Transcriptome and metabolome analysis of Citrus fruit to elucidate puffing disorder
Transcriptome and metabolome analysis of Citrus fruit to elucidate puffing disorder
复制标题
DOI：
10.1016/j.plantsci.2013.12.003
复制
发表时间：
2014-03-01
期刊：
影响因子：
5.2
通讯作者：
Dandekara, Abhaya M.
中科院分区：
文献类型：
--
作者：
Ibanez, Ana M.;Martinelli, Federico;Dandekara, Abhaya M.
一个系统水平的分析揭示了分子机制的细节在柑桔果实膨化紊乱。利用代谢组学方法研究了正常水果和膨化障碍水果三个发育阶段的黄酮类、反照率和汁囊组织。微阵列被用来比较正常和膨化果实的每一个组织。从先前对拟南芥的研究中推断出的蛋白质相互作用网络鉴定出了转录本在表达上表现出显著变化的枢纽蛋白。基于转录组学和代谢组学的结果，初级代谢的主干糖酵解似乎受到这种疾病的严重影响。膨化水果中柠檬酸含量明显降低。基因集富集分析表明，膨化样品的糖酵解和碳水化合物代谢在反照率和黄酮方面都发生了显著改变。在膨化果实中，蔗糖输出、直链淀粉和淀粉-麦芽糖转化的转化酶和基因的表达量较高。这些变化可能会显著改变源-汇通信。与赤霉素和细胞分裂素信号相关的基因在症状性反照组织中下调，表明这些激素在疾病中起关键作用。研究结果可能应用于基于宿主反应基因和代谢物（如柠檬酸）的早期诊断方法的发展，以及基于激素的治疗方法。2013爱思唯尔爱尔兰有限公司版权所有。
A systems-level analysis reveals details of molecular mechanisms underlying puffing disorder in Citrus fruit. Flavedo, albedo and juice sac tissues of normal fruits and fruits displaying symptoms of puffing disorder were studied using metabolomics at three developmental stages. Microarrays were used to compare normal and puffed fruits for each of the three tissues. A protein-protein interaction network inferred from previous work on Arabidopsis identified hub proteins whose transcripts show significant changes in expression. Glycolysis, the backbone of primary metabolism, appeared to be severely affected by the disorder, based on both transcriptomic and metabolomic results. Significantly less citric acid was observed consistently in puffed fruits. Gene set enrichment analysis suggested that glycolysis and carbohydrate metabolism were significantly altered in puffed samples in both albedo and flavedo. Expression of invertases and genes for sucrose export, amylose-starch and starch-maltose conversion was higher in puffed fruits. These changes may significantly alter source-sink communications. Genes associated with gibberellin and cytokinin signaling were downregulated in symptomatic albedo tissues, suggesting that these hormones play key roles in the disorder. Findings may be applied toward the development of early diagnostic methods based on host response genes and metabolites (i.e. citric acid), and toward therapeutics based on hormones. (C) 2013 Elsevier Ireland Ltd. All rights reserved.