Construction of genetic linkage map and identification of QTLs related to agronomic traits in DH population of maize (Zea mays L.) using SSR markers
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In this study, we used phenotypic and genetic analysis to investigate Double haploid (DH) lines derived from normal corn parents (HF1 and 11S6169). DH technology offers an array of advantages in maize genetics and breeding as follows: first, it significantly shortens the breeding cycle by development of completely homozygous lines in two or three generations; and second, it simplifies logistics, including requiring less time, labor, and financial resources for developing new DH lines compared with the conventional RIL population development process.
In our study, we constructed a maize genetic linkage map using SSR markers and a DH population derived from a cross of normal corn (HF1) and normal corn (11S6169).
The DH population used in this study was developed by the following methods: we crossed normal corn (HF1) and normal corn (11S6169), which are parent lines of a normal corn cultivar, in 2014; and the next year, the F1 hybrids were crossed with a tropicalized haploid inducer line (TAIL), which is homozygous for the dominant marker gene R1-nj (Nanda and Chase in Crop Sci 6:213–215, 1966), and we harvested seeds of the haploid lines.
A total of 200 SSR markers were assigned to 10 linkage groups that spanned 1145.4 cM with an average genetic distance between markers of 5.7 cM. 68 SSR markers showed Mendelian segregation ratios in the DH population at a 5% significance threshold. A total of 15 quantitative trait loci (QTLs) for plant height (PH), ear height (EH), ear height ratio (ER), leaf length (LL), ear length (EL), set ear length (SEL), set ear ratio (SER), ear width (EW), 100 kernel weight (100 KW), and cob color (CC) were found in the 121 lines in the DH population.
The results of this study may help to improve the detection and characterization of agronomic traits and provide great opportunities for maize breeders and researchers using a DH population in maize breeding programs.
KeywordsMaize Genetic map DH population QTLs Agronomic trait SSR marker
This study was supported by the Cooperative Research Program for Agriculture Science and Technology Development (Project title #PJ013157012018, Project #PJ013308012018), Rural Development Administration, Republic of Korea, and the Golden Seed Project (No. 213009-05-1-WT821, PJ012650012017), Ministry of Agriculture, Food, and Rural Affairs (MAFRA), Ministry of Oceans and Fisheries (MOF), Rural Development Administration (RDA), and Korea Forest Service (KFS), Republic of Korea.
Compliance with ethical standards
Conflict of interest
Jae-Keun Choi declares that he has no conflict of interest. Kyu Jin Sa declares that he has no conflict of interest. Dae Hyun Park declares that he has no conflict of interest. Su Eun Lim declares that she has no conflict of interest. Si-Hwan Ryu declares that he has no conflict of interest. Jong Yeol Park declares that he has no conflict of interest. Ki Jin Park declares that he has no conflict of interest. Hae-Ik Rhee declares that he has no conflict of interest. Mijeong Lee declares that she has no conflict of interest. Ju Kyong Lee declares that he has no conflict of interest.
This article does not contain any studies with human subjects or animals performed by any of the above authors.
- Danson J, Lagat M, Kimani M, Kuria A (2008) Quantitative trait loci (QTLs) for resistance to gray leaf spot and common rust diseases of maize. Afr J Biotech 7:3247–3254Google Scholar
- Duvick DN, Smith JSC, Cooper RM (2004) Long-term selection in a commercial hybrid maize breeding program. Plant Breed Rev 24:109–151Google Scholar
- Forster BP, Thomas WTB (2005) Doubled haploids in genetics and plant breeding. Plant Breed Rev 25:57–88Google Scholar
- Gardiner JM, Coe EH, Melia-Hancock S, Hoisington DA, Chao S (1993) Development of a core RFLP map in maize using an immortalized F2 population. Genetics 134:917–930Google Scholar
- Geiger HH (2009) Doubled haploids. In: Bennetzen JL, Hake S (eds) Maize handbook-volume II; genetics and genomics. Springer, New York, pp 641–657Google Scholar
- Geiger HH, Gordillo GA (2009) Doubled haploids in hybrid maize breeding. Maydica 54:485–499Google Scholar
- Landi P, Albrecht B, Giuliani MM, Sanguineti MC (1998) Seedling characteristics in hydroponic culture and field performance of maize genotypes with different resistance to root lodging. Maydica 43:111–116Google Scholar
- Lechelt C, Peterson T, Laird A, Chen J, Dellaporta SL, Dennis E, Peacock W, Starlinger P (1989) Isolation and molecular analysis of the maize P locus. Mol Gene Genet 219:225–234Google Scholar
- Li Y, Ma XL, Wang TY, Li YX, Liu C, Liu ZZ, Sun BC, Shi YS, Song YC, Carlone M, Bubeck D, Bhardwaj H, Whitaker D, Wilson W, Jones E, Wright K, Sun SK, Niebur W, Smith S (2011b) Increasing maize productivity in China by planting hybrids with germplasm that responds favorably to higher planting densities. Crop Sci 51:2391–2400CrossRefGoogle 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 55:127–133Google Scholar
- Lu B, Xie K, Yang C, Zhang L, Wu T, Li L, Liu X, Jiang L, Wan J (2011) Efficient QTL detection for heading date in backcross inbred line and F2 population derived from the same rice cross. Afr J Agri Res 6:2372–2378Google Scholar
- Mclntyre CL, Mathews KL, Rattey A, Chapman SC, Drenth J, Ghaderi M, Reynolds M, Shorter R (2010) Molecular detection of genomic regions associated with grain yield and yield-related components in an elite bread wheat cross evaluated under irrigated and rainfed conditions. Theor Appl Genet 120:527–541CrossRefGoogle Scholar
- Prasanna BM, Chaikam V, Mahuku G (eds) (2012) Doubled haploid technology in maize breeding: theory and practice. CIMMYT, Mexico, D.F.Google Scholar
- Röber FK, Gordillo GA, Geiger HH (2005) In vivo haploid induction in maize-performance of new inducers and significance of doubled haploid lines in hybrid breeding. Maydica 50:275–283Google Scholar
- Ryu SH, Park JY, Huh NK, Min HK (2001) Relationship between genetic distance and hybrid performance of black waxy corn (Zea mays L.). Korean J Breed Sci 33:95–103Google Scholar
- Semagn K, Bjørnstad Å, Ndjiondjop MN (2006) Principle, requirements and prospects of genetic mapping in plants. Afr J Biotech 5:2569–2587Google Scholar
- Wang DL, Zhu J, Li ZK, Paterson AH (1999) User manual for QTL mapper version 1.0, pp 1–57Google Scholar
- Young ND (1995) Isolation and cloning of plant disease resistance genes. In: Singh RP, Singh US (eds) Molecular methods in plant pathology. Lewis, Boca Raton, pp 221–234Google Scholar
- Zhang X, Tang B, Liang W, Zheng Y, Qiu F (2011a) Quantitative genetic analysis of flowering time, leaf number and photoperiod sensitivity in maize (Zea mays L.). J Plant Breed Crop Sci 3:168–184Google Scholar