Literature DB >> 30420851

Characterization of Bacterial Communities in Mexican Artisanal Raw Milk "Bola de Ocosingo" Cheese by High-Throughput Sequencing.

Alejandro Aldrete-Tapia1, Claudia Meyli Escobar-Ramírez2, Mark L Tamplin3, Montserrat Hernández-Iturriaga1.   

Abstract

The dynamics of bacteria community of "Bola de Ocosingo" cheese, a Mexican artisanal raw milk cheese was investigated by high-throughput sequencing (454 pyrosequencing). Dairy samples (raw milk, curd, cheese at 50 and 110 days of ripening) were collected at dry (March-June) and rainy season (August-November) from three producers located in Chiapas, Mexico. In general, raw milk contained high bacterial diversity which was reduced throughout cheese manufacture. However, in two productions an important increase during cheese ripening was observed probably due to cross-contamination. Species such as Streptococcus thermophilus, Lactococcus lactis, Lactobacillus helveticus, L. delbrueckii and L. plantarum from which potential probiotic strains may be obtained, predominated during processing, varying its prevalence from one producer to another. Furthermore, low proportions of Escherichia coli/Shigella flexnerii were detected in almost all processes, however, could not be recovered by traditional methodology, indicating presence of non-cultivable cells. This work provides insights into bacteria communities of Bola de Ocosingo cheese for starter culture development, many of which are reported to provide health related benefits, and the usefulness of high-throughput sequencing to evidence cross-contamination during processing.

Entities:  

Keywords:  artisanal cheese; lactic acid bacteria; microbial communities; pyrosequencing; raw milk

Year:  2018        PMID: 30420851      PMCID: PMC6217346          DOI: 10.3389/fmicb.2018.02598

Source DB:  PubMed          Journal:  Front Microbiol        ISSN: 1664-302X            Impact factor:   5.640


Introduction

“Bola de Ocosingo” cheese is a Mexican artisanal short-ripened cheese elaborated with raw milk produced in Chiapas, Mexico, and is characterized for uneven quality as a result of differences in processing conditions, the use of traditional acidification by autochthonous lactic acid bacteria (LAB) present in the raw materials, and the absence of controls in storage. These factors limit the distribution to regional level and furthermore, represent a health risk for consumers as the raw milk may contain foodborne pathogens (Cervantes et al., 2006). For cheese-making producers, Mexican normativity indicates the use of pasteurized milk (Nom-243-SSA1-2010, 2010). However, pasteurization eliminates some of the indigenous microflora in the raw milk, affecting adversely sensorial characteristics such as flavor, odor and texture quality (Albenzio et al., 2001). Adding microorganisms (such as LAB) selected from artisanal production process, as starter culture to produce cheese using pasteurized milk would allow the development of desirable sensorial characteristics, constant quality and safety in the final product (Torres-Llanez et al., 2006). Studies focused on bacterial biodiversity during cheese processing may serve as the first step in the development of starter cultures containing technologically relevant microorganisms from the cheese under study (Riquelme et al., 2015). Furthermore, these microorganisms could provide probiotic effects in the host, if properly isolated and characterized (Monnet and Bogovic, 2012). To address the diversity of microbial communities throughout cheese manufacture and ripening, culture-independent molecular techniques such as pyrosequencing has been applied enabling rapid insight into composition, structure and dynamics of microbial communities (Alegria et al., 2012). In this study, high-throughput sequencing was used to describe dynamics of bacterial communities during processing of Bola de Ocosingo cheese.

Materials and Methos

Cheese

Bola de Ocosingo cheese was made with raw milk from Braunvieh, Brown Swiss and Zebu cows. A portion of the raw milk was skimmed, obtaining cream that was added to the batch process, in a portion of 4 Kg of cream per 100 L of milk. The mixture was curdled using 2.5 mL of commercial calf rennet 1:10,000 (Cuamex, Mexico) for 5–12 h without addition of CaCl2. After 4–8 h, the curd was cut, rested for 12 h, transferred to a muslin cloth sack, hanged to drain whey for up to 5 days, and then finally salted (3–4%). Dry curd was transferred to a new muslin sack, hanged for up to 5 days, and this step repeated for 50 days to obtain a ripened curd. Curd was then crumbled and mixed with butter only if needed, in a portion of 0.3–0.5 Kg per 10 Kg of ripened curd, obtaining a texture similar to double-cream cheese, shaped in balls (200–300 g) and covered with pasta filata cheese obtained from recently skimmed milk which was acidified with vinegar, curdled, whey was drained, then boiling water was added to melt the curd. It can be sold fresh (50 days of ripening), or aged an additional 2 months (110 days of ripening). All the processing, distribution and storage in the market is at room temperature, the final product is sold without cover other than the hardened pasta filata, which is not consumed.

Sample Collection

Twenty-four samples were obtained from three producers (A, B, and C) in the state of Chiapas, Mexico, collected at dry (March-June) and rainy seasons (August-November). One sample of raw milk, curd, fresh cheese (curd at 50 days of ripening mixed with butter and covered with pasta filata) and ripened cheese (110 days of ripening) from the same batch was obtained from each manufacture and season. Samples were stored at -20°C and transported to the Universidad Autónoma de Querétaro for analysis.

DNA Extraction

Total genomic DNA was extracted as previously reported (Aldrete-Tapia et al., 2014) consisting in a pre-treatment to remove food lipids, proteins and salts, obtaining the cell pellet. Cells were subjected to lysis by heat and powdered glass and DNA was purified with phenol-chloroform, and ethanol precipitation.

Pyrosequencing (454 Sequencing)

DNA sequencing was performed at MR DNA[1] (Shallowater, TX, United States). Briefly, the 16S rRNA gene was amplified using the primers 27Fmod (AGRGTTTGATCMTGGCTCAG) and 530R (CCGCNGCNGCTGGCAC); 454-adaptors were included in the forward primer as well as a barcode for each sample. The sequencing was performed utilizing a Roche 454 FLX titanium (Roche diagnostics Ltd., West Sussex, United Kingdom) instrument and reagents, following the manufacturer’s instructions. The sequence data were processed using Mothur version 1.31.2 software (Schloss et al., 2009) with a modified pipeline. Briefly, sequences were subjected to quality controls and the 454-adaptors trimmed; unique sequences were aligned to the SILVA reference database. Chimeras were removed from aligned sequences with the uchime algorithm and classified to obtain the taxonomic assignment using the Silva 16S rRNA gene database. The final sequences were normalized to the lower number of sequences reads (data was subsampled to 1834 sequences). Good’s coverage, Chao1 richness and Inverse Simpson diversity indices were calculated and rarefaction curves produced. Quality sequences were aligned to the 16S rRNA gene sequences using the BLAST tool from NCBI. Permutational multivariate analysis of variance (PERMANOVA) calculating Bray-Curtis dissimilarity was used to determine if proportions of main species detected were different across seasons, producers and sample type with the function Adonis in the library vegan (Oksanen et al., 2016) for R software (R Core Team, 2016).

Results

Bioinformatic Analysis of Sequences

A total of 160,617 quality reads with average length of 280 bp (range = 264 to 327) were obtained from 24 dairy samples after Mothur pipeline. Number of sequence reads and OTUs, as well as diversity, richness and coverage estimators (calculated with an identity at 3% sequence similarity level) are shown in Table 1. Rarefaction curves approached a plateau, meaning most microbial diversity was captured within the number of samples (Supplementary Figure S1). Good’s coverage indicated a satisfactory overall sampling with levels above 99%.
Table 1

OTUs identified at 97% similarity, species richness estimate (Chao1), diversity index (inverse Simpson) and coverage for 16S rRNA sequencing of dairy samples from Bola de Ocosingo cheese production.

ManufacturerSeasonSampleReadsOTUsChao1Inverse SimpsonGood’s coverage
ADryMilk7984217295.96(259.19–364.80)12.97(12.43–13.56)99.16%
Curd21863973(49.10–153.42)3.89(3.77–4.01)99.22%
Cheese 5020063035(31.16–51.57)2.80(2.69–2.92)99.5%
Cheese 11040142436(26.66–78.20)1.12(1.1–1.13)99.78%
RainyMilk12267311505.24(430.29–627.28)8.22(7.98–8.49)99.01%
Curd3008482122.07(98.95–176.73)1.36(1.35–1.37)99.89%
Cheese 502110477111.36(90.39–165.16)2.48(2.46–2.50)99.87%
Cheese 11019618162279.30(223.46–385.86)4.22(4.17–4.27)99.65%
BDryMilk30341926(20.34–55.54)1.21(1.19–1.24)99.77%
Curd20543553.20(40.1–99.89)3.58(3.48–3.69)99.32%
Cheese 5027255696.63(71.02–165.89)1.52(1.47–1.58)99.05%
Cheese 11035632427(24.5–41.95)1.41(1.38–1.45)99.83%
RainyMilk66542627.50(26.15–41.08)5.21(5.06–5.36)99.95%
Curd18344663(51.34–100.16)2.14(2.03–2.27)99.07%
Cheese 50482881100.71(88.32–134.09)5.12(4.91–5.34)99.50%
Cheese 1108410145291.30(223.32–418.28)5(4.87–5.12)99.08%
CDryMilk238876106.67(87.15–160.35)4.74(4.52–4.99)99.00%
Curd72237793.87(83.15–123.26)2.44(2.38–2.50)99.68%
Cheese 5033354669.75(53.99–116.61)1.84(1.78–1.91)99.4%
Cheese 110218050100.14(68.47–186.09)1.46(1.41–1.52)98.76%
RainyMilk358992119.60(102.11–167.35)9.64(9.21–10.11)99.33%
Curd23414192(55.99–214.50)2.12(2.03–2.23)99.23%
Cheese 5033864153.75(45.14–80.28)1.53(1.49–1.58)99.47%
Cheese 11038102631.63(27.32–50.06)1.18(1.16–1.2)99.74%
OTUs identified at 97% similarity, species richness estimate (Chao1), diversity index (inverse Simpson) and coverage for 16S rRNA sequencing of dairy samples from Bola de Ocosingo cheese production. Higher richness and diversity were observed in samples obtained in the rainy season, particularly from manufacturer A. In general, Chao1 and Inverse Simpson estimators decreased with steps in the cheese process, and following ripening. Despite this, an increase in both estimators was observed during manufacture from manufacturer A and B in the rainy season.

Diversity of Bacterial Species During Processing

Pyrosequencing revealed the bacterial community at species level present in dairy samples collected during Bola de Ocosingo cheese production in two seasons (dry and rainy) among three producers (Figure 1).
FIGURE 1

Relative abundance of species in dairy samples collected from Bola de Ocosingo cheese production. Cheese 50: cheese ripened during 50 days. Cheese 110: ripened during 110 days.

Relative abundance of species in dairy samples collected from Bola de Ocosingo cheese production. Cheese 50: cheese ripened during 50 days. Cheese 110: ripened during 110 days. Bacterial composition differed across samples type (P < 0.05) as main effect (Table 2), in which a reduction in the number of species was observed, some of them becoming predominant at final stages of processing. Also, the interaction between producer and season was statistically significant (P < 0.05), in which the predominance of certain species among samples analyzed between producers at the two seasons had an effect.
Table 2

PERMANOVA results of Bray-Curtis dissimilarities for main bacteria species found in Bola Cheese production process during two season from three producers.

TermsDegrees of freedomSum of squaresF- value by permutationR2P
Producer20.53552.19190.101970.077
Season10.22531.84430.04290.118
Sample31.46924.00930.279780.005
Producer x Season20.72532.96870.138110.04
Producer x Sample61.08781.48420.207140.187
Season x Sample30.47541.29740.090530.287
Residuals60.73290.13957
Total235.25141
PERMANOVA results of Bray-Curtis dissimilarities for main bacteria species found in Bola Cheese production process during two season from three producers. In raw milk, the dominant species included bacteria that naturally occur in milk, such as Streptococcus thermophilus, Lactobacillus delbrueckii and Lactococcus lactis (Table 3). Macrococcus caseolyticus was found in low abundance, with exception of the sample obtained from manufacturer C in the rainy season, accounting for 22% of reads. Also, environmental microorganisms were observed, including Acinetobacter junii, Bacillus licheniformis, Acidovorax sp. or Diaphorobacter sp., and Elizabethkingia meningoseptica. For some raw milk samples, there was sporadic occurrence of species known to cause mastitis (i.e., Enterobacter aerogenes or Routella planticola, Stenotrophomonas maltophilia, Citrobacter freundii, Staphylococcus epidermidis and L. garviae).
Table 3

Predominant species identified using BLAST from pooled sequences.

Species% of total readsAccession number of closest relativeIdentity (%)E value
Streptococcus thermophilus44.88NR 074827.1989E-136
Lactobacillus helveticus11.33NR 075047.1993E-151
Lactococcus lactis subsp. lactis8.69NR 103918.11009E-146
Lactobacillus plantarum5.13NR 075041.11009E-156
Enterobacter aerogenes/Raoultella planticola4.33NR 102493.1/NR 113701.11002E-141
Lactobacillus delbrueckii2.65NR 043183.11002E-153
Acinetobacter junii1.74NR 117623.11004E-139
Enterococcus durans/E. faecium1.56NR113257.1/NR 114742.11002E-152
Acidovorax ebreus1.45NR 074591.11005E-138
Bacillus licheniformis1.45NR 118996.11002E-146
Lactobacillus futsaii1.43NR 117973.1992E-153
Enterococcus italicus1.13NR 025625.11003E-150
Elizabethkingia meningoseptica1.06NR 115236.11004E-139
Macrococcus caseolyticus0.95NR 074941.11002E-147
Citrobacter freundii0.83NR 113596.11002E-142
E.coli/ Shigella flexneri0.76NR 114042.1/NR 026331.1998E-141
Lactococcus garvieae0.69NR 102968.11007E-147
Predominant species identified using BLAST from pooled sequences. In curd, L. lactis was in all samples (1.54 to 66.96 %), in combination with different LAB, such as S. thermophilus (0 to 85.24 %), L. delbrueckii (0 to 24.2 %), and/or L. helveticus (0 to 32.52 %). Curd sample from manufacturer A in dry season contained a high proportion of E. aerogenes or R. planticola (30.24 %) and C. freundii (30.6 %). During ripening of cheese, species abundances (e.g., S. thermophilus, L. helveticus, L. delbrueckii, L. lactis and L. plantarum) were different across manufacturers and seasons. For instance, S. thermophilus dominated in cheese at 50 days (44.02 to 80.48%) and 110 days (32.37 to 94.67 %) of ripening among all manufacturers in both seasons. However, in cheese at 50 days of ripening made by manufacturer B in the rainy season and in cheese at 110 days made by manufacturer A in the rainy season, there was low abundance of this bacteria (0.023 and 5.43, respectively). For the former, there were other bacteria such as L. lactis (37.05 %), L. plantarum (19.64 %) and L. brevis (9.61 %), and for the latter, L. plantarum (26.04 %), L. helveticus (30.88 %) and E. aerogenes or R. planticola (26.30 %).

Discussion

This study provides insight into the microbiota present during artisanal production of Bola de Ocosingo cheese from three manufacturers, in dry and rainy seasons. Differences depending of the producer between seasons were observed, in which mainly rainy season samples contained higher diversity. This suggests milk composition and environmental conditions, such as temperature and humidity, affect the types of bacteria introduced during Bola de Ocosingo cheese manufacture. Similar results have been observed during production of other types of cheeses in different seasons (Bonetta et al., 2008a,b; Hinz et al., 2012; Aldrete-Tapia et al., 2014). Environmental species were observed in raw milk, as well as other bacteria associated with mastitis in cows. A sample from manufacturer C contained high proportions of M. caseolyticus, a species in raw milk causing casein breakdown and contributing to formation of aroma precursors (Fuka et al., 2013). All of the species detected have been found in manufacture of other raw milk cheeses, such as Poro (Aldrete-Tapia et al., 2014), Danish (Masoud et al., 2011), Mozzarella (Ercolini et al., 2012), Fontina (Dolci et al., 2014) and Pico cheese (Riquelme et al., 2015), and usually disappear during subsequent processing. This reduction in bacterial diversity is attributed to selection of microorganisms during fermentation and manufacturing processes, attributed to changes in environmental conditions such as pH, moisture, oxygen, water activity, nutrients, and microbial growth inhibitors produced by bacteria or added -externally (Monnet et al., 2014). Yet, as Bola de Ocosingo cheese production includes several processing steps where other raw materials are added by hand, such as adding butter during curd ripening with hand-mixing, and raw milk-derived pasta filata used to cover the soft curd and making a round shape cheese. These manufacturing practices represent contamination opportunities, and could explain the presence of other bacteria (e.g., B. licheniformis, E. aerogenes, R. planticola, Acidovorax sp.) as observed in manufacturers A and B during the rainy season. Dominant species in Bola de Ocosingo cheese were LAB, including S. thermophilus, L. delbrueckii, L. helveticus and L. lactis. These bacteria are common natural starter cultures, or are inoculated during production of yogurt and Emmental, Gruyere, Parmigiano, Grana, Mozzarella and Cheddar cheese (Bouton et al., 2002; Randazzo et al., 2002; Hols et al., 2005; Delorme, 2008; Aldrete-Tapia et al., 2014). Their principal role is the reduction of pH during manufacture by production of lactic acid (Beresford et al., 2001). Additionally, LAB contribute to aroma and flavor of fermented products (Morales et al., 2003; Leroy and De Vuyst, 2004). Low proportions of S. thermophilus were detected in most raw milk samples. However, during Bola de Ocosingo cheese processing, S. thermophillus increased in abundance, while another LAB such as L. delbrueckii or L. helveticus also increased. This could be due to low molecular weight nitrogen compounds in milk (principally peptides and aminoacids), which are necessary for growth of S. thermophilus (Giraffa et al., 2001). Some S. thermophilus strains required commensal associations to fulfill nitrogen requirements, possibly provided by the metabolic activity of L. delbrueckii and L. helveticus (Courtin et al., 2002; Dandoy et al., 2011). In general, L. lactis was present in low levels, but reached higher numbers when S. thermophilus was not predominant, for example in curd sample of manufacturer B in rainy season. In this same production, after further processing the proportions of L. lactis reduced, overwhelmed by the increase of others bacteria species. This may suggest that L. lactis could not dominate during processing, providing an open entrance to other bacteria which could affect quality, even though L. lactis is known to rapidly acidify cheese during curd production, preventing proliferation of pathogenic and spoilage species (Wouters et al., 2002; Dandoy et al., 2011). Lactobacillus plantarum was detected in high proportion in some batches, principally during the aging process. This species is a member of the so-called Non-starter LAB (NSLAB) group; NSLAB introduce variability in the ripening process, improving sensory characteristics, but also producing defects (Beresford et al., 2001; Settanni and Moschetti, 2010). Probiotic effect has been reported for some strains of species detected in bola cheese such as L. helveticus (Giraffa, 2014) and potential probiotic properties of L. delbrueckii, S. themophilus (Mater et al., 2006; Guglielmotti et al., 2007), L. lactis (Beck et al., 2015) and L. plantarum (Blana et al., 2014). Interestingly, Escherichia coli an indicator of fecal contamination (or the pathogen Shigella flexneri) was detected in all samples, with the exception of those from manufacturers A and C during the rainy season. The abundance of this microorganism was very low in raw milk, and remained so until the end of ripening. However, detection of E. coli by traditional culture dependent methods was negative in all samples evaluated, which could indicate that cells were dead already, due to changes in physical and chemical parameters during cheese making caused by LAB and the potential antimicrobial compounds generated by their metabolism (Macori and Cotter, 2018). In fact, many LAB isolated from the production of Bola de Ocosingo cheese inhibited the growth of Salmonella Typhimurium and Listeria monocytogenes in plate wells assays (data not shown), which could possibly validate the production of antimicrobial metabolites, however, more studies should be carried out. This study provides an insight in microbial community dynamics during Bola de Ocosingo cheese production. S. thermophilus, L. lactis, L. helveticus, L. delbrueckii and L. plantarum dominated during the cheese processing, all reported with potential probiotic effect. Prevalence of these bacteria differed across manufacturers and seasons which could account to differences in final product quality. Pyrosequencing revealed the presence of E. coli/S. flexnerii in very low proportions even in the ripened cheese. However, detection by traditional methodology was negative. Therefore, to achieve homogeneous cheese quality would be desirable to develop a starter culture by selecting strains with technological characteristics and health benefits, which could be added to pasteurized milk to generate the traditional characteristics of Bola de Ocosingo cheese.

Author Contributions

AA-T acquired, analyzed,and discussed the data and wrote the manuscript. CE-R did the experimental design, sampled, funded, and revised the draft. MT did the experimental design, funded, analyzed the data, revised the draft, and did the English language editing. MH-I did the experimental design, received funding, revised draft, and wrote the manuscript.

Conflict of Interest Statement

The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.
  25 in total

1.  Biodiversity in Oscypek, a traditional Polish cheese, determined by culture-dependent and -independent approaches.

Authors:  Angel Alegría; Pawel Szczesny; Baltasar Mayo; Jacek Bardowski; Magdalena Kowalczyk
Journal:  Appl Environ Microbiol       Date:  2012-01-13       Impact factor: 4.792

Review 2.  Non-starter lactic acid bacteria used to improve cheese quality and provide health benefits.

Authors:  Luca Settanni; Giancarlo Moschetti
Journal:  Food Microbiol       Date:  2010-06-02       Impact factor: 5.516

3.  Characterization of the bacterial biodiversity in Pico cheese (an artisanal Azorean food).

Authors:  Cristina Riquelme; Sandra Câmara; Maria de Lurdes N Enes Dapkevicius; Pablo Vinuesa; Célia Costa Gomes da Silva; F Xavier Malcata; Oldemiro A Rego
Journal:  Int J Food Microbiol       Date:  2014-10-14       Impact factor: 5.277

Review 4.  Growth and adaptation of microorganisms on the cheese surface.

Authors:  Christophe Monnet; Sophie Landaud; Pascal Bonnarme; Dominique Swennen
Journal:  FEMS Microbiol Lett       Date:  2014-12-04       Impact factor: 2.742

5.  The effects of combined dietary probiotics Lactococcus lactis BFE920 and Lactobacillus plantarum FGL0001 on innate immunity and disease resistance in olive flounder (Paralichthys olivaceus).

Authors:  Bo Ram Beck; Daniel Kim; Jongsu Jeon; Sun-Min Lee; Hui Kwon Kim; Oi-Jin Kim; Jae Il Lee; Byung Sun Suh; Hyung Ki Do; Kwan Hee Lee; Wilhelm H Holzapfel; Jee Youn Hwang; Mun Gyeong Kwon; Seong Kyu Song
Journal:  Fish Shellfish Immunol       Date:  2014-11-07       Impact factor: 4.581

6.  Microbiological and biochemical characteristics of Canestrato Pugliese cheese made from raw milk, pasteurized milk or by heating the curd in hot whey.

Authors:  M Albenzio; M R Corbo; S U Rehman; P F Fox; M De Angelis; A Corsetti; A Sevi; M Gobbetti
Journal:  Int J Food Microbiol       Date:  2001-07-20       Impact factor: 5.277

Review 7.  New insights in the molecular biology and physiology of Streptococcus thermophilus revealed by comparative genomics.

Authors:  Pascal Hols; Frédéric Hancy; Laetitia Fontaine; Benoît Grossiord; Deborah Prozzi; Nathalie Leblond-Bourget; Bernard Decaris; Alexander Bolotin; Christine Delorme; S Dusko Ehrlich; Eric Guédon; Véronique Monnet; Pierre Renault; Michiel Kleerebezem
Journal:  FEMS Microbiol Rev       Date:  2005-08       Impact factor: 16.408

8.  High-throughput sequencing of microbial communities in Poro cheese, an artisanal Mexican cheese.

Authors:  Alejandro Aldrete-Tapia; Meyli C Escobar-Ramírez; Mark L Tamplin; Montserrat Hernández-Iturriaga
Journal:  Food Microbiol       Date:  2014-06-06       Impact factor: 5.516

9.  The fast milk acidifying phenotype of Streptococcus thermophilus can be acquired by natural transformation of the genomic island encoding the cell-envelope proteinase PrtS.

Authors:  Damien Dandoy; Christophe Fremaux; Marie Henry de Frahan; Philippe Horvath; Patrick Boyaval; Pascal Hols; Laetitia Fontaine
Journal:  Microb Cell Fact       Date:  2011-08-30       Impact factor: 5.328

10.  Dynamics of bacterial communities during the ripening process of different Croatian cheese types derived from raw ewe's milk cheeses.

Authors:  Mirna Mrkonjić Fuka; Stefanie Wallisch; Marion Engel; Gerhard Welzl; Jasmina Havranek; Michael Schloter
Journal:  PLoS One       Date:  2013-11-20       Impact factor: 3.240

View more
  4 in total

1.  Genomic Analyses of Weissella cibaria W25, a Potential Bacteriocin-Producing Strain Isolated from Pasture in Campos das Vertentes, Minas Gerais, Brazil.

Authors:  Camila Gonçalves Teixeira; Rafaela da Silva Rodrigues; Ricardo Seiti Yamatogi; Anca Lucau-Danila; Djamel Drider; Luís Augusto Nero; Antônio Fernandes de Carvalho
Journal:  Microorganisms       Date:  2022-01-28

2.  Metataxonomic Mapping of the Microbial Diversity of Irish and Eastern Mediterranean Cheeses.

Authors:  Eleni Kamilari; Dimitrios Tsaltas; Catherine Stanton; R Paul Ross
Journal:  Foods       Date:  2022-08-17

3.  Attenuated Lactococcus lactis and Surface Bacteria as Tools for Conditioning the Microbiota and Driving the Ripening of Semisoft Caciotta Cheese.

Authors:  Maria Calasso; Fabio Minervini; Francesca De Filippis; Danilo Ercolini; Maria De Angelis; Marco Gobbetti
Journal:  Appl Environ Microbiol       Date:  2020-02-18       Impact factor: 4.792

Review 4.  Microbial Interactions within the Cheese Ecosystem and Their Application to Improve Quality and Safety.

Authors:  Baltasar Mayo; Javier Rodríguez; Lucía Vázquez; Ana Belén Flórez
Journal:  Foods       Date:  2021-03-12
  4 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.