PXD042521

PXD042521 is an original dataset announced via ProteomeXchange.

Title	Quantitative proteomics study of Aeromonas hydrophila under streptomycin stress
Description	Aeromonas hydrophila is one of the most common pathogenic bacteria in the aquaculture industry. Despite reports of drug-resistant strains of A. hydrophila in many studies, the internal adaptation mechanism to antibiotics remains unclear. This study used quantitative proteomics to compare the differences in protein expression of A. hydrophila with and without streptomycin (SM) stress for further analysis. A total of 137 differentially expressed proteins were identified under SM stress, of which 70 were up-regulated and 67 were down-regulated. Bioinformatics analysis indicated that several metal pathways, such as metal cluster binding, iron-sulfur cluster binding, and transition metal ion binding, may affect the resistance of A. hydrophila to SM. Finally, the sensitivity of 6 related gene deletion strains to streptomycin was evaluated. Overall, the results of this study provide a deeper understanding of the response behavior of A. hydrophila to streptomycin stress.
HostingRepository	iProX
AnnounceDate	2023-05-29
AnnouncementXML	Submission_2023-05-29_01:15:39.310.xml
DigitalObjectIdentifier
ReviewLevel	Peer-reviewed dataset
DatasetOrigin	Original dataset
RepositorySupport	Unsupported dataset by repository
PrimarySubmitter	Xiangmin Lin
SpeciesList	scientific name: Aeromonas hydrophila subsp. hydrophila ATCC 7966; NCBI TaxID: 380703;
ModificationList	No PTMs are included in the dataset
Instrument	Q Exactive HF

Revision	Datetime	Status	ChangeLog Entry
0	2023-05-29 01:15:26	ID requested
⏵ 1	2023-05-29 01:15:39	announced

Dataset with its publication pending

submitter keyword: Aeromonas hydrophila, Streptomycin, LC-MS/MS, antibiotics resistance gene, proteomics

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

iProX dataset URI