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Samuel S. Hunter

Researcher at University of Idaho

Publications -  36
Citations -  878

Samuel S. Hunter is an academic researcher from University of Idaho. The author has contributed to research in topics: Gene & Genome. The author has an hindex of 13, co-authored 34 publications receiving 641 citations.

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Journal ArticleDOI

Compensatory mutations improve general permissiveness to antibiotic resistance plasmids.

TL;DR: The authors show that when bacteria adapt to one plasmid, they become generally permissive to plasmids carriage, and suggest that poor plasmID persistence can be caused by a high cost involving helicase–plasmid interactions that can be rapidly ameliorated.
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Evolutionary Paths that Expand Plasmid Host-Range: Implications for Spread of Antibiotic Resistance

TL;DR: As evolved plasmids were able to persist longer in multiple naïve hosts, acquisition of this transposon also expanded the plasmid's host range, which has important implications for the spread of antibiotic resistance.
Journal ArticleDOI

The population genomics of rapid adaptation: disentangling signatures of selection and demography in white sands lizards

TL;DR: A number of similarities are identified between the two focal species, including strong evidence of selection in the blanched populations in the Mc1r region, and important differences between the species are found, suggesting different colonization times, different genetic architecture underlying the bl Blanched phenotype and different ages of the beneficial alleles.
Journal ArticleDOI

Retinal regeneration is facilitated by the presence of surviving neurons.

TL;DR: It is suggested that surviving retinal neurons provide structural/molecular information to regenerating neurons, and that this patterning mechanism regulates factors such as Shh, which control neuronal number, retinal lamination, and RGC axon pathfinding during retinal regeneration.
Proceedings ArticleDOI

SeqyClean: A Pipeline for High-throughput Sequence Data Preprocessing

TL;DR: It is shown that preprocessing data with SeqyClean first improves both de-novo genome assembly and genome mapping, and, according to the authors' tests, outperforms other available preprocessing tools.