High throughput sequencing of 18S rRNA and its gene to characterize a Prorocentrum shikokuense (Dinophyceae) bloom

Abstract

Comparing phytoplankton non-bloom and bloom communities using rRNA and its coding gene can help understand the shift of dominant species and its driving processes (e.g., intrinsic growth or grazing). Here we conducted high-throughput sequencing of 18S rRNA and its coding gene for studying non-bloom and bloom plankton communities in East China Sea. The non-bloom community was dominated by diatoms whereas during the bloom it was dominated by the dinoflagellate Prorocentrum shikokuense (formerly P. donghaiense). P. shikokuense rRNA abundance and rRNA:rRNA gene ratio both increased markedly in the bloom, indicating that the bloom arose from active growth. In contrast, some non-bloom species showed low DNA abundances during the bloom albeit high rRNA:rRNA gene ratios, suggesting that cell loss processes such as grazing might have prevented these species from blooming or that these species might be at an early stage of bloom development. Furthermore, Pearson's correlation analysis showed that dinoflagellate abundance was positively correlated with temperature and negatively related to dissolved inorganic phosphate (DIP) concentrations, suggesting warm and DIP-poor environment as a niche space for P. shikokuense. Our results demonstrate the usefulness of combined analysis of rRNA and its gene in characterizing phytoplankton bloom development to shed light on the complex phytoplankton dynamics and regulating mechanisms in the course of bloom development.