Search

Planktonic larvae (meroplankton) plays an important role in both benthic and pelagic ecosystems. The meroplankton study of South China Sea (SCS) and Philippine Sea (PS) may be particularly important, where they could serve as vectors for the influx of Pacific species into the East Indies Triangle (global marine biodiversity center). Here, we employed a metabarcoding method to investigate the geographical distribution pattern of meroplankton among SCS and PS. Different primers and reference databases were tested, for a better and more reliable interpretation of the current results and improvement of the method. In this study, metabarcoding was efficient for meroplankton study with high taxonomic resolution and good accuracy. COI against NCBI NT database showed the best taxonomy annotation efficiency, followed by 18S V1-V2, then 18S V4. The SILVA database showed similar performance to the NCBI NT database for the two 18S primers. The meroplankton diversity of SCS is higher than that of PS, and both communities are dominated by Polychaeta, Mollusca, Arthropoda and Echinodermata. Meroplankton geographical patterns are significantly different between the two basins, possibly due to the different distribution of their benthic adult, as well as the influence of five key environmental factors (IC, SCM, SST, SSS and DO). Our results suggest that the unidirectional Kuroshio Current intrusion may play an important role in shaping the biogeographical pattern in the west Pacific, by facilitating planktonic-larvae flowing into the northern SCS from the Pacific, on the contrary, limiting planktonic-larvae spreading out.

Complicated physical systems and strong seasonal monsoons are features of the north-east South China Sea (SCS). To understand how monsoon-driven changes affect the bacterial community structure and distribution in the surface water from shelf to slope in the northeast SCS (NESCS), we collected water samples during the intermonsoon (Spring, 2021) and Southwest monsoon (May, 2021) respectively. In our research, we found that α diversity of bacteria did not differ significantly during intermonsoon and monsoon periods, nor did it differ significantly between shelf and slope. However, bacterial community were well differentiated between groups (Shelf-I, Slope-I, Shelf-M, and Slope-M). In both seasons, there was a significant geographical distance decay relationship, but the monsoon did not change the biogeographic pattern of bacteria. Finally, all environmental factors in both seasons, except salinity, have a significant impact on bacteria, and the correlation is enhanced during the monsoon.

A case study of a 66-year-old man with esophageal squamous cell carcinoma underwent tislelizumab therapy and developed vitiligo-like depigmentation, an uncommon adverse effect. This case highlights the atypical presentation of vitiligo induced by tislelizumab in a patient without a history of autoimmune disorders and suggests its potential correlation with better outcomes in esophageal cancer.

We aimed to evaluate the effects of YAP1, β-catenin, and survivin on the onset and progression of colon cancer, and to explore their correlations. The expressions of YAP1, β-catenin, and survivin in 106 colon cancer tissues and 55 normal colon mucosa tissues were measured by immunohistochemical assay. The correlations between their expressions and clinical and pathological characteristics were analyzed. The expression rates of YAP1, β-catenin, and survivin in colon cancer tissues were significantly higher than those in normal colon mucosa tissues (P<0.001). The expressions of YAP1, β-catenin, and survivin in colon cancer were correlated with neither gender nor age (P>0.05), but with the degree of differentiation, depth of invasion, lymph node metastasis and Duke's stage (P<0.05). Pearson's correlation analysis showed that the expressions of YAP1, β-catenin, and survivin in colon cancer tissues were all positively correlated (P<0.05). The overexpression of YAP1, β-catenin, and survivin played an important role in the onset and progression of colon cancer, providing reference value for prognosis prediction., Competing Interests: None., (IJCEP Copyright © 2018.)