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Estrategia multidimensional que permite la diversidad del metaboloma en fermentaciones microbianas
Anton Lindig1, Makram Fataeri1,2, Georg Hubmann1
1Chair for Bioprocess Engineering, Department of Biochemical and Chemical Engineering, TU Dortmund University, Emil-Figge-Straße 66, 44227, Dortmund, Germany.
Scientific reports
|January 29, 2026
Resumen
Lograr un descubrimiento consistente de productos naturales (PN) en sistemas de cultivo es un desafío. La optimización multidimensional de los parámetros del bioproceso es clave para mejorar la escalabilidad y reproducibilidad del metaboloma para obtener nuevos candidatos a fármacos.
Área de la Ciencia:
- Microbiología
- Metabolómica
- Biotecnología
Sus antecedentes:
- Los productos naturales (PN) son fuentes vitales de candidatos a fármacos.
- La biosíntesis de PN es sensible a las condiciones de cultivo, lo que dificulta la escalabilidad y la reproducibilidad.
- La consistencia de la huella metabólica entre sistemas es un desafío importante en el descubrimiento de PN.
Objetivo del estudio:
- Identificar los factores que mejoran la superposición de la huella metabólica para Streptomyces griseochromogenes en tres sistemas de cultivo.
- Mejorar la escalabilidad y reproducibilidad de los datos del metaboloma para el descubrimiento de PN.
Principales métodos:
- Se compararon las huellas metabólicas en matraces agitados con deflector (BSF), placas de 48 flores (48 FP) y biorreactores de tanque agitado (STR).
- Se investigaron los efectos de la disponibilidad de oxígeno y la concentración de etanol en la superposición metabólica.
- Se utilizó el análisis factorial de 80 cultivos y el análisis de redes moleculares.
Principales resultados:
- La superposición de la huella metabólica aumentó un 50% después de identificar los factores clave.
- El criterio de disponibilidad de oxígeno constante arrojó solo un 18% de superposición; la optimización aumentó esto en un 18%.
- La morfología y el número de características de masa total, influenciados por los sistemas de cultivo, fueron clave para la reproducibilidad.
Conclusiones:
- La optimización multidimensional es esencial para la escalabilidad y reproducibilidad robustas del metaboloma.
- Este enfoque facilita el descubrimiento de nuevos productos naturales.
- Los hallazgos allanan el camino para la identificación más confiable de candidatos a fármacos PN en diversos bioprocesos.
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