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Comparison of de novo and reference genome-based transcriptome assembly pipelines for differential expression analysis of RNA sequencing data

View ORCID ProfileRebekah A. Oomen, View ORCID ProfileHalvor Knutsen, View ORCID ProfileEsben M. Olsen, View ORCID ProfileSissel Jentoft, View ORCID ProfileNils Chr. Stenseth, View ORCID ProfileJeffrey A. Hutchings
doi: https://doi.org/10.1101/2022.08.20.504634
Rebekah A. Oomen
1Centre for Ecological and Evolutionary Synthesis (CEES), Department of Biosciences, University of Oslo, 0371 Oslo, Norway
2Center for Coastal Research (CCR), Department of Natural Sciences, University of Agder, 4604 Kristiansand, Norway
3Institute of Marine Research, Flødevigen, 4817 His, Norway
4Department of Biology, Dalhousie University, Halifax, NS B3H 4J1, Canada
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  • For correspondence: rebekahoomen@gmail.com
Halvor Knutsen
2Center for Coastal Research (CCR), Department of Natural Sciences, University of Agder, 4604 Kristiansand, Norway
3Institute of Marine Research, Flødevigen, 4817 His, Norway
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Esben M. Olsen
2Center for Coastal Research (CCR), Department of Natural Sciences, University of Agder, 4604 Kristiansand, Norway
3Institute of Marine Research, Flødevigen, 4817 His, Norway
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Sissel Jentoft
1Centre for Ecological and Evolutionary Synthesis (CEES), Department of Biosciences, University of Oslo, 0371 Oslo, Norway
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Nils Chr. Stenseth
1Centre for Ecological and Evolutionary Synthesis (CEES), Department of Biosciences, University of Oslo, 0371 Oslo, Norway
2Center for Coastal Research (CCR), Department of Natural Sciences, University of Agder, 4604 Kristiansand, Norway
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Jeffrey A. Hutchings
2Center for Coastal Research (CCR), Department of Natural Sciences, University of Agder, 4604 Kristiansand, Norway
3Institute of Marine Research, Flødevigen, 4817 His, Norway
4Department of Biology, Dalhousie University, Halifax, NS B3H 4J1, Canada
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Abstract

Objective As sequencing technologies become more accessible and bioinformatic tools improve, genomic resources are increasingly available for non-model species. Using a draft genome to guide transcriptome assembly from RNA sequencing data, rather than performing assembly de novo, affects downstream analyses. Yet, direct comparisons of these approaches are rare. Here, we compare the results of the standard de novo assembly pipeline (‘Trinity’) and two reference genome-based pipelines (‘Tuxedo’ and the ‘new Tuxedo’) for differential expression and gene ontology enrichment analysis of a companion study on Atlantic cod (Gadus morhua).

Results The new Tuxedo pipeline produced a higher quality assembly than the Tuxedo suite. However, greater enrichment of Trinity-identified differentially expressed genes suggests that a higher proportion of them represent biologically meaningful differences in transcription, as opposed to transcriptional noise or false positives. Coupled with the ability to annotate novel loci, the increased sensitivity of the Trinity pipeline might make it preferable over the reference genome-based approaches for studies aimed at broadly characterizing variation in the magnitude of expression differences and biological processes. However, the ‘new Tuxedo’ pipeline might be appropriate when a more conservative approach is warranted, such as for the identification of candidate genes.

Competing Interest Statement

The authors have declared no competing interest.

Footnotes

  • ↵rebekahoomen{at}gmail.com, halvor.knutsen{at}imr.no, esben.moland.olsen{at}imr.no, sissel.jentoft{at}ibv.uio.no, n.c.stenseth{at}ibv.uio.no

  • † Sadly, the co-author Jeffrey A. Hutchings died prior to submission of a revised version of this manuscript. He is deeply missed.

  • List of abbreviations
    DE
    differential expression
    dph
    days post hatch
    FPKM
    Fragments Per Kilobase Mapped
    CPM
    Counts Per Million
    GO
    Gene Ontology
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    Posted August 22, 2022.
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    Comparison of de novo and reference genome-based transcriptome assembly pipelines for differential expression analysis of RNA sequencing data
    Rebekah A. Oomen, Halvor Knutsen, Esben M. Olsen, Sissel Jentoft, Nils Chr. Stenseth, Jeffrey A. Hutchings
    bioRxiv 2022.08.20.504634; doi: https://doi.org/10.1101/2022.08.20.504634
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    Comparison of de novo and reference genome-based transcriptome assembly pipelines for differential expression analysis of RNA sequencing data
    Rebekah A. Oomen, Halvor Knutsen, Esben M. Olsen, Sissel Jentoft, Nils Chr. Stenseth, Jeffrey A. Hutchings
    bioRxiv 2022.08.20.504634; doi: https://doi.org/10.1101/2022.08.20.504634

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