0000000000637231

AUTHOR

Alan O. Bergland

showing 4 related works from this author

Drosophila Evolution over Space and Time (DEST) - A New Population Genomics Resource

2021

Abstract Drosophila melanogaster is a leading model in population genetics and genomics, and a growing number of whole-genome datasets from natural populations of this species have been published over the last 20 years. A major challenge is the integration of these disparate datasets, often generated using different sequencing technologies and bioinformatic pipelines, which hampers our ability to address questions about the evolution and population structure of this species. Here we address these issues by developing a bioinformatics pipeline that maps pooled sequencing (Pool-Seq) reads from D. melanogaster to a hologenome consisting of fly and symbiont genomes and estimates allele frequenc…

0106 biological sciences0303 health scienceseducation.field_of_studyPopulationPopulation geneticsGenomicsGenome browserComputational biologyInformation repositoryBiology010603 evolutionary biology01 natural sciencesGenome03 medical and health sciencesComputingMethodologies_PATTERNRECOGNITIONHologenome theory of evolutionEvolutionary dynamicseducation030304 developmental biology
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Drosophila Evolution over Space and Time (DEST) : A New Population Genomics Resource

2021

Drosophila melanogaster is a leading model in population genetics and genomics, and a growing number of whole-genome datasets from natural populations of this species have been published over the last years. A major challenge is the integration of disparate datasets, often generated using different sequencing technologies and bioinformatic pipelines, which hampers our ability to address questions about the evolution of this species. Here we address these issues by developing a bioinformatics pipeline that maps pooled sequencing (Pool-Seq) reads from D. melanogaster to a hologenome consisting of fly and symbiont genomes and estimates allele frequencies using either a heuristic (PoolSNP) or a…

0106 biological sciencesdrosophilia melanogasterdemographyQH301 BiologyadaptationAcademicSubjects/SCI0118001 natural sciencesGene Frequencymedia_common0303 health sciencesEuropean researchbioinformatiikkaGenomics3rd-DASgenomiikkaNew populationResourcesDrosophila melanogaster; SNPs; adaptation; demography; evolution; population genomicsDrosophila melanogasterpopulaatiogenetiikkaChristian ministryCorrigendumSNPsResource (biology)population genomicsEvolutionevoluutioLibrary scienceQH426 GeneticsBiology010603 evolutionary biology03 medical and health sciencesQH301evolutionGeneticsmedia_common.cataloged_instanceAnimalsEuropean unionAdaptationMolecular BiologyQH426Ecology Evolution Behavior and Systematics030304 developmental biologyDemographyAcademicSubjects/SCI01130banaanikärpänenNISGenetics PopulationComputingMethodologies_PATTERNRECOGNITIONResearch councilMCPperimäMetagenomicsPopulation genomics
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Genomic Analysis of European Drosophila melanogaster Populations Reveals Longitudinal Structure, Continent-Wide Selection, and Previously Unknown DNA…

2020

Genetic variation is the fuel of evolution, with standing genetic variation especially important for short-term evolution and local adaptation. To date, studies of spatiotemporal patterns of genetic variation in natural populations have been challenging, as comprehensive sampling is logistically difficult, and sequencing of entire populations costly. Here, we address these issues using a collaborative approach, sequencing 48 pooled population samples from 32 locations, and perform the first continent-wide genomic analysis of genetic variation in European Drosophila melanogaster. Our analyses uncover longitudinal population structure, provide evidence for continent-wide selective sweeps, ide…

0106 biological sciencesMaleincipient sexual isolationQH301 BiologyAcclimatizationADNGenome Insect01 natural sciencesPopulation genomicsAdaptation; Clines; Demography; Population genomics; Selection; SNPs; Structural variants; Acclimatization; Altitude; Animals; DNA Viruses; Drosophila melanogaster; Europe; Genome Mitochondrial; Haplotypes; Insect Viruses; Male; Phylogeography; Polymorphism Single Nucleotide; Genome Insect; Genomic Structural Variation; Microbiota; Selection GeneticSDG 13 - Climate ActionComputingMilieux_MISCELLANEOUSeducation.field_of_study0303 health sciencesAltitude[SDV.BID.EVO]Life Sciences [q-bio]/Biodiversity/Populations and Evolution [q-bio.PE]PE&RCgeneettinen muunteluPhylogeographyDrosophila melanogasterLaboratory of GeneticsTransposable elementnorth-americanmahlakärpäsetSettore BIO/18 - GENETICAselectionLaboratorium voor Erfelijkheidsleeramino-acid polymorphism03 medical and health sciencesGeneticGeneticsAdaptation demographyMicrobiomeAdaptationPolymorphismeducationDrosophilaMolecular BiologySelectionEcology Evolution Behavior and SystematicsDemography[SDV.GEN.GPO]Life Sciences [q-bio]/Genetics/Populations and Evolution [q-bio.PE]DNAchemistryEvolutionary biologyGenome MitochondrialGenomic Structural Variationinversion in(3r)payneAdaptationPopulation genomicsStructural variantsGenètica[SDV.EE.IEO]Life Sciences [q-bio]/Ecology environment/Symbiosisadaptation demographyCandidate genenucleotide polymorphismAcademicSubjects/SCI01180chemistry.chemical_compoundMelanogaster2. Zero hungerGenomebiologyMicrobiotaSingle NucleotideClinesclinesMitochondrialEuropepopulaatiogenetiikkatransposable elementsDrosophila melanogasterSNPsnatural-populationspopulation genomicsPopulationnext-generationDrosòfila melanogasterInsect Viruses010603 evolutionary biologyPolymorphism Single NucleotideQH301latitudinal clineGenetic variationAnimalsSelection GeneticSelection (genetic algorithm)DiscoveriesLocal adaptation030304 developmental biologylife-historyAcademicSubjects/SCI01130DNA Virusesstructural variantsDASbiology.organism_classificationHaplotypes13. Climate actionperimä[SDE.BE]Environmental Sciences/Biodiversity and EcologyInsectDNAMolecular Biology and Evolution
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Evolutionary genomics can improve prediction of species' responses to climate change

2020

Abstract Global climate change (GCC) increasingly threatens biodiversity through the loss of species, and the transformation of entire ecosystems. Many species are challenged by the pace of GCC because they might not be able to respond fast enough to changing biotic and abiotic conditions. Species can respond either by shifting their range, or by persisting in their local habitat. If populations persist, they can tolerate climatic changes through phenotypic plasticity, or genetically adapt to changing conditions depending on their genetic variability and census population size to allow for de novo mutations. Otherwise, populations will experience demographic collapses and species may go ext…

eco‐evolutionary dynamicsComments and OpinionsRange (biology)Species distributionlcsh:EvolutionBiodiversityeco-evolutionary dynamics10127 Institute of Evolutionary Biology and Environmental Studiesmodelslcsh:QH359-425GeneticsComment and OpinionKeystone speciesEcology Evolution Behavior and SystematicsLocal adaptationgenomic quantitative geneticsbusiness.industryEnvironmental resource managementEnvironmental niche modellingGeographyBiodiversity loss570 Life sciences; biology590 Animals (Zoology)Biological dispersalbusinessGlobal biodiversity
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