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Fine mapping a major QTL for kernel number per row under different phosphorus regimes in maize (Zea mays L.)

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Abstract

Phosphorus (P) is one of the essential macronutrients for plant growth and development. Grain yield is the primary trait of interest in maize breeding programs. Maize grain yield and yield-related traits are seriously affected by P deficiency. Kernel number per row (KN), as one of the major components of grain yield, has attracted the attention of more and more breeders. In our previous study, one major QTL (named qKN), controlling KN under different P regimes was mapped to the interval between molecular markers bnlg1360 and umc1645 on chromosome 10 using a F 2:3 population derived from the cross between maize inbreds 178 and 5,003 (107). In order to understand its genetic basis, we developed a population of near isogenic lines (NILs) and two P regimes were used to fine map and characterize qKN. The QTL qKN was finally localized in a region of ~480 kb. A single qKN allele of inbred 178 increased KN by 6.08–10.76 % in the 5,003 (107) background; qKN acted in a partially dominant manner. Our results will be instrumental for the future identification and isolation of the candidate gene underlying qKN. The tightly linked molecular markers that we developed for qKN will be useful in maize breeding programs for improving KN applying the marker-assisted selection.

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Abbreviations

cM:

Centimorgan

KN:

Kernel number per row

NIL:

Near isogenic line

P:

Phosphorus

QTL:

Quantitative trait loci

RIL:

Recombinant inbred line

SSR:

Single sequence repeat

References

  • Austin DF, Lee M (1996) Comparative mapping in F 2:3 and F 6:7 generations of quantitative trait loci for grain yield and yield components in mazie. Theor Appl Genet 92:817–826

    Article  CAS  Google Scholar 

  • Chen JY, Xu L, Cai YL, Xu J (2008) QTL mapping of phosphorus efficiency and relative biologic characteristics in maize (Zea mays L.) at two sites. Plant Soil 313:251–266

    Article  CAS  Google Scholar 

  • Chen JY, Xu L, Cai YL, Xu J (2009) Identification of QTLs for phosphorus utilization efficiency in maize (Zea mays L.) across P levels. Euphytica 167:245–252

    Article  CAS  Google Scholar 

  • Darvasi A (1998) Experimental strategies for the genetic dissection of complex traits in animal models. Nat Genet 18:19–24

    Article  PubMed  CAS  Google Scholar 

  • Dekkers JCM, Hospital F (2002) The use of molecular genetics in the improvement of agricultural populations. Genetics 3:22–32

    PubMed  CAS  Google Scholar 

  • Fan CC, Xing YZ, Mao HL, Lu TT, Han B, Xu CG, Li XH, Zhang QF (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 112:1164–1171

    Article  PubMed  CAS  Google Scholar 

  • Fazio G, Staub JE, Stevens MR (2003) Genetic mapping and QTL analysis of horticultural traits in cucumber (Cucumis sativus L.) using recombinant inbred lines. Theor Appl Genet 107:864–874

    Article  PubMed  CAS  Google Scholar 

  • Guo JF, Su GQ, Zhang GP, Wang GY (2008) Genetic analysis and QTL mapping of maize yield and associate agronomic traits under semi-arid land condition. Afr J Biotechnol 7:1829–1838

    CAS  Google Scholar 

  • Huang YF, Madur D, Combes V, Ky CL, Coubriche D, Jamin P, Jouanne S, Dumas F, Bouty E, Bertin P, Charcosset A, Moreau L (2010) Comparing Intermitted and Conventional Populations Reveals the Genetic Architecture of Grain Yield and Related Traits in Zea maize L. Genetics. Published on line

  • Kaeppler SM (1997) Quantitative trait locus mapping using sets of near-isogenic lines: relative power comparisons and technical considerations. Theor Appl Genet 95:384–392

    Article  Google Scholar 

  • Lander ES, Green P, Abrahamson J, Barlow A, Daly MJ, Lincoln SE, Etoh T (1987) MAPMAKER: an interactive computer package for constructing primary genetic linkage maps of experimental and natural populations. Genomics 1:174–181

    Article  PubMed  CAS  Google Scholar 

  • Lee M, Sharopova N, Beavis WD, Grant D, Katt M, Blair D, Hallauer A (2002) Expanding the genetic map of maize with the intermitted B73 X Mo17 (IBM) population. Plant Mol Biol 48:453–461

    Article  PubMed  CAS  Google Scholar 

  • Li Q, Wan JM (2005) SSRHunter: development of a local searching Software for SSR Sites. HEREDITAS (Beijing) 27:808–810

  • Li YL, Dong YB, Cui DQ, Wang YZ, Liu YY, Wei MG, Li XH (2008) The genetic relationship between popping expansion volume and two yield components in popcorn using unconditional and conditional QTL analysis. Euphytica 162:345–351

    Article  Google Scholar 

  • Li M, Guo XH, Zhang M, Wang XP, Zhang GD, Tian YC, Wang ZL (2010) Mapping QTLs for grain yield and yield components under high and low phosphorus treatments in maize (Zea mays L.). Plant Sci 178:454–462

    Article  CAS  Google Scholar 

  • Lima MLA, Jr CLS, Bento DAV, Souza AP, Garcia LAC (2006) Mapping QTL for grain yield and plant traits in a tropical maize population. Mol. Breed. 17:227–239

    Google Scholar 

  • Liu XH, He SL, Zheng ZP, Huang YB, Tan ZB, Wu X (2010) QTL identification for row number per ear and grain number per row in maize. Maydica 55:127–133

    Google Scholar 

  • Lu GH, Tang JH, Yan JB, Ma XQ, Li JS, Chen SJ, Ma JC, Liu ZX, E LZ, Zhang YR, Dai JR (2006) Quantitative trait loci mapping of maize yield and its components under different water treatments at flowering time. Integr Plant Biol 48:1233–1243

    Article  CAS  Google Scholar 

  • Lukens LN, Doebley J (1999) Epistatic and environmental interactions for quantitative trait loci involved in maize evolution. Genet Res Camb 74:291–302

    Article  CAS  Google Scholar 

  • Ma XQ, Tang JH, Teng WT, Yan JB, Meng YJ, Li JS (2007) Epistatic interaction is an important genetic basis of grain yield and its components in maize. Mol Breed 20:41–51

    Article  Google Scholar 

  • McCouch SR, Cho YG, Yano M, Paul E, Blinstrub M, Morishima H, Kinoshita T (1997) Report on QTL nomenclature. Rice Genet Newlett 14:11–13

    Google Scholar 

  • Messmer R, Fracheboud Y, Banziger M, Vargas M, Stamp P, Ribaut JM (2009) Drought stress and tropical maize: qTL-by-environment interactions and stability of QTLs across environments for yield components and secondary traits. Theor Appl Genet 119:913–930

    Article  PubMed  Google Scholar 

  • Moreira JUV, Bento DAV, Souza AP, Souza CLS Jr (2009) QTL mapping for reaction to Phaeosphaeria leaf spot in a tropical maize population. Theor Appl Genet 119:1361–1369

    Article  PubMed  CAS  Google Scholar 

  • Plenet D, Etchebest S, Mollier A, Pellerin S (2000a) Growth analysis of maize field crops under phosphorus deficiency. Plant Soil 223:117–130

    Article  CAS  Google Scholar 

  • Plenet D, Mollier A, Pellerin S (2000b) Growth analysis of maize field crops under phosphorus deficiency. II. Radiation-use efficiency, biomass accumulation and yield components. Plant Soil 224:259–272

    Article  CAS  Google Scholar 

  • Prigge V, Melchinger AE, Dhillon BS, Frisch M (2009) Efficiency gain of marker-assisted backcrossing by sequentially increasing marker densities over generations. Theor Appl Genet 119:23–32

    Article  PubMed  CAS  Google Scholar 

  • Quarrie SA, Quarrie SP, Radosevic R, Rancic D, Kaminska A, Barnes JD, Leverington M, Ceoloni C, Dodig D (2006) Dissecting a wheat QTL for yield present in a range of environments: from the QTL to candidate genes. J Exp Bot 57:2627–2637

    Article  PubMed  CAS  Google Scholar 

  • Raghothama KG (1999) Phosphate acquisition. Annu Rev Plant Physiol Plant Mol Biol 50:665–693

    Article  PubMed  CAS  Google Scholar 

  • Reiter RS, Coors JG, Sussman MR, Gabelman WH (1991) Genetic analysis of tolerance to low-phosphorus stress in maize using restriction fragment length polymorphisms. Theor Appl Genet 82:561–568

    Article  CAS  Google Scholar 

  • Sabadin PK, Junior CLDS, Souza APD, Garcia AAF (2008) QTL mapping for yield components in a tropical maize population using microsatellite markers. Hereditas 145:194–203

    Article  Google Scholar 

  • Salvi S, Tuberosa R (2005) To clone or not to clone plant QTLs: present and future challenges. Trends Plant Sci 10:297–304

    Article  PubMed  CAS  Google Scholar 

  • Salvi S, Sponza G, Morgante M, Tomes D, Miu XM, Fengler KA, Meeley R, Ananiev EV, Svitashev S, Bruggemann E, Li BL, Hainey CF, Radovic S, Zaina G, Rafalski JA, Tingey SV, Miao GH, Phillips RL, Tuberose R (2007) Conserved nocoding genomic sequences associated with a flowering-time quantitative trait locus in maize. Proc Natl Acad Sci USA 104:11376–11381

    Article  PubMed  CAS  Google Scholar 

  • Tang JH, Yan JB, Ma XQ, Teng WT, Meng YJ, Dai JR, Li JS (2007) Genetic dissection for grain yield and its components using an “immortalized F 2 population” in maize. Acta Agron Sin 33:1299–1303

    CAS  Google Scholar 

  • Tang JH, Yan JB, Ma XQ, Teng WT, Wu WR, Dai JR, Dhillon BS, Melchinger AE, Li JS (2010) Dissection of the genetic basis of heterosis in an elite maize hybrid by QTL mapping in an immortalized F 2 population. Theor Appl Genet 120:333–340

    Article  PubMed  Google Scholar 

  • Thomson MJ, Tai TH, McClung AM, Lai XH, Hinga ME, Lobos KB, Xu Y, Martinez CP, McCouch SR (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

    Article  PubMed  CAS  Google Scholar 

  • Visscher PM (1996) Proportion of the variation in genetic composition in backcrossing programs explained by genetic markers. Heredity 87:136–138

    Article  Google Scholar 

  • Wang SC, Basten CJ, Zeng ZB (2005) Windows QTL Cartographer 2.5, Department of Statistics, North Carolina State University, Raleigh (http://www.statgen.ncsu.edu/qtl/crt/WQTL.html)

  • Wang BT, Wu JY, Ding JQ, Xi ZY (2009) Map Integration of QTLs for Grain Yield and Its Related Traits in Maize. Acta Agron Sin 35:1836–1843

    Article  CAS  Google Scholar 

  • Xiao YN, Li XH, George ML, Li MS, Zhang SH, Zheng YL (2005) Quantitative trait locus analysis of drought tolerance and yield in maize in China. Plant Mol Biol Rep 23:155–165

    Article  CAS  Google Scholar 

  • Yan JB, Tang H, Huang YQ, Zheng YL, Li JS (2006) Quantitative trait loci mapping and peristaltic analysis for grain yield and yield components using molecular markers with an elite maize hybrid. Euphytica 149:121–131

    Article  CAS  Google Scholar 

  • Zhang SH, Xu WP, Li MS, Li XH, Xu JS (2008) Challenge and opportunity in maize breeding program. J Maize Sci 16:1–5

    Google Scholar 

  • Zhu JM, Mickelson SM, Kaeppler SM, Lynch JP (2006) Detection of quantitative trait loci for seminal root traits in maize (Zea mays L.) seedlings grown under differential phosphorus levels. Theor Appl Genet 113:1–10

    Article  PubMed  CAS  Google Scholar 

Download references

Acknowledgments

This research was supported by the China National Major Basic research Program (973:2009CB118405). The authors greatly acknowledge Professor Dai JingRui from National Maize Improvement Center of China, China Agriculture University, for critical review of this manuscript.

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Correspondence to Zeli Wang.

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Communicated by T. Würschum.

G. Zhang and X. Wang contributed equally to this work.

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Zhang, G., Wang, X., Wang, B. et al. Fine mapping a major QTL for kernel number per row under different phosphorus regimes in maize (Zea mays L.). Theor Appl Genet 126, 1545–1553 (2013). https://doi.org/10.1007/s00122-013-2072-2

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  • DOI: https://doi.org/10.1007/s00122-013-2072-2

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