Next Article in Journal
In Vitro Bile Salt Hydrolase (BSH) Activity Screening of Different Probiotic Microorganisms
Previous Article in Journal
Chemical Profile and Bioactivities of Extracts from Edible Plants Readily Available in Portugal
 
 
Search for Articles:
Title / Keyword
Author / Affiliation / Email
Journal
Article Type
 
 
Advanced Search
 
Section
Special Issue
Volume
Issue
Number
Page
 
Journals
Foods
Volume 10
Issue 3
10.3390/foods10030671
foods-logo
Submit to this Journal Review for this Journal Propose a Special Issue
► Article Menu

Article Menu

share Share announcement Help format_quote Cite question_answer Discuss in SciProfiles thumb_up
...
Endorse textsms
...
Comment
first_page
settings
Order Article Reprints
Font Type:
Arial Georgia Verdana
Font Size:
Aa Aa Aa
Line Spacing:
Column Width:
Background:
Article

Primary Processing and Storage Affect the Dominant Microbiota of Fresh and Chill-Stored Sea Bass Products

by
Faidra Syropoulou
1,
Foteini F. Parlapani
1,
Stefanos Kakasis
1,
George-John E. Nychas
2 and
Ioannis S. Boziaris
1,*
1
Laboratory of Marketing and Technology of Aquatic Products and Foods, Department of Ichthyology and Aquatic Environment, School of Agricultural Sciences, University of Thessaly, Fytokou Street, 38446 Volos, Greece
2
Laboratory of Microbiology and Biotechnology of Foods, Department of Food Science and Human Nutrition, School of Food and Nutritional Sciences, Agricultural University of Athens, Iera Odos 75, 11855 Athens, Greece
*
Author to whom correspondence should be addressed.
Foods 2021, 10(3), 671; https://doi.org/10.3390/foods10030671
Submission received: 19 February 2021 / Revised: 14 March 2021 / Accepted: 17 March 2021 / Published: 22 March 2021
(This article belongs to the Section Food Quality and Safety)
Browse Figures
Review Reports Versions Notes

Abstract

:
The cultivable microbiota isolated from three sea bass products (whole, gutted, and filleted fish from the same batch) during chilled storage and the effect of primary processing on microbial communities in gutted and filleted fish were studied. Microbiological and sensory changes were also monitored. A total of 200 colonies were collected from TSA plates at the beginning and the end of fish shelf-life, differentiated by High Resolution Sequencing (HRM) and identified by sequencing analysis of the V3–V4 region of the 16S rRNA gene. Pseudomonas spp. followed by potential pathogenic bacteria were initially found, while Pseudomonas gessardii followed by other Pseudomonas or Shewanella species dominated at the end of fish shelf-life. P. gessardii was the most dominant phylotype in the whole sea bass, P. gessardii and S. baltica in gutted fish, while P. gessardii and P. fluorescens were the most dominant bacteria in sea bass fillets. To conclude, primary processing and storage affect microbial communities of gutted and filleted fish compared to the whole fish. HRM analysis can easily differentiate bacteria isolated from fish products and reveal the contamination due to handling and/or processing, and so help stakeholders to immediately tackle problems related with microbial quality or safety of fish.

1. Introduction

Aquaculture with its low carbon footprint is the most environmentally friendly source of animal protein for human nutrition, while traditional livestock such as beef, cattle, pig and poultry have been recognized as significant contributors to climate change due to the emissions of CO2 -eq at gigatonnes per annum [1,2]. Moreover, it has been characterized as the key to eradicate hunger and malnutrition worldwide even in the context of global population increase [3]. For Hellenes, aquaculture is a basic pillar of the national economy and one of the greatest weapons against recession. Greece is a significant world producer of farmed fish with production over 110 K tonnes annually, of which European sea bass (Dicentrarchus labrax) represents over 40% of production [4].
The impact of Hellenic fish production is high for the global food supply chain since approximately 80% of the total production is exported to the EU (e.g., Italy, Spain and France) and the rest of the world (e.g., USA, Canada and third countries). Fish such as European sea bass can be exported as whole, gutted, or filleted at low storage temperatures or in ice. However, tonnes of fish from aquaculture production are lost every year due to microbial spoilage and safety issues in pre- and post-farm gate, threatening food security and economy. During farming, harvesting, handling, primary processing and distribution, various microorganisms from the environment or workers might enter pre- or post-harvest handling/process and contaminate fish [5]. These microorganisms might be serious microbial spoilers of fish or seafood-borne pathogens. For gutted and filleted fish, contamination with such bacteria is more possible than the whole fish due to the use of tools and equipment in handling and processing.
In storage, a consortium of bacteria of the initial microbiota, the so-called Specific Spoilage Organisms (SSOs), can dominate over the rest of the microorganisms and produce metabolites responsible for the deterioration of sensory attributes and so the rejection of the product [6]. Meanwhile, the composition of the SSOs consortium can differ among products e.g., whole, gutted and filleted fish, due to a series of factors such as the composition of the initial microbiota (including the level and type of contamination), type of product, storage conditions, and microbial interactions [7]. Such differences can lead to different shelf-life of the products, even when they are stored under the same storage conditions, since different bacterial genera, species or strains can present different growth rates or metabolism.
To tackle problems related with microbial spoilage and safety in aquaculture and the fish processing industry, researchers attempt to find intelligent tools or toolkits for the rapid detection of microorganisms. High Resolution Melting (HRM) analysis has been used for identification of bacterial species or molecular typing [8,9,10,11]. In HRM, the amplicons can give similar melting curve profiles (fluorescence—temperature, >91% similarity) for the same bacterial species/strain [12]. Bacteria can be easily differentiated based on the shape of HRM normalized melting curves even when they present the same melting peak temperature [10,12]. Therefore, isolates can be grouped into the same bacterial species/strain and then identification is feasible by the sequencing of one or more representatives of each bacterial group, reducing the cost of sequencing [10,12]. This method has been proposed as a rapid method for differentiation of bacterial phylotypes, even those of a high degree of homology (including SSOs and hygiene indicators), in finfish and shellfish during storage [10,12].
The aim of this study was (a) to determine the cultivable microbiota isolated from three sea bass products (whole, gutted, and filleted fish from the same batch) during chilled storage, and (b) to study the effect of primary processing on microbial communities, including SSOs and hygiene indicators, in gutted and filleted European sea bass compared to the whole fish. In this context, HRM analysis was used for the differentiation of the cultivable microbiota, while the bacterial identification was performed by sequencing analysis of the V3–V4 region of the 16S rRNA gene.

2. Materials and Methods

2.1. Provision and Storage of Sea Bass

Three different European sea bass products (whole, gutted and filleted) were provided from a Greek aquaculture company in November 2019. The products were packaged in insulated boxes with melted ice and transferred to the laboratory of Marketing and Technology of Aquatic Products and Foods (University of Thessaly, Volos, Greece). The boxes of whole and gutted sea bass were stored at 0 °C for 18 days, while the ice was replaced every two days. The boxes of fillets were stored at 2 °C for 12 days. Fish were stored under the particular temperatures to simulate the commercial storage and distribution conditions.

2.2. Rejection Time

The sensory attributes (e.g., skin appearance, and odor of flesh) for the products were evaluated according to the Multilingual Guide to EU Freshness Grades for Fishery Products [13] by five trained panelists. Each panelist provided an independent evaluation. The rating of each sensory attribute was scored using a 5 to 1 scale, with 5 being the highest quality and 1 the lowest. A score of 3 was considered the score for minimum acceptability and the time point that average score was below 3 (which means that at least one out of the five panelists scored with 2) was considered the rejection time point, while a score of 1 was attributed to a totally spoiled sample. The aim of the evaluation was to determine the rejection time point of the three products. The evaluation was carried out every 3 days for the whole and gutted fish, and every 2 days for fish fillets.

2.3. Microbiological Analysis

In order to prepare the first decimal dilution, ten grams (10 g) of sea bass tissue were placed aseptically into a stomacher bag with 90 mL MRD (Maximum Recovery Diluent, 0.1% w/v peptone, 0.85% w/v NaCl) and homogenized for 3 min using a Stomacher (Bug Mixer, Interscience, London, UK). Enumeration of the following microorganisms was carried out with the spread plating method, using 0.1 mL of the serial dilutions in MRD: (1) aerobic plate count (APC) on TSA (Tryptone Soy Agar) incubated for 48–72 h at 25 °C and (2) Pseudomonas spp., on cetrimidefucidin-cephaloridine agar (CFC), incubated for 48 h at 25 °C. The enumeration of the following microorganisms was carried out with the pour plating method, using 1 mL of the serial dilution in MRD: (1) H2S-producing bacteria on Iron Agar (IA) by counting only black colonies, after incubation at 25 °C for 72 h, (2) Lactic Acid Bacteria on De Man, Rogosa, Sharpe agar (MRS) after incubation at 25 °C for 72 h and (3) Enterobacteriaceae on Violet Red Bile Glucose agar (VRBGA), incubated at 37 °C for 24 h. The analysis was performed every 3 days for the whole and gutted fish, and every 2 days for fish fillets. The results were expressed as mean log cfu g−1 ± standard deviation of 3 replicates (3 whole, gutted, or filleted fish per time point, 3 fish × 7 sampling points = 21 fish per product). Microbiological media were obtained from LAB M (Lancashire, UK) and Iron Agar was prepared according to Gram et al. [14].

2.4. Identification of Bacteria Isolated from the Sea Bass Products

2.4.1. Isolation of Colonies and DNA Extraction

A percentage of 30–50% of the colonies grown on TSA plates (each one containing ~30–300 colonies) at the beginning and at the end of shelf life for each product (56, 72 and 72 colonies in total for the whole, gutted, and filleted fish, respectively), was randomly obtained for the molecular analysis. Each isolate was sub-cultured in TSA and incubated at 25 °C for 24–48 h.
Before the DNA extraction an overnight culture at 37 °C, of each isolate, in TSB was prepared. A volume of 200 μL of the culture was used for the DNA extraction with the Nucleospin Microbial DNA kit (Macherey-Nagel GmbH & Co. KG, Düren, Germany). The DNA samples were stored at −20 °C until the 16S rRNA gene analysis by HRM.

2.4.2. HRM Analysis

The pair of universal primers S-DBact-0341-b-S-17 (5′-CCTACGGGNGGCWGCAG-3′) and S-D-Bact-0785-a-A-21 (5′-GACTACHVGGGTATCTAATCC-3′) according to Klindworth et al. [15] was used for the amplification of the V3–V4 region of the 16S rRNA gene on a PCR max Eco48 Real-time qPCR system (Cole-Parmer Ltd., Stone, UK). The reaction mixture (final volume of 20 μL) consisted of KAPA HRM FAST Master Mix 1X (Kapa Biosystems Pty Ltd., Cape Town, South Africa), 1.5 mM MgCl2, 0.2 μM of each primer and 20 ng genomic DNA. The PCR conditions were (for 40 cycles) as follows: a pre-PCR step (polymerase activation) at 95 °C for 3 min, denaturation at 95 °C for 5 s, annealing at 57 °C for 30 s and elongation at 72 °C for 40 s. After PCR amplification, HRM was performed with a pre-melt step at 92 °C for 15 s followed by a melt step from 75 to 92 °C. The experiments were performed in triplicate.

2.4.3. Sequencing

The 50% of the isolates from each of the bacterial groups that presented both similar melting peak temperature and normalized melting curve shape in HRM, were sequenced. Sanger sequencing was performed using an ABI Prism 3730 XL capillary sequencer by CeMIA SA (Larissa, Greece). For each sample, forward and reverse reads were assembled. BLAST function was used for the detection of the closest relatives [16]. Sequence data were aligned using the Clustal Omega algorithm from Geneious Prime V2020.1.1 [17]. A cut-off level of 98% sequence similarity to GenBank entries was used to define the closest relatives of the sequences. Sequences of dominant phylotypes found in this study are presented as supplementary data.

2.5. Statistical Analysis

Differences of means in microbial counts were statistically tested. STATISTICA 6.0 was used for Analysis of Variance followed by Tukey’s significant difference test. A probability level of p ≤ 0.05 was considered statistically significant.

3. Results

3.1. Shelf-Life of Sea Bass Products

Fish freshness was excellent at the beginning of shelf-life for all three fish products (Figure 1). Skin was bright, shiny and iridescent, gills were bright red, eyes had convex lens and translucent cornea, and odor was fresh/seaweedy, in whole and gutted fish (for the latter the peritoneum was glossy, brilliant, and difficult to tear from flesh). For fillets, the appearance was translucent, glossy, presented a natural color and odor was marine and fresh. Sensory attributes diminished gradually with time.
At the time point of minimum acceptability (sensory score equal to 3), skin was dull with some bleaching, eyes had slightly concave and opaque cornea, gills were brown and odor was slightly rancid for whole and gutted fish (for the latter the peritoneum was gritty and easy to tear from flesh). Sea bass fillets represented an opaque and dull appearance and stale odor. Then, fish was degraded to unfit and rejected (sensory score less than 3). As determined by sensory assessment, the shelf-life of the whole, gutted, and filleted sea bass was 15, 15 and 10 days, respectively. The grade (5, 4, 3, 2, 1) of general appearance and odor for each product related with days of storage are shown in Figure 1.

3.2. Microbial Populations

At the beginning of fish shelf-life, APC was found at similar population levels (4.96 ± 0.35 and 5.07 ± 0.19 log cfu/g, respectively) for the whole and filleted fish (p > 0.05), but at lower population levels for the gutted fish (3.77 ± 0.07 log cfu/g; p ≤ 0.05). APC increased during the storage, reaching the level of 7.46 ± 0.33, 8.24 ± 0.76, and 8.19 ± 0.22 log cfu/g at the time of minimum acceptability level (day 15, 15 and 10; p ≤ 0.05 between whole and other fish products, p > 0.05 for gutted and filleted fish) and 7.90 ± 0.30, 8.88 ± 0.62, and 8.86 ± 0.15 log cfu/g at the rejection time point (day 18, 18 and 12) for the whole, gutted and filleted sea bass, respectively (Figure 2).
The populations counted on CFC, IA, MRS, and VRBGA were initially at the levels of 4.40 ± 0.12, 4.19 ± 0.28, 2.06 ± 0.08 and 2.33 ± 0.10 log cfu/g for whole fish, 3.41 ± 0.04, 2.41 ± 0.04, 1.85 ± 0.21 and 1.72 ± 0.34 log cfu/g for gutted fish, and 5.02 ± 0.22, 4.16 ± 0.04, 3.61 ± 0.43 and 1.95 ± 1.35 log cfu/g for fish fillets (Figure 2), thus showing that the populations on CFC and IA were much higher compared to those counted on MRS, and VRBGA (p ≤ 0.05), at the beginning of fish shelf-life. Additionally, gutted sea bass presented lower populations for all microorganisms tested compared to the whole and filleted fish (p ≤ 0.05). At the minimum acceptability level, the population on CFC, IA, MRS, and VRBGA were reached at the levels of 7.54 ± 0.13, 6.87 ± 0.12, 5.98 ± 0.28 and 6.33 ± 0.10 log cfu/g for whole fish, 8.28 ± 0.47, 7.73 ± 0.74, 4.57 ± 0.81 and 5.01 ± 0.44 log cfu/g for gutted fish, and 8.13 ± 0.08, 7.42 ± 0.24, 6.01 ± 1.01 and 5.82 ± 1.16 log cfu/g for fish fillet, presenting the domination of Pseudomonas sp. followed by H2S-producing bacteria for all three products (p ≤ 0.05). These were also the most dominant microorganisms at the end of fish shelf-life, reaching the levels of 7.79 ± 0.08, and 7.37 ± 0.23 log cfu/g, 8.87 ± 0.54, and 7.57 ± 0.81 log cfu/g and 8.76 ± 0.13, and 8.14 ± 0.07 log cfu/g for Pseudomonas sp. and H2S-producing bacteria in three products, respectively (Figure 2).

3.3. Bacterial Communities of Fresh and Chill-Stored Sea Bass Products

Two hundred (200) isolates presented 19 distinct HRM curve profiles (data not shown) and classified into 19 groups, based on both the melting temperature peaks and shape of normalized melting curves of the amplicons using HRM analysis (Table 1). Using the 16S rRNA gene sequencing analysis, the groups were found to consist of three different phylotypes of Pseudomonas sp. (SBS-FS3, SBS-FS4 and SBS-FS5), two phylotypes of Shewanella putrefaciens (SBS-FS7 and SBS-FS8), and phylotypes of Pseudomonas putida, Pseudomonas gessardii, Pseudomonas fluorescens, Pseudomonas fragi, Aeromonas hydrophila, Stenotrophomonas maltophilia, Shewanella baltica, Bacillus paralicheniformis, Klebsiella oxytoca, Serratia fonticola, Serratia grimessi, Enterobacter ludwigii, Rouxiella sp. and Staphylococcus warneri (Table 1). Of these phylotypes, some were found to be common between whole and processed sea bass, while others were present in whole or gutted and/or filleted fish, at the beginning and/or at the end of shelf-life (Figure 3).
Initially (day 0), Pseudomonas sp. (phylotype SBS-FS3) followed by S. maltophilia, P. putida, A. hydrophila, K. oxytoca, B. paralicheniformis and S. fonticola were the most dominant phylotypes for the whole sea bass (Figure 3). P. putida followed by A. hydrophila, S. warneri, Pseudomonas sp. (phylotype SBS-FS3), P. gessardii, P. fluorescens, S. grimessi and E. ludwigii dominated in fresh gutted fish, while Pseudomonas sp. (phylotype SBS-FS4) and Rouxiella sp. (in equal abundances) followed by P. putida, P. fluorescens, A. hydrophila, Pseudomonas sp. (phylotype SBS-FS3), S. grimessi, S. warneri and E. ludwigii dominated in fresh sea bass fillets (Figure 3).
At the end of fish shelf-life (day 15 for the whole and gutted fish and day 10 for fish fillets), P. gessardii at abundance of 55.6% followed by Pseudomonas sp. (phylotype SBS-FS3), P. putida, S. baltica and S. putrefaciens (phylotype SBS-FS8) at lower abundances, were the most dominant bacteria grown on TSA for the whole sea bass (Figure 3). P. gessardii and S. baltica (37.5% and 29.2% respectively) were found at higher abundances compared to the rest microbiota for the gutted fish, while P. gessardii and P. fluorescens (25.0% and 20.0% respectively) followed by S. baltica, Pseudomonas sp. (phylotype SBS-FS5), Pseudomonas sp. (phylotype SBS-FS4) and other species of Pseudomonas and Shewanella were the most dominant bacteria in sea bass fillets (Figure 3).

4. Discussion

Microorganisms such as Pseudomonas, Bacillus and Aeromonas can be usually found at the beginning of fish shelf-life [6], including the European sea bass [12]. In the present study, phylotypes belonging to Pseudomonas sp., P. putida, P. gessardii, P. fluorescens, B. paralicheniformis and A. hydrophila were initially found in the whole, gutted and/or filleted sea bass. Such bacteria usually originate from the environment e.g., seawaters, freshwaters or sediment, in which fish live [5]. Of these, P. fluorescens and/or P. putida have been also found to constitute the most predominant bacteria of gilthead sea bream [18,19,20] or other fish [21,22]. Based on HRM melting curve profiles, Pseudomonas sp. (phylotype SBS-FS3) was a common phylotype in all three sea bass products, while Pseudomonas sp. (phylotype SBS-FS4) was only found in fish fillets. Pseudomonas sp. strain SeaQual_P_B791/7 (MT626826) and Pseudomonas sp. strain COW5 (MT507079) were found to be the closest characterized relatives of the two aforementioned phylotypes (Table 1). Of them, the former has been isolated from skin ulcerations in cod (Gadus morhua) from the Baltic Sea (Pekala-Safinska et al., Unpublished data), while the latter was from the white cocoyam rhizosphere (Oni et al., Unpublished data). Also, the phylotypes P. putida (found in whole, gutted, and filleted fish) and P. gessardii (found in gutted fish) were found to be highly close relatives with two phylotypes, the P. putida strain SeaQual_P_B75 (MT626824) and the P. gessardii strain SeaQual_P_B791/1 (MT626825), that have been also isolated from skin ulcerations in cod from the Baltic Sea (Pekala-Safinska et al., Unpublished data). Additionally, a highly close relative of P. fluorescens strain UTB_111 (MT624739) which has been found in sediments from Byers Peninsula, Livingston Island in Antarctica (Rubiano-Labrador et al., Unpublished data), was also found to be abundant in gutted and filleted fresh fish in the present study. Pseudomonas spp. have been recognized as SSOs of various seafood from the Mediterranean Sea, such as gilthead sea bream [20,23,24], European sea bass [25,26,27,28], and Mediterranean boque [29], which were stored aerobically at low temperatures (0–10 °C). However, it has been observed that the domination of a Pseudomonas phylotype with higher growth rate and different metabolism than another phylotype (even of a high degree of homology of the 16S rRNA sequence), can sometimes affect sensory attributes and product shelf-life [18,19,30]. For this reason, the knowledge of phylotypes and their abundances or populations in fresh fish is of high priority for seafood microbiology specialists.
Shelf-life depends on the initial APC level, the composition of the initial microbiota of fish, microbial interactions, the exposure conditions of fish after catch (e.g., temperature and time), the storage conditions, etc. In fact, all these factors determine the domination of SSOs in fish and so the production of metabolites that further deteriorate fish quality (production of off-odors and -flavors) and lead to the rejection of the product [6]. Herein, Pseudomonas and H2S-producing bacteria were found to dominate over the other microorganisms tested during the storage, reaching spoilage population levels of 7–9 logs and causing the sensory rejection (fish determined as unfit) after days 15, 15 and 10 for the whole, gutted, and filleted fish, respectively. Indeed, such bacteria were also found to compose the cultivable sea bass microbiota using molecular approach. Although the initial microbiota of the whole and gutted fish was not similar in the present study, both products presented the same shelf-life (15 days) and the same potential spoilers (same phylotypes) such as P. gessardii, P. putida, Pseudomonas sp. (phylotype SBS-FS3), S. baltica, with P. gessardii dominating in both cases. However, all these bacteria were found at different abundances between the two products. This could be explained if we take into account that the gutted fish had been contaminated during primary processing, with some potential pathogens that probably exhibit different interaction behaviors than those present in the whole fish. Regarding sea bass fillets, the shelf-life (10 days) was much shorter than the other products (15 days) even though it was stored only 1–2 °C higher than them. Additionally, fish fillets presented significant differences on the microbiota composition both at the beginning and the end of shelf-life compared to the whole and gutted fish. To give clear answers on the aforementioned queries (e.g., on the much shorter shelf-life of the fish fillets in comparison to the whole and gutted fish), the spoilage potential of each isolated phylotype has to be elucidated in a future study.
The initial microbiota of sea bass also consisted of potential food-borne pathogens that are usually linked with contamination from the environment in handling and primary processing; for example, K. oxytoca, S. fonticola, E. ludwigii and Rouxiella sp. from the human or animal digestive tract, and S. warneri and S. maltophilia from human hands, nose, throat, etc. In our study, HRM gave similar melting curve profiles for S. grimessi, S. warneri and E. ludwigii in both gutted and filleted fish, but this was not observed for the whole fish (these phylotypes were not detected in the whole fish). Also, Rouxiella sp. was isolated from neither whole nor gutted fish. The presence of such bacteria in gutted and filleted fish compared to the whole fish indicates the effect of primary processing on the sea bass products microbiota since all fish originated from the same batch. Indeed, food handlers, food-contact surfaces, tools and equipment, washing water, other contaminated foods or ingredients, etc., have been found to contaminate foods with potential pathogens [31,32,33]. For example, Yap et al. [33] reported that the handling of sushi with bare hands significantly increases the population of total microorganisms and hygiene indicators such as S. aureus compared to handling by gloved hands. Also, proper hand washing in food handling and preparation minimizes the spread of pathogens [32]. Herein, the presence of potential foodborne pathogens that might be transferred from the environment to the gutted and filleted fish during handling, filleting, etc., reveals the urgent need for updated or new strategies to follow towards microbial safety and quality assurance in aquaculture and the fish processing industry. HRM could be used as a tool to reveal the contamination in fish in order for stakeholders to implement measures that improve the post-farm gate practices, e.g., by reinforcing Good Hygiene Practices. The rapid detection of contamination and the immediate solving of problems related with microbial quality or safety of fish will increase competitiveness of the products for the aquaculture sector and fish processing industry.

5. Conclusions

This study revealed the dominant phylotypes in the most common commercial sea bass products of the Hellenic aquaculture (whole, gutted, and filleted fish) and showed the effect of primary processing and storage on the products microbiota. Significant fish spoilers such as members of Pseudomonas (e.g., P. gessardii, P. putida, P. fluorescens, P. fragi) and Shewanella (e.g., S. baltica, and S. putrefaciens), as well as potential pathogens e.g., A. hydrophila, K. oxytoca, S. fonticola, S. grimessi, E. ludwigii, Rouxiella sp. and S. warneri, composed the cultivable microbiota of sea bass products at the beginning and/or the end of fish shelf-life. Moreover, differences were observed on the microbiota composition of the fresh and chill-stored gutted and filleted fish compared to the whole fish due to the contamination during handling and primary processing. Based on the findings, we highlight the urgent need for updated or new strategies to follow towards microbial safety and quality assurance in aquaculture/fish industry. This could be achieved through the development and establishment of new tools or toolkits e.g., intelligent microbial tracking systems that lead to the rapid detection of fish spoilers or hazards and the immediate implementation of the corrective actions in pre- and post-farm gate.

Supplementary Materials

The following are available online at https://www.mdpi.com/2304-8158/10/3/671/s1, File: Supplementary materials.

Author Contributions

F.S.: Methodology, Validation, Investigation, Formal Analysis, Data Curation, Writing—Review & Editing. F.F.P.: Conceptualization, Methodology, Validation, Investigation, Data Curation, Writing—Original Draft Preparation, Writing—Review & Editing. S.K.: Methodology, Validation, Investigation, Formal Analysis G.-J.E.N.: Writing-review & editing. I.S.B.: Project Administration, Conceptualization, Funding acquisition, Supervision, Resources, Writing—Review & Editing. All authors have read and agreed to the published version of the manuscript.

Funding

The project entitled “Rapid Fish FReshness Assessment Methodology” (ReFFFRAME) with MIS 5028331 have received funding from the European Union, European Maritime and Fisheries Fund, in the context of the Operational Programme “Maritime and Fisheries 2014–2020”.

Institutional Review Board Statement

Not applicable.

Informed Consent Statement

Not applicable.

Conflicts of Interest

The authors declare no conflict of interest. The funders had no role in the design of the study; in the collection, analyses, or interpretation of data; in the writing of the manuscript, or in the decision to publish the results.

References

  1. Gerber, P.J.; Steinfeld, H.; Henderson, B.; Mottet, A.; Opio, C.; Dijkman, J.; Falcucci, A.; Tempio, G. Tackling Climate Change through Livestock—A Global Assessment of Emissions and Mitigation Opportunities; Food and Agriculture Organization of the United Nations (FAO): Rome, Italy, 2013. [Google Scholar]
  2. Hua, K.; Cobcroft, J.M.; Cole, A.; Condon, K.; Jerry, D.R.; Mangott, A.; Praeger, C.; Vucko, M.J.; Zeng, C.; Zenger, K.; et al. The Future of Aquatic Protein: Implications for Protein Sources in Aquaculture Diets. One Earth 2019, 1, 316–329. [Google Scholar] [CrossRef] [Green Version]
  3. Food and Agriculture Organization (FAO). The State of World Fisheries and Aquaculture 2018—Meeting the Sustainable Development Goals; FAO: Rome, Italy, 2018. [Google Scholar]
  4. Food and Agriculture Organization (FAO). Fisheries and Aquaculture Department. 2020. Available online: http://www.fao.org/fishery/countrysector/naso_greece/en (accessed on 20 October 2020).
  5. Parlapani, F.F. Microbial Diversity of Seafood. Curr. Opin. Food Sci. 2021, 37, 45–51. [Google Scholar] [CrossRef]
  6. Gram, L.; Huss, H.H. Microbiological spoilage of fish and fish products. Int. J. Food Microbiol. 1996, 33, 121–137. [Google Scholar] [CrossRef]
  7. Boziaris, I.S.; Parlapani, F.F. Specific Spoilage Organisms (SSO) in Fish. In Microbiological Quality of Food: Foodborne Spoilers; Bevilacqua, A., Corbo, M.R., Sinigaglia, M., Sykes, R., Eds.; Woodhead Publishing: Cambridge, UK, 2017; pp. 60–98. [Google Scholar]
  8. Liu, Y.; Singh, P.; Mustapha, A. High-resolution melt curve PCR assay for specific detection of E. coli O157:H7 in beef. Food Control 2018, 86, 275–282. [Google Scholar] [CrossRef]
  9. Omiccioli, E.; Amagliani, G.; Brandi, G.; Magnani, M. A new platform for Real-Time PCR detection of Salmonella spp., Listeria monocytogenes and Escherichia coli O157 in milk. Food Microbiol. 2009, 26, 615–622. [Google Scholar] [CrossRef] [PubMed]
  10. Parlapani, F.F.; Syropoulou, F.; Tsiartsafis, A.; Ekonomou, S.; Madesis, P.; Exadactylos, A.; Boziaris, I.S. HRM analysis as a tool to facilitate identification of bacteria from mussels during storage at 4 °C. Food Microbiol. 2020, 85, 103304. [Google Scholar] [CrossRef] [PubMed]
  11. Tamburro, M.; Ripabelli, G. High Resolution Melting as a rapid, reliable, accurate and cost-effective emerging tool for genotyping pathogenic bacteria and enhancing molecular epidemiological surveillance: A comprehensive review of the literature. Ann. Ig. 2017, 29, 293–316. [Google Scholar]
  12. Syropoulou, F.; Parlapani, F.F.; Bosmali, I.; Madesis, P.; Boziaris, I.S. HRM and 16S rRNA gene sequencing reveal the cultivable microbiota of the European seabass during ice storage. Int. J. Food Microbiol. 2020, 327, 108658. [Google Scholar] [CrossRef]
  13. Howgate, P.; Johnston, A.; Whittle, K.J. Multilingual Guide to EC Freshness Grades for Fishery Products; Marine Laboratory, Scottish Office of Agriculture, Environment and Fisheries Department: Aberdeen, UK, 1992. [Google Scholar]
  14. Gram, L.; Trolle, G.; Huss, H.H. Detection of specific spoilage bacteria from fish stored at low (0oC) and high (20oC) temperatures. Int. J. Food Microbiol. 1987, 4, 65–72. [Google Scholar] [CrossRef]
  15. Klindworth, A.; Pruesse, E.; Schweer, T.; Peplies, J.; Quast, C.; Horn, M.; Glöckner, F.O. Evaluation of general 16S ribosomal RNA gene PCR primers for classical and next-generation sequencing-based diversity studies. Nucleic Acids Res. 2013, 41, e1. Available online: https://pubmed.ncbi.nlm.nih.gov/22933715/ (accessed on 25 October 2020). [CrossRef]
  16. Basic Local Alignment Search Tool (BLAST). Available online: http://www.ncbi.nlm.nih.gov/BLAST/ (accessed on 25 October 2020).
  17. geneious. Available online: http://www.geneious.com (accessed on 25 October 2020).
  18. Parlapani, F.F.; Verdos, G.I.; Haroutounian, S.A.; Boziaris, I.S. The dynamics of Pseudomonas and volatilome during the spoilage of gutted sea bream stored at 2 °C. Food Control 2015, 55, 257–265. [Google Scholar] [CrossRef]
  19. Parlapani, F.F.; Kormas, K.A.; Boziaris, I.S. Microbiological changes, shelf-life and identification of initial and spoilage microbiota of sea bream fillets stored under various conditions using 16S rRNA gene analysis. J. Sci. Food Agric. 2015, 95, 2386–2394. [Google Scholar] [CrossRef] [PubMed]
  20. Tryfinopoulou, P.; Tsakalidou, E.; Nychas, G.-J.E. Characterization of Pseudomonas spp. associated with spoilage of gilt-head sea bream stored under various conditions. Appl. Environ. Microbiol. 2002, 68, 65–72. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  21. Boulares, M.; Mankai, M.; Aouadhi, C.; Olfa, B.M.; Hassouna, M. Characterisation and identification of spoilage psychotrophic Gram-negative bacteria originating from Tunisian fresh fish. Ann. Microbiol. 2013, 63, 733–744. [Google Scholar] [CrossRef]
  22. Duan, S.; Zhou, X.; Xiao, H.; Miao, J.; Zhao, L. Characterization of Bacterial Microbiota in Tilapia Fillets under Different Storage Temperatures. J. Food Sci. 2019, 84, 1487–1493. [Google Scholar] [CrossRef]
  23. Koutsoumanis, K.; Nychas, G.-J.E. Application of a systematic experimental procedure to develop a microbial model for rapid fish shelf-life predictions. Int. J. Food Microbiol. 2000, 60, 171–184. [Google Scholar] [CrossRef]
  24. Parlapani, F.F.; Boziaris, I.S. Monitoring of spoilage and determination of microbial communities based on 16S rRNA gene sequence analysis of whole sea bream stored at various temperatures. LWT-Food Sci. Technol. 2016, 66, 553–559. [Google Scholar] [CrossRef]
  25. Koutsoumanis, K.; Giannakourou, M.C.; Taoukis, P.S.; Nychas, G.-J.E. Application of shelf life decision system (SLDS) to marine cultured fish quality. Int. J. Food Microbiol. 2002, 73, 375–382. [Google Scholar] [CrossRef]
  26. Parlapani, F.F.; Haroutounian, S.A.; Nychas, G.-J.E.; Boziaris, I.S. Microbiological spoilage and volatiles production of gutted European sea bass stored under air and commercial modified atmosphere package at 2 °C. Food Microbiol. 2015, 50, 44–53. [Google Scholar] [CrossRef]
  27. Papadopoulos, V.; Chouliara, I.; Badeka, A.; Savvaidis, I.N.; Kontominas, M.G. Effect of gutting on microbiological, chemical and sensory properties of aquacultured sea bass (Dicentrarchus labrax) stored in ice. Food Microbiol. 2003, 20, 411–420. [Google Scholar] [CrossRef]
  28. Taliadourou, D.; Papadopoulos, V.; Domvridou, E.; Savvaidis, I.N.; Kontominas, M.G. Microbiological, chemical and sensory changes of whole and filleted Mediterranean aquacultured sea bass (Dicentrarchus labrax) stored in ice. J. Sci. Food Agric. 2003, 83, 1373–1379. [Google Scholar] [CrossRef]
  29. Koutsoumanis, K.; Nychas, G.-J.E. Chemical and sensory changes associated with microbial flora of Mediterranean Boque (Boops boops) stored aerobically at 0, 3, 7 and 10 °C. Appl. Environ. Microbiol. 1999, 65, 698–706. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  30. Parlapani, F.F.; Malouchos, A.; Haroutounian, S.A.; Boziaris, I.S. Microbial and non-microbial origin volatile organic compounds produced on model fish substrate inoculated or not with gilt-head sea bream spoilage bacteria. LWT Food Sci. Technol. 2017, 78, 54–62. [Google Scholar] [CrossRef]
  31. Alvarez-Ordóñez, A.; Leong, D.; Morgan, C.A.; Hill, C.; Gahan, C.G.; Jordan, K. Occurrence, Persistence, and Virulence Potential of Listeria ivanovii in Foods and Food Processing Environments in the Republic of Ireland. BioMed Res. Int. 2015, 350526. [Google Scholar] [CrossRef] [Green Version]
  32. Pellegrino, R.; Crandall, P.G.; Seo, H.-S. Hand washing and disgust response to handling different food stimuli between two different cultures. Food Res. Int. 2015, 76 Pt 2, 301–308. [Google Scholar] [CrossRef]
  33. Yap, M.; Chau, M.L.; Hartantyo, S.H.P.; Oh, J.Q.; Aung, K.T.; Gutiérrez, R.A.; Ng, L.C. Microbial Quality and Safety of Sushi Prepared with Gloved or Bare Hands: Food Handlers’ Impact on Retail Food Hygiene and Safety. J. Food Prot. 2019, 82, 615–622. [Google Scholar] [CrossRef] [PubMed]
Foods 10 00671 g001 550
Figure 1. Sensory score of whole (a), gutted (b) and filleted (c) sea bass stored aerobically for 18, 18 and 12 days, respectively, at chilled temperatures. The numbers 5, 4, 3, 2 and 1 corresponds to a 5-point scale, with 5 indicating the highest freshness level and 1 the lowest (totally spoiled). A score of 3 was considered the score for minimum acceptability.
Figure 1. Sensory score of whole (a), gutted (b) and filleted (c) sea bass stored aerobically for 18, 18 and 12 days, respectively, at chilled temperatures. The numbers 5, 4, 3, 2 and 1 corresponds to a 5-point scale, with 5 indicating the highest freshness level and 1 the lowest (totally spoiled). A score of 3 was considered the score for minimum acceptability.
Foods 10 00671 g001
Foods 10 00671 g002a 550Foods 10 00671 g002b 550
Figure 2. Microbiological changes of whole (a), gutted (b) and filleted (c) sea bass stored at chilled temperatures. APC (●), Pseudomonas spp. (○), H2S-producing bacteria (■), LAB (□) and Enterobacteriaceae (▲). Each data point and the error bars show the mean and ± st. dev. of 3 replicates. The vertical dashed lines indicate the end of fish shelf-life.
Figure 2. Microbiological changes of whole (a), gutted (b) and filleted (c) sea bass stored at chilled temperatures. APC (●), Pseudomonas spp. (○), H2S-producing bacteria (■), LAB (□) and Enterobacteriaceae (▲). Each data point and the error bars show the mean and ± st. dev. of 3 replicates. The vertical dashed lines indicate the end of fish shelf-life.
Foods 10 00671 g002aFoods 10 00671 g002b
Foods 10 00671 g003 550
Figure 3. Microbiota of whole, gutted, and filleted chill-stored sea bass at the beginning and at the end of shelf-life, as determined by HRM and 16S rRNA gene sequencing analysis.
Figure 3. Microbiota of whole, gutted, and filleted chill-stored sea bass at the beginning and at the end of shelf-life, as determined by HRM and 16S rRNA gene sequencing analysis.
Foods 10 00671 g003
Table
Table 1. Melting peak temperature (mean ± st. dev of three replicates) and closest relatives of the 200 analyzed isolates.
Table 1. Melting peak temperature (mean ± st. dev of three replicates) and closest relatives of the 200 analyzed isolates.
GroupsIsolates Peaks (°C)Phylotypes Closest RelativesIdentity (%)GenBank Number *
15185.3 ± 0.1SBS-FS1Pseudomonas gessardii100MT626825
22385.25 ± 0.05SBS-FS2Pseudomonas putida100MT626824
32185.3 ± 0.1SBS-FS3Pseudomonas sp. 99.75MT626826
41085.9 ± 0.1SBS-FS4Pseudomonas sp. 99.75MT507079
5685.5 ± 0.1SBS-FS5Pseudomonas sp. 100MT585910
62487.2 ± 0.1SBS-FS6Shewanella baltica100MT516290
7486.8 ± 0.1SBS-FS7Shewanella putrefaciens99.75AB205575
8386.8SBS-FS8Shewanella putrefaciens99.75MN865784
91086.6 ± 0.1SBS-FS9Aeromonas hydrophila100MT416424
10287.4SBS-FS10Bacillus paralicheniformis99.74MT645610
11486.95 ± 0.05SBS-FS11Serratia grimesii100MN826574
12286.8SBS-FS12Serratia fonticola100CP054160
13287.9SBS-FS13Klebsiella oxytoca100MN967236
141485.2 ± 0.1SBS-FS14Pseudomonas fluorescens99.75MT624739
15486.4 ± 0.1SBS-FS15Stenotrophomonas maltophilia100CP040432
16485.1 ± 0.1SBS-FS16Pseudomonas fragi99.75MT631986
17685.7 ± 0.1SBS-FS17Staphylococcus warneri100MT642942
18685.9 ± 0.1SBS-FS18Rouxiella sp.100MK590241
19487.8 ± 0.1SBS-FS19Enterobacter ludwigii99.75MT507089
* Genbank numbers belong to the closest characterized relatives of the phylogroups identified in this study.
Publisher’s Note: MDPI stays neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Share and Cite

MDPI and ACS Style

Syropoulou, F.; Parlapani, F.F.; Kakasis, S.; Nychas, G.-J.E.; Boziaris, I.S. Primary Processing and Storage Affect the Dominant Microbiota of Fresh and Chill-Stored Sea Bass Products. Foods 2021, 10, 671. https://doi.org/10.3390/foods10030671

AMA Style

Syropoulou F, Parlapani FF, Kakasis S, Nychas G-JE, Boziaris IS. Primary Processing and Storage Affect the Dominant Microbiota of Fresh and Chill-Stored Sea Bass Products. Foods. 2021; 10(3):671. https://doi.org/10.3390/foods10030671

Chicago/Turabian Style

Syropoulou, Faidra, Foteini F. Parlapani, Stefanos Kakasis, George-John E. Nychas, and Ioannis S. Boziaris. 2021. "Primary Processing and Storage Affect the Dominant Microbiota of Fresh and Chill-Stored Sea Bass Products" Foods 10, no. 3: 671. https://doi.org/10.3390/foods10030671

Note that from the first issue of 2016, this journal uses article numbers instead of page numbers. See further details here.

Article Metrics

Back to TopTop