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Genetic Mapping of Thermotolerance Differences Between Species of Saccharomyces Yeast via Genome-Wide Reciprocal Hemizygosity Analysis
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Interacciones genéticas entre polimorfismos que afectan la expresión génica en levaduras.

Rachel B Brem1, John D Storey, Jacqueline Whittle

  • 1Program in Computational Biology, Fred Hutchinson Cancer Research Center, 1100 Fairview Avenue N, M2-B876, Seattle, Washington 98109, USA. rbrem@fhcrc.org

Nature
|August 5, 2005
PubMed
Resumen
Este resumen es generado por máquina.

Las interacciones genéticas influyen significativamente en los niveles de transcripción en la levadura, con muchos loci de rasgos cuantitativos (QTL) no detectados por las pruebas de un solo locus, pero detectables a través del análisis de interacción.

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Área de la Ciencia:

  • Genética La genética.
  • Biología de Sistemas Biología de Sistemas.
  • Biología Molecular Biología Molecular

Sus antecedentes:

  • Las interacciones genéticas entre los loci de rasgos cuantitativos (QTL) son cruciales para la herencia de rasgos.
  • La prevalencia y los mecanismos subyacentes de estas interacciones siguen siendo en gran medida no caracterizados.
  • Las interacciones pueden afectar el poder estadístico de los estudios genéticos.

Objetivo del estudio:

  • Para investigar la prevalencia de las interacciones genéticas que ocurren naturalmente en los niveles de transcripción de levadura.
  • Para identificar los loci específicos involucrados en estas interacciones.
  • Para evaluar la detectabilidad de QTLs que interactúan utilizando diferentes enfoques analíticos.

Principales métodos:

  • Análisis de los niveles de transcripción en un cruce entre dos cepas de Saccharomyces cerevisiae.
  • Búsqueda de todo el genoma de los loci secundarios que interactúan con los QTL primarios.
  • Confirmación de las interacciones identificadas utilizando polimorfismos de ingeniería en cepas isogénicas.

Principales resultados:

  • Se estima que las interacciones genéticas están involucradas en la herencia del 57% de las transcripciones.
  • Se identificaron pares de interacción estadísticamente significativos para 225 transcripciones.
  • El 67% de los loci secundarios que interactúan tuvieron efectos individuales demasiado pequeños para la detección de todo el genoma.
  • Se confirmó una interacción específica entre el locus de tipo de apareamiento (MAT) y GPA1.

Conclusiones:

  • Las interacciones genéticas están muy extendidas en la regulación de los niveles de transcripción.
  • Muchos QTL involucrados en la variación del nivel de transcripción pueden pasarse por alto en los análisis de un solo locus.
  • Las estrategias de prueba en dos etapas que tienen en cuenta las interacciones son esenciales para los estudios genéticos integrales.