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Acta Agron Sin ›› 2015, Vol. 41 ›› Issue (10): 1510-1518.doi: 10.3724/SP.J.1006.2015.01510

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

QTL Mapping for Kernel Related Traits Based on a High-Density Genetic Map

QIN Wei-Wei,LI Yong-Xiang,LI Chun-Hui,CHEN Lin,WU Xun,BAI Na,SHI Yun-Su,SONG Yan-Chun,ZHANG Deng-Feng,WANG Tian-Yu*,LI Yu*   

  1. Institute of Crop Science, Chinese Academy of Agricultural Sciences, Beijing 100081, China
  • Received:2015-03-09 Revised:2015-06-01 Online:2015-10-12 Published:2015-07-01
  • Contact: 王天宇,E-mail: wangtianyu@caas.cn;黎裕,E-mail: liyu03@caas.cn E-mail:13811531756@139.com

Abstract:

Kernel size and weight are major determinants of grain yield. For understanding molecular mechanisms of kernel related traits, a recombinant inbred line (RIL) mapping population including 130 families was developed from the cross of two maize elite inbreds, Huangzaosi (HZS) and Mo17. By using the approach of GBS (genotyping-by-sequencing), the high-density genetic map with 1262 bin markers was constructed. QTLs for kernel related traits were identified by stepwise regression (RSTEP-LRT) using Windows QTL ICI-Mapping software in five environments. In total, 30 QTLs were detected in single environment and 11 QTLs were detected in joint environment. The kernel length major QTL qklen1 and the length/width major QTL qklw1 were found in the adjoining regions with a strong genetic effect in three environments. QTL qklen1 was located in a region of 210–212 Mb on chromosome 1 with explained 22.60% of phenotypic variance, and qklw1 was located in a region of 207–208 Mb on chromosome 1 with explained 26.79% of phenotypic variance. In addition, for further verification, another introgression population of BC3F1 was developed with Mo17 as the donor parent and HZS as the recurrent parent. The result of the single marker analysis suggested that qklen1 and qklw1 also had a significantly genetic effect, which is similar to that in the RIL population. The present study provides a good basis for studying genetic mechanism and molecular marker assisted selection for the improvement of kernel related traits in maize.

Key words: Maize, Kernel related trait, QTL, High-density genetic map

[1]Ray D K, Mueller N D, West P C, Foley J A. Yield trends are insufficient to double global crop production by 2050. PLoS One, 2013, 8(6): e66428



[2]Sundaresan V. Control of seed size in plants. Proc Natl Acad Sci USA, 2005, 12: 17887–17888



[3]Yang X, Ma H, Zhang P, Yan J, Guo Y, Song T, Li J. Characterization of QTL for oil content in maize kernel. Theor Appl Genet, 2012, 125: 1169-1179



[4]Ribaut J M, Jiang C, Gonzalez D, Edmeades G O, Hoisington D A. Identification of quantitative trait loci under drought conditions in tropical maize. 2. Yield components and marker assisted selection strategies. Theor Appl Genet, 1997, 94: 887–896



[5]Wen Y X, Zhu J. Multivariable conditional analysis for complex trait and its components. Acta Genet Sin, 2005, 32: 289–296



[6]Borras L, Otegui M E. Maize kernel weight response to post flowering source-sink ratio. Crop Sci, 2001, 41: 1816–1822



[7]Doebley J F, Gaut B S, Smith B D. The molecular genetics of crop domestication. Cell, 2006, 127: 1309–1321



[8]李永祥, 王阳, 石云素, 宋燕春, 王天宇, 黎裕. 玉米籽粒构型与产量性状的关系及QTL作图. 中国农业科学, 2009, 42: 408–418



Li Y X, Wang Y, Shi Y S, Song Y C, Wang T Y, Li Y. Correlation analysis and QTL mapping for traits of kernel structure and yield components in maize. Sci Agric Sin, 2009, 42: 408–418(in Chinese with English abstract)



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



[10]黎裕, 王天宇, 石云素, 宋燕春. 基因组学方法在玉米种质资源研究中的应用. 植物遗传资源学报, 2003, 4: 256–260



Li Y, Wang T Y, Shi Y S, Song Y C. Applications of genomics approaches in studies on maize germplasm. J Plant Genet Resour, 2003, 4: 256–260 (in Chinese with English abstract)



[11]Liu Y, Wang L W, Sun C L, Zhang Z X, Zheng Y L, Qiu F Z. Genetic analysis and major QTL detection for maize kernel size and weight in multi-environments. Theor Appl Genet, 2014, 127: 1019–1037



[12]Zhang Z H, Liu Z H, Hu Y M, Li W H, Fu Z Y, Ding D, Li H C, Qiao M M, Tang J H. QTL analysis of kernel-related traits in maize using an immortalized F2 population. PLoS One, 2014, 9(2): e89645



[13]Nikolic A, Andelkovic V, Dodig D, Drinic M S, Kravic N, Micic I D. Identification of QTLs for drought tolerance in maize: II. Yield and yield components. Genetica, 2013, 45: 341–350



[14]Colasuonno P, Gadaleta A, Giancaspro A, Nigro D, Giove S, Incerti O, Mangini G, Signorile A, Simeone R, Blanco A. Development of a high-density SNP-based linkage map and detection of yellow pigment content QTLs in durum wheat. Mol Breed, 2014, 34: 1563–1578



[15]Guo T T, Yang N, Tong H, Pan Q C, Yang X H, Tang J H, Wang J K, Li J S, Yan J B. Genetic basis of grain yield heterosis in an “immortalized F2” maize population. Theor Appl Genet, 2014, 127: 2149–2158



[16]Zou G H, Zhai G W, Feng Q, Yan S, Wang A H, Zhao Q, Shao J F, Zhang Z P, Zou J Q, Han B, Tao Y Z. Identification of QTLs for eight agronomically important traits using an ultra-high-density map based on SNPs generated from high-throughput sequencing in sorghum under contrasting photoperiods. J Exp Bot, 2012, 63: 5451–5462



[17]Chen D H, Ronald P. A rapid DNA minipreparation method suitable for AFLP and other PCR applications. Plant Mol Biol Rep, 1999, 17: 53–57



[18]Elshire R J, Glaubitz J C, Sun Q, Poland J A, Kawamoto K, Buckler E S, Mitchell S E. A robust, simple genotyping-by-sequencing (GBS) approach for high diversity species. PLoS One, 2011, 6(5): e19379



[19]Li C H, Li Y X, Shi Y S, Song Y C, Zhang D F, Buckler E S, Zhang Z W, Wang T Y, Li Y. Genetic control of the leaf angle and leaf orientation value as revealed by ultra-high density maps in three connected maize populations. PLoS One, 2015, 10(3): e0121624



[20]Wan X Y, Wan J M, Jiang L, Wang J K, Zhai H Q, Weng J F, Wang H L, Lei C L, Wang J L, Zhang X. QTL analysis for rice grain length and fine mapping of an identified QTL with stable and major effects. Theor Appl Genet, 2006, 112: 1258–1270



[21]Wang J K, Wan X Y, Crossa J, Crouch J, Weng J, Zhai H Q, Wan J M. QTL mapping of grain length in rice (Oryza sativa L.) using chromosome segment substitution lines. Genet Res, 2006, 88: 93–104



[22]Li H H, Ye G Y, Wang J K. A modified algorithm for the improvement of composite interval mapping. Genetics, 2007, 175: 361–374



[23]Gupta P K, Rustgi S, Kumar N. Genetic and molecular basis of grain size and its relevance to grain productivity in higher plants. Genome, 2006, 49: 565–571



[24]Peleg Z, Fahima T, Krugman T, Abbo S, Yakir D, Korol A B, Saranga Y. Genomic dissection of drought resistance in durum wheat × wild emmer wheat recombinant inbreed line population. Plant Cell Environ, 2009, 32: 758–779



[25]Tuberosa R, Salvi S, Sanguineti M C, Landi P, Maccaferri M, Conti S. Mapping QTL regulating morpho-physiological traits and yield: case studies, shortcomings and perspectives in drought-stressed maize. Ann Bot, 2002, 89: 941-963



[26]Li C H, Li Y X, Sun B C, Peng B, Liu C, Liu Z Z, Yang Z Z, Li Q C, Tan W W, Zhang Y, Wang D, Shi Y S, Song Y C, Wang T Y, Li Y. Quantitative trait loci mapping for yield components and kernel-related traits in multiple connected RIL populations in maize. Euphytica, 2013, 193: 303–316



[27]Austin D F, Lee M. Comparative mapping in F2:3 and F6:7 generations of quantitative trait loci for grain yield and yield components in maize. Theor Appl Genet, 1996, 92: 817–826



[28]张向歌, 王彬, 袁亮, 张晓祥, 时夏, 赵晓锋, 汤继华. 基于单片段代换系玉米子粒性状的QTL定位. 玉米科学, 2013, 21(6): 35–40



Zhang X G, Wang B, Yuan L, Zhang X X, Shi X, Zhao X F, Tang J H. QTL mapping for kernel related traits basing on the single segment substitution lines in maize. J Maize Sci, 2013, 21(6): 35–40 (in Chinese with English abstract)



[29]张伟强, 库丽霞, 张君, 韩赞平, 陈彦惠. 玉米出籽率、籽粒深度和百粒重的QTL分析. 作物学报, 2013, 39: 455–463



Zhang W Q, Ku L X, Zhang J, Han Z P, Chen Y H. QTL analysis of kernel ratio, kernel depth, and 100-kernel weight in maize (Zea mays L.). Acta Agron Sin, 2013, 39: 455–463(in Chinese with English abstract)

 


 
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