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However, neither the annotation tools available at that time nor the scarcely available\n                    <jats:italic>omics<\/jats:italic>\n                    data\u2014let alone metabolic modeling and other nowadays common systems biology approaches\u2014allowed them to anticipate the astonishing capacities that are encoded in the genetic complement of this unique microorganism. In this work we have adopted a suite of state\u2010of\u2010the\u2010art genomic analysis tools to revisit the functional and metabolic information encoded in the chromosomal sequence of strain KT2440. We identified 242 new protein\u2010coding genes and re\u2010annotated the functions of 1548 genes, which are linked to almost 4900 PubMed references. Catabolic pathways for 92 compounds (carbon, nitrogen and phosphorus sources) that could not be accommodated by the previously constructed metabolic models were also predicted. The resulting examination not only accounts for some of the known stress tolerance traits known in\n                    <jats:italic>P. putida<\/jats:italic>\n                    but also recognizes the capacity of this bacterium to perform difficult redox reactions, thereby multiplying its value as a platform microorganism for industrial biotechnology.\n                  <\/jats:p>","DOI":"10.1111\/1462-2920.13230","type":"journal-article","created":{"date-parts":[[2016,2,25]],"date-time":"2016-02-25T22:16:46Z","timestamp":1456438606000},"page":"3403-3424","update-policy":"https:\/\/doi.org\/10.1002\/crossmark_policy","source":"Crossref","is-referenced-by-count":338,"title":["The revisited genome of\n                    <i>Pseudomonas putida<\/i>\n                    KT2440 enlightens its value as a robust metabolic\n                    <i>chassis<\/i>"],"prefix":"10.1111","volume":"18","author":[{"given":"Eugeni","family":"Belda","sequence":"first","affiliation":[{"name":"Alternative Energies and Atomic Energy Commission (CEA), Genomic Institute &amp; CNRS\u2010UMR8030 &amp; Evry University, Laboratory of Bioinformatics Analysis in Genomics and Metabolism 2 rue Gaston Cr\u00e9mieux 91057 Evry France"},{"name":"Institut Pasteur, Unit of Insect Vector Genetics and Genomics, Department of Parasitology and Mycology 28, rue du Dr. Roux, Paris, Cedex 15 75724 France"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Ruben G. 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