Complex pattern of genetic structuring in the Atlantic salmon (Salmo salar L.) of the River Foyle system in northwest Ireland: disentangling the evolutionary signal from population stochasticity

Little is known about the microevolutionary processes shaping within river population genetic structure of aquatic organisms characterized by high levels of homing and spawning site fidelity. Using a microsatellite panel, we observed complex and highly significant levels of intrariver population genetic substructure and Isolation-by-Distance, in the Atlantic salmon stock of a large river system. Two evolutionary models have been considered explaining mechanisms promoting genetic substructuring in Atlantic salmon, the member-vagrant and metapopulation models. We show that both models can be simultaneously used to explain patterns and levels of population structuring within the Foyle system. We show that anthropogenic factors have had a large influence on contemporary population structure observed. In an analytical development, we found that the frequently used estimator of genetic differentiation, F(ST), routinely underestimated genetic differentiation by a factor three to four compared to the equivalent statistic Jost's D(est) (Jost 2008). These statistics also showed a near-perfect correlation. Despite ongoing discussions regarding the usefulness of "adjusted"F(ST) statistics, we argue that these could be useful to identify and quantify qualitative differences between populations, which are important from management and conservation perspectives as an indicator of existence of biologically significant variation among tributary populations or a warning of critical environmental damage.     

IL‐33‐ST2 pathway regulates AECII transdifferentiation by targeting alveolar macrophage in a bronchopulmonary dysplasia mouse model

Evidence points to the indispensable function of alveolar macrophages (AMs) in normal lung development and tissue homeostasis. However, the importance of AMs in bronchopulmonary dysplasia (BPD) has not been elucidated. Here, we identified a significant role of abnormal AM proliferation and polarization in alveolar dysplasia during BPD, which is closely related to the activation of the IL‐33‐ST2 pathway. Compared with the control BPD group, AMs depletion partially abolished the epithelialmesenchymal transition process of AECII and alleviated pulmonary differentiation arrest. In addition, IL‐33 or ST2 knockdown has protective effects against lung injury after hyperoxia, which is associated with reduced AM polarization and proliferation. The protective effect disappeared following reconstitution of AMs in injured IL‐33 knockdown mice, and the differentiation of lung epithelium was blocked again. In conclusion, the IL‐33‐ST2 pathway regulates AECII transdifferentiation by targeting AMs proliferation and polarization in BPD, which shows a novel strategy for manipulating the IL‐33–ST2‐AMs axis for the diagnosis and intervention of BPD.     

Using the AMOVA framework to estimate a standardized genetic differentiation measure

Comparison of population structure between studies can be difficult, because the value of the often-used FST-statistic depends on the amount of genetic variation within populations. Recently, a standardized measure of genetic differentiation was developed based on GST, which addressed this problem, though no method was provided to estimate this standardized measure without bias. Here I present a method to estimate a standardized measure of population differentiation based on the analysis of molecular variance framework. One advantage of the method is that it can be readily expanded to include different hierarchical levels in the tested population structure.     

mmod: an R library for the calculation of population differentiation statistics

mmod is a library for the R programming language that allows the calculation of the population differentiation measures D_est, G″_ST and φ′_ST. R provides a powerful environment in which to conduct and record population genetic analyses but, at present, no R libraries provide functions for the calculation of these statistics from standard population genetic files. In addition to the calculation of differentiation measures, mmod can produce parametric bootstrap and jackknife samples of data sets for further analysis. By integrating with and complimenting the existing libraries adegenet and pegas , mmod extends the power of R as a population genetic platform.     

Expression of highly sulfated keratan sulfate synthesized in human glioblastoma cells

Keratan sulfate (KS) proteoglycan is expressed in the extracellular matrix or cell surface in numerous tissues, predominantly in those of the cornea, cartilage, and brain. However, its structure, function, and regulation remain poorly understood. Our investigation of KS expression in glioblastoma cell lines using Western-blot and flow cytometry with anti-KS antibody (5D4) revealed that LN229 glioblastoma cell highly expresses KS on a cell surface. Real-time PCR analysis showed that LN229 expresses a high level of keratan sulfate Gal-6-sulfotransferase. Results of this study also demonstrate that recombinant 5D4-reactive aggrecan is produced in LN229. Taken together, these results suggest that LN229 produces 5D4-reactive highly sulfated KS and is useful to investigate the KS structure and function in glioblastoma.     

Effect of Escherichia coli heat-stable enterotoxin (ST) on calcium uptake by rat intestinal Brush-Border Membrane Vesicles (BBMV)

Abstract A partially purified Escherichia coli heat-stable (ST) enterotoxin had been shown to increase the ⁴⁵Ca²⁺ uptake by rat intestinal brush-border membrane vesicles (BBMV). The effect of ST enterotoxin on calcium uptake by BBMV was significant compared with the control and was also dose-dependent. The stimulation of calcium uptake by ST enterotoxin was inhibited by chemical agents which block the calcium entry into the cell. These data indicate that the ST acts as calcium ionophore in this particular system.     

恒河猴外周血及肾组织SV40病毒基因分析

SV40即猿猴病毒40(simian virus 40),是DNA肿瘤病毒的原型代表,其基因结构为共价闭合环状双股DNA分子,标准参考株SV40-776含5243个核甘酸,不同分离株bp数略有差异.     

Detecting female precise natal philopatry in green turtles using assignment methods

It is well established that sea turtles return to natal rookeries to mate and lay their eggs, and that individual females are faithful to particular nesting sites within the rookery. Less certain is whether females are precisely returning to their natal beach. Attempts to demonstrate such precise natal philopatry with genetic data have had mixed success. Here we focused on the green turtles of three nesting sites in the Ascension Island rookery, separated by 5-15 km. Our approach differed from previous work in two key areas. First, we used male microsatellite data (five loci) reconstructed from samples collected from their offspring (N = 17) in addition to data for samples taken directly from females (N = 139). Second, we employed assignment methods in addition to the more traditional F-statistics. No significant genetic structure could be demonstrated with F(ST). However, when average assignment probabilities of females were examined, those for nesting populations in which they were sampled were indeed significantly higher than their probabilities for other populations (Mann-Whitney U-test: P < 0.001). Further evidence was provided by a significant result for the mAI(C) test (P < 0.001), supporting greater natal philopatry for females compared with males. The results suggest that female natal site fidelity was not sufficient for significant genetic differentiation among the nesting populations within the rookery, but detectable with assignment tests.