---
_id: '139'
abstract:
- lang: eng
text: 'Genome-scale diversity data are increasingly available in a variety of biological
systems, and can be used to reconstruct the past evolutionary history of species
divergence. However, extracting the full demographic information from these data
is not trivial, and requires inferential methods that account for the diversity
of coalescent histories throughout the genome. Here, we evaluate the potential
and limitations of one such approach. We reexamine a well-known system of mussel
sister species, using the joint site frequency spectrum (jSFS) of synonymousmutations
computed either fromexome capture or RNA-seq, in an Approximate Bayesian Computation
(ABC) framework. We first assess the best sampling strategy (number of: individuals,
loci, and bins in the jSFS), and show that model selection is robust to variation
in the number of individuals and loci. In contrast, different binning choices
when summarizing the jSFS, strongly affect the results: including classes of low
and high frequency shared polymorphisms can more effectively reveal recent migration
events. We then take advantage of the flexibility of ABC to compare more realistic
models of speciation, including variation in migration rates through time (i.e.,
periodic connectivity) and across genes (i.e., genome-wide heterogeneity in migration
rates). We show that these models were consistently selected as the most probable,
suggesting that mussels have experienced a complex history of gene flow during
divergence and that the species boundary is semi-permeable. Our work provides
a comprehensive evaluation of ABC demographic inference in mussels based on the
coding jSFS, and supplies guidelines for employing different sequencing techniques
and sampling strategies. We emphasize, perhaps surprisingly, that inferences are
less limited by the volume of data, than by the way in which they are analyzed.'
article_number: '30083438'
article_processing_charge: No
author:
- first_name: Christelle
full_name: Fraisse, Christelle
id: 32DF5794-F248-11E8-B48F-1D18A9856A87
last_name: Fraisse
orcid: 0000-0001-8441-5075
- first_name: Camille
full_name: Roux, Camille
last_name: Roux
- first_name: Pierre
full_name: Gagnaire, Pierre
last_name: Gagnaire
- first_name: Jonathan
full_name: Romiguier, Jonathan
last_name: Romiguier
- first_name: Nicolas
full_name: Faivre, Nicolas
last_name: Faivre
- first_name: John
full_name: Welch, John
last_name: Welch
- first_name: Nicolas
full_name: Bierne, Nicolas
last_name: Bierne
citation:
ama: 'Fraisse C, Roux C, Gagnaire P, et al. The divergence history of European blue
mussel species reconstructed from Approximate Bayesian Computation: The effects
of sequencing techniques and sampling strategies. PeerJ. 2018;2018(7).
doi:10.7717/peerj.5198'
apa: 'Fraisse, C., Roux, C., Gagnaire, P., Romiguier, J., Faivre, N., Welch, J.,
& Bierne, N. (2018). The divergence history of European blue mussel species
reconstructed from Approximate Bayesian Computation: The effects of sequencing
techniques and sampling strategies. PeerJ. PeerJ. https://doi.org/10.7717/peerj.5198'
chicago: 'Fraisse, Christelle, Camille Roux, Pierre Gagnaire, Jonathan Romiguier,
Nicolas Faivre, John Welch, and Nicolas Bierne. “The Divergence History of European
Blue Mussel Species Reconstructed from Approximate Bayesian Computation: The Effects
of Sequencing Techniques and Sampling Strategies.” PeerJ. PeerJ, 2018.
https://doi.org/10.7717/peerj.5198.'
ieee: 'C. Fraisse et al., “The divergence history of European blue mussel
species reconstructed from Approximate Bayesian Computation: The effects of sequencing
techniques and sampling strategies,” PeerJ, vol. 2018, no. 7. PeerJ, 2018.'
ista: 'Fraisse C, Roux C, Gagnaire P, Romiguier J, Faivre N, Welch J, Bierne N.
2018. The divergence history of European blue mussel species reconstructed from
Approximate Bayesian Computation: The effects of sequencing techniques and sampling
strategies. PeerJ. 2018(7), 30083438.'
mla: 'Fraisse, Christelle, et al. “The Divergence History of European Blue Mussel
Species Reconstructed from Approximate Bayesian Computation: The Effects of Sequencing
Techniques and Sampling Strategies.” PeerJ, vol. 2018, no. 7, 30083438,
PeerJ, 2018, doi:10.7717/peerj.5198.'
short: C. Fraisse, C. Roux, P. Gagnaire, J. Romiguier, N. Faivre, J. Welch, N. Bierne,
PeerJ 2018 (2018).
date_created: 2018-12-11T11:44:50Z
date_published: 2018-07-30T00:00:00Z
date_updated: 2023-10-17T12:25:28Z
day: '30'
ddc:
- '576'
department:
- _id: BeVi
- _id: NiBa
doi: 10.7717/peerj.5198
external_id:
isi:
- '000440484800002'
file:
- access_level: open_access
checksum: 7d55ae22598a1c70759cd671600cff53
content_type: application/pdf
creator: dernst
date_created: 2018-12-18T09:42:11Z
date_updated: 2020-07-14T12:44:48Z
file_id: '5739'
file_name: 2018_PeerJ_Fraisse.pdf
file_size: 1480792
relation: main_file
file_date_updated: 2020-07-14T12:44:48Z
has_accepted_license: '1'
intvolume: ' 2018'
isi: 1
issue: '7'
language:
- iso: eng
month: '07'
oa: 1
oa_version: Published Version
publication: PeerJ
publication_status: published
publisher: PeerJ
publist_id: '7784'
quality_controlled: '1'
scopus_import: '1'
status: public
title: 'The divergence history of European blue mussel species reconstructed from
Approximate Bayesian Computation: The effects of sequencing techniques and sampling
strategies'
tmp:
image: /images/cc_by.png
legal_code_url: https://creativecommons.org/licenses/by/4.0/legalcode
name: Creative Commons Attribution 4.0 International Public License (CC-BY 4.0)
short: CC BY (4.0)
type: journal_article
user_id: 2DF688A6-F248-11E8-B48F-1D18A9856A87
volume: 2018
year: '2018'
...