Genomics-based approaches to improve drought tolerance of crops

被引:336
作者
Tuberosa, Roberto [1 ]
Salvi, Silvio [1 ]
机构
[1] Univ Bologna, Dept Agroenvironm Sci & Technol, I-40127 Bologna, Italy
关键词
D O I
10.1016/j.tplants.2006.06.003
中图分类号
Q94 [植物学];
学科分类号
071001 ;
摘要
The genetic bases of the molecular, cellular and developmental responses to drought involve many gene functions regulated by water availability. Genomics-based approaches provide access to agronomically desirable alleles present at quantitative trait loci (QTLs) that affect such responses, thus enabling us to improve the drought tolerance and yield of crops under water-limited conditions more effectively. Marker-assisted selection is already helping breeders improve drought-related traits. Analysis of sequence data and gene products should facilitate the identification and cloning of genes at target QTLs. Based on such premises, we envision a quick broadening of our understanding of the genetic and functional basis of drought tolerance. Novel opportunities will be generated for tailoring new genotypes 'by design'. Harnessing the full potential of genomics-assisted breeding will require a multidisciplinary approach and an integrated knowledge of the molecular and physiological processes influencing tolerance to drought.
引用
收藏
页码:405 / 412
页数:8
相关论文
共 84 条
[51]   A high-density genetic map of hexaploid wheat (Triticum aestivum L.) from the cross Chinese Spring X SQ1 and its use to compare QTLs for grain yield across a range of environments [J].
Quarrie, SA ;
Steed, A ;
Calestani, C ;
Semikhodskii, A ;
Lebreton, C ;
Chinoy, C ;
Steele, N ;
Pljevljakusic, D ;
Waterman, E ;
Weyen, J ;
Schondelmaier, J ;
Habash, DZ ;
Farmer, P ;
Saker, L ;
Clarkson, DT ;
Abugalieva, A ;
Yessimbekova, M ;
Turuspekov, Y ;
Abugalieva, S ;
Tuberosa, R ;
Sanguineti, MC ;
Hollington, PA ;
Aragués, R ;
Royo, A ;
Dodig, D .
THEORETICAL AND APPLIED GENETICS, 2005, 110 (05) :865-880
[52]   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].
Reymond, M ;
Muller, B ;
Leonardi, A ;
Charcosset, A ;
Tardieu, F .
PLANT PHYSIOLOGY, 2003, 131 (02) :664-675
[53]  
Ribaut J.-M., 2002, P85, DOI 10.1079/9780851996011.0085
[54]  
Ribaut J.M., 2004, PHYSL BIOTECHNOLOGY, P103
[55]   Deciphering genetic variations of proteome responses to water deficit in maize leaves [J].
Riccardi, F ;
Gazeau, P ;
Jacquemot, MP ;
Vincent, D ;
Zivy, M .
PLANT PHYSIOLOGY AND BIOCHEMISTRY, 2004, 42 (12) :1003-1011
[56]   Mapping osmotic adjustment in an advanced back-cross inbred population of rice [J].
Robin, S ;
Pathan, MS ;
Courtois, B ;
Lafitte, R ;
Carandang, S ;
Lanceras, S ;
Amante, M ;
Nguyen, HT ;
Li, Z .
THEORETICAL AND APPLIED GENETICS, 2003, 107 (07) :1288-1296
[57]   A proteomic approach to analyzing drought- and salt-responsiveness in rice [J].
Salekdeh, GH ;
Siopongco, J ;
Wade, LJ ;
Ghareyazie, B ;
Bennett, J .
FIELD CROPS RESEARCH, 2002, 76 (2-3) :199-219
[58]   To clone or not to clone plant QTLs: present and future challenges [J].
Salvi, S ;
Tuberosa, R .
TRENDS IN PLANT SCIENCE, 2005, 10 (06) :297-304
[59]   Genetic dissection of cotton physiological responses to arid conditions and their inter-relationships with productivity [J].
Saranga, Y ;
Jiang, CX ;
Wright, RJ ;
Yakir, D ;
Paterson, AH .
PLANT CELL AND ENVIRONMENT, 2004, 27 (03) :263-277
[60]   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].
Sawkins, MC ;
Farmer, AD ;
Hoisington, D ;
Sullivan, J ;
Tolopko, A ;
Jiang, Z ;
Ribaut, JM .
PLANT MOLECULAR BIOLOGY, 2004, 56 (03) :465-480