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PXD062027-1

PXD062027 is an original dataset announced via ProteomeXchange.

Dataset Summary
TitleReverse-engineered gas-fermenting acetogen strains recover enhanced phenotypes from autotrophic adaptive laboratory evolution
DescriptionGas-fermenting acetogens, such as Clostridium autoethanogenum, have emerged as promising biocatalysts capable of converting CO and CO2-containing gases into fuels and chemicals relevant for a circular economy. However, functionalities of the majority of genes in acetogens remain uncharacterised, hindering the development of acetogen cell factories through targeted genetic engineering. We previously identified gene targets through adaptive laboratory evolution (ALE) that potentially realise enhanced autotrophic phenotypes in C. autoethanogenum. In this study, we deleted one of the targets – CLAU_0471 (proposed amino acid permease) – with high mutation occurrence in ALE isolates and extensively characterised autotrophic growth of strain RE3 in batch bottle and bioreactor continuous cultures. In addition, we characterized two previously reverse-engineered strains RE1 (deletion of CLAU_3129; putative sporulation transcriptional activator Spo0A) and RE2 (SNP in CLAU_1957; proposed two component transcriptional regulator winged helix family). Strikingly, the strains recovered the superior phenotypes of ALE isolates, including faster autotrophic growth, no need for yeast extract, and robustness in bioreactor operation (e.g. low sensitivity to gas ramping, high biomass, and dilution rates). Notably, RE3 exhibited elevated 2,3-butanediol production while RE1 performed similar to the best-performing previously characterised ALE isolate LAbrini. The three reverse-engineered strains showed similarities in proteome expression and bioinformatic analyses suggest that the targeted genes may be involved in overlapping regulatory networks. Our work provides insights into genotype-phenotype relationships for a better understanding of the metabolism of an industrially-relevant acetogen.
HostingRepositoryPRIDE
AnnounceDate2025-08-12
AnnouncementXMLSubmission_2025-08-12_05:16:10.469.xml
DigitalObjectIdentifier
ReviewLevelPeer-reviewed dataset
DatasetOriginOriginal dataset
RepositorySupportUnsupported dataset by repository
PrimarySubmitterKaspar Valgepea
SpeciesList scientific name: Clostridium autoethanogenum; NCBI TaxID: 84023;
ModificationListiodoacetamide derivatized residue
InstrumentQ Exactive HF
Dataset History
RevisionDatetimeStatusChangeLog Entry
02025-03-19 04:36:23ID requested
12025-08-12 05:16:10announced
Publication List
10.1111/1751-7915.70208;
Keyword List
submitter keyword: microbial proteomics, gas fermentation, acetogen,DIA
Contact List
Kaspar Valgepea
contact affiliationValgepeaLab, Institute of Bioengineering, University of Tartu
contact emailkaspar.valgepea@ut.ee
lab head
Kaspar Valgepea
contact affiliationInstitute of Bioengineering, University of Tartu
contact emailkaspar.valgepea@ut.ee
dataset submitter
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