unprecedented conveniences for both understanding and utilizing heterosis. Notably, "third-generation" (3G) hybrid breeding technology together with high-throughput sequencing and gene editing greatly promoted the efficiency of hybrid breeding. Here, we review emerging ideas about the genetic or molecular mechanisms of heterosis and the development of 3G hybrid breeding system in the age of biotechnology. In addition, we summarized opportunities and challenges for optimal heterosis utilization in the future.
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Affiliation(s)
- Wenwen Liu
- School of Advanced Agricultural Sciences and School of Life Sciences, State Key Laboratory of Protein and Plant Gene Research, Peking-Tsinghua Center for Life Sciences, Peking University, Beijing 100871, China
- National Key Laboratory of Wheat Improvement, Peking University Institute of Advanced Agricultural Sciences, Shandong Laboratory of Advanced Agricultural Sciences in Weifang, Weifang, Shandong 261325, China
| | - Guangming He
- School of Advanced Agricultural Sciences and School of Life Sciences, State Key Laboratory of Protein and Plant Gene Research, Peking-Tsinghua Center for Life Sciences, Peking University, Beijing 100871, China
| | - Xing Wang Deng
- School of Advanced Agricultural Sciences and School of Life Sciences, State Key Laboratory of Protein and Plant Gene Research, Peking-Tsinghua Center for Life Sciences, Peking University, Beijing 100871, China
- National Key Laboratory of Wheat Improvement, Peking University Institute of Advanced Agricultural Sciences, Shandong Laboratory of Advanced Agricultural Sciences in Weifang, Weifang, Shandong 261325, China
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7
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Chen J, Tan C, Zhu M, Zhang C, Wang Z, Ni X, Liu Y, Wei T, Wei X, Fang X, Xu Y, Huang X, Qiu J, Liu H. CropGS-Hub: a comprehensive database of genotype and phenotype resources for genomic prediction in major crops. Nucleic Acids Res 2024; 52:D1519-D1529. [PMID: 38000385 PMCID: PMC10767954 DOI: 10.1093/nar/gkad1062] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/07/2023] [Revised: 10/15/2023] [Accepted: 10/25/2023] [Indexed: 11/26/2023] Open
Abstract
The explosive amount of multi-omics data has brought a paradigm shift both in academic research and further application in life science. However, managing and reusing the growing resources of genomic and phenotype data points presents considerable challenges for the research community. There is an urgent need for an integrated database that combines genome-wide association studies (GWAS) with genomic selection (GS). Here, we present CropGS-Hub, a comprehensive database comprising genotype, phenotype, and GWAS signals, as well as a one-stop platform with built-in algorithms for genomic prediction and crossing design. This database encompasses a comprehensive collection of over 224 billion genotype data and 434 thousand phenotype data generated from >30 000 individuals in 14 representative populations belonging to 7 major crop species. Moreover, the platform implemented three complete functional genomic selection related modules including phenotype prediction, user model training and crossing design, as well as a fast SNP genotyper plugin-in called SNPGT specifically built for CropGS-Hub, aiming to assist crop scientists and breeders without necessitating coding skills. CropGS-Hub can be accessed at https://iagr.genomics.cn/CropGS/.
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Affiliation(s)
- Jiaxin Chen
- Shanghai Key Laboratory of Plant Molecular Sciences, Shanghai Collaborative Innovation Center of Plant Germplasm Resources, College of Life Sciences, Shanghai Normal University, Shanghai, China
| | - Cong Tan
- State Key Laboratory of Agricultural Genomics, Key Laboratory of Genomics, Ministry of Agriculture, BGI Research, Shenzhen 518083, China
- BGI Research, Wuhan 430074, China
| | - Min Zhu
- Shanghai Key Laboratory of Plant Molecular Sciences, Shanghai Collaborative Innovation Center of Plant Germplasm Resources, College of Life Sciences, Shanghai Normal University, Shanghai, China
| | - Chenyang Zhang
- State Key Laboratory of Agricultural Genomics, Key Laboratory of Genomics, Ministry of Agriculture, BGI Research, Shenzhen 518083, China
- BGI Bioverse, Shenzhen 518083, China
| | - Zhihan Wang
- Shanghai Key Laboratory of Plant Molecular Sciences, Shanghai Collaborative Innovation Center of Plant Germplasm Resources, College of Life Sciences, Shanghai Normal University, Shanghai, China
| | - Xuemei Ni
- State Key Laboratory of Agricultural Genomics, Key Laboratory of Genomics, Ministry of Agriculture, BGI Research, Shenzhen 518083, China
- BGI Bioverse, Shenzhen 518083, China
| | - Yanlin Liu
- Shanghai Key Laboratory of Plant Molecular Sciences, Shanghai Collaborative Innovation Center of Plant Germplasm Resources, College of Life Sciences, Shanghai Normal University, Shanghai, China
| | - Tong Wei
- State Key Laboratory of Agricultural Genomics, Key Laboratory of Genomics, Ministry of Agriculture, BGI Research, Shenzhen 518083, China
- BGI Research, Wuhan 430074, China
| | - XiaoFeng Wei
- China National GeneBank, BGI, Shenzhen 518120, China
| | - Xiaodong Fang
- State Key Laboratory of Agricultural Genomics, Key Laboratory of Genomics, Ministry of Agriculture, BGI Research, Shenzhen 518083, China
- BGI Research, Sanya 572025, China
| | - Yang Xu
- Agricultural College, Yangzhou University, Yangzhou 225009, China
| | - Xuehui Huang
- Shanghai Key Laboratory of Plant Molecular Sciences, Shanghai Collaborative Innovation Center of Plant Germplasm Resources, College of Life Sciences, Shanghai Normal University, Shanghai, China
| | - Jie Qiu
- Shanghai Key Laboratory of Plant Molecular Sciences, Shanghai Collaborative Innovation Center of Plant Germplasm Resources, College of Life Sciences, Shanghai Normal University, Shanghai, China
| | - Huan Liu
- State Key Laboratory of Agricultural Genomics, Key Laboratory of Genomics, Ministry of Agriculture, BGI Research, Shenzhen 518083, China
- BGI Bioverse, Shenzhen 518083, China
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8
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Wang T, He W, Li X, Zhang C, He H, Yuan Q, Zhang B, Zhang H, Leng Y, Wei H, Xu Q, Shi C, Liu X, Guo M, Wang X, Chen W, Zhang Z, Yang L, Lv Y, Qian H, Zhang B, Yu X, Liu C, Cao X, Cui Y, Zhang Q, Dai X, Guo L, Wang Y, Zhou Y, Ruan J, Qian Q, Shang L. A rice variation map derived from 10 548 rice accessions reveals the importance of rare variants. Nucleic Acids Res 2023; 51:10924-10933. [PMID: 37843097 PMCID: PMC10639064 DOI: 10.1093/nar/gkad840] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/20/2023] [Revised: 09/08/2023] [Accepted: 09/21/2023] [Indexed: 10/17/2023] Open
Abstract
Detailed knowledge of the genetic variations in diverse crop populations forms the basis for genetic crop improvement and gene functional studies. In the present study, we analyzed a large rice population with a total of 10 548 accessions to construct a rice super-population variation map (RSPVM), consisting of 54 378 986 single nucleotide polymorphisms, 11 119 947 insertion/deletion mutations and 184 736 presence/absence variations. Assessment of variation detection efficiency for different population sizes revealed a sharp increase of all types of variation as the population size increased and a gradual saturation of that after the population size reached 10 000. Variant frequency analysis indicated that ∼90% of the obtained variants were rare, and would therefore likely be difficult to detect in a relatively small population. Among the rare variants, only 2.7% were predicted to be deleterious. Population structure, genetic diversity and gene functional polymorphism of this large population were evaluated based on different subsets of RSPVM, demonstrating the great potential of RSPVM for use in downstream applications. Our study provides both a rich genetic basis for understanding natural rice variations and a powerful tool for exploiting great potential of rare variants in future rice research, including population genetics and functional genomics.
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Affiliation(s)
- Tianyi Wang
- Shenzhen Branch, Guangdong Laboratory of Lingnan Modern Agriculture, Genome Analysis Laboratory of the Ministry of Agriculture and Rural Affairs, Agricultural Genomics Institute at Shenzhen, Chinese Academy of Agricultural Sciences, Shenzhen 518120, China
- State Key Laboratory of Crop Stress Adaptation and Improvement, School of Life Sciences, Henan University, Kaifeng 475004, China
- Shenzhen Research Institute of Henan university, Shenzhen 518000, China
| | - Wenchuang He
- Shenzhen Branch, Guangdong Laboratory of Lingnan Modern Agriculture, Genome Analysis Laboratory of the Ministry of Agriculture and Rural Affairs, Agricultural Genomics Institute at Shenzhen, Chinese Academy of Agricultural Sciences, Shenzhen 518120, China
| | - Xiaoxia Li
- Shenzhen Branch, Guangdong Laboratory of Lingnan Modern Agriculture, Genome Analysis Laboratory of the Ministry of Agriculture and Rural Affairs, Agricultural Genomics Institute at Shenzhen, Chinese Academy of Agricultural Sciences, Shenzhen 518120, China
| | - Chao Zhang
- Shenzhen Branch, Guangdong Laboratory of Lingnan Modern Agriculture, Genome Analysis Laboratory of the Ministry of Agriculture and Rural Affairs, Agricultural Genomics Institute at Shenzhen, Chinese Academy of Agricultural Sciences, Shenzhen 518120, China
| | - Huiying He
- Shenzhen Branch, Guangdong Laboratory of Lingnan Modern Agriculture, Genome Analysis Laboratory of the Ministry of Agriculture and Rural Affairs, Agricultural Genomics Institute at Shenzhen, Chinese Academy of Agricultural Sciences, Shenzhen 518120, China
| | - Qiaoling Yuan
- Shenzhen Branch, Guangdong Laboratory of Lingnan Modern Agriculture, Genome Analysis Laboratory of the Ministry of Agriculture and Rural Affairs, Agricultural Genomics Institute at Shenzhen, Chinese Academy of Agricultural Sciences, Shenzhen 518120, China
| | - Bin Zhang
- Shenzhen Branch, Guangdong Laboratory of Lingnan Modern Agriculture, Genome Analysis Laboratory of the Ministry of Agriculture and Rural Affairs, Agricultural Genomics Institute at Shenzhen, Chinese Academy of Agricultural Sciences, Shenzhen 518120, China
| | - Hong Zhang
- Shenzhen Branch, Guangdong Laboratory of Lingnan Modern Agriculture, Genome Analysis Laboratory of the Ministry of Agriculture and Rural Affairs, Agricultural Genomics Institute at Shenzhen, Chinese Academy of Agricultural Sciences, Shenzhen 518120, China
| | - Yue Leng
- Shenzhen Branch, Guangdong Laboratory of Lingnan Modern Agriculture, Genome Analysis Laboratory of the Ministry of Agriculture and Rural Affairs, Agricultural Genomics Institute at Shenzhen, Chinese Academy of Agricultural Sciences, Shenzhen 518120, China
| | - Hua Wei
- Shenzhen Branch, Guangdong Laboratory of Lingnan Modern Agriculture, Genome Analysis Laboratory of the Ministry of Agriculture and Rural Affairs, Agricultural Genomics Institute at Shenzhen, Chinese Academy of Agricultural Sciences, Shenzhen 518120, China
| | - Qiang Xu
- Shenzhen Branch, Guangdong Laboratory of Lingnan Modern Agriculture, Genome Analysis Laboratory of the Ministry of Agriculture and Rural Affairs, Agricultural Genomics Institute at Shenzhen, Chinese Academy of Agricultural Sciences, Shenzhen 518120, China
| | - Chuanlin Shi
- Shenzhen Branch, Guangdong Laboratory of Lingnan Modern Agriculture, Genome Analysis Laboratory of the Ministry of Agriculture and Rural Affairs, Agricultural Genomics Institute at Shenzhen, Chinese Academy of Agricultural Sciences, Shenzhen 518120, China
| | - Xiangpei Liu
- Shenzhen Branch, Guangdong Laboratory of Lingnan Modern Agriculture, Genome Analysis Laboratory of the Ministry of Agriculture and Rural Affairs, Agricultural Genomics Institute at Shenzhen, Chinese Academy of Agricultural Sciences, Shenzhen 518120, China
| | - Mingliang Guo
- Shenzhen Branch, Guangdong Laboratory of Lingnan Modern Agriculture, Genome Analysis Laboratory of the Ministry of Agriculture and Rural Affairs, Agricultural Genomics Institute at Shenzhen, Chinese Academy of Agricultural Sciences, Shenzhen 518120, China
| | - Xianmeng Wang
- Shenzhen Branch, Guangdong Laboratory of Lingnan Modern Agriculture, Genome Analysis Laboratory of the Ministry of Agriculture and Rural Affairs, Agricultural Genomics Institute at Shenzhen, Chinese Academy of Agricultural Sciences, Shenzhen 518120, China
| | - Wu Chen
- Shenzhen Branch, Guangdong Laboratory of Lingnan Modern Agriculture, Genome Analysis Laboratory of the Ministry of Agriculture and Rural Affairs, Agricultural Genomics Institute at Shenzhen, Chinese Academy of Agricultural Sciences, Shenzhen 518120, China
| | - Zhipeng Zhang
- Shenzhen Branch, Guangdong Laboratory of Lingnan Modern Agriculture, Genome Analysis Laboratory of the Ministry of Agriculture and Rural Affairs, Agricultural Genomics Institute at Shenzhen, Chinese Academy of Agricultural Sciences, Shenzhen 518120, China
| | - Longbo Yang
- Shenzhen Branch, Guangdong Laboratory of Lingnan Modern Agriculture, Genome Analysis Laboratory of the Ministry of Agriculture and Rural Affairs, Agricultural Genomics Institute at Shenzhen, Chinese Academy of Agricultural Sciences, Shenzhen 518120, China
| | - Yang Lv
- Shenzhen Branch, Guangdong Laboratory of Lingnan Modern Agriculture, Genome Analysis Laboratory of the Ministry of Agriculture and Rural Affairs, Agricultural Genomics Institute at Shenzhen, Chinese Academy of Agricultural Sciences, Shenzhen 518120, China
| | - Hongge Qian
- Shenzhen Branch, Guangdong Laboratory of Lingnan Modern Agriculture, Genome Analysis Laboratory of the Ministry of Agriculture and Rural Affairs, Agricultural Genomics Institute at Shenzhen, Chinese Academy of Agricultural Sciences, Shenzhen 518120, China
| | - Bintao Zhang
- Shenzhen Branch, Guangdong Laboratory of Lingnan Modern Agriculture, Genome Analysis Laboratory of the Ministry of Agriculture and Rural Affairs, Agricultural Genomics Institute at Shenzhen, Chinese Academy of Agricultural Sciences, Shenzhen 518120, China
| | - Xiaoman Yu
- Shenzhen Branch, Guangdong Laboratory of Lingnan Modern Agriculture, Genome Analysis Laboratory of the Ministry of Agriculture and Rural Affairs, Agricultural Genomics Institute at Shenzhen, Chinese Academy of Agricultural Sciences, Shenzhen 518120, China
| | - Congcong Liu
- Shenzhen Branch, Guangdong Laboratory of Lingnan Modern Agriculture, Genome Analysis Laboratory of the Ministry of Agriculture and Rural Affairs, Agricultural Genomics Institute at Shenzhen, Chinese Academy of Agricultural Sciences, Shenzhen 518120, China
| | - Xinglan Cao
- Shenzhen Branch, Guangdong Laboratory of Lingnan Modern Agriculture, Genome Analysis Laboratory of the Ministry of Agriculture and Rural Affairs, Agricultural Genomics Institute at Shenzhen, Chinese Academy of Agricultural Sciences, Shenzhen 518120, China
| | - Yan Cui
- Shenzhen Branch, Guangdong Laboratory of Lingnan Modern Agriculture, Genome Analysis Laboratory of the Ministry of Agriculture and Rural Affairs, Agricultural Genomics Institute at Shenzhen, Chinese Academy of Agricultural Sciences, Shenzhen 518120, China
| | - Qianqian Zhang
- Shenzhen Branch, Guangdong Laboratory of Lingnan Modern Agriculture, Genome Analysis Laboratory of the Ministry of Agriculture and Rural Affairs, Agricultural Genomics Institute at Shenzhen, Chinese Academy of Agricultural Sciences, Shenzhen 518120, China
| | - Xiaofan Dai
- Shenzhen Branch, Guangdong Laboratory of Lingnan Modern Agriculture, Genome Analysis Laboratory of the Ministry of Agriculture and Rural Affairs, Agricultural Genomics Institute at Shenzhen, Chinese Academy of Agricultural Sciences, Shenzhen 518120, China
| | - Longbiao Guo
- State Key Laboratory of Rice Biology, China National Rice Research Institute, Hangzhou 310006, China
| | - Yuexing Wang
- State Key Laboratory of Rice Biology, China National Rice Research Institute, Hangzhou 310006, China
| | - Yongfeng Zhou
- Shenzhen Branch, Guangdong Laboratory of Lingnan Modern Agriculture, Genome Analysis Laboratory of the Ministry of Agriculture and Rural Affairs, Agricultural Genomics Institute at Shenzhen, Chinese Academy of Agricultural Sciences, Shenzhen 518120, China
| | - Jue Ruan
- Shenzhen Branch, Guangdong Laboratory of Lingnan Modern Agriculture, Genome Analysis Laboratory of the Ministry of Agriculture and Rural Affairs, Agricultural Genomics Institute at Shenzhen, Chinese Academy of Agricultural Sciences, Shenzhen 518120, China
| | - Qian Qian
- Shenzhen Branch, Guangdong Laboratory of Lingnan Modern Agriculture, Genome Analysis Laboratory of the Ministry of Agriculture and Rural Affairs, Agricultural Genomics Institute at Shenzhen, Chinese Academy of Agricultural Sciences, Shenzhen 518120, China
- State Key Laboratory of Rice Biology, China National Rice Research Institute, Hangzhou 310006, China
- Yazhouwan National Laboratory, No. 8 Huanjin Road, Yazhou District, Sanya City, Hainan Province 572024, China
| | - Lianguang Shang
- Shenzhen Branch, Guangdong Laboratory of Lingnan Modern Agriculture, Genome Analysis Laboratory of the Ministry of Agriculture and Rural Affairs, Agricultural Genomics Institute at Shenzhen, Chinese Academy of Agricultural Sciences, Shenzhen 518120, China
- Yazhouwan National Laboratory, No. 8 Huanjin Road, Yazhou District, Sanya City, Hainan Province 572024, China
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9
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Ni WJ, Mubeen S, Leng XM, He C, Yang Z. Molecular-Assisted Breeding of Cadmium Pollution-Safe Cultivars. JOURNAL OF AGRICULTURAL AND FOOD CHEMISTRY 2023. [PMID: 37923701 DOI: 10.1021/acs.jafc.3c04967] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 11/07/2023]
Abstract
Cadmium (Cd) contamination in edible agricultural products, especially in crops intended for consumption, has raised worldwide concerns regarding food safety. Breeding of Cd pollution-safe cultivars (Cd-PSCs) is an effective solution to preventing the entry of Cd into the food chain from contaminated agricultural soil. Molecular-assisted breeding methods, based on molecular mechanisms for cultivar-dependent Cd accumulation and bioinformatic tools, have been developed to accelerate and facilitate the breeding of Cd-PSCs. This review summarizes the recent progress in the research of the low Cd accumulation traits of Cd-PSCs in different crops. Furthermore, the application of molecular-assisted breeding methods, including transgenic approaches, genome editing, marker-assisted selection, whole genome-wide association analysis, and transcriptome, has been highlighted to outline the breeding of Cd-PSCs by identifying critical genes and molecular biomarkers. This review provides a comprehensive overview of the development of Cd-PSCs and the potential future for breeding Cd-PSC using modern molecular technologies.
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Affiliation(s)
- Wen-Juan Ni
- School of Life Science, Sun Yat-sen University, Guangzhou 510275, China
- School of Basic Medicine, Gannan Medical University, Ganzhou 341000, China
| | - Samavia Mubeen
- School of Life Science, Sun Yat-sen University, Guangzhou 510275, China
| | - Xiao-Min Leng
- School of Basic Medicine, Gannan Medical University, Ganzhou 341000, China
| | - Chuntao He
- School of Life Science, Sun Yat-sen University, Guangzhou 510275, China
- School of Agriculture, Sun Yat-sen University, Guangzhou 510275, China
| | - Zhongyi Yang
- School of Life Science, Sun Yat-sen University, Guangzhou 510275, China
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10
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Gu Z, Gong J, Zhu Z, Li Z, Feng Q, Wang C, Zhao Y, Zhan Q, Zhou C, Wang A, Huang T, Zhang L, Tian Q, Fan D, Lu Y, Zhao Q, Huang X, Yang S, Han B. Structure and function of rice hybrid genomes reveal genetic basis and optimal performance of heterosis. Nat Genet 2023; 55:1745-1756. [PMID: 37679493 PMCID: PMC10562254 DOI: 10.1038/s41588-023-01495-8] [Citation(s) in RCA: 4] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/20/2022] [Accepted: 08/02/2023] [Indexed: 09/09/2023]
Abstract
Exploitation of crop heterosis is crucial for increasing global agriculture production. However, the quantitative genomic analysis of heterosis was lacking, and there is currently no effective prediction tool to optimize cross-combinations. Here 2,839 rice hybrid cultivars and 9,839 segregation individuals were resequenced and phenotyped. Our findings demonstrated that indica-indica hybrid-improving breeding was a process that broadened genetic resources, pyramided breeding-favorable alleles through combinatorial selection and collaboratively improved both parents by eliminating the inferior alleles at negative dominant loci. Furthermore, we revealed that widespread genetic complementarity contributed to indica-japonica intersubspecific heterosis in yield traits, with dominance effect loci making a greater contribution to phenotypic variance than overdominance effect loci. On the basis of the comprehensive dataset, a genomic model applicable to diverse rice varieties was developed and optimized to predict the performance of hybrid combinations. Our data offer a valuable resource for advancing the understanding and facilitating the utilization of heterosis in rice.
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Affiliation(s)
- Zhoulin Gu
- National Center for Gene Research, State Key Laboratory of Plant Molecular Genetics, CAS Center for Excellence in Molecular Plant Sciences, Institute of Plant Physiology and Ecology, Chinese Academy of Sciences, Shanghai, China
| | - Junyi Gong
- State Key Laboratory of Rice Biology, China National Rice Research Institute, Chinese Academy of Agricultural Sciences, Hangzhou, China
| | - Zhou Zhu
- National Center for Gene Research, State Key Laboratory of Plant Molecular Genetics, CAS Center for Excellence in Molecular Plant Sciences, Institute of Plant Physiology and Ecology, Chinese Academy of Sciences, Shanghai, China
- University of Chinese Academy of Sciences, Beijing, China
| | - Zhen Li
- National Center for Gene Research, State Key Laboratory of Plant Molecular Genetics, CAS Center for Excellence in Molecular Plant Sciences, Institute of Plant Physiology and Ecology, Chinese Academy of Sciences, Shanghai, China
- College of Life Sciences, Anhui Normal University, Wuhu, China
| | - Qi Feng
- National Center for Gene Research, State Key Laboratory of Plant Molecular Genetics, CAS Center for Excellence in Molecular Plant Sciences, Institute of Plant Physiology and Ecology, Chinese Academy of Sciences, Shanghai, China
| | - Changsheng Wang
- National Center for Gene Research, State Key Laboratory of Plant Molecular Genetics, CAS Center for Excellence in Molecular Plant Sciences, Institute of Plant Physiology and Ecology, Chinese Academy of Sciences, Shanghai, China
| | - Yan Zhao
- National Center for Gene Research, State Key Laboratory of Plant Molecular Genetics, CAS Center for Excellence in Molecular Plant Sciences, Institute of Plant Physiology and Ecology, Chinese Academy of Sciences, Shanghai, China
| | - Qilin Zhan
- National Center for Gene Research, State Key Laboratory of Plant Molecular Genetics, CAS Center for Excellence in Molecular Plant Sciences, Institute of Plant Physiology and Ecology, Chinese Academy of Sciences, Shanghai, China
| | - Congcong Zhou
- National Center for Gene Research, State Key Laboratory of Plant Molecular Genetics, CAS Center for Excellence in Molecular Plant Sciences, Institute of Plant Physiology and Ecology, Chinese Academy of Sciences, Shanghai, China
| | - Ahong Wang
- National Center for Gene Research, State Key Laboratory of Plant Molecular Genetics, CAS Center for Excellence in Molecular Plant Sciences, Institute of Plant Physiology and Ecology, Chinese Academy of Sciences, Shanghai, China
| | - Tao Huang
- National Center for Gene Research, State Key Laboratory of Plant Molecular Genetics, CAS Center for Excellence in Molecular Plant Sciences, Institute of Plant Physiology and Ecology, Chinese Academy of Sciences, Shanghai, China
| | - Lei Zhang
- National Center for Gene Research, State Key Laboratory of Plant Molecular Genetics, CAS Center for Excellence in Molecular Plant Sciences, Institute of Plant Physiology and Ecology, Chinese Academy of Sciences, Shanghai, China
| | - Qilin Tian
- National Center for Gene Research, State Key Laboratory of Plant Molecular Genetics, CAS Center for Excellence in Molecular Plant Sciences, Institute of Plant Physiology and Ecology, Chinese Academy of Sciences, Shanghai, China
| | - Danlin Fan
- National Center for Gene Research, State Key Laboratory of Plant Molecular Genetics, CAS Center for Excellence in Molecular Plant Sciences, Institute of Plant Physiology and Ecology, Chinese Academy of Sciences, Shanghai, China
| | - Yiqi Lu
- National Center for Gene Research, State Key Laboratory of Plant Molecular Genetics, CAS Center for Excellence in Molecular Plant Sciences, Institute of Plant Physiology and Ecology, Chinese Academy of Sciences, Shanghai, China
| | - Qiang Zhao
- National Center for Gene Research, State Key Laboratory of Plant Molecular Genetics, CAS Center for Excellence in Molecular Plant Sciences, Institute of Plant Physiology and Ecology, Chinese Academy of Sciences, Shanghai, China
| | - Xuehui Huang
- College of Life Sciences, Shanghai Normal University, Shanghai, China
| | - Shihua Yang
- State Key Laboratory of Rice Biology, China National Rice Research Institute, Chinese Academy of Agricultural Sciences, Hangzhou, China.
| | - Bin Han
- National Center for Gene Research, State Key Laboratory of Plant Molecular Genetics, CAS Center for Excellence in Molecular Plant Sciences, Institute of Plant Physiology and Ecology, Chinese Academy of Sciences, Shanghai, China.
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11
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Yue E, Rong F, Liu Z, Ruan S, Lu T, Qian H. Cadmium induced a non-coding RNA microRNA535 mediates Cd accumulation in rice. J Environ Sci (China) 2023; 130:149-162. [PMID: 37032032 DOI: 10.1016/j.jes.2022.10.005] [Citation(s) in RCA: 6] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/11/2022] [Revised: 10/03/2022] [Accepted: 10/05/2022] [Indexed: 06/19/2023]
Abstract
Identifying key regulators related to cadmium (Cd) tolerance and accumulation is the main factor for genetic engineering to improve plants for bioremediation and ensure crop food safety. MicroRNAs (miRNAs), as fine-tuning regulators of genes, participate in various abiotic stress processes. MiR535 is an ancient conserved non-coding small RNA in land plants, positively responding to Cd stress. We investigated the effects of knocking out (mir535) and overexpressing miR535 (mir535 and OE535) under Cd stress in rice plants in this study. The mir535 plants showed better Cd tolerance than wild type (WT), whereas the OE535 showed the opposite effect. Cd accumulated approximately 71.9% and 127% in the roots of mir535 and OE535 plants, respectively, compared to WT, after exposure to 2 µmol/L Cd. In brown rice, the total Cd accumulation of OE535 and mir535 was about 78% greater and 35% lower than WT. When growing in 2 mg/kg Cd of soil, the Cd concentration was significantly lower in mir535 and higher in OE535 than in the WT; afterward, we further revealed the most possible target gene SQUAMOSA promoter binding-like transcription factor 7(SPL7) and it negatively regulates Nramp5 expression, which in turn regulates Cd metabolism. Therefore, the CRISPR/Cas9 technology may be a valuable strategy for creating new rice varieties to ensure food safety.
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Affiliation(s)
- Erkui Yue
- College of Environment, Zhejiang University of Technology, Hangzhou 310032, China; Institute of Crop Science, College of Agriculture and Biotechnology, Zhejiang University, Hangzhou 310058, China; Institute of Crops, Hangzhou Academy of Agricultural Sciences, Hangzhou 310021, China
| | - Fuxi Rong
- Institute of Crop Science, College of Agriculture and Biotechnology, Zhejiang University, Hangzhou 310058, China
| | - Zhen Liu
- Hainan Institute, Zhejiang University, Hainan 572000, China
| | - Songlin Ruan
- Institute of Crops, Hangzhou Academy of Agricultural Sciences, Hangzhou 310021, China
| | - Tao Lu
- College of Environment, Zhejiang University of Technology, Hangzhou 310032, China
| | - Haifeng Qian
- College of Environment, Zhejiang University of Technology, Hangzhou 310032, China.
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12
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Ma S, Zhong Y, Zheng S, He Y, Yang S, Wang L, Traw MB, Zhang Q, Zhang X. Rapid Identification by Resequencing-Based QTL Mapping of a Novel Allele RGA1-FH Decreasing Grain Length in a Rice Restorer Line 'Fuhui212'. Int J Mol Sci 2023; 24:10746. [PMID: 37445924 DOI: 10.3390/ijms241310746] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/30/2023] [Revised: 06/21/2023] [Accepted: 06/25/2023] [Indexed: 07/15/2023] Open
Abstract
Grain size is one of the most frequently selected traits during domestication and modern breeding. The continued discovery and characterization of new genes and alleles in controlling grain size are important in safeguarding the food supply for the world's growing population. Previously, a small grain size was observed in a rice restorer line 'Fuhui212', while the underlying genetic factors controlling this trait were unknown. In this study, by combining QTL mapping, variant effect prediction, and complementation experiments, we recovered a novel allele RGA1-FH that explains most of the phenotypic changes. The RGA1-FH allele contains an A-to-T splicing site variant that disrupts the normal function of RGA1. While population analysis suggests extremely strong artificial selection in maintaining a functional allele of RGA1, our study is the first, to the best of our knowledge, to prove that a dysfunctional RGA1 allele can also be beneficial in real agricultural production. Future breeding programs would benefit from paying more attention to the rational utilization of those overlooked 'unfavored' alleles.
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Affiliation(s)
- Shiying Ma
- State Key Laboratory of Pharmaceutical Biotechnology, School of Life Sciences, Nanjing University, Nanjing 210023, China
| | - Yifan Zhong
- State Key Laboratory of Pharmaceutical Biotechnology, School of Life Sciences, Nanjing University, Nanjing 210023, China
| | - Shuyi Zheng
- State Key Laboratory of Pharmaceutical Biotechnology, School of Life Sciences, Nanjing University, Nanjing 210023, China
| | - Ying He
- State Key Laboratory of Pharmaceutical Biotechnology, School of Life Sciences, Nanjing University, Nanjing 210023, China
| | - Sihai Yang
- State Key Laboratory of Pharmaceutical Biotechnology, School of Life Sciences, Nanjing University, Nanjing 210023, China
| | - Long Wang
- State Key Laboratory of Pharmaceutical Biotechnology, School of Life Sciences, Nanjing University, Nanjing 210023, China
| | - Milton Brian Traw
- State Key Laboratory of Pharmaceutical Biotechnology, School of Life Sciences, Nanjing University, Nanjing 210023, China
| | - Qijun Zhang
- Institute of Food Crops, Jiangsu Academy of Agricultural Sciences, Nanjing 210014, China
| | - Xiaohui Zhang
- State Key Laboratory of Pharmaceutical Biotechnology, School of Life Sciences, Nanjing University, Nanjing 210023, China
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13
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Hang Y, Yue L, Bingrui S, Qing L, Xingxue M, Liqun J, Shuwei L, Jing Z, Pingli C, Dajian P, Wenfeng C, Zhilan F, Chen L. Genetic Diversity and Breeding Signatures for Regional Indica Rice Improvement in Guangdong of Southern China. RICE (NEW YORK, N.Y.) 2023; 16:25. [PMID: 37191779 DOI: 10.1186/s12284-023-00642-3] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 02/14/2023] [Accepted: 05/14/2023] [Indexed: 05/17/2023]
Abstract
As the pioneer of the Green Revolution in China, Guangdong province witnessed the improvement and spread of semi-dwarf Xian/Indica rice cultivars and possessed diverse rice germplasm of landrace and cultivars. A total of 517 accessions containing a core germplasm of 479 newly sequenced landraces and modern cultivars were used to reveal breeding signatures and key variations for regional genetic improvement of indica rice from Guangdong. Four subpopulations were identified in the collection, which including Ind IV as a novel subpopulation that not covered by previously released accessions. Modern cultivars of subpopulation Ind II were inferred to have less deleterious variations, especially in yield related genes. About 15 Mb genomic segments were identified as potential breeding signatures by cross-population likelihood method (XP-CLR) of modern cultivars and landraces. The selected regions spanning multiple yield related QTLs (quantitative trait locus) which identified by GWAS (genome-wide association studies) of the same population, and specific variations that fixed in modern cultivars of Ind II were characterized. This study highlights genetic differences between traditional landraces and modern cultivars, which revealed the potential molecular basis of regional genetic improvement for Guangdong indica rice from southern China.
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Affiliation(s)
- Yu Hang
- Rice Research Institute, Guangdong Academy of Agricultural Sciences, Guangzhou, 510640, China
- Key Laboratory of Genetics and Breeding of High Quality Rice in Southern China (Co-construction by Ministry and Province), Ministry of Agriculture and Rural Affairs, Guangzhou, 510640, China
- Guangdong Key Laboratory of New Technology in Rice Breeding, Guangzhou, 510640, China
- Guangdong Rice Engineering Laboratory, Guangzhou, 510640, China
| | - Liu Yue
- Rice Research Institute, Guangdong Academy of Agricultural Sciences, Guangzhou, 510640, China
- Key Laboratory of Genetics and Breeding of High Quality Rice in Southern China (Co-construction by Ministry and Province), Ministry of Agriculture and Rural Affairs, Guangzhou, 510640, China
- Guangdong Key Laboratory of New Technology in Rice Breeding, Guangzhou, 510640, China
- Guangdong Rice Engineering Laboratory, Guangzhou, 510640, China
| | - Sun Bingrui
- Rice Research Institute, Guangdong Academy of Agricultural Sciences, Guangzhou, 510640, China
- Key Laboratory of Genetics and Breeding of High Quality Rice in Southern China (Co-construction by Ministry and Province), Ministry of Agriculture and Rural Affairs, Guangzhou, 510640, China
- Guangdong Key Laboratory of New Technology in Rice Breeding, Guangzhou, 510640, China
- Guangdong Rice Engineering Laboratory, Guangzhou, 510640, China
| | - Liu Qing
- Rice Research Institute, Guangdong Academy of Agricultural Sciences, Guangzhou, 510640, China
- Key Laboratory of Genetics and Breeding of High Quality Rice in Southern China (Co-construction by Ministry and Province), Ministry of Agriculture and Rural Affairs, Guangzhou, 510640, China
- Guangdong Key Laboratory of New Technology in Rice Breeding, Guangzhou, 510640, China
- Guangdong Rice Engineering Laboratory, Guangzhou, 510640, China
| | - Mao Xingxue
- Rice Research Institute, Guangdong Academy of Agricultural Sciences, Guangzhou, 510640, China
- Key Laboratory of Genetics and Breeding of High Quality Rice in Southern China (Co-construction by Ministry and Province), Ministry of Agriculture and Rural Affairs, Guangzhou, 510640, China
- Guangdong Key Laboratory of New Technology in Rice Breeding, Guangzhou, 510640, China
- Guangdong Rice Engineering Laboratory, Guangzhou, 510640, China
| | - Jiang Liqun
- Rice Research Institute, Guangdong Academy of Agricultural Sciences, Guangzhou, 510640, China
- Key Laboratory of Genetics and Breeding of High Quality Rice in Southern China (Co-construction by Ministry and Province), Ministry of Agriculture and Rural Affairs, Guangzhou, 510640, China
- Guangdong Key Laboratory of New Technology in Rice Breeding, Guangzhou, 510640, China
- Guangdong Rice Engineering Laboratory, Guangzhou, 510640, China
| | - Lyu Shuwei
- Rice Research Institute, Guangdong Academy of Agricultural Sciences, Guangzhou, 510640, China
- Key Laboratory of Genetics and Breeding of High Quality Rice in Southern China (Co-construction by Ministry and Province), Ministry of Agriculture and Rural Affairs, Guangzhou, 510640, China
- Guangdong Key Laboratory of New Technology in Rice Breeding, Guangzhou, 510640, China
- Guangdong Rice Engineering Laboratory, Guangzhou, 510640, China
| | - Zhang Jing
- Rice Research Institute, Guangdong Academy of Agricultural Sciences, Guangzhou, 510640, China
- Key Laboratory of Genetics and Breeding of High Quality Rice in Southern China (Co-construction by Ministry and Province), Ministry of Agriculture and Rural Affairs, Guangzhou, 510640, China
- Guangdong Key Laboratory of New Technology in Rice Breeding, Guangzhou, 510640, China
- Guangdong Rice Engineering Laboratory, Guangzhou, 510640, China
| | - Chen Pingli
- Rice Research Institute, Guangdong Academy of Agricultural Sciences, Guangzhou, 510640, China
- Key Laboratory of Genetics and Breeding of High Quality Rice in Southern China (Co-construction by Ministry and Province), Ministry of Agriculture and Rural Affairs, Guangzhou, 510640, China
- Guangdong Key Laboratory of New Technology in Rice Breeding, Guangzhou, 510640, China
- Guangdong Rice Engineering Laboratory, Guangzhou, 510640, China
| | - Pan Dajian
- Rice Research Institute, Guangdong Academy of Agricultural Sciences, Guangzhou, 510640, China
- Key Laboratory of Genetics and Breeding of High Quality Rice in Southern China (Co-construction by Ministry and Province), Ministry of Agriculture and Rural Affairs, Guangzhou, 510640, China
- Guangdong Key Laboratory of New Technology in Rice Breeding, Guangzhou, 510640, China
- Guangdong Rice Engineering Laboratory, Guangzhou, 510640, China
| | - Chen Wenfeng
- Rice Research Institute, Guangdong Academy of Agricultural Sciences, Guangzhou, 510640, China
- Key Laboratory of Genetics and Breeding of High Quality Rice in Southern China (Co-construction by Ministry and Province), Ministry of Agriculture and Rural Affairs, Guangzhou, 510640, China
- Guangdong Key Laboratory of New Technology in Rice Breeding, Guangzhou, 510640, China
- Guangdong Rice Engineering Laboratory, Guangzhou, 510640, China
| | - Fan Zhilan
- Rice Research Institute, Guangdong Academy of Agricultural Sciences, Guangzhou, 510640, China
- Key Laboratory of Genetics and Breeding of High Quality Rice in Southern China (Co-construction by Ministry and Province), Ministry of Agriculture and Rural Affairs, Guangzhou, 510640, China
- Guangdong Key Laboratory of New Technology in Rice Breeding, Guangzhou, 510640, China
- Guangdong Rice Engineering Laboratory, Guangzhou, 510640, China
| | - Li Chen
- Rice Research Institute, Guangdong Academy of Agricultural Sciences, Guangzhou, 510640, China.
- Key Laboratory of Genetics and Breeding of High Quality Rice in Southern China (Co-construction by Ministry and Province), Ministry of Agriculture and Rural Affairs, Guangzhou, 510640, China.
- Guangdong Key Laboratory of New Technology in Rice Breeding, Guangzhou, 510640, China.
- Guangdong Rice Engineering Laboratory, Guangzhou, 510640, China.
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14
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Sun Z, Peng J, Lv Q, Ding J, Chen S, Duan M, He Q, Wu J, Tian Y, Yu D, Tan Y, Sheng X, Chen J, Sun X, Liu L, Peng R, Liu H, Zhou T, Xu N, Lou J, Yuan L, Wang B, Yuan D. Dissecting the genetic basis of heterosis in elite super-hybrid rice. PLANT PHYSIOLOGY 2023; 192:307-325. [PMID: 36755501 PMCID: PMC10152689 DOI: 10.1093/plphys/kiad078] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 01/06/2023] [Revised: 01/06/2023] [Accepted: 01/18/2023] [Indexed: 05/03/2023]
Abstract
Y900 is one of the top hybrid rice (Oryza sativa) varieties, with its yield exceeding 15 t·hm-2. To dissect the mechanism of heterosis, we sequenced the male parent line R900 and female parent line Y58S using long-read and Hi-C technology. High-quality reference genomes of 396.41 Mb and 398.24 Mb were obtained for R900 and Y58S, respectively. Genome-wide variations between the parents were systematically identified, including 1,367,758 single-nucleotide polymorphisms, 299,149 insertions/deletions, and 4,757 structural variations. The level of variation between Y58S and R900 was the lowest among the comparisons of Y58S with other rice genomes. More than 75% of genes exhibited variation between the two parents. Compared with other two-line hybrids sharing the same female parent, the portion of Geng/japonica (GJ)-type genetic components from different male parents increased with yield increasing in their corresponding hybrids. Transcriptome analysis revealed that the partial dominance effect was the main genetic effect that constituted the heterosis of Y900. In the hybrid, both alleles from the two parents were expressed, and their expression patterns were dynamically regulated in different tissues. The cis-regulation was dominant for young panicle tissues, while trans-regulation was more common in leaf tissues. Overdominance was surprisingly prevalent in stems and more likely regulated by the trans-regulation mechanism. Additionally, R900 contained many excellent GJ haplotypes, such as NARROW LEAF1, Oryza sativa SQUAMOSA PROMOTER BINDING PROTEIN-LIKE13, and Grain number, plant height, and heading date8, making it a good complement to Y58S. The fine-tuned mechanism of heterosis involves genome-wide variation, GJ introgression, key functional genes, and dynamic gene/allele expression and regulation pattern changes in different tissues and growth stages.
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Affiliation(s)
- Zhizhong Sun
- State Key Laboratory of Hybrid Rice, Hunan Hybrid Rice Research Center, Hunan Academy of Agricultural Sciences, Changsha 410125, China
- Longping Branch, College of Biology, Hunan University, Changsha 410125, China
| | | | - Qiming Lv
- State Key Laboratory of Hybrid Rice, Hunan Hybrid Rice Research Center, Hunan Academy of Agricultural Sciences, Changsha 410125, China
- Longping Branch, College of Biology, Hunan University, Changsha 410125, China
| | - Jia Ding
- State Key Laboratory of Hybrid Rice, Hunan Hybrid Rice Research Center, Hunan Academy of Agricultural Sciences, Changsha 410125, China
- College of Agronomy, Hunan Agricultural University, Changsha 410128, China
| | - Siyang Chen
- College of Agronomy, Hunan Agricultural University, Changsha 410128, China
| | - Meijuan Duan
- College of Agronomy, Hunan Agricultural University, Changsha 410128, China
| | - Qiang He
- State Key Laboratory of Hybrid Rice, Hunan Hybrid Rice Research Center, Hunan Academy of Agricultural Sciences, Changsha 410125, China
| | - Jun Wu
- State Key Laboratory of Hybrid Rice, Hunan Hybrid Rice Research Center, Hunan Academy of Agricultural Sciences, Changsha 410125, China
| | - Yan Tian
- State Key Laboratory of Hybrid Rice, Hunan Hybrid Rice Research Center, Hunan Academy of Agricultural Sciences, Changsha 410125, China
| | - Dong Yu
- State Key Laboratory of Hybrid Rice, Hunan Hybrid Rice Research Center, Hunan Academy of Agricultural Sciences, Changsha 410125, China
| | - Yanning Tan
- State Key Laboratory of Hybrid Rice, Hunan Hybrid Rice Research Center, Hunan Academy of Agricultural Sciences, Changsha 410125, China
| | - Xiabing Sheng
- State Key Laboratory of Hybrid Rice, Hunan Hybrid Rice Research Center, Hunan Academy of Agricultural Sciences, Changsha 410125, China
| | - Jin Chen
- State Key Laboratory of Hybrid Rice, Hunan Hybrid Rice Research Center, Hunan Academy of Agricultural Sciences, Changsha 410125, China
| | - Xuewu Sun
- State Key Laboratory of Hybrid Rice, Hunan Hybrid Rice Research Center, Hunan Academy of Agricultural Sciences, Changsha 410125, China
| | - Ling Liu
- College of Agronomy, Hunan Agricultural University, Changsha 410128, China
| | - Rui Peng
- State Key Laboratory of Hybrid Rice, Hunan Hybrid Rice Research Center, Hunan Academy of Agricultural Sciences, Changsha 410125, China
| | - Hai Liu
- State Key Laboratory of Hybrid Rice, Hunan Hybrid Rice Research Center, Hunan Academy of Agricultural Sciences, Changsha 410125, China
| | - Tianshun Zhou
- State Key Laboratory of Hybrid Rice, Hunan Hybrid Rice Research Center, Hunan Academy of Agricultural Sciences, Changsha 410125, China
- Longping Branch, College of Biology, Hunan University, Changsha 410125, China
| | - Na Xu
- State Key Laboratory of Hybrid Rice, Hunan Hybrid Rice Research Center, Hunan Academy of Agricultural Sciences, Changsha 410125, China
| | - Jianhang Lou
- State Key Laboratory of Hybrid Rice, Hunan Hybrid Rice Research Center, Hunan Academy of Agricultural Sciences, Changsha 410125, China
| | - Longping Yuan
- State Key Laboratory of Hybrid Rice, Hunan Hybrid Rice Research Center, Hunan Academy of Agricultural Sciences, Changsha 410125, China
| | - Bingbing Wang
- Biobin Data Sciences Co., Ltd., Changsha 410221, China
| | - Dingyang Yuan
- State Key Laboratory of Hybrid Rice, Hunan Hybrid Rice Research Center, Hunan Academy of Agricultural Sciences, Changsha 410125, China
- Longping Branch, College of Biology, Hunan University, Changsha 410125, China
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15
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Zhang Q, Xie J, Zhu X, Ma X, Yang T, Khan NU, Zhang S, Liu M, Li L, Liang Y, Pan Y, Li D, Li J, Li Z, Zhang H, Zhang Z. Natural variation in Tiller Number 1 affects its interaction with TIF1 to regulate tillering in rice. PLANT BIOTECHNOLOGY JOURNAL 2023; 21:1044-1057. [PMID: 36705337 PMCID: PMC10106862 DOI: 10.1111/pbi.14017] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 11/26/2021] [Revised: 12/15/2022] [Accepted: 01/23/2023] [Indexed: 05/04/2023]
Abstract
Tiller number per plant-a cardinal component of ideal plant architecture-affects grain yield potential. Thus, alleles positively affecting tillering must be mined to promote genetic improvement. Here, we report a Tiller Number 1 (TN1) protein harbouring a bromo-adjacent homology domain and RNA recognition motifs, identified through genome-wide association study of tiller numbers. Natural variation in TN1 affects its interaction with TIF1 (TN1 interaction factor 1) to affect DWARF14 expression and negatively regulate tiller number in rice. Further analysis of variations in TN1 among indica genotypes according to geographical distribution revealed that low-tillering varieties with TN1-hapL are concentrated in Southeast Asia and East Asia, whereas high-tillering varieties with TN1-hapH are concentrated in South Asia. Taken together, these results indicate that TN1 is a tillering regulatory factor whose alleles present apparent preferential utilization across geographical regions. Our findings advance the molecular understanding of tiller development.
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Affiliation(s)
- Quan Zhang
- MOE Key Laboratory of Crop Heterosis and Utilization/Beijing Key Laboratory of Crop Genetic Improvement, College of Agronomy and BiotechnologyChina Agricultural UniversityBeijingChina
| | - Jianyin Xie
- MOE Key Laboratory of Crop Heterosis and Utilization/Beijing Key Laboratory of Crop Genetic Improvement, College of Agronomy and BiotechnologyChina Agricultural UniversityBeijingChina
| | - Xiaoyang Zhu
- MOE Key Laboratory of Crop Heterosis and Utilization/Beijing Key Laboratory of Crop Genetic Improvement, College of Agronomy and BiotechnologyChina Agricultural UniversityBeijingChina
| | - Xiaoqian Ma
- MOE Key Laboratory of Crop Heterosis and Utilization/Beijing Key Laboratory of Crop Genetic Improvement, College of Agronomy and BiotechnologyChina Agricultural UniversityBeijingChina
| | - Tao Yang
- MOE Key Laboratory of Crop Heterosis and Utilization/Beijing Key Laboratory of Crop Genetic Improvement, College of Agronomy and BiotechnologyChina Agricultural UniversityBeijingChina
| | - Najeeb Ullah Khan
- MOE Key Laboratory of Crop Heterosis and Utilization/Beijing Key Laboratory of Crop Genetic Improvement, College of Agronomy and BiotechnologyChina Agricultural UniversityBeijingChina
| | - Shuyang Zhang
- MOE Key Laboratory of Crop Heterosis and Utilization/Beijing Key Laboratory of Crop Genetic Improvement, College of Agronomy and BiotechnologyChina Agricultural UniversityBeijingChina
| | - Miaosong Liu
- MOE Key Laboratory of Crop Heterosis and Utilization/Beijing Key Laboratory of Crop Genetic Improvement, College of Agronomy and BiotechnologyChina Agricultural UniversityBeijingChina
| | - Lin Li
- MOE Key Laboratory of Crop Heterosis and Utilization/Beijing Key Laboratory of Crop Genetic Improvement, College of Agronomy and BiotechnologyChina Agricultural UniversityBeijingChina
| | - Yuntao Liang
- Guangxi Key Laboratory of Rice Genetics and BreedingRice Research Institute of Guangxi Academy of Agricultural SciencesNanningGuangxiChina
| | - Yinghua Pan
- Guangxi Key Laboratory of Rice Genetics and BreedingRice Research Institute of Guangxi Academy of Agricultural SciencesNanningGuangxiChina
| | - Danting Li
- Guangxi Key Laboratory of Rice Genetics and BreedingRice Research Institute of Guangxi Academy of Agricultural SciencesNanningGuangxiChina
| | - Jinjie Li
- MOE Key Laboratory of Crop Heterosis and Utilization/Beijing Key Laboratory of Crop Genetic Improvement, College of Agronomy and BiotechnologyChina Agricultural UniversityBeijingChina
| | - Zichao Li
- MOE Key Laboratory of Crop Heterosis and Utilization/Beijing Key Laboratory of Crop Genetic Improvement, College of Agronomy and BiotechnologyChina Agricultural UniversityBeijingChina
- Sanya Institute of China Agricultural UniversitySanyaChina
| | - Hongliang Zhang
- MOE Key Laboratory of Crop Heterosis and Utilization/Beijing Key Laboratory of Crop Genetic Improvement, College of Agronomy and BiotechnologyChina Agricultural UniversityBeijingChina
- Sanya Institute of China Agricultural UniversitySanyaChina
- Sanya Nanfan Research Institute of Hainan UniversitySanyaChina
| | - Zhanying Zhang
- MOE Key Laboratory of Crop Heterosis and Utilization/Beijing Key Laboratory of Crop Genetic Improvement, College of Agronomy and BiotechnologyChina Agricultural UniversityBeijingChina
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16
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Li M, Li R, Zhang J, Liu S, Hei Z, Wang Q. Mixed cropping with duck co-culture: an agroecological system to improve grain quality and farm profitability. JOURNAL OF THE SCIENCE OF FOOD AND AGRICULTURE 2023; 103:3028-3040. [PMID: 36515187 DOI: 10.1002/jsfa.12386] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 04/11/2022] [Revised: 12/10/2022] [Accepted: 12/14/2022] [Indexed: 06/17/2023]
Abstract
BACKGROUND Previous studies found that mixed cropping combined with duck co-culture (MCDC) system could improve the efficiency of grain production and positively affect soil nutrient contents. However, the effects on grain quality, and profitable income have not been evaluated yet. In this study, a field experiment with four combinations of different rice varieties and ducks was conducted during both the early and late rice growing seasons. RESULTS The field survey demonstrated that MCDC system significantly decreased the grain appearance of chalky rice rate and the chalkiness degree with an average of 56.82%, and 54.28%, respectively. Leaf SPAD value, photosynthetic rate, and aboveground dry weight were all improved in the MCDC and mixed-cropping systems, relative to the mono-cropping system. The net income obtained from the mono-cropping, mixed cropping (no ducks), and MCDC (with ducks) systems (from grain and ducks' meat) was 581.2 USD ha-1 yr-1 , 1001.8 USD ha-1 yr-1 , and 5242.1 USD ha-1 yr-1 in both growing seasons, respectively. CONCLUSION Planting genetically diverse rice varieties and co-culture with ducks increased rice growth rates, productivity and grain quality. The MCDC system would provide more ecological and economic benefits compared with the conventional mono-cropping system. © 2022 Society of Chemical Industry.
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Affiliation(s)
- Meijuan Li
- Department of Ecology, College of Natural Resources and Environment, South China Agricultural University, Guangzhou, P. R. China
- Rice Research Institute, Guangdong Academy of Agricultural Sciences, Guangzhou, P. R. China
| | - Ronghua Li
- Department of Ecology, College of Natural Resources and Environment, South China Agricultural University, Guangzhou, P. R. China
- Guangdong Provincial Key Laboratory of Eco-circular Agriculture, South China Agricultural University, Guangzhou, P. R. China
- Guangdong Engineering Technology Research Centre of Modern Eco-agriculture and Circular Agriculture, Guangzhou, P. R. China
- Key Laboratory of Agro-Environment in the Tropics, Ministry of Agriculture, Guangzhou, P. R. China
| | - Jiaen Zhang
- Department of Ecology, College of Natural Resources and Environment, South China Agricultural University, Guangzhou, P. R. China
- Guangdong Provincial Key Laboratory of Eco-circular Agriculture, South China Agricultural University, Guangzhou, P. R. China
- Guangdong Engineering Technology Research Centre of Modern Eco-agriculture and Circular Agriculture, Guangzhou, P. R. China
- Key Laboratory of Agro-Environment in the Tropics, Ministry of Agriculture, Guangzhou, P. R. China
- Guangdong Laboratory for Lingnan Modern Agriculture, Guangzhou, P. R. China
| | - Shiwei Liu
- Department of Ecology, College of Natural Resources and Environment, South China Agricultural University, Guangzhou, P. R. China
| | - Zewen Hei
- Department of Ecology, College of Natural Resources and Environment, South China Agricultural University, Guangzhou, P. R. China
| | - Qi Wang
- Department of Ecology, College of Natural Resources and Environment, South China Agricultural University, Guangzhou, P. R. China
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17
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Tang Z, Wang HQ, Chen J, Chang JD, Zhao FJ. Molecular mechanisms underlying the toxicity and detoxification of trace metals and metalloids in plants. JOURNAL OF INTEGRATIVE PLANT BIOLOGY 2023; 65:570-593. [PMID: 36546407 DOI: 10.1111/jipb.13440] [Citation(s) in RCA: 28] [Impact Index Per Article: 28.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 10/31/2022] [Accepted: 12/21/2022] [Indexed: 06/17/2023]
Abstract
Plants take up a wide range of trace metals/metalloids (hereinafter referred to as trace metals) from the soil, some of which are essential but become toxic at high concentrations (e.g., Cu, Zn, Ni, Co), while others are non-essential and toxic even at relatively low concentrations (e.g., As, Cd, Cr, Pb, and Hg). Soil contamination of trace metals is an increasing problem worldwide due to intensifying human activities. Trace metal contamination can cause toxicity and growth inhibition in plants, as well as accumulation in the edible parts to levels that threatens food safety and human health. Understanding the mechanisms of trace metal toxicity and how plants respond to trace metal stress is important for improving plant growth and food safety in contaminated soils. The accumulation of excess trace metals in plants can cause oxidative stress, genotoxicity, programmed cell death, and disturbance in multiple physiological processes. Plants have evolved various strategies to detoxify trace metals through cell-wall binding, complexation, vacuolar sequestration, efflux, and translocation. Multiple signal transduction pathways and regulatory responses are involved in plants challenged with trace metal stresses. In this review, we discuss the recent progress in understanding the molecular mechanisms involved in trace metal toxicity, detoxification, and regulation, as well as strategies to enhance plant resistance to trace metal stresses and reduce toxic metal accumulation in food crops.
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Affiliation(s)
- Zhong Tang
- State Key Laboratory of Crop Genetics and Germplasm Enhancement, College of Resources and Environmental Sciences, Nanjing Agricultural University, Nanjing, 210095, China
| | - Han-Qing Wang
- State Key Laboratory of Crop Genetics and Germplasm Enhancement, College of Resources and Environmental Sciences, Nanjing Agricultural University, Nanjing, 210095, China
| | - Jie Chen
- State Key Laboratory of Crop Genetics and Germplasm Enhancement, College of Resources and Environmental Sciences, Nanjing Agricultural University, Nanjing, 210095, China
| | - Jia-Dong Chang
- State Key Laboratory of Crop Genetics and Germplasm Enhancement, College of Resources and Environmental Sciences, Nanjing Agricultural University, Nanjing, 210095, China
| | - Fang-Jie Zhao
- State Key Laboratory of Crop Genetics and Germplasm Enhancement, College of Resources and Environmental Sciences, Nanjing Agricultural University, Nanjing, 210095, China
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18
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Tang L, Dong J, Qu M, Lv Q, Zhang L, Peng C, Hu Y, Li Y, Ji Z, Mao B, Peng Y, Shao Y, Zhao B. Knockout of OsNRAMP5 enhances rice tolerance to cadmium toxicity in response to varying external cadmium concentrations via distinct mechanisms. THE SCIENCE OF THE TOTAL ENVIRONMENT 2022; 832:155006. [PMID: 35381246 DOI: 10.1016/j.scitotenv.2022.155006] [Citation(s) in RCA: 21] [Impact Index Per Article: 10.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 11/02/2021] [Revised: 03/28/2022] [Accepted: 03/30/2022] [Indexed: 06/14/2023]
Abstract
OsNRAMP5 is a transporter responsible for cadmium (Cd) and manganese (Mn) uptake and root-to-shoot translocation of Mn in rice plants. Knockout of OsNRAMP5 is regarded as an effective approach to minimize Cd uptake and accumulation in rice. It is vital to evaluate the effects of knocking out OsNRAMP5 on Cd and Mn accumulation, as well as Cd tolerance of rice plants in response to varying environmental Cd concentrations, and to uncover the underlying mechanism, which until now, has remained largely unexplored. This study showed that knockout of OsNRAMP5 decreased Cd uptake, but simultaneously facilitated Cd translocation from roots to shoots. The effect of OsNRAMP5 knockout on reducing root Cd uptake weakened, however its effect on improving root-to-shoot Cd translocation was constant with increasing environmental Cd concentrations. As a result, its mutation dramatically reduced Cd accumulation in shoots under low and moderate Cd stress, but inversely increased that under high Cd conditions. Interestingly, Cd tolerance of its knockout mutants was persistently enhanced, irrespective of lower or higher Cd concentrations in shoots, compared with that of wild-type plants. Knockout of OsNRAMP5 mitigated Cd toxicity by dramatically diminishing Cd uptake at low or moderate external Cd concentrations. Remarkably, its knockout effectively complemented deficient mineral nutrients in shoots, thereby indirectly enhancing rice tolerance to severe Cd stress. Additionally, its mutation conferred preferential delivery of Mn to young leaves and grains. These results have important implications for the application of the OsNRAMP5 mutation in mitigating Cd toxicity and lowering the risk of excessive Cd accumulation in rice grains.
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Affiliation(s)
- Li Tang
- State Key Laboratory of Hybrid Rice, Hunan Hybrid Rice Research Center, Changsha 410125, China; Longping Branch of Graduate School, Hunan University, Changsha 410125, China
| | - Jiayu Dong
- Longping Branch of Graduate School, Hunan University, Changsha 410125, China
| | - Mengmeng Qu
- Key Laboratory of Agro-Ecological Processes in Subtropical Region, Institute of Subtropical Agriculture, Chinese Academy of Sciences, Changsha 410125, China
| | - Qiming Lv
- State Key Laboratory of Hybrid Rice, Hunan Hybrid Rice Research Center, Changsha 410125, China; Longping Branch of Graduate School, Hunan University, Changsha 410125, China
| | - Liping Zhang
- Key Laboratory of Agro-Ecological Processes in Subtropical Region, Institute of Subtropical Agriculture, Chinese Academy of Sciences, Changsha 410125, China
| | - Can Peng
- Key Laboratory of Agro-Ecological Processes in Subtropical Region, Institute of Subtropical Agriculture, Chinese Academy of Sciences, Changsha 410125, China
| | - Yuanyi Hu
- State Key Laboratory of Hybrid Rice, Hunan Hybrid Rice Research Center, Changsha 410125, China
| | - Yaokui Li
- State Key Laboratory of Hybrid Rice, Hunan Hybrid Rice Research Center, Changsha 410125, China
| | - Zhongying Ji
- Longping Branch of Graduate School, Hunan University, Changsha 410125, China
| | - Bigang Mao
- State Key Laboratory of Hybrid Rice, Hunan Hybrid Rice Research Center, Changsha 410125, China; Longping Branch of Graduate School, Hunan University, Changsha 410125, China
| | - Yan Peng
- State Key Laboratory of Hybrid Rice, Hunan Hybrid Rice Research Center, Changsha 410125, China
| | - Ye Shao
- State Key Laboratory of Hybrid Rice, Hunan Hybrid Rice Research Center, Changsha 410125, China
| | - Bingran Zhao
- State Key Laboratory of Hybrid Rice, Hunan Hybrid Rice Research Center, Changsha 410125, China; Longping Branch of Graduate School, Hunan University, Changsha 410125, China.
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19
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Allelic Diversification of the Wx and ALK Loci in Indica Restorer Lines and Their Utilisation in Hybrid Rice Breeding in China over the Last 50 Years. Int J Mol Sci 2022; 23:ijms23115941. [PMID: 35682619 PMCID: PMC9180661 DOI: 10.3390/ijms23115941] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/30/2022] [Revised: 05/21/2022] [Accepted: 05/23/2022] [Indexed: 01/02/2023] Open
Abstract
Hybrid rice technology has been used for more than 50 years, and eating and cooking quality (ECQ) has been a major focus throughout this period. Waxy (Wx) and alkaline denaturation (ALK) genes have received attention owing to their pivotal roles in determining rice characteristics. However, despite significant effort, the ECQ of restorer lines (RLs) has changed very little. By contrast, obvious changes have been seen in inbred rice varieties (IRVs), and the ECQ of IRVs is influenced by Wx, which reduces the proportion of Wxa and increases the proportion of Wxb, leading to a decrease in amylose content (AC) and an increase in ECQ. Meanwhile, ALK is not selected in the same way. We investigated Wx alleles and AC values of sterile lines of female parents with the main mating combinations in widely used areas. The results show that almost all sterile lines were Wxa-type with a high AC, which may explain the low ECQ of hybrid rice. Analysis of hybrid rice varieties and RLs in the last 5 years revealed serious homogenisation among hybrid rice varieties.
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20
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The Pid Family Has Been Diverged into Xian and Geng Type Resistance Genes against Rice Blast Disease. Genes (Basel) 2022; 13:genes13050891. [PMID: 35627276 PMCID: PMC9141787 DOI: 10.3390/genes13050891] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/19/2022] [Revised: 05/12/2022] [Accepted: 05/14/2022] [Indexed: 02/04/2023] Open
Abstract
Rice blast (the causative agent the fungus Magnaporthe oryzae) represents a major constraint on the productivity of one of the world’s most important staple food crops. Genes encoding resistance have been identified in both the Xian and Geng subspecies genepools, and combining these within new cultivars represents a rational means of combating the pathogen. In this research, deeper allele mining was carried out on Pid2, Pid3, and Pid4 via each comprehensive FNP marker set in three panels consisting of 70 Xian and 58 Geng cultivars. Within Pid2, three functional and one non-functional alleles were identified; the former were only identified in Xian type entries. At Pid3, four functional and one non-functional alleles were identified; once again, all of the former were present in Xian type entries. However, the pattern of variation at Pid4 was rather different: here, the five functional alleles uncovered were dispersed across the Geng type germplasm. Among all the twelve candidate functional alleles, both Pid2-ZS and Pid3-ZS were predominant. Furthermore, the resistance functions of both Pid2-ZS and Pid3-ZS were assured by transformation test. Profiting from the merits of three comprehensive FNP marker sets, the study has validated all three members of the Pid family as having been strictly diverged into Xian and Geng subspecies: Pid2 and Pid3 were defined as Xian type resistance genes, and Pid4 as Geng type. Rather limited genotypes of the Pid family have been effective in both Xian and Geng rice groups, of which Pid2-ZS_Pid3-ZS has been central to the Chinese rice population.
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21
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Long W, Luo L, Luo L, Xu W, Li Y, Cai Y, Xie H. Whole Genome Resequencing of 20 Accessions of Rice Landraces Reveals Javanica Genomic Structure Variation and Allelic Genotypes of a Grain Weight Gene TGW2. FRONTIERS IN PLANT SCIENCE 2022; 13:857435. [PMID: 35548287 PMCID: PMC9083905 DOI: 10.3389/fpls.2022.857435] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 01/18/2022] [Accepted: 03/01/2022] [Indexed: 06/15/2023]
Abstract
The landraces preserved by indigenous worldwide exhibited larger variation in the phenotypes and adaption to different environments, which suggests that they comprise rich resources and can be served as a gene pool for rice improvement. Despite extensive studies on cultivated rice, the variations and relationships between landraces and modern cultivated rice remain unclear. In this study, a total of 20 varieties that include 10 Oryza javanica collected from different countries worldwide and 10 Oryza indica from China were genotyped and yielded a sum of 99.9-Gb resequencing raw data. With the genomic sequence of the japonica cultivar Nipponbare as a reference, the following genetic features of single-nucleotide polymorphism (SNP) ranged from 861,177 to 1,044,617, insertion-deletion polymorphisms (InDels) ranged from 164,018 to 211,135, and structural variation (SV) ranged from 3,313 to 4,959 were identified in Oryza javanica. Variation between the two subspecies was also determined that 584,104 SNPs, 75,351 InDels, 104,606 SNPs, and 19,872 InDels specific to Oryza indica and Oryza javanica, respectively. Furthermore, Gene Ontology (GO) and KEGG of Oryza javanica-specific SNP-related genes revealed that they participated in DNA metabolic process, DNA replication, and DNA integration. The sequence variation and candidate grain shape-related gene TGW2 were identified through Fst and sweep selective analysis. Hap4 of TGW2 is performed better than others. The whole genome sequence data and genetic variation information illustrated in this study will serve as an important gene pool for molecular breeding and facilitate genetic analysis of Oryza javanica varieties.
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22
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Sun Y, Shang L, Zhu QH, Fan L, Guo L. Twenty years of plant genome sequencing: achievements and challenges. TRENDS IN PLANT SCIENCE 2022; 27:391-401. [PMID: 34782248 DOI: 10.1016/j.tplants.2021.10.006] [Citation(s) in RCA: 103] [Impact Index Per Article: 51.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 06/14/2021] [Revised: 09/15/2021] [Accepted: 10/18/2021] [Indexed: 05/27/2023]
Abstract
Publication of the complete genome sequence of Arabidopsis thaliana, the first plant reference genome, in December 2000 heralded the beginning of the plant genome era. Over the past 20 years reference genomes have been generated for hundreds of plant species, spanning non-vascular to flowering plants. Releasing these plant genomes has dramatically advanced studies in all disciplines of plant biology. Importantly, multiple reference-level genomes have been generated for the major crops and their progenitors, enabling the creation of pan-genomes and exploration of domestication history and natural variations that can be adopted by modern crop breeding. We summarize the progress of plant genome sequencing and the challenges of sequencing more complex plant genomes and generating pan-genomes.
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Affiliation(s)
- Yanqing Sun
- Institute of Crop Science and Institute of Bioinformatics, Zhejiang University, Hangzhou, China
| | - Lianguang Shang
- Shenzhen Branch, Guangdong Laboratory of Lingnan Modern Agriculture, Genome Analysis Laboratory of the Ministry of Agriculture and Rural Affairs, Agricultural Genomics Institute at Shenzhen, Chinese Academy of Agricultural Sciences, Shenzhen, China
| | - Qian-Hao Zhu
- CSIRO Agriculture and Food, Black Mountain Laboratories, Canberra, Australia
| | - Longjiang Fan
- Institute of Crop Science and Institute of Bioinformatics, Zhejiang University, Hangzhou, China; Zhejiang University City College School of Medicine, Hangzhou, China.
| | - Longbiao Guo
- State Key Laboratory for Rice Biology, China National Rice Research Institute, Chinese Academy of Agricultural Sciences, Hangzhou, China.
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23
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Whole-genome resequencing reveals genomic footprints of Italian sweet and hot pepper heirlooms giving insight into genes underlying key agronomic and qualitative traits. BMC Genom Data 2022; 23:21. [PMID: 35337259 PMCID: PMC8957157 DOI: 10.1186/s12863-022-01039-9] [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: 10/02/2021] [Accepted: 03/11/2022] [Indexed: 11/13/2022] Open
Abstract
Background Pepper is a major crop species of the Solanaceae family, largely appreciated for its high nutritional and healthy contribution to human diets. In the Mediterranean basin, the favorable pedoclimatic conditions enhanced the selection of several diversified landraces cultivated pepper (Capsicum annuum), for whom Italy can be considered a main pole of diversification. Hence, a survey of traditional C. annuum genetic resources is essential for deep understanding of such diversity and for applications in genomics assisted breeding. Here, we report whole-genome resequencing analyses of two sweet and two pungent genotypes highly diffused in South Italy and representative of the variability for shape, colour and nutritional properties. Results The four genomes were reconstructed at a chromosomal scale using a reference-guided approach, based on a dataset of 2.6 billion paired-end reads, corresponding to 20× genome coverage and a mapping rate above 99% for a final genomes size of approximately 3 Gb. After five iterations of variant calling, a total of 29,258,818 single nucleotide polymorphisms (SNPs) and 1,879,112 InDels, were identified. Substantial differences were observed among the four genomes based on geographical origin, with chromosomes 9 and 11 showing more polymorphisms in the accessions with higher fruit weight and absence of pungency. Among the identified variants, a small private indel (T - > TA) shared between sweet and big fruits accessions induces a frameshift with the generation of a new stop codon in a gene annotated as extensin, whereas two private SNPs within hot types were identified in 1-aminocyclopropane-1-carboxylate oxidase (ACO), a key gene involved in fruit ripening. The estimation of repetitive elements highlights a preponderant presence of Long Terminal Repeats (LTRs), the majority of which belonged to Gypsy superfamily. By comparing the four genomes with publicly available references including ‘CM334’ and Zunla-1 highlight the presence of 49,475 shared gene families. Conclusions The new genomic sequences aim to enrich the whole genome information of pepper local varieties, providing a valuable tool for precision gene mapping, marker discovery, comparative studies. Such knowledge widens the frontiers to understand the selection history of Italian pepper landraces toward the recognition of specificity local agri-food products marks. Supplementary Information The online version contains supplementary material available at 10.1186/s12863-022-01039-9.
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Wang P, Qi F, Yao H, Xu X, Li W, Meng J, Zhang Q, Xie W, Xing Y. Fixation of hybrid sterility genes and favorable alleles of key yield-related genes with dominance contribute to the high yield of the Yongyou series of intersubspecific hybrid rice. J Genet Genomics 2022; 49:448-457. [PMID: 35304326 DOI: 10.1016/j.jgg.2022.02.027] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/31/2021] [Revised: 02/12/2022] [Accepted: 02/20/2022] [Indexed: 11/16/2022]
Abstract
In rice, the Yongyou series of Xian-Geng intersubspecific hybrids have excellent production performance, as shown by their extremely high yield. However, the mechanisms underlying the success of these rice hybrids are unclear. In this study, three F2 populations are generated from three Yongyou hybrids to determine the genetic basis of the extremely high yield of intersubspecific hybrids. Genome constitution analysis reveals that the female and male parental lines belong to the Geng and Xian subspecies, respectively, although introgression of 20% of the Xian ancestry and 14% of the Geng ancestry are observed. Twenty-five percent of the hybrid genomes carries homozygous Xian or Geng fragments, which harbors hybrid sterility genes such as Sd, Sc, f5 and qS12 and favorable alleles of key yield-related genes, including NAL1, Ghd7 and Ghd8. None of the parents carries the S5+ killer of the S5 killer-protector system. Compatible allele combinations of hybrid sterility genes ensure the fertility of these intersubspecific hybrids and overcome the bottleneck in applying intersubspecific hybrids. Additive effects of favorable alleles of yield-related genes fixed in both parents enhances midparent values. Many QTLs for yield and its key component spikelets per panicle shows dominance and the net positive dominant effects lead to heterosis. These factors result in an extremely high yield of the hybrids. These findings will aid in the development of new intersubspecific rice hybrids with diverse genetic backgrounds.
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Affiliation(s)
- Pengfei Wang
- National Key Laboratory of Crop Genetic Improvement, Huazhong Agricultural University, Wuhan 430070, China
| | - Feixiang Qi
- National Key Laboratory of Crop Genetic Improvement, Huazhong Agricultural University, Wuhan 430070, China
| | - Honglin Yao
- National Key Laboratory of Crop Genetic Improvement, Huazhong Agricultural University, Wuhan 430070, China
| | - Xingbing Xu
- National Key Laboratory of Crop Genetic Improvement, Huazhong Agricultural University, Wuhan 430070, China
| | - Wenjun Li
- National Key Laboratory of Crop Genetic Improvement, Huazhong Agricultural University, Wuhan 430070, China
| | - Jianghu Meng
- National Key Laboratory of Crop Genetic Improvement, Huazhong Agricultural University, Wuhan 430070, China
| | - Qinglu Zhang
- National Key Laboratory of Crop Genetic Improvement, Huazhong Agricultural University, Wuhan 430070, China; Hubei Hongshan Laboratory, Wuhan 430070, China
| | - Weibo Xie
- National Key Laboratory of Crop Genetic Improvement, Huazhong Agricultural University, Wuhan 430070, China; Hubei Hongshan Laboratory, Wuhan 430070, China.
| | - Yongzhong Xing
- National Key Laboratory of Crop Genetic Improvement, Huazhong Agricultural University, Wuhan 430070, China; Hubei Hongshan Laboratory, Wuhan 430070, China.
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25
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Understanding the genetic and molecular constitutions of heterosis for developing hybrid rice. J Genet Genomics 2022; 49:385-393. [PMID: 35276387 DOI: 10.1016/j.jgg.2022.02.022] [Citation(s) in RCA: 19] [Impact Index Per Article: 9.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/07/2021] [Revised: 02/15/2022] [Accepted: 02/16/2022] [Indexed: 12/31/2022]
Abstract
The wide adoption of hybrid rice has greatly increased rice yield in the last several decades. The utilization of heterosis facilitated by male sterility has been a common strategy for hybrid rice development. Here, we summarize our efforts in the genetic and molecular understanding of heterosis and male sterility together with the related progress from other research groups. Analyses of F1 diallel crosses show that strong heterosis widely exists in hybrids of diverse germplasms, and inter-subspecific hybrids often display higher heterosis. Using the elite hybrid Shanyou 63 as a model, an immortalized F2 population design is conducted for systematic characterization of the biological mechanism of heterosis, with identification of loci controlling heterosis of yield and yield component traits. Dominance, overdominance, and epistasis all play important roles in the genetic basis of heterosis; quantitative assessment of these components well addressed the three classical genetic hypotheses for heterosis. Environment-sensitive genic male sterility (EGMS) enables the development of two-line hybrids, and long noncoding RNAs often function as regulators of EGMS. Inter-subspecific hybrids show greatly reduced fertility; the identification and molecular characterization of hybrid sterility genes offer strategies for overcoming inter-subspecific hybrid sterility. These developments have significant implications for future hybrid rice improvement using genomic breeding.
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Sun L, Wang R, Tang W, Chen Y, Zhou J, Ma H, Li S, Deng H, Han L, Chen Y, Tan Y, Zhu Y, Lin D, Zhu Q, Wang J, Huang D, Chen C. Robust identification of low-Cd rice varieties by boosting the genotypic effect of grain Cd accumulation in combination with marker-assisted selection. JOURNAL OF HAZARDOUS MATERIALS 2022; 424:127703. [PMID: 34799159 DOI: 10.1016/j.jhazmat.2021.127703] [Citation(s) in RCA: 12] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 09/01/2021] [Revised: 10/27/2021] [Accepted: 11/01/2021] [Indexed: 05/28/2023]
Abstract
Rice (Oryza sativa L.), a staple for half of the world's population, usually accumulates high levels of cadmium (Cd) in the grain when planted in the Cd-contaminated paddy fields. Genetic improvements using natural variation of grain-Cd accumulation is the most cost-effective way to mitigate the risk of excess Cd accumulation. However, as a complex trait, grain-Cd accumulation is susceptible to environmental variation, which challenges to characterize the genetic nature and subsequently the stable performance of grain-Cd accumulation. To boost the genetic effect on grain-Cd performance, we established an approach of normalization using the comparative grain-Cd value (CCd) following a contrasting field design. Identification of the genetic locus responsible for CCd variation help us develop a low-grain-Cd variety de novo, named 'Lushansimiao', which had lower grain-Cd levels in a large-scale field test and can produce Cd-safe rice following prolonged irrigations in the field with intermediate levels of Cd pollution. Combined CCd evaluating and low-Cd allelic genotyping, another six varieties were also identified as low-grain-Cd rice. Our study paves the way to efficiently quantify the genetic nature of grain-Cd accumulation in rice, and the stable low-Cd rice varieties will help to mitigate the risk of excess Cd accumulation in rice.
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Affiliation(s)
- Liang Sun
- Key Laboratory of Agro-Ecological Processes in Subtropical Region, Institute of Subtropical Agriculture, Chinese Academy of Sciences, Changsha 410125, China
| | - Ruigang Wang
- Agro-Environmental Protection Institute, Ministry of Agriculture and Rural Affairs, Tianjin 300191, China
| | - Wenbang Tang
- College of Agronomy, Hunan Agricultural University, Changsha 410128, China
| | - Yuchao Chen
- Key Laboratory of Agro-Ecological Processes in Subtropical Region, Institute of Subtropical Agriculture, Chinese Academy of Sciences, Changsha 410125, China; University of Chinese Academy of Science, Beijing 100049, China
| | - Jieqiang Zhou
- Key Laboratory of Agro-Ecological Processes in Subtropical Region, Institute of Subtropical Agriculture, Chinese Academy of Sciences, Changsha 410125, China; College of Agronomy, Hunan Agricultural University, Changsha 410128, China
| | - Haoran Ma
- Agro-Environmental Protection Institute, Ministry of Agriculture and Rural Affairs, Tianjin 300191, China
| | - Sai Li
- Key Laboratory of Agro-Ecological Processes in Subtropical Region, Institute of Subtropical Agriculture, Chinese Academy of Sciences, Changsha 410125, China; University of Chinese Academy of Science, Beijing 100049, China
| | - Hubing Deng
- College of Agronomy, Hunan Agricultural University, Changsha 410128, China
| | - Lei Han
- Agro-Environmental Protection Institute, Ministry of Agriculture and Rural Affairs, Tianjin 300191, China
| | - Yibo Chen
- Key Laboratory of Agro-Ecological Processes in Subtropical Region, Institute of Subtropical Agriculture, Chinese Academy of Sciences, Changsha 410125, China; College of Agronomy, Hunan Agricultural University, Changsha 410128, China
| | - Yongjun Tan
- Key Laboratory of Agro-Ecological Processes in Subtropical Region, Institute of Subtropical Agriculture, Chinese Academy of Sciences, Changsha 410125, China; University of Chinese Academy of Science, Beijing 100049, China
| | - Yuxing Zhu
- Key Laboratory of Agro-Ecological Processes in Subtropical Region, Institute of Subtropical Agriculture, Chinese Academy of Sciences, Changsha 410125, China
| | - Dasong Lin
- Agro-Environmental Protection Institute, Ministry of Agriculture and Rural Affairs, Tianjin 300191, China
| | - Qihong Zhu
- Key Laboratory of Agro-Ecological Processes in Subtropical Region, Institute of Subtropical Agriculture, Chinese Academy of Sciences, Changsha 410125, China
| | - Jiurong Wang
- Key Laboratory of Agro-Ecological Processes in Subtropical Region, Institute of Subtropical Agriculture, Chinese Academy of Sciences, Changsha 410125, China
| | - Daoyou Huang
- Key Laboratory of Agro-Ecological Processes in Subtropical Region, Institute of Subtropical Agriculture, Chinese Academy of Sciences, Changsha 410125, China
| | - Caiyan Chen
- Key Laboratory of Agro-Ecological Processes in Subtropical Region, Institute of Subtropical Agriculture, Chinese Academy of Sciences, Changsha 410125, China.
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Zhao FJ, Tang Z, Song JJ, Huang XY, Wang P. Toxic metals and metalloids: Uptake, transport, detoxification, phytoremediation, and crop improvement for safer food. MOLECULAR PLANT 2022; 15:27-44. [PMID: 34619329 DOI: 10.1016/j.molp.2021.09.016] [Citation(s) in RCA: 97] [Impact Index Per Article: 48.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 08/13/2021] [Revised: 09/24/2021] [Accepted: 09/29/2021] [Indexed: 05/20/2023]
Abstract
Agricultural soils are under threat of toxic metal/metalloid contamination from anthropogenic activities, leading to excessive accumulation of arsenic (As), cadmium (Cd), lead (Pb), and mercury (Hg) in food crops that poses significant risks to human health. Understanding how these toxic metals and their methylated species are taken up, translocated, and detoxified is prerequisite to developing strategies to limit their accumulation for safer food. Toxic metals are taken up and transported across different cellular compartments and plant tissues via various transporters for essential or beneficial nutrients, e.g. As by phosphate and silicon transporters, and Cd by manganese (Mn), zinc (Zn), and iron (Fe) transporters. These transport processes are subjected to interactions with nutrients and the regulation at the transcriptional and post-translational levels. Complexation with thiol-rich compounds, such as phytochelatins, and sequestration in the vacuoles are the common mechanisms for detoxification and for limiting their translocation. A number of genes involved in toxic metal uptake, transport, and detoxification have been identified, offering targets for genetic manipulation via gene editing or transgenic technologies. Natural variations in toxic metal accumulation exist within crop germplasm, and some of the quantitative trait loci underlying these variations have been cloned, paving the way for marker-assisted breeding of low metal accumulation crops. Using plants to extract and remove toxic metals from soil is also possible, but this phytoremediation approach requires metal hyperaccumulation for efficiency. Knowledge gaps and future research needs are also discussed.
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Affiliation(s)
- Fang-Jie Zhao
- State Key Laboratory of Crop Genetics and Germplasm Enhancement, College of Resources and Environmental Sciences, Nanjing Agricultural University, Nanjing, Jiangsu 210095, China.
| | - Zhong Tang
- State Key Laboratory of Crop Genetics and Germplasm Enhancement, College of Resources and Environmental Sciences, Nanjing Agricultural University, Nanjing, Jiangsu 210095, China
| | - Jia-Jun Song
- State Key Laboratory of Crop Genetics and Germplasm Enhancement, College of Resources and Environmental Sciences, Nanjing Agricultural University, Nanjing, Jiangsu 210095, China
| | - Xin-Yuan Huang
- State Key Laboratory of Crop Genetics and Germplasm Enhancement, College of Resources and Environmental Sciences, Nanjing Agricultural University, Nanjing, Jiangsu 210095, China
| | - Peng Wang
- State Key Laboratory of Crop Genetics and Germplasm Enhancement, College of Resources and Environmental Sciences, Nanjing Agricultural University, Nanjing, Jiangsu 210095, China
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Pucker B, Irisarri I, de Vries J, Xu B. Plant genome sequence assembly in the era of long reads: Progress, challenges and future directions. QUANTITATIVE PLANT BIOLOGY 2022; 3:e5. [PMID: 37077982 PMCID: PMC10095996 DOI: 10.1017/qpb.2021.18] [Citation(s) in RCA: 18] [Impact Index Per Article: 9.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 06/29/2021] [Revised: 11/24/2021] [Accepted: 12/21/2021] [Indexed: 05/03/2023]
Abstract
Third-generation long-read sequencing is transforming plant genomics. Oxford Nanopore Technologies and Pacific Biosciences are offering competing long-read sequencing technologies and enable plant scientists to investigate even large and complex plant genomes. Sequencing projects can be conducted by single research groups and sequences of smaller plant genomes can be completed within days. This also resulted in an increased investigation of genomes from multiple species in large scale to address fundamental questions associated with the origin and evolution of land plants. Increased accessibility of sequencing devices and user-friendly software allows more researchers to get involved in genomics. Current challenges are accurately resolving diploid or polyploid genome sequences and better accounting for the intra-specific diversity by switching from the use of single reference genome sequences to a pangenome graph.
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Affiliation(s)
- Boas Pucker
- Department of Plant Sciences, University of Cambridge, Cambridge, United Kingdom
- Institute of Plant Biology & Braunschweig Integrated Centre of Systems Biology (BRICS), TU Braunschweig, Braunschweig, Germany
- Author for correspondence: Boas Pucker E-mail:
| | - Iker Irisarri
- Department of Applied Bioinformatics, Institute for Microbiology and Genetics, University of Goettingen, Göttingen, Germany
- Campus Institute Data Science (CIDAS), University of Goettingen, Göttingen, Germany
| | - Jan de Vries
- Department of Applied Bioinformatics, Institute for Microbiology and Genetics, University of Goettingen, Göttingen, Germany
- Campus Institute Data Science (CIDAS), University of Goettingen, Göttingen, Germany
- Department of Applied Bioinformatics, Göttingen Center for Molecular Biosciences (GZMB), University of Goettingen, Göttingen, Germany
| | - Bo Xu
- State Key Laboratory of Systematic and Evolutionary Botany, Institute of Botany, Chinese Academy of Sciences, Beijing, China
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Chen R, Deng Y, Ding Y, Guo J, Qiu J, Wang B, Wang C, Xie Y, Zhang Z, Chen J, Chen L, Chu C, He G, He Z, Huang X, Xing Y, Yang S, Xie D, Liu Y, Li J. Rice functional genomics: decades' efforts and roads ahead. SCIENCE CHINA. LIFE SCIENCES 2022. [PMID: 34881420 DOI: 10.1007/s11427-021-2024-2020] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Subscribe] [Scholar Register] [Indexed: 04/28/2023]
Abstract
Rice (Oryza sativa L.) is one of the most important crops in the world. Since the completion of rice reference genome sequences, tremendous progress has been achieved in understanding the molecular mechanisms on various rice traits and dissecting the underlying regulatory networks. In this review, we summarize the research progress of rice biology over past decades, including omics, genome-wide association study, phytohormone action, nutrient use, biotic and abiotic responses, photoperiodic flowering, and reproductive development (fertility and sterility). For the roads ahead, cutting-edge technologies such as new genomics methods, high-throughput phenotyping platforms, precise genome-editing tools, environmental microbiome optimization, and synthetic methods will further extend our understanding of unsolved molecular biology questions in rice, and facilitate integrations of the knowledge for agricultural applications.
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Affiliation(s)
- Rongzhi Chen
- State Key Laboratory of Hybrid Rice, College of Life Sciences, Wuhan University, Wuhan, 430072, China
| | - Yiwen Deng
- National Key Laboratory of Plant Molecular Genetics, CAS Center for Excellence in Molecular Plant Sciences, Shanghai Institute of Plant Physiology & Ecology, Chinese Academy of Sciences, Shanghai, 200032, China
| | - Yanglin Ding
- State Key Laboratory of Plant Physiology and Biochemistry, College of Biological Sciences, China Agricultural University, Beijing, 100193, China
| | - Jingxin Guo
- State Key Laboratory for Conservation and Utilization of Subtropical Agro-Bioresources, South China Agricultural University, Guangzhou, 510642, China
| | - Jie Qiu
- Shanghai Key Laboratory of Plant Molecular Sciences, College of Life Sciences, Shanghai Normal University, Shanghai, 200234, China
| | - Bing Wang
- State Key Laboratory of Plant Genomics, Institute of Genetics and Developmental Biology, Innovation Academy for Seed Design, Chinese Academy of Sciences, Beijing, 100101, China
| | - Changsheng Wang
- National Center for Gene Research, Center of Excellence in Molecular Plant Sciences, Shanghai Institute of Plant Physiology and Ecology, Chinese Academy of Sciences, Shanghai, 200233, China
| | - Yongyao Xie
- State Key Laboratory for Conservation and Utilization of Subtropical Agro-Bioresources, South China Agricultural University, Guangzhou, 510642, China
| | - Zhihua Zhang
- College of Plant Science, Jilin University, Changchun, 130062, China
| | - Jiaxin Chen
- Shanghai Key Laboratory of Plant Molecular Sciences, College of Life Sciences, Shanghai Normal University, Shanghai, 200234, China
| | - Letian Chen
- State Key Laboratory for Conservation and Utilization of Subtropical Agro-Bioresources, South China Agricultural University, Guangzhou, 510642, China
| | - Chengcai Chu
- State Key Laboratory of Plant Genomics, Institute of Genetics and Developmental Biology, Innovation Academy for Seed Design, Chinese Academy of Sciences, Beijing, 100101, China
| | - Guangcun He
- State Key Laboratory of Hybrid Rice, College of Life Sciences, Wuhan University, Wuhan, 430072, China
| | - Zuhua He
- National Key Laboratory of Plant Molecular Genetics, CAS Center for Excellence in Molecular Plant Sciences, Shanghai Institute of Plant Physiology & Ecology, Chinese Academy of Sciences, Shanghai, 200032, China
| | - Xuehui Huang
- Shanghai Key Laboratory of Plant Molecular Sciences, College of Life Sciences, Shanghai Normal University, Shanghai, 200234, China
| | - Yongzhong Xing
- National Key Laboratory of Crop Genetic Improvement and National Centre of Plant Gene Research, Huazhong Agricultural University, Wuhan, 430070, China
| | - Shuhua Yang
- State Key Laboratory of Plant Physiology and Biochemistry, College of Biological Sciences, China Agricultural University, Beijing, 100193, China
| | - Daoxin Xie
- MOE Laboratory of Bioinformatics, School of Life Sciences, Tsinghua University, Beijing, 100084, China.
| | - Yaoguang Liu
- State Key Laboratory for Conservation and Utilization of Subtropical Agro-Bioresources, South China Agricultural University, Guangzhou, 510642, China.
| | - Jiayang Li
- State Key Laboratory of Plant Genomics, Institute of Genetics and Developmental Biology, Innovation Academy for Seed Design, Chinese Academy of Sciences, Beijing, 100101, China.
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30
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Rice functional genomics: decades' efforts and roads ahead. SCIENCE CHINA. LIFE SCIENCES 2021; 65:33-92. [PMID: 34881420 DOI: 10.1007/s11427-021-2024-0] [Citation(s) in RCA: 92] [Impact Index Per Article: 30.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 09/30/2021] [Accepted: 11/01/2021] [Indexed: 12/16/2022]
Abstract
Rice (Oryza sativa L.) is one of the most important crops in the world. Since the completion of rice reference genome sequences, tremendous progress has been achieved in understanding the molecular mechanisms on various rice traits and dissecting the underlying regulatory networks. In this review, we summarize the research progress of rice biology over past decades, including omics, genome-wide association study, phytohormone action, nutrient use, biotic and abiotic responses, photoperiodic flowering, and reproductive development (fertility and sterility). For the roads ahead, cutting-edge technologies such as new genomics methods, high-throughput phenotyping platforms, precise genome-editing tools, environmental microbiome optimization, and synthetic methods will further extend our understanding of unsolved molecular biology questions in rice, and facilitate integrations of the knowledge for agricultural applications.
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Gu Z, Zhu Z, Li Z, Zhan Q, Feng Q, Zhou C, Zhao Q, Zhao Y, Peng X, Dai B, Sun R, Li Y, Lu H, Zhang L, Huang T, Gong J, Lv D, Huang X, Han B. Cytoplasmic and nuclear genome variations of rice hybrids and their parents inform the trajectory and strategy of hybrid rice breeding. MOLECULAR PLANT 2021; 14:2056-2071. [PMID: 34390871 DOI: 10.1016/j.molp.2021.08.007] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 04/07/2021] [Revised: 07/06/2021] [Accepted: 08/06/2021] [Indexed: 06/13/2023]
Abstract
The male sterility (MS) line is a prerequisite for efficient production of hybrid seeds in rice, a self-pollinating species. MS line breeding is pivotal for hybrid rice improvement. Understanding the historical breeding trajectory will help to improve hybrid rice breeding strategies. Maternally inherited cytoplasm is an appropriate tool for phylogenetic reconstruction and pedigree tracing in rice hybrids. In this study, we analyzed the cytoplasmic genomes of 1495 elite hybrid rice varieties and identified five major types of cytoplasm, which correspond to different hybrid production systems. As the cytoplasm donors for hybrids, 461 MS lines were also divided into five major types based on cytoplasmic and nuclear genomic architecture. Specific core accessions cooperating with different fertility-associated genes drove the sequence divergence of MS lines. Dozens to hundreds of convergent and divergent selective sweeps spanning several agronomic trait-associated genes were identified among different types of MS lines. We further analyzed the cross patterns between different types of MS lines and their corresponding restorers. This study systematically analyzed the cytoplasmic genomes of rice hybrids revealed their relationships with nuclear genomes of MS lines, and illustrated the trajectory of hybrid rice breeding and the strategies for breeding different types of MS lines providing new insights for future improvement of hybrid rice.
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Affiliation(s)
- Zhoulin Gu
- National Center for Gene Research, State Key Laboratory of Plant Molecular Genetics, Center for Excellence in Molecular Plant Sciences, Institute of Plant Physiology and Ecology, Chinese Academy of Sciences, Shanghai 200233, China; University of Chinese Academy of Sciences, Beijing 100049, China
| | - Zhou Zhu
- National Center for Gene Research, State Key Laboratory of Plant Molecular Genetics, Center for Excellence in Molecular Plant Sciences, Institute of Plant Physiology and Ecology, Chinese Academy of Sciences, Shanghai 200233, China; University of Chinese Academy of Sciences, Beijing 100049, China
| | - Zhen Li
- National Center for Gene Research, State Key Laboratory of Plant Molecular Genetics, Center for Excellence in Molecular Plant Sciences, Institute of Plant Physiology and Ecology, Chinese Academy of Sciences, Shanghai 200233, China; College of Life Sciences, Anhui Normal University, Wuhu, Anhui 241000, China
| | - Qilin Zhan
- National Center for Gene Research, State Key Laboratory of Plant Molecular Genetics, Center for Excellence in Molecular Plant Sciences, Institute of Plant Physiology and Ecology, Chinese Academy of Sciences, Shanghai 200233, China
| | - Qi Feng
- National Center for Gene Research, State Key Laboratory of Plant Molecular Genetics, Center for Excellence in Molecular Plant Sciences, Institute of Plant Physiology and Ecology, Chinese Academy of Sciences, Shanghai 200233, China
| | - Congcong Zhou
- National Center for Gene Research, State Key Laboratory of Plant Molecular Genetics, Center for Excellence in Molecular Plant Sciences, Institute of Plant Physiology and Ecology, Chinese Academy of Sciences, Shanghai 200233, China
| | - Qiang Zhao
- National Center for Gene Research, State Key Laboratory of Plant Molecular Genetics, Center for Excellence in Molecular Plant Sciences, Institute of Plant Physiology and Ecology, Chinese Academy of Sciences, Shanghai 200233, China
| | - Yan Zhao
- National Center for Gene Research, State Key Laboratory of Plant Molecular Genetics, Center for Excellence in Molecular Plant Sciences, Institute of Plant Physiology and Ecology, Chinese Academy of Sciences, Shanghai 200233, China
| | - Xiaojian Peng
- National Center for Gene Research, State Key Laboratory of Plant Molecular Genetics, Center for Excellence in Molecular Plant Sciences, Institute of Plant Physiology and Ecology, Chinese Academy of Sciences, Shanghai 200233, China; School of Life Sciences, Anhui Agricultural University, Hefei, Anhui 230036, China
| | - Bingxin Dai
- National Center for Gene Research, State Key Laboratory of Plant Molecular Genetics, Center for Excellence in Molecular Plant Sciences, Institute of Plant Physiology and Ecology, Chinese Academy of Sciences, Shanghai 200233, China; School of Life Science and Technology, Shanghai Tech University, Shanghai 201210, China
| | - Rongrong Sun
- National Center for Gene Research, State Key Laboratory of Plant Molecular Genetics, Center for Excellence in Molecular Plant Sciences, Institute of Plant Physiology and Ecology, Chinese Academy of Sciences, Shanghai 200233, China; University of Chinese Academy of Sciences, Beijing 100049, China
| | - Yan Li
- National Center for Gene Research, State Key Laboratory of Plant Molecular Genetics, Center for Excellence in Molecular Plant Sciences, Institute of Plant Physiology and Ecology, Chinese Academy of Sciences, Shanghai 200233, China
| | - Hengyun Lu
- National Center for Gene Research, State Key Laboratory of Plant Molecular Genetics, Center for Excellence in Molecular Plant Sciences, Institute of Plant Physiology and Ecology, Chinese Academy of Sciences, Shanghai 200233, China
| | - Lei Zhang
- National Center for Gene Research, State Key Laboratory of Plant Molecular Genetics, Center for Excellence in Molecular Plant Sciences, Institute of Plant Physiology and Ecology, Chinese Academy of Sciences, Shanghai 200233, China
| | - Tao Huang
- National Center for Gene Research, State Key Laboratory of Plant Molecular Genetics, Center for Excellence in Molecular Plant Sciences, Institute of Plant Physiology and Ecology, Chinese Academy of Sciences, Shanghai 200233, China
| | - Junyi Gong
- State Key Laboratory of Rice Biology, China National Rice Research Institute, Chinese Academy of Agricultural Sciences, Hangzhou 310006, China
| | - Danfeng Lv
- National Center for Gene Research, State Key Laboratory of Plant Molecular Genetics, Center for Excellence in Molecular Plant Sciences, Institute of Plant Physiology and Ecology, Chinese Academy of Sciences, Shanghai 200233, China
| | - Xuehui Huang
- College of Life Sciences, Shanghai Normal University, Shanghai 200234, China
| | - Bin Han
- National Center for Gene Research, State Key Laboratory of Plant Molecular Genetics, Center for Excellence in Molecular Plant Sciences, Institute of Plant Physiology and Ecology, Chinese Academy of Sciences, Shanghai 200233, China.
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Zhou X, Nong C, Wu B, Zhou T, Zhang B, Liu X, Gao G, Mi J, Zhang Q, Liu H, Liu S, Li Z, He Y, Mou T, Guo S, Li S, Yang Y, Zhang Q, Xing Y. Combinations of Ghd7, Ghd8, and Hd1 determine strong heterosis of commercial rice hybrids in diverse ecological regions. JOURNAL OF EXPERIMENTAL BOTANY 2021; 72:6963-6976. [PMID: 34283218 DOI: 10.1093/jxb/erab344] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 03/22/2021] [Accepted: 07/20/2021] [Indexed: 06/13/2023]
Abstract
Heterosis of grain yield is closely associated with heading date in crops. Gene combinations of the major heading date genes Ghd7, Ghd8, and Hd1 play important roles in enhancing grain yield and adaptation to ecological regions in rice. However, the predominant three-gene combinations for a specific ecological region remain unclear in both three-line and two-line hybrids. In this study, we sequenced these three genes of 50 cytoplasmic male sterile/maintainer lines, 31 photo-thermo-sensitive genic male sterile lines, and 109 restorer lines. Sequence analysis showed that hybrids carrying strong functional alleles of Ghd7 and Hd1 and non-functional Ghd8 are predominant in three-line hybrids and are recommended for rice production in the subtropics around 30°N/S. Hybrids carrying strong functional Ghd7 and Ghd8 and non-functional Hd1 are predominant in two-line hybrids and are recommended for low latitude areas around 23.5°N/S rich in photothermal resources. Hybrids carrying strong functional Ghd7 and Ghd8 and functional Hd1 were not identified in commercial hybrids in the middle and lower reaches of the Yangtze River, but they have high yield potential in tropical regions because they have the strongest photoperiod sensitivity. Based on these findings, two genic sterile lines, Xiangling 628S and C815S, whose hybrids often head very late, were diagnosed with these three genes, and Hd1 was targeted to be knocked out in Xiangling 628S and replaced with hd1 in C815S. The hybrids developed from both modified sterile lines in turn had appropriate heading dates and significantly improved grain yield. This study provides new insights for breeding design to develop hybrids for various regions.
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Affiliation(s)
- Xiangchun Zhou
- National Key Laboratory of Crop Genetic Improvement, Huazhong Agricultural University, Wuhan 430070,China
| | - Chunxiao Nong
- National Key Laboratory of Crop Genetic Improvement, Huazhong Agricultural University, Wuhan 430070,China
| | - Bi Wu
- National Key Laboratory of Crop Genetic Improvement, Huazhong Agricultural University, Wuhan 430070,China
| | - Tianhao Zhou
- National Key Laboratory of Crop Genetic Improvement, Huazhong Agricultural University, Wuhan 430070,China
| | - Bo Zhang
- National Key Laboratory of Crop Genetic Improvement, Huazhong Agricultural University, Wuhan 430070,China
| | - Xingshao Liu
- National Key Laboratory of Crop Genetic Improvement, Huazhong Agricultural University, Wuhan 430070,China
| | - Guanjun Gao
- National Key Laboratory of Crop Genetic Improvement, Huazhong Agricultural University, Wuhan 430070,China
| | - Jiaming Mi
- National Key Laboratory of Crop Genetic Improvement, Huazhong Agricultural University, Wuhan 430070,China
| | - Qinglu Zhang
- National Key Laboratory of Crop Genetic Improvement, Huazhong Agricultural University, Wuhan 430070,China
| | - Haiyang Liu
- College of Agriculture, Yangtze University, Jingzhou 434023,China
| | - Shisheng Liu
- National Key Laboratory of Crop Genetic Improvement, Huazhong Agricultural University, Wuhan 430070,China
| | - Zhixin Li
- College of Agriculture, Yangtze University, Jingzhou 434023,China
| | - Yuqing He
- National Key Laboratory of Crop Genetic Improvement, Huazhong Agricultural University, Wuhan 430070,China
| | - Tongmin Mou
- National Key Laboratory of Crop Genetic Improvement, Huazhong Agricultural University, Wuhan 430070,China
| | - Sibin Guo
- Rice Research Institute, Guangxi Academy of Agricultural Sciences, Naning 530007,China
| | - Shaoqing Li
- College of Life Science, Wuhan University, Wuhan 430072,China
| | - Yuanzhu Yang
- Key Laboratory of Southern Rice Innovation & Improvement, Ministry of Agriculture and Rural Affairs, Hunan Engineering Laboratory of Disease and Pest Resistant Rice Breeding, Yuan Longping High-Tech Agriculture Co., Ltd, Changsha 410128,China
| | - Qifa Zhang
- National Key Laboratory of Crop Genetic Improvement, Huazhong Agricultural University, Wuhan 430070,China
| | - Yongzhong Xing
- National Key Laboratory of Crop Genetic Improvement, Huazhong Agricultural University, Wuhan 430070,China
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Volk GM, Byrne PF, Coyne CJ, Flint-Garcia S, Reeves PA, Richards C. Integrating Genomic and Phenomic Approaches to Support Plant Genetic Resources Conservation and Use. PLANTS (BASEL, SWITZERLAND) 2021; 10:2260. [PMID: 34834625 PMCID: PMC8619436 DOI: 10.3390/plants10112260] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 10/01/2021] [Revised: 10/20/2021] [Accepted: 10/20/2021] [Indexed: 05/17/2023]
Abstract
Plant genebanks provide genetic resources for breeding and research programs worldwide. These programs benefit from having access to high-quality, standardized phenotypic and genotypic data. Technological advances have made it possible to collect phenomic and genomic data for genebank collections, which, with the appropriate analytical tools, can directly inform breeding programs. We discuss the importance of considering genebank accession homogeneity and heterogeneity in data collection and documentation. Citing specific examples, we describe how well-documented genomic and phenomic data have met or could meet the needs of plant genetic resource managers and users. We explore future opportunities that may emerge from improved documentation and data integration among plant genetic resource information systems.
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Affiliation(s)
- Gayle M. Volk
- United States Department of Agriculture, Agricultural Research Service, National Laboratory for Genetic Resources Preservation, Fort Collins, CO 80521, USA; (P.A.R.); (C.R.)
| | - Patrick F. Byrne
- Department of Soil and Crop Sciences, Colorado State University, Fort Collins, CO 80523, USA;
| | - Clarice J. Coyne
- United States Department of Agriculture, Agricultural Research Service, Western Regional Plant Introduction Station, Pullman, WA 99164, USA;
| | - Sherry Flint-Garcia
- Plant Genetics Research Unit, United States Department of Agriculture, Agricultural Research Service, Columbia, MO 65211, USA;
| | - Patrick A. Reeves
- United States Department of Agriculture, Agricultural Research Service, National Laboratory for Genetic Resources Preservation, Fort Collins, CO 80521, USA; (P.A.R.); (C.R.)
| | - Chris Richards
- United States Department of Agriculture, Agricultural Research Service, National Laboratory for Genetic Resources Preservation, Fort Collins, CO 80521, USA; (P.A.R.); (C.R.)
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Wu J, Sun D, Zhao Q, Yong H, Zhang D, Hao Z, Zhou Z, Han J, Zhang X, Xu Z, Li X, Li M, Weng J. Transcriptome Reveals Allele Contribution to Heterosis in Maize. FRONTIERS IN PLANT SCIENCE 2021; 12:739072. [PMID: 34630491 PMCID: PMC8494984 DOI: 10.3389/fpls.2021.739072] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 07/10/2021] [Accepted: 09/06/2021] [Indexed: 06/13/2023]
Abstract
Heterosis, which has greatly increased maize yields, is associated with gene expression patterns during key developmental stages that enhance hybrid phenotypes relative to parental phenotypes. Before heterosis can be more effectively used for crop improvement, hybrid maize developmental gene expression patterns must be better understood. Here, six maize hybrids, including the popular hybrid Zhengdan958 (ZC) from China, were studied. Maize hybrids created in-house were generated using an incomplete diallel cross (NCII)-based strategy from four elite inbred parental lines. Differential gene expression (DEG) profiles corresponding to three developmental stages revealed that hybrid partial expression patterns exhibited complementarity of expression of certain parental genes, with parental allelic expression patterns varying both qualitatively and quantitatively in hybrids. Single-parent expression (SPE) and parent-specific expression (PSE) types of qualitative variation were most prevalent, 43.73 and 41.07% of variation, respectively. Meanwhile, negative super-dominance (NSD) and positive super-dominance (PSD) types of quantitative variation were most prevalent, 31.06 and 24.30% of variation, respectively. During the early reproductive growth stage, the gene expression pattern differed markedly from other developmental stage patterns, with allelic expression patterns during seed development skewed toward low-value parental alleles in hybrid seeds exhibiting significant quantitative variation-associated superiority. Comparisons of qualitative gene expression variation rates between ZC and other hybrids revealed proportions of SPE-DEGs (41.36%) in ZC seed DEGs that significantly exceeded the average proportion of SPE-DEGs found in seeds of other hybrids (28.36%). Importantly, quantitative gene expression variation rate comparisons between ZC and hybrids, except for transgressive expression, revealed that the ZC rate exceeded the average rate for other hybrids, highlighting the importance of partial gene expression in heterosis. Moreover, enriched ZC DEGs exhibiting distinct tissue-specific expression patterns belonged to four biological pathways, including photosynthesis, plant hormone signal transduction, biology metabolism and biosynthesis. These results provide valuable technical insights for creating hybrids exhibiting strong heterosis.
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Affiliation(s)
- Jianzhong Wu
- Institute of Crop Science, Chinese Academy of Agricultural Sciences, Beijing, China
- Institute of Forage and Grassland Sciences, Heilongjiang Academy of Agricultural Sciences, Harbin, China
| | - Dequan Sun
- Institute of Forage and Grassland Sciences, Heilongjiang Academy of Agricultural Sciences, Harbin, China
| | - Qian Zhao
- Institute of Crop Cultivation and Tillage, Heilongjiang Academy of Agricultural Sciences, Harbin, China
| | - Hongjun Yong
- Institute of Crop Science, Chinese Academy of Agricultural Sciences, Beijing, China
| | - Degui Zhang
- Institute of Crop Science, Chinese Academy of Agricultural Sciences, Beijing, China
| | - Zhuanfang Hao
- Institute of Crop Science, Chinese Academy of Agricultural Sciences, Beijing, China
| | - Zhiqiang Zhou
- Institute of Crop Science, Chinese Academy of Agricultural Sciences, Beijing, China
| | - Jienan Han
- Institute of Crop Science, Chinese Academy of Agricultural Sciences, Beijing, China
| | - Xiaocong Zhang
- Institute of Crop Science, Chinese Academy of Agricultural Sciences, Beijing, China
| | - Zhennan Xu
- Institute of Crop Science, Chinese Academy of Agricultural Sciences, Beijing, China
| | - Xinhai Li
- Institute of Crop Science, Chinese Academy of Agricultural Sciences, Beijing, China
| | - Mingshun Li
- Institute of Crop Science, Chinese Academy of Agricultural Sciences, Beijing, China
| | - Jianfeng Weng
- Institute of Crop Science, Chinese Academy of Agricultural Sciences, Beijing, China
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Gong Y, Yang K, Lin Z, Fang S, Wu X, Zhu R, Peng Y. Remote estimation of leaf area index (LAI) with unmanned aerial vehicle (UAV) imaging for different rice cultivars throughout the entire growing season. PLANT METHODS 2021; 17:88. [PMID: 34376195 PMCID: PMC8353786 DOI: 10.1186/s13007-021-00789-4] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 02/24/2021] [Accepted: 08/01/2021] [Indexed: 06/02/2023]
Abstract
BACKGROUND Rice is one of the most important grain crops worldwide. The accurate and dynamic monitoring of Leaf Area Index (LAI) provides important information to evaluate rice growth and production. METHODS This study explores a simple method to remotely estimate LAI with Unmanned Aerial Vehicle (UAV) imaging for a variety of rice cultivars throughout the entire growing season. Forty eight different rice cultivars were planted in the study site and field campaigns were conducted once a week. For each campaign, several widely used vegetation indices (VI) were calculated from canopy reflectance obtained by 12-band UAV images, canopy height was derived from UAV RGB images and LAI was destructively measured by plant sampling. RESULTS The results showed the correlation of VI and LAI in rice throughout the entire growing season was weak, and for all tested indices there existed significant hysteresis of VI vs. LAI relationship between rice pre-heading and post-heading stages. The model based on the product of VI and canopy height could reduce such hysteresis and estimate rice LAI of the whole season with estimation errors under 24%, not requiring algorithm re-parameterization for different phenology stages. CONCLUSIONS The progressing phenology can affect VI vs. LAI relationship in crops, especially for rice having quite different canopy spectra and structure after its panicle exsertion. Thus the models solely using VI to estimate rice LAI are phenology-specific and have high uncertainties for post-heading stages. The model developed in this study combines both remotely sensed canopy height and VI information, considerably improving rice LAI estimation at both pre- and post-heading stages. This method can be easily and efficiently implemented in UAV platforms for various rice cultivars during the entire growing season with no rice phenology and cultivar pre-knowledge, which has great potential for assisting rice breeding and field management studies at a large scale.
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Affiliation(s)
- Yan Gong
- School of Remote Sensing and Information Engineering, Wuhan University, Wuhan, China
- Lab for Remote Sensing of Crop Phenotyping, Wuhan University, Wuhan, China
| | - Kaili Yang
- School of Remote Sensing and Information Engineering, Wuhan University, Wuhan, China
| | - Zhiheng Lin
- School of Remote Sensing and Information Engineering, Wuhan University, Wuhan, China
| | - Shenghui Fang
- School of Remote Sensing and Information Engineering, Wuhan University, Wuhan, China
- Lab for Remote Sensing of Crop Phenotyping, Wuhan University, Wuhan, China
| | - Xianting Wu
- College of Life Sciences, Wuhan University, Wuhan, China
- Lab for Remote Sensing of Crop Phenotyping, Wuhan University, Wuhan, China
| | - Renshan Zhu
- College of Life Sciences, Wuhan University, Wuhan, China
- Lab for Remote Sensing of Crop Phenotyping, Wuhan University, Wuhan, China
| | - Yi Peng
- School of Remote Sensing and Information Engineering, Wuhan University, Wuhan, China.
- Lab for Remote Sensing of Crop Phenotyping, Wuhan University, Wuhan, China.
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Mao B, Zheng W, Huang Z, Peng Y, Shao Y, Liu C, Tang L, Hu Y, Li Y, Hu L, Zhang D, Yuan Z, Luo W, Yuan L, Liu Y, Zhao B. Rice MutLγ, the MLH1-MLH3 heterodimer, participates in the formation of type I crossovers and regulation of embryo sac fertility. PLANT BIOTECHNOLOGY JOURNAL 2021; 19:1443-1455. [PMID: 33544956 PMCID: PMC8313138 DOI: 10.1111/pbi.13563] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 12/03/2020] [Revised: 01/19/2021] [Accepted: 01/25/2021] [Indexed: 05/23/2023]
Abstract
The development of embryo sacs is crucial for seed production in plants, but the genetic basis regulating the meiotic crossover formation in the macrospore and microspore mother cells remains largely unclear. Here, we report the characterization of a spontaneous rice female sterile variation 1 mutant (fsv1) that showed severe embryo sacs abortion with low seed-setting rate. Through map-based cloning and functional analyses, we isolated the causal gene of fsv1, OsMLH3 encoding a MutL-homolog 3 protein, an ortholog of HvMLH3 in barley and AtMLH3 in Arabidopsis. OsMLH3 and OsMLH1 (MutL-homolog 1) interact to form a heterodimer (MutLγ) to promote crossover formation in the macrospore and microspore mother cells and development of functional megaspore during meiosis, defective OsMLH3 or OsMLH1 in fsv1 and CRISPR/Cas9-based knockout lines results in reduced type I crossover and bivalent frequency. The fsv1 and OsMLH3-knockout lines are valuable germplasms for development of female sterile restorer lines for mechanized seed production of hybrid rice.
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Affiliation(s)
- Bigang Mao
- State Key Laboratory of Hybrid RiceHunan Hybrid Rice Research CenterChangshaChina
- Long Ping BranchGraduate School of Hunan UniversityChangshaChina
| | - Wenjie Zheng
- Long Ping BranchGraduate School of Hunan UniversityChangshaChina
| | - Zhen Huang
- State Key Laboratory of Hybrid RiceHunan Hybrid Rice Research CenterChangshaChina
| | - Yan Peng
- State Key Laboratory of Hybrid RiceHunan Hybrid Rice Research CenterChangshaChina
| | - Ye Shao
- State Key Laboratory of Hybrid RiceHunan Hybrid Rice Research CenterChangshaChina
| | - Citao Liu
- College of AgriculturalHunan Agricultural UniversityChangshaChina
| | - Li Tang
- State Key Laboratory of Hybrid RiceHunan Hybrid Rice Research CenterChangshaChina
- Long Ping BranchGraduate School of Hunan UniversityChangshaChina
| | - Yuanyi Hu
- State Key Laboratory of Hybrid RiceHunan Hybrid Rice Research CenterChangshaChina
| | - Yaokui Li
- State Key Laboratory of Hybrid RiceHunan Hybrid Rice Research CenterChangshaChina
| | - Liming Hu
- Long Ping BranchGraduate School of Hunan UniversityChangshaChina
| | - Dan Zhang
- State Key Laboratory of Hybrid RiceHunan Hybrid Rice Research CenterChangshaChina
| | - Zhicheng Yuan
- State Key Laboratory of Hybrid RiceHunan Hybrid Rice Research CenterChangshaChina
| | - Wuzhong Luo
- State Key Laboratory of Hybrid RiceHunan Hybrid Rice Research CenterChangshaChina
| | - Longping Yuan
- State Key Laboratory of Hybrid RiceHunan Hybrid Rice Research CenterChangshaChina
| | - Yaoguang Liu
- State Key Laboratory for Conservation and Utilization of Subtropical Agro‐BioresourcesSouth China Agricultural UniversityGuangzhouChina
| | - Bingran Zhao
- State Key Laboratory of Hybrid RiceHunan Hybrid Rice Research CenterChangshaChina
- Long Ping BranchGraduate School of Hunan UniversityChangshaChina
- College of AgriculturalHunan Agricultural UniversityChangshaChina
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Ding Y, Zhang R, Zhu L, Wang M, Ma Y, Yuan D, Liu N, Hu H, Min L, Zhang X. An enhanced photosynthesis and carbohydrate metabolic capability contributes to heterosis of the cotton (Gossypium hirsutum) hybrid 'Huaza Mian H318', as revealed by genome-wide gene expression analysis. BMC Genomics 2021; 22:277. [PMID: 33865322 PMCID: PMC8052695 DOI: 10.1186/s12864-021-07580-8] [Citation(s) in RCA: 6] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/08/2020] [Accepted: 04/04/2021] [Indexed: 12/15/2022] Open
Abstract
Background Heterosis has been exploited for decades in different crops due to resulting in dramatic increases in yield, but relatively little molecular evidence on this topic was reported in cotton. Results The elite cotton hybrid variety ‘Huaza Mian H318’ (H318) and its parental lines were used to explore the source of its yield heterosis. A four-year investigation of yield-related traits showed that the boll number of H318 showed higher stability than that of its two parents, both in suitable and unsuitable climate years. In addition, the hybrid H318 grew faster and showed higher fresh and dry weights than its parental lines at the seedling stage. Transcriptome analysis of seedlings identified 17,308 differentially expressed genes (DEGs) between H318 and its parental lines, and 3490 extremely changed DEGs were screened out for later analysis. Most DEGs (3472/3490) were gathered between H318 and its paternal line (4–5), and only 64 DEGs were found between H318 and its maternal line (B0011), which implied that H318 displays more similar transcriptional patterns to its maternal parent at the seedling stage. GO and KEGG analyses showed that these DEGs were highly enriched in photosynthesis, lipid metabolic, carbohydrate metabolic and oxidation-reduction processes, and the expression level of these DEGs was significantly higher in H318 relative to its parental lines, which implied that photosynthesis, metabolism and stress resistances were enhanced in H318. Conclusion The enhanced photosynthesis, lipid and carbohydrate metabolic capabilities contribute to the heterosis of H318 at the seedling stage, and establishes a material foundation for subsequent higher boll-setting rates in complex field environments. Supplementary Information The online version contains supplementary material available at 10.1186/s12864-021-07580-8.
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Affiliation(s)
- Yuanhao Ding
- National Key Laboratory of Crop Genetic Improvement, Huazhong Agricultural University, Wuhan, 430070, China.,Hainan Key Laboratory for Sustainable Utilization of Tropical Bioresource, College of Tropical Crops, Hainan University, Haikou, 572208, China
| | - Rui Zhang
- National Key Laboratory of Crop Genetic Improvement, Huazhong Agricultural University, Wuhan, 430070, China
| | - Longfu Zhu
- National Key Laboratory of Crop Genetic Improvement, Huazhong Agricultural University, Wuhan, 430070, China
| | - Maojun Wang
- National Key Laboratory of Crop Genetic Improvement, Huazhong Agricultural University, Wuhan, 430070, China
| | - Yizan Ma
- National Key Laboratory of Crop Genetic Improvement, Huazhong Agricultural University, Wuhan, 430070, China
| | - Daojun Yuan
- National Key Laboratory of Crop Genetic Improvement, Huazhong Agricultural University, Wuhan, 430070, China
| | - Nian Liu
- National Key Laboratory of Crop Genetic Improvement, Huazhong Agricultural University, Wuhan, 430070, China
| | - Haiyan Hu
- National Key Laboratory of Crop Genetic Improvement, Huazhong Agricultural University, Wuhan, 430070, China.,Hainan Key Laboratory for Sustainable Utilization of Tropical Bioresource, College of Tropical Crops, Hainan University, Haikou, 572208, China
| | - Ling Min
- National Key Laboratory of Crop Genetic Improvement, Huazhong Agricultural University, Wuhan, 430070, China.
| | - Xianlong Zhang
- National Key Laboratory of Crop Genetic Improvement, Huazhong Agricultural University, Wuhan, 430070, China
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38
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Wang A, Jiang Y, Shu X, Zha Z, Yin D, Liu Y, Zhang D, Xu D, Jiao C, Jia X, Ye X, Li S, Deng Q, Wang S, Zhu J, Liang Y, Zou T, Liu H, Wang L, Zhu J, Li P, Zhang Z, Zheng A. Genome-wide association study-based identification genes influencing agronomic traits in rice (Oryza sativa L.). Genomics 2021; 113:1396-1406. [PMID: 33711454 DOI: 10.1016/j.ygeno.2021.03.016] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/19/2020] [Revised: 01/19/2021] [Accepted: 03/07/2021] [Indexed: 11/20/2022]
Abstract
Rice is one of the most important cereal crops, providing the daily dietary intake for approximately 50% of the global human population. Here, we re-sequenced 259 rice accessions, generating 1371.65 Gb of raw data. Furthermore, we performed genome-wide association studies (GWAS) on 13 agronomic traits using 2.8 million single nucleotide polymorphisms (SNPs) characterized in 259 rice accessions. Phenotypic data and best linear unbiased prediction (BLUP) values of each of the 13 traits over two years of each trait were used for the GWAS. The results showed that 816 SNP signals were significantly associated with the 13 agronomic traits. Then we detected candidate genes related to target traits within 200 kb upstream and downstream of the associated SNP loci, based on linkage disequilibrium (LD) blocks in the whole rice genome. These candidate genes were further identified through haplotype block constructions. This comprehensive study provides a timely and important genomic resource for breeding high yielding rice cultivars.
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Affiliation(s)
- Aijun Wang
- College of Agronomy, Sichuan Agricultural University, Chengdu, China; State Key Laboratory of Crop Gene Exploration and Utilization in Southwest China, Chengdu, China; Rice Research Institute of Sichuan Agricultural University, Chengdu, China
| | - Yuqi Jiang
- College of Agronomy, Sichuan Agricultural University, Chengdu, China; State Key Laboratory of Crop Gene Exploration and Utilization in Southwest China, Chengdu, China; Rice Research Institute of Sichuan Agricultural University, Chengdu, China
| | - Xinyue Shu
- College of Agronomy, Sichuan Agricultural University, Chengdu, China; State Key Laboratory of Crop Gene Exploration and Utilization in Southwest China, Chengdu, China; Rice Research Institute of Sichuan Agricultural University, Chengdu, China
| | - Zhongping Zha
- Food Crop Institute, Hubei Academy of Agricultural Sciences, Wuhan, China
| | - Desuo Yin
- Food Crop Institute, Hubei Academy of Agricultural Sciences, Wuhan, China
| | - Yao Liu
- College of Agronomy, Sichuan Agricultural University, Chengdu, China
| | - Danhua Zhang
- College of Agronomy, Sichuan Agricultural University, Chengdu, China
| | - Deze Xu
- Food Crop Institute, Hubei Academy of Agricultural Sciences, Wuhan, China
| | - Chengzhi Jiao
- Novogene Bioinformatics Institute, Beijing 100083, China
| | - Xiaomei Jia
- Rice Research Institute of Sichuan Agricultural University, Chengdu, China
| | - Xiaoying Ye
- Rice Research Institute of Sichuan Agricultural University, Chengdu, China
| | - Shuangcheng Li
- Rice Research Institute of Sichuan Agricultural University, Chengdu, China
| | - Qiming Deng
- Rice Research Institute of Sichuan Agricultural University, Chengdu, China
| | - Shiquan Wang
- Rice Research Institute of Sichuan Agricultural University, Chengdu, China
| | - Jun Zhu
- Rice Research Institute of Sichuan Agricultural University, Chengdu, China
| | - Yueyang Liang
- Rice Research Institute of Sichuan Agricultural University, Chengdu, China
| | - Ting Zou
- Rice Research Institute of Sichuan Agricultural University, Chengdu, China
| | - Huainian Liu
- Rice Research Institute of Sichuan Agricultural University, Chengdu, China
| | - Lingxia Wang
- Rice Research Institute of Sichuan Agricultural University, Chengdu, China
| | - Jianqing Zhu
- Rice Research Institute of Sichuan Agricultural University, Chengdu, China
| | - Ping Li
- Rice Research Institute of Sichuan Agricultural University, Chengdu, China
| | - Zaijun Zhang
- Food Crop Institute, Hubei Academy of Agricultural Sciences, Wuhan, China.
| | - Aiping Zheng
- College of Agronomy, Sichuan Agricultural University, Chengdu, China; State Key Laboratory of Crop Gene Exploration and Utilization in Southwest China, Chengdu, China; Rice Research Institute of Sichuan Agricultural University, Chengdu, China.
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39
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Thudi M, Palakurthi R, Schnable JC, Chitikineni A, Dreisigacker S, Mace E, Srivastava RK, Satyavathi CT, Odeny D, Tiwari VK, Lam HM, Hong YB, Singh VK, Li G, Xu Y, Chen X, Kaila S, Nguyen H, Sivasankar S, Jackson SA, Close TJ, Shubo W, Varshney RK. Genomic resources in plant breeding for sustainable agriculture. JOURNAL OF PLANT PHYSIOLOGY 2021; 257:153351. [PMID: 33412425 PMCID: PMC7903322 DOI: 10.1016/j.jplph.2020.153351] [Citation(s) in RCA: 45] [Impact Index Per Article: 15.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 11/20/2020] [Revised: 12/14/2020] [Accepted: 12/14/2020] [Indexed: 05/19/2023]
Abstract
Climate change during the last 40 years has had a serious impact on agriculture and threatens global food and nutritional security. From over half a million plant species, cereals and legumes are the most important for food and nutritional security. Although systematic plant breeding has a relatively short history, conventional breeding coupled with advances in technology and crop management strategies has increased crop yields by 56 % globally between 1965-85, referred to as the Green Revolution. Nevertheless, increased demand for food, feed, fiber, and fuel necessitates the need to break existing yield barriers in many crop plants. In the first decade of the 21st century we witnessed rapid discovery, transformative technological development and declining costs of genomics technologies. In the second decade, the field turned towards making sense of the vast amount of genomic information and subsequently moved towards accurately predicting gene-to-phenotype associations and tailoring plants for climate resilience and global food security. In this review we focus on genomic resources, genome and germplasm sequencing, sequencing-based trait mapping, and genomics-assisted breeding approaches aimed at developing biotic stress resistant, abiotic stress tolerant and high nutrition varieties in six major cereals (rice, maize, wheat, barley, sorghum and pearl millet), and six major legumes (soybean, groundnut, cowpea, common bean, chickpea and pigeonpea). We further provide a perspective and way forward to use genomic breeding approaches including marker-assisted selection, marker-assisted backcrossing, haplotype based breeding and genomic prediction approaches coupled with machine learning and artificial intelligence, to speed breeding approaches. The overall goal is to accelerate genetic gains and deliver climate resilient and high nutrition crop varieties for sustainable agriculture.
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Affiliation(s)
- Mahendar Thudi
- Center of Excellence in Genomics & Systems Biology, International Crops Research Institute for the Semi-Arid Tropics (ICRISAT), Hyderabad, India; University of Southern Queensland, Toowoomba, Australia
| | - Ramesh Palakurthi
- Center of Excellence in Genomics & Systems Biology, International Crops Research Institute for the Semi-Arid Tropics (ICRISAT), Hyderabad, India
| | | | - Annapurna Chitikineni
- Center of Excellence in Genomics & Systems Biology, International Crops Research Institute for the Semi-Arid Tropics (ICRISAT), Hyderabad, India
| | | | - Emma Mace
- Agri-Science Queensland, Department of Agriculture & Fisheries (DAF), Warwick, Australia
| | - Rakesh K Srivastava
- Center of Excellence in Genomics & Systems Biology, International Crops Research Institute for the Semi-Arid Tropics (ICRISAT), Hyderabad, India
| | - C Tara Satyavathi
- Indian Council of Agricultural Research (ICAR)- Indian Agricultural Research Institute (IARI), New Delhi, India
| | - Damaris Odeny
- International Crops Research Institute for the Semi-Arid Tropics (ICRISAT), Nairobi, Kenya
| | | | - Hon-Ming Lam
- Center for Soybean Research of the State Key Laboratory of Agrobiotechnology and School of Life Sciences, The Chinese University of Hong Kong, Shatin, Hong Kong Special Administrative Region
| | - Yan Bin Hong
- Crops Research Institute, Guangdong Academy of Agricultural Sciences, Guangzhou, China
| | - Vikas K Singh
- South Asia Hub, International Rice Research Institute (IRRI), Hyderabad, India
| | - Guowei Li
- Shandong Academy of Agricultural Sciences, Jinan, China
| | - Yunbi Xu
- International Maize and Wheat Improvement Center (CYMMIT), Mexico DF, Mexico; Chinese Academy of Agricultural Sciences, Beijing, China
| | - Xiaoping Chen
- Crops Research Institute, Guangdong Academy of Agricultural Sciences, Guangzhou, China
| | - Sanjay Kaila
- Department of Biotechnology, Ministry of Science and Technology, Government of India, India
| | - Henry Nguyen
- National Centre for Soybean Research, University of Missouri, Columbia, USA
| | - Sobhana Sivasankar
- Joint FAO/IAEA Division of Nuclear Techniques in Food and Agriculture, Vienna, Austria
| | | | | | - Wan Shubo
- Shandong Academy of Agricultural Sciences, Jinan, China
| | - Rajeev K Varshney
- Center of Excellence in Genomics & Systems Biology, International Crops Research Institute for the Semi-Arid Tropics (ICRISAT), Hyderabad, India.
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