How sequential reduction of terminal electron acceptors modulates nitrification and dynamics of nitrifying bacteria and archaea in a tropical vertisol
Nitrification potential of a tropical vertisol saturated with water was estimated during sequential reduction of nitrate (NO3−), ferric iron (Fe3+), sulphate (SO42−) and carbon dioxide (CO2) in terminal electron-accepting processes (TEAPs). In general, the TEAPs enhanced potential nitrification rate...
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| Veröffentlicht in: | The Journal of agricultural science 2018-03, Vol.156 (2), p.215-224 |
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| creator | Mohanty, Santosh Ranjan Yadav, Rakhi Dubey, Garima Ahirwar, Usha Ahirwar, Neha Aparna, K. Rao, D. L. N. Kollah, Bharati |
| description | Nitrification potential of a tropical vertisol saturated with water was estimated during sequential reduction of nitrate (NO3−), ferric iron (Fe3+), sulphate (SO42−) and carbon dioxide (CO2) in terminal electron-accepting processes (TEAPs). In general, the TEAPs enhanced potential nitrification rate (PNR) of the soil. Nitrification was highest at Fe3+ reduction followed by SO42− reduction, NO3− reduction and lowest in unreduced control soil. Predicted PNR correlated significantly with the observed PNR. Electron donor Fe2+ stimulated PNR, while S2− inhibited it significantly. Terminal-restriction fragment length polymorphism targeting the amoA gene of ammonia-oxidizing bacteria (AOB) and ammonia-oxidizing archaea (AOA) highlighted population dynamics during the sequential reduction of terminal electron acceptors. Only the relative abundance of AOA varied significantly during the course of soil reduction. Relative abundance of AOB correlated with NO3− and Fe2+. Linear regression models predicted PNR from the values of NO3−, Fe2+ and relative abundance of AOA. Principal component analysis of PNR during different reducing conditions explained 72.90% variance by PC1 and 19.52% variance by PC2. Results revealed that AOA might have a significant role in nitrification during reducing conditions in the tropical flooded ecosystem of a vertisol. |
| doi_str_mv | 10.1017/S0021859618000266 |
| format | Article |
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L. N. ; Kollah, Bharati</creator><creatorcontrib>Mohanty, Santosh Ranjan ; Yadav, Rakhi ; Dubey, Garima ; Ahirwar, Usha ; Ahirwar, Neha ; Aparna, K. ; Rao, D. L. N. ; Kollah, Bharati</creatorcontrib><description>Nitrification potential of a tropical vertisol saturated with water was estimated during sequential reduction of nitrate (NO3−), ferric iron (Fe3+), sulphate (SO42−) and carbon dioxide (CO2) in terminal electron-accepting processes (TEAPs). In general, the TEAPs enhanced potential nitrification rate (PNR) of the soil. Nitrification was highest at Fe3+ reduction followed by SO42− reduction, NO3− reduction and lowest in unreduced control soil. Predicted PNR correlated significantly with the observed PNR. Electron donor Fe2+ stimulated PNR, while S2− inhibited it significantly. Terminal-restriction fragment length polymorphism targeting the amoA gene of ammonia-oxidizing bacteria (AOB) and ammonia-oxidizing archaea (AOA) highlighted population dynamics during the sequential reduction of terminal electron acceptors. Only the relative abundance of AOA varied significantly during the course of soil reduction. Relative abundance of AOB correlated with NO3− and Fe2+. Linear regression models predicted PNR from the values of NO3−, Fe2+ and relative abundance of AOA. Principal component analysis of PNR during different reducing conditions explained 72.90% variance by PC1 and 19.52% variance by PC2. Results revealed that AOA might have a significant role in nitrification during reducing conditions in the tropical flooded ecosystem of a vertisol.</description><identifier>ISSN: 0021-8596</identifier><identifier>EISSN: 1469-5146</identifier><identifier>DOI: 10.1017/S0021859618000266</identifier><language>eng</language><publisher>Cambridge, UK: Cambridge University Press</publisher><subject>Abundance ; Ammonia ; Ammonia-oxidizing bacteria ; AmoA gene ; Archaea ; Bacteria ; Biogeochemistry ; Carbon dioxide ; Crops and Soils Research Paper ; Electrons ; Experiments ; Forest soils ; Gene polymorphism ; Genes ; Iron ; Metabolism ; Microbiology ; Microorganisms ; Nitrification ; Nitrifying bacteria ; Nitrogen dioxide ; Nitrosomonas ; Nitrospira ; Oxidation ; Polymorphism ; Precipitation ; Predictive control ; Principal components analysis ; Reduction ; Regression analysis ; Regression models ; Relative abundance ; Restriction fragment length polymorphism ; Sediments ; Soil sciences ; Water treatment</subject><ispartof>The Journal of agricultural science, 2018-03, Vol.156 (2), p.215-224</ispartof><rights>Copyright © Cambridge University Press 2018</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c317t-18ea2c7b07ebf21712a0119ab348f4eb273259d68760546a25488268f78bff463</citedby><cites>FETCH-LOGICAL-c317t-18ea2c7b07ebf21712a0119ab348f4eb273259d68760546a25488268f78bff463</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktohtml>$$Uhttps://www.cambridge.org/core/product/identifier/S0021859618000266/type/journal_article$$EHTML$$P50$$Gcambridge$$H</linktohtml><link.rule.ids>164,314,780,784,27923,27924,55627</link.rule.ids></links><search><creatorcontrib>Mohanty, Santosh Ranjan</creatorcontrib><creatorcontrib>Yadav, Rakhi</creatorcontrib><creatorcontrib>Dubey, Garima</creatorcontrib><creatorcontrib>Ahirwar, Usha</creatorcontrib><creatorcontrib>Ahirwar, Neha</creatorcontrib><creatorcontrib>Aparna, K.</creatorcontrib><creatorcontrib>Rao, D. L. N.</creatorcontrib><creatorcontrib>Kollah, Bharati</creatorcontrib><title>How sequential reduction of terminal electron acceptors modulates nitrification and dynamics of nitrifying bacteria and archaea in a tropical vertisol</title><title>The Journal of agricultural science</title><addtitle>J. Agric. Sci</addtitle><description>Nitrification potential of a tropical vertisol saturated with water was estimated during sequential reduction of nitrate (NO3−), ferric iron (Fe3+), sulphate (SO42−) and carbon dioxide (CO2) in terminal electron-accepting processes (TEAPs). In general, the TEAPs enhanced potential nitrification rate (PNR) of the soil. Nitrification was highest at Fe3+ reduction followed by SO42− reduction, NO3− reduction and lowest in unreduced control soil. Predicted PNR correlated significantly with the observed PNR. Electron donor Fe2+ stimulated PNR, while S2− inhibited it significantly. Terminal-restriction fragment length polymorphism targeting the amoA gene of ammonia-oxidizing bacteria (AOB) and ammonia-oxidizing archaea (AOA) highlighted population dynamics during the sequential reduction of terminal electron acceptors. Only the relative abundance of AOA varied significantly during the course of soil reduction. Relative abundance of AOB correlated with NO3− and Fe2+. Linear regression models predicted PNR from the values of NO3−, Fe2+ and relative abundance of AOA. Principal component analysis of PNR during different reducing conditions explained 72.90% variance by PC1 and 19.52% variance by PC2. Results revealed that AOA might have a significant role in nitrification during reducing conditions in the tropical flooded ecosystem of a vertisol.</description><subject>Abundance</subject><subject>Ammonia</subject><subject>Ammonia-oxidizing bacteria</subject><subject>AmoA gene</subject><subject>Archaea</subject><subject>Bacteria</subject><subject>Biogeochemistry</subject><subject>Carbon dioxide</subject><subject>Crops and Soils Research Paper</subject><subject>Electrons</subject><subject>Experiments</subject><subject>Forest soils</subject><subject>Gene polymorphism</subject><subject>Genes</subject><subject>Iron</subject><subject>Metabolism</subject><subject>Microbiology</subject><subject>Microorganisms</subject><subject>Nitrification</subject><subject>Nitrifying bacteria</subject><subject>Nitrogen dioxide</subject><subject>Nitrosomonas</subject><subject>Nitrospira</subject><subject>Oxidation</subject><subject>Polymorphism</subject><subject>Precipitation</subject><subject>Predictive control</subject><subject>Principal components analysis</subject><subject>Reduction</subject><subject>Regression analysis</subject><subject>Regression models</subject><subject>Relative abundance</subject><subject>Restriction fragment length polymorphism</subject><subject>Sediments</subject><subject>Soil sciences</subject><subject>Water treatment</subject><issn>0021-8596</issn><issn>1469-5146</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2018</creationdate><recordtype>article</recordtype><sourceid>8G5</sourceid><sourceid>ABUWG</sourceid><sourceid>AFKRA</sourceid><sourceid>AZQEC</sourceid><sourceid>BENPR</sourceid><sourceid>CCPQU</sourceid><sourceid>DWQXO</sourceid><sourceid>GNUQQ</sourceid><sourceid>GUQSH</sourceid><sourceid>M2O</sourceid><recordid>eNp1kM1KxDAURoMoOP48gLuA62qStkm6lEEdYcCFui63aTJmaJsxSZV5EZ_XdGbAhbhJwv2-cyAXoStKbiih4vaFEEZlWXEqSXpyfoRmtOBVVqbzGM2mOJvyU3QWwjp1BKnkDH0v3BcO-mPUQ7TQYa_bUUXrBuwMjtr3dkhT3WkVfRqCUnoTnQ-4d-3YQdQBDzZ6a6yCHQZDi9vtAL1VYXLs060dVrgBlYwWdh3w6h00YJsQnNybJOjwp_bRBtddoBMDXdCXh_scvT3cv84X2fL58Wl-t8xUTkXMqNTAlGiI0I1hVFAGhNIKmryQptANEzkrq5ZLwUlZcGBlISXj0gjZGFPw_Bxd770b79IOQqzXbvTpy6FmJKGMV5ylFt23lHcheG3qjbc9-G1NST2tv_6z_sTkBwb6xtt2pX_V_1M_p5uJsw</recordid><startdate>201803</startdate><enddate>201803</enddate><creator>Mohanty, Santosh Ranjan</creator><creator>Yadav, Rakhi</creator><creator>Dubey, Garima</creator><creator>Ahirwar, Usha</creator><creator>Ahirwar, Neha</creator><creator>Aparna, K.</creator><creator>Rao, D. 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N.</creator><creator>Kollah, Bharati</creator><general>Cambridge University Press</general><scope>AAYXX</scope><scope>CITATION</scope><scope>3V.</scope><scope>7ST</scope><scope>7X2</scope><scope>7XB</scope><scope>8FE</scope><scope>8FG</scope><scope>8FH</scope><scope>8FK</scope><scope>8G5</scope><scope>ABJCF</scope><scope>ABUWG</scope><scope>AEUYN</scope><scope>AFKRA</scope><scope>ATCPS</scope><scope>AZQEC</scope><scope>BENPR</scope><scope>BGLVJ</scope><scope>BHPHI</scope><scope>C1K</scope><scope>CCPQU</scope><scope>DWQXO</scope><scope>GNUQQ</scope><scope>GUQSH</scope><scope>HCIFZ</scope><scope>L6V</scope><scope>M0K</scope><scope>M2O</scope><scope>M7S</scope><scope>MBDVC</scope><scope>PATMY</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>PTHSS</scope><scope>PYCSY</scope><scope>Q9U</scope><scope>SOI</scope></search><sort><creationdate>201803</creationdate><title>How sequential reduction of terminal electron acceptors modulates nitrification and dynamics of nitrifying bacteria and archaea in a tropical vertisol</title><author>Mohanty, Santosh Ranjan ; Yadav, Rakhi ; Dubey, Garima ; Ahirwar, Usha ; Ahirwar, Neha ; Aparna, K. ; Rao, D. 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N. ; Kollah, Bharati</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c317t-18ea2c7b07ebf21712a0119ab348f4eb273259d68760546a25488268f78bff463</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2018</creationdate><topic>Abundance</topic><topic>Ammonia</topic><topic>Ammonia-oxidizing bacteria</topic><topic>AmoA gene</topic><topic>Archaea</topic><topic>Bacteria</topic><topic>Biogeochemistry</topic><topic>Carbon dioxide</topic><topic>Crops and Soils Research Paper</topic><topic>Electrons</topic><topic>Experiments</topic><topic>Forest soils</topic><topic>Gene polymorphism</topic><topic>Genes</topic><topic>Iron</topic><topic>Metabolism</topic><topic>Microbiology</topic><topic>Microorganisms</topic><topic>Nitrification</topic><topic>Nitrifying bacteria</topic><topic>Nitrogen dioxide</topic><topic>Nitrosomonas</topic><topic>Nitrospira</topic><topic>Oxidation</topic><topic>Polymorphism</topic><topic>Precipitation</topic><topic>Predictive control</topic><topic>Principal components analysis</topic><topic>Reduction</topic><topic>Regression analysis</topic><topic>Regression models</topic><topic>Relative abundance</topic><topic>Restriction fragment length polymorphism</topic><topic>Sediments</topic><topic>Soil sciences</topic><topic>Water treatment</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Mohanty, Santosh Ranjan</creatorcontrib><creatorcontrib>Yadav, Rakhi</creatorcontrib><creatorcontrib>Dubey, Garima</creatorcontrib><creatorcontrib>Ahirwar, Usha</creatorcontrib><creatorcontrib>Ahirwar, Neha</creatorcontrib><creatorcontrib>Aparna, K.</creatorcontrib><creatorcontrib>Rao, D. 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L. N.</au><au>Kollah, Bharati</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>How sequential reduction of terminal electron acceptors modulates nitrification and dynamics of nitrifying bacteria and archaea in a tropical vertisol</atitle><jtitle>The Journal of agricultural science</jtitle><addtitle>J. Agric. Sci</addtitle><date>2018-03</date><risdate>2018</risdate><volume>156</volume><issue>2</issue><spage>215</spage><epage>224</epage><pages>215-224</pages><issn>0021-8596</issn><eissn>1469-5146</eissn><abstract>Nitrification potential of a tropical vertisol saturated with water was estimated during sequential reduction of nitrate (NO3−), ferric iron (Fe3+), sulphate (SO42−) and carbon dioxide (CO2) in terminal electron-accepting processes (TEAPs). In general, the TEAPs enhanced potential nitrification rate (PNR) of the soil. Nitrification was highest at Fe3+ reduction followed by SO42− reduction, NO3− reduction and lowest in unreduced control soil. Predicted PNR correlated significantly with the observed PNR. Electron donor Fe2+ stimulated PNR, while S2− inhibited it significantly. Terminal-restriction fragment length polymorphism targeting the amoA gene of ammonia-oxidizing bacteria (AOB) and ammonia-oxidizing archaea (AOA) highlighted population dynamics during the sequential reduction of terminal electron acceptors. Only the relative abundance of AOA varied significantly during the course of soil reduction. Relative abundance of AOB correlated with NO3− and Fe2+. Linear regression models predicted PNR from the values of NO3−, Fe2+ and relative abundance of AOA. Principal component analysis of PNR during different reducing conditions explained 72.90% variance by PC1 and 19.52% variance by PC2. Results revealed that AOA might have a significant role in nitrification during reducing conditions in the tropical flooded ecosystem of a vertisol.</abstract><cop>Cambridge, UK</cop><pub>Cambridge University Press</pub><doi>10.1017/S0021859618000266</doi><tpages>10</tpages></addata></record> |
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| subjects | Abundance Ammonia Ammonia-oxidizing bacteria AmoA gene Archaea Bacteria Biogeochemistry Carbon dioxide Crops and Soils Research Paper Electrons Experiments Forest soils Gene polymorphism Genes Iron Metabolism Microbiology Microorganisms Nitrification Nitrifying bacteria Nitrogen dioxide Nitrosomonas Nitrospira Oxidation Polymorphism Precipitation Predictive control Principal components analysis Reduction Regression analysis Regression models Relative abundance Restriction fragment length polymorphism Sediments Soil sciences Water treatment |
| title | How sequential reduction of terminal electron acceptors modulates nitrification and dynamics of nitrifying bacteria and archaea in a tropical vertisol |
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