Microbiol Resour Announc
August 2025
Here, we report the genomic sequence of strain FHCF-3, isolated from the coelomic fluid of a sunflower sea star () showing signs of wasting disease. The draft genome is 4,368,354 bp with 3,903 coding sequences, including 3 with significant sequence similarity to aerolysin-like toxins.
View Article and Find Full Text PDFMore than 10 years following the onset of the sea star wasting disease (SSWD) epidemic, affecting over 20 asteroid species from Mexico to Alaska, the causative agent has been elusive. SSWD killed billions of the most susceptible species, sunflower sea stars (Pycnopodia helianthoides), initiating a trophic cascade involving unchecked urchin population growth and the widespread loss of kelp forests. Identifying the causative agent underpins the development of recovery strategies.
View Article and Find Full Text PDFThe objective of this experiment was to determine how source of supplementary selenium (Se) affects antioxidant status, inflammatory signaling, and gene expression of immune cells during an intramammary endotoxin challenge. Twenty mid-lactation multiparous Holstein cows (591 ± 46 kg BW) were blocked by days in milk (157 ± 17) and randomly assigned to 1 of 2 treatments: (1) 0.30 mg/kg on a dry matter basis (100% of NASEM requirements) of supplementary organic (ORG; selenized yeast) Se premix; or (2) 0.
View Article and Find Full Text PDFDisease outbreaks as a driver of wildlife mass mortality events have increased in magnitude and frequency since the 1940s. Remnant populations, composed of individuals that survived mass mortality events, could provide insight into disease dynamics and species recovery. The sea star wasting disease (SSWD) epidemic led to the rapid >90% decline of the sunflower star .
View Article and Find Full Text PDFBioanalytical cross-validation plays a crucial role in ensuring data exchangeability throughout the assay life cycle for data generated between methods or laboratories. The ICH M10 guideline addresses gaps from previous guidelines concerning the conduct and data analysis of cross-validation studies. While the guideline provides high-level direction, it allows flexibility for sponsors to implement their own statistical analysis and acceptance criteria.
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