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      Genome-wide patterns of differentiation over space and time in the Queensland fruit fly

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          Abstract

          The Queensland fruit fly, Bactrocera tryoni, is a major pest of Australian horticulture which has expanded its range in association with the spread of horticulture over the last ~ 150 years. Its distribution in northern Australia overlaps that of another fruit fly pest to which some authors accord full species status, Bactrocera aquilonis. We have used reduced representation genome-wide sequencing to genotype 359 individuals taken from 35 populations from across the current range of the two taxa, plus a further 73 individuals from six of those populations collected 15–22 years earlier. We find significant population differentiation along an east–west transect across northern Australia which likely reflects limited but bidirectional gene flow between the two taxa. The southward expansion of B. tryoni has led to relatively little genetic differentiation, and most of it is associated with a move into previously marginal inland habitats. Two disjunct populations elsewhere in Australia and three on Melanesian islands are each clearly differentiated from all others, with data strongly supporting establishment from relatively few founders and significant isolation subsequently. Resequencing of historical samples from one of the disjunct Australian populations shows that its genetic profile has changed little over a 15-year period, while the Melanesian data suggest a succession of ‘island hopping’ events with progressive reductions in genetic diversity. We discuss our results in relation to the control of B. tryoni and as a model for understanding the genetics of invasion and hybridisation processes.

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              Diversity arrays technology: a generic genome profiling technology on open platforms.

              In the last 20 years, we have observed an exponential growth of the DNA sequence data and simular increase in the volume of DNA polymorphism data generated by numerous molecular marker technologies. Most of the investment, and therefore progress, concentrated on human genome and genomes of selected model species. Diversity Arrays Technology (DArT), developed over a decade ago, was among the first "democratizing" genotyping technologies, as its performance was primarily driven by the level of DNA sequence variation in the species rather than by the level of financial investment. DArT also proved more robust to genome size and ploidy-level differences among approximately 60 organisms for which DArT was developed to date compared to other high-throughput genotyping technologies. The success of DArT in a number of organisms, including a wide range of "orphan crops," can be attributed to the simplicity of underlying concepts: DArT combines genome complexity reduction methods enriching for genic regions with a highly parallel assay readout on a number of "open-access" microarray platforms. The quantitative nature of the assay enabled a number of applications in which allelic frequencies can be estimated from DArT arrays. A typical DArT assay tests for polymorphism tens of thousands of genomic loci with the final number of markers reported (hundreds to thousands) reflecting the level of DNA sequence variation in the tested loci. Detailed DArT methods, protocols, and a range of their application examples as well as DArT's evolution path are presented.
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                Author and article information

                Contributors
                angel.popa@csiro.au
                Journal
                Sci Rep
                Sci Rep
                Scientific Reports
                Nature Publishing Group UK (London )
                2045-2322
                1 July 2020
                1 July 2020
                2020
                : 10
                : 10788
                Affiliations
                [1 ]ISNI 0000 0001 2158 5405, GRID grid.1004.5, Applied BioSciences, , Macquarie University, ; Sydney, NSW 2109 Australia
                [2 ]GRID grid.469914.7, CSIRO Land and Water, ; Black Mountain, Canberra, ACT 2601 Australia
                [3 ]ISNI 0000 0001 2180 7477, GRID grid.1001.0, Centre for Biodiversity Analysis, Ecology and Evolution, , Australian National University, ; Canberra, ACT 2601 Australia
                [4 ]ISNI 0000 0004 4902 0432, GRID grid.1005.4, School of Biological, Earth and Environmental Sciences, , University of New South Wales, ; Sydney, NSW 2052 Australia
                [5 ]ISNI 0000 0000 8831 109X, GRID grid.266842.c, Faculty of Health and Medicine, , University of Newcastle, ; Callaghan, NSW 2308 Australia
                Article
                67397
                10.1038/s41598-020-67397-5
                7329829
                32612249
                d448a89d-ee59-4cb1-9fdb-57e92b7d6c93
                © The Author(s) 2020

                Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/.

                History
                : 30 September 2019
                : 6 January 2020
                Funding
                Funded by: FundRef http://dx.doi.org/10.13039/501100000981, Hort Innovation;
                Award ID: HG14033
                Categories
                Article
                Custom metadata
                © The Author(s) 2020

                Uncategorized
                evolutionary biology,genetic hybridization,genomics,population genetics
                Uncategorized
                evolutionary biology, genetic hybridization, genomics, population genetics

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