Detection and characterization of Bonamia ostreae in Ostrea edulis imported to China

Chen, Feng; Lin, Xiaoyan; Wang, Fei; Zhang, Yongning; Lv, Jizhou; Wang, Caixia; Deng, Junhua; Mei, Lin; Wu, Shaoqiang; Li, Huailin

doi:10.3354/dao02631

Cited by 9 publications

(7 citation statements)

References 20 publications

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“…B. ostreae has spread in Europe (France, Ireland, Netherlands, Portugal, Spain and the U.K.), but also on the west coast of Canada and both coasts of the USA [44]. B. ostreae was found in O. edulis imported to China [45]; recently, this species was detected in New Zealand infecting the flat oyster Ostrea chilensis [46]. B. exitiosa was found in O. chilensis in South Island, New Zealand [47] , and in Ostrea angasi in southeastern Australia [48].…”

Section: Infectious Diseases Of Marine Bivalve Mollusksmentioning

confidence: 99%

Microbial Diseases of Bivalve Mollusks: Infections, Immunology and Antimicrobial Defense

et al. 2017

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A variety of bivalve mollusks (phylum Mollusca, class Bivalvia) constitute a prominent commodity in fisheries and aquacultures, but are also crucial in order to preserve our ecosystem’s complexity and function. Bivalve mollusks, such as clams, mussels, oysters and scallops, are relevant bred species, and their global farming maintains a high incremental annual growth rate, representing a considerable proportion of the overall fishery activities. Bivalve mollusks are filter feeders; therefore by filtering a great quantity of water, they may bioaccumulate in their tissues a high number of microorganisms that can be considered infectious for humans and higher vertebrates. Moreover, since some pathogens are also able to infect bivalve mollusks, they are a threat for the entire mollusk farming industry. In consideration of the leading role in aquaculture and the growing financial importance of bivalve farming, much interest has been recently devoted to investigate the pathogenesis of infectious diseases of these mollusks in order to be prepared for public health emergencies and to avoid dreadful income losses. Several bacterial and viral pathogens will be described herein. Despite the minor complexity of the organization of the immune system of bivalves, compared to mammalian immune systems, a precise description of the different mechanisms that induce its activation and functioning is still missing. In the present review, a substantial consideration will be devoted in outlining the immune responses of bivalves and their repertoire of immune cells. Finally, we will focus on the description of antimicrobial peptides that have been identified and characterized in bivalve mollusks. Their structural and antimicrobial features are also of great interest for the biotechnology sector as antimicrobial templates to combat the increasing antibiotic-resistance of different pathogenic bacteria that plague the human population all over the world.

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Section: Infectious Diseases Of Marine Bivalve Mollusksmentioning

confidence: 99%

Microbial Diseases of Bivalve Mollusks: Infections, Immunology and Antimicrobial Defense

et al. 2017

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“…Arzul et al (2009) found that parasites may survive at least 48 hours, with significantly higher survival at 15 • C compared to 25 • C. Because the reported experiments were only run for 48 hours, it remains unknown for how long parasites might exist outside the host under optimal conditions. Feng et al (2013) confirmed survival of the parasite after one month at 4 • C in a tissue homogenate, but at very low temperatures (≈ 0 • C) the parasite appears to be killed or at least not proliferate (Madsen et al, 2013). These experiments informed the modeling of viable parasite abundance and the seasonality aspect of the modeling process.…”

Section: Parasite Survival and Seasonalitymentioning

confidence: 88%

Co‐designing and building an expert‐elicited non‐parametric Bayesian network model: demonstrating a methodology using aBonamia Ostreaespread risk case study

et al. 2022

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The development and use of probabilistic models, particularly Bayesian networks (BN), to support risk‐based decision making is well established. Striking an efficient balance between satisfying model complexity and ease of development requires continuous compromise. Codesign, wherein the structural content of the model is developed hand‐in‐hand with the experts who will be accountable for the parameter estimates, shows promise, as do so‐called nonparametric Bayesian networks (NPBNs), which provide a light‐touch approach to capturing complex relationships among nodes. We describe and demonstrate the process of codesigning, building, quantifying, and validating an NPBN model for emerging risks and the consequences of potential management decisions using structured expert judgment (SEJ). We develop a case study of the local spread of a marine pathogen, namely, Bonamia ostreae. The BN was developed through a series of semistructured workshops that incorporated extensive feedback from many experts. The model was then quantified with a combination of field and expert‐elicited data. The IDEA protocol for SEJ was used in its hybrid (remote and face‐to‐face) form to elicit information about more than 100 parameters. This article focuses on the modeling and quantification process, the methodological challenges, and the way these were addressed.

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“…The ornamental fish trade is a highrisk pathway for introducing parasites into New Zealand (McDowall 2004), with exotic parasites often detected in post-border quarantine consignments (Edwards and Hine 1974). The trade of live animals for aquaculture is a well-known pathway for parasite introductions overseas (Elston et al 1986), similarly for animals intended for human consumption, such as the introduction of OIE notifiable WSSV into Australia via the importation of uncooked prawns (Scott-Orr et al 2017) and the detection of B. ostreae in imported consignments of frozen O. edulis into China (Feng et al 2013). Because of its relative geographic isolation, New Zealand has had comparatively fewer introductions than, say, European countries that share multiple land borders and water ways (Peeler et al 2011).…”

Section: Parasitic Invasive Speciesmentioning

confidence: 99%

Aquatic disease in New Zealand: synthesis and future directions

Lane

Brosnahan²,

Poulin

2020

New Zealand Journal of Marine and Freshwater Research

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Detection and characterization of Bonamia ostreae in Ostrea edulis imported to China

Cited by 9 publications

References 20 publications

Microbial Diseases of Bivalve Mollusks: Infections, Immunology and Antimicrobial Defense

Microbial Diseases of Bivalve Mollusks: Infections, Immunology and Antimicrobial Defense

Co‐designing and building an expert‐elicited non‐parametric Bayesian network model: demonstrating a methodology using aBonamia Ostreaespread risk case study

Aquatic disease in New Zealand: synthesis and future directions

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