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Stephen C. Pratt

Researcher at Arizona State University

Publications -  106
Citations -  6012

Stephen C. Pratt is an academic researcher from Arizona State University. The author has contributed to research in topics: Temnothorax rugatulus & Tandem running. The author has an hindex of 34, co-authored 99 publications receiving 5455 citations. Previous affiliations of Stephen C. Pratt include Massachusetts Institute of Technology & Princeton University.

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Functional and evolutionary insights from the genomes of three parasitoid Nasonia species.

John H. Werren, +161 more
- 15 Jan 2010 - 
TL;DR: Key findings include the identification of a functional DNA methylation tool kit; hymenopteran-specific genes including diverse venoms; lateral gene transfers among Pox viruses, Wolbachia, and Nasonia; and the rapid evolution of genes involved in nuclear-mitochondrial interactions that are implicated in speciation.
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Quorum sensing, recruitment, and collective decision-making during colony emigration by the ant Leptothorax albipennis

TL;DR: A model shows that the quorum requirement can help a colony choose the best available site, even when few ants have the opportunity to compare sites directly, because recruiters to a given site launch the rapid transport of the bulk of the colony only if enough active ants have been "convinced" of the worth of the site.
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Information flow, opinion polling and collective intelligence in house-hunting social insects.

TL;DR: It is shown that classical mathematical models can illuminate the processes by which colonies are able to achieve decisions that are relatively swift and very well informed in one of the most difficult collective choices that social insects face: namely, house hunting by complete societies.
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Quorum responses and consensus decision making

TL;DR: A simple mathematical model is developed to show the central importance to speedy and accurate decisions of quorum responses, in which an animal's probability of exhibiting a behaviour is a sharply nonlinear function of the number of other individuals already performing this behaviour.

Polymorphisms at Nucleotide Resolution with a Single DNA Microarray

TL;DR: A system to detect all single-nucleotide differences between genomes with the use of data from a single hybridization to a whole-genome DNA microarray was devised, which allowed it to detect a variety of spontaneous single–base pair substitutions, insertions, and deletions.