RESUMEN
Prevailing theories on the equatorial Atlantic Niño are based on the dynamical interaction between atmosphere and ocean. However, dynamical coupled ocean-atmosphere models poorly simulate and predict equatorial Atlantic climate variability. Here we use multi-model numerical experiments to show that thermodynamic feedbacks excited by stochastic atmospheric perturbations can generate Atlantic Niño s.d. of â¼0.28±0.07 K, explaining â¼68±23% of the observed interannual variability. Thus, in state-of-the-art coupled models, Atlantic Niño variability strongly depends on the thermodynamic component (R(2)=0.92). Coupled dynamics acts to improve the characteristic Niño-like spatial structure but not necessarily the variance. Perturbations of the equatorial Atlantic trade winds (â¼±1.53 m s(-1)) can drive changes in surface latent heat flux (â¼±14.35 W m(-2)) and thus in surface temperature consistent with a first-order autoregressive process. By challenging the dynamical paradigm of equatorial Atlantic variability, our findings suggest that the current theories on its modelling and predictability must be revised.
RESUMEN
Lymphocystis disease virus (LCDV) is responsible for a chronic self-limiting disease that affects more than 125 teleosts. Viral isolation of LCDV is difficult, time-consuming and often ineffective; the development of a rapid and specific tool to detect and quantify LCDV is desirable for both diagnosis and pathogenic studies. In this study, a quantitative real-time PCR (qPCR) assay was developed using a Sybr-Green-based assay targeting a highly conserved region of the MCP gene. Primers were designed on a multiple alignment that included all known LCDV genotypes. The viral DNA segment was cloned within a plasmid to generate a standard curve. The limit of detection was as low as 2.6DNA copies/µl of plasmid and the qPCR was able to detect viral DNA from cell culture lysates and tissues at levels ten-times lower than conventional PCR. Both gilthead seabream and olive flounder LCDV has been amplified, and an in silico assay showed that LCDV of all genotypes can be amplified. LCDV was detected in target and non-target tissues of both diseased and asymptomatic fish. The LCDV qPCR assay developed in this study is highly sensitive, specific, reproducible and versatile for the detection and quantitation of Lymphocystivirus, and may also be used for asymptomatic carrier detection or pathogenesis studies of different LCDV strains.