Sorbonne Université, CNRS, Laboratoire de Biodiversité et Biotechnologie Microbiennes, LBBM, Observatoire Océanologique, 66650 Banyuls-sur-Mer, France.
Sorbonne Université, CNRS, Biologie Intégrative des Organismes Marins, BIOM, Observatoire Océanologique, 66650 Banyuls-sur-Mer, France.
Mar Drugs. 2020 Jan 25;18(2):78. doi: 10.3390/md18020078.
The democratization of sequencing technologies fostered a leap in our knowledge of the diversity of marine phytoplanktonic microalgae, revealing many previously unknown species and lineages. The evolutionary history of the diversification of microalgae can be inferred from the analysis of their genome sequences. However, the link between the DNA sequence and the associated phenotype is notoriously difficult to assess, all the more so for marine phytoplanktonic microalgae for which the lab culture and, thus, biological experimentation is very tedious. Here, we explore the potential of a high-throughput untargeted metabolomic approach to explore the phenotypic-genotypic gap in 12 marine microalgae encompassing 1.2 billion years of evolution. We identified species- and lineage-specific metabolites. We also provide evidence of a very good correlation between the molecular divergence, inferred from the DNA sequences, and the metabolomic divergence, inferred from the complete metabolomic profiles. These results provide novel insights into the potential of chemotaxonomy in marine phytoplankton and support the hypothesis of a metabolomic clock, suggesting that DNA and metabolomic profiles co-evolve.
测序技术的民主化促进了我们对海洋浮游微藻多样性的认识的飞跃,揭示了许多以前未知的物种和谱系。微藻多样化的进化历史可以从对其基因组序列的分析中推断出来。然而,DNA 序列与相关表型之间的联系是众所周知的难以评估,对于海洋浮游微藻来说更是如此,因为对其进行实验室培养,从而进行生物实验是非常繁琐的。在这里,我们探索了一种高通量的非靶向代谢组学方法的潜力,以探索涵盖 12 种海洋微藻的 12 亿年进化的表型-基因型差距。我们确定了物种和谱系特异性代谢物。我们还提供了证据表明,从 DNA 序列推断出的分子分化与从完整代谢组图谱推断出的代谢分化之间存在非常好的相关性。这些结果为海洋浮游植物的化学生态学分型提供了新的见解,并支持了代谢钟假说,表明 DNA 和代谢组学图谱共同进化。