营养物
磷
桉树
生物
环境科学
差速器(机械装置)
农学
植物
化学
生态学
有机化学
工程类
航空航天工程
作者
Franklin Magnum de Oliveira Silva,Rafaela Gageti Bulgarelli,Umarah Mubeen,Camila Caldana,Sara Adrián López de Andrade,Paulo Mazzafera
标识
DOI:10.3389/fpls.2022.989827
摘要
Phosphorus (P) is a vital nutrient for plant growth. P availability is generally low in soils, and plant responses to low P availability need to be better understood. In a previous study, we studied the growth and physiological responses of 24 species to low P availability in the soil and verified of eucalypts, five ( Eucalyptus acmenoides , E. grandis , E. globulus , E. tereticornis , and Corymbia maculata ) contrasted regarding their efficiency and responsiveness to soil P availability. Here, we obtained the metabolomic and lipidomic profile of leaves, stems, and roots from these species growing under low (4.5 mg dm –3 ) and sufficient (10.8 mg dm –3 ) P in the soil. Disregarding the level of P in the soils, P allocation was always higher in the stems. However, when grown in the P-sufficient soil, the stems steadily were the largest compartment of the total plant P. Under low P, the relative contents of primary metabolites, such as amino acids, TCA cycle intermediates, organic acids and carbohydrates, changed differently depending on the species. Additionally, phosphorylated metabolites showed enhanced turnover or reductions. While photosynthetic efficiencies were not related to higher biomass production, A / C i curves showed that reduced P availability increased the eucalypt species’ Vcmax, Jmax and photosynthetic P-use efficiency . Plants of E. acmenoides increased galactolipids and sulfolipids in leaves more than other eucalypt species, suggesting that lipid remodelling can be a strategy to cope with the P shortage in this species. Our findings offer insights to understand genotypic efficiency among eucalypt species to accommodate primary metabolism under low soil P availability and eventually be used as biochemical markers for breeding programs.
科研通智能强力驱动
Strongly Powered by AbleSci AI