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Article

Analysis of the Genome Architecture of Lacticaseibacillus paracasei UNQLpc 10, a Strain with Oenological Potential as a Malolactic Starter

by
Nestor Gabriel Iglesias
1,
Marina Edith Navarro
2,
Natalia Soledad Brizuela
2,
Danay Valdés La Hens
2,
Liliana Carmen Semorile
2,
Emma Elizabeth Tymczyszyn
2,* and
Bárbara Mercedes Bravo Ferrada
2
1
Laboratorio de Virus Emergentes, Departamento de Ciencia y Tecnología, Instituto de Microbiología Básica y Aplicada, Universidad Nacional de Quilmes, Bernal B1876BXD, Argentina
2
Laboratorio de Microbiología Molecular, Departamento de Ciencia y Tecnología, Instituto de Microbiología Básica y Aplicada, Universidad Nacional de Quilmes, Bernal B1876BXD, Argentina
*
Author to whom correspondence should be addressed.
Fermentation 2022, 8(12), 726; https://doi.org/10.3390/fermentation8120726
Submission received: 25 October 2022 / Revised: 7 December 2022 / Accepted: 8 December 2022 / Published: 11 December 2022
(This article belongs to the Special Issue Recent Applications of Biotechnology in Wine and Beer Production)
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Abstract

:
The Lacticaseibacillus paracasei UNQLpc 10 strain was isolated from a Malbec wine produced in North Patagonia, Argentina, and identified by 16S rRNA gene sequencing. The aim of this work was to obtain the fully assembled genome of the UNQLpc 10 strain, analyze its structure, and evaluate the possible functions of the predicted genes with regard to its oenological potential as a malolactic starter. UNQLpc10 is the first whole assembled genome of an oenological strain of Lcb. paracasei reported in databases. This information is of great interest inexpanding the knowledge of diversity of oenological lactic acid bacteria and in searching for new candidate species/strains to design starter cultures. The in silico genome-wide analysis of UNQLpc 10 confirms the existence of genes encoding enzymes involved in the synthesis of several metabolites of oenological interest, and proteins related to stress responses. Furthermore, when UNQLpc 10 was incubated in synthetic wine, it exhibited a very good survival and L-malic acid consumption ability.

1. Introduction

Malolactic fermentation (MLF) is the process responsible for the conversion of L-malic acid to L-lactic acid and CO2, which reduces total acidity, improves biological stability and modifies the aroma profile of wine [1]. MLF takes place spontaneously during or after alcoholic fermentation (AF) and is carried out by one or more species of indigenous lactic acid bacteria (LAB) present in grapes and cellars [2,3,4,5]. The use of starter cultures of selected native LAB from each oenological region takes advantage of the natural adaptation of strains to the characteristics of wine, and maintains the regional terroir [1,6].
The LAB Lacticaseibacillus paracasei (formerly named Lactobacillus paracasei) [7] is a Gram-positive and facultative heterofermentative lactobacillus (non-spore-forming, rod-shaped, anaerobic bacterium). This bacterium is a member of the normal human and animal gut microbiota and is extensively used in the food industry as a starter culture of dairy products or as a probiotic. Strains of this species have also been isolated from a variety of fermented artisanal products such as fermented milk, cheese, sourdough bread, and fermented vegetables [8].
Although Lactiplantibacillus plantarum and Oenococcus oeni are the predominant species in MLF, the presence of Lcb. paracasei strains in wines from different geographical regions has been described by several authors [9,10,11]. Valdés La Hens et al. [9], for example, evaluated the LAB diversity in a Patagonian red Merlot wine in which MLF was spontaneous, and identified the species Lcb. paracasei.In addition, du Plessis et al. [10] reported the presence of Lcb. paracasei in South African brandy-base wines, and Kačániová et al. [11] identified Lcb. paracasei strains, among other LAB, in grape, must, and wine samples collected from vineyards in Slovakia. More recently, López-Seijas et al. reported Lcb. paracasei as one of the predominant strains during MLF in Alvariño wines from Spain [12].
Since 2008, our research group has been studying native LAB from Patagonian red wines, looking for suitable strains to develop malolactic starter cultures, well adapted to the local winemaking practices and able to improve the fermentation process and enhance the quality and safety of wine. The key selection criteria that should be considered when designing effective malolactic starters are stress resistance, technological performance, and safety [13].
The formulation of native malolactic starter cultures requires the characterization and propagation of strains proven to be suitable for this purpose, applying different selection criteria at each stage and considering the possible positive innovative impacts of these microbial resources on the quality and sensory and functional properties of the wine.
In previous studies, we isolated several strains from Patagonian wines produced at a commercial winery located in General Roca, Río Negro, Argentine Patagonia [9,14,15,16,17]. Patagonia is the southernmost wine-producing region of Argentina and one of the most southern regions in the world. This region has optimal agroecological conditions for high-quality viticulture and a long winemaking tradition.
In previous work, the UNQLpc 10 strain was isolated from a Patagonian Malbec wine, vintage 2016, in which the AF was conducted by a native F8 strain of Saccharomyces cerevisiae and a blend culture of selected Patagonian native strains of Lpb. plantarum and O. oeni was inoculated to guide MLF [18]. Interestingly, UNQLpc10 (from native microbiota) was one of the predominant strains during MLF together with the Lpb. plantarum and O. oeni strains, added as malolactic starters. UNQLpc10 was then identified as Lcb. paracasei.
To ensure accurate taxonomic assignment of LAB strains while also providing genetic data concerning possible metabolic activities, complete genome sequence can be obtained. In the case of starter cultures, this technique can provide information regarding positive traits beneficial for their technological application as well as negative ones that would disqualify them from application in food production. In recent years, numerous complete genomes have become more accessible, and several works have used this technique for the analysis of oenological LAB strains. For winemaking purposes, it is relevant to search genes that are involved in wine fermentation and flavor, such as those coding for resistance to stress conditions, synthesis, or production of odorant compounds, and production of biogenic amines (which are undesirable because they affect wine quality and acceptability) [19,20,21,22].
The aim of this work was to obtain the fully assembled genome of the UNQLpc 10 strain, analyze its structure, and evaluate the possible functions of the predicted genes with regard to its oenological properties and its ability to conduct the MLF. A core genome phylogeny was also used to determine the evolutionary distance between UNQLpc 10 and other 12 Lcb. paracasei strains from different fermented foods and beverages. In addition, cell survival and malic acid consumption (MAC) of the UNQLpc 10 strain were evaluated in conditions similar to those of the cellar.

2. Materials and Methods

2.1. Strain Information

The Lcb. paracasei UNQLpc 10 strain was recovered from implantation control assays in a Patagonian Malbec wine vintage 2016, in which the AF was conducted by a native F8 strain of Saccharomyces cerevisiae and the MLF was guided by a blend culture of selected Patagonian native strains of Lpb. plantarum and O. oeni [18]. UNQLpc10 was identified by sequence analysis of the 16S rRNA gene, following Delfederico et al. [23].

2.2. Bacterial Growth and DNA Extraction

UNQLpc 10 was grown in MRS broth (Biokar Diagnostics, Beauvais, France), at 28 °C, pH 6.5, in aerobic conditions, for two days. To obtain DNA, 1 mg/mL of lysozyme with 1% sodium dodecyl sulfate was used. Proteins were removed with 0.1 g/mL of proteinase K, followed by phenol-chloroform-isoamyl alcohol (25:24:1) extraction [22]. Then, 16 µg of high-quality genomic DNA was used for library preparation and sequencing.

2.3. Genome Sequencing, Assembly, and Bioinformatics Analysis

A whole-genome shotgun library was constructed using a 20-kb SMRTbell version 1.0 template prep kit, followed by single-molecule real-time (SMRT) sequencing, conducted on an RS II (Pacific Biosciences) sequencer (Macrogen). A total of 967,156,791 base reads (31,688-fold coverage and a polymerase read N50 size of 20,860 bp), with an average length of 14,257 bp and an estimated accuracy of 85.6%, was used as input for the de novo assembly with the Canu package [24]. The Canu output consisted of a single circular contig without gaps. Coding sequences were predicted with Gene MarkS-2. Replication and terminus origins were identified using GC-skew analysis and ORF orientation shift. Genome annotation was done using the NCBI Prokaryotic Genome Annotation Pipeline. Protein function was predicted using Blast2GO 5.1.1 [25]. For exclusive presence/absence of genes in specific strains, a Bacterial Pan Genome Analysis Pipeline (BPGA) was used [25]. BPGA determines the core (conserved), accessory (dispensable), and unique (strain-specific) gene pool of a species. Finally, the database of Clusters of Orthologous Groups of proteins (COGs) was analyzed using WebMGA (BMC Genomics 2011, 12:444) [26].

2.4. Cell Survival and L-Malic Acid Consumption in Synthetic Wine

2.4.1. Cell Culture and Acclimation

The UNQLpc 10 strain was grown in MRS broth (Biokar Diagnostics, Beauvais, France) [27]. Bacterial cells at early stationary phase (approximately 109 CFU/mL) were collected by centrifugation (10 min, at 5000× g) and suspended in the same volume of an acclimation medium (50 g/L MRS, 40 g/L D(-) fructose, 20 g/L D(-) glucose, 4 g/L L-malate, 1 g/L Tween 80, and 0.1 mg/L pyridoxine, adjusted to pH 4.6) supplemented with 6% v/v ethanol [28]. Cultures were incubated at 21 °C for 48 h and cells were harvested by centrifugation and then inoculated in a synthetic wine.

2.4.2. Vinification Assays at Laboratory Scale

Acclimated and non-acclimated cells were inoculated (1 × 108 CFU/mL) in a synthetic wine (5 g/L tartaric acid, 2.0 g/L L-malic acid, 0.6 g/L acetic acid, 2 g/L glucose, 2 g/L fructose, and 10 or 14.0% v/v ethanol), and incubated at 21 °C for 15 days. For each ethanol concentration, the pH values were adjusted to 3.6, using concentrated HCl (6 M). Viable cells were determined by plating on MRS agar and then sampling on days 0, 2, 4, 7, and 15. The remaining L-malic acid was measured with an L-malic acid enzymatic kit (L-Malic Acid Enology enzymatic kit, BioSystems SA, Barcelona, Spain). The percentage of L-malic acid consumed (MAC) on day 15 was calculated by Equation (1):
MAC% = (100 − ([MAf] 100/[MA0])
where [MA0] is the initial concentration of malic acid in the wine used and [MAf] is the final concentration of malic acid measured in the wine.
At the same time, an exponential one-phase equation model was used to fit the performed MAC kinetics during fermentation in synthetic wine. Equation (2) for this model was obtained by the GraphPad Prism® software(GraphPad SoftwareInc, San Diego, CA, USA):
MACt = (MACi− MACf) e-Kt+ MACf
where MACt is the malic acid consumed at time = t in %, MACf is the malic acid consumed of plateau equation and K is the kinetics rate constant.

2.5. Reproducibility of Results

All determinations were the average of two independent replicate assays. Data are shown as mean values. The statistical analyses were carried out using GraphPad Prism 5 software (GraphPad Software Inc., San Diego, CA, USA, 2007). Means were compared by one-way ANOVA, and if p< 0.05, the difference was considered statistically significant.

3. Results

3.1. General Features of the Genome

Results showed that the complete genome of UNQLpc 10 (GenBank Accession code CP029686.1) consists of a single, circular chromosome (Figure 1), and no plasmid structures. Its main features obtained by in silico analysis are shown in Supplementary Materials Table S1. Results showed that both origins are located in almost symmetrical chromosome positions. The genes encoded by the UNQLpc 10 genome are predominantly transcribed in the direction of replication, which is a feature observed in many Gram-positive genomes with low G+C content [29].
The results also showed that the UNQLpc 10 genome contains 91.0% of protein-encoding genes of the COG class involved in major metabolic pathways. These genes could be assigned to 25 functional categories. The remaining genes were cataloged as unknown functional proteins. COG data analysis showed that these genes belong mainly to the following categories: transcription, replication, recombination and repair, cell wall/membrane/envelope biogenesis, and amino acid transport and metabolism. The relative abundance of genes associated with general COG functional categories found in the UNQLpc 10 strain is shown in Figure 2.
As mentioned, to know the evolutionary distance between UNQLpc 10 and other 12 Lcb. paracasei strains from different fermented foods and beverages, we used a core genome phylogeny. Core genome phylogenies are widely used to build the evolutionary history of individual prokaryotic species [30].In the present study, the phylogeny produced from UNQLpc 10 and Lcb. paracasei strains isolated from different fermented foods showed that there is an evolutionary distance between a basal clade formed by ACUH35 (Koumis isolation) and the other 12 strains of Lcb. paracasei (Figure 3). However, it is evident that the information contained in the genomes of the strains of the Lcb. paracasei species of fermented food origin cannot determine any other relationship between them.
Finally, comparison of the protein-coding genes of UNQLpc 10 with those of the other 12 strains of Lcb. paracasei from different fermented foods, using the BPGA software, showed that the genome of UNQLpc 10 contains 89 unique genes. A COG analysis of those unique genes is shown in Figure S1 of the Supplementary Materials.

3.2. Genes Encoding Enzymes Related to the Winemaking Process

Table 1 shows the results of the in silico analysis of the UNQLpc 10 genome looking for genes coding enzymes related to the winemaking process. This analysis showed the presence of numerous genes related to carbohydrate transport and metabolism, including 28 phosphoenol–pyruvate sugar transferase systems (PTS) and four sugar-ABC transporters. Among the PTS systems, six families of PTS permeases were identified, namely PTS glucose–glucoside (Glc), PTS fructosemannitol (Fru), PTS lactose/cellobiose (Cel-Lac), PTS glucitol (Gut), PTS galactitol (Gat), and PTS mannose–fructose–sorbose (Man). Concerning the metabolic pathways related to carbohydrate metabolism, genes corresponding to whole phosphoketolase (PK) and glycolysis pathways were found. Furthermore, the UNQLpc 10 genome showed the presence of three transduction sites (locus tags = DMC16_04445, DMC16_09520, and DMC16_09845) for the L-lactate dehydrogenase protein, supporting the relevance of the pyruvate-dissipating ability in this strain.
Two clusters of genes involved in L-malate metabolism were also identified. These clusters consist of three genes encoding a malolactic enzyme (mleS) (locus tags = AWR90332.1 and AWR91068.1) and an L-malate transporter (mleT) (locus tags = AWR90331.1 and AWR91067.1), and, oriented in the opposite direction, a LysR-type transcriptional regulator (mleR) (locus tag = AWR90333.1) or hypothetical protein (locus tag = AWR91069.1)(Figure 4). The last cluster is similar to those found in several O. oeni strains (Figure S2 Supplementary Material).
Results also showed the presence of several genes encoding enzymes involved in the development of fruit flavor in red wines, including aminopeptidases, glutamate dehydrogenase, and phosphotransacylase [35] (Table 1), and three genes encoding β-glucosidase enzymes (locus tags = AWR90012.1, AWR91732.1, and AWR92112.1), and a typical citrate lyase gene cluster (citC, citD, citF, citX, citG) (locus tags = DMC16_13395, DMC16_13400, DMC16_13410, DMC16_13415, and DMC16_13435).

3.3. Genes Encoding Proteins Related to Stress Responses

Bacteria protect themselves from changes in environmental osmolarity by using stretch-activated (or mechano-sensitive) channels that regulate a large set of developmental and physiological processes and stress responses within cells [22,36].The UNQLpc 10 strain showed the presence of genes encoding two channel protein families (the voltage-gated ion channel (locus tag = DMC16_03540) and the large conductance mechano-sensitive channel (locus tag = DMC16_07815)), as well as some aquaporins (locus tags = DMC16_03555, DMC16_04280, and DMC16_04830) of the membrane intrinsic protein(MIP) family, which may function primarily to protect the bacteria against osmotic stress [37]. Other genes involved in stress-tolerance mechanisms, including clpX (locus tag = DMC16_00815) and trxA (locus tag = DMC16_03605), were also identified. In addition, class I heat-shock genes (groES, groEL, and dnaK/dnaJ operons) (locus tags = DMC16_11375, DMC16_11380, DMC16_15210, and DMC16_15220), trxA and trxB homologs (involved in the disulphide-reducing pathway) (locus tags = DMC16_03605 and DMC16_02820), and HrcA and CtsR (genes codifying proteins involved in the ethyl stress response) (locus tags = DMC16_15200 and DMC16_09980) were also identified.

3.4. Genes Encoding Proteins That Deteriorate Wine

Our analysis also verified that the UNQLpc 10 genome does not contain genes encoding the enzymes histidine decarboxylase, putrescine carbamoyl transferase, or tyrosine decarboxylase, which are responsible for the synthesis of the main biogenic amines in wines (histamine, tyrosine, and putrescine).

3.5. Cell Viability and L-Malic Acid Consumption

After the analysis and characterization of the genome structure of UNQLpc 10, it was interesting to confirm that this strain is able to survive and consume L-malic acid under hostile winemaking conditions (low pH and high content of ethanol). The performance of the UNQLpc 10 strain, with or without acclimation, was analyzed in synthetic wine. The number of viable cells and the MAC kinetics are shown in Figure 5.
When UNQLpc 10 was incubated in synthetic wine with 10% v/v ethanol, the culture was able to maintain the number of viable cells at higher than 95% during 15 days of fermentation with an MAC, and no significant differences were found in the performance of the previously acclimated or non-acclimated strains.
In contrast, when UNQLpc 10 was incubated in synthetic wine with 14% v/v ethanol, cells were not able to survive during fermentation, with a decrease of ~3–4 log CFU/mL. However, cells were able to consume malic acid in high percentage, being significantly higher when the culture was previously acclimated (97.12%) than when it was not previously acclimated (84.10%) (Table 2).

4. Discussion

Lactobacillus paracasei belongs to the L. casei group and is found in diverse niches [38] including food (raw or fermented), plants [39], birds [40], and the gut of mammals [41], including human gut of healthy adults and of breast-fed infants [42,43]. The advance in molecular techniques and their application in winemaking has allowed for the identification of this species as part of the wine microbiota [2].
Previous studies in our laboratory have shown that LAB isolates of Lpb. plantarum and O. oeni are able to carry out MLF in synthetic and Patagonian wines. In this study, we analyzed a LAB of the species Lcb. paracasei, not typically used as malolactic starter in winemaking.
In addition, we analyzed its genome architecture. The description of the genes present in it allowed us to know their possible functions in the strain, characterize, in depth, the technological and oenological potential of the strain, and provide information on possible interactions in the fermentation ecosystem.
The COG database, which has been devised as a way to allow phylogenetic classification of proteins from complete microbial genomes [44], was used as a tool to classify proteins from the complete UNQLpc 10 genome by COG functional categories. Two functional categories of uncharacterized proteins, R (genes with only a generic functional prediction, typically of the biochemical activity) and S (uncharacterized genes) (22.0% of the genes), are particularly useful, as they reflect the current level of understanding of protein function at the proteome level [45].
Comparative genomics of different Lcb. paracasei strains (using complete sequence genomes of strains from fermented foods) revealed high genomic diversity and no relationship between them could be established. It is currently accepted that properties of potential technological significance are strain-dependent, and the genomic bases have not yet been elucidated [22,46,47].
Likewise, in this work, relevant genes involved in vinification were searched for. Wine contains many monosaccharides and disaccharides, with glucose, fructose, and arabinose being the main sugars metabolized by this LAB species [48]. Numerous genes related to carbohydrate transport and metabolism were found in the UNQLpc 10 genome, which is of relevance to the persistence of the bacterium in the harsh wine environment.
Our results showed the presence of genes of relevance to the cellular stress response. These included clusters related to the MIP family associated with osmotic stress, as well as genes coding for proteins involved in the ethanol stress response, and the clpX and trxA genes, which play a major role in the degradation of misfolded proteins accumulated following exposure to stress conditions. These genes are important since they are related to the survival of LAB in a hostile environment such as wine.
Additionally, we found that the UNQLpc 10 genome contains genes coding for enzymes that could have positive effects on aromatic and sensorial characteristics of the vinification process. The metabolism of L-malic acid by LAB has led to considerable interest [2], since the degradation of L-malate leads to a reduction in the acidity of wine and provides microbiological stability by preventing the secondary growth of LAB after bottling. Most LAB decarboxylate L-malate to L-lactate by a NAD+- and Mn2+-dependent malolactic enzyme [49]. This is the first work that describes two gene clusters involved in the metabolism of L-malate in a Lcb. paracasei strain. This type of cluster is closely related to the species Lcb. rhamnosus [49]. A comparison with O. oeni strains showed that one of the clusters of UNQLpc 10 is similar to the clusters found in O. oeni (Figure S2). The additional cluster for L-malate metabolism in UNQLpc 10 could be an advantage under harsh wine conditions, and, as we can see during fermentation in synthetic wine (Figure 5), a higher MAC value was observed regardless of survival or acclimation.
Our analysis also showed other genes of relevance in vinification, such as genes encoding β-glucosidase, an enzyme that catalyzes the release of different aroma compounds by glycosidic bond cleavage, transforming terpenes, alcohols, fatty acids, etc. from bound to free forms [50]. In addition, we found several clusters related to the enzyme citrate lyase, which cleaves this bond into oxalacetate and acetate. Oxaloacetate is then decarboxylated to pyruvic acid and diacetyl, the latter of which is formed as an intermediate metabolite in the reductive decarboxylation of pyruvic acid to 2,3-butanediol, and is important from an organoleptic point of view because it gives buttery notes to wine [51]. Several of these genes have also been reported in the complete genome analysis of other oenological strains [20,21,22].
No genes synthesizing biogenic amines were found in the complete genome of UNQLpc 10. This is an important result because the synthesis of biogenic amines by LAB during winemaking processes should be avoided, because these compounds affect wine quality and acceptability [2,52].
The performance of the Lcb. paracasei UNQLpc 10 strain was technologically analyzed in synthetic wine, which was inoculated with cultures previously acclimated or non-acclimated. The effect of the pre-acclimation treatment on ethanol tolerance of MLF starter cultures is widely reported [53,54,55]. In addition, in previous works, we reported the positive effect of acclimation of Patagonian Lpb. plantarum and O. oeni strains exposed to wine conditions [14,15]. In these works, we showed that the pre-exposure of cells to sub-lethal stress conditions has a positive effect on cell survival in wine, improving culture performance. Similarly, Costantini et al. [56] reported that ethanol acclimation leads to a significantly increased expression of genes related to MLF and stress response, showing that the acclimation with ethanol induces surface modifications such as exopolysaccharide-layer production and structural changes such as membrane-composition modification. However, our results showed that acclimation did not change the survival of Lcb. paracasei cells in synthetic wine fermentations, but was relevant to improving MAC under high ethanol concentration (Figure 5 and Table 2). This shows that UNQLpc 10 could be more tolerant to acid and ethanol stress than the Lpb. plantarum and O. oeni strains previously reported by our group [15,28]. However, more studies are necessary to corroborate its activities in vinification at pilot and industrial scale.

5. Conclusions

This is the first work describing the characteristics of the complete genome of a strain of Lcb. paracasei of oenological origin. The analysis of the complete genome revealed the presence of genes responsible for malic acid consumption and for the adaptation of the bacterium to different stress environments related to the wine-fermentation process. Genome analysis also revealed the absence of genes coding for biogenic amines (compounds that affect wine quality and acceptability) and the presence of genes responsible for the synthesis of aromas in wine. Vinification at laboratory-scale showed that UNQLpc 10 is able to survive and consume L-malic acid under high ethanol content, making it an excellent candidate as a malolactic starter culture. Finally, UNQLpc 10 has genes that are of oenological interest and more investigation must be carried out to evaluate the potential of the strain in winemaking.

Supplementary Materials

The following supporting information can be downloaded at: https://www.mdpi.com/article/10.3390/fermentation8120726/s1, Figure S1: Analysis of the COG database performed on the 89 unique genes found in the Lcb. paracasei UNQLpc 10 genome; Figure S2: Schematic representation of the mle gene clusters in Lcb. paracasei UNQLpc 10 and O. oeni strains from different origin; Table S1: Characteristics of the Lpc. UNQLpc10 genome.

Author Contributions

Formal analysis, N.G.I. and B.M.B.F.; investigation, M.E.N., N.S.B., B.M.B.F., D.V.L.H., and E.E.T.; methodology, N.G.I., M.E.N., N.S.B., and B.M.B.F.; project administration, L.C.S. and E.E.T.; writing—original draft, B.M.B.F.; writing—review and editing, N.S.B., E.E.T., D.V.L.H., L.C.S., and B.M.B.F. All authors have read and agreed to the published version of the manuscript.

Funding

This research was funded by grants from Universidad Nacional de Quilmes (Buenos Aires, Argentina), Agencia Nacional de Promoción Científica y Técnica (ANPCyT; PICT 2019 N°0008, PICT 2020 N°3372, PICT 2021 Apli CatI 0013), and the Consejo Nacional de Investigaciones Científicas y Técnicas (CONICET) (PIP-2017–11220170100898C O), Argentina.

Institutional Review Board Statement

Not applicable.

Informed Consent Statement

Not applicable.

Data Availability Statement

Not applicable.

Acknowledgments

L.S. and V.L.H.D. are members of the Research Career of the Comisión de Investigaciones Científicas de Buenos Aires, Argentina (CIC-PBA);N.G.I., B.M.B.F., and E.T. are members of the Research Career of the Consejo Nacional de Investigaciones Científicas y Técnicas (CONICET), B.N.S. is a fellow of CONICET, and M.E.N. is a fellow of CIC-PBA.

Conflicts of Interest

The authors do not present any conflict of interest.

References

  1. Sumby, K.M.; Bartle, L.; Grbin, P.R.; Jiranek, V. Measures to improve wine malolactic fermentation. Appl. Microbiol. Biotechnol. 2015, 103, 2033–2051. [Google Scholar] [CrossRef] [PubMed]
  2. Bartowsky, E.J.; Costello, P.J.; Chambers, P.J. Emerging trends in the application of malolactic fermentation. Aust. J. Grape Wine Res. 2015, 21, 663–669. [Google Scholar] [CrossRef]
  3. Franquès, J.; Araque, I.; Palahí, E.; del Carmen Portillo, M.; Reguant, C.; Bordons, A. Presence of Oenococcus oeni and other lactic acid bacteria in grapes and wines from Priorat (Catalonia, Spain). LWT 2017, 81, 326–334. [Google Scholar] [CrossRef]
  4. Cappello, M.S.; Zapparoli, G.; Logrieco, A.; Bartowsky, E.J. Linking wine lactic acid bacteria diversity with wine aroma and flavour. Int. J. Food Microbiol. 2017, 243, 16–27. [Google Scholar] [CrossRef]
  5. Lorentzen, M.P.; Lucas, P.M. Distribution of Oenococcus oeni populations in natural habitats. Appl. Microbiol. Biotechnol. 2019, 103, 2937–2945. [Google Scholar] [CrossRef] [Green Version]
  6. Lerm, E.; Engelbrecht, L.; Du Toit, M. Selection and characterisation of Oenococcus oeni and Lactobacillus plantarum South African wine isolates for use as malolactic fermentation starter cultures. S. Afr. J. Enol. Vitic. 2011, 32, 280–295. [Google Scholar] [CrossRef] [Green Version]
  7. Zheng, J.; Wittouck, S.; Salvetti, E.; Franz, C.M.A.P.; Harris, H.M.B.; Mattarelli, P.; O’Toole, P.W.; Pot, B.; Vandamme, P.; Walter, J.; et al. A taxonomic note on the genus Lactobacillus: Description of 23 novel genera, emended description of the genus Lactobacillus Beijerinck 1901, and union of Lactobacillaceae and Leuconostocaceae. Int. J. Syst. Evol. Microbiol. 2020, 70, 2782–2858. [Google Scholar] [CrossRef]
  8. Chiang, S.S.; Pan, T.M. Beneficial effects of Lactobacillus paracasei subsp. paracasei NTU 101 and its fermented products. Appl. Microbiol. Biotechnol. 2011, 93, 903–916. [Google Scholar] [CrossRef] [Green Version]
  9. Valdés La Hens, D.; Bravo-Ferrada, B.M.; Delfederico, L.; Caballero, A.C.; Semorile, L.C. Prevalence of Lactobacillus plantarum and Oenococcus oeni during spontaneous malolactic fermentation in Patagonian red wines revealed by polymerase chain reaction-denaturing gradient gel electrophoresis with two targeted gene. Aust. J. Grape Wine Res. 2015, 21, 49–56. [Google Scholar] [CrossRef]
  10. du Plessis, H.W.; Dicks, L.M.T.; Pretorius, I.S.; Lambrechts, M.G.; Du Toit, M. Identification of lactic acid bacteria isolated from South African brandy base wines. Int. J. Food Microbiol. 2004, 91, 19–29. [Google Scholar] [CrossRef]
  11. Kačániová, M.; Kunová, S.; Sabo, J.; Ivanišová, E.; Žiarovská, J.; Felšöciová, S.; Fatrcová-Šramková, K.; Terentjeva, M. Isolation and Identification of Lactic Acid Bacteria in Wine Production by MALDI-TOF MS Biotyper. Acta Hortic. Regiotect. 2020, 23, 21–24. [Google Scholar] [CrossRef]
  12. López-Seijas, J.; García-Fraga, B.; da Silva, A.F.; Zas-García, X.; Lois, L.C.; Gago-Martínez, A.; Sieiro, C. Evaluation of malolactic bacteria associated with wines from Albariño variety as potential Starters: Screening for quality and safety. Foods 2020, 9, 99. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  13. Brizuela, N.; Tymczyszyn, E.E.; Semorile, L.C.; Valdes La Hens, D.; Delfederico, L.; Hollmann, A.; Bravo-Ferrada, B. Lactobacillus plantarum as a malolactic starter culture in winemaking: A new (old) player? Electron. J. Biotechnol. 2019, 38, 10–18. [Google Scholar] [CrossRef]
  14. Bravo-Ferrada, B.M.; Hollmann, A.; Delfederico, L.; Valdés La Hens, D.; Caballero, A.; Semorile, L. Patagonian red wines: Selection of Lactobacillus plantarum isolates as potential starter cultures for malolactic fermentation. World J. Microbiol. Biotechnol. 2013, 29, 1537–1549. [Google Scholar] [CrossRef]
  15. Bravo-Ferrada, B.M.; Hollmann, A.; Brizuela, N.S.; La Hens, D.V.; Tymczyszyn, E.E.; Semorile, L. Growth and consumption of l-malic acid in wine-like medium by acclimated and non-acclimated cultures of Patagonian Oenococcus oeni strains. Folia Microbiol. 2016, 61, 365–373. [Google Scholar] [CrossRef] [PubMed]
  16. Brizuela, N.S.; Bravo-Ferrada, B.M.; La Hens, D.V.; Hollmann, A.; Delfederico, L.; Caballero, A.; Tymczyszyn, E.E.; Semorile, L. Comparative vinification assays with selected Patagonian strains of Oenococcus oeni and Lactobacillus plantarum. LWT 2017, 77, 348–355. [Google Scholar] [CrossRef] [Green Version]
  17. Manera, C.; Olguin, N.T.; Bravo-Ferrada, B.M.; Tymczyszyn, E.E.; Delfederico, L.; Bibiloni, H.; Caballero, A.C.; Semorile, L.; La Hens, D.V. Survival and implantation of indigenous psychrotrophic Oenococcus oeni strains during malolactic fermentation in a Patagonian Pinot noir wine. LWT 2019, 108, 353–360. [Google Scholar] [CrossRef]
  18. Brizuela, N.S.; Bravo-Ferrada, B.M.; Curilén, Y.; Delfederico, L.; Caballero, A.; Semorile, L.; Tymczyszyn, E.E. Advantages of using blend cultures of native L. plantarum and O. oeni strains to induce malolactic fermentation of Patagonian Malbec wine. Front. Microbiol. 2018, 9, 2109. [Google Scholar] [CrossRef] [Green Version]
  19. Mendoza, S.N.; Canon, P.M.; Contreras, A.; Ribbeck, M.; Agosin, E. Genome-scale reconstruction of the metabolic network in Oenococcus oeni to assess wine malolactic fermentation. Front. Microbiol. 2017, 8, 534. [Google Scholar] [CrossRef] [Green Version]
  20. Campbell-Sills, H.; El Khoury, M.; Favier, M.; Romano, A.; Biasioli, F.; Spano, G.; Sherman, D.J.; Bouchez, O.; Coton, E.; Coton, M.; et al. Phylogenomic Analysis of Oenococcus oeni Reveals Specific Domestication of Strains to Cider and Wines. Genome Biol. Evol. 2015, 7, 1506–1518. [Google Scholar] [CrossRef]
  21. Romero, J.; Ilabaca, C.; Ruiz, M.; Jara, C. Oenococcus oeni in Chilean Red Wines: Technological and Genomic Characterization. Front. Microbiol. 2018, 9, 90. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  22. Iglesias, N.G.; Brizuela, N.S.; Tymczyszyn, E.E.; Hollmann, A.; Valdés La Hens, D.; Semorile, L.; Bravo-Ferrada, B.M. Complete Genome Sequencing of Lactobacillus plantarum UNQLp 11 Isolated from a Patagonian Pinot Noir Wine. S. Afr. J. Enol. Vitic. 2020, 41, 197–209. [Google Scholar] [CrossRef]
  23. Delfederico, L.; Hollmann, A.; Martínez, M.; Iglesias, N.G.; De Antoni, G.; Semorile, L. Molecular identification and typing of lactobacilli isolated from kefir grains. J. Dairy Res. 2006, 73, 20. [Google Scholar] [CrossRef] [PubMed]
  24. Koren, S.; Walenz, B.P.; Berlin, K.; Miller, J.R.; Bergman, N.H.; Phillippy, A.M. Canu: Scalable and accurate long-read assembly via adaptive k-mer weighting and repeat separation. Genome Res. 2017, 27, 722–736. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  25. Siezen, R.J.; van Hylckama Vlieg, J.E.T. Genomic diversity and versatility of Lactobacillus plantarum, a natural metabolic engineer. Microb. Cell Fact. 2011, 10, S3. [Google Scholar] [CrossRef] [Green Version]
  26. Altermann, E.; Russell, W.M.; Azcarate-Peril, M.A.; Barrangou, R.; Buck, B.L.; McAuliffe, O.; Souther, N.; Dobson, A.; Duong, T.; Callanan, M.; et al. Complete genome sequence of the probiotic lactic acid bacterium Lactobacillus acidophilus NCFM. Proc. Natl. Acad. Sci. USA 2005, 102, 3906–3912. [Google Scholar] [CrossRef] [Green Version]
  27. De Man, J.C.; Rogosa, M.; Sharpe, M.E. A Medium for the Cultivation of Lactobacilli. J. Appl. Bacteriol. 1960, 23, 130–135. [Google Scholar] [CrossRef]
  28. Bravo-Ferrada, B.M.; Tymczyszyn, E.E.; Gómez-Zavaglia, A.; Semorile, L. Effect of acclimation medium on cell viability, membrane integrity and ability to consume malic acid in synthetic wine by oenological Lactobacillus plantarum strains. J. Appl. Microbiol. 2014, 116, 360–367. [Google Scholar] [CrossRef]
  29. Kleerebezem, M.; Boekhorst, J.; Van Kranenburg, R.; Molenaar, D.; Kuipers, O.P.; Leer, R.; Tarchini, R.; Peters, S.A.; Sandbrink, H.M.; Fiers, M.W.E.J.; et al. Complete genome sequence of Lactobacillus plantarum WCFS1. Proc. Natl. Acad. Sci. USA 2003, 100, 1990–1995. [Google Scholar] [CrossRef] [Green Version]
  30. Stott, C.M.; Bobay, L.M. Impact of homologous recombination on core genome phylogenies. BMC Genom. 2020, 21, 829. [Google Scholar] [CrossRef]
  31. Zhu, Z.; Yang, J.; Yang, P.; Wu, Z.; Zhang, J.; Du, G. Enhanced acid-stress tolerance in Lactococcus lactis NZ9000 by overexpression of ABC transporters. Microb. Cell Factories 2019, 18, 1–14. [Google Scholar] [CrossRef] [PubMed]
  32. Liu, M.; Nauta, A.; Francke, C.; Siezen, R.J. Comparative genomics of enzymes in flavor-forming pathways from amino acids in lactic acid bacteria. Appl. Environ. Microbiol. 2008, 74, 4590–4600. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  33. Chambellon, E.; Rijnen, L.; Lorquet, F.; Gitton, C.; Van Hylckama Vlieg, J.E.; Wouters, J.A.; Yvon, M. The D-2-hydroxyacid dehydrogenase incorrectly annotated PanE is the sole reduction system for branched-chain 2-keto acids in Lactococcus lactis. J. Bacteriol. 2009, 191, 873–881. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  34. Grimaldi, A.; Bartowsky, E.; Jiranek, V. Screening of Lactobacillus spp. and Pediococcus spp. for glycosidase activities that are important in oenology. J. Appl. Microbiol. 2005, 99, 1061–1069. [Google Scholar] [CrossRef] [PubMed]
  35. Styger, G.; Prior, B.; Bauer, F.F. Wine flavor and aroma. J. Ind. Microbiol. Biotechnol. 2011, 38, 1145. [Google Scholar] [CrossRef] [PubMed]
  36. Fang, X.Z.; Zhou, T.; Xu, J.Q.; Wang, Y.X.; Sun, M.M.; He, Y.J.; Pan, S.W.; Xiong, W.; Peng, Z.K.; Gao, X.H.; et al. Structure, kinetic properties and biological function of mechanosensitive Piezo channels. Cell Biosci. 2021, 11, 13. [Google Scholar] [CrossRef] [PubMed]
  37. Biggin, P.C.; Sansom, M.S.P. Mechanosensitive Channels: Stress Relief. Curr. Biol. 2003, 13, R183–R185. [Google Scholar] [CrossRef] [Green Version]
  38. Stefanovic, E.; McAuliffe, O. Comparative genomic and metabolic analysis of three Lactobacillus paracasei cheese isolates reveals considerable genomic differences in strains from the same niche. BMC Genom. 2018, 19, 205. [Google Scholar] [CrossRef]
  39. Todorov, S.D.; Dicks, L.M.T. Screening for bacteriocin-producing lactic acid bacteria from boza, a traditional cereal beverage from Bulgaria: Comparison of the bacteriocins. Process Biochem. 2006, 41, 11–19. [Google Scholar] [CrossRef]
  40. Dec, M.; Puchalski, A.; Urban-Chmiel, R.; Wernicki, A. 16S-ARDRA and MALDI-TOF mass spectrometry as tools for identification of Lactobacillus bacteria isolated from poultry. BMC Microbiol. 2016, 16, 105. [Google Scholar] [CrossRef]
  41. Martin, F.P.J.; Sprenger, N.; Montoliu, I.; Rezzi, S.; Kochhar, S.; Nicholson, J.K. Dietary modulation of gut functional ecology studied by fecal metabonomics. J. Proteome Res. 2010, 9, 5284–5295. [Google Scholar] [CrossRef] [PubMed]
  42. Frolova, M.; Yudin, S.; Makarov, V.; Glazunova, O.; Alikina, O.; Markelova, N.; Kolzhetsov, N.; Dzhelyadin, T.; Shcherbakova, V.; Trubitsyn, V.; et al. Lacticaseibacillus paracasei: Occurrence in the Human Gut Microbiota and K-Mer-Based Assessment of Intraspecies Diversity. Life 2021, 11, 1246. [Google Scholar] [CrossRef] [PubMed]
  43. Rodrigo-Torres, L.; Landete, J.M.; Huedo, P.; Peirotén, Á.; Langa, S.; Rodríguez-Minguez, E.; Medina, M.; Arahal, D.R.; Arqués, J.L. Complete genome sequences of Lacticaseibacillus paracasei INIA P272 (CECT 8315) and Lacticaseibacillus rhamnosus INIA P344 (CECT 8316) isolated from breast-fed infants reveal probiotic determinants. Gene 2022, 840, 146743. [Google Scholar] [CrossRef] [PubMed]
  44. Tatusov, R.L.; Koonin, E.V.; Lipman, D.J. A Genomic Perspective on Protein Families. Science 1997, 278, 631–637. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  45. Galperin, M.Y.; Kristensen, D.M.; Makarova, K.S.; Wolf, Y.I.; Koonin, E.V. Microbial genome analysis: The COG approach. Brief. Bioinform. 2019, 20, 1063–1070. [Google Scholar] [CrossRef]
  46. Spano, G.; Massa, S. Environmental Stress Response in Wine Lactic Acid Bacteria: Beyond Bacillus subtilis. Crit. Rev. Microbiol. 2006, 32, 77–86. [Google Scholar] [CrossRef]
  47. Capozzi, V.; Russo, P.; Beneduce, L.; Weidmann, S.; Grieco, F.; Guzzo, J.; Spano, G. Technological properties of Oenococcus oeni strains isolated from typical southern Italian wines. Lett. Appl. Microbiol. 2010, 50, 327–334. [Google Scholar] [CrossRef]
  48. Hedberg, M.; Hasslöf, P.; Sjöström, I.; Twetman, S.; Stecksén-Blicks, C. Sugar fermentation in probiotic bacteria—An in vitro study. Oral Microbiol. Immunol. 2008, 23, 482–485. [Google Scholar] [CrossRef]
  49. Landete, J.M.; Ferrer, S.; Monedero, V.; Zúñiga, M. Malic enzyme and malolactic enzyme pathways are functionally linked but independently regulated in Lactobacillus casei BL23. Appl. Environ. Microbiol. 2013, 79, 5509–5518. [Google Scholar] [CrossRef] [Green Version]
  50. Spano, G.; Rinaldi, A.; Ugliano, M.; Moio, L.; Beneduce, L.; Massa, S. A beta-glucosidase gene isolated from wine Lactobacillus plantarum is regulated by abiotic stresses. J. Appl. Microbiol. 2005, 98, 855–861. [Google Scholar] [CrossRef]
  51. Bartowsky, E.J.; Henschke, P.A. The ‘buttery’ attribute of wine—Diacetyl—Desirability, spoilage and beyond. Int. J. Food Microbiol. 2004, 96, 235–252. [Google Scholar] [CrossRef] [PubMed]
  52. Moreno-Arribas, M.V.; Carmen Polo, M. Occurrence of lactic acid bacteria and biogenic amines in biologically aged wines. Food Microbiol. 2008, 25, 875–881. [Google Scholar] [CrossRef] [PubMed]
  53. Cecconi, D.; Milli, A.; Rinalducci, S.; Zolla, L.; Zapparoli, G. Proteomicanalysis of Oenococcus oeni freeze-dried culture to assesstheimportance of cellacclimation to conduct malolactic fermentation in wine. Electrophoresis 2009, 30, 2988–2995. [Google Scholar] [CrossRef]
  54. Solieri, L.; Genova, F.; De Paola, M.; Giudici, P. Characterization and technological properties of Oenococcus oeni strains from wine spontaneous malolactic fermentations: A framework for selection of new starter cultures. J. Appl. Microbiol. 2010, 108, 285–298. [Google Scholar] [CrossRef] [PubMed]
  55. Lerm, E.; Engelbrecht, L.; Du Toit, M. Malolacticfermentation: TheABC’s of MLF. S. Afr. J. Enol. Vitic. 2010, 31, 186–212. [Google Scholar]
  56. Costantini, A.; Rantsiou, K.; Majumder, A.; Jacobsen, S.; Pessione, E.; Svensson, B.; Garcia-Moruno, E.; Cocolin, L. Complementing DIGE proteomics and DNA subarrayanalyses to shed light on Oenococcus oeni adaptation to ethanol in wine-simulated conditions. J. Proteom. 2015, 123, 114–127. [Google Scholar] [CrossRef]
Fermentation 08 00726 g001 550
Figure 1. Chromosome atlas of the Lacticaseibacillus paracasei UNQLpc 10 strain generated using CGView v1.0 (Grant & Stothard, 2008). The GC content is illustrated in the black circle; the positive and negative GC skew is illustrated in the green and purple circles, respectively; and the CDS (Co Ding Sequence) is illustrated in the blue circle. Genome positions in kbp are also shown.
Figure 1. Chromosome atlas of the Lacticaseibacillus paracasei UNQLpc 10 strain generated using CGView v1.0 (Grant & Stothard, 2008). The GC content is illustrated in the black circle; the positive and negative GC skew is illustrated in the green and purple circles, respectively; and the CDS (Co Ding Sequence) is illustrated in the blue circle. Genome positions in kbp are also shown.
Fermentation 08 00726 g001
Fermentation 08 00726 g002 550
Figure 2. Relative abundance of genes associated with general clusters of orthologous groups(COG) functional categories in the UNQLpc10 strain.
Figure 2. Relative abundance of genes associated with general clusters of orthologous groups(COG) functional categories in the UNQLpc10 strain.
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Fermentation 08 00726 g003 550
Figure 3. Core genome phylogenies, obtained by using the BGA software, from the gene content analysis of UNQLpc 10 (Patagonian red wine), and complete genomes of Lcb. paracasei strains isolated from different fermented foods (available from the NCBI GenBank database).
Figure 3. Core genome phylogenies, obtained by using the BGA software, from the gene content analysis of UNQLpc 10 (Patagonian red wine), and complete genomes of Lcb. paracasei strains isolated from different fermented foods (available from the NCBI GenBank database).
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Fermentation 08 00726 g004 550
Figure 4. Schematic representation of the mle gene clusters in Lcb. paracasei UNQLpc 10.
Figure 4. Schematic representation of the mle gene clusters in Lcb. paracasei UNQLpc 10.
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Figure 5. Survival of the Lcb. paracasei UNQLpc 10 strain (A,B) (filled symbols: previously acclimated culture, empty symbols: non-acclimated culture) and percentage of L-malic acid consumption (% MAC) during malolactic fermentation (MLF) (C,D) in synthetic wine with 10 or 14% v/v ethanol (filled symbols: previously acclimated culture, empty symbols: non-acclimated culture). Data are shown as mean ± SD of two independent measurements.
Figure 5. Survival of the Lcb. paracasei UNQLpc 10 strain (A,B) (filled symbols: previously acclimated culture, empty symbols: non-acclimated culture) and percentage of L-malic acid consumption (% MAC) during malolactic fermentation (MLF) (C,D) in synthetic wine with 10 or 14% v/v ethanol (filled symbols: previously acclimated culture, empty symbols: non-acclimated culture). Data are shown as mean ± SD of two independent measurements.
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Table
Table 1. In silico analysis of the UNQLpc 10 genome looking for genes coding for enzymes of technological interest.
Table 1. In silico analysis of the UNQLpc 10 genome looking for genes coding for enzymes of technological interest.
NameFunctionGenes in UNQLpc10
Sugar Metabolism
PhosphoenolpyruvateCarbohydrate transport and metabolism28
Sugar-ABC transportersMainly mediate the transport of nutrients and other
molecules into cells or the pumping of toxins and lipids across membranes [31]		4
L-lactate dehydrogenaseParticipates in anaerobic energy metabolism, reducing pyruvate (from glycolysis) to regenerate NAD+3
Related Enzymes of Flavor Development
Branched-chain aminotransferaseConversion of valine, leucine, and isoleucine into keto acid components. The keto acids are then further converted into aldehydes, alcohols, and esters, which are important aroma
compounds [32] 		1
Aromatic aminotransferaseConversion of tyrosine, tryptophan, and phenylalanine into
Keto acid components [32]		1
Aspartate transaminaseConversion of aspartate into keto acid components.1
Glutamate dehydrogenaseCatalyzes the deamination of glutamate to oxoglutaric acid related to amino acid (branched-chain amino acids, aromatic amino acids, and methionine) degradation
Pathway [32] 		1
D-hydroxyacid dehydrogenaseCatalyzes the reduction of two keto branched-chain acids to hydro acids of interest in flavor formation [33] 1
EsteraseCatalyze the biosynthesis of esters derived from short-chain
fatty acids [32]		1
Homoserine dehydrogenaseHas homoserine trans-acetylase activity and involved in the
Biosynthesis of methionine [32]		1
Homoserine kinaseInvolved in the onset of methionine biosynthesis [32] 1
6-phospho-beta-glucosidaseHydrolytic activity in glycosylated compounds, acts on the glucosidic bonds β (1–4) [34]3
Alpha-glucosidaseHydrolyticactivityonterminal, non-reducing(1→4)-
linked alpha-D-glucose residues with release of D-glucose [34]		5
Malolactic enzymeInvolved in the malolactic fermentation of wine, which results in a natural decrease in acidity and favorable
changes in wine flavors		2
Other Enzymes of Oenological Interest
Membrane intrinsic proteinsRegulate a large set of developmental and physiological
processes and stress responses within cells.		5
Heat-shock genesEnvironmental stress response8
Ethyl stress responseEnvironmental stress response2
Table
Table 2. Parameters obtained from Figure 5 by application of Equation (2).
Table 2. Parameters obtained from Figure 5 by application of Equation (2).
WineEthanol 10%Ethanol 14%
AcclimationNoYesNoYes
%MACf97.18 ± 3.58100 ± 1.0084.10 ± 7.11 *97.12 ± 2.16
K0.328 ± 0.0370.330 ± 0.0130.475 ± 0.1500.440 ± 0.035
R20.990.990.940.99
* Significantly lower than acclimated samples (p< 0.05). %MACf:maximum malic acid consumption obtained by the plateau of Equation (2). K: constant of first order exponential decay. R2: coefficient of determination.
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Iglesias, N.G.; Navarro, M.E.; Brizuela, N.S.; Valdés La Hens, D.; Semorile, L.C.; Tymczyszyn, E.E.; Bravo Ferrada, B.M. Analysis of the Genome Architecture of Lacticaseibacillus paracasei UNQLpc 10, a Strain with Oenological Potential as a Malolactic Starter. Fermentation 2022, 8, 726. https://doi.org/10.3390/fermentation8120726

AMA Style

Iglesias NG, Navarro ME, Brizuela NS, Valdés La Hens D, Semorile LC, Tymczyszyn EE, Bravo Ferrada BM. Analysis of the Genome Architecture of Lacticaseibacillus paracasei UNQLpc 10, a Strain with Oenological Potential as a Malolactic Starter. Fermentation. 2022; 8(12):726. https://doi.org/10.3390/fermentation8120726

Chicago/Turabian Style

Iglesias, Nestor Gabriel, Marina Edith Navarro, Natalia Soledad Brizuela, Danay Valdés La Hens, Liliana Carmen Semorile, Emma Elizabeth Tymczyszyn, and Bárbara Mercedes Bravo Ferrada. 2022. "Analysis of the Genome Architecture of Lacticaseibacillus paracasei UNQLpc 10, a Strain with Oenological Potential as a Malolactic Starter" Fermentation 8, no. 12: 726. https://doi.org/10.3390/fermentation8120726

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