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Record W2468021988

Effet protecteur d'un pigment (marennime) de diatomée bleue contre la bactérie pathogène Vibrio splendidus chez les larves de moule bleue Mytilus edulis : utilisation potentielle en écloseries de bivalves

2014· article· fr· W2468021988 on OpenAlexfundno aff
François Turcotte

Bibliographic record

VenueSémaphore (Université du Québec à Rimouski) · 2014
Typearticle
Languagefr
FieldAgricultural and Biological Sciences
TopicAquaculture Nutrition and Growth
Canadian institutionsnot available
FundersNatural Sciences and Engineering Research Council of CanadaEuropean CommissionUniversité du Québec à Rimouski
KeywordsBiologyMolecular biology
DOInot available

Abstract

fetched live from OpenAlex

RÉSUMÉ: Le but de cette recherche est d'explorer la possibilité d'utiliser un pigment naturel pour contrôler la prolifération de bactéries pathogènes en écloserie de bivalves. Le pigment, appelé "marennine", est produit en laboratoire par la microalgue marine Haslea ostrearia. Les modèles biologiques sont les larves de moule bleue Mytilus edulis et la bactérie pathogène Vibrio splendidus. L'hypothèse testée dans le cadre de ce travail est la suivante: la pathogénécité de Vibrio splendidus dans un élevage larvaire de Mytilus edulis peut être contrôlée par l'utilisation de la marennine. L'effet de différentes concentrations de marennine sur la croissance des algues fourrages utilisées pour l'alimentation des larves de moules a été premièrement testé sans démontrer d'influence négative. Ensuite, l'effet des mêmes concentrations de marennine sur la survie, la condition physiologique (analyses lipidiques) des larves et le développement bactérien dans les cultures larvaires a également été testé. Les résultats ont démontré qu'à faible dose, la marennine n'avait pas d' effet cytotoxique sur les larves et qu'elle améliorait leur survie. Finalement, la survie des larves et le développement bactérien dans les cultures ont été testés après 72 heures d'élevage en condition d'exposition à la bactérie pathogène. L'exposition à Vibrio a causé une mortalité significative par rapport au contrôle, mais la survie des larves exposées à la marennine et au Vibrio était égale au contrôle, indiquant que la marennnine a complètement inhibé la pathogénicité de V splendidus. Ces résultats confirment l'intérêt d'utiliser la marennine comme agent protecteur naturel en écloserie. -- Mots clés: Haslea ostrearia, Vibrio splendidus, Écloserie, Bivalves, Antibiotique naturel. --ABSTRACT: 
\nThe possibility of using a natural microalgal pigment as an antibiotic in bivalve hatcheries was explored. The molecule (named marennine) was produced in the laboratory from Haslea ostrearia cultures. Blue mussel Mytilus edulis was used as a model animal and the pathogenic marine bacteria Vibrio splendidus was used to cause larval mortality. The hypothesis tested was: V splendidus's pathogenicity in a Medulis larval rearing can be controlled using marennine. The effect of different marennine concentrations on growth of microalgae used as larval feed was tested to make sure that feed availability would be the same for aU treatments in further experiments. No difference in growth was found. Then, the effect of the same marennine concentrations was tested on larval survival for 20 days. At a low dose (0.1 mg L- 1 ) , survival was 30 % higher than in the control. A higher dose (1.0 mg L- 1 ) caused heavy Iarval mortality. In a third experiment, ten days old larvae were exposed to V splendidus for 72 hours, with or without marennine. The bacteria caused significant mortality when compared to control, and the marelmine treated larvae exposed to the pathogen had a significantly higher survival, similar to the one in control experiments. We concluded that marennine was an interesting molecule for pathogen control in hatcheries as it is active against bacteria at low concentrations and that is significantly enhanced larval survival. -- Keywords: Haslea ostrearia, Vibrio splendidus, Hatchery, Bivalve, Natural Antibiotic.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.476
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0000.001
Science and technology studies0.0010.001
Scholarly communication0.0000.001
Open science0.0010.000
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0040.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.005
GPT teacher head0.169
Teacher spread0.164 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

Study designObservational
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

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Citations1
Published2014
Admission routes1
Has abstractyes

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