Figures
Abstract
The yeast Torulaspora delbrueckii is associated with several human activities including oenology, bakery, distillery, dairy industry, etc. In addition to its biotechnological applications, T. delbrueckii is frequently isolated in natural environments (plant, soil, insect). T. delbrueckii is thus a remarkable ubiquitous yeast species with both wild and anthropic habitats, and appears to be a perfect yeast model to search for evidence of human domestication. For that purpose, we developed eight microsatellite markers that were used for the genotyping of 110 strains from various substrates and geographical origins. Microsatellite analysis showed four genetic clusters: two groups contained most nature strains from Old World and Americas respectively, and two clusters were associated with winemaking and other bioprocesses. Analysis of molecular variance (AMOVA) confirmed that human activities significantly shaped the genetic variability of T. delbrueckii species. Natural isolates are differentiated on the basis of geographical localisation, as expected for wild population. The domestication of T. delbrueckii probably dates back to the Roman Empire for winemaking (∼1900 years ago), and to the Neolithic era for bioprocesses (∼4000 years ago). Microsatellite analysis also provided valuable data regarding the life-cycle of the species, suggesting a mostly diploid homothallic life. In addition to population genetics and ecological studies, the microsatellite tool will be particularly useful for further biotechnological development of T. delbrueckii strains for winemaking and other bioprocesses.
Citation: Albertin W, Chasseriaud L, Comte G, Panfili A, Delcamp A, Salin F, et al. (2014) Winemaking and Bioprocesses Strongly Shaped the Genetic Diversity of the Ubiquitous Yeast Torulaspora delbrueckii. PLoS ONE 9(4): e94246. https://doi.org/10.1371/journal.pone.0094246
Editor: Joseph Schacherer, University of Strasbourg, France
Received: November 19, 2013; Accepted: March 14, 2014; Published: April 9, 2014
Copyright: © 2014 Albertin et al. This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
Funding: This research was funded by the Univ. de Bordeaux. This work was supported, in part, by the European commission in the framework of the FP7-SME project Wildwine (grant agreement n° 315065). The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript.
Competing interests: The co-authors Laura Chasseriaud and Philippe Marullo are affiliated with BIOLAFFORT. This does not alter the authors′ adherence to all the PLOS ONE policies on sharing data and materials.
Introduction
The remarkable physiological properties of yeasts have led to their wide use in the field of biotechnology. Their fermentative ability has been exploited by humans for millennia to ferment and preserve beverages and food. The most famous yeast is undoubtedly Saccharomyces cerevisiae, which has been making bread, beer [1], wine [2] and spirits [3] -the oldest applications- for ages, and more recently bioethanol [4]. Indeed, population genetics of S. cerevisiae reveals a strong connection to human civilization and history, with genetic clustering coinciding with biotechnological applications [5]. This indicates that over hundreds or even thousands of years, human uses promoted the adaptation of S. cerevisiae to various food/beverage systems, a process called domestication [6].
Besides Saccharomyces cerevisiae, several dozen yeast species are involved in various biotechnological processes, such as Ogataea angusta (formerly Hansenula polymorpha) for production of recombinant proteins among which pharmaceuticals [7], Komagataella (Pichia) pastoris for production of pharmaceutical/nutrient compounds [8], Kluyveromyces lactis var. lactis for enzymatic production [9]. However, there are far less data regarding population studies of so-called “non-conventional” yeasts. Indeed, while there are several examples of adaptation of molds and lactic acid bacteria to anthropic food environments [6], it is still unclear to what extent the domestication process shaped yeast evolution.
In this work, we considered a non-conventional yeast species of technological interest, Torulaspora delbrueckii. T. delbrueckii has been associated with winemaking for decades [10]–[12] and isolated either from grape, must or wine. Although T. delbrueckii is generally unable to complete alcoholic fermentation (i.e. to consume all sugars), it produces relatively high ethanol concentrations for a non-Saccharomyces yeast [11], [13]–[15]. This explains why T. delbrueckii was formerly classified within the Saccharomyces genus (under S. rosei or S. roseus name). T. delbrueckii also produces low levels of undesirable volatile compounds (hydrogen sulphide, volatile phenols) [16], [17], reduces volatile acidity in high-sugar fermentations when associated with S. cerevisiae in mixed cultures [17] and increases sensorial complexity [18]–[20]. Due to its oenological interest, the duo formed by S. cerevisiae and T. delbrueckii is now becoming a model for studying interaction mechanisms between yeast populations [21]–[23].
Besides its potential for winemaking, T. delbrueckii has biotechnological applications in the bread industry [24] due to dough leavening ability associated with high freezing and osmotic tolerance [25]–[27]. T. delbrueckii is frequently described as a major component of yeast biota from dough carried over from previous bread making in rural regions [24] or from artisanal bakeries [28]. Commercial exploitation of this species has recently begun, with some T. delbrueckii strains that are commercialized in Japan for frozen dough applications [24].
T. delbrueckii is also naturally associated with several other human bioprocesses, ranging from food fermentations of silage, cocoa [29], [30], olive [31] or cucumber [32], [33], to distilled and traditional fermented beverage production including mezcal [34], colonche [35], tequila [36], cider [37], strawberry tree fruits juice [38], sugarcane juice [39], [40] and kefir [41]. T. delbrueckii is a frequent component of dairy products' microflora, either as desirable ferment for traditional cheeses [42] and fermented milk [43], or as spoilage yeast [44], [45]. Other processed products like soft drinks (fruit juices, etc.) can be spoiled by yeasts including T. delbrueckii [46].
In most bioprocesses where T. delbrueckii is identified, the species is not added deliberately, unlike S. cerevisiae which is usually added as lyophilized inoculum. T.delbrueckii naturally colonized a wide range of anthropized habitats. This species is also frequently isolated from natural environments, ranging from soils [47], to plants [48], fruits [49] and insects [50], [51]. Finally, this species, although not considered to be a human pathogen, is occasionally found as a clinical isolate [52] where it is usually referred as Candida colliculosa, the anamorphic form of T. delbrueckii [53].
Thus, Torulaspora delbrueckii is a remarkably ubiquitous yeast species with both natural reservoirs and habitats associated with human activities (winemaking and other bioprocesses), and appears to be a perfect yeast model to search for evidence of domestication besides the baker's yeast S. cerevisiae. However, to date, few tools for molecular characterization of T. delbrueckii strains were available. Mitochondrial RFLP appears too poorly discriminant at the strain level [24]. Restriction endonuclease analysis associated with pulse-field gel electrophoresis (REA-PFGE), although discriminant [16], is time-consuming and does not allow for accurate population genetics or ecological studies. In this work, we developed eight microsatellite markers for the T. delbrueckii species. This new tool was used for the genotyping of 110 strains from various geographical regions and various substrates. We show that the genetic variability of the ubiquitous yeast T. delbrueckii is strongly shaped by human activities and in particular by winemaking and other bioprocesses.
Materials and Methods
Yeast strains and culture conditions
One hundred and ten strains of Torulaspora delbrueckii were sampled from various isolation substrates (grape/wine, nature, clinical, bakery, spoiled food, fermented beverages, dairy products and other bioprocesses) and from worldwide locations (Figure 1, Table S1 and Figure S1). In addition, the type strains of T. franciscae, T. pretoriensis, T. microellipsoides, T. globosa, T. indica [54], T. maleeae [55], and T. quercuum [56] were used to test whether the microsatellites developed for T. delbrueckii could be useful for other Torulaspora species.
3 strains (CLIB 230, CLIB 503, MUCL 27828) are not represented since their precise isolation location is unknown. More details on European isolates (grey box) can be found on Figure S1.
All strains were grown at 24°C in YPD-based medium containing 1% yeast extract (w/v, Difco Laboratories, Detroit, MI), 1% Bacto peptone (w/v, Difco), and 6% glucose (w/v), supplemented or not with 2% agar (w/v). For a quick assessment of respiratory-ability, cells were plated on YPGly medium, containing glycerol as unique source of carbon (1% yeast extract (w/v, Difco), 1% Bacto peptone (w/v, Difco), 2% (v/v) glycerol and 2% (w/v) agar). A minimum medium SD containing 0.67% Yeast Nitrogen Base (w/v, Difco), 2% glucose (w/v) and 2% agar (w/v) was used to test for prototrophy/auxotrophy. The ability to sporulate was checked by microscopy after 3 days at 24°C on acetate medium (1% potassium acetate, 2% agar). T. delbrueckii strains usually formed asci with one unique ascospore, while ascii with two to four spores were more rare.
Genomic DNA extraction
For DNA extraction, cells grown on YPD medium were lysed using a FastPrep-24 instrument (MP Biomedicals, Illkirch, France): 100 μL of glass beads (acid-washed, 425–600 μm, Sigma, Lyon, France) were added to cells pellet as well as 300 μl od Nuclei Lysis solution (Wizard Genomic DNA purification Kit, Promega). Cells were crushed through 2 cycles of 20 s (max. speed). Subsequent DNA extraction was performed with the Wizard Genomic DNA purification Kit (Promega) following the manufacturer's protocol.
Species assessment
PCR-RFLP of the ITS region (with EcoRI digestion) was performed as described by Granchi et al. [57] to confirm the Torulaspora genus. In addition, we developed two additional PCR-RFLP markers to discriminate T. delbrueckii strains from the other Torulaspora species: briefly, we amplified D1/D2 domain by means of universal primers NL1 and NL4 [58].
Enzymatic digestions of the 600 pb amplicon were carried out on 10 μl of amplified DNA in a final volume of 15 μl with either AluI or PstI (New England Biolabs, Ipswich, MA) for 16 h at 37°C. Restriction fragments were separated by a microchip electrophoresis system (MultiNA, Shimadzu). AluI restriction allowed discriminating T. delbrueckii from all other species except T. quercuum, while PstI digestion showed different restriction patterns for T. delbrueckii and T. quercuum (Figure 2).
A: For AluI restriction, four patterns were produced: 170 pb+160 pb+80 pb+70 pb+55 pb+40 pb+30 pb for T. delbrueckii and T. quercuum; 170 pb+160 pb+120 pb+70 pb+55 pb+30 pb for T. maleeae and T. indica; 170 pb+160 pb+95 pb+80 pb+70 pb+30 pb for T. franciscae, T. microellipsoides, T. pretoriensis; and 330 pb+170 pb+75 pb+30 pb for T. globosa. B: For PstI restriction, two patterns were produced: 600pb (no restriction) for T. maleeae, T. quercuum, T. indica, T. microellipsoides and T. globosa; or 480 pb+120 pb for T. delbrueckii, T. franciscae and T. pretoriensis. Blue and pink bands represent internal upper and lower markers respectively.
Microsatellite loci identification and primer design
Dinucleotide to tetranucleotide repeats were identified within the genome sequence of T. delbrueckii type strain CBS 1146T (CLIB 230T) [59]. In order to exclude possible telomeric and subtelomeric repeats, we did not consider microsatellites located within 3Kb of the 5′-end or 3′-end of the contigs. Primers were designed using the ‘Design primers’ tool on the SGD website (http://www.yeastgenome.org/cgi-bin/web-primer). In order to reduce the cost associated with primer fluorescent labelling, the forward primers were tailed on the 5′-end with the M13 sequence (19 nt) as described by Schuelke, 2000 [60], allowing the use of M13 primers labelled with FAM or HEX for different PCR reactions. Amplified fragment sizes varied from ∼110 to ∼380 bp, allowing subsequent multiplexing of the amplicons (Table 1).
Microsatellite amplification
PCR reactions were performed in a final volume of 10 μl containing 50–100 ng of genomic DNA, 0.05 μM of forward primer, 0.5 μM of reverse primer and labelled primer, 1X Taq-&GO (MP Biomedicals, Illkirch, France). Universal primers M13 were labelled with either 6-carboxyfluorescein (FAM), or hexachlorofluorescein (HEX) (Eurofins MWG Operon, Les Ulis, France).
PCR was carried out using a thermal cycler (iCycler, Biorad, Hercules, CA, USA) as followed: Initial denaturation step (5 min at 95°C) followed by 35 cycles of 35 s at 95°C, 50 s at melting temperature (see Tm in Table 1) and 40 s at 72°C, and a final extension step of 7 min at 72°C.
Amplicons were initially analysed by a microchip electrophoresis system (MultiNA, Shimadzu) and the optimal conditions for PCR amplifications were assessed. Then, the sizes of the amplified fragments were measured on an ABI3730 DNA analyzer (Applied Biosystems). For that purpose, PCR amplicons were diluted (1800-fold for FAM and 600-fold for HEX-labelled amplicons respectively) and multiplexed (Table 1) in formamide. LIZ 600 molecular marker (ABI GeneScan 600 LIZ Size Standard, Applied Biosystem) was 100-fold diluted and added for each multiplex. Before loading, diluted amplicons were heated 4 min at 94°C. Allele size was recorded using GeneMarker Demo software V2.4.0 (SoftGenetics).
Data analysis
Microsatellite analysis was used to investigate the genetic relationships between strains. A dendrogram was built using Bruvo's distance and Neighbor-Joining clustering, by means of the R program [61] and the following packages: polysat v1.3 [62], ape [63], adephylo [64], phyclust [65]. Bruvo's distance takes into account the peculiar mutational process of microsatellite loci, and is particularly well adapted for populations with mixed ploidy levels [66]. In order to assess the robustness of tree nodes, multiscale bootstrap resampling associated with an approximately unbiased test [67] was performed by means of R and the pvclust package v1.2-2 [61], [68].
In addition to dendrogram drawing, the software structure (v2.3.4) was used to delineate clusters of individuals on the basis of their microsatellite genotypes using a Bayesian approach [69]. Only strains with a maximum of two alleles per loci (i.e. considered as diploids) were conserved for structure analysis (104 strains upon 110). The parameters were as followed: 10000 Burn-in period, 1000 Repetitions. Models with number of populations (K) ranging from K = 3 to K = 20 were tested, and models with and without admixture gave similar results (the model with no admixture was thus conserved for the graphical representation of the population).
To test for population differentiation, analysis of molecular variance (AMOVA) was performed by means of the pegas package [70] with n = 1000 permutations. We tested whether the genetic distance was significantly explained by substrate origin and by geographical localisation (i.e. the continent of isolation was used as grouping factor). F-Statistics (FST, FIT, FIS) were computed for each locus using Weir and Cockerham formula [71], and we tested whether the genotype frequencies of each locus followed the Hardy–Weinberg equilibrium by means of the pegas package [70].
In order to obtain an estimate of the divergence time between different T. delbrueckii genetic clusters from the microsatellite data, we used the method described by Goldstein et al. [72]. In yeasts, the mutation rate for microsatellites generally falls between 1.10−4 and 1.10−6 per cell division [73], [74], so we used an average mutation rate of 1.10−5 per cell division. The number of generations per year in yeast populations is difficult to estimate correctly: Fay and Benavides considered a maximum of 2920 generations per year for domesticated S. cerevisiae [75], but this may be considerably lower for wild yeast populations [76] for which we considered a 100 generations per year as a maximum.
Results
Development of polymorphic microsatellite markers for Torulaspora delbrueckii
We took advantage of the recent de novo assembly of the genome sequence of CBS 1146T (synonymous to CLIB 230T) [77], the type strain of Torulaspora delbrueckii, to search for microsatellite loci. We only considered dinucleotide to tetranucleotide repeats that were not located within the 5′-end and 3′-end of the chromosomes, in order to exclude possible telomeric or subtelomeric positions. We retained eight microsatellite loci that were located on six of the eight chromosomes of CBS 1146T (Table 1). Some loci were located in coding regions, like TD5A (low-affinity hexose transporter LGT1 gene) or TD1A, TD2A, TD6A and TD8A, located in hypothetical protein coding sequences. The three remaining loci, TD1B, TD1C and TD7A were in non-coding regions.
The amplicons were separated using a microchip electrophoresis system (MultiNA), and the optimal conditions for microsatellites amplifications were assessed on a panel of twenty strains of T. delbrueckii (data not shown). After optimisation on T. delbrueckii strains, the microsatellites markers were tested on seven additional species of the Torulaspora genus: T. franciscae, T. pretoriensis, T. microellipsoides, T. globosa, T. indica [54], T. maleeae [55], and T. quercuum [56]. All these species appear to produce good amplification of several markers, suggesting that some of the microsatellites developed for T. delbrueckii could be useful for the study of population genetics of other Torulaspora species. In particular, the type strain of T. pretoriensis Y-17251T showed a complex genotype, with three alleles for three loci (TD1B, TD2A, TD6A), two alleles for three loci (TD1A, TD5A, TD8A) and one allele for the remaining two loci (TD1C, TD7A). This suggested T. pretoriensis Y-17251T could be aneuploid or polyploid. Further characterization of additional T. pretoriensis strains will help determine whether all strains share complex genome or whether complex genotype is strain-specific.
The eight microsatellites markers were then used to genotype 110 T. delbrueckii strains isolated from worldwide regions (Figure 1, Figure S1) and from various substrates (Table S1): 34 strains were natural isolates isolated from plants, insects, soil, etc., 36 strains were associated with several bioprocesses including bakery, cider brewery, dairy processes, other fermented beverage and food industries, excluding winemaking. While winemaking is a bioprocess, a particular focus was placed on strains from grape/wine habitats due to long historical association between winemaking and T. delbrueckii, in comparison to other bioprocesses. Thus, 35 strains related to winemaking and isolated from grapes, must, wine or oenological material, were included. Finally, 3 clinical strains were also included in the collection, as well as 2 strains of unknown origin (one of which was the type strain CBS 1146T = CLIB 230T). All strains were able to grow on minimal medium (SD) and YPG medium containing glycerol as the sole source of carbon, indicating that all 110 strains were prototrophs and able to respire. In addition, all 110 strains studied here were able to sporulate and usually form ascii with one to four ascospores, ascii with a single ascospore were far more frequent than those with 2 to 4 ascospores.
Genotyping the 110 strains of our collection revealed that all microsatellites were polymorphic, with 6 different alleles for TD7A and up to 40 alleles for TD8A (Table 1, Table S2). For some loci, some strains showed allele size incompatible with the stepwise mutation model predicting the increase or decrease in repetition number and thus strict motif multiplication [78]. This indicated that some punctual insertion/deletion may arise either within the microsatellite locus itself, thus increasing motif complexity as previously shown [79], [80], or within adjacent amplified sequence. Finally, all 110 strains tested showed unique genotype, confirming the discriminant power of microsatellite analysis.
Human activities shaped the genetic variability of Torulaspora delbrueckii species
The genetic relationships between the 110 strains of T. delbrueckii were further examined using Bruvo's distance (which is particularly well-adapted for microsatellite data and populations with unknown/variable ploidy levels) and Neighbor-Joining clustering. The resulting dendrogram tree showed four main clusters that were strongly related to substrate origin (Figure 3A). Two groups contained most strains isolated from nature, with a clear dichotomy depending on their geographical origin. Indeed, “nature/Americas” group comprised 25 strains of which 12 were isolated from plants, insects or soils, and 16 isolated on the American continent (with representatives from North, Central and South America). The nature/Americas group was moderately supported with bootstrap value of 51, due to the uncertain position of CBS6518 strain. The descending node (excluding CBS6518) was much more robust (bootstrap value of 89). The “nature/Old World” group comprised 24 strains, 12 out of 24 were indeed isolated from nature (plants and soils), and 18 out of 24 were isolated from the Old World (Europe, Asia and Africa). Nature/Old World group was very robust (bootstrap values of 94).
A: Dendrogram tree built using Bruvo's distance and Neighbor-Joining's clustering. The robustness of the node was assessed using multiscale bootstrap resampling and approximated unbiased test (n = 1000 boots). Bootstrap results are shown only for the main nodes. B: Barplot representing structure results (K = 5). The posterior probability (y-axis) of assignment of each strain (vertical bar) to ancestral groups is shown by colors (dark green, green, blue, red and darkblue colors represent each 5 ancestral populations). Heterozygous strains, meaning strains with at least one heterozygote locus, are indicated by black stars.
The third cluster, designed as “grape/wine” group, was composed of 27 strains, most of them (21/27) being isolated from grapes or wines. The grape/wine group was moderately supported (bootstrap value of 58), due to uncertain position of H strain. However, inferior node (excluding H strain) was much more robust (79). Interestingly, this group was not structured according to the geographical origin, and the main wine regions of the world were all represented (several European regions, California and South America, Australia and New Zealand). The last group was moderately supported (bootstrap value of 55) and contained 34 strains, of which 18 were associated with various bioprocesses and human activities (excluding winemaking) from the five continents. Noticeably, within this so-called “bioprocess” group, a sub-cluster containing mostly dairy strains was observed (6 of 11 strains), with a moderately supported bootstrap value (55). Analysis with the program structure was congruent with the dendrogram tree: structure found an optimum of K = 5 populations that captured the major genetic structure of T. delbrueckii species (Figure 3B). These populations were consistent with the four genetic clusters previously defined from the dendrogram tree (nature/Americas, nature/Old World, grape/wine and other bioprocesses), and also supported the dairy group (Figure 3B).
In order to definitively determine whether, and to what extent, the genetic variation of T. delbrueckii was related to substrate and/or geographical origin, an analysis of molecular variance (AMOVA) was performed. We used either the substrate origin (nature, bioprocess, clinical, grape/wine), or the geographical localisation (using continent of isolation) as grouping factors. The substrate origin explained 12.29% of the total variation of microsatellite dataset, and was strongly significant (p-value<0.00001), indicating that substrate origin shaped significantly, yet not completely, the T. delbrueckii population structure. By contrast, the geographical localisation, although significantly related to molecular variation (p-value<0.001), explained less variation (7.61%). It should be noted that the geographical localisation, when considering only strains from nature, explained 17.19% of the genetic variation of nature isolates (and was significant with p-value<0.001), while it was no longer significant when considering strains from bioprocess and grape/wine origins. This confirmed that human activities, namely winemaking or other bioprocesses, significantly shaped the genetic variability of the corresponding T. delbrueckii strains, while nature isolates are differentiated on the basis of geographical localisation, as expected for a wild population.
Torulaspora delbrueckii is a highly inbred species
Individually, the 110 T. delbrueckii strains included in the analysis had one to 4 alleles per locus. Most strains (71 out of 110) were homozygous for all eight loci, while 33 out of 110 presented a maximum of two alleles per locus. Five strains (B172, CBS2924, DC2, DIL 113 and UWOPS 79-138) had a maximum of 3 alleles, but for one locus only, the hallmark of punctual genetic duplication or aneuploidy rather than whole genome duplication (polyploidy). Finally, UWOPS 83-777.1 had 3 and 4 alleles for TD1A and TD5A respectively, suggesting a more complex genome structure.
Considering T. delbrueckii to be a diploid species, we calculated different population parameters (Table 2). Observed heterozygosity (Ho) was low, from 0.009 for TD7A (the less polymorphic microsatellite locus) to 0.128 for TD1C and TD5A (mean Ho = 0.087). Indeed, the population data strongly deviated from Hardy-Weinberg expectations for all 8 microsatellite loci, with excess in homozygous strains (Table 2). This was particularly evident for the “grape/wine” group, with only three out of 27 heterozygous strains (Figure 3). To determine whether such high level of homozygosity was due to inbreeding and/or to subpopulation differentiation, we calculated F-statistics (FST, FIS and FIT, Table 2). All 8 loci gave similar results: a high total deficit of heterozygotes (FIT), i.e. close to 1, associated with high deficit of heterozygotes within the population (FIS), indicating that the excess of homozygote individuals was mainly due to high inbreeding within each subpopulation rather than to subpopulation differentiation.
Estimating the divergence time of Torulaspora delbrueckii genetic groups
We estimated the divergence time between the different T. delbrueckii genetic clusters from microsatellite data using the method described by Goldstein et al. [72]. We used an average mutation rate of 1.10−5 per cell division, as the mutation rate for microsatellite in yeast generally falls between 1.10−4 and 1.10−6 per cell division [73], [74]. The number of generations per year in wild yeast populations is difficult to estimate correctly [76], but we considered a 100 generations per year as a maximum. Indeed, in winemaking and most bioprocesses, the population size of indigenous T. delbrueckii completed 7 generations per process [81], which can be repeated a few times per year, so that 100 generations per year seems to be a maximum. For wild strains, knowing that yeast growth requires a combination of favourable physico-chemical conditions as well as nutrient availability (sugar, nitrogen), we assumed wild strains would only grow during spring/summer which may limit their growth to less than one hundred generations a year. Using these parameters, the grape/wine cluster was estimated to diverge from the nature/Old World group 1908 years ago [95% interval confidence: 1233–2125 years ago]. By contrast, the bioprocess group was older and diverged from the nature/Americas cluster 3882 years ago [95% interval confidence: 2961–5671 years ago].
Discussion
Torulaspora delbrueckii is a domesticated species for winemaking and bioprocesses
Microsatellite genotyping is widespread for population, ecological and evolutionary studies of eukaryote species [82], [83], and provided new insights into the population structure of S. cerevisiae yeast [5], [84]–[86]. In particular, the strong relationship between genetic clustering and biotechnological applications [5] indicated that S. cerevisiae was a domesticated species. The present study shows that T. delbrueckii strains also cluster depending on their human use, with the existence of genetic groups connected to winemaking and bioprocesses. Many groups had high bootstrap values, the likeliness of the four groups was further confirmed by structure analysis, and the relationship between genetic variation and substrate origin was statistically validated by AMOVA.
The “grape/wine” group is particularly interesting, with strains from various continents demonstrating more genetic proximity than strains from the same continent but from different substrates (bioprocess, nature). This suggests that a group of closely related individuals gave rise to the “grape/wine” population, and were selected, consciously or unconsciously, for wine production. For S. cerevisiae, the wine domestication event occurred 10 000–12 000 years ago (coinciding with the first archaeological records of winemaking), indicating that S. cerevisiae was selected at the very beginning of wine production [5]. To determine if the wine domestication of T. delbrueckii preceded that of S. cerevisiae, the divergence time between the different T. delbrueckii genetic clusters was estimated from microsatellite data. The grape/wine cluster diverged from nature/Old World group around 1900 years ago, suggesting that T. delbrueckii domestication for winemaking is much more recent than S. cerevisiae and is related to the modern history of oenology. More precisely, T. delbrueckii domestication is contemporary with the Roman Empire where Vitis vinifera expanded throughout Europe [87]. In the Middle Ages, V. vinifera further expanded throughout the Old World with religions extension, i.e. Christian crusades in Northern Europe, Islam spread to North Africa and Middle East [87]. As T. delbrueckii is frequently isolated on grapes and other plants, we hypothesized that an ancestral “grape/wine” population of T. delbrueckii spread all around the world with grapevines varieties during the Roman Empire and the Middle Ages, and that their progeny was thus associated with vinification practices in the different wine regions.
Remarkably, besides its use for winemaking, T. delbrueckii strains are associated with several other human activities (dairy products, bakery, distillery, other food and beverage fermentation) that clustered together. The bioprocess group was estimated to be older than T.delbrueckii domestication for wine and to date back around four millennia ago, suggesting simultaneous anthropization of T. delbrueckii and S. cerevisiae for several food and beverage processes during the Neolithic era [88]. Within the bioprocess group, a sub-specialization was observable for dairy products, like S. cerevisiae for which specialization for beer, bread or sake was reported [75], [88]. In addition to the grape/wine and bioprocess clusters, we identified two groups mostly containing strains from nature, indicating that T. delbrueckii consists of both wild and domesticated populations, as shown for S. cerevisiae [75].
Although microsatellite analysis showed strong evidence for wine and bioprocess domestication, the genetic clustering was not perfect, suggesting frequent exchanges between subpopulations that may be mediated by insects or human activities as suggested for S. cerevisiae [86], [89]. To date, T. delbrueckii is the only non-Saccharomyces yeast proved to be domesticated and thus constitutes a complementary model system to the Saccharomyces genus. Population genetics of other yeasts of biotechnological interest will help determine whether anthropization shaped significantly the genetic variability of various yeasts besides S. cerevisiae and T. delbrueckii.
Understanding the life-cycle of Torulaspora delbrueckii
In addition to population structure, microsatellite analysis may be useful for understanding the life-cycle [90]. Different life cycles could be congruent with the results presented here, the main ones being either a mostly diploid life-cycle, with both homozygous and heterozygous homothallic diploid representatives, and a few aneuploid/polyploid individuals; or a mostly haploid life-cycle, with both haploid (homozygous) and diploid (heterozygous) heterothallic individuals, as well as a few aneuploid/polyploid individuals.
T.delbrueckii was formerly described as a haploid species [91]–[93], because of its small cell size and also because tetrads are rarely observed following sporulation. However, several lines of evidence suggest that T. delbrueckii may not be haploid: first, the recent genome sequencing of type strain CBS 1146 reveals that, at the genetic level, T. delbrueckii possesses apparently functional mating-type (MAT) locus and silent HMR and HML loci, suggesting this species could be homothallic [77]. Secondly, all 110 strains we studied here (homozygous and heterozygous) were able to sporulate and mostly formed ascii with a single ascospore. Strains isolated under the name of Candida colliculosa, that should theoretically represent the anamorphic forms, displayed similar sporulation abilities to their so-called teleomorph counterparts. In particular, the clinical isolates showed the same sporulation characteristics as their non-clinical counterparts and were distributed on the dendrogram tree, indicating that T. delbrueckii is an opportunistic pathogen rather than an actual human pathogen. It has to be noted that all T. delbrueckii strains sporulated on traditional sporulation (acetate) medium after 3 days, but also after 7–20 days on YPD-agar plates, indicating that, unlike S. cerevisiae, starvation is not necessary for sporulation [94]. Thirdly, our genotyping data are in accordance with the hypothesis that it is a diploid species (with the identification of 30% of heterozygous individuals), associated with frequent inbreeding and thus frequent diploid homozygous individuals (65%). Such high inbreeding could be explained by the effect of homothallism on population genetic structure, furthermore enhanced by the aptitude of T. delbrueckii to sporulate without starvation. The occasional identification of strains with three or four alleles for a few loci suggests either a gene duplication ability, aneuploidy or even polyploidy, as for S. cerevisiae [5], [95]. All these results suggest a life cycle identical to the homothallic diploid S. cerevisiae yeast. Further experiments, like micro-dissection and genetic analysis of T. delbrueckii monosporic clones, construction of haploid heterothallic strains, etc., will elucidate definitively the life-cycle of T. delbrueckii species.
Toward genetic improvement of T. delbrueckii species for industrial purpose
Species with biotechnological interest are usually improved for industrial purpose, through selection experiments, breeding programs, QTL detection, etc. This is the case of the yeast Saccharomyces cerevisiae for which several improvement programs are running for different technological applications (winemaking, bakery, brewery, distillery, etc.) [96], [97].
Among the non-conventional yeasts naturally associated with food processes, T. delbrueckii is particularly interesting: in winemaking, T. delbrueckii allows reducing organoleptic defects (hydrogen sulphide, volatile phenols, volatile acidity) [16], [17] and increases sensorial complexity [18]–[20]. Thus, recently, several strains of T. delbrueckii were commercialized for winemaking purpose with success, to be used in association with S. cerevisiae. Besides winemaking, microsatellite analysis provides evidence of anthropic selection for other bioprocesses, and a possible specialization for dairy process.
Here, microsatellites markers were developed and gave valuable data regarding the life-cycle of the species, suggesting a mostly diploid homothallic life. A better understanding of life-cycle and the availability of highly discriminant markers paves the way toward further biotechnological improvement of T. delbrueckii strains for winemaking and other bioprocesses purposes.
Supporting Information
Figure S1.
European localisation of the T. delbrueckii strains used in this study.
https://doi.org/10.1371/journal.pone.0094246.s001
(PDF)
Table S1.
Origin of Torulaspora spp. strains used in this study. a ARC-INFRUITEC: Agricultural Research Council-Institute for Deciduous Fruit, Vines and Wine; ARS Culture Collection: Agricultural Research Service Culture Collection, formerly NRRL (Northern Regional Research Laboratory); AWMCC: AWRI Wine Microorganism Culture Collection; BCCM/MUCL: Agroindustrial fungi & yeasts collection, Mycotheque de l'Universite catholique de Louvain; CBS-KNAW: Centraalbureau voor Schimmelcultures (CBS) Fungal Biodiversity Centre, institute of the Royal Netherlands Academy of Arts and Sciences (Koninklijke Nederlandse Akademie van Wetenschappen); CIATEJ: Centro de Investigación y Asistencia en Tecnología y Diseño del Estado de Jalisco; CIRM-Levures: Centre International de Ressources Microbiennes –Levures, formerly CLIB: Collection de Levures d'Intérêt Biotechnologique; CRB Oeno: Centre de Ressources Biologiques Œnologie; CRPR: Centre de Recherche Pernod-Ricard; DIL: Deutsches Institut fur Lebensmitteltechnik e.V.; D.i.S.V.A.: Dipartimento di Scienze della Vita e dell'Ambiente; DSMZ: Deutsche Sammlung von Mikroorganismen und Zellkulturen GmbH; IDEPA: Instituto Multidisciplinario de Investigación y Desarrollo de la Patagonia Norte; IFI: Instituto de Fermentaciones Industriales; IFV: Institut Français de la Vigne et du Vin; ISVV: Institut des Sciences de la Vigne et du Vin; IWBT: Institute for Wine Biotechnology; LYCC: Lallemand Yeast Culture Collection; MRI: Max Rubner-Institut; NCAIM: National Collection of Agricultural and Industrial Microorganisms; NIAS: National Institute of Agrobiological Sciences; NPCC: North Patagonian Culture Collection; PYCC: Portuguese yeast Culture Collection; UOA/HCPF: Hellenic Collection of Pathogenic Fungi, University of Athens; UWOPS: Culture collection of the University of Western Ontario, Department of Biology (formerly Plant Sciences). b Grant FONDEF D98I1037- Chile. Collection and characterization of native yeast strains for differentiation and identity of Chilean wine (1999-2003).
https://doi.org/10.1371/journal.pone.0094246.s002
(XLSX)
Table S2.
Genotype of 110 strains of Torulaspora delbrueckii using eight microsatellite markers. For each strain and each marker, the size of the amplicons is indicated. For heterozygous loci, the different alleles are separated by a slash. NA stands for “Not Available” (missing) data.
https://doi.org/10.1371/journal.pone.0094246.s003
(XLSX)
Acknowledgments
We kindly thank the following persons for providing strains and/or advice:
Ailsa Hocking, Marc-André Lachance, Andreas Podbielski, Andrey Yurkov, Angélica Ganga, Anne Gschaedler, Benoit Colonna-Ceccaldi, Benoit Divol, Célia Quintas, Christian Hertel, Christian von Wallbrunn, David Santo, Dennis Sandris Nielsen, Erna Storgårds, Eveline Bartowsky, Gábor Péter, Guilherme Martins, Hagen Frickmann, Harald Claus, Hector R Urbina, Heide-Marie Daniel, Hervé Alexandre, Hiroshi Fukuhara, Huu-Vang Nguyen, Irena Macioniene, Isabelle Masneuf-Pomarède, James Swezey, Jane McCarthy, Juan José Rubio Coque, Keith Richards, Knut J. Heller, Kyria Boundy-Mills, Lucy Joseph, Makoto Kawase, Marcela Sangorrin, Mark Wilson, Matthias Sipiczki, Maurizio Ciani, Melanie Wieschebrock, Meredith Blackwell, Michael Arabatzis, Monika Coton, Morvan Coarer, Neil Jolly, Noémie Jacques, Patrizia Romano, Petra Wrent, Purificación Hernández-Orte, Savitree Limtong, Serge Casaregola, Joana Coulon and Aline Lonvaud-Funel. We thank Caroline Ahern for correcting the manuscript.
Author Contributions
Conceived and designed the experiments: WA PM MB. Performed the experiments: WA LC GC AP. Analyzed the data: WA LC PM MB. Contributed reagents/materials/analysis tools: AD FS. Wrote the paper: WA LC PM MB.
References
- 1. Samuel D (1996) Investigation of ancient egyptian baking and brewing methods by correlative microscopy. Science 273: 488–490.
- 2. Cavalieri D, McGovern PE, Hartl DL, Mortimer R, Polsinelli M (2003) Evidence for S. cerevisiae fermentation in ancient wine. J Mol Evol 57 Suppl 1S226–232.
- 3. Mortimer RK (2000) Evolution and variation of the yeast (Saccharomyces) genome. Genome Res 10: 403–409.
- 4. Galbe M, Zacchi G (2002) A review of the production of ethanol from softwood. Applied Microbiology and Biotechnology 59: 618–628.
- 5. Legras JL, Merdinoglu D, Cornuet JM, Karst F (2007) Bread, beer and wine: Saccharomyces cerevisiae diversity reflects human history. Mol Ecol 16: 2091–2102.
- 6. Douglas GL, Klaenhammer TR (2010) Genomic evolution of domesticated microorganisms. Annu Rev Food Sci Technol 1: 397–414.
- 7.
Gellissen G (2005) Hansenula polymorpha: Biology and Applications: Wiley-VCH Verlag GmbH & Co. KGaA. i-xiii p.
- 8. Kim Y-J, Oh Y-K, Kang W, Lee E, Park S (2005) Production of human caseinomacropeptide in recombinant Saccharomyces cerevisiae and Pichia pastoris. Journal of Industrial Microbiology and Biotechnology 32: 402–408.
- 9. Bonekamp F, Oosterom J (1994) On the safety of Kluyveromyces lactis — a review. Applied Microbiology and Biotechnology 41: 1–3.
- 10. Castelli T (1954) Les agents de la fermentation vinaire. Archiv für Mikrobiologie 20: 323–342.
- 11. van Breda V, Jolly N, van Wyk J (2013) Characterisation of commercial and natural Torulaspora delbrueckii wine yeast strains. International Journal of Food Microbiology 163: 80–88.
- 12. Sangorrín M, Lopes C, Jofré V, Querol A, Caballero A (2008) Spoilage yeasts from Patagonian cellars: characterization and potential biocontrol based on killer interactions. World Journal of Microbiology and Biotechnology 24: 945–953.
- 13. Parle JN, Di Menna ME (1966) The source of yeasts in New Zealand wines. New Zealand Journal of Agricultural Research 9: 98–107.
- 14.
Castelli T (1940) Sulla validità del genere Torulaspora. Archiv für Mikrobiologie 11..
- 15. Comitini F, Gobbi M, Domizio P, Romani C, Lencioni L, et al. (2011) Selected non-Saccharomyces wine yeasts in controlled multistarter fermentations with Saccharomyces cerevisiae. Food Microbiol 28: 873–882.
- 16. Renault P, Miot-Sertier C, Marullo P, Hernandez-Orte P, Lagarrigue L, et al. (2009) Genetic characterization and phenotypic variability in Torulaspora delbrueckii species: Potential applications in the wine industry. Int J Food Microbiol 134: 201–210.
- 17. Bely M, Stoeckle P, Masneuf-Pomarede I, Dubourdieu D (2008) Impact of mixed Torulaspora delbrueckii-Saccharomyces cerevisiae culture on high-sugar fermentation. Int J Food Microbiol 122: 312–320.
- 18. Azzolini M, Fedrizzi B, Tosi E, Finato F, Vagnoli P, et al. (2012) Effects of Torulaspora delbrueckii and Saccharomyces cerevisiae mixed cultures on fermentation and aroma of Amarone wine. European Food Research and Technology 235: 303–313.
- 19. Ciani M, Maccarelli F (1998) Oenological properties of non-Saccharomyces yeasts associated with wine-making. World Journal of Microbiology & Biotechnology 14: 199–203.
- 20. Herraiz T, Reglero G, Herraiz M, Martin-Alvarez PJ, Cabezudo MD (1990) The Influence of the Yeast and Type of Culture on the Volatile Composition of Wines Fermented Without Sulfur Dioxide. American Journal of Enology and Viticulture 41: 313–318.
- 21. Renault PE, Albertin W, Bely M (2013) An innovative tool reveals interaction mechanisms among yeast populations under oenological conditions. Applied Microbiology and Biotechnology 97: 4105–4119.
- 22. Nissen P, Nielsen D, Arneborg N (2003) Viable Saccharomyces cerevisiae cells at high concentrations cause early growth arrest of non-Saccharomyces yeasts in mixed cultures by a cell–cell contact-mediated mechanism. Yeast 20: 331–341.
- 23. Nissen P, Arneborg N (2003) Characterization of early deaths of non-Saccharomyces yeasts in mixed cultures with Saccharomyces cerevisiae. Arch Microbiol 180: 257–263.
- 24.
Pacheco A, Santos J, Chaves S, Almeida J, Leao C, et al.. (2012) The Emerging Role of the Yeast Torulaspora delbrueckii in Bread and Wine Production: Using Genetic Manipulation to Study Molecular Basis of Physiological Responses. In: Eissa AHA, editor. Structure and Function of Food Engineering: InTech.
- 25. Hernandez-Lopez MJ, Prieto JA, Randez-Gil F (2003) Osmotolerance and leavening ability in sweet and frozen sweet dough. Comparative analysis between Torulaspora delbrueckii and Saccharomyces cerevisiae baker's yeast strains. Antonie Van Leeuwenhoek International Journal of General and Molecular Microbiology 84: 125–134.
- 26. Alves-Araujo C, Almeida MJ, Sousa MJ, Leao C (2004) Freeze tolerance of the yeast Torulaspora delbrueckii: cellular and biochemical basis. FEMS Microbiol Lett 240: 7–14.
- 27. Almeida MJ, Pais C (1996) Leavening ability and freeze tolerance of yeasts isolated from traditional corn and rye bread doughs. Applied and Environmental Microbiology 62: 4401–4404.
- 28. Vrancken G, De Vuyst L, Van der Meulen R, Huys G, Vandamme P, et al. (2010) Yeast species composition differs between artisan bakery and spontaneous laboratory sourdoughs. FEMS Yeast Research 10: 471–481.
- 29. Nielsen DS, Snitkjaer P, van den Berg F (2008) Investigating the fermentation of cocoa by correlating Denaturing Gradient Gel Electrophoresis profiles and Near Infrared spectra. International Journal of Food Microbiology 125: 133–140.
- 30. Papalexandratou Z, Falony G, Romanens E, Jimenez JC, Amores F, et al. (2011) Species Diversity, Community Dynamics, and Metabolite Kinetics of the Microbiota Associated with Traditional Ecuadorian Spontaneous Cocoa Bean Fermentations. Applied and Environmental Microbiology 77: 7698–7714.
- 31. Kotzekidou P (1997) Identification of yeasts from black olives in rapid system microtitre plates. Food Microbiology 14: 609–616.
- 32. Etchells JL, Costilow RN, Bell TA (1952) Identification of Yeasts from Commercial Cucumber Fermentations in Northern Brining Areas. Farlowia 4: 249–264.
- 33. Etchells JL, Bell TA (1950) Classification of yeasts from fermentation of commercially brined cucumbers. Farlowia 4: 112.
- 34. Verdugo Valdez A, Segura Garcia L, Kirchmayr M, Ramírez Rodríguez P, González Esquinca A, et al. (2011) Yeast communities associated with artisanal mezcal fermentations from Agave salmiana. Antonie Van Leeuwenhoek 100: 497–506.
- 35. Ulloa M, Herrera T (1978) Torulopsis taboadae, una nueva especie de levadura aislada del colonche de Zacatecas, México. Boletín de la Sociedad Mexicana de Micología 12: 5–12.
- 36. Lachance M-A (1995) Yeast communities in a natural tequila fermentation. Antonie Van Leeuwenhoek 68: 151–160.
- 37. Coton E, Coton M, Levert D, Casaregola S, Sohier D (2006) Yeast ecology in French cider and black olive natural fermentations. International Journal of Food Microbiology 108: 130–135.
- 38. Santo DE, Galego L, Gonçalves T, Quintas C (2012) Yeast diversity in the Mediterranean strawberry tree (Arbutus unedo L.) fruits' fermentations. Food Research International 47: 45–50.
- 39. Pataro C, Guerra JB, Petrillo-Peixoto ML, Mendonça-Hagler LC, Linardi VR, et al. (2000) Yeast communities and genetic polymorphism of Saccharomyces cerevisiae strains associated with artisanal fermentation in Brazil. Journal of Applied Microbiology 89: 24–31.
- 40. Stringini M, Comitini F, Taccari M, Ciani M (2008) Yeast diversity in crop-growing environments in Cameroon. International Journal of Food Microbiology 127: 184–189.
- 41. Loretan T, Mostert JF, Viljoen BC (2003) Microbial flora associated with South African household kefir. South African Journal of Science 99: 92–94.
- 42. Welthagen JJ, Viljoen BC (1998) Yeast profile in Gouda cheese during processing and ripening. International Journal of Food Microbiology 41: 185–194.
- 43. Gadaga TH, Mutukumira AN, Narvhus JA (2000) Enumeration and identification of yeasts isolated from Zimbabwean traditional fermented milk. International Dairy Journal 10: 459–466.
- 44. Andrighetto C, Psomas E, Tzanetakis N, Suzzi G, Lombardi A (2000) Randomly amplified polymorphic DNA (RAPD) PCR for the identification of yeasts isolated from dairy products. Letters in Applied Microbiology 30: 5–9.
- 45. Westall S, Filtenborg O (1998) Spoilage yeasts of decorated soft cheese packed in modified atmosphere. Food Microbiology 15: 243–249.
- 46. Ros-Chumillas M, Egea-Cortines M, Lopez-Gomez A, Weiss J (2007) Evaluation of a rapid DNA extraction method to detect yeast cells by PCR in orange juice. Food Control 18: 33–39.
- 47. Capriotti A (1957) Torulaspora nilssoni nov. spec. Archiv für Mikrobiologie 28: 247–254.
- 48. Limtong S, Koowadjanakul N (2012) Yeasts from phylloplane and their capability to produce indole-3-acetic acid. World Journal of Microbiology and Biotechnology 28: 3323–3335.
- 49. Tokuoka K, Ishitani T, Goto S, Komagata K (1985) IDENTIFICATION OF YEASTS ISOLATED FROM HIGH-SUGAR FOODS. The Journal of General and Applied Microbiology 31: 411–427.
- 50. Nguyen NH, Suh S-O, Blackwell M (2007) Five novel Candida species in insect-associated yeast clades isolated from Neuroptera and other insects. Mycologia 99: 842–858.
- 51. Nguyen NH, Suh SO, Erbil CK, Blackwell M (2006) Metschnikowia noctiluminum sp. nov., Metschnikowia corniflorae sp. nov., and Candida chrysomelidarum sp. nov., isolated from green lacewings and beetles. Mycol Res 110: 346–356.
- 52. Kaygusuz I, Mulazimoglu L, Cerikcioglu N, Toprak A, Oktay A, et al. (2003) An unusual native tricuspid valve endocarditis caused by Candida colliculosa. Clinical Microbiology and Infection 9: 319–322.
- 53. Frickmann H, Lakner A, Essig A, Poppert S (2012) Rapid identification of yeast by fluorescence in situ hybridisation from broth and blood cultures. Mycoses 55: 521–531.
- 54. Saluja P, Yelchuri RK, Sohal SK, Bhagat G, Paramjit, et al (2012) Torulaspora indica a novel yeast species isolated from coal mine soils. Antonie Van Leeuwenhoek 101: 733–742.
- 55. Limtong S, Imanishi Y, Jindamorakot S, Ninomiya S, Yongmanitchai W, et al. (2008) Torulaspora maleeae sp. nov., a novel ascomycetous yeast species from Japan and Thailand. FEMS Yeast Res 8: 337–343.
- 56. Wang QM, Xu J, Wang H, Li J, Bai FY (2009) Torulaspora quercuum sp. nov. and Candida pseudohumilis sp. nov., novel yeasts from human and forest habitats. FEMS Yeast Res 9: 1322–1326.
- 57. Granchi L, Bosco M, Messini A, Vincenzini M (1999) Rapid detection and quantification of yeast species during spontaneous wine fermentation by PCR-RFLP analysis of the rDNA ITS region. J Appl Microbiol 87: 949–956.
- 58. Kurtzman CP, Robnett CJ (1991) Phylogenetic relationships among species of Saccharomyces, Schizosaccharomyces, Debaryomyces and Schwanniomyces determined from partial ribosomal RNA sequences. Yeast 7: 61–72.
- 59. Gordon JL, Byrne KP, Wolfe KH (2011) Mechanisms of chromosome number evolution in yeast. PLoS Genet 7: e1002190.
- 60. Schuelke M (2000) An economic method for the fluorescent labeling of PCR fragments. Nat Biotechnol 18: 233–234.
- 61.
R Development Core Team (2010) R: A language and environment for statistical computing. Vienna, Austria: R Foundation for Statistical Computing.
- 62. Clark LV, Jasieniuk M (2011) POLYSAT: an R package for polyploid microsatellite analysis. Mol Ecol Resour 11: 562–566.
- 63. Paradis E, Claude J, Strimmer K (2004) APE: Analyses of Phylogenetics and Evolution in R language. Bioinformatics 20: 289–290.
- 64. Jombart T, Balloux F, Dray S (2010) adephylo: new tools for investigating the phylogenetic signal in biological traits. Bioinformatics 26: 1907–1909.
- 65.
Chen W-C (2011) Overlapping Codon Model, Phylogenetic Clustering, and Alternative Partial Expectation Conditional Maximization Algorithm: Iowa State University.
- 66. Bruvo R, Michiels NK, D'Souza TG, Schulenburg H (2004) A simple method for the calculation of microsatellite genotype distances irrespective of ploidy level. Mol Ecol 13: 2101–2106.
- 67. Shimodaira H (2002) An approximately unbiased test of phylogenetic tree selection. Systematic Biology 51: 492–508.
- 68. Suzuki R, Shimodaira H (2006) Pvclust: an R package for assessing the uncertainty in hierarchical clustering. Bioinformatics 22: 1540–1542.
- 69. Pritchard JK, Stephens M, Donnelly P (2000) Inference of Population Structure Using Multilocus Genotype Data. Genetics 155: 945–959.
- 70. Paradis E (2010) pegas: an R package for population genetics with an integrated-modular approach. Bioinformatics 26: 419–420.
- 71. Weir BS, Cockerham CC (1984) Estimating F-Statistics for the Analysis of Population-Structure. Evolution 38: 1358–1370.
- 72. Goldstein DB, Ruiz Linares A, Cavalli-Sforza LL, Feldman MW (1995) Genetic absolute dating based on microsatellites and the origin of modern humans. Proc Natl Acad Sci U S A 92: 6723–6727.
- 73. Lynch M, Sung W, Morris K, Coffey N, Landry CR, et al. (2008) A genome-wide view of the spectrum of spontaneous mutations in yeast. Proc Natl Acad Sci U S A 105: 9272–9277.
- 74. Pelletier R, Krasilnikova MM, Samadashwily GM, Lahue R, Mirkin SM (2003) Replication and Expansion of Trinucleotide Repeats in Yeast. Molecular and Cellular Biology 23: 1349–1357.
- 75. Fay JC, Benavides JA (2005) Evidence for domesticated and wild populations of Saccharomyces cerevisiae. PLoS Genet 1: 66–71.
- 76. Kuehne HA, Murphy HA, Francis Chantal A, Sniegowski PD (2007) Allopatric Divergence, Secondary Contact, and Genetic Isolation in Wild Yeast Populations. Current Biology 17: 407–411.
- 77. Gordon JL, Armisén D, Proux-Wéra E, ÓhÉigeartaigh SS, Byrne KP, et al. (2011) Evolutionary erosion of yeast sex chromosomes by mating-type switching accidents. Proceedings of the National Academy of Sciences 108: 20024–20029.
- 78. Valdes AM, Slatkin M, Freimer NB (1993) Allele Frequencies at Microsatellite Loci - the Stepwise Mutation Model Revisited. Genetics 133: 737–749.
- 79. Primmer CR, Ellegren H (1998) Patterns of molecular evolution in avian microsatellites. Molecular Biology and Evolution 15: 997–1008.
- 80. Kruglyak S, Durrett RT, Schug MD, Aquadro CF (1998) Equilibrium distributions of microsatellite repeat length resulting from a balance between slippage events and point mutations. Proc Natl Acad Sci U S A 95: 10774–10778.
- 81. Zott K, Claisse O, Lucas P, Coulon J, Lonvaud-Funel A, et al. (2010) Characterization of the yeast ecosystem in grape must and wine using real-time PCR. Food Microbiol 27: 559–567.
- 82. Rosenberg NA, Pritchard JK, Weber JL, Cann HM, Kidd KK, et al. (2002) Genetic structure of human populations. Science 298: 2381–2385.
- 83. Schlotterer C (2001) Genealogical inference of closely related species based on microsatellites. Genet Res 78: 209–212.
- 84. Schuller D, Casal M (2007) The genetic structure of fermentative vineyard-associated Saccharomyces cerevisiae populations revealed by microsatellite analysis. Antonie Van Leeuwenhoek 91: 137–150.
- 85. Richards K, Goddard M, Gardner R (2009) A database of microsatellite genotypes for Saccharomyces cerevisiae. Antonie Van Leeuwenhoek 96: 355–359.
- 86. Goddard MR, Anfang N, Tang R, Gardner RC, Jun C (2010) A distinct population of Saccharomyces cerevisiae in New Zealand: evidence for local dispersal by insects and human-aided global dispersal in oak barrels. Environmental Microbiology 12: 63–73.
- 87. This P, Lacombe T, Thomas MR (2006) Historical origins and genetic diversity of wine grapes. Trends in Genetics 22: 511–519.
- 88. Sicard D, Legras JL (2011) Bread, beer and wine: Yeast domestication in the Saccharomyces sensu stricto complex. C R Biol 334: 229–236.
- 89. Stefanini I, Dapporto L, Legras JL, Calabretta A, Di Paola M, et al. (2012) Role of social wasps in Saccharomyces cerevisiae ecology and evolution. Proc Natl Acad Sci U S A 109: 13398–13403.
- 90. Paolocci F, Rubini A, Riccioni C, Arcioni S (2006) Reevaluation of the Life Cycle of Tuber magnatum. Applied and Environmental Microbiology 72: 2390–2393.
- 91. Hernández-López MJ, Pallotti C, Andreu P, Aguilera J, Prieto JA, et al. (2007) Characterization of a Torulaspora delbrueckii diploid strain with optimized performance in sweet and frozen sweet dough. International Journal of Food Microbiology 116: 103–110.
- 92. Sasaki T, Ohshima Y (1987) Induction and Characterization of Artificial Diploids from the Haploid Yeast Torulaspora delbrueckii. Applied and Environmental Microbiology 53: 1504–1511.
- 93.
Kurtzman CP, Fell JW, Boekhout T (2011) The Yeasts: A Taxonomic Study. Amsterdam: Elsevier.
- 94. Codon AC, Gasentramirez JM, Benitez T (1995) Factors Which Affect the Frequency of Sporulation and Tetrad Formation in Saccharomyces cerevisiae Bakers Yeasts. Applied and Environmental Microbiology 61: 1677–1677.
- 95. Albertin W, Marullo P (2012) Polyploidy in fungi: evolution after whole-genome duplication. Proceedings of the Royal Society B: Biological Sciences 279: 2497–2509.
- 96. Marullo P, Bely M, Masneuf-Pomarede I, Pons M, Aigle M, et al. (2006) Breeding strategies for combining fermentative qualities and reducing off-flavor production in a wine yeast model. FEMS Yeast Res 6: 268–279.
- 97. Marullo P, Mansour C, Dufour M, Albertin W, Sicard D, et al. (2009) Genetic improvement of thermo-tolerance in wine Saccharomyces cerevisiae strains by a backcross approach. FEMS Yeast Res 9: 1148–1160.