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Acta Agron Sin ›› 2012, Vol. 38 ›› Issue (08): 1435-1442.doi: 10.3724/SP.J.1006.2012.01435

• CROP GENETICS & BREEDING·GERMPLASM RESOURCES·MOLECULAR GENETICS • Previous Articles     Next Articles

QTL Analysis of Tassel-Related Traits in Maize (Zea mays L.) Using Multiple Connected Populations

YANG Zhao-Zhao1,LI Yong-Xiang1,LIU Cheng2,LIU Zhi-Zhai1,LI Chun-Hui1,LI Qing-Chao1,PENG Bo1,ZHANG Yan1,WANG Di1,TAN Wei-Wei1,SUN Bao-Cheng2,SHI Yun-Su1,*,SONG Yan-Chun1,WANG Tian-Yu1,LI Yu1   

  1. 1 Institute of Crop Sciences, Chinese Academy of Agricultural Sciences, Beijing 100081, China; 2 Institute of Food Crops, Xinjiang Academy of Agricultural Sciences, Urumqi 830000, China
  • Received:2012-01-13 Revised:2012-04-20 Online:2012-08-12 Published:2012-06-04
  • Contact: 石云素, E-mail: shiyunsu@mail.caas.net.cn?

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Abstract: Maize tassel-related traits are of importance to maize production. QTLs for three tassel-related traits were mapped in 11 RIL populations with the common parent “Huangzaosi” under a single environment and across environments to understand genetic basis of maize tassels. Meanwhile, epistasis among QTLs and QTL by environment interactions (QEI) was analyzed. Totally 15 major constitutive QTLs were detected in at least five environments. Particularly, two constitutive QTLs were detected in bin 3.04 in the Qi 319 and Lü 28 populations, which had an overlapping interval of 226.0–230.1 on the IBM 2008 Neighbors map, with a quite high phenotypic variance explained, and the mean R2 of 17.4% and 14.4%, respectively. A total of 21 common QTLs were detected in more than two populations, of which five on chromosome 2, 3, 6 and 8 were found in three populations. The QTLs stably expressed under different environments or genetic backgrounds may play an important role in controlling maize tassel-related traits, and be used at the candidates for fine mapping and positional cloning.

Key words: Maize, Tassel-related traits, QTL

[1]Lambert R J, Johnson R R. Leaf angle, tassel morphology, and the performance of maize hybrids. Crop Sci, 1978, 18: 499–502

[2]Geraldi K S, Miranda Filho J B, Vencovsky R. Estimates of genetic parameters of tassel characters in maize (Zea mays L.) and breeding perspectives. Maydica, 1985, 30: 1–14

[3]Monneveux P, Sanchez C, Tiessen A. Future progress in drought tolerance in maize needs new secondary traits and cross combinations. J Agric Sci, 2008, 146: 287–300

[4]Li Y, Ma X, Wang T, Li Y, Liu C, Liu Z, Sun B, Shi Y, Song Y, Carlone M, Bubeck D, Bhardwaj H, Whitaker D, Wilson W, Jones E, Wright K, Sun S, Niebur W, Smith S. Increasing maize productivity in China by planting hybrids with germplasm that responds favorably to higher planting densities. Crop Sci, 2011, 51: 2391–2400

[5]Brown P J, Upadyayula N, Mahone G S, Tian F, Bradbury P J, Myles S, Holland J B, Flint-Garcia S, McMullen M D, Buckler E S, Rocheford T R. Distinct genetic architectures for male and female inflorescence traits of maize. PLoS Genet, 2011, 7: 1–14

[6]Mickelson S M, Stuber C S, Senior L, Kaeppler S M. Quantitative trait loci controlling leaf and tassel traits in a B73 × Mo17 population of maize. Crop Sci, 2002, 42: 1902–1909

[7]Upadyayula N, Silva H S, Bohn M O, Rocheford T R. Genetic and QTL analysis of maize tassel and ear inflorescence architecture. Theor Appl Genet, 2006, 112: 592–606

[8]Tang H(汤华), Yan J-B(严建兵), Huang Y-Q(黄益勤), Zheng Y-L(郑用琏), Li J-S(李建生). QTL mapping of five agronomic traits in maize. Acta Genet Sin (遗传学报), 2005, 32(2): 203–209 (in Chinese with English abstract)

[9]Wang D(王迪), Li Y-X(李永祥), Wang Y(王阳), Liu C(刘成), Liu Z-Z(刘志斋), Peng B(彭勃), Tan W-W(谭巍巍), Zhang Y(张岩), Sun B-C(孙宝成), Shi Y-S(石云素), Song Y-C(宋燕春), Wang T-Y(王天宇), Li Y(黎裕). Major quantitative trait loci analysis of tassel primary branch number and tassel weight in maize (Zea mays). Chin Bull Bot (植物学报), 2011, 46(1): 11–20 (in Chinese with English abstract)

[10]Blanc G, Charcosset A, Mangin B, Gallais A, Moreau L. Connected populations for testing for epistasis: an application in maize. Theor Appl Genet, 2006, 113: 206–224

[11]Peng B, Li Y, Wang Y, Liu C, Liu Z, Tan W, Zhang Y, Wang D, Shi Y, Sun B, Song Y, Wang T, Li Y. QTL analysis for yield components and kernel-related traits in maize across multi-environments. Theor Appl Genet, 2011, 122: 1305–1320

[12]Maroof M, Biyashev R M, Yang G P, Zhang Q, Allard R W. Extraordinarily polymorphic microsatellite DNA in barley: species diversity, chromosomal location and population dynamics. Proc Natl Acad Sci USA, 1994, 91: 5466–5470

[13]Lander E S, Green P, Abranhanson J, Barlow A, Daley M, Lincoln S, Newburg L. MAPMAKER: an interactive computer package for cinstructing primary genetic linkage maps of experimental and natural populations. Genomics, 1987, 1: 174–181

[14]Haldane J B S. The combination of linkage values and the calculation of distance between the loci of linked factor. Genetics, 1919, 8: 299–309

[15]Li H, Ye G, Wang J. A modified algorithm for the improvement of composite interval mapping. Genetics, 2007, 175: 161–174

[16]Wang J-K(王建康). Inclusive composite interval mapping of quantitative trait genes. Acta Agron Sin (作物学报), 2009, 35(2): 1–7 (in Chinese with English abstract)

[17]Liao Y-X(廖永祥), Wang J(王瑾), Zhou R-H(周荣华), Ren Z-L(任正隆), Jia J-Z(贾继增). Mining favorable alleles of QTLs conferring 1000-grain weight from synthetic wheat. Acta Agron Sin (作物学报), 2008, 34(11): 1877–1884 (in Chinese with English abstract)

[18]Yang J, Zhu J. Predicting superior genotypes in multiple environments based on QTL effects. Theor Appl Genet, 2005, 100: 1268–1274

[19]Lu M(路明), Zhou F(周芳), Xie C-X(谢传晓), Li M-S(李明顺), Xu Y-B(徐云碧), Warburton M, Zhang S-H(张世煌). Construction of a SSR linkage map and mapping of quantitative trait loci (QTL) for leaf angle and leaf orientation with an elite maize hybrid. Hereditas (遗传), 2007, 29(9): 1131–1138 (in Chinese with English abstract)

[20]Berke T G, Rocheford T R. Quantitative trait loci for tassel traits in maize. Crop Sci, 1999, 39: 1439–1443

[21]Upadyayula N, Wassom J, Bohn M O, Rocheford T. Quantitative trait loci analysis of phenotypic traits and principal components of maize tassel inflorescence architecture. Theor Appl Genet, 2006, 113: 1395–1407

[22]Pressoir G, Brown P J, Zhu W, Upadyayula N, Rocheford T, Buckler E S, Kresovich S. Natural variation in maize architecture is mediated by allelic differences at the PINOID co-ortholog barren inflorescence2. Plant J, 2009, 58: 818–828

[23]Vollbrecht E, Springer S P, Goh L, Buckler E S, Martienssen R. Architecture of floral branch systems in maize and related grasses. Nature, 2005, 436: 1119–1126

[24]Bortiri E, Hake S. Flowering and determinacy in maize. J Exp Bot, 2007, 58: 909–916

[25]Buckler E S, Holland J B, Bradbury P J, Acharya C B, Brown P J, Browne C, Ersoz E, Flint-Garcia S, Garcia A, Glaubitz J C, Goodman M M, Harjes C, Guill K, Kroon D E, Larsson S, Lepak N K, Li H, Mitchell S E, Pressoir G, Peiffer J A, Rosas M O, Rocheford T R, Romay M C, Romero S, Saivo S, Villeda H S, Silva H S, Sun Q, Tian F, Upadyayula N, Ware D, Yates H, Yu J, Zhang Z, Kresovich S, McMullen M D. The genetic architecture of maize flowering time. Science, 2009, 325: 714–718

[26]Chardon F, Virion B, Moreau L, Falque M, Joets J, Decousset L, Murigneux A, Charcosset A. Genetic architecture of flowering time in maize as inferred from quantitative trait loci meta-analysis and synteny conservation with the rice genome. Genetics, 2004, 168: 2169–2185
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