CH4 flux and methanogen community dynamics from five common emergent vegetations in a full-scale constructed wetland
To investigate the effects of emergent plants on CH 4 efflux and elucidate the key factors responsible for these effects, annual monitoring of CH 4 emissions and methanogen community dynamics in a full-scale constructed wetland (CW) was conducted. Five emergent plants ( Typha orientalis , Cyperus al...
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creator | Zhang, Ke Luo, Hongbing Zhu, Zhanyuan Chen, Wei Chen, Jia Mo, You |
description | To investigate the effects of emergent plants on CH
4
efflux and elucidate the key factors responsible for these effects, annual monitoring of CH
4
emissions and methanogen community dynamics in a full-scale constructed wetland (CW) was conducted. Five emergent plants (
Typha orientalis
,
Cyperus alternifolius
,
Arundo domax
,
Iris pseudacorus
, and
Thalia dealbata
) commonly used in CWs were selected for investigation. The greatest CH
4
flux (annual mean 19.4 mg m
−2
h
−1
) was observed from
I. pseudacorus
, while the lowest CH
4
flux (7.1 mg m
−2
h
−1
) was observed from
Thalia dealbata
. The CH
4
flux from five emergent plants showed marked seasonal variation. Total nitrogen (TN) and total phosphorous (TP) were weakly correlated with CH
4
emissions, whereas total carbon (TC) and root biomass of plants were positively correlated with CH
4
emissions. Quantitative real-time PCR (q-PCR) analysis indicated that the gene abundance of eubacterial 16S rRNA, particulate methane monooxygenase (
pmo
A) and methyl coenzyme M reductase (
mcr
A) significantly differed among plant species. Differences in TC, root biomass, and dissolved oxygen (DO) caused by plant species were potential factors responsible for differences in methanogens, methanotrophs, and CH
4
emissions. Methanobacteriaceae, Methanoregulaceae, Methanomicrobiaceae, and Methanosarcinaceae were the dominant families of methanogens. The pathways of methanogenesis from the five emergent plants differed, with the main pathway being hydrogenotrophic, while both hydrogenotrophic and acetotrophic methanogens were involved in
A. domax
. Redundancy analysis (RDA) further indicated that emergent plant types had a profound influence on the methanogenic communities. Taken together, these results suggest emergent plant species can significantly influence CH
4
fluxes in CW through microbial communities, biochemical pathways for methanogenesis, TC, and DO. Furthermore, plant species in CWs should be considered an important factor in evaluating greenhouse gases emission. Finally, it is necessary to effectively manage CWs vegetation to maximize their environmental benefits.
Graphical abstract
ᅟ |
doi_str_mv | 10.1007/s11356-018-2692-9 |
format | Article |
fullrecord | <record><control><sourceid>proquest_cross</sourceid><recordid>TN_cdi_proquest_miscellaneous_2067886009</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><sourcerecordid>2097645425</sourcerecordid><originalsourceid>FETCH-LOGICAL-c386t-64819404814e0945389461102132cc238e80c03c890b66de3100713de548bd133</originalsourceid><addsrcrecordid>eNp1kU1r3DAQhkVJoJuPH5CboJde1Iw-LEvHsjRJIZBLexZeebxxsKVUktPuv4-cLRQKucwc5pl3XuYl5IrDFw7QXmfOZaMZcMOEtoLZD2TDNVesVdaekA1YpRiXSn0kZzk_AQiwot2Qsr1TdJiWP7QLPZ2xPHYh7jFQH-d5CWM50P4Qunn0mQ4pznQYX_BtGAPFGVNlC33BPZaujDFkOgba0WGZJpZ9N61syCUtvmBPf2OZ6p0Lcjp0U8bLv_2c_Lz59mN7x-4fbr9vv94zL40uTCvDrYJaFVb_jTRWac5BcCm8F9KgAQ_SGws7rXuU6ye47LFRZtdzKc_J56Puc4q_FszFzWP2OFUPGJfsBOjWGA1gK_rpP_QpLilUd5WyrVaNEk2l-JHyKeaccHDPaZy7dHAc3HrdHXNwNQe35uBWZXHcyZUNe0z_lN9fegUeiYnd</addsrcrecordid><sourcetype>Aggregation Database</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>2097645425</pqid></control><display><type>article</type><title>CH4 flux and methanogen community dynamics from five common emergent vegetations in a full-scale constructed wetland</title><source>SpringerNature Journals</source><creator>Zhang, Ke ; Luo, Hongbing ; Zhu, Zhanyuan ; Chen, Wei ; Chen, Jia ; Mo, You</creator><creatorcontrib>Zhang, Ke ; Luo, Hongbing ; Zhu, Zhanyuan ; Chen, Wei ; Chen, Jia ; Mo, You</creatorcontrib><description>To investigate the effects of emergent plants on CH
4
efflux and elucidate the key factors responsible for these effects, annual monitoring of CH
4
emissions and methanogen community dynamics in a full-scale constructed wetland (CW) was conducted. Five emergent plants (
Typha orientalis
,
Cyperus alternifolius
,
Arundo domax
,
Iris pseudacorus
, and
Thalia dealbata
) commonly used in CWs were selected for investigation. The greatest CH
4
flux (annual mean 19.4 mg m
−2
h
−1
) was observed from
I. pseudacorus
, while the lowest CH
4
flux (7.1 mg m
−2
h
−1
) was observed from
Thalia dealbata
. The CH
4
flux from five emergent plants showed marked seasonal variation. Total nitrogen (TN) and total phosphorous (TP) were weakly correlated with CH
4
emissions, whereas total carbon (TC) and root biomass of plants were positively correlated with CH
4
emissions. Quantitative real-time PCR (q-PCR) analysis indicated that the gene abundance of eubacterial 16S rRNA, particulate methane monooxygenase (
pmo
A) and methyl coenzyme M reductase (
mcr
A) significantly differed among plant species. Differences in TC, root biomass, and dissolved oxygen (DO) caused by plant species were potential factors responsible for differences in methanogens, methanotrophs, and CH
4
emissions. Methanobacteriaceae, Methanoregulaceae, Methanomicrobiaceae, and Methanosarcinaceae were the dominant families of methanogens. The pathways of methanogenesis from the five emergent plants differed, with the main pathway being hydrogenotrophic, while both hydrogenotrophic and acetotrophic methanogens were involved in
A. domax
. Redundancy analysis (RDA) further indicated that emergent plant types had a profound influence on the methanogenic communities. Taken together, these results suggest emergent plant species can significantly influence CH
4
fluxes in CW through microbial communities, biochemical pathways for methanogenesis, TC, and DO. Furthermore, plant species in CWs should be considered an important factor in evaluating greenhouse gases emission. Finally, it is necessary to effectively manage CWs vegetation to maximize their environmental benefits.
Graphical abstract
ᅟ</description><identifier>ISSN: 0944-1344</identifier><identifier>EISSN: 1614-7499</identifier><identifier>DOI: 10.1007/s11356-018-2692-9</identifier><language>eng</language><publisher>Berlin/Heidelberg: Springer Berlin Heidelberg</publisher><subject>Aquatic plants ; Aquatic Pollution ; Artificial wetlands ; Atmospheric Protection/Air Quality Control/Air Pollution ; Biomass ; Coenzyme M ; Communities ; Dissolved oxygen ; Earth and Environmental Science ; Ecotoxicology ; Efflux ; Emission analysis ; Emissions ; Environment ; Environmental Chemistry ; Environmental Health ; Environmental science ; Flowers & plants ; Fluctuations ; Fluxes ; Greenhouse effect ; Greenhouse gases ; Iris pseudacorus ; Methane ; Methane monooxygenase ; Methanogenesis ; Methanogenic bacteria ; Methanotrophic bacteria ; Microbial activity ; Microorganisms ; Plant species ; Plants (botany) ; Pollution monitoring ; Reductase ; Redundancy ; Research Article ; rRNA 16S ; Seasonal variations ; Species ; Thalia dealbata ; Waste Water Technology ; Water Management ; Water Pollution Control ; Wetlands</subject><ispartof>Environmental science and pollution research international, 2018-09, Vol.25 (26), p.26433-26445</ispartof><rights>Springer-Verlag GmbH Germany, part of Springer Nature 2018</rights><rights>Environmental Science and Pollution Research is a copyright of Springer, (2018). All Rights Reserved.</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c386t-64819404814e0945389461102132cc238e80c03c890b66de3100713de548bd133</citedby><cites>FETCH-LOGICAL-c386t-64819404814e0945389461102132cc238e80c03c890b66de3100713de548bd133</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://link.springer.com/content/pdf/10.1007/s11356-018-2692-9$$EPDF$$P50$$Gspringer$$H</linktopdf><linktohtml>$$Uhttps://link.springer.com/10.1007/s11356-018-2692-9$$EHTML$$P50$$Gspringer$$H</linktohtml><link.rule.ids>315,781,785,27928,27929,41492,42561,51323</link.rule.ids></links><search><creatorcontrib>Zhang, Ke</creatorcontrib><creatorcontrib>Luo, Hongbing</creatorcontrib><creatorcontrib>Zhu, Zhanyuan</creatorcontrib><creatorcontrib>Chen, Wei</creatorcontrib><creatorcontrib>Chen, Jia</creatorcontrib><creatorcontrib>Mo, You</creatorcontrib><title>CH4 flux and methanogen community dynamics from five common emergent vegetations in a full-scale constructed wetland</title><title>Environmental science and pollution research international</title><addtitle>Environ Sci Pollut Res</addtitle><description>To investigate the effects of emergent plants on CH
4
efflux and elucidate the key factors responsible for these effects, annual monitoring of CH
4
emissions and methanogen community dynamics in a full-scale constructed wetland (CW) was conducted. Five emergent plants (
Typha orientalis
,
Cyperus alternifolius
,
Arundo domax
,
Iris pseudacorus
, and
Thalia dealbata
) commonly used in CWs were selected for investigation. The greatest CH
4
flux (annual mean 19.4 mg m
−2
h
−1
) was observed from
I. pseudacorus
, while the lowest CH
4
flux (7.1 mg m
−2
h
−1
) was observed from
Thalia dealbata
. The CH
4
flux from five emergent plants showed marked seasonal variation. Total nitrogen (TN) and total phosphorous (TP) were weakly correlated with CH
4
emissions, whereas total carbon (TC) and root biomass of plants were positively correlated with CH
4
emissions. Quantitative real-time PCR (q-PCR) analysis indicated that the gene abundance of eubacterial 16S rRNA, particulate methane monooxygenase (
pmo
A) and methyl coenzyme M reductase (
mcr
A) significantly differed among plant species. Differences in TC, root biomass, and dissolved oxygen (DO) caused by plant species were potential factors responsible for differences in methanogens, methanotrophs, and CH
4
emissions. Methanobacteriaceae, Methanoregulaceae, Methanomicrobiaceae, and Methanosarcinaceae were the dominant families of methanogens. The pathways of methanogenesis from the five emergent plants differed, with the main pathway being hydrogenotrophic, while both hydrogenotrophic and acetotrophic methanogens were involved in
A. domax
. Redundancy analysis (RDA) further indicated that emergent plant types had a profound influence on the methanogenic communities. Taken together, these results suggest emergent plant species can significantly influence CH
4
fluxes in CW through microbial communities, biochemical pathways for methanogenesis, TC, and DO. Furthermore, plant species in CWs should be considered an important factor in evaluating greenhouse gases emission. Finally, it is necessary to effectively manage CWs vegetation to maximize their environmental benefits.
Graphical abstract
ᅟ</description><subject>Aquatic plants</subject><subject>Aquatic Pollution</subject><subject>Artificial wetlands</subject><subject>Atmospheric Protection/Air Quality Control/Air Pollution</subject><subject>Biomass</subject><subject>Coenzyme M</subject><subject>Communities</subject><subject>Dissolved oxygen</subject><subject>Earth and Environmental Science</subject><subject>Ecotoxicology</subject><subject>Efflux</subject><subject>Emission analysis</subject><subject>Emissions</subject><subject>Environment</subject><subject>Environmental Chemistry</subject><subject>Environmental Health</subject><subject>Environmental science</subject><subject>Flowers & plants</subject><subject>Fluctuations</subject><subject>Fluxes</subject><subject>Greenhouse effect</subject><subject>Greenhouse gases</subject><subject>Iris pseudacorus</subject><subject>Methane</subject><subject>Methane monooxygenase</subject><subject>Methanogenesis</subject><subject>Methanogenic bacteria</subject><subject>Methanotrophic bacteria</subject><subject>Microbial activity</subject><subject>Microorganisms</subject><subject>Plant species</subject><subject>Plants (botany)</subject><subject>Pollution monitoring</subject><subject>Reductase</subject><subject>Redundancy</subject><subject>Research Article</subject><subject>rRNA 16S</subject><subject>Seasonal variations</subject><subject>Species</subject><subject>Thalia dealbata</subject><subject>Waste Water Technology</subject><subject>Water Management</subject><subject>Water Pollution Control</subject><subject>Wetlands</subject><issn>0944-1344</issn><issn>1614-7499</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2018</creationdate><recordtype>article</recordtype><sourceid>ABUWG</sourceid><sourceid>AFKRA</sourceid><sourceid>AZQEC</sourceid><sourceid>BENPR</sourceid><sourceid>CCPQU</sourceid><sourceid>DWQXO</sourceid><sourceid>GNUQQ</sourceid><recordid>eNp1kU1r3DAQhkVJoJuPH5CboJde1Iw-LEvHsjRJIZBLexZeebxxsKVUktPuv4-cLRQKucwc5pl3XuYl5IrDFw7QXmfOZaMZcMOEtoLZD2TDNVesVdaekA1YpRiXSn0kZzk_AQiwot2Qsr1TdJiWP7QLPZ2xPHYh7jFQH-d5CWM50P4Qunn0mQ4pznQYX_BtGAPFGVNlC33BPZaujDFkOgba0WGZJpZ9N61syCUtvmBPf2OZ6p0Lcjp0U8bLv_2c_Lz59mN7x-4fbr9vv94zL40uTCvDrYJaFVb_jTRWac5BcCm8F9KgAQ_SGws7rXuU6ye47LFRZtdzKc_J56Puc4q_FszFzWP2OFUPGJfsBOjWGA1gK_rpP_QpLilUd5WyrVaNEk2l-JHyKeaccHDPaZy7dHAc3HrdHXNwNQe35uBWZXHcyZUNe0z_lN9fegUeiYnd</recordid><startdate>20180901</startdate><enddate>20180901</enddate><creator>Zhang, Ke</creator><creator>Luo, Hongbing</creator><creator>Zhu, Zhanyuan</creator><creator>Chen, Wei</creator><creator>Chen, Jia</creator><creator>Mo, You</creator><general>Springer Berlin Heidelberg</general><general>Springer Nature B.V</general><scope>AAYXX</scope><scope>CITATION</scope><scope>3V.</scope><scope>7QL</scope><scope>7SN</scope><scope>7T7</scope><scope>7TV</scope><scope>7U7</scope><scope>7WY</scope><scope>7WZ</scope><scope>7X7</scope><scope>7XB</scope><scope>87Z</scope><scope>88E</scope><scope>88I</scope><scope>8AO</scope><scope>8C1</scope><scope>8FD</scope><scope>8FI</scope><scope>8FJ</scope><scope>8FK</scope><scope>8FL</scope><scope>ABUWG</scope><scope>AFKRA</scope><scope>ATCPS</scope><scope>AZQEC</scope><scope>BENPR</scope><scope>BEZIV</scope><scope>BHPHI</scope><scope>C1K</scope><scope>CCPQU</scope><scope>DWQXO</scope><scope>FR3</scope><scope>FRNLG</scope><scope>FYUFA</scope><scope>F~G</scope><scope>GHDGH</scope><scope>GNUQQ</scope><scope>HCIFZ</scope><scope>K60</scope><scope>K6~</scope><scope>K9.</scope><scope>L.-</scope><scope>M0C</scope><scope>M0S</scope><scope>M1P</scope><scope>M2P</scope><scope>M7N</scope><scope>P64</scope><scope>PATMY</scope><scope>PQBIZ</scope><scope>PQBZA</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>PYCSY</scope><scope>Q9U</scope><scope>7X8</scope></search><sort><creationdate>20180901</creationdate><title>CH4 flux and methanogen community dynamics from five common emergent vegetations in a full-scale constructed wetland</title><author>Zhang, Ke ; Luo, Hongbing ; Zhu, Zhanyuan ; Chen, Wei ; Chen, Jia ; Mo, You</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c386t-64819404814e0945389461102132cc238e80c03c890b66de3100713de548bd133</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2018</creationdate><topic>Aquatic plants</topic><topic>Aquatic Pollution</topic><topic>Artificial wetlands</topic><topic>Atmospheric Protection/Air Quality Control/Air Pollution</topic><topic>Biomass</topic><topic>Coenzyme M</topic><topic>Communities</topic><topic>Dissolved oxygen</topic><topic>Earth and Environmental Science</topic><topic>Ecotoxicology</topic><topic>Efflux</topic><topic>Emission analysis</topic><topic>Emissions</topic><topic>Environment</topic><topic>Environmental Chemistry</topic><topic>Environmental Health</topic><topic>Environmental science</topic><topic>Flowers & plants</topic><topic>Fluctuations</topic><topic>Fluxes</topic><topic>Greenhouse effect</topic><topic>Greenhouse gases</topic><topic>Iris pseudacorus</topic><topic>Methane</topic><topic>Methane monooxygenase</topic><topic>Methanogenesis</topic><topic>Methanogenic bacteria</topic><topic>Methanotrophic bacteria</topic><topic>Microbial activity</topic><topic>Microorganisms</topic><topic>Plant species</topic><topic>Plants (botany)</topic><topic>Pollution monitoring</topic><topic>Reductase</topic><topic>Redundancy</topic><topic>Research Article</topic><topic>rRNA 16S</topic><topic>Seasonal variations</topic><topic>Species</topic><topic>Thalia dealbata</topic><topic>Waste Water Technology</topic><topic>Water Management</topic><topic>Water Pollution Control</topic><topic>Wetlands</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Zhang, Ke</creatorcontrib><creatorcontrib>Luo, Hongbing</creatorcontrib><creatorcontrib>Zhu, Zhanyuan</creatorcontrib><creatorcontrib>Chen, Wei</creatorcontrib><creatorcontrib>Chen, Jia</creatorcontrib><creatorcontrib>Mo, You</creatorcontrib><collection>CrossRef</collection><collection>ProQuest Central (Corporate)</collection><collection>Bacteriology Abstracts (Microbiology B)</collection><collection>Ecology Abstracts</collection><collection>Industrial and Applied Microbiology Abstracts (Microbiology A)</collection><collection>Pollution Abstracts</collection><collection>Toxicology Abstracts</collection><collection>Access via ABI/INFORM (ProQuest)</collection><collection>ABI/INFORM Global (PDF only)</collection><collection>Health & Medical Collection</collection><collection>ProQuest Central (purchase pre-March 2016)</collection><collection>ABI/INFORM Global (Alumni Edition)</collection><collection>Medical Database (Alumni Edition)</collection><collection>Science Database (Alumni Edition)</collection><collection>ProQuest Pharma 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Database</collection><collection>ProQuest One Business</collection><collection>ProQuest One Business (Alumni)</collection><collection>ProQuest One Academic Eastern Edition (DO NOT USE)</collection><collection>ProQuest One Academic</collection><collection>ProQuest One Academic UKI Edition</collection><collection>Environmental Science Collection</collection><collection>ProQuest Central Basic</collection><collection>MEDLINE - Academic</collection><jtitle>Environmental science and pollution research international</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Zhang, Ke</au><au>Luo, Hongbing</au><au>Zhu, Zhanyuan</au><au>Chen, Wei</au><au>Chen, Jia</au><au>Mo, You</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>CH4 flux and methanogen community dynamics from five common emergent vegetations in a full-scale constructed wetland</atitle><jtitle>Environmental science and pollution research international</jtitle><stitle>Environ Sci Pollut Res</stitle><date>2018-09-01</date><risdate>2018</risdate><volume>25</volume><issue>26</issue><spage>26433</spage><epage>26445</epage><pages>26433-26445</pages><issn>0944-1344</issn><eissn>1614-7499</eissn><abstract>To investigate the effects of emergent plants on CH
4
efflux and elucidate the key factors responsible for these effects, annual monitoring of CH
4
emissions and methanogen community dynamics in a full-scale constructed wetland (CW) was conducted. Five emergent plants (
Typha orientalis
,
Cyperus alternifolius
,
Arundo domax
,
Iris pseudacorus
, and
Thalia dealbata
) commonly used in CWs were selected for investigation. The greatest CH
4
flux (annual mean 19.4 mg m
−2
h
−1
) was observed from
I. pseudacorus
, while the lowest CH
4
flux (7.1 mg m
−2
h
−1
) was observed from
Thalia dealbata
. The CH
4
flux from five emergent plants showed marked seasonal variation. Total nitrogen (TN) and total phosphorous (TP) were weakly correlated with CH
4
emissions, whereas total carbon (TC) and root biomass of plants were positively correlated with CH
4
emissions. Quantitative real-time PCR (q-PCR) analysis indicated that the gene abundance of eubacterial 16S rRNA, particulate methane monooxygenase (
pmo
A) and methyl coenzyme M reductase (
mcr
A) significantly differed among plant species. Differences in TC, root biomass, and dissolved oxygen (DO) caused by plant species were potential factors responsible for differences in methanogens, methanotrophs, and CH
4
emissions. Methanobacteriaceae, Methanoregulaceae, Methanomicrobiaceae, and Methanosarcinaceae were the dominant families of methanogens. The pathways of methanogenesis from the five emergent plants differed, with the main pathway being hydrogenotrophic, while both hydrogenotrophic and acetotrophic methanogens were involved in
A. domax
. Redundancy analysis (RDA) further indicated that emergent plant types had a profound influence on the methanogenic communities. Taken together, these results suggest emergent plant species can significantly influence CH
4
fluxes in CW through microbial communities, biochemical pathways for methanogenesis, TC, and DO. Furthermore, plant species in CWs should be considered an important factor in evaluating greenhouse gases emission. Finally, it is necessary to effectively manage CWs vegetation to maximize their environmental benefits.
Graphical abstract
ᅟ</abstract><cop>Berlin/Heidelberg</cop><pub>Springer Berlin Heidelberg</pub><doi>10.1007/s11356-018-2692-9</doi><tpages>13</tpages></addata></record> |
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subjects | Aquatic plants Aquatic Pollution Artificial wetlands Atmospheric Protection/Air Quality Control/Air Pollution Biomass Coenzyme M Communities Dissolved oxygen Earth and Environmental Science Ecotoxicology Efflux Emission analysis Emissions Environment Environmental Chemistry Environmental Health Environmental science Flowers & plants Fluctuations Fluxes Greenhouse effect Greenhouse gases Iris pseudacorus Methane Methane monooxygenase Methanogenesis Methanogenic bacteria Methanotrophic bacteria Microbial activity Microorganisms Plant species Plants (botany) Pollution monitoring Reductase Redundancy Research Article rRNA 16S Seasonal variations Species Thalia dealbata Waste Water Technology Water Management Water Pollution Control Wetlands |
title | CH4 flux and methanogen community dynamics from five common emergent vegetations in a full-scale constructed wetland |
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