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Fu C, Ma C, Zhu M, Liu W, Ma X, Li J, Liao Y, Liu D, Gu X, Wang H, Wang F. Transcriptomic and methylomic analyses provide insights into the molecular mechanism and prediction of heterosis in rice. THE PLANT JOURNAL : FOR CELL AND MOLECULAR BIOLOGY 2023; 115:139-154. [PMID: 36995901 DOI: 10.1111/tpj.16217] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 09/01/2022] [Revised: 03/14/2023] [Accepted: 03/24/2023] [Indexed: 06/19/2023]
Abstract
Heterosis has been widely used in multiple crops. However, the molecular mechanism and prediction of heterosis remains elusive. We generated five F1 hybrids [four showing better-parent heterosis (BPH) and one showing mid-parent heterosis], and performed the transcriptomic and methylomic analyses to identify the candidate genes for BPH and explore the molecular mechanism of heterosis and the potential predictors for heterosis. Transcriptomic results showed that most of the differentially expressed genes shared in the four better-parent hybrids were significantly enriched into the terms of molecular function, and the additive and dominant effects played crucial roles for BPH. DNA methylation level, especially in CG context, significantly and positively correlated with grain yield per plant. The ratios of differentially methylated regions in CG context in exons to transcription start sites between the parents exhibited significantly negative correlation with the heterosis levels of their hybrids, as was further confirmed in 24 pairwise comparisons of other rice lines, implying that this ratio could be a feasible predictor for heterosis level, and this ratio of less than 5 between parents in early growth stages might be a critical index for judging that their F1 hybrids would show BPH. Additionally, we identified some important genes showing differential expression and methylation, such as OsDCL2, Pi5, DTH2, DTH8, Hd1 and GLW7 in the four better-parent hybrids as the candidate genes for BPH. Our findings helped shed more light on the molecular mechanism and heterosis prediction.
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Affiliation(s)
- Chongyun Fu
- Rice Research Institute, Guangdong Academy of Agricultural Sciences, Guangzhou, China
- Guangdong Key Laboratory of New Technology in Rice Breeding, Guangzhou, China
- Guangdong Rice Engineering Laboratory, Guangzhou, China
- Key Laboratory of Genetics and Breeding of High Quality Rice in Southern China, Ministry of Agriculture and Rural Affairs Beijing, China
| | - Ce Ma
- Novogene Biotechnology Inc, Beijing, China
| | - Manshan Zhu
- Rice Research Institute, Guangdong Academy of Agricultural Sciences, Guangzhou, China
- Guangdong Key Laboratory of New Technology in Rice Breeding, Guangzhou, China
- Guangdong Rice Engineering Laboratory, Guangzhou, China
- Key Laboratory of Genetics and Breeding of High Quality Rice in Southern China, Ministry of Agriculture and Rural Affairs Beijing, China
| | - Wuge Liu
- Rice Research Institute, Guangdong Academy of Agricultural Sciences, Guangzhou, China
- Guangdong Key Laboratory of New Technology in Rice Breeding, Guangzhou, China
- Guangdong Rice Engineering Laboratory, Guangzhou, China
- Key Laboratory of Genetics and Breeding of High Quality Rice in Southern China, Ministry of Agriculture and Rural Affairs Beijing, China
| | - Xiaozhi Ma
- Rice Research Institute, Guangdong Academy of Agricultural Sciences, Guangzhou, China
- Guangdong Key Laboratory of New Technology in Rice Breeding, Guangzhou, China
- Guangdong Rice Engineering Laboratory, Guangzhou, China
- Key Laboratory of Genetics and Breeding of High Quality Rice in Southern China, Ministry of Agriculture and Rural Affairs Beijing, China
| | - Jinhua Li
- Rice Research Institute, Guangdong Academy of Agricultural Sciences, Guangzhou, China
- Guangdong Key Laboratory of New Technology in Rice Breeding, Guangzhou, China
- Guangdong Rice Engineering Laboratory, Guangzhou, China
- Key Laboratory of Genetics and Breeding of High Quality Rice in Southern China, Ministry of Agriculture and Rural Affairs Beijing, China
| | - Yilong Liao
- Rice Research Institute, Guangdong Academy of Agricultural Sciences, Guangzhou, China
- Guangdong Key Laboratory of New Technology in Rice Breeding, Guangzhou, China
- Guangdong Rice Engineering Laboratory, Guangzhou, China
- Key Laboratory of Genetics and Breeding of High Quality Rice in Southern China, Ministry of Agriculture and Rural Affairs Beijing, China
| | - Dilin Liu
- Rice Research Institute, Guangdong Academy of Agricultural Sciences, Guangzhou, China
- Guangdong Key Laboratory of New Technology in Rice Breeding, Guangzhou, China
- Guangdong Rice Engineering Laboratory, Guangzhou, China
- Key Laboratory of Genetics and Breeding of High Quality Rice in Southern China, Ministry of Agriculture and Rural Affairs Beijing, China
| | - Xiaofeng Gu
- Biotechnology Research Institute, Chinese Academy of Agricultural Sciences, Beijing, China
| | - Haiyang Wang
- State Key Laboratory for Conservation and Utilization of Subtropical Agro-Bioresources, South China Agricultural University, Guangzhou, 510642, China
| | - Feng Wang
- Rice Research Institute, Guangdong Academy of Agricultural Sciences, Guangzhou, China
- Guangdong Key Laboratory of New Technology in Rice Breeding, Guangzhou, China
- Guangdong Rice Engineering Laboratory, Guangzhou, China
- Key Laboratory of Genetics and Breeding of High Quality Rice in Southern China, Ministry of Agriculture and Rural Affairs Beijing, China
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Zhang F, Zhang C, Zhao X, Zhu S, Chen K, Zhou G, Wu Z, Li M, Zheng T, Wang W, Yan Z, Fei Q, Li Z, Chen J, Xu J. Genomic Architecture of Yield Performance of an Elite Rice Hybrid Revealed by its Derived Recombinant Inbred Line and Their Backcross Hybrid Populations. RICE (NEW YORK, N.Y.) 2022; 15:49. [PMID: 36181551 PMCID: PMC9526777 DOI: 10.1186/s12284-022-00595-z] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 08/12/2022] [Accepted: 09/17/2022] [Indexed: 06/16/2023]
Abstract
BACKGROUND Since its development and wide adoption in China, hybrid rice has reached the yield plateau for more than three decades. To understand the genetic basis of heterosis in rice and accelerate hybrid rice breeding, the yield performances of the elite rice hybrid, Quan-you-si-miao (QYSM) were genetically dissected by whole-genome sequencing, large-scale phenotyping of 1061 recombined inbred lines (RILs) and 1061 backcross F1 (BCF1) hybrids derived from QYSM's parents across three environments and gene-based analyses. RESULTS Genome-wide scanning of 13,847 segregating genes between the parents and linkage mapping based on 855 bins across the rice genome and phenotyping experiments across three environments resulted in identification of large numbers of genes, 639 main-effect QTLs (M-QTLs) and 2736 epistatic QTLs with significant additive or heterotic effects on the trait performances of the combined population consisting of RILs and BCF1 hybrids, most of which were environment-specific. The 324 M-QTLs affecting yield components included 32.7% additive QTLs, 38.0% over-dominant or dominant ones with strong and positive effects and 29.3% under-dominant or incomplete recessive ones with significant negative heterotic effects. 63.6% of 1403 genes with allelic introgression from subspecies japonica/Geng in the parents of QYSM may have contributed significantly to the enhanced yield performance of QYSM. CONCLUSIONS The parents of QYSM and related rice hybrids in China carry disproportionally more additive and under-dominant genes/QTLs affecting yield traits. Further focus in indica/Xian rice breeding should shift back to improving inbred varieties, while breaking yield ceiling of Xian hybrids can be achieved by one or combinations of the three strategies: (1) by pyramiding favorable alleles of additive genes, (2) by eliminating or minimizing under-dominant loci, and (3) by pyramiding overdominant/dominant genes polymorphic, particularly those underlying inter-subspecific heterosis.
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Affiliation(s)
- Fan Zhang
- Institute of Crop Sciences/National Key Facility for Crop Gene Resources and Genetic Improvement, Chinese Academy of Agricultural Sciences, Beijing, 100081, China
- College of Agronomy, Anhui Agricultural University, Hefei, 230036, Anhui, China
| | - Conghe Zhang
- Winall Hi-Tech Seed Co., Ltd., Hefei, 230088, Anhui, China
| | - Xiuqin Zhao
- Institute of Crop Sciences/National Key Facility for Crop Gene Resources and Genetic Improvement, Chinese Academy of Agricultural Sciences, Beijing, 100081, China
| | - Shuangbing Zhu
- Shenzhen Branch, Guangdong Laboratory for Lingnan Modern Agriculture, Agricultural Genomics Institute at Shenzhen, Chinese Academy of Agricultural Sciences, Shenzhen, Guangzhou, 518120, China
| | - Kai Chen
- Shenzhen Branch, Guangdong Laboratory for Lingnan Modern Agriculture, Agricultural Genomics Institute at Shenzhen, Chinese Academy of Agricultural Sciences, Shenzhen, Guangzhou, 518120, China
| | - Guixiang Zhou
- Winall Hi-Tech Seed Co., Ltd., Hefei, 230088, Anhui, China
| | - Zhichao Wu
- Institute of Crop Sciences/National Key Facility for Crop Gene Resources and Genetic Improvement, Chinese Academy of Agricultural Sciences, Beijing, 100081, China
| | - Min Li
- College of Agronomy, Anhui Agricultural University, Hefei, 230036, Anhui, China
| | - Tianqing Zheng
- Institute of Crop Sciences/National Key Facility for Crop Gene Resources and Genetic Improvement, Chinese Academy of Agricultural Sciences, Beijing, 100081, China
| | - Wensheng Wang
- Institute of Crop Sciences/National Key Facility for Crop Gene Resources and Genetic Improvement, Chinese Academy of Agricultural Sciences, Beijing, 100081, China
- College of Agronomy, Anhui Agricultural University, Hefei, 230036, Anhui, China
| | - Zhi Yan
- Winall Hi-Tech Seed Co., Ltd., Hefei, 230088, Anhui, China
| | - Qinyong Fei
- Winall Hi-Tech Seed Co., Ltd., Hefei, 230088, Anhui, China
| | - Zhikang Li
- Institute of Crop Sciences/National Key Facility for Crop Gene Resources and Genetic Improvement, Chinese Academy of Agricultural Sciences, Beijing, 100081, China.
- College of Agronomy, Anhui Agricultural University, Hefei, 230036, Anhui, China.
- Shenzhen Branch, Guangdong Laboratory for Lingnan Modern Agriculture, Agricultural Genomics Institute at Shenzhen, Chinese Academy of Agricultural Sciences, Shenzhen, Guangzhou, 518120, China.
| | - Jinjie Chen
- Winall Hi-Tech Seed Co., Ltd., Hefei, 230088, Anhui, China.
| | - Jianlong Xu
- Institute of Crop Sciences/National Key Facility for Crop Gene Resources and Genetic Improvement, Chinese Academy of Agricultural Sciences, Beijing, 100081, China.
- Shenzhen Branch, Guangdong Laboratory for Lingnan Modern Agriculture, Agricultural Genomics Institute at Shenzhen, Chinese Academy of Agricultural Sciences, Shenzhen, Guangzhou, 518120, China.
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Yue L, Sun R, Li G, Cheng F, Gao L, Wang Q, Zhang S, Zhang H, Zhang S, Li F. Genetic dissection of heterotic loci associated with plant weight by Graded pool-seq in heading Chinese cabbage (Brassica rapa). PLANTA 2022; 255:126. [PMID: 35575830 DOI: 10.1007/s00425-022-03880-9] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 12/23/2021] [Accepted: 03/19/2022] [Indexed: 06/15/2023]
Abstract
Four heterotic QTL and a heterozygous segment for plant weight were identified by Graded Pool-Seq, QTL-seq and traditional genetic linkage analysis in heading Chinese cabbage. Heading Chinese cabbage (Brassica rapa L. spp. pekinensis) is a cross-pollinated leafy vegetable with significant heterosis. The use of heterosis is important for breeding high-yield Chinese cabbage hybrids. However, the formation and mechanism of heterosis have not been studied. We dissected the molecular mechanism of heterosis of yield-related traits in Chinese cabbage. An F1 hybrid with high-parent heterosis of yield-related traits was selected and self-pollinated to generate segregating F2 populations. QTL-seq, Graded Pool-seq (GPS), and traditional genetic linkage analysis were used to identify four heterotic quantitative trait loci (QTL) for plant weight: qPW1.1, qPW5.1, qPW7.1, and qPW8.1. Traditional genetic linkage analysis over two years showed that qPW8.1, located in marker A08_S45 (18,172,719) and A08_S85 (18,196,752), was mapped to a 23.5 kb genomic region. QTL qPW8.1 explained 8.6% and 23.6% of the phenotypic variation in plant weight and the total numbers of head leaves, respectively, and contained a heterozygous segment that might control the heterosis of plant weight. The qPW1.1 made an 11.7% phenotypic contribution to plant weight. The qPW7.1 was sensitive to environmental influence and explained 10.7% of the phenotypic variance. QTL qPW5.1 had a significant signal and was located in a genetic region near the centromere showing high heterozygosity. The "pseudo-overdominance" and "synergistic allelic" effects from parent line "XJD4" appear to play an important role in heterosis for plant weight in Chinese cabbage. These results provide a basis for an improved understanding of the molecular mechanism of yield-related traits and their heterosis.
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Affiliation(s)
- Lixin Yue
- Institute of Vegetables and Flowers, Chinese Academy of Agricultural Sciences, Zhongguancun, Nandajie No. 12, Haidian District, Beijing, 100081, People's Republic of China
- Shandong Key Laboratory of Greenhouse Vegetable Biology, Shandong Branch of National Vegetable Improvement Center, Huanghuai Region Vegetable Scientific Station of Ministry of Agriculture (Shandong), Institute of Vegetables, Shandong Academy of Agricultural Sciences, Jinan, 250100, Shandong, People's Republic of China
| | - Rifei Sun
- Institute of Vegetables and Flowers, Chinese Academy of Agricultural Sciences, Zhongguancun, Nandajie No. 12, Haidian District, Beijing, 100081, People's Republic of China
- Shandong Key Laboratory of Greenhouse Vegetable Biology, Shandong Branch of National Vegetable Improvement Center, Huanghuai Region Vegetable Scientific Station of Ministry of Agriculture (Shandong), Institute of Vegetables, Shandong Academy of Agricultural Sciences, Jinan, 250100, Shandong, People's Republic of China
| | - Guoliang Li
- Institute of Vegetables and Flowers, Chinese Academy of Agricultural Sciences, Zhongguancun, Nandajie No. 12, Haidian District, Beijing, 100081, People's Republic of China
| | - Feng Cheng
- Institute of Vegetables and Flowers, Chinese Academy of Agricultural Sciences, Zhongguancun, Nandajie No. 12, Haidian District, Beijing, 100081, People's Republic of China
| | - Limin Gao
- Shandong Key Laboratory of Greenhouse Vegetable Biology, Shandong Branch of National Vegetable Improvement Center, Huanghuai Region Vegetable Scientific Station of Ministry of Agriculture (Shandong), Institute of Vegetables, Shandong Academy of Agricultural Sciences, Jinan, 250100, Shandong, People's Republic of China
| | - Qinghua Wang
- Shandong Key Laboratory of Greenhouse Vegetable Biology, Shandong Branch of National Vegetable Improvement Center, Huanghuai Region Vegetable Scientific Station of Ministry of Agriculture (Shandong), Institute of Vegetables, Shandong Academy of Agricultural Sciences, Jinan, 250100, Shandong, People's Republic of China
| | - Shifan Zhang
- Institute of Vegetables and Flowers, Chinese Academy of Agricultural Sciences, Zhongguancun, Nandajie No. 12, Haidian District, Beijing, 100081, People's Republic of China
| | - Hui Zhang
- Institute of Vegetables and Flowers, Chinese Academy of Agricultural Sciences, Zhongguancun, Nandajie No. 12, Haidian District, Beijing, 100081, People's Republic of China
| | - Shujiang Zhang
- Institute of Vegetables and Flowers, Chinese Academy of Agricultural Sciences, Zhongguancun, Nandajie No. 12, Haidian District, Beijing, 100081, People's Republic of China.
| | - Fei Li
- Institute of Vegetables and Flowers, Chinese Academy of Agricultural Sciences, Zhongguancun, Nandajie No. 12, Haidian District, Beijing, 100081, People's Republic of China.
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4
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Li G, Cheng Y, Yin M, Yang J, Ying J, Zhu C. Detection of QTLs for panicle-related traits using an indica × japonica recombinant inbred line population in rice. PeerJ 2021; 9:e12504. [PMID: 34909275 PMCID: PMC8638570 DOI: 10.7717/peerj.12504] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/18/2021] [Accepted: 10/26/2021] [Indexed: 11/20/2022] Open
Abstract
Background The panicle is the most important organ in rice, and all the panicle-related traits are correlated with rice grain yield. Understanding the underlying genetic mechanisms controlling panicle development is very important for improving rice production. Methods Nine panicle-related traits including heading date, panicle length, number of primary branches, number of secondary branches, number of grains per panicle, number of panicles per plant, number of filled grains per plant, seed-setting rate, and grain yield per plant were investigated. To map the quantitative trait loci (QTLs) for the nine panicle-related traits, a PCR-based genetic map with 208 markers (including 121 simple sequence repeats and 87 InDels) and a high-density linkage map with 18,194 single nucleotide polymorphism (SNP) markers were both used. Results Using a recombinant inbred line population derived from an indica variety Huanghuazhan and a japonica line Jizi 1560, a total of 110 and 112 QTLs were detected for panicle-related traits by PCR-based genetic map and by high-density linkage map, respectively. Most of the QTLs were clustered on chromosomes 1, 2, 3, 6, and 7 while no QTLs were detected on chromosome 10. Almost all the QTLs with LOD values of more than 5.0 were repeatedly detected, indicating the accuracy of the two methods and the stability of the QTL effects. No genes for panicle-related traits have been previously reported in most of these regions. QTLs found in JD1006-JD1007 and RM1148-RM5556 with high LOD and additive values deserved further research. The results of this study are beneficial for marker-assisted breeding and provide research foundation for further fine-mapping and cloning of these QTLs for panicle-related traits.
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Affiliation(s)
- Guan Li
- School of Agricultural Sciences, Jiangxi Agricultural University, Nanchang, Jiangxi Province, China.,China National Rice Research Institute, Hangzhou, Zhejiang Province, China
| | - Yichen Cheng
- China National Rice Research Institute, Hangzhou, Zhejiang Province, China
| | - Man Yin
- China National Rice Research Institute, Hangzhou, Zhejiang Province, China
| | - Jinyu Yang
- China National Rice Research Institute, Hangzhou, Zhejiang Province, China
| | - Jiezheng Ying
- China National Rice Research Institute, Hangzhou, Zhejiang Province, China
| | - Changlan Zhu
- School of Agricultural Sciences, Jiangxi Agricultural University, Nanchang, Jiangxi Province, China
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5
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Kulkarni SR, Balachandran SM, Ulaganathan K, Balakrishnan D, Prasad ASH, Rekha G, Kousik MBVN, Hajira SK, Kale RR, Aleena D, Anila M, Punniakoti E, Dilip T, Pranathi K, Das MA, Shaik M, Chaitra K, Sinha P, Sundaram RM. Mapping novel QTLs for yield related traits from a popular rice hybrid KRH-2 derived doubled haploid (DH) population. 3 Biotech 2021; 11:513. [PMID: 34926111 DOI: 10.1007/s13205-021-03045-7] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/30/2021] [Accepted: 10/29/2021] [Indexed: 11/30/2022] Open
Abstract
A doubled haploid (DH) population consisting of 125 DHLs derived from the popular rice hybrid, KRH-2 (IR58025A/KMR3R) was utilized for Quantitative Trait Loci (QTL) mapping to identify novel genomic regions associated with yield related traits. A genetic map was constructed with 126 polymorphic SSR and EST derived markers, which were distributed across rice genome. QTL analysis using inclusive composite interval mapping (ICIM) method identified a total of 24 major and minor effect QTLs. Among them, twelve major effect QTLs were identified for days to fifty percent flowering (qDFF12-1), total grain yield/plant (qYLD3-1 and qYLD6-1), test (1,000) grain weight (qTGW6-1 and qTGW7-1), panicle weight (qPW9-1), plant height (qPH12-1), flag leaf length (qFLL6-1), flag leaf width (qFLW4-1), panicle length (qPL3-1 and qPL6-1) and biomass (qBM4-1), explaining 29.95-56.75% of the phenotypic variability with LOD scores range of 2.72-16.51. Chromosomal regions with gene clusters were identified on chromosome 3 for total grain yield/plant (qYLD3-1) and panicle length (qPL3-1) and on chromosome 6 for total grain yield/plant (qYLD6-1), flag leaf length (qFLL6-1) and panicle length (qPL6-1). Majority of the QTLs identified were observed to be co-localized with the previously reported QTL regions. Five novel, major effect QTLs associated with panicle weight (qPW9-1), plant height (qPH12-1), flag leaf width (qFLW4-1), panicle length (qPL3-1) and biomass (qBM4-1) and three novel minor effect QTLs for panicle weight (qPW3-1 and qPW8-1) and fertile grains per panicle (qFGP5-1) were identified. These QTLs can be used in breeding programs aimed to yield improvement after their validation in alternative populations. SUPPLEMENTARY INFORMATION The online version contains supplementary material available at 10.1007/s13205-021-03045-7.
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Affiliation(s)
- Swapnil Ravindra Kulkarni
- Biotechnology Department, ICAR-Indian Institute of Rice Research, Rajendranagar, Hyderabad, Telangana State (TS) 500030 India
| | - S M Balachandran
- Biotechnology Department, ICAR-Indian Institute of Rice Research, Rajendranagar, Hyderabad, Telangana State (TS) 500030 India
| | - K Ulaganathan
- Centre for Plant Molecular Biology (CPMB), Osmania University, Hyderabad, 500007 India
| | - Divya Balakrishnan
- Biotechnology Department, ICAR-Indian Institute of Rice Research, Rajendranagar, Hyderabad, Telangana State (TS) 500030 India
| | - A S Hari Prasad
- Biotechnology Department, ICAR-Indian Institute of Rice Research, Rajendranagar, Hyderabad, Telangana State (TS) 500030 India
| | - G Rekha
- Biotechnology Department, ICAR-Indian Institute of Rice Research, Rajendranagar, Hyderabad, Telangana State (TS) 500030 India
| | - M B V N Kousik
- Biotechnology Department, ICAR-Indian Institute of Rice Research, Rajendranagar, Hyderabad, Telangana State (TS) 500030 India
| | - S K Hajira
- Biotechnology Department, ICAR-Indian Institute of Rice Research, Rajendranagar, Hyderabad, Telangana State (TS) 500030 India
| | - Ravindra Ramarao Kale
- Biotechnology Department, ICAR-Indian Institute of Rice Research, Rajendranagar, Hyderabad, Telangana State (TS) 500030 India
| | - D Aleena
- Biotechnology Department, ICAR-Indian Institute of Rice Research, Rajendranagar, Hyderabad, Telangana State (TS) 500030 India
| | - M Anila
- Biotechnology Department, ICAR-Indian Institute of Rice Research, Rajendranagar, Hyderabad, Telangana State (TS) 500030 India
| | - E Punniakoti
- Biotechnology Department, ICAR-Indian Institute of Rice Research, Rajendranagar, Hyderabad, Telangana State (TS) 500030 India
| | - T Dilip
- Biotechnology Department, ICAR-Indian Institute of Rice Research, Rajendranagar, Hyderabad, Telangana State (TS) 500030 India
| | - K Pranathi
- Biotechnology Department, ICAR-Indian Institute of Rice Research, Rajendranagar, Hyderabad, Telangana State (TS) 500030 India
| | - M Ayyappa Das
- Biotechnology Department, ICAR-Indian Institute of Rice Research, Rajendranagar, Hyderabad, Telangana State (TS) 500030 India
| | - Mastanbee Shaik
- Biotechnology Department, ICAR-Indian Institute of Rice Research, Rajendranagar, Hyderabad, Telangana State (TS) 500030 India
| | - K Chaitra
- Biotechnology Department, ICAR-Indian Institute of Rice Research, Rajendranagar, Hyderabad, Telangana State (TS) 500030 India
| | - Pragya Sinha
- Biotechnology Department, ICAR-Indian Institute of Rice Research, Rajendranagar, Hyderabad, Telangana State (TS) 500030 India
| | - R M Sundaram
- Biotechnology Department, ICAR-Indian Institute of Rice Research, Rajendranagar, Hyderabad, Telangana State (TS) 500030 India
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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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7
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Aakanksha, Yadava SK, Yadav BG, Gupta V, Mukhopadhyay A, Pental D, Pradhan AK. Genetic Analysis of Heterosis for Yield Influencing Traits in Brassica juncea Using a Doubled Haploid Population and Its Backcross Progenies. FRONTIERS IN PLANT SCIENCE 2021; 12:721631. [PMID: 34603351 PMCID: PMC8481694 DOI: 10.3389/fpls.2021.721631] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 06/07/2021] [Accepted: 08/16/2021] [Indexed: 01/07/2024]
Abstract
The exploitation of heterosis through hybrid breeding is one of the major breeding objectives for productivity increase in crop plants. This research analyzes the genetic basis of heterosis in Brassica juncea by using a doubled haploid (DH) mapping population derived from F1 between two heterotic inbred parents, one belonging to the Indian and the other belonging to the east European gene pool, and their two corresponding sets of backcross hybrids. An Illumina Infinium Brassica 90K SNP array-based genetic map was used to identify yield influencing quantitative trait loci (QTL) related to plant architecture, flowering, and silique- and seed-related traits using five different data sets from multiple trials, allowing the estimation of additive and dominance effects, as well as digenic epistatic interactions. In total, 695 additive QTL were detected for the 14 traits in the three trials using five data sets, with overdominance observed to be the predominant type of effect in determining the expression of heterotic QTL. The results indicated that the design in the present study was efficient for identifying common QTL across multiple trials and populations, which constitute a valuable resource for marker-assisted selection and further research. In addition, a total of 637 epistatic loci were identified, and it was concluded that epistasis among loci without detectable main effects plays an important role in controlling heterosis in yield of B. juncea.
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Affiliation(s)
- Aakanksha
- Department of Genetics, University of Delhi South Campus, New Delhi, India
| | - Satish Kumar Yadava
- Centre for Genetic Manipulation of Crop Plants, University of Delhi South Campus, New Delhi, India
| | - Bal Govind Yadav
- Department of Genetics, University of Delhi South Campus, New Delhi, India
| | - Vibha Gupta
- Centre for Genetic Manipulation of Crop Plants, University of Delhi South Campus, New Delhi, India
| | - Arundhati Mukhopadhyay
- Centre for Genetic Manipulation of Crop Plants, University of Delhi South Campus, New Delhi, India
| | - Deepak Pental
- Centre for Genetic Manipulation of Crop Plants, University of Delhi South Campus, New Delhi, India
| | - Akshay K. Pradhan
- Department of Genetics, University of Delhi South Campus, New Delhi, India
- Centre for Genetic Manipulation of Crop Plants, University of Delhi South Campus, New Delhi, India
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8
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Genetic dissection of heterosis of indica-japonica by introgression line, recombinant inbred line and their testcross populations. Sci Rep 2021; 11:10265. [PMID: 33986411 PMCID: PMC8119717 DOI: 10.1038/s41598-021-89691-6] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/04/2020] [Accepted: 04/27/2021] [Indexed: 12/03/2022] Open
Abstract
The successful implementation of heterosis in rice has significantly enhanced rice productivity, but the genetic basis of heterosis in rice remains unclear. To understand the genetic basis of heterosis in rice, main-effect and epistatic quantitative trait loci (QTLs) associated with heterosis for grain yield-related traits in the four related rice mapping populations derived from Xiushui09 (XS09) (japonica) and IR2061 (indica), were dissected using single nucleotide polymorphism bin maps and replicated phenotyping experiments under two locations. Most mid-parent heterosis of testcross F1s (TCF1s) of XS09 background introgression lines (XSILs) with Peiai64S were significantly higher than those of TCF1s of recombinant inbred lines (RILs) with PA64S at two locations, suggesting that the effects of heterosis was influenced by the proportion of introgression of IR2061’s genome into XS09 background. A total of 81 main-effect QTLs (M-QTLs) and 41 epistatic QTLs were identified for the phenotypic variations of four traits of RILs and XSILs, TCF1s and absolute mid-parent heterosis in two locations. Furthermore, overdominance and underdominance were detected to play predominant effects on most traits in this study, suggesting overdominance and underdominance as well as epistasis are the main genetic bases of heterosis in rice. Some M-QTLs exhibiting positive overdominance effects such as qPN1.2, qPN1.5 and qPN4.3 for increased panicle number per plant, qGYP9 and qGYP12.1 for increased grain yield per plant, and qTGW3.4 and qTGW8.2 for enhanced 1000-grain weight would be highly valuable for breeding to enhance grain yield of hybrid rice by marker-assisted selection.
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9
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Liu YJ, Gao SQ, Tang YM, Gong J, Zhang X, Wang YB, Zhang LP, Sun RW, Zhang Q, Chen ZB, Wang X, Guo CJ, Zhang SQ, Zhang FT, Gao JG, Sun H, Yang WB, Wang WW, Zhao CP. Transcriptome analysis of wheat seedling and spike tissues in the hybrid Jingmai 8 uncovered genes involved in heterosis. PLANTA 2018; 247:1307-1321. [PMID: 29504038 DOI: 10.1007/s00425-018-2848-3] [Citation(s) in RCA: 16] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 09/29/2017] [Accepted: 01/12/2018] [Indexed: 05/23/2023]
Abstract
Transcriptome analysis was carried out for wheat seedlings and spikes from hybrid Jingmai 8 and both inbred lines to unravel mechanisms underlying heterosis. Heterosis, known as one of the most successful strategies for increasing crop yield, has been widely exploited in plant breeding systems. Despite its great importance, the molecular mechanism underlying heterosis remains elusive. In the present study, RNA sequencing (RNA-seq) was performed on the seedling and spike tissues of the wheat (Triticum aestivum) hybrid Jingmai 8 (JM8) and its homozygous parents to unravel the underlying mechanisms of wheat heterosis. In total, 1686 and 2334 genes were identified as differentially expressed genes (DEGs) between the hybrid and the two inbred lines in seedling and spike tissues, respectively. Gene Ontology analysis revealed that DEGs from seedling tissues were significantly enriched in processes involved in photosynthesis and carbon fixation, and the majority of these DEGs expressed at a higher level in JM8 compared to both inbred lines. In addition, cell wall biogenesis and protein biosynthesis-related pathways were also significantly represented. These results confirmed that a combination of different pathways could contribute to heterosis. The DEGs between the hybrid and the two inbred progenitors from the spike tissues were significantly enriched in biological processes related to transcription, RNA biosynthesis and molecular function categories related to transcription factor activities. Furthermore, transcription factors such as NAC, ERF, and TIF-IIA were highly expressed in the hybrid JM8. These results may provide valuable insights into the molecular mechanisms underlying wheat heterosis.
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Affiliation(s)
- Yong-Jie Liu
- Beijing Engineering Research Center for Hybrid Wheat, The Municipal Key Laboratory of the Molecular Genetics of Hybrid Wheat, Beijing Academy of Agriculture and Forestry Sciences, Beijing, 100097, China
| | - Shi-Qing Gao
- Beijing Engineering Research Center for Hybrid Wheat, The Municipal Key Laboratory of the Molecular Genetics of Hybrid Wheat, Beijing Academy of Agriculture and Forestry Sciences, Beijing, 100097, China.
| | - Yi-Miao Tang
- Beijing Engineering Research Center for Hybrid Wheat, The Municipal Key Laboratory of the Molecular Genetics of Hybrid Wheat, Beijing Academy of Agriculture and Forestry Sciences, Beijing, 100097, China
| | - Jie Gong
- Beijing Engineering Research Center for Hybrid Wheat, The Municipal Key Laboratory of the Molecular Genetics of Hybrid Wheat, Beijing Academy of Agriculture and Forestry Sciences, Beijing, 100097, China
| | - Xiao Zhang
- Hebei Normal University, Shijiazhuang, 050024, China
| | - Yong-Bo Wang
- Beijing Engineering Research Center for Hybrid Wheat, The Municipal Key Laboratory of the Molecular Genetics of Hybrid Wheat, Beijing Academy of Agriculture and Forestry Sciences, Beijing, 100097, China
| | - Li-Ping Zhang
- Beijing Engineering Research Center for Hybrid Wheat, The Municipal Key Laboratory of the Molecular Genetics of Hybrid Wheat, Beijing Academy of Agriculture and Forestry Sciences, Beijing, 100097, China
| | - Ren-Wei Sun
- Beijing Engineering Research Center for Hybrid Wheat, The Municipal Key Laboratory of the Molecular Genetics of Hybrid Wheat, Beijing Academy of Agriculture and Forestry Sciences, Beijing, 100097, China
- Beijing University of Agriculture, Beijing, 100036, China
| | - Quan Zhang
- Shandong Normal University, Jinan, 250014, China
| | - Zhao-Bo Chen
- Beijing Engineering Research Center for Hybrid Wheat, The Municipal Key Laboratory of the Molecular Genetics of Hybrid Wheat, Beijing Academy of Agriculture and Forestry Sciences, Beijing, 100097, China
| | - Xiang Wang
- Huazhong Agricultural University, Wuhan, 430070, China
| | | | - Sheng-Quan Zhang
- Beijing Engineering Research Center for Hybrid Wheat, The Municipal Key Laboratory of the Molecular Genetics of Hybrid Wheat, Beijing Academy of Agriculture and Forestry Sciences, Beijing, 100097, China
| | - Feng-Ting Zhang
- Beijing Engineering Research Center for Hybrid Wheat, The Municipal Key Laboratory of the Molecular Genetics of Hybrid Wheat, Beijing Academy of Agriculture and Forestry Sciences, Beijing, 100097, China
| | - Jian-Gang Gao
- Beijing Engineering Research Center for Hybrid Wheat, The Municipal Key Laboratory of the Molecular Genetics of Hybrid Wheat, Beijing Academy of Agriculture and Forestry Sciences, Beijing, 100097, China
| | - Hui Sun
- Beijing Engineering Research Center for Hybrid Wheat, The Municipal Key Laboratory of the Molecular Genetics of Hybrid Wheat, Beijing Academy of Agriculture and Forestry Sciences, Beijing, 100097, China
| | - Wei-Bing Yang
- Beijing Engineering Research Center for Hybrid Wheat, The Municipal Key Laboratory of the Molecular Genetics of Hybrid Wheat, Beijing Academy of Agriculture and Forestry Sciences, Beijing, 100097, China
| | - Wei-Wei Wang
- Beijing Engineering Research Center for Hybrid Wheat, The Municipal Key Laboratory of the Molecular Genetics of Hybrid Wheat, Beijing Academy of Agriculture and Forestry Sciences, Beijing, 100097, China
| | - Chang-Ping Zhao
- Beijing Engineering Research Center for Hybrid Wheat, The Municipal Key Laboratory of the Molecular Genetics of Hybrid Wheat, Beijing Academy of Agriculture and Forestry Sciences, Beijing, 100097, China.
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