SPIKEPIPE: A metagenomic pipeline for the accurate quantification of eukaryotic species occurrences and intraspecific abundance change using DNA barcodes or mitogenomes

The accurate quantification of eukaryotic species abundances from bulk samples remains a key challenge for community ecology and environmental biomonitoring. We resolve this challenge by combining shotgun sequencing, mapping to reference DNA barcodes or to mitogenomes, and three correction factors:...

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Main Authors: Ji, Yinqiu, Huotari, Tea, Roslin, Tomas, Schmidt, Niels Martin, Wang, Jiaxin, Yu, Douglas W., Ovaskainen, Otso
Format: Dataset
Language:unknown
Published: 2019
Subjects:
Online Access:https://zenodo.org/record/5006501
https://doi.org/10.5061/dryad.r105t1f
id ftzenodo:oai:zenodo.org:5006501
record_format openpolar
spelling ftzenodo:oai:zenodo.org:5006501 2023-09-05T13:17:51+02:00 SPIKEPIPE: A metagenomic pipeline for the accurate quantification of eukaryotic species occurrences and intraspecific abundance change using DNA barcodes or mitogenomes Ji, Yinqiu Huotari, Tea Roslin, Tomas Schmidt, Niels Martin Wang, Jiaxin Yu, Douglas W. Ovaskainen, Otso 2019-08-13 https://zenodo.org/record/5006501 https://doi.org/10.5061/dryad.r105t1f unknown https://zenodo.org/communities/dryad https://zenodo.org/record/5006501 https://doi.org/10.5061/dryad.r105t1f oai:zenodo.org:5006501 info:eu-repo/semantics/openAccess https://creativecommons.org/publicdomain/zero/1.0/legalcode Spilogona novaesibiriae Gonarcticus arcticus biomonitoring Mitogenomes Helophilus lapponicus Spilogona almqvistii Araneae Peleteria aenea Helophilus groenlandicus COI internal standard Drymeia segnis mitogenomics Spilogona micans Spilogona megastoma Scathophaga apicalis Limnophora groenlandica Pardosa glacialis Zaphne occidentalis Parasyrphus tarsatus Eutrichota tunicata Platycheirus groenlandicus Syrphus torvus Metagenomics Lophosceles minimus Spilogona monacantha Holocene Scathophaga nigripalpis Genetics Ecology Evolution Behavior and Systematics Biotechnology info:eu-repo/semantics/other dataset 2019 ftzenodo https://doi.org/10.5061/dryad.r105t1f 2023-08-22T22:58:39Z The accurate quantification of eukaryotic species abundances from bulk samples remains a key challenge for community ecology and environmental biomonitoring. We resolve this challenge by combining shotgun sequencing, mapping to reference DNA barcodes or to mitogenomes, and three correction factors: (a) a percent‐coverage threshold to filter out false positives, (b) an internal‐standard DNA spike‐in to correct for stochasticity during sequencing, and (c) technical replicates to correct for stochasticity across sequencing runs. The SPIKEPIPE pipeline achieves a strikingly high accuracy of intraspecific abundance estimates (in terms of DNA mass) from samples of known composition (mapping to barcodes R2 = .93, mitogenomes R2 = .95) and a high repeatability across environmental‐sample replicates (barcodes R2 = .94, mitogenomes R2 = .93). As proof of concept, we sequence arthropod samples from the High Arctic, systematically collected over 17 years, detecting changes in species richness, species‐specific abundances, and phenology. SPIKEPIPE provides cost‐efficient and reliable quantification of eukaryotic communities. ArcDyn_tutorial_20190126.tar.gz Text S6. How to run Step 4 (bioinformatics) of the SPIKEPIPE pipeline. Here we describe how to the user may apply SPIKEPIPE pipeline to a subset of the data used in this paper, henceforth called ArcDyn tutorial. To install the ArcDyn tutorial, download and untar the 4.9 GB tutorial file (ArcDyn_tutorial_20190126.tar.gz) to the root directory. Funding provided by: National Natural Science Foundation of ChinaCrossref Funder Registry ID: http://dx.doi.org/10.13039/501100001809Award Number: 31400470Funding provided by: National Natural Science Foundation of ChinaCrossref Funder Registry ID: http://dx.doi.org/10.13039/501100001809Award Number: 31500305Funding provided by: National Natural Science Foundation of ChinaCrossref Funder Registry ID: http://dx.doi.org/10.13039/501100001809Award Number: 31670536Funding provided by: National Natural Science Foundation of ChinaCrossref ... Dataset Arctic Zenodo Arctic
institution Open Polar
collection Zenodo
op_collection_id ftzenodo
language unknown
topic Spilogona novaesibiriae
Gonarcticus arcticus
biomonitoring
Mitogenomes
Helophilus lapponicus
Spilogona almqvistii
Araneae
Peleteria aenea
Helophilus groenlandicus
COI internal standard
Drymeia segnis
mitogenomics
Spilogona micans
Spilogona megastoma
Scathophaga apicalis
Limnophora groenlandica
Pardosa glacialis
Zaphne occidentalis
Parasyrphus tarsatus
Eutrichota tunicata
Platycheirus groenlandicus
Syrphus torvus
Metagenomics
Lophosceles minimus
Spilogona monacantha
Holocene
Scathophaga nigripalpis
Genetics
Ecology
Evolution
Behavior and Systematics
Biotechnology
spellingShingle Spilogona novaesibiriae
Gonarcticus arcticus
biomonitoring
Mitogenomes
Helophilus lapponicus
Spilogona almqvistii
Araneae
Peleteria aenea
Helophilus groenlandicus
COI internal standard
Drymeia segnis
mitogenomics
Spilogona micans
Spilogona megastoma
Scathophaga apicalis
Limnophora groenlandica
Pardosa glacialis
Zaphne occidentalis
Parasyrphus tarsatus
Eutrichota tunicata
Platycheirus groenlandicus
Syrphus torvus
Metagenomics
Lophosceles minimus
Spilogona monacantha
Holocene
Scathophaga nigripalpis
Genetics
Ecology
Evolution
Behavior and Systematics
Biotechnology
Ji, Yinqiu
Huotari, Tea
Roslin, Tomas
Schmidt, Niels Martin
Wang, Jiaxin
Yu, Douglas W.
Ovaskainen, Otso
SPIKEPIPE: A metagenomic pipeline for the accurate quantification of eukaryotic species occurrences and intraspecific abundance change using DNA barcodes or mitogenomes
topic_facet Spilogona novaesibiriae
Gonarcticus arcticus
biomonitoring
Mitogenomes
Helophilus lapponicus
Spilogona almqvistii
Araneae
Peleteria aenea
Helophilus groenlandicus
COI internal standard
Drymeia segnis
mitogenomics
Spilogona micans
Spilogona megastoma
Scathophaga apicalis
Limnophora groenlandica
Pardosa glacialis
Zaphne occidentalis
Parasyrphus tarsatus
Eutrichota tunicata
Platycheirus groenlandicus
Syrphus torvus
Metagenomics
Lophosceles minimus
Spilogona monacantha
Holocene
Scathophaga nigripalpis
Genetics
Ecology
Evolution
Behavior and Systematics
Biotechnology
description The accurate quantification of eukaryotic species abundances from bulk samples remains a key challenge for community ecology and environmental biomonitoring. We resolve this challenge by combining shotgun sequencing, mapping to reference DNA barcodes or to mitogenomes, and three correction factors: (a) a percent‐coverage threshold to filter out false positives, (b) an internal‐standard DNA spike‐in to correct for stochasticity during sequencing, and (c) technical replicates to correct for stochasticity across sequencing runs. The SPIKEPIPE pipeline achieves a strikingly high accuracy of intraspecific abundance estimates (in terms of DNA mass) from samples of known composition (mapping to barcodes R2 = .93, mitogenomes R2 = .95) and a high repeatability across environmental‐sample replicates (barcodes R2 = .94, mitogenomes R2 = .93). As proof of concept, we sequence arthropod samples from the High Arctic, systematically collected over 17 years, detecting changes in species richness, species‐specific abundances, and phenology. SPIKEPIPE provides cost‐efficient and reliable quantification of eukaryotic communities. ArcDyn_tutorial_20190126.tar.gz Text S6. How to run Step 4 (bioinformatics) of the SPIKEPIPE pipeline. Here we describe how to the user may apply SPIKEPIPE pipeline to a subset of the data used in this paper, henceforth called ArcDyn tutorial. To install the ArcDyn tutorial, download and untar the 4.9 GB tutorial file (ArcDyn_tutorial_20190126.tar.gz) to the root directory. Funding provided by: National Natural Science Foundation of ChinaCrossref Funder Registry ID: http://dx.doi.org/10.13039/501100001809Award Number: 31400470Funding provided by: National Natural Science Foundation of ChinaCrossref Funder Registry ID: http://dx.doi.org/10.13039/501100001809Award Number: 31500305Funding provided by: National Natural Science Foundation of ChinaCrossref Funder Registry ID: http://dx.doi.org/10.13039/501100001809Award Number: 31670536Funding provided by: National Natural Science Foundation of ChinaCrossref ...
format Dataset
author Ji, Yinqiu
Huotari, Tea
Roslin, Tomas
Schmidt, Niels Martin
Wang, Jiaxin
Yu, Douglas W.
Ovaskainen, Otso
author_facet Ji, Yinqiu
Huotari, Tea
Roslin, Tomas
Schmidt, Niels Martin
Wang, Jiaxin
Yu, Douglas W.
Ovaskainen, Otso
author_sort Ji, Yinqiu
title SPIKEPIPE: A metagenomic pipeline for the accurate quantification of eukaryotic species occurrences and intraspecific abundance change using DNA barcodes or mitogenomes
title_short SPIKEPIPE: A metagenomic pipeline for the accurate quantification of eukaryotic species occurrences and intraspecific abundance change using DNA barcodes or mitogenomes
title_full SPIKEPIPE: A metagenomic pipeline for the accurate quantification of eukaryotic species occurrences and intraspecific abundance change using DNA barcodes or mitogenomes
title_fullStr SPIKEPIPE: A metagenomic pipeline for the accurate quantification of eukaryotic species occurrences and intraspecific abundance change using DNA barcodes or mitogenomes
title_full_unstemmed SPIKEPIPE: A metagenomic pipeline for the accurate quantification of eukaryotic species occurrences and intraspecific abundance change using DNA barcodes or mitogenomes
title_sort spikepipe: a metagenomic pipeline for the accurate quantification of eukaryotic species occurrences and intraspecific abundance change using dna barcodes or mitogenomes
publishDate 2019
url https://zenodo.org/record/5006501
https://doi.org/10.5061/dryad.r105t1f
geographic Arctic
geographic_facet Arctic
genre Arctic
genre_facet Arctic
op_relation https://zenodo.org/communities/dryad
https://zenodo.org/record/5006501
https://doi.org/10.5061/dryad.r105t1f
oai:zenodo.org:5006501
op_rights info:eu-repo/semantics/openAccess
https://creativecommons.org/publicdomain/zero/1.0/legalcode
op_doi https://doi.org/10.5061/dryad.r105t1f
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