2017
DOI: 10.1007/s11356-017-0294-6
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Transcriptomic responses of the endangered freshwater mussel Margaritifera margaritifera to trace metal contamination in the Dronne River, France

Abstract: The freshwater pearl mussel Margaritifera margaritifera is one of the most threatened freshwater bivalves worldwide. In this study, we aimed (i) to study the processes by which water quality might affect freshwater mussels in situ and (ii) to provide insights into the ecotoxicological significance of water pollution to natural populations in order to provide necessary information to enhance conservation strategies. M. margaritifera specimens were sampled in two close sites located upstream or downstream from a… Show more

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Cited by 31 publications
(31 citation statements)
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“…Discriminant analysis of principal components (DAPC) and fastStructure analyses suggest the existence of a single panmictic population of Margaritifera margaritifera in Massachusetts. Population structure was inferred using a panel of 287 single nucleotide polymorphisms shared between 59 individuals from six sites in Massachusetts and 23 individuals from one site in France (Bertucci et al, 2017). DAPC suggests (a) one and (b) two populations when Massachusetts individuals are analysed and when Massachusetts and French individuals are analysed together respectively.…”
Section: Resultsmentioning
confidence: 99%
See 1 more Smart Citation
“…Discriminant analysis of principal components (DAPC) and fastStructure analyses suggest the existence of a single panmictic population of Margaritifera margaritifera in Massachusetts. Population structure was inferred using a panel of 287 single nucleotide polymorphisms shared between 59 individuals from six sites in Massachusetts and 23 individuals from one site in France (Bertucci et al, 2017). DAPC suggests (a) one and (b) two populations when Massachusetts individuals are analysed and when Massachusetts and French individuals are analysed together respectively.…”
Section: Resultsmentioning
confidence: 99%
“…This bioinformatics pipeline is summarized in Figure 2. This process was repeated with transcriptome data from 23 French M. margaritifera isolates (Bertucci et al, 2017) in order to investigate global population structure and to compare population genetic metrics between North American and European populations using an identical set of markers.…”
Section: Methodsmentioning
confidence: 99%
“…New and reliable methods for quantifying stress in mussels could include the use of custom intermittent flow respirometry systems, which may provide improved means for quantifying respiration and clearance rates (Steffensen, ; Sui et al, ; Svendsen, Bushnell, & Steffensen, ). Alternatively, molecular markers have been developed for assessing physiological responses to stressors in other aquatic taxa (Denslow, Garcia‐Reyero, & Barber, ); however, few studies have applied this technology to freshwater mussels (but see Bertucci et al, ; Luo et al, ; Robertson, Galbraith, Iwanowicz, Blakeslee, & Cornman, ). Carefully selected molecular markers have the added benefit of providing insight into the mechanism (pathway) of the physiological response (Denslow et al, ).…”
Section: Discussionmentioning
confidence: 99%
“…Alternatively, molecular markers have been developed for assessing physiological responses to stressors in other aquatic taxa (Denslow, Garcia-Reyero, & Barber, 2007); however, few studies have applied this technology to freshwater mussels (but see Bertucci et al, 2017;Luo et al, 2014;Robertson, Galbraith, Iwanowicz, Blakeslee, & Cornman, 2017). Carefully selected molecular markers have the added benefit of providing insight into the mechanism (pathway) of the physiological response (Denslow et al, 2007).…”
Section: Discussionmentioning
confidence: 99%
“…After testing three commonly used formulas, they recommended a standardized method, calculated as CI ¼ dry soft tissue weight (g) 3 1000/internal shell cavity capacity (g). However, review of recent literature for freshwater bivalves still shows wide variation in the methodology used to calculate CI, with soft tissue weight (wet or dry) divided by either shell length (Blaise et al 2017), shell length^3 (Spooner and Vaughn 2009), shell weight (Payton et al 2016;Bertucci et al 2017;Zhao et al 2017), shell cavity volume (Nobles and Zhang 2015;Otter et al 2015), total dry weight (Ganser et al 2015), or total wet weight (Michel et al 2013), with or without the use of scaling factors (310, 3100, etc. ).…”
Section: àmentioning
confidence: 99%