Enabling xylose utilization in Yarrowia lipolytica for lipid production

The conversion of lignocellulosic sugars, in particular xylose, is important for sustainable fuels and chemicals production. While the oleaginous yeast Yarrowia lipolytica is a strong candidate for lipid production, it is currently unable to effectively utilize xylose. By introducing a heterologous oxidoreductase pathway and enabling starvation adaptation, we obtained a Y. lipolytica strain, E26 XUS, that can use xylose as a sole carbon source and produce over 15 g/L of lipid in bioreactor fermentations (29.3% of theoretical yield) with a maximal lipid productivity of 0.19 g/L/h. Genomic sequencing and genetic analysis pointed toward increases in genomic copy number of the pathway and resulting elevated expression levels as the causative mutations underlying this improved phenotype. More broadly, many regions of the genome were duplicated during starvation of Yarrowia. This strain can form the basis for further engineering to enhance xylose catabolic rates and conversion. Finally, this study also reveals the flexibility and dynamic nature of the Y. lipolytica genome, and the means at which starvation can be used to induce genomic duplications.     

APJ1 and GRE3 homologs work in concert to allow growth in xylose in a natural Saccharomyces sensu stricto hybrid yeast

Creating Saccharomyces yeasts capable of efficient fermentation of pentoses such as xylose remains a key challenge in the production of ethanol from lignocellulosic biomass. Metabolic engineering of industrial Saccharomyces cerevisiae strains has yielded xylose-fermenting strains, but these strains have not yet achieved industrial viability due largely to xylose fermentation being prohibitively slower than that of glucose. Recently, it has been shown that naturally occurring xylose-utilizing Saccharomyces species exist. Uncovering the genetic architecture of such strains will shed further light on xylose metabolism, suggesting additional engineering approaches or possibly even enabling the development of xylose-fermenting yeasts that are not genetically modified. We previously identified a hybrid yeast strain, the genome of which is largely Saccharomyces uvarum, which has the ability to grow on xylose as the sole carbon source. To circumvent the sterility of this hybrid strain, we developed a novel method to genetically characterize its xylose-utilization phenotype, using a tetraploid intermediate, followed by bulk segregant analysis in conjunction with high-throughput sequencing. We found that this strain's growth in xylose is governed by at least two genetic loci, within which we identified the responsible genes: one locus contains a known xylose-pathway gene, a novel homolog of the aldo-keto reductase gene GRE3, while a second locus contains a homolog of APJ1, which encodes a putative chaperone not previously connected to xylose metabolism. Our work demonstrates that the power of sequencing combined with bulk segregant analysis can also be applied to a nongenetically tractable hybrid strain that contains a complex, polygenic trait, and identifies new avenues for metabolic engineering as well as for construction of nongenetically modified xylose-fermenting strains.     

Influence of genetic background of engineered xylose-fermenting industrial <Emphasis Type="Italic">Saccharomyces cerevisiae</Emphasis> strains for ethanol production from lignocellulosic hydrolysates

An industrial ethanol-producing Saccharomyces cerevisiae strain with genes of fungal oxido-reductive pathway needed for xylose fermentation integrated into its genome (YRH1415) was used to obtain haploids and diploid isogenic strains. The isogenic strains were more effective in metabolizing xylose than YRH1415 strain and able to co-ferment glucose and xylose in the presence of high concentrations of inhibitors resulting from the hydrolysis of lignocellulosic biomass (switchgrass). The rate of xylose consumption did not appear to be affected by the ploidy of strains or the presence of two copies of the xylose fermentation genes but by heterozygosity of alleles for xylose metabolism in YRH1415. Furthermore, inhibitor tolerance was influenced by the heterozygous genome of the industrial strain, which also showed a marked influenced on tolerance to increasing concentrations of toxic compounds, such as furfural. In this work, selection of haploid derivatives was found to be a useful strategy to develop efficient xylose-fermenting industrial yeast strains.     

Temporal analysis of xylose fermentation by Scheffersomyces stipitis using shotgun proteomics

Proteomics and fermentation technology have begun to integrate to investigate fermentation organisms in bioprocess development. This is the first shotgun proteomics study employed to monitor the proteomes of Scheffersomyces stipitis during xylose fermentation under oxygen limitation. We identified 958 nonredundant proteins and observed highly similar proteomes from exponential to early stationary phases. In analyzing the temporal proteome, we identified unique expression patterns in biological processes and metabolic pathways, including alternative respiration salicylhydroxamic acid (SHAM) pathway, activation of glyoxylate cycle, expression of galactose enzymes, and secondary zinc-containing alcohol dehydrogenase and O-glycosyl hydrolases. We identified the expression of a putative, high-affinity xylose sugar transporter Xut1p, but low-affinity xylose transporters were absent. Throughout cell growth, housekeeping processes included oxidative phosphorylation, glycolysis, nonoxidative branch of the pentose phosphate pathway, gluconeogenesis, biosynthesis of amino acids and aminoacyl total RNA (tRNA), protein synthesis and proteolysis, fatty acid metabolism, and cell division. This study emphasized qualitative analysis and demonstrated that shotgun proteomics is capable of monitoring S. stipitis fermentation and identifying physiological states, such as nutrient deficiency.     

Expression of xylA genes encoding xylose isomerases from Escherichia coli and Streptomyces coelicolor in the methylotrophic yeast Hansenula polymorpha

The thermotolerant methylotrophic yeast Hansenula polymorpha is able to ferment xylose to ethanol at high temperatures. H. polymorpha xylose reductase and xylitol dehydrogenase are involved during the first steps of this fermentation. In this article, expression of bacterial xylA genes coding for xylose isomerases from Escherichia coli or Streptomyces coelicolor in the yeast H. polymorpha was shown. The expression was achieved by integration of the xylA genes driven by the promoter of the H. polymorpha glyceraldehyde-3-phosphate dehydrogenase gene ( HpGAP) into the H. polymorpha genome. Expression of the bacterial xylose isomerase genes restored the ability of the H. polymorpha Deltaxyl1 mutant to grow in a medium with xylose as the sole carbon source. This mutant has a deletion of the XYL1 gene encoding xylose reductase and is not able to grow in the xylose medium. The H. polymorpha Deltaxyl1(xylA) transformants displayed xylose isomerase activities, which were near 20% of that of the bacterial host strain. The transformants did not differ from the yeast wild-type strain with respect to ethanol production in xylose medium.     

Proceedings of the SMBE Tri-National Young Investigators' Workshop 2005. Accurate inference and estimation in population genomics

Both intra- and interspecific genomic comparisons have revealed local similarities in the level and frequency of mutational variation, as well as in patterns of gene expression. This autocorrelation between measurements leads to violations of assumptions of independence in many statistical methods, resulting in misleading and incorrect inferences. Here I show that autocorrelation can be due to many factors and is present across the genome. Using a one-dimensional spatial stochastic model, I further show how previous results can be employed to correct for autocorrelation along chromosomes in population and comparative genomics research. When multiple hypothesis tests are autocorrelated, I demonstrate that a simple correction can lead to increased power in statistical inference. I present a preliminary analysis of population genomic data from Drosophila simulans to show the ubiquity of autocorrelation and applicability of the methods proposed here.     

An efficient CRISPR/Cas9-based genome editing system for alkaliphilic Bacillus sp. N16-5 and application in engineering xylose utilization for D-lactic acid production

Alkaliphiles are considered more suitable chassis than traditional neutrophiles due to their excellent resistance to microbial contamination. Alkaliphilic Bacillus sp. N16-5, an industrially interesting strain with great potential for the production of lactic acid and alkaline polysaccharide hydrolases, can only be engineered genetically by the laborious and time-consuming homologous recombination. In this study, we reported the successful development of a CRISPR/Cas9-based genome editing system with high efficiency for single-gene deletion, large gene fragment deletion and exogenous DNA chromosomal insertion. Moreover, based on a catalytically dead variant of Cas9 (dCas9), we also developed a CRISPRi system to efficiently regulate gene expression. Finally, this efficient genome editing system was successfully applied to engineer the xylose metabolic pathway for the efficient bioproduction of D -lactic acid. Compared with the wild-type Bacillus sp. N16-5, the final engineered strain with XylR deletion and AraE overexpression achieved 34.3% and 27.7% increases in xylose consumption and D -lactic acid production respectively. To our knowledge, this is the first report on the development and application of CRISPR/Cas9-based genome editing system in alkaliphilic Bacillus, and this study will significantly facilitate functional genomic studies and genome manipulation in alkaliphilic Bacillus, laying a foundation for the development of more robust microbial chassis.     

High expression of XYL2 coding for xylitol dehydrogenase is necessary for efficient xylose fermentation by engineered Saccharomyces cerevisiae

The traditional ethanologenic yeast Saccharomyces cerevisiae cannot metabolize xylose, which is an abundant sugar in non-crop plants. Engineering this yeast for a practicable fermentation of xylose will therefore improve the economics of bioconversion for the production of fuels and chemicals such as ethanol. One of the most widely employed strategies is to express XYL1, XYL2, and XYL3 genes derived from Scheffersomyces stipitis (formerly Pichia stiptis) in S. cerevisiae. However, the resulting engineered strains have been reported to exhibit large variations in xylitol accumulation and ethanol yields, generating many hypotheses and arguments for elucidating these phenomena. Here we demonstrate that low expression levels of the XYL2 gene, coding for xylitol dehydrogenase (XDH), is a major bottleneck in efficient xylose fermentation. Through an inverse metabolic engineering approach using a genomic library of S. cerevisiae, XYL2 was identified as an overexpression target for improving xylose metabolism. Specifically, we performed serial subculture experiments after transforming a genomic library of wild type S. cerevisiae into an engineered strain harboring integrated copies of XYL1, XYL2 and XYL3. Interestingly, the isolated plasmids from efficient xylose-fermenting transformants contained XYL2. This suggests that the integrated XYL2 migrated into a multi-copy plasmid through homologous recombination. It was also found that additional overexpression of XYL2 under the control of strong constitutive promoters in a xylose-fermenting strain not only reduced xylitol accumulation, but also increased ethanol yields. As the expression levels of XYL2 increased, the ethanol yields gradually improved from 0.1 to 0.3g ethanol/g xylose, while the xylitol yields significantly decreased from 0.4 to 0.1g xylitol/g xylose. These results suggest that strong expression of XYL2 is a necessary condition for developing efficient xylose-fermenting strains.     

Sequence,Structural and Expression Divergence of Duplicate Genes in the Bovine Genome

Gene duplication is a widespread phenomenon in genome evolution, and it has been proposed to serve as an engine of evolutionary innovation. In the present study, we performed the first comprehensive analysis of duplicate genes in the bovine genome. A total of 3131 putative duplicated gene pairs were identified, including 712 cattle-specific duplicate gene pairs unevenly distributed across the genome, which are significantly enriched for specific biological functions including immunity, growth, digestion, reproduction, embryonic development, inflammatory response, and defense response to bacterium. Around 97.1% (87.8%) of (cattle-specific) duplicate gene pairs were found to have distinct exon-intron structures. Analysis of gene expression by RNA-Seq and sequence divergence (synonymous or non-synonymous) revealed that expression divergence is correlated with sequence divergence, as has been previously observed in other species. This analysis also led to the identification of a subset of cattle-specific duplicate gene pairs exhibiting very high expression divergence. Interestingly, further investigation revealed a significant relationship between structural and expression divergence while controlling for the effect of synonymous sequence divergence. Together these results provide further insight into duplicate gene sequence and expression divergence in cattle, and their potential contributions to phenotypic divergence.     

Optimal growth and ethanol production from xylose by recombinant Saccharomyces cerevisiae require moderate D-xylulokinase activity

D-Xylulokinase (XK) is essential for the metabolism of D-xylose in yeasts. However, overexpression of genes for XK, such as the Pichia stipitis XYL3 gene and the Saccharomyces cerevisiae XKS gene, can inhibit growth of S. cerevisiae on xylose. We varied the copy number and promoter strength of XYL3 or XKS1 to see how XK activity can affect xylose metabolism in S. cerevisiae. The S. cerevisiae genetic background included single integrated copies of P. stipitis XYL1 and XYL2 driven by the S. cerevisiae TDH1 promoter. Multicopy and single-copy constructs with either XYL3 or XKS1, likewise under control of the TDH1 promoter, or with the native P. stipitis promoter were introduced into the recombinant S. cerevisiae. In vitro enzymatic activity of XK increased with copy number and promoter strength. Overexpression of XYL3 and XKS1 inhibited growth on xylose but did not affect growth on glucose even though XK activities were three times higher in glucose-grown cells. Growth inhibition increased and ethanol yields from xylose decreased with increasing XK activity. Uncontrolled XK expression in recombinant S. cerevisiae is inhibitory in a manner analogous to the substrate-accelerated cell death observed with an S. cerevisiae tps1 mutant during glucose metabolism. To bypass this effect, we transformed cells with a tunable expression vector containing XYL3 under the control of its native promoter into the FPL-YS1020 strain and screened the transformants for growth on, and ethanol production from, xylose. The selected transformant had approximately four copies of XYL3 per haploid genome and had moderate XK activity. It converted xylose into ethanol efficiently.     

Improved ethanol production by a xylose-fermenting recombinant yeast strain constructed through a modified genome shuffling method

ABSTRACT: BACKGROUND: Xylose is the second most abundant carbohydrate in the lignocellulosic biomass hydrolysate. The fermentation of xylose is essential for the bioconversion of lignocelluloses to fuels and chemicals. However the wild-type strains of Saccharomyces cerevisiae are unable to utilize xylose. Many efforts have been made to construct recombinant yeast strains to enhance xylose fermentation over the past few decades. Xylose fermentation remains challenging due to the complexity of lignocellulosic biomass hydrolysate. In this study, a modified genome shuffling method was developed to improve xylose fermentation by S. cerevisiae. Recombinant yeast strains were constructed by recursive DNA shuffling with the recombination of entire genome of P. stipitis with that of S. cerevisiae. RESULTS: After two rounds of genome shuffling and screening, one potential recombinant yeast strain ScF2 was obtained. It was able to utilize high concentration of xylose (100 g/L to 250 g/L xylose) and produced ethanol. The recombinant yeast ScF2 produced ethanol more rapidly than the naturally occurring xylose-fermenting yeast, P. stipitis, with improved ethanol titre and much more enhanced xylose tolerance. CONCLUSION: The modified genome shuffling method developed in this study was more effective and easier to operate than the traditional protoplast fusion based method. Recombinant yeast strain ScF2 obtained in this was a promising candidate for industrial cellulosic ethanol production. In order to further enhance its xylose fermentation performance, ScF2 needs to be additionally improved by metabolic engineering and directed evolution.     

Regulatory hotspots are associated with plant gene expression under varying soil phosphorus supply in Brassica rapa

Gene expression is a quantitative trait that can be mapped genetically in structured populations to identify expression quantitative trait loci (eQTL). Genes and regulatory networks underlying complex traits can subsequently be inferred. Using a recently released genome sequence, we have defined cis- and trans-eQTL and their environmental response to low phosphorus (P) availability within a complex plant genome and found hotspots of trans-eQTL within the genome. Interval mapping, using P supply as a covariate, revealed 18,876 eQTL. trans-eQTL hotspots occurred on chromosomes A06 and A01 within Brassica rapa; these were enriched with P metabolism-related Gene Ontology terms (A06) as well as chloroplast- and photosynthesis-related terms (A01). We have also attributed heritability components to measures of gene expression across environments, allowing the identification of novel gene expression markers and gene expression changes associated with low P availability. Informative gene expression markers were used to map eQTL and P use efficiency-related QTL. Genes responsive to P supply had large environmental and heritable variance components. Regulatory loci and genes associated with P use efficiency identified through eQTL analysis are potential targets for further characterization and may have potential for crop improvement.