Maize specialized metabolome networks reveal organ-preferential mixed glycosides.
Maize specialized metabolome networks reveal organ-preferential mixed glycosides.
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DOI：
10.1016/j.csbj.2021.01.004
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发表时间：
2021
影响因子：
6
通讯作者：
Morreel K
中科院分区：
文献类型：
--
作者：
Desmet S;Saeys Y;Verstaen K;Dauwe R;Kim H;Niculaes C;Fukushima A;Goeminne G;Vanholme R;Ralph J;Boerjan W;Morreel K
尽管玉米具有重要的科学和经济价值，但人们对其特殊代谢知之甚少。在此，用不同的反相液相色谱质谱方法对玉米的五个器官进行了分析。由此产生的光谱元数据与候选底物-产物对(CSPP)网络相结合，使得5420个轮廓化合物中的427个化合物的结构特征得以确定，其中包括苯丙烷类化合物、黄酮类化合物、苯并恶嗪类化合物和生长素相关化合物等。在427种化合物中，只有75种已经在玉米中得到了描述。对CSPP网络的分析表明，苯丙烷类化合物存在于所有器官中，而其他代谢类别则相当丰富。频繁发生的CSPP质量差异通常与糖基和酰基转移酶反应相对应。糖基化和酰化的相互作用产生了各种各样的混合糖苷，具有对应于不同生化类别的亚结构。例如，在流苏中，许多苯丙素和含黄酮苷也含有生长素衍生的部分。表征的化合物和质量差异是代谢途径发现和系统生物学研究的重要一步。5,420个化合物的波谱元数据是公开可用的(dynLib波谱数据库，https://bioit3.irc.ugent.be/dynlib/).
Despite the scientific and economic importance of maize, little is known about its specialized metabolism. Here, five maize organs were profiled using different reversed-phase liquid chromatography-mass spectrometry methods. The resulting spectral metadata, combined with candidate substrate-product pair (CSPP) networks, allowed the structural characterization of 427 of the 5,420 profiled compounds, including phenylpropanoids, flavonoids, benzoxazinoids, and auxin-related compounds, among others. Only 75 of the 427 compounds were already described in maize. Analysis of the CSPP networks showed that phenylpropanoids are present in all organs, whereas other metabolic classes are rather organ-enriched. Frequently occurring CSPP mass differences often corresponded with glycosyl- and acyltransferase reactions. The interplay of glycosylations and acylations yields a wide variety of mixed glycosides, bearing substructures corresponding to the different biochemical classes. For example, in the tassel, many phenylpropanoid and flavonoid-bearing glycosides also contain auxin-derived moieties. The characterized compounds and mass differences are an important step forward in metabolic pathway discovery and systems biology research. The spectral metadata of the 5,420 compounds is publicly available (DynLib spectral database, https://bioit3.irc.ugent.be/dynlib/).
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影响因子：
14.9
作者：
Kim S;Thiessen PA;Bolton EE;Chen J;Fu G;Gindulyte A;Han L;He J;He S;Shoemaker BA;Wang J;Yu B;Zhang J;Bryant SH
通讯作者：
Bryant SH
影响因子：
7.4
作者：
Cook, Sam D.;Nichols, David S.;Ross, John J.
通讯作者：
Ross, John J.
影响因子：
3.8
作者：
Kelland, Malcolm A.;Mady, Mohamed F.;Lima-Eriksen, Rikke
通讯作者：
Lima-Eriksen, Rikke
影响因子：
3.6
作者：
Breitling, Rainer;Ritchie, Shawn;Goodenowe, Dayan;Stewart, Mhairi L.;Barrett, Michael P.
通讯作者：
Barrett, Michael P.
DOI：
10.1073/pnas.1509788112
发表时间：
2015-10-13
影响因子：
11.1
作者：
Duehrkop, Kai;Shen, Huibin;Boecker, Sebastian
通讯作者：
Boecker, Sebastian