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      A Multi-Platform Draft de novo Genome Assembly and Comparative Analysis for the Scarlet Macaw ( Ara macao)

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          Abstract

          Data deposition to NCBI Genomes

          This Whole Genome Shotgun project has been deposited at DDBJ/EMBL/GenBank under the accession AMXX00000000 (SMACv1.0, unscaffolded genome assembly). The version described in this paper is the first version (AMXX01000000). The scaffolded assembly (SMACv1.1) has been deposited at DDBJ/EMBL/GenBank under the accession AOUJ00000000, and is also the first version (AOUJ01000000). Strong biological interest in traits such as the acquisition and utilization of speech, cognitive abilities, and longevity catalyzed the utilization of two next-generation sequencing platforms to provide the first-draft de novo genome assembly for the large, new world parrot Ara macao (Scarlet Macaw). Despite the challenges associated with genome assembly for an outbred avian species, including 951,507 high-quality putative single nucleotide polymorphisms, the final genome assembly (>1.035 Gb) includes more than 997 Mb of unambiguous sequence data (excluding N’s). Cytogenetic analyses including ZooFISH revealed complex rearrangements associated with two scarlet macaw macrochromosomes (AMA6, AMA7), which supports the hypothesis that translocations, fusions, and intragenomic rearrangements are key factors associated with karyotype evolution among parrots. In silico annotation of the scarlet macaw genome provided robust evidence for 14,405 nuclear gene annotation models, their predicted transcripts and proteins, and a complete mitochondrial genome. Comparative analyses involving the scarlet macaw, chicken, and zebra finch genomes revealed high levels of nucleotide-based conservation as well as evidence for overall genome stability among the three highly divergent species. Application of a new whole-genome analysis of divergence involving all three species yielded prioritized candidate genes and noncoding regions for parrot traits of interest (i.e., speech, intelligence, longevity) which were independently supported by the results of previous human GWAS studies. We also observed evidence for genes and noncoding loci that displayed extreme conservation across the three avian lineages, thereby reflecting their likely biological and developmental importance among birds.

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          Gene Ontology: tool for the unification of biology

          Genomic sequencing has made it clear that a large fraction of the genes specifying the core biological functions are shared by all eukaryotes. Knowledge of the biological role of such shared proteins in one organism can often be transferred to other organisms. The goal of the Gene Ontology Consortium is to produce a dynamic, controlled vocabulary that can be applied to all eukaryotes even as knowledge of gene and protein roles in cells is accumulating and changing. To this end, three independent ontologies accessible on the World-Wide Web (http://www.geneontology.org) are being constructed: biological process, molecular function and cellular component.
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            Twelve type 2 diabetes susceptibility loci identified through large-scale association analysis.

            By combining genome-wide association data from 8,130 individuals with type 2 diabetes (T2D) and 38,987 controls of European descent and following up previously unidentified meta-analysis signals in a further 34,412 cases and 59,925 controls, we identified 12 new T2D association signals with combined P<5x10(-8). These include a second independent signal at the KCNQ1 locus; the first report, to our knowledge, of an X-chromosomal association (near DUSP9); and a further instance of overlap between loci implicated in monogenic and multifactorial forms of diabetes (at HNF1A). The identified loci affect both beta-cell function and insulin action, and, overall, T2D association signals show evidence of enrichment for genes involved in cell cycle regulation. We also show that a high proportion of T2D susceptibility loci harbor independent association signals influencing apparently unrelated complex traits.
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              TimeTree: a public knowledge-base of divergence times among organisms.

              Biologists and other scientists routinely need to know times of divergence between species and to construct phylogenies calibrated to time (timetrees). Published studies reporting time estimates from molecular data have been increasing rapidly, but the data have been largely inaccessible to the greater community of scientists because of their complexity. TimeTree brings these data together in a consistent format and uses a hierarchical structure, corresponding to the tree of life, to maximize their utility. Results are presented and summarized, allowing users to quickly determine the range and robustness of time estimates and the degree of consensus from the published literature. TimeTree is available at http://www.timetree.net
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                Author and article information

                Contributors
                Role: Editor
                Journal
                PLoS One
                PLoS ONE
                plos
                plosone
                PLoS ONE
                Public Library of Science (San Francisco, USA )
                1932-6203
                2013
                8 May 2013
                : 8
                : 5
                : e62415
                Affiliations
                [1 ]Department of Veterinary Pathobiology, College of Veterinary Medicine, Texas A&M University, College Station, Texas, United States of America
                [2 ]Molecular Research LP, Shallowater, Texas, United States of America
                [3 ]ElanTech, Inc., Greenbelt, Maryland, United States of America
                [4 ]Department of Veterinary Integrative Biosciences, College of Veterinary Medicine, Texas A&M University, College Station, Texas, United States of America
                [5 ]CLC bio, Finlandsgade, Katrinebjerg, Denmark
                BiK-F Biodiversity and Climate Research Center, Germany
                Author notes

                Competing Interests: The authors have the following competing interests to declare. SED runs a sequencing service center and was compensated for services, PMS is the brother of CMS and is also an unpaid collaborator and employee of ElanTech Inc. ElanTech Inc allows PMS to collaborate and participate in peer-reviewed publications. PL is also an unpaid collaborator of Dr. Seabury, who designed and validated the original CLC de novo assembler. PL is a paid employee of CLC Bio, but owns no stock in CLC Bio. Beyond the collaborative relationships stated here, the authors have no employment, consultancy, patents, products in development or marketed products to declare. This does not alter the authors’ adherence to all the PLOS ONE policies on sharing data and materials.

                Conceived and designed the experiments: CMS. Performed the experiments: CMS SED TR. Analyzed the data: CMS SED TR PMS. Contributed reagents/materials/analysis tools: PL IRT DJB. Wrote the paper: CMS. Assembled the genome: CMS. Performed comparative alignment: CMS. Performed in silico annotation: CMS SED. Parsed and scripted data: PMS CMS SED. Managed Data: CMS PMS CAF YH GV. Performed quality control analyses: CMS PMS CAF YH GV. Performed Cytogenetics: TR. Performed analysis of divergence and statistics: CMS. Engineered and validated the original de novo assembler: PL. Jointly conceived genome sequencing for the scarlet macaw: CMS DJB IRT. Provided comments and suggestions for the manuscript: SED PMS TR DJB PL YH CAF EO GV IRT. Performed feather pulp cell culture: EO.

                Article
                PONE-D-13-01897
                10.1371/journal.pone.0062415
                3648530
                23667475
                732eaa29-70f8-4905-9e07-12934ef978fa
                Copyright @ 2013

                This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.

                History
                : 7 January 2013
                : 21 March 2013
                Page count
                Pages: 20
                Funding
                This study was funded by donations to the Schubot Exotic Bird Health Center at Texas A&M University, College of Veterinary Medicine. The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript.
                Categories
                Research Article
                Biology
                Genetics
                Genomics

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