Sjöberg G, Reķēna A, Fornstad MLahtvee P.J, van Maris A.J.A (2024). Evaluation of enzyme-constrained genome-scale model through metabolic engineering of anaerobic co-production of 2,3-butanediol and glycerol by Saccharomyces cerevisiae. Metab. Eng., DOI:



Monteiro de Oliveira P, Pinheiro M.J, Sabedotti de Biaggi J, Tšitšerin A, Tammekivi E, Herodes K, Bonturi N, Lahtvee P.J (2023). Improving xylose consumption in Rhodotorula toruloides through heterologous expression of xylose reductase and xylulokinase. bioRxiv 2023.05.10.540254

Reķēna A, Pinheiro M.J, Bonturi N, Belouah I, Tammekivi E, Herodes K, Kerkhoven E.J, Lahtvee P.J (2023). Genome-scale metabolic modeling reveals metabolic trade-offs associated with lipid production in Rhodotorula toruloides. PLoS Comput. Biol., DOI:



Kattel A, Morell I, Aro V, Lahtvee P.J, Vilu R, Jõers A, Nahku R (2022). Detailed analysis of metabolism reveals growth-rate-promoting interactions between Anaerostipes caccae and Bacteroides spp. Anaerobe, DOI:

Bonturi N, Pinheiro M.J, Monteiro de Oliveira P, Rusadze E, Eichinger T, Liudžiūtė G, Sabedotti De Biaggi J, Brauer A, Remm M, Alves Miranda E, Ledesma-Amaro R, Lahtvee P.J (2022). Development of a dedicated Golden Gate Assembly platform (RtGGA) for Rhodotorula toruloides. Metab. Eng. Commun., DOI:

Reier K, Lahtvee P.J, Liiv A, Remme J (2022). A conundrum of r-protein stability: unbalanced stoichiometry of r-proteins during stationary phase in Escherichia coli. mBio, DOI:



Monteiro De Oliveira P, Aborneva D, Bonturi N, Lahtvee P.J (2021). Screening and growth characterization of non-conventional yeasts in a hemicellulosic hydrolysate. Front. Bioeng. Biotechnol, DOI: 10.3389/fbioe.2021.659472

Sánchez B.JLahtvee P.JCampbell KKasvandik SYu R, Domenzain I, Zelezniak ANielsen J (2021). Benchmarking accuracy and precision of intensity-based absolute quantification of protein abundances in Saccharomyces cerevisiae. Proteomics, DOI: 10.1002/pmic.202000093

Butelmann T, Priks H, Parent Z, Johnston T.G., Tamm T, Nelson A, Lahtvee P.J, Kumar R (2021). Metabolism Control in 3D-Printed Living Materials Improves Fermentation. ACS Applied Bio Materials.

Illarionov A, Lahtvee P.J, Kumar R (2021) Potassium and sodium salt stress characterization in the yeasts Saccharomyces cerevisiaeKluyveromyces marxianus, and Rhodotorula toruloides. Appl Environ Microbiol 87:e03100-20.



Pinheiro M.J, Bonturi N, Belouah I, Miranda EA, Lahtvee P.J (2020). Xylose Metabolism and the Effect of Oxidative Stress on Lipid and Carotenoid Production in Rhodotorula toruloides: Insights for Future Biorefinery. Front. Bioeng. Biotechnol, DOI: 10.3389/fbioe.2020.01008

Johnston T.G, Fillman J.P, Priks H, Butelmann T, Tamm T, Kumar R, Lahtvee P.J, Nelsson A (2020). Cell‐Laden Hydrogels for Multikingdom 3D Printing. Macromolecular Bioscience, 2000121.

Priks H, Butelmann T, Illarionov A, Johnston TG, Fellin C, Tamm T, Nelsson A, Kumar R, Lahtvee P.J (2020). Physical confinement impacts cellular phenotype within living materials. ACS Applied Bio Materials, DOI: 10.1021/acsabm.0c00335

Kumar RLahtvee P.J (2020). Proteome overabundance enables respiration but limitation onsets carbon overflow. bioRxiv 

Lopes H.J.S, Bonturi N, Miranda E.A (2020). Rhodotorula toruloides Single Cell Oil Production Using Eucalyptus urograndis Hemicellulose Hydrolysate as a Carbon Source. Energies 13(4), 795

Lopes H.J.S, Bonturi N, Kerkhoven E.J, Miranda E.A, Lahtvee P.J (2020). C/N ratio and carbon source-dependent lipid production profiling in Rhodotorula toruloides. Appl. Microbiol. Biotechnol.

Rocha-Meneses L, Otor O.F, Bonturi N, Orupõld K, Kikas T (2020). Bioenergy Yields from Sequential Bioethanol and Biomethane Production: An Optimized Process Flow. Sustainability, 12, 272.



Rocha-Meneses L, Ferreira J.A, Bonturi N, Orupõld K, Kikas T (2019). Enhancing Bioenergy Yields from Sequential Bioethanol and Biomethane Production by Means of Solid-Liquid Separation of the Substrates. Energies, 12, 3683.



Lahtvee P.J, Sánchez B.J, Smialowska A, Kasvandik S, Elsemman I, Gatto F, Nielsen J (2017) Absolute quantification of protein and mRNA abundances demonstrate variability in gene-specific translation efficiency in yeast. Cell Systems 4:495-504.e5

Sánchez B.J, Zhang C, Nilsson A, Lahtvee P.J, Kerkhoven E.J, Nielsen J (2017) Improving the phenotype predictions of a yeast genome-scale metabolic model by incorporating enzymatic constraints. Mol. Syst. Biol., 13:935

Hermano Santos Diniz R, Villada J.C, Tocantins Alvim MC, Pereira Vidigal P.M, Vieira N.M, Lamas-Maceiras M, Esperanza Cerdán M, González-Siso M.I, Lahtvee P.J, Batista da Silveira W (2017) Transcriptome analysis of the thermotolerant yeast Kluyveromyces marxianus CCT 7735 under ethanol stress. Appl. Microbiol. and Biotechnol., doi:10.1007/s00253-017-8432-0

Babazadeh R, Lahtvee P.J, Adiels CB, Goksör M, Nielsen J, Hohmann S (2017) The yeast osmostress response is carbon source dependent. Scientific Reports, 7, 990.

Bonturi N, Crucellob A, Carvalho Vianab A.J, Alves Miranda E (2017) Microbial oil production in sugarcane bagasse hemicellulosic hydrolysate without nutrient supplementation by a Rhodosporidium toruloides adapted strain. Process Biochemistry, 57:16-25.



Lahtvee P.JKumar R, Hallström B.M, Nielsen J (2016) Adaptation to different types of stress converge on mitochondrial metabolism. Molecular Biology of the Cell (MBoC) 27: 2505-2514.



Kerkhoven E.J, Lahtvee P.J, Nielsen J (2015) Applications of computational modeling in metabolic engineering of yeast. FEMS Yeast Research 15: 1-13.

Kumar RLahtvee P.J, Nielsen J (2015) Systems biology: Developments and Applications. Molecular Mechanisms in Yeast Carbon Metabolism, Editors: J. Piskur and C. Compagno. 83-96.



Lahtvee P.J, Seiman A, Arike L, Adamberg K, Vilu R (2014) Protein turnover forms one of the highest maintenance costs in Lactococcus lactis. Microbiology 160: 1501-1512.