FN Archimer Export Format
PT J
TI Predicting the genetic impact of stocking in Brook Charr (     Salvelinus fontinalis     ) by combining RAD sequencing and modeling of explanatory variables
BT 
AF LETOURNEAU, Justine
   FERCHAUD, Anne-Laure
   LE LUYER, Jeremy
   LAPORTE, Martin
   GARANT, Dany
   BERNATCHEZ, Louis
AS 1:1;2:1;3:1;4:1;5:2;6:1;
FF 1:;2:;3:;4:;5:;6:;
C1 Univ Laval, IBIS, Dept Biol, Quebec City, PQ, Canada.
   Univ Sherbrooke, Dept Biol, Fac Sci, Sherbrooke, PQ, Canada.
C2 UNIV LAVAL, CANADA
   UNIV SHERBROOKE, CANADA
IF 5.038
TC 34
UR https://archimer.ifremer.fr/doc/00409/52048/52716.pdf
   https://archimer.ifremer.fr/doc/00409/52048/52717.pdf
   https://archimer.ifremer.fr/doc/00409/52048/52718.xlsx
LA English
DT Article
DE ;Brook Charr;fishery management;genotyping by sequencing;introgression;stocking
AB In fisheries management, intensive stocking programs are commonly used to enhance population abundance and maintain stock productivity. However, such practices are increasingly raising concerns as multiple studies documented adverse genetic and evolutionary impacts of stocking on wild populations. Improvement of stocking management relies on a better understanding of the dynamic of introgressive hybridization between wild and domestic population and on assessment of the genetic state of wild populations after stocking cessation. In Québec, Canada, over five million captive-reared Brook Charr (Salvelinus fontinalis) are stocked every year to support recreational fishing activities. Here, we investigated how variation in stocking history and environmental variables, including water temperature, pH, and dissolved oxygen, may influence the impact of stocking practices on the genetic integrity of wild Brook Charr populations. We collected DNA samples (n = 862, average of 30 individuals per lake) from 29 lakes that underwent different stocking intensity through time and also collected environmental parameters for each sampled lake. An average of 4,580 high-quality filtered SNPs was obtained for each population using genotyping by sequencing (GBS), which were then used to quantify the mean domestic membership of each sampled population. An exhaustive process of model selection was conducted to obtain a best-fitted model that explained 56% of the variance observed in mean domestic genetic membership. The number of years since the mean year of stocking was the best explanatory variable to predict variation in mean domestic genetic membership whereas environmental characteristics had little influence on observed patterns of admixture. Our model predictions also revealed that each sampled wild population could potentially return to a wild genetic state (absence of domestic genetic background) after stocking cessation. Overall, our study provides new insights on factors determining level of introgressive hybridization and suggests that stocking impacts could be reversible with time. 
PY 2018
PD JUL
SO Evolutionary Applications
SN 1752-4571
PU Wiley
VL 11
IS 5
UT 000433572400002
BP 577
EP 592
DI 10.1111/eva.12566
ID 52048
ER

EF