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Journal of Integrative Agriculture  2013, Vol. 12 Issue (5): 765-772    DOI: 10.1016/S2095-3119(13)60298-1
Crop Genetics · Breeding · Germplasm Resources Advanced Online Publication | Current Issue | Archive | Adv Search |
Identification of Quantitative Trait Loci for Phytic Acid Concentration in Maize Grain Under Two Nitrogen Conditions
 LIU Jian-chao, HUANG Ya-qun, MA Wen-qi, ZHOU Jin-feng, BIAN Fen-ru, CHEN Fan-jun , MI Guo-hua
1.Key Lab of Plant-Soil Interaction, Ministry of Education/College of Resources and Environmental Sciences, China Agricultural University,Beijing 100193, P.R.China
2.Key Lab of Biology and Genetic Improvement of Maize in Arid Area of Northwest Region, Ministry of Agriculture/College of Agronomy,Northwest A&F University, Yangling 712100, P.R.China
3.College of Agronomy, Agricultural University of Hebei, Baoding 071001, P.R.China
4.College of Resources and Environmental Sciences, Agricultural University of Heibei, Baoding 071001, P.R.China
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摘要  Phytic acid (PA) is the main storage form of phosphorus (P) in seeds. It can form insoluble complexes with microelements, thereby reducing their bioavailability for animals. Identification of quantitative trait loci (QTLs) associated with grain PA concentration (PAC) is essential to improve this trait without affecting other aspects of grain nutrition such as protein content. Using a recombinant inbred line (RIL) population, we mapped QTL for grain PAC, as well as grain nitrogen concentration (NC) and P concentration (PC) in maize under two N conditions in 2 yr. We detected six QTLs for PAC. The QTL for PAC on chromosome 4 (phi072-umc1276) was identified under both low-N and high-N treatments, and explained 13.2 and 15.4% of the phenotypic variance, respectively. We identified three QTLs for grain NC, none of which were in the same region as the QTLs for PAC. We identified two QTLs for PC in the low-N treatment, one of which (umc1710-umc2197) was in the same interval as the QTL for PAC under high-N conditions. These results suggested that grain PAC can be improved without affecting grain NC and inorganic PC.

Abstract  Phytic acid (PA) is the main storage form of phosphorus (P) in seeds. It can form insoluble complexes with microelements, thereby reducing their bioavailability for animals. Identification of quantitative trait loci (QTLs) associated with grain PA concentration (PAC) is essential to improve this trait without affecting other aspects of grain nutrition such as protein content. Using a recombinant inbred line (RIL) population, we mapped QTL for grain PAC, as well as grain nitrogen concentration (NC) and P concentration (PC) in maize under two N conditions in 2 yr. We detected six QTLs for PAC. The QTL for PAC on chromosome 4 (phi072-umc1276) was identified under both low-N and high-N treatments, and explained 13.2 and 15.4% of the phenotypic variance, respectively. We identified three QTLs for grain NC, none of which were in the same region as the QTLs for PAC. We identified two QTLs for PC in the low-N treatment, one of which (umc1710-umc2197) was in the same interval as the QTL for PAC under high-N conditions. These results suggested that grain PAC can be improved without affecting grain NC and inorganic PC.
Keywords:  maize       nitrogen       phosphorus       phytic acid       QTL  
Received: 26 April 2012   Accepted:
Fund: 

This study was supported by the National Basic Research Program of China (2011CB100305), the National Science Foundation of China (30890131, 31172015, 31121062), the Hebei Province Key Technology R&D Program, China (12225510D), the Special Fund for Agriculture Profession, China (201103003), and the Chinese University Scientific Fund (2011JS163).

Corresponding Authors:  Correspondence MI Guo-hua, Tel: +86-10-62734454, E-mail: miguohua@cau.edu.cn; CHEN Fan-jun, Tel: +86-10-62734454, E-mail: caucfj@cau.edu.cn     E-mail:  caucfj@cau.edu.cn

Cite this article: 

LIU Jian-chao, HUANG Ya-qun, MA Wen-qi, ZHOU Jin-feng, BIAN Fen-ru, CHEN Fan-jun , MI Guo-hua. 2013. Identification of Quantitative Trait Loci for Phytic Acid Concentration in Maize Grain Under Two Nitrogen Conditions. Journal of Integrative Agriculture, 12(5): 765-772.

[1]Bertin P, Gallais A. 2000. Genetic variation for nitrogen useefficiency in a set of recombinant inbred lines I -agrophysiological results. Maydica, 45, 53-66

[2]Blair M W, Sandoval T A, Caldas G V, Beebe S E, Paez M I.2009. Quantitative trait locus analysis of seedphosphorus and seed phytate content in a recombinantinbred line population of common bean. Crop Science,49, 237-246

[3]Bregitzer P, Raboy V. 2006. Effects of four independent lowphytatemutations on barley agronomic performance.Crop Science, 46, 1318-1322

[4]Churchill G A, Doerge R W. 1994. Empirical threshold valuesfor quantitative trait mapping. Genetics, 138, 963-971

[5]Dai F, Wang J M, Zhang S H, Xu X X, Zhang G P. 2007.Genotypic and environmental variation in phytic acidcontent and its relation to protein content and maltquality in barley. Food Chemistry, 105, 606-611

[6]Dragicevic V, Kovacevic D, Sredojevic S, Dumanovic Z,Drinic S M. 2010. The variation of phytic and inorganicphosphorus in leaves ad grain in maize populations.Genetika, 42, 555-563

[7]Drinic S M, Ristic D, Sredojevic S, Dragicevic V, Micic D I,Delic N. 2009. Genetic variation of phytate andionorganic phosphorus in maize population. Genetika,41, 107-115

[8]Frossard E, Bucher M, Machler F, Mozafar A, Hurrell R.2000. Potential for increasing the content andbioavailability of Fe, Zn, and Ca in plants for humannutrition. Journal of Science of Food and Agriculture,80, 861-879

[9]Guttieri M J, Peterson K M, Souza E J. 2006. Agronomicperformance of low phytic acid wheat. Crop Science,46, 2623-2629

[10]Henrik B P, Lisbeth D S, Preben B H. 2002. Engineeringcrop plant: getting a handle on phosphate. Trends PlantScience, 7, 118-124

[11]Horvatic M, Balint L. 1996. Relationship among the phyticacid and protein content during maize grain maturation.Journal of Agronomy and Crop Science, 176, 73-77

[12]Knapp S J, Stroup W W, Ross W M. 1985. Exact confidenceintervals for heritability on a progeny mean basis. CropScience, 25, 192-194

[13]Liu J C, Cai H G, Chu Q, Chen X H, Chen F J, Yuan L H, MiG H, Zhang F S. 2011. Genetic analysis of vertical rootpulling resistance (VRPR) in maize ueing two geneticpopuations. Molecular Breeding, 28, 463-474

[14]Liu J X, Chen F J, Olokhnuud C, Glass A D M, Tong Y P, Zhang F S, Mi G H. 2009. Root size and nitrogen-uptakeactivity in two maize (Zea mays L.) inbred lines differingin nitrogen-use efficiency. Journal of Plant Nutritionand Soil Science, 172, 230-236

[15]Liu Z H, Cheng F M, Cheng W D, Zhang G P. 2005.Positional variations in phytic acid and protein contentwithin a panicle of japonica rice. Journal of CerealScience, 41, 297-303

[16]Lorenz A, Scott P, Lamkey K. 2008. Genetic variation andbreeding potential of phytate and inorganicphosphorus in a maize population. Crop Science, 48,79-84

[17]Lott J N A, West M M. 2001. Elements present in mineralnutrient reserves in dry Arabidopsis thaliana seeds ofwild type and pho1, pho2, and man1 mutants. CanadianJournal of Botany, 79, 1292-1296

[18]Ma L, Li P, Chen Z, Zhao Y F, Zhu L Y, Huang Y Q, Chen JT. 2011. Genetic analysis and identification of maize(Zea mays L.) low phytic acid inbred lines. ScientiaAgricultura Sinica, 44, 447-455

[19](in Chinese)Ning H F, Liu Z H, Wang Q S, Lin Z M, Chen S J, Li G H,Wang S H, Ding Y F. 2009. Effect of nitrogen fertilizerapplication on grain phytic acid and protein contentsin japonica rice and its variations with genotypes.Journal of Cereal Science, 50, 49-55

[20]Raboy V. 2001. Seeds for a better future: ‘low phytate’grains help to overcome malnutrition and reducepollution. Trends in Plant Science, 6, 458-462

[21]Raboy V, Dickinson D B. 1984. Effect of phosphorus andzinc nutrition on soybean seed phytic acid and zinc.Plant Physiology, 75, 1094-1098

[22]Raboy V, Dickinson D B, Neuffer M G. 1990. A survey ofmaize kernel mutants for variation in phytic acid.Maydica, 35, 383-390

[23]Raboy V, Gerbasi P F, Young K A, Stoneberg S D, Pickett SG, Bauman A T, Murthy P P N, Sheridan W F, Ertl D S.2000. Origin and seed phenotype of maize low phyticacid 1-1 and low phytic acid 2-1 Plant Physiology,124, 355-368

[24]Rivera-Reyes J G, Peraza-Luna F A, Serratos-Arévalo J C,Posos-Ponce P, Guzmán-Maldonado S H, Cortez-Baheza E, Castañón-Nájera G, Mendoza-Elos M. 2009.Effect of nitrogen and phosphorus fertilization on phyticacid concentration and vigor of oat seed (var. Saia) inMexico. Phyton (B. Aires), 78, 37-42

[25]Shi J R, Wang H Y, Wu Y S, Hazebroek J, Meeley R B, ErtlD S. 2003. The maize low-phytic acid mutant lpa2 iscaused by mutation in an inositol phosphate kinasegene. Plant Physiology, 131, 507-515

[26]Shi J R, Wang H Y, Hazebroek J, Ertl D S, Harp T. 2005. Themaize low-phytic acid 3 encodes myo-inositol kinasethat plays a role in phytic acid biosynthesis indeveloping seeds. The Plant Journal, 42, 708-719

[27]Thavarajah D, Thavarajah P, See C T, Vandenberg A. 2010.Phytic acid and Fe and Zn concentration in lentil (Lensculinaris L.) seeds is influenced by temperature duringseed filling period. Food Chemistry, 122, 254-259

[28]Veum T L, Ledoux D R, Raboy V, Ertl D S. 2001. Low-phyticacid corn improves nutrient utilization for growing pigs.Journal of Animal Science, 79, 2873-2880

[29]Zhao H J, Liu Q L, Fu H W, Xu X H, Wu D X, Shu Q Y. 2008.Effect of non-lethal low phytic acid mutations on grainyield and seed viability in rice. Field Crops Research,108, 206-211.
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