A clone-based transcriptomics approach for the identification of genes relevant for itaconic acid production in Aspergillus.

Several Aspergillus species are well-known for the production of a variety of organic acids. In this study, a cloned based transcriptomics approach was used to identify genes crucial in the biosynthesis pathway for one of these acids, itaconic acid. From a number of different Aspergillus terreus controlled batch fermentations, those cultures with the largest difference in itaconic acid titer and productivity were selected for mRNA isolation. cDNAs derived from these mRNA samples were used for subsequent hybridization of glass slide arrays based on a collection of 5000 cDNA clones. A selection of 13 cDNA clones resulting in the strongest (>10-fold) differential hybridization signals were identified and subsequently the inserts of these clones were sequenced. Sequence analysis revealed the presence of in total five different gene inserts among the sequenced clones. From one of these sequences, encoding a gene of the MmgE-PrpD family, the full length coding region was shown to encode one of the crucial itaconic acid pathway enzymes cis-aconitate decarboxylase, by heterologous expression in Escherichia coli. Expression of this gene in Aspergillus niger, which is a natural citric acid producer, resulted in itaconate production. Genome analysis suggests that in A. terreus the cis-aconitate decarboxylase gene is part of an itaconate acid related gene cluster including genes encoding two pathway specific transporters and a Zinc finger protein. Interestingly, this cluster is directly linked to the large lovastatin gene cluster.

Multivariate analysis of microarray data by principal component discriminant analysis: prioritizing relevant transcripts linked to the degradation of different carbohydrates in Pseudomonas putida S12.

The value of the multivariate data analysis tools principal component analysis (PCA) and principal component discriminant analysis (PCDA) for prioritizing leads generated by microarrays was evaluated. To this end, Pseudomonas putida S12 was grown in independent triplicate fermentations on four different carbon sources, i.e. fructose, glucose, gluconate and succinate. RNA isolated from these samples was analysed in duplicate on an anonymous clone-based array to avoid bias during data analysis. The relevant transcripts were identified by analysing the loadings of the principal components (PC) and discriminants (D) in PCA and PCDA, respectively. Even more specifically, the relevant transcripts for a specific phenotype could also be ranked from the loadings under an angle (biplot) obtained after PCDA analysis. The leads identified in this way were compared with those identified using the commonly applied fold-difference and hierarchical clustering approaches. The different data analysis methods gave different results. The methods used were complementary and together resulted in a comprehensive picture of the processes important for the different carbon sources studied. For the more subtle, regulatory processes in a cell, the PCDA approach seemed to be the most effective. Except for glucose and gluconate dehydrogenase, all genes involved in the degradation of glucose, gluconate and fructose were identified. Moreover, the transcriptomics approach resulted in potential new insights into the physiology of the degradation of these carbon sources. Indications of iron limitation were observed with cells grown on glucose, gluconate or succinate but not with fructose-grown cells. Moreover, several cytochrome- or quinone-associated genes seemed to be specifically up- or downregulated, indicating that the composition of the electron-transport chain in P. putida S12 might change significantly in fructose-grown cells compared to glucose-, gluconate- or succinate-grown cells.

The solvent-tolerant Pseudomonas putida S12 as host for the production of cinnamic acid from glucose.

A Pseudomonas putida S12 strain was constructed that efficiently produced the fine chemical cinnamic acid from glucose or glycerol via the central metabolite phenylalanine. The gene encoding phenylalanine ammonia lyase from the yeast Rhodosporidium toruloides was introduced. Phenylalanine availability was the main bottleneck in cinnamic acid production, which could not be overcome by the overexpressing enzymes of the phenylalanine biosynthesis pathway. A successful approach in abolishing this limitation was the generation of a bank of random mutants and selection on the toxic phenylalanine anti-metabolite m-fluoro-phenylalanine. Following high-throughput screening, a mutant strain was obtained that, under optimised culture conditions, accumulated over 5 mM of cinnamic acid with a yield (Cmol%) of 6.7%.

A convenient and reproducible method to genetically transform bacteria of the genus Bifidobacterium.

A protocol was developed for the introduction of foreign plasmid DNA into various Bifidobacterium strains. The method, which is applicable to all Bifidobacterium species tested so far, is based on electroporation of bacteria made competent by preincubation in electroporation buffer for several hours at 4 degrees C. Transformation of Bifidobacterium could be achieved with a plasmid vector originating from Bifidobacterium and with plasmid vectors from Corynebacterium, but not with vectors carrying replicons from Lactococcus or Lactobacillus.