title: Reptilian Transcriptomes v2.0: An Extensive Resource for Sauropsida Genomics and Transcriptomics.
abstract: Despite the availability of deep-sequencing techniques, genomic and transcriptomic data remain unevenly distributed across phylogenetic groups. For example, reptiles are poorly represented in sequence databases, hindering functional evolutionary and developmental studies in these lineages substantially more diverse than mammals. In addition, different studies use different assembly and annotation protocols, inhibiting meaningful comparisons. Here, we present the "Reptilian Transcriptomes Database 2.0," which provides extensive annotation of transcriptomes and genomes from species covering the major reptilian lineages. To this end, we sequenced normalized complementary DNA libraries of multiple adult tissues and various embryonic stages of the leopard gecko and the corn snake and gathered published reptilian sequence data sets from representatives of the four extant orders of reptiles: Squamata (snakes and lizards), the tuatara, crocodiles, and turtles. The LANE runner 2.0 software was implemented to annotate all assemblies within a single integrated pipeline. We show that this approach increases the annotation completeness of the assembled transcriptomes/genomes. We then built large concatenated protein alignments of single-copy genes and inferred phylogenetic trees that support the positions of turtles and the tuatara as sister groups of Archosauria and Squamata, respectively. The Reptilian Transcriptomes Database 2.0 resource will be updated to include selected new data sets as they become available, thus making it a reference for differential expression studies, comparative genomics and transcriptomics, linkage mapping, molecular ecology, and phylogenomic analyses involving reptiles. The database is available at www.reptilian-transcriptomes.org and can be enquired using a wwwblast server installed at the University of Geneva.
authors.affiliation: Laboratory of Artificial & Natural Evolution (LANE), Department of Genetics & Evolution, University of Geneva, Switzerland SIB Swiss Institute of Bioinformatics, Switzerland Institute of Genetics and Genomics of Geneva (iGE3), University of Geneva, Switzerland athanasia.tzika@unige.ch michel.milinkovitch@unige.ch.
authors.forename: Athanasia C
authors.initials: AC
authors.lastname: Tzika
authors.affiliation: Laboratory of Artificial & Natural Evolution (LANE), Department of Genetics & Evolution, University of Geneva, Switzerland SIB Swiss Institute of Bioinformatics, Switzerland Institute of Genetics and Genomics of Geneva (iGE3), University of Geneva, Switzerland.
authors.forename: Asier
authors.initials: A
authors.lastname: Ullate-Agote
authors.affiliation: Laboratory of Artificial & Natural Evolution (LANE), Department of Genetics & Evolution, University of Geneva, Switzerland SIB Swiss Institute of Bioinformatics, Switzerland Institute of Genetics and Genomics of Geneva (iGE3), University of Geneva, Switzerland.
authors.forename: Djordje
authors.initials: D
authors.lastname: Grbic
authors.affiliation: Laboratory of Artificial & Natural Evolution (LANE), Department of Genetics & Evolution, University of Geneva, Switzerland SIB Swiss Institute of Bioinformatics, Switzerland Institute of Genetics and Genomics of Geneva (iGE3), University of Geneva, Switzerland athanasia.tzika@unige.ch michel.milinkovitch@unige.ch.
authors.forename: Michel C
authors.initials: MC
authors.lastname: Milinkovitch
mesh_terms: D000489:Alligators and Crocodiles / Q000235:genetics; D000818:Animals; D001483:Base Sequence; D016384:Consensus Sequence; D030541:Databases, Genetic; D020869:Gene Expression Profiling; D016678:Genome; D023281:Genomics; D008116:Lizards / Q000235:genetics; D058977:Molecular Sequence Annotation; D010802:Phylogeny; D012104:Reptiles / Q000145:classification / Q000235:genetics*; D012911:Snakes / Q000235:genetics
keywords: Archosauria; deep sequencing; reptiles; squamates; transcriptomes; turtles