Genome-scale target capture of mitochondrial and nuclear environmental DNA from water samples.


Journal

Molecular ecology resources
ISSN: 1755-0998
Titre abrégé: Mol Ecol Resour
Pays: England
ID NLM: 101465604

Informations de publication

Date de publication:
Apr 2021
Historique:
received: 07 07 2020
revised: 23 10 2020
accepted: 02 11 2020
pubmed: 13 11 2020
medline: 18 8 2021
entrez: 12 11 2020
Statut: ppublish

Résumé

Environmental DNA (eDNA) provides a promising supplement to traditional sampling methods for population genetic inferences, but current studies have almost entirely focused on short mitochondrial markers. Here, we develop one mitochondrial and one nuclear set of target capture probes for the whale shark (Rhincodon typus) and test them on seawater samples collected in Qatar to investigate the potential of target capture for eDNA-based population studies. The mitochondrial target capture successfully retrieved ~235× (90× - 352× per base position) coverage of the whale shark mitogenome. Using a minor allele frequency of 5%, we find 29 variable sites throughout the mitogenome, indicative of at least five contributing individuals. We also retrieved numerous mitochondrial reads from an abundant nontarget species, mackerel tuna (Euthynnus affinis), showing a clear relationship between sequence similarity to the capture probes and the number of captured reads. The nuclear target capture probes retrieved only a few reads and polymorphic variants from the whale shark, but we successfully obtained millions of reads and thousands of polymorphic variants with different allele frequencies from E. affinis. We demonstrate that target capture of complete mitochondrial genomes and thousands of nuclear loci is possible from aquatic eDNA samples. Our results highlight that careful probe design, taking into account the range of divergence between target and nontarget sequences as well as presence of nontarget species at the sampling site, is crucial to consider. eDNA sampling coupled with target capture approaches provide an efficient means with which to retrieve population genomic data from aggregating and spawning aquatic species.

Identifiants

pubmed: 33179423
doi: 10.1111/1755-0998.13293
pmc: PMC7983877
doi:

Substances chimiques

DNA Probes 0
DNA, Environmental 0
DNA, Mitochondrial 0

Banques de données

GENBANK
['JN086155', 'AP012949', 'AP006034']

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

690-702

Subventions

Organisme : Carlsbergfondet
Organisme : Aarhus Universitet
Organisme : Maersk Oil

Informations de copyright

© 2020 The Authors. Molecular Ecology Resources published by John Wiley & Sons Ltd.

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Auteurs

Mads Reinholdt Jensen (MR)

Department of Biology, Aarhus University, Aarhus C, Denmark.

Eva Egelyng Sigsgaard (EE)

Department of Biology, Aarhus University, Aarhus C, Denmark.

Shenglin Liu (S)

Department of Biology, Aarhus University, Aarhus C, Denmark.

Andrea Manica (A)

Department of Zoology, University of Cambridge, Cambridge, UK.

Steffen Sanvig Bach (SS)

Rambøll, Copenhagen S, Denmark.

Michael Møller Hansen (MM)

Department of Biology, Aarhus University, Aarhus C, Denmark.

Peter Rask Møller (PR)

Natural History Museum of Denmark, University of Copenhagen, Copenhagen Ø, Denmark.

Philip Francis Thomsen (PF)

Department of Biology, Aarhus University, Aarhus C, Denmark.

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Classifications MeSH