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      The Genomic Footprints of the Fall and Recovery of the Crested Ibis

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          Summary

          Human-induced environmental change and habitat fragmentation pose major threats to biodiversity and require active conservation efforts to mitigate their consequences. Genetic rescue through translocation and the introduction of variation into imperiled populations has been argued as a powerful means to preserve, or even increase, the genetic diversity and evolutionary potential of endangered species [ 1, 2, 3, 4]. However, factors such as outbreeding depression [ 5, 6] and a reduction in available genetic diversity render the success of such approaches uncertain. An improved evaluation of the consequence of genetic restoration requires knowledge of temporal changes to genetic diversity before and after the advent of management programs. To provide such information, a growing number of studies have included small numbers of genomic loci extracted from historic and even ancient specimens [ 7, 8]. We extend this approach to its natural conclusion, by characterizing the complete genomic sequences of modern and historic population samples of the crested ibis ( Nipponia nippon), an endangered bird that is perhaps the most successful example of how conservation effort has brought a species back from the brink of extinction. Though its once tiny population has today recovered to >2,000 individuals [ 9], this process was accompanied by almost half of ancestral loss of genetic variation and high deleterious mutation load. We furthermore show how genetic drift coupled to inbreeding following the population bottleneck has largely purged the ancient polymorphisms from the current population. In conclusion, we demonstrate the unique promise of exploiting genomic information held within museum samples for conservation and ecological research.

          Highlights

          • Recent population decline of crested ibis in 10 kya was likely shaped by human activity

          • Modern group has lost almost half of genetic variations in pre-bottleneck ancestors

          • Modern group suffers from a high inbreeding coefficient and deleterious mutation load

          • Ancestral balancing selection is outweighed by genetic drift in the modern group

          Abstract

          Feng et al. use whole-genome sequencing of contemporary and historic crested ibis, an iconic endangered bird species, to explore how their genetic diversity has changed through time. Their analyses reveal the roles of genetic drift and intensive inbreeding on the loss of genetic diversity in today’s population.

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          Most cited references42

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          PopGenome: An Efficient Swiss Army Knife for Population Genomic Analyses in R

          Although many computer programs can perform population genetics calculations, they are typically limited in the analyses and data input formats they offer; few applications can process the large data sets produced by whole-genome resequencing projects. Furthermore, there is no coherent framework for the easy integration of new statistics into existing pipelines, hindering the development and application of new population genetics and genomics approaches. Here, we present PopGenome, a population genomics package for the R software environment (a de facto standard for statistical analyses). PopGenome can efficiently process genome-scale data as well as large sets of individual loci. It reads DNA alignments and single-nucleotide polymorphism (SNP) data sets in most common formats, including those used by the HapMap, 1000 human genomes, and 1001 Arabidopsis genomes projects. PopGenome also reads associated annotation files in GFF format, enabling users to easily define regions or classify SNPs based on their annotation; all analyses can also be applied to sliding windows. PopGenome offers a wide range of diverse population genetics analyses, including neutrality tests as well as statistics for population differentiation, linkage disequilibrium, and recombination. PopGenome is linked to Hudson’s MS and Ewing’s MSMS programs to assess statistical significance based on coalescent simulations. PopGenome’s integration in R facilitates effortless and reproducible downstream analyses as well as the production of publication-quality graphics. Developers can easily incorporate new analyses methods into the PopGenome framework. PopGenome and R are freely available from CRAN (http://cran.r-project.org/) for all major operating systems under the GNU General Public License.
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            Coefficients of Inbreeding and Relationship

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              Genetic rescue to the rescue.

              Genetic rescue can increase the fitness of small, imperiled populations via immigration. A suite of studies from the past decade highlights the value of genetic rescue in increasing population fitness. Nonetheless, genetic rescue has not been widely applied to conserve many of the threatened populations that it could benefit. In this review, we highlight recent studies of genetic rescue and place it in the larger context of theoretical and empirical developments in evolutionary and conservation biology. We also propose directions to help shape future research on genetic rescue. Genetic rescue is a tool that can stem biodiversity loss more than has been appreciated, provides population resilience, and will become increasingly useful if integrated with molecular advances in population genomics.
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                Author and article information

                Contributors
                Journal
                Curr Biol
                Curr. Biol
                Current Biology
                Cell Press
                0960-9822
                1879-0445
                21 January 2019
                21 January 2019
                : 29
                : 2
                : 340-349.e7
                Affiliations
                [1 ]University of Chinese Academy of Sciences, Beijing 100049, China
                [2 ]State Key Laboratory of Genetic Resources and Evolution, Kunming Institute of Zoology, Chinese Academy of Sciences, Kunming 650223, China
                [3 ]China National GeneBank, BGI–Shenzhen, Shenzhen 518083, China
                [4 ]Section for Ecology and Evolution, Department of Biology, University of Copenhagen, DK-2100 Copenhagen, Denmark
                [5 ]Centre for GeoGenetics, Natural History Museum of Denmark, University of Copenhagen, Øster Voldgade 5-7, 1350 Copenhagen, Denmark
                [6 ]The Francis Crick Institute, London NW1 1AT, UK
                [7 ]Institute of Evolutionary Biology (UPF-CSIC), PRBB, Dr. Aiguader 88, 08003 Barcelona, Spain
                [8 ]Museum of Natural History Vienna, 1st Zoological Department - Ornithology, Burgring 7, A-1010 Vienna, Austria
                [9 ]Staatliches Museum für Naturkunde, Rosenstein 1, 70191 Stuttgart, Germany
                [10 ]Bird Group, Department of Life Sciences, Natural History Museum, Akeman St, Tring, Herts HP23 6AP, UK
                [11 ]Catalan Institution of Research and Advanced Studies (ICREA), Passeig de Lluís Companys, 23, 08010, Barcelona, Spain
                [12 ]CNAG-CRG, Centre for Genomic Regulation (CRG), Barcelona Institute of Science and Technology (BIST), Baldiri i Reixac 4, 08028 Barcelona, Spain
                [13 ]Institut Català de Paleontologia Miquel Crusafont, Universitat Autònoma de Barcelona, Edifici ICTA-ICP, c/ Columnes s/n, 08193 Cerdanyola del Vallès, Barcelona, Spain
                [14 ]Norwegian University of Science and Technology, University Museum, 7491 Trondheim, Norway
                [15 ]Center for Excellence in Animal Evolution and Genetics, Chinese Academy of Sciences, Kunming 650223, China
                Author notes
                []Corresponding author guojie.zhang@ 123456bio.ku.dk
                [16]

                Lead Contact

                Article
                S0960-9822(18)31609-9
                10.1016/j.cub.2018.12.008
                6345625
                30639104
                3e2f2caf-e5ff-4fc2-807f-bd19977a25ff
                © 2018 The Author(s)

                This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/).

                History
                : 31 July 2018
                : 9 October 2018
                : 6 December 2018
                Categories
                Article

                Life sciences
                conservation genomics,population genomics,endangered species,extinction,demography,inbreeding,mutation load,genetic recovery,ancient genomics,ornithology

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