SNPs reveal geographical population structure of Corallina officinalis (Corallinaceae, Rhodophyta)
We present the first population genetics study of the calcifying coralline alga and ecosystem engineer Corallina officinalis . Eleven novel SNP markers were developed and tested using Kompetitive Allele Specific PCR (KASP) genotyping to assess the population structure based on five sites around the...
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2018
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ftdatacite:10.6084/m9.figshare.5841174 2023-05-15T16:50:08+02:00 SNPs reveal geographical population structure of Corallina officinalis (Corallinaceae, Rhodophyta) Yesson, Chris Jackson, Amy Russell, Stephen Williamson, Christopher J. Brodie, Juliet 2018 https://dx.doi.org/10.6084/m9.figshare.5841174 https://tandf.figshare.com/articles/SNPs_reveal_geographical_population_structure_of_i_Corallina_officinalis_i_Corallinaceae_Rhodophyta_/5841174 unknown Taylor & Francis https://dx.doi.org/10.1080/09670262.2017.1402373 Creative Commons Attribution 4.0 International https://creativecommons.org/licenses/by/4.0/legalcode cc-by-4.0 CC-BY Genetics FOS Biological sciences Evolutionary Biology 59999 Environmental Sciences not elsewhere classified FOS Earth and related environmental sciences Ecology 69999 Biological Sciences not elsewhere classified Inorganic Chemistry FOS Chemical sciences Plant Biology Text article-journal Journal contribution ScholarlyArticle 2018 ftdatacite https://doi.org/10.6084/m9.figshare.5841174 https://doi.org/10.1080/09670262.2017.1402373 2021-11-05T12:55:41Z We present the first population genetics study of the calcifying coralline alga and ecosystem engineer Corallina officinalis . Eleven novel SNP markers were developed and tested using Kompetitive Allele Specific PCR (KASP) genotyping to assess the population structure based on five sites around the NE Atlantic (Iceland, three UK sites and Spain), spanning a wide latitudinal range of the species’ distribution. We examined population genetic patterns over the region using discriminate analysis of principal components (DAPC). All populations showed significant genetic differentiation, with a marginally insignificant pattern of isolation by distance (IBD) identified. The Icelandic population was most isolated, but still had genotypes in common with the population in Spain. The SNP markers presented here provide useful tools to assess the population connectivity of C. officinalis . This study is amongst the first to use SNPs on macroalgae and represents a significant step towards understanding the population structure of a widespread, habitat-forming coralline alga in the NE Atlantic. Text Iceland DataCite Metadata Store (German National Library of Science and Technology) |
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Open Polar |
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DataCite Metadata Store (German National Library of Science and Technology) |
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language |
unknown |
topic |
Genetics FOS Biological sciences Evolutionary Biology 59999 Environmental Sciences not elsewhere classified FOS Earth and related environmental sciences Ecology 69999 Biological Sciences not elsewhere classified Inorganic Chemistry FOS Chemical sciences Plant Biology |
spellingShingle |
Genetics FOS Biological sciences Evolutionary Biology 59999 Environmental Sciences not elsewhere classified FOS Earth and related environmental sciences Ecology 69999 Biological Sciences not elsewhere classified Inorganic Chemistry FOS Chemical sciences Plant Biology Yesson, Chris Jackson, Amy Russell, Stephen Williamson, Christopher J. Brodie, Juliet SNPs reveal geographical population structure of Corallina officinalis (Corallinaceae, Rhodophyta) |
topic_facet |
Genetics FOS Biological sciences Evolutionary Biology 59999 Environmental Sciences not elsewhere classified FOS Earth and related environmental sciences Ecology 69999 Biological Sciences not elsewhere classified Inorganic Chemistry FOS Chemical sciences Plant Biology |
description |
We present the first population genetics study of the calcifying coralline alga and ecosystem engineer Corallina officinalis . Eleven novel SNP markers were developed and tested using Kompetitive Allele Specific PCR (KASP) genotyping to assess the population structure based on five sites around the NE Atlantic (Iceland, three UK sites and Spain), spanning a wide latitudinal range of the species’ distribution. We examined population genetic patterns over the region using discriminate analysis of principal components (DAPC). All populations showed significant genetic differentiation, with a marginally insignificant pattern of isolation by distance (IBD) identified. The Icelandic population was most isolated, but still had genotypes in common with the population in Spain. The SNP markers presented here provide useful tools to assess the population connectivity of C. officinalis . This study is amongst the first to use SNPs on macroalgae and represents a significant step towards understanding the population structure of a widespread, habitat-forming coralline alga in the NE Atlantic. |
format |
Text |
author |
Yesson, Chris Jackson, Amy Russell, Stephen Williamson, Christopher J. Brodie, Juliet |
author_facet |
Yesson, Chris Jackson, Amy Russell, Stephen Williamson, Christopher J. Brodie, Juliet |
author_sort |
Yesson, Chris |
title |
SNPs reveal geographical population structure of Corallina officinalis (Corallinaceae, Rhodophyta) |
title_short |
SNPs reveal geographical population structure of Corallina officinalis (Corallinaceae, Rhodophyta) |
title_full |
SNPs reveal geographical population structure of Corallina officinalis (Corallinaceae, Rhodophyta) |
title_fullStr |
SNPs reveal geographical population structure of Corallina officinalis (Corallinaceae, Rhodophyta) |
title_full_unstemmed |
SNPs reveal geographical population structure of Corallina officinalis (Corallinaceae, Rhodophyta) |
title_sort |
snps reveal geographical population structure of corallina officinalis (corallinaceae, rhodophyta) |
publisher |
Taylor & Francis |
publishDate |
2018 |
url |
https://dx.doi.org/10.6084/m9.figshare.5841174 https://tandf.figshare.com/articles/SNPs_reveal_geographical_population_structure_of_i_Corallina_officinalis_i_Corallinaceae_Rhodophyta_/5841174 |
genre |
Iceland |
genre_facet |
Iceland |
op_relation |
https://dx.doi.org/10.1080/09670262.2017.1402373 |
op_rights |
Creative Commons Attribution 4.0 International https://creativecommons.org/licenses/by/4.0/legalcode cc-by-4.0 |
op_rightsnorm |
CC-BY |
op_doi |
https://doi.org/10.6084/m9.figshare.5841174 https://doi.org/10.1080/09670262.2017.1402373 |
_version_ |
1766040306496569344 |