Abstract
Plant height is one of the most heritable traits in maize (Zea mays L.). Understanding the genetic control of plant height is important for elucidating the molecular mechanisms that regulate maize development. To investigate the genetic basis of the plant height response to density in maize, we evaluated the effects of two different plant densities (60,000 and 120,000 plant/hm2) on three plant height-related traits (plant height, ear height, and ear height-to-plant height ratio) using four sets of recombinant inbred line populations. The phenotypes observed under the two-plant density treatments indicated that high plant density increased the phenotypic performance values of the three measured traits. Twenty-three quantitative trait loci (QTLs) were detected under the two-plant density treatments, and five QTL clusters were located. Nine QTLs were detected under the low plant density treatment, and seven QTLs were detected under the high plant density treatment. Our results suggested that plant height may be controlled mainly by a common set of genes that could be influenced by additional genetic mechanisms when the plants were grown under high plant density. Fine mapping for genetic regions of the stable QTLs across different plant density environments may provide additional information about their different responses to density. The results presented here provide useful information for further research and will help to reveal the molecular mechanisms related to plant height in response to density.
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References
Aastveit AH, Aastveit K (1993) Effects of genotype environment interactions on genetic correlations. Theor Appl Genet 86:1007–1013
Ajmone-Marsan P, Monfredini G, Ludwig WF, Melchinger AE, Pagnotto G, Franceschini P, Motto M (1994) Identification of genomic affecting plant height and their relationship with grain yield and elite maize cross. Maydica 39:133–139
Andorf CM, Lawrence CJ, Harper LC, Schaeffer ML, Campbell DA (2010) The locus lookup tool at MaizeGDB: identification of genomic regions in maize by integrating sequence information with physical and genetic maps. Bioinformatics 26:434–436
Arcade A, Falque M, Mangin B, Chardon F, Charcosset A, Joets J (2004) BioMercator: integrating genetic maps and QTL towards discovery of candidate genes. Bioinformatics 20:2324–2326
Ashikari M, Yu JZ, Yano M, Sasaki T, Yoshimura A (1999) Rice gibberellin-insensitive dwarf mutant gene Dwarf 1 encodes the alpha-subunit of GTP-binding protein. Proc Natl Acad Sci USA 96:10284–10289
Bertin P, Gallais A (2001) Genetic variation for nitrogen use efficiency in a set of recombinant inbred lines II—QTL detection and coincidences. Maydica 46:53–68
Cambridge Goffinet B, Gerber S (2000) Quantitative trait loci: a meta-analysis. Genetics 155:463–473
Chardon F, Virlon B, Moreau L, Falque M, Joets J, Decousset Murigneux LA, Charcosset A (2004) Genetic architecture of flowering time in maize as inferred from quantitative trait loci meta-analysis and synteny conservation with rice genome. Genetics 168:2169–2185
Choe SW, Dilkes BP, Fujioka S, Takatsuto S, Sakurai A (1998) The DWF4 gene of arabidopsis encodes a cytochrome P450 that mediates multiple 22 alpha-hydroxylation steps in brassinosteroid biosynthesis. Plant Cell 10:231–243
Drouet JL, Moulia B (1997) Spatial re-orientation of maize leaves affected by initial plant orientation and density. Agric For Meteorol 88:85–100
Elisabetta F, Maria AC, Pierangelo L, Giorgio PMV (2007) Classical genetic and quantitative trait loci analyses of heterosis in a maize hybrid between two elite inbred lines. Genetics 176:625–644
Evans LT (1993) Crop evolution, adaptation and yield. Cambridge University Press, Cambridge, New York, USA
Gonzalo M, Vyn T, Holland JB, McIntyre LM (2006) Mapping density response in maize: a direct approach for testing genotype and treatment interactions. Genetics 173:331–348
Gonzalo M, Vyn TJ, Holland JB, McIntyre LM (2007) Mapping reciprocal effects and interactions with plant density stress in Zea mays L. Heredity 99:14–30
Gonzalo M, Holland JB, Vyn TJ, McIntyre LM (2010) Direct mapping of density response in a population of B73xMo17 recombinant inbred lines of maize (Zea mays L.). Heredity 104:583–599
Grant V (1981) Plant speciation. Columbia University Press, New York
Guo JJ, Chen ZL, Liu ZP, Wang BB, Song WB, Li W, Chen J, Dai JR, Lai JS (2011) Identification of genetic factors affecting plant density response through QTL mapping of yield component traits in maize (Zea mays L.). Euphytica. doi:10.1007/s10681-011-0517-8
Hartwig T, Chuck GS, Fujioka S, Klempien A, Weizbauer R (2011) Brassinosteroid control of sex determination in maize. Proc Natl Acad Sci USA 108(49):19814–19819
Hirel B, Bertin P, Quillere I, Bourdoncle W, Attagnant C, Dellay C (2001) Towards a better understanding of the genetic and physiological basis for nitrogen use efficiency in maize. Plant Physiol 125(3):1258–1270
Hund A, Fracheboud Y, Soldati A, Frascaroli E, Salvi S, Stamp P (2004) QTL controlling root and shoot traits of maize seedlings under cold stress. Appl Microbiol Biotechnol 63:618–629
Kozumplik V, Pejic I, Senior L, Pavlina R, Graham G, Stuber CW (1996) Use of molecular markers for QTL detection in segregating maize populations derived from exotic germplasm. Maydica 41:211–217
Lawit SJ, Wych HM, Xu D, Kundu S, Tomes DT (2010) Maize DELLA proteins dwarf plant 8 and dwarf plant 9 as modulators of plant development. Plant Cell Physiol 51:1854–1868
Li X, Liu X, Li M, Zhang S (2003) Identification of quantitative trait loci for anthesis–silking interval and yield components under drought stress in maize. Acta Botanica Sinica 45:852–857
Li YL, Dong YB, Niu SZ, Cui DQ (2007) The genetic relationship among plant-height traits found using multiple-traits found using multiple-trait QTL mapping of a dent corn and pop corn cross. Genome 50:357–364
Lübberstedt T, Melchinger AE, Schön CC, Utz HF, Klein D (1997) QTL mapping in testcrosses of European flint lines of maize I. Comparison of different testers for forage yield traits. Crop Sci 37:921–931
Maddonni GA, Otegui ME, Cirilo AG (2001) Plant population density, row spacing and hybrid effects on maize canopy architecture and light attenuation. Field Crops Research 71:183–193
Melchinger AE, Utz HF, Schön CC (1998) Quantitative trait locus (QTL) mapping using different testers and independent population samples in maize reveals low power of QTL detection and large bias in estimates of QTL effects. Genetics 149:383–403
Mendel G (1866) Versuche über Pflanzen-hybridenn. Verh. Natforsch. Ver. Brünn. English translation from web site http://www.esp.org/foundations/genetics/classical/gm-65.pdf. 4:3–47
Messmer R, Fracheboud Y, Bänziger 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
Multani DS, Briggs SP, Chamberlin MA, Blakeslee JJ, Murphy AS (2003) Loss of an MDR transporter in compact stalks of maize br2 and sorghum dw3 mutants. Science 302:81–84
Osman KA, Tang B, Wang Y, Chen J, Yu F, Li L, Han X, Zhang Z, Yan J, Zheng Y, Yue B, Qiu F (2013) Dynamic QTL analysis and candidate gene mapping for waterlogging tolerance at maize seedling stage. PLoS One 8:e79305
Qiu FZ, Zheng YL, Zhang ZL, Xu SZ (2007) Mapping of QTL associated with waterlogging tolerance during the seedling stage in maize. Ann Bot 99:1067–1081
Reiter R, Coors J, Sussman M, Gabelman W (1991) Genetic analysis of tolerance to low phosphorus stress in maize using restriction fragment length polymorphisms. Theor Appl Genet 82:561–568
Saghai-Maroof MA, Soliman KM, Jorgensen RA, Allard RW (1984) Ribosomal DNA spacer length polymorphisms in barley: mendelian inheritance chromosomal location and population and population dynamics. Proc Natl Acad Sci USA 81:8014–8018
Salas-fernandez MGS, Becraft PW, Yin YH, Lubberstedt T (2009) From dwarves to giants? Plant height manipulation for biomass yield. Trends Plant Sci 14:454–461
Sari-Gorla M, Krajewski P, Di Fonzo N, Villa M, Frova C (1999) Genetic analysis of drought tolerance in maize by molecular markers II. Plant height and flowering. Theor Appl Genet 99:289–295
Sauter M, Kende H (1992) Gibberellin-induced growth and regulation of the cell division cycle in deep water rice. Planta 188:362–368
Subedi KD, Ma BL, Smith DL (2006) Response of a leafy and non-leafy maize hybrid to population densities and fertilizer nitrogen levels. Crop Sci 46:1860–1869
Sunohara H, Kawai T, Shimizu-sato S, Sato Y, Sato K (2009) A dominant mutation of TWISTED DWARF 1 encoding an alpha-tubulin protein causes severe dwarfism and right helical growth in rice. Genes Genetic Syst 84:209–218
Tang JH, Teng WT, Yan JB, Ma XQ, Meng YJ, Dai JR, Li JS (2007) Genetic dissection of plant height by molecular markers using a population of recombinant inbred lines in maize. Euphytica 155:117–124
Tetiokagho F, Gardner FP (1988) Responses of maize to plant-population density 1. Canopy development, light relationships, and vegetative growth. Agron J 80:930–935
Van der Knaap E, Kim JH, Kende H (2000) A novel gibberellin-induced gene from rice and its potential regulatory role in stem growth. Plant Physiol 122:695–704
Wang Y, Li J (2008) Molecular basis of plant architecture. Annu Rev Plant Biol 59:253–279
Williams WA, Loomis RS, Duncan WG, Dovrat A, Nunez F (1968) Canopy architecture at various population densities and growth and grain yield of corn. Crop Sci 8:303–308
Winkler RG, Helentjaris T (1995) The maize Dwarf 3 gene encodes a cytochrome P450-mediated early step in Gibberellin biosynthesis. Plant Cell 7:1307–1317
Zeng ZB (1994) Precision mapping of quantitative trait loci. Genetics 13:1457–1468
Zhang J (2010) QTL mapping of plant architecture and yield-related traits in maize. Henan Agriculture University, Thesis on Degree of Master
Zhang XB, Tang B, Yu F, Li L, Wang M, Xue YD, Zhang ZX, Yan JB, Yue B, Zheng YL, Qiu FZ (2013) identification of major QTL for waterlogging tolerance using genome-wide association and linkage mapping of maize seedlings. Plant Mol Biol Rep 31:594–606
Acknowledgments
This work was supported by grants from the Science and Technology Innovation Talents of Henan University (No. 13HASTIT002), the National Natural Science Foundation of China (No. 31230055), the Corn Industry Technology System in Henan Province (S2010-02), the Key Base Research Project of Henan Province and the fund of the State Key Laboratory of Wheat and Maize Crop Science (SKL2014ZH-02).
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Communicated by S. Hohmann.
L. Ku and L. Zhang contributed equally to this work.
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Ku, L., Zhang, L., Tian, Z. et al. Dissection of the genetic architecture underlying the plant density response by mapping plant height-related traits in maize (Zea mays L.). Mol Genet Genomics 290, 1223–1233 (2015). https://doi.org/10.1007/s00438-014-0987-1
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DOI: https://doi.org/10.1007/s00438-014-0987-1