Elucidating genomic regions determining enhanced leaf growth and delayed senescence in elevated carbon dioxide
Elucidating genomic regions determining enhanced leaf growth and delayed senescence in elevated carbon dioxide
Limited information is available on the genetic variation and control for plant growth response to elevated CO2 (e[CO2]). Such information is necessary to understand plant adaptation and evolution in future rising CO2. Here, quantitative trait loci (QTL) for leaf growth, development, quality and leaf senescence were determined in a tree pedigree – an F2 hybrid of Populus trichocarpa T. & G and Populus deltoides Marsh, following season-long exposure to either current day ambient carbon dioxide (a[CO2]) or e[CO2] at 600 µL L1. Leaf growth and development differed between the grandparents such that P. trichocarpa showed greater response to e[CO2]. In the F2 generation, leaf development and quality traits including leaf area, leaf shape, epidermal cell area, and stomatal number, specific leaf area (SLA), and the phenology trait, canopy senescence index, were sensitive to e[CO2]. Sixty-nine QTL were mapped for the 19 traits of plants in a[CO2] while 60 QTL were mapped for plants in e[CO2]. The results suggest that although many QTL mapped to common positions in a[CO2] and e[CO2], confirming their importance in determining growth, there was also differential genetic control for a number of traits including leaf senescence. Candidate genes were shown to collocate to regions where response QTL mapped. This study is the first to identify candidate genes that may be important in determining plant adaptation to future high-CO2 world.
1730-1741
Rae, A.M.
ead69e53-9aa7-400d-be0d-33f5206d154a
Ferris, Rachel
9646c657-d169-4cf3-ac0f-b37b0fbaf92f
Tallis, M.J.
25cbd143-1f8c-491b-9eac-f1c632dfcfda
2006
Rae, A.M.
ead69e53-9aa7-400d-be0d-33f5206d154a
Ferris, Rachel
9646c657-d169-4cf3-ac0f-b37b0fbaf92f
Tallis, M.J.
25cbd143-1f8c-491b-9eac-f1c632dfcfda
Rae, A.M., Ferris, Rachel, Tallis, M.J. and Taylor, Gail
(2006)
Elucidating genomic regions determining enhanced leaf growth and delayed senescence in elevated carbon dioxide.
Plant, Cell and Environment, 29 (9), .
(doi:10.1111/j.1365-3040.2006.01545.x).
Abstract
Limited information is available on the genetic variation and control for plant growth response to elevated CO2 (e[CO2]). Such information is necessary to understand plant adaptation and evolution in future rising CO2. Here, quantitative trait loci (QTL) for leaf growth, development, quality and leaf senescence were determined in a tree pedigree – an F2 hybrid of Populus trichocarpa T. & G and Populus deltoides Marsh, following season-long exposure to either current day ambient carbon dioxide (a[CO2]) or e[CO2] at 600 µL L1. Leaf growth and development differed between the grandparents such that P. trichocarpa showed greater response to e[CO2]. In the F2 generation, leaf development and quality traits including leaf area, leaf shape, epidermal cell area, and stomatal number, specific leaf area (SLA), and the phenology trait, canopy senescence index, were sensitive to e[CO2]. Sixty-nine QTL were mapped for the 19 traits of plants in a[CO2] while 60 QTL were mapped for plants in e[CO2]. The results suggest that although many QTL mapped to common positions in a[CO2] and e[CO2], confirming their importance in determining growth, there was also differential genetic control for a number of traits including leaf senescence. Candidate genes were shown to collocate to regions where response QTL mapped. This study is the first to identify candidate genes that may be important in determining plant adaptation to future high-CO2 world.
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Published date: 2006
Additional Information:
Gail Taylor was the supervisor and academic lead on this research which followed a sabbatical in Seattle and successful grant from NERC. The paper reports the first study to identify genomic regions that are contributng to altered tree growth in future high atmospheric CO2. These areas of the genome may be important site for plant adaptation to the changing environment - a subject where there is very limited data and understanding to date.
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Local EPrints ID: 46341
URI: http://eprints.soton.ac.uk/id/eprint/46341
ISSN: 0140-7791
PURE UUID: 9d830285-e853-4a50-ae24-3d4c2dd156f7
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Date deposited: 20 Jun 2007
Last modified: 15 Mar 2024 09:20
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Contributors
Author:
A.M. Rae
Author:
Rachel Ferris
Author:
M.J. Tallis
Author:
Gail Taylor
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