Characterizing the CO2-response curve in photosynthesis and photorespiration: an innovative model for C3 plant species.

IF 2 4区 生物学 Q2 PLANT SCIENCES
Photosynthetica Pub Date : 2025-10-30 eCollection Date: 2026-01-01 DOI:10.32615/ps.2025.030
H-J Kang, T An, X-L Yang, Z-P Ye, F-B Wang
{"title":"Characterizing the CO<sub>2</sub>-response curve in photosynthesis and photorespiration: an innovative model for C<sub>3</sub> plant species.","authors":"H-J Kang, T An, X-L Yang, Z-P Ye, F-B Wang","doi":"10.32615/ps.2025.030","DOIUrl":null,"url":null,"abstract":"<p><p>We introduce a novel model for characterizing the CO₂-response curve in photosynthesis, addressing the limitations of the Farquhar-von Caemmerer-Berry (FvCB) model by providing a more comprehensive framework for understanding photosynthetic responses to varying CO<sub>2</sub> concentrations in C<sub>3</sub> plants. The FvCB model, while instrumental in interpreting the photosynthetic response to CO<sub>2</sub>, does not directly estimate critical parameters such as maximum net photosynthetic rate, transit point from RuBP- to TPU-limited photosynthesis, and the CO<sub>2</sub> compensation point in the presence of day respiration (<i>R</i> <sub>day</sub>). Our new model, referred to as Model I, incorporates these parameters and accounts for the <i>R</i> <sub>day</sub>, offering a nuanced understanding of plant physiological responses to CO₂ concentrations. The research also developed Model II, which does not require an explicit <i>R</i> <sub>day</sub>, addressing the challenges in measuring <i>R</i> <sub>day</sub> and providing an alternative for analyzing the CO₂-response curve. Both models were validated against empirical data, demonstrating their effectiveness in studying plant photosynthesis and photorespiration. The study concludes that the new models advance the FvCB model by predicting photosynthetic and photorespiratory responses under varying conditions, which is crucial for agricultural practices and ecosystem management in the context of climate change.</p>","PeriodicalId":20157,"journal":{"name":"Photosynthetica","volume":"64 1","pages":"1-11"},"PeriodicalIF":2.0000,"publicationDate":"2025-10-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC13073062/pdf/","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Photosynthetica","FirstCategoryId":"99","ListUrlMain":"https://doi.org/10.32615/ps.2025.030","RegionNum":4,"RegionCategory":"生物学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"2026/1/1 0:00:00","PubModel":"eCollection","JCR":"Q2","JCRName":"PLANT SCIENCES","Score":null,"Total":0}
引用次数: 0

Abstract

We introduce a novel model for characterizing the CO₂-response curve in photosynthesis, addressing the limitations of the Farquhar-von Caemmerer-Berry (FvCB) model by providing a more comprehensive framework for understanding photosynthetic responses to varying CO2 concentrations in C3 plants. The FvCB model, while instrumental in interpreting the photosynthetic response to CO2, does not directly estimate critical parameters such as maximum net photosynthetic rate, transit point from RuBP- to TPU-limited photosynthesis, and the CO2 compensation point in the presence of day respiration (R day). Our new model, referred to as Model I, incorporates these parameters and accounts for the R day, offering a nuanced understanding of plant physiological responses to CO₂ concentrations. The research also developed Model II, which does not require an explicit R day, addressing the challenges in measuring R day and providing an alternative for analyzing the CO₂-response curve. Both models were validated against empirical data, demonstrating their effectiveness in studying plant photosynthesis and photorespiration. The study concludes that the new models advance the FvCB model by predicting photosynthetic and photorespiratory responses under varying conditions, which is crucial for agricultural practices and ecosystem management in the context of climate change.

光合和光呼吸co2响应曲线的表征:C3植物物种的创新模型
我们引入了一个新的模型来表征光合作用中CO₂的响应曲线,解决了Farquhar-von Caemmerer-Berry (FvCB)模型的局限性,为理解C3植物对不同CO2浓度的光合作用响应提供了一个更全面的框架。FvCB模型虽然有助于解释光合作用对CO2的响应,但不能直接估计关键参数,如最大净光合速率、从RuBP-到tpu -限制光合作用的过渡点以及存在日呼吸(R日)时的CO2补偿点。我们的新模型,被称为模型1,包含了这些参数并考虑了R天,提供了对植物对CO₂浓度的生理反应的细致理解。该研究还开发了模型II,它不需要明确的R日,解决了测量R日的挑战,并为分析CO₂响应曲线提供了另一种选择。这两种模型都通过实验数据进行了验证,证明了它们在研究植物光合作用和光呼吸方面的有效性。该研究认为,新模型通过预测不同条件下的光合和光呼吸响应来推进FvCB模型,这对气候变化背景下的农业实践和生态系统管理至关重要。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 求助全文
来源期刊
Photosynthetica
Photosynthetica 生物-植物科学
CiteScore
5.60
自引率
7.40%
发文量
55
审稿时长
3.8 months
期刊介绍: Photosynthetica publishes original scientific papers and brief communications, reviews on specialized topics, book reviews and announcements and reports covering wide range of photosynthesis research or research including photosynthetic parameters of both experimental and theoretical nature and dealing with physiology, biophysics, biochemistry, molecular biology on one side and leaf optics, stress physiology and ecology of photosynthesis on the other side. The language of journal is English (British or American). Papers should not be published or under consideration for publication elsewhere.
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:604180095
Book学术官方微信
小红书