The sequences and phylogenetic analyses of the M-class genome segments of 12 avian reovirus strains are described. The S1133 M1 genome segment is 2283 base pairs long, encoding a protein muA consisted of 732 amino acids. Each M2 or M3 genome segment of 12 avian reovirus strains is 2158 or 1996 base pairs long, respectively, encoding a protein muB or muNS consisted of 676 and 635 amino acids, respectively. The S1133 genome segment has the 5' GCUUUU terminal motif, but each M2 and M3 genome segment displays the 5' GCUUUUU terminal motif which is common to other known avian reovirus genome segments. The UCAUC 3'-terminal sequences of the M-class genome segments are shared by both avian and mammalian reoviruses. Noncoding regions of both 5'- and 3'-termini of the S1133 M1 genome segment consist of 12 and 72 nucleotides, respectively, those of each M2 genome segment consist of 29 and 98 nucleotides, respectively, and those of each M3 genome segment are 24 and 64 nucleotides, respectively. Analysis of the average degree of the M-class gene and the deduced mu-class protein sequence identities indicated that the M2 genes and the muB proteins have the greatest level of sequence divergence. Computer searches revealed that the muA possesses a sequence motif (NH(2)-Leu-Ala-Leu-Asp-Pro-Pro-Phe-COOH) (residues 458-464) indicative of N-6 adenine-specific DNA methylase. Examination of the muB amino acid sequences indicated that the cleavage site of muB into muBN and muBC is between positions 42 and 43 near the N-terminus of the protein, and this site is conserved for each protein. During in vitro treatment of virions with trypsin to yield infectious subviral particles, both the N-terminal fragment delta and the C-terminal fragment phi were shown to be generated. The site of trypsin cleavage was identified in the deduced amino acid sequence of muB by determining the amino-terminal sequences of phi proteins: between arginine 582 and glycine 583. The predicted length of delta generated from muBC is very similar to that of delta generated from mammalian reovirus mu1C. Taken together, protein muB is structurally, and probably functionally, similar to its mammalian homolog, mu1. In addition, two regions near the C-terminal and with a propensity to form alpha-helical coiled-coil structures as previously indicated are observed for each protein muB. Phylogenetic analysis of the M-class genes revealed that the predicted phylograms delineated 3 M1, 5 M2, and 2 M3 lineages, no correlation with serotype or pathotype of the viruses. The results also showed that M2 lineages I-V consist of a mixture of viruses from the M1 and M3 genes of lineages I-III, reflecting frequent reassortment of these genes among virus strains.
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http://dx.doi.org/10.1016/j.jviromet.2005.10.031 | DOI Listing |
JCO Glob Oncol
January 2025
International Cancer Patient Coalition, Brussels, Belgium.
Despite the acknowledged merits of precision oncology (PO) and its increasing global implementation, its full potential for advancing care and prevention remains unrealized. The benefits are currently accessible to only limited patient segments because of multifaceted barriers. Successful implementation hinges on various factors-scientific complexities not limited to technical, clinical, regulatory, economic, administrative, and health care policy-related challenges.
View Article and Find Full Text PDFFront Genome Ed
January 2025
Key Laboratory of Herbage and Endemic Crop Biology, Ministry of Education, Inner Mongolia University, Hohhot, Inner Mongolia, China.
Virus-induced genome editing (VIGE) technologies have been developed to address the limitations to plant genome editing, which heavily relies on genetic transformation and regeneration. However, the application of VIGE in plants is hampered by the challenge posed by the size of the commonly used gene editing nucleases, Cas9 and Cas12a. To overcome this challenge, we employed intein-mediated protein splicing to divide the transcript into two segments (Split-v1) and three segments (Split-v3).
View Article and Find Full Text PDFData Brief
February 2025
Cell Death, Lysosomes and Artificial Intelligence Group, Department of Experimental Medical Science, Faculty of Medicine, Lund University, BMC D10, 22184 Lund, Sweden.
Many forms of bioimage analysis involve the detection of objects and their outlines. In the context of microscopy-based high-throughput drug and genomic screening and even in smaller scale microscopy experiments, the objects that most often need to be detected are cells. In order to develop and benchmark algorithms and neural networks that can perform this task, high-quality datasets with annotated cell outlines are needed.
View Article and Find Full Text PDFCardiovasc Diabetol
January 2025
Department of Cardiology, Fuwai Hospital, National Center for Cardiovascular Diseases, Peking Union Medical College & Chinese Academy of Medical Sciences, No.167, Beijing, 100037, China.
Aim: Both clonal hematopoiesis of indeterminate potential (CHIP) and type 2 diabetes mellitus (T2DM) are conditions closely associated with advancing age. This study delves into the possible implications and prognostic significance of CHIP and T2DM in patients diagnosed with ST-segment elevation myocardial infarction (STEMI).
Methods: Deep-targeted sequencing employing a unique molecular identifier (UMI) for the analysis of 42 CHIP mutations-achieving an impressive mean depth of coverage at 1000 × -was conducted on a cohort of 1430 patients diagnosed with acute myocardial infarction (473 patients with T2DM and 930 non-DM subjects).
BMC Genomics
January 2025
Key Laboratory of Animal Genetics and Breeding on Tibetan Plateau, Ministry of Agriculture and Rural Affairs, Lanzhou Institute of Husbandry and Pharmaceutical Sciences of Chinese Academy of Agricultural Sciences, Lanzhou, 730050, China.
Background: Prolonged natural selection and artificial breeding have contributed to increased uniformity within the Tibetan sheep population, resulting in a reduction in genetic diversity and the establishment of selective signatures in the genome. This process has led to a loss of heterozygosity in specific genomic regions and the formation of Runs of Homozygosity (ROH). Current research on ROH predominantly focuses on inbreeding and the signals of selection; however, there is a paucity of investigation into the genetic load and selective pressures associated with ROH, both within these regions and beyond.
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