Age Dependent Partitioning Patterns of Essential Nutrients Induced by Copper Feeding Status in Leaves and Stems of Poplar

Copper (Cu) is an essential micronutrient, and its deficiency can cause plants to undergo metabolic changes at several levels of organization. It has been shown that leaf age can play a role in nutrient partitioning along the shoot axis of poplar. In this study, we investigated the effect of Cu defi...

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Main Authors: Cameron Hunter, Jared J. Stewart, Sean M. Gleason, Marinus Pilon
Format: Article
Language:English
Published: Frontiers Media S.A. 2022-07-01
Series:Frontiers in Plant Science
Subjects:
Online Access:https://www.frontiersin.org/articles/10.3389/fpls.2022.930344/full
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author Cameron Hunter
Cameron Hunter
Jared J. Stewart
Jared J. Stewart
Sean M. Gleason
Sean M. Gleason
Marinus Pilon
author_facet Cameron Hunter
Cameron Hunter
Jared J. Stewart
Jared J. Stewart
Sean M. Gleason
Sean M. Gleason
Marinus Pilon
author_sort Cameron Hunter
collection DOAJ
description Copper (Cu) is an essential micronutrient, and its deficiency can cause plants to undergo metabolic changes at several levels of organization. It has been shown that leaf age can play a role in nutrient partitioning along the shoot axis of poplar. In this study, we investigated the effect of Cu deficiency on the altered partitioning of essential macro and micronutrients in leaves and stems of different age. Cu deficiency was associated with higher concentrations of calcium, magnesium, sulfur, iron, zinc, manganese, and molybdenum in leaves and relatively higher concentrations of calcium, phosphorus, iron, and zinc in stems. Leaf and stem age had significant effects on nutrient partitioning. Principal component analyses revealed patterns that point to inverse influences in leaves and stems on nutrient partitioning. Specifically, these analyses revealed that nutrient partitioning in leaves was influenced by Cu feeding status more than developmental stage, whereas nutrient partitioning in stems was influenced by developmental stage more than Cu feeding status. These results suggest that Cu deficiency and developmental stage can significantly influence the partitioning and homeostasis of macro and micronutrients in poplar organs.
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spelling doaj.art-f9b205b033bd4fc3bceceae040c165132022-12-22T02:30:13ZengFrontiers Media S.A.Frontiers in Plant Science1664-462X2022-07-011310.3389/fpls.2022.930344930344Age Dependent Partitioning Patterns of Essential Nutrients Induced by Copper Feeding Status in Leaves and Stems of PoplarCameron Hunter0Cameron Hunter1Jared J. Stewart2Jared J. Stewart3Sean M. Gleason4Sean M. Gleason5Marinus Pilon6Department of Biology, Colorado State University, Fort Collins, CO, United StatesWater Management and Systems Research Unit, Agricultural Research Service, United States Department of Agriculture, Fort Collins, CO, United StatesWater Management and Systems Research Unit, Agricultural Research Service, United States Department of Agriculture, Fort Collins, CO, United StatesDepartment of Ecology and Evolutionary Biology, University of Colorado, Boulder, Boulder, CO, United StatesDepartment of Biology, Colorado State University, Fort Collins, CO, United StatesWater Management and Systems Research Unit, Agricultural Research Service, United States Department of Agriculture, Fort Collins, CO, United StatesDepartment of Biology, Colorado State University, Fort Collins, CO, United StatesCopper (Cu) is an essential micronutrient, and its deficiency can cause plants to undergo metabolic changes at several levels of organization. It has been shown that leaf age can play a role in nutrient partitioning along the shoot axis of poplar. In this study, we investigated the effect of Cu deficiency on the altered partitioning of essential macro and micronutrients in leaves and stems of different age. Cu deficiency was associated with higher concentrations of calcium, magnesium, sulfur, iron, zinc, manganese, and molybdenum in leaves and relatively higher concentrations of calcium, phosphorus, iron, and zinc in stems. Leaf and stem age had significant effects on nutrient partitioning. Principal component analyses revealed patterns that point to inverse influences in leaves and stems on nutrient partitioning. Specifically, these analyses revealed that nutrient partitioning in leaves was influenced by Cu feeding status more than developmental stage, whereas nutrient partitioning in stems was influenced by developmental stage more than Cu feeding status. These results suggest that Cu deficiency and developmental stage can significantly influence the partitioning and homeostasis of macro and micronutrients in poplar organs.https://www.frontiersin.org/articles/10.3389/fpls.2022.930344/fullnutritioncopper deficiencymacronutrientsmicronutrientshomeostasismetabolism
spellingShingle Cameron Hunter
Cameron Hunter
Jared J. Stewart
Jared J. Stewart
Sean M. Gleason
Sean M. Gleason
Marinus Pilon
Age Dependent Partitioning Patterns of Essential Nutrients Induced by Copper Feeding Status in Leaves and Stems of Poplar
Frontiers in Plant Science
nutrition
copper deficiency
macronutrients
micronutrients
homeostasis
metabolism
title Age Dependent Partitioning Patterns of Essential Nutrients Induced by Copper Feeding Status in Leaves and Stems of Poplar
title_full Age Dependent Partitioning Patterns of Essential Nutrients Induced by Copper Feeding Status in Leaves and Stems of Poplar
title_fullStr Age Dependent Partitioning Patterns of Essential Nutrients Induced by Copper Feeding Status in Leaves and Stems of Poplar
title_full_unstemmed Age Dependent Partitioning Patterns of Essential Nutrients Induced by Copper Feeding Status in Leaves and Stems of Poplar
title_short Age Dependent Partitioning Patterns of Essential Nutrients Induced by Copper Feeding Status in Leaves and Stems of Poplar
title_sort age dependent partitioning patterns of essential nutrients induced by copper feeding status in leaves and stems of poplar
topic nutrition
copper deficiency
macronutrients
micronutrients
homeostasis
metabolism
url https://www.frontiersin.org/articles/10.3389/fpls.2022.930344/full
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