12/25/2023 0 Comments Oyster spat recruitment methodsIn: Kennedy VS, Newell RIE, Eble A (eds) The eastern oyster: crassostrea virginica. Kennedy VS (1996) Biology of Larvae and Spat. Kamvar ZN, Tabima JF, Grünwald NJ (2014) Poppr: an R package for genetic analysis of populations with clonal, partially clonal, and/or sexual reproduction. Jombart T (2008) Adegenet: a R package for the multivariate analysis of genetic markers. Jackson JBC, Kirby MX, Berger WH, Bjorndal KA, Botsford LW, Bourque BJ et al (2001) Historical overfishing and the recent collapse of coastal ecosystems. Hégaret H, Wikfors GH, Shumway SE (2007) Diverse feeding responses of five species of bivalve mollusc when exposed to three species of harmful algae. Hedgecock D, Pudovkin AI (2011) Sweepstakes reproductive success in highly fecund marine fish And shellfish: a review and commentary. Hare MP, Allen SK, Bloomer P, Camara MD, Carnegie RB, Murfree J et al (2006) A genetic test for recruitment enhancement in Chesapeake Bay oysters, Crassostrea virginica, after population supplementation with a disease tolerant strain. Guillot G, Mortier F, Estoup A (2005) GENELAND: a computer package for landscape genetics. Grabowski JH, Brumbaugh RD, Conrad RF, Keeler AG, Opaluch JJ, Peterson CH et al (2012) Economic valuation of ecosystem services provided by oyster Reefs. Goudet, J (2014) hierfstat: Estimation and tests of hierarchical F-statistics, ver. Garvin MR, Saitoh K, Gharrett AJ (2010) Application of single nucleotide polymorphisms to non-model species: a technical review. Įxcoffier L, Lischer HEL (2010) Arlequin suite ver 3.5: a new series of programs to perform population genetics analyses under Linux and Windows. Įvanno G, Regnaut S, Goudet J (2005) Detecting the number of clusters of individuals using the software STRUCTURE: a simulation study. Įarl D, VonHoldt BM (2012) Structure harvester: a website and program for visualizing STRUCTURE output and implementing the Evanno method. Mar Biol 75:99–112Ĭarlsson J, Carnegie RB, Cordes JF, Hare MP, Leggett AT, Reece KS (2008) Evaluating recruitment contribution of a selectively bred aquaculture line of the oyster, Crassostrea virginica used in restoration efforts. Genetics 96(2):523–536īuroker NE (1983) Population genetics of American oyster Crassostrea virginica along the Atlantic coast and the Gulf of Mexico. Ann Stat 29(4):1165–1188īrown AH, Feldman MW, Nevo E (1980) Multilocus structure of natural populations of Hordeum spontaneum. We recommend that the monitoring of restoration activities should consider relevant environmental conditions and observe multiple years of recruitment to assess the genetic impacts of restoration plantings and variable reproductive success.īenjamini Y, Yekutieli D (2001) The control of the false discovery rate in multiple testing under dependency. The winds during the spawning seasons differed between years providing conditions for retention in 2013 and mixing of water masses in 2014. Oyster spat from 2013 were genetically more similar to resident adults sampled in the Lafayette River, while the 2014 spat exhibited genotypic frequencies more similar to adults from surrounding rivers. Differences in environmental conditions between the two years of monitored recruitment likely affected larval dispersal and survival, contributing to observed interannual differences in the newly recruiting cohorts. We also observed a genetic influence from an oyster strain used previously for restoration. Two spat were identified as hybrids of one of the planted strains and resident oyster genotypes. We utilized single nucleotide polymorphism markers to test the model predictions by genotyping oysters recruited after planting two hatchery-spawned strains and examining interannual recruitment variability for two successive years. We used a coupled biological-physical connectivity model as a guide to plant two distinct hatchery-spawned strains of the eastern oyster, Crassostrea virginica, in the Lafayette River, Virginia during the summer of 2013 at two locations corresponding to virtual spawning locations within the connectivity model. Despite global investment in shellfish restoration activities, relatively little attention has been given to predicting optimal restoration sites and testing these expectations.
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