Long-Term Adaptation to Galactose as a Sole Carbon Source Selects for Mutations Outside the Canonical GAL Pathway.
Long-Term Adaptation to Galactose as a Sole Carbon Source Selects for Mutations Outside the Canonical GAL Pathway.
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DOI:
10.1007/s00239-022-10079-9
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发表时间:
2023-02
影响因子:
3.9
通讯作者:
中科院分区:
文献类型:
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Galactose is a secondary fermentable sugar that requires specific regulatory and structural genes for its assimilation, which are under catabolite repression by glucose. When glucose is absent, the catabolic repression is attenuated, and the structural GAL genes are fully activated. In Saccharomyces cerevisiae, the GAL pathway is under selection in environments where galactose is present. However, it is unclear the adaptive strategies in response to long-term propagation in galactose as a sole carbon source in laboratory evolution experiments. Here, we performed a 4,000-generation evolution experiment using 48 diploid Saccharomyces cerevisiae populations to study adaptation in galactose. We show that fitness gains were greater in the galactose-evolved population than in identically evolved populations with glucose as a sole carbon source. Whole-genome sequencing of 96 evolved clones revealed recurrent de novo single nucleotide mutations in candidate targets of selection, copy number variations, and ploidy changes. We find that most mutations that improve fitness in galactose lie outside of the canonical GAL pathway. Reconstruction of specific evolved alleles in candidate target of selection, SEC23 and IRA1, showed a significant increase in fitness in galactose compared to glucose. In addition, most of our evolved populations (28/46; 61%) fixed aneuploidies on Chromosome VIII, suggesting a parallel adaptive amplification. Finally, we show greater loss of extrachromosomal elements in our glucose-evolved lineages compared with previous glucose evolution. Broadly, these data further our understanding of the evolutionary pressures that drive adaptation to less-preferred carbon sources. The online version contains supplementary material available at 10.1007/s00239-022-10079-9.
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DOI:
10.1016/j.tig.2021.08.013
发表时间:
2022-01
期刊:
Trends in genetics : TIG
影响因子:
--
作者:
Harrison MC;LaBella AL;Hittinger CT;Rokas A
通讯作者:
Rokas A
影响因子:
11.3
作者:
Conrad M;Schothorst J;Kankipati HN;Van Zeebroeck G;Rubio-Texeira M;Thevelein JM
通讯作者:
Thevelein JM
DOI:
10.1093/bioinformatics/btr670
发表时间:
2012-02-01
期刊:
Bioinformatics (Oxford, England)
影响因子:
--
作者:
Boeva V;Popova T;Bleakley K;Chiche P;Cappo J;Schleiermacher G;Janoueix-Lerosey I;Delattre O;Barillot E
通讯作者:
Barillot E
影响因子:
--
作者:
Fendt SM;Sauer U
通讯作者:
Sauer U
影响因子:
3.3
作者:
Aggeli, Dimitra;Marad, Daniel A.;Lang, Gregory, I
通讯作者:
Lang, Gregory, I