Mapping of QTL Associated with Drought Tolerance in a Semi-Automobile Rain Shelter in Maize (Zea mays L.)

doi:10.1016/S1671-2927(11)60085-0

摘要/Abstract

摘要： Drought is a major constraint in maize production worldwide. We studied quantitative trait loci (QTL) underlying droughttolerance for maize plants grown in two different environments. Traits investigated included ASI, plant height, grain yield,ear height, and ear setting. A genetic linkage map was constructed with 120 simple sequence repeat (SSR) markers basedon an F2 population derived from a cross between D5 (resistant parent) and 7924 (susceptible parent). Correlation andheritability were calculated. QTLs of these traits were identified by composite interval mapping combined with a linkagemap covering 1 790.3 cM. The markers were arranged in ten linkage groups. QTL mapping was made of the mean traitperformance of the 180 F2:3 population. The results showed five, five, six, four, and five QTLs for ASI, plant height, grainyield, ear height, and ear setting under full irrigation condition, respectively, and four, seven, six, four, and four QTLs forASI, plant height, grain yield, ear height, and ear setting under severe late stress conditions, respectively. Especially thefour QTLs detected for five traits in 2008 and 2009. The universal QTLs information generated in this study will aid inundertaking an integrated breeding strategy for further genetic studies in drought tolerance improvement in maize.

关键词:

maize, drought tolerance, simple sequence repeat, quantitative trait loci

Abstract: Drought is a major constraint in maize production worldwide. We studied quantitative trait loci (QTL) underlying droughttolerance for maize plants grown in two different environments. Traits investigated included ASI, plant height, grain yield,ear height, and ear setting. A genetic linkage map was constructed with 120 simple sequence repeat (SSR) markers basedon an F2 population derived from a cross between D5 (resistant parent) and 7924 (susceptible parent). Correlation andheritability were calculated. QTLs of these traits were identified by composite interval mapping combined with a linkagemap covering 1 790.3 cM. The markers were arranged in ten linkage groups. QTL mapping was made of the mean traitperformance of the 180 F2:3 population. The results showed five, five, six, four, and five QTLs for ASI, plant height, grainyield, ear height, and ear setting under full irrigation condition, respectively, and four, seven, six, four, and four QTLs forASI, plant height, grain yield, ear height, and ear setting under severe late stress conditions, respectively. Especially thefour QTLs detected for five traits in 2008 and 2009. The universal QTLs information generated in this study will aid inundertaking an integrated breeding strategy for further genetic studies in drought tolerance improvement in maize.

Key words: maize, drought tolerance, simple sequence repeat, quantitative trait loci

ZHU Jing-jing*, WANG Xiao-peng*, SUN Cui-xia, ZHU Xiu-miao, LI Meng, ZHANG Guo-dong, TIAN Yanchen, WANG Ze-li. Mapping of QTL Associated with Drought Tolerance in a Semi-Automobile Rain Shelter in Maize (Zea mays L.)[J]. Journal of Integrative Agriculture, 2011, 10(7): 987-996.

参考文献

[1]       Agrama H A S, Moussa M E. 1996. Mapping QTLs inbreedingfor drought tolerance in maize (Zea may L.). Euphytica, 91,89-97.
[2]       Ajmone Marsan P, Gorni C, ChittòA, Redaelli R, van Vijk R,Stam P, Motto M. 2001. Identification of QTLs for grainyield and grain-related traits of maize (Zea mays L.) using anAFLP map, different testers, and cofactor analysis.Theoretical and Applied Genetics, 102, 230-243.
[3]       Austin D F, Lee M. 1996. Comparative mapping in F2:3 and F6:7generations of quantitative trait loci for grain yield and yieldcomponents in maize. Theoretical and Applied Genetics, 92,817-826.
[4]       Austin D F, Lee M. 1998. Detection of quantitative trait forgrain yield and yield components in maize across generationsin stress and non stress environments. Crop Science, 38,1296-1308.
[5]       Bassam B J, Caetano-Anolles G, Gresshoff P M. 1991. Fast andsensitive silver staining of DNA in olyacrilamide gels.Analytical Biochemistry, 196, 80-83.
[6]       Bolaos J, Edmeades G O. 1996. The importance of the anthesissilkinginterval inbreeding for drought tolerance in tropicalmaize. Field Crops Research, 48, 68-80.
[7]       Bruce W B, Edmeades G O, Barker T C. 2002. Molecular andphysiological approaches to maize improvement for droughttolerance. Journal of Experimental Botany, 53, 13-25.
[8]       Frova C, Krajewski P, Fonzo N D, Villa M, Sari-Gorla M. 1999.Genetic analysis of drought tolerance in maize by molecularmarkers. I. Yield components. Theoretical and AppliedGenetics, 99, 280-288.
[9]       Gao S B, Feng Z L, Li W C, Rong T Z. 2005. Mapping QTLs forroot and yield under drought stress in maize. Acta AgronomicaSinica, 31, 718-722. (in Chinese)
[10]    Hu R F, Erika C H M, Zhang S H, Shi X H. 2003. Prioritizationfor maize research and development in China. Bulletin ofNational Natural Science Foundation of China, 17, 273-276.(in Chinese)
[11]    Hyne V, Kearsey M J, Pike D J, Snape J W. 1995. QTL analysis:unreliability and bias in estimation procedures. MolecularBreeding, 1, 273-282.
[12]    Kosmbi D D. 1944. The estimation of map distances fromrecombination values. Annals of Eugenics, 12, 172-175.
[13]    Lander E S, Green P, Abraharmson J, Barlow A, Daly M J,Lincoln S E, Newburg L. 1987. MAPMAKER: an interactivecomputer package for constructing primary genetic linkagemaps of experimental and natural populations. Genomics, 1,174-181.
[14]    Li X H, Liu X D, Li M S, Zhang S H. 2003. Identification ofquantitative trait loci for anthesis-silking interval and yieldcomponents under drought stress in maize. Acta BotanicaSinica, 45, 852-857.
[15]    Li Z N, Wang G M, Zeng Z W. 2003. The study on ABA in plantunder drought stress. Agricultural Research in the Arid Areas,21, 99-104. (in Chinese)
[16]    Liu Z W, Biyashev R M, Saghai-Maroof M A. 1996.Development of simple sequence repeat DNA markers andtheir integration into a barley linkage map. Theoretical andApplied Genetics, 93, 869-876.
[17]    Ma X Q, Tang J H, Teng W T, Yan J B, Meng Y J, Li J S. 2007.Epistatic interaction is an important genetic basis of grainyield and its components in maize. Molecular Breeding, 20,41-51.
[18]    Morris M, Dreher K, Ribaut J M, Khairallah M. 2003. Moneymatters (II): costs of maize inbred line conversion schemesat CIMMYT using conventional and marker-assistedselection. Molecular Breeding, 11, 235-247.
[19]    Ribaut J M, Hoisington D A, Deutsch J A, Jiang C, Gonzalezde-Leon D. 1996. Identification of quantitative traits lociunder drought conditions in tropical maize. . Floweringparameters and the anthesis-silking interval. Theoretical andApplied Genetics, 92, 905-914.
[20]    Ribaut J M, Jiang C, Gonzalez-de-Leon D, Edmeades G O,Hoisington D A. 1997. Identification of quantitative traitloci under drought conditions in tropical maize. 2. Yieldcomponents and marker-assisted selection strategies.Theoretical and Applied Genetics, 94, 887-896.
[21]    Ribaut J M, Banziger M, Hoisington D. 2002. Genetic dissectinand plant improvement under abiotic stress conditions:drought tolerance in maize as an example. JIRCAS WorkingReport, 23, 85-92.
[22]    Sari-Gorla M, Krajewski P, Di Fonzo N, Villa M, Frova C. 1999.Genetic analysis of drought tolerance in maize by molecularmarkers. . Plant height and flowering. Theoretical andApplied Genetics, 99, 289-295.
[23]    Stein N, Herren G, Keller B. 2001. A new DNA extraction methodfor high-throughput marker analysis in a large-genome speciessuch as Triticum aestivum. Plant Breeding, 120, 354-356.
[24]    Tanksley S D. 1993. Mapping polygenes. Annual Review ofGenetics, 27, 205-233.
[25]    Tuberosa R, Sanguineti M C, Landi P, Giuliani M M, Salvi S,Conti S. 2002. Identification of QTLs for root characteristicsin maize grown in hydroponics and analysis of their overlapwith QTLs for grain yield in the field at two water regimes.Plant Molecular Biology, 48, 697-712.
[26]    Veldboom L R, Lee M. 1996. Genetic mapping of quantitativetrait loci in maize in stress and non stress environments. .Plant height and flowering. Crop Science, 36, 1320-1327.
[27]    Wang S, Basten C J, Zeng Z B. 2005. Windows QTL Cartographer2.5. Department of Statistics, North Carolina StateUniversity, Raleigh. [ ]. http://www.statgen.ncsu.edu/qtl/crt/WQTL.htmWang Z L, Li X Z, Guo Q F, ShenY H, Gao Y. 1998a. Geneticsand breeding for drought tolerance in maize. Maize Science,3, 9-13. (in Chinese)
[28]    Wang Z L, Li X Z, Tian M. 1995. An introduction to maizevariety Luyu 14. Crops, 5, 39-40. (in Chinese)
[29]    Wang Z L, Zhang H Y, Yan X X, Ji X L, Li X Z. 1998b. Anatomicalstudies on the drought resistant varieties in maize. ActaBotanica Boreali-Occidentalia Sinica, 18, 581-583. (inChinese)
[30]    Wang Z L, Zhang X L, Wang S Y, Zhang T Z, Guo Q F. 1992.Preliminary report on drought tolerance of several maizehybrids and self-bred lines of their parents. Journal ofShandong Agricultural University, 23, 301-304. (in Chinese)
[31]    Xi Z Y, Wu K N, Wang T C, Wang C Y. 2000. Analysis ofutilizing value of physiological and biochemical indexes ofmaize drought resistance identification. Journal of HenanAgricultural University, 34, 7-12. (in Chinese)
[32]    Xu Z Z, Yu Z W, Wang D. 2006. Nitrogen translocation in wheatplants under soil water deficit. Plant and Soil, 280, 291-303.
[33]    Yano M, Sasaki T. 1997. Genetic and molecular dissection ofquantitative traits in rice. Plant Molecular Biology, 35, 145-153.
[34]    Yan J B, Tang H, Huang Y Q, Zheng Y L, Li J S. 2006. Quantitativetrait loci mapping and epistatic analysis for grain yield andyield components using molecular markers with an elite maizehybrid. Euphytica, 149, 121-131.
[35]    Zeng Z B. 1994. Precision mapping of quantitative trait loci.Genetics, 136, 1457-1468.
[36]    Zhang J M, Liu C, Shi Y S, SongY C, Bai B Z, Li Y, Wang T Y.2004. QTL analysis of parameters related to flowering inmaize under drought stress and normal irrigation condition.Journal of Plant Genetic Resources, 5, 161-165. (in Chinese)
[37]   Zhang Z M, Zhao M J, Rong T Z, Pan G T. 2007. SSR linkagemap construction and QTL identification for plant heightand ear height in maize. Acta Botanica Sinica, 33, 341-344.