Next Article in Journal
Progress of Molecular Display Technology Using Saccharomyces cerevisiae to Achieve Sustainable Development Goals
Next Article in Special Issue
Prevalence, Virulence Potential, and Growth in Cheese of Bacillus cereus Strains Isolated from Fresh and Short-Ripened Cheeses Sold on the Italian Market
Previous Article in Journal
Staphylococcus aureus and MRSA in Livestock: Antimicrobial Resistance and Genetic Lineages
Previous Article in Special Issue
Mining Biosynthetic Gene Clusters in Carnobacterium maltaromaticum by Interference Competition Network and Genome Analysis
 
 
Search for Articles:
Title / Keyword
Author / Affiliation / Email
Journal
Article Type
 
 
Advanced Search
 
Section
Special Issue
Volume
Issue
Number
Page
 
Journals
Microorganisms
Volume 11
Issue 1
10.3390/microorganisms11010123
microorganisms-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

An Insight into Goat Cheese: The Tales of Artisanal and Industrial Gidotyri Microbiota

by
Aikaterini Nelli
,
Brigkita Venardou
,
Ioannis Skoufos
,
Chrysoula (Chrysa) Voidarou
,
Ilias Lagkouvardos
and
Athina Tzora
*
Laboratory of Animal Health, Food Hygiene and Quality, Department of Agriculture, University of Ioannina, 47100 Arta, Greece
*
Author to whom correspondence should be addressed.
Microorganisms 2023, 11(1), 123; https://doi.org/10.3390/microorganisms11010123
Submission received: 10 December 2022 / Revised: 22 December 2022 / Accepted: 29 December 2022 / Published: 3 January 2023
(This article belongs to the Special Issue Microbial Ecology of Dairy Products: From Diversity to Functions)
Browse Figures
Review Reports Versions Notes

Abstract

:
The purpose of this study was to determine for the first time the microbiota in artisanal-type and industrial-type Gidotyri cheeses and investigate the influence of the cheese-making practices on their composition using culture-independent techniques. The microbiota present in artisanal with commercial starters (Artisanal_CS, n = 15), artisanal with in-house starters (Artisanal_IHS, n = 10) and industrial (Ind., n = 9) Gidotyri cheese samples were analyzed using a targeted metagenomic approach (16S rRNA gene). The Ind. Gidotyri cheese microbiota were less complex, dominated by the Streptococcaceae family (91%) that was more abundant compared to the artisanal Gidotyri cheeses (p < 0.05). Artisanal cheeses were more diverse compositionally with specific bacterial species being prevalent to each subtype. Particularly, Loigolactobacillus coryniformis (OTU 175), Secundilactobacillus malefermentans (OTU 48), and Streptococcus parauberis (OTU 50) were more prevalent in Artisanal_IHS cheeses compared to Artisanal_CS (p ≤ 0.001) and Ind. (p < 0.01) Gidotyri cheeses. Carnobacterium maltaromaticum (OTU 23) and Enterobacter hormaechei subsp. hoffmannii (OTU 268) were more prevalent in Artisanal_CS cheeses compared to Artisanal_IHS cheeses (p < 0.05) and Ind. cheeses (p < 0.05). Hafnia alvei (OTU 13) and Acinetobacter colistiniresistens (OTU 111) tended to be more prevalent in Artisanal_CS compared to the other two cheese groups (p < 0.10). In conclusion, higher microbial diversity was observed in the artisanal-type Gidotyri cheeses, with possible bacterial markers specific to each subtype identified with potential application to traceability of the manufacturing processes’ authenticity and cheese quality.

1. Introduction

Cheese has constituted an important component of the human diet for millennia, leading to the industrialization of its production. Nevertheless, artisanal cheeses are gaining increasing interest from consumers. As no consensus definition exists, artisanal cheeses are generally considered to be hand-made cheeses produced using traditional cheese-making practices from cow, sheep and/or goat milk (preferably raw) on-farm or in small-scale dairies interlinked to a geographical region and culture [1,2,3]. The traditionally produced artisanal cheeses are characterized by increased microbial diversity associated with superior flavor, aroma and texture, while the standardized manufacturing of industrial cheeses leads to a less complex microbiota in an attempt to improve product safety at the expense of sensorial quality [3].
The composition of the microbial community collectively known as the cheese microbiota has a fundamental role in the production processes of curd formation and ripening, safety, and quality of the final product. Lactic acid bacteria (LABs) are the principal component of this microbial community, while pathogenic and spoilage bacteria such as Escherichia coli, Staphylococcus spp., Pseudomonas spp. are absent or present in low numbers in cheese [4,5,6,7]. Of the LABs, Lactococcus, Streptococcus, Lactobacillus and Leuconostoc genera (Starter LABs, SLABs) are responsible for the rapid acidification of milk during the initial fermentation, while Lactobacillus, Pediococcus, Leuconostoc and Enterococcus genera (non-starter LABs, NSLABs) influence the development of the organoleptic properties via their proteolytic and lipolytic activities during cheese maturation [8,9]. Apart from their technological importance, several studies have identified dairy-originating LAB strains including ones with the ability to inhibit the growth of pathogens and spoilage microorganisms by acid and bacteriocin production and competitive exclusion, indicative of probiotic potential as well as improved food safety [10,11,12,13,14,15]. Furthermore, the enzymatic processes driven by the cheese microbiota contribute to the production of bioactive components, predominantly peptides and oligosaccharides, with prebiotic, anti-microbial, anti-inflammatory, immunomodulatory, antihypertensive, and intestinal barrier function-enhancing potential, among others [16,17,18,19].
Given the profound importance of cheese microbiota in determining overall cheese quality, significant efforts have been made to identify species variation using traditional and molecular methods. Conventional microbiological techniques have been used in the past to investigate this microbial community; however, these methodologies cannot accurately determine its composition due to their inability to recover non-culturable, less abundant, or rare bacterial taxa [20]. This issue was overcome with the application of high throughput sequencing methods (HTS) that have extended our understanding in cheese microbiology by offering a clearer snapshot of the unique pool of microbes present in each type of cheese [21,22]. HTS has recently been implemented to identify the microbiota of several traditional and PDO cheeses and to uncover the microbial map responsible for the unique sensorial characteristics, thus, contributing to cheese authenticity, marketability, and safety [23,24,25,26,27,28].
Goat cheese is an underestimated food with high nutritional value and a promising potential as a functional food for human nutrition [29,30,31] with Caciotta and Caprino Nicastrese goat cheeses as characteristic examples [1,32]. Within the EU, France followed by Spain and Greece were listed among the 10 top goat cheese producers representing on average 17.3%, 7% and 7.6% of global production for the period 2015–2017, respectively, despite their collective average goat milk production being only 7.9% for the same period [33]. Furthermore, Greece traditionally produces a variety of cheeses from goat milk solely or mixed with sheep milk and/or cow milk [34], a large number (23) of which are registered to eAmbrosia, the EU geographical indications register, under the Protected Designation of Origin (PDO) and Protected Geographical Indication (PGI) labels. Research has mostly focused on identifying the composition of the microbiota, particularly the LAB community, in the industrial or artisanal Greek PDO cheeses, namely Feta, Kefalograviera, Kalathaki Limnou, Arseniko Naxou and Graviera Kritis, using conventional microbiological techniques coupled with molecular tools (Matrix-assisted laser desorption/ionization time-of-flight mass spectrometry, genomic methods) [6,15,28,35,36] or, more recently, HTS [27,37,38,39], while information on other non-PDO traditional cheeses is limited [15,36]. Furthermore, a single study evaluated both artisanal-type and industrial-type galotyri (PDO Greek cheese) using conventional microbiological techniques and reported compositional differences in the LAB community between the two groups [40].
Gidotyri, a traditional non-PDO goat cheese, is produced in a similar manner to Feta cheese [41] from industrial and artisanal dairies and mostly distributed to the local markets of the country. Thus, the aim of the present study was to characterize for the first time the microbiota in artisanal-type and industrial-type Gidotyri cheese and to identify key bacterial species associated with the cheese-making practices using culture-independent 16S rRNA gene HTS.

2. Materials and Methods

2.1. Collection of Gidotyri Cheese (Goat Cheese) Samples

Thirty-four Gidotyri cheese samples were collected in their original packages (1 kg net weight for industrial Gidotyri cheeses and 500 g net weight for artisanal Gidotyri cheeses) from eight dairy establishments located in the Epirus region production area (Figure 1A) and then transported under refrigeration (4 °C) in no more than two hours, for laboratory analysis. Cheese samples were obtained from six different industrial producers (Ind.) and two artisanal dairies, one using commercial starters (Artisanal_CS) and the other using in-house starter cultures (Artisanal_IHS), with different production procedures (Figure 1B) such as thermalization (63 °C, 15 min for artisanal cheeses) or pasteurization (72 °C, 15 s for industrial cheeses) of milk, type of starter cultures for the acidification procedure, production capacity (small-scale dairies vs industrial dairies). Samples from different production batches were collected from each dairy after 3 months of ripening (milk collection for cheese production took place in July 2022). All cheese samples were collected in November 2022.

2.2. DNA Extraction

A 25 g aliquot was sampled from each cheese core once and homogenized in 225 mL of buffered peptone water (LAB M, Bury, Lancashire, UK), using a Stomacher (Laboratory Blender Stomacher 400; Seward, London, UK) for 2 min at 260 rpm. Ten milliliters of the filtered homogenized sample were collected in a 15-mL conical centrifuge tube and high-quality total DNA was extracted using DNeasy PowerFood Microbial kit (Qiagen, Hilden, Germany) according to the manufacturer’s instruction. DNA concentrations were measured using a fluorescence spectrometer (Qubit, Life Technologies, Carlsbad, CA, USA). The samples were stored at −20 °C until analysis.

2.3. High Throughput 16S rRNA Sequencing

Aliquots of the obtained DNA of each sample proceeded for the characterization of the microbial diversity through PCR amplification, library preparation and high-throughput sequencing of the V3-V4 region of the 16s RNA gene. The targeted DNA region was amplified using the primers 341F and 806R [42]. The amplicon libraries were prepared using Nextera XT index kit (Illumina Inc., San Diego, CA, USA) and purified using the AMPure XP system (Beckmann Coulter, Krefeld, Germany) according to the manufacturers’ instructions. Sequencing was conducted in a paired-end mode (PE300; only using reads of 275 each) with pooled samples containing 20% (v/v) PhiX standard library in the MiSeq Sequencing System (Illumina Inc., San Diego, CA, USA) using the MiSeq Reagent Kit v2 (300-cycles) (Illumina Inc., San Diego, CA, USA) amplifying the 465 bp fragment.

2.4. Data Analysis and Bioinformatics

The 16S rRNA gene amplicon data were analyzed and further processed using the “Integrated Microbial Next-generation sequencing” platform based on UPARSE. (IMNGS, www.imngs.org, accessed on 7 July 2022). A de-multiplexing (demultiplexer v3.pl) was performed before the sequences were trimmed by ten nucleotides. Sequences with nucleotides <200 and >600 and expected errors in paired reads >3 were excluded, and samples were screened for chimeras [43]. Operational taxonomic units (OTUs) were clustered at 97% similarity and OTUs with a relative abundance of <0.25% were removed. To generate a graphical overview of the alpha and beta diversity and the microbial composition, taxonomic binning was performed by Rhea using the set of R-scripts described by [44]. For all given results, p-values were corrected for multiple comparisons using the Wilcoxon rank-sum and/or Kruskal−Wallis Rank Sum statistical tests, unless stated otherwise. Significant OTUs were then identified at species level by EzBioCloud’s 16S rRNA gene-based ID (www.ezbiocloud.net, accessed on 16 September 2022). Data were visualized using Illustrator CS6 Version 16.0.0 (Adobe Inc., San José, CA, USA).

3. Results and Discussion

3.1. DNA Sequencing Analysis and Alpha Diversity

A total of 1,399,249 raw paired-end reads were sequenced from the thirty-four Gidotyri cheese samples. After merging quality filtering, chimera removal and normalization, a total of 1,116,188 high-quality sequences were obtained, with an average of 32,829 reads per sample (range 10,425 to 55,131). In total, 222 OTUs were observed.
Alpha diversity metrics, namely Shannon and Simpson diversity, were calculated; however, we considered effective richness as a more accurate measurement of bacterial diversity between the samples, as this index is not affected by sequence depth or normalization steps and takes into account bacterial taxa with a relative abundance over 0.25% for each sample [45]. In this study, both Artisanal_CS and Artisanal_IHS Gidotyri cheeses had increased effective richness compared to Ind. Gidotyri cheeses (p < 0.05, Figure 2). Increased microbial diversity has also been observed in previous studies comparing the microbiota of artisanal- and Ind.-type cheeses [27,40,46]. This finding further confirms the assumption that traditional cheese-making practices are directly linked to a more diverse cheese microbial profile.

3.2. Beta Diversity

We calculated beta diversity to evaluate the similarity of the microbial profiles between the three Gidotyri cheese groups. Different microbial communities were revealed between all three cheese groups (Permanova p < 0.05) demonstrated by the three separated clusters (Figure 3). Similarly, classification of industrial and homemade Feta cheese samples to separate clusters has previously been observed [27]. It is worth noting that, both in the current and the previously mentioned studies, the artisanal cluster was characterized by a higher dispersal of the samples, indicative of the higher variation among the microbial profile of the respective samples. Regarding the increased variability that was evident in the Artisanal_CS cluster, this can be explained by the fact that milk used for each cheese sample was supplied by a different goat farm. Contrarily, Artisanal_IHS cheese samples made from milk produced by a single goat farm formed a tighter cluster. The influence of the raw milk microbiota on the cheese microbial profile has already been extensively reviewed [3,47,48], supporting our observations.

3.3. Microbiota Diversity in Gidotyri Cheese Samples

This is the first study that utilized high throughput sequencing to achieve a more in-depth characterization of the microbiota in Artisanal and Industrial Gidotyri cheeses. Four phyla were present in all the samples of the three cheese groups with Firmicutes being predominant. In particular, higher abundance was observed in Ind. Gidotyri cheese samples (99.51%) followed by Artisanal_IHS (99.03%) and Artisanal_CS (88.10%) Gidotyri cheese samples with all being significantly different from each other (p < 0.05). Proteobacteria had a higher abundance in Artisanal_CS Gidotyri cheese samples (11.74%) compared to Artisanal_IHS (0.66%) and Ind. Gidotyri (0.43%) cheese samples (p > 0.05), while Bacteroidota and Actinobacteriota were present at <0.3% in all three Gidotyri cheese groups. The observed phyla with the predominance of Firmicutes has been observed in a variety of cheese types [4,23,38,46,49,50].
In the present study, we focus on the families with differences in the relative abundance between the three cheese groups; however, the complete list of families identified are presented in Figure S1 of the Supplementary File. Within the Firmicutes phylum, three families were significantly different between the three Gidotyri cheese groups (Figure 4A). Streptococcaceae had a higher abundance in Ind. Gidotyri cheeses (90.96%) compared to the other two cheese groups (73.71% for Artisanal_IHS and 63.85% for Artisanal_CS) (p < 0.05). Lactobacillaceae had a higher abundance in Artisanal_IHS (25.25%) compared to the Ind. Gidotyri cheeses (7.63%) (p < 0.05). The relative abundance of Lactobacillaceae in Artisanal_CS cheeses (20.48%) was numerically higher than Ind. Gidotyri cheeses (p > 0.05) and closer to the Artisanal_IHS. Based on our finding, the microbiota of Ind. Gidotyri cheese is less complex with the Streptococcaceae family representing >90% of the bacterial taxa. Contrarily, Artisanal Gidotyri cheeses include a significant percentage of the Lactobacillaceae family as well. Our findings resemble the ones reported by Samelis and Kakouri [40] that also observed a dominance of members of the Streptococcaceae in industrial galotyri cheeses, while Lactobacillaceae members were more prevalent in artisanal galotyri cheeses. The dominance of Streptococaceae followed by Lactobacillaceae in artisanal goat cheese was also reported in a recent study [51]. Carnobacteriaceae were solely present in Artisanal_CS despite being identified in a single Ind. Gidotyri cheese sample (p < 0.05). This family has been considered among the families involved in the acidification of milk during cheese production [3] and has been associated with anti-listerial activity in smear-ripened cheeses [52]. Within the Proteobacteria phylum, two families, namely Enterobacteriaceae and Moraxellaceae, were solely present in the Artisanal_CS despite the former being observed in a single Ind. Gidotyri cheese sample (p < 0.05, Figure 4B). These families are commonly found in raw milk and are considered markers of the hygiene conditions during the cheese production process [37,38,53]. There was also a tendency for increased prevalence of Hafniaceae in the Artisanal_CS compared to the other two cheese groups (p < 0.10, Figure 4B).
The thirty-five most abundant genera in all three Gidotyri cheese groups are presented in Figure 5, while the complete list of genera identified are given in Figure S2 of the Supplementary File. Lactococcus and Streptococcus represented the two major genera in all three cheese groups with relative abundance 43.4% and 30.6%, respectively, followed by Lactiplantibacillus (8.9%), Secundilactobacillus (4.4%) and Lactobacillus (2.9%), with the remaining genera being present at <1.6% in accordance with observations from previous studies on different cheese types with variations in the abundances of these genera [23,27,39,46,49,51]. Five genera were found to be significantly different in terms of prevalence (Fisher’s test) between the three cheese groups. Acinetobacter, Carnobacterium and Enterobacter had higher prevalence in Artisanal_CS cheeses (7 out of 15; 10 out of 15; 7 out of 15 samples) compared to Artisanal_IHS cheeses (0 out of 10 for all genera, p < 0.05) and Ind. cheeses (0 out of 9; 1 out of 9; 0 out of 9 samples, p < 0.05). Loigolactobacillus and Secundilactobacillus had higher prevalence in Artisanal_IHS cheeses (9 out of 10; 10 out of 10 samples) compared to Artisanal_CS cheeses (2 out of 15; 3 out of 15, p < 0.001) and Ind. cheeses (0 out of 9; 2 out of 9 samples, p < 0.001). In the present study, the representative species of each genus that dominated in the respective Gidotyri cheese group was identified and will be discussed in the subsequent section.

3.4. The Most Prevalent Bacterial Species in Artisanal- and Industrial-Type Gidotyri Cheese

The relative abundance of the bacterial species present in the three Gidotyri cheeses was additionally determined with the 29 most abundant based on their average relative abundance across all cheese samples from all cheese groups being presented in Table 1, along with their respective roles in cheese production and quality. Eight OTUs corresponding to eight different bacterial species were found to be significantly different in terms of prevalence (Fisher’s test) between the three cheese groups. Loigolactobacillus coryniformis (OTU 175), Secundilactobacillus malefermentans (OTU 48), and Streptococcus parauberis (OTU 50) had higher prevalence in Artisanal_IHS cheeses (9 out of 10; 10 out of 10; 9 out of 10 samples) compared to Artisanal_CS cheeses (2 out of 15; 3 out of 15; 2 out of 15 samples, p ≤ 0.001) and Ind. cheeses (0 out of 9; 2 out of 9; 1 out of 9 samples, p < 0.01). L. coryniformis has exhibited antibacterial activity against pathogens and spoilage microorganisms associated with acid, H2O2 and bacteriocin production [54,55], while S. malefermentans, a bacterium exclusively fermenting carbohydrates at low temperature, was recently identified as a core member of sauerkraut (fermented food product) carrying genes encoding for enzymes with significant contribution to the aroma development of the final product [56,57]. Str. parauberis is associated with small ruminant mastitis and has been identified as a minor component of cheeses produced with their milk [38,58,59]. Other mastitis-causing pathogens can be found in cheese via contaminated milk [60,61,62,63]. Carnobacterium maltaromaticum (OTU 23) and Enterobacter hormaechei subsp. hoffmannii (OTU 268) had higher prevalence in Artisanal_CS cheeses (10 out of 15; 7 out of 15 samples) compared to Artisanal_IHS cheeses (0 out of 10; 0 out of 10 samples, p < 0.05) and Ind. cheeses (1 out of 9; 0 out of 9 samples, p < 0.05). C. maltaromaticum comprises an important member of the cheese ripening microflora due to its contribution to aroma development, control of spoilage bacteria and anti-listerial bacteriocin production [64,65,66]. The role of E. hormaechei, an isolate from several artisanal sheep cheeses, is a bit controversial as it is considered both a poor hygiene indicator of cheese production and a potential contributing bacterium to cheese flavor [61,67,68]. A tendency for higher prevalence of Hafnia alvei (OTU 13) and Acinetobacter colistiniresistens (OTU 111) was additionally observed in Artisanal_CS compared to the other two cheese groups (p < 0.10). H. alvei is a frequent member of the microbiota in traditional cheeses possibly related to distinct organoleptic properties while also displaying antibacterial activity against foodborne pathogens [69]. A. colistiniresistens, a bacterial species with intrinsic resistance to polymyxins, has not been previously isolated in cheese or other food products [70]. Concerning the two Artisanal cheeses, Streptococcus thermophilus (OTU 3) was more prevalent in the Artisanal_IHS (10 out of 10 samples) cheese samples compared to Artisanal_CS (7 out of 15 samples, p < 0.05). This bacterial species is a widely used starter culture in cheese and other dairy products with well-known technological properties [71].
As a final point of this study, it is worth mentioning that the type of heat treatment implemented on milk influences the microbial composition of the produced cheese [48,72,73]. Therefore, the more diverse microbiota in artisanal Gidotyri cheeses can probably be attributed to the thermization of the raw milk (63 °C for 15 min) instead of the industrial practice of pasteurization (73 °C for 15 s). We assume that the higher prevalence of bacterial populations used as poor hygiene indicators in Artisanal_CS is likely associated with milk being obtained from multiple sources, namely 15 different goat farms, in contrast with Artisanal_IHS which was solely made from milk of a single goat farm. Based on our findings, specific bacterial species related to artisanal Gidotyri cheeses were detected, indicating the probability of linking traditional cheese-making practices to distinct microbial markers that could be used as traceability models to ensure their authenticity.
Table
Table 1. The 29 most abundant bacterial species, on average, in Artisanal_CS (Art. CS), Artisanal_IHS (Art. IHS) and Industrial (Ind.) Gidotyri cheese samples with their roles in cheese manufacturing, safety, and quality.
Table 1. The 29 most abundant bacterial species, on average, in Artisanal_CS (Art. CS), Artisanal_IHS (Art. IHS) and Industrial (Ind.) Gidotyri cheese samples with their roles in cheese manufacturing, safety, and quality.
Bacterial SpeciesIdentification Similarity (%) *Relative Abundance (%)Spore FormingRoleRef.
Art.CSArt. IHSInd.
Lactococcus lactis subsp. hordniae/subsp. lactis/Lactococcus cremoris subsp. tructae10042.81637.53050.749noStarter culture in dairy industry, food safety (production of bacteriocins, nisin)[74]
Streptococcus thermophilus99.7820.21434.53339.863noTraditional starter culture, acidifying activity, food safety, organoleptic properties[71]
Lactobacillus delbrueckii subsp. bulgaricus1005.5880.4650.173noTypically found in artisanal cheese, involved in cheese fermentation, production of folates[75,76]
Lactiplantibacillus paraplantarum/pentosus/argentoratensis/pingfangensis10010.1009.9665.887noLb. paraplantarum: found in artisanal cheeses, improving texture (viscosity) by exopolysaccharide production, food safety (production of bacteriocins, paraplantaricin)[77]
Lb. pentosus: involved in the production of beneficial metabolites (indolepyruvate and pantothenic acid), improves intestinal barrier function (probiotic potential)[78]
Lb. argentoratensis: capacity to metabolize different carbohydrates, involved in cheese fermentation, riboflavin and folate biosynthesis[79]
Lb. pingfangensis: isolated from traditional Chinese pickle[80]
Hafnia alvei1003.4340.0110.228noDevelopment of favourable organoleptic properties in cheese, anti-obesity properties in mice[69]
Escherichia fergusonii/Shigella sonnei/Shigella flexneri1001.6840.0220.055noPoor hygiene indicator of cheese production [81,82]
Leuconostoc mesenteroides subsp. mesenteroides/subsp. cremoris/subsp. dextranicum/subsp. Jonggajibkimchii/Leuconostoc suionicum 1002.0470.0000.132noFlavor-producing starter or adjunct cultures in dairy products[83]
Acinetobacter colistiniresistens98.881.9490.0050.031noIsolated in human clinical specimens, resistance to polymyxins[70]
Secundilactobacillus malefermentans99.780.92112.8920.945noFood fermentation at low temperatures (sauerkraut), possible contribution to the aroma development[56,57]
Loigolactobacillus coryniformis subsp. torquens1001.1271.2850.008noIsolated from Turkish cheese and goat cheese, antibacterial properties[54,55]
Carnobacterium maltaromaticum1002.6330.0070.637noPsychotropic bacterium isolated in French cheeses, food protection against spoilage and pathogenic bacteria, major role in cheese ripening (favorable aroma)[64,65,66,84]
Enterobacter hormaechei subsp. hoffmannii 1002.7730.0270.026noPoor hygiene indicator of cheese production, potential contribution to cheese flavour[61,67,68]
Acinetobacter albensis99.780.7420.0090.001noIsolated in traditional Brazilian cheeses, possible involvement in spoilage and shelf-life (carp fillets) [7,85]
Staphylococcus aureus subsp. aureus 99.780.4870.0040.109noMilk contaminant associated with subclinical intramammary infections in ruminants[86]
Streptococcus parauberis1000.5531.6420.328no Isolated in artisanal sheep and goat cheeses and Feta cheese, milk contaminant associated with intramammary infections in small ruminants[38,58,59]
Marinilactibacillus psychrotolerans99.780.3220.0030.001noHalotolerant, involved in cheese fermentation and ripening, possibly sea salt contaminant[87]
Lacticaseibacillus rhamnosus99.780.3230.0030.323noInvolved in cheese ripening and flavor development, probiotic potential [88,89]
Limosilactobacillus fermentum99.780.2860.0060.008noInvolved in nutritional value, organoleptic and technological properties and preservation of food products[90]
Pseudomonas azotoformans/lactis/carnis/paracarnis/paralactis99.780.5540.0130.008noPseud. azotoformans: pigmented bacteria, causing visual spoilage in dairy foods, case of gray milk and blue pigment formation in cheese[91]
Pseud. lactis/paralactis: involved in spoilage of mozzarella cheese [92]
Pseud. carnis/paracarnis: N/A-
Streptococcus caledonicus1000.2540.0000.000noIsolated from clinical specimens of sheep[93]
Exiguobacterium artemiae1000.1560.0000.000noIsolated in Latin-style cheeses[94]
Pediococcus parvulus1000.0390.6200.075noAntibacterial activity against Bacillus cereus[95]
Bacillus mycoides/cereus/pseudomycoides/gaemokensis/bingmayongensis/toyonensis/wiedmannii/albus/paramycoides/proteolyticus99.780.0650.0000.098yesB. mycoides: cheese spoilage and pink discoloration in Ricotta cheese[96]
B.cereus: found in dairy products, foodborne pathogen (toxin production), spoilage[97,98]
B. wiedmannii: isolated from raw milk, cytotoxic member of the B. cereus group[99]
Bacillus pseudomycoides/gaemokensis/bingmayongensis/toyonensis/wiedmannii/albus/paramycoides/proteolyticus: N/A-
Pseudomonas bubulae99.770.1310.0010.002noIsolated from raw refrigerated processed meat of bovine origin[100]
Sphingomonas paucimobilis/sanguinis/yabuuchiae/pseudosanguinis99.760.1550.4610.010noSphingomonas paucimobilis, pseudosanguinis: improving texture (viscosity) by gellan polysaccharide production[101,102]
Sphingomonas yabuuchiae: improving texture (viscosity) by gellan polysaccharide production, isolated from Irish cheese[102,103]
Sphingomonas sanguinis: N/A-
Shewanella spp.99.780.0530.0000.000noFood spoilage, opportunistic human pathogen, goat skin microbiome [104,105,106]
Levilactobacillus huananensis/lindianensis99.550.0430.0000.000noIsolated from traditional Chinese pickle, putative amino acid decarboxylases for biogenic amines production [107,108]
Kaistella haifensis99.770.0540.2740.012noIsolated from raw milk and Feta cheese from Epirus, lipolytic and proteolytic activity[38,109,110]
Weissella thailandensis99.550.0010.0000.079noHalotolerant, proteolytic activity, isolated from Mexican cheese[111]
A color scale is used for the relative abundance, changing from red (absence) to different shades of yellow and reaching green color in response to the increasing values in the corresponding boxes for Artisanal_CS (Art.CS), Artisanal_IHS (Art.IHS) and Industrial (Ind.) Gidotyri cheeses. * The identification at bacterial species level was carried out by BLAST searching of each 16S rRNA sequence on EzBioCloud (https://www.ezbiocloud.net/, accessed on 16 September 2022). N/A: not available.

4. Conclusions

In this study, the microbiota of Gidotyri, a traditional Greek goat cheese, was determined for the first time using HTS methodology. Furthermore, the impact of the cheese-making practices, industrial-type versus artisanal-type, was examined. It was clearly demonstrated that artisanal Gidotyri cheeses were characterized by a more complex microbiota with specific families, genera and species linked to each subtype, namely Artisanal_CS and Artisanal_IHS. Contrarily, Ind. Gidotyri cheeses were dominated by the Streptococcaceae family. This initial screening study provides evidence on the presence of possible microbial markers which could serve as authenticity signatures of the manufacturing processes while also possessing distinct technological and beneficial properties that merit further investigation.

Supplementary Materials

The following supporting information can be downloaded at: https://www.mdpi.com/article/10.3390/microorganisms11010123/s1, Figure S1: Stacked barplots of the relative abundance of the families identified in the Artisanal_CS (Art. CS), Artisanal_IHS (Art. IHS) and Industrial (Ind.) gidotyri cheeses; Figure S2: Stacked barplots of the relative abundance of the genera identified in the Artisanal_CS (Art. CS), Artisanal_IHS (Art. IHS) and Industrial (Ind.) gidotyri cheeses.

Author Contributions

Conceptualization, A.T. and I.S.; methodology, A.T., I.L. and A.N.; software, A.N. and I.L.; validation, A.T. and C.V.; formal analysis, A.N., B.V. and I.L.; investigation, A.N. and I.S.; resources, C.V.; data curation, A.N.; writing—original draft preparation, A.N., B.V. and A.T.; writing—review and editing, A.N., B.V., I.S., C.V., I.L. and A.T.; visualization, A.N., B.V., C.V. and I.L.; supervision, A.T.; project administration, I.S. and A.T.; funding acquisition, I.S. All authors have read and agreed to the published version of the manuscript.

Funding

The research is co-funded by the European Union and by National Funds of Greece and Albania in the “Interreg—IPA CBC Greece Albania 2014–2020 Programme”, under project CheeseCult.

Institutional Review Board Statement

Not applicable.

Informed Consent Statement

Not applicable.

Data Availability Statement

Primary sequencing data were uploaded to ENA public repository with the accession number PRJEB58122.

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. Di Trana, A.; Di Rosa, A.R.; Addis, M.; Fiori, M.; Di Grigoli, A.; Morittu, V.M.; Spina, A.A.; Claps, S.; Chiofalo, V.; Licitra, G.; et al. The Quality of Five Natural, Historical Italian Cheeses Produced in Different Months: Gross Composition, Fat-Soluble Vitamins, Fatty Acids, Total Phenols, Antioxidant Capacity, and Health Index. Animals 2022, 12, 199. [Google Scholar] [CrossRef] [PubMed]
  2. Cirne, C.T.; Tunick, M.H.; Trout, R.E. The chemical and attitudinal differences between commercial and artisanal products. NPJ Sci. Food 2019, 3, 19. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  3. Montel, M.-C.; Buchin, S.; Mallet, A.; Delbes-Paus, C.; Vuitton, D.A.; Desmasures, N.; Berthier, F. Traditional cheeses: Rich and diverse microbiota with associated benefits. Int. J. Food Microbiol. 2014, 177, 136–154. [Google Scholar] [CrossRef]
  4. Riquelme, C.; Câmara, S.; Dapkevicius, M.D.L.N.E.; Vinuesa, P.; da Silva, C.C.G.; Malcata, F.X.; Rego, O.A. Characterization of the bacterial biodiversity in Pico cheese (an artisanal Azorean food). Int. J. Food Microbiol. 2015, 192, 86–94. [Google Scholar] [CrossRef] [Green Version]
  5. Bozoudi, D.; Torriani, S.; Zdragas, A.; Litopoulou-Tzanetaki, E. Assessment of microbial diversity of the dominant microbiota in fresh and mature PDO Feta cheese made at three mountainous areas of Greece. LWT Food Sci. Technol. 2016, 72, 525–533. [Google Scholar] [CrossRef]
  6. Tzora, A.; Nelli, A.; Voidarou, C.; Fthenakis, G.; Rozos, G.; Theodorides, G.; Bonos, E.; Skoufos, I. Microbiota “Fingerprint” of Greek Feta Cheese through Ripening. Appl. Sci. 2021, 11, 5631. [Google Scholar] [CrossRef]
  7. Kothe, C.I.; Mohellibi, N.; Renault, P. Revealing the microbial heritage of traditional Brazilian cheeses through metagenomics. Food Res. Int. 2022, 157, 111265. [Google Scholar] [CrossRef] [PubMed]
  8. Settanni, L.; Moschetti, G. Non-starter lactic acid bacteria used to improve cheese quality and provide health benefits. Food Microbiol. 2010, 27, 691–697. [Google Scholar] [CrossRef]
  9. Blaya, J.; Barzideh, Z.; Lapointe, G. Symposium review: Interaction of starter cultures and nonstarter lactic acid bacteria in the cheese environment. J. Dairy Sci. 2018, 101, 3611–3629. [Google Scholar] [CrossRef]
  10. de Almeida, W.L.G., Jr.; da SilvaFerrari, Í.; de Souza, J.V.; da Silva, C.D.A.; da Costa, M.M.; Dias, F.S. Characterization and evaluation of lactic acid bacteria isolated from goat milk. Food Control 2015, 53, 96–103. [Google Scholar] [CrossRef]
  11. Câmara, S.; Dapkevicius, A.; Riquelme, C.; Elias, R.; Silva, C.; Malcata, F.; Dapkevicius, M.; Câmara, S. Potential of lactic acid bacteria from Pico cheese for starter culture development. Food Sci. Technol. Int. 2019, 25, 303–317. [Google Scholar] [CrossRef] [PubMed]
  12. Kanak, E.K.; Yilmaz, S. Maldi-tof mass spectrometry for the identification and detection of antimicrobial activity of lactic acid bacteria isolated from local cheeses. Food Sci. Technol. 2019, 39, 462–469. [Google Scholar] [CrossRef] [Green Version]
  13. Morandi, S.; Silvetti, T.; Battelli, G.; Brasca, M. Can lactic acid bacteria be an efficient tool for controlling Listeria monocytogenes contamination on cheese surface? The case of Gorgonzola cheese. Food Control 2019, 96, 499–507. [Google Scholar] [CrossRef]
  14. Reuben, R.; Roy, P.; Sarkar, S.; Alam, A.R.U.; Jahid, I. Characterization and evaluation of lactic acid bacteria from indigenous raw milk for potential probiotic properties. J. Dairy Sci. 2020, 103, 1223–1237. [Google Scholar] [CrossRef] [PubMed]
  15. Zoumpopoulou, G.; Papadimitriou, K.; Alexandraki, V.; Mavrogonatou, E.; Alexopoulou, K.; Anastasiou, R.; Georgalaki, M.; Kletsas, D.; Tsakalidou, E.; Giaouris, E. The microbiota of Kalathaki and Melichloro Greek artisanal cheeses comprises functional lactic acid bacteria. LWT 2020, 130, 109570. [Google Scholar] [CrossRef]
  16. Nagpal, R.; Behare, P.; Rana, R.; Kumar, A.; Kumar, M.; Arora, S.; Morotta, F.; Jain, S.; Yadav, H. Bioactive peptides derived from milk proteins and their health beneficial potentials: An update. Food Funct. 2011, 2, 18–27. [Google Scholar] [CrossRef]
  17. Nielsen, S.D.; Beverly, R.L.; Qu, Y.; Dallas, D.C. Milk bioactive peptide database: A comprehensive database of milk protein-derived bioactive peptides and novel visualization. Food Chem. 2017, 232, 673–682. [Google Scholar] [CrossRef]
  18. Sousa, Y.R.; Medeiros, L.B.; Pintado, M.M.E.; Queiroga, R.C. Goat milk oligosaccharides: Composition, analytical methods and bioactive and nutritional properties. Trends Food Sci. Technol. 2019, 92, 152–161. [Google Scholar] [CrossRef]
  19. van Leeuwen, S.S.; Poele, E.M.T.; Chatziioannou, A.C.; Benjamins, E.; Haandrikman, A.; Dijkhuizen, L. Goat Milk Oligosaccharides: Their Diversity, Quantity, and Functional Properties in Comparison to Human Milk Oligosaccharides. J. Agric. Food Chem. 2020, 68, 13469–13485. [Google Scholar] [CrossRef]
  20. Zotta, T.; Ricciardi, A.; Condelli, N.; Parente, E. Metataxonomic and metagenomic approaches for the study of undefined strain starters for cheese manufacture. Crit. Rev. Food Sci. Nutr. 2022, 62, 3898–3912. [Google Scholar] [CrossRef]
  21. Ercolini, D. High-Throughput Sequencing and Metagenomics: Moving Forward in the Culture-Independent Analysis of Food Microbial Ecology. Appl. Environ. Microbiol. 2013, 79, 3148–3155. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  22. Afshari, R.; Pillidge, C.J.; Dias, D.A.; Osborn, A.M.; Gill, H. Cheesomics: The future pathway to understanding cheese flavour and quality. Crit. Rev. Food Sci. Nutr. 2020, 60, 33–47. [Google Scholar] [CrossRef] [PubMed]
  23. Aldrete-Tapia, A.; Escobar-Ramírez, M.C.; Tamplin, M.L.; Hernández-Iturriaga, M. High-throughput sequencing of microbial communities in Poro cheese, an artisanal Mexican cheese. Food Microbiol. 2014, 44, 136–141. [Google Scholar] [CrossRef]
  24. De Filippis, F.; La Storia, A.; Stellato, G.; Gatti, M.; Ercolini, D. A Selected Core Microbiome Drives the Early Stages of Three Popular Italian Cheese Manufactures. PLoS ONE 2014, 9, e89680. [Google Scholar] [CrossRef] [PubMed]
  25. Delcenserie, V.; Taminiau, B.; Delhalle, L.; Nezer, C.; Doyen, P.; Crevecoeur, S.; Roussey, D.; Korsak, N.; Daube, G. Microbiota characterization of a Belgian protected designation of origin cheese, Herve cheese, using metagenomic analysis. J. Dairy Sci. 2014, 97, 6046–6056. [Google Scholar] [CrossRef] [Green Version]
  26. De Filippis, F.; Genovese, A.; Ferranti, P.; Gilbert, J.A.; Ercolini, D. Metatranscriptomics reveals temperature-driven functional changes in microbiome impacting cheese maturation rate. Sci. Rep. 2016, 6, 21871. [Google Scholar] [CrossRef] [Green Version]
  27. Papadimitriou, K.; Anastasiou, R.; Georgalaki, M.; Bounenni, R.; Paximadaki, A.; Charmpi, C.; Alexandraki, V.; Kazou, M.; Tsakalidou, E. Comparison of the Microbiome of Artisanal Homemade and Industrial Feta Cheese through Amplicon Sequencing and Shotgun Metagenomics. Microorganisms 2022, 10, 1073. [Google Scholar] [CrossRef]
  28. Tsigkrimani, M.; Bakogianni, M.; Paramithiotis, S.; Bosnea, L.; Pappa, E.; Drosinos, E.H.; Skandamis, P.N.; Mataragas, M. Microbial Ecology of Artisanal Feta and Kefalograviera Cheeses, Part I: Bacterial Community and Its Functional Characteristics with Focus on Lactic Acid Bacteria as Determined by Culture-Dependent Methods and Phenotype Microarrays. Microorganisms 2022, 10, 161. [Google Scholar] [CrossRef]
  29. Sepe, L.; Argüello, A. Recent advances in dairy goat products. Asian Australas. J. Anim. Sci. 2019, 32, 1306–1320. [Google Scholar] [CrossRef] [Green Version]
  30. Verruck, S.; Dantas, A.; Prudencio, E.S. Functionality of the components from goat’s milk, recent advances for functional dairy products development and its implications on human health. J. Funct. Foods 2019, 52, 243–257. [Google Scholar] [CrossRef]
  31. Nayik, G.A.; Jagdale, Y.D.; Gaikwad, S.A.; Devkatte, A.N.; Dar, A.H.; Dezmirean, D.S.; Bobis, O.; Ranjha, M.M.A.N.; Ansari, M.J.; Hemeg, H.A.; et al. Recent Insights into Processing Approaches and Potential Health Benefits of Goat Milk and Its Products: A Review. Front. Nutr. 2021, 8, 789117. [Google Scholar] [CrossRef] [PubMed]
  32. Giorgio, D.; Di Trana, A.; Di Napoli, M.; Sepe, L.; Cecchini, S.; Rossi, R.; Claps, S. Comparison of cheeses from goats fed 7 forages based on a new health index. J. Dairy Sci. 2019, 102, 6790–6801. [Google Scholar] [CrossRef] [PubMed]
  33. Food and Agriculture Organization of the United Nations; FAOSTAT. FAOSTAT Statistical Database. Available online: http://www.fao.org/faostat (accessed on 20 June 2022).
  34. Litopoulou-Tzanetaki, E.; Tzanetakis, N. Microbiological characteristics of Greek traditional cheeses. Small Rumin. Res. 2011, 101, 17–32. [Google Scholar] [CrossRef]
  35. Tsafrakidou, P.; Bozoudi, D.; Pavlidou, S.; Kotzamanidis, C.; Hatzikamari, M.; Zdragas, A.; Litopoulou-Tzanetaki, E. Technological, phenotypic and genotypic characterization of lactobacilli from Graviera Kritis PDO Greek cheese, manufactured at two traditional dairies. LWT Food Sci. Technol. 2016, 68, 681–689. [Google Scholar] [CrossRef]
  36. Gantzias, C.; Lappa, I.K.; Aerts, M.; Georgalaki, M.; Manolopoulou, E.; Papadimitriou, K.; De Brandt, E.; Tsakalidou, E.; Vandamme, P. MALDI-TOF MS profiling of non-starter lactic acid bacteria from artisanal cheeses of the Greek island of Naxos. Int. J. Food Microbiol. 2020, 323, 108586. [Google Scholar] [CrossRef]
  37. Spyrelli, E.; Stamatiou, A.; Tassou, C.; Nychas, G.-J.; Doulgeraki, A. Microbiological and Metagenomic Analysis to Assess the Effect of Container Material on the Microbiota of Feta Cheese during Ripening. Fermentation 2020, 6, 12. [Google Scholar] [CrossRef] [Green Version]
  38. Papadakis, P.; Konteles, S.; Batrinou, A.; Ouzounis, S.; Tsironi, T.; Halvatsiotis, P.; Tsakali, E.; Van Impe, J.F.M.; Vougiouklaki, D.; Strati, I.F.; et al. Characterization of Bacterial Microbiota of P.D.O. Feta Cheese by 16S Metagenomic Analysis. Microorganisms 2021, 9, 2377. [Google Scholar] [CrossRef]
  39. Tzora, A.; Nelli, A.; Kritikou, A.S.; Katsarou, D.; Giannenas, I.; Lagkouvardos, I.; Thomaidis, N.S.; Skoufos, I. The “Crosstalk” between Microbiota and Metabolomic Profile of Kefalograviera Cheese after the Innovative Feeding Strategy of Dairy Sheep by Omega-3 Fatty Acids. Foods 2022, 11, 3164. [Google Scholar] [CrossRef]
  40. Samelis, J.; Kakouri, A. Major technological differences between an industrial-type and five artisan-type Greek PDO Galotyri market cheeses as revealed by great variations in their lactic acid microbiota. AIMS Agric. Food 2019, 4, 685–710. [Google Scholar] [CrossRef]
  41. Moatsou, G.; Govaris, A. White brined cheeses: A diachronic exploitation of small ruminants milk in Greece. Small Rumin. Res. 2011, 101, 113–121. [Google Scholar] [CrossRef]
  42. 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. [Google Scholar] [CrossRef] [PubMed]
  43. 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] [PubMed] [Green Version]
  44. Lagkouvardos, I.; Fischer, S.; Kumar, N.; Clavel, T. Rhea: A transparent and modular R pipeline for microbial profiling based on 16S rRNA gene amplicons. Peerj 2017, 5, e2836. [Google Scholar] [CrossRef] [Green Version]
  45. Reitmeier, S.; Hitch, T.C.A.; Treichel, N.; Fikas, N.; Hausmann, B.; Ramer-Tait, A.E.; Neuhaus, K.; Berry, D.; Haller, D.; Lagkouvardos, I.; et al. Handling of spurious sequences affects the outcome of high-throughput 16S rRNA gene amplicon profiling. ISME Commun. 2021, 1, 31. [Google Scholar] [CrossRef]
  46. Kamilari, E.; Anagnostopoulos, D.A.; Papademas, P.; Kamilaris, A.; Tsaltas, D. Characterizing Halloumi cheese’s bacterial communities through metagenomic analysis. LWT 2020, 126, 109298. [Google Scholar] [CrossRef] [Green Version]
  47. Yeluri Jonnala, B.R.; McSweeney, P.L.H.; Sheehan, J.J.; Cotter, P.D. Sequencing of the Cheese Microbiome and Its Relevance to Industry. Front. Microbiol. 2018, 9, 1020. [Google Scholar] [CrossRef] [Green Version]
  48. Tilocca, B.; Costanzo, N.; Morittu, V.M.; Spina, A.A.; Soggiu, A.; Britti, D.; Roncada, P.; Piras, C. Milk microbiota: Characterization methods and role in cheese production. J. Proteom. 2020, 210, 103534. [Google Scholar] [CrossRef]
  49. Quigley, L.; O’Sullivan, O.; Beresford, T.P.; Ross, R.P.; Fitzgerald, G.F.; Cotter, P.D. High-Throughput Sequencing for Detection of Subpopulations of Bacteria Not Previously Associated with Artisanal Cheeses. Appl. Environ. Microbiol. 2012, 78, 5717–5723. [Google Scholar] [CrossRef] [Green Version]
  50. Penland, M.; Falentin, H.; Parayre, S.; Pawtowski, A.; Maillard, M.-B.; Thierry, A.; Mounier, J.; Coton, M.; Deutsch, S.-M. Linking Pélardon artisanal goat cheese microbial communities to aroma compounds during cheese-making and ripening. Int. J. Food Microbiol. 2021, 345, 109130. [Google Scholar] [CrossRef]
  51. Tilocca, B.; Soggiu, A.; Iavarone, F.; Greco, V.; Putignani, L.; Ristori, M.V.; Macari, G.; Spina, A.A.; Morittu, V.M.; Ceniti, C.; et al. The Functional Characteristics of Goat Cheese Microbiota from a One-Health Perspective. Int. J. Mol. Sci. 2022, 23, 14131. [Google Scholar] [CrossRef]
  52. Monnet, C.; Bleicher, A.; Neuhaus, K.; Sarthou, A.-S.; Leclercq-Perlat, M.-N.; Irlinger, F. Assessment of the anti-listerial activity of microfloras from the surface of smear-ripened cheeses. Food Microbiol. 2010, 27, 302–310. [Google Scholar] [CrossRef] [PubMed]
  53. de Paula, A.C.L.; Medeiros, J.D.; Fernandes, G.D.R.; da Silva, V.L.; Diniz, C.G. Microbiome of industrialized Minas Frescal Cheese reveals high prevalence of putative bacteria: A concern in the One Health context. LWT 2021, 139, 110791. [Google Scholar] [CrossRef]
  54. Martín, R.; Olivares, M.; Marín, M.; Xaus, J.; Fernández, L.; Rodríguez, J. Characterization of a reuterin-producing Lactobacillus coryniformis strain isolated from a goat’s milk cheese. Int. J. Food Microbiol. 2005, 104, 267–277. [Google Scholar] [CrossRef] [PubMed]
  55. Mohammed, S.; Çon, A.H. Isolation and characterization of potential probiotic lactic acid bacteria from traditional cheese. LWT 2021, 152, 112319. [Google Scholar] [CrossRef]
  56. Nigatu, A.; Ahrné, S.; Molin, G. Temperature-Dependent Variation in API 50 CH Fermentation Profiles of Lactobacillus Species. Curr. Microbiol. 2000, 41, 21–26. [Google Scholar] [CrossRef]
  57. Tlais, A.Z.A.; Junior, W.J.F.L.; Filannino, P.; Campanaro, S.; Gobbetti, M.; Di Cagno, R. How Microbiome Composition Correlates with Biochemical Changes during Sauerkraut Fermentation: A Focus on Neglected Bacterial Players and Functionalities. Microbiol. Spectr. 2022, 10, e00168-00122. [Google Scholar] [CrossRef]
  58. Fuka, M.M.; Wallisch, S.; Engel, M.; Welzl, G.; Havranek, J.; Schloter, M. Dynamics of Bacterial Communities during the Ripening Process of Different Croatian Cheese Types Derived from Raw Ewe’s Milk Cheeses. PLoS ONE 2013, 8, e80734. [Google Scholar] [CrossRef] [Green Version]
  59. Rosa, N.M.; Penati, M.; Fusar-Poli, S.; Addis, M.F.; Tola, S. Species identification by MALDI-TOF MS and gap PCR–RFLP of non-aureus Staphylococcus, Mammaliicoccus, and Streptococcus spp. associated with sheep and goat mastitis. Vet. Res. 2022, 53, 84. [Google Scholar] [CrossRef]
  60. Fragkou, I.A.; Skoufos, J.; Cripps, P.J.; Kyriazakis, I.; Papaioannou, N.; Boscos, C.M.; Tzora, A.; Fthenakis, G.C. Differences in susceptibility to Mannheimia haemolytica-associated mastitis between two breeds of dairy sheep. J. Dairy Res. 2007, 74, 349–355. [Google Scholar] [CrossRef]
  61. Pangallo, D.; Šaková, N.; Koreňová, J.; Puškárová, A.; Kraková, L.; Valík, L.; Kuchta, T. Microbial diversity and dynamics during the production of May bryndza cheese. Int. J. Food Microbiol. 2014, 170, 38–43. [Google Scholar] [CrossRef]
  62. Kümmel, J.; Stessl, B.; Gonano, M.; Walcher, G.; Bereuter, O.; Fricker, M.; Grunert, T.; Wagner, M.; Ehling-Schulz, M. Staphylococcus aureus Entrance into the Dairy Chain: Tracking S. aureus from Dairy Cow to Cheese. Front. Microbiol. 2016, 7, 1603. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  63. Silva, G.; Castro, R.; Oliveira, L.; Sant’Anna, F.; Barbosa, C.; Sandes, S.; Silva, R.; Resende, M.; Lana, A.; Nunes, A.; et al. Viability of Staphylococcus aureus and expression of its toxins (SEC and TSST-1) in cheeses using Lactobacillus rhamnosus D1 or Weissella paramesenteroides GIR16L4 or both as starter cultures. J. Dairy Sci. 2020, 103, 4100–4108. [Google Scholar] [CrossRef] [PubMed]
  64. Afzal, M.I.; Delaunay, S.; Paris, C.; Borges, F.; Revol-Junelles, A.-M.; Cailliez-Grimal, C. Identification of metabolic pathways involved in the biosynthesis of flavor compound 3-methylbutanal from leucine catabolism by Carnobacterium maltaromaticum LMA 28. Int. J. Food Microbiol. 2012, 157, 332–339. [Google Scholar] [CrossRef] [PubMed]
  65. Afzal, M.I.; Ariceaga, C.C.G.; Lhomme, E.; Ali, N.K.; Payot, S.; Burgain, J.; Gaiani, C.; Borges, F.; Revol-Junelles, A.-M.; Delaunay, S.; et al. Characterization of Carnobacterium maltaromaticum LMA 28 for its positive technological role in soft cheese making. Food Microbiol. 2013, 36, 223–230. [Google Scholar] [CrossRef]
  66. Hammi, I.; Delalande, F.; Belkhou, R.; Marchioni, E.; Cianferani, S.; Ennahar, S. Maltaricin CPN, a new class IIa bacteriocin produced by Carnobacterium maltaromaticum CPN isolated from mould-ripened cheese. J. Appl. Microbiol. 2016, 121, 1268–1274. [Google Scholar] [CrossRef] [Green Version]
  67. Fuka, M.M.; Engel, M.; Skelin, A.; Redžepović, S.; Schloter, M. Bacterial communities associated with the production of artisanal Istrian cheese. Int. J. Food Microbiol. 2010, 142, 19–24. [Google Scholar] [CrossRef]
  68. Martelli, F.; Bancalari, E.; Neviani, E.; Bottari, B. Novel insights on pink discoloration in cheese: The case of Pecorino Toscano. Int. Dairy J. 2020, 111, 104829. [Google Scholar] [CrossRef]
  69. Ramos-Vivas, J.; Tapia, O.; Elexpuru-Zabaleta, M.; Pifarre, K.T.; Diaz, Y.A.; Battino, M.; Giampieri, F. The Molecular Weaponry Produced by the Bacterium Hafnia alvei in Foods. Molecules 2022, 27, 5585. [Google Scholar] [CrossRef]
  70. Nemec, A.; Radolfova-Krizova, L.; Maixnerova, M.; Sedo, O. Acinetobacter colistiniresistens sp. nov. (formerly genomic species 13 sensu Bouvet and Jeanjean and genomic species 14 sensu Tjernberg and Ursing), isolated from human infections and characterized by intrinsic resistance to polymyxins. Int. J. Syst. Evol. Microbiol. 2017, 67, 2134–2141. [Google Scholar] [CrossRef]
  71. Markakiou, S.; Gaspar, P.; Johansen, E.; Zeidan, A.A.; Neves, A.R. Harnessing the metabolic potential of Streptococcus thermophilus for new biotechnological applications. Curr. Opin. Biotechnol. 2020, 61, 142–152. [Google Scholar] [CrossRef]
  72. Pappa, E.C.; Kondyli, E.; Samelis, J. Microbiological and biochemical characteristics of Kashkaval cheese produced using pasteurised or raw milk. Int. Dairy J. 2019, 89, 60–67. [Google Scholar] [CrossRef]
  73. Tadjine, D.; Boudalia, S.; Bousbia, A.; Gueroui, Y.; Symeon, G.; Boudechiche, L.M.; Tadjine, A.; Chemmam, M. Milk heat treatment affects microbial characteristics of cows’ and goats’ “Jben” traditional fresh cheeses. Food Sci. Technol. 2021, 41, 136–143. [Google Scholar] [CrossRef]
  74. Mataragas, M. Investigation of genomic characteristics and carbohydrates’ metabolic activity of Lactococcus lactis subsp. lactis during ripening of a Swiss-type cheese. Food Microbiol. 2020, 87, 103392. [Google Scholar] [CrossRef] [PubMed]
  75. Stachelska, M.A.; Foligni, R. Development of a time-effective and highly specific quantitative real-time polymerase chain reaction assay for the identification of Lactobacillus delbrueckii subsp. bulgaricus and Streptococcus thermophilus in artisanal raw cow’s milk cheese. Acta Vet. Brno 2018, 87, 301–308. [Google Scholar] [CrossRef] [Green Version]
  76. Albano, C.; Silvetti, T.; Brasca, M. Screening of lactic acid bacteria producing folate and their potential use as adjunct cultures for cheese bio-enrichment. FEMS Microbiol. Lett. 2020, 367, fnaa059. [Google Scholar] [CrossRef]
  77. Margalho, L.P.; Feliciano, M.D.; Silva, C.E.; Abreu, J.S.; Piran, M.V.F.; Sant’Ana, A.S. Brazilian artisanal cheeses are rich and diverse sources of nonstarter lactic acid bacteria regarding technological, biopreservative, and safety properties—Insights through multivariate analysis. J. Dairy Sci. 2020, 103, 7908–7926. [Google Scholar] [CrossRef]
  78. Ma, Y.; Hu, C.; Yan, W.; Jiang, H.; Liu, G. Lactobacillus pentosus Increases the Abundance of Akkermansia and Affects the Serum Metabolome to Alleviate DSS-Induced Colitis in a Murine Model. Front. Cell Dev. Biol. 2020, 8, 591408. [Google Scholar] [CrossRef]
  79. Syrokou, M.K.; Paramithiotis, S.; Drosinos, E.H.; Bosnea, L.; Mataragas, M. A Comparative Genomic and Safety Assessment of Six Lactiplantibacillus plantarum subsp. argentoratensis Strains Isolated from Spontaneously Fermented Greek Wheat Sourdoughs for Potential Biotechnological Application. Int. J. Mol. Sci. 2022, 23, 2487. [Google Scholar] [CrossRef]
  80. Liu, D.D.; Gu, C.T. Lactobacillus pingfangensis sp. nov., Lactobacillus daoliensis sp. nov., Lactobacillus nangangensis sp. nov., Lactobacillus daowaiensis sp. nov., Lactobacillus dongliensis sp. nov., Lactobacillus songbeiensis sp. nov. and Lactobacillus kaifaensis sp. nov., isolated from traditional Chinese pickle. Int. J. Syst. Evol. Microbiol. 2019, 69, 3237–3247. [Google Scholar] [CrossRef]
  81. Molina, F.; Simancas, A.; Tabla, R.; Gómez, A.; Roa, I.; Rebollo, J.E. Diversity and Local Coadaptation of Escherichia coli and Coliphages From Small Ruminants. Front. Microbiol. 2020, 11, 564522. [Google Scholar] [CrossRef] [PubMed]
  82. Selover, B.; Johnson, J.; Waite-Cusic, J.G. Population dynamics of coliforms in a commercial Cheddar cheese production facility. J. Dairy Sci. 2021, 104, 7480–7488. [Google Scholar] [CrossRef] [PubMed]
  83. Pogačić, T.; Maillard, M.-B.; Leclerc, A.; Hervé, C.; Chuat, V.; Valence, F.; Thierry, A. Lactobacillus and Leuconostoc volatilomes in cheese conditions. Appl. Microbiol. Biotechnol. 2016, 100, 2335–2346. [Google Scholar] [CrossRef] [PubMed]
  84. Cailliez-Grimal, C.; Edima, H.; Revol-Junelles, A.-M.; Millière, J.-B. Short Communication: Carnobacterium maltaromaticum: The Only Carnobacterium Species in French Ripened Soft Cheeses as Revealed by Polymerase Chain Reaction Detection. J. Dairy Sci. 2007, 90, 1133–1138. [Google Scholar] [CrossRef] [PubMed]
  85. Kaszab, E.; Farkas, M.; Radó, J.; Micsinai, A.; Nyírő-Fekete, B.; Szabó, I.; Kriszt, B.; Urbányi, B.; Szoboszlay, S. Novel members of bacterial community during a short-term chilled storage of common carp (Cyprinus carpio). Folia Microbiol. 2022, 67, 299–310. [Google Scholar] [CrossRef] [PubMed]
  86. Contreras, A.; Sierra, D.; Sánchez, A.; Corrales, J.; Marco, J.; Paape, M.; Gonzalo, C. Mastitis in small ruminants. Small Rumin. Res. 2007, 68, 145–153. [Google Scholar] [CrossRef]
  87. Ishikawa, M.; Kodama, K.; Yasuda, H.; Okamoto-Kainuma, A.; Koizumi, K.; Yamasato, K. Presence of halophilic and alkaliphilic lactic acid bacteria in various cheeses. Lett. Appl. Microbiol. 2007, 44, 308–313. [Google Scholar] [CrossRef]
  88. Mathipa-Mdakane, M.G.; Thantsha, M.S. Lacticaseibacillus rhamnosus: A Suitable Candidate for the Construction of Novel Bioengineered Probiotic Strains for Targeted Pathogen Control. Foods 2022, 11, 785. [Google Scholar] [CrossRef] [PubMed]
  89. Lazzi, C.; Povolo, M.; Locci, F.; Bernini, V.; Neviani, E.; Gatti, M. Can the development and autolysis of lactic acid bacteria influence the cheese volatile fraction? The case of Grana Padano. Int. J. Food Microbiol. 2016, 233, 20–28. [Google Scholar] [CrossRef]
  90. Ale, E.C.; Rojas, M.F.; Reinheimer, J.A.; Binetti, A.G. Lactobacillus fermentum: Could EPS production ability be responsible for functional properties? Food Microbiol. 2020, 90, 103465. [Google Scholar] [CrossRef]
  91. Makarov, D.A.; Ivanova, O.E.; Pomazkova, A.V.; Egoreva, M.A.; Prasolova, O.V.; Lenev, S.V.; Gergel, M.A.; Bukova, N.K.; Karabanov, S.Y. Antimicrobial resistance of commensal Enterococcus faecalis and Enterococcus faecium from food-producing animals in Russia. Vet. World 2022, 15, 611–621. [Google Scholar] [CrossRef]
  92. Quintieri, L.; Caputo, L.; De Angelis, M.; Fanelli, F. Genomic Analysis of Three Cheese-Borne Pseudomonas lactis with Biofilm and Spoilage-Associated Behavior. Microorganisms 2020, 8, 1208. [Google Scholar] [CrossRef] [PubMed]
  93. Foster, G.; Kirchner, M.; Muchowski, J.; Duggett, N.; Randall, L.; Knight, H.I.; Whatmore, A.M. Streptococcus caledonicus sp. nov., isolated from sheep. Int. J. Syst. Evol. Microbiol. 2020, 70, 2611–2615. [Google Scholar] [CrossRef] [PubMed]
  94. Lusk, T.S.; Ottesen, A.R.; White, J.R.; Allard, M.W.; Brown, E.W.; Kase, J.A. Characterization of microflora in Latin-style cheeses by next-generation sequencing technology. BMC Microbiol. 2012, 12, 254. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  95. Immerstrand, T.; Paul, C.J.; Rosenquist, A.; Deraz, S.; Mårtensson, O.B.; Ljungh, Å.; Blücher, A.; Öste, R.; Holst, O.; Karlsson, E.N. Characterization of the Properties of Pediococcus parvulus for Probiotic or Protective Culture Use. J. Food Prot. 2010, 73, 960–966. [Google Scholar] [CrossRef]
  96. Sattin, E.; Andreani, N.; Carraro, L.; Fasolato, L.; Balzan, S.; Novelli, E.; Squartini, A.; Telatin, A.; Simionati, B.; Cardazzo, B. Microbial dynamics during shelf-life of industrial Ricotta cheese and identification of a Bacillus strain as a cause of a pink discolouration. Food Microbiol. 2016, 57, 8–15. [Google Scholar] [CrossRef]
  97. Montone, A.M.I.; Capuano, F.; Mancusi, A.; Di Maro, O.; Peruzy, M.F.; Proroga, Y.T.R.; Cristiano, D. Exposure to Bacillus cereus in Water Buffalo Mozzarella Cheese. Foods 2020, 9, 1899. [Google Scholar] [CrossRef]
  98. Vidic, J.; Chaix, C.; Manzano, M.; Heyndrickx, M. Food Sensing: Detection of Bacillus cereus Spores in Dairy Products. Biosensors 2020, 10, 15. [Google Scholar] [CrossRef] [Green Version]
  99. Miller, R.A.; Beno, S.M.; Kent, D.J.; Carroll, L.; Martin, N.H.; Boor, K.; Kovac, J. Bacillus wiedmannii sp. nov., a psychrotolerant and cytotoxic Bacillus cereus group species isolated from dairy foods and dairy environments. Int. J. Syst. Evol. Microbiol. 2016, 66, 4744–4753. [Google Scholar] [CrossRef]
  100. Lick, S.; Kröckel, L.; Wibberg, D.; Winkler, A.; Blom, J.; Goesmann, A.; Kalinowski, J. Pseudomonas bubulae sp. nov., isolated from beef. Int. J. Syst. Evol. Microbiol. 2020, 70, 292–301. [Google Scholar] [CrossRef]
  101. Fialho, A.M.; Martins, L.O.; Donval, M.-L.; Leitão, J.H.; Ridout, M.J.; Jay, A.J.; Morris, V.J.; Sá-Correia, I. Structures and Properties of Gellan Polymers Produced by Sphingomonas paucimobilis ATCC 31461 from Lactose Compared with Those Produced from Glucose and from Cheese Whey. Appl. Environ. Microbiol. 1999, 65, 2485–2491. [Google Scholar] [CrossRef]
  102. Raghunandan, K.; Kumar, A.; Kumar, S.; Permaul, K.; Singh, S. Production of gellan gum, an exopolysaccharide, from biodiesel-derived waste glycerol by Sphingomonas spp. 3 Biotech 2018, 8, 71. [Google Scholar] [CrossRef] [PubMed]
  103. Kamilari, E.; Tsaltas, D.; Stanton, C.; Ross, R.P. Metataxonomic Mapping of the Microbial Diversity of Irish and Eastern Mediterranean Cheeses. Foods 2022, 11, 2483. [Google Scholar] [CrossRef] [PubMed]
  104. Pushpam, P.L.; Rajesh, T.; Gunasekaran, P. Identification and characterization of alkaline serine protease from goat skin surface metagenome. AMB Express 2011, 1, 3. [Google Scholar] [CrossRef] [Green Version]
  105. Yousfi, K.; Bekal, S.; Usongo, V.; Touati, A. Current trends of human infections and antibiotic resistance of the genus Shewanella. Eur. J. Clin. Microbiol. Infect. Dis. 2017, 36, 1353–1362. [Google Scholar] [CrossRef]
  106. Palevich, N.; Palevich, F.P.; Gardner, A.; Brightwell, G.; Mills, J. Genome collection of Shewanella spp. isolated from spoiled lamb. Front. Microbiol. 2022, 13, 976152. [Google Scholar] [CrossRef]
  107. Long, G.Y.; Gu, C.T. Lactobacillus jixianensis sp. nov., Lactobacillus baoqingensis sp. nov., Lactobacillus jiayinensis sp. nov., Lactobacillus zhaoyuanensis sp. nov., Lactobacillus lindianensis sp. nov., Lactobacillus huananensis sp. nov., Lactobacillus tangyuanensis sp. nov., Lactobacillus fuyuanensis sp. nov., Lactobacillus tongjiangensis sp. nov., Lactobacillus fujinensis sp. nov. and Lactobacillus mulengensis sp. nov., isolated from Chinese traditional pickle. Int. J. Syst. Evol. Microbiol. 2019, 69, 2340–2353. [Google Scholar] [CrossRef] [PubMed]
  108. Berthoud, H.; Wechsler, D.; Irmler, S. Production of Putrescine and Cadaverine by Paucilactobacillus wasatchensis. Front. Microbiol. 2022, 13, 842403. [Google Scholar] [CrossRef]
  109. Hantsis-Zacharov, E.; Halpern, M. Chryseobacterium haifense sp. nov., a psychrotolerant bacterium isolated from raw milk. Int. J. Syst. Evol. Microbiol. 2007, 57, 2344–2348. [Google Scholar] [CrossRef]
  110. Hantsis-Zacharov, E.; Halpern, M. Culturable Psychrotrophic Bacterial Communities in Raw Milk and Their Proteolytic and Lipolytic Traits. Appl. Environ. Microbiol. 2007, 73, 7162–7168. [Google Scholar] [CrossRef] [Green Version]
  111. Morales, F.; Morales, J.I.; Hernández, C.H.; Hernández-Sánchez, H. Isolation and Partial Characterization of Halotolerant Lactic Acid Bacteria from Two Mexican Cheeses. Appl. Biochem. Biotechnol. 2011, 164, 889–905. [Google Scholar] [CrossRef]
Microorganisms 11 00123 g001 550
Figure 1. (A) A graphical representation of the sampling scheme. For each dairy, samples were collected from different cheese-making lots at the same ripening stage (3 months). The number of Gidotyri cheese samples from each dairy type is presented in the figure. (B) The flow chart shows the main production steps of Gidotyri cheese including the differences between industrial and artisanal manufacturing processes. CS: commercial starter cultures; IHS: in-house starter cultures; Ind.: Industrial.
Figure 1. (A) A graphical representation of the sampling scheme. For each dairy, samples were collected from different cheese-making lots at the same ripening stage (3 months). The number of Gidotyri cheese samples from each dairy type is presented in the figure. (B) The flow chart shows the main production steps of Gidotyri cheese including the differences between industrial and artisanal manufacturing processes. CS: commercial starter cultures; IHS: in-house starter cultures; Ind.: Industrial.
Microorganisms 11 00123 g001
Microorganisms 11 00123 g002 550
Figure 2. Dot plot of Effective Richness (on the OTU level) between Artisanal_CS (Art. CS), Artisanal_IHS (Art. IHS) and Industrial (Ind.) Gidotyri cheese samples. The red bold lines represent the median. SymbolGidotyri. ** indicates the statistical significance level for the pairwise Mann–Whitney U test after FDR correction (** p< 0.01).
Figure 2. Dot plot of Effective Richness (on the OTU level) between Artisanal_CS (Art. CS), Artisanal_IHS (Art. IHS) and Industrial (Ind.) Gidotyri cheese samples. The red bold lines represent the median. SymbolGidotyri. ** indicates the statistical significance level for the pairwise Mann–Whitney U test after FDR correction (** p< 0.01).
Microorganisms 11 00123 g002
Microorganisms 11 00123 g003 550
Figure 3. Multidimensional scaling (MDS) plot based on the generalized Unifrac dissimilarity matrix of the microbial profiles from Artisanal_CS, Artisanal_IHS and Ind. Gidotyri cheese samples. SymbolGidotyri. ** indicates the statistical significance level for the pairwise PERMANOVA test after FDR correction (** p < 0.01).
Figure 3. Multidimensional scaling (MDS) plot based on the generalized Unifrac dissimilarity matrix of the microbial profiles from Artisanal_CS, Artisanal_IHS and Ind. Gidotyri cheese samples. SymbolGidotyri. ** indicates the statistical significance level for the pairwise PERMANOVA test after FDR correction (** p < 0.01).
Microorganisms 11 00123 g003
Microorganisms 11 00123 g004 550
Figure 4. Differential abundance or prevalence of selected bacterial families belonging to Lactobacillales (A) and Enterobacterales (B) between the Artisanal_CS (Art. CS), Artisanal_IHS (Art. IHS) and Industrial (Ind.) Gidotyri cheeses. The red bold lines represent the median, while symbolGidotyri* indicates statistically significant differences in abundance between cheese groups (Mann–Whitney U statistical test) with the number of stars representing the level of significance (<0.05, * <0.01, ** p < 0.01). Symbol (+) indicates statistically significant differences in prevalence between cheese groups (Fisher’s statistical test) with the number of crosses representing the level of significance (+ < 0.05, + + < 0.01).
Figure 4. Differential abundance or prevalence of selected bacterial families belonging to Lactobacillales (A) and Enterobacterales (B) between the Artisanal_CS (Art. CS), Artisanal_IHS (Art. IHS) and Industrial (Ind.) Gidotyri cheeses. The red bold lines represent the median, while symbolGidotyri* indicates statistically significant differences in abundance between cheese groups (Mann–Whitney U statistical test) with the number of stars representing the level of significance (<0.05, * <0.01, ** p < 0.01). Symbol (+) indicates statistically significant differences in prevalence between cheese groups (Fisher’s statistical test) with the number of crosses representing the level of significance (+ < 0.05, + + < 0.01).
Microorganisms 11 00123 g004
Microorganisms 11 00123 g005 550
Figure 5. Stacked barplots of the relative abundance of the 35 most abundant genera, on average, in the Artisanal_CS (Art. CS), Artisanal_IHS (Art. IHS) and Industrial (Ind.) Gidotyri cheeses.
Figure 5. Stacked barplots of the relative abundance of the 35 most abundant genera, on average, in the Artisanal_CS (Art. CS), Artisanal_IHS (Art. IHS) and Industrial (Ind.) Gidotyri cheeses.
Microorganisms 11 00123 g005
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

Nelli, A.; Venardou, B.; Skoufos, I.; Voidarou, C.; Lagkouvardos, I.; Tzora, A. An Insight into Goat Cheese: The Tales of Artisanal and Industrial Gidotyri Microbiota. Microorganisms 2023, 11, 123. https://doi.org/10.3390/microorganisms11010123

AMA Style

Nelli A, Venardou B, Skoufos I, Voidarou C, Lagkouvardos I, Tzora A. An Insight into Goat Cheese: The Tales of Artisanal and Industrial Gidotyri Microbiota. Microorganisms. 2023; 11(1):123. https://doi.org/10.3390/microorganisms11010123

Chicago/Turabian Style

Nelli, Aikaterini, Brigkita Venardou, Ioannis Skoufos, Chrysoula (Chrysa) Voidarou, Ilias Lagkouvardos, and Athina Tzora. 2023. "An Insight into Goat Cheese: The Tales of Artisanal and Industrial Gidotyri Microbiota" Microorganisms 11, no. 1: 123. https://doi.org/10.3390/microorganisms11010123

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