Indexing the Pseudomonas specialized metabolome enabled the discovery of poaeamide B and the bananamides.
Indexing the Pseudomonas specialized metabolome enabled the discovery of poaeamide B and the bananamides.
复制标题
对假单胞菌特异代谢组进行索引使得聚酰胺 B 和香蕉酰胺的发现成为可能。
DOI:
10.1038/nmicrobiol.2016.197
复制
发表时间:
2016-10-31
影响因子:
28.3
通讯作者:
Dorrestein PC
中科院分区:
文献类型:
--
作者:
Nguyen DD;Melnik AV;Koyama N;Lu X;Schorn M;Fang J;Aguinaldo K;Lincecum TL Jr;Ghequire MG;Carrion VJ;Cheng TL;Duggan BM;Malone JG;Mauchline TH;Sanchez LM;Kilpatrick AM;Raaijmakers JM;De Mot R;Moore BS;Medema MH;Dorrestein PC
Pseudomonads are cosmopolitan microbes able to produce a wide array of specialized metabolites. These molecules allow Pseudomonas to scavenge nutrients, sense population density, and enhance or inhibit growth of competing microbes. However, these valuable metabolites are typically characterized one-molecule-one-microbe at a time instead of inventoried in large numbers. To index and map the diversity of molecules detected from these organisms, 260 strains of ecologically diverse origins were subjected to mass spectrometry-based molecular networking. Molecular networking not only enables dereplication of molecules, but also sheds light on their structural relationships. Moreover, it accelerates discovery of new molecules. Herein, through indexing the Pseudomonas specialized metabolome, we report the molecular networking-based discovery of four molecules and their evolutionary relationships: a poaeamide analog, and a molecular sub-family of cyclic lipopeptides, the bananamides 1, 2, and 3. Analysis of their biosynthetic gene cluster shows that it constitutes a distinct evolutionary branch of the Pseudomonas cyclic lipopeptides. Through analysis of an additional 370 extracts of wheat-associated Pseudomonas, we demonstrate how the detailed knowledge from our reference index can be efficiently propagated to annotate complex metabolomic data from other studies akin to the way newly generated genomic information can be compared to data from public databases.
登录
查看更多内容
影响因子:
3.7
作者:
Mascuch SJ;Moree WJ;Hsu CC;Turner GG;Cheng TL;Blehert DS;Kilpatrick AM;Frick WF;Meehan MJ;Dorrestein PC;Gerwick L
通讯作者:
Gerwick L
影响因子:
5.1
作者:
Kong, FM;Singh, MP;Carter, GT
通讯作者:
Carter, GT
影响因子:
2.6
作者:
KLOEPPER, JW;LEONG, J;SCHROTH, MN
通讯作者:
SCHROTH, MN
影响因子:
5
作者:
Abdel-Mawgoud, Ahmad Mohammad;Lepine, Francois;Deziel, Eric
通讯作者:
Deziel, Eric
影响因子:
1.7
作者:
Bankevich, Anton;Nurk, Sergey;Pevzner, Pavel A.
通讯作者:
Pevzner, Pavel A.