scholarly journals Oyster Mortality Studies in Virginia V. Epizootiology of MSX, A Protistan Pathogen of Oysters

Ecology ◽  
1966 ◽  
Vol 47 (1) ◽  
pp. 19-31 ◽  
Author(s):  
Jay D. Andrews
Keyword(s):  
Oyster Mortality

Non-indigenous predators threaten ecosystem engineers: Interactive effects of green crab and oyster size on American oyster mortality

2017 ◽  
Vol 127 ◽  
pp. 24-31 ◽  
Author(s):  
Tyler R. Pickering ◽  
Luke A. Poirier ◽  
Timothy J. Barrett ◽  
Shawn McKenna ◽  
Jeff Davidson ◽  
...  
Keyword(s):  
Ecosystem Engineers ◽  
Green Crab ◽  
Interactive Effects ◽  
American Oyster ◽  
Oyster Mortality

scholarly journals Spatial epidemiological modelling of infection by Vibrio aestuarianus shows that connectivity and temperature control oyster mortality

2020 ◽  
Vol 12 ◽  
pp. 511-527
Author(s):  
C Lupo ◽  
BL Dutta ◽  
S Petton ◽  
P Ezanno ◽  
D Tourbiez ◽  
...  
Keyword(s):  
Reproduction Number ◽  
Effect Of Temperature ◽  
Long Distance Dispersal ◽  
Long Distance ◽  
Free Living ◽  
Oyster Population ◽  
Marine Connectivity ◽  
Oyster Mortality ◽  
Adult Oyster ◽  
Oyster Farms

Vibrio aestuarianus infection in oyster populations causes massive mortality, resulting in losses for oyster farmers. Such dynamics result from host-pathogen interactions and contagion through water-borne transmission. To assess the spatiotemporal spread of V. aestuarianus infection and associated oyster mortality at a bay scale, we built a mathematical model informed by experimental infection data at 2 temperatures and spatially dependent marine connectivity of oyster farms. We applied the model to a real system and tested the importance of each factor using a number of modelling scenarios. Results suggest that introducing V. aestuarianus in a fully susceptible adult oyster population in the bay would lead to the mortality of all farmed oysters over 6 to 12 mo, depending on the location in which infection was initiated. The effect of temperature was captured by the basic reproduction number (R0), which was >1 at high seawater temperatures, as opposed to values <1 at low temperatures. At the ecosystem scale, simulations showed the existence of long-distance dispersal of free-living bacteria. The western part of the bay could be reached by bacteria originating from the eastern side, though the spread time was greatly increased. Further developments of the model, including the consideration of the anthropogenic movements of oysters and oyster-specific sensitivity factors, would allow the development of accurate maps of epidemiological risks and help define aquaculture zoning.

scholarly journals Microbiota Composition and Evenness Predict Survival Rate of Oysters Confronted to Pacific Oyster Mortality Syndrome

2020 ◽  
Vol 11 ◽  
Author(s):  
Camille Clerissi ◽  
Julien de Lorgeril ◽  
Bruno Petton ◽  
Aude Lucasson ◽  
Jean-Michel Escoubas ◽  
...  
Keyword(s):  
Survival Rate ◽  
Pacific Oyster ◽  
Microbiota Composition ◽  
Oyster Mortality

scholarly journals Oyster mortality

EFSA Journal ◽  
2015 ◽  
Vol 13 (6) ◽  
Author(s):  
Keyword(s):  
Oyster Mortality

Oyster mortality in Delaware Bay: Impacts and recovery from Hurricane Irene and Tropical Storm Lee

2013 ◽  
Vol 135 ◽  
pp. 209-219 ◽  
Author(s):  
D. Munroe ◽  
A. Tabatabai ◽  
I. Burt ◽  
D. Bushek ◽  
E.N. Powell ◽  
...  
Keyword(s):  
Delaware Bay ◽  
Tropical Storm ◽  
Hurricane Irene ◽  
Oyster Mortality

scholarly journals Influence of OSHV-1 oyster mortality episode on dissolved inorganic fluxes: An ex situ experiment at the individual scale

Aquaculture ◽  
2017 ◽  
Vol 475 ◽  
pp. 40-51 ◽  
Author(s):  
M. Richard ◽  
J. Bourreau ◽  
C. Montagnani ◽  
V. Ouisse ◽  
P. Le Gall ◽  
...  
Keyword(s):  
Ex Situ ◽  
Oyster Mortality ◽  
Individual Scale ◽  
The Individual

scholarly journals New Zealand juvenile oyster mortality associated with ostreid herpesvirus 1—an opportunistic longitudinal study

2014 ◽  
Vol 109 (3) ◽  
pp. 231-239 ◽  
Author(s):  
SE Keeling ◽  
CL Brosnahan ◽  
R Williams ◽  
E Gias ◽  
M Hannah ◽  
...  
Keyword(s):  
Longitudinal Study ◽  
New Zealand ◽  
Oyster Mortality ◽  
Herpesvirus 1 ◽  
Ostreid Herpesvirus 1

scholarly journals Microbiota composition and evenness predict survival rate of oysters confronted to Pacific Oyster Mortality Syndrome

2018 ◽  
Author(s):  
Camille Clerissi ◽  
Julien de Lorgeril ◽  
Bruno Petton ◽  
Aude Lucasson ◽  
Jean-Michel Escoubas ◽  
...  
Keyword(s):  
Survival Rate ◽  
16S Rrna ◽  
16S Rrna Gene ◽  
Pacific Oyster ◽  
Economic Losses ◽  
Rrna Gene ◽  
Microbiota Composition ◽  
Disease Dynamics ◽  
Oyster Mortality ◽  
Resistant Family

AbstractPacific Oyster Mortality Syndrome (POMS) affects Crassostrea gigas oysters worldwide and caused important economic losses. Disease dynamics was recently deciphered and revealed a multiple and progressive infection caused by the Ostreid herpesvirus OsHV-1 µVar, triggering an immunosuppression followed by microbiota destabilization and bacteraemia by opportunistic bacterial pathogens. However, it remains unknown if microbiota might participate to oyster protection to POMS, and if microbiota characteristics might be predictive of oyster mortalities. To tackle this issue, we transferred full-sib progenies of resistant and susceptible oyster families from hatchery to the field during a period in favour of POMS. After five days of transplantation, oysters from each family were either sampled for individual microbiota analyses using 16S rRNA gene-metabarcoding or transferred into facilities to record their survival using controlled condition. As expected, all oysters from susceptible families died, and all oysters from the resistant family survived. Quantification of OsHV-1 and bacteria showed that five days of transplantation was long enough to contaminate oysters by POMS, but not for entering the pathogenesis process. Thus, it was possible to compare microbiota characteristics between resistant and susceptible oyster families at the early steps of infection. Strikingly, we found that microbiota evenness and abundances of Cyanobacteria (Subsection III, family I), Mycoplasmataceae, Rhodobacteraceae, and Rhodospirillaceae were significantly different between resistant and susceptible oyster families. We concluded that these microbiota characteristics might predict oyster mortalities.

scholarly journals Contribution of Viral Genomic Diversity to Oyster Susceptibility in the Pacific Oyster Mortality Syndrome

2020 ◽  
Vol 11 ◽  
Author(s):  
Jean Delmotte ◽  
Cristian Chaparro ◽  
Richard Galinier ◽  
Julien de Lorgeril ◽  
Bruno Petton ◽  
...  
Keyword(s):  
Pacific Oyster ◽  
Genomic Diversity ◽  
Oyster Mortality ◽  
The Pacific
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