Vibrio splendidus infection induces dysbiosis in the blue mussel and favors pathobiontic bacteria

Cheikh, Yosra Ben; Travers, Marie‐Agnès

doi:10.1016/j.micres.2022.127078

Cited by 5 publications

(2 citation statements)

References 78 publications

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“…elyakovii, Pseu. haloplanktis, S. baltica, and Vibrio splendidus have presented in M. galloprovincialis and M. edulis (Ben Cheikh and Travers, 2022;Odeyemi et al, 2018b;Parrilli et al, 2021;Zou et al, 2020). Enterobacteriaceae, and Shewanellaceae (Odeyemi et al, 2019;Santibáñez et al, 2022).…”

Section: Discussionmentioning

confidence: 99%

The exploration of dominant spoilage bacteria in blue mussels (Mytilus edulis) stored under different modified atmospheres by MALDI-TOF MS in combination with 16S rRNA sequencing

Ratnawati,

Kuuliala,

Verschuere

et al. 2024

Food Microbiology

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Section: Discussionmentioning

confidence: 99%

The exploration of dominant spoilage bacteria in blue mussels (Mytilus edulis) stored under different modified atmospheres by MALDI-TOF MS in combination with 16S rRNA sequencing

Ratnawati,

Kuuliala,

Verschuere

et al. 2024

Food Microbiology

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“…Most Vibrionaceae strains are pathogenic bacteria. For example, Vibrio splendidus infection can induce dysbiosis in the blue mussel M. edulis (Ben Cheikh and Travers, 2022). The microorganisms in bivalve hemolymph are mediated by the host.…”

Section: Discussionmentioning

confidence: 99%

Microbiota characterization of the green mussel Perna viridis at the tissue scale and its relationship with the environment

Chen,

Li,

Shen

et al. 2024

Front. Microbiol.

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Research on the microbiota associated with marine invertebrates is important for understanding host physiology and the relationship between the host and the environment. In this study, the microbiota of the green mussel Perna viridis was characterized at the tissue scale using 16S rRNA gene high-throughput sequencing and compared with the microbiota of the surrounding environment. Different mussel tissues were sampled, along with two environmental samples (the mussel's attachment substratum and seawater). The results showed that the phyla Proteobacteria, Bacteroidetes, and Spirochaetae were dominant in mussel tissues. The bacterial community composition at the family level varied among the tissues of P. viridis. Although the microbiota of P. viridis clearly differed from that of the surrounding seawater, the composition and diversity of the microbial community of the foot and outer shell surface were similar to those of the substratum, indicating their close relationship with the substratum. KEGG prediction analysis indicated that the bacteria harbored by P. viridis were enriched in the degradation of aromatic compounds, osmoregulation, and carbohydrate oxidation and fermentation, processes that may be important in P. viridis physiology. Our study provides new insights into the tissue-scale characteristics of mussel microbiomes and the intricate connection between mussels and their environment.

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Determining the quality level of ready to-eat stuffed mussels with Arduino-based electronic nose

Yavuzer,

Köse,

Uslu

2024

Food Measure

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In this study, the performance of a pre-designed and low-cost Arduino electronic nose for determining the quality of stuffed mussels was analyzed. In addition, 1000 images were taken on each storage day in order to determine the quality levels of stuffed mussel groups with open and closed shells by machine learning. Freshness limit values of stuffed mussels were determined as 200 for MQ3 and MQ135 sensors and 100 for MQ9 on the 3rd storage day when the total viable count (TVC) value exceeded 3 log CFU/g. In the study, faster neural networks with lower prediction times, such as SqueezeNet and GoogLeNet, were compared with ResNet-50, ResNet-101 and DenseNet-201 neural networks, which have larger prediction times but better accuracy. Study data showed that residual network (ResNet) 50 and Teachable Machine (TM) had high success in determining the quality levels of stuffed mussels.

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Vibrio splendidus infection induces dysbiosis in the blue mussel and favors pathobiontic bacteria

Cited by 5 publications

References 78 publications

The exploration of dominant spoilage bacteria in blue mussels (Mytilus edulis) stored under different modified atmospheres by MALDI-TOF MS in combination with 16S rRNA sequencing

The exploration of dominant spoilage bacteria in blue mussels (Mytilus edulis) stored under different modified atmospheres by MALDI-TOF MS in combination with 16S rRNA sequencing

Microbiota characterization of the green mussel Perna viridis at the tissue scale and its relationship with the environment

Determining the quality level of ready to-eat stuffed mussels with Arduino-based electronic nose

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