In silico and empirical evaluation of twelve metabarcoding primer sets for insectivorous diet analyses.
Saved in:
| Title: | In silico and empirical evaluation of twelve metabarcoding primer sets for insectivorous diet analyses. |
|---|---|
| Authors: | Tournayre, Orianne1 (AUTHOR) orianne.tournayre@supagro.fr, Leuchtmann, Maxime2 (AUTHOR), Filippi‐Codaccioni, Ondine3,4 (AUTHOR), Trillat, Marine1 (AUTHOR), Piry, Sylvain1 (AUTHOR), Pontier, Dominique3,4 (AUTHOR), Charbonnel, Nathalie1 (AUTHOR), Galan, Maxime1 (AUTHOR) |
| Source: | Ecology & Evolution (20457758). Jul2020, Vol. 10 Issue 13, p6310-6332. 23p. |
| Subject Terms: | *Animal nutrition, *Arthropoda, DNA primers, Horseshoe bats, Bats, Predation, Unmarried couples |
| Abstract: | During the most recent decade, environmental DNA metabarcoding approaches have been both developed and improved to minimize the biological and technical biases in these protocols. However, challenges remain, notably those relating to primer design. In the current study, we comprehensively assessed the performance of ten COI and two 16S primer pairs for eDNA metabarcoding, including novel and previously published primers. We used a combined approach of in silico, in vivo‐mock community (33 arthropod taxa from 16 orders), and guano‐based analyses to identify primer sets that would maximize arthropod detection and taxonomic identification, successfully identify the predator (bat) species, and minimize the time and financial costs of the experiment. We focused on two insectivorous bat species that live together in mixed colonies: the greater horseshoe bat (Rhinolophus ferrumequinum) and Geoffroy's bat (Myotis emarginatus). We found that primer degeneracy is the main factor that influences arthropod detection in silico and mock community analyses, while amplicon length is critical for the detection of arthropods from degraded DNA samples. Our guano‐based results highlight the importance of detecting and identifying both predator and prey, as guano samples can be contaminated by other insectivorous species. Moreover, we demonstrate that amplifying bat DNA does not reduce the primers' capacity to detect arthropods. We therefore recommend the simultaneous identification of predator and prey. Finally, our results suggest that up to one‐third of prey occurrences may be unreliable and are probably not of primary interest in diet studies, which may decrease the relevance of combining several primer sets instead of using a single efficient one. In conclusion, this study provides a pragmatic framework for eDNA primer selection with respect to scientific and methodological constraints. [ABSTRACT FROM AUTHOR] |
| Copyright of Ecology & Evolution (20457758) is the property of Wiley-Blackwell and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.) | |
| Database: | GreenFILE |
| FullText | Text: Availability: 0 |
|---|---|
| Header | DbId: 8gh DbLabel: GreenFILE An: 144749410 AccessLevel: 6 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 0 |
| IllustrationInfo | |
| Items | – Name: Title Label: Title Group: Ti Data: In silico and empirical evaluation of twelve metabarcoding primer sets for insectivorous diet analyses. – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AR" term="%22Tournayre%2C+Orianne%22">Tournayre, Orianne</searchLink><relatesTo>1</relatesTo> (AUTHOR)<i> orianne.tournayre@supagro.fr</i><br /><searchLink fieldCode="AR" term="%22Leuchtmann%2C+Maxime%22">Leuchtmann, Maxime</searchLink><relatesTo>2</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Filippi‐Codaccioni%2C+Ondine%22">Filippi‐Codaccioni, Ondine</searchLink><relatesTo>3,4</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Trillat%2C+Marine%22">Trillat, Marine</searchLink><relatesTo>1</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Piry%2C+Sylvain%22">Piry, Sylvain</searchLink><relatesTo>1</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Pontier%2C+Dominique%22">Pontier, Dominique</searchLink><relatesTo>3,4</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Charbonnel%2C+Nathalie%22">Charbonnel, Nathalie</searchLink><relatesTo>1</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Galan%2C+Maxime%22">Galan, Maxime</searchLink><relatesTo>1</relatesTo> (AUTHOR) – Name: TitleSource Label: Source Group: Src Data: <searchLink fieldCode="JN" term="%22Ecology+%26+Evolution+%2820457758%29%22">Ecology & Evolution (20457758)</searchLink>. Jul2020, Vol. 10 Issue 13, p6310-6332. 23p. – Name: Subject Label: Subject Terms Group: Su Data: *<searchLink fieldCode="DE" term="%22Animal+nutrition%22">Animal nutrition</searchLink><br />*<searchLink fieldCode="DE" term="%22Arthropoda%22">Arthropoda</searchLink><br /><searchLink fieldCode="DE" term="%22DNA+primers%22">DNA primers</searchLink><br /><searchLink fieldCode="DE" term="%22Horseshoe+bats%22">Horseshoe bats</searchLink><br /><searchLink fieldCode="DE" term="%22Bats%22">Bats</searchLink><br /><searchLink fieldCode="DE" term="%22Predation%22">Predation</searchLink><br /><searchLink fieldCode="DE" term="%22Unmarried+couples%22">Unmarried couples</searchLink> – Name: Abstract Label: Abstract Group: Ab Data: During the most recent decade, environmental DNA metabarcoding approaches have been both developed and improved to minimize the biological and technical biases in these protocols. However, challenges remain, notably those relating to primer design. In the current study, we comprehensively assessed the performance of ten COI and two 16S primer pairs for eDNA metabarcoding, including novel and previously published primers. We used a combined approach of in silico, in vivo‐mock community (33 arthropod taxa from 16 orders), and guano‐based analyses to identify primer sets that would maximize arthropod detection and taxonomic identification, successfully identify the predator (bat) species, and minimize the time and financial costs of the experiment. We focused on two insectivorous bat species that live together in mixed colonies: the greater horseshoe bat (Rhinolophus ferrumequinum) and Geoffroy's bat (Myotis emarginatus). We found that primer degeneracy is the main factor that influences arthropod detection in silico and mock community analyses, while amplicon length is critical for the detection of arthropods from degraded DNA samples. Our guano‐based results highlight the importance of detecting and identifying both predator and prey, as guano samples can be contaminated by other insectivorous species. Moreover, we demonstrate that amplifying bat DNA does not reduce the primers' capacity to detect arthropods. We therefore recommend the simultaneous identification of predator and prey. Finally, our results suggest that up to one‐third of prey occurrences may be unreliable and are probably not of primary interest in diet studies, which may decrease the relevance of combining several primer sets instead of using a single efficient one. In conclusion, this study provides a pragmatic framework for eDNA primer selection with respect to scientific and methodological constraints. [ABSTRACT FROM AUTHOR] – Name: AbstractSuppliedCopyright Label: Group: Ab Data: <i>Copyright of Ecology & Evolution (20457758) is the property of Wiley-Blackwell and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.) |
| PLink | https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=8gh&AN=144749410 |
| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.1002/ece3.6362 Languages: – Code: eng Text: English PhysicalDescription: Pagination: PageCount: 23 StartPage: 6310 Subjects: – SubjectFull: Animal nutrition Type: general – SubjectFull: Arthropoda Type: general – SubjectFull: DNA primers Type: general – SubjectFull: Horseshoe bats Type: general – SubjectFull: Bats Type: general – SubjectFull: Predation Type: general – SubjectFull: Unmarried couples Type: general Titles: – TitleFull: In silico and empirical evaluation of twelve metabarcoding primer sets for insectivorous diet analyses. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Tournayre, Orianne – PersonEntity: Name: NameFull: Leuchtmann, Maxime – PersonEntity: Name: NameFull: Filippi‐Codaccioni, Ondine – PersonEntity: Name: NameFull: Trillat, Marine – PersonEntity: Name: NameFull: Piry, Sylvain – PersonEntity: Name: NameFull: Pontier, Dominique – PersonEntity: Name: NameFull: Charbonnel, Nathalie – PersonEntity: Name: NameFull: Galan, Maxime IsPartOfRelationships: – BibEntity: Dates: – D: 01 M: 07 Text: Jul2020 Type: published Y: 2020 Identifiers: – Type: issn-print Value: 20457758 Numbering: – Type: volume Value: 10 – Type: issue Value: 13 Titles: – TitleFull: Ecology & Evolution (20457758) Type: main |
| ResultId | 1 |