Matthew Haworth1, Claire M Belcher2, Dilek Killi3, Rebecca A Dewhirst2, Alessandro Materassi4, Antonio Raschi4, Mauro Centritto5. 1. The Italian National Research Council - Tree and Timber Institute (CNR-IVALSA) Via Madonna del Piano 10, Sesto Fiorentino, 50019, Florence, Italy. haworth@ivalsa.cnr.it. 2. University of Exeter wildFIRE Lab, Hatherly Labs Prince Wales Road Exeter, EX PS, Devon, England. 3. Department of Agrifood Production and Environmental Sciences (DiSPAA), University of Florence Piazzale delle Cascine, 28 50144, Florence, Italy. 4. The Italian National Research Council - Institute of Biometeorology (CNR-IBIMET) Via Giovanni Caproni, 8 50145, Florence, Italy. 5. The Italian National Research Council - Tree and Timber Institute (CNR-IVALSA) Via Madonna del Piano 10, Sesto Fiorentino, 50019, Florence, Italy.
Abstract
Global warming events have coincided with turnover of plant species at intervals in Earth history. As mean global temperatures rise, the number, frequency and duration of heat-waves will increase. Ginkgo biloba was grown under controlled climatic conditions at two different day/night temperature regimes (25/20 °C and 35/30 °C) to investigate the impact of heat stress. Photosynthetic CO2-uptake and electron transport were reduced at the higher temperature, while rates of respiration were greater; suggesting that the carbon balance of the leaves was adversely affected. Stomatal conductance and the potential for evaporative cooling of the leaves was reduced at the higher temperature. Furthermore, the capacity of the leaves to dissipate excess energy was also reduced at 35/30 °C, indicating that photo-protective mechanisms were no longer functioning effectively. Leaf economics were adversely affected by heat stress, exhibiting an increase in leaf mass per area and leaf construction costs. This may be consistent with the selective pressures experienced by fossil Ginkgoales during intervals of global warming such as the Triassic - Jurassic boundary or Early Eocene Climatic Optimum. The physiological and morphological responses of the G. biloba leaves were closely interrelated; these relationships may be used to infer the leaf economics and photosynthetic/stress physiology of fossil plants.
Global warming events have coincided with turnover of plant species at intervals in Earth history. As mean global temperatures rise, the number, frequency and duration of heat-waves will increase. Ginkgo biloba was grown under controlled climatic conditions at two different day/night temperature regimes (25/20 °C and 35/30 °C) to investigate the impact of heat stress. Photosynthetic CO2-uptake and electron transport were reduced at the higher temperature, while rates of respiration were greater; suggesting that the carbon balance of the leaves was adversely affected. Stomatal conductance and the potential for evaporative cooling of the leaves was reduced at the higher temperature. Furthermore, the capacity of the leaves to dissipate excess energy was also reduced at 35/30 °C, indicating that photo-protective mechanisms were no longer functioning effectively. Leaf economics were adversely affected by heat stress, exhibiting an increase in leaf mass per area and leaf construction costs. This may be consistent with the selective pressures experienced by fossil Ginkgoales during intervals of global warming such as the Triassic - Jurassic boundary or Early Eocene Climatic Optimum. The physiological and morphological responses of the G. biloba leaves were closely interrelated; these relationships may be used to infer the leaf economics and photosynthetic/stress physiology of fossil plants.
Mean global temperatures and the frequency of extreme temperature
events have varied throughout Earth history[1-3]. Heat stress may have played a
role in the origination, extinction and diversification of plant species during
episodes of climatic perturbation[4,5];
yet comparatively little is known about the selective pressures exerted on plants by
growth at higher temperatures and the underlying physiological responses. Controlled
environment experiments have explored the phenotypic responses of living species
with ancient evolutionary origins to reconstruct the likely responses of fossil
plants to the atmospheric concentration of carbon dioxide
([CO2])[6,7],
the level of oxygen within the atmosphere[8], fumigation with toxic atmospheric
gases[9],
changes in the distribution/quality of incident radiation[10,11] and a moderate 4 °C increase in
temperature[12]. There are comparatively few studies that
investigate the impact of heat stress on the physiology and morphology of extant
species equivalent to those of fossil plants. In this study, we grew the relict
gymnosperm Ginkgo biloba
[13] under
controlled environment conditions to examine the impact of heat stress on
photosynthetic physiology and leaf morphology.Fossil Ginkgoales first appear in the
Palaeozoic[14], and are widespread in many
Mesozoic[15,16]
and Tertiary[7,17] sediments. The geographically
and temporally extensive fossil record of the Ginkgoales has led to analysis of
their potential as indicators of palaeo-environmental and palaeo-climatic
conditions. The cuticular micro-morphology of fossil Ginkgoales has been used to
reconstruct palaeo-[CO2][7,17-19], indicate the presence of toxic atmospheric
gases[20],
characterise the light environment during leaf development (sun versus shade
leaves)[19,21], estimate photochemical and
non-photochemical usage of light energy[22] and reconstruct leaf
economics[23,24].
Analysis of the shape of fossil Ginkgoales has also been used to infer exposure to
toxic volcanic gases[9]. The use of fossil Ginkgoales to draw inferences
regarding palaeo-climatic conditions, atmospheric composition and plant function has
relied upon the analysis of the responses of G.
biloba, the sole extant Ginkgoales, under experimental and natural
conditions to interpret selective pressures faced by fossil plants during global
climatic change[7,21,23]. However, to the best of our
knowledge, no study to date has investigated the impact of heat stress on G. biloba.Leaf economics provide insights into the physiological
characteristics[25] and environmental growth
conditions[26,27]
of a plant. However, it is not possible to directly gauge the leaf economics of
fossil plants. The leaf economics of fossil plants can be estimated using
relationships between petiole width (PW) and leaf area[28] and the number of epidermal
cells (ED) and leaf density[23]. Few studies of fossil floras have utilised
these allometric patterns in leaf macro- and micro-morphology to interpret the
physiological responses of fossil plants to fluctuations in palaeo-environmental
conditions. One possible explanation may be that the lack of experimental studies
quantifying relationships between the energy balance of leaves and the associated
physiological and morphological characteristics has limited their application in the
reconstruction of the palaeo-physiology of fossil plants.Episodes of climatic perturbation often accompany extinction events
during Earth history[29,30].
The Permian – Triassic[31], Triassic – Jurassic[4,19,32],
Cretaceous – Tertiary[33,34],
Early Eocene Climatic Optimum[17] and Paleocene-Eocene Thermal
Maximum[5]
are all characterised by increased global temperatures. As mean global temperatures
rise, the frequency, duration and severity of heat-waves (transient significant
increases in temperature above the mean) also increase[35]. Increased temperature affects
the carbon and water use efficiencies of plants[36,37], and can thus act as a strong selective
pressure. Moreover, heat stress incurred during heat-waves can significantly impair
photosynthesis[38,39]
and exacerbate the impact of co-occurring stresses such as
drought[40].As temperatures rise above optimal levels, rates of photosynthesis
(P
N) fall due to a decline in the affinity of
ribulose-1,5-bisphosphate carboxylase/oxygenase (RubisCO) for
CO2 reducing carboxylation and increasing
oxygenation[36]. The activity of RubisCO is also lower at high
temperatures as the function of the enzyme RubisCO activase is
reduced[38,41]. Photosystem II (PSII) is
strongly affected by high temperatures as the structure and function of the
thylakoid membranes, where electron transport occurs within the chloroplast, are
highly sensitive to heat stress[39,42].
Impaired function of PSII during heat stress is evident in reductions in the maximum
(F
v/F
m) and actual (ΦPSII) quantum efficiencies of electron
transport[43]. Nevertheless, plants can develop tolerance to
growth at high temperatures through the accumulation of heat shock proteins in the
thylakoid membranes[44]. Heat stress can also affect plant metabolism,
inducing an increase in levels of respiration in the light (R
light) and dark (R
dark) relative to P
N
[27]. Higher
temperatures are generally considered to result in greater stomatal conductance
(G
s) and increased transpirative
water-loss[40]. However, longer exposure to high temperatures may
permit adaptation in stomatal behaviour to reduce G
s
[27,37].Heat stress may play a critical role in driving plant evolutionary
responses over geological timescales at intervals of climatic perturbation. For
example, the reduction in thermal stress associated with declining
[CO2] in the Devonian may have enabled the development of
large planate leaves[45], and the reconstruction of leaf architecture of
fossil Ginkgoales at the Triassic – Jurassic boundary is consistent with selective
pressures induced by heat stress leading to a change in leaf shape to reduce the
energy balance of the leaf via lower interception of light[22]. Short-term controlled
environment experiments cannot replicate the multi-generational genotypic responses
evident in the fossil record associated with natural selection. However, such
experiments can provide valuable insights into the acclimatory responses of plants
to environmental change and the selective pressures that may be exerted. We exposed
the relict gymnosperm G. biloba to heat stress
to: i) examine the effect on carbon assimilation and photosynthetic light capture;
ii) determine the stomatal response of G. biloba
to higher temperature and potential effects on water use efficiency (WUE), and; iii)
gauge the likely effect of heat stress on leaf construction costs to determine
whether increased temperatures may have adversely affected leaf economic strategies
and thus driven plant evolution during key intervals of climatic change during Earth
history using the Triassic – Jurassic boundary as a case study.
Materials and Methods
Plant Growth Conditions
Two year-old seedlings of Ginkgo
biloba were potted into six litre square pots filled with a 5:1
mixture of commercial compost and vermiculite (COMPO Italia, Cesano Maderno,
Italy). The G. biloba plants were grown from
seeds collected from a female tree in Pistoia, Central Italy, which has a warm
sub-Mediterranean climate. The seedlings were dormant and leaf development had not
yet begun when the plants were placed into two large walk-in growth rooms in
February 2015. Five plants were placed in each growth room. The plants were
watered to pot capacity every two days and once a week were provided with a
commercial liquid plant fertiliser (COMPO Concime Universale, NPK 7-5-7, B, Cu,
Fe, Mn, Mo, Zn) to facilitate nutrient availability at free access rates. The
growth chambers maintained conditions of 400 ppm [CO2],
relative humidity of 60% and 16 hours of daylight (14 hours at full
photosynthetically active radiation, PAR, levels of 1000 μmol
m−2 s−1 with two one-hour
periods of simulated dawn/dusk where light intensity was incrementally
increased/decreased – details of the light spectrum are provided in Supplementary
Information). One chamber operated a day/night time temperature regime of 25/20 °C
(hereafter referred to as the 25 °C treatment) and the second chamber operated a
day/night temperature of 35/30 °C (hereafter referred to as the 35 °C treatment).
Changes in temperature followed those of PAR, with a one-hour ramping period at
dawn/dusk. To avoid any potential chamber effects the growth rooms were alternated
every two weeks – no significant differences were observed in gas exchange
measurements conducted under the same conditions in different growth chambers. The
plants were grown for three months under controlled environment conditions to
allow full leaf development before physiological measurements were performed over
a two week period after the 12th week.
Leaf gas exchange, chlorophyll fluorescence and chlorophyll content
analysis
A PP-Systems Ciras-2 attached to a 2 cm2
PLC6(U) leaf cuvette and LED light unit (PP-Systems, Amesbury, Massachusetts, USA)
was used to analyse leaf gas exchange. A minimum of five leaves were analysed per
plant with five plants for each temperature treatment. Point measurements of
P
N and G
s were performed using cuvette conditions identical to the
growth conditions of both treatments: a temperature of 25 or 35 °C, PAR of
1000 μmol m−2 s−1 and
[CO2] of 400 ppm. The instantaneous transpiration
efficiency was calculated as the ratio of P
N to G
s. The maximum rate of P
N (P
N max) of leaves from both treatments was measured using
cuvette conditions of 25 °C, 2000 μmol m−2
s−1 PAR and 2000 ppm [CO2].
The Kok[46]
method was used to estimate R
light by decreasing PAR at low levels of intensity (400,
300, 200, 150, 100, 75, 50, 30, 20 and 10 μmol m−2
s−1). Respiration in the dark was measured by
switching off the LED light unit after the Kok protocol, shading the plant and
recording the rate of CO2 efflux from the leaf after values
had remained stable for 5–10 minutes. Both R
light and R
dark were determined at the growth temperature of the
plants in the controlled environment chambers. The effect of variation in
C
i on R
d was corrected using the iterative method of Kirschbaum
and Farquhar[47]. The maximum (F
v/F
m) and actual (ΦPSII) quantum efficiencies of PSII and
non-photochemical quenching (NPQ) values of each leaf were recorded using a FMS-2
modulated fluorimeter (Hansatech, Norfolk, King’s Lynn, UK) (saturating pulse of
10,000 μmol m−2 s−2) and
dark adaptation clips after 30 minutes of dark adaptation and exposure to actinic
light of 1000 μmol m−2 s−1
for a minimum of 10 minutes after the first saturating
pulse[48,49]. Chlorophyll content of each
leaf was estimated from the average of five readings per leaf using a Konica
Minolta SPAD-502 (Konica Minolta, Tokyo, Japan) and the calibration of Marenco,
et al.[50].
Leaf economics and construction costs
After physiological measurements, leaves were removed from the
plants, the petiole cut from the leaf and the leaf photographed using a Sony
DSC-T99 14 megapixel camera. Leaf area was calculated from digital images using
ImageJ (National Institutes of Health, Bethesda, Maryland, USA). The fresh petiole
length and width were recorded using digital callipers with a precision of 0.01 mm
(Draper Tools, Hampshire, UK). After digital images were taken of the leaves,
dental impression gel was applied to the adaxial leaf surface for 30 minutes. The
dental impression gel was then removed and the leaves were dried for four days at
70 °C. After the mass of individual leaves remained stable for a minimum of two
days, indicating that the leaves were dried thoroughly, their weight was recorded.
The leaf mass per area (LMA) of each leaf was calculated as the mass of the leaf
(in grams) divided by its area (expressed as
m−2).After drying, each leaf was cut into two approximately equal
halves. The half of the leaf designated for elemental analysis was ground in
liquid nitrogen using a pestle and mortar and then the carbon and nitrogen content
was determined using a Carlo Erba NA 1500 CHNS Analyzer (Carlo Erba, Milan,
Italy). The remaining halves of each leaf were used for micro-calorimetry using a
Federal Aviation Adminstration microcalorimeter (Fire Testing Technology, East
Grinstead, UK). The maximum temperature (T
max: the temperature at which the maximum rate of
decomposition of virgin fuel is reached), peak heat release (pHRR: the most
intense flux of heat during the combustion of the leaf material, this indicates
the maximum decomposition rate of the leaves which is related to the volatile gas
flux of the material), heat capacity (HRCap: the maximum capability of the leaf
material to release combustion heat per degree of temperature during pyrolysis;
this measure provides an indication of the resistance of the leaves to thermal
degradation) and total heat release (THR: the total energy released by the leaf
during combustion) was determined for each leaf on a
g−1 dry mass basis. The THR during combustion and the
amount of carbon and nitrogen within the leaves were used to estimate leaf
construction costs using the method of Williams, et
al.[51], termed CCw
(equation 1):Where, CCw is the energetic cost of tissue
construction (g glu g−1 dry mass);
∆Hc is the ash free heat of combustion (KJ
g−1); A is the ash content after combustion;
k is the oxidation state of nitrate, a value
of 5 was used following Wullschleger, et
al.[52]; N is the nitrogen content (g
g−1 dry mass), and; EG is the
efficiency of conversion of dry matter to heat, a value of 0.89 was used following
Williams, et al.[51]. The method of de Vries,
et al.[53] (CCv)
that does not incorporate analysis of the energy released during combustion was
also used (equation 2):Where, C is the carbon content (g g−1 dry
mass); f
N,h is the fraction of nitrogen assimilated
heterotrophically, a value of 0.5 was used following Wullschleger, et al.[52], and; rT is the cost of
translocating photosynthates, a value of 5.3% was used[54].
Volatile compound and lignin analysis
Individual dried leaves were ground in liquid nitrogen using a
pestle and mortar. Volatile compounds were extracted by sonication in n-hexane, with butylated hydroxytoluene (BHT) added as
an internal standard. The hexane extract was analysed by GC-MS, using an Agilent
7200 series accurate mass Q-TOF GC-MS together with a 7890 A GC system (Agilent
Technologies, Santa Clara, USA), equipped with an EI (electron ionisation) ion
source. Then 5 μl of each sample was injected into a non-deactivated, baffled
glass liner with a 12:1 split ratio (14.448 ml min−1
split flow) and the inlet temperature was maintained at 250 °C. A Zebron
semi-volatiles (Phenomenex, Torrance, USA) column (30 m × 250 μm × 0.25 μm)
coupled with a 10 m guard column, was maintained at a constant helium flow of
1.2 ml min−1. The oven temperature was initially
70 °C increasing to 310 °C at a rate of 15 °C min−1. It
then remained constant at 310 °C for 6 minutes. The MS emission current and
emission voltage were held at 35 μA and 70 eV respectively. The mass range was set
from 50 to 600 amu, with an acquisition rate of 5 spectra
s−1.Lignin was analysed using the acetyl bromide
method[55]. The ground leaves were washed to produce a
protein-free cell wall preparation. Samples (2 mg) of the cell wall preparations
were incubated in acetyl bromide (0.5 ml, 25% v/v in acetic acid) at 50 °C for two
hours. After incubation, sodium hydroxide (0.9 ml, 2 M) and hydroxylamine
hydrochloride (0.1 ml, 1 M) were added, along with acetic acid (5 ml). The lignin
content was quantified by measuring the absorbance at 280 nm using a UV-1600PC
Spectrophotometer (VWR, Leicestershire, UK).
Leaf micro-morphological analysis
Impressions of the adaxial surface of the G. biloba leaves were taken using dental impression gel (Coltène
President Light Body Material, Cuyahoga Falls, Ohio, USA). These were then used to
create nail varnish ‘positives’ that were mounted onto glass
slides[56] and imaged using a Leica DM2500 microscope
attached to a Leica DFC300FX camera (Leica Microsystems, Wetzlar, Germany).
Epidermal cell density (ED) counts were consistently performed on cells in the
outer lobe of the G. biloba leaf to avoid
concentrations of veins and/or excessively densely packed epidermal cells at the
base of the leaf[23]. A 0.16 mm2 grid
(0.4 × 0.4 mm) was applied to digital images of the cuticle and ED of 10 images
recorded for each leaf. Rarefraction analysis of the ED counts for extant
G. biloba indicated that mean ED values
stabilised after three to five images were counted.
Statistical analyses
Statistical analyses were performed using SPSS 20 (IBM, New York,
USA). A one-way ANOVA was used to assess differences in variance between
temperature treatments. Linear regression was used to assess possible
relationships between leaf morphology and physiology.
Data availability statement
All data generated or analysed during this study are included in
this published article.
Results
Growth at 35 °C strongly influenced the morphology (Fig. 1), composition (Figs 2 and 3) and physiology
(Fig. 4) of the leaves of G. biloba. Leaf mass per area was significantly increased
by 58% in leaves developed at the higher temperature (Fig. 1a). This higher LMA was associated with increased leaf thickness
(Fig. 1b) and ED (Figs 1c, 3c,d). The
ratio of PW2 to leaf area was also significantly greater
in leaves from the 35 °C treatment (Fig. 1d). Higher growth temperature resulted in 15% lower leaf carbon
content (Fig. 1e), and a corresponding 79%
increase in the amount of nitrogen (Fig. 1f)
when measured on the basis of leaf dry weight. Microcalorimetry revealed a ~10 °C
difference in the temperature at which the maximum decomposition of the leaf
occurred (Fig. 2a), indicating that the
compounds in the leaves grown at 35 °C were more easily degradable than those grown
in 25 °C. The pHRR (Fig. 2b), HRCap
(Fig. 2c) and THR (Fig. 2d) per unit dry mass were significantly lower in
leaves from the 35 °C treatment. The greater THR in leaves developed at 25 °C,
contributed towards 17% lower construction costs per unit dry mass in leaves from
the 35 °C treatment (Fig. 2e,f). However,
when construction costs were calculated on a leaf area basis, leaves that developed
in the 35 °C treatment were on average 36% more expensive than their counterparts
from the 25 °C treatment (Fig. 2g,h). This
also appears to be reflected in the chemical analyses, where the leaves grown at
35 °C had significantly lower lignin content than the leaves grown at 25 °C
(Fig. 2i). The leaves grown at 35 °C also
generated significantly less volatile waxy compounds than those grown at the lower
temperature (Fig. 3).
Figure 1
Box plots representing the effects of growth at 25 and 35 °C on
the morphology of Ginkgo biloba leaves:
(a) leaf mass per area (one-way ANOVA
F1,53 = 41.5; P = 3.5 × 10−8); (b) leaf thickness (one-way ANOVA
F1,53 = 1502.7; P = 1.4 × 10−40); (c) leaf epidermal cell density (one-way ANOVA
F1,53 = 53.3; P = 1.5 × 10−9); (d) ratio of petiole width (PW) to leaf area
(one-way ANOVA F1,53 = 52.2; P = 2.0 × 10−9); (e) leaf carbon content (one-way ANOVA
F1,53 = 96.1; P = 1.6 × 10−13), and; (f) leaf nitrogen content (one-way ANOVA
F1,53 = 316.2; P = 5.4 × 10−4). The box signifies
the distribution of the 25–75% quartiles, the median is represented by a
horizontal line within the box, horizontal bars either side of the box
indicate minimum/maximum values. *indicates significant different between
the 25 and 35 °C treatments at the 0.05 significance level.
Figure 2
Box plots representing the effects of growth at 25 and 35 °C on
the parameters determined by calorimetry and construction costs of Ginkgo biloba leaves: (a) maximum heat release (one-way ANOVA
F1,53 = 3.801; P = 0.057); (b) peak heat
release (pHRR)(one-way ANOVA F1,53 = 58.9; P = 9.0 × 10−10);
(c) heat release capacity (HRCap)(one-way
ANOVA F1,53 = 61.9; P = 4.6 × 10−10); (d) total heat release (THR)(one-way ANOVA
F1,53 = 90.7; P = 4.5 × 10−13); (e) leaf construction cost per unit dry mass
following Williams, et
al.[51] (CCw mass)
(one-way ANOVA F1,53 = 34.2; P = 3.1 × 10−7); (f) leaf construction cost per unit dry mass
following de Vries, et
al.[53] (CCv mass)
(one-way ANOVA F1,53 = 65.2; P = 8.4 × 10−11); (g) CCw per unit leaf area
(CCw area) (one-way ANOVA
F1,53 = 14.5; P = 3.6 × 10−4); (h) CCv per unit leaf area
(CCv area) (one-way ANOVA
F1,53 = 10.6; P = 0.00195), and; (i) lignin
content per unit dry mass (one-way ANOVA
F1,53 = 114.9; P = 8.4 × 10−7). Box plots
presented as in Fig. 1.
Figure 3
Example GCMS spectra of lignin and volatile compound content of
Ginkgo biloba leaves and images of
impressions of the adaxial epidermis grown in the 25 °C treatment (a,c) and 35 °C
treatment (b,d). Scale bar on images of epidermal micromorphology indicates
100 μm.
Figure 4
Box plots representing the effects of growth at 25 and 35 °C on
the physiology of Ginkgo biloba leaves:
(a) photosynthesis (one-way ANOVA
F1,53 = 157.6; P = 1.7 × 10−17); (b) stomatal conductance (one-way ANOVA
F1,53 = 31.3; P = 7.9 × 10−7); (c) maximum rate of photosynthesis (one-way ANOVA
F1,53 = 181.2; P = 9.8 × 10−19); (d) respiration in the light (one-way ANOVA
F1,53 = 261.1; P = 4.0 × 10−22); (e) respiration in the dark (one-way ANOVA
F1,53 = 30.1; P = 1.2 × 10−6); (f) foliar content of chlorophyll a and b (one-way
ANOVA F1,53 = 150.1; P = 4.3 × 10−17); (g) maximum quantum yield of PSII (one-way ANOVA
F1,53 = 52.6; P = 1.8 × 10−9); (h) actual quantum yield of PSII (one-way ANOVA
F1,53 = 106.08; P = 3.0 × 10−14), and; (i) non-photochemical quenching (one-way ANOVA
F1,53 = 250.4; P = 1.0 × 10−23). Box plots
presented as in Fig. 1.
Box plots representing the effects of growth at 25 and 35 °C on
the morphology of Ginkgo biloba leaves:
(a) leaf mass per area (one-way ANOVA
F1,53 = 41.5; P = 3.5 × 10−8); (b) leaf thickness (one-way ANOVA
F1,53 = 1502.7; P = 1.4 × 10−40); (c) leaf epidermal cell density (one-way ANOVA
F1,53 = 53.3; P = 1.5 × 10−9); (d) ratio of petiole width (PW) to leaf area
(one-way ANOVA F1,53 = 52.2; P = 2.0 × 10−9); (e) leaf carbon content (one-way ANOVA
F1,53 = 96.1; P = 1.6 × 10−13), and; (f) leaf nitrogen content (one-way ANOVA
F1,53 = 316.2; P = 5.4 × 10−4). The box signifies
the distribution of the 25–75% quartiles, the median is represented by a
horizontal line within the box, horizontal bars either side of the box
indicate minimum/maximum values. *indicates significant different between
the 25 and 35 °C treatments at the 0.05 significance level.Box plots representing the effects of growth at 25 and 35 °C on
the parameters determined by calorimetry and construction costs of Ginkgo biloba leaves: (a) maximum heat release (one-way ANOVA
F1,53 = 3.801; P = 0.057); (b) peak heat
release (pHRR)(one-way ANOVA F1,53 = 58.9; P = 9.0 × 10−10);
(c) heat release capacity (HRCap)(one-way
ANOVA F1,53 = 61.9; P = 4.6 × 10−10); (d) total heat release (THR)(one-way ANOVA
F1,53 = 90.7; P = 4.5 × 10−13); (e) leaf construction cost per unit dry mass
following Williams, et
al.[51] (CCw mass)
(one-way ANOVA F1,53 = 34.2; P = 3.1 × 10−7); (f) leaf construction cost per unit dry mass
following de Vries, et
al.[53] (CCv mass)
(one-way ANOVA F1,53 = 65.2; P = 8.4 × 10−11); (g) CCw per unit leaf area
(CCw area) (one-way ANOVA
F1,53 = 14.5; P = 3.6 × 10−4); (h) CCv per unit leaf area
(CCv area) (one-way ANOVA
F1,53 = 10.6; P = 0.00195), and; (i) lignin
content per unit dry mass (one-way ANOVA
F1,53 = 114.9; P = 8.4 × 10−7). Box plots
presented as in Fig. 1.Example GCMS spectra of lignin and volatile compound content of
Ginkgo biloba leaves and images of
impressions of the adaxial epidermis grown in the 25 °C treatment (a,c) and 35 °C
treatment (b,d). Scale bar on images of epidermal micromorphology indicates
100 μm.Box plots representing the effects of growth at 25 and 35 °C on
the physiology of Ginkgo biloba leaves:
(a) photosynthesis (one-way ANOVA
F1,53 = 157.6; P = 1.7 × 10−17); (b) stomatal conductance (one-way ANOVA
F1,53 = 31.3; P = 7.9 × 10−7); (c) maximum rate of photosynthesis (one-way ANOVA
F1,53 = 181.2; P = 9.8 × 10−19); (d) respiration in the light (one-way ANOVA
F1,53 = 261.1; P = 4.0 × 10−22); (e) respiration in the dark (one-way ANOVA
F1,53 = 30.1; P = 1.2 × 10−6); (f) foliar content of chlorophyll a and b (one-way
ANOVA F1,53 = 150.1; P = 4.3 × 10−17); (g) maximum quantum yield of PSII (one-way ANOVA
F1,53 = 52.6; P = 1.8 × 10−9); (h) actual quantum yield of PSII (one-way ANOVA
F1,53 = 106.08; P = 3.0 × 10−14), and; (i) non-photochemical quenching (one-way ANOVA
F1,53 = 250.4; P = 1.0 × 10−23). Box plots
presented as in Fig. 1.Photosynthesis (Fig. 4a),
G
s (Fig. 4b) and
P
N max (Fig. 4c) were
all lower in leaves from the 35 °C treatment. In contrast, rates of respiration in
the light (Fig. 4d) and dark
(Fig. 4e) were larger in leaves from the
higher temperature (Fig. 4d,e), indicating
that the lower rates of P
N at 35 °C were not accompanied by reduced metabolic
activity. Lower G
s and transpirative water-loss at 35 °C did not translate
into improved transpiration efficiency due to diminished P
N (P
N/G
s: 25 °C treatment = 57.7 ± 3.0 μmol
CO2 mol−1
H2O; 35 °C treatment = −10.1 ± 3.0 μmol
CO2 mol−1
H2O). The amount of chlorophyll per unit leaf area was 61%
lower in leaves from the 35 °C treatment (Fig. 4f), and this corresponded to a 72% reduction in ΦPSII
(Fig. 4h). Non-photochemical quenching of
G. biloba leaves was reduced by 69% on average
in the 35 °C treatment (Fig. 4i).The LMA of the G. biloba leaves
exhibited significant positive correlations with ED (Fig. 5a) and the ratio of PW2 to leaf area
(Fig. 4b). Less strong negative
relationships were observed between construction cost per unit dry mass with LMA
(Fig. 5c,d), ED (Fig. 5e) or the ratio of PW2 to
leaf area (Fig. 5f). However, when leaf
construction costs were calculated per unit leaf area, slightly more robust positive
relationships were observed with ED (Fig. 5g) and the ratio of PW2 to leaf area
(Fig. 5h). Relationships between
photosynthetic and protective physiology of the G.
biloba leaves were also strongly affected by temperature
(Fig. 6). A strong positive relationship
was observed between P
N and G
s (Fig. 6a), but
P
N was negatively associated with R
light (Fig. 6b).
Photosynthesis measured using gas exchange was positively related to ΦPSII
(Fig. 6c) and NPQ (Fig. 6d) measured via chlorophyll fluorescence. The
concentration of chlorophyll within the G. biloba
leaves was also positively related to CO2 assimilation
determined using gas exchange (Fig. 6e) and
chlorophyll fluorescence (Fig. 6f)
techniques.
Figure 5
Correlations between leaf macro- and micro-morphology with leaf
economic and construction cost parameters of Ginkgo
biloba leaves developed in 25 °C (white fill symbols) and 35 °C
treatments (black fill symbols): (a)
relationship between LMA and epidermal cell density (ED); (b) relationship between LMA and the ratio of
PW2 (where PW = petiole width) to leaf area
plotted on a logarithmic scale; (c)
relationship between CCw per unit dry mass and LMA;
(d) relationship between
CCv per unit dry mass and LMA; (e) relationship between CCw
per unit dry mass and ED; (f) relationship
between CCw per unit dry mass and the ratio of
PW2 to leaf area plotted on a logarithmic
scale; (g) relationship between
CCw per unit leaf area and ED, and; (h) relationship between CCw
per unit leaf area and the ratio of PW2 to leaf
area plotted on a logarithmic scale. R2, F and
P values indicate the results of linear
regression. The central black line indicates the line of best fit. The grey
lines either side of the best-fit line indicate 95% confidence intervals of
the mean.
Figure 6
The effect of growth at 25 °C (white fill symbols) and 35 °C
(black fill symbols) on correlations between physiological parameters in
leaves of Ginkgo biloba: (a) relationship between P
N and G
s; (b) relationship
between P
N and R
light; (c)
relationship between P
N and ΦPSII; (d)
relationship between P
N and NPQ; (e)
relationship between P
N and foliar chlorophyll content, and; (f) relationship between ΦPSII and foliar
chlorophyll content. R2, F and P values indicate the results of linear
regression. The central black line indicates the line of best-fit. The grey
lines either side of the best fit line indicate 95% confidence intervals of
the mean.
Correlations between leaf macro- and micro-morphology with leaf
economic and construction cost parameters of Ginkgo
biloba leaves developed in 25 °C (white fill symbols) and 35 °C
treatments (black fill symbols): (a)
relationship between LMA and epidermal cell density (ED); (b) relationship between LMA and the ratio of
PW2 (where PW = petiole width) to leaf area
plotted on a logarithmic scale; (c)
relationship between CCw per unit dry mass and LMA;
(d) relationship between
CCv per unit dry mass and LMA; (e) relationship between CCw
per unit dry mass and ED; (f) relationship
between CCw per unit dry mass and the ratio of
PW2 to leaf area plotted on a logarithmic
scale; (g) relationship between
CCw per unit leaf area and ED, and; (h) relationship between CCw
per unit leaf area and the ratio of PW2 to leaf
area plotted on a logarithmic scale. R2, F and
P values indicate the results of linear
regression. The central black line indicates the line of best fit. The grey
lines either side of the best-fit line indicate 95% confidence intervals of
the mean.The effect of growth at 25 °C (white fill symbols) and 35 °C
(black fill symbols) on correlations between physiological parameters in
leaves of Ginkgo biloba: (a) relationship between P
N and G
s; (b) relationship
between P
N and R
light; (c)
relationship between P
N and ΦPSII; (d)
relationship between P
N and NPQ; (e)
relationship between P
N and foliar chlorophyll content, and; (f) relationship between ΦPSII and foliar
chlorophyll content. R2, F and P values indicate the results of linear
regression. The central black line indicates the line of best-fit. The grey
lines either side of the best fit line indicate 95% confidence intervals of
the mean.The pronounced impact of temperature on the leaves of G. biloba was also apparent in relationships of
photosynthetic physiology to LMA and the two possible proxy methods for estimating
the LMA of fossil plants (Fig. 7).
Photosynthesis, ΦPSII and NPQ were negatively related to LMA. Indeed, the
relationship of P
N with ED or ratio of PW2 to leaf
area was stronger than that with LMA. Respiration in the light exhibited negative
relationships to LMA, ED and PW2 to leaf area. These
correlations may suggest that the macro- and micro-morphology of G. biloba leaves may provide a basis to infer the status
of photosynthetic and protective physiology within the leaf.
Figure 7
Correlations between photosynthesis, R
light, ΦPSII and NPQ and morphological
characteristics of leaves of Ginkgo
biloba grown at 25 °C (white fill symbols) and 35 °C (black
fill symbols). The ratio of PW2 to area is
plotted on a logarithmic scale. R2, F and
P values indicate the results of linear
regression. The central black line indicates the line of best fit. The grey
lines either side of the best-fit line indicate 95% confidence intervals of
the mean.
Correlations between photosynthesis, R
light, ΦPSII and NPQ and morphological
characteristics of leaves of Ginkgo
biloba grown at 25 °C (white fill symbols) and 35 °C (black
fill symbols). The ratio of PW2 to area is
plotted on a logarithmic scale. R2, F and
P values indicate the results of linear
regression. The central black line indicates the line of best fit. The grey
lines either side of the best-fit line indicate 95% confidence intervals of
the mean.
Discussion
This study has shown that heat stress impaired P
N and affected leaf morphology in G.
biloba. The natural habitat of G.
biloba is not well defined as the species was restricted to refugia
during Pleistocene glacial episodes and has experienced centuries of managed
planting[57]. Nonetheless, G.
biloba has been cultivated extensively over a wide-range of
environments with differing climates[58], and grows successfully in warm humid climates
with mean summer temperatures of 30 °C where midday temperatures can exceed
40 °C[23].
Indeed, the female tree which was the source of the seeds and the nursery where the
seedlings grew were located in a region with a warm sub-Mediterranean climate,
suggesting that adaptation to cooler temperatures was not associated with the
pronounced response to heat stress observed in the study.- Exposure to 35 °C for
14 hours each day may have exceeded the tolerance of G.
biloba by progressively degrading the protective physiology. As the use
of energy for photochemistry declines, an increase in the dissipation of energy as
heat is frequently observed[59]. However, G.
biloba grown in the 35 °C treatment showed lower levels of NPQ than
those grown at 25 °C, suggesting that this protective mechanism was not functioning
as effectively at the higher temperature (Fig. 4i). The pronounced reduction in ΦPSII at 35 °C is consistent with
previous studies suggesting that the structure and function of the thylakoid
membrane is particularly vulnerable to heat stress[39,42,43].
The close correlation between ΦPSII and chlorophyll content indicates that the
increased pigment content in leaves from the 25 °C treatment enabled greater light
harvesting associated with an increased availability of PSII reaction centres for
electron transport involved in CO2
fixation[60]. The lower levels of photosynthetic
CO2 assimilation observed in G.
biloba (Fig. 4a) may be due to
decreased affinity for CO2 relative to
O2 resulting in an increase in photorespiration relative to
P
N, reduced solubility of CO2
[36,61] or reduced activity of RubisCO
activase[39,62].
This reduced carboxylation would decrease the capacity of photosystem I to accept
electrons from PSII[63], further exacerbating the deleterious effects of
excess energy on the thylakoid membranes.Higher temperatures negatively affected the carbon balance of the
G. biloba leaves via reduced P
N (Fig. 4a) and
increased respiration (Fig. 4d,e), this is
consistent with the decrease in lignin and volatile waxy compound production in the
leaves grown at 35 °C (Figs 2i and
3). In contrast to previous studies where
a short-term increase in temperature induced an increase in G
s and transpirative water-loss[40,64], a reduction in G
s at the higher temperature was observed (Fig. 4b). This stomatal acclimation is consistent with
Populus nigra grown for eight weeks at
35 °C[37].
Despite the reduced transpirative water-loss at 35 °C, this did not translate into
improved transpiration efficiency due to impaired CO2
assimilation. Moreover, the lower transpirative cooling[65] would exacerbate the impact of
growth at the higher temperature on the photosynthetic apparatus. As most plants
experience heat stress over a few hours[66], the prolonged exposure to higher temperature as
part of a simulated heat-wave in this study likely induced significant damage to
PSII and the protective xanthrophyll cycle (Fig. 4i). This damage to PSII was likely caused by the decline in the
amount of energy utilised in photochemistry due to reduced assimilation of
CO2 and lower capacity for transpirative cooling associated
with stomatal adaptation to the higher temperature.The chemical analyses of leaf composition, elemental analysis of
whole leaf carbon and nitrogen content and the microcalorimetry analyses provide
evidence of changes in leaf composition between the two treatments. The decrease in
carbon content, lignin and volatile waxy compounds in the 35 °C treatment G. biloba leaves highlights that investment in the
structure of the leaves is altered at the higher temperature. Specifically, fatty
acids and volatile waxes appear to be more limited in the leaves grown at the higher
temperature. This is further reflected in the energy content responses measured by
the microcalorimeter. The leaves from the 35 °C treatment were found to reach
maximum decomposition rate at lower temperatures when heated at the same ramp rate
as leaves grown in the 25 °C treatment. This indicates that the leaves grown at
35 °C contain compounds that are easier to break-down, implying that their
investment is likely to be in short-lived cellulosic compounds rather than
longer-lived lignin (eg. Fig. 2i). There is
also a large difference in pHRR between the two sets of leaves, with the leaves
grown at 25 °C releasing 60 W g−1 more energy than those
grown at the higher temperature. This is likely related to the significantly lower
abundance of volatile waxy compounds in the higher temperature leaves. The same is
observed for HRCap and THR, which both indicate that the structural investment and
the complexity of compounds is lower in the high temperature leaves; implying that
growth conditions have a significant influence on the energy content of the leaves.
Therefore, the damage induced to the photosynthetic and light harvesting apparatus
appears to have a large influence on investment in the construction of leaves. Not
only are the leaves more costly to produce, but the plants appeared to have more
limited resources to invest in longer chained carbon-based compounds.Analyses of leaf economics has been suggested to provide insights
into the physiological and morphological adaptations of plants to their
environment[67]. However, the application of leaf economics to
gauge the palaeo-ecology and physiology of fossil plants has been relatively
limited. It is not possible to directly determine the leaf economics of a fossil
plant or its physiological status. Instead, allometric relationships in leaf area
and PW[28] and
the density of epidermal cells[23] have been used to estimate the LMA of fossil
plants. The results of our growth experiments and analysis suggest that patterns in
leaf morphology correlate closely with physiological parameters such as P
N, R
light and ΦPSII (Fig. 7) as well as structural investment (Fig. 2) and therefore may provide novel palaeo-physiological data from
observations of leaf fossils. To assess this possibility we have considered changes
in Ginkgoales leaf morphology across the Triassic-Jurassic boundary, global warming
event as preserved at locations in East Greenland[68].At the Triassic – Jurassic boundary mean global temperatures are
proposed to have risen by 2.5 to 5.0 °C due to increased palaeo-atmospheric
[CO2][4,19,69], with much wider regional
variations of more than 10 °C in temperature[70]. Alongside the increased
incidence of heat-waves[35], this would have adversely affected
CO2-uptake in Late Triassic Ginkgoales. Moreover, the leaf
mass per area of fossil Ginkgoales is considered to have increased by 40–60% towards
the End Triassic[23,24],
and leaf architecture adjusted to reduce energy
interception[22]. Heat stress induced a 57.7% increase in the LMA
of G. biloba (Fig. 1a), and a rise in [CO2] from 380 to 1500
ppm has been shown to increase the LMA of G.
biloba by 30.6%[8]. The results of these observations under
controlled environment conditions would suggest that a rise in LMA of fossil
Ginkgoales at the end of the Triassic was likely due to higher
[CO2] and temperature. Nevertheless, it is unclear whether
a combination of heat stress and extremely elevated [CO2]
would have a cumulative, synergistic or antagonistic impact on the leaf economics of
G. biloba. The controlled environment analysis
conducted in this study indicates that rising temperatures at the Triassic –
Jurassic boundary would also have increased the construction cost of foliage per
unit area of the leaf (Fig. 2). In essence,
this equates to greater cost accompanied by diminished returns in the form of
reduced interception of PAR for P
N and less favourable rates of P
N to photorespiration. This shift in growth conditions as
temperatures rose would make leaves of Ginkgoales more expensive and with lower
photosynthetic returns; possibly accounting for regional extinctions of Ginkgoales
at the Triassic – Jurassic boundary[71] (for a summary of effects see Fig. 8). The T
max (Fig. 2a), HRCap
(Fig. 2c), lignin content
(Fig. 2i) and the abundance of volatile
waxy compounds data indicate a lower structural investment and a lower energy
content of the leaves from the higher temperature. A similar effect of higher
temperatures on leaf development may have affected the combustion
characteristics[3,72]
and preservation potential[8] of fossil plant material during the transition from
the Triassic to Jurassic.
Figure 8
A summary of the physiological and morphological effects of heat
stress on Ginkgo biloba leaves. Arrows
facing up and down indicate respectively higher and lower values of each
parameter.
A summary of the physiological and morphological effects of heat
stress on Ginkgo biloba leaves. Arrows
facing up and down indicate respectively higher and lower values of each
parameter.Heat stress induced a significant reduction in the capacity for
photosynthetic electron transport (Fig. 4g,h) and CO2 uptake (Fig. 4a,c). This lower P
N resulted in lower transpiration efficiency of G. biloba in the 35 °C treatment. If such a scenario were
replicated at episodes of global warming during Earth history this would reduce the
photosynthetic performance of C3 species; in particular, those individuals with
lower transpiration efficiencies, or exposed to high evapotranspirative demand. Some
C3 species may have adapted to higher temperatures via increased levels of RubisCO,
thus countering the impact of reduced RubisCO carboxylation[63]. However the formation of
RubisCO requires nitrogen, and as nitrogen is limiting in many terrestrial
environments[73,74],
an increase in RubisCO may not be feasible for many plants faced with heat stress.
The degradation of the protective mechanisms involved in the maintenance and
stabilisation of the thylakoid membranes during heat stress[44,59] would also contribute to plant stress at the
Late Triassic[22]. This would be compounded by reduced G
s at high temperatures (Fig. 4b), resulting in reduced transpirative
cooling[75]. The pattern of leaf economic responses to heat
stress observed under controlled climate conditions are consistent with the
micro[23]-
and macro-morphological[8,9]
patterns of fossil Ginkgoales at the Triassic – Jurassic boundary, suggesting that
heat stress may have potentially played a role in floral turnover recorded at the
boundary[71,76].
Estimates of the leaf economics of fossil Ginkgoales based upon epidermal
micromorphology suggest that LMA values increased by 40.1 (from 71.4 ± 2.0 to
100.0 ± 3.5 g m−2
[24]) to 54.1%
(from 85.5 ± 2.6 to 132.2 ± 4.1 g m−2
[23]) at the
Triassic – Jurassic boundary. The reconstructed LMA values of the fossil Ginkgoales
are comparable to those observed in the 35 °C treatment (Fig. 1a) and G. biloba
trees growing in a warm humid sub-Mediterranean climate[23]. Higher temperatures,
especially those significantly above normal levels associated with heat-waves, may
act as a strong selective pressure in the extinction, origination and
diversification of plant species over geological timescales.Our fossil analysis suggests that the correlations we report between
metabolism and photosynthesis with LMA, lignin content, volatile compounds, ED and
the ratio of PW2 to leaf area may allow inferences to be
drawn regarding the physiological status of fossil plants; particularly in the
context of a stratigraphic sequence where the relative changes in leaf morphology
through the sequence provide context to the physiological responses and the
selective pressures (such as variations in palaeo-[CO2] or
-temperature) that may have driven these changes.Higher temperatures induced a significant increase in the LMA of
G. biloba leaves (Fig. 1a), consistent with observations of higher LMA in
G. biloba from warmer
areas[22]
and controlled environment temperature experiments involving other
species[27]. Heat stress also resulted in the allometric
relationships between LMA and both ED (Fig. 5a) and PW2 to leaf area
(Fig. 5b) becoming more variable. This may
suggest that stress conditions were adversely affecting leaf
development[77], which is also reflected in the shift to higher
nitrogen contents and lower lignin and volatile compound investment. Nonetheless,
both ED and PW2 to leaf area showed significant
relationships to LMA that could be utilised in the reconstruction of leaf economics
in fossil Ginkgoales during episodes of temperature change for example the Early
Eocene Climatic Optimum[17]. The leaves of G.
biloba can either ‘short’ or ‘long’ petiole
morphotypes[78]. All of the leaves analysed in this study were of
the short petiole morphotype. The scaling relationship between
PW2 to leaf area[28] becomes less robust in
G. biloba when a mixture of short and long
petiole leaves are analysed[78]. Furthermore, the
PW2/leaf area approach relies upon a high degree of
preservation where the entire leaf area is intact with the petiole still attached;
however, many fossil leaves are fragmented during transport prior to deposition eg.
Oldham[79], possibly limiting the application of this method.
Nevertheless, G. biloba modifies the physiology
and morphology of its leaves in response to heat stress. The photosynthetic
apparatus, leaf morphology and leaf composition are clearly affected by
environmental conditions; moreover, they are intrinsically linked during leaf
development. As such, the interrelated correlations between leaf morphology,
construction costs and physiology can be used to reconstruct the likely responses of
fossil plants to environmental change, and infer the selective pressures that have
shaped plant evolution during episodes of global warming.
Authors: Sarah J Baker; Rebecca A Dewhirst; Jennifer C McElwain; Matthew Haworth; Claire M Belcher Journal: New Phytol Date: 2022-06-30 Impact factor: 10.323