Supplemental data for: Identification, subtyping, and tracking of dairy spoilage-associated Pseudomonas by sequencing the ileS gene
Loading...
No Access Until
Permanent Link(s)
Collections
Other Titles
Abstract
Data in support of research: Pseudomonas introduced after pasteurization during the processing and packaging of fluid milk is detrimental to product quality over refrigerated shelf-life. At present, there are limited options available to dairy processors to identify, diagnose, and track Pseudomonas in products and processing environments. We evaluated 7 potential genes to ultimately describe a single-gene PCR and sequencing process for rapid and low-resource preliminary subtyping and identification of dairy spoilage-associated Pseudomonas. Application of this process by dairy processors will allow for more effective root cause analysis of spoilage events and ongoing quality concerns, ultimately resulting in improved milk quality and shelf-life.
Journal / Series
Volume & Issue
Description
Please cite as: Samuel J. Reichler, Sarah I. Murphy, Nicole H. Martin, and Martin Wiedmann. (2020) Supplemental data for: Identification, subtyping, and tracking of dairy spoilage-associated Pseudomonas by sequencing the ileS gene. Cornell University eCommons Repository. https://doi.org/10.7298/rekh-4w25
Sponsorship
Date Issued
2020
Publisher
Keywords
pseudomonas; subtyping; postpasteurization contamination
Location
Effective Date
Expiration Date
Sector
Employer
Union
Union Local
NAICS
Number of Workers
Committee Chair
Committee Co-Chair
Committee Member
Degree Discipline
Degree Name
Degree Level
Related Version
Related DOI
Related To
Related Part
Based on Related Item
Has Other Format(s)
Part of Related Item
Related To
Related Publication(s)
Reichler, S. J., S. I. Murphy, N. H. Martin, and M. Wiedmann. 2021. Identification, subtyping, and tracking of dairy spoilage-associated Pseudomonas by sequencing the ileS gene. J. Dairy Sci. 104(3):2668-2683. https://doi.org/10.3168/jds.2020-19283.
Link(s) to Related Publication(s)
https://doi.org/10.3168/jds.2020-19283
References
Link(s) to Reference(s)
Previously Published As
Government Document
ISBN
ISMN
ISSN
Other Identifiers
Rights
CC0 1.0 Universal
Types
dataset