Identification of QTLs for Plant Height and Its Components by Using Single Segment Substitution Lines in Rice (Oryza sativa)

Abstract

Abstract: QTLs for plant height and its components on the substituted segments of fifty-two single segment substitution lines (SSSLs) in rice were identified through t-test (P≤0.001) for comparison between each SSSL and recipient parent Huajingxian 74. On the 14 substituted segments, 24 QTLs were detected, 10 for plant height, 2 for panicle length, 4 for length of the first internode from the top, 5 for length of the second internode from the top and 3 for length of the third internode from the top, respectively. All these QTLs were distributed on nine rice chromosomes except chromosomes 5, 9 and 11. The additive effect ranged from –4.08 to 3.98 cm, and the additive effect percentages varied from –19.35% to 10.43%.

Key words: rice, single segment substitution line, plant height, quantitative trait locus

HE Feng-hua, XI Zhang-ying, ZENG Rui-zhen, Akshay TALUKDAR, ZHANG Gui-quan. Identification of QTLs for Plant Height and Its Components by Using Single Segment Substitution Lines in Rice (Oryza sativa)[J]. RICE SCIENCE, 2005, 12(3): 151-156 .

References

1 Chang T T, Zuro C, Marciano R A, Loresto G C. Semi-dwarfing genes in rice germplasm collection. Rice Genet Newsl, 1984, 1: 93–94.
2 Kinoshita T. Report of the committee on gene symbolization, nomenclature and linkage groups. Ⅱ. Report from coordinator: linkage mapping using mutant genes in rice. Rice Genet Newsl, 1998, 15: 13–74.
3 Liang C Z, Gu M H, Pan X B, Liang G H, Zhu L H. RFLP tagging of a new semi-dwarfing gene in rice. Theor Appl Genet, 1994, 88: 898–900.
4 Li X L, Wu C, Deng X J, Wang P R, Li R D, Yang Z R. Molecular tagging and effect analysis of a new small grain dwarf gene in rice. Acta Bot Sin, 2003, 45(7): 757–761.
5 Liang G H, Cao X Y, Sui J M, Zhao X Q, Yan C J, Yi C D, Gu M H. Fine mapping of semi-dwarfing gene sd-g in rice. Chinese Sci Bullet, 2004, 49(8): 778–783.
6 Hedden P. The genes of the green revolution. Trends Genet, 2003, 19: 5–9.
7 Huang N, Courtois B, Khush G S, Lin H X, Wang G L, Wu P, Zheng K L. Association of quantitative trait loci for plant height with major dwarfing genes in rice. Heredity, 1996, 77: 130–137.
8 Moncada P, Martinez C P, Borrero J, Chatel M, Gauch J H, Guimaraes E, Tohme J, McCouch S R. Quantitative trait loci for yield and yield components in an Oryza sativa×Oryza rufipogon BC2F2 population evaluated in an upland environment. Theor Appl Genet, 2001, 102: 41–52.
9 Brondani C, Rangel P H, Brondani R P V, Ferreira M E. QTL mapping and introgression of yield-related traits from Oryza glumaepatula to cultivated rice Oryza sativa using microsatellite markers. Theor Appl Genet, 2002, 104: 1192–1203.
10 Yu S B, Li J X, Xu C G, Tan Y F, Li X H, Zhang Q F. Identification of quantitative trait loci and epistatic interactions for plant height and heading date in rice. Theor Appl Genet, 2002, 104: 619–625.
11 Lin H X, Zhuang J Y, Qian H R, Lu J, Min S K, Xiong Z M, Huang N, Zheng K L. Mapping QTLs for plant height and its components by molecular markers in rice (Oryza sativa L.). Acta Agron Sin, 1996, 22(3): 257–263. (in Chinese with English abstract)
12 Tan Z B, Shen L S, Kuang H C, Lu C F, Chen Y, Zhou K D, Zhu L H. Identification of QTLs for lengths of the top internodes and other traits in rice and analysis of their genetic effects. Acta Genet Sin, 1996, 23(6): 439–446. (in Chinese with English abstract)
13 Yamamoto T, Taguchi S F, Ukai Y, Sasaki T, Yano M. Mapping quantitative trait loci for days-to-heading, and culm, panicle internode lengths in a BC1F3 population using an elite rice variety, Koshihikari, as the recurrent parent. Breeding Sci, 2001, 51: 63–71.
14 McCouch S R, Doerge R W. QTL mapping in rice. Trends Genet, 1995, 11: 482–487.
15 Eshed Y, Zamir D. An introgression line population of Lycopersicon pennellii in the cultivated tomato enables the identification and fine mapping of yield-associated QTL. Genetics, 1995, 141: 1147–1162.
16 Yu C Y, Wan J M, Zhai H Q, Wang C M, Jiang L, Xiao Y H, Liu Y Q. Analysis of heterosis for yield components in japonica/indica cross of rice using a CSSL population. Chinese Sci Bullet, 2005, 50(1): 32–37.
17 Liu G M, Li W T, Zeng R Z, Zhang G Q. Development of single segment substitution lines (SSSLs) of subspecies in rice. Chinese J Rice Sci, 2003, 17(3): 201–204. (in Chinese with English abstract)
18 He F H, Xi Z Y, Zeng R Z, Zhang G Q. Developing single segment substitution lines ( SSSLs ) in rice ( Oryza sativa L. ) using advanced backcrosses and MAS. Acta Genet Sin, 2005, 32(8): 825–831. (in Chinese with English abstract)
19 Liu G M, Li W T, Zeng R Z, Zhang Z M, Zhang G Q. Identification of QTLs on substituted segments in single segment substitution lines of rice. Acta Genet Sin, 2004, 31(12): 1395–1400. (in Chinese with English abstract)
20 He F H, Xi Z Y, Zeng R Z, Zhang G Q. Mapping heading date QTL in rice (Oryza sativa L. ) using single segment substitution lines (SSSLs). Acta Agric Sin, 2005, 38(8): 1505–1513. (in Chinese with English abstract)
21 McCouch S R, Cho Y G, Yano M, Paul E, Blinstrub M, Morishima H, Kinoshita T. Report on QTL nomenclature. Rice Genet Newsl, 1997, 14: 11–13.
22 Huang C F. Development of position-specific microsatellite markers and molecular mapping of insect resistant genes in rice (Oryza sativa L.). MS thesis. Guangzhou: South China Agricultural University, 2003. (in Chinese with English abstract)
23 Sakamoto T, Miura K, Itoh H, Tatsumi T, Ueguchi T M, Ishiyama K, Kobayashi M, Agrawal G K, Takeda S, Abe K, Miyao A, Hirochika H, Kitano H, Ashikari M, Matsuoka M. An overview of gibberellin metabolism enzyme genes and their related mutants in rice. Plant Physiol, 2004, 134: 1642–1653.
24 Robertson D S. A possible technique for isolating genomic DNA for quantitative traits in plants. J Theor Biol, 1985, 117: 1–10.
25 Mao C Z, Cheng S H. Analysis of accuracy and influence factor in QTL mapping about agronomic traits in rice (Oryza sativa L.). J Agric Biotech, 1999, 7(4): 368–394. (in Chinese with English abstract)
26 Eshed Y, Zamir D. Less-than-additive epistatic inter- actions of quantitative trait loci in tomato. Genetics, 1996, 143: 1807–1817.
27 Foster K W, Rutger J N. Inheritance of semi-dwarfism in rice, Oryza sativa L. Genetics, 1978, 88: 559–574.

[1]	LI Qianlong, FENG Qi, WANG Heqin, KANG Yunhai, ZHANG Conghe, DU Ming, ZHANG Yunhu, WANG Hui, CHEN Jinjie, HAN Bin, FANG Yu, WANG Ahong. Genome-Wide Dissection of Quan 9311A Breeding Process and Application Advantages [J]. Rice Science, 2023, 30(6): 7-.
[2]	JI Dongling, XIAO Wenhui, SUN Zhiwei, LIU Lijun, GU Junfei, ZHANG Hao, Tom Matthew HARRISON, LIU Ke, WANG Zhiqin, WANG Weilu, YANG Jianchang. Translocation and Distribution of Carbon-Nitrogen in Relation to Rice Yield and Grain Quality as Affected by High Temperature at Early Panicle Initiation Stage [J]. Rice Science, 2023, 30(6): 12-.
[3]	Prathap V, Suresh KUMAR, Nand Lal MEENA, Chirag MAHESHWARI, Monika DALAL, Aruna TYAGI. Phosphorus Starvation Tolerance in Rice Through a Combined Physiological, Biochemical and Proteome Analysis [J]. Rice Science, 2023, 30(6): 8-.
[4]	Serena REGGI, Elisabetta ONELLI, Alessandra MOSCATELLI, Nadia STROPPA, Matteo Dell’ANNO, Kiril PERFANOV, Luciana ROSSI. Seed-Specific Expression of Apolipoprotein A-I_Milano Dimer in Rice Engineered Lines [J]. Rice Science, 2023, 30(6): 6-.
[5]	Sundus ZAFAR, XU Jianlong. Recent Advances to Enhance Nutritional Quality of Rice [J]. Rice Science, 2023, 30(6): 4-.
[6]	Kankunlanach KHAMPUANG, Nanthana CHAIWONG, Atilla YAZICI, Baris DEMIRER, Ismail CAKMAK, Chanakan PROM-U-THAI. Effect of Sulfur Fertilization on Productivity and Grain Zinc Yield of Rice Grown under Low and Adequate Soil Zinc Applications [J]. Rice Science, 2023, 30(6): 9-.
[7]	FAN Fengfeng, CAI Meng, LUO Xiong, LIU Manman, YUAN Huanran, CHENG Mingxing, Ayaz AHMAD, LI Nengwu, LI Shaoqing. Novel QTLs from Wild Rice Oryza longistaminata Confer Rice Strong Tolerance to High Temperature at Seedling Stage [J]. Rice Science, 2023, 30(6): 14-.
[8]	LIN Shaodan, YAO Yue, LI Jiayi, LI Xiaobin, MA Jie, WENG Haiyong, CHENG Zuxin, YE Dapeng. Application of UAV-Based Imaging and Deep Learning in Assessment of Rice Blast Resistance [J]. Rice Science, 2023, 30(6): 10-.
[9]	Md. Forshed DEWAN, Md. AHIDUZZAMAN, Md. Nahidul ISLAM, Habibul Bari SHOZIB. Potential Benefits of Bioactive Compounds of Traditional Rice Grown in South and South-East Asia: A Review [J]. Rice Science, 2023, 30(6): 5-.
[10]	Raja CHAKRABORTY, Pratap KALITA, Saikat SEN. Phenolic Profile, Antioxidant, Antihyperlipidemic and Cardiac Risk Preventive Effect of Chakhao Poireiton (A Pigmented Black Rice) in High-Fat High-Sugar induced Rats [J]. Rice Science, 2023, 30(6): 11-.
[11]	Nazaratul Ashifa Abdullah Salim, Norlida Mat Daud, Julieta Griboff, Abdul Rahim Harun. Elemental Assessments in Paddy Soil for Geographical Traceability of Rice from Peninsular Malaysia [J]. Rice Science, 2023, 30(5): 486-498.
[12]	Monica Ruffini Castiglione, Stefania Bottega, Carlo Sorce, Carmelina SpanÒ. Effects of Zinc Oxide Particles with Different Sizes on Root Development in Oryza sativa [J]. Rice Science, 2023, 30(5): 449-458.
[13]	Ammara Latif, Sun Ying, Pu Cuixia, Noman Ali. Rice Curled Its Leaves Either Adaxially or Abaxially to Combat Drought Stress [J]. Rice Science, 2023, 30(5): 405-416.
[14]	Liu Qiao, Qiu Linlin, Hua Yangguang, Li Jing, Pang Bo, Zhai Yufeng, Wang Dekai. LHD3 Encoding a J-Domain Protein Controls Heading Date in Rice [J]. Rice Science, 2023, 30(5): 437-448.
[15]	Lu Xuedan, Li Fan, Xiao Yunhua, Wang Feng, Zhang Guilian, Deng Huabing, Tang Wenbang. Grain Shape Genes: Shaping the Future of Rice Breeding [J]. Rice Science, 2023, 30(5): 379-404.