論文

国際誌
2021年

Maize specialized metabolome networks reveal organ-preferential mixed glycosides.

Computational and structural biotechnology journal
  • Sandrien Desmet
  • ,
  • Yvan Saeys
  • ,
  • Kevin Verstaen
  • ,
  • Rebecca Dauwe
  • ,
  • Hoon Kim
  • ,
  • Claudiu Niculaes
  • ,
  • Atsushi Fukushima
  • ,
  • Geert Goeminne
  • ,
  • Ruben Vanholme
  • ,
  • John Ralph
  • ,
  • Wout Boerjan
  • ,
  • Kris Morreel

19
開始ページ
1127
終了ページ
1144
記述言語
英語
掲載種別
研究論文(学術雑誌)
DOI
10.1016/j.csbj.2021.01.004

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/).

リンク情報
DOI
https://doi.org/10.1016/j.csbj.2021.01.004
PubMed
https://www.ncbi.nlm.nih.gov/pubmed/33680356
PubMed Central
https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7890092
ID情報
  • DOI : 10.1016/j.csbj.2021.01.004
  • PubMed ID : 33680356
  • PubMed Central 記事ID : PMC7890092

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