Hybridization and adaptive evolution of diverse Saccharomyces species for cellulosic biofuel production
- David Peris1, 2View ORCID ID profile,
- Ryan V. Moriarty1, 2,
- William G. Alexander1, 2,
- EmilyClare Baker1, 3,
- Kayla Sylvester1, 2,
- Maria Sardi1, 2, 3,
- Quinn K. Langdon1,
- Diego Libkind4,
- Qi-Ming Wang1, 5,
- Feng-Yan Bai5,
- Jean-Baptiste Leducq6, 7,
- Guillaume Charron7,
- Christian R. Landry7,
- José Paulo Sampaio8,
- Paula Gonçalves8,
- Katie E. Hyma9,
- Justin C. Fay9,
- Trey K. Sato2 and
- Chris Todd Hittinger1, 2, 3Email authorView ORCID ID profile
© The Author(s) 2017
Received: 30 November 2016
Accepted: 18 March 2017
Published: 27 March 2017
Lignocellulosic biomass is a common resource across the globe, and its fermentation offers a promising option for generating renewable liquid transportation fuels. The deconstruction of lignocellulosic biomass releases sugars that can be fermented by microbes, but these processes also produce fermentation inhibitors, such as aromatic acids and aldehydes. Several research projects have investigated lignocellulosic biomass fermentation by the baker’s yeast Saccharomyces cerevisiae. Most projects have taken synthetic biological approaches or have explored naturally occurring diversity in S. cerevisiae to enhance stress tolerance, xylose consumption, or ethanol production. Despite these efforts, improved strains with new properties are needed. In other industrial processes, such as wine and beer fermentation, interspecies hybrids have combined important traits from multiple species, suggesting that interspecies hybridization may also offer potential for biofuel research.
To investigate the efficacy of this approach for traits relevant to lignocellulosic biofuel production, we generated synthetic hybrids by crossing engineered xylose-fermenting strains of S. cerevisiae with wild strains from various Saccharomyces species. These interspecies hybrids retained important parental traits, such as xylose consumption and stress tolerance, while displaying intermediate kinetic parameters and, in some cases, heterosis (hybrid vigor). Next, we exposed them to adaptive evolution in ammonia fiber expansion-pretreated corn stover hydrolysate and recovered strains with improved fermentative traits. Genome sequencing showed that the genomes of these evolved synthetic hybrids underwent rearrangements, duplications, and deletions. To determine whether the genus Saccharomyces contains additional untapped potential, we screened a genetically diverse collection of more than 500 wild, non-engineered Saccharomyces isolates and uncovered a wide range of capabilities for traits relevant to cellulosic biofuel production. Notably, Saccharomyces mikatae strains have high innate tolerance to hydrolysate toxins, while some Saccharomyces species have a robust native capacity to consume xylose.
This research demonstrates that hybridization is a viable method to combine industrially relevant traits from diverse yeast species and that members of the genus Saccharomyces beyond S. cerevisiae may offer advantageous genes and traits of interest to the lignocellulosic biofuel industry.
KeywordsSaccharomyces Biodiversity Ammonia fiber expansion (AFEX) AFEX-pretreated corn stover hydrolysate (ACSH) Hybridization Bioethanol Xylose Hydrolysate toxins
Fossil fuel reserves are being depleted , and their use contributes to climate change . To avoid the tremendous costs associated with continued fossil fuel consumption, renewable and clean energy sources must be developed to create a sustainable bioeconomy. Liquid transportation biofuels will be an important component of this new bioeconomy, and cellulosic bioethanol provides an attractive renewable energy source that is nearly CO2-neutral and compatible with much of the current distribution infrastructure . Nonetheless, the bioconversion of lignocellulosic biomass to liquid fuels poses several challenges that have yet to be fully overcome .
Saccharomyces (S.) cerevisiae is the workhorse of the incipient lignocellulosic biofuel industry  due to its robustness, stress-tolerance compared to bacteria and other fermenting microbes , and the established infrastructure for production by the sugarcane and starch ethanol industries. Even so, the complex composition of lignocellulosic biomass  poses several specific challenges. First, hydrolysates made from lignocellulosic sources contain high levels of pentose sugars, particularly xylose, which native S. cerevisiae consumes poorly or not at all . Second, these hydrolysates contain potent fermentation inhibitors that are mainly derived from the deconstruction of biomass during the chemical pretreatments used to improve the accessibility of cellulose and hemicellulose to hydrolysis . For example, after enzymatic treatment and the application of the ammonia fiber expansion (AFEX) method used to deconstruct corn stover , phenolic amides, phenolic acids, furans, and other small inhibitory molecules are generated ; these molecules are collectively termed “hydrolysate toxins (HTs).” Proposed mechanisms for their toxicity include the inhibition of key enzymatic steps, such as glutamine PRPP amidotransferase (PurF), which is important for de novo purine biosynthesis but inhibited by feruloyl amide in Escherichia coli ; decreased energy availability due to costly efflux pumps ; and redox imbalances caused by the detoxification of acids and aldehydes .
Previous work has partially overcome the xylose conversion issue by introducing genes encoding efficient xylose metabolism enzymes into S. cerevisiae. For example, GS1.11-26 is a strain of S. cerevisiae derived from the corn ethanol industrial strain Ethanol Red. GS1.11-26 was engineered with the Clostridium phytofermentans xylA gene, which encodes xylose isomerase; cassettes to overexpress genes encoding enzymes of the pentose phosphate pathway; and several other genes of interest. Mutagenesis and adaptive evolution further improved xylose fermentation by GS1.11-26 . Generally, this and similar strategies have focused on laboratory or corn ethanol strains of S. cerevisiae [15–19].
Our strategy has been to begin with one of the most stress-tolerant strains from a collection of wild S. cerevisiae strains (with pairwise nucleotide divergence values of up to nearly 0.8%), leading to the selection of S. cerevisiae NRRL YB-210, which was originally isolated from Costa Rican bananas [20–23]. NRRL YB-210 was then engineered with the genes XYL1, XYL2, and XYL3 from Scheffersomyces (Sch.) stipitis , and it was evolved aerobically in rich media with xylose as the main carbon source, generating the strain GLBRCY73 (Y73) , whose heterothallic haploid derivative is GLBRCY101 (Y101). We have also previously described the engineering and evolution of GLBRCY128 (Y128). This haploid strain was also derived from NRRL YB-210, but it was engineered to overexpress S. cerevisiae TAL1, C. phytofermentans xylA, and Sch. stipitis XYL3, a strategy that bypassed the redox imbalance created by the XYL1 and XYL2 steps in Y73. This strain also underwent a series of adaptive evolution experiments in YPX, yielding a final strain that could ferment xylose anaerobically, including in AFEX corn stover hydrolysate (ACSH) [25, 26]. Even in these stress-tolerant, xylose-fermenting strains, the HTs in ACSH are still potent repressors of xylose fermentation .
New biological parts, including both genes and cis-regulatory elements, are critical for improving tolerance to HTs, biofuel production, and other traits of interest . Unfortunately, de novo production of standardized, heterologous parts remains expensive, and predictions of which parts will achieve engineering goals remains limited by the scant knowledge of cellular networks . The genus Saccharomyces includes six additional species beyond S. cerevisiae [28, 29]. These species are as genetically divergent at the protein sequence level as are humans and birds . Diversity can be considerable even within a given Saccharomyces species. For example, S. paradoxus populations vary widely in freeze–thaw tolerance and temperature preferences , while different populations of S. kudriavzevii differ significantly in the gene content of their galactose utilization pathways . European strains of S. kudriavzevii also have broad differences in aromatic compound production . Thus, this genus offers an unparalleled opportunity to harness genetic variation for the improvement of biotechnological processes .
Hybridization among Saccharomyces species provides a facile method to combine traits, genes, and cis-regulatory elements [34, 35]. Several hybrids have been isolated from fermented beverages, such as wine, beer, and cider, which suggests that these hybrids are tolerant to stressful fermentative conditions and yield high-quality products with complex suites of traits that are difficult to obtain from a single species. [33, 36–45]. After several rounds of fermentation and transfers, new hybrids undergo genomic rearrangements, gene conversion, and gene copy number changes, presumably to maintain or amplify genes, from either parent, relevant to the industrial condition [40, 46, 47]. In some cases, these hybrids have been shown to outcompete both parents in the industrial condition, demonstrating heterosis (hybrid vigor) [48, 49].
In this work, we generated eight synthetic interspecies hybrids by crossing haploid engineered biofuel strains of S. cerevisiae with haploid derivatives of several Saccharomyces species, allowing us to explore whether hybridization is useful in biofuel research in a manner analogous to its use in the fermented beverage industry. Growth parameters were intermediate or showed evidence of heterosis. Six synthetic hybrids were evolved in ACSH microaerobically, exposing the cells to xylose and stress (e.g., starvation, ethanol toxicity). After selection, these evolved synthetic hybrids demonstrated improved fermentative properties, and genome sequencing of these strains revealed changes in the copy numbers of several chromosomal segments. To further explore the broad potential of the genus for biofuel production, we examined five hundred and seven wild, non-engineered Saccharomyces strains and found that several species and populations harbor genetic potential that could eventually be exploited for cellulosic biofuel production, such as HT tolerance and xylose consumption.
Synthetic hybrids have intermediate traits or display heterosis
Haploid derivative, engineered strains, and ancestral and evolved hybrid strains information
MAT a/MAT α?; ρ + (C2_H69)
MAT a/MAT α?; ρ + (C2_H162)
MAT a/MAT α?; ρ + (C2_H146)
MAT a/MAT α?; ρ + (C2_H158)
MAT a/MAT α?; ρ + (C2_H77)
MAT a/MAT α?; ρ + (C2_H97)
MAT a/MAT α; hoΔ::XYL123-KanMX; ρ + (C2_H13)
Evolved in YPX, aerobically
MAT a hoΔ::XYL123-KanMX; ρ + (C2_H13)
Dissected from GLBRCY73
hoΔ::ScTAL1-CpXylA-SchXYL3-KanMX; MAT a; ρ + (C2_H13)
Evolved in YPX, anaerobically
MAT α hoΔ::NatMX; ρ + (C2_H74)
MAT α hoΔ::NatMX; ρ + (C2_H83)
MAT α hoΔ::NatMX; ρ + (C2_H77)
MAT α hoΔ::TKMX; ρ + (C2_H103)
Y101 × S. mikatae yHSSS217
MAT a/MAT α; hoΔ::XYL123-KanMX/hoΔ::NatMX; ρ + (Recombinant)
Y101 × S. kudriavzevii FM1097
MAT a/MAT α; hoΔ::XYL123-KanMX/hoΔ::NatMX; ρ + (S. cerevisiae)
Y101 × S. kudriavzevii FM1097
MAT a/MAT α; hoΔ::XYL123-KanMX/hoΔ::NatMX; ρ + (S. cerevisiae)
yHDPN5 evolved in ACSH, microaerobically, 50 G
Y101 × S. mikatae yHSSS217
MAT a/MAT α; hoΔ::XYL123-KanMX/hoΔ::NatMX; ρ + (Recombinant)
yHDPN1 evolved in ACSH, microaerobically, 50 G
During growth in ACSH microtiter plates, the synthetic hybrids generally had intermediate kinetic traits relative to both parents (Fig. 2; Additional file 1). For example, Y73 × S. mikatae, Y128 × S. mikatae, and Y128 × S. uvarum grew faster than their S. cerevisiae parents (t test, p value <0.0010), while Y73 × S. kudriavzevii and Y73 × S. eubayanus grew faster than their non-S. cerevisiae parents (t test, p value <0.0300). One hybrid, Y128 × S. uvarum, showed significant heterosis by growing faster than both parents (t test, p value <0.0057). These data suggest that ACSH kinetic traits are heritable and, in many cases, at least partially dominant.
The synthetic hybrids retained the critical xylose consumption trait of their engineered S. cerevisiae parents, except for Y73 × S. kudriavzevii, whose extracellular xylose concentration remained unchanged after 14 days in culture at 24 °C (Additional file 2). Although the concentration of extracellular xylose decreased in most of the synthetic hybrids, the final concentration was higher than the S. cerevisiae parents (t test, p value = 0.0309). These results suggest that interspecies hybridization can generate phenotypic diversity, while often retaining important parental kinetic and fermentative traits.
Adaptive evolution improved the fermentative traits of synthetic hybrids
To determine whether synthetic hybrids could be improved through adaptive evolution, six synthetic hybrids (those crossing Y73 or Y128 to either S. mikatae, S. kudriavzevii, or S. uvarum) were evolved for 50 generations in triplicate (Fig. 1). Each round consisted of fermentations in ACSH at 30 °C for 14 days under microaerobic conditions. Since glucose was exhausted by the second day, this stringent condition forced the cells toward starvation if they did not consume xylose, while simultaneously forcing them to retain tolerance to HTs and ethanol. Most of the synthetic hybrids did not survive these harsh conditions, and only two replicates of Y73 × S. mikatae and one replicate of Y73 × S. kudriavzevii reached the complete 50 generations of adaptive evolution. At the end of the adaptive evolution experiment, 10 colonies of each surviving hybrid were grown in Minimal Medium (MM) containing 2% xylose, and the fastest-growing variant was selected for further analysis.
To test the performance of our synthetic hybrids in more industrially relevant conditions, we also performed ACSH fermentations at 30 °C in anaerobic conditions for 7 days (Fig. 3; Additional files 6A, F, 7A, F). Xylose consumption and ethanol production in ACSH under anaerobic conditions remained qualitatively similar compared to microaerobic conditions. Interestingly, the extracellular xylose concentrations decreased faster in both evolved hybrids relative to ancestral hybrids (t test, p value <0.04886).
Adaptive evolution drives genome rearrangements
Previous studies have shown that the genomes of interspecies hybrids are unstable [51–53]. To test whether our evolved hybrids experienced genome instability during their adaptation to ACSH, we sequenced their genomes, measured their relative DNA content by flow cytometry, and compared these data with that from their ancestors. As expected, ancestral hybrids were diploid, and the evolved Y73 × S. mikatae hybrid remained approximately diploid (Additional file 8). In contrast, flow cytometry and read coverage data indicated that the evolved hybrid Y73 × S. kudriavzevii was approximately triploid, suggesting an increase of the DNA content per cell (Additional file 8).
Heritable hydrolysate tolerance of S. mikatae and other Saccharomyces strains
The Saccharomyces species differed significantly in their responses to ACSH (Kruskal–Wallis test p value <2.2 × 10−16) (Fig. 6A). A principal component analysis (PCA) demonstrated a strong correlation between maximum OD and growth rate among strains (Fig. 6C, Spearman’s correlation ρ = 0.67, p value = 2.2 × 10−16), while the length of the lag phase constituted a second principal component. S. mikatae and S. paradoxus produced more biomass and had faster maximum growth rates in ACSH than the other species (Fig. 6A, B). Although none of the species as a whole grew significantly faster than Y73 (Dunn’s test, corrected p value >0.05), whose genetic background was chosen specifically for ACSH tolerance , both species included several strains that grew faster (Fig. 6A). For example, S. mikatae IFO1815 grew faster than Y73 (t test, p value <9.7 × 10−4, Fig. 2a), a capability shared with many other S. mikatae strains. Indeed, S. mikatae grew significantly faster than the other Saccharomyces species (Dunn’s test, corrected p value <0.0455) (Fig. 6A), which suggests an innate tolerance to ACSH.
Several of our Saccharomyces strains have been classified into different populations or phylogenetic lineages (Additional file 9) [24, 25, 28, 32, 33, 43, 44, 54–63]. When we examined the kinetic parameters by splitting the strains by their lineage designation (Additional file 10), we found significant differences in growth rates between lineages for S. paradoxus and S. eubayanus (Kruskal–Wallis test, p value <0.05). For example, S. paradoxus strains from the America C (Québec) lineage  grew significantly faster than other lineages of this species (Dunn’s test corrected p value <0.0354). Similarly, strains from the Patagonia A and B lineages grew significantly faster than a set of closely related admixture strains (Dunn’s test corrected p value <0.0157), suggesting that this specific combination of alleles from these two lineages [33, 44] is detrimental in this particular condition. These associations further suggest that ACSH kinetic traits are heritable.
Yeast diversity translates into fermentation trait diversity
Individual HTs affected each species differently (Additional file 11). For example, compared to other Saccharomyces species, S. mikatae grew faster in most of the conditions testing individual HTs, except for in YPDX plus sodium acetate and YPDX plus the cocktail of HTs, which includes sodium acetate (Additional file 11). Thus, sodium acetate was the most inhibitory HT for our collection of S. mikatae strains (Dunn’s test, corrected p value = 0.0093). The kinetic parameters of strains were correlated among media, but the correlation values of the various media with ACSH and YPDX plus the cocktail of HTs were the lowest (Additional file 12).
As expected, the S. cerevisiae engineered strain Y73 was able to utilize xylose better than other Saccharomyces strains, except for in YPDX where Y73 and Y128 consumed similar levels (Wilcoxon rank sum test p value >0.05). Although xylose utilization was highly inhibited in ACSH compared to YPDX (Wilcoxon rank sum test, p value = 2.2 × 10−16), we were able to detect xylose utilization by other non-S. cerevisiae strains in other media (Fig. 8; Additional file 13). In particular, S. uvarum consumed significantly more xylose (Additional file 13G) than other non-S. cerevisiae strains in YPDX plus the cocktail of HTs and in YPDX (t test, corrected p value <0.0240), except when compared to S. paradoxus in YPDX medium (Additional file 13C), where they consumed xylose similarly.
Interspecies hybridization and adaptive evolution combine and improve traits
Lignocellulosic biomass hydrolysates, such as ACSH, AFEX switchgrass hydrolysates, and wheat straw hydrolysates, are complex media [11, 64, 65] that pose particular challenges for efficient fermentations . One method to begin to generate new strains with higher yields or tolerance is by selecting a chassis strain with useful properties and introducing biological parts from other organisms by genetic engineering . However, this scheme requires specific knowledge of which biological parts are responsible for the traits of interest. Quantitative trait locus (QTL) mapping , comparative genomics [21, 68], chemical genomics , and several other methods have been successfully used to identify such parts, but each approach is labor intensive and costly.
Here we followed a rationale being applied in the fermented beverage industry, where several types of industrial hybrids are known, and researchers have recently constructed synthetic hybrids deliberately [70–72]. By crossing strains of S. cerevisiae engineered for xylose fermentation [21, 24] with different species of Saccharomyces, we efficiently combined their biological parts and, by adaptive evolution, established a selective regime where the hybrid strains adapted to ACSH while retaining hydrolysate tolerance and improving fermentative traits relative to the ancestral synthetic hybrids. Although none of these strains outperformed the Y73, repeating the process for additional generations may yield further improvements.
We detected several genomic rearrangements and copy number changes in these evolved hybrids, events frequently observed in Saccharomyces hybrids used in the fermented beverage industry [33, 40, 42, 43, 47, 73, 74]. At least some of these rearrangements and copy number changes probably confer adaptive properties, such as the increase in the number of copies of the Sch. stipitis xylose utilization (XYL) genes. Interestingly, the Y73 × S. kudriavzevii hybrid significantly improved its xylose consumption without amplifying these XYL genes, suggesting that its improved xylose utilization was driven by a distinct mechanism. Other rearrangements might be important for genome stability, such as the fixation of the S. cerevisiae cluster of rDNA, which is known to undergo concerted evolution in several domesticated yeasts [43, 75], as well as in interspecies hybrids in other types of organisms .
The genome content of hybrids from the fermented beverage industry ranges from approximately diploid to approximately tetraploid, and most strains are aneuploid [40, 47, 74]. Hybrids that are approximately triploid or tetraploid can be generated in two ways. The first model proposes haploid–haploid hybridization, followed by increases of ploidy, such as through endoreduplication . A second model proposes so-called “rare mating” events where a diploid MAT a /MAT α cell is converted to MAT a /MAT a or MAT α /MAT α by gene conversion and then mates with a haploid or another compatible diploid [46, 78]. Here one of our diploid synthetic hybrids increased its genome content to approximately triploid with several tetrasomic chromosomes. Although we cannot rule out a rare mating event in liquid culture, endoreplication followed by the losses of one of the four copies of most chromosomes seems to be the simplest explanation.
Saccharomyces diversity as a source of biological innovation
Saccharomyces species offer a great opportunity to use interspecies hybridization to explore the vast genetic diversity present in the genus . The likelihood that any natural strain would be optimal for all traits required for a particular industrial process is infinitesimal. Indeed, we found that none of the engineered strains, nor wild strains from the various Saccharomyces species were optimal for HT tolerance, xylose consumption, or ethanol production. This result highlights the importance of determining the genetic bases of industrially desirable traits so that they can be used to further engineer chassis strains for biofuel production.
Specifically, here we demonstrated that many strains of S. paradoxus and S. mikatae tolerate ACSH better than a strain of S. cerevisiae specifically chosen for its ACSH tolerance . S. paradoxus was previously shown to tolerate furfural and hydroxymethylfurfural (HMF) [79, 80], results that our data replicate on a much broader strain collection. We also found that the under-characterized species S. mikatae might have even better tolerance traits than S. paradoxus for HMF and several other HTs. Interestingly, S. paradoxus, S. mikatae, and especially S. uvarum can also consume xylose to some extent in ACSH. In general, Saccharomyces have been found to not utilize xylose , but a handful of studies in S. cerevisiae [82, 83], together with this study on other Saccharomyces, have demonstrated that some strains do consume xylose, even though they do so slowly and mainly accumulate xylitol. Variation among strains in HT tolerance and xylose utilization could both be ecologically relevant. In nature, yeasts are likely to be differentially exposed to xylose and HTs, which can be derived from the degradation of lignocellulosic biomass by other fungi , deployed as defensive compounds by plants , or encountered in the guts of insects that feed on plants . Thus, understanding the genetic basis of variation in these traits among yeast species and populations might simultaneously illuminate their ecologies and provide biotechnological benefits.
Exploiting the vast genetic diversity of Saccharomyces
In this study, we chose Saccharomyces strains for hybridization prior to our comprehensive screen for traits of interest to biofuel production, in part because of the considerable labor required to generate stable haploid strains for crosses. To maximize the exploration of genetic traits from Saccharomyces species and allow crosses with asexual industrial strains, we recently developed the Hybrid Production (HyPr) system . The utility of HyPr resides in its ability to generate allopolyploids by efficiently inducing rare mating between diploids and selecting for hybrids with reciprocal markers. With this methodology in hand, we can now easily generate allotetraploids and expose them to adaptive evolution to generate and recombine genomic diversity. Tetraploids may be of particular interest for these types of experiments because they have been shown to adapt faster than diploids and haploids . Coupled with the identification of top performers for each Saccharomyces species, this new technology will allow us to explore a broader genomic landscape than we have done here with haploid–haploid synthetic hybrids, with the goal of ultimately determining the genetic basis of variation in traits relevant to biofuel production.
The genus Saccharomyces offers an unparalleled opportunity to explore a vast range of genetic and phenotypic diversity with the aim of identifying key variants and biological parts for the improvement of xylose utilization, HT tolerance, and biofuel yield. Importantly, none of the wild isolates was the best performer for all desired fermentative traits. Since predicting desirable genetic variants and biological parts remains a major challenge, a protocol of interspecies hybridization and adaptive evolution offers a facile shortcut to recombine the genomes of new strains of interest with established biofuel chassis strains.
Yeast strains and maintenance
Our strain survey included five hundred and seven wild Saccharomyces strains, thirteen Saccharomyces hybrids isolated from fermented beverages, and eight synthetic hybrids. Strain information can be found in Additional files 1 and 9. As a standard reference, we used a strain of S. cerevisiae engineered and aerobically evolved for the consumption of xylose, Y73 [21, 24]. Yeast strains were stored in cryotubes with YPD (1% yeast extract, 2% peptone and 2% glucose) and 15% glycerol at −80 °C. Routine cultures were maintained in YPD plus 2% agar plates at 24 °C.
Haploid-haploid crosses for hybrid production and confirmation
Haploid derivatives of S. mikatae IFO1815, S. kudriavzevii IFO1802, S. uvarum CBS7001 were previously generated . Heterothallic haploid derivatives of Y73 (GLBRCY101) and S. eubayanus FM1318 (yHEB67) were generated in this study. For the generation of haploid derivative strains, the HO locus was replaced by a drug-resistance or TK  marker, and transformants were selected (Table 1). Sporulation was induced on sporulation plates (1% Potassium Acetate, 0.1% yeast extract, 0.05% glucose, 2% agar) or YPD at 24 °C, and tetrads were microdissected and micromanipulated using the SporePlay Dissector (Singer Instruments, UK). The strain of S. cerevisiae engineered and anaerobically evolved for the consumption of xylose, Y128 , is a haploid strain, so sporulation was not required. Mating type was determined by crossing the hoΔ::DominantMarker haploid strains with diagnostic auxotrophic haploid strains that were MAT a or MAT α. Successful crosses were able to grow in minimal medium (MM: 0.67% Yeast Nitrogen Base, 0.1% monosodium glutamate, 2% glucose) plus the conditions required to select for the dominant marker.
Heterothallic haploid Y101 or Y128 strains were each crossed with four haploid, MAT-compatible, non-S. cerevisiae strains. After pre-culturing strains at 24 °C overnight in YPD liquid, MAT-compatible cells were cultured in a 1.5-mL Eppendorf tube and patched in YPD agar plate to allow mating. After 12–36 h of incubation, a small amount of the patch was transferred to a YPD plate with the two corresponding drugs or other selective cocktails. DNA from successful growing colonies was extracted by the NaOH method [63, 89]. The hybrid nature of the nuclear genome was tested by a PCR-based random fragment length polymorphism (RFLP) method , and parental mitochondrial contribution was confirmed by PCR and Sanger-sequencing the mitochondrial COX2 gene using primers previously described . Eight synthetic hybrids were isolated and stored in cryotubes with YPD plus 15% glycerol at −80 °C.
Microtiter plate growth curves
Our complete collection of strains was pre-cultured in deep 96-well plates with 500 µl of synthetic complete (SC: 0.67% Yeast Nitrogen Base without amino acids and without ammonium sulfate, 0.079% Drop-out Mix Complete, 0.5% ammonium sulfate, 2% glucose) until saturation at 24 °C. After pre-culture, 10 µl of saturated culture was inoculated into a 96-well plate (Nunc, Roskilde, Denmark) containing 240 µl of ACSH. Outer wells contained 250 µl of sterile water and were not inoculated. Each plate contained the reference strain Y73. Growth curve analysis and kinetic parameter estimation are detailed below.
Based on the results of this initial screen, the fastest-growing strain of each species or lineage and the slowest-growing strain of each species were selected, resulting in a total of forty-five Saccharomyces strains that also included the type strains of each species, the reference biofuel chassis strains, and eight synthetic hybrids (Fig. 7). The strain of S. mikatae chosen as its slowest-growing representative was discovered to not be a strain of Saccharomyces during the study, so it was removed from further analysis; all other strains were confirmed to be correctly identified. These representative strains are stored in a unique deep 96-well plate with YPD plus 15% glycerol. We calculated growth kinetic parameters in YPDX (1% yeast extract, 2% peptone, 6% glucose and 3% xylose), YPDX plus a cocktail of HTs (80 mM acetamide, 5.5 mM coumaroyl amide, 0.71 mM ferulic acid, 5.5 mM feruloyl amide, 1.1 mM hydroxy-methyl-furfural, 2.1 mM p-coumaric acid, and 32 mM sodium acetate), YPDX plus each individual HT (at concentrations indicated in the recipe for YPDX plus the cocktail of HTs). All media were adjusted to pH 5.2 with HCl. The concentrations of HTs are based their estimated concentrations in ACSH, previously published as Synthetic Hydrolysate v2 (SynH2) . Feruloyl and coumaroyl amide were synthesized as described previously . Each plate contained five copies of the reference strain Y73.
To monitor the growth of strains in the different conditions, inoculated 96-well plates were placed in Tecan F500 (Tecan Trading, Männedorf, Switzerland) maintaining an interior temperature set to a minimum of 28 °C. Selected synthetic ancestral and evolved hybrids (see below) and GLRBCY73 were tested at 30 °C (Fig. 1). Absorbance at 595 nm was monitored every 15 min for 5 days. Background absorbance was subtracted from the average of three negative controls (media without cells). Kinetic parameters for each condition were calculated in GCAT . Average and standard deviations from two independent biological replicates were calculated in R . Kinetic parameter values from the first ACSH screen were normalized against values from the reference strain, Y73.
Fermentations and extracellular compound measurement
ACSH was prepared following the previously described method  with autoclaving prior to enzymatic hydrolysis, and its approximate composition has been determined . Exploratory ACSH fermentations of selected strains (Fig. 1; Additional file 9), S. paradoxus strain CBS432, and eight synthetic hybrids were performed in 50 mL of ACSH at 24 °C in microaerobic conditions (250-mL flasks with airlocks) to minimize the sensitivity to higher temperatures of psychrophilic Saccharomyces species, such as S. eubayanus, S. kudriavzevii, and S. uvarum . The starting OD at λ = 600 nm was 0.2, and shaking was performed at 110 rpm. A 600-µl sample from each individual flask was collected from fourteen time points: 0, 22.5, 46.5, 70.5, 94.5, 118.5, 142.5, 166.5, 190.5, 214.5, 238.5, 262.5, 286.5, and 334.5 h. Absorbance at 600 nm was measured using a DiluPhotometer spectrophotometer (Implen, Munich, Germany). Samples were centrifuged at 15,000 rcf for 1 min to pellet cells. Supernatant was analyzed in high-performance liquid chromatography (HPLC, see below) to measure extracellular compounds.
Six wild non-S. cerevisiae strains, one from each species, were selected based on their kinetics and potential xylose consumption (Table 1). These promising strains, along with the two engineered S. cerevisiae strains, were selected for more detailed fermentations in ACSH, YPDX, YPDX plus a cocktail of HTs (see above), and YPDX plus 1.2 mM feruloyl amide at 24 °C for 14 days. Three biological replicates were performed in independent 150-mL flask (see above) experiments a week or more apart. Similar fermentations were performed for S. cerevisiae Y73, two synthetic hybrids, and two evolved hybrids (see below), except that they were performed at 30 °C. Samples from five time points (0, 46.5, 166.5, 262.5, and 334.5 h) were processed as above for absorbance and extracellular compounds measurements.
To assess performance of key strains in a more industrially relevant condition, anaerobic fermentations were performed in ACSH at 30 °C for Y73, two synthetic hybrids, and two evolved hybrids. Media and cultures were degassed in an anaerobic chamber where O2 levels remained below 30 ppm. In this case, we sampled each day during the 7 days of fermentation.
Extracellular acetate, d-glucose, d-xylose, ethanol, glycerol, succinate, and xylitol in ACSH, YPDX and derivatives were determined by HPLC (Agilent 1260 infinity) using a quaternary pump, chilled (4 °C) autosampler, vacuum degasser, and refractive index detector (Agilent Technologies, Inc., Palo Alto, CA). The HPLC column consisted of an Aminex HPX-87H column (Bio-Rad) operating at 50 °C, a mobile phase of 0.02N H2SO4, and a flow rate of 0.5 ml/min.
Six of the synthetic hybrids (those generated between crosses of GLRBCY101 (heterothallic haploid derivative of Y73) or Y128 with haploid derivatives of S. mikatae, S. kudriavzevii, and S. uvarum) were evolved in triplicate for 50 generations at 30 °C in ACSH in microaerobic conditions (shake flasks with airlocks). 14 days of fermentation were performed to allow cells to consume xylose, and an aliquot of each replicate was transferred to a fresh ACSH until it reached 50 generations. The absorbance of the starting cultures and pitching density was 0.2 OD at λ = 600 nm, and OD was monitored at the end of each fermentation to calculate the number of generations per round of fermentation. When necessary, we performed sample dilutions to stay in the linear range of the spectrophotometer. From each round and replicate, three samples of 1 ml of the population culture were stored at −80 °C. From fermentation round 5 to the end of adaptive evolution experiment, a sample from each individual replicate was cultured on YPD plates to isolate 10 colonies. Colonies were stored at −80 °C. When the experiments reached 50 generations, the 10 colonies were pre-cultured overnight in SC plus 0.2% glucose, and 10 µl was transferred into a 96-well plate with 240 µl of MM plus 2% xylose (Table 1) to select the fastest-growing hybrid variant for further analyses.
DNA content and genome sequencing
DNA contents of ancestral and evolved hybrids were determined by flow cytometry as previously described . The diploid Y73 (2n) and the tetraploid W34/70 (4n) were used as references.
Paired-end Illumina HiSeq2000 platform 2 × 100 reads were generated (Additional file 15). Reads were demultiplexed, and adapters were removed using Trimmomatic , with parameters: 2:30:10 TRAILING:3 MINLEN:25. Species genome contributions to the ancestral and evolved synthetic hybrids were estimated as described previously  using genome assemblies of S. cerevisiae, S. mikatae, and S. kudriavzevii downloaded from www.saccharomycessensustricto.org . Illumina reads were deposited in the SRA public database of NCBI under BioProject accession number SRP090190. Mitochondrial inheritance was assessed by assembling the synthetic hybrid genomes using SPAdes  as implemented in the wrapper iWGS v1 . Scaffolds with a GC content lower than 30% were selected and mapped against the S. cerevisiae ancestor of the GLRBCY strains, Y22-3 , S. mikatae (accession number KX657747), and S. kudriavzevii (accession number KX657746) mitochondrial genomes, using Geneious R6 .
A non-parametric Kruskal–Wallis test was applied to infer significant differences among data by using a Dunn’s test, which also conducts an ad hoc test for pairwise comparisons. P values were corrected for multiple comparisons to control the false discovery rate (FDR), by applying the Benjamini-Hochberg correction. Values were considered significant when the corrected/adjusted p value was below the FDR threshold of 5%. Correlation tests were conducted using the non-parametric Spearman’s rank correlation test. The reported t test was approached as an unpaired t test because independent samples were assayed for significance. Statistics, Principal Component Analysis (PCA), boxplots, and other graphs were conducted in R (R Development Core Team 2010).
AFEX-pretreated corn stover hydrolysate
ammonia fiber expansion
false discovery rate
high-performance liquid chromatography
principal component analysis
random fragment length polymorphism
yeast nitrogen base
Conceived and designed the experiments: DP, WGA, CTH. Contributed synthetic hybrids or engineered strains: DP, WGA, EB, KS, MS, TS, CTH. Performed the screenings and fermentations: DP, RVM. Analyzed the genomes for sequencing coverage: DP, QKL. Analyzed the data: DP. Contributed and selected wild isolates: RVM, KS, DL, QMW, FYB, JBL, GC, CRL, JPS, PG, KH, JCF, CTH. Wrote the paper: DP, WGA, CTH. All authors read and approved the final manuscript.
We thank Yaoping Zhang for ACSH and HTs; Mick McGee for HPLC analysis; Lucas S. Parreiras for developing Y73 and Y128; Yury Bukhman for GCAT feedback; Benedetta Turchetti, Douda Bensasson, Jean-Luc Legras, Jian Bing, Ching-Fu Lee, Polona Zalar, Rawanda Al-Khalili, and Xu-Qian Shao for providing strains or natural samples for yeast isolation; Amanda Beth Hulfachor for preparing Illumina sequencing libraries; members of the Hittinger Lab and GLBRC for feedback during manuscript preparation; and the University of Wisconsin Biotechnology Center DNA Sequencing Facility for providing Illumina and Sanger sequencing facilities and services.
The Wisconsin Alumni Research Foundation has filed provisional patent applications entitled “Recombinant yeast having enhanced xylose fermentation capabilities and methods of use” (describing Y128 with TKS and Jeff S. Piotrowski as inventors) and “Synthetic yeast cells and methods of making and using same” (describing the HyPr method with WGA, DP, and CTH as inventors). The other authors declare that they have no competing interests.
Availability of data and materials
Raw genome sequencing data have been deposited in NCBI’s SRA as SRP090190.
Consent for publication
The authors consent for publication.
Ethics approval and consent to participate
The authors declare ethical approval was not necessary.
This work was funded by the DOE Great Lakes Bioenergy Research Center (DOE Office of Science BER DE-FC02-07ER64494). Material related to yeast isolation and biodiversity is based upon work supported by the National Science Foundation under Grant No. DEB-1253634 (to CTH), USDA National Institute of Food and Agriculture Hatch Project 1003258 (to CTH), ANPCyT Grant PICT 2542 (to DL), CONICET Grant PIP 0392 (to DL), UNComahue Grant B171 (to DL), Grant No. 31470150 from National Natural Science Foundation of China (to FYB), a NSERC Discovery Grant (to CRL), and National Institutes of Health Grant No. GM080669 (to JCF). This material is based upon work supported by the National Science Foundation Graduate Research Fellowship under Grant No. DGE-1256259 to MS and QKL; QKL was also supported by the Predoctoral Training Program in Genetics, funded by the National Institutes of Health (5 T32 GM007133-40); KEH was supported by a NIH Genome Analysis Training Grant. CRL holds the Canada Research Chair in Evolutionary Cell and Systems Biology. CTH is a Pew Scholar in the Biomedical Sciences, supported by the Pew Charitable Trusts.
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