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PXD031300

PXD031300 is an original dataset announced via ProteomeXchange.

Dataset Summary
TitleQuantitative proteomics reveals the antibiotics adaptive mechanism of Aeromonas hydrophila in kanamycin stress
DescriptionAeromonas hydrophila is a widespread opportunistic pathogen of aquatic fishes in freshwater habitats. The current emergence of antimicrobial-resistant A. hydrophila has been reported in the world while the bacterial antibiotics adaptive mechanism is still largely known. In this study, using quantitative proteomics technology, the behavior of A. hydrophila was investigated by comparing the differentially expression proteins between with and without kanamycin (KAN) treatment. A total of 374 altered proteins including 184 increasing and 190 proteins decreasing abundances were quantified when responding to KAN stress. The bioinformatics analysis showed that stress related proteins were hub proteins that significantly increased to reduce the pressure from the misreading of mRNA caused by KAN. Moreover, several metallic pathways, such as oxidative phosphorylation and TCA cycle pathways may affect KAN resistance. Finally, eight selected genes were deleted and their antibiotics susceptibilities to kanamycin were valued, respectively. Results showed that OmpA II family protein A0KI26, and two-component system protein AtoC may involve in the KAN resistance in this study. In general, our results provide insight into the behaviors of bacterial responding to KAN stress, and demonstrate the intrinsic antibiotics adaptive mechanism of A. hydrophila.
HostingRepositoryiProX
AnnounceDate2022-04-25
AnnouncementXMLSubmission_2023-12-24_20:35:56.843.xml
DigitalObjectIdentifier
ReviewLevelPeer-reviewed dataset
DatasetOriginOriginal dataset
RepositorySupportUnsupported dataset by repository
PrimarySubmitterLishan Zhang
SpeciesList scientific name: Aeromonas hydrophila subsp. hydrophila AL09-71; NCBI TaxID: 1321367;
ModificationList6x(13)C labeled L-lysine
InstrumentLTQ
Dataset History
RevisionDatetimeStatusChangeLog Entry
02022-01-27 04:17:39ID requested
12022-01-27 04:17:58announced
22023-12-24 20:35:57announced2023-12-25: Update information.
Publication List
Zhang L, Chen X, Wang G, Yao J, Wei J, Liu Z, Lin X, Liu Y, Quantitative proteomics reveals the antibiotics adaptation mechanism of Aeromonas hydrophila under kanamycin stress. J Proteomics, 264():104621(2022) [pubmed]
Keyword List
submitter keyword: Antibiotics resistance, quantitative proteomics, kanamycin, stress related proteins, Aeromonas hydrophila
Contact List
Xiangmin Lin
contact affiliationFujian Agriculture and Forestry University
contact emailxiangmin@fafu.edu.cn
lab head
Lishan Zhang
contact affiliationFujian Agriculture and Forestry University
contact email1215847994@qq.com
dataset submitter
Full Dataset Link List
iProX dataset URI