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You J, Ye L, Wang D, Zhang Y, Xiao W, Wei M, Wu R, Liu J, He G, Zhao F, Zhang T. Mapping and candidate gene analysis of QTLs for grain shape in a rice chromosome segment substitution line Z485 and breeding of SSSLs. MOLECULAR BREEDING : NEW STRATEGIES IN PLANT IMPROVEMENT 2024; 44:39. [PMID: 38766512 PMCID: PMC11099003 DOI: 10.1007/s11032-024-01480-x] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 02/11/2024] [Accepted: 05/10/2024] [Indexed: 05/22/2024]
Abstract
Grain shape is one of the most important factors that affects rice yield. Cloning novel grain shape genes and analyzing their genetic mechanisms are crucial for high yield breeding. In this study, a slender grain CSSL-Z485 with 3-segments substitution in the genetic background of Nipponbare was constructed in rice. Cytological analysis showed that the longer grain length of Z485 was related to the increase in glume cell numbers, while the narrower grain width was associated with the decrease in cell width. Three grain shape-related quantitative trait locus (QTLs), including qGL12, qGW12, and qRLW12, were identified through the F2 population constructed from a cross between Nipponbare and Z485. Furthermore, four single segment substitution lines (SSSLs, S1-S4) carrying the target QTLs were dissected from Z485 by MAS. Finally, three candidate genes of qGL12 for grain length and qGW12 for grain width located in S3 were confirmed by DNA sequencing, RT-qPCR, and protein structure prediction. Specifically, candidate gene 1 encodes a ubiquitin family protein, while candidate genes 2 and 3 encode zinc finger proteins. The results provide valuable germplasm resources for cloning novel grain shape genes and molecular breeding by design. Supplementary information The online version contains supplementary material available at 10.1007/s11032-024-01480-x.
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Affiliation(s)
- Jing You
- Key Laboratory of Crop Molecular Improvement, College of Agronomy and Biotechnology, Rice Research InstituteAcademy of Agricultural SciencesSouthwest University, Chongqing, 400715 China
| | - Li Ye
- Key Laboratory of Crop Molecular Improvement, College of Agronomy and Biotechnology, Rice Research InstituteAcademy of Agricultural SciencesSouthwest University, Chongqing, 400715 China
| | - Dachuan Wang
- Key Laboratory of Crop Molecular Improvement, College of Agronomy and Biotechnology, Rice Research InstituteAcademy of Agricultural SciencesSouthwest University, Chongqing, 400715 China
| | - Yi Zhang
- Key Laboratory of Crop Molecular Improvement, College of Agronomy and Biotechnology, Rice Research InstituteAcademy of Agricultural SciencesSouthwest University, Chongqing, 400715 China
| | - Wenwen Xiao
- Key Laboratory of Crop Molecular Improvement, College of Agronomy and Biotechnology, Rice Research InstituteAcademy of Agricultural SciencesSouthwest University, Chongqing, 400715 China
| | - Mi Wei
- Key Laboratory of Crop Molecular Improvement, College of Agronomy and Biotechnology, Rice Research InstituteAcademy of Agricultural SciencesSouthwest University, Chongqing, 400715 China
| | - Ruhui Wu
- Key Laboratory of Crop Molecular Improvement, College of Agronomy and Biotechnology, Rice Research InstituteAcademy of Agricultural SciencesSouthwest University, Chongqing, 400715 China
| | - Jinyan Liu
- Key Laboratory of Crop Molecular Improvement, College of Agronomy and Biotechnology, Rice Research InstituteAcademy of Agricultural SciencesSouthwest University, Chongqing, 400715 China
| | - Guanghua He
- Key Laboratory of Crop Molecular Improvement, College of Agronomy and Biotechnology, Rice Research InstituteAcademy of Agricultural SciencesSouthwest University, Chongqing, 400715 China
| | - Fangming Zhao
- Key Laboratory of Crop Molecular Improvement, College of Agronomy and Biotechnology, Rice Research InstituteAcademy of Agricultural SciencesSouthwest University, Chongqing, 400715 China
| | - Ting Zhang
- Key Laboratory of Crop Molecular Improvement, College of Agronomy and Biotechnology, Rice Research InstituteAcademy of Agricultural SciencesSouthwest University, Chongqing, 400715 China
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Deng K, Zhang H, Wu J, Zhao Z, Wang D, Xu G, Yu J, Ling Y, Zhao F. Development of Single-Segment Substitution Lines and Fine-Mapping of qSPP4 for Spikelets Per Panicle and qGW9 for Grain Width Based on Rice Dual-Segment Substitution Line Z783. Int J Mol Sci 2023; 24:17305. [PMID: 38139135 PMCID: PMC10744095 DOI: 10.3390/ijms242417305] [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: 11/03/2023] [Revised: 12/05/2023] [Accepted: 12/07/2023] [Indexed: 12/24/2023] Open
Abstract
Single segment substitution line (SSSL) libraries are an ideal platform for breeding by design. To develop SSSLs-Xihui18 covering the whole genome, a novel rice chromosome segment substitution line (CSSL), Z783, carrying two substitution segments (average length of 6.55 Mb) on Chr.4 and Chr.9 was identified, which was a gap in the library previously. Z783 was developed from the progeny of recipient "Xihui18" (an indica restorer line) and donor "Huhan3" (a japonica cultivar) by advanced backcross combined molecular marker-assisted selection (MAS). It displayed multiple panicles and less spikelets and wide grains. Then, a F2 population derived from Xihui18/Z783 was used to map quantitative trait loci (QTLs) for yield-related traits by the mixed linear model method. Nine QTLs were detected (p < 0.05). Furthermore, three SSSLs were constructed by MAS, and all 9 QTLs could be validated, and 15 novel QTLs could be detected by these SSSLs by a one-way ANOVA analysis. The genetic analysis showed that qSSP4 for less spikelets and qGW9 for wide grain all displayed dominant gene action in their SSSLs. Finally, qSSP4 and qGW9 were fine-mapped to intervals of 2.75 Mb and 1.84 Mb, on Chromosomes 4 and 9, respectively. The results lay a solid foundation for their map cloning and molecular breeding by design.
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Affiliation(s)
| | | | | | | | | | | | | | | | - Fangming Zhao
- Rice Research Institute, Academy of Agricultural Science, Engineering Research Center of South Upland Agriculture, Ministry of Education, Southwest University, Chongqing 400715, China; (K.D.); (H.Z.); (J.W.); (Z.Z.); (D.W.); (G.X.); (J.Y.); (Y.L.)
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Nguyen HTL, Suetsugu S, Nakamura Y, Demeter Z, Zheng SH, Fujita D. Identification and characterization of stable QTLs for vascular bundle number at the panicle neck in rice ( Oryza sativa L.). BREEDING SCIENCE 2023; 73:365-372. [PMID: 38106512 PMCID: PMC10722095 DOI: 10.1270/jsbbs.23013] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 03/10/2023] [Accepted: 06/11/2023] [Indexed: 12/19/2023]
Abstract
A large vascular bundle number (VBN) in the panicle neck in rice (Oryza sativa L.) is related to the ability to transport assimilates from stem and leaf to reproductive organs during seed maturation. Several quantitative trait loci (QTLs) for VBN have been identified by using segregating populations derived from a cross between indica and japonica rice cultivars. However, the detailed location, effect, and interaction of QTLs for VBN were not understood well. Here, to elucidate the genetic basis of VBN, we identified three stable QTLs for VBN-qVBN5, qVBN6 and qVBN11-by using 71 recombinant inbred lines derived from a cross between indica 'IR24' and japonica 'Asominori'. We confirmed their positions and characterized their effects by using chromosome segment substitution lines (CSSLs) with an 'IR24' genetic background. qVBN6 had the most substantial effect on VBN, followed by qVBN11 and qVBN5. We developed pyramided lines carrying two QTLs for VBN to estimate their interaction. The combination of qVBN6 and qVBN11 accumulated VBN negatively in the pyramided lines owing to the independent actions of each QTL. The QTLs detected for VBN will enhance our understanding of genetic mechanisms of VBN and can be used in rice breeding.
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Affiliation(s)
- Ha Thi Le Nguyen
- The United Graduate School of Agricultural Sciences, Kagoshima University, 1-21-24 Korimoto, Kagoshima 890-8580, Japan
- Forest Science Institute of South Vietnam, 1 Pham Van Hai, Tan Binh District, Ho Chi Minh City, Viet Nam
| | - Shizuka Suetsugu
- Faculty of Agriculture, Saga University, 1 Honjo-machi, Saga 840-8502, Japan
| | - Yuna Nakamura
- Faculty of Agriculture, Saga University, 1 Honjo-machi, Saga 840-8502, Japan
| | - Zita Demeter
- Faculty of Agriculture, Saga University, 1 Honjo-machi, Saga 840-8502, Japan
| | - Shao-Hui Zheng
- Faculty of Agriculture, Saga University, 1 Honjo-machi, Saga 840-8502, Japan
| | - Daisuke Fujita
- Faculty of Agriculture, Saga University, 1 Honjo-machi, Saga 840-8502, Japan
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Xu G, Deng K, Yu J, Li Q, Li L, Xiang A, Ling Y, Zhang C, Zhao F. Genetic Effects Analysis of QTLs for Rice Grain Size Based on CSSL-Z403 and Its Dissected Single and Dual-Segment Substitution Lines. Int J Mol Sci 2023; 24:12013. [PMID: 37569388 PMCID: PMC10418668 DOI: 10.3390/ijms241512013] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/22/2023] [Revised: 07/19/2023] [Accepted: 07/25/2023] [Indexed: 08/13/2023] Open
Abstract
Rice chromosomal segment substitution lines (CSSLs) are ideal materials for studying quantitative traits such as grain size. Here, a rice large-grain CSSL-Z403 was identified among progeny of the recipient Xihui18 and the donor Jinhui35 based on molecular marker-assisted selection. Z403 carried 10 substitution segments with average length of 3.01 Mb. Then, a secondary F2 population derived from a cross between Xihui18 and Z403 was used to map quantitative trait loci (QTL) for grain size. Six QTLs distributed on chromosomes 5, 6, 7, 9 and 12 were detected. Finally four single-segment substitution lines (SSSLs) and two dual-segment substitution lines (DSSLs) carrying these target QTLs were constructed, and 10 novel QTLs were identified by four SSSLs. The large grain of Z403 was controlled at least by qGWT5, qGWT7, qGWT9 and qGWT12, and its grain weight was influenced through grain length QTL such as qGL5, qGL6, qGL9 and qGL12, as well as grain width QTL such as qGW5, qGW7, qGW9 and qGW12. Among 16 QTLs, four QTLs including qGL6, etc., might be novel compared with the reported documents. Again, positive or less negative epistatic effects between two non-allelic QTLs (additive effect > 0) may assist screening the genotype with larger grain size in further selection.
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Affiliation(s)
| | | | | | | | | | | | | | | | - Fangming Zhao
- Rice Research Institute, Academy of Agricultural Science, Engineering Research Center of South Upland Agriculture, Ministry of Education, Southwest University, Chongqing 400715, China; (G.X.)
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Nagata K, Nonoue Y, Matsubara K, Mizobuchi R, Ono N, Shibaya T, Ebana K, Ogiso-Tanaka E, Tanabata T, Sugimoto K, Taguchi-Shiobara F, Yonemaru JI, Uga Y, Fukuda A, Ueda T, Yamamoto SI, Yamanouchi U, Takai T, Ikka T, Kondo K, Hoshino T, Yamamoto E, Adachi S, Sun J, Kuya N, Kitomi Y, Iijima K, Nagasaki H, Shomura A, Mizubayashi T, Kitazawa N, Hori K, Ando T, Yamamoto T, Fukuoka S, Yano M. Development of 12 sets of chromosome segment substitution lines that enhance allele mining in Asian cultivated rice. BREEDING SCIENCE 2023; 73:332-342. [PMID: 37840983 PMCID: PMC10570878 DOI: 10.1270/jsbbs.23006] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 02/01/2023] [Accepted: 04/12/2023] [Indexed: 10/17/2023]
Abstract
Many agronomic traits that are important in rice breeding are controlled by multiple genes. The extensive time and effort devoted so far to identifying and selecting such genes are still not enough to target multiple agronomic traits in practical breeding in Japan because of a lack of suitable plant materials in which to efficiently detect and validate beneficial alleles from diverse genetic resources. To facilitate the comprehensive analysis of genetic variation in agronomic traits among Asian cultivated rice, we developed 12 sets of chromosome segment substitution lines (CSSLs) with the japonica background, 11 of them in the same genetic background, using donors representing the genetic diversity of Asian cultivated rice. Using these materials, we overviewed the chromosomal locations of 1079 putative QTLs for seven agronomic traits and their allelic distribution in Asian cultivated rice through multiple linear regression analysis. The CSSLs will allow the effects of putative QTLs in the highly homogeneous japonica background to be validated.
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Affiliation(s)
- Kazufumi Nagata
- National Agriculture and Food Research Organization, 2-1-2 Kannondai, Tsukuba, Ibaraki 305-8518, Japan
| | - Yasunori Nonoue
- National Agriculture and Food Research Organization, 2-1-2 Kannondai, Tsukuba, Ibaraki 305-8518, Japan
| | - Kazuki Matsubara
- National Agriculture and Food Research Organization, 2-1-2 Kannondai, Tsukuba, Ibaraki 305-8518, Japan
| | - Ritsuko Mizobuchi
- National Agriculture and Food Research Organization, 2-1-2 Kannondai, Tsukuba, Ibaraki 305-8518, Japan
| | - Nozomi Ono
- Institute of the Society for Techno-innovation of Agriculture, Forestry and Fisheries, 446-1 Ippaizuka, Kamiyokoba, Tsukuba, Ibaraki 305-0854, Japan
| | - Taeko Shibaya
- National Agriculture and Food Research Organization, 2-1-2 Kannondai, Tsukuba, Ibaraki 305-8518, Japan
| | - Kaworu Ebana
- National Agriculture and Food Research Organization, 2-1-2 Kannondai, Tsukuba, Ibaraki 305-8518, Japan
| | - Eri Ogiso-Tanaka
- National Agriculture and Food Research Organization, 2-1-2 Kannondai, Tsukuba, Ibaraki 305-8518, Japan
| | - Takanari Tanabata
- National Agriculture and Food Research Organization, 2-1-2 Kannondai, Tsukuba, Ibaraki 305-8518, Japan
| | - Kazuhiko Sugimoto
- National Agriculture and Food Research Organization, 2-1-2 Kannondai, Tsukuba, Ibaraki 305-8518, Japan
| | - Fumio Taguchi-Shiobara
- National Agriculture and Food Research Organization, 2-1-2 Kannondai, Tsukuba, Ibaraki 305-8518, Japan
| | - Jun-ichi Yonemaru
- National Agriculture and Food Research Organization, 2-1-2 Kannondai, Tsukuba, Ibaraki 305-8518, Japan
| | - Yusaku Uga
- National Agriculture and Food Research Organization, 2-1-2 Kannondai, Tsukuba, Ibaraki 305-8518, Japan
| | - Atsunori Fukuda
- National Agriculture and Food Research Organization, 2-1-2 Kannondai, Tsukuba, Ibaraki 305-8518, Japan
| | - Tadamasa Ueda
- National Agriculture and Food Research Organization, 2-1-2 Kannondai, Tsukuba, Ibaraki 305-8518, Japan
| | - Shin-ichi Yamamoto
- National Agriculture and Food Research Organization, 2-1-2 Kannondai, Tsukuba, Ibaraki 305-8518, Japan
| | - Utako Yamanouchi
- National Agriculture and Food Research Organization, 2-1-2 Kannondai, Tsukuba, Ibaraki 305-8518, Japan
| | - Toshiyuki Takai
- National Agriculture and Food Research Organization, 2-1-2 Kannondai, Tsukuba, Ibaraki 305-8518, Japan
| | - Takashi Ikka
- National Agriculture and Food Research Organization, 2-1-2 Kannondai, Tsukuba, Ibaraki 305-8518, Japan
| | - Katsuhiko Kondo
- National Agriculture and Food Research Organization, 2-1-2 Kannondai, Tsukuba, Ibaraki 305-8518, Japan
| | - Tomoki Hoshino
- National Agriculture and Food Research Organization, 2-1-2 Kannondai, Tsukuba, Ibaraki 305-8518, Japan
| | - Eiji Yamamoto
- National Agriculture and Food Research Organization, 2-1-2 Kannondai, Tsukuba, Ibaraki 305-8518, Japan
| | - Shunsuke Adachi
- National Agriculture and Food Research Organization, 2-1-2 Kannondai, Tsukuba, Ibaraki 305-8518, Japan
| | - Jian Sun
- National Agriculture and Food Research Organization, 2-1-2 Kannondai, Tsukuba, Ibaraki 305-8518, Japan
| | - Noriyuki Kuya
- National Agriculture and Food Research Organization, 2-1-2 Kannondai, Tsukuba, Ibaraki 305-8518, Japan
| | - Yuka Kitomi
- National Agriculture and Food Research Organization, 2-1-2 Kannondai, Tsukuba, Ibaraki 305-8518, Japan
| | - Ken Iijima
- National Agriculture and Food Research Organization, 2-1-2 Kannondai, Tsukuba, Ibaraki 305-8518, Japan
| | - Hideki Nagasaki
- National Agriculture and Food Research Organization, 2-1-2 Kannondai, Tsukuba, Ibaraki 305-8518, Japan
| | - Ayahiko Shomura
- National Agriculture and Food Research Organization, 2-1-2 Kannondai, Tsukuba, Ibaraki 305-8518, Japan
| | - Tatsumi Mizubayashi
- National Agriculture and Food Research Organization, 2-1-2 Kannondai, Tsukuba, Ibaraki 305-8518, Japan
| | - Noriyuki Kitazawa
- National Agriculture and Food Research Organization, 2-1-2 Kannondai, Tsukuba, Ibaraki 305-8518, Japan
| | - Kiyosumi Hori
- National Agriculture and Food Research Organization, 2-1-2 Kannondai, Tsukuba, Ibaraki 305-8518, Japan
| | - Tsuyu Ando
- National Agriculture and Food Research Organization, 2-1-2 Kannondai, Tsukuba, Ibaraki 305-8518, Japan
| | - Toshio Yamamoto
- National Agriculture and Food Research Organization, 2-1-2 Kannondai, Tsukuba, Ibaraki 305-8518, Japan
| | - Shuichi Fukuoka
- National Agriculture and Food Research Organization, 2-1-2 Kannondai, Tsukuba, Ibaraki 305-8518, Japan
| | - Masahiro Yano
- National Agriculture and Food Research Organization, 2-1-2 Kannondai, Tsukuba, Ibaraki 305-8518, Japan
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Zhao Q, Shi XS, Wang T, Chen Y, Yang R, Mi J, Zhang YW, Zhang YM. Identification of QTNs, QTN-by-environment interactions, and their candidate genes for grain size traits in main crop and ratoon rice. FRONTIERS IN PLANT SCIENCE 2023; 14:1119218. [PMID: 36818826 PMCID: PMC9933869 DOI: 10.3389/fpls.2023.1119218] [Citation(s) in RCA: 6] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 12/09/2022] [Accepted: 01/13/2023] [Indexed: 05/10/2023]
Abstract
Although grain size is an important quantitative trait affecting rice yield and quality, there are few studies on gene-by-environment interactions (GEIs) in genome-wide association studies, especially, in main crop (MC) and ratoon rice (RR). To address these issues, the phenotypes for grain width (GW), grain length (GL), and thousand grain weight (TGW) of 159 accessions of MC and RR in two environments were used to associate with 2,017,495 SNPs for detecting quantitative trait nucleotides (QTNs) and QTN-by-environment interactions (QEIs) using 3VmrMLM. As a result, 64, 71, 67, 72, 63, and 56 QTNs, and 0, 1, 2, 2, 2, and 1 QEIs were found to be significantly associated with GW in MC (GW-MC), GL-MC, TGW-MC, GW-RR, GL-RR, and TGW-RR, respectively. 3, 4, 7, 2, 2, and 4 genes were found to be truly associated with the above traits, respectively, while 2 genes around the above QEIs were found to be truly associated with GL-RR, and one of the two known genes was differentially expressed under two soil moisture conditions. 10, 7, 1, 8, 4, and 3 candidate genes were found by differential expression and GO annotation analysis to be around the QTNs for the above traits, respectively, in which 6, 3, 1, 2, 0, and 2 candidate genes were found to be significant in haplotype analysis. The gene Os03g0737000 around one QEI for GL-MC was annotated as salt stress related gene and found to be differentially expressed in two cultivars with different grain sizes. Among all the candidate genes around the QTNs in this study, four were key, in which two were reported to be truly associated with seed development, and two (Os02g0626100 for GL-MC and Os02g0538000 for GW-MC) were new. Moreover, 1, 2, and 1 known genes, along with 8 additional candidate genes and 2 candidate GEIs, were found to be around QTNs and QEIs for GW, GL, and TGW, respectively in MC and RR joint analysis, in which 3 additional candidate genes were key and new. Our results provided a solid foundation for genetic improvement and molecular breeding in MC and RR.
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Affiliation(s)
- Qiong Zhao
- College of Plant Science and Technology, Huazhong Agricultural University, Wuhan, China
| | - Xiao-Shi Shi
- College of Plant Science and Technology, Huazhong Agricultural University, Wuhan, China
| | - Tian Wang
- College of Plant Science and Technology, Huazhong Agricultural University, Wuhan, China
- National Key Laboratory of Crop Genetic Improvement and National Centre of Plant Gene Research (Wuhan), Huazhong Agricultural University, Wuhan, China
| | - Ying Chen
- College of Plant Science and Technology, Huazhong Agricultural University, Wuhan, China
| | - Rui Yang
- College of Plant Science and Technology, Huazhong Agricultural University, Wuhan, China
- National Key Laboratory of Crop Genetic Improvement and National Centre of Plant Gene Research (Wuhan), Huazhong Agricultural University, Wuhan, China
| | - Jiaming Mi
- College of Plant Science and Technology, Huazhong Agricultural University, Wuhan, China
- National Key Laboratory of Crop Genetic Improvement and National Centre of Plant Gene Research (Wuhan), Huazhong Agricultural University, Wuhan, China
- *Correspondence: Ya-Wen Zhang, ; Jiaming Mi,
| | - Ya-Wen Zhang
- College of Plant Science and Technology, Huazhong Agricultural University, Wuhan, China
- *Correspondence: Ya-Wen Zhang, ; Jiaming Mi,
| | - Yuan-Ming Zhang
- College of Plant Science and Technology, Huazhong Agricultural University, Wuhan, China
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Mao Z, Di X, Xia S, Chen Q, Ma X, Chen M, Yang Z, Zhao F, Ling Y. Detecting and pyramiding target QTL for plant- and grain-related traits via chromosomal segment substitution line of rice. FRONTIERS IN PLANT SCIENCE 2022; 13:1020847. [PMID: 36589042 PMCID: PMC9800928 DOI: 10.3389/fpls.2022.1020847] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 08/16/2022] [Accepted: 10/26/2022] [Indexed: 06/17/2023]
Abstract
INTRODUCTION Plant height and grain length are important agronomic traits in rice, exhibiting a strong effect on plant architecture and grain quality of rice varieties. METHODS Methods: A novel rice chromosomal segment substitution line (CSSL), i.e., CSSL-Z1357, with significantly increased plant height (PH) and grain length (GL) was identified from CSSLs constructed by using Nipponbare as a receptor and a restorer line Xihui 18 as a donor. Seven agronomic traits of PH, PL, GL, GW, GPP, SPP, and TGW were phenotyped, and REML implemented in HPMIXED of SAS were used to detect the QTL for these traits. Secondary CSSLs were screened out via marker-assisted selection (MAS) to estimate the additive and epistatic effects of detected QTLs, evaluating the potential utilization of pyramiding the target QTLs for yield and quality improvement of rice varieties. RESULTS AND DISCUSSION Results and Discussion: CSSL-Z1357 carried nine segments from Xihui 18 with an average segment length of 4.13 Mb. The results show that the long grain of CSSL-Z1357 was caused by the increased number of surface cells and the length of the inner glume. Thirteen quantitative trait loci were identified via the F2 population of Nipponbare/CSSL-Z1357, including three each for GL (qGL-3, qGL-6, and qGL-7) and PH (qPH-1, qPH-7, and qPH-12I), among which qGL-3 increased GL by 0.23 mm with synergistic allele from CSSL-Z1357. Additionally, three single (S1 to S3), two double (D1, D2), and one triple segment (T1) substitution lines were developed in F3 via MAS. Results show that pyramiding the segments from Chr.3 (qGL-3 and qPH-3), Chr.6 (qGL-6 and qPH-6), and Chr.7 (Null and qPH-7) tended to result in better phenotype of increased GL and PH and decreased grain width, providing a potential basis for enhancing grain yield and quality in rice breeding.
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Li J, Yang H, Xu G, Deng K, Yu J, Xiang S, Zhou K, Zhang Q, Li R, Li M, Ling Y, Yang Z, He G, Zhao F. QTL Analysis of Z414, a Chromosome Segment Substitution Line with Short, Wide Grains, and Substitution Mapping of qGL11 in Rice. RICE (NEW YORK, N.Y.) 2022; 15:25. [PMID: 35532865 PMCID: PMC9085999 DOI: 10.1186/s12284-022-00571-7] [Citation(s) in RCA: 6] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 01/10/2022] [Accepted: 04/27/2022] [Indexed: 05/17/2023]
Abstract
Most agronomic traits of rice (Oryza sativa), such as grain length, are complex traits controlled by multiple genes. Chromosome segment substitution lines (CSSLs) are ideal materials for dissecting these complex traits. We developed the novel rice CSSL 'Z414', which has short, wide grains, from progeny of the recipient parent 'Xihui 18' (an indica restorer line) and the donor parent 'Huhan 3' (a japonica cultivar). Z414 contains four substitution segments with an average length of 3.04 Mb. Z414 displays seven traits that significantly differ from those of Xihui 18, including differences in grain length, width, and weight; degree of chalkiness; and brown rice rate. We identified seven quantitative trait loci (QTL) that are responsible for these differences in an F2 population from a cross between Xihui 18 and Z414. Among these, six QTL (qPL3, qGW5, qGL11, qRLW5, qRLW11, and qGWT5) were detected in newly developed single-segment substitution lines (SSSLs) S1-S6. In addition, four QTL (qGL3, qGL5, qCD3, and qCD5) were detected in S1 and S5. Analysis of these SSSLs attributed the short, wide grain trait of Z414 to qGL11, qGL3, qGL5, and qGW5. Substitution mapping delimited qGL11 within an 810-kb interval on chromosome 11. Sequencing, real time quantitative PCR, and cell morphology analysis revealed that qGL11 might be a novel QTL encoding the cyclin CycT1;3. Finally, pyramiding qGL3 (a = 0.43) and qGL11 (a = - 0.37) led to shorter grains in the dual-segment substitution line D2 and revealed that qGL11 is epistatic to qGL3. In addition, S1 and D2 exhibited different grain sizes and less chalkiness than Z414. In conclusion, the short grain phenotype of the CSSL Z414 is controlled by qGL11, qGL3, and qGL5. qGL11 might be a novel QTL encoding CycT1;3, whose specific role in regulating grain length was previously unknown, and qGL11 is epistatic to qGL3. S1 and D2 could potentially be used in hybrid rice breeding.
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Affiliation(s)
- Juan Li
- Rice Research Institute, Academy of Agricultural Sciences, Southwest University, Chongqing, 400715, China
| | - Hongxia Yang
- Rice Research Institute, Academy of Agricultural Sciences, Southwest University, Chongqing, 400715, China
| | - Guangyi Xu
- Rice Research Institute, Academy of Agricultural Sciences, Southwest University, Chongqing, 400715, China
| | - Keli Deng
- Rice Research Institute, Academy of Agricultural Sciences, Southwest University, Chongqing, 400715, China
| | - Jinjin Yu
- Rice Research Institute, Academy of Agricultural Sciences, Southwest University, Chongqing, 400715, China
| | - Siqian Xiang
- Rice Research Institute, Academy of Agricultural Sciences, Southwest University, Chongqing, 400715, China
| | - Kai Zhou
- Rice Research Institute, Academy of Agricultural Sciences, Southwest University, Chongqing, 400715, China
| | - Qiuli Zhang
- Rice Research Institute, Academy of Agricultural Sciences, Southwest University, Chongqing, 400715, China
| | - Ruxiang Li
- Rice Research Institute, Academy of Agricultural Sciences, Southwest University, Chongqing, 400715, China
| | - Miaomiao Li
- Rice Research Institute, Academy of Agricultural Sciences, Southwest University, Chongqing, 400715, China
| | - Yinghua Ling
- Rice Research Institute, Academy of Agricultural Sciences, Southwest University, Chongqing, 400715, China
| | - Zhenglin Yang
- Rice Research Institute, Academy of Agricultural Sciences, Southwest University, Chongqing, 400715, China
| | - Guanghua He
- Rice Research Institute, Academy of Agricultural Sciences, Southwest University, Chongqing, 400715, China
| | - Fangming Zhao
- Rice Research Institute, Academy of Agricultural Sciences, Southwest University, Chongqing, 400715, China.
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Sun S, Wang Z, Xiang S, Lv M, Zhou K, Li J, Liang P, Li M, Li R, Ling Y, He G, Zhao F. Identification, pyramid, and candidate gene of QTL for yield-related traits based on rice CSSLs in indica Xihui18 background. MOLECULAR BREEDING : NEW STRATEGIES IN PLANT IMPROVEMENT 2022; 42:19. [PMID: 37309460 PMCID: PMC10248596 DOI: 10.1007/s11032-022-01284-x] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 03/03/2021] [Accepted: 02/10/2022] [Indexed: 06/14/2023]
Abstract
Chromosome segment substitution line (CSSL) is important for functional analysis and design breeding of target genes. Here, a novel rice CSSL-Z431 was identified from indica restorer line Xihui18 as recipient and japonica Huhan3 as donor. Z431 contained six segments from Huhan3, with average substitution length of 2.12 Mb. Compared with Xihui18, Z431 increased panicle number per plant (PN) and displayed short-wide grains. The short-wide grain of Z431 was caused by decreased length and increased width of glume cell. Then, thirteen QTLs were identified in secondary F2 population from Xihui18/Z431. Again, eleven QTLs (qPL3, qPN3, qGPP12, qSPP12, qGL3, qGW5, qRLW2, qRLW3, qRLW5, qGWT3, qGWT5-2) were validated by six single-segment substitution lines (SSSLs, S1-S6) developed in F3. In addition, fifteen QTLs (qPN5, qGL1, qGL2, qGL5, qGW1, qGW5-1, qRLW1, qRLW5-2, qGWT1, qGWT2, qYD1, qYD2, qYD3, qYD5, qYD12) were detected by these SSSLs, while not be identified in the F2 population. Multiple panicles of Z431 were controlled by qPN3 and qPN5. OsIAGLU should be the candidate gene for qPN3. The short-wide grain of Z431 was controlled by qGL3, qGW5, etc. By DNA sequencing and qRT-PCR analysis, two best candidate genes for qGL3 and qGW5 were identified, respectively. In addition, pyramid of different QTLs in D1-D3 and T1-T2 showed independent inheritance or various epistatic effects. So, it is necessary to understand all genetic effects of target QTLs for designing breeding. Furthermore, these secondary substitution lines improved the deficiencies of Xihui18 to some extent, especially increasing yield per plant in S1, S3, S5, D1-D3, T1, and T2. Supplementary Information The online version contains supplementary material available at 10.1007/s11032-022-01284-x.
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Affiliation(s)
- Shuangfei Sun
- Rice Research Institute, Academy of Agricultural Science,, Southwest University, Chongqing, 400715 People’s Republic of China
| | - Zongbing Wang
- Rice Research Institute, Academy of Agricultural Science,, Southwest University, Chongqing, 400715 People’s Republic of China
| | - Siqian Xiang
- Rice Research Institute, Academy of Agricultural Science,, Southwest University, Chongqing, 400715 People’s Republic of China
| | - Meng Lv
- Rice Research Institute, Academy of Agricultural Science,, Southwest University, Chongqing, 400715 People’s Republic of China
| | - Kai Zhou
- Rice Research Institute, Academy of Agricultural Science,, Southwest University, Chongqing, 400715 People’s Republic of China
| | - Juan Li
- Rice Research Institute, Academy of Agricultural Science,, Southwest University, Chongqing, 400715 People’s Republic of China
| | - Peixuan Liang
- Rice Research Institute, Academy of Agricultural Science,, Southwest University, Chongqing, 400715 People’s Republic of China
| | - Miaomiao Li
- Rice Research Institute, Academy of Agricultural Science,, Southwest University, Chongqing, 400715 People’s Republic of China
| | - Ruxiang Li
- Rice Research Institute, Academy of Agricultural Science,, Southwest University, Chongqing, 400715 People’s Republic of China
| | - Yinghua Ling
- Rice Research Institute, Academy of Agricultural Science,, Southwest University, Chongqing, 400715 People’s Republic of China
| | - Guanghua He
- Rice Research Institute, Academy of Agricultural Science,, Southwest University, Chongqing, 400715 People’s Republic of China
| | - Fangming Zhao
- Rice Research Institute, Academy of Agricultural Science,, Southwest University, Chongqing, 400715 People’s Republic of China
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