Abstract
Plant height (PH) in wheat is a complex trait; its components include spike length (SL) and internode lengths. To precisely analyze the factors affecting PH, two F8:9 recombinant inbred line (RIL) populations comprising 485 and 229 lines were generated. Crosses were performed between Weimai 8 and Jimai 20 (WJ) and between Weimai 8 and Yannong 19 (WY). Possible genetic relationships between PH and PH components (PHC) were evaluated at the quantitative trait locus (QTL) level. PH and PHC (including SL and internode lengths from the first to the fourth counted from the top, abbreviated as FIITL, SITL, TITL, and FOITL, respectively) were measured in four environments. Individual and the pooled values from four trials were used in the present analysis. A QTL for PH was mapped using data on PH and on PH conditioned by PHC using IciMapping V2.2. All 21 chromosomes in wheat were shown to harbor factors affecting PH in two populations, by both conditional and unconditional QTL mapping methods. At least 11 pairwise congruent QTL were identified in the two populations. In total, ten unconditional QTL and five conditional QTL that could be detected in the conditional analysis only have been verified in no less than three trials in WJ and WY. In addition, three QTL on the short arms of chromosomes 4B, 4D, and 7B were mapped to positions similar to those of the semi-dwarfing genes Rht-B1, Rht-D1 and Rht13, respectively. Conditional QTL mapping analysis in WJ and WY proved that, at the QTL level, SL contributed the least to PH, followed by FIITL; TITL had the strongest influence on PH, followed by SITL and FOITL. The results above indicated that the conditional QTL mapping method can be used to evaluate possible genetic relationships between PH and PHC, and it can efficiently and precisely reveal counteracting QTL, which will enhance the understanding of the genetic basis of PH in wheat. The combination of two related populations with a large/moderate population size made the results authentic and accurate.
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Abbreviations
- PH:
-
Plant height
- PHC:
-
Plant height components
- SL:
-
Spike length
- FIITL:
-
The first internode length from the top
- SITL:
-
The second internode length from the top
- TITL:
-
The third internode length from the top
- FOITL:
-
The fourth internode length from the top
- WJ:
-
Recombinant inbred line population derived from the cross between Weimai 8 and Jimai 20
- WY:
-
Recombinant inbred line population derived from the cross between Weimai 8 and Yannong 19
References
Beavis WB (1998) QTL analyses: power, precision, and accuracy. In: Patterson AH (ed) Molecular dissection of complex traits. CRC Press, Boca Raton
Börner A, Schumann E, Fürste A, Cöster H, Leithold B, Röder MS, Weber WE (2002) Mapping of quantitative trait loci determining agronomic important characters in hexaploid wheat (Triticum aestivum L.). Theor Appl Genet 105:921–936
Buckler ES, Holland JB, Acharya CB, Brown PJ, Browne C, Ersoz E, Flint-Garcia S, Garcia A, Glaubitz JC, Goodman MM, Harjes C, Guill K, Kroom DE, Larsson S, Lepak NK, Li HH, Mitchell SE, Pressoin G, Peiffer JA, Rosas MO, Rocheford TR, Romay MC, Romero S, Salvo S, Villeda HS, Sliva HSD, Sun Q, Tian F, Upadyayula N, Ware D, Yates H, Yu J, Zhang Z, Kresovich S, McMullen MD (2009) The genetic architecture of maize flowering time. Science 325:714–718
Cadalen T, Sourdille P, Charmet G, Tixier MH, Gay G, Boeuf C, Bernard S, Leroy P, Bernard M (1998) Molecular markers linked to genes affecting plant height in wheat using a double haploid population. Theor Appl Genet 96:933–940
Chu CG, Xu SS, Friesen TL, Faris JD (2008) Whole genome mapping in a wheat doubled haploid population using SSRs and TRAPs and the identification of QTL for agronomic traits. Mol Breed 22:251–266
Doerge RW (2002) Multifactorial genetics: mapping and analysis of quantitative trait loci in experimental populations. Nat Rev 3:43–52
Dunn GJ, Briggs KG (1989) Variation in culm anatomy among barley genotypes differing in lodging resistance. Can J Bot 67:1838–1843
Ellis MH, Rebetzke GJ, Azanza F, Richards RA, Spielmeyer W (2005) Molecular mapping of gibberellin-responsive dwarfing genes in bread wheat. Theor Appl Genet 111:423–430
Gao LF, Jing RL, Huo NX, Li Y, Li XP, Zhou RH, Chang XP, Tang JF, Ma ZY, Jia JZ (2004) One hundred and one new microsatellite loci derived from ESTs (EST-SSR) in bread wheat. Theor Appl Genet 108:1392–1400
Guo LB, Xing YZ, Mei HW, Xu CG, Shi CH, Wu P, Luo LJ (2005) Dissection of component QTL expression in yield formation in rice. Plant Breed 124:127–132
Hao YF, Liu AF, Wang YH, Feng DS, Gao JR, Li XF, Liu SB, Wang HG (2008) Pm23: a new allele of Pm4 located on chromosome 2AL in wheat. Theor Appl Genet 117:1205–1212
Huang XQ, Cöster H, Ganal MW, Röder MS (2003) Advanced backcross QTL analysis for the identification of quantitative trait loci alleles from wild relatives of wheat (Triticum aestivum L.). Theor Appl Genet 106:1379–1389
Huang XQ, Kempf H, Ganal MW, Röder MS (2004) Advanced backcross QTL analysis in progenies derived from a cross between a German elite winter wheat variety and a synthetic wheat (Triticum aestivum L.). Theor Appl Genet 109:933–943
Huang XQ, Cloutier S, Lycar L, Radovanovic N, Humphreys DG, Noll JS, Somers DJ, Brown PD (2006) Molecular detection of QTLs for agronomic and quality traits in a doubled haploid population derived from two Canadian wheats (Triticum aestivum L.). Theor Appl Genet 113:753–766
Kato K, Miura H, Sawada S (1999) QTL mapping of genes controlling ear emergence time and plant height on chromosome 5A of wheat. Theor Appl Genet 98:472–477
Keller M, Karutz Ch, Schmid JE, Stamp P, Winzeler M, Keller B, Messmer MM (1999) Quantitative trait loci for lodging resistance in a segregating wheat × spelt population. Theor Appl Genet 98:1171–1182
Klahr A, Zimmermann G, Wenzel G, Mohler V (2007) Effects of environment, disease progress, plant height and heading date on the detection of QTLs for resistance to Fusarium head blight in an European winter wheat cross. Euphytica 154:17–28
Kosambi DD (1944) The estimation of map distances from recombination values. Ann Eugen 12:172–175
Kumar N, Kulwal PL, Balyan HS, Gupta PK (2007) QTL mapping for yield and yield contributing traits in two mapping populations of bread wheat. Mol Breed 19:163–177
Lander ES, Botstein D (1989) Mapping mendelian factors underlying quantitative traits using RFLP linkage maps. Genetics 121:185–199
Lander ES, Green P, Abrahamson J, Barlow A, Daly MJ, Lincoln SE, Newberg L (1987) MAPMAKER: an interactive computer package for constructing primary genetic linkage maps of experimental and natural populations. Genomics 1:174–181
Law CN, Snape JW, Worland AJ (1973) The genetical relationship between height and yield in wheat. Heredity 40:133–151
Li HH, Ye GY, Wang JK (2007a) A modified algorithm for the improvement of composite interval mapping. Genetics 175:361–374
Li SS, Jia JZ, Wei XY, Zhang XC, Li LZ, Chen HM, Fan YD, Sun HY, Zhao XH, Lei TD, Xu YF, Jiang FS, Wang HG, Li LH (2007b) A intervarietal genetic map and QTL analysis for yield traits in wheat. Mol Breed 20:167–178
Liang D, Tang JW, Peña RJ, Singh R, He XY, Shen XY, Yao DN, Xia XH, He ZH (2010) Characterization of CIMMYT bread wheats for highand low-molecular weight glutenin subunits and other quality-related genes with SDS-PAGE, RP-HPLC and molecular markers. Euphytica 172:235–250
Liu ZH, Anderson JA, Hu J, Friesen TL, Rasmussen JB, Faris JD (2005) A wheat intervarietal genetic linkage map based on microsatellite and target region amplified polymorphism markers and its utility for detecting quantitative trait loci. Theor Appl Genet 111:782–794
Liu GF, Yang J, Xu HM, Hayat Y, Zhu J (2008a) Genetic analysis of grain yield conditioned on its component traits in rice (Oryza sativa L.). Aust J Agric Res 59:189–195
Liu SX, Chao SM, Anderson JA (2008b) New DNA markers for high molecular weight glutenin subunits in wheat. Theor Appl Genet 118:177–183
Ma ZQ, Zhao DM, Zhang CQ, Zhang ZZ, Xue SL, Lin F, Kong ZX, Tian DG, Luo QY (2007) Molecular genetic analysis of five spike-related traits in wheat using RIL and immortalized F2 populations. Mol Genet Genomics 277:31–42
Mackay TFC (2001) The genetic architecture of quantitative traits. Annu Rev Genet 35:303–339
Mao SL, Wei YM, Cao WG, Lan XJ, Yu M, Chen ZM, Chen GY, Zheng YL (2010) Confirmation of the relationship between plant height and Fusarium head blight resistance in wheat (Triticum aestivum L.) by QTL meta-analysis. Euphytica 174:343–356
Marza F, Bai GH, Carver BF, Zhou WC (2006) Quantitative trait loci for yield and related traits in the wheat population Ning7840 × Clark. Theor Appl Genet 112:688–698
McCartney CA, Somers DJ, Humphreys DG, Lukow O, Ames N, Noll J, Cloutier S, McCallum BD (2005) Mapping quantitative trait loci controlling agronomic traits in the spring wheat cross RL4452 × ‘AC Domain’. Genome 48:870–883
Mullan DJ, Platteter A, Teakle NL, Appels R, Colmer TD, Anderson JM, Francki MG (2005) EST-derived SSR markers from defined regions of the wheat genome to identify Lophopyrum elongatum specific loci. Genome 48:811–822
Nagaoka T, Ogihara Y (1997) Applicability of inter-simple sequence repeat polymorphisms in wheat for use as DNA markers in comparison to RFLP and RAPD markers. Theor Appl Genet 94:597–602
Peng JH, Lapitan NLV (2005) Characterization of EST-derived microsatellites in the wheat genome and development of eSSR markers. Funct Integr Genomics 5:80–96
Peter H (2003) The genes of the green revolution. Trends Genet 19:5–9
Pinthus MJ (1973) Lodging in wheat, barley and oats: the phenomenon, its causes and preventative measures. Adv Agron 25:209–263
Röder MS, Korzun V, Wendehake K, Plaschke J, Tixier M-H, Leroy P, Ganal MW (1998) A microsatellite map of wheat. Genetics 149:2007–2023
Schön CC, Utz HF, Groh S, Truberg B, Openshaw S, Melchinger AE (2004) Quantitative trait locus mapping based on resampling in a vast maize testcross experiment and its relevance to quantitative genetics for complex traits. Genetics 167:485–498
Singh NK, Shepherd KW (1991) A simplified SDS-PAGE procedure for separation LMW subunits of glutenin. J Cereal Sci 14:203–208
Snape JW, Law CN, Worland AJ (1977) Whole-chromosome analysis of height in wheat. Heredity 38:25–36
Sourdille P, Cadalen T, Guyomarc’h H, Snape JW, Perretant MR, Charmet G, Boeuf C, Bernard S, Bernard M (2003) An update of the Courtot × Chinese Spring intervarietal molecular marker linkage map for the QTL detection of agronomic traits in wheat. Theor Appl Genet 106:530–538
Stanca AM, Jenkins G, Hanson PR (1979) Varietal responses in spring barley to natural and artificial lodging and to a growth regulator. J Agric Sci (Cambridge) 93:440–456
Suenaga K, Khairallah M, William HM, Hoisington DA (2005) A new intervarietal linkage map and its application for quantitative trait locus analysis of “gigas” features in bread wheat. Genome 48:65–75
Tavakoli H, Mohtasebi SS, Jafari A (2009) Effects of moisture content, internode position and loading rate on the bending characteristics of barley straw. Res Agric Eng 55(2):45–51
Vales MI, Schön CC, Capettini F, Chen XM, Corey AE, Mather DE, Mundt CC, Richardson KL, Sandoval-Islas JS, Utz HF, Hayes PM (2005) Effect of population size on the estimation of QTL: a test using resistance to barley stripe rust. Theor Appl Genet 111:1260–1270
Wang RX, Hai L, Zhang XY, You GX, Yan CS, Xiao SH (2009) QTL mapping for grain filling rate and yield-related traits in RILs of the Chinese winter wheat population Heshangmai × Yu8679. Theor Appl Genet 118:313–325
Wang ZH, Wu XS, Ren Q, Chang XP, Li RZ, Jing RL (2010) QTL mapping for developmental behavior of plant height in wheat (Triticum aestivum L.). Euphytica 174:447–458
Wen YX, Zhu J (2005) Multivariable conditional analysis for complex trait and its components. Acta Genet Sin 32:289–296
Worland AJ, Korzun V, Röder MS, Ganal MW, Law CN (1998) Genetic analysis of the dwarfing gene Rht8 in wheat. Part II. The distribution and adaptive significance of allelic variants at the Rht8 locus of wheat as revealed by microsatellite screening. Theor Appl Genet 96:1110–1120
Wu XS, Wang ZH, Chang XP, Jing RL (2010) Genetic dissection of the developmental behaviours of plant height in wheat under diverse water regimes. J Exp Bot 61:2923–2937
Zhang KP, Tian JC, Zhao L, Wang SS (2008) Mapping QTLs with epistatic effects and QTL × environment interactions for plant height using a doubled haploid population in cultivated wheat. J Genet Genomics 35:119–127
Zhao JY, Becker HC, Zhang DQ, Zhang YF, Ecke WG (2006) Conditional QTL mapping of oil content in rapeseed with respect to protein content and traits related to plant development and grain yield. Theor Appl Genet 113:33–38
Zhao CH, Cui F, Zong H, Wang YH, Bao YG, Hao YF, Du B, Wang HG (2009) Transmission of the chromosome 1R in winter wheat germplasm Aimengniu and its derivatives revealed by molecular markers. Agric Sci China 8(6):652–657
Zhu J (1992) Mixed model approaches for estimating genetic variance and covariance. J Biomath 7:1–11
Zhu J (1995) Analysis of conditional genetic effects and variance components in developmental genetics. Genetics 141:1633–1639
Zou F, Gelfond JAL, Airey DC, Lu L, Manly KF, Williams RW, Hreadgill DW (2005) Quantitative trait locus analysis using recombinant inbred intercross (RIX): theoretical and empirical onsiderations. Genetics 170:1299–1311
Acknowledgments
This research was supported by the National Basic Research Program of China (973 Program, 2006CB101700). The author thanks Dr. Jun Zhu, Institute of Bioinformatics, College of Agriculture and Biotechnology, Zhejiang University, Hangzhou, Zhejiang 310029, People’s Republic of China, for technical assistance.
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Communicated by M. Sorrells.
F. Cui, J. Li, A. Ding, and C. Zhao contributed equally to this work.
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Cui, F., Li, J., Ding, A. et al. Conditional QTL mapping for plant height with respect to the length of the spike and internode in two mapping populations of wheat. Theor Appl Genet 122, 1517–1536 (2011). https://doi.org/10.1007/s00122-011-1551-6
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DOI: https://doi.org/10.1007/s00122-011-1551-6