Coe, A., Parker, S. M., Vo, N. N., Kearney, S. M., Pollak, S., von Emster, K., Mullet, J. I., Castro, K. G. & Chisholm, S. W.
Influence of heterotrophs on phage infection of marine picocyanobacteria
mSystems. 2026 Jul.
Yu, X. A., Strachan, C. R., Herbold, C. W., Lang, M., Gasche, C., Makristathis, A., Segata, N., Pollak, S., Tett, A. & Polz, M. F.
Genome-wide sweeps create ecological units in the human gut microbiome
Nature. 2026 May.
Seki, D., Pollak, S., Kujawska, M., Kiu, R., Acuna-Gonzalez, A., Crouch, L. I., Bakshani, C. R., Chivers, P. T., Mommers, M., Van Best, N., Penders, J. & Hall, L. J.
Human milk oligosaccharide mediates mutualism between escherichia coli and bifidobacterium bifidum.
Nature Communications. 2026 Apr.
Chen, S.-C., Li, X.-M., Battisti, N., Guan, G., Montoya, M. A., Osvatic, J., Pjevac, P., Pollak, S., Richter, A., Schintlmeister, A., Wanek, W., Mussmann, M. & Loy, A.
Microbial iron oxide respiration coupled to sulfide oxidation.
Nature. 2025 Aug.
Becker, J. W., Pollak, S., Berta-Thompson, J. W., Becker, K. W., Braakman, R., Dooley, K. D., Hackl, T., Coe, A., Arellano, A., LeGault, K. N., Berube, P. M., Biller, S. J., Cubillos-Ruiz, A., Van Mooy, B. A. S. & Chisholm, S. W.
Mbio. 2024 Nov.
Guseva, K., Mohrlok, M., Alteio, L., Schmidt, H., Pollak, S. & Kaiser, C.
Bacteria face trade-offs in the decomposition of complex biopolymers
PLOS Computational Biology. 2024 Aug.
Shan, X., Wasson, P. A., Rao, Y., Backer, S., Leal, L., Albright, V. C., Gao, W., Chai, Y., Sichert, A., Pollak, S., Yin, L. & Cordero, O. X.
Simple genomic traits predict rates of polysaccharide biodegradation
Environmental Science & Technology. 2024 Jul.
Bareia, T., Pollak, S., Guler, P., Puyesky, S. & Eldar, A.
Microbiology. 2023 Sep.
Gralka, M., Pollak, S. & Cordero, O. X.
Genome content predicts the carbon catabolic preferences of heterotrophic bacteria.
Nature Microbiology. 2023 Aug.
Szabo, R. E., Pontrelli, S., Grilli, J., Schwartzman, J. A., Pollak, S., Sauer, U. & Cordero, O. X.
PNAS. 2022 Jul.
Pontrelli, S., Szabo, R., Pollak, S., Schwartzman, J., Ledezma-Tejeida, D., Cordero, O. X. & Sauer, U.
Metabolic cross-feeding structures the assembly of polysaccharide degrading communities.
Science Advances. 2022 Feb.
Pollak, S., Gralka, M., Sato, Y., Schwartzman, J., Lu, L. & Cordero, O. X.
Public good exploitation in natural bacterioplankton communities.
Science Advances. 2021 Jul.
Liao, J., Guo, X., Weller, D. L., Pollak, S., Buckley, D. H., Wiedmann, M. & Cordero, O. X.
Nature Microbiology. 2021 Jul.
Pollak, S. & Cordero, O. X.
Rhizobiome shields plants from infection. (commentary)
Nature Microbiology 2020 Aug.
Ben-Zion, I., Pollak, S. & Eldar, A.
Clonality and non-linearity drive facultative-cooperation allele diversity.
The ISME journal. 2019 Mar.
Bareia T., Pollak, S., Eldar A.
Self-sensing in Bacillus subtilis quorum-sensing systems.
Nature Microbiology. 2018 Jan.
Even-Tov, E., Omer Bendori, S., Pollak, S. & Eldar, A.
PLoS Biol. 2016 Dec.
Even-Tov, E., Omer Bendori, S., Valastyan, J., Ke, X., Pollak, S., Bareia, T., Ben-Zion, I., Bassler, B. L. & Eldar, A.
Social Evolution Selects for Redundancy in Bacterial Quorum Sensing.
PLoS Biol. 2016 Feb.
Pollak, S., Omer-Bendori, S., Even-Tov, E., Lipsman, V., Bareia, T., Ben-Zion, I. & Eldar, A.
Facultative cheating supports the coexistence of diverse quorum-sensing alleles.
PNAS. 2016 Feb 23;113(8):2152-7.
Commentary by Pérez-Escudero A., Gore J.
Selection favors incompatible signaling in bacteria.
PNAS 2016 Feb.
Pollak, S., Omer Bendori, S. & Eldar, A.
A complex path for domestication of B. subtilis sociality.
Current Genetics. 2015 Nov.
Omer Bendori, S., Pollak, S., Hizi, D. & Eldar, A.
J Bacteriol. 2014 Nov.
Halimi, Y., Dessau, M., Pollak, S., Ast, T., Erez, T., Livnat-Levanon, N., Karniol, B., Hirsch, J. A. & Chamovitz, D. A.
Plant Mol Biol. 2011 Sep.
Sichert, A., Pollak, S., Goyal, A., Cordero, O. & Sauer, U.
A division of labor controls the degradation of fucoidans in the ocean.
bioRxiv. 2025 Aug.
Lopatina, A., Ferenc, M., Bartlau, N., Wolfram, M., Steensen, K., Muscia, S., Hussain, F., Schnurer, M., Afjehi-Sadat, L., Pollak, S. & Polz, M. F.
Interpretable machine learning reveals a diverse arsenal of anti-defenses in bacterial viruses.
bioRxiv. 2024 Jun.