Generating genomic platforms to study Candida albicans pathogenesis

Mélanie Legrand (1) , Sophie Bachellier-Bassi (1) , Keunsook A Lee (2) , Yogesh Chaudhari (2) , Hélène Tournu (3) , Laurence Arbogast (1) , Hélène Boyer (1) , Murielle Chauvel (1) , Vitor Cabral (1) , Corinne Maufrais (1, 4) , Audrey Nesseir (1) , Irena Maslanka (2) , Emmanuelle E. Permal (1) , Tristan Rossignol (1) , Louise A Walker (2) , Ute Zeidler (1) , Sadri Znaidi (1) , Floris Schoeters (3) , Charlotte Majgier (1) , Renaud Julien (5) , Laurence Ma (6) , Magali Tichit (6) , Christiane Bouchier (6) , Patrick Van dijck (3) , Carol A Munro (2) , Christophe D'Enfert (1)

1 BPF - Biologie et Pathogénicité fongiques
2 University of Aberdeen
3 KU Leuven - Catholic University of Leuven - Katholieke Universiteit Leuven
4 Hub Bioinformatique et Biostatistique - Bioinformatics and Biostatistics HUB
5 Modul-Bio
6 Biomics

The advent of the genomic era has made elucidating gene function on a large scale a pressing challenge. ORFeome collections, whereby almost all ORFs of a given species are cloned and can be subsequently leveraged in multiple functional genomic approaches, represent valuable resources toward this endeavor. Here we provide novel, genome-scale tools for the study of Candida albicans, a commen-sal yeast that is also responsible for frequent superficial and disseminated infections in humans. We have generated an ORFeome collection composed of 5099 ORFs cloned in a Gateway™ donor vector, representing 83% of the currently annotated coding sequences of C. albicans. Sequencing data of the cloned ORFs are available in the CandidaOrfDB database at http: //candidaorfeome.eu. We also engineered 49 expression vectors with a choice of promoters, tags and selection markers and demonstrated their applicability to the study of target ORFs transferred from the C. albicans ORFeome. In addition, the use of the OR-Feome in the detection of protein-protein interaction was demonstrated. Mating-compatible strains as well as Gateway™-compatible two-hybrid vectors were en

Domains: Life Sciences [q-bio]; Infectious diseases; Genomics [q-bio.GN]

Mélanie Legrand, Sophie Bachellier-Bassi, Keunsook A Lee, Yogesh Chaudhari, Hélène Tournu, et al.. Generating genomic platforms to study Candida albicans pathogenesis. Nucleic Acids Research, 2018, 46 (14), pp.6935-6949. ⟨10.1093/nar/gky594⟩. ⟨pasteur-02015988⟩