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Evolutionary dynamics of CRISPR gene drives.
Noble, Charleston; Olejarz, Jason; Esvelt, Kevin M; Church, George M; Nowak, Martin A.
Afiliación
  • Noble C; Program for Evolutionary Dynamics, Harvard University, Cambridge, MA 02138, USA.
  • Olejarz J; Wyss Institute for Biologically Inspired Engineering, Harvard University, Cambridge, MA 02138, USA.
  • Esvelt KM; Department of Genetics, Harvard Medical School, Cambridge, MA 02138, USA.
  • Church GM; Program for Evolutionary Dynamics, Harvard University, Cambridge, MA 02138, USA.
  • Nowak MA; Wyss Institute for Biologically Inspired Engineering, Harvard University, Cambridge, MA 02138, USA.
Sci Adv ; 3(4): e1601964, 2017 Apr.
Article en En | MEDLINE | ID: mdl-28435878
The alteration of wild populations has been discussed as a solution to a number of humanity's most pressing ecological and public health concerns. Enabled by the recent revolution in genome editing, clustered regularly interspaced short palindromic repeats (CRISPR) gene drives-selfish genetic elements that can spread through populations even if they confer no advantage to their host organism-are rapidly emerging as the most promising approach. However, before real-world applications are considered, it is imperative to develop a clear understanding of the outcomes of drive release in nature. Toward this aim, we mathematically study the evolutionary dynamics of CRISPR gene drives. We demonstrate that the emergence of drive-resistant alleles presents a major challenge to previously reported constructs, and we show that an alternative design that selects against resistant alleles could greatly improve evolutionary stability. We discuss all results in the context of CRISPR technology and provide insights that inform the engineering of practical gene drive systems.
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Texto completo: 1 Banco de datos: MEDLINE Asunto principal: Evolución Molecular / Sistemas CRISPR-Cas / Modelos Genéticos Idioma: En Revista: Sci Adv Año: 2017 Tipo del documento: Article País de afiliación: Estados Unidos

Texto completo: 1 Banco de datos: MEDLINE Asunto principal: Evolución Molecular / Sistemas CRISPR-Cas / Modelos Genéticos Idioma: En Revista: Sci Adv Año: 2017 Tipo del documento: Article País de afiliación: Estados Unidos