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Aims: The objective of the study was to produce and characterize the cinnamoyl esterase EstA from the anaerobic fungus Piromyces equi for potential industrial applications. Methods and Results: The catalytic domain EstA was produced in Trichoderma reesei. Because the two fungi displayed different genome features, including different codon usage and GC content, a synthetic gene was designed and expressed, leading to the production of the corresponding protein at around 33 mg per litre in the T. reesei culture medium. After the recombinant protein was purified, biochemical characterization showed that EstA presents peak activity at pH 6·5 and at 50–60°C. Furthermore, EstA remained stable at pH 6–8 and below 50°C. EstA was compared to cinnamoyl esterases FaeA and FaeB from Aspergillus niger in terms of ferulic acid (FA) release from wheat bran (WB), maize bran (MB) and sugar beet pulp (SBP). Conclusion: The synthetic gene was successfully cloned and overexpressed in T. reesei. EstA from P. equi was demonstrated to efficiently release FA from various natural substrates. Significance and Impact of the Study: Recombinant EstA produced in an industrial enzyme producer, T. reesei, was biochemically characterized, and its capacity to release an aromatic compound (FA) for biotechnological applications was demonstrated.

Summary: We present PARSEC (PAtteRn Search and Contextualization), a new open source platform for guided discovery, allowing localization and biological characterization of short genomic sites in entire eukaryotic genomes. PARSEC can search for a sequence or a degenerated pattern. The retrieved set of genomic sites can be characterized in terms of (i) conservation in model organisms, (ii) genomic context (proximity to genes) and (iii) function of neighboring genes. These modules allow the user to explore, visualize, filter and extract biological knowledge from a set of short genomic regions such as transcription factor binding sites. Availability: Web site implemented in Java, JavaScript and C++, with all major browsers supported. Freely available at lbgi.fr/parsec. Source code is freely available at sourceforge.net/projects/genomicparsec. Contact: odile.lecompte@unistra.fr Supplementary information: Supplementary data are available at Bioinformatics online.