Data_Sheet_1_Contrasting Community Composition of Active Microbial Eukaryotes in Melt Ponds and Sea Water of the Arctic Ocean Revealed by High Throughput Sequencing.docx

Melt ponds (MPs), form as the result of thawing of snow and sea ice in the summer, have lower albedo than the sea ice and are thus partly responsible for the polar amplification of global warming. Knowing the community composition of MP organisms is key to understanding their roles in the biogeochem...

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Main Authors: Dapeng Xu, Hejun Kong, Eun-Jin Yang, Xinran Li, Nianzhi Jiao, Alan Warren, Ying Wang, Youngju Lee, Jinyoung Jung, Sung-Ho Kang
Format: Dataset
Language:unknown
Published: 2020
Subjects:
Online Access:https://doi.org/10.3389/fmicb.2020.01170.s001
https://figshare.com/articles/Data_Sheet_1_Contrasting_Community_Composition_of_Active_Microbial_Eukaryotes_in_Melt_Ponds_and_Sea_Water_of_the_Arctic_Ocean_Revealed_by_High_Throughput_Sequencing_docx/12436571
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spelling ftfrontimediafig:oai:figshare.com:article/12436571 2023-05-15T13:11:43+02:00 Data_Sheet_1_Contrasting Community Composition of Active Microbial Eukaryotes in Melt Ponds and Sea Water of the Arctic Ocean Revealed by High Throughput Sequencing.docx Dapeng Xu Hejun Kong Eun-Jin Yang Xinran Li Nianzhi Jiao Alan Warren Ying Wang Youngju Lee Jinyoung Jung Sung-Ho Kang 2020-06-05T14:13:30Z https://doi.org/10.3389/fmicb.2020.01170.s001 https://figshare.com/articles/Data_Sheet_1_Contrasting_Community_Composition_of_Active_Microbial_Eukaryotes_in_Melt_Ponds_and_Sea_Water_of_the_Arctic_Ocean_Revealed_by_High_Throughput_Sequencing_docx/12436571 unknown doi:10.3389/fmicb.2020.01170.s001 https://figshare.com/articles/Data_Sheet_1_Contrasting_Community_Composition_of_Active_Microbial_Eukaryotes_in_Melt_Ponds_and_Sea_Water_of_the_Arctic_Ocean_Revealed_by_High_Throughput_Sequencing_docx/12436571 CC BY 4.0 CC-BY Microbiology Microbial Genetics Microbial Ecology Mycology assembly mechanism community structure diversity high throughput cDNA sequencing protist 18S rRNA Dataset 2020 ftfrontimediafig https://doi.org/10.3389/fmicb.2020.01170.s001 2020-06-10T22:54:48Z Melt ponds (MPs), form as the result of thawing of snow and sea ice in the summer, have lower albedo than the sea ice and are thus partly responsible for the polar amplification of global warming. Knowing the community composition of MP organisms is key to understanding their roles in the biogeochemical cycles of nutrients and elements. However, the community composition of MP microbial eukaryotes has rarely been studied. In the present study, we assessed the microbial eukaryote biodiversity, community composition, and assembly processes in MPs and surface sea water (SW) using high throughput sequencing of 18S rRNA of size-fractionated samples. Alpha diversity estimates were lower in the MPs than SW across all size fractions. The community composition of MPs was significantly different from that of SW. The MP communities were dominated by members from Chrysophyceae, the ciliate classes Litostomatea and Spirotrichea, and the cercozoan groups Filosa-Thecofilosea. One open MP community was similar to SW communities, which was probably due to the advanced stage of development of the MP enabling the exchange of species between it and adjacent SW. High portions of shared species between MPs and SW may indicate the vigorous exchange of species between these two major types of environments in the Arctic Ocean. SW microbial eukaryote communities are mainly controlled by dispersal limitation whereas those of MP are mainly controlled by ecological drift. Dataset albedo Arctic Arctic Ocean Global warming Sea ice Frontiers: Figshare Arctic Arctic Ocean
institution Open Polar
collection Frontiers: Figshare
op_collection_id ftfrontimediafig
language unknown
topic Microbiology
Microbial Genetics
Microbial Ecology
Mycology
assembly mechanism
community structure
diversity
high throughput cDNA sequencing
protist
18S rRNA
spellingShingle Microbiology
Microbial Genetics
Microbial Ecology
Mycology
assembly mechanism
community structure
diversity
high throughput cDNA sequencing
protist
18S rRNA
Dapeng Xu
Hejun Kong
Eun-Jin Yang
Xinran Li
Nianzhi Jiao
Alan Warren
Ying Wang
Youngju Lee
Jinyoung Jung
Sung-Ho Kang
Data_Sheet_1_Contrasting Community Composition of Active Microbial Eukaryotes in Melt Ponds and Sea Water of the Arctic Ocean Revealed by High Throughput Sequencing.docx
topic_facet Microbiology
Microbial Genetics
Microbial Ecology
Mycology
assembly mechanism
community structure
diversity
high throughput cDNA sequencing
protist
18S rRNA
description Melt ponds (MPs), form as the result of thawing of snow and sea ice in the summer, have lower albedo than the sea ice and are thus partly responsible for the polar amplification of global warming. Knowing the community composition of MP organisms is key to understanding their roles in the biogeochemical cycles of nutrients and elements. However, the community composition of MP microbial eukaryotes has rarely been studied. In the present study, we assessed the microbial eukaryote biodiversity, community composition, and assembly processes in MPs and surface sea water (SW) using high throughput sequencing of 18S rRNA of size-fractionated samples. Alpha diversity estimates were lower in the MPs than SW across all size fractions. The community composition of MPs was significantly different from that of SW. The MP communities were dominated by members from Chrysophyceae, the ciliate classes Litostomatea and Spirotrichea, and the cercozoan groups Filosa-Thecofilosea. One open MP community was similar to SW communities, which was probably due to the advanced stage of development of the MP enabling the exchange of species between it and adjacent SW. High portions of shared species between MPs and SW may indicate the vigorous exchange of species between these two major types of environments in the Arctic Ocean. SW microbial eukaryote communities are mainly controlled by dispersal limitation whereas those of MP are mainly controlled by ecological drift.
format Dataset
author Dapeng Xu
Hejun Kong
Eun-Jin Yang
Xinran Li
Nianzhi Jiao
Alan Warren
Ying Wang
Youngju Lee
Jinyoung Jung
Sung-Ho Kang
author_facet Dapeng Xu
Hejun Kong
Eun-Jin Yang
Xinran Li
Nianzhi Jiao
Alan Warren
Ying Wang
Youngju Lee
Jinyoung Jung
Sung-Ho Kang
author_sort Dapeng Xu
title Data_Sheet_1_Contrasting Community Composition of Active Microbial Eukaryotes in Melt Ponds and Sea Water of the Arctic Ocean Revealed by High Throughput Sequencing.docx
title_short Data_Sheet_1_Contrasting Community Composition of Active Microbial Eukaryotes in Melt Ponds and Sea Water of the Arctic Ocean Revealed by High Throughput Sequencing.docx
title_full Data_Sheet_1_Contrasting Community Composition of Active Microbial Eukaryotes in Melt Ponds and Sea Water of the Arctic Ocean Revealed by High Throughput Sequencing.docx
title_fullStr Data_Sheet_1_Contrasting Community Composition of Active Microbial Eukaryotes in Melt Ponds and Sea Water of the Arctic Ocean Revealed by High Throughput Sequencing.docx
title_full_unstemmed Data_Sheet_1_Contrasting Community Composition of Active Microbial Eukaryotes in Melt Ponds and Sea Water of the Arctic Ocean Revealed by High Throughput Sequencing.docx
title_sort data_sheet_1_contrasting community composition of active microbial eukaryotes in melt ponds and sea water of the arctic ocean revealed by high throughput sequencing.docx
publishDate 2020
url https://doi.org/10.3389/fmicb.2020.01170.s001
https://figshare.com/articles/Data_Sheet_1_Contrasting_Community_Composition_of_Active_Microbial_Eukaryotes_in_Melt_Ponds_and_Sea_Water_of_the_Arctic_Ocean_Revealed_by_High_Throughput_Sequencing_docx/12436571
geographic Arctic
Arctic Ocean
geographic_facet Arctic
Arctic Ocean
genre albedo
Arctic
Arctic Ocean
Global warming
Sea ice
genre_facet albedo
Arctic
Arctic Ocean
Global warming
Sea ice
op_relation doi:10.3389/fmicb.2020.01170.s001
https://figshare.com/articles/Data_Sheet_1_Contrasting_Community_Composition_of_Active_Microbial_Eukaryotes_in_Melt_Ponds_and_Sea_Water_of_the_Arctic_Ocean_Revealed_by_High_Throughput_Sequencing_docx/12436571
op_rights CC BY 4.0
op_rightsnorm CC-BY
op_doi https://doi.org/10.3389/fmicb.2020.01170.s001
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