CAR gene cluster and transcript levels of carotenogenic genes in Rhodotorula mucilaginosa

八氢番茄红素合酶 八氢番茄红素脱氢酶 类胡萝卜素 植物烯 生物 基因 番茄红素 生物化学 基因簇 生物合成
作者
Sara Landolfo,Giuseppe Ianiri,Salvatore Camiolo,Andrea Porceddu,Giuliana Mulas,Rossella Chessa,Giacomo Zara,Ilaria Mannazzu
出处
期刊:Microbiology [Microbiology Society]
卷期号:164 (1): 78-87 被引量:30
标识
DOI:10.1099/mic.0.000588
摘要

A molecular approach was applied to the study of the carotenoid biosynthetic pathway of Rhodotorula mucilaginosa. At first, functional annotation of the genome of R. mucilaginosa C2.5t1 was carried out and gene ontology categories were assigned to 4033 predicted proteins. Then, a set of genes involved in different steps of carotenogenesis was identified and those coding for phytoene desaturase, phytoene synthase/lycopene cyclase and carotenoid dioxygenase (CAR genes) proved to be clustered within a region of ~10 kb. Quantitative PCR of the genes involved in carotenoid biosynthesis showed that genes coding for 3-hydroxy-3-methylglutharyl-CoA reductase and mevalonate kinase are induced during exponential phase while no clear trend of induction was observed for phytoene synthase/lycopene cyclase and phytoene dehydrogenase encoding genes. Thus, in R. mucilaginosa the induction of genes involved in the early steps of carotenoid biosynthesis is transient and accompanies the onset of carotenoid production, while that of CAR genes does not correlate with the amount of carotenoids produced. The transcript levels of genes coding for carotenoid dioxygenase, superoxide dismutase and catalase A increased during the accumulation of carotenoids, thus suggesting the activation of a mechanism aimed at the protection of cell structures from oxidative stress during carotenoid biosynthesis. The data presented herein, besides being suitable for the elucidation of the mechanisms that underlie carotenoid biosynthesis, will contribute to boosting the biotechnological potential of this yeast by improving the outcome of further research efforts aimed at also exploring other features of interest.
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