---
_id: '9470'
abstract:
- lang: eng
  text: A key step in understanding the genetic basis of different evolutionary outcomes
    (e.g., adaptation) is to determine the roles played by different mutation types
    (e.g., SNPs, translocations and inversions). To do this we must simultaneously
    consider different mutation types in an evolutionary framework. Here, we propose
    a research framework that directly utilizes the most important characteristics
    of mutations, their population genetic effects, to determine their relative evolutionary
    significance in a given scenario. We review known population genetic effects of
    different mutation types and show how these may be connected to different evolutionary
    outcomes. We provide examples of how to implement this framework and pinpoint
    areas where more data, theory and synthesis are needed. Linking experimental and
    theoretical approaches to examine different mutation types simultaneously is a
    critical step towards understanding their evolutionary significance.
acknowledgement: We thank the editor, two helpful reviewers, Roger Butlin, Kerstin
  Johannesson, Valentina Peona, Rike Stelkens, Julie Blommaert, Nick Barton, and João
  Alpedrinha for helpful comments that improved the manuscript. The authors acknowledge
  funding from the Swedish Research Council Formas (2017-01597 to AS), the Swedish
  Research Council Vetenskapsrådet (2016-05139 to AS, 2019-04452 to TS) and from the
  European Research Council (ERC) under the European Union’s Horizon 2020 research
  and innovation programme (grant agreement no. 757451 to TS). ELB was funded by a
  Carl Tryggers grant awarded to Tanja Slotte. Anja M. Westram was funded by the European
  Union’s Horizon 2020 research and innovation programme under the Marie Sklodowska-Curie
  grant agreement No 797747. Inês Fragata was funded by a Junior Researcher contract
  from FCT (CEECIND/02616/2018).
article_processing_charge: No
author:
- first_name: Emma L.
  full_name: Berdan, Emma L.
  last_name: Berdan
- first_name: Alexandre
  full_name: Blanckaert, Alexandre
  last_name: Blanckaert
- first_name: Tanja
  full_name: Slotte, Tanja
  last_name: Slotte
- first_name: Alexander
  full_name: Suh, Alexander
  last_name: Suh
- first_name: Anja M
  full_name: Westram, Anja M
  id: 3C147470-F248-11E8-B48F-1D18A9856A87
  last_name: Westram
  orcid: 0000-0003-1050-4969
- first_name: Inês
  full_name: Fragata, Inês
  last_name: Fragata
citation:
  ama: 'Berdan EL, Blanckaert A, Slotte T, Suh A, Westram AM, Fragata I. Unboxing
    mutations: Connecting mutation types with evolutionary consequences. <i>Molecular
    Ecology</i>. 2021;30(12):2710-2723. doi:<a href="https://doi.org/10.1111/mec.15936">10.1111/mec.15936</a>'
  apa: 'Berdan, E. L., Blanckaert, A., Slotte, T., Suh, A., Westram, A. M., &#38;
    Fragata, I. (2021). Unboxing mutations: Connecting mutation types with evolutionary
    consequences. <i>Molecular Ecology</i>. Wiley. <a href="https://doi.org/10.1111/mec.15936">https://doi.org/10.1111/mec.15936</a>'
  chicago: 'Berdan, Emma L., Alexandre Blanckaert, Tanja Slotte, Alexander Suh, Anja
    M Westram, and Inês Fragata. “Unboxing Mutations: Connecting Mutation Types with
    Evolutionary Consequences.” <i>Molecular Ecology</i>. Wiley, 2021. <a href="https://doi.org/10.1111/mec.15936">https://doi.org/10.1111/mec.15936</a>.'
  ieee: 'E. L. Berdan, A. Blanckaert, T. Slotte, A. Suh, A. M. Westram, and I. Fragata,
    “Unboxing mutations: Connecting mutation types with evolutionary consequences,”
    <i>Molecular Ecology</i>, vol. 30, no. 12. Wiley, pp. 2710–2723, 2021.'
  ista: 'Berdan EL, Blanckaert A, Slotte T, Suh A, Westram AM, Fragata I. 2021. Unboxing
    mutations: Connecting mutation types with evolutionary consequences. Molecular
    Ecology. 30(12), 2710–2723.'
  mla: 'Berdan, Emma L., et al. “Unboxing Mutations: Connecting Mutation Types with
    Evolutionary Consequences.” <i>Molecular Ecology</i>, vol. 30, no. 12, Wiley,
    2021, pp. 2710–23, doi:<a href="https://doi.org/10.1111/mec.15936">10.1111/mec.15936</a>.'
  short: E.L. Berdan, A. Blanckaert, T. Slotte, A. Suh, A.M. Westram, I. Fragata,
    Molecular Ecology 30 (2021) 2710–2723.
date_created: 2021-06-06T22:01:31Z
date_published: 2021-06-01T00:00:00Z
date_updated: 2023-08-08T13:59:18Z
day: '01'
ddc:
- '570'
department:
- _id: NiBa
doi: 10.1111/mec.15936
ec_funded: 1
external_id:
  isi:
  - '000652056400001'
file:
- access_level: open_access
  checksum: e6f4731365bde2614b333040a08265d8
  content_type: application/pdf
  creator: kschuh
  date_created: 2021-06-11T15:34:53Z
  date_updated: 2021-06-11T15:34:53Z
  file_id: '9545'
  file_name: 2021_MolecularEcology_Berdan.pdf
  file_size: 1031978
  relation: main_file
  success: 1
file_date_updated: 2021-06-11T15:34:53Z
has_accepted_license: '1'
intvolume: '        30'
isi: 1
issue: '12'
language:
- iso: eng
license: https://creativecommons.org/licenses/by-nc/4.0/
month: '06'
oa: 1
oa_version: Published Version
page: 2710-2723
project:
- _id: 265B41B8-B435-11E9-9278-68D0E5697425
  call_identifier: H2020
  grant_number: '797747'
  name: Theoretical and empirical approaches to understanding Parallel Adaptation
publication: Molecular Ecology
publication_identifier:
  eissn:
  - 1365294X
  issn:
  - '09621083'
publication_status: published
publisher: Wiley
quality_controlled: '1'
scopus_import: '1'
status: public
title: 'Unboxing mutations: Connecting mutation types with evolutionary consequences'
tmp:
  image: /images/cc_by_nc.png
  legal_code_url: https://creativecommons.org/licenses/by-nc/4.0/legalcode
  name: Creative Commons Attribution-NonCommercial 4.0 International (CC BY-NC 4.0)
  short: CC BY-NC (4.0)
type: journal_article
user_id: 4359f0d1-fa6c-11eb-b949-802e58b17ae8
volume: 30
year: '2021'
...