Molecular Improvement of Grain Weight and Yield in Rice by Using GW6 Gene

doi:10.1016/S1672-6308(13)60175-4

摘要/Abstract

摘要：

Molecular design breeding is one of straightforward approaches to break yield barriers in rice. In this study, GW6 gene for grain length and width from Baodali was transferred into an indica recurrent parent 9311 and a japonica variety Zhonghua 11 (ZH11) using marker-assisted backcross (MAB). One and three introgression lines were selected for phenotypic analysis from 9311 and ZH11 genetic backgrounds, respectively. SSL-1, an improved 9311 near isogenic line with GW6 performed 11%, 19% and 6.7% higher of grain length, 1000-grain weight and single plant yield, respectively, as compared with 9311. All the three improved ZH11-GW6 lines, R1, R2 and R3, had more than 30% increase in grain weight and about 7% higher in grain yield. Seed plumpness of R1, R2 and R3 was improved synchronously because the three ZH11-GW6 lines contained GIF1 (Grain Incomplete Filling 1), a dominant grain filling gene. Thus, GW6 has high potential in increasing the yield of inbred lines through MAB, making it an important genetic resource in super hybrid rice breeding. This study provides insights in the utilization of GW6 for large grain and high yield rice breeding via molecular design breeding.

关键词: rice, GW6 gene, molecular marker-assisted selection, yield

LI Yuan-yuan, TAO Hong-jian, ZHAO Xiang-qian, XU Jie, LI Geng-mi, HU Shi-kai, DONG Guo-jun, SHI Zheng-yuan, WU Li-wen, HU Jiang, YE Guo-you, GUO Long-biao. Molecular Improvement of Grain Weight and Yield in Rice by Using GW6 Gene[J]. RICE SCIENCE, DOI: 10.1016/S1672-6308(13)60175-4 .

参考文献

Ando T, Yamamoto T, Shimizu T, Ma X F, Shomura A, Takeuchi Y, Lin S Y, Yano M. 2008. Genetic dissection and pyramiding of quantitative traits for panicle architecture by using chromosomal segment substitution lines in rice. Theor Appl Genet, 116(6): 881–890.
Ashikari M, Matsuoka M. 2006. Identification, isolation and pyramiding of quantitative trait loci for rice breeding. Trends Plant Sci, 11(7): 344–350.
Brondani C, Rangel N, Brondani V, Ferreira E. 2002. QTL mapping and introgression of yield-related traits from Oryza glumaepatula to cultivated rice (Oryza sativa) using microsatellite markers. Theor Appl Genet, 104(6/7): 1192–1203.
Chen S, Lin X H, Xu C G, Zhang Q F. 2000. Improvement of bacterial blight resistance of ‘Minghui 63’, an elite restorer line of hybrid rice, by molecular marker-assisted selection. Crop Sci, 40(1): 239–244.
Fan C C, Xing Y Z, Mao H L, Lu T T, Han B, Xu C G, Li X H, Zhang Q F. 2006. GS3, a major QTL for grain length and weight and minor QTL for grain width and thickness in rice, encodes a putative transmembrane protein. Theor Appl Genet, 112(6): 1164–1171.
Gao Z Y, Zhao S C, He W M, Guo L B, Peng Y L, Wang J J, Guo X S, Zhang X M, Rao Y C, Zhang C, Dong G J, Zheng F Y, Lu C X, Hu J, Zhou Q, Liu H J, Wu H Y, Xu J, Ni P X, Zeng D L, Liu D H, Tian P, Gong L H, Ye C, Zhang G H, Wang J, Tian F K, Xue D W, Liao Y, Zhu L, Chen M S, Li J Y, Cheng S H, Zhang G Y, Wang J, Qian Q. 2013. Dissecting yield-associated loci in super hybrid rice by resequencing recombinant inbred lines and improving parental genome sequences. Proc Natl Acad Sci USA, 110(35): 14492–14497.
Guo L B, Cheng S H, Qian Q. 2008. Progress and prospects of breeding by gene design in rice. Chin J Rice Sci, 22(6): 650–657. (in Chinese with English abstract)
Guo L B, Ma L L, Jiang H, Zeng D L, Hu J, Wu L W, Gao Z Y, Zhang G H, Qian Q. 2009. Genetic analysis and fine mapping of two genes for grain shape and weight in rice. J Integr Plant Biol, 51(1): 45–51.
Han B, Huang X H. 2013. Sequencing-based genome-wide association study in rice. Curr Opin Plant Biol, 16: 133–138.
Huang X Z, Qian Q, Liu Z B, Sun H Y, He S Y, Luo D, Xia G M, Chu C C, Li J Y, Fu X D. 2009. Natural variation at the DEP1 locus enhances grain yield in rice. Nat Genet, 41(4): 494–497.
Ikeda M, Miura K, Aya K, Kitano H, Matsuoka M. 2013. Genes offering the potential for designing yield-related traits in rice. Curr Opin Plant Biol, 16(2): 213–220.
Liu J, Tao H J, Shi S, Ye W J, Qian Q, Guo L B. 2012. Genetics and breeding improvement for panicle type in rice. Chin J Rice Sci, 26(2): 227–234. (in Chinese with English abstract)
Liu S P, Li X, Wang Z Y, Li X H, He Y Q. 2003. Gene pyramiding to increase the blast resistance in rice. Mol Plant Breeding, 1(1): 22–26. (in Chinese with English abstract)
Ma L L, Guo L B, Qian Q. 2006. Germplasm resources and genetic analysis of large grain in rice. Chin Bull Bot, 23(4): 395–401. (in Chinese with English abstract)
Miura K, Ikeda M, Matsubara A, Song X J, Ito M, Asano K, Matsuoka M, Kitano H, Ashikari M. 2010. OsSPL14 promotes panicle branching and higher grain productivity in rice. Nat Genet, 42(6): 545–549.
Murray M G, Thompson W F. 1980. Rapid isolation of high molecular weight plant DNA. Nucl Acids Res, 8(19): 4321–4325.
Pei Q L, Wang C L, Liu P Q, Wang J, Zhao K J. 2011. Marker-assisted selection for pyramiding disease and insect resistance genes in rice. Chin J Rice Sci, 25(2): 119–129. (in Chinese with English abstract)
Shomura A, Izawa T, Ebana K, Ebitani T, Kanegae H, Konishi S, Yano M. 2008. Deletion in a gene associated with grain size increased yields during rice domestication. Nat Genet, 40(8): 1023–1028.
Singh S, Sidhu J S, Huang N, Vikal Y, Li Z, Brar D S, Dhaliwal H S, Khush G S. 2001. Pyramiding three bacterial blight resistance genes (Xa5, Xa13 and Xa21) using marker assisted selection into indica rice cultivar PR106. Theor Appl Genet, 102(6/7): 1011–1015.
Song X J, Huang W, Shi M, Zhu M Z, Lin H X. 2007. A QTL for rice grain width and weight encodes a previously unknown RING-type E3 ubiquitin ligase. Nat Genet, 39(5): 623–630.
Suh J P, Jeung J U, Noh T H, Cho Y C, Park S H, Park H S, Shin M S, Kim C K, Jena K K. 2013. Development of breeding lines with three pyramided resistance genes that confer broad-spectrum bacterial blight resistance and their molecular analysis in rice. Rice, 6: 5.
Thomson M J, Tai T H, McClung A M, Lai X H, Hinga M E, Lobos K B, Xu Y, Martinez C P, McCcouch S R. 2003. Mapping quantitative trait loci for yield, yield components and morphological traits in an advanced backcross population between Oryza rufipogon and the Oryza sativa cultivar Jefferson. Theor Appl Genet, 107: 479–493.
Wang E T, Wang J J, Zhu X D, Hao W, Wang L Y, Li Q, Zhang L X, He W, Lu B R, Lin H X, Ma H, Zhang G Q, He Z H. 2008. Control of rice grain-filling and yield by a gene with a potential signature of domestication. Nat Genet, 40: 1370–1374.
Wang P, Xing Y Z, Li Z K, Yu S B. 2012. Improving rice yield and quality by QTL pyramiding. Mol Breeding, 29(4): 903–913.
Wang S K, Wu K, Yuan Q B, Liu X Y, Liu Z B, Lin X Y, Zeng R Z, Zhu H T, Dong G J, Qian Q, Zhang G Q, Fu X D. 2012. Control of grain size, shape and quality by OsSPL16 in rice. Nat Genet, 44(8): 950–954.
Xing Y Z, Tan Y F, Xu C G, Hua J P, Sun X L. 2001. Mapping quantitative trait loci for grain appearance traits of rice using a recombinant inbred line population. Acta Bot Sin, 43(8): 840–845. (in Chinese with English abstract)
Xu J L, Xue Q Z, Luo L J, Li Z K. 2002. Genetic dissection of grain weight and its related traits in rice (Oryza sativa L.). Chin J Rice Sci, 16(1): 6–10. (in Chinese with English abstract)
Xue W Y, Xing Y Z, Weng X Y, Zhao Y, Tang W J, Wang L, Zhou H J, Yu S B, Xu C G, Li X H, Zhang Q F. 2008. Natural variation in Ghd7 is an important regulator of heading date and yield potential in rice. Nat Genet, 40(6): 761–767.
Yang T F, Zeng R Z, Zhu H T, Chen L, Zhang Z M, Ding X H, Li W T, Zhang G Q. 2010. Effect of grain length gene GS3 in pyramiding breeding of rice. Mol Plant Breeding, 8(1): 59–66. (in Chinese with English abstract)
Yu S B, Li J X, Xu C G, Tan Y F, Gao Y J, Li X H, Zhang Q F, Maroof M A. 1997. Importance of epistasis as the genetic basis of heterosis in an elite rice hybrid. Proc Natl Acad Sci USA, 94(17): 9226–9231.
Zhang X J, Wang J F, Huang J, Lan H X, Wang C L, Yin C F, Wu Y Y, Tang H J, Qian Q, Li J Y, Zhang H S. 2012. Rare allele of OsPPKL1 associated with grain length causes extra-large grain and a significant yield increase in rice. Proc Natl Acad Sci USA, 109(52): 21534–21539.
Zong G, Wang A H, Wang L, Liang G H, Gu M H, Sang T, Han B. 2012. A pyramid breeding of eight grain-yield related quantitative trait loci based on marker-assistant and phenotype selection in rice (Oryza sativa L.). J Genet Genom, 39: 335–350.

[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]	. [J]. Rice Science, 2021, 28(3): 217-232.
[12]	. [J]. Rice Science, 2019, 26(2): 118-124.
[13]	. [J]. Rice Science, 2019, 26(2): 77-87.
[14]	. [J]. Rice Science, 2019, 26(2): 88-97.
[15]	. [J]. Rice Science, 2019, 26(2): 98-108.