Assessing benthic meiofaunal community structure in the Alaskan Arctic: A high-throughput DNA sequencing approach, 2012-2014

Despite their importance to sediment biogeochemical processes and marine food webs, meiofauna are notoriously difficult to characterize because components of the fauna are poorly preserved in sediment samples, lack obvious morphological features, and are extremely small in size (~45 m – 1 mm); thus,...

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Main Authors: Sarah Hardy, Holly Bik
Format: Dataset
Language:unknown
Published: Research Workspace
Subjects:
Online Access:https://search.dataone.org/view/10.24431_rw1k473_20201111T012210Z
id dataone:10.24431_rw1k473_20201111T012210Z
record_format openpolar
spelling dataone:10.24431_rw1k473_20201111T012210Z 2024-06-03T18:46:39+00:00 Assessing benthic meiofaunal community structure in the Alaskan Arctic: A high-throughput DNA sequencing approach, 2012-2014 Sarah Hardy Holly Bik ENVELOPE(-167.564,-116.296,72.9285,69.3804) BEGINDATE: 2012-09-01T08:00:00Z ENDDATE: 2014-09-30T08:00:00Z 2020-11-11T01:22:11.661Z https://search.dataone.org/view/10.24431_rw1k473_20201111T012210Z unknown Research Workspace North Pacific Research Board 18S rRNA metagenomics nematodes taxonomy marine sediment North Pacific Research Board meiofauna high-throughput sequencing sediment communities environmental monitoring resource development Dataset dataone:urn:node:RW 2024-06-03T18:16:50Z Despite their importance to sediment biogeochemical processes and marine food webs, meiofauna are notoriously difficult to characterize because components of the fauna are poorly preserved in sediment samples, lack obvious morphological features, and are extremely small in size (~45 m – 1 mm); thus, they have been largely ignored in many regions including the Arctic. This dataset describes the first baseline surveys of benthic metazoan meiofauna in the Chukchi and Beaufort seas using high-throughput gene sequencing of environmental DNA extracts from sediment samples and demonstrates the utility of DNA-based approaches as an alternative to the standard microscopy techniques for rapid assessment of meiofaunal community structure. We used amplicon sequencing of the 18S rRNA gene to provide a baseline assessment of metazoan eukaryotic community structure in sediments from 120 locations distributed throughout the NE Chukchi and US and Canadian Beaufort Sea shelf and slope and generated a morphology-based inventory of the Nematoda at a subset of these sites based on expert taxonomic identifications. Morphology data was compared with the results of 18S amplicon surveys to determine that similar information is obtained through both approaches. Moreover, the Nematoda 18S dataset is correlated with the full Metazoa 18S dataset, suggesting this group may reflect important environmental drivers governing the assembly of whole communities in this region. The results presented here offer a broad overview of the taxonomic composition of the sequence dataset, and examine broad-scale regional patterns in community structure. Specific data types constituting this dataset include: matrices of Nematode genera recorded across sample sites; shotgun metagenomic sequence data generated in 2014 for 15 sample sites in the Beaufort Sea; environmental PCR amplicons targeting the 18S rRNA gene generated in Illumina MiSeq sequencing runs in 2014 and 2016; and PCR amplified partial 18S sequences amplified from 48 individual nematode specimens. Dataset Arctic Beaufort Sea Chukchi Research Workspace (via DataONE) Arctic Pacific ENVELOPE(-167.564,-116.296,72.9285,69.3804)
institution Open Polar
collection Research Workspace (via DataONE)
op_collection_id dataone:urn:node:RW
language unknown
topic North Pacific Research Board
18S rRNA
metagenomics
nematodes
taxonomy
marine sediment
North Pacific Research Board
meiofauna
high-throughput sequencing
sediment communities
environmental monitoring
resource development
spellingShingle North Pacific Research Board
18S rRNA
metagenomics
nematodes
taxonomy
marine sediment
North Pacific Research Board
meiofauna
high-throughput sequencing
sediment communities
environmental monitoring
resource development
Sarah Hardy
Holly Bik
Assessing benthic meiofaunal community structure in the Alaskan Arctic: A high-throughput DNA sequencing approach, 2012-2014
topic_facet North Pacific Research Board
18S rRNA
metagenomics
nematodes
taxonomy
marine sediment
North Pacific Research Board
meiofauna
high-throughput sequencing
sediment communities
environmental monitoring
resource development
description Despite their importance to sediment biogeochemical processes and marine food webs, meiofauna are notoriously difficult to characterize because components of the fauna are poorly preserved in sediment samples, lack obvious morphological features, and are extremely small in size (~45 m – 1 mm); thus, they have been largely ignored in many regions including the Arctic. This dataset describes the first baseline surveys of benthic metazoan meiofauna in the Chukchi and Beaufort seas using high-throughput gene sequencing of environmental DNA extracts from sediment samples and demonstrates the utility of DNA-based approaches as an alternative to the standard microscopy techniques for rapid assessment of meiofaunal community structure. We used amplicon sequencing of the 18S rRNA gene to provide a baseline assessment of metazoan eukaryotic community structure in sediments from 120 locations distributed throughout the NE Chukchi and US and Canadian Beaufort Sea shelf and slope and generated a morphology-based inventory of the Nematoda at a subset of these sites based on expert taxonomic identifications. Morphology data was compared with the results of 18S amplicon surveys to determine that similar information is obtained through both approaches. Moreover, the Nematoda 18S dataset is correlated with the full Metazoa 18S dataset, suggesting this group may reflect important environmental drivers governing the assembly of whole communities in this region. The results presented here offer a broad overview of the taxonomic composition of the sequence dataset, and examine broad-scale regional patterns in community structure. Specific data types constituting this dataset include: matrices of Nematode genera recorded across sample sites; shotgun metagenomic sequence data generated in 2014 for 15 sample sites in the Beaufort Sea; environmental PCR amplicons targeting the 18S rRNA gene generated in Illumina MiSeq sequencing runs in 2014 and 2016; and PCR amplified partial 18S sequences amplified from 48 individual nematode specimens.
format Dataset
author Sarah Hardy
Holly Bik
author_facet Sarah Hardy
Holly Bik
author_sort Sarah Hardy
title Assessing benthic meiofaunal community structure in the Alaskan Arctic: A high-throughput DNA sequencing approach, 2012-2014
title_short Assessing benthic meiofaunal community structure in the Alaskan Arctic: A high-throughput DNA sequencing approach, 2012-2014
title_full Assessing benthic meiofaunal community structure in the Alaskan Arctic: A high-throughput DNA sequencing approach, 2012-2014
title_fullStr Assessing benthic meiofaunal community structure in the Alaskan Arctic: A high-throughput DNA sequencing approach, 2012-2014
title_full_unstemmed Assessing benthic meiofaunal community structure in the Alaskan Arctic: A high-throughput DNA sequencing approach, 2012-2014
title_sort assessing benthic meiofaunal community structure in the alaskan arctic: a high-throughput dna sequencing approach, 2012-2014
publisher Research Workspace
publishDate
url https://search.dataone.org/view/10.24431_rw1k473_20201111T012210Z
op_coverage ENVELOPE(-167.564,-116.296,72.9285,69.3804)
BEGINDATE: 2012-09-01T08:00:00Z ENDDATE: 2014-09-30T08:00:00Z
long_lat ENVELOPE(-167.564,-116.296,72.9285,69.3804)
geographic Arctic
Pacific
geographic_facet Arctic
Pacific
genre Arctic
Beaufort Sea
Chukchi
genre_facet Arctic
Beaufort Sea
Chukchi
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