Putting primary metabolism into perspective to obtain better fruits

被引:68
作者
Beauvoit, Bertrand [1 ]
Belouah, Isma [1 ]
Bertin, Nadia [2 ]
Cakpo, Coffi Belmys [2 ]
Colombie, Sophie [1 ]
Dai, Zhanwu [3 ]
Gautier, Helene [2 ]
Genard, Michel [2 ]
Moing, Annick [1 ]
Roch, Lea [1 ]
Vercambre, Gilles [2 ]
Gibon, Yves [1 ]
机构
[1] Univ Bordeaux, INRA, UMR BFP 1332, F-33883 Villenave Dornon, France
[2] INRA, UR PSH 1115, F-84914 Avignon 9, France
[3] Univ Bordeaux, INRA, UMR EGFV 1287, Bordeaux Sci Agro, F-33883 Villenave Dornon, France
关键词
Fruits; metabolism; agricultural practice; post-genomics; kinetic modelling; stoichiometric modelling; process-based modelling; GENOME-WIDE ASSOCIATION; MODEL-ASSISTED ANALYSIS; PLANT-SYSTEMS BIOLOGY; FLUX BALANCE ANALYSIS; BLOSSOM-END ROT; TOMATO FRUIT; TRANSCRIPTION FACTOR; SUGAR METABOLISM; ACID ACCUMULATION; GENE-EXPRESSION;
D O I
10.1093/aob/mcy057
中图分类号
Q94 [植物学];
学科分类号
071001 ;
摘要
Background One of the key goals of fruit biology is to understand the factors that influence fruit growth and quality, ultimately with a view to manipulating them for improvement of fruit traits. Scope Primary metabolism, which is not only essential for growth but is also a major component of fruit quality, is an obvious target for improvement. However, metabolism is a moving target that undergoes marked changes throughout fruit growth and ripening. Conclusions Agricultural practice and breeding have successfully improved fruit metabolic traits, but both face the complexity of the interplay between development, metabolism and the environment. Thus, more fundamental knowledge is needed to identify further strategies for the manipulation of fruit metabolism. Nearly two decades of post-genomics approaches involving transcriptomics, proteomics and/or metabolomics have generated a lot of information about the behaviour of fruit metabolic networks. Today, the emergence of modelling tools is providing the opportunity to turn this information into a mechanistic understanding of fruits, and ultimately to design better fruits. Since high-quality data are a key requirement in modelling, a range of must-have parameters and variables is proposed.
引用
收藏
页码:1 / 21
页数:21
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