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Plant Photosynthesis-Irradiance Curve Responses to Pollution Show Non-Competitive Inhibited Michaelis Kinetics

Identifieur interne : 000386 ( Pmc/Checkpoint ); précédent : 000385; suivant : 000387

Plant Photosynthesis-Irradiance Curve Responses to Pollution Show Non-Competitive Inhibited Michaelis Kinetics

Auteurs : Maozi Lin [République populaire de Chine] ; Zhiwei Wang [République populaire de Chine] ; Lingchao He [République populaire de Chine] ; Kang Xu [République populaire de Chine] ; Dongliang Cheng [République populaire de Chine] ; Genxuan Wang [République populaire de Chine]

Source :

RBID : PMC:4642952

Abstract

Photosynthesis-irradiance (PI) curves are extensively used in field and laboratory research to evaluate the photon-use efficiency of plants. However, most existing models for PI curves focus on the relationship between the photosynthetic rate (Pn) and photosynthetically active radiation (PAR), and do not take account of the influence of environmental factors on the curve. In the present study, we used a new non-competitive inhibited Michaelis-Menten model (NIMM) to predict the co-variation of Pn, PAR, and the relative pollution index (I). We then evaluated the model with published data and our own experimental data. The results indicate that the Pn of plants decreased with increasing I in the environment and, as predicted, were all fitted well by the NIMM model. Therefore, our model provides a robust basis to evaluate and understand the influence of environmental pollution on plant photosynthesis.


Url:
DOI: 10.1371/journal.pone.0142712
PubMed: 26561863
PubMed Central: 4642952


Affiliations:


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Le document en format XML

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<p>Photosynthesis-irradiance (PI) curves are extensively used in field and laboratory research to evaluate the photon-use efficiency of plants. However, most existing models for PI curves focus on the relationship between the photosynthetic rate (Pn) and photosynthetically active radiation (PAR), and do not take account of the influence of environmental factors on the curve. In the present study, we used a new non-competitive inhibited Michaelis-Menten model (NIMM) to predict the co-variation of Pn, PAR, and the relative pollution index (
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<pmc article-type="research-article">
<pmc-dir>properties open_access</pmc-dir>
<front>
<journal-meta>
<journal-id journal-id-type="nlm-ta">PLoS One</journal-id>
<journal-id journal-id-type="iso-abbrev">PLoS ONE</journal-id>
<journal-id journal-id-type="publisher-id">plos</journal-id>
<journal-id journal-id-type="pmc">plosone</journal-id>
<journal-title-group>
<journal-title>PLoS ONE</journal-title>
</journal-title-group>
<issn pub-type="epub">1932-6203</issn>
<publisher>
<publisher-name>Public Library of Science</publisher-name>
<publisher-loc>San Francisco, CA USA</publisher-loc>
</publisher>
</journal-meta>
<article-meta>
<article-id pub-id-type="pmid">26561863</article-id>
<article-id pub-id-type="pmc">4642952</article-id>
<article-id pub-id-type="doi">10.1371/journal.pone.0142712</article-id>
<article-id pub-id-type="publisher-id">PONE-D-15-11255</article-id>
<article-categories>
<subj-group subj-group-type="heading">
<subject>Research Article</subject>
</subj-group>
</article-categories>
<title-group>
<article-title>Plant Photosynthesis-Irradiance Curve Responses to Pollution Show Non-Competitive Inhibited Michaelis Kinetics</article-title>
<alt-title alt-title-type="running-head">Plant Photosynthesis-Irradiance Curve Responses to Pollution</alt-title>
</title-group>
<contrib-group>
<contrib contrib-type="author">
<name>
<surname>Lin</surname>
<given-names>Maozi</given-names>
</name>
<xref ref-type="aff" rid="aff001">
<sup>1</sup>
</xref>
<xref ref-type="aff" rid="aff002">
<sup>2</sup>
</xref>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Wang</surname>
<given-names>Zhiwei</given-names>
</name>
<xref ref-type="aff" rid="aff002">
<sup>2</sup>
</xref>
</contrib>
<contrib contrib-type="author">
<name>
<surname>He</surname>
<given-names>Lingchao</given-names>
</name>
<xref ref-type="aff" rid="aff002">
<sup>2</sup>
</xref>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Xu</surname>
<given-names>Kang</given-names>
</name>
<xref ref-type="aff" rid="aff002">
<sup>2</sup>
</xref>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Cheng</surname>
<given-names>Dongliang</given-names>
</name>
<xref ref-type="aff" rid="aff003">
<sup>3</sup>
</xref>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Wang</surname>
<given-names>Genxuan</given-names>
</name>
<xref ref-type="aff" rid="aff002">
<sup>2</sup>
</xref>
<xref rid="cor001" ref-type="corresp">*</xref>
</contrib>
</contrib-group>
<aff id="aff001">
<label>1</label>
<addr-line>Fuqing Branch of Fujian Normal University, Fuqing, Fujian Province 350300, Republic of China</addr-line>
</aff>
<aff id="aff002">
<label>2</label>
<addr-line>College of Life Sciences, Zhejiang University, Hangzhou, Zhejiang Province 310027, Republic of China</addr-line>
</aff>
<aff id="aff003">
<label>3</label>
<addr-line>Key Laboratory of Humid Subtropical Eco-geographical Process, Fujian Normal University, Ministry of Education, Fuzhou, Fujian Province 350007, Republic of China</addr-line>
</aff>
<contrib-group>
<contrib contrib-type="editor">
<name>
<surname>Quigg</surname>
<given-names>Antonietta</given-names>
</name>
<role>Editor</role>
<xref ref-type="aff" rid="edit1"></xref>
</contrib>
</contrib-group>
<aff id="edit1">
<addr-line>Texas A&M University at Galveston, UNITED STATES</addr-line>
</aff>
<author-notes>
<fn fn-type="conflict" id="coi001">
<p>
<bold>Competing Interests: </bold>
The authors have declared that no competing interests exist.</p>
</fn>
<fn fn-type="con" id="contrib001">
<p>Conceived and designed the experiments: ML DC GW. Performed the experiments: ML DC. Analyzed the data: ML ZW LH KX DC GW. Contributed reagents/materials/analysis tools: ML DC GW. Wrote the paper: ML ZW LH KX DC GW. Designed the software language used in analysis: ML.</p>
</fn>
<corresp id="cor001">* E-mail:
<email>wanggx@zju.edu.cn</email>
</corresp>
</author-notes>
<pub-date pub-type="epub">
<day>12</day>
<month>11</month>
<year>2015</year>
</pub-date>
<pub-date pub-type="collection">
<year>2015</year>
</pub-date>
<volume>10</volume>
<issue>11</issue>
<elocation-id>e0142712</elocation-id>
<history>
<date date-type="received">
<day>10</day>
<month>4</month>
<year>2015</year>
</date>
<date date-type="accepted">
<day>26</day>
<month>10</month>
<year>2015</year>
</date>
</history>
<permissions>
<copyright-year>2015</copyright-year>
<copyright-holder>Lin et al</copyright-holder>
<license xlink:href="http://creativecommons.org/licenses/by/4.0/">
<license-p>This is an open access article distributed under the terms of the
<ext-link ext-link-type="uri" xlink:href="http://creativecommons.org/licenses/by/4.0/">Creative Commons Attribution License</ext-link>
, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited</license-p>
</license>
</permissions>
<self-uri content-type="pdf" xlink:type="simple" xlink:href="pone.0142712.pdf"></self-uri>
<abstract>
<p>Photosynthesis-irradiance (PI) curves are extensively used in field and laboratory research to evaluate the photon-use efficiency of plants. However, most existing models for PI curves focus on the relationship between the photosynthetic rate (Pn) and photosynthetically active radiation (PAR), and do not take account of the influence of environmental factors on the curve. In the present study, we used a new non-competitive inhibited Michaelis-Menten model (NIMM) to predict the co-variation of Pn, PAR, and the relative pollution index (
<italic>I</italic>
). We then evaluated the model with published data and our own experimental data. The results indicate that the Pn of plants decreased with increasing
<italic>I</italic>
in the environment and, as predicted, were all fitted well by the NIMM model. Therefore, our model provides a robust basis to evaluate and understand the influence of environmental pollution on plant photosynthesis.</p>
</abstract>
<funding-group>
<funding-statement>The present study was supported by Natural Science Foundation of China (31330010 and 31370589) and Natural Science Foundation of Zhejiang Province, China (LZ13C030001). The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript.</funding-statement>
</funding-group>
<counts>
<fig-count count="3"></fig-count>
<table-count count="5"></table-count>
<page-count count="17"></page-count>
</counts>
<custom-meta-group>
<custom-meta id="data-availability">
<meta-name>Data Availability</meta-name>
<meta-value>All relevant data are within the paper and its Supporting Information files.</meta-value>
</custom-meta>
</custom-meta-group>
</article-meta>
<notes>
<title>Data Availability</title>
<p>All relevant data are within the paper and its Supporting Information files.</p>
</notes>
</front>
</pmc>
<affiliations>
<list>
<country>
<li>République populaire de Chine</li>
</country>
<region>
<li>Zhejiang</li>
</region>
<settlement>
<li>Hangzhou</li>
</settlement>
<orgName>
<li>Université de Zhejiang</li>
</orgName>
</list>
<tree>
<country name="République populaire de Chine">
<noRegion>
<name sortKey="Lin, Maozi" sort="Lin, Maozi" uniqKey="Lin M" first="Maozi" last="Lin">Maozi Lin</name>
</noRegion>
<name sortKey="Cheng, Dongliang" sort="Cheng, Dongliang" uniqKey="Cheng D" first="Dongliang" last="Cheng">Dongliang Cheng</name>
<name sortKey="He, Lingchao" sort="He, Lingchao" uniqKey="He L" first="Lingchao" last="He">Lingchao He</name>
<name sortKey="Lin, Maozi" sort="Lin, Maozi" uniqKey="Lin M" first="Maozi" last="Lin">Maozi Lin</name>
<name sortKey="Wang, Genxuan" sort="Wang, Genxuan" uniqKey="Wang G" first="Genxuan" last="Wang">Genxuan Wang</name>
<name sortKey="Wang, Zhiwei" sort="Wang, Zhiwei" uniqKey="Wang Z" first="Zhiwei" last="Wang">Zhiwei Wang</name>
<name sortKey="Xu, Kang" sort="Xu, Kang" uniqKey="Xu K" first="Kang" last="Xu">Kang Xu</name>
</country>
</tree>
</affiliations>
</record>

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