Determination of the microbiological contamination in minced pork by culture dependent and 16S amplicon sequencing analysis
Routine evaluation of bacterial contamination in minced pork is still mainly performed by the enumeration of indicator bacteria, including total aerobic colony count and E. coli, using standardized isolation methods. However, the bacterial community structure as well as the effect of the storage tim...
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description | Routine evaluation of bacterial contamination in minced pork is still mainly performed by the enumeration of indicator bacteria, including total aerobic colony count and E. coli, using standardized isolation methods. However, the bacterial community structure as well as the effect of the storage time and temperature on the aerobic plate count are largely unknown for this matrix. The aim of the study was to characterize the microbial community in minced pork by 16S rRNA amplicon sequencing compared to classical isolation methods combined with identification by Matrix-assisted laser desorption ionization-time of flight mass spectrometry (MALDI TOF MS) and 16S rRNA gene sequencing. Analysis of 14 unrelated samples showed that total aerobic counts determined at 30 °C and 7 °C showed no significant difference, but the richness was higher on PCA at 30 °C for 7 samples, equal in 5, and higher at 7 °C for 2 samples. Members of the genus Pseudomonas, along with the genera Brochothrix and Carnobacterium were commonly identified among both the mesophilic and psychrotrophic population. Comparing to 16S rRNA amplicon sequencing, some contrasting data were obtained. Except for Brochothrix spp. and Pseudomonas spp., that were abundant and always detected, genera obtained with the two methods in the same sample were not always the same. Comparison of different sample preparation techniques and DNA extraction methods demonstrated also in this matrix that different results on the microbial composition and complexity are obtained. Present data illustrate that the combined isolation and identification of isolates using MALDI TOF MS and 16S gene sequencing and overall community profiling using 16S rRNA amplicon sequencing provides complementary results and yields important insights into the complex relationship between microorganisms in a food.
•Total aerobic counts determined at 30 °C and 7 °C showed no significant difference.•Still a high number of unidentified bacteria when using MALDI-TOF MS•Sample preparation affects microbial composition and complexity.•Highest richness in microbial diversity was obtained by direct DNA extraction of the meat.•Bacterial diversity should be assessed by culture dependent and independent methods. |
doi_str_mv | 10.1016/j.ijfoodmicro.2018.09.025 |
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•Total aerobic counts determined at 30 °C and 7 °C showed no significant difference.•Still a high number of unidentified bacteria when using MALDI-TOF MS•Sample preparation affects microbial composition and complexity.•Highest richness in microbial diversity was obtained by direct DNA extraction of the meat.•Bacterial diversity should be assessed by culture dependent and independent methods.</description><identifier>ISSN: 0168-1605</identifier><identifier>EISSN: 1879-3460</identifier><identifier>DOI: 10.1016/j.ijfoodmicro.2018.09.025</identifier><identifier>PMID: 30292676</identifier><language>eng</language><publisher>Netherlands: Elsevier B.V</publisher><subject>16S rRNA amplicon sequencing ; 16S rRNA gene sequencing ; Animals ; Bacteria ; Bacteria - genetics ; Bacteria - growth & development ; Bacteria - isolation & purification ; Communities ; Community structure ; Complexity ; Contamination ; Deoxyribonucleic acid ; DNA ; E coli ; Enumeration ; Escherichia coli - genetics ; Food contamination ; Food Microbiology - methods ; Gene sequencing ; Identification methods ; Ionization ; Ions ; Isolation ; MALDI-TOF MS ; Mass spectrometry ; Mass spectroscopy ; Meat - microbiology ; Microbial contamination ; Microbiota ; Microorganisms ; Plates (structural members) ; Pork ; Pseudomonas ; RNA, Ribosomal, 16S - genetics ; rRNA 16S ; Sample preparation ; Sequence Analysis, DNA ; Spectrometry, Mass, Matrix-Assisted Laser Desorption-Ionization ; Swine</subject><ispartof>International journal of food microbiology, 2019-02, Vol.290, p.27-35</ispartof><rights>2018 Elsevier B.V.</rights><rights>Copyright © 2018 Elsevier B.V. All rights reserved.</rights><rights>Copyright Elsevier BV Feb 2, 2019</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c442t-6d6d990ac9cc2a5ca2f9bce92b38a40622f7ea8099ae0041a8dc0276402effe63</citedby><cites>FETCH-LOGICAL-c442t-6d6d990ac9cc2a5ca2f9bce92b38a40622f7ea8099ae0041a8dc0276402effe63</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktohtml>$$Uhttps://dx.doi.org/10.1016/j.ijfoodmicro.2018.09.025$$EHTML$$P50$$Gelsevier$$H</linktohtml><link.rule.ids>314,780,784,3548,27923,27924,45994</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/30292676$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Peruzy, M.F.</creatorcontrib><creatorcontrib>Murru, N.</creatorcontrib><creatorcontrib>Yu, Z.</creatorcontrib><creatorcontrib>Cnockaert, M.</creatorcontrib><creatorcontrib>Joossens, M.</creatorcontrib><creatorcontrib>Proroga, Y.T.R.</creatorcontrib><creatorcontrib>Houf, K.</creatorcontrib><title>Determination of the microbiological contamination in minced pork by culture dependent and 16S amplicon sequencing analysis</title><title>International journal of food microbiology</title><addtitle>Int J Food Microbiol</addtitle><description>Routine evaluation of bacterial contamination in minced pork is still mainly performed by the enumeration of indicator bacteria, including total aerobic colony count and E. coli, using standardized isolation methods. However, the bacterial community structure as well as the effect of the storage time and temperature on the aerobic plate count are largely unknown for this matrix. The aim of the study was to characterize the microbial community in minced pork by 16S rRNA amplicon sequencing compared to classical isolation methods combined with identification by Matrix-assisted laser desorption ionization-time of flight mass spectrometry (MALDI TOF MS) and 16S rRNA gene sequencing. Analysis of 14 unrelated samples showed that total aerobic counts determined at 30 °C and 7 °C showed no significant difference, but the richness was higher on PCA at 30 °C for 7 samples, equal in 5, and higher at 7 °C for 2 samples. Members of the genus Pseudomonas, along with the genera Brochothrix and Carnobacterium were commonly identified among both the mesophilic and psychrotrophic population. Comparing to 16S rRNA amplicon sequencing, some contrasting data were obtained. Except for Brochothrix spp. and Pseudomonas spp., that were abundant and always detected, genera obtained with the two methods in the same sample were not always the same. Comparison of different sample preparation techniques and DNA extraction methods demonstrated also in this matrix that different results on the microbial composition and complexity are obtained. Present data illustrate that the combined isolation and identification of isolates using MALDI TOF MS and 16S gene sequencing and overall community profiling using 16S rRNA amplicon sequencing provides complementary results and yields important insights into the complex relationship between microorganisms in a food.
•Total aerobic counts determined at 30 °C and 7 °C showed no significant difference.•Still a high number of unidentified bacteria when using MALDI-TOF MS•Sample preparation affects microbial composition and complexity.•Highest richness in microbial diversity was obtained by direct DNA extraction of the meat.•Bacterial diversity should be assessed by culture dependent and independent methods.</description><subject>16S rRNA amplicon sequencing</subject><subject>16S rRNA gene sequencing</subject><subject>Animals</subject><subject>Bacteria</subject><subject>Bacteria - genetics</subject><subject>Bacteria - growth & development</subject><subject>Bacteria - isolation & purification</subject><subject>Communities</subject><subject>Community structure</subject><subject>Complexity</subject><subject>Contamination</subject><subject>Deoxyribonucleic acid</subject><subject>DNA</subject><subject>E coli</subject><subject>Enumeration</subject><subject>Escherichia coli - genetics</subject><subject>Food contamination</subject><subject>Food Microbiology - methods</subject><subject>Gene sequencing</subject><subject>Identification methods</subject><subject>Ionization</subject><subject>Ions</subject><subject>Isolation</subject><subject>MALDI-TOF MS</subject><subject>Mass spectrometry</subject><subject>Mass spectroscopy</subject><subject>Meat - microbiology</subject><subject>Microbial contamination</subject><subject>Microbiota</subject><subject>Microorganisms</subject><subject>Plates (structural members)</subject><subject>Pork</subject><subject>Pseudomonas</subject><subject>RNA, Ribosomal, 16S - genetics</subject><subject>rRNA 16S</subject><subject>Sample preparation</subject><subject>Sequence Analysis, DNA</subject><subject>Spectrometry, Mass, Matrix-Assisted Laser Desorption-Ionization</subject><subject>Swine</subject><issn>0168-1605</issn><issn>1879-3460</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2019</creationdate><recordtype>article</recordtype><sourceid>EIF</sourceid><recordid>eNqNkU1v1DAQhi0EotvCX0BGXLgkjJ3EiY9o-ZQq9dBythx7UhwSO9hJpRV_Hi9bKsSpJx_8vDOj9yHkNYOSARPvxtKNQwh2diaGkgPrSpAl8OYJ2bGulUVVC3hKdpntCiagOSPnKY0A0FQVPCdnFXDJRSt25NcHXDHOzuvVBU_DQNfvSP8M7l2Ywq0zeqIm-FU_QM5nwBu0dAnxB-0P1GzTukWkFhf0Fv1KtbeUiWuq52VyOU4T_tzQG-dv85-eDsmlF-TZoKeEL-_fC_Lt08eb_Zfi8urz1_37y8LUNV8LYYWVErSRxnDdGM0H2RuUvK86XYPgfGhRdyClRoCa6c4a4K2ogeMwoKguyNvT3CWGfERa1eySwWnSHsOWFGesZY1o2iajb_5Dx7DFfO-RartGgKggU_JE5ZZSijioJbpZx4NioI6G1Kj-MaSOhhRIlQ3l7Kv7DVs_o31I_lWSgf0JwFzJncOoknF4rNtFNKuywT1izW8Ie6pW</recordid><startdate>20190202</startdate><enddate>20190202</enddate><creator>Peruzy, M.F.</creator><creator>Murru, N.</creator><creator>Yu, Z.</creator><creator>Cnockaert, M.</creator><creator>Joossens, M.</creator><creator>Proroga, Y.T.R.</creator><creator>Houf, K.</creator><general>Elsevier B.V</general><general>Elsevier BV</general><scope>CGR</scope><scope>CUY</scope><scope>CVF</scope><scope>ECM</scope><scope>EIF</scope><scope>NPM</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>7QL</scope><scope>7QO</scope><scope>7QR</scope><scope>7T7</scope><scope>7U9</scope><scope>8FD</scope><scope>C1K</scope><scope>FR3</scope><scope>H94</scope><scope>M7N</scope><scope>P64</scope><scope>RC3</scope><scope>7X8</scope></search><sort><creationdate>20190202</creationdate><title>Determination of the microbiological contamination in minced pork by culture dependent and 16S amplicon sequencing analysis</title><author>Peruzy, M.F. ; Murru, N. ; Yu, Z. ; Cnockaert, M. ; Joossens, M. ; Proroga, Y.T.R. ; Houf, K.</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c442t-6d6d990ac9cc2a5ca2f9bce92b38a40622f7ea8099ae0041a8dc0276402effe63</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2019</creationdate><topic>16S rRNA amplicon sequencing</topic><topic>16S rRNA gene sequencing</topic><topic>Animals</topic><topic>Bacteria</topic><topic>Bacteria - genetics</topic><topic>Bacteria - growth & development</topic><topic>Bacteria - isolation & purification</topic><topic>Communities</topic><topic>Community structure</topic><topic>Complexity</topic><topic>Contamination</topic><topic>Deoxyribonucleic acid</topic><topic>DNA</topic><topic>E coli</topic><topic>Enumeration</topic><topic>Escherichia coli - genetics</topic><topic>Food contamination</topic><topic>Food Microbiology - methods</topic><topic>Gene sequencing</topic><topic>Identification methods</topic><topic>Ionization</topic><topic>Ions</topic><topic>Isolation</topic><topic>MALDI-TOF MS</topic><topic>Mass spectrometry</topic><topic>Mass spectroscopy</topic><topic>Meat - microbiology</topic><topic>Microbial contamination</topic><topic>Microbiota</topic><topic>Microorganisms</topic><topic>Plates (structural members)</topic><topic>Pork</topic><topic>Pseudomonas</topic><topic>RNA, Ribosomal, 16S - genetics</topic><topic>rRNA 16S</topic><topic>Sample preparation</topic><topic>Sequence Analysis, DNA</topic><topic>Spectrometry, Mass, Matrix-Assisted Laser Desorption-Ionization</topic><topic>Swine</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Peruzy, M.F.</creatorcontrib><creatorcontrib>Murru, N.</creatorcontrib><creatorcontrib>Yu, Z.</creatorcontrib><creatorcontrib>Cnockaert, M.</creatorcontrib><creatorcontrib>Joossens, M.</creatorcontrib><creatorcontrib>Proroga, Y.T.R.</creatorcontrib><creatorcontrib>Houf, K.</creatorcontrib><collection>Medline</collection><collection>MEDLINE</collection><collection>MEDLINE (Ovid)</collection><collection>MEDLINE</collection><collection>MEDLINE</collection><collection>PubMed</collection><collection>CrossRef</collection><collection>Bacteriology Abstracts (Microbiology B)</collection><collection>Biotechnology Research Abstracts</collection><collection>Chemoreception Abstracts</collection><collection>Industrial and Applied Microbiology Abstracts (Microbiology A)</collection><collection>Virology and AIDS Abstracts</collection><collection>Technology Research Database</collection><collection>Environmental Sciences and Pollution Management</collection><collection>Engineering Research Database</collection><collection>AIDS and Cancer Research Abstracts</collection><collection>Algology Mycology and Protozoology Abstracts (Microbiology C)</collection><collection>Biotechnology and BioEngineering Abstracts</collection><collection>Genetics Abstracts</collection><collection>MEDLINE - Academic</collection><jtitle>International journal of food microbiology</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Peruzy, M.F.</au><au>Murru, N.</au><au>Yu, Z.</au><au>Cnockaert, M.</au><au>Joossens, M.</au><au>Proroga, Y.T.R.</au><au>Houf, K.</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Determination of the microbiological contamination in minced pork by culture dependent and 16S amplicon sequencing analysis</atitle><jtitle>International journal of food microbiology</jtitle><addtitle>Int J Food Microbiol</addtitle><date>2019-02-02</date><risdate>2019</risdate><volume>290</volume><spage>27</spage><epage>35</epage><pages>27-35</pages><issn>0168-1605</issn><eissn>1879-3460</eissn><abstract>Routine evaluation of bacterial contamination in minced pork is still mainly performed by the enumeration of indicator bacteria, including total aerobic colony count and E. coli, using standardized isolation methods. However, the bacterial community structure as well as the effect of the storage time and temperature on the aerobic plate count are largely unknown for this matrix. The aim of the study was to characterize the microbial community in minced pork by 16S rRNA amplicon sequencing compared to classical isolation methods combined with identification by Matrix-assisted laser desorption ionization-time of flight mass spectrometry (MALDI TOF MS) and 16S rRNA gene sequencing. Analysis of 14 unrelated samples showed that total aerobic counts determined at 30 °C and 7 °C showed no significant difference, but the richness was higher on PCA at 30 °C for 7 samples, equal in 5, and higher at 7 °C for 2 samples. Members of the genus Pseudomonas, along with the genera Brochothrix and Carnobacterium were commonly identified among both the mesophilic and psychrotrophic population. Comparing to 16S rRNA amplicon sequencing, some contrasting data were obtained. Except for Brochothrix spp. and Pseudomonas spp., that were abundant and always detected, genera obtained with the two methods in the same sample were not always the same. Comparison of different sample preparation techniques and DNA extraction methods demonstrated also in this matrix that different results on the microbial composition and complexity are obtained. Present data illustrate that the combined isolation and identification of isolates using MALDI TOF MS and 16S gene sequencing and overall community profiling using 16S rRNA amplicon sequencing provides complementary results and yields important insights into the complex relationship between microorganisms in a food.
•Total aerobic counts determined at 30 °C and 7 °C showed no significant difference.•Still a high number of unidentified bacteria when using MALDI-TOF MS•Sample preparation affects microbial composition and complexity.•Highest richness in microbial diversity was obtained by direct DNA extraction of the meat.•Bacterial diversity should be assessed by culture dependent and independent methods.</abstract><cop>Netherlands</cop><pub>Elsevier B.V</pub><pmid>30292676</pmid><doi>10.1016/j.ijfoodmicro.2018.09.025</doi><tpages>9</tpages></addata></record> |
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subjects | 16S rRNA amplicon sequencing 16S rRNA gene sequencing Animals Bacteria Bacteria - genetics Bacteria - growth & development Bacteria - isolation & purification Communities Community structure Complexity Contamination Deoxyribonucleic acid DNA E coli Enumeration Escherichia coli - genetics Food contamination Food Microbiology - methods Gene sequencing Identification methods Ionization Ions Isolation MALDI-TOF MS Mass spectrometry Mass spectroscopy Meat - microbiology Microbial contamination Microbiota Microorganisms Plates (structural members) Pork Pseudomonas RNA, Ribosomal, 16S - genetics rRNA 16S Sample preparation Sequence Analysis, DNA Spectrometry, Mass, Matrix-Assisted Laser Desorption-Ionization Swine |
title | Determination of the microbiological contamination in minced pork by culture dependent and 16S amplicon sequencing analysis |
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