基于基因组学的作物抗旱改良

摘要/Abstract

摘要： 随着基因组学的发展，利用大量的序列信息鉴定和克隆抗旱相关基因以改良作物的生产性能具有重要意义。作物抗旱性属数量遗传，其数量性状位点的鉴定是分子标记辅助选择改良作物抗旱性的基础。笔者就作物抗旱基因鉴定及相关功能基因组学的最新进展作系统的介绍，并探讨了今后作物抗旱性研究发展方向

Abstract: With the development of genomics, identification and cloning of genes related to drought tolerance using large-scale sequencing information for the improvement of crop yield is of great importance. Tolerance of crops to drought are quantitatively inherited, the discovery of quantitative trait locus (QTL) plays a central role in their improvement through molecular marker-assisted selection. This paper comprehensively describes the recent progress in the identification of drought-related genes and their related functional genomics. The trends in the research of drought tolerance of crops are discussed in this review.

中图分类号:

Q812

张向前,江院,卢小良. 基于基因组学的作物抗旱改良[J]. 中国农学通报, 2007, 23(9): 0-0.

Zhang Xiangqian, Jiang Yuan, Lu Xiaoliang. Genomics-based Approaches to Improve Drought Tolerance of Crops[J]. Chinese Agricultural Science Bulletin, 2007, 23(9): 0-0.

参考文献

[1] Mittler R. Abiotic stress, the field environment and stress combination[J].Trends Plant Sci,2005,11:15-19.
[2] Morgante M, Salamini F. From plant genomics to breeding practice[J].Curr Opin Biotechnol, 2003,14:214-219.
[3] 常红军,刘兰霞.植物抗旱分子机理研究进展[J].安徽农业科,2006,34(18):4509-4510.
[4] 申亚梅,童再康,蔡建国,等.植物抗旱机制的研究进展[J].安徽农业科,2006,34(20):5214-5218.
[5] 陈雅君,冯淑华,陈桂芬.植物抗旱性鉴定指标的研究现状与进展[J].中国林副特产,2005,6: 62-63.
[6] 张永恩,李潮海,王群.植物抗旱相关功能基因研究进展[J].中国农学通报,2004,20(6):85-89.
[7] Dos Santos CV and Rey P.Plant thioredoxins are key actors in the oxidative stress response[J].Trends in Plant Science,2006,11(7):329-334.
[8] Holmgren A. Thioredoxin and glutaredoxin systems[J].J Biol Chem,1989,264:3963-13966.
[9] Arnér ESJ and Holmgren A. Physiological functions of thioredoxin and thioredoxin reductase [J].Eur J Biochem,2000,267:6102-6109.
[10] Schenk H,Klein M,Erdbrugger W,et al.Distinct effects of thioredoxin and antioxidants on t he activation of t ranscription factors NF-kap-pa-Band AP-1[J].Proc Natl Acad Sci USA, 1994,91:1672-1676.
[11] Meyer Y, Reichheld JP, Vignols F. Thioredoxins in Arabidopsis and other plants[J].Photosynth Res,2005,86:419-433.
[12] 缪颖,伍炳华.植物抗逆性的获得与信息传导[J].植物生理学通讯,2001,37(1):71-76.
[13] Chandler PM, Robertson M.Gene experssion requlated by abscisic acid and its relation to stress tolerance[J].Annu Rev Plant Physiol Plant Mot Biol,1994,45:113-141.
[14] Giandat J, Parcy F, Bertauche N,et al.Current advances in abscisic acid action and signaling[J].Plant Mot Biol,1994,26:1557-1577.
[15] Skriver K, Mandy J. Gene expression in response to abscisic acid and osmetic stress[J]. Plant Cell,1990,2:1503-1512.
[16] 主编评述. 2006 年中国植物科学若干领域重要研究进展[J].植物学通报, 2007,24(3):253-271.
[17] Zhang AY,Jiang MY,Zhang JH,et al.Mitogen-activated protein kinase is involved in abscisic acidinduced antioxidant defense and acts downstream of reactive oxygen species production in leaves of maize plants[J].Plant Physiol,2006,41:475-487.
[18] Juenger TE,McKay JK,Hausmann N,et al.Identification and characterization of QTL underlying whole plant physiology in Arabidopsis thaliana:δ13C,stomatal conductance and transpiration efficiency[J].Plant Cell Environ,2005,28:697-708.
[19] Saranga Y,Jiang CX,Wright RJ,et al.Genetic dissection of cotton physiological responses to arid conditions and their inter-relationships with productivity[J].Plant Cell Environ,2004,27:263-277.
[20] Babu RC,Nguyen BD,Chamarerk V,et al.Genetic analysis of drought resistance in rice by molecular markers:association between secondary traits and field performance[J].Crop Sci, 2003,43(4):1457-1469.
[21] Robin S,Pathan MS,Courtois B,et al.Mapping osmotic adjustment in an advanced back-cross inbred population of rice[J].Theor Appl Genet,2003,107:1288-1296.
[22] Lanceras JC,Pantuwan G,Jongdee B,et al.Quantitative trait loci associated with drought tolerance at reproductive stage in rice[J].Plant Physiol,2004,135:384-399.
[23] Jiang GH,He YQ,Xu CG,et al.The genetic basis of stay-green in rice analyzed in a population of doubled haploid lines derived from an indica by japonica cross[J].Theor Appl Genet,2004,108(4):688-698.
[24] Lafitte HR,Price AH,Courtois B.Yield response to water deficit in an upland rice mapping population:associations among traits and genetic markers[J].Theor Appl Genet,2004,109: 1237-1246.
[25] Li ZC,Mu P,Li CP,et al.QTL mapping of root traits in a doubled haploid population from a. cross between upland and lowland japonica rice in three environments[J].Thoer Appl Genet, 2005,110:1244-1252.
[26] Liu HY,Zou GH,Liu GL,et al.Correlation analysis and QTL identification for canopy temperature,leaf water potential and spikelet fertility in rice under contrasting moisture regimes[J].Chin Sci Bull,2005,50:317-326.
[27] Yue B, Xue WY, Xiong L Z, et al. Genetic Basis of Drought Resistance at Reproductive Stage in Rice: Separation of Drought Tolerance From Drought Avoidance[J].Genetics,2006,172:1213-1228.
[28] Xu JL,Lafitte HR,Gao YM,et al.QTLs for drought escape and tolerance identified in a set of random introgression lines of rice[J].Theor Appl Genet,2005,111:1642-1650.
[29] Moreau L,Charcosset A,Gallais A.Use of trial clustering. to study QTL×environment effects for grain yield and related traits in maize[J].Theor Appl Genet,2004,110(1):92-105.
[30] Diab AA,Benscher D,Sorrells ME.Identification of drought-inducible genes and differentially expressed sequence tags in barley[J].Theor Appl Genet,2004,109:1417-1425.
[31] Quarrie SA,Steed A,Calestani C,et al.A high-density genetic map of hexaploid wheat (Triticum aestivum L.) from the cross Chinese Spring× SQ1 and its use to compare QTLs for grain yield across a range of environments[J].Theor Appl Genet,2005,110:865-880.
[32] Verma V,Foulkes MJ,Worland AJ,et al.Mapping quantitative trait loci for flag leaf senescence as a yield determinant in winter wheat under optimal and drought-stressed environments[J].Euphytica,2004,135:255-263.
[33] Eshed Y,Zamir D.An introgression line population of lycopersicon pennellii in the cultivated tomato enables the identification and fine mapping of yield-associated QTL[J].Genetics,1995,141:1147~1162.
[34] 曾瑞珍,施琼军,黄朝锋等.籼稻背景的单片段代换系群体的构建[J].作物学报,2006,32(1):88~95.
[35] Tanksley S and Nelson J.Advanced backcross QTL analysis: a method for the simultaneous discovery and transfer of valuable QTLs from unadapted germplasm into elite breeding lines[J].Theor Appl Genet,1996,92:191-203.
[36] Baum M,Grando S,Backes G,et al.QTLs for agronomic traits in the. Mediterranean environment identified in recombinant inbred lines of the cross ‘Arta’ x H. spontaneum 41-1[J].Theor Appl Genet,2003,107: 215-1225.
[37] Talamè V,Sanguineti MC,Chiapparino E,et al.Identification of Hordeum spontaneum QTL alleles improving field performance of barley grown under rain fed conditions[J].Ann Appl Biol,2004,144:309-319.
[38] Ribaut JM,B?nzinger M,Betran J,et al.Use of molecular markers in plant breeding:drought tolerance improvement in tropical maize[A].(Kang, MS, ed),In Quantitative Genetics,Genomics,and Plant Breeding[C].CABI Publishing,2002:85-99.
[39] Ribaut J M, Banziger M, Hoisington D. Genetic dissection of drought tolerance in maize:a case study[A].(Nguyen, HT and Blum A,eds),In Physiology and Biotechnology Integration for Plant Breeding[C].Marcel Dekker,2004:571-609.
[40] Bernier J,Kumar A,Ramaiah V,et al.A large-effect QTL for grain yield under reproductive-stage drought stress in upland rice[J].Crop Science,2007,47:505-516.
[41] Kamoshita A,Wade LJ,Ali ML,et al.Mapping QTLs for root morphology of a rice population adapted to rainfed lowland conditions[J].Theor Appl Genet,2002,104:880-893.
[42] Price AH,Cairns JE,Horton P,et al.Linking drought-resistance mechanisms to drought avoidance in upland rice using a QTL approach: progress and new opportunities to integrate stomatal and mesophyll responses[J].J Exp Bot,2002,53:989-1004.
[43] Steele KA,Price AH,Shashidhar HE,et al.Marker-assisted selection to introgress rice QTLs controlling root traits into an Indian upland rice variety[J].Theor App Genet,2006, 112:208-221.
[44] Varshney RK,Graner A,Sorrells ME.Genomics-assisted breeding for crop improvement[J].Trends Plant Sci,2005,10:621-630.
[45] Nguyen TT,Klueva N,Chamareck V,et al.Saturation mapping of QTL regions and identification of putative candidate genes for drought tolerance in rice[J].Mol Genet Genomics,2004,272:35–46.
[46] Bengough AG,Bransby MF,Hans J,et al.Root responses to soil physical conditions;growth dynamics from field to cell[J].J Exp Bot,2006,57:437-447.
[47] Zheng BS, Yang L, Zhang WP, et al. Mapping QTLs and candidate genes for rice root traits under different water-supply conditions and comparative analysis across three populations[J].Theor Appl Genet,2003,107:1505-1515.
[48] Ozturk ZN, Talame V, Deyholos M, et al. Monitoring large-scale changes in transcript abundance in drought- and salt-stressed barley[J].Plant Mol Biol,2002,48: 551-573.
[49] Sharp RE,Poroyko V,Hejlek LG,et al.Root growth maintenance during water deficits:physiology to functional genomics[J].J Exp Bot,2004,55:2343-2351.
[50] Yamaguchi-Shinozaki K,and Shinozaki K.Organization of cis-acting regulatory elements in osmotic- and cold-stress-responsive promoters[J].Trends Plant Sci,2005,10:88-94.
[51] Oono Y,Seki M,Nanjo T,et al.Monitoring expression profiles of Arabidopsis gene expression during rehydration process after dehydration using ca 7000 full-length cDNA microarray[J].Plant J,2003,34(6):868 -887.
[52] Kawaguchi R,Girke T,Bray EA,et al.Differential mRNA translation contributes to gene regulation under non-stress and dehydration stress conditions in Arabidopsis thaliana[J]. Plant J,2004,38:823-839.
[53] Hazen SP, Pathan MS, Sanchez A, et al. Expression profiling of rice segregating for drought tolerance QTLs using a rice genome array[J].Funct Integr Genomics,2005,5: 104-116.
[54] Markandeya G,Babu PR,Reddy Lachagari V B.Functional genomics of drought stress response in rice:transcriptmapping of annotated unigenes of an indica rice (Oryza sativa L. cv. Nagina 22) [J].Curr Sci,2005,89:496-514.
[55] Buchanan CD,Lim S, Salzman R A,et al. Sorghum bicolor’s transcriptome response to dehydration,high salinity and ABA[J].Plant Mol Biol,2005,58:699-720.
[56] Pratt LH,Liang C,Shah M,et al.Sorghum expressed sequence tags identify signature genes for drought, pathogenesis,and skotomorphogenesis from a milestone set of 16801 unique transcripts[J].Plant Physiology,2005,139:869-884.
[57] Hajheidari M, Noghabi MA, Askari H et al. Proteome analysis of sugar beet leaves under drought stress[J]. Proteomics, 2005, 5: 950-960.
[58] Yu LX ,Setter TL.Comparative transcriptional profiling of placenta and endosperm in developing maize kernels in response to water deficit. Plant Physiol,2003,131:568-582.
[59] Riccardi F,Gazeau P,Jacquemot MP,et al. Deciphering genetic variations of proteome responses to water deficit in maize leaves[J].Plant Physiol Biochem,2004,42:1003-1011.
[60] Salekdeh G H,Siopongco J,Wade L J,et al.A proteomic approach to analyzing drought- and salt-responsiveness in rice[J].Field Crops Research,2002,76:199-219.
[61] Ali GM,Komatsu S.Proteomic analysis of rice leaf sheath during drought stress[J].J Proteome Res,2006,5:396-403.
[62] Jeanneau M,Gerentes D,Foueillassar X,et al.Improvement of drought tolerance in maize: Towards the functional validation of the ZM-ASR1 gene and increase of water use efficiency by over-ex-pressing C4-PEPC[J].Biochimie,2002,84:1127-1135.
[63] Grotewold E. Plant metabolic diversity:a regulatory perspective[J].Trends Plant Sci,2005,10:57-62.
[64] Boyer JS, Westgate ME.Grain yields with limited water[J].J Exp Bot,2004,55:2385-2394.
[65] Boyle MG,Boyer JS,Morgan PW.Stem infusion of liquid culture medium prevents reproductive failure of maize at low water potential[J].Crop Sci,1991,31:1246-1252.
[66] McLaughlin JE ,Boyer JS.Sugar-responsive gene expression,invertase activity,and senescence aborting maize ovaries at low water potentials[J].Ann Bot (Lond),2004,94:675-689.
[67] Pelleschi S,Kim J Y,Pointe C,et al.Ivr2, a candidate gene for a QTL of vacuolar invertase activity in maize leaves.Gene-specific expression under water stress[J].Plant Molecular Biology,1999,39(2):373-380.
[68] Pelleschi S,Leonardi A,Rocher JP,et al.Analysis of the relationships between growth,photosynthesis and carbohydrate metabolism using quantitative trait loci (QTLs) in young maize plants subjected to water deprivation[J].Mol Breed,2006,17:21-39.
[69] Comai L, Young K, Till BJ, et al. Efficient discovery of DNA polymorphisms in natural populations by Ecotilling[J].Plant J,2004,37: 778-786.
[70] Tuberosa R,Salvi S,Sanguineti MC,et al.Mapping QTLs regulating morphophysiological traits and yield:case studies, shortcomings and perspectives in drought-stressed maize[J]. Ann Bot (Lond),2002, 89:941-963.
[71] Blum A.Breeding for Stress Environments[M].CRC Press,1988.
[72] Bacon, M.A.Water Use Efficiency in Plant Biology[M].Blackwell,2004.
[73] Sawkins MC,Farmer AD,Hoisington D,et al.Comparative map and trait viewer (CMTV):an integrated bioinformatic tool to construct consensus maps and compare QTL and functional genomics data across genomes and experiments[J].Plant Mol Biol,2004,56:465-480.
[74] Li X H,Li X H,Hao Z F,et al.Consensus map of the QTL relevant to drought tolerance of maize under drought conditions[J].Sci Agric Sin,2005,38(5):882-890.
[75] Devos KM,Beales J,Nagamura Y,et al.Arabidopsis-rice: will colinearity allow gene prediction across the eudicot-monocot divide[J].Genome Research,1999,9:825-829.
[76] Buuren MLV,Salvi S,Morgnte M,et al.Comparative genomic mapping between a 754 kb region flanking DREb1A in Arabidopsis thaliana and maize[J].Plant Mol Biol,2002,48: 741-750.
[77] Xu Y,McCouch S R,Zhang Q.How can we use genomics to improve cereals with rice as a reference genome[J]?Plant Mol Biol,2005,59(1):7-26.
[78] Sorrells M E,La-Rots M,Bermudez-Kandianis C E,et al.Comparative DNA sequence analysis of wheat and rice genomes[J].Genome Res,2003,13(8):1818-1827.
[79] Masle J,Gilmore S R,Farquhar G D.The ERECTA gene regulates plant transpiration efficiency in Arabidopsis[J] Nature,2005,436:866-870.
[80] Peleman, JD and Van der Voort JR.Breeding by design[J].Trends Plant Sci,2003,8:330-334.
[81] Reymond M,Muller B,Leonardi A,et al.Combining quantitative trait loci analysis and an ecophysiological model to analyze the genetic variability of the responses of maize leaf growth to temperature and water deficit[J].Plant Physiol,2003,131:664-675.
[82] Yin X,Struik PC,Kropff MJ.Role of crop physiology in predicting gene-to-phenotype relationships[J].Trends in Plant Science,2004,9:426-432.
[83] Yin X,Struik PC,van Eeuwijk FA,Stam P,et al.QTL analysis and QTL-based prediction of flowering phenology in recombinant inbred lines of barley[J].J Exp Bot,2005,56:967-976.
[84] Salvi S and Tuberosa R. To clone or not to clone plant QTLs:present and future challenges[J].Trends Plant Sci,2005,10:297-304.