Recognition cascade and metabolite transfer in a marine bacteria-phytoplankton model system
Recognition cascade and metabolite transfer in a marine bacteria-phytoplankton model system
复制标题
海洋细菌-浮游植物模型系统中的识别级联和代谢物转移
DOI：
10.1111/1462-2920.13834
复制
发表时间：
2017-09-01
影响因子：
5.1
通讯作者：
Moran, Mary Ann
中科院分区：
文献类型：
--
作者：
Durham, Bryndan P.;Dearth, Stephen P.;Moran, Mary Ann
海洋表层细菌和浮游植物之间的营养联系是全球碳循环的关键一步，海洋初级生产的近一半在固定后数小时至数周内被异养浮游细菌转化。早期研究将这种联系概念化为从共享海水水库中被动添加和去除有机化合物。在这里，我们分析了两个成员的模型系统中的转录本和细胞内代谢产物的模式，发现异养细菌的存在下诱导了一个潜在的识别级联反应的海洋浮游植物物种，更好地理解维管植物的反应系统。细菌Ruegeria pomeroyi DSS-3在硅藻Thalassiosira pomeroyi CCMP 1335中触发了>80个基因的差异表达，这些基因与植物用于识别外部刺激的基因同源，包括参与富含亮氨酸的重复识别活性、第二信使产生和蛋白激酶级联的蛋白质puplex。共培养的硅藻还下调脂质合成基因，上调几丁质代谢基因。从细菌转运系统的差异表达，我们假设，9硅藻代谢产物支持大多数细菌的生长，其中磺酸盐，糖衍生物和有机氮化合物。在这个模型系统中观察到的类似识别反应和代谢联系可能会影响海洋浮游生物的碳转化。
The trophic linkage between marine bacteria and phytoplankton in the surface ocean is a key step in the global carbon cycle, with almost half of marine primary production transformed by heterotrophic bacterioplankton within hours to weeks of fixation. Early studies conceptualized this link as the passive addition and removal of organic compounds from a shared seawater reservoir. Here, we analysed transcript and intracellular metabolite patterns in a two-member model system and found that the presence of a heterotrophic bacterium induced a potential recognition cascade in a marine phytoplankton species that parallels better-understood vascular plant response systems. Bacterium Ruegeria pomeroyi DSS-3 triggered differential expression of >80 genes in diatom Thalassiosira pseudonana CCMP1335 that are homologs to those used by plants to recognize external stimuli, including proteins putatively involved in leucine-rich repeat recognition activity, second messenger production and protein kinase cascades. Co-cultured diatoms also downregulated lipid biosynthesis genes and upregulated chitin metabolism genes. From differential expression of bacterial transporter systems, we hypothesize that nine diatom metabolites supported the majority of bacterial growth, among them sulfonates, sugar derivatives and organic nitrogen compounds. Similar recognition responses and metabolic linkages as observed in this model system may influence carbon transformations by ocean plankton.