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AssigneeSouth Dakota Board of Regents
InventorsDiego G. Diel, Marcelo de Lima, Maureen H.V. Fernandes, Bishwas Sharma
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The present invention is directed to novel nucleotide sequences of Senecavirus A (“SVA”), including novel genotypes thereof, which are useful as live attenuated and other vaccine compositions for treating and preventing diseases in swine and other animals. Vaccines provided according to the practice of the invention are effective against multiple swine SVA genotypes and isolates. Diagnostic and therapeutic sequences are also a feature of the present invention, as are infectious clones useful in the propagation of the virus and in the preparation of vaccines. Particularly important aspects of the invention include polynucleotide constructs that replicate in tissue culture and in host swine. The invention also provides for novel full length SVA genomes that can replicate efficiently in host animals and tissue culture.
A Senecavirus A(SVA) encoded by a DNA polynucleotide that is at least 95% identical, at a full-length nucleotide level, to SEQ ID:
An isolated Senecavirus A(SVA) that is encoded by a nucleotide sequence that is at least 90%, 95%, 96%, 97%, 98% or 99% identical, at a full length nucleotide level, to SEQ ID:
A live attenuated virus composition, comprising:
A plasmid for generating infection SVA virus of Plasmid pBRICK-FLSVA-SD15-
A vaccine composition comprising a live attenuated variant Senecavirus A(SVA) and a carrier wherein said composition is capable of protecting swine from challenge by both variant and prototype strains of SVA and preventing or treating one or more symptoms associated with SVA infection, and wherein achievement of protection is determined by an endpoint selected from the group consisting of prevention or control of any of the SVA infection symptoms of infection symptoms of vesicular lesions, lethargy, lameness, and/or anorexia wherein the virus used in the vaccine composition is at least 90%, 95%, 96%, 97%, 98% or 99% identical to SVA SEQ ID NO:1, 2, 3, or 4.
Dependencies are inferred from the claim text.