Magic™ Anti-NDV Monoclonal antibody, Clone N29723OX5

Recent epidemiological surveys have shown that class I Newcastle disease virus (NDV) is widely distributed in China. However, little is currently known about its transmission. Therefore, in this study, we compared the transmission of class I and class II NDV. Specific-pathogen-free chickens were divided into a class I NDV inoculation group and an aerosol-exposed infection group and kept in 2 separate isolators (A and B, respectively) that were connected with an airtight plastic pipe. After inoculation, air samples were collected regularly with an All-Glass Impinger-30 (Liaoyang, China), and the airborne virus contents were analyzed using the plaque count method. In addition, oral and cloacal swabs were collected regularly to detect virus shedding using quantitative reverse transcription PCR. Similar trials were conducted simultaneously with class II NDV in isolators C and D. We consistently detected class I NDV aerosols in both isolators A and B up to 40 D post-inoculation (dpi). The aerosol concentration reached a maximum of 13.81 x 10(3) plague-forming units per cubic meter of air at 18 dpi and was significantly higher than that of class II NDV at 21 and 24 dpi. We also detected class I virus shedding from 2 to 40 dpi in the inoculated chickens and from 7 to 40 D post-aerosol-exposed infection in the aerosol-exposed chickens. This phenomenon may explain why class I NDV has been the primary epidemic strain of NDV in recent years.

Tropical cyclones (TCs) are extreme weather events that frequently occur along the coast of northwestern Mexico, but an assessment of dry forest damage on this area after their impact had not been investigated yet. Thus, the effect of strong winds and high precipitation rates were analyzed for the first time on the dry forests of the southern tip of the Baja California peninsula. An analysis was performed on the development of the TC Odile (2014) with winds above 200 km/h and TC Lidia (2017) with high precipitation rates in excess of 400 mm/day. The study used remote sensing tools to calculate changes in land areas from the vegetation indices and the non-photosynthetic vegetation (NPV). The results showed a noticeable drop in the enhanced vegetation index (Delta EVI = 0.15) few days after Odile's landfall; after Lidia, the EVI values rose while the spatial distribution of changes on the normalized difference vegetation index (NDVI) and NPV showed the effect of large precipitation rates on vegetation damage. Intense winds from Odile triggered large changes in NDV-I with an increase of NPV. This study provides insight into the sensitivity of this ecosystem to strong winds and heavy rainfall on the magnitude of vegetation damage.