PXD031300

PXD031300 is an original dataset announced via ProteomeXchange.

Title	Quantitative proteomics reveals the antibiotics adaptive mechanism of Aeromonas hydrophila in kanamycin stress
Description	Aeromonas 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.
HostingRepository	iProX
AnnounceDate	2022-04-25
AnnouncementXML	Submission_2023-12-24_20:35:56.843.xml
DigitalObjectIdentifier
ReviewLevel	Peer-reviewed dataset
DatasetOrigin	Original dataset
RepositorySupport	Unsupported dataset by repository
PrimarySubmitter	Lishan Zhang
SpeciesList	scientific name: Aeromonas hydrophila subsp. hydrophila AL09-71; NCBI TaxID: 1321367;
ModificationList	6x(13)C labeled L-lysine
Instrument	LTQ

Revision	Datetime	Status	ChangeLog Entry
0	2022-01-27 04:17:39	ID requested
1	2022-01-27 04:17:58	announced
⏵ 2	2023-12-24 20:35:57	announced	2023-12-25: Update information.

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]

submitter keyword: Antibiotics resistance, quantitative proteomics, kanamycin, stress related proteins, Aeromonas hydrophila

Xiangmin Lin
contact affiliation	Fujian Agriculture and Forestry University
contact email	xiangmin@fafu.edu.cn
lab head
Lishan Zhang
contact affiliation	Fujian Agriculture and Forestry University
contact email	1215847994@qq.com
dataset submitter

iProX dataset URI