Downloads provided by UsageCountsGenetic and phylogenetic analyses of hantaviral sequences amplified from archival tissues of deer mice (Peromyscus maniculatus nubiterrae) captured in the eastern United States
Copyright policy ) J W, Song; L J, Baek; J W, Nagle; D, Schlitter; R, Yanagihara;
Genetic and phylogenetic analyses of hantaviral sequences amplified from archival tissues of deer mice (Peromyscus maniculatus nubiterrae) captured in the eastern United States
The S and M segments of a hantavirus, enzymatically amplified from tissues of Cloudland deer mice (Peromyscus maniculatus nubiterrae) captured during 1985 in West Virginia, diverged from strains of Four Corners virus from the southwestern United States by more than 16% and 6% at the nucleotide and amino acid levels, respectively. Phylogenetic analysis suggested that this virus strain (designated Monongahela) forms a possible evolutionary link between the Four Corners and New York hantaviruses.
- National Institute of Health Pakistan
- National Institute of Health (NIH/NICHD) United States
- Carnegie Museum of Natural History United States
- National Institutes of Health United States
- National Institute of Neurological Disorders and Stroke United States
Peromyscus, Molecular Sequence Data, Gene Amplification, Animals, Amino Acid Sequence, Phylogeny, Hantaan virus
Peromyscus, Molecular Sequence Data, Gene Amplification, Animals, Amino Acid Sequence, Phylogeny, Hantaan virus
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This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
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This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
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