2023
DOI: 10.3389/fevo.2023.1125134
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The lack of genetic variation underlying thermal transcriptomic plasticity suggests limited adaptability of the Northern shrimp, Pandalus borealis

Abstract: IntroductionGenetic variation underlies the populations’ potential to adapt to and persist in a changing environment, while phenotypic plasticity can play a key role in buffering the negative impacts of such change at the individual level.MethodsWe investigated the role of genetic variation in the thermal response of the northern shrimp Pandalus borealis, an ectotherm species distributed in the Arctic and North Atlantic Oceans. More specifically, we estimated the proportion transcriptomic responses explained b… Show more

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Cited by 3 publications
(16 citation statements)
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“…In the northwest Atlantic, these changes were seen in the community structure by the mid‐late 2000s, as fish functional groups began to show increases in biomass and crustaceans started to decline (DFO, 2014). Recently, Leung et al (2023) found that P. borealis lacked genetic variation, explaining thermal plasticity. Their results suggest a limited potential of this species for evolutionary thermal plasticity, increasing its vulnerability to future global changes.…”
Section: Discussionmentioning
confidence: 99%
“…In the northwest Atlantic, these changes were seen in the community structure by the mid‐late 2000s, as fish functional groups began to show increases in biomass and crustaceans started to decline (DFO, 2014). Recently, Leung et al (2023) found that P. borealis lacked genetic variation, explaining thermal plasticity. Their results suggest a limited potential of this species for evolutionary thermal plasticity, increasing its vulnerability to future global changes.…”
Section: Discussionmentioning
confidence: 99%
“…1) experimentally exposed to three temperatures (2, 6, 10°C). Differentially expressed transcripts (DETs) were identified for temperature or regional effects (Leung et al 2023). SNPs associated with transcripts were then identified by mapping the reference transcriptome to the reference genome using Hisat2 (v2.2.1, Kim et al 2015).…”
Section: Methodsmentioning
confidence: 99%
“…Transcriptomics. The transcriptomic data were originally presented in Leung et al (2023). Briefly, the dataset consists in RNA sequencing data, or transcript counts, from the muscle of 54 adult females from three regions (SS, GSL, NFL; Fig.…”
Section: Genomic Data Acquisitionmentioning
confidence: 99%
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