Photosynthetic capacity is negatively correlated with the concentration of leaf phenolic compounds across a range of different species.
Photosynthetic capacity is negatively correlated with the concentration of leaf phenolic compounds across a range of different species.
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DOI：
10.1093/aobpla/pls025
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发表时间：
2012
期刊：
影响因子：
2.9
通讯作者：
Karabourniotis G
中科院分区：
文献类型：
--
作者：
Sumbele S;Fotelli MN;Nikolopoulos D;Tooulakou G;Liakoura V;Liakopoulos G;Bresta P;Dotsika E;Adams MA;Karabourniotis G
本研究揭示了不同植物叶片酚类化合物与光合Amax之间的负相关关系。这表明碳增益和叶酚类化合物的浓度之间的功能整合，反映了生长和防御/保护需求之间的权衡。酚类化合物是所有次生代谢产物中研究最多的，因为它们具有重要的保护-防御作用，并且在植物组织中具有显着的浓度。然而，一直很少有研究气体交换参数和叶酚类化合物（总酚（TP）和缩合单宁（CT））的浓度之间的关系在一系列的物种。因此，我们提出了这样一个问题：在不同大陆不同生态系统的物种之间，光合能力（Amax）与TP和CT之间是否存在任何相关性？过多的功能和结构参数进行了测量，在49种植物不同的生长策略，从位于希腊和澳大利亚的5个采样点。用回归分析和主成分分析方法分析了几个叶片性状之间的关系。结果表明，TP和CT和Amax之间的负相关关系，不同的植物物种，生长策略和采样点，无论表达（相对于质量，面积或氮含量）。主成分分析表明，高浓度的TP和CT与厚，密集的叶片，低氮。这种叶型的特点是低生长，Amax和蒸腾速率，是常见的环境中低水分和养分的可用性，高温和高光照强度。因此，高TP和CT在这样的叶子是兼容的保护和防御功能归因于他们。我们的研究结果表明，碳增益和叶酚类化合物的浓度之间的功能整合，反映了生长和防御/保护需求之间的权衡，这取决于每个物种所采取的增长策略。
This study reveals a negative relationship between leaf phenolic compounds and photosynthetic Amax among different plant species. This indicates a functional integration among carbon gain and the concentration of leaf phenolic compounds that reflects the trade-off between growth and defence/protection demands. Phenolic compounds are the most commonly studied of all secondary metabolites because of their significant protective–defensive roles and their significant concentration in plant tissues. However, there has been little study on relationships between gas exchange parameters and the concentration of leaf phenolic compounds (total phenolics (TP) and condensed tannins (CT)) across a range of species. Therefore, we addressed the question: is there any correlation between photosynthetic capacity (Amax) and TP and CT across species from different ecosystems in different continents? A plethora of functional and structural parameters were measured in 49 plant species following different growth strategies from five sampling sites located in Greece and Australia. The relationships between several leaf traits were analysed by means of regression and principal component analysis. The results revealed a negative relationship between TP and CT and Amax among the different plant species, growth strategies and sampling sites, irrespective of expression (with respect to mass, area or nitrogen content). Principal component analysis showed that high concentrations of TP and CT are associated with thick, dense leaves with low nitrogen. This leaf type is characterized by low growth, Amax and transpiration rates, and is common in environments with low water and nutrient availability, high temperatures and high light intensities. Therefore, the high TP and CT in such leaves are compatible with the protective and defensive functions ascribed to them. Our results indicate a functional integration between carbon gain and the concentration of leaf phenolic compounds that reflects the trade-off between growth and defence/protection demands, depending on the growth strategy adopted by each species.
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影响因子：
3.4
作者：
Close, DC;McArthur, C
通讯作者：
McArthur, C
影响因子：
11.6
作者：
Kattge J;Díaz S;Lavorel S;Prentice IC;Leadley P;Bönisch G;Garnier E;Westoby M;Reich PB;Wright IJ;Cornelissen JH;Violle C;Harrison SP;Van Bodegom PM;Reichstein M;Enquist BJ;Soudzilovskaia NA;Ackerly DD;Anand M;Atkin O;Bahn M;Baker TR;Baldocchi D;Bekker R;Blanco CC;Blonder B;Bond WJ;Bradstock R;Bunker DE;Casanoves F;Cavender-Bares J;Chambers JQ;Chapin FS III;Chave J;Coomes D;Cornwell WK;Craine JM;Dobrin BH;Duarte L;Durka W;Elser J;Esser G;Estiarte M;Fagan WF;Fang J;Fernández-Méndez F;Fidelis A;Finegan B;Flores O;Ford H;Frank D;Freschet GT;Fyllas NM;Gallagher RV;Green WA;Gutierrez AG;Hickler T;Higgins SI;Hodgson JG;Jalili A;Jansen S;Joly CA;Kerkhoff AJ;Kirkup D;Kitajima K;Kleyer M;Klotz S;Knops JM;Kramer K;Kühn I;Kurokawa H;Laughlin D;Lee TD;Leishman M;Lens F;Lenz T;Lewis SL;Lloyd J;Llusià J;Louault F;Ma S;Mahecha MD;Manning P;Massad T;Medlyn BE;Messier J;Moles AT;Müller SC;Nadrowski K;Naeem S;Niinemets Ü;Nöllert S;Nüske A;Ogaya R;Oleksyn J;Onipchenko VG;Onoda Y;Ordoñez J;Overbeck G;Ozinga WA;Patiño S;Paula S;Pausas JG;Peñuelas J;Phillips OL;Pillar V;Poorter H;Poorter L;Poschlod P;Prinzing A;Proulx R;Rammig A;Reinsch S;Reu B;Sack L;Salgado-Negret B;Sardans J;Shiodera S;Shipley B;Siefert A;Sosinski E;Soussana JF;Swaine E;Swenson N;Thompson K;Thornton P;Waldram M;Weiher E;White M;White S;Wright SJ;Yguel B;Zaehle S;Zanne AE;Wirth C
通讯作者：
Wirth C
影响因子：
2.7
作者：
Ishida, Atsushi;Nakano, Takashi;Yamashita, Naoko
通讯作者：
Yamashita, Naoko
影响因子：
6.4
作者：
CALDWELL, MM;ROBBERECHT, R;FLINT, SD
通讯作者：
FLINT, SD
影响因子：
64.8
作者：
BRYANT, JP;KUROPAT, PJ;OWENSMITH, N
通讯作者：
OWENSMITH, N