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Metagenomic Analysis of Silage
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Hacia una metagenómica comparativa precisa y cuantitativa

Stephen Nayfach1, Katherine S Pollard2

  • 1Integrative Program in Quantitative Biology, University of California, San Francisco, CA 94158, USA; Gladstone Institutes, San Francisco, CA 94158, USA.

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|August 28, 2016
PubMed
Resumen

La metagenómica de escopeta necesita resúmenes de datos comparables para un análisis preciso de la comunidad microbiana. Mejorar la estandarización de los datos y las herramientas de análisis desbloqueará todo el potencial de la investigación del microbioma.

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Área de la Ciencia:

  • Microbiología
  • La bioinformática
  • Biología computacional

Sus antecedentes:

  • La metagenómica de escopeta y el análisis computacional son clave para comparar las comunidades microbianas.
  • La comprensión de las funciones microbianas en la biología humana y los entornos requiere resúmenes de datos cuantitativos comparables en todos los estudios.
  • La comparabilidad de los datos actuales está limitada por estadísticas de abundancia no estándar y sesgos experimentales.

Objetivo del estudio:

  • Identificar los desafíos que obstaculizan la metagenómica comparativa precisa.
  • Proponer soluciones para mejorar la comparabilidad y la integración de los datos en los estudios del microbioma.
  • Para imaginar un futuro de la investigación microbioma replicable y la medicina microbioma eficaz.

Principales métodos:

  • Utilizando la metagenómica de escopeta para el perfil taxonómico y funcional.
  • Aplicación del análisis computacional a los datos de la comunidad microbiana.
  • Identificación de sesgos en los protocolos experimentales y los enfoques de limpieza de datos.

Principales resultados:

  • Las estadísticas actuales de abundancia no estiman parámetros significativos de la comunidad microbiana.
  • Los protocolos experimentales y la limpieza de datos introducen sesgos significativos.
  • La falta de estandarización dificulta la comparabilidad entre estudios.

Conclusiones:

  • Abordar los desafíos en el diseño del estudio, el acceso a los datos, la estandarización de los metadatos y las herramientas de análisis es crucial para una metagenómica comparativa precisa.
  • Los estudios futuros sobre el microbioma deben ser reproducibles y fácilmente integrables con los datos existentes.
  • Darse cuenta del potencial de la metagenómica para el modelado predictivo, los estudios de asociación y la medicina requiere estas mejoras.