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      Draft Genome Assembly and Population Genetics of an Agricultural Pollinator, the Solitary Alkali Bee (Halictidae: Nomia melanderi)

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          Abstract

          Alkali bees ( Nomia melanderi) are solitary relatives of the halictine bees, which have become an important model for the evolution of social behavior, but for which few solitary comparisons exist. These ground-nesting bees defend their developing offspring against pathogens and predators, and thus exhibit some of the key traits that preceded insect sociality. Alkali bees are also efficient native pollinators of alfalfa seed, which is a crop of major economic value in the United States. We sequenced, assembled, and annotated a high-quality draft genome of 299.6 Mbp for this species. Repetitive content makes up more than one-third of this genome, and previously uncharacterized transposable elements are the most abundant type of repetitive DNA. We predicted 10,847 protein coding genes, and identify 479 of these undergoing positive directional selection with the use of population genetic analysis based on low-coverage whole genome sequencing of 19 individuals. We found evidence of recent population bottlenecks, but no significant evidence of population structure. We also identify 45 genes enriched for protein translation and folding, transcriptional regulation, and triglyceride metabolism evolving slower in alkali bees compared to other halictid bees. These resources will be useful for future studies of bee comparative genomics and pollinator health research.

          Most cited references37

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          Controlling the False Discovery Rate: A Practical and Powerful Approach to Multiple Testing

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            Robust and scalable inference of population history from hundreds of unphased whole genomes

            Yun Song and colleagues present SMC++, a statistical method for population history inference capable of analyzing unphased whole genomes and sample sizes much larger than can be analyzed by current methods. The authors apply SMC++ to sequence data from human, Drosophila and finch populations.
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              OrthoDB v9.1: cataloging evolutionary and functional annotations for animal, fungal, plant, archaeal, bacterial and viral orthologs

              OrthoDB is a comprehensive catalog of orthologs, genes inherited by extant species from a single gene in their last common ancestor. In 2016 OrthoDB reached its 9th release, growing to over 22 million genes from over 5000 species, now adding plants, archaea and viruses. In this update we focused on usability of this fast-growing wealth of data: updating the user and programmatic interfaces to browse and query the data, and further enhancing the already extensive integration of available gene functional annotations. Collating functional annotations from over 100 resources, and enabled us to propose descriptive titles for 87% of ortholog groups. Additionally, OrthoDB continues to provide computed evolutionary annotations and to allow user queries by sequence homology. The OrthoDB resource now enables users to generate publication-quality comparative genomics charts, as well as to upload, analyze and interactively explore their own private data. OrthoDB is available from http://orthodb.org.
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                Author and article information

                Journal
                G3 (Bethesda)
                Genetics
                G3: Genes, Genomes, Genetics
                G3: Genes, Genomes, Genetics
                G3: Genes, Genomes, Genetics
                G3: Genes|Genomes|Genetics
                Genetics Society of America
                2160-1836
                14 January 2019
                March 2019
                : 9
                : 3
                : 625-634
                Affiliations
                [* ]Department of Biology, Utah State University, Logan, UT 84322
                []Smithsonian Tropical Research Institute, Panama City, Republic of Panama
                []State Key Laboratory of Genetic Resources and Evolution, Kunming Institute of Zoology, Chinese Academy of Sciences, 650223, Kunming, China
                [§ ]China National Genebank, BGI-Shenzhen, 518083, Shenzhen, Guangdong, China
                [** ]Centre for Social Evolution, Department of Biology, Universitetsparken 15, University of Copenhagen, DK-2100, Copenhagen, Denmark
                [†† ]The Francis Crick Institute, London NW1 1AT, United Kingdom
                [‡‡ ]Carl R. Woese Institute for Genomic Biology, University of Illinois at Urbana-Champaign, Urbana, IL
                [††† ]Program in Ecology, Evolution, and Conservation Biology, University of Illinois at Urbana-Champaign, Urbana, IL 61801
                [§§ ]Department of Entomology, Purdue University, W. Lafayette, IN, 47907
                [*** ]Foundation for Research and Technology Hellas, Institute of Molecular Biology and Biotechnology, 70013 Vassilika Vouton, Heraklion, Greece
                [‡‡‡ ]Department of Biology, York University, Toronto, Ontario, M3J 1P3, Canada
                [§§§ ]Swiss Institute of Bioinformatics, 1015 Lausanne, Switzerland
                [**** ]Department of Ecology and Evolution, University of Lausanne, 1015 Lausanne, Switzerland
                [†††† ]Institute of Biology, Martin-Luther-University Halle-Wittenberg, 06120 Halle, Germany
                Author notes
                [1 ]Corresponding author: Department of Biology, Utah State University, 5305 Old Main Hill, Logan, UT 84322-5305, E-mail: karen.kapheim@ 123456usu.edu
                Author information
                http://orcid.org/0000-0002-8140-7712
                http://orcid.org/0000-0001-6785-98620000
                http://orcid.org/0001-8722-272X
                http://orcid.org/0000-0003-2925-0807
                http://orcid.org/0000-0003-4994-0098
                http://orcid.org/0000-0002-8693-8678
                http://orcid.org/ 0000-0001-7638-4061
                http://orcid.org/0000-0003-4199-9052
                http://orcid.org/ 0000-0003-3233-4585
                http://orcid.org/ 0000-0001-6860-1521
                Article
                GGG_200865
                10.1534/g3.118.200865
                6404593
                30642875
                be781ea0-8fc9-4941-908a-ae4a528caedb
                Copyright © 2019 Kapheim et al.

                This is an open-access article distributed under the terms of the Creative Commons Attribution 4.0 International License ( http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

                History
                : 05 November 2018
                : 12 January 2019
                Page count
                Figures: 2, Tables: 1, Equations: 0, References: 78, Pages: 10
                Categories
                Genome Report

                Genetics
                solitary bee,alternative pollinators,transposable elements,population genetics,sociogenomics

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