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      Old divergence and restricted gene flow between torrent duck ( Merganetta armata) subspecies in the Central and Southern Andes

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          Abstract

          Aim

          To investigate the structure and rate of gene flow among populations of habitat‐specialized species to understand the ecological and evolutionary processes underpinning their population dynamics and historical demography, including speciation and extinction.

          Location

          Peruvian and Argentine Andes.

          Taxon

          Two subspecies of torrent duck ( Merganetta armata).

          Methods

          We sampled 156 individuals in Peru ( M. a. leucogenis; Chillón River, n = 57 and Pachachaca River, n = 49) and Argentina ( M. a. armata; Arroyo Grande River, n = 33 and Malargüe River, n = 17), and sequenced the mitochondrial DNA (mtDNA) control region to conduct coarse and fine‐scale demographic analyses of population structure. Additionally, to test for differences between subspecies, and across genetic markers with distinct inheritance patterns, a subset of individuals (Peru, n = 10 and Argentina, n = 9) was subjected to partial genome resequencing, obtaining 4,027 autosomal and 189 Z‐linked double‐digest restriction‐associated DNA sequences.

          Results

          Haplotype and nucleotide diversities were higher in Peru than Argentina across all markers. Peruvian and Argentine subspecies showed concordant species‐level differences (Φ ST mtDNA = 0.82; Φ ST autosomal = 0.30; Φ ST Z chromosome = 0.45), including no shared mtDNA haplotypes. Demographic parameters estimated for mtDNA using IM and IMa2 analyses, and for autosomal markers using ∂a∂i (isolation‐with‐migration model), supported an old divergence (mtDNA = 600,000 years before present (ybp), 95% HPD range = 1.2 Mya to 200,000 ybp; and autosomal ∂a∂i = 782,490 ybp), between the two subspecies, characteristic of deeply diverged lineages. The populations were well‐differentiated in Argentina but moderately differentiated in Peru, with low unidirectional gene flow in each country.

          Main conclusions

          We suggest that the South American Arid Diagonal was preexisting and remains a current phylogeographic barrier between the ranges of the two torrent duck subspecies, and the adult territoriality and breeding site fidelity to the rivers define their population structure.

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          Most cited references87

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          Trends, rhythms, and aberrations in global climate 65 Ma to present.

          Since 65 million years ago (Ma), Earth's climate has undergone a significant and complex evolution, the finer details of which are now coming to light through investigations of deep-sea sediment cores. This evolution includes gradual trends of warming and cooling driven by tectonic processes on time scales of 10(5) to 10(7) years, rhythmic or periodic cycles driven by orbital processes with 10(4)- to 10(6)-year cyclicity, and rare rapid aberrant shifts and extreme climate transients with durations of 10(3) to 10(5) years. Here, recent progress in defining the evolution of global climate over the Cenozoic Era is reviewed. We focus primarily on the periodic and anomalous components of variability over the early portion of this era, as constrained by the latest generation of deep-sea isotope records. We also consider how this improved perspective has led to the recognition of previously unforeseen mechanisms for altering climate.
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            Gene flow and the limits to natural selection

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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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                Author and article information

                Contributors
                luis.alza@corbidi.org
                Journal
                Ecol Evol
                Ecol Evol
                10.1002/(ISSN)2045-7758
                ECE3
                Ecology and Evolution
                John Wiley and Sons Inc. (Hoboken )
                2045-7758
                15 August 2019
                September 2019
                : 9
                : 17 ( doiID: 10.1002/ece3.v9.17 )
                : 9961-9976
                Affiliations
                [ 1 ] Department of Biology University of Miami Coral Gables FL USA
                [ 2 ] División de Ornitología CORBIDI Lima Peru
                [ 3 ] Institute of Arctic Biology Department of Biology and Wildlife University of Alaska Fairbanks AK USA
                [ 4 ] Department of Biological Sciences University of Texas at El Paso El Paso TX USA
                [ 5 ] Department of Biological Sciences Wright State University Dayton OH USA
                [ 6 ] Laboratorio de Zoología‐CRUB Universidad Nacional del Comahue Bariloche Argentina
                [ 7 ] Centro de Ecología Aplicada del Litoral (CECOAL‐CONICET) Corrientes Argentina
                [ 8 ] División Ornitología Museo Argentino de Ciencias Naturales (MACN‐CONICET) Buenos Aires Argentina
                [ 9 ] Instituto Argentino de Investigaciones de las Zonas Áridas (CCT Mendoza‐CONICET) Mendoza Argentina
                [ 10 ] Rosenstiel School of Marine and Atmospheric Sciences University of Miami Coral Gables FL USA
                [ 11 ] University of Alaska Museum University of Alaska Fairbanks Fairbanks AK USA
                Author notes
                [*] [* ] Correspondence

                Luis Alza, Department of Biology, University of Miami, Coral Gables, FL, USA.

                Email: luis.alza@ 123456corbidi.org

                Author information
                https://orcid.org/0000-0002-5926-4460
                https://orcid.org/0000-0002-5904-8821
                Article
                ECE35538
                10.1002/ece3.5538
                6745679
                7f02176d-350a-40f5-9770-de49b2bcf7df
                © 2019 The Authors. Ecology and Evolution published by John Wiley & Sons Ltd.

                This is an open access article under the terms of the http://creativecommons.org/licenses/by/4.0/ License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited.

                History
                : 01 May 2019
                : 16 July 2019
                : 19 July 2019
                Page count
                Figures: 4, Tables: 3, Pages: 16, Words: 12491
                Funding
                Funded by: Agencia Nacional de Promoción Científica y Tecnológica
                Award ID: PICT-2016-3712
                Funded by: National Science Foundation
                Award ID: NSF 0949439
                Funded by: Consejo Nacional de Investigaciones Científicas y Técnicas (Fondo iBol Argentina)
                Award ID: D3657
                Award ID: PIP 112 201301 00803 CO
                Categories
                Original Research
                Original Research
                Custom metadata
                2.0
                ece35538
                September 2019
                Converter:WILEY_ML3GV2_TO_NLMPMC version:5.6.9 mode:remove_FC converted:16.09.2019

                Evolutionary Biology
                andes,gene flow,genetic diversity,merganetta armata,population structure,time since divergence

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