Dataset Information

Rewiring the metabolic network to increase docosahexaenoic acid productivity in Crypthecodinium cohnii by fermentation supernatant-based adaptive laboratory evolution

ABSTRACT: To overcome the inhibition caused by the fermentation supernatant in the late fermentation stage of docosahexaenoic acid (DHA)-producing Crypthecodinium cohnii, fermentation supernatant-based adaptive laboratory evolution (FS-ALE) was conducted. The cell growth and DHA productivity of the evolved strain (FS280) obtained after 280 adaptive cycles corresponding to 840 days of evolution were increased by 161.87% and 311.23%, respectively, at 72 h under stress conditions and increased by 19.87% and 51.79% without any stress compared with the starting strain, demonstrating the effectiveness of FS-ALE.

ORGANISM(S): Crypthecodinium Cohnii

SUBMITTER: Weiwen Zhang

PROVIDER: PXD030028 | iProX | Sat Nov 27 00:00:00 GMT 2021

REPOSITORIES: iProX

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Publications

Rewiring the Metabolic Network to Increase Docosahexaenoic Acid Productivity in Crypthecodinium cohnii by Fermentation Supernatant-Based Adaptive Laboratory Evolution.

Liu Liangsen L Diao Jinjin J Bi Yali Y Zeng Lei L Wang Fangzhong F Chen Lei L Zhang Weiwen W

Frontiers in microbiology 20220302

Docosahexaenoic acid (DHA, 22:6n-3) plays significant roles in enhancing human health and preventing human diseases. The heterotrophic marine dinoflagellate Crypthecodinium cohnii is a good candidate to produce high-quality DHA. To overcome the inhibition caused by the fermentation supernatant in the late fermentation stage of DHA-producing C. cohnii, fermentation supernatant-based adaptive laboratory evolution (FS-ALE) was conducted. The cell growth and DHA productivity of the evo ...[more]

PMID: 35308368

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Project description:In some of the earliest uses of genome-wide gene-expression microarrays and array-based Comparative Genomic Hybridization (aCGH), a set of diploid yeasts that had undergone experimental evolution under aerobic glucose limitation was used to explore how gene expression and genome structure had responded to this selection pressure. To more deeply understand how adaptation to one environment might constrain or enhance performance in another we have now identified the adaptive mutations in this set of clones using whole-genome sequencing, and have assessed whether the evolved clones had become generalists or specialists by assaying their fitness under three contrasting growth environments: aerobic and anaerobic glucose limitation and aerobic acetate limitation. Additionally, evolved clones and their common ancestor were assayed for gene expression, biomass estimates and residual substrate levels under the alternative growth conditions. Relative fitnesses were evaluated by competing each clone against a common reference strain in each environment. Unexpectedly, we found that the evolved clones also outperformed their ancestor under strictly fermentative and strictly oxidative growth conditions. We conclude that yeasts evolving under aerobic glucose limitation become generalists for carbon limitation, as the mutations selected for in one environment are advantageous in others. High-throughput sequencing of the evolved clones uncovered mutations in genes involved in glucose sensing, signaling, and transport that in part explain these physiological phenotypes, with different sets of mutations found in independently-evolved clones. Earlier gene expression data from aerobic glucose-limited cultures had revealed a shift from fermentation towards respiration in all evolved clones explaining increased fitness in that condition. However, because the evolved clones also show higher fitness under strictly anaerobic conditions and under conditions requiring strictly respirative growth, this switch cannot be the sole source of adaptive benefit. Furthermore, because independently evolved clones are genetically distinct we conclude that there are multiple mutational paths leading to the generalist phenotype. Strain Name: Parental strain (CP1AB) or evolved clones (E1 - E5) Media: aerobic / anaerobic 36 hybridizations

Dataset Information

Rewiring the metabolic network to increase docosahexaenoic acid productivity in Crypthecodinium cohnii by fermentation supernatant-based adaptive laboratory evolution

Publications

Rewiring the Metabolic Network to Increase Docosahexaenoic Acid Productivity in <i>Crypthecodinium cohnii</i> by Fermentation Supernatant-Based Adaptive Laboratory Evolution.

Similar Datasets

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