Data from: Distribution and biogeography of Sanguina snow algae: fine-scale sequence analyses reveal previously unknown population structure ...

It has been previously suggested that snow algal species within the genus Sanguina (S. nivaloides and S. aurantia) show no population structure despite being found globally (S. nivaloides) or throughout the Northern Hemisphere (S. aurantia). However, systematic biogeographic research into global dis...

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Main Author: Brown, Shawn
Format: Dataset
Language:English
Published: Dryad 2020
Subjects:
Online Access:https://dx.doi.org/10.5061/dryad.pzgmsbcj3
https://datadryad.org/stash/dataset/doi:10.5061/dryad.pzgmsbcj3
id ftdatacite:10.5061/dryad.pzgmsbcj3
record_format openpolar
spelling ftdatacite:10.5061/dryad.pzgmsbcj3 2024-06-09T07:39:50+00:00 Data from: Distribution and biogeography of Sanguina snow algae: fine-scale sequence analyses reveal previously unknown population structure ... Brown, Shawn 2020 https://dx.doi.org/10.5061/dryad.pzgmsbcj3 https://datadryad.org/stash/dataset/doi:10.5061/dryad.pzgmsbcj3 en eng Dryad Creative Commons Zero v1.0 Universal https://creativecommons.org/publicdomain/zero/1.0/legalcode cc0-1.0 Snow Algae Sanguina MED Node Dataset dataset 2020 ftdatacite https://doi.org/10.5061/dryad.pzgmsbcj3 2024-05-13T11:09:56Z It has been previously suggested that snow algal species within the genus Sanguina (S. nivaloides and S. aurantia) show no population structure despite being found globally (S. nivaloides) or throughout the Northern Hemisphere (S. aurantia). However, systematic biogeographic research into global distributions is lacking due to few genetic and no genomic resources for these snow algae. Here, using all publicly available and previously unpublished Sanguina sequences of the Internal Transcribed Spacer 2 region, we investigate if this purported lack of population structure within Sanguina species is supported by additional evidence. Using a minimum entropy decomposition (MED) approach to examine fine-scale genetic population structure, we find that these snow algae populations are largely distinct regionally and have some interesting biogeographic structuring. This is in opposition to the currently accepted idea that Sanguina species lack any observable population structure across their vast ranges and ... : We analyzed all available and verified ITS2 sequences at the time of analysis from Sanguina species from GenBank, SRA, and supplemental information from associated publications. We chose to analyze the ITS2 region as opposed to 18S or other gene targets because ITS2 has the most available data and ITS regions have great potential for species level population analysis for algae (An et al. 1999). We gathered the following Sanger sequences: 56 sequences from Segawa et al. (2018) collected from Alaska (USA), Svalbard (Norway), and Antarctica; 48 sequences from Procházková et al. (2019) from Austria, Italy, Slovakia, Switzerland, Norway, Colorado (USA), Argentina, and Antarctica; 29 sequences (Brown, unpublished using the primers ITS1-ITS4) from Lyman Basin, Washington (USA; 48º10’21” N, 120º53’50” W, 1880 m asl) and Niwot Ridge, Colorado (USA; 40º02’56” N, 105º34’51” W, 3514 m asl). Further, we gathered locus-targeted Illumina MiSeq sequence data: 1,600 sequences (Brown et al. 2016) from Washington (USA) and ... Dataset Antarc* Antarctica Svalbard Alaska DataCite Metadata Store (German National Library of Science and Technology) Argentina Norway Svalbard
institution Open Polar
collection DataCite Metadata Store (German National Library of Science and Technology)
op_collection_id ftdatacite
language English
topic Snow Algae
Sanguina
MED Node
spellingShingle Snow Algae
Sanguina
MED Node
Brown, Shawn
Data from: Distribution and biogeography of Sanguina snow algae: fine-scale sequence analyses reveal previously unknown population structure ...
topic_facet Snow Algae
Sanguina
MED Node
description It has been previously suggested that snow algal species within the genus Sanguina (S. nivaloides and S. aurantia) show no population structure despite being found globally (S. nivaloides) or throughout the Northern Hemisphere (S. aurantia). However, systematic biogeographic research into global distributions is lacking due to few genetic and no genomic resources for these snow algae. Here, using all publicly available and previously unpublished Sanguina sequences of the Internal Transcribed Spacer 2 region, we investigate if this purported lack of population structure within Sanguina species is supported by additional evidence. Using a minimum entropy decomposition (MED) approach to examine fine-scale genetic population structure, we find that these snow algae populations are largely distinct regionally and have some interesting biogeographic structuring. This is in opposition to the currently accepted idea that Sanguina species lack any observable population structure across their vast ranges and ... : We analyzed all available and verified ITS2 sequences at the time of analysis from Sanguina species from GenBank, SRA, and supplemental information from associated publications. We chose to analyze the ITS2 region as opposed to 18S or other gene targets because ITS2 has the most available data and ITS regions have great potential for species level population analysis for algae (An et al. 1999). We gathered the following Sanger sequences: 56 sequences from Segawa et al. (2018) collected from Alaska (USA), Svalbard (Norway), and Antarctica; 48 sequences from Procházková et al. (2019) from Austria, Italy, Slovakia, Switzerland, Norway, Colorado (USA), Argentina, and Antarctica; 29 sequences (Brown, unpublished using the primers ITS1-ITS4) from Lyman Basin, Washington (USA; 48º10’21” N, 120º53’50” W, 1880 m asl) and Niwot Ridge, Colorado (USA; 40º02’56” N, 105º34’51” W, 3514 m asl). Further, we gathered locus-targeted Illumina MiSeq sequence data: 1,600 sequences (Brown et al. 2016) from Washington (USA) and ...
format Dataset
author Brown, Shawn
author_facet Brown, Shawn
author_sort Brown, Shawn
title Data from: Distribution and biogeography of Sanguina snow algae: fine-scale sequence analyses reveal previously unknown population structure ...
title_short Data from: Distribution and biogeography of Sanguina snow algae: fine-scale sequence analyses reveal previously unknown population structure ...
title_full Data from: Distribution and biogeography of Sanguina snow algae: fine-scale sequence analyses reveal previously unknown population structure ...
title_fullStr Data from: Distribution and biogeography of Sanguina snow algae: fine-scale sequence analyses reveal previously unknown population structure ...
title_full_unstemmed Data from: Distribution and biogeography of Sanguina snow algae: fine-scale sequence analyses reveal previously unknown population structure ...
title_sort data from: distribution and biogeography of sanguina snow algae: fine-scale sequence analyses reveal previously unknown population structure ...
publisher Dryad
publishDate 2020
url https://dx.doi.org/10.5061/dryad.pzgmsbcj3
https://datadryad.org/stash/dataset/doi:10.5061/dryad.pzgmsbcj3
geographic Argentina
Norway
Svalbard
geographic_facet Argentina
Norway
Svalbard
genre Antarc*
Antarctica
Svalbard
Alaska
genre_facet Antarc*
Antarctica
Svalbard
Alaska
op_rights Creative Commons Zero v1.0 Universal
https://creativecommons.org/publicdomain/zero/1.0/legalcode
cc0-1.0
op_doi https://doi.org/10.5061/dryad.pzgmsbcj3
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