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D-Galactose Catabolism in Penicillium Chrysogenum: Expression Analysis of the Structural Genes of the Leloir Pathway

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Title
D-Galactose Catabolism in Penicillium Chrysogenum: Expression Analysis of the Structural Genes of the Leloir Pathway
Published in
Biologia Futura, December 2016
DOI 10.1556/018.67.2016.3.9
Pubmed ID
Authors

Ágota Jónás, Erzsébet Fekete, Zoltán Németh, Michel Flipphi, Levente Karaffa

Abstract

In this study, we analyzed the expression of the structural genes encoding the five enzymes comprising the Leloir pathway of D-galactose catabolism in the industrial cell factory Penicillium chrysogenum on various carbon sources. The genome of P. chrysogenum contains a putative galactokinase gene at the annotated locus Pc13g10140, the product of which shows strong structural similarity to yeast galactokinase that was expressed on lactose and D-galactose only. The expression profile of the galactose-1-phosphate uridylyl transferase gene at annotated locus Pc15g00140 was essentially similar to that of galactokinase. This is in contrast to the results from other fungi such as Aspergillus nidulans, Trichoderma reesei and A. niger, where the ortholog galactokinase and galactose-1-phosphate uridylyl transferase genes were constitutively expressed. As for the UDP-galactose-4-epimerase encoding gene, five candidates were identified. We could not detect Pc16g12790, Pc21g12170 and Pc20g06140 expression on any of the carbon sources tested, while for the other two loci (Pc21g10370 and Pc18g01080) transcripts were clearly observed under all tested conditions. Like the 4-epimerase specified at locus Pc21g10370, the other two structural Leloir pathway genes - UDP-glucose pyrophosphorylase (Pc21g12790) and phosphoglucomutase (Pc18g01390) - were expressed constitutively at high levels as can be expected from their indispensable function in fungal cell wall formation.

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Geographical breakdown

Country Count As %
Unknown 8 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 3 38%
Student > Doctoral Student 1 13%
Student > Master 1 13%
Unknown 3 38%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 3 38%
Agricultural and Biological Sciences 1 13%
Engineering 1 13%
Unknown 3 38%