Too Far From Relatives? Impact of the Genetic Distance on the Success of Exon Capture in Phylogenomics

The exon capture approach allows for sequencing a large number of loci to reconstruct phylogenetic relationships at varying taxonomic levels. In order to efficiently recover the targeted loci, the probes designed to capture the exons need to be genetically sufficiently similar to bind to the DNA, with a proposed limit of 10% of divergence. However, this threshold has never been tested with a specific protocol. We have designed a set of probes to capture 1125 exons in the Neogastropoda (Mollusca, Gastropoda), processed with the same protocol from the field to the DNA sequencing to control for potential bias in DNA quantity and quality. We sequenced 30 different species, including 14 species of Neogastropoda and 16 species of Caenogastropoda non-Neogastropoda. Each species includes five specimens, for a total of 150 specimens, and for four specimens among the 150, DNA extracts were aliquoted in four samples, sequenced separately, to estimate the intraspecific and intraspecimen variability in capture success. Our results confirm the impact of genetic distance on the success of exon capture with a negative linear correlation between the genetic distance and the number of exons captured for each sample. Consequently, designing new capture probes would allow for capturing exons in genetically more distant groups without the need to redesign a new set of exons.

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Publication Details

Journal
Molecular Ecology Resources
Published
2025-01-09
DOI
https://doi.org/10.1111/1755-0998.14064
Citations
4
Primary Topic
Aquatic Invertebrate Ecology and Behavior
Type
article
Field-Weighted Citation Impact
6.87

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article

Too Far From Relatives? Impact of the Genetic Distance on the Success of Exon Capture in Phylogenomics

Nicolas Puillandre, Marie Cariou, Alexander Fedosov, Paul Zaharias et al.
4 citations
Molecular Ecology Resources
Aquatic Invertebrate Ecology and Behavior
6.87
article

Too Far From Relatives? Impact of the Genetic Distance on the Success of Exon Capture in Phylogenomics

Nicolas Puillandre, Marie Cariou, Alexander Fedosov, Paul Zaharias, Amandine Blin, Dario Zuccon, Alessandro Derzelle, Sarah Farhat, Thomas Lemarcis
article en
4 citations

Abstract

The exon capture approach allows for sequencing a large number of loci to reconstruct phylogenetic relationships at varying taxonomic levels. In order to efficiently recover the targeted loci, the probes designed to capture the exons need to be genetically sufficiently similar to bind to the DNA, with a proposed limit of 10% of divergence. However, this threshold has never been tested with a specific protocol. We have designed a set of probes to capture 1125 exons in the Neogastropoda (Mollusca, Gastropoda), processed with the same protocol from the field to the DNA sequencing to control for potential bias in DNA quantity and quality. We sequenced 30 different species, including 14 species of Neogastropoda and 16 species of Caenogastropoda non-Neogastropoda. Each species includes five specimens, for a total of 150 specimens, and for four specimens among the 150, DNA extracts were aliquoted in four samples, sequenced separately, to estimate the intraspecific and intraspecimen variability in capture success. Our results confirm the impact of genetic distance on the success of exon capture with a negative linear correlation between the genetic distance and the number of exons captured for each sample. Consequently, designing new capture probes would allow for capturing exons in genetically more distant groups without the need to redesign a new set of exons.

Molecular Ecology ResourcesVol. 25(4)
Centre National de la Recherche Scientifique (FR), École Pratique des Hautes Études (FR), Swedish Museum of Natural History (SE), Sorbonne Université (FR), Institut de Systématique, Évolution, Biodiversité (FR)
European Commission, Centre National de la Recherche Scientifique, Muséum National d'Histoire Naturelle, Région Occitanie Pyrénées-Méditerranée, Office Français de la Biodiversité, H2020 European Research Council
Openalex Percentile: Top 5%
Aquatic Invertebrate Ecology and Behavior
6.87
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