Investigating population‐scale allelic differential expression in wild populations of Oithona similis (Cyclopoida, Claus, 1866)

• Published in: Ecology and Evolution
• Main Authors: Romuald Laso‐Jadart, Kevin Sugier, Emmanuelle Petit, Karine Labadie, Pierre Peterlongo, Christophe Ambroise, Patrick Wincker, Jean‐Louis Jamet, Mohammed‐Amin Madoui
• Format: Article in Journal/Newspaper
• Language: English
• Published: Wiley 2020
• Subjects: allelic expression; Arctic seas; copepod; metagenomics; metatranscriptomics; selection; Ecology; QH540-549.5; Arctic; Zooplankton
• Online Access: https://doi.org/10.1002/ece3.6588; https://doaj.org/article/01ddead37cf949e0bfe561d3c74fc8c0

Abstract Acclimation allowed by variation in gene or allele expression in natural populations is increasingly understood as a decisive mechanism, as much as adaptation, for species evolution. However, for small eukaryotic organisms, as species from zooplankton, classical methods face numerous challenges. Here, we propose the concept of allelic differential expression at the population‐scale (psADE) to investigate the variation in allele expression in natural populations. We developed a novel approach to detect psADE based on metagenomic and metatranscriptomic data from environmental samples. This approach was applied on the widespread marine copepod, Oithona similis, by combining samples collected during the Tara Oceans expedition (2009–2013) and de novo transcriptome assemblies. Among a total of 25,768 single nucleotide variants (SNVs) of O. similis, 572 (2.2%) were affected by psADE in at least one population (FDR < 0.05). The distribution of SNVs under psADE in different populations is significantly shaped by population genomic differentiation (Pearson r = 0.87, p = 5.6 × 10−30), supporting a partial genetic control of psADE. Moreover, a significant amount of SNVs (0.6%) were under both selection and psADE (p < .05), supporting the hypothesis that natural selection and psADE tends to impact common loci. Population‐scale allelic differential expression offers new insights into the gene regulation control in populations and its link with natural selection.