Bauvais Cléa, Bonneau Natacha, Blond Alain, Pérez Thierry, Bourguet-Kondracki Marie-Lise, Zirah Séverine
MCAM UMR 7245, Muséum National d'Histoire Naturelle, Centre National de la Recherche Scientifique (CNRS), Sorbonne Universités, Paris 75005, France.
Université Pierre et Marie Curie, Sorbonne Universités, Paris 75005, France.
Metabolites. 2017 Jun 13;7(2):27. doi: 10.3390/metabo7020027.
The Mediterranean marine sponge has been reported as a rich source of secondary metabolites and also as a bioindicator of water quality given its capacity to concentrate trace metals. In this study, we evaluated the chemical diversity within 30 samples collected over three years at two sites differentially impacted by anthropogenic pollutants located near Marseille (South of France). Untargeted liquid chromatography-mass spectrometry (LC-MS) metabolomic profiling (C18 LC, ESI-Q-TOF MS) combined with XCMS Online data processing and multivariate statistical analysis revealed 297 peaks assigned to at least 86 compounds. The spatio-temporal metabolite variability was mainly attributed to variations in relative content of furanoterpene derivatives. This family was further characterized through LC-MS/MS analyses in positive and negative ion modes combined with molecular networking, together with a comprehensive NMR study of isolated representatives such as demethylfurospongin-4 and furospongin-1. The MS/MS and NMR spectroscopic data led to the identification of a new furanosesterterpene, furofficin (), as well as two derivatives with a glycinyl lactam moiety, spongialactam A () and B (). This study illustrates the potential of untargeted LC-MS metabolomics and molecular networking to discover new natural compounds even in an extensively studied organism such as . It also highlights the effect of anthropogenic pollution on the chemical profiles within the sponge.
地中海海洋海绵被报道为次生代谢产物的丰富来源,并且鉴于其富集痕量金属的能力,也被用作水质的生物指标。在本研究中,我们评估了在三年时间里于法国南部马赛附近受人为污染物不同程度影响的两个地点采集的30个样本中的化学多样性。非靶向液相色谱 - 质谱联用(LC - MS)代谢组学分析(C18液相色谱,电喷雾电离 - 四极杆 - 飞行时间质谱)结合XCMS在线数据处理和多变量统计分析,揭示了297个峰,这些峰对应至少86种化合物。时空代谢物变异性主要归因于呋喃萜衍生物相对含量的变化。通过在正离子和负离子模式下结合分子网络的LC - MS/MS分析,以及对分离出的代表性化合物如去甲基呋喃海绵素 - 4和呋喃海绵素 - 1进行全面的核磁共振研究,对该家族进行了进一步表征。MS/MS和核磁共振光谱数据导致鉴定出一种新的呋喃甾萜类化合物,呋喃菌素(),以及两种带有甘氨酰内酰胺部分的衍生物,海绵内酰胺A()和B()。这项研究说明了非靶向LC - MS代谢组学和分子网络在发现新天然化合物方面的潜力,即使是在像这样已被广泛研究的生物体中。它还突出了人为污染对海绵体内化学图谱的影响。