Skip to main content
Scientific Reports logoLink to Scientific Reports
. 2014 Dec 2;4:7280. doi: 10.1038/srep07280

Pleiotropy of the de novo-originated gene MDF1

Dan Li 1,*, Zhihui Yan 2, Lina Lu 2, Huifeng Jiang 2,a, Wen Wang 1,b
PMCID: PMC4250933  PMID: 25452167

Abstract

MDF1 is a young de novo-originated gene from a non-coding sequence in baker's yeast, S. cerevisiae, which can suppress mating and promote vegetative growth. Our previous experiments successfully demonstrated how Mdf1p binds to the key mating pathway determinant MATα2 to suppress mating. However, how Mdf1p promotes growth and fulfills the crosstalk between the yeast mating and growth pathways are still open questions. Thus, the adaptive significance of this new de novo gene remains speculative. Here, we show that Mdf1p shortens the lag phase of S. cerevisiae by physically interacting with SNF1, the governing factor for nonfermentable carbon source utilization, and thereby confers a selective advantage on yeasts through the rapid consumption of glucose in the early generational stage in rich medium. Therefore, MDF1 functions in two important molecular pathways, mating and fermentation, and mediates the crosstalk between reproduction and vegetative growth. Together, our results provide a comprehensive example of how a de novo-originated gene organizes new regulatory circuits and thereby confers a selective advantage on S. cerevisiae to allow exquisite adaptation to the changing environment.


The origination of new genes provides pivotal genetic novelties for adaptive innovation of organisms1,2,3. Among all of the molecular mechanisms of gene origination, a number of protein-coding genes that have originated de novo from non-coding sequences have been shown to reshape the landscape of molecular evolution4,5,6. In particular, we previously reported that the de novo gene MDF1 from baker's yeast plays a key role in regulating the yeast mating pathway by binding to MATα27. MDF1 was originally referred to as FYV5, performing a putative function in response to the K1 killer toxin8. Interestingly, we also observed that MDF1 can promote growth, though the detailed mechanism of growth promotion was beyond the scope of our previous study7. The dual functions of MDF1 in two pathways (mating and vegetative growth) indicate a pleiotropic role for this de novo gene. Sexual reproduction benefits a species by eliminating deleterious mutations through meiotic recombination, but mating is energetically costly for vegetative growth9. It has been shown that a growth-rate advantage can be gained by losing signaling at multiple points in the mating pathway10. However, there is little information available regarding the intrinsic molecular mechanism accounting for the trade-off of these two options. MDF1 provides a unique opportunity for studying how two conflicting pathways are coordinated to maximize the adaptive advantage.

In the present work, we filled in the missing piece of the MDF1 growth promotion puzzle and formed a comprehensive picture of how a de novo gene confers an evolutionary advantage by incorporating mating and growth pathways into one molecular network. We clearly demonstrated how MDF1 enhances the effect of the active glucose signaling pathway to achieve advantageous vegetative growth in a rich glucose environment. The complete description of the dual functions of MDF1 provides the first persuasive explanation for the dynamic crosstalk between mating and growth pathways from the aspect of a molecular mechanism.

Results and Discussion

Mdf1p shortens the lag phase of S. cerevisiae

Our previous results showed that Mdf1p is a newly originated key regulator of the mating pathway that acts by binding MATα2 and promoting vegetative growth in S. cerevisiae7. However, the molecular mechanism underlying how MDF1 promotes growth was beyond the scope of our previous study. In this study, to investigate this question in depth, we therefore measured the growth rate of yeast cells every 20 min until growth plateau was reached. Then, we compared OD values between a wild-type strain and an MDF1 strain in which expression was driven by the MDF1 promoter (Methods). Interestingly, in the first two hours, the MDF1 strain significantly outperformed the wild-type strain (Fig. 1A). Thereafter, the growth curves of the MDF1 and wild-type strains paralleled with each other (Supplementary Fig. 1A), indicating that the growth acceleration induced by MDF1 may be restricted to the time window of the first two hours. Indeed, MDF1 began to be expressed at approximately 1 h and reached a peak at approximately 1.5 h, but the expression level of MDF1 was reduced after 2 h (Supplementary Fig. 1B). The fluctuation of the expression of MDF1 was synchronized with a significant increase in the OD at 80 min (Two-tails T-test, P-value<0.001; Fig 1B) in the growth curve, implying a causal link between MDF1 and the growth rate. These results suggest that MDF1 mainly exerts its function in the lag phase when yeasts are transferred to fresh fermentative medium.

Figure 1. MDF1 shortens the lag phase of S. cerevisiae.

Figure 1

(A) Growth curves show that the MDF1 strain driven by its own promoter exhibits a shortened lag phase in YPD medium compared with the wild-type strain. OD values were measured every 30 min for the first two hours. The mean and standard errors were represented in the growth curves. (B) There was a significant increase in the growth rate at 80 min in the MDF1 strain compared with that in the wild-type strain (* indicates Two-tails T-test P-value<0.01).

Mdf1p inhibits Snf1p to promote fermentation

When yeast cells are inoculated into fresh medium, they initially enter a brief lag phase during the first two hours, which is a crucial time for yeast cells to acclimatize to the new environment11. In the lag phase, the yeast cell experiences a delay or a pause of growth on the surface, but rapid adjustment of the yeast physiology to the fresh medium is in fact taking place to ensure optimal growth initiation12. The physiological and metabolic changes that occur during the lag phase are thought to prepare for the upcoming fermentation process because hundreds of fermentation-related genes are up-regulated in the genome13. Having established that MDF1 shortens the lag phase, we hypothesized that MDF1 may enhance fermentation. Indeed, there was no expression of MDF1 detected under non-fermentative conditions in our experiments (Supplementary Fig. 2A), which was consistent with our previous observation that the MDF1 strain presents no growth superiority in non-fermentable medium7. To confirm that MDF1 functions in fermentative medium, our next task was to reveal the molecular mechanism underlying the enhancement of fermentation by MDF1 during the lag phase. Co-IP assays were conducted using the MDF1-overexpressing strain to search for the factor(s) interacting with Mdf1p. Interestingly, a potential interaction partner, Snf1p, was repeatedly identified via MALDI-TOF/TOF (expect P-value <1.3 × 10−10) (Supplementary Figure 2B). To verify the interaction between Mdf1p and Snf1p, the products of the Mdf1p Co-IP assay were tested using a Snf1p antibody in vivo. Western blotting revealed the existence of Snf1p in the Co-IP products (Figure 2A), which firmly demonstrated that Mdf1p interacts with Snf1p in the lag phase. The interaction was further validated in a yeast two-hybrid assay, in which Mdf1p was fused to the DNA-binding domain of Gal4 (DB) and Snf1p to the activation domain of Gal4 (AD) (Supplementary Figure 2C). Taken together, the results obtained demonstrate the interaction between Mdf1p and Snf1p.

Figure 2. Inhibition of Snf1p by Mdf1p is responsible for the promotion of fermentation.

Figure 2

(A) A Co-IP assay using an Mdf1p-3HA-tagged overexpression strain confirmed that Mdf1p and Snf1p interact in lag phase. The resultant Co-IP products were tested via western blotting using a Snf1p antibody, and 10% yeast samples before precipitation were used as an input control. (B) The expression levels of all of the glucose-repressed genes in the MDF1 strain were reduced in comparison with the wild-type strain in quantitative RT-PCR assays. ACT1 was used as an internal control.

Snf1p is a governing factor in the transition from fermentative to respiratory growth in S. cerevisiae14,15. Snf1p leads to efficient de-repression of downstream glucose-repressed genes when glucose becomes limited16. Yeast cells thereby switch from fermentative growth to respiratory growth to utilize alternative carbon sources17,18. Given that Mdf1p facilitates fermentation, whereas Snf1p guides the non-fermentative pathway, we hypothesized that Mdf1p imposes negative regulation on Snf1p. To determine whether the Mdf1p-Snf1p interaction could inhibit the activity of Snf1p, we measured the expression levels of glucose-repressed genes, including ICL1, FBP1, PCK1, ACS1, and MLS1, which are activated by Snf1p16. All of the glucose-repressed genes displayed decreased expression levels in quantitative RT-PCR assays conducted in the MDF1 strain (Fig. 2B), suggesting that the binding of Mdf1p and Snf1p produces an inhibitory effect on glucose-repressed genes. Taken these findings together, we proposed that the newly evolved MDF1 gene integrated into the yeast glucose signaling pathway to speed up glucose utilization and fermentative growth via physically suppressing Snf1p. Fermentation as a preferred mode of resource consumption has particularly important significance in promoting the growth of yeasts. It has been shown that under aerobic conditions with an ample available carbon source such as glucose, baker's yeast predominantly conducts fermentation to generate energy for rapid cellular growth, though the yield of ATP is lower than during respiration19,20. The speed of resource intake matters much more than the efficiency of energy production when glucose is sufficient. Therefore, by accelerating glucose consumption, Mdf1p puts yeasts in an advantageous position in competing with other microbes present in the same environment.

MDF1 physically connects the growth pathway with the mating pathway

In our previous study, we revealed that Mdf1p was capable of suppressing yeast mating behavior by binding one of the yeast mating type determinants, MATα2, which would subsequently shut down the mating pathway7. In the present study, we discovered that Mdf1p could speed up vegetative growth through physically inhibiting the fermentation-suppressing factor Snf1p. Based on the evidence obtained thus far, we extended the previously proposed model7 concerning the established functions of Mdf1p in the mating and growth pathways (Figure 3): initially, especially after the recovery of haploid cells from growth arrest under unfavorable conditions, vegetative proliferation is advantageous for rapid resource consumption. Mdf1p enhances the effect of activating the glucose signaling pathway to speed up glucose metabolism and simultaneously suppresses the activity of the opposing mating pathway to limit the cost of mating.

Figure 3. A model for the dual roles of MDF1 in the mating and growth pathways.

Figure 3

Promotion of vegetative growth can be achieved through two converging pathways: Mdf1p binds to the MATα2 protein to cooperatively inhibit haploid-specific genes that encode key components of the mating pathway (MAPK pathway) and thereby suppresses the mating behavior of budding yeast to limit the cost of mating, as revealed in a previous study by our group; and Mdf1p binds to Snf1p to turn off glucose-repressed genes and turn on glucose-induced genes, thus enhancing the activity of the glucose signaling pathway.

Yeasts can reproduce both sexually and asexually. Natural selection can favor either vegetative fitness or the mating ability under different conditions and a negative correlation between these two traits has been proposed21. The dual roles of Mdf1p in mating and growth may help to explain the molecular link between these two conflicting options. Additionally, by mediating the trade-off between mating and vegetative growth, MDF1 potentially provides an example of antagonistic pleiotropy, in which a gene is beneficial in one condition, but detrimental in another22,23,24,25. A genome-wide survey of antagonistic pleiotropy genes was recently performed in yeasts26. The prevalence of antagonistic pleiotropy genes in the yeast genome was beyond previous expectations. Regulatory resolution at the transcriptional level was proposed to explain the antagonistic pleiotropy genes found in the genomes. The identification of protein-protein interactions is another key index of pleiotropic characteristics27,28. We found that Mdf1p could retain antagonistic pleiotropy by interacting with different partners in two functionally conflicting pathways, where it interacts with MATα2 to repress the mating pathway and binds to Snf1p to promote the growth pathway. Delineation of the functional evolution of the MDF1 gene not only provides a vivid example of how a de novo gene can play pivotal roles in important biological processes, resulting in adaptation, but also demonstrates a novel molecular mechanism to explain the antagonistic pleiotropy between the mating and growth pathways according to a molecular mechanism.

Methods

Yeast strains and growth conditions

The strain of S. cerevisiae used for all genetic manipulations in this study was BY4742 (MATα his3Δ1 leu2Δ0 lys2Δ0 ura3Δ0), provided by Prof. Jin-Qiu Zhou of the Shanghai Institutes for Biological Sciences. Cells were grown in standard fermentative YPD medium containing 1% yeast extract, 2% peptone, and 2% glucose at 3°C. For the marker-bearing strains, SD-Ura, SD-Trp or SD-His29 was used for selection.

Growth rate assay

The details of the generation of the MDF1 strain driven by its own promoter (previously referred to as the M+A-strain) were described by Li et al.7. Growth curves for the yeast strains were generated using a Bio photometer (Eppendorf). The cultured MDF1 strain and the wide-type strain were diluted to 0.1 ± 0.01 OD independently. OD values were measured every 30 min for the first two hours and then every 1 h until 4 h. The experiments were repeated five times. Student's t-test was used to test the difference of growth rates among multiple time-points.

Co-immunoprecipitation assays

A total of 100 OD yeast cells overexpressing either 6xHis or HA-tagged Mdf1p were lysed in 500 μl of lysis buffer (50 mM Tris-HCl (pH 7.5), 150 mM NaCl, 1 mM EDTA, 1 mM PMSF, protease inhibitor cocktail (Roche), 0.2 mM Na3VO4, 100 mM NaF, 0.2% NP-40) via beating with glass beads, followed by centrifugation at 12000 g for 5 min at 4°C. The 1 ml supernatant was pre-cleared with 5 μl of protein-G agarose (Santa Cruz). An anti-His or HA mouse monoclonal antibody (R&D systems) was added at a dilution of 1:100, followed by overnight incubation at 4°C with mild shaking. Then, 20 μl of protein-G agarose was added, followed by incubation for 1 h and centrifugation at 850 g for 10 min at 4°C. The beads were washed three times with lysis buffer and an additional three times with wash buffer. After the final wash, the beads were boiled for 5 min in 50 μl of SDS-PAGE loading buffer. As a negative control, wild-type yeast cells (100 OD) were also treated according to the method described above. A 20 μl immunoprecipitation sample obtained from the 6xHis-tagged Mdf1p strain and a control sample were analyzed via SDS-PAGE. The gel was visualized by silver staining with the PlusOneTM silver stain kit (GE healthcare). Compared with the control, the significant and repeatable unique band was analyzed through MALDI-TOF/TOF. The samples obtained from the HA-tagged Mdf1p strain and the control strain were analyzed by western blotting using an Snf1p antibody (Santa Cruz).

Yeast two-hybrid assays

All procedures essentially followed the Yeast Protocols handbook (Clontech). Briefly, the coding sequence of MDF1 was fused to the DNA-binding domain of Gal4 (DB), and the coding sequence of SNF1 was fused to the activation domain of Gal4 (AD). Then, these two plasmids were co-transformed to identify interactions or were transformed separately as negative controls into the host strain Y190 (MATa, gal4-542, gal80-538, his3, trp1-901, ade2-101, ura3-52, leu2-3, 112, URA3::GAL1-LacZ, LYS2::GAL1-HIS3cyhr). After selection on SD-Trp-Leu-His plates, 5-Bromo-4-chloro-3-indoly-β-D-galactoside (X-gal) was added to evaluate the strength of the interaction.

Quantitative RT-PCR

Quantitative RT-PCR primers were designed for the glucose-repressed genes, ICL1, FBP1, PCK1, ACS1, and MLS1, respectively. Quantitative RT-PCR assays were performed in triplicate in a 96-well plate in a Bio-Rad iCycler iQ Real-Time PCR Detection System (Bio-Rad) using iQSYBR Green Supermix (Bio-Rad), according to the manufacturer's recommended protocol. The CT values of each sample were acquired with iCycler iQ software 3.0 (Bio-Rad). Specific primers for ACT1 were used as an internal control. The initial 150 bp of the coding sequence were employed to quantify each of the selected genes.

Author Contributions

D.L., H.J. and W.W. designed the experiments. D.L., Y.Z. and L.L. performed most of the experiments and data analysis. D.L., Y.Z., H.J. and W.W. wrote the paper.

Supplementary Material

Supplementary Information

Supplement information

srep07280-s1.docx (579.3KB, docx)

Acknowledgments

We thank Dr. Jin-Qiu Zhou of the Shanghai Institute of Biological Sciences for providing the yeast strains and Dr. Pierre Zwiegers and Ms. Jessica Morrison in the University of British Columbia for English language editing of this manuscript. This work was supported by funds from a 973 Program (2011CBA00805) and a Tianjin Sci-tech Support Program (11ZCKFSY08000) granted to H.J. and an NSFC key grant (No. 30930056), 973 Program funds (No. 2007CB815700) and a CAS-Max Planck Society Fellowship granted to W.W.

References

  1. Long M., Betran E., Kevin T. & Wang W. Origin of new genes: Glimpses from the young and old. Nat. Rev. Genet. 4, 856–875 (2003). [DOI] [PubMed] [Google Scholar]
  2. Zhou Q., Zhang G. & Zhang Y. et al. On the origin of new genes in Drosophila. Genome Res. 18, 1446–1455 (2008). [DOI] [PMC free article] [PubMed] [Google Scholar]
  3. Tautz D. & Domazet-Loso T. The evolutioanry origin of orphan genes. Nat. Rev. Genet. 12, 629–702 (2011). [DOI] [PubMed] [Google Scholar]
  4. Levine M. T. & Jones C. D. et al. Novel genes derived from noncoding DNA in Drosophila melanogaster are frequently X-linked and exhibit testis-biased expression. Proc. Natl. Acad. Sci. USA 103, 9935–9939 (2006). [DOI] [PMC free article] [PubMed] [Google Scholar]
  5. Zhou Q. & Wang W. On the origin and evolution of new genes—a genomic and experimental perspective. J. Genet. Genomics 35, 639–648 (2008). [DOI] [PubMed] [Google Scholar]
  6. Cai J., Zhao R. P., Jiang H. F. & Wang W. De Novo Origination of a New Protein-Coding Gene in Saccharomyces cerevisiae. Genetics 179, 487–496 (2008). [DOI] [PMC free article] [PubMed] [Google Scholar]
  7. Li D. et al. A de novo originated gene depresses budding yeast mating pathway and is repressed by the protein encoded by its antisense strand. Cell Res. 20, 408–420 (2010). [DOI] [PubMed] [Google Scholar]
  8. Page N. et al. A Saccharomyces cerevisiae genome-wide mutant screen for altered sensitivity to K1 killer toxin. Genetics 163, 875–894 (2003). [DOI] [PMC free article] [PubMed] [Google Scholar]
  9. Xu J. Cost of interacting with sexual partners in a facultative sexual microbe. Genetics 171, 1597–1604 (2005). [DOI] [PMC free article] [PubMed] [Google Scholar]
  10. Lang G. I., Murray A. W. & Botstein D. The cost of gene expression underlies a fitness trade-off in yeast. Proc. Natl. Acad. Sci. USA 106, 5755–5760 (2009). [DOI] [PMC free article] [PubMed] [Google Scholar]
  11. Ma P. S., Goncalves T., Maretzek A., Dias M. C. L. & Thevelein J. M. The lag phase rather than the exponential-growth phase on glucose is associated with a higher cAMP level in wild-type and cAPK-attenuated strains of the yeast Saccharomyces cerevisiae. Microbiology 143, 3451–3459 (1997). [DOI] [PubMed] [Google Scholar]
  12. Brejning J., Arneborg N. & Jespersen L. Identification of genes and proteins induced during the lag and early exponential phase of lager brewing yeasts. J. Appl. Microbiol. 98, 261–71 (2005). [DOI] [PubMed] [Google Scholar]
  13. Brejning J., Jespersen L. & Arneborg N. Genome-wide transcriptional changes during the lag phase of Saccharomyces cerevisiae. Arch. Microbiol. 179, 278–294 (2003). [DOI] [PubMed] [Google Scholar]
  14. Gao G. et al. Catalytic subunits of the porcine and rat 5′-AMP-activated protein kinase are members of the SNF1 protein kinase family. Biochim. Biophys. Acta. 1266, 73–82 (1995). [DOI] [PubMed] [Google Scholar]
  15. Conrad M. et al. Nutrient sensing and signaling in the yeast Saccharomyces cerevisiae. FEMS Microbiol. Rev. 38, 254–99 (2014). [DOI] [PMC free article] [PubMed] [Google Scholar]
  16. Gancedo J. M. Carbon catabolite repression in yeast. Eur. J. Biochem. 206, 297–313 (1992). [DOI] [PubMed] [Google Scholar]
  17. Celenza J. L. & Carlson M. A yeast gene that is essential for release from glucose repression encodes a protein kinase. Science 233, 1175–1180 (1986). [DOI] [PubMed] [Google Scholar]
  18. Ronne H. Glucose repression in fungi. Trends Genet. 11, 12–7 (1995). [DOI] [PubMed] [Google Scholar]
  19. DeRisi J. L., Iyer V. R. & Brown P. O. Exploring the metabolic and genetic control of gene expression on a genomic scale. Science 278, 680–6 (1997). [DOI] [PubMed] [Google Scholar]
  20. Pfeiffer T., Schuster S. & Bonhoeffer S. Cooperation and competition in the evolution of ATP-producing pathways. Science 292, 504–7 (2001). [DOI] [PubMed] [Google Scholar]
  21. Zeyl C. & Bell G. The advantage of sex in evolving yeast populations. Nature 388, 465–468 (1997). [DOI] [PubMed] [Google Scholar]
  22. Williams G. C. Pleiotropy, natural selection, and the evolution of senescence. Evolution 11, 398–411 (1957). [Google Scholar]
  23. Innocenti P. & Morrow E. H. The sexually antagonistic genes of Drosophila melanogaster. PLoS Biol. 8, e1000335 (2010). [DOI] [PMC free article] [PubMed] [Google Scholar]
  24. Carter A. J. & Nguyen A. Q. Antagonistic pleiotropy as a widespread mechanism for the maintenance of polymorphic disease alleles. BMC Med. Genet. 12, 160 (2011). [DOI] [PMC free article] [PubMed] [Google Scholar]
  25. Hill J. A. & Otto S. P. The role of pleiotropy in the maintenance of sex in yeast. Genetics 175, 1419–27 (2007). [DOI] [PMC free article] [PubMed] [Google Scholar]
  26. Qian W. et al. The genomic landscape and evolutionary resolution of antagonistic pleiotropy in yeast. Cell Rep. 2, 1399–410 (2012). [DOI] [PMC free article] [PubMed] [Google Scholar]
  27. Romislow D. E. Protein networks, pleiotropy and the evolution of senescence. Proc. Biol. Sci. 271, 1225–34 (2004). [DOI] [PMC free article] [PubMed] [Google Scholar]
  28. He X. & Zhang J. Toward a Molecular Understanding of Pleiotropy. Genetics 173, 1885–91 (2006). [DOI] [PMC free article] [PubMed] [Google Scholar]
  29. Nosaka K. et al. Isolation and Characterization of a Thiamin Pyrophosphokinase Gene, Thi80, from Saccharomyces-Cerevisiae. J. Biol. Chem. 268, 17440–47 (1993). [PubMed] [Google Scholar]

Associated Data

This section collects any data citations, data availability statements, or supplementary materials included in this article.

Supplementary Materials

Supplementary Information

Supplement information

srep07280-s1.docx (579.3KB, docx)

Articles from Scientific Reports are provided here courtesy of Nature Publishing Group

RESOURCES