Seasonal effects of heat shock on bacterial populations, including artificial Vibrio parahaemolyticus exposure, in the Pacific oyster, Crassostrea gigas

Aagesen, Alisha M.; Häse, Claudia C.

doi:10.1016/j.fm.2013.08.008

Cited by 21 publications

(10 citation statements)

References 33 publications

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“…Silva-Neta et al (2015) detected higher bacterial concentrations at the end of the dry season, which corresponds to our M1 sampling, while the general tendency to higher bacteria concentrations in oyster tissues in the rainy season, and the correspondingly lower values observed in C. corteziensis during the dry season, seem to agree with the direct relationship with water temperature described by Deepanjali et al (2005) and Aagesen and Häse (2014) for V. parahaemolyticus concentrations, or for aerobic heterotrophs and Vibrio-like bacteria determined by Fay et al (2012).…”

Section: Discussionsupporting

confidence: 92%

BACTERIAL COMMUNITIES OF THE OYSTERS Crassostrea corteziensis AND C. sikamea OF COSPITA BAY, SINALOA, MEXICO

Luis-Villaseñor

Zamudio-Armenta

Voltolina

et al. 2018

Rev. Int. Contam. Ambie.

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This work aimed to quantify the bacterial loads and determine the taxonomic composition of the microbial communities of oysters Crassostrea corteziensis and C. sikamea, as well as the surrounding waters of Cospita Bay, using two sets of samples (M1 and M4) obtained in the dry season and two (M2 and M3) in the rainy season. Bacterial loads were quantified with the viable count technique and out of the 320 strains isolated for their different morphologies, 84 were identified with molecular techniques to the species level. These species pertained to the families Vibrionaceae, Bacillaceae, Brucellaceae, Micrococcaceae, Pseudoalteromonaceae, Rhodobactereceae, Shewanellaceae and Staphylococcaceae. The higher concentrations of total bacteria were in the rainy season (samples M2 and M3), when families Vibrionaceae and Brucellaceae dominated. The highest Vibrio spp. and Pseudomonas spp. concentrations were in winter (samples M4). Probably because of its poor health conditions, the Kumamoto oyster C. sikamea had the highest diversity of bacterial species and the highest number of known pathogens for aquatic organisms. Palabras clave: bacterias, ostiones cultivados, ostiones silvestres RESUMEN En la presente investigación se cuantificó la carga bacteriana y se determinó la composición de la microbiota de los ostiones Crassostrea corteziensis y C. sikamea, así como del agua circundante de Bahía Cospita, usando dos muestras obtenidas durante el periodo de estiaje (muestreos M1 y M4) y dos obtenidas en el periodo de lluvias (muestreos M2 y M3). La carga bacteriana se cuantificó con la técnica de cuenta viable y se aislaron con criterios morfológicos 320 cepas, de las cuales de 84 se identificaron con técnicas moleculares hasta el nivel de especie y fueron agrupadas en las familias Vibrionaceae, Bacillaceae, Brucellaceae, Micrococcaceae,

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Section: Discussionsupporting

confidence: 92%

BACTERIAL COMMUNITIES OF THE OYSTERS Crassostrea corteziensis AND C. sikamea OF COSPITA BAY, SINALOA, MEXICO

Luis-Villaseñor

Zamudio-Armenta

Voltolina

et al. 2018

Rev. Int. Contam. Ambie.

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“…Oyster glycogen content is a type of quantitative trait and varies extensively among different individuals [ 9 , 36 ]. It is a complex and important trait that is affected by genetic and environment factors, including season, nutrients, salinity, and temperature [ 9 , 37 – 39 ].…”

Section: Discussionmentioning

confidence: 99%

Integrated application of transcriptomics and metabolomics provides insights into glycogen content regulation in the Pacific oyster Crassostrea gigas

Song

Meng

et al. 2017

BMC Genomics

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BackgroundThe Pacific oyster Crassostrea gigas is an important marine fishery resource, which contains high levels of glycogen that contributes to the flavor and the quality of the oyster. However, little is known about the molecular and chemical mechanisms underlying glycogen content differences in Pacific oysters. Using a homogeneous cultured Pacific oyster family, we explored these regulatory networks at the level of the metabolome and the transcriptome.ResultsOysters with the highest and lowest natural glycogen content were selected for differential transcriptome and metabolome analysis. We identified 1888 differentially-expressed genes, seventy-five differentially-abundant metabolites, which are part of twenty-seven signaling pathways that were enriched using an integrated analysis of the interaction between the differentially-expressed genes and the differentially-abundant metabolites. Based on these results, we found that a high expression of carnitine O-palmitoyltransferase 2 (CPT2), indicative of increased fatty acid degradation, is associated with a lower glycogen content. Together, a high level of expression of phosphoenolpyruvate carboxykinase (PEPCK), and high levels of glucogenic amino acids likely underlie the increased glycogen production in high-glycogen oysters. In addition, the higher levels of the glycolytic enzymes hexokinase (HK) and pyruvate kinase (PK), as well as of the TCA cycle enzymes malate dehydrogenase (MDH) and pyruvate carboxylase (PYC), imply that there is a concomitant up-regulation of energy metabolism in high-glycogen oysters. High-glycogen oysters also appeared to have an increased ability to cope with stress, since the levels of the antioxidant glutathione peroxidase enzyme 5 (GPX5) gene were also increased.ConclusionOur results suggest that amino acids and free fatty acids are closely related to glycogen content in oysters. In addition, oysters with a high glycogen content have a greater energy production capacity and a greater ability to cope with stress. These findings will not only provide insights into the molecular mechanisms underlying oyster quality, but also promote research into the molecular breeding of oysters.Electronic supplementary materialThe online version of this article (doi:10.1186/s12864-017-4069-8) contains supplementary material, which is available to authorized users.

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“…Even though several abiotic and biotic factors can determine the community structure and dynamics of oysters-associated microbiota (Aagesen and Hase 2014;Lokmer and Mathias Wegner 2015), this study in controlled conditions clearly showed that Streptomyces strains N7 and RL8 induced a significant shift of microbiota composition in C. sikamea, as revealed by PCA. Except for a similar microbiota composition of the nondepurated Streptomyces RL8 with the nondepurated final control group, both Streptomyces strains changed the microbiome of depurated and nondepurated oysters with respect to either the initial or final control group (see Fig.…”

Section: Discussionmentioning

confidence: 64%

Streptomyceseffect on the bacterial microbiota associated toCrassostrea sikameaoyster

Bernal

Fernandez

Saucedo³

et al. 2017

J Appl Microbiol

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Seasonal effects of heat shock on bacterial populations, including artificial Vibrio parahaemolyticus exposure, in the Pacific oyster, Crassostrea gigas

Cited by 21 publications

References 33 publications

BACTERIAL COMMUNITIES OF THE OYSTERS Crassostrea corteziensis AND C. sikamea OF COSPITA BAY, SINALOA, MEXICO

BACTERIAL COMMUNITIES OF THE OYSTERS Crassostrea corteziensis AND C. sikamea OF COSPITA BAY, SINALOA, MEXICO

Integrated application of transcriptomics and metabolomics provides insights into glycogen content regulation in the Pacific oyster Crassostrea gigas

Streptomyceseffect on the bacterial microbiota associated toCrassostrea sikameaoyster

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