Avui, dijous 7 de maig, el Dipòsit Digital no estarà operatiu per tasques d'actualització. Disculpeu les molèsties.
Hoy, jueves 7 de mayo, el Dipòsit Digital no estará operativo debido a tareas de actualización. Disculpen las molestias.
Today, Thursday, May 7th, the Digital Repository will be unavailable due to a system update.

Tipus de document

Article

Versió

Versió publicada

Data de publicació

Tots els drets reservats

Si us plau utilitzeu sempre aquest identificador per citar o enllaçar aquest document: https://hdl.handle.net/2445/184112

Novel Long-Term Phytase from Serratia odorifera: Cloning, Expression, and Characterization.

Títol de la revista

Director/Tutor

ISSN de la revista

Títol del volum

Recurs relacionat

Resum

The appA-So gene, encoding a phytase from Serratia odorifera, was cloned and heterologously expressed in Komagataella phaffii. The open reading frame of appA-So comprised 1281 bp that encoded a 426-amino acid protein, including a 27-amino acid signal peptide. The encoded phytase, AppA-So, showed 52% homology with other histidine acid phosphatases. The purified recombinant phytase showed optimal activity at 55 °C and pH 4.5, exhibiting enzymatic activity between pH 3.7 and 5.8, with a specific activity of 1123 U/mg at pH 4.5 and 37 °C. The AppA-So protein retained more than 85% of its initial activity after incubation in different pH conditions (pH 2.5-6.5) at 37 °C for 3 h. AppA-So activity was maintained over time and displayed a low Michaelis-Menten constant (Km) of 0.093 g/L. To the best of our knowledge, this is the first report of the cloning and characterization of the phytase from S. odorifera. Comparison of AppA-So with other well-known phytases suggests that the S. odorifera phytase has the lowest Km and highest stable activity over time, making it very suitable for use in the animal feed industry.

Matèries (anglès)

Citació

Citació

SALAET, Ignasi, et al. Novel Long-Term Phytase from Serratia odorifera: Cloning, Expression, and Characterization. Food Science and Technology. 2021. Vol. 1, núm. 689-697. ISSN 0101-2061. [consulta: 8 de maig de 2026]. Disponible a: https://hdl.handle.net/2445/184112

Exportar metadades

JSON - METS

Compartir registre