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Journal of Integrative Agriculture  2014, Vol. 13 Issue (11): 2322-2329    DOI: 10.1016/S2095-3119(13)60640-1
Crop Genetics · Breeding · Germplasm Resources Advanced Online Publication | Current Issue | Archive | Adv Search |
Quantitative Trait Loci Associated with Micronutrient Concentrations in Two Recombinant Inbred Wheat Lines
 PU Zhi-en, YU Ma, HE Qiu-yi, CHEN Guo-yue, WANG Ji-rui, LIU Ya-xi, JIANG Qian-tao, LI Wei, DAI Shou-fen, WEI Yu-ming , ZHENG You-liang
1、Triticeae Research Institute, Sichuan Agricultural University, Chengdu 611130, P.R.China
2、College of Agronomy, Sichuan Agricultural University, Chengdu 611130, P.R.China
3、School of Life Science and Engineering, Southwest University of Science and Technology, Mianyang 621010, P.R.China
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摘要  Micronutrient malnutrition affects over three billion people worldwide, especially women and children in developing countries. Increasing the bioavailable concentrations of essential elements in the edible portions of crops is an effective resolution to address this issue. To determine the genetic factors controlling micronutrient concentration in wheat, the quantitative trait locus (QTL) analysis for iron, zinc, copper, manganese, and selenium concentrations in two recombinant inbred line populations was performed. In all, 39 QTLs for five micronutrient concentrations were identified in this study. Of these, 22 alleles from synthetic wheat SHW-L1 and seven alleles from the progeny line of the synthetic wheat Chuanmai 42 showed an increase in micronutrient concentrations. Five QTLs on chromosomes 2A, 3D, 4D, and 5B found in both the populations showed significant phenotypic variation for 2-3 micronutrient concentrations. Our results might help understand the genetic control of micronutrient concentration and allow the utilization of genetic resources of synthetic hexaploid wheat for improving micronutrient efficiency of cultivated wheat by using molecular marker-assisted selection.

Abstract  Micronutrient malnutrition affects over three billion people worldwide, especially women and children in developing countries. Increasing the bioavailable concentrations of essential elements in the edible portions of crops is an effective resolution to address this issue. To determine the genetic factors controlling micronutrient concentration in wheat, the quantitative trait locus (QTL) analysis for iron, zinc, copper, manganese, and selenium concentrations in two recombinant inbred line populations was performed. In all, 39 QTLs for five micronutrient concentrations were identified in this study. Of these, 22 alleles from synthetic wheat SHW-L1 and seven alleles from the progeny line of the synthetic wheat Chuanmai 42 showed an increase in micronutrient concentrations. Five QTLs on chromosomes 2A, 3D, 4D, and 5B found in both the populations showed significant phenotypic variation for 2-3 micronutrient concentrations. Our results might help understand the genetic control of micronutrient concentration and allow the utilization of genetic resources of synthetic hexaploid wheat for improving micronutrient efficiency of cultivated wheat by using molecular marker-assisted selection.
Keywords:  micronutrient concentration       synthetic hexaploid wheat       QTL  
Received: 15 August 2013   Accepted:
Fund: 

This work was supported by the National Natural Science Foundation of China (31301318, 31230053 and 31171556) and the National Basic Research Program of China (2011CB100100).

Corresponding Authors:  ZHENG You-liang, Tel: +86-835-2882007, Fax: +86-835-2883153, E-mail: ylzheng@sicau.edu.cn     E-mail:  ylzheng@sicau.edu.cn
About author:  PU Zhi-en, E-mail: puzhien@hotmail.com; YU Ma, E-mail: yuwen.0073@hotmail.com

Cite this article: 

PU Zhi-en, YU Ma, HE Qiu-yi, CHEN Guo-yue, WANG Ji-rui, LIU Ya-xi, JIANG Qian-tao, LI Wei, DAI Shou-fen, WEI Yu-ming , ZHENG You-liang. 2014. Quantitative Trait Loci Associated with Micronutrient Concentrations in Two Recombinant Inbred Wheat Lines. Journal of Integrative Agriculture, 13(11): 2322-2329.

Bjelakovic G, Nikolova D, Simonetti R G, Gluud C. 2004.Antioxidant supplements for prevention of gastrointestinalcancers: A systematic review and meta-analysis. Lancet,364, 1219-1228

Black M M. 2003. Micronutrient deficiency and cognitivefunction. The Journal of Nutrition, 133, 3927S-3931S

Cakmak I, Cakmak O, Eker S, Ozdemir A, Watanabe N, BraunH J. 1999. Expression of high zinc efficiency of Aegilopstauschii and Triticum monococcum in synthetic hexaploidwheats. Plant Soil, 215, 203-209

Cakmak I, Torun A, Millet E, Feldman M, Fahima T, KorolA B, Nevo E, Braun H J, Ozkan H. 2004. Triticumdicoccoides: an important genetic resource for increasingzinc and iron concentration in modern cultivated wheat.Soil Science and Plant Nutrition, 50, 1047-1054

Cakmak I. 2002. Plant nutrition research: Priorities to meethuman needs for food in sustainable ways. Plant Soil,247, 3-24

Calderini D F, Ortiz-Monasterio I. 2003. Are synthetichexaploids a means of increasing grain elementconcentrations in wheat? Euphytica, 134, 169-178

Chhuneja P, Dhaliwal H S, Bains N S, Singh K. 2006. Aegilopskotschyi and Aegilops tauschii as sources for higher levelsof grain iron and zinc. Plant Breeding, 125, 529-531

 Distelfeld A, Cakmak I, Peleg Z, Ozturk L, Yazici A M, BudakH, Saranga Y, Fahima T. 2007. Multiple QTL-effects ofwheat Gpc-B1 locus on grain protein and micronutrientconcentrations. Physiologia Plantarum, 129, 635-643

Distelfeld A, Uauy C, Fahima T, Dubcovsky J. 2006. Physicalmap of the wheat high-grain protein content gene Gpc-B1and development of a high-throughput molecular marker.New Phytologist, 169, 753-763

Genc Y, Verbyla A, Torun A, Cakmak I, Willsmore K,Wallwork H, McDonald G. 2009. Quantitative trait locianalysis of zinc efficiency and grain zinc concentrationin wheat using whole genome average interval mapping.Plant Soil, 314, 49-66

Gronberg H. 2003. Prostate cancer epidemiology. Lancet,361, 859-864

Holtz C, Brown K H. 2004. Assessment of the risk of zincdeficiency in populations and options for its control. Foodand Nutrition Bulletin, 25, 94-104

Li H H, Ye G Y, Wang J K. 2007. A modified algorithm forthe improvement of composite interval mapping. Genetics,175, 361-374

Liao J, Li J, Tang Y L, Yang Y M, Zeng Y C, Wei H T,Peng Z S, Hu X R, Yang W Y. 2007. Evaluation ofimportant agronomic traits in recombinant inbred Lines ofChuanmai 42×Chuannong 16. Southwest China Journal ofAgricultural Sciences, 20, 300-304 (in Chinese)

Lyons G, Ortiz-Monasterio I, Stangoulis J, Graham G. 2005.Selenium concentration in wheat grain: Is there sufficientgenotypic variation to use in breeding? Plant Soil, 269,369-380

Ozkan H, Brandolini A, Torun A, Altintas S, Eker S, Kilian B,Braun H J, Salamini F, Cakmak I. 2007. Natural variationand identification of microelements content in seeds ofeinkorn wheat (Triticum monococcum). In: Buck H T,Nisi J E, Salomon N, eds., Wheat Production in StressedEnvironments. Springer, Berlin, Germany. pp. 455-462

Peleg Z, Cakmak I, Ozturk L, Yazici A, Jun Y, Budak H, KorolA B, Fahima T, Saranga Y. 2009. Quantitative trait lociconferring grain mineral nutrient concentrations in durumwheat×wild emmer wheat RIL population. Theoretical andApplied Genetics, 119, 353-369

Rawat N, Tiwari VK, Singh N, Randhawa G S, Singh K,Chhuneja P, Dhaliwal H S. 2008. Evaluation and utilizationof Aegilops and wild Triticum species for enhancing ironand zinc content in wheat. Genetic Resources and CropEvolution, 56, 53-64

Rayman M. 2000. The importance of selenium to humanhealth. Lancet, 356, 233-241

Rayman M P. 2005. Selenium in cancer prevention: A reviewof the evidence and mechanism of action. Proceedings ofthe Nutrition Society, 64, 527-542

Schlegel R, Cakmak I, Torun B, Eker S, Tolay I, Ekiz H,Kalayci M, Braun H J. 1998. Screening for zinc efficiencyamong wheat relatives and their utilization for alien genetransfer. Euphytica, 100, 281-286

Shi R L, Li H W, Tong Y P, Jing R L, Zhang F S, Zou C Q.2008. Identification of quantitative trait locus of zinc andphosphorus density in wheat (Triticum aestivum L.) rain.Plant Soil, 306, 95-104

Singh B, Natesan S K A, Singh B K, Usha K. 2005. Improvingzinc efficiency of cereals under zinc deficiency. CurrentScience, 88, 36-44

Tang Q Y, Zhang C X. 2013. Data Processing System (DPS)software with experimental design, statistical analysis anddata mining developed for use in entomological research.Insect Science, 20, 254-260

Tang Y L, Li J, Wu Y Q, Wei H T, Li C S, Yang W Y, ChenF. 2011. Identification of QTLs for yield-related traits inthe recombinant inbred line population derived from thecross between a synthetic hexaploid wheat-derived varietyChuanmai 42 and a Chinese elite variety Chuannong 16.Agricultural Sciences in China, 10, 1665-1680

Tiwari V K, Rawat N, Chhuneja P, Neelam K, Aggarwal R,Randhawa G S, Dhaliwal H S, Keller B, Singh K. 2009.Mapping of quantitative trait loci for grain iron and zincconcentration in diploid A genome wheat. Journal ofHeredity, 100, 771-776

Uauy C, Distelfeld A, Fahima T, Blechl A, Dubcovsky J. 2006.A NAC gene regulating senescence improves grain protein,zinc, and iron content in wheat. Science, 314, 1298-1301

USDA(United States Department of Agriculture). 2012. USDAWorld Agricultural Supply and Demand Estimates. ReportNo. WASDE-511 [2012-10-11] http://usda01.library.cornell.edu/usda/current/wasde/wasde-10-11-2012pdf

Welch R M, Graham R D. 2002. Breeding crops for enhancedmicronutrient content. Plant Soil, 245, 205-214

Welch R M, Graham R D. 2004. Breeding for micronutrientsin staple food crops from a human nutrition perspective.Journal of Experimental Botany, 55, 353-364

Xu Y F, An D G, Li H J, Xu H G. 2011. Review: Breedingwheat for enhanced micronutrients. Canadian Journal ofPlant Science, 91, 231-237

Xu Y F, An D G, Liu D C, Zhang A M, Xu H G, Li B. 2012.Molecular mapping of QTLs for grain zinc, iron and proteinconcentration of wheat across two environments. FieldCrops Research, 138, 57-62

Yu M, Chen G Y. 2013. Conditional QTL mapping forwaterlogging tolerance in two RILs populations of wheat.Springer Plus, 2, 24.

Zhang L Q, Liu D C, Yan Z H, Lan X J, Zheng Y L, Zhou YH. 2004. Rapid changes of microsatellite flanking sequencein the allopolyploidization of new synthesized hexaploidwheat. Science in China (Series C: Life Sciences), 47,553-561
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