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      The interplay of demography and selection during maize domestication and expansion

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          Abstract

          Background

          The history of maize has been characterized by major demographic events, including population size changes associated with domestication and range expansion, and gene flow with wild relatives. The interplay between demographic history and selection has shaped diversity across maize populations and genomes.

          Results

          We investigate these processes using high-depth resequencing data from 31 maize landraces spanning the pre-Columbian distribution of maize, and four wild teosinte individuals ( Zea mays ssp. parviglumis). Genome-wide demographic analyses reveal that maize experienced pronounced declines in effective population size due to both a protracted domestication bottleneck and serial founder effects during post-domestication spread, while parviglumis in the Balsas River Valley experienced population growth. The domestication bottleneck and subsequent spread led to an increase in deleterious alleles in the domesticate compared to the wild progenitor. This cost is particularly pronounced in Andean maize, which has experienced a more dramatic founder event compared to other maize populations. Additionally, we detect introgression from the wild teosinte Zea mays ssp. mexicana into maize in the highlands of Mexico, Guatemala, and the southwestern USA, which reduces the prevalence of deleterious alleles likely due to the higher long-term effective population size of teosinte.

          Conclusions

          These findings underscore the strong interaction between historical demography and the efficiency of selection and illustrate how domesticated species are particularly useful for understanding these processes. The landscape of deleterious alleles and therefore evolutionary potential is clearly influenced by recent demography, a factor that could bear importantly on many species that have experienced recent demographic shifts.

          Electronic supplementary material

          The online version of this article (doi:10.1186/s13059-017-1346-4) contains supplementary material, which is available to authorized users.

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          Most cited references59

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          The complete genome sequence of a Neandertal from the Altai Mountains

          We present a high-quality genome sequence of a Neandertal woman from Siberia. We show that her parents were related at the level of half siblings and that mating among close relatives was common among her recent ancestors. We also sequenced the genome of a Neandertal from the Caucasus to low coverage. An analysis of the relationships and population history of available archaic genomes and 25 present-day human genomes shows that several gene flow events occurred among Neandertals, Denisovans and early modern humans, possibly including gene flow into Denisovans from an unknown archaic group. Thus, interbreeding, albeit of low magnitude, occurred among many hominin groups in the Late Pleistocene. In addition, the high quality Neandertal genome allows us to establish a definitive list of substitutions that became fixed in modern humans after their separation from the ancestors of Neandertals and Denisovans.
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            Testing for ancient admixture between closely related populations.

            One enduring question in evolutionary biology is the extent of archaic admixture in the genomes of present-day populations. In this paper, we present a test for ancient admixture that exploits the asymmetry in the frequencies of the two nonconcordant gene trees in a three-population tree. This test was first applied to detect interbreeding between Neandertals and modern humans. We derive the analytic expectation of a test statistic, called the D statistic, which is sensitive to asymmetry under alternative demographic scenarios. We show that the D statistic is insensitive to some demographic assumptions such as ancestral population sizes and requires only the assumption that the ancestral populations were randomly mating. An important aspect of D statistics is that they can be used to detect archaic admixture even when no archaic sample is available. We explore the effect of sequencing error on the false-positive rate of the test for admixture, and we show how to estimate the proportion of archaic ancestry in the genomes of present-day populations. We also investigate a model of subdivision in ancestral populations that can result in D statistics that indicate recent admixture.
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              Inferring human population size and separation history from multiple genome sequences

              The availability of complete human genome sequences from populations across the world has given rise to new population genetic inference methods that explicitly model their ancestral relationship under recombination and mutation. So far, application of these methods to evolutionary history more recent than 20-30 thousand years ago and to population separations has been limited. Here we present a new method that overcomes these shortcomings. The Multiple Sequentially Markovian Coalescent (MSMC) analyses the observed pattern of mutations in multiple individuals, focusing on the first coalescence between any two individuals. Results from applying MSMC to genome sequences from nine populations across the world suggest that the genetic separation of non-African ancestors from African Yoruban ancestors started long before 50,000 years ago, and give information about human population history as recently as 2,000 years ago, including the bottleneck in the peopling of the Americas, and separations within Africa, East Asia and Europe.
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                Author and article information

                Contributors
                lwang@iastate.edu
                beissingert@missouri.edu
                alorant@ucdavis.edu
                claudia.rossibarra@gmail.com
                rossibarra@ucdavis.edu
                mhufford@iastate.edu
                Journal
                Genome Biol
                Genome Biol
                Genome Biology
                BioMed Central (London )
                1474-7596
                1474-760X
                13 November 2017
                13 November 2017
                2017
                : 18
                : 215
                Affiliations
                [1 ]ISNI 0000 0004 1936 7312, GRID grid.34421.30, Department of Ecology, Evolution, and Organismal Biology, , Iowa State University, ; Ames, USA
                [2 ]ISNI 0000 0004 1936 7312, GRID grid.34421.30, Genome Informatics Facility, , Iowa State University, ; Ames, USA
                [3 ]ISNI 0000 0004 1936 9684, GRID grid.27860.3b, Department of Plant Sciences, , University of California, ; Davis, USA
                [4 ]USDA-ARS Plant Genetics Research Unit, Columbia, USA
                [5 ]ISNI 0000 0001 2162 3504, GRID grid.134936.a, Divisions of Plant and Biological Sciences, , University of Missouri, ; Columbia, USA
                [6 ]ISNI 0000 0004 1936 9684, GRID grid.27860.3b, Genome Center and Center for Population Biology, , University of California, ; Davis, USA
                Article
                1346
                10.1186/s13059-017-1346-4
                5683586
                29132403
                4584044f-c37d-4626-abba-d08c20dcb77a
                © The Author(s) 2017

                Open Access This article is 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 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 Creative Commons Public Domain Dedication waiver ( http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated.

                History
                : 27 June 2017
                : 19 October 2017
                Funding
                Funded by: FundRef http://dx.doi.org/10.13039/100000199, U.S. Department of Agriculture;
                Award ID: 2009-65300-05668
                Funded by: USDA Agricultural Research Service
                Funded by: FundRef http://dx.doi.org/10.13039/100000001, National Science Foundation;
                Award ID: 1546719
                Funded by: USDA Hatch project
                Award ID: CA-D-PLS-2066-H
                Funded by: FundRef http://dx.doi.org/10.13039/100009227, Iowa State University;
                Categories
                Research
                Custom metadata
                © The Author(s) 2017

                Genetics
                demography,domestication,genetic load,maize
                Genetics
                demography, domestication, genetic load, maize

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