Next Article in Journal
Processing and Utilization Technology of Root and Tuber Food
Previous Article in Journal
Benzyl Isothiocyanate and Resveratrol Synergistically Alleviate Dextran Sulfate Sodium-Induced Colitis in Mice
 
 
Search for Articles:
Title / Keyword
Author / Affiliation / Email
Journal
Article Type
 
 
Advanced Search
 
Section
Special Issue
Volume
Issue
Number
Page
 
Journals
Foods
Volume 13
Issue 13
10.3390/foods13132081
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

Behavior of Spoilage Bacterial Communities in Different Cuts of Enshi Black Pork under Refrigerated Storage (4 °C)

by
Ying Zhang
1,2,†,
Jiang Yang
1,†,
Lijuan Peng
1,2,
E Liao
1,2 and
Haibin Wang
1,2,*
1
College of Food Science and Engineering, Wuhan Polytechnic University, Wuhan 430023, China
2
Key Laboratory for Processing and Transformation of Agricultural Products, Wuhan Polytechnic University, Wuhan 430023, China
*
Author to whom correspondence should be addressed.
†
These authors contributed equally to this work.
Foods 2024, 13(13), 2081; https://doi.org/10.3390/foods13132081
Submission received: 21 May 2024 / Revised: 15 June 2024 / Accepted: 24 June 2024 / Published: 1 July 2024
(This article belongs to the Section Meat)
Browse Figures
Versions Notes

Abstract

:
The Enshi black pig is a Chinese native breed known for its rich nutrition content and high quality, which has notable traction in the consumer market. In this study, the potential impact of the main commercial cuts from Enshi black pork carcasses (ham, loin, and belly) on the bacteria community of spoiled meat under refrigerated storage (4 °C) was assessed by using a high-throughput sequencing method. Moreover, the spoilage potential of isolated strains from spoiled pork was investigated. The results demonstrated significant differences (p < 0.05) in bacterial community diversity and composition among spoiled ham, loin, and belly samples. Linear discriminant analysis effect size (LEfSe) analysis revealed a total of 20 significantly different potential bacterial biomarkers, with the dominant genera of Pseudomonas, Psychrobacter, Shewanella and Carnobacterium. Additionally, C. divergens THT1-5, isolated from spoiled ham samples, displayed cold adaptation and higher spoilage potential in Enshi black pork. These findings are helpful for identifying key factors contributing to spoilage in Enshi black pork and developing strategies to inhibit bacterial growth during preservation.

Graphical Abstract

1. Introduction

Pork, being one of the most common meat products worldwide, has a significant influence across various regions [1,2,3]. In particular, China stands out as a major player in pork production and consumption, boasting a substantial market [4,5]. Recent data from 2020 showed that the global pork output has reached 97.88 million tons, with China accounting for an impressive 38.83% share, surpassing output levels in other countries by a significant margin [6]. Within China, the Enshi black pig breed has gained notable traction in the consumer market due to its unique local characteristics [7,8]. This breed is known for its high-quality meat, rich in nutrition and high in intramuscular fat content, characterized by high levels of unsaturated fatty acids, premium fat quality, a bright red color, and tender meat texture [9]. In addition to breed, factors such as age, fatness and leanness as well as anatomical location play crucial roles in shaping the quality of pork cuts [10]. Notably, pork ham, loin, and belly emerge as important commercial cuts derived from pork carcasses, showcasing variations in nutritional content, culinary properties, taste, and flavor.
During storage, microbial spoilage is commonly considered the primary factor contributing to the deterioration of meat quality [11,12]. The rich protein and fat content in pork make it easy for microorganisms to thrive, thereby affecting the overall quality of meat [13,14]. The spoilage bacteria in meat are conventionally categorized as Gram-negative rods, Gram-positive spore formers, lactic acid bacteria, and other Gram-positive bacteria [12]. The core spoilage microbiota consists of Acinetobacter spp., Staphylococcus spp., Streptococcus spp., as well as Proteobacteria, notably Pseudomonas spp., and members of Enterobacteriaceae [15]. Furthermore, different pork cuts possess varying ratios of protein to fat, along with distinct cutting methods and processing environments, which are expected to exert a significant influence on meat spoilage during storage. Therefore, it is imperative to investigate the microbial profile of different pork cuts, particularly focusing on spoilage bacteria throughout refrigerated storage. The expanding field of high-throughput DNA sequencing offers fresh perspectives on the overall dynamics of bacterial communities in pork spoilage [16].
This study aims to assess the potential impact of the main commercial cuts from Enshi black pork carcasses (ham, loin, and belly) on the bacterial community of spoiled meat under refrigerated storage (4 °C) using high-throughput sequencing. Additionally, the spoilage potential of isolated strains from spoiled pork will be investigated. An important and innovative perspective will be used to describe the relationship between bacterial community diversity and different pork cuts. The findings of this study will help identify key factors contributing to spoilage in Enshi black pork and develop strategies to inhibit bacteria growth during preservation.

2. Materials and Methods

2.1. Samples Preparation

The Enshi black pork cuts (ham, loin, and belly) were provided by the Hubei Sile Animal Husbandry Group Company (Enshi, China). The pigs were slaughtered in a commercial abattoir by standard procedures, and pork cuts were collected from 30 barrow carcasses. They were vacuum-packed and then transported to the laboratory under refrigerated conditions at 4 °C. Upon arrival, the pork ham, loin, and belly were promptly segmented into 20 mm-thick pieces, eliminating tendons, membranes, connective tissues, and other non-essential components. Subsequently, the pork cuts were meticulously packed into 250 g trays and sealed with plastic wrap. These packaged pork cuts of 3 groups (ham, loin, and belly groups) were stored in a 4 °C refrigerator until spoilage, and samples were collected on days 0, 2 and 4. This study was conducted with three batches (10 carcass × 3 times).

2.2. Total Viable Count (TVC) Analysis

Following the China National Food Safety Standard (GB 4789.2-2022) [17], the total viable count (TVC) was assessed. A sterile homogeneous bag was filled with 225 mL of sterile saline (0.85%), and 25 g of pork was cut and placed inside. The bag was then put into in a homogenizer and mixed for 5 min. TVCs were determined using plate count agar (PCA) (Aoboxing Biotech Company, Beijing, China) at 37 °C for 48 h. The results were presented as Log CFU/g. Each sample was measured in triplicate.

2.3. Total Volatile Basic Nitrogen (TVB-N) Content Analysis

The total volatile basic nitrogen (TVB-N) content in pork cuts was determined according to the semi-micro Kjeldahl method outlined in the China National Food Safety Standard (GB 5009.228-2016) [18]. A measure of 10 g of chopped pork was soaked in 100 mL of distilled water for 30 min and then filtered into a distillation tube. Subsequently, 1 g of magnesium oxide was added to the distillation tube, which was immediately connected to the automatic Kjeldahl nitrogen determinator (Hanon Instruments Company, Jinan, China) for analysis. The distillate was collected in a flask containing 10 mL of 20 g/L boric acid and titrated with 0.01 mol/L of HCl to determine the TVB-N content accurately. The results are expressed as mg/100 g. Each sample was measured in triplicate.

2.4. Bacterial DNA Extraction, PCR Amplification and Sequencing

The bacterial DNA was extracted from pork samples (3 samples × 9 replicates) using the commercial Microbiome DNA Isolation Kit (QIAGEN, Hilden, Germany). The extracted DNA was subjected to quality and purity inspection through 2% agarose gel electrophoresis and UV spectrophotometry (Nano Drop ND-2000C, Thermo Fisher Scientific, Waltham, MA, USA). DNA samples showing clear bands and an OD260/280 ratio reading between 1.8 and 2.0 were chosen for further experiments.
Following the DNA extraction process, the V3–V4 variable region of 16S rDNA from the samples underwent amplification using universal primers 338F (5′-ACTCCTACGGGAGGCAGCAG-3′) and 806R (5′-GGACTACHVGGGTWTCTAAT-3′), following the method described by Li et al. [19] for PCR amplification. The PCR products were purified utilizing the QIAquick Gel Extraction Kit (QIAGEN, Germany) and quantified with a Qubit@ 2.0 Fluorometer (Thermo Fisher Scientific, Waltham, MA, USA). The constructed paired-end (PE) library (300 bp) was sequenced on the Illumina MiSeq platform by Majorbio Bio-Pharm Technology Company (Shanghai, China).

2.5. Bioinformatics Analysis

The raw reads were filtered by the QIIME platform (v1.8.0, http://qiime.sourceforge.net/ (accessed on 1 March 2024)) [20], followed by alignment and calibration of sequences using pyNAST (t http://github.com/qiime/pynast/) (accessed on 1 March 2024)) [21]. The processed sequences were subjected to cluster classification with 97% similarity, leading to the completion of operational taxonomic units (OTUs). Utilizing the Chimera Slayer algorithm, OTUs containing chimeric sequences were removed [22,23]. The representative sequences were selected from each OTU and compared with RDP (Ribosomal Database Project, v2.2, http://rdp.cme.msu.edu/ (accessed on 1 March 2024)), Greengenes (v 13.5, http://greengenes.secondgenome.com/ (accessed on 1 March 2024)) and Silva (v138, http://www.arb-silva.de/ (accessed on 1 March 2024)) databases to assign their taxonomic classification [24]. Based on the phylogenetic tree constructed using FastTree 2 software (http://www.microbesonline.org/fasttree (accessed on 1 March 2024)) [25], α-diversity analysis was conducted, encompassing calculations of Chao1, observed species, Shannon, and Simpson indices. Chao1 and observed species indices assess bacterial community richness, while the Shannon and Simpson indices evaluate bacterial community diversity. These indices are crucial for evaluating bacterial community diversity and abundance. β-diversity analysis was performed at the genus level in samples performed using weighted and unweighted UniFrac distance [26]. Linear discriminant analysis effect size (LEfSe) analysis was carried out using LEfSe software (v 1.0, http://huttenhower.sph.harvard.edu/galaxy/root?tool_id=lefse_upload) (accessed on 1 March 2024) [27].

2.6. Spoilage Bacteria Isolation and Identification

The isolation of bacteria from spoiled samples of different pork cuts was performed using the following procedure: 0.1 mL of the chopped pork suspension was evenly spread onto PCA, after which the plates were incubated at 30 °C for 48 h. Subsequently, single colonies exhibiting distinct morphological characteristics, sizes and colors were selected and transferred to fresh PCA plates for purification. The purified cultures were preserved as glycerol suspensions (20%, v/v) and stored at −80 °C.
The chromosomal DNA of purified strains was extracted using a DNA extraction kit (Sangon Biotech, Shanghai, China). Subsequently, the PCR amplification of the 16S rRNA gene was conducted following the protocol outlined by Ma et al. [28]. The purified PCR products were sequenced using an ABI PRISM 3730XL automatic sequencer (Thermo Fisher Scientific, Waltham, MA, USA). To determine an approximate phylogenetic affiliation of each strain, the obtained sequences were compared with existing 16S rRNA gene sequences from GenBank through the BLAST nucleotide search tool on NCBI (http://blast.ncbi.nlm.nih.gov/ (accessed on 1 March 2024)).

2.7. Spoilage Potential Evaluation of Isolated Strains

Fresh Enshi black pork cuts (ham, loin, and belly) weighing 250 g were first placed on a clean, sterile bench and wiped with 75% alcohol disinfect. The pork cuts were drained and then immersed in the bacterial solution of isolated strains (106 CFU/mL) for 30 s. Subsequently, they were drained again and carefully transferred into sterile bags, which were then stored under refrigeration conditions at 4 °C. The strains Carnobacterium divergens NHT2-5 and THT1-5 were inoculated separately with sterile pork ham. In the sterile pork loin, the strains Pseudomonas taetrolens NLJ3 and C. divergens TLJ2-6 were individually inoculated. Additionally, the strain P. protegens NWH1-3 was inoculated with sterile pork belly. Throughout the storage of pork, the TVC and TVB-N content were measured daily to evaluate the spoilage potential of the different strains.

2.8. Statistical Analysis

The Mann–Whitney test and Tukey’s multiple comparisons test were used to assess statistically significant differences with a significance level of p < 0.05, employing IBM SPSS 20 software (IBM Corporation, New York, NY, USA). Data analyses and graphics of the bacterial community were conducted using R software (v 4.2.0, https://www.r-project.org/ (accessed on 1 March 2024)).

3. Results and Discussion

3.1. Spoiled Black Pork Quality

The TVC and TVB-N content in various cuts of black pork (ham, loin, and belly) during storage at 4 °C are illustrated in Figure 1. The TVC in all samples rose significantly from 104 CFU/g in fresh pork to 106 CFU/g on the fourth day (p < 0.05) (Figure 1A). The initial TVB-N content of fresh pork was approximately 7 mg/100 g and over 20 mg/100 g in all samples on the fourth day of storage (Figure 1B). The increasing TVB-N content indicated the degradation of proteins in meat and enzymatic decarboxylation of specific amino acids by spoilage bacteria [29]. All samples exhibited correlated increasing trends in both TVC and TVB-N content, which aligns with previous findings [30]. As per the China National Food Safety Standard (GB/T 9959.2-2008) [31], the upper tolerable limits for the TVC and TVB-N content in fresh pork stand at 106 CFU/g and 15 mg/100 g, respectively. The data indicated that the TVC and TVB-N content in the black pork stored on trays surpassed the threshold for spoilage under refrigeration storage (4 °C) by the fourth day. Furthermore, the TVB-N content in loin samples on the fourth day was significantly lower than that in ham and belly samples (p < 0.05). No noteworthy distinction was observed in TVC among the different cuts of black pork during storage (p > 0.05). These results suggested variations in spoilage among pork ham, loin, and belly, which may be attributed to different ratios of protein to fat.

3.2. Sequencing Results and Diversity Indices of Black Pork

In this study, a total of 1,319,430 sequences were obtained from 27 samples of black pork, yielding an average of 48,867 sequences per sample. After removing chimeras, 54,934 OTUs were classified as 6 phyla, 13 classes, 25 orders, 42 families and 68 genera. As illustrated in Figure 2A, with the increase in the sequencing amount, the rarefaction curve based on observed species showed a gradual decrease in slope, as previously reported [28]. This decline suggested that species diversity experienced minimal changes as the sequencing amount increases, indicating that the sequencing volume was sufficient to analyze the bacterial community structure of the samples. Figure 2B presented the α-diversity of the bacterial community in all samples, encompassing Chao1, observed species, Shannon, and Simpson indices. The results revealed significant differences in Chao1, Shannon and Simpson indices between ham and loin samples (p < 0.05), indicating that the diversity and richness of the bacterial community in the loin were significantly higher than those in the ham. Conversely, no significant difference was observed between the ham and belly samples across the four indices (p > 0.05). Similarly, the comparison between the loin and belly samples also indicated no significant variation (p > 0.05).

3.3. Bacterial Community Composition of Black Pork

The dominant bacterial phyla in spoiled black pork were Proteobacteria, Firmicutes and Bacteroidetes, as illustrated in Figure 3A. These phyla collectively accounted for 99% of the bacterial community, a finding consistent with previous reports [32]. Proteobacteria, a Gram-negative staining bacterium commonly found in food, emerged as the most abundant taxa in the samples. Moreover, the relative abundance of Proteobacteria in ham samples (60.41 ± 9.04%) was significantly higher compared to that in loin and belly samples (p < 0.05). Conversely, the relative abundance of Firmicutes in samples of ham (37.34 ± 8.97%) was significantly lower than that in loin and belly samples (p < 0.05). These results illustrated differences in bacterial community composition at the phylum level between ham, loin, and belly.
A total of 68 genera were detected from all the samples at the genus level (Figure 3B). The dominant genera in the samples were Pseudomonas, Brochothrix, Acinetobacter, Psychrobacter, Myroides and Carnobacterium, as previously reported [33]. Pseudomonas, belonging to Proteobacteria, is an obligate aerobic Gram-negative bacterium that can thrive in a temperature range of 2 °C to 35 °C and is widely distributed in food [34,35]. This genus is famous for its protein-hydrolyzing ability in meat and for producing ethyl caproate, ethyl octanoate, and 1-octene-3-ol, which greatly impact the flavor of meat [34,36]. The relative abundance of Pseudomonas in ham samples (27.29 ± 13.81%) was significantly lower than that in loin and belly samples (p < 0.05). Brochothrix, a psychrophilic Gram-positive facultative anaerobe from Firmicutes phylum, is commonly found in fresh meat, particularly in meat products stored at low temperature [37]. This bacterium has been shown to produce volatile aldehydes, ketones, esters, and alcohols in meat by utilizing substances like glucose and glycerol, leading to meat discoloration and undesirable flavors [38]. The relative abundance of Brochothrix in ham samples (32.38 ± 7.01%) was significantly higher than that in loin and belly samples (p < 0.05). Acinetobacter, a Gram-negative coccus with a strict oxygen requirement, is a common spoilage bacterium present in fish and poultry meat [39]. Research indicated that Acinetobacter has limited putrescence capability in food but can enhance the putrescence ability of Pseudomonas and Shewanella [40]. Moreover, while the relative abundance of Shewanella was low in ham and loin samples (both less than 0.01%), it was notably higher in belly samples (up to 2.84%). This could be attributed to the ability of Shewanella to produce lipase, enabling it to metabolize the abundant fat in belly cuts [41]. To explore the diversity of the bacterial community across all samples, a heatmap illustrating the bacterial community structure and composition of the top genera was included in Figure S1, highlighting variations in the top genera among different cuts of black pork.
Analysis of sequencing data in Figure S2 demonstrated the presence of over 2000 OTUs in each sample. Among these, a total of 227 core OTUs were consistently detected across all samples. Notably, 10 core OTUs exhibited a relative abundance greater than 1.00%, including OTU32424 (19.77%), OTU22093 (7.46%), OTU48323 (5.49%), OTU47539 (5.18%), OTU16617 (4.12%), OTU31622 (3.69%), OTU6834 (3.27%), OTU11126 (3.23%), OTU6774 (2.72%) and OTU35263 (1.26%). The taxonomic classification revealed that these 10 core OTUs belonged to 4 distinct genera. Specifically, OTU32424 was identified as Brochothrix, while OTU22093, OTU48323, OTU35263, OTU6774 and OTU16617 were categorized as Pseudomonas. Additionally, OTU47539, OTU31622 and OTU6834 were classified under Acinetobacter, with OTU11126 assigned to Psychrobacter. These results suggested that Pseudomonas, Brochothrix, Acinetobacter and Psychrobacter comprised the predominant bacterial genera in spoiled black pork stored at 4 °C, consistent with findings in minced pork [42] and pork [43]. It is plausible that these bacteria utilize nutrients in raw meat to undergo metabolic processes, potentially leading to the production of various compounds such as aldehydes, ketones, alcohols, and ethers [44]. These metabolic activities could consequently influence the flavor and sensory quality of fresh meat.

3.4. Comparative Analysis of Bacterial Community

The β-diversity analysis of 27 samples (3 groups × 9 replicates) of spoiled black pork at the genus level, shown in Figure 4, was clustered through principal coordinate analysis (PCoA) based on unweighted UniFrac distance. The first principal coordinate component (PCoA1) accounted for 60.59% of the variability, while the second principal coordinate component (PCoA2) explained 14.76% of the variability. Moreover, disparities were observed among the ham, loin, and belly samples, with samples within the same group tending to cluster together. The Mann–Whitney test results indicated significant differences (p < 0.05) in distances between the three groups of samples, suggesting that the bacterial communities varied across different cuts of black pork. These differences may be attributed to varying nutrient compositions and levels of spoilage in the different pork cuts [45].
LEfSe analysis was performed to identify potential biomarkers at the genus levels among the three groups of black pork samples (Figure 5). The cladogram of LEfSe analysis (Figure 5A) and linear discriminant analysis (LDA) results (Figure 5B) revealed a total of 20 bacterial genera with significantly different abundances detected from the three groups of samples (p < 0.05). In the belly samples, 18 genera showed notable differences, including Pseudomonas, Psychrobacter, Shewanella, Flavobacterium, Arthrobacter, Janthinobacterium, Serratia, Algoriella, Lactobacillus, Sphingobacterium, Rouxiella, Macrococcus, Buttiauxella, Chryseobacterium, Enterococcus, Weeksella, Nocardia, and Hafnia. One potential biomarker, Carnobacterium, was observed in the ham samples, while Yersinia was the potential biomarker in the loin samples. Carnobacterium, a member of lactic acid bacteria, can grow under diverse storage conditions and is commonly found in various fish and meats. Although some strains may contribute to meat and seafood spoilage, their prevalence is currently low [38,46]. On the other hand, Yersinia, known as a cryophilic bacterium, has been frequently isolated from pork lymph nodes, intestines, and feces. This pathogen can withstand and propagate in cold temperatures, making it a potential foodborne hazard that poses an infection risk for consumers [46].

3.5. Isolation and Identification of Strains in Spoiled Black Pork

In Table 1, the strains isolated in spoiled black pork from different cuts (ham, loin, and belly) were identified. A total of 50 strains were isolated from spoiled samples of ham, loin, and belly, representing 14 genera, with the majority belonging to Carnobacterium (11 strains), Serratia (10 strains), Hafnia (5 strains) and Aeromonas (5 strains). Combined with the high-throughput sequencing analysis, the dominant strains from each sample were chosen for spoilage potential assessment. For ham samples, the strains C. divergens NHT2-5 and THT1-5 from Carnobacterium genus were selected for evaluation. In the loin samples, Yersinia, a potential biomarker, was not isolated, possibly due to its low abundance [47]. Consequently, the strains P. taetrolens NLJ3 and C. divergens TLJ2-6, both with dominant genera, were selected for spoilage potential evaluation from the loin samples. Furthermore, in the belly samples, the strain P. protegens NWH1-3, a member of the top potential biomarker, Pseudomonas, was selected for the subsequent assessment.

3.6. Spoilage Potential of Isolated Strains

In Figure 6, the TVC and TVB-N content in pork cuts inoculated with isolated strains during storage at 4 °C were investigated. Regarding TVC (Figure 6A), samples inoculated with different isolated strains exhibited that TVC levels exceeded 106 (Log CFU/g) on the initial day. The TVC of ham samples inoculated with C. divergens NHT2-5 showed a decreasing trend, while the TVC of loin samples inoculated with P. taetrolens NLJ3 displayed an increasing trend. Conversely, the TVC of the other three samples initially increased before decreasing over the storage period. Notably, the TVC of loin samples inoculated with C. divergens TLJ2-6 reached a peak at 9.14 ± 0.06 Log CFU/g on day 5. As the storage days progressed, there was a continuous increase in TVB-N content, with ham samples inoculated with C. divergens THT1-5 exceeding 15 mg/100 g on day 6 (Figure 6B). These results suggested that C. divergens THT1-5 exhibited cold adaptation and a higher spoilage potential in Enshi black pork.

4. Conclusions

In this study, Enshi black pork cuts, including ham, loin, and belly, were found to have reached spoilage after four days of storage at 4 °C. The bacterial community diversity and composition in spoiled ham, loin, and belly differed significantly (p < 0.05), with 20 genera identified as potential bacterial biomarkers. A total of 50 strains representing 14 genera were isolated from the spoiled samples of ham, loin, and belly. Among these, C. divergens THT1-5, isolated from spoiled ham samples, exhibited cold adaptation and a higher spoilage potential in Enshi black pork. These findings contribute to the identification of key factors responsible for spoilage and enhance the understanding of the spoilage mechanism in Enshi black pork. Such insights will facilitate the development of strategies to inhibit bacterial growth during the preservation process of Enshi black pork.

Supplementary Materials

The following supporting information can be downloaded at https://www.mdpi.com/article/10.3390/foods13132081/s1: Figure S1: Heatmap of top genera based on relative abundance in spoiled black pork; Figure S2: Flower plot based on OUTs in spoiled black pork.

Author Contributions

Methodology, J.Y. and H.W.; formal analysis, L.P. and E.L.; data curation, J.Y. and Y.Z.; writing—original draft preparation, J.Y.; writing—review and editing, Y.Z.; funding acquisition, H.W. All authors have read and agreed to the published version of the manuscript.

Funding

This research was funded by Enshi Prefecture Science and Technology Plan Research and Development Project from Enshi Science and Technology Bureau, funding number D20190022.

Institutional Review Board Statement

Not applicable.

Informed Consent Statement

Not applicable.

Data Availability Statement

The original contributions presented in the study are included in the article/Supplementary Material, further inquiries can be directed to the corresponding author.

Conflicts of Interest

The authors declare no conflicts of interest.

References

  1. Datlow, L.Y.; Leventhal, M.; King, J.; Wallace, T.C. Consumption patterns and the nutritional contribution of total, processed, fresh, and fresh-lean pork to the U.S. diet. Nutrients 2023, 15, 2595. [Google Scholar] [CrossRef]
  2. Aaslyng, M.D.; Meinert, L. Meat flavour in pork and beef—From animal to meal. Meat Sci. 2017, 132, 112–117. [Google Scholar] [CrossRef]
  3. Miller, R. Drivers of consumer liking for beef, pork, and lamb: A review. Foods 2020, 9, 428. [Google Scholar] [CrossRef]
  4. Ma, X.Q.; Verkuil, J.M.; Reinbach, H.C.; Meinert, L. Which product characteristics are preferred by Chinese consumers when choosing pork? A conjoint analysis on perceived quality of selected pork attributes. Food Sci. Nutr. 2017, 5, 770–775. [Google Scholar] [CrossRef]
  5. Zhang, H.; Wang, J.; Martin, W. Factors affecting households’ meat purchase and future meat consumption changes in China: A demand system approach. J. Ethn. Foods 2018, 5, 24–32. [Google Scholar] [CrossRef]
  6. Yang, Q.; Qiao, S.; Ying, R. Agricultural industrial scale, price random fluctuation, and profitability levels: Evidence from China’s pig industry. Front. Sustain. Food Syst. 2024, 8, 1291743. [Google Scholar] [CrossRef]
  7. Zhang, Y.; Zhang, Y.; Li, H.; Guo, T.; Jia, J.; Zhang, P.; Wang, L.; Xia, N.; Qin, Q.; Peng, H.; et al. Comparison of nutrition and flavor characteristics of five breeds of pork in China. Foods 2022, 11, 2704. [Google Scholar] [CrossRef]
  8. Li, R.; Guo, M.; Liao, E.; Wang, Q.; Peng, L.; Jin, W.; Wang, H. Effects of repeated freezing and thawing on myofibrillar protein and quality characteristics of marinated Enshi black pork. Food Chem. 2022, 378, 131994. [Google Scholar] [CrossRef]
  9. Fu, Y.; Li, C.; Tang, Q.; Tian, S.; Jin, L.; Chen, J.; Li, M.; Li, C. Genomic analysis reveals selection in Chinese native black pig. Sci. Rep. 2016, 6, 36354. [Google Scholar] [CrossRef]
  10. Chen, G.; Cai, Y.; Su, Y.; Wang, D.; Pan, X.; Zhi, X. Study of meat quality and flavour in different cuts of Duroc-Bamei binary hybrid pigs. Vet. Med. Sci. 2021, 7, 724–734. [Google Scholar] [CrossRef]
  11. He, S.; Wang, Y. Antimicrobial and antioxidant effects of kappa-carrageenan coatings Enriched with cinnamon essential oil in pork meat. Foods 2022, 11, 2885. [Google Scholar] [CrossRef]
  12. Pellissery, A.J.; Vinayamohan, P.G.; Amalaradjou, M.A.R.; Venkitanarayanan, K. Spoilage bacteria and meat quality. In Meat Quality Analysis, 1st ed.; Biswas, A.K., Mandal, P.K., Eds.; Elsevier: Amsterdam, The Netherlands, 2020; pp. 307–334. [Google Scholar]
  13. Sabow, A.B.; Sazili, A.Q.; Aghwan, Z.A.; Zulkifli, I.; Goh, Y.M.; Ab Kadir, M.Z.; Nakyinsige, K.; Kaka, U.; Adeyemi, K.D. Changes of microbial spoilage, lipid-protein oxidation and physicochemical properties during post mortem refrigerated storage of goat meat. Anim. Sci. J. 2016, 87, 816–826. [Google Scholar] [CrossRef]
  14. Xu, M.M.; Kaur, M.; Pillidge, C.J.; Torley, P.J. Evaluation of the potential of protective cultures to extend the microbial shelf-life of chilled lamb meat. Meat Sci. 2021, 181, 108613. [Google Scholar] [CrossRef]
  15. Shao, L.; Chen, S.; Wang, H.; Zhang, J.; Xu, X.; Wang, H. Advances in understanding the predominance, phenotypes, and mechanisms of bacteria related to meat spoilage. Trends. Food Sci. Technol. 2021, 118, 822–832. [Google Scholar] [CrossRef]
  16. Maillet, A.; Bouju-Albert, A.; Roblin, S.; Vaissié, P.; Leuillet, S.; Dousset, X.; Jaffrès, E.; Combrisson, J.; Prévost, H. Impact of DNA extraction and sampling methods on bacterial communities monitored by 16S rDNA metabarcoding in cold-smoked salmon and processing plant surfaces. Food Microbiol. 2021, 95, 103705. [Google Scholar] [CrossRef]
  17. National Health Commission of the People’s Republic of China, State Administration of Market Supervision and Administration National Food Safety Standard-Food Microbiological Examination: Determination of Total Viable Count, GB 4789.2-2022. Available online: https://kns.cnki.net/kcms2/article/abstract?v=MuRVhOLgpmvnh8_EtLfOo3ZUO1kWpWGqQnKAUPLHkyqsnP7WilpNZRMb5yWtdXuo0jkIU3K-fchv_EeYpsdefEtTNg8Elqwe5C-mblSgT-4QBUGU2XZ9kh6ummdYB42DgwkLr7bBQX0=&uniplatform=NZKPT&language=CHS (accessed on 7 March 2024).
  18. National Health and Family Planning Commission of the People’s Republic of China. National Food Safety Standard-Determination of Total Volatile Basic Nitrogen in Foods, GB 5009.228-2016. Available online: https://kns.cnki.net/kcms2/article/abstract?v=MuRVhOLgpms4C3qhFe_tBui1_d0JX6Yp4YJc0vczOwNKjwjsM2UjaDsbfUpV2DKw2UieUQeafE3Bs3tx-zrcax3TRAF_5EfdQ3BtZuUFlCoJi4bXrZmHAfXiD_ThriuGiC52P57Szng=&uniplatform=NZKPT&language=CHS (accessed on 7 March 2024).
  19. Li, Y.; Sun, L.; Sun, M.; Zhang, X.; Xie, X.; Xie, B.; Chen, X.; Zhang, Y.; Qin, Q. Vertical and horizontal biogeographic patterns and major factors affecting bacterial communities in the open South China Sea. Sci. Rep. 2018, 8, 8800. [Google Scholar] [CrossRef]
  20. Caporaso, J.G.; Kuczynski, J.; Stombaugh, J.; Bittinger, K.; Bushman, F.D.; Costello, E.K.; Fierer, N.; Pena, A.G.; Goodrich, J.K.; Gordon, J.I.; et al. QIIME allows analysis of high-throughput community sequencing data. Nat. Methods 2010, 7, 335–336. [Google Scholar] [CrossRef]
  21. Caporaso, J.G.; Bittinger, K.; Bushman, F.D.; DeSantis, T.Z.; Andersen, G.L.; Knight, R. PyNAST: A flexible tool for aligning sequences to a template alignment. Bioinformatics 2010, 26, 266–267. [Google Scholar] [CrossRef]
  22. Golob, J.L.; Margolis, E.; Hoffman, N.G.; Fredricks, D.N. Evaluating the accuracy of amplicon-based microbiome computational pipelines on simulated human gut microbial communities. BMC Bioinform. 2017, 18, 283. [Google Scholar] [CrossRef]
  23. Edgar, R.C.; Haas, B.J.; Clemente, J.C.; Quince, C.; Knight, R. UCHIME improves sensitivity and speed of chimera detection. Bioinformatics 2011, 27, 2194–2200. [Google Scholar] [CrossRef]
  24. Wang, Q.; Garrity, G.M.; Tiedje, J.M.; Cole, J.M. Naive Bayesian classifier for rapid assignment of rRNA sequences into the new bacterial taxonomy. Appl. Environ. Microbiol. 2007, 73, 5261–5267. [Google Scholar] [CrossRef]
  25. Price, M.N.; Dehal, P.S.; Arkin, A.P. FastTree 2–approximately maximum-likelihood trees for large alignments. PLoS ONE 2010, 5, e9490. [Google Scholar] [CrossRef]
  26. Lozupone, C.; Knight, R. UniFrac: A new phylogenetic method for comparing microbial communities. Appl. Environ. Microbiol. 2005, 71, 8228–8235. [Google Scholar] [CrossRef]
  27. Segata, N.; Izard, J.; Waldron, L.; Gevers, D.; Miropolsky, L.; Garrett, W.S.; Huttenhower, C. Metagenomic biomarker discovery and explanation. Genome Biol. 2011, 12, R60. [Google Scholar] [CrossRef]
  28. Ma, L.; Zhao, Y.; Meng, L.; Wang, X.; Yi, Y.; Shan, Y.; Liu, B.; Zhou, Y.; Lü, X. Isolation of thermostable lignocellulosic bacteria from chicken manure compost and a M42 family endocellulase cloning from Geobacillus thermodenitrificans Y7. Front. Microbiol. 2020, 26, 281. [Google Scholar] [CrossRef]
  29. Bassey, A.P.; Chen, Y.; Zhu, Z.; Odeyemi, O.A.; Gao, T.; Olusola, O.O.; Ye, K.; Li, C.; Zhou, G. Evaluation of spoilage indexes and bacterial community dynamics of modified atmosphere packaged super-chilled pork loins. Food Control 2021, 130, 108383. [Google Scholar] [CrossRef]
  30. Li, N.; Zhang, Y.; Wu, Q.; Gu, Q.; Chen, M.; Zhang, Y.; Sun, X.; Zhang, J. High-throughput sequencing analysis of bacterial community composition and quality characteristics in refrigerated pork during storage. Food Microbiol. 2019, 83, 86–94. [Google Scholar] [CrossRef]
  31. General Administration of Quality Supervision, Inspection and Quarantine of the People’s Republic of China, Standardization Administration of China National Standard-Fresh and Frozen Pork Lean, Cuts, GB/T 9959.2-2008. Available online: https://kns.cnki.net/kcms2/article/abstract?v=MuRVhOLgpmuU0XUfR8zUafx9D98qnbWOakraEC3nMPsIhwboHsM3sEZVDPb8mx57_439-JyO_W0DTLETVMGkzsomE4YoEaqRw_NGPlVJ2fsCbkCwkLqb87xRtTmlvJRBpJgjQ6NqzJU=&uniplatform=NZKPT&language=CHS (accessed on 7 March 2024).
  32. Tian, X.; Wu, W.; Yu, Q.; Hou, M.; Gao, F.; Li, X.; Dai, R. Bacterial diversity analysis of pork longissimus lumborum following long term ohmic cooking and water bath cooking by amplicon sequencing of 16S rRNA gene. Meat Sci. 2017, 123, 97–104. [Google Scholar] [CrossRef]
  33. Zhao, F.; Wei, Z.; Zhou, G.; Kristiansen, K.; Wang, C. Effects of different storage temperatures on bacterial communities and functional potential in pork meat. Foods 2022, 11, 2307. [Google Scholar] [CrossRef]
  34. Raposo, A.; Pérez, E.; de Faria, C.T.; Ferrús, M.A.; Carrascosa, C. Food spoilage by Pseudomonas spp.—An overview. In Foodborne Pathogens and Antibiotic Resistance, 2nd ed.; Singh, O.V., Ed.; John Wiley & Sons: Hoboken, NJ, USA, 2016; pp. 41–71. [Google Scholar]
  35. Sah, S.; Krishnani, S.; Singh, R. Pseudomonas mediated nutritional and growth promotional activities for sustainable food security. Curr. Res. Microb. Sci. 2021, 2, 100084. [Google Scholar] [CrossRef]
  36. Kumar, H.; Franzetti, L.; Kaushal, A.; Kumar, D. Pseudomonas fluorescens: A potential food spoiler and challenges and advances in its detection. Ann. Microbiol. 2019, 69, 873–883. [Google Scholar] [CrossRef]
  37. Stanborough, T.; Fegan, N.; Powell, S.M.; Tamplin, M.; Chandry, P.S. Insight into the genome of Brochothrix thermosphacta, a problematic meat spoilage bacterium. Appl. Environ. Microbiol. 2017, 83, e02786–e02816. [Google Scholar] [CrossRef] [PubMed]
  38. Höll, L.; Hilgarth, M.; Geissler, A.J.; Behr, J.; Vogel, R.F. Metatranscriptomic analysis of modified atmosphere packaged poultry meat enables prediction of Brochothrix thermosphacta and Carnobacterium divergens in situ metabolism. Arch. Microbiol. 2020, 202, 1945–1955. [Google Scholar] [CrossRef] [PubMed]
  39. Rafei, R.; Hamze, M.; Pailhories, H.; Eveillard, M.; Marsollier, L.; Joly-Guillou, M.L.; Dabboussi, F.; Kempf, M. Extrahuman epidemiology of Acinetobacter baumannii in Lebanon. Appl. Environ. Microbiol. 2015, 81, 2359–2367. [Google Scholar] [CrossRef] [PubMed]
  40. Huang, H.; Xiong, G.; Shi, L.; Wu, W.; Li, X.; Qiao, Y.; Liao, L.; Ding, A.; Wang, L. Application of HVEF treatment in bacteriostasis against Acinetobacter radioresistens. Food Control 2021, 124, 107914. [Google Scholar] [CrossRef]
  41. Odeyemi, O.A.; Burke, C.M.; Bolch, C.J.S.; Stanley, R. Evaluation of spoilage potential and volatile metabolites production by Shewanella baltica isolated from modified atmosphere packaged live mussels. Food Res. Int. 2018, 103, 415–425. [Google Scholar] [CrossRef] [PubMed]
  42. Peruzy, M.F.; Murru, N.; Yu, Z.; Cnockaert, M.; Joossens, M.; Proroga, Y.T.R.; Houf, K. Determination of the microbiological contamination in minced pork by culture dependent and 16S amplicon sequencing analysis. Int. J. Food Microbiol. 2019, 290, 27–35. [Google Scholar] [CrossRef] [PubMed]
  43. Kim, Y.; Ban, G.H.; Hong, Y.W.; Jeong, K.C.; Bae, D.; Kim, S.A. Bacterial profile of pork from production to retail based on high-throughput sequencing. Food Res. Int. 2024, 176, 113745. [Google Scholar] [CrossRef] [PubMed]
  44. Odeyemi, O.A.; Alegbeleye, O.O.; Strateva, M.; Stratev, D. Understanding spoilage microbial community and spoilage mechanisms in foods of animal origin. Compr. Rev. Food Sci. Food Saf. 2020, 19, 311–331. [Google Scholar] [CrossRef]
  45. Zhang, X.; Ning, X.; He, X.; Sun, X.; Yu, X.; Cheng, Y.; Yu, R.Q.; Wu, Y. Fatty acid composition analyses of commercially important fish species from the Pearl River Estuary, China. PLoS ONE 2020, 15, e0228276. [Google Scholar] [CrossRef]
  46. Peng, Z.; Zou, M.; Li, M.; Liu, D.; Guan, W.; Hao, Q.; Xu, J.; Zhang, S.; Jing, H.; Li, Y.; et al. Prevalence, antimicrobial resistance and phylogenetic characterization of Yersinia enterocolitica in retail poultry meat and swine feces in parts of China. Food Control 2018, 93, 121–128. [Google Scholar] [CrossRef]
  47. Peruzy, M.F.; Aponte, M.; Proroga, Y.T.R.; Capuano, F.; Cristiano, D.; Delibato, E.; Houf, K.; Murru, N. Yersinia enterocolitica detection in pork products: Evaluation of isolation protocols. Food Microbiol. 2020, 92, 103593. [Google Scholar] [CrossRef] [PubMed]
Foods 13 02081 g001
Figure 1. Evolution of total viable bacteria counts (TVCs) (A) and total volatile basic nitrogen (TVB-N) contents (B) in different cuts of black pork (ham, loin, and belly) during storage at 4 °C. Statistical significance is denoted by a star (*, p < 0.05).
Figure 1. Evolution of total viable bacteria counts (TVCs) (A) and total volatile basic nitrogen (TVB-N) contents (B) in different cuts of black pork (ham, loin, and belly) during storage at 4 °C. Statistical significance is denoted by a star (*, p < 0.05).
Foods 13 02081 g001
Foods 13 02081 g002
Figure 2. Rarefaction curves based on observed species (A) and alpha-diversity index (B) in spoiled black pork. H, ham; L, loin; B, belly. Nine replicates were represented by the numbers 1–9. The numbers above the lines indicate the statistical significance (p).
Figure 2. Rarefaction curves based on observed species (A) and alpha-diversity index (B) in spoiled black pork. H, ham; L, loin; B, belly. Nine replicates were represented by the numbers 1–9. The numbers above the lines indicate the statistical significance (p).
Foods 13 02081 g002
Foods 13 02081 g003
Figure 3. Relative abundance of bacterial community based on 16S rDNA sequencing on the phylum (A) and genus (B) level in spoiled black pork. H, ham; L, loin; B, belly. Nine replicates were represented by the numbers 1–9.
Figure 3. Relative abundance of bacterial community based on 16S rDNA sequencing on the phylum (A) and genus (B) level in spoiled black pork. H, ham; L, loin; B, belly. Nine replicates were represented by the numbers 1–9.
Foods 13 02081 g003
Foods 13 02081 g004
Figure 4. Principal coordinate analysis (PCoA) of bacterial community at the genus level in spoiled black pork based on unweighted UniFrac distance. H, ham; L, loin; B, belly.
Figure 4. Principal coordinate analysis (PCoA) of bacterial community at the genus level in spoiled black pork based on unweighted UniFrac distance. H, ham; L, loin; B, belly.
Foods 13 02081 g004
Foods 13 02081 g005
Figure 5. Linear discriminant analysis effect size (LEfSe) showing microbiome differences among three groups (H, L and B) of samples at the genus levels. (A) LEfSe cluster diagram. (B) LEfSe linear discriminant analysis (LDA) diagram. Bacterial taxa were significantly discriminant on the genus level with LDA scores larger than 4.0. H, ham; L, loin; B, belly.
Figure 5. Linear discriminant analysis effect size (LEfSe) showing microbiome differences among three groups (H, L and B) of samples at the genus levels. (A) LEfSe cluster diagram. (B) LEfSe linear discriminant analysis (LDA) diagram. Bacterial taxa were significantly discriminant on the genus level with LDA scores larger than 4.0. H, ham; L, loin; B, belly.
Foods 13 02081 g005
Foods 13 02081 g006
Figure 6. Evolution of total viable bacteria counts (TVCs) (A) and total volatile basic nitrogen (TVB-N) content (B) in different cuts of black pork (ham, loin, and belly) inoculated with isolated strains during storage at 4 °C. The strains Carnobacterium divergens NHT2-5 and THT1-5 were inoculated separately with sterile ham, the strains Pseudomonas taetrolens NLJ3 and C. divergens TLJ2-6 were dividually inoculated with sterile loin, and the strain P. protegens NWH1-3 was inoculated with sterile belly.
Figure 6. Evolution of total viable bacteria counts (TVCs) (A) and total volatile basic nitrogen (TVB-N) content (B) in different cuts of black pork (ham, loin, and belly) inoculated with isolated strains during storage at 4 °C. The strains Carnobacterium divergens NHT2-5 and THT1-5 were inoculated separately with sterile ham, the strains Pseudomonas taetrolens NLJ3 and C. divergens TLJ2-6 were dividually inoculated with sterile loin, and the strain P. protegens NWH1-3 was inoculated with sterile belly.
Foods 13 02081 g006
Table 1. Identification of isolated strains in spoiled black pork.
Table 1. Identification of isolated strains in spoiled black pork.
SamplesNumbers of Isolated StrainsStrain Identification
GeneraSpeciesStrains
Ham20PseudomonasP. versutaTHT2-3
AcinetobacterA. wanghuaeTHT2-1
CarnobacteriumC. divergensNHT2-5, THT1-5, NHT1-1
C. maltaromaticumTWH1-2
SerratiaS. liquefaciensNHT1-5, NHT4
BacillusB. licheniformisTHT3-5
ButtiauxellaB. gaviniaeNHT3-2-2, PHT3
HafniaH. alveiPHT5
H. paralveiNHT3-4, THT1-4
KlebsiellaK. quasivariicolaNHT2-4
KocuriaK. rhizophilaNHT2-1, NHT1-4
MicrococcusM. luteusTHT2-2
StaphylococcusS. saprophyticusTHT3-1, NHT3-5
Loin14PseudomonasP. taetrolensNLJ3
CarnobacteriumC. divergensTLJ2-6, NLJ1, PLJ1, PLJ2
C. maltaromaticumTLJ3-4
SerratiaS. liquefaciensNLJ7, TLJ1-5, TLJ2-4, TLJ1-3
HafniaH. alveiNLJ4, TLJ1-2
KocuriaK. rhizophilaTLJ1-1, NLJ2
Belly16PseudomonasP. protegensNWH1-3
AcinetobacterA. wanghuaePWH1-1
CarnobacteriumC. divergensNWH3-3, NWH1-5
SerratiaS. liquefaciensPWH1-3, PWH2-1, TWH2-4
S. quinivoransNWH3-4
AeromonasA. caviaeNWH2-2
A. mediaNWH1-1
A. salmonicidaNWH1-4, NWH3-5, TWH2-3
KurthiaK. zopfiiNWH2-5
MacrococcusM. caseolyticusNWH1-2, TWH2-1
Disclaimer/Publisher’s Note: The statements, opinions and data contained in all publications are solely those of the individual author(s) and contributor(s) and not of MDPI and/or the editor(s). MDPI and/or the editor(s) disclaim responsibility for any injury to people or property resulting from any ideas, methods, instructions or products referred to in the content.

Share and Cite

MDPI and ACS Style

Zhang, Y.; Yang, J.; Peng, L.; Liao, E.; Wang, H. Behavior of Spoilage Bacterial Communities in Different Cuts of Enshi Black Pork under Refrigerated Storage (4 °C). Foods 2024, 13, 2081. https://doi.org/10.3390/foods13132081

AMA Style

Zhang Y, Yang J, Peng L, Liao E, Wang H. Behavior of Spoilage Bacterial Communities in Different Cuts of Enshi Black Pork under Refrigerated Storage (4 °C). Foods. 2024; 13(13):2081. https://doi.org/10.3390/foods13132081

Chicago/Turabian Style

Zhang, Ying, Jiang Yang, Lijuan Peng, E Liao, and Haibin Wang. 2024. "Behavior of Spoilage Bacterial Communities in Different Cuts of Enshi Black Pork under Refrigerated Storage (4 °C)" Foods 13, no. 13: 2081. https://doi.org/10.3390/foods13132081

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