Two-dimensional analysis provides molecular insight into flower scent of Lilium 'Siberia'.
Two-dimensional analysis provides molecular insight into flower scent of Lilium 'Siberia'.
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二维分析提供了对“西伯利亚”百合花香的分子洞察
DOI：
10.1038/s41598-018-23588-9
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发表时间：
2018-03-29
影响因子：
4.6
通讯作者：
Zhang Z
中科院分区：
文献类型：
--
作者：
Shi S;Duan G;Li D;Wu J;Liu X;Hong B;Yi M;Zhang Z
百合是一种受欢迎的花在世界各地，不仅因为它优雅的外观，而且由于其吸引人的香味。百合花香味中挥发性物质的生物合成调控机制目前还知之甚少。在这里，我们进行了一个方法相结合的二维分析和加权基因共表达网络分析（WGCNA），以探索候选基因调控花香的生产。该方法利用GC-MS和RNA-seq技术，分别研究了4个花发育时期和4个昼夜节律时，花挥发性物质释放量的变化以及相应的基因表达谱。通过重叠差异表达基因（DEG），响应花发育和昼夜节律的花香变化，3，426 DEG最初被确定为花香产生的候选者，其中1，270被预测为转录因子（TF）。WGCNA进一步将DEG与单花挥发物进行了相关分析。最后，37，41和90个基因被确定为候选TF可能调控萜类化合物，苯丙素类化合物和脂肪酸衍生物的生产。此外，WGCNA还揭示了与生长素、赤霉素和ABC转运蛋白相关的几个基因与花香味的产生有关。因此，这一策略提供了一个重要的基础，为未来的研究分子机制参与花香的生产。
Lily is a popular flower around the world not only because of its elegant appearance, but also due to its appealing scent. Little is known about the regulation of the volatile compound biosynthesis in lily flower scent. Here, we conducted an approach combining two-dimensional analysis and weighted gene co-expression network analysis (WGCNA) to explore candidate genes regulating flower scent production. In the approach, changes of flower volatile emissions and corresponding gene expression profiles at four flower developmental stages and four circadian times were both captured by GC-MS and RNA-seq methods. By overlapping differentially-expressed genes (DEGs) that responded to flower scent changes in flower development and circadian rhythm, 3,426 DEGs were initially identified to be candidates for flower scent production, of which 1,270 were predicted as transcriptional factors (TFs). The DEGs were further correlated to individual flower volatiles by WGCNA. Finally, 37, 41 and 90 genes were identified as candidate TFs likely regulating terpenoids, phenylpropanoids and fatty acid derivatives productions, respectively. Moreover, by WGCNA several genes related to auxin, gibberellins and ABC transporter were revealed to be responsible for flower scent production. Thus, this strategy provides an important foundation for future studies on the molecular mechanisms involved in floral scent production.
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影响因子：
6.9
作者：
Colquhoun TA;Kim JY;Wedde AE;Levin LA;Schmitt KC;Schuurink RC;Clark DG
通讯作者：
Clark DG
影响因子：
7.4
作者：
D'Auria, JC;Chen, F;Pichersky, E
通讯作者：
Pichersky, E
影响因子：
3.8
作者：
Colquhoun, Thomas A.;Verdonk, Julian C.;Clark, David G.
通讯作者：
Clark, David G.
影响因子：
14.9
作者：
Finn RD;Clements J;Eddy SR
通讯作者：
Eddy SR
影响因子：
7.4
作者：
Colquhoun, Thomas A.;Schwieterman, Michael L.;Clark, David G.
通讯作者：
Clark, David G.