Practical opportunities for microbiome analyses and bioinformatics in poultry processing
ABSTRACT: Poultry processing is undergoing changes both in operations as well as microbial methodologies. Traditionally, microbial data has been gathered through a series of culturing methods using liquid media and plating for isolation and enumeration. Both foodborne pathogens and nonpathogenic bac...
Main Authors: | , , , |
---|---|
Format: | Article |
Language: | English |
Published: |
Elsevier
2022-05-01
|
Series: | Poultry Science |
Subjects: | |
Online Access: | http://www.sciencedirect.com/science/article/pii/S0032579122000955 |
_version_ | 1817983513155076096 |
---|---|
author | Steven C. Ricke Dana K. Dittoe Jessica A. Brown Dale R. Thompson |
author_facet | Steven C. Ricke Dana K. Dittoe Jessica A. Brown Dale R. Thompson |
author_sort | Steven C. Ricke |
collection | DOAJ |
description | ABSTRACT: Poultry processing is undergoing changes both in operations as well as microbial methodologies. Traditionally, microbial data has been gathered through a series of culturing methods using liquid media and plating for isolation and enumeration. Both foodborne pathogens and nonpathogenic bacterial populations are estimated to assess food safety risks as well as the potential for spoilage. Bacterial loads from carcasses are important for estimating processing control and the effectiveness of antimicrobial applications. However, these culture-based approaches may only provide part of the microbial ecology landscape associated with chicken carcasses and the subsequent changes that occur in these populations during processing. Newer molecular-based approaches, such as 16S sequencing of the microbiota, offer a means to retrieve a more comprehensive microbial compositional profile. However, such approaches also result in large data sets which must be analyzed and interpreted. As more data is generated, this will require not only bioinformatic programs to process the data but appropriate educational forums to present the processed data to a broad audience. |
first_indexed | 2024-04-13T23:34:07Z |
format | Article |
id | doaj.art-19ee1bd4f9394c9da199f772c207fb41 |
institution | Directory Open Access Journal |
issn | 0032-5791 |
language | English |
last_indexed | 2024-04-13T23:34:07Z |
publishDate | 2022-05-01 |
publisher | Elsevier |
record_format | Article |
series | Poultry Science |
spelling | doaj.art-19ee1bd4f9394c9da199f772c207fb412022-12-22T02:24:49ZengElsevierPoultry Science0032-57912022-05-011015101787Practical opportunities for microbiome analyses and bioinformatics in poultry processingSteven C. Ricke0Dana K. Dittoe1Jessica A. Brown2Dale R. Thompson3Meat Science and Animal Biologics Discovery Program, Department of Animal and Dairy Sciences, University of Wisconsin, Madison, WI 53706, USA; Corresponding author:Meat Science and Animal Biologics Discovery Program, Department of Animal and Dairy Sciences, University of Wisconsin, Madison, WI 53706, USAMeat Science and Animal Biologics Discovery Program, Department of Animal and Dairy Sciences, University of Wisconsin, Madison, WI 53706, USADepartment of Computer Science and Computer Engineering, University of Arkansas, Fayetteville, AR 72701, USAABSTRACT: Poultry processing is undergoing changes both in operations as well as microbial methodologies. Traditionally, microbial data has been gathered through a series of culturing methods using liquid media and plating for isolation and enumeration. Both foodborne pathogens and nonpathogenic bacterial populations are estimated to assess food safety risks as well as the potential for spoilage. Bacterial loads from carcasses are important for estimating processing control and the effectiveness of antimicrobial applications. However, these culture-based approaches may only provide part of the microbial ecology landscape associated with chicken carcasses and the subsequent changes that occur in these populations during processing. Newer molecular-based approaches, such as 16S sequencing of the microbiota, offer a means to retrieve a more comprehensive microbial compositional profile. However, such approaches also result in large data sets which must be analyzed and interpreted. As more data is generated, this will require not only bioinformatic programs to process the data but appropriate educational forums to present the processed data to a broad audience.http://www.sciencedirect.com/science/article/pii/S0032579122000955poultry processingmicrobiotabioinformaticsmicrobiomeeducation |
spellingShingle | Steven C. Ricke Dana K. Dittoe Jessica A. Brown Dale R. Thompson Practical opportunities for microbiome analyses and bioinformatics in poultry processing Poultry Science poultry processing microbiota bioinformatics microbiome education |
title | Practical opportunities for microbiome analyses and bioinformatics in poultry processing |
title_full | Practical opportunities for microbiome analyses and bioinformatics in poultry processing |
title_fullStr | Practical opportunities for microbiome analyses and bioinformatics in poultry processing |
title_full_unstemmed | Practical opportunities for microbiome analyses and bioinformatics in poultry processing |
title_short | Practical opportunities for microbiome analyses and bioinformatics in poultry processing |
title_sort | practical opportunities for microbiome analyses and bioinformatics in poultry processing |
topic | poultry processing microbiota bioinformatics microbiome education |
url | http://www.sciencedirect.com/science/article/pii/S0032579122000955 |
work_keys_str_mv | AT stevencricke practicalopportunitiesformicrobiomeanalysesandbioinformaticsinpoultryprocessing AT danakdittoe practicalopportunitiesformicrobiomeanalysesandbioinformaticsinpoultryprocessing AT jessicaabrown practicalopportunitiesformicrobiomeanalysesandbioinformaticsinpoultryprocessing AT dalerthompson practicalopportunitiesformicrobiomeanalysesandbioinformaticsinpoultryprocessing |