Welcome to Acta Agronomica Sinica,

Acta Agron Sin ›› 2012, Vol. 38 ›› Issue (10): 1802-1809.doi: 10.3724/SP.J.1006.2012.01802


Dynamic Analysis of QTL for Plant Height of Rapeseed at Different Developmental Stages

XIE Tian-Tian1,2, CHEN Yu-Bo3,2, HUANG Ji-Xiang2, ZHANG Yao-Feng2, XU Ai-Xia 4, CHEN Fei2, NI Xi-Yuan2, and ZHAO Jian-Yi2,*   

  1. 1 College of Chemistry and Life Sciences, Zhejiang Normal University, Jinhua 321000, China; 2 Institute of Crop and Nuclear Technology Utilization, Zhejiang Academy of Agricultural Sciences, Hangzhou 310021, China; 3 College of Life and Environmental Sciences, Hangzhou Normal University, Hangzhou 310036, China; 4 College of Agronomy, Northwest Agricultural and forestry University, Yangling 712100, China
  • Received:2012-03-04 Revised:2012-06-10 Online:2012-10-12 Published:2012-07-27
  • Contact: 赵坚义, E-mail: jyzhao3@yahoo.com, Tel: 0571-86403406


The main objective of this study was to explore the genetic control mechanism of plant height in rapeseed and to reveal its dynamic gene expression in specific growing period. Taking advantage of the updated SG map, we determined phenotypic data of plant height from 282 SG-DH lines in three environments and eight development stages, and analyzed both static and dynamic quantitative trait locus (QTL) with unconditional and conditional mapping approach. The results showed that when alleles from Gaoyou existed in two major QTLs PHA3 and PHC6 synchronously, the plant height could decrease about 20 cm; when alleles of plant height came from Sollux in PHA9 and PHC1, and Gaoyou in PHA1, PHA3 and PHC6, the plantsfell 40 cm in height. The mechanism of QTL for plant height was less affected by environment, but various QTLs showed difference in gene expression patterns: plant height was dominated by alleles from one of parents or from two parents by turns at different stages. In general, the QTL for plant height could be detected from the middle to late stages, while the gene expression appeared shortly and only during the most active growing period, in congruent with the rule of “trait appearance goes after genetic expression”.

Key words: Brasscia napus L., Plant height, Developmental stage, Static QTL, Dynamic QTL

[1]Becker H C, Loptien H, Robblen G. Breeding of Brassica: An overview In: Gomez-Campo C, ed. Biology of Brassica coenospecies. Amsterdam: Elsevier, Science BV, 1999. pp 413–460

[2]Liu H-S(刘后利). Practical Rapeseed Cultivation. Shanghai: Shanghai Scientific and Technical Publishers, 1987. pp 256–260, 538–539 (in Chinese)

[3]Islam N, Evans E J. Influence of lodging and nitrogen rate on the yield and yield attributes of oilseed rape (Brassica napus L.). Theor Appl Genet, 1994, 88: 530–534

[4]Buzza G C. Brassica oilseed: Production and Utilization. In: Kimber D, McGregor D I, eds. Plant Breeding. Cambridge: University Press, 1995. pp 153–175

[5]Butruille D V, Guries R P, Osborn T C. Linkage analysis of molecular markers and quantitative trait loci in populations of inbred backcross lines of Brassica napus L. Genetics, 1999, 153: 949–964

[6]Mei D-S(梅德圣). Mapping QTLs of Plant Height and Flowering Time and Identification of Molecular Markers for Yellow Seed Trait in Brassica napus. PhD Dissertation of Chinese Academy of Agricultural Sciences, 2004 (in Chinese with English abstract)

[7]Udall J A, Quijada P A, Lambert B, Osborn T C. Identification of alleles from unadapted germplasm affecting seed yield and other quantitative traits in hybrid spring oilseed Brassica napus L. Theor Appl Genet, 2006, 113: 597–609

[8]Quijada P A, Udall J A, Lambert B, Osborn T C. Identification of genomic regions from winter germplasm that affect seed yield and other complex traits in hybrid spring rapeseed (Brassica napus L.). Theor Appl Genet, 2006, 113: 549–561

[9]Chen W, Zhang Y, Liu X P, Chen B Y, Tu J X, Fu T D. Detection of QTL for six yield-related traits in oilseed rape (Brassica napus) using DH and immortalized F2 populations. Theor Appl Genet, 2007, 115: 849–858

[10]Gao B-J(高必军). Cloning of the napin Gene Promoter and Preliminary QTL of Some Agronomical Import Traits in Brassica napus. PhD Dissertation of Sichuan Agricultural University, 2007. pp 1–105 (in Chinese with English abstract)

[11]Wang F(王峰). Genetic Linkage Map Construction and QTL Analysis of Important Agronomic and Quality Traits in Rapeseed (Brassica napus L.). PhD Dissertation of Hunan Agricultural University, 2009. pp 1–60 (in Chinese with English abstract)

[12]Henderson C R. A simple method to account for selected base populations. J Dairy Sci, 1988, 71: 3399–3404

[13]Zhu J. Analysis of conditional genetic effects and variance components in developmental genetics. Genetics, 1995, 141: 1633–1639

[14]Wu W-R(吴为人), Li W-M(李维明), Lu H-R(卢浩然). Strategy of dynamic mapping of quantitative trait loci. J Biomathem (生物数学学报), 1997, 12(5): 490–495 (in Chinese with English abstract)

[15]Yan J, Zhu J, He C, Benmoussa M, Wu P. Molecular dissection of developmental behavior of plant height in rice (Oryza sativa L.). Genetics, 1998, 150: 1257–1265

[16]Yang G, Xing Y, Li S, Ding J, Yue B, Deng K, Li Y, Zhu Y. Molecular dissection of developmental behavior of tiller number and plant height and their relationship in rice (Oryza sativa L.). Hereditas, 2006, 143: 236–245

[17]Cui F, Li J, Ding A, Zhao C, Wang L, Wang X, Li S, Bao Y, Li X, Feng D, Kong L, Wang H. Conditional QTL mapping for plant height with respect to the length of the spike and internode in two mapping populations of wheat. Theor Appl Genet, 2011, 12: 1517–1536

[18]Yan J-B(严建兵), Tang H(汤华), Huang Y-Q(黄益勤), Shi Y-G(石永刚), Li J-S(李建生), Zheng Y-L(郑用琏). Dynamic analysis of QTL for plant height at different developmental stages in maize. Chin Sci Bull (科学通报), 2003, 48(18): 1959–1964 (in Chinese)

[19]Sun D-S(孙德生), Li W-B(李文滨), Zhang Z-C(张忠臣), Chen Q-S(陈庆山), Yang Q-K(杨庆凯). Analysis of QTL for plant height at different developmental stages in soybean. Acta Agron Sin (作物学报), 2006, 32(4): 509–514 (in Chinese with English abstract)

[20]Zhao J Y, Becker H C, Zhang D Q, Zhang Y F, Ecke W. Conditional QTL mapping of oil content in rapeseed with respect to protein content and traits related to plant development and grain yield. Theor Appl Genet, 2006, 113: 33–38

[21]Zhao J Y, Becker H C, Zhang D Q, Zhang Y, Ecke W. Oil content in a European × Chinese rapeseed population: QTL with additive and epistatic effects and their genotype-environment interactions. Crop Sci, 2005, 45: 51–59

[22]Zhao J Y, Huang J X, Chen F, Xu F, Ni X Y, Xu H M, Wang Y L, Jiang C C, Wang H, Xu A X, Huang R Z, Li D R, Meng J L. Molecular mapping of Arabidopsis thaliana lipid-related orthologous genes in Brassica napus. Theor Appl Genet, 2012, 124: 407–421

[23]Zeng Z B. Precision mapping of quantitative trait loci. Genetics, 1994, 136: 1457–1468

[24]Foisset N, Delourme R, Barret P, Renard M. Molecular tagging of the dwarf BREIZH (Bzh) gene in Brassica napus. Theor Appl Genet, 1995, 91: 756–761

[25]Liu C, Wang J, Huang T, Wang F, Yuan F, Cheng X, Zhang Y, Shi S, Wu J, Liu K. A missense mutation in the VHYNP motif of a DELLA protein causes a semi-dwarf mutant phenotype in Brassica napus. Theor Appl Genet, 2010, 121: 249–258

[26]Zeng X, Zhu L, Chen Y, Qi L, Pu Y, Wen J, Yi B, Shen J, Ma C, Tu J, Fu T. Identification, fine mapping and characterization of a dwarf mutant (bnaC.dwf) in Brassica napus. Theor Appl Genet, 2011, 122: 421–428

[1] HU Wen-Jing, LI Dong-Sheng, YI Xin, ZHANG Chun-Mei, ZHANG Yong. Molecular mapping and validation of quantitative trait loci for spike-related traits and plant height in wheat [J]. Acta Agronomica Sinica, 2022, 48(6): 1346-1356.
[2] YU Chun-Miao, ZHANG Yong, WANG Hao-Rang, YANG Xing-Yong, DONG Quan-Zhong, XUE Hong, ZHANG Ming-Ming, LI Wei-Wei, WANG Lei, HU Kai-Feng, GU Yong-Zhe, QIU Li-Juan. Construction of a high density genetic map between cultivated and semi-wild soybeans and identification of QTLs for plant height [J]. Acta Agronomica Sinica, 2022, 48(5): 1091-1102.
[3] WANG Ze, ZHOU Qin-Yang, LIU Cong, MU Yue, GUO Wei, DING Yan-Feng, NINOMIYA Seishi. Estimation and evaluation of paddy rice canopy characteristics based on images from UAV and ground camera [J]. Acta Agronomica Sinica, 2022, 48(5): 1248-1261.
[4] FU Mei-Yu, XIONG Hong-Chun, ZHOU Chun-Yun, GUO Hui-Jun, XIE Yong-Dun, ZHAO Lin-Shu, GU Jia-Yu, ZHAO Shi-Rong, DING Yu-Ping, XU Yan-Hao, LIU Lu-Xiang. Genetic analysis of wheat dwarf mutant je0098 and molecular mapping of dwarfing gene [J]. Acta Agronomica Sinica, 2022, 48(3): 580-589.
[5] WANG Ying, GAO Fang, LIU Zhao-Xin, ZHAO Ji-Hao, LAI Hua-Jiang, PAN Xiao-Yi, BI Chen, LI Xiang-Dong, YANG Dong-Qing. Identification of gene co-expression modules of peanut main stem growth by WGCNA [J]. Acta Agronomica Sinica, 2021, 47(9): 1639-1653.
[6] HAN Yu-Zhou, ZHANG Yong, YANG Yang, GU Zheng-Zhong, WU Ke, XIE Quan, KONG Zhong-Xin, JIA Hai-Yan, MA Zheng-Qiang. Effect evaluation of QTL Qph.nau-5B controlling plant height in wheat [J]. Acta Agronomica Sinica, 2021, 47(6): 1188-1196.
[7] SHEN Wen-Qiang, ZHAO Bing-Bing, YU Guo-Ling, LI Feng-Fei, ZHU Xiao-Yan, MA Fu-Ying, LI Yun-Feng, HE Guang-Hua, ZHAO Fang-Ming. Identification of an excellent rice chromosome segment substitution line Z746 and QTL mapping and verification of important agronomic traits [J]. Acta Agronomica Sinica, 2021, 47(3): 451-461.
[8] FU Hong-Yu, CUI Guo-Xian, LI Xu-Meng, SHE Wei, CUI Dan-Dan, ZHAO Liang, SU Xiao-Hui, WANG Ji-Long, CAO Xiao-Lan, LIU Jie-Yi, LIU Wan-Hui, WANG Xin-Hui. Estimation of ramie yield based on UAV (Unmanned Aerial Vehicle) remote sensing images [J]. Acta Agronomica Sinica, 2020, 46(9): 1448-1455.
[9] JIANG Peng,HE Yi,ZHANG Xu,WU Lei,ZHANG Ping-Ping,MA Hong-Xiang. Genetic analysis of plant height and its components for wheat (Triticum aestivum L.) cultivars Ningmai 9 and Yangmai 158 [J]. Acta Agronomica Sinica, 2020, 46(6): 858-868.
[10] Juan MA, Yan-Yong CAO, Li-Feng WANG, Jing-Jing LI, Hao WANG, Yan-Ping FAN, Hui-Yong LI. Identification of gene co-expression modules of maize plant height and ear height by WGCNA [J]. Acta Agronomica Sinica, 2020, 46(3): 385-394.
[11] HUO Qiang,YANG Hong,CHEN Zhi-You,JIAN Hong-Ju,QU Cun-Min,LU Kun,LI Jia-Na. Candidate genes screening for plant height and the first branch height based on QTL mapping and genome-wide association study in rapessed (Brassica napus L.) [J]. Acta Agronomica Sinica, 2020, 46(02): 214-227.
[12] CUI Yue,LU Jian-Nong,SHI Yu-Zhen,YIN Xue-Gui,ZHANG Qi-Hao. Genetic analysis of plant height related traits in Ricinus communis L. with major gene plus polygenes mixed model [J]. Acta Agronomica Sinica, 2019, 45(7): 1111-1118.
[13] Cong HUANG,Xiao-Fang LI,Ding-Guo LI,Zhong-Xu LIN. QTL Mapping for Yield, Growth Period and Plant Height Traits Using MAGIC Population in Upland Cotton [J]. Acta Agronomica Sinica, 2018, 44(9): 1320-1333.
[14] Zhong-Xiang LIU,Mei YANG,Peng-Cheng YIN,Yu-Qian ZHOU,Hai-Jun HE,Fa-Zhan QIU. Fine Mapping and Genetic Effect Analysis of a Major QTL qPH3.2 Associated with Plant Height in Maize (Zea mays L.) [J]. Acta Agronomica Sinica, 2018, 44(9): 1357-1366.
[15] Wei-Gang CHEN,Jian-Bin GUO,Zhi-Jun XU,Bo-Lun YU,Xi-Ke QIU,Li HUANG,Yan-Bin SONG,Yu-Ning CHEN,Xiao-Jing ZHOU,Huai-Yong LUO,Nian LIU,Xiao-Ping REN,Hui-Fang JIANG. QTL Mapping for Shelling Percentage and Plant Height in Cultivated Peanut (Arachis hypogaea L.) [J]. Acta Agronomica Sinica, 2018, 44(8): 1142-1151.
Full text



No Suggested Reading articles found!