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      Epigenetic variation between urban and rural populations of Darwin’s finches

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          Abstract

          Background

          The molecular basis of evolutionary change is assumed to be genetic variation. However, growing evidence suggests that epigenetic mechanisms, such as DNA methylation, may also be involved in rapid adaptation to new environments. An important first step in evaluating this hypothesis is to test for the presence of epigenetic variation between natural populations living under different environmental conditions.

          Results

          In the current study we explored variation between populations of Darwin’s finches, which comprise one of the best-studied examples of adaptive radiation. We tested for morphological, genetic, and epigenetic differences between adjacent “urban” and “rural” populations of each of two species of ground finches, Geospiza fortis and G. fuliginosa, on Santa Cruz Island in the Galápagos. Using data collected from more than 1000 birds, we found significant morphological differences between populations of G. fortis, but not G. fuliginosa. We did not find large size copy number variation (CNV) genetic differences between populations of either species. However, other genetic variants were not investigated. In contrast, we did find dramatic epigenetic differences between the urban and rural populations of both species, based on DNA methylation analysis. We explored genomic features and gene associations of the differentially DNA methylated regions (DMR), as well as their possible functional significance.

          Conclusions

          In summary, our study documents local population epigenetic variation within each of two species of Darwin’s finches.

          Electronic supplementary material

          The online version of this article (doi:10.1186/s12862-017-1025-9) contains supplementary material, which is available to authorized users.

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          Most cited references69

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          The Sequence Alignment/Map format and SAMtools

          Summary: The Sequence Alignment/Map (SAM) format is a generic alignment format for storing read alignments against reference sequences, supporting short and long reads (up to 128 Mbp) produced by different sequencing platforms. It is flexible in style, compact in size, efficient in random access and is the format in which alignments from the 1000 Genomes Project are released. SAMtools implements various utilities for post-processing alignments in the SAM format, such as indexing, variant caller and alignment viewer, and thus provides universal tools for processing read alignments. Availability: http://samtools.sourceforge.net Contact: rd@sanger.ac.uk
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            Fast gapped-read alignment with Bowtie 2.

            As the rate of sequencing increases, greater throughput is demanded from read aligners. The full-text minute index is often used to make alignment very fast and memory-efficient, but the approach is ill-suited to finding longer, gapped alignments. Bowtie 2 combines the strengths of the full-text minute index with the flexibility and speed of hardware-accelerated dynamic programming algorithms to achieve a combination of high speed, sensitivity and accuracy.
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              Fitting Linear Mixed-Effects Models Usinglme4

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                Author and article information

                Contributors
                sabrina.mcnew@gmail.com
                daniel.beck@wsu.edu
                sadler@wsu.edu
                saknutie@gmail.com
                jennifer.koop@utah.edu
                clayton@biology.utah.edu
                509-335-1524 , skinner@wsu.edu
                Journal
                BMC Evol Biol
                BMC Evol. Biol
                BMC Evolutionary Biology
                BioMed Central (London )
                1471-2148
                24 August 2017
                24 August 2017
                2017
                : 17
                : 183
                Affiliations
                [1 ]ISNI 0000 0001 2193 0096, GRID grid.223827.e, Department of Biology, , University of Utah, ; Salt Lake City, UT 84112-0840 USA
                [2 ]ISNI 0000 0001 2157 6568, GRID grid.30064.31, Center for Reproductive Biology, School of Biological Sciences, , Washington State University, ; Pullman, WA 99164-4236 USA
                Article
                1025
                10.1186/s12862-017-1025-9
                5569522
                28835203
                9a5b8499-8dbd-46a9-b34c-6779ed4c79c7
                © The Author(s). 2017

                Open AccessThis 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
                : 26 January 2017
                : 26 July 2017
                Funding
                Funded by: John Templeton Foundation (US)
                Award ID: 54281
                Award Recipient :
                Funded by: FundRef http://dx.doi.org/10.13039/100000001, National Science Foundation;
                Funded by: NSF Graduate Research Fellowship
                Categories
                Research Article
                Custom metadata
                © The Author(s) 2017

                Evolutionary Biology
                epigenetics,geospiza,copy number variation,galápagos islands,dna methylation
                Evolutionary Biology
                epigenetics, geospiza, copy number variation, galápagos islands, dna methylation

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