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Carbon isotope discrimination during branch photosynthesis of F agus sylvatica : a B ayesian modelling approach
Field measurements of photosynthetic carbon isotope discrimination ( 13 Δ) of F agus sylvatica , conducted with branch bags and laser spectrometry, revealed a high variability of 13 Δ, both on diurnal and day‐to‐day timescales. We tested the prediction capability of three versions of a commonly used...
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Published in: | Plant, cell and environment cell and environment, 2014-07, Vol.37 (7), p.1516-1535 |
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Main Authors: | , , , , , , , , , |
Format: | Article |
Language: | English |
Citations: | Items that this one cites Items that cite this one |
Online Access: | Get full text |
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Summary: | Field measurements of photosynthetic carbon isotope discrimination (
13
Δ) of
F
agus sylvatica
, conducted with branch bags and laser spectrometry, revealed a high variability of
13
Δ, both on diurnal and day‐to‐day timescales. We tested the prediction capability of three versions of a commonly used model for
13
Δ [called here comprehensive (
13
Δ
comp
), simplified (
13
Δ
simple
) and revised (
13
Δ
revised
) versions]. A
B
ayesian approach was used to calibrate major model parameters. Constrained estimates were found for the fractionation during
CO
2
fixation in
13
Δ
comp
, but not in
13
Δ
simple
, and partially for the mesophyll conductance for
CO
2
(
g
i
). No constrained estimates were found for fractionations during mitochondrial and photorespiration, and for a diurnally variable apparent fractionation between current assimilates and mitochondrial respiration, specific to
13
Δ
revised
. A quantification of parameter estimation uncertainties and interdependencies further helped explore model structure and behaviour. We found that
13
Δ
comp
usually outperformed
13
Δ
simple
because of the explicit consideration of
g
i
and the photorespiratory fractionation in
13
Δ
comp
that enabled a better description of the large observed diurnal variation (≈9‰) of
13
Δ. Flux‐weighted daily means of
13
Δ were also better predicted with
13
Δ
comp
than with
13
Δ
simple
.
Molecular interaction between
NRT2.1
transcript levels and the ethylene signaling pathway under nitrate deficiency is still elusive. Here, we report a low nitrate (LN) treatment‐induced rapid burst of ethylene production and regulated expression of ethylene signaling components
CTR1
,
EIN3
and
EIL1
in wild‐type
Arabidopsis thaliana
(Col‐0) seedlings, and enhanced ethylene response reporter
EBS:GUS
activity in both Col‐0 and the ethylene mutants
ein3‐1eil1‐1
and
ctr1‐1
. Comparison of ethylene production and
EBS:GUS
activity between
nrt1.1
,
nrt2.1
mutants and Col‐0 indicated that this up‐regulation of
NRT2.1
expression caused a positive effect on ethylene biosynthesis/signaling under LN treatment, and ethylene down‐regulated
NRT2.1
expression and reduced the high‐affinity nitrate uptake. Together, these findings uncover a negative feedback loop between
NRT2.1
expression and ethylene biosynthesis/signaling under nitrate deficiency, which may contribute to finely tuning of plant nitrate acquisition during exploring dynamic soil conditions.
Commentary:
Advances in measurements and models of photosynthetic |
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ISSN: | 0140-7791 1365-3040 |
DOI: | 10.1111/pce.12262 |