AFLP-based genetic linkage maps of the Pacific oyster Crassostrea gigas Thunberg

Amplified fragment length polymorphisms (AFLPs) were used for genome mapping in the Pacific Oyster Crassostrea gigas Thunberg. Seventeen selected primer combinations produced 1106 peaks, of which 384 (34.7%) were polymorphic in a backcross family. Among the polymorphic markers, 349 were segregating through either the female or the male parent. Chi-square analysis indicated that 255 (73.1%) of the markers segregated in a Mendelian ratio, and 94 (26.9%) showed significant (P < 0.05) segregation distortion. Separate genetic linkage maps were constructed for the female and male parents. The female framework map consisted of 119 markers in 11 linkage groups, spanning 1030.7 cM, with an average interval of 9.5 cM per marker. The male map contained 96 markers in 10 linkage groups, covering 758.4 cM, with 8.8 cM per marker. The estimated genome length of the Pacific oyster was 1258 cM for the female and 933 cM for the male, and the observed coverage was 82.0% for the female map and 81.3% for the male map. Most distorted markers were deficient for homozygotes and closely linked to each other on the genetic map, suggesting the presence of major recessive deleterious genes in the Pacific oyster.

Aspects of the biology of the parasite Bonamia ostreae with a view to gaining a greater understanding of how to alleviate its impact on the European flat oyster, Ostrea edulis.

The parasite Bonamia ostreae has decimated Ostrea edulis stocks throughout Europe. The complete life cycle and means of transmission of the parasite remains unknown. The methods used to diagnose B. ostreae were examined to determine sensitivity and reproducibility. Two methods, with fixed protocols, should be used for the accurate detection of infection within a sample. A 13-month study of two stocks of O. edulis with varying periods of exposure to B. ostreae, was undertaken to determine if varying lengths of exposure would translate into observations of differing susceptibility. Oyster stocks can maintain themselves over extended periods of time in B. ostreae endemic areas. To identify a well performing spat stock, which could be used to repopulate beds within the region, hatchery bred spat from three stocks found in the North sea were placed on a B. ostreae infected bed and screened for growth, mortality and prevalence of infection. Local environmental factors may influence oyster performance, with local stocks better adapted to these conditions. Sediment and macroinvertebrate species were screened to investigate mechanisms by which B. ostreae may be maintaining itself on oyster beds. Mytilus edulis was positive, indicating that B. ostreae may use incidental carriers as a method of maintaining itself. The ability of oyster larvae to pick up infection from the surrounding environment was investigated by collecting larvae from brooding oysters from different areas. Larvae may acquire the pathogen from the water column during the process of filter feeding by the brooding adult, even when the parents themselves are uninfected. A study was undertaken to elucidate the activity of the parasite during the initial stage of infection, when it cannot be detected within the host. A naïve stock screened negative for infection throughout the trial, using heart imprints and PCR yet B. ostreae was detected by in-situ hybridisation.

A von Bertalanffy Based Model for the Estimation of Oyster (Crassostrea virginica) Growth on Restored Oyster Reefs in Chesapeake Bay

A model to estimate the mean monthly growth of Crassostrea virginica oysters in Chesapeake Bay was developed. This model is based on the classic von Bertalanffy growth function, however the growth constant is changed every monthly timestep in response to short term changes in temperature and salinity. Using a dynamically varying growth constant allows the model to capture seasonal oscillations in growth, and growth responses to changing environmental conditions that previous applications of the von Bertalanffy model do not capture. This model is further expanded to include an estimation of Perkinsus marinus impacts on growth rates as well as estimations of ecosystem services provided by a restored oyster bar over time. The model was validated by comparing growth estimates from the model to oyster shell height observations from a variety of restoration sites in the upper Chesapeake Bay. Without using the P. marinus impact on growth, the model consistently overestimates mean oyster growth. However, when P. marinus effects are included in the model, the model estimates match the observed mean shell height closely for at least the first 3 years of growth. The estimates of ecosystem services suggested by this model imply that even with high levels of mortality on an oyster reef, the ecosystem services provided by that reef can still be maintained by growth for several years. Because larger oyster filter more water than smaller ones, larger oysters contribute more to the filtration and nutrient removal ecosystem services of the reef. Therefore a reef with an abundance of larger oysters will provide better filtration and nutrient removal. This implies that if an oyster restoration project is trying to improve water quality through oyster filtration, it is important to maintain the larger older oysters on the reef.