A novel varicosa-like virus was identified in a tall morning glory (Ipomoea purpurea) plant by high-throughput sequencing and tentatively named "morning glory varicosavirus" (MGVV). The complete genome of MGVV contains two segments of negative-sense single-stranded RNA of 6409 (RNA1) and 5288 (RNA2) nucleotides. RNA1 encodes a 224.3-kDa large protein (224K), and RNA2 encodes four putative proteins of 48.6 kDa (49K), 46.4 kDa (46K), 35.7 kDa (36K), and 36.8 kDa (37K), respectively. The 224K and 49K proteins show amino acid sequence similarity to the large protein (39.4%) and the 49K protein (22.6%), respectively, of red clover-associated varicosavirus, and the 36K protein shares 19.6% amino acid sequence similarity with protein 3 of lettuce big-vein associated virus. The 46K and 37K proteins share no significant sequence similarity to known functional viral sequences. Phylogenetic analysis based on the large protein of MGVV and other rhabdoviruses showed that MGVV clustered with the varicosaviruses. These analyses indicate that MGVV is a novel member of the genus Varicosavirus in the family Rhabdoviridae.
Throughout the COVID-19 pandemic, the emergence of new viral variants has challenged public health efforts, often evading antibody responses generated by infections and vaccinations. This immune escape has led to waves of breakthrough infections, raising questions about the efficacy and durability of immune protection. Here we focus on the impact of SARS-CoV-2 Delta and Omicron spike mutations on ACE-2 receptor binding, protein stability, and immune response evasion.
Ice-nucleating proteins (INPs) from bacteria like are among the most effective ice nucleators known. However, large INP aggregates with maximum ice nucleation activity (at approximately -2 °C) typically account for less than 1% of the overall ice nucleation activity in bacterial samples. This study demonstrates that polyols significantly enhance the assembly of INPs into large aggregates, dramatically improving bacterial ice nucleation efficiency.
Polyethylene Terephthalate (PET) is a petroleum-based plastic polymer that, by design, can last decades, if not hundreds of years, when released into the environment through plastic waste leakage. In the pursuit of sustainable solutions to plastic waste recycling and repurposing, the enzymatic depolymerization of PET has emerged as a promising green alternative. However, the metabolic potential of the resulting PET breakdown molecules, such as the two-carbon (C2) molecule ethylene glycol (EG), remains largely untapped.
Tumor necrosis factor receptor superfamily member 12A (TNFRSF12A) has been reported to be upregulated in thyroid cancer (THCA). However, the role and mechanism of TNFRSF12A in THCA remain largely unknown. TNFRSF12A expression in THCA samples was analyzed using bioinformatics analysis.
Alzheimer's disease (AD) significantly impacts the well-being of older people around the world. However, the accurate detection of glycosylated amyloid-beta (Aβ) proteins, which serve as important biomarkers for AD, remains challenging due to their extremely low levels. To address these issues, we proposed a method for fabricating a flexible and stable sensor platform based on an innovative boronic acid-based covalent organic framework COF-B(OH).
