Supplementary material from "Next Gen Pop Gen: implementing a high-throughput approach to population genetics in boarfish ( Capros aper )"

The recently developed approach for microsatellite genotyping by sequencing (GBS) using individual combinatorial barcoding was further improved and used to assess the genetic population structure of boarfish ( Capros aper ) across the species' range. Microsatellite loci were developed de novo a...

Full description

Bibliographic Details
Main Authors: Farrell, Edward D., Carlsson, Jeanette E. L., Carlsson, Jens
Format: Article in Journal/Newspaper
Language:unknown
Published: Figshare 2016
Subjects:
Online Access:https://dx.doi.org/10.6084/m9.figshare.c.3584042.v1
https://figshare.com/collections/Supplementary_material_from_Next_Gen_Pop_Gen_implementing_a_high-throughput_approach_to_population_genetics_in_boarfish_i_Capros_aper_i_/3584042/1
id ftdatacite:10.6084/m9.figshare.c.3584042.v1
record_format openpolar
spelling ftdatacite:10.6084/m9.figshare.c.3584042.v1 2023-05-15T17:41:23+02:00 Supplementary material from "Next Gen Pop Gen: implementing a high-throughput approach to population genetics in boarfish ( Capros aper )" Farrell, Edward D. Carlsson, Jeanette E. L. Carlsson, Jens 2016 https://dx.doi.org/10.6084/m9.figshare.c.3584042.v1 https://figshare.com/collections/Supplementary_material_from_Next_Gen_Pop_Gen_implementing_a_high-throughput_approach_to_population_genetics_in_boarfish_i_Capros_aper_i_/3584042/1 unknown Figshare https://dx.doi.org/10.1098/rsos.160651 https://dx.doi.org/10.6084/m9.figshare.c.3584042 CC-BY https://creativecommons.org/licenses/by/4.0 CC-BY Genetics FOS Biological sciences Molecular Biology Ecology Collection article 2016 ftdatacite https://doi.org/10.6084/m9.figshare.c.3584042.v1 https://doi.org/10.1098/rsos.160651 https://doi.org/10.6084/m9.figshare.c.3584042 2021-11-05T12:55:41Z The recently developed approach for microsatellite genotyping by sequencing (GBS) using individual combinatorial barcoding was further improved and used to assess the genetic population structure of boarfish ( Capros aper ) across the species' range. Microsatellite loci were developed de novo and genotyped by next-generation sequencing. Genetic analyses of the samples indicated that boarfish can be subdivided into at least seven biological units (populations) across the species' range. Furthermore, the recent apparent increase in abundance in the northeast Atlantic is better explained by demographic changes within this area than by influx from southern or insular populations. This study clearly shows that the microsatellite GBS approach is a generic, cost-effective, rapid and powerful method suitable for full-scale population genetic studies—a crucial element for assessment, sustainable management and conservation of valuable biological resources. Article in Journal/Newspaper Northeast Atlantic DataCite Metadata Store (German National Library of Science and Technology)
institution Open Polar
collection DataCite Metadata Store (German National Library of Science and Technology)
op_collection_id ftdatacite
language unknown
topic Genetics
FOS Biological sciences
Molecular Biology
Ecology
spellingShingle Genetics
FOS Biological sciences
Molecular Biology
Ecology
Farrell, Edward D.
Carlsson, Jeanette E. L.
Carlsson, Jens
Supplementary material from "Next Gen Pop Gen: implementing a high-throughput approach to population genetics in boarfish ( Capros aper )"
topic_facet Genetics
FOS Biological sciences
Molecular Biology
Ecology
description The recently developed approach for microsatellite genotyping by sequencing (GBS) using individual combinatorial barcoding was further improved and used to assess the genetic population structure of boarfish ( Capros aper ) across the species' range. Microsatellite loci were developed de novo and genotyped by next-generation sequencing. Genetic analyses of the samples indicated that boarfish can be subdivided into at least seven biological units (populations) across the species' range. Furthermore, the recent apparent increase in abundance in the northeast Atlantic is better explained by demographic changes within this area than by influx from southern or insular populations. This study clearly shows that the microsatellite GBS approach is a generic, cost-effective, rapid and powerful method suitable for full-scale population genetic studies—a crucial element for assessment, sustainable management and conservation of valuable biological resources.
format Article in Journal/Newspaper
author Farrell, Edward D.
Carlsson, Jeanette E. L.
Carlsson, Jens
author_facet Farrell, Edward D.
Carlsson, Jeanette E. L.
Carlsson, Jens
author_sort Farrell, Edward D.
title Supplementary material from "Next Gen Pop Gen: implementing a high-throughput approach to population genetics in boarfish ( Capros aper )"
title_short Supplementary material from "Next Gen Pop Gen: implementing a high-throughput approach to population genetics in boarfish ( Capros aper )"
title_full Supplementary material from "Next Gen Pop Gen: implementing a high-throughput approach to population genetics in boarfish ( Capros aper )"
title_fullStr Supplementary material from "Next Gen Pop Gen: implementing a high-throughput approach to population genetics in boarfish ( Capros aper )"
title_full_unstemmed Supplementary material from "Next Gen Pop Gen: implementing a high-throughput approach to population genetics in boarfish ( Capros aper )"
title_sort supplementary material from "next gen pop gen: implementing a high-throughput approach to population genetics in boarfish ( capros aper )"
publisher Figshare
publishDate 2016
url https://dx.doi.org/10.6084/m9.figshare.c.3584042.v1
https://figshare.com/collections/Supplementary_material_from_Next_Gen_Pop_Gen_implementing_a_high-throughput_approach_to_population_genetics_in_boarfish_i_Capros_aper_i_/3584042/1
genre Northeast Atlantic
genre_facet Northeast Atlantic
op_relation https://dx.doi.org/10.1098/rsos.160651
https://dx.doi.org/10.6084/m9.figshare.c.3584042
op_rights CC-BY
https://creativecommons.org/licenses/by/4.0
op_rightsnorm CC-BY
op_doi https://doi.org/10.6084/m9.figshare.c.3584042.v1
https://doi.org/10.1098/rsos.160651
https://doi.org/10.6084/m9.figshare.c.3584042
_version_ 1766142908135636992