Nitrate and nitrite pathways and dynamic changes in bacterial communities during beet sugar processing
Background Bacterial community successions were surveyed during the processing stages of sugar production using high‐throughput sequencing methods. Furthermore, the correlation between bacterial community and nitrate/nitrite content in beet sugar processing were investigated. Results In an analysis...
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Veröffentlicht in: | Journal of the science of food and agriculture 2022-01, Vol.102 (1), p.147-155 |
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description | Background
Bacterial community successions were surveyed during the processing stages of sugar production using high‐throughput sequencing methods. Furthermore, the correlation between bacterial community and nitrate/nitrite content in beet sugar processing were investigated.
Results
In an analysis of the V3–V4 region of the 16S rDNA gene, 254 122 effective sequences were obtained from samples, which included sugar beet, cossettes, diffusion juice, second‐phase diffusion juice, light juice and thick juice. The results showed that dominant genera included Pantoea, Pseudomonas, Leuconostoc and Burkholderia. Moreover, significant changes in bacterial communities were observed in samples. Regarding the relevant nitrogen metabolic potential, this study revealed communities with the ability for nitrate and nitrite metabolism. Furthermore, a shaking experiment involving diffusion juice and second‐phase diffusion juice was performed, and results showed that the nitrate level declined 73% and 98% in 36 h, respectively. These results suggested that the bacterial communities contribute to nitrate and nitrite transformation.
Conclusion
This study illustrated that the bacterial communities and their specific effects on the formation of nitrate and nitrite during beet sugar processing. The results presented the basic concept involving the nitrate‐ and nitrite‐forming pathways directly related to the mechanism of bacterial community growth. This study could facilitate an understanding of the correlation between nitrite content and microorganisms to guide beet sugar manufacturers regarding the control of nitrite and nitrate content. © 2021 Society of Chemical Industry. |
doi_str_mv | 10.1002/jsfa.11341 |
format | Article |
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Bacterial community successions were surveyed during the processing stages of sugar production using high‐throughput sequencing methods. Furthermore, the correlation between bacterial community and nitrate/nitrite content in beet sugar processing were investigated.
Results
In an analysis of the V3–V4 region of the 16S rDNA gene, 254 122 effective sequences were obtained from samples, which included sugar beet, cossettes, diffusion juice, second‐phase diffusion juice, light juice and thick juice. The results showed that dominant genera included Pantoea, Pseudomonas, Leuconostoc and Burkholderia. Moreover, significant changes in bacterial communities were observed in samples. Regarding the relevant nitrogen metabolic potential, this study revealed communities with the ability for nitrate and nitrite metabolism. Furthermore, a shaking experiment involving diffusion juice and second‐phase diffusion juice was performed, and results showed that the nitrate level declined 73% and 98% in 36 h, respectively. These results suggested that the bacterial communities contribute to nitrate and nitrite transformation.
Conclusion
This study illustrated that the bacterial communities and their specific effects on the formation of nitrate and nitrite during beet sugar processing. The results presented the basic concept involving the nitrate‐ and nitrite‐forming pathways directly related to the mechanism of bacterial community growth. This study could facilitate an understanding of the correlation between nitrite content and microorganisms to guide beet sugar manufacturers regarding the control of nitrite and nitrate content. © 2021 Society of Chemical Industry.</description><identifier>ISSN: 0022-5142</identifier><identifier>EISSN: 1097-0010</identifier><identifier>DOI: 10.1002/jsfa.11341</identifier><language>eng</language><publisher>Chichester, UK: John Wiley & Sons, Ltd</publisher><subject>Bacteria ; bacterial communities ; beet sugar ; Diffusion ; diffusion juice ; Juices ; Metabolism ; Microorganisms ; nitrate and nitrite ; Nitrates ; Nitrites ; rRNA 16S ; Shaking ; Sugar beets</subject><ispartof>Journal of the science of food and agriculture, 2022-01, Vol.102 (1), p.147-155</ispartof><rights>2021 Society of Chemical Industry.</rights><rights>Copyright © 2022 Society of Chemical Industry</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><cites>FETCH-LOGICAL-c2931-29badbd682fbbf153e0f16ecbfe0ce1c07e701ad45d0386e617aacbf3a0d88b33</cites><orcidid>0000-0001-7459-9202 ; 0000-0002-5016-1449</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://onlinelibrary.wiley.com/doi/pdf/10.1002%2Fjsfa.11341$$EPDF$$P50$$Gwiley$$H</linktopdf><linktohtml>$$Uhttps://onlinelibrary.wiley.com/doi/full/10.1002%2Fjsfa.11341$$EHTML$$P50$$Gwiley$$H</linktohtml><link.rule.ids>314,780,784,1417,27924,27925,45574,45575</link.rule.ids></links><search><creatorcontrib>Zhang, Shuanghong</creatorcontrib><creatorcontrib>Wu, Ziyi</creatorcontrib><creatorcontrib>Wang, Jian</creatorcontrib><creatorcontrib>Zhang, Sicong</creatorcontrib><creatorcontrib>Zhao, Shuna</creatorcontrib><creatorcontrib>Li, He</creatorcontrib><creatorcontrib>Zhao, Jinli</creatorcontrib><title>Nitrate and nitrite pathways and dynamic changes in bacterial communities during beet sugar processing</title><title>Journal of the science of food and agriculture</title><description>Background
Bacterial community successions were surveyed during the processing stages of sugar production using high‐throughput sequencing methods. Furthermore, the correlation between bacterial community and nitrate/nitrite content in beet sugar processing were investigated.
Results
In an analysis of the V3–V4 region of the 16S rDNA gene, 254 122 effective sequences were obtained from samples, which included sugar beet, cossettes, diffusion juice, second‐phase diffusion juice, light juice and thick juice. The results showed that dominant genera included Pantoea, Pseudomonas, Leuconostoc and Burkholderia. Moreover, significant changes in bacterial communities were observed in samples. Regarding the relevant nitrogen metabolic potential, this study revealed communities with the ability for nitrate and nitrite metabolism. Furthermore, a shaking experiment involving diffusion juice and second‐phase diffusion juice was performed, and results showed that the nitrate level declined 73% and 98% in 36 h, respectively. These results suggested that the bacterial communities contribute to nitrate and nitrite transformation.
Conclusion
This study illustrated that the bacterial communities and their specific effects on the formation of nitrate and nitrite during beet sugar processing. The results presented the basic concept involving the nitrate‐ and nitrite‐forming pathways directly related to the mechanism of bacterial community growth. This study could facilitate an understanding of the correlation between nitrite content and microorganisms to guide beet sugar manufacturers regarding the control of nitrite and nitrate content. © 2021 Society of Chemical Industry.</description><subject>Bacteria</subject><subject>bacterial communities</subject><subject>beet sugar</subject><subject>Diffusion</subject><subject>diffusion juice</subject><subject>Juices</subject><subject>Metabolism</subject><subject>Microorganisms</subject><subject>nitrate and nitrite</subject><subject>Nitrates</subject><subject>Nitrites</subject><subject>rRNA 16S</subject><subject>Shaking</subject><subject>Sugar beets</subject><issn>0022-5142</issn><issn>1097-0010</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2022</creationdate><recordtype>article</recordtype><recordid>eNp9kMtOw0AMRUcIJEphwxeMxAYhpdhJ81pWiPJQBQtgHTkTp50qjzKTqMrfM21YsWBly_fYvrpCXCPMEMC_39qSZojBHE_EBCGNPQCEUzFxou-FOPfPxYW1WwBI0yiaiPJNd4Y6ltQUsnG9dv2Ous2eBnscFkNDtVZSbahZs5W6kTmpjo2mSqq2rnu3pp1Q9EY3a5kzd9L2azJyZ1rF1rrppTgrqbJ89Vun4mv5-Pnw7K3en14eFitP-WmAnp_mVORFlPhlnpcYBgwlRqzykkExKog5BqRiHhYQJBFHGBM5NSAokiQPgqm4He-619892y6rtVVcVdRw29vMD4MQIUR3eipu_qDbtjeNc-eo1FkIkzhx1N1IKdNaa7jMdkbXZIYMITtEnh0iz46ROxhHeK8rHv4hs9eP5WLc-QHZ04WJ</recordid><startdate>20220115</startdate><enddate>20220115</enddate><creator>Zhang, Shuanghong</creator><creator>Wu, Ziyi</creator><creator>Wang, Jian</creator><creator>Zhang, Sicong</creator><creator>Zhao, Shuna</creator><creator>Li, He</creator><creator>Zhao, Jinli</creator><general>John Wiley & Sons, Ltd</general><general>John Wiley and Sons, Limited</general><scope>AAYXX</scope><scope>CITATION</scope><scope>7QF</scope><scope>7QL</scope><scope>7QQ</scope><scope>7QR</scope><scope>7SC</scope><scope>7SE</scope><scope>7SN</scope><scope>7SP</scope><scope>7SR</scope><scope>7ST</scope><scope>7T5</scope><scope>7T7</scope><scope>7TA</scope><scope>7TB</scope><scope>7TM</scope><scope>7U5</scope><scope>7U9</scope><scope>8BQ</scope><scope>8FD</scope><scope>C1K</scope><scope>F28</scope><scope>FR3</scope><scope>H8D</scope><scope>H8G</scope><scope>H94</scope><scope>JG9</scope><scope>JQ2</scope><scope>KR7</scope><scope>L7M</scope><scope>L~C</scope><scope>L~D</scope><scope>M7N</scope><scope>P64</scope><scope>SOI</scope><scope>7X8</scope><orcidid>https://orcid.org/0000-0001-7459-9202</orcidid><orcidid>https://orcid.org/0000-0002-5016-1449</orcidid></search><sort><creationdate>20220115</creationdate><title>Nitrate and nitrite pathways and dynamic changes in bacterial communities during beet sugar processing</title><author>Zhang, Shuanghong ; Wu, Ziyi ; Wang, Jian ; Zhang, Sicong ; Zhao, Shuna ; Li, He ; Zhao, Jinli</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c2931-29badbd682fbbf153e0f16ecbfe0ce1c07e701ad45d0386e617aacbf3a0d88b33</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2022</creationdate><topic>Bacteria</topic><topic>bacterial communities</topic><topic>beet sugar</topic><topic>Diffusion</topic><topic>diffusion juice</topic><topic>Juices</topic><topic>Metabolism</topic><topic>Microorganisms</topic><topic>nitrate and nitrite</topic><topic>Nitrates</topic><topic>Nitrites</topic><topic>rRNA 16S</topic><topic>Shaking</topic><topic>Sugar beets</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Zhang, Shuanghong</creatorcontrib><creatorcontrib>Wu, Ziyi</creatorcontrib><creatorcontrib>Wang, Jian</creatorcontrib><creatorcontrib>Zhang, Sicong</creatorcontrib><creatorcontrib>Zhao, Shuna</creatorcontrib><creatorcontrib>Li, He</creatorcontrib><creatorcontrib>Zhao, Jinli</creatorcontrib><collection>CrossRef</collection><collection>Aluminium Industry Abstracts</collection><collection>Bacteriology Abstracts (Microbiology B)</collection><collection>Ceramic Abstracts</collection><collection>Chemoreception Abstracts</collection><collection>Computer and Information Systems Abstracts</collection><collection>Corrosion Abstracts</collection><collection>Ecology Abstracts</collection><collection>Electronics & Communications Abstracts</collection><collection>Engineered Materials Abstracts</collection><collection>Environment Abstracts</collection><collection>Immunology Abstracts</collection><collection>Industrial and Applied Microbiology Abstracts (Microbiology A)</collection><collection>Materials Business File</collection><collection>Mechanical & Transportation Engineering Abstracts</collection><collection>Nucleic Acids Abstracts</collection><collection>Solid State and Superconductivity Abstracts</collection><collection>Virology and AIDS Abstracts</collection><collection>METADEX</collection><collection>Technology Research Database</collection><collection>Environmental Sciences and Pollution Management</collection><collection>ANTE: Abstracts in New Technology & Engineering</collection><collection>Engineering Research Database</collection><collection>Aerospace Database</collection><collection>Copper Technical Reference Library</collection><collection>AIDS and Cancer Research Abstracts</collection><collection>Materials Research Database</collection><collection>ProQuest Computer Science Collection</collection><collection>Civil Engineering Abstracts</collection><collection>Advanced Technologies Database with Aerospace</collection><collection>Computer and Information Systems Abstracts Academic</collection><collection>Computer and Information Systems Abstracts Professional</collection><collection>Algology Mycology and Protozoology Abstracts (Microbiology C)</collection><collection>Biotechnology and BioEngineering Abstracts</collection><collection>Environment Abstracts</collection><collection>MEDLINE - Academic</collection><jtitle>Journal of the science of food and agriculture</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Zhang, Shuanghong</au><au>Wu, Ziyi</au><au>Wang, Jian</au><au>Zhang, Sicong</au><au>Zhao, Shuna</au><au>Li, He</au><au>Zhao, Jinli</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Nitrate and nitrite pathways and dynamic changes in bacterial communities during beet sugar processing</atitle><jtitle>Journal of the science of food and agriculture</jtitle><date>2022-01-15</date><risdate>2022</risdate><volume>102</volume><issue>1</issue><spage>147</spage><epage>155</epage><pages>147-155</pages><issn>0022-5142</issn><eissn>1097-0010</eissn><abstract>Background
Bacterial community successions were surveyed during the processing stages of sugar production using high‐throughput sequencing methods. Furthermore, the correlation between bacterial community and nitrate/nitrite content in beet sugar processing were investigated.
Results
In an analysis of the V3–V4 region of the 16S rDNA gene, 254 122 effective sequences were obtained from samples, which included sugar beet, cossettes, diffusion juice, second‐phase diffusion juice, light juice and thick juice. The results showed that dominant genera included Pantoea, Pseudomonas, Leuconostoc and Burkholderia. Moreover, significant changes in bacterial communities were observed in samples. Regarding the relevant nitrogen metabolic potential, this study revealed communities with the ability for nitrate and nitrite metabolism. Furthermore, a shaking experiment involving diffusion juice and second‐phase diffusion juice was performed, and results showed that the nitrate level declined 73% and 98% in 36 h, respectively. These results suggested that the bacterial communities contribute to nitrate and nitrite transformation.
Conclusion
This study illustrated that the bacterial communities and their specific effects on the formation of nitrate and nitrite during beet sugar processing. The results presented the basic concept involving the nitrate‐ and nitrite‐forming pathways directly related to the mechanism of bacterial community growth. This study could facilitate an understanding of the correlation between nitrite content and microorganisms to guide beet sugar manufacturers regarding the control of nitrite and nitrate content. © 2021 Society of Chemical Industry.</abstract><cop>Chichester, UK</cop><pub>John Wiley & Sons, Ltd</pub><doi>10.1002/jsfa.11341</doi><tpages>9</tpages><orcidid>https://orcid.org/0000-0001-7459-9202</orcidid><orcidid>https://orcid.org/0000-0002-5016-1449</orcidid></addata></record> |
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subjects | Bacteria bacterial communities beet sugar Diffusion diffusion juice Juices Metabolism Microorganisms nitrate and nitrite Nitrates Nitrites rRNA 16S Shaking Sugar beets |
title | Nitrate and nitrite pathways and dynamic changes in bacterial communities during beet sugar processing |
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