The DOI matches its Crossref record; 130 of the 132 references it cites were found in a registry or an index.
Adaptation of Saccharomyces cerevisiae to saline stress through laboratory evolution
Open accessAbstract
Most laboratory evolution studies that characterize evolutionary adaptation genomically focus on genetically simple traits that can be altered by one or few mutations. Such traits are important, but they are few compared with complex, polygenic traits influenced by many genes. We know much less about complex traits, and about the changes that occur in the genome and in gene expression during their evolutionary adaptation. Salt stress tolerance is such a trait. It is especially attractive for evolutionary studies, because the physiological response to salt stress is well‐characterized on the molecular and transcriptome level. This provides a unique opportunity to compare evolutionary adaptation and physiological adaptation to salt stress. The yeast Saccharomyces cerevisiae is a good model system to study salt stress tolerance, because it contains several highly conserved pathways that mediate the salt stress response. We evolved three replicate lines of yeast under continuous salt (NaCl) stress for 300 generations. All three lines evolved faster growth rate in high salt conditions than their ancestor. In these lines, we studied gene expression changes through microarray analysis and genetic changes through next generation population sequencing. We found two principal kinds of gene expression changes, changes in basal expression (82 genes) and changes in regulation (62 genes). The genes that change their expression involve several well‐known physiological stress‐response genes, including CTT1, MSN4 and HLR1. Next generation sequencing revealed only one high‐frequency single‐nucleotide change, in the gene MOT2, that caused increased fitness when introduced into the ancestral strain. Analysis of DNA content per cell revealed ploidy increases in all the three lines. Our observations suggest that evolutionary adaptation of yeast to salt stress is associated with genome size increase and modest expression changes in several genes.
Overview
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
In the citing paper
“Finally, another example of nutrient stress selection in S. cerevisiae showed that sulfate limitation led to mutations affecting TOR signaling via an RRN3 mutation and a genomic amplification of the high-affinity sulfate transporter SUL1[103].”
From Adaptive laboratory evolution—Principles and applications for biotechnology (2013) · cites this paper as [103]
Citations
Cites
1 retracted
A highly conserved kinase is an essential component for stress tolerance in yeast and plant cells
Lee, J. H., MONTAGU, M. V., & Verbruggen, N. (1999) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.96.10.5873 · Cited by 77
RetractedBasic local alignment search tool
Altschul, S. F., Gish, W., Miller, W., Myers, E. W., & Lipman, D. J. (1990) · Journal of Molecular Biology · doi:10.1006/jmbi.1990.9999 · Cited by 98,669
MUSCLE: multiple sequence alignment with high accuracy and high throughput
Edgar, R. C. (2004) · Nucleic Acids Research · doi:10.1093/nar/gkh340 · Cited by 44,662
Finding the missing heritability of complex diseases
Manolio, T. A., Collins, F. S., Cox, N. J., Goldstein, D. B., Hindorff, L. A., Hunter, D. J., McCarthy, M. I., Ramos, E. M., Cardon, L. R., Chakravarti, A., et al. (2009) · Nature · doi:10.1038/nature08494 · Cited by 8,336
Genome sequencing in microfabricated high-density picolitre reactors
Margulies, M., Egholm, M., Altman, W. E., Attiya, S., Bader, J. S., Bemben, L. A., Berka, J., Braverman, M. S., Chen, Y.-J., Chen, Z., et al. (2005) · Nature · doi:10.1038/nature03959 · Cited by 7,693
S ALT AND D ROUGHT S TRESS S IGNAL T RANSDUCTION IN P LANTS
Zhu, J. (2002) · Annual Review of Plant Biology · doi:10.1146/annurev.arplant.53.091401.143329 · Cited by 5,808
Genomic Expression Programs in the Response of Yeast Cells to Environmental Changes
Gasch, A. P., Spellman, P. T., Kao, C. M., Carmel-Harel, O., Eisen, M. B., Storz, G., Botstein, D., & Brown, P. O. (2000) · Molecular Biology of the Cell · doi:10.1091/mbc.11.12.4241 · Cited by 4,815
P LANT C ELLULAR AND M OLECULAR R ESPONSES TO H IGH S ALINITY
Hasegawa, P. M., Bressan, R. A., Zhu, J., & Bohnert, H. J. (2000) · Annual Review of Plant Physiology and Plant Molecular Biology · doi:10.1146/annurev.arplant.51.1.463 · Cited by 4,596
Common SNPs explain a large proportion of the heritability for human height
Yang, J., Benyamin, B., McEvoy, B. P., Gordon, S., Henders, A. K., Nyholt, D. R., Madden, P. A., Heath, A. C., Martin, N. G., Montgomery, G. W., et al. (2010) · Nature Genetics · doi:10.1038/ng.608 · Cited by 4,446
Hindorff, L. A., Sethupathy, P., Junkins, H. A., Ramos, E. M., Mehta, J. P., Collins, F. S., & Manolio, T. A. (2009) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.0903103106 · Cited by 4,013
Research works printed but not linked: 3
- 10.1016/S0022-2836(05)80360-2 · DOI · Paper page
- Noggle R., 1946, The physiology of polyploidy in plants. I. Review of the literature, Lloydia, 9, 153
- Sambrook J., 2001, Molecular Cloning: A Laboratory Manual
Cited by
Sorted by citations
Adaptive laboratory evolution—Principles and applications for biotechnology
Dragosits, M., & Mattanovich, D. (2013) · Microbial Cell Factories · doi:10.1186/1475-2859-12-64 · Cited by 827
Kawecki, T. J., Lenski, R. E., Ebert, D., Hollis, B., Olivieri, I., & Whitlock, M. C. (2012) · Trends in Ecology & Evolution · doi:10.1016/j.tree.2012.06.001 · Cited by 807
Gene duplication as a mechanism of genomic adaptation to a changing environment
Kondrashov, F. A. (2012) · Proceedings of the Royal Society B Biological Sciences · doi:10.1098/rspb.2012.1108 · Cited by 663
Contingency and determinism in evolution: Replaying life’s tape
Blount, Z. D., Lenski, R. E., & Losos, J. B. (2018) · Science · doi:10.1126/science.aam5979 · Cited by 590
Sandberg, T. E., Salazar, M. J., Weng, L. L., Palsson, B. Ø., & Feist, A. M. (2019) · Metabolic Engineering · doi:10.1016/j.ymben.2019.08.004 · Cited by 585
Escherichia coli as a host for metabolic engineering
Pontrelli, S., Chiu, T., Lan, E. I., Chen, F. Y.-H., Chang, P., & Liao, J. C. (2018) · Metabolic Engineering · doi:10.1016/j.ymben.2018.04.008 · Cited by 397
Adaptation and Evolutionary Rescue in Metapopulations Experiencing Environmental Deterioration
Bell, G., & Gonzalez, A. (2011) · Science · doi:10.1126/science.1203105 · Cited by 390
Salt Tolerance in Rice: Focus on Mechanisms and Approaches
Reddy, I. N. B. L., Kim, B.-K., Yoon, I.-S., Kim, K.-H., & Kwon, T.-R. (2017) · Rice Science · doi:10.1016/j.rsci.2016.09.004 · Cited by 386
Gostinčar, C., Ohm, R. A., Kogej, T., Sonjak, S., Turk, M., Zajc, J., Zalar, P., Grube, M., Sun, H., Han, J., et al. (2014) · BMC Genomics · doi:10.1186/1471-2164-15-549 · Cited by 379
Adaptive laboratory evolution principles and applications in industrial biotechnology
Mavrommati, M., Daskalaki, A., Papanikolaou, S., & Aggelis, G. (2021) · Biotechnology Advances · doi:10.1016/j.biotechadv.2021.107795 · Cited by 272
The biology of habitat dominance; can microbes behave as weeds?
Cray, J. A., Bell, A. N. W., Bhaganna, P., Mswaka, A. Y., Timson, D. J., & Hallsworth, J. E. (2013) · Microbial Biotechnology · doi:10.1111/1751-7915.12027 · Cited by 279
Álvarez, M., Schrey, A. W., & Richards, C. L. (2014) · Molecular Ecology · doi:10.1111/mec.13055 · Cited by 248
Polyploidy in fungi: evolution after whole-genome duplication
Albertin, W., & Marullo, P. (2012) · Proceedings of the Royal Society B Biological Sciences · doi:10.1098/rspb.2012.0434 · Cited by 248
Zymomonas mobilis: a novel platform for future biorefineries
He, M., Wu, B., Qin, H., Ruan, Z., Tan, F., Wang, J., Shui, Z., Dai, L., Zhu, Q., Pan, K., et al. (2014) · Biotechnology for Biofuels · doi:10.1186/1754-6834-7-101 · Cited by 203
The Ty1 LTR-Retrotransposon of Budding Yeast,Saccharomyces cerevisiae
Curcio, M. J., Lutz, S., & Lesage, P. (2015) · Microbiology Spectrum · doi:10.1128/microbiolspec.mdna3-0053-2014 · Cited by 217
Size Does Matter: Why Polyploid Tumor Cells are Critical Drug Targets in the War on Cancer
Coward, J. I. G., & Harding, A. S. (2014) · Frontiers in Oncology · doi:10.3389/fonc.2014.00123 · Cited by 197
Banerjee, G., Car, S., Scott‐Craig, J. S., Hodge, D. B., & Walton, J. D. (2011) · Biotechnology for Biofuels · doi:10.1186/1754-6834-4-16 · Cited by 186
Tilloy, V., Ortiz-Julien, A., & Dequin, S. (2014) · Applied and Environmental Microbiology · doi:10.1128/aem.03710-13 · Cited by 185
Evolutionary rescue and adaptation to abrupt environmental change depends upon the history of stress
Gonzalez, A., & Bell, G. (2012) · Philosophical Transactions of the Royal Society B Biological Sciences · doi:10.1098/rstb.2012.0079 · Cited by 142
Das, P., Nutan, K. K., Singla-Pareek, S. L., & Pareek, A. (2015) · Frontiers in Plant Science · doi:10.3389/fpls.2015.00712 · Cited by 141
Dhar, R., Sägesser, R., Weikert, C., & Wagner, A. (2013) · Molecular Biology and Evolution · doi:10.1093/molbev/mss253 · Cited by 126
Self-citationDynamic Large-Scale Chromosomal Rearrangements Fuel Rapid Adaptation in Yeast Populations
Chang, S., Lai, H.-Y., Tung, S., & Leu, J. (2013) · PLoS Genetics · doi:10.1371/journal.pgen.1003232 · Cited by 131
DeBiasse, M. B., & Kelly, M. W. (2015) · Journal of Heredity · doi:10.1093/jhered/esv073 · Cited by 131
Genome duplication improves rice root resistance to salt stress
Tu, Y., Jiang, A., Gan, L., Hossain, M. M., Zhang, J., Peng, B., Xiong, Y., Song, Z., Cai, D., Xu, W., et al. (2014) · Rice · doi:10.1186/s12284-014-0015-4 · Cited by 117
SHIFTING FITNESS LANDSCAPES IN RESPONSE TO ALTERED ENVIRONMENTS
Hietpas, R. T., Bank, C., Jensen, J. D., & Bolon, D. N. A. (2013) · Evolution · doi:10.1111/evo.12207 · Cited by 116
Zimmer, A., Durand, C., Loira, N., Durrens, P., Sherman, D. J., & Marullo, P. (2014) · PLoS ONE · doi:10.1371/journal.pone.0086298 · Cited by 124
Lenassi, M., Gostinčar, C., Jackman, S. D., Turk, M., Sadowski, I., Nislow, C., Jones, S. J. M., Birol, İ., Cimerman, N. G., & Plemenitaš, A. (2013) · PLoS ONE · doi:10.1371/journal.pone.0071328 · Cited by 105
Current status and future prospective of bio-ethanol industry in China
Wu, B., Wang, Y., Dai, Y., Song, C., Zhu, Q., Qin, H., Tan, F., Chen, C., Dai, L., Hu, G., et al. (2021) · Renewable and Sustainable Energy Reviews · doi:10.1016/j.rser.2021.111079 · Cited by 96
Too Much of a Good Thing: The Unique and Repeated Paths Toward Copper Adaptation
Gerstein, A. C., Ono, J., Lo, D. S., Campbell, M. L., Kuzmin, A., & Otto, S. P. (2014) · Genetics · doi:10.1534/genetics.114.171124 · Cited by 90
Bigey, F., Segond, D., Friedrich, A., Guézenec, S., Bourgais, A., Huyghe, L., Agier, N., Nidelet, T., & Sicard, D. (2020) · Current Biology · doi:10.1016/j.cub.2020.11.016 · Cited by 93
Evolution reveals a glutathione-dependent mechanism of 3-hydroxypropionic acid tolerance
Kildegaard, K. R., Hallström, B. M., Blicher, T. H., Sonnenschein, N., Jensen, N. B., Sherstyk, S., Harrison, S. J., Maury, J., Herrgård, M. J., Juncker, A. S., et al. (2014) · Metabolic Engineering · doi:10.1016/j.ymben.2014.09.004 · Cited by 83
Oud, B., Maris, A. J. A., Daran, J.-M., & Pronk, J. T. (2012) · FEMS Yeast Research · doi:10.1111/j.1567-1364.2011.00776.x · Cited by 82
Shui, Z.-X., Qin, H., Wu, B., Ruan, Z., Wang, L.-S., Tan, F., Wang, J., Tang, X., Dai, L., Hu, G., et al. (2015) · Applied Microbiology and Biotechnology · doi:10.1007/s00253-015-6616-z · Cited by 80
Biotechnological Importance of Torulaspora delbrueckii: From the Obscurity to the Spotlight
Fernandes, T., Silva-Sousa, F., Pereira, P., Rito, T., Soares, P. A., Franco‐Duarte, R., & Sousa, M. J. (2021) · Journal of Fungi · doi:10.3390/jof7090712 · Cited by 73
Adaptation to different types of stress converge on mitochondrial metabolism
Lahtvee, P., Kumar, R., Hallström, B. M., & Nielsen, J. (2016) · Molecular Biology of the Cell · doi:10.1091/mbc.e16-03-0187 · Cited by 75
Alkalbani, N. S., Osaili, T. M. I., Al‐Nabulsi, A. A., Olaimat, A. N., Liu, S., Shah, N. P., Apostolopoulos, V., & Ayyash, M. M. (2022) · Journal of Fungi · doi:10.3390/jof8040365 · Cited by 73
Evolutionary engineering of industrial microorganisms-strategies and applications
Zhu, Z., Zhang, J., Ji, X., Fang, Z., Wu, Z., Chen, J., & Du, G. (2018) · Applied Microbiology and Biotechnology · doi:10.1007/s00253-018-8937-1 · Cited by 67
Kok, S., Nijkamp, J. F., Oud, B., Roque, F. C., Ridder, D., Daran, J.-M., Pronk, J. T., & Maris, A. J. A. (2012) · FEMS Yeast Research · doi:10.1111/j.1567-1364.2011.00787.x · Cited by 65
Cancer regeneration: Polyploid cells are the key drivers of tumor progression
Moein, S., Adibi, R., Meirelles, L. D. S., Nardi, N. B., & Gheisari, Y. (2020) · Biochimica et Biophysica Acta (BBA) - Reviews on Cancer · doi:10.1016/j.bbcan.2020.188408 · Cited by 64
Applications of computational modeling in metabolic engineering of yeast
Kerkhoven, E. J., Lahtvee, P., & Nielsen, J. (2014) · FEMS Yeast Research · doi:10.1111/1567-1364.12199 · Cited by 65
Zhou, A., Baidoo, E. E. K., He, Z., Mukhopadhyay, A., Baumohl, J. K., Benke, P. I., Joachimiak, M. P., Xie, M., Song, R., Arkin, A. P., et al. (2013) · The ISME Journal · doi:10.1038/ismej.2013.60 · Cited by 60
Design and development of synthetic microbial platform cells for bioenergy
Lee, S. J., Lee, S. J., & Lee, D.-W. (2013) · Frontiers in Microbiology · doi:10.3389/fmicb.2013.00092 · Cited by 57
Feki, K., Farhat, A., Kamoun, Y., Saibi, W., Gargouri, A. F., & Brini, F. (2016) · Journal of Plant Physiology · doi:10.1016/j.jplph.2016.03.019 · Cited by 56
Sato, T. K., Liu, T., Parreiras, L. S., Williams, D. L., Wohlbach, D. J., Bice, B. D., Ong, I. M., Breuer, R. J., Li, Q., Busalacchi, D., et al. (2013) · Applied and Environmental Microbiology · doi:10.1128/aem.01885-13 · Cited by 50
Turanlı-Yıldız, B., Benbadis, L., Alkım, C., Sezgin, T., Akşit, A., Gökçe, A., Öztürk, Y., Baykal, A. T., Çakar, Z. P., & François, J. (2017) · Journal of Bioscience and Bioengineering · doi:10.1016/j.jbiosc.2017.04.012 · Cited by 50
Djemal, R., & Khoudi, H. (2015) · PROTOPLASMA · doi:10.1007/s00709-015-0775-8 · Cited by 46
Sinha, S., Flibotte, S., Neira, M., Formby, S., Plemenitaš, A., Gunde‐Cimerman, N., Lenassi, M., Gostinčar, C., Stajich, J., & Nislow, C. (2017) · G3 Genes Genomes Genetics · doi:10.1534/g3.117.040691 · Cited by 45
Pontes, A., Čadež, N., Gonçalves, P. M., & Sampaio, J. P. (2019) · Frontiers in Genetics · doi:10.3389/fgene.2019.00449 · Cited by 45
Coleine, C., Masonjones, S., Sterflinger, K., Onofri, S., Selbmann, L., & Stajich, J. (2020) · Fungal Biology · doi:10.1016/j.funbio.2020.01.005 · Cited by 45
Jia, Y.-L., Li, J., Nong, F., Yan, C.-X., Ma, W., Zhu, X., Zhang, L., & Sun, X. (2023) · ACS Synthetic Biology · doi:10.1021/acssynbio.3c00179 · Cited by 39
Zhang, Z., Bendixsen, D. P., Janzen, T., Nolte, A. W., Greig, D., & Stelkens, R. B. (2019) · Molecular Biology and Evolution · doi:10.1093/molbev/msz211 · Cited by 38
Osmotic tolerance in Saccharomyces cerevisiae: Implications for food and bioethanol industries
Chen, A., Qu, T., Smith, J. R., Li, J., Du, G., & Chen, J. (2024) · Food Bioscience · doi:10.1016/j.fbio.2024.104451 · Cited by 38
Peltier, É., Friedrich, A., Schacherer, J., & Marullo, P. (2019) · Frontiers in Genetics · doi:10.3389/fgene.2019.00683 · Cited by 38
Feki, K., Kamoun, Y., Mahmoud, R. B., Farhat, A., Gargouri, A. F., & Brini, F. (2015) · Plant Physiology and Biochemistry · doi:10.1016/j.plaphy.2015.10.034 · Cited by 37
Stabilization process in Saccharomyces intra and interspecific hybrids in fermentative conditions.
Pérez‐Través, L., Lopes, C. A., Barrio, E., & Querol, A. (2014) · PubMed · doi:10.2436/20.1501.01.224 · Cited by 36
Sartaj, K., Prasad, R., Μάτσακας, Λ., & Patel, A. (2023) · Chemical Engineering Journal · doi:10.1016/j.cej.2023.145625 · Cited by 35
The dynamics of adaptation to stress from standing genetic variation and de novo mutations
Ament-Velásquez, S. L., Gilchrist, C., Rêgo, A., Bendixsen, D. P., Brice, C., Grosse-Sommer, J. M., Rafati, N., & Stelkens, R. (2022) · Molecular Biology and Evolution · doi:10.1093/molbev/msac242 · Cited by 31
Accelerated adaptive laboratory evolution: A tool for evolutionary biotechnology
Declerck, L., Bouchon, F., Demeester, W., Guidi, C., & Mey, M. D. (2025) · Biotechnology Advances · doi:10.1016/j.biotechadv.2025.108741 · Cited by 32
Betlej, G., Bator, E., Oklejewicz, B., Potocki, L., Górka, A., Słowik‐Borowiec, M., Czarny, W., Domka, W., & Kwiatkowska, A. (2020) · Genes · doi:10.3390/genes11050576 · Cited by 30
Defining and Disrupting Species Boundaries inSaccharomyces
Ono, J., Greig, D., & Boynton, P. J. (2020) · Annual Review of Microbiology · doi:10.1146/annurev-micro-021320-014036 · Cited by 32
Tekarslan-Sahin, S. H., Alkım, C., & Sezgin, T. (2017) · Biomolecules and Biomedicine · doi:10.17305/bjbms.2017.2250 · Cited by 31
Quantitative Operating Principles of Yeast Metabolism during Adaptation to Heat Stress
Pereira, T., Vilaprinyó, E., Bellı́, G., Herrero, E., Salvadó, B., Albert Sorribas, B., Altés, G., & Alves, R. (2018) · Cell Reports · doi:10.1016/j.celrep.2018.02.020 · Cited by 28
Zhang, Y., Mao, B., Tang, X., Liu, X., Zhao, J., Zhang, H., Cui, S., & Chen, W. (2022) · LWT · doi:10.1016/j.lwt.2022.113199 · Cited by 28
Adaptive laboratory evolution for growth coupled microbial production
Godara, A., & Kao, K. C. (2020) · World Journal of Microbiology and Biotechnology · doi:10.1007/s11274-020-02946-8 · Cited by 26
Yao, Z., Xie, T., Deng, H., Xiao, S., & Yang, T. (2025) · Foods · doi:10.3390/foods14020216 · Cited by 27
Experimental evolution: its principles and applications in developing stress-tolerant yeasts
Swamy, K. B. S., & Zhou, N. (2019) · Applied Microbiology and Biotechnology · doi:10.1007/s00253-019-09616-2 · Cited by 25
Yao, S., Zhou, R., Jin, Y., Zhang, L., Huang, J., & Wu, C. (2020) · Process Biochemistry · doi:10.1016/j.procbio.2020.02.021 · Cited by 25
de Kok, S., Nijkamp, J. F., Oud, B., Roque, F. C., de Ridder, D., Daran, J.-M. G., Pronk, J. T., & van Maris, A. J. A. (2012) · FEMS Yeast Research · doi:10.1111/j.1567-1364.2012.00787.x · Cited by 25
Expanding the Horizons of Saccharomyces cerevisiae: Nutrition, Oenology, and Bioethanol Production
Elhalis, H. (2024) · Sustainability · doi:10.3390/su162411151 · Cited by 27
Romeo, O., Marchetta, A., Giosa, D., Giuffrè, L., Urzı̀, C., & Leo, F. D. (2020) · Life · doi:10.3390/life10100229 · Cited by 24
Zhou, A., Hillesland, K. L., He, Z., Schackwitz, W., Tu, Q., Zane, G. M., Ma, Q., Qu, Y., Stahl, D. A., Wall, J. D., et al. (2015) · The ISME Journal · doi:10.1038/ismej.2015.45 · Cited by 24
Min, B., Yoo, D., Lee, Y. H., Seo, M., & Kim, H. (2020) · Frontiers in Bioengineering and Biotechnology · doi:10.3389/fbioe.2020.00828 · Cited by 21
Gostinčar, C., Stajich, J., Kejžar, A., Sinha, S., Nislow, C., Lenassi, M., & Gunde‐Cimerman, N. (2021) · Journal of Fungi · doi:10.3390/jof7090723 · Cited by 22
Pattanakittivorakul, S., Tsuzuno, T., Kosaka, T., Murata, M., Kanesaki, Y., Yoshikawa, H., Limtong, S., & Yamada, M. C. (2022) · Microorganisms · doi:10.3390/microorganisms10040798 · Cited by 22
Aneuploidy Can Be an Evolutionary Diversion on the Path to Adaptation
Kohanovski, I., Pontz, M., Zande, P. V., Selmecki, A. M., Dahan, O., Pilpel, Y., Yona, A. H., & Ram, Y. (2024) · Molecular Biology and Evolution · doi:10.1093/molbev/msae052 · Cited by 23
Bourne, E. C., Mina, D., Gonçalves, S. C., Loureiro, J., Freitas, H. M. D. O., & Muller, L. A. H. (2013) · Mycorrhiza · doi:10.1007/s00572-013-0501-3 · Cited by 21
Schiener, P., Stanley, M. S., Black, K., & Green, D. H. (2016) · Journal of Applied Phycology · doi:10.1007/s10811-016-0800-0 · Cited by 21
Cherni, Y., Botta, C., Kasmi, M., Franciosa, I., Cocolin, L., Chatti, A., Trabelsi, I., & Elleuch, L. (2020) · Water Environment Research · doi:10.1002/wer.1363 · Cited by 20
Navarrete, C., Sánchez, B. J., Savickas, S., & Martínez, J. L. (2021) · Microbial Biotechnology · doi:10.1111/1751-7915.13954 · Cited by 21
Human Genome Variation and the Concept of Genotype Networks
Dall’Olio, G. M., Bertranpetit, J., Wagner, A., & Laayouni, H. (2014) · PLoS ONE · doi:10.1371/journal.pone.0099424 · Cited by 21
Self-citationZhou, A., Lau, R., Baran, R., Ma, J., von Netzer, F., Shi, W., Gorman‐Lewis, D., Kempher, M. L., He, Z., Qin, Y., et al. (2017) · mBio · doi:10.1128/mbio.01780-17 · Cited by 19
Varelas, V., Sotiropoulou, E. K., Karambini, X., Liouni, M., & Nerantzis, E. T. (2017) · Fermentation · doi:10.3390/fermentation3030044 · Cited by 18
Polyextremophile engineering: a review of organisms that push the limits of life
Caro‐Astorga, J., Meyerowitz, J. T., Stork, D. A., Nattermann, U., Piszkiewicz, S., Vimercati, L., Schwendner, P., Hocher, A., Cockell, C. S., & DeBenedictis, E. A. (2024) · Frontiers in Microbiology · doi:10.3389/fmicb.2024.1341701 · Cited by 19
Rancati, G. I., & Pavelka, N. (2013) · Seminars in Cell and Developmental Biology · doi:10.1016/j.semcdb.2013.01.009 · Cited by 18
Gong, A., Liu, W., Lin, Y., Huang, L., & Xie, Z. (2023) · Microbiology Spectrum · doi:10.1128/spectrum.01326-23 · Cited by 19
Assessing Fungal Biodiversity Using Molecular Markers
Shamim, M., Kumar, P., Kumar, R. R., Kumar, M., Kumar, R. R., & Singh, K. N. (2017) · Fungal biology · doi:10.1007/978-3-319-34106-4_15 · Cited by 15
High-throughput analysis of adaptation using barcoded strains of Saccharomyces cerevisiae
Fasanello, V. J., Liu, P., Botero, C. A., & Fay, J. C. (2020) · PeerJ · doi:10.7717/peerj.10118 · Cited by 11
Ahmad, M. S., Pathania, R., Chowdhury, A., Gupta, J. K., Dev, C., & Srivastava, S. (2021) · Applied Microbiology and Biotechnology · doi:10.1007/s00253-021-11566-7 · Cited by 12
Kim, Y. Y., Kim, S., Kim, S., Yang, J. E., Kim, H. M., & Park, H. W. (2023) · Food Research International · doi:10.1016/j.foodres.2023.113731 · Cited by 15
Hussain, S., Zhang, R., Chen, Y., Li, J., Hussain, Q., Altaf, A., Chen, Y., & Qi-Gen, D. A. I. (2024) · Cereal Research Communications · doi:10.1007/s42976-023-00487-y · Cited by 13
Genetic Mutations That Drive Evolutionary Rescue to Lethal Temperature in Escherichia coli
Batarseh, T. N., Hug, S. M., Batarseh, S. N., & Gaut, B. S. (2020) · Genome Biology and Evolution · doi:10.1093/gbe/evaa174 · Cited by 13
Jacob, S., Dilshani, A., Rishivanthi, S., Khaitan, P., Vamsidhar, A., Rajeswari, G., Kumar, V., Rajak, R., Din, M. F. M., & Zambare, V. (2023) · Processes · doi:10.3390/pr11051516 · Cited by 12
Experimental evolution of extremotolerant and extremophilic fungi under osmotic stress
Akbari, F. H., Song, Z., Turk, M., Gunde‐Cimerman, N., & Gostinčar, C. (2024) · IUBMB Life · doi:10.1002/iub.2825 · Cited by 12
Ianutsevich, E. A., Danilova, O. A., Bondarenko, S. A., & Tereshina, V. M. (2021) · Microbiology · doi:10.1099/mic.0.001112 · Cited by 12
Kang, J., Li, J., Guo, Z., Zhou, S., Su, S., Xiao, W., Wu, Y., & Yuan, Y. (2022) · Synthetic and Systems Biotechnology · doi:10.1016/j.synbio.2022.04.003 · Cited by 12
Transcriptional noise as a driver of gene evolution
Polev, D. E. (2011) · Journal of Theoretical Biology · doi:10.1016/j.jtbi.2011.10.001 · Cited by 12
Sehnem, N. T., Hickert, L. R., da Cunha‐Pereira, F., de Morais, M. A., & Ayub, M. A. Z. (2016) · Biomass Conversion and Biorefinery · doi:10.1007/s13399-016-0224-8 · Cited by 12
Ono, J., & Greig, D. (2019) · Current Genetics · doi:10.1007/s00294-019-01038-x · Cited by 14
Interspecific hybrids show a reduced adaptive potential under DNA damaging conditions
Bautista, C., Marsit, S., & Landry, C. R. (2020) · Evolutionary Applications · doi:10.1111/eva.13155 · Cited by 10
Recent advances in yeast genome evolution with stress tolerance for green biological manufacturing
Xu, K., Zhang, Y., Guo, D., Qin, L., Ashraf, M. U., & Ahmad, N. (2022) · Biotechnology and Bioengineering · doi:10.1002/bit.28183 · Cited by 11
Metadata
- Authors
- DHAR, R., SÄGESSER, R., WEIKERT, C., YUAN, J., & WAGNER, A.
- Affiliations
- SIB Swiss Institute of Bioinformatics (CH)
- Corresponding author
- WAGNER, A.
- Venue
- Journal of Evolutionary Biology
- Publisher
- Oxford University Press (OUP)
- Published
- 2011-03-07
- Volume
- 24
- Issue
- 5
- Pages
- 1135-1153
- ISSN
- 1010-061X (ISSN-L)
- 1420-9101
- OpenAlex
- W1805449453
- Cited by
- 165
- References
- 132
- Citations by year
- 2026: 5 · 2025: 8 · 2024: 9 · 2023: 18 · 2022: 9 · 2021: 10 · 2020: 22 · 2019: 8 · 2018: 8 · 2017: 9 · 2016: 4 · 2015: 12 · 2014: 16 · 2013: 14 · 2012: 9
- FWCI
- 8.59
- Type
- journal article
- Language
- en
- Open access
- green
- www.zora.uzh.ch
- Licence
- Locations
- Journal of Evolutionary Biology (publishedVersion)
- PubMed (publishedVersion)
- Zurich Open Repository and Archive (University of Zurich) (acceptedVersion, other-oa)
- Zurich Open Repository and Archive (University of Zurich) (submittedVersion, other-oa)
- Zurich Open Repository and Archive (University of Zurich)
- Topics
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Genetics › Evolution and Genetic Dynamics
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › Fungal and yeast genetics research
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Aging › Genetics, Aging, and Longevity in Model Organisms
- Keywords
- Saccharomyces cerevisiae, salt tolerance, experimental evolution, adaptive evolution, gene expression changes, polygenic traits, CTT1, Msn4, genome size, NaCl stress, stress response genes
- MeSH terms
- Adaptation, Biological, Biological Evolution, Gene Amplification, Genes, Fungal, Ploidies, Saccharomyces cerevisiae, Sodium Chloride, Gene Expression Regulation, Fungal, Electrophoresis, Gel, Pulsed-Field, Gene Deletion, Sequence Analysis, DNA, Gene Duplication, Gene Expression Profiling, Salinity
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review