PXD040190

PXD040190 is an original dataset announced via ProteomeXchange.

Title	Protein content and composition are excellent markers for the assessment of honey quality and the prediction of antibacterial properties
Description	Honey promotes health and is an effective non-pharmacological home remedy against common respiratory infections. However, industrial processing and manipulation of raw honey can have a detrimental effect on its biological activities, including antibacterial ones, and hence its health-benefiting qualities. Therefore, this study aimed to compare the honey’s antibacterial activity, its total protein content, and the abundance of the most dominant bee-derived proteins in honey between raw (n=92) and supermarket (n=17) samples. We showed that raw honey samples were much more effective in inhibiting the growth of Staphylococcus aureus with a median minimal inhibitory concentration (MIC) value of 4.5% compared to supermarket honey samples ceasing bacterial growth with a median MIC value of 36%. Moreover, raw honey samples contained significantly higher amounts of total protein as well as the content of particular bee-derived proteins (major royal jelly protein 1 (MRJP1), glucose oxidase (GOX), and α-glucosidase) in contrast to supermarket honey samples. These data hint that some marketed honey samples could be deliberately manipulated with syrup, especially those that exhibited low protein content. In addition, the supermarket honey sample with the lowest protein content contained α-amylase (diastase) from Aspergillus oryzae. Strikingly, the content of this foreign enzyme in honey was roughly 60 times higher than the naturally occurring bee α-amylase. Our findings highlight the burning need to refine and monitor the specific quality parameters, ensuring the authenticity of honey and maintaining its reputation as a functional food.
HostingRepository	PRIDE
AnnounceDate	2023-11-14
AnnouncementXML	Submission_2023-11-14_06:44:26.502.xml
DigitalObjectIdentifier	https://dx.doi.org/10.6019/PXD040190
ReviewLevel	Peer-reviewed dataset
DatasetOrigin	Original dataset
RepositorySupport	Supported dataset by repository
PrimarySubmitter	Maksym Danchenko
SpeciesList	scientific name: Apis mellifera (Honeybee); NCBI TaxID: 7460;
ModificationList	acetylated residue; monohydroxylated residue; iodoacetamide derivatized residue
Instrument	LTQ Orbitrap Elite

Revision	Datetime	Status	ChangeLog Entry
0	2023-02-16 13:49:42	ID requested
1	2023-08-12 07:50:51	announced
⏵ 2	2023-11-14 06:44:26	announced	2023-11-14: Updated project metadata.

10.6019/PXD040190;

submitter keyword: α-amylase, glucose oxidase,food adulteration, Apis mellifera, proteome, major royal jelly protein 1

Peter Baráth
contact affiliation	Department of Glycobiology, Institute of Chemistry, Slovak Academy of Sciences
contact email	peter.barath@savba.sk
lab head
Maksym Danchenko
contact affiliation	Plant Science and Biodiversity Center SAS
contact email	maxymdan@gmail.com
dataset submitter

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PRIDE project URI

• PRIDE
  1. PXD040190
     1. Label: PRIDE project
     2. Name: Protein content and composition are excellent markers for the assessment of honey quality and the prediction of antibacterial properties