Feeding Selectivity of Ruditapes philippinarum on Phytoplankton

Abstract

A monthly survey of the feeding selectivity of Ruditapes philippinarum in the Yalu River Estuary in 2020–2021 was conducted using high-throughput sequencing identification and visual grading technology. The results showed that the most-dominant species in the water of the shellfish culture area and in the stomachs of R. philippinarum was Karlodinium veneficum in those years. The selectivity index (E) indicated that R. philippinarum avoided consuming Bacillariophyta, Chrysophyta and Cryptophyta throughout the year and preferentially consumed Dinophyta and Chlorophyta. In 2020, the annual average biomass of Dinophyta, Bacillariophyta, Chlorophyta, Dictyochophyta, Cryptophyta and Chrysophyta in the stomach contents of R. philippinarum was 54:14:16:1:10:4; it was 41:12:28:0:1:17 in 2021. The annual average biomass ratio of picophytoplankton, nanophytoplankton and microphytoplankton in the stomachs of R. philippinarum was 13:48:39 in 2020; it was 14:66:20 in 2021. R. philippinarum actively fed on nanophytoplankton and avoided picophytoplankton. Among the phytoplankton of different sizes and groups that R. philippinarum prefer to feed, chemical oxygen demand (COD) and organic phosphorus (DOP) have a significant negative effect on the nanophytoplankton community, pH has a positive effect on the Dictyochophyta community and COD and the inorganic nitrogen to phosphorus ratio (DI-N/P) have a significant positive effect on the Chlorophyta community.

An electrochemical sensor based on molecularly imprinted polydopamine coated on reduced graphene oxide for selective detection of ornidazole

“…In the case of electropolymerization of DA in the absence of OR , the voltammetric response was very similar to that obtained in the presence of OR (Figure 2B). This result reveals that the electropolymerization of DA was not affected by the template molecule which is electro‐inactive in the applied potential range [46].…”

Response of microalgae size-class structure to nutrients differences in northern Yellow Sea, China

“…Environmental factors affecting the size-class composition of microalgal phytoplankton are complex, and for near-shore waters, nutrient salt concentration and structure have the greatest impact (Liu et al, 2022b). Larger-sized phytoplankton dominate eutrophic waters, while smaller-sized phytoplankton are better adapted to nutrient-poor waters (Deng et al, 2008;Huang et al, 2006).…”

“…and Cyclotella sp. Many studies have indicated that predominant marine phytoplankton size is decreasing (Liu et al, 2022b;Edwards and Richardson, 2004;Lundholm et al, 2010).…”

“…Various analytical methods to study phytoplankton size-class structure have large errors or cannot obtain information regarding components of each size-fraction. High-throughput sequencing and molecular identi cation technologies can resolve these problems (Song et al, 2019;Song et al, 2020;Liu et al, 2022aLiu et al, , 2022b.…”