Plant Photosynthesis-Irradiance Curve Responses to Pollution Show Non-Competitive Inhibited Michaelis Kinetics
Identifieur interne : 000495 ( Main/Exploration ); précédent : 000494; suivant : 000496Plant 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 :
- PLoS ONE [ 1932-6203 ] ; 2015.
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 (
Url:
DOI: 10.1371/journal.pone.0142712
PubMed: 26561863
PubMed Central: 4642952
Affiliations:
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Eco-geographical Process, Fujian Normal University, Ministry of Education, Fuzhou, Fujian Province 350007, Republic of China</addr-line></nlm:aff><country xml:lang="fr">République populaire de Chine</country><wicri:regionArea>Key Laboratory of Humid Subtropical Eco-geographical Process, Fujian Normal University, Ministry of Education, Fuzhou, Fujian Province 350007</wicri:regionArea><wicri:noRegion>Fujian Province 350007</wicri:noRegion></affiliation></author><author><name sortKey="Wang, Genxuan" sort="Wang, Genxuan" uniqKey="Wang G" first="Genxuan" last="Wang">Genxuan Wang</name><affiliation wicri:level="4"><nlm:aff id="aff002"><addr-line>College of Life Sciences, Zhejiang University, Hangzhou, Zhejiang Province 310027, Republic of China</addr-line></nlm:aff><country xml:lang="fr">République populaire de Chine</country><wicri:regionArea>College of Life Sciences, Zhejiang University, Hangzhou, Zhejiang Province 310027</wicri:regionArea><orgName type="university">Université de Zhejiang</orgName><placeName><settlement type="city">Hangzhou</settlement><region type="province">Zhejiang</region></placeName></affiliation></author></analytic><series><title level="j">PLoS ONE</title><idno type="eISSN">1932-6203</idno><imprint><date when="2015">2015</date></imprint></series></biblStruct></sourceDesc></fileDesc><profileDesc><textClass></textClass></profileDesc></teiHeader><front><div type="abstract" xml:lang="en"><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></div></front><back><div1 type="bibliography"><listBibl><biblStruct><analytic><author><name sortKey="Jassby, Ad" uniqKey="Jassby A">AD Jassby</name></author><author><name sortKey="Platt, T" uniqKey="Platt T">T Platt</name></author></analytic></biblStruct><biblStruct><analytic><author><name sortKey="Perry, Mj" uniqKey="Perry M">MJ Perry</name></author><author><name sortKey="Talbot, Mc" uniqKey="Talbot M">MC Talbot</name></author><author><name sortKey="Alberte, Rs" uniqKey="Alberte R">RS Alberte</name></author></analytic></biblStruct><biblStruct><analytic><author><name sortKey="Dubinsky, Z" uniqKey="Dubinsky Z">Z Dubinsky</name></author><author><name sortKey="Falkowski, Pg" uniqKey="Falkowski P">PG Falkowski</name></author><author><name sortKey="Wyman, K" uniqKey="Wyman K">K 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Havaux</name></author></analytic></biblStruct><biblStruct><analytic><author><name sortKey="Lin, Mz" uniqKey="Lin M">MZ Lin</name></author><author><name sortKey="Lin, Nw" uniqKey="Lin N">NW Lin</name></author><author><name sortKey="Qiu, Xf" uniqKey="Qiu X">XF Qiu</name></author><author><name sortKey="Zhang, My" uniqKey="Zhang M">MY Zhang</name></author></analytic></biblStruct></listBibl></div1></back></TEI><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>Pour manipuler ce document sous Unix (Dilib)
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