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Physiological basis of genetic variation in leaf photosynthesis among rice (Oryza sativa L.) introgression lines under drought and well-watered conditions

机译:干旱和水分充足条件下水稻(Oryza sativa L.)渗水系叶片光合作用遗传变异的生理基础

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摘要

To understand the physiological basis of genetic variation and resulting quantitative trait loci (QTLs) for photosynthesis in a rice (Oryza sativa L.) introgression line population, 13 lines were studied under drought and well-watered conditions, at flowering and grain filling. Simultaneous gas exchange and chlorophyll fluorescence measurements were conducted at various levels of incident irradiance and ambient CO2 to estimate parameters of a model that dissects photosynthesis into stomatal conductance (g s), mesophyll conductance (g m), electron transport capacity (J max), and Rubisco carboxylation capacity (V cmax). Significant genetic variation in these parameters was found, although drought and leaf age accounted for larger proportions of the total variation. Genetic variation in light-saturated photosynthesis and transpiration efficiency (TE) were mainly associated with variation in g s and g m. One previously mapped major QTL of photosynthesis was associated with variation in g s and g m, but also in J max and V cmax at flowering. Thus, g s and g m, which were demonstrated in the literature to be responsible for environmental variation in photosynthesis, were found also to be associated with genetic variation in photosynthesis. Furthermore, relationships between these parameters and leaf nitrogen or dry matter per unit area, which were previously found across environmental treatments, were shown to be valid for variation across genotypes. Finally, the extent to which photosynthesis rate and TE can be improved was evaluated. Virtual ideotypes were estimated to have 17.0% higher photosynthesis and 25.1% higher TE compared with the best genotype investigated. This analysis using introgression lines highlights possibilities of improving both photosynthesis and TE within the same genetic background.
机译:为了了解水稻(Oryza sativa L.)基因渗入系群体光合作用的遗传变异的生理基础和由此产生的数量性状基因座(QTL),在干旱和灌溉条件良好的条件下,在开花和灌浆期研究了13个系。在不同水平的入射辐照度和环境CO2下进行了同时的气体交换和叶绿素荧光测量,以估算将光合作用分解为气孔电导(gs),叶肉电导(gm),电子传输能力(J max)和Rubisco的模型的参数。羧化能力(V cmax)。尽管干旱和叶龄占总变异的比例较大,但在这些参数中发现了显着的遗传变异。光饱和光合作用和蒸腾效率(TE)的遗传变异主要与g s和g m的变异有关。一个先前映射的主要光合作用QTL与开花时的g s和g m以及J max和V cmax的变化有关。因此,发现在文献中证明与光合作用的环境变化有关的g s和g m也与光合作用的遗传变化有关。此外,这些参数与先前在环境处理中发现的每单位面积叶片氮或干物质之间的关系被证明对于基因型的变异是有效的。最后,评估了光合速率和TE可以提高的程度。与研究的最佳基因型相比,虚拟意识型的光合作用提高了17.0%,TE升高了25.1%。使用基因渗入系的分析强调了在同一遗传背景下改善光合作用和TE的可能性。

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