Distribution Pattern and Influencing Factors of Heavy Metal Resistance Genes in the Yellow River Sediments of Henan Section
The transformation of heavy metal resistance genes (MRGs) in the environment has attracted increasing attention in recent years. However, few studies have reported the MRG content in the Yellow River, one of the main irrigation water sources in the North China Plain. In this study, we quantified MRG...
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| Veröffentlicht in: | International journal of environmental research and public health 2022-08, Vol.19 (17), p.10724 |
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| creator | Zhang, Kai Li, Kuangjia Tong, Minghui Xia, Yangchun Cui, Yongxin Liu, Ziyi Chen, Qi Li, Qidi Hu, Feiyue Yang, Fengxia |
| description | The transformation of heavy metal resistance genes (MRGs) in the environment has attracted increasing attention in recent years. However, few studies have reported the MRG content in the Yellow River, one of the main irrigation water sources in the North China Plain. In this study, we quantified MRG abundance by a metagenomic approach, and assessed the influence on MRGs of both bioavailable and total heavy metal (HM) content. The results indicate that Cu-resistant genes are the most common genes, and the prevalence of
M needs more attention.
is the dominant family in the Yellow River, and the presence of organic pollutants may contribute to the prevalence of
,
, and
. The results of the Mantel test and Spearman analysis indicate that both the bioavailable fractions and total content of HMs could have little influence on MRGs. Network analysis results indicate that some dominant bacteria could be the potential hosts of some prevalent MRGs, which may exert an adverse impact on human health. |
| doi_str_mv | 10.3390/ijerph191710724 |
| format | Article |
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M needs more attention.
is the dominant family in the Yellow River, and the presence of organic pollutants may contribute to the prevalence of
,
, and
. The results of the Mantel test and Spearman analysis indicate that both the bioavailable fractions and total content of HMs could have little influence on MRGs. Network analysis results indicate that some dominant bacteria could be the potential hosts of some prevalent MRGs, which may exert an adverse impact on human health.</description><identifier>ISSN: 1660-4601</identifier><identifier>ISSN: 1661-7827</identifier><identifier>EISSN: 1660-4601</identifier><identifier>DOI: 10.3390/ijerph191710724</identifier><identifier>PMID: 36078440</identifier><language>eng</language><publisher>Switzerland: MDPI AG</publisher><subject>Bacteria ; Bioavailability ; China ; Environmental Monitoring - methods ; Fluvial sediments ; Genes ; Geologic Sediments - microbiology ; Heavy metals ; Humans ; Irrigation ; Irrigation water ; Metagenomics ; Metals ; Metals, Heavy - analysis ; Network analysis ; Pollutants ; Pollution ; Quality control ; Resistance factors ; Risk Assessment ; Rivers ; Rivers - microbiology ; Sediments ; Soil contamination ; Water Pollutants, Chemical - analysis</subject><ispartof>International journal of environmental research and public health, 2022-08, Vol.19 (17), p.10724</ispartof><rights>2022 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.</rights><rights>2022 by the authors. 2022</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c421t-a2129322610125b1483d51d694790a83e7e652a9e985b7f01b7e04616263a5193</citedby><cites>FETCH-LOGICAL-c421t-a2129322610125b1483d51d694790a83e7e652a9e985b7f01b7e04616263a5193</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://www.ncbi.nlm.nih.gov/pmc/articles/PMC9517883/pdf/$$EPDF$$P50$$Gpubmedcentral$$Hfree_for_read</linktopdf><linktohtml>$$Uhttps://www.ncbi.nlm.nih.gov/pmc/articles/PMC9517883/$$EHTML$$P50$$Gpubmedcentral$$Hfree_for_read</linktohtml><link.rule.ids>230,314,723,776,780,881,27901,27902,53766,53768</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/36078440$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Zhang, Kai</creatorcontrib><creatorcontrib>Li, Kuangjia</creatorcontrib><creatorcontrib>Tong, Minghui</creatorcontrib><creatorcontrib>Xia, Yangchun</creatorcontrib><creatorcontrib>Cui, Yongxin</creatorcontrib><creatorcontrib>Liu, Ziyi</creatorcontrib><creatorcontrib>Chen, Qi</creatorcontrib><creatorcontrib>Li, Qidi</creatorcontrib><creatorcontrib>Hu, Feiyue</creatorcontrib><creatorcontrib>Yang, Fengxia</creatorcontrib><title>Distribution Pattern and Influencing Factors of Heavy Metal Resistance Genes in the Yellow River Sediments of Henan Section</title><title>International journal of environmental research and public health</title><addtitle>Int J Environ Res Public Health</addtitle><description>The transformation of heavy metal resistance genes (MRGs) in the environment has attracted increasing attention in recent years. However, few studies have reported the MRG content in the Yellow River, one of the main irrigation water sources in the North China Plain. In this study, we quantified MRG abundance by a metagenomic approach, and assessed the influence on MRGs of both bioavailable and total heavy metal (HM) content. The results indicate that Cu-resistant genes are the most common genes, and the prevalence of
M needs more attention.
is the dominant family in the Yellow River, and the presence of organic pollutants may contribute to the prevalence of
,
, and
. The results of the Mantel test and Spearman analysis indicate that both the bioavailable fractions and total content of HMs could have little influence on MRGs. Network analysis results indicate that some dominant bacteria could be the potential hosts of some prevalent MRGs, which may exert an adverse impact on human health.</description><subject>Bacteria</subject><subject>Bioavailability</subject><subject>China</subject><subject>Environmental Monitoring - methods</subject><subject>Fluvial sediments</subject><subject>Genes</subject><subject>Geologic Sediments - microbiology</subject><subject>Heavy metals</subject><subject>Humans</subject><subject>Irrigation</subject><subject>Irrigation water</subject><subject>Metagenomics</subject><subject>Metals</subject><subject>Metals, Heavy - analysis</subject><subject>Network analysis</subject><subject>Pollutants</subject><subject>Pollution</subject><subject>Quality control</subject><subject>Resistance factors</subject><subject>Risk Assessment</subject><subject>Rivers</subject><subject>Rivers - microbiology</subject><subject>Sediments</subject><subject>Soil contamination</subject><subject>Water Pollutants, Chemical - analysis</subject><issn>1660-4601</issn><issn>1661-7827</issn><issn>1660-4601</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2022</creationdate><recordtype>article</recordtype><sourceid>EIF</sourceid><sourceid>BENPR</sourceid><recordid>eNpdUUtr3DAQFqWhSZOeeyuCnjfRSLJkXQolb0hJyOOQk5DtcVaLV9pK8oaQP1-HbEPa0wwz3ws-Qr4C2xfCsAO_wLSagwENTHP5geyAUmwmFYOP7_Zt8jnnBWOilsp8IttCMV1LyXbI85HPJflmLD4GeuVKwRSoCx09D_0wYmh9eKAnri0xZRp7eoZu_UR_YXEDvcY8sV1okZ5iwEx9oGWO9B6HIT7Sa7_GRG-w80sMZcMOLkyn9sVuj2z1bsj4ZTN3yd3J8e3h2ezi8vT88OfFrJUcysxx4EZwroABrxqQtegq6JSR2jBXC9SoKu4MmrpqdM-g0cikAsWVcBUYsUt-vOquxmaJXTuFSW6wq-SXLj3Z6Lz99xP83D7EtTUV6LoWk8D3jUCKv0fMxS7imMKU2XINIFjNhZxQB6-oNsWcE_ZvDsDsS1v2v7Ymxrf3wd7wf-sRfwDt7pG7</recordid><startdate>20220828</startdate><enddate>20220828</enddate><creator>Zhang, Kai</creator><creator>Li, Kuangjia</creator><creator>Tong, Minghui</creator><creator>Xia, Yangchun</creator><creator>Cui, Yongxin</creator><creator>Liu, Ziyi</creator><creator>Chen, Qi</creator><creator>Li, Qidi</creator><creator>Hu, Feiyue</creator><creator>Yang, Fengxia</creator><general>MDPI AG</general><general>MDPI</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>3V.</scope><scope>7X7</scope><scope>7XB</scope><scope>88E</scope><scope>8C1</scope><scope>8FI</scope><scope>8FJ</scope><scope>8FK</scope><scope>ABUWG</scope><scope>AFKRA</scope><scope>AZQEC</scope><scope>BENPR</scope><scope>CCPQU</scope><scope>DWQXO</scope><scope>FYUFA</scope><scope>GHDGH</scope><scope>K9.</scope><scope>M0S</scope><scope>M1P</scope><scope>PIMPY</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>PRINS</scope><scope>5PM</scope></search><sort><creationdate>20220828</creationdate><title>Distribution Pattern and Influencing Factors of Heavy Metal Resistance Genes in the Yellow River Sediments of Henan Section</title><author>Zhang, Kai ; Li, Kuangjia ; Tong, Minghui ; Xia, Yangchun ; Cui, Yongxin ; Liu, Ziyi ; Chen, Qi ; Li, Qidi ; Hu, Feiyue ; Yang, Fengxia</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c421t-a2129322610125b1483d51d694790a83e7e652a9e985b7f01b7e04616263a5193</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2022</creationdate><topic>Bacteria</topic><topic>Bioavailability</topic><topic>China</topic><topic>Environmental Monitoring - methods</topic><topic>Fluvial sediments</topic><topic>Genes</topic><topic>Geologic Sediments - microbiology</topic><topic>Heavy metals</topic><topic>Humans</topic><topic>Irrigation</topic><topic>Irrigation water</topic><topic>Metagenomics</topic><topic>Metals</topic><topic>Metals, Heavy - analysis</topic><topic>Network analysis</topic><topic>Pollutants</topic><topic>Pollution</topic><topic>Quality control</topic><topic>Resistance factors</topic><topic>Risk Assessment</topic><topic>Rivers</topic><topic>Rivers - microbiology</topic><topic>Sediments</topic><topic>Soil contamination</topic><topic>Water Pollutants, Chemical - analysis</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Zhang, Kai</creatorcontrib><creatorcontrib>Li, Kuangjia</creatorcontrib><creatorcontrib>Tong, Minghui</creatorcontrib><creatorcontrib>Xia, Yangchun</creatorcontrib><creatorcontrib>Cui, Yongxin</creatorcontrib><creatorcontrib>Liu, Ziyi</creatorcontrib><creatorcontrib>Chen, Qi</creatorcontrib><creatorcontrib>Li, Qidi</creatorcontrib><creatorcontrib>Hu, Feiyue</creatorcontrib><creatorcontrib>Yang, Fengxia</creatorcontrib><collection>Medline</collection><collection>MEDLINE</collection><collection>MEDLINE (Ovid)</collection><collection>MEDLINE</collection><collection>MEDLINE</collection><collection>PubMed</collection><collection>CrossRef</collection><collection>ProQuest Central (Corporate)</collection><collection>Health & Medical Collection</collection><collection>ProQuest Central (purchase pre-March 2016)</collection><collection>Medical Database (Alumni Edition)</collection><collection>ProQuest Public Health Database</collection><collection>Hospital Premium Collection</collection><collection>Hospital Premium Collection (Alumni Edition)</collection><collection>ProQuest Central (Alumni) (purchase pre-March 2016)</collection><collection>ProQuest Central (Alumni Edition)</collection><collection>ProQuest Central UK/Ireland</collection><collection>ProQuest Central Essentials</collection><collection>ProQuest Central</collection><collection>ProQuest One Community College</collection><collection>ProQuest Central Korea</collection><collection>Health Research Premium Collection</collection><collection>Health Research Premium Collection (Alumni)</collection><collection>ProQuest Health & Medical Complete (Alumni)</collection><collection>Health & Medical Collection (Alumni Edition)</collection><collection>Medical Database</collection><collection>Publicly Available Content Database</collection><collection>ProQuest One Academic Eastern Edition (DO NOT USE)</collection><collection>ProQuest One Academic</collection><collection>ProQuest One Academic UKI Edition</collection><collection>ProQuest Central China</collection><collection>PubMed Central (Full Participant titles)</collection><jtitle>International journal of environmental research and public health</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Zhang, Kai</au><au>Li, Kuangjia</au><au>Tong, Minghui</au><au>Xia, Yangchun</au><au>Cui, Yongxin</au><au>Liu, Ziyi</au><au>Chen, Qi</au><au>Li, Qidi</au><au>Hu, Feiyue</au><au>Yang, Fengxia</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Distribution Pattern and Influencing Factors of Heavy Metal Resistance Genes in the Yellow River Sediments of Henan Section</atitle><jtitle>International journal of environmental research and public health</jtitle><addtitle>Int J Environ Res Public Health</addtitle><date>2022-08-28</date><risdate>2022</risdate><volume>19</volume><issue>17</issue><spage>10724</spage><pages>10724-</pages><issn>1660-4601</issn><issn>1661-7827</issn><eissn>1660-4601</eissn><abstract>The transformation of heavy metal resistance genes (MRGs) in the environment has attracted increasing attention in recent years. However, few studies have reported the MRG content in the Yellow River, one of the main irrigation water sources in the North China Plain. In this study, we quantified MRG abundance by a metagenomic approach, and assessed the influence on MRGs of both bioavailable and total heavy metal (HM) content. The results indicate that Cu-resistant genes are the most common genes, and the prevalence of
M needs more attention.
is the dominant family in the Yellow River, and the presence of organic pollutants may contribute to the prevalence of
,
, and
. The results of the Mantel test and Spearman analysis indicate that both the bioavailable fractions and total content of HMs could have little influence on MRGs. Network analysis results indicate that some dominant bacteria could be the potential hosts of some prevalent MRGs, which may exert an adverse impact on human health.</abstract><cop>Switzerland</cop><pub>MDPI AG</pub><pmid>36078440</pmid><doi>10.3390/ijerph191710724</doi><oa>free_for_read</oa></addata></record> |
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| ispartof | International journal of environmental research and public health, 2022-08, Vol.19 (17), p.10724 |
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| subjects | Bacteria Bioavailability China Environmental Monitoring - methods Fluvial sediments Genes Geologic Sediments - microbiology Heavy metals Humans Irrigation Irrigation water Metagenomics Metals Metals, Heavy - analysis Network analysis Pollutants Pollution Quality control Resistance factors Risk Assessment Rivers Rivers - microbiology Sediments Soil contamination Water Pollutants, Chemical - analysis |
| title | Distribution Pattern and Influencing Factors of Heavy Metal Resistance Genes in the Yellow River Sediments of Henan Section |
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