Welcome to Acta Agronomica Sinica，

Acta Agron Sin ›› 2011, Vol. 37 ›› Issue (03): 381-388.doi: 10.3724/SP.J.1006.2011.00381

• CROP GENETICS & BREEDING · GERMPLASM RESOURCES · MOLECULAR GENETICS •     Next Articles

Mapping QTLs for Seminal Root Architecture and Coleoptile Length in Wheat

LIU Xiu-Lin1,2,CHANG Xiao-Ping2,LI Run-Zhi1,JING Rui-Lian2,*   

  1. 1 Shanxi Agricultural University, Taigu 030801, Shanxi, China; 2 National Key Facility for Crop Gene Resources and Genetic Improvement / Key Laboratory of Crop Germplasm & Biotechnology, Ministry of Agriculture / Institute of Crop Science, Chinese Academy of Agricultural Sciences, Beijing 100081, China
  • Received:2010-08-18 Revised:2010-12-06 Online:2011-03-12 Published:2011-01-17
  • Contact: 景蕊莲, E-mail: jingrl@caas.com.cn

PDF

1473

Cited

10

Abstract: Root system is important for belowground nutrients acquisition, and is also an important part to respond to drought stress. The purpose of this study was to dissect the genetic basis of seminal root architecture and coleoptile length of wheat by mapping quantitative trait loci (QTLs) of target traits. A doubled haploid (DH) population with 150 lines derived from a cross between two common Chinese wheat varieties Hanxuan 10 and Lumai 14 was used as the plant materials. Gel-chamber was employed to evaluate seminal root architecture traits, including maximum root length (MRL), root number (RN), total root length (TRL), root diameter (RD), root angle (RA), ratio of root dry weight to shoot dry weight (RDW/SDW), and coleoptile length (CL) of seedlings. QTLs for these traits were detected using mixed-model-based composite interval mapping method. A total of 12 additive-effect QTLs and 7 pairs of additive × additive QTLs associated with the target traits were mapped on chromosomes 1A, 1B, 2B, 2D, 3B, 4A, 4D, 5A, 5B, 6A, 7A, and 7B. The phenotypic variation explained by individual additive-effect QTL varied from 5.64% to 12.37%. The additive effects ranged from 0.20 to 7.45. The phenotypic variation explained by each pair of epistatic QTLs varied from 8.70% to 15.90%. Two QTL clusters for seedling root traits were detected on chromosomes 3B and 7A. These results would be helpful to maker-assisted selection of seminal root architecture and coleoptile.

Key words: Wheat, Seminal root architecture, Coleoptile length, QTL, DH lines, Gel-chamber

[1]Ma Y-X(马元喜). The Root of Wheat (小麦的根). Beijing: China Agriculture Press, 1999. pp 1–20 (in Chinese)
[2]Manschadi A M, Hammer G L, Christopher J T, deVoil P. Genotypic variation in seedling root architectural traits and implications for drought adaptation in wheat (Triticum aestivum L.). Plant Soil, 2008, 303: 115–129
[3]Manschadi A M, Christopher J, de Voil P, Hammer G L. The role of root architectural traits in adaptation of wheat to water-limited environments. Funct Plant Biol, 2006, 33: 823–837
[4]Hurd E A. Growth of roots of seven varieties of spring wheat at high and low moisture levels. Agron J, 1968, 60: 201–205
[5]Miao G-Y(苗果园), Zhang Y-T(张云亭), Yin J(尹钧), Hou Y-S(侯跃生), Pan X-L(潘幸来). A study on the development of root system in winter wheat under unirrigated conditions in semi-arid loess plateau. Acta Agron Sin (作物学报), 1989, 19(2): 104–115 (in Chinese with English abstract)
[6]Liang Y-L(梁银丽), Chan P-Y(陈培元). Characteristic of Wheat Varieties in Arid Region (旱地小麦品种的特征特性). In: Shan L. Fundamentals of Physiology and Ecology in Arid Agriculture. Beijing: Science Press, 1998. pp 259–266 (in Chinese)
[7]Li L-H(李鲁华), Li S-Q(李世清), Zhai J-H(翟军海), Shi J-H(史俊海). Review of the relationship between wheat roots and water stress. Acta Bot Boreali-Occident Sin (西北植物学报), 2001, 21(1): 1–7 (in Chinese with English abstract)
[8]Chang X-P(昌小平), Wang H(王嬛), Yang L(杨莉). Changes of root activity and water state at seedling stage of winter wheat varieties with different drought-resistance under different water conditions. Plant Physio Commun (植物生理学通讯), 1996, 32(3): 178–182 (in Chinese with English abstract)
[9]Duan S-S(段舜山), Gu W-X(谷文祥), Zhang D-Y(张大勇), Li F-M(李凤民). Relationship between root system characteristics and drought resistance of wheat populations in semiarid region. Chin J Appl Ecol (应用生态学报), 1997, 8(2): 134–138 (in Chinese with English abstract)
[10]Dhanda S S, Sethi G S, Behl R K. Indices of drought tolerance in wheat genotypes at early stages of plant growth. J Agron Crop Sci, 2004, 190: 6–12
[11]Champoux M C, Wang G, Sarkarung S, Mackill D J, Toole T C O, Huang N, McCouch S R. Locating genes associated with root morphology and drought avoidance in rice via linkage to molecular markers. Theor Appl Genet, 1995, 90: 969–981
[12]Ray J D, Yu L X, Mccouch S R, Mackill D J, Toole T C O, Huang N, MeCouch S R. Mapping quantitative trait loci associated with root penetration ability in rice (Oryza sativa L.). Theor Appl Genet, 1996, 92: 627–636
[13]Mu P(穆平), Li Z-C(李自超), Li C-P(李春平), Zhang H-L(张洪亮), Wu C-M(吴长明), Li C(李晨), Wang X-K(王象坤). QTL mapping and G×E interaction for root traits in a DH population from japonica upland and lowland rice cross under three ecosystems. Chin Sci Bull (科学通报), 2003, 48(20): 2162–2169 (in Chinese)
[14]Zhang Z-B(张正斌), Xu P(徐萍). Reviewed on wheat genome. Heredity (遗传), 2002, 24(3): 389–394 (in Chinese with English abstract)
[15]Zhou X-G(周晓果), Jing R-L(景蕊莲), Hao Z-F(郝转芳), Chang X-P(昌小平), Zhang Z-B(张正斌). Mapping QTL for seedling root traits in common wheat. Sci Agric Sin (中国农业科学), 2005, 38(10): 1951–1957 (in Chinese with English abstract)
[16]Li Z-K(李卓坤), Peng T(彭涛), Zhang W-D(张卫东), Xie Q-G(谢全刚), Tian J-C(田纪春). Analysis of QTLs for root traits at seedling stage using an “Immortalized F2” population of wheat. Acta Agron Sin (作物学报), 2010, 36(3): 442–448 (in Chinese with English abstract)
[17]Bengough A G, Gordon D C, Al-Menaie H, Ellis R P, Allan D, Keith R, Thomas W T B, Forster B P. Gel observation chamber for rapid screening of root traits in cereal seedlings. Plant & Soil, 2004, 262: 63–70
[18]Sanguineti M C, Li S, Maccaferri M, Corneti S, Rotondo F, Chiari T, Tuberosa R. Genetic dissection of seminal root architecture in elite durum wheat germplasm. Ann Appl Biol, 2007, 151: 291–305
[19]Jing R-L(景蕊莲), Chang X-P(昌小平), Jia J-Z (贾继增), Hu R-H (胡荣海). Establishing wheat doubled haploid population for genetic mapping by anther culture. Biotechnology (生物技术), 1999, 9(3): 4–8 (in Chinese with English abstract)
[20]Hao Z F, Chang X P, Guo X J, Jing R L, Li R Z, Jia J Z. QTL mapping for drought tolerance at stages of germination and seedling in wheat (Triticum aestivum L.) using a DH population. Sci Agric China, 2003, 2: 943–949
[21]Yang J, Zhu J. Predicting superior genotypes in multiple environments based on QTL effects. Theor Appl Genet, 2005, 110: 1268−1274
[22]McIntosh R A, Hart G E, Devos K M, Rogers W J. Catalogue of gene symbols for wheat. 1999. http://grain.jouy.inra.fr/ggpages/wgc
[23]Reyniers F N, Binh T. Screening with Phosphorus32 for rooting depth among varieties of rain-fed rice. Paper Presented in the Conference on Rice in Africa, IITA, lbadan, NIgeria, 1977
[24]Jing R-L(景蕊莲), Hu R-H(胡荣海), Zhu Z-H(朱志华), Chang X-P(昌小平). A study on heritabilities of seedling morphological traits and drought resistance in winter wheat cultivars of different genotype. Act Bot Boreal-Occident Sin (西北植物学报), 1997, 17(2): 152–157 (in Chinese with English abstract)
[25]Price A H, Steele K A, Moore B J, Jones R G W. Upland rice grown in soil-?lled chambers and exposed to contrasting water-de?cit regimes: II. Mapping quantitative trait loci for root morphology and distributing. Field Crops Res, 2002, 76: 25–43
[26]An D G, Su J Y, Liu Q Y, Zhu Y G, Tong Y P, Li J M, Jing R L, Li B, Li Z S. Mapping QTLs for nitrogen uptake in relation to the early growth of wheat (Triticum aestivum L.). Plant & Soil, 2006, 284: 73–84
[27]Xu J-L(徐建龙), Xue Q-Z(薛庆中), Luo L-J(罗利军), Li Z-K(黎志康). QTL dissection of panicle number per plant and spikelet number per panicle in rice (Oryza sativa L.). Acta Genet Sin (遗传学报), 2001, 28(8): 752–759 (in Chinese with English abstract)
[28]Zhang K-P(张坤普), Xu X-B(徐宪斌), Tian J-C(田纪春). QTL mapping for grain yield and spike related traits in common wheat. Acta Agron Sin (作物学报), 2009, 35(2): 270−278 (in Chinese with English abstract)
[29]Rebetzke G J, Bruce S E, Kirkegaard J A. Longer coleoptiles improve emergence through crop residues to increase seedling number and biomass in wheat (Triticum aestivum L.). Plant & Soil, 2005, 272: 87–100
[30]Botwright T L, Rebetzke G J, Condon A G, Richards R A. The effect of rat genotype and temperature on coleoptile growth and dry matter partitioning in young wheat seedlings. Aust J Plant Physiol, 2001, 15: 417–423
[31]Rebetzke G J, Ellis M H, Bonnett D G., Richards R A. Molecular mapping of genes for coleoptile growth in bread wheat (Triticum aestivum L.). Theor Appl Genet, 2007, 114: 1173–1183
[32]Rebetzke G J, Appels R, Morrison A, Richards R A, McDonald G, Ellis M H, Spielmeyer W, Bonnett D G. Quantitative trait loci on chromosome 4B for coleoptile length and early vigour in wheat (Triticum aestivum L.). Aust J Agric Res, 2001, 52: 1221–1234
[33]Landjeva S, Neumann K, Lohwasser U, Börner A. Molecular mapping of genomic regions associated with wheat seedling growth under osmotic stress. Biol Plantarum, 2008, 52: 259–266
[34]Wu X S, Wang Z H, Chang X P, Jing R L. Genetic dissection of the developmental behaviours of plant height in wheat (Triticum aestivum L.) under diverse water regimes. J Exp Bot, 2010, 61: 2923–2937
[1] Zhai Sheng-Nan, Cao Xin-You, Li Hao-Sheng, Li Ji-Hu, Li Fa-Ji, Liu Jin-Dong, Xia Xian-Chun, Lyu Ying-Ying, Ma Rui-Feng, Wang Ying, Geng Hong-Wei, Liu Jian-Jun. Analysis of the genetic effects of allelic variation at the Pod-A1, Pod-D1, and Pod-2D loci on peroxidase activity in wheat grains [J]. Acta Agronomica Sinica, 2026, 52(6): 1593-1603.
[2] Xi Qian-Hui, Xu Zi-Yuan, Liu Meng-Meng, Wang Hong-Yi, Lang Kai-Lin, Jing Zhen-Hai, Chen Feng, Zhao Lei. Genome-wide association study and candidate gene prediction of grain copper content in wheat [J]. Acta Agronomica Sinica, 2026, 52(6): 1604-1617.
[3] Mao Jia-Qi, Huang Peng-Yu, Zhao Jia-Jia, Zheng Xing-Wei, Wu Bang-Bang, Hao Yu-Qiong, Qu Fei, Liu Cheng, Ma Peng-Tao, Zheng Jun. Evaluation of powdery mildew resistance in wheat cultivars and molecular detection of resistance genes in Shanxi province, China [J]. Acta Agronomica Sinica, 2026, 52(6): 1669-1681.
[4] Hu Chuan, Zhao Kai-Nan, Huang Xiu-Li, Wu Jin-Zhi, Ren Kai-Ming, Wang He-Zheng, Fu Guo-Zhan, Huang Ming, Li You-Jun. Effects of tillage methods and nitrogen rates on yield and quality of dryland wheat under one-off irrigation [J]. Acta Agronomica Sinica, 2026, 52(6): 1830-1846.
[5] Chen Xue-Yan, He Hua-Chuan, Li Zheng-Jia, Dong Xin-Pan, Li Ou-Qi, Liu Xiao-Yun, Li Dan-Ping, Chen Zhi-Wei, Liu Guo-Xia, Lyu Sheng-Yuan, Wu Yin-Ying, Zhao Zhen-Dong, Cao Xin-You, Wan He-Ping. Dynamic changes in root organic acid secretion and its transcriptional regulatory mechanisms in ‘Jimai 60’ seedlings under combined salinity-alkalinity stress in hydroponics [J]. Acta Agronomica Sinica, 2026, 52(6): 1859-1875.
[6] Gao Pei-Yang, Li Jin-Xuan, Dong Yu-Kui, Shi Yu, Zhang Zhen, Zhang Yong-Li. Response of wheat tillering and spike formation to nitrogen rate under supplementary irrigation based on soil moisture content [J]. Acta Agronomica Sinica, 2026, 52(6): 1847-1858.
[7] Zheng Yu-Zhen, Qi Fei-Yan, Sun Zi-Qi, Liu Hua, Qin Li, Shi Lei, Wang Juan, Wang Meng-Meng, Han Suo-Yi, Xu Jing, Miao Li-Juan, Huang Bing-Yan, Dong Wen-Zhao, Zheng Zheng, Zhang Xin-You. QTL mapping of total very long-chain fatty acids and seven fatty acid components in peanut seeds [J]. Acta Agronomica Sinica, 2026, 52(6): 1646-1657.
[8] Zhang Xian-Feng, Guo Li-Jian, Li Kang-Chun, Kong Bin-Xue, Liu Yu-Fang, Che Zhuo, Yang De-Long. Identification of the ABHD6 gene family and development of functional markers for grain weight in wheat [J]. Acta Agronomica Sinica, 2026, 52(6): 1711-1727.
[9] Wang Zhuang-Zhuang, Wu Zi-Jun, Zhang Yong-Xin, Zhang Xin-Yuan, Yuan Li-Xue, Chen Ru-Xue, Liu Shi-Ju, Duan Jian-Zhao, Feng Wei, Wang Tong-Chao, Wang Yong-Hua. Optimized water-nitrogen synergy enhances winter wheat yield and nitrogen use efficiency in clay-loam fluvo-aquic soils of southeastern Henan, China [J]. Acta Agronomica Sinica, 2026, 52(5): 1501-1521.
[10] He Wan-Long, Geng Hong-Wei, Zhang Fei-Fei, Mikereayi·Ababaikere , Luo Zi-Yang, Li Peng-Cheng, Zhou Zhao-Yu, Cheng Yu-Kun. Development of a deep learning-based image recognition system for major wheat diseases [J]. Acta Agronomica Sinica, 2026, 52(5): 1401-1417.
[11] Zhang Zhen, Feng Lian-Jie, Shi Yu, Yu Zhen-Wen, Zhang Yong-Li. Yield formation of wheat with different ear types under water-saving supplementary irrigation conditions [J]. Acta Agronomica Sinica, 2026, 52(5): 1522-1535.
[12] Hou Si-Yu, Wang Guo-Cui, Wei Jin-Gui, Xie Wei-Xin, Yin Wen, Fan Zhi-Long, Chai Qiang, Hu Fa-Long. Effects of green manure combined with chemical nitrogen fertilizer on dry matter accumulation and yield formation of wheat in arid irrigation areas of northwestern China [J]. Acta Agronomica Sinica, 2026, 52(4): 1208-1219.
[13] Shang Yun-Qiu, Zhao Zhu, Chen Huan, Ding Yong-Gang, Qiao Yu-Qiang, Li Wei, Zhang Xiang-Qian, Cao Cheng-Fu, Du Shi-Zhou. Effects of long-term tillage practices on grain-filling and yield formation in rain-fed wheat [J]. Acta Agronomica Sinica, 2026, 52(4): 1236-1250.
[14] Qiao Yu-Xin, Li Cheng-Yue, Kang Xiao-Yu, Zhang Xin-Qi, Jia Shao-Hui, Liu Qian, Cao Ya-Li, Shi Xin-Rui, Hao Xing-Yu, Li Ping. Study on the effects of long-term no-tillage straw mulching on wheat yield improvement in dryland areas based on the APSIM model [J]. Acta Agronomica Sinica, 2026, 52(4): 1181-1192.
[15] Li Can, Zhang Xi-Wei, Zhu Bo-Tao, Zhang Pei-Pei. Functional characterization of wheat GSK kinase TaSK41 and screening for interacting proteins [J]. Acta Agronomica Sinica, 2026, 52(3): 677-687.
Viewed
Full text


Abstract

Cited
  Shared   
  Discussed   
No Suggested Reading articles found!
Add: No. 80 Xueyuan South Rd, Beijing 100081, P. R. China E-mail: zwxb301@caas.cn
Supported by Beijing Magtech Co.Ltd