Next Article in Journal
Seasonal Dynamics of Soil Enzymatic Activity under Different Land-Use Types in Rocky Mountainous Region of North China
Next Article in Special Issue
Ilex danxiaensis (Aquifoliaceae), a Distinct New Tree Species Endemic to Danxia Mountain in Guangdong Province, China, Based on Molecular and Morphological Evidence
Previous Article in Journal
Tree Genetics: Molecular and Functional Characterization of Genes
Previous Article in Special Issue
Effects of Pruning on Vegetation Growth and Soil Properties in Poplar Plantations
 
 
Font Type:
Arial Georgia Verdana
Font Size:
Aa Aa Aa
Line Spacing:
Column Width:
Background:
Article

Hydraulic and Economical Traits in Short- and Long-Shoot Leaves of Ginkgo biloba Males and Females

1
School of Forestry and Landscape Architecture, Anhui Agricultural University, Changjiang West Road 130, Shushan District, Hefei 230036, China
2
College of Biology and the Environment, Nanjing Forestry University, Longpan Road 159, Xuanwu District, Nanjing 210037, China
3
Hefei Urban Ecosystem Research Station, National Forestry and Grassland Administration, Changjiang West Road 130, Shushan District, Hefei 230036, China
*
Author to whom correspondence should be addressed.
These authors contributed equally to this work.
Forests 2023, 14(3), 535; https://doi.org/10.3390/f14030535
Submission received: 4 February 2023 / Revised: 3 March 2023 / Accepted: 7 March 2023 / Published: 8 March 2023

Abstract

:
Ginkgo biloba is a dioecious heterophyllous tree species with two leaf types. Short shoots always bear many leaves, which are undivided or slightly bilobed, but long-shoot leaves are smaller and are deeply divided into two or more lobes. To clarify the functional difference between the two leaf types, we investigated the morphology, anatomy, gas exchange, and hydraulic traits of the two leaf types in male and female trees. Our results showed that long-shoot leaves possessed a lower specific leaf area (SLA), higher leaf thickness, gas exchange rates, and average tracheid number than short-shoot leaves. When compared to short-shoot leaves, long-shoot leaves in male trees had higher leaf hydraulic conductance (Kleaf) and leaf water potential of 50% loss in Kleaf (leaf P50), while female trees exhibited relatively higher Kleaf. When comparing sexual differences, male trees possessed higher leaf thickness, leaf dissection index, vein density (VD), and predawn leaf water potential and lower SLA, tracheid number, and midday leaf water potential, while no significant difference in leaf P50 was observed between the two sexes. Male trees exhibited greater leaf gas exchange rates, which were tightly associated with other functional traits, such as VD and Kleaf. We found strong shoot-based and sex-related heterogeneities in the leaf hydrology, anatomy, and economy of Ginkgo biloba. Moreover, male ginkgoes may perform better due to their greater leaf hydraulic efficiency and gas exchange rates.

1. Introduction

Many plant species have different leaf forms within a single plant, which is termed heterophylly. In some cases, heterophylly has been recognized as an adaptive mechanism that allows plants to respond optimally to micro-environmental heterogeneity [1]. The development of heteromorphic leaves may reflect an ecological adaptation of plants. For example, the floating and aerial leaves of Nuphar lutea (L.) Smith. should be considered sun-adapted, while submerged near-base leaves should be considered shade-adapted. This phenomenon can be an adaptive strategy for plants to ensure photosynthetic efficiency under different light intensities [2]. Another form of heterophylly is that some plants have distinct leaf forms developed from different shoot types, such as short shoots and long shoots. Short shoots are linked with reproductive organs, whereas long shoots are contributed to the rapid extension of branches and perform photosynthesis at high rates [3,4]. Although many heterophylly has been studied in angiosperm species [2,5], further research is needed on gymnosperms [4,6].
A notable gymnosperm with shoot-based heterophylly is Gingko biloba L. (Ginkgoaceae), which has two leaf types that differ in their morphology. The short-shoot varieties bear many leaves, which are undivided or slightly bilobed and appear in early spring from overwintering buds, while the leaves of long-shoot varieties are smaller and are deeply divided into two or more lobes [4,7]. Previous studies suggested that the morphological differences between sun and shade leaves (a form of heterophylly) might be mainly controlled through restricted hydraulic supply during cell expansion, which results in deeper lobes, higher vein density, and stomatal density in sun leaves [8,9]. Notably, short-shoot leaves in ginkgoes absorb water exclusively through mature stems, whereas long-shoot leaves rely on water provided by the xylem that is not yet fully developed [4]. In addition, Little et al. [10] found that the short shoots of G. biloba produce more radial tracheids per single ring than long shoots. Thus, the differences in developmental and morphological traits between long-shoot leaves and short-shoot leaves suggest that long-shoot leaves might have a greater hydraulic threshold, and consequently, the leaves developed from these two shoot types may differ in their carbon economy (e.g., gas exchange, specific leaf area, and leaf thickness) and hydrology.
The leaves are the bottleneck of the plant hydraulic system, and their venation network must be sufficient to provide enough water for a given stomatal pore area and gas exchange rate [11,12]. Previous studies have found strong positional variations in leaf anatomy, which proved that the structure could be heterogeneous even in a given leaf [12,13,14,15]. Leigh et al. [4] further confirmed this result by finding that the leaf vein density, stomatal density, and tracheid numbers in G. biloba were highly heterogeneous among positions. Unfortunately, many studies on the leaf anatomy of G. biloba still focus on a single region [16,17,18]. Notably, G. biloba has distinctive fan-shaped leaves with an open dichotomous venation pattern. By understanding the differences in the anatomical traits of fan-shaped leaves, we may be able to explore the adaptation mechanisms of these two leaf types when they are under abiotic stress.
Dioecy was found in almost 65% (8 of the 12 families) of contemporary gymnosperms [19], and dioecious plant species play an essential role in terrestrial ecosystems [20,21]. In nature, both structure and physiology could markedly differ between individual dioecious plants. According to a recent review of Populus, Melnikova et al. [22] concluded that the growth and photosynthesis of females were more susceptible to inhibition by drought stress than males. Olano et al. [23] found that the xylem anatomy traits of male Juniperus thurifera (L.) Spach, a dioecious conifer species, showed a more conservative strategy, while females sacrificed hydraulic safety for higher hydraulic conductivity. Such phenomena indicated sex-specific variation in the ability to resist environmental stress, and male individuals may perform better than female ones under abiotic or biotic stresses [24,25,26]. The morphological, proteomic, and/or physiological research of single-sex ginkgo responses to drought or salt stress has been undertaken [27,28]. However, the differences in adaptation to environmental conditions between sexes remain unclear.
Urban trees were often exposed to more severe dry heat stress due to the urban heat island (UHI) effect. Increased UHI will lead to increased evapotranspiration of trees; thus, drought stress in urban trees may be more severe in the future [29]. Ginkgo biloba has been widely planted in China for centuries and has become a popular roadside tree due to its high economic and landscape values and drought-resistance ability [18,30]. Thus, the aims of this study were to (1) determine the differences in hydraulic, anatomical, and economic traits between long- and short-shoot leaves, and (2) test the drought resistance of male and female ginkgoes. We hypothesized that (1) long-shoot leaves tend to have higher hydraulic efficiency due to their initial hydraulic constraints, and (2) male plants exhibit superior drought resistance than females due to their greater leaf hydraulic efficiency.

2. Material and Methods

2.1. Study Site and Plant Material

The study site (31°86′19″ N, 117°25′70″ E) was located at Anhui Agricultural University Campus, Hefei, Central Anhui Province, China. It has a humid subtropical monsoon climate with an average temperature of 15.7 °C, and an average rainfall of 1000 mm. From July to September 2021, eight mature trees (four of each sex) growing in an exposed area were selected for the study. The diameter at breast height ranged between 30.0 and 32.6 cm and showed no significant difference between the two sexes. We used a 6 m long averruncator to collect the fully extended branches (height about 3 m) facing south. The sampled tree individuals in this study were transplanted from a nursery in Hefei city around 2010. The scheme of experimental design and the climate of the study area are shown in Figure 1 and Figure S1, respectively.

2.2. Leaf Water Potential

The leaf water potentials were measured using two Scholander-type pressure chambers (PMS 1505D, PMS Instruments Co., Albany, OR, USA). On consecutive sunny days in July 2021, we collected three fully extended branches from each tree individual and six leaves (three leaves in each shoot type) from each branch. The measurements were performed between 05:30 and 07:00 for the predawn leaf water potential (Ψpd; MPa) and between 13:00 and 15:00 for the midday leaf water potential (Ψmd; MPa).

2.3. Leaf Gas Exchange and Hydraulic Conductance

In August 2021, a total of 12 fully extended branches with expanded healthy leaves 2–3 m above the ground from 4 individuals per sex were collected. Three fresh and healthy leaves from each shoot type were randomly chosen for gas exchange measurements using a portable photosynthesis system (Li-6800, Li-Cor Inc., Lincoln, NE, USA) between 09:00 and 11:30 on sunny days. Depending on the weather condition of measurement, the chamber’s CO2 concentration was 400 µmol mol−1, the light intensity was 800 µmol m−2 s−1, the relative humidity was 60%, and the leaf temperature was 25 °C. During measurements, the branches were put into a large bucket full of water to avoid water loss. Leaf gas exchange parameters were monitored to ensure reaching a stable state before data were recorded. The instantaneous water use efficiency (WUEi; mmol mol−1) was calculated as the net photosynthesis rate (A; µmol m−2 s−1) divided by the transpiration rate (Tr; mmol m−2 s−1).
The leaf hydraulic conductance (Kleaf; mmol m−2 s−1 MPa−1) was measured using the gas exchange method [31]. Briefly, a total of nine leaves in each shoot type were measured from each tree individual. The leaves were wrapped in black plastic bags and aluminum foil on the night before the measurement, and thus, the wrapped leaf water potential (Ψw; MPa) was assumed to be equivalent to the stem water potential. On the next day, the adjacent leaves of the wrapped leaves were selected for gas exchange measurements. When the leaf gas exchange was finished, the water potentials of the leaves used for gas exchange (Ψgas; MPa) and Ψw were immediately measured using two Scholander-type pressure chambers, respectively.
K leaf = Tr Ψ w Ψ gas  

2.4. Leaf Vulnerability Curves

Before the leaf vulnerability curve was plotted, considering the fact that long-shoot leaves are relatively less common than short-shoot leaves, we collected three branches (about 60 cm long) from each sex and immediately recut them (about 5 cm long) underwater. In the lab, the cut branches were covered overnight with a black plastic bag until the leaf water potential was >−0.10 MPa.
The branches were removed from the water and covered with black plastic bags so that the leaf water potential of the whole branch was balanced between the upper (long shoot) and the lower (short shoot) values. The branches were dehydrated naturally for 72 h, and the leaf water potentials for long shoots and short shoots were measured every 1 h to ensure that there was no significant difference between the two leaf types. Therefore, unless otherwise stated, when measuring the values for the vulnerability curve of long-shoot leaves, the water potential of short-shoot leaves was used instead when the number of long-shoot leaves was insufficient.
A total of 48 leaves (24 leaves of each shoot type) from 8 individuals were selected to plot the leaf vulnerability curve, which was evaluated using the optical technique [32]. When the leaf water potential of the cut branches was close to 0 MPa, we began to dehydrate them for 72 h in a black plastic bag while imaging the healthy and fully expanded leaf. We cleaned the leaf surface with deionized water and clamped the leaf firmly in the middle with two transparent glass plates (the leaf was still attached to the shoot). This limited the leaf movement and shrinking during dehydration. The leaf was imaged every 5 min using a custom-built imaging clamp (http://www.opensourceov.org, accessed on 3 February 2023). The imaged area near the center of the leaf was at least 500 mm2. The leaf water potential was measured every 1 to 2 h via a Scholander-type pressure chamber. Image sequences were analyzed as described in http://www.opensourceov.org/process/ (accessed on 3 February 2023) to measure the embolized area for each image and generate the vulnerability curve, expressed as a percentage of embolized pixels vs. leaf water potential; also, the leaf water potential of 50% loss in Kleaf (leaf P50) was calculated using the R package ‘fitplc’ [33].

2.5. Leaf Morphology and Anatomy

After the Kleaf measurement, the leaves were collected and cleaned with deionized and then scanned using a scanner. Leaf area and perimeter were measured using ImageJ (National Institute of Health, Bethesda, MD, USA). After leaf-area measurement, the leaf samples were oven-dried at 60 °C for 72 h to estimate their dry mass. The leaf dissection index (LDI) and specific leaf area (SLA; cm2 g−1) were calculated as follows:
LDI = Leaf   perimeter / Leaf   area 2
SLA = Leaf   dry   mass / Leaf   area
A total of 80 leaves (40 leaves of each shoot type) from 4 individuals per sex were selected to measure the vein density (VD; mm mm−2) at 3 locations on each leaf (at the apex, middle, and base). The pre-experiment found that the leaf veins of G. biloba could be clearly observed under the microscope even if the leaves were not treated. Thus, the leaf samples were saved in FAA (37% formalin + 70% alcohol + 100% acetic acid) fixative solution to consume most of the leaf pigments, making it possible that all the vein networks could be seen without further clearing or staining. The samples were then imaged using a light microscope, and the total vein length was analyzed using ImageJ. The VD was defined as the total vein length per unit of leaf area. The stomatal density (SD; no mm−2) of the abaxial leaf surface was determined for the apex, middle, and base with clear nail varnish and measured under 10× magnification using a light microscope (DM2500, Leica Microsystems Ltd., Wetzlar, Germany). Leaf thickness and the parameters of tracheid measurements were performed on 18 leaves (9 leaves of each shoot type) in each tree. Leaf cross-sections at the three locations (at the apex, middle, and base) were obtained via a rotary microtome (RM2255, Leica Microsystems Ltd., Germany). The leaf thickness and the number of every tracheid lumen in a vein cross-section were photographed with a light microscope (DM2500, Leica Microsystems Ltd., Germany) at 10× magnification and 40× magnification, respectively, and then measured using ImageJ. At the same time, the tracheid was assumed to be oval. Thus, the average tracheid diameter was calculated by multiplying the length of the two axes together and taking the square root of the product.

2.6. Statistical Analysis

Two-way nested ANOVA was used to estimate the effects of leaf type and position, as well as of leaf type and sex. An independent-sample t-test was conducted to identify the anatomical differences between the two sexes. Multiple comparisons were performed using Ducan’s test to evaluate the differences in variables between leaf types using SPSS 20.0 (SPSS, Inc., Chicago, IL, USA). A p value of less than 0.05 was considered statistically significant. Leaf vulnerability curve fitting, principal component analyses (PCA), and correlation analysis were conducted using R 4.1.2 (The R Foundation for Statistical Computing, Austria).

3. Results

3.1. Leaf Morphoanatomical Traits of Long Shoot and Short Shoot

Long-shoot leaves exhibited remarkably lower specific leaf area (SLA) and greater leaf dissection index (LDI) than short-shoot leaves in both sex individuals (Figure 2). Meanwhile, males showed significantly higher LDI and lower SLA than females (Figure 2). The nested ANOVA found that the leaf thickness and average tracheid number were significantly affected by position (p < 0.001) and leaf type (Figure 3), and these two traits in long-shoot leaves were almost higher than in short-shoot leaves in both sex individuals. Meanwhile, the tracheid of long-shoot leaves’ basal region was narrower and relatively abundant than that of short-shoot leaves in male and female G. biloba (Figure 3c–f). However, the leaf tracheid diameter, stomatal density (SD), and vein density (VD) in male G. biloba were unaffected by leaf type, while the SD and VD in female G. biloba were affected by leaf type (Figure 3e,f and Figure 4). The leaf thickness and VD were decreased from the base to the apex in both two leaf types (Figure 3a,b and Figure 4c,d). Regardless of the leaf type and position effects, males possessed a lower average tracheid number but higher VD and thicker leaves than females (Table S2).

3.2. Leaf Gas Exchange of Long Shoot and Short Shoot

Long-shoot leaves exhibited significantly higher net photosynthesis rate and transpiration rate (Tr) than short-shoot leaves in both sexes (Figure 5a,c). The Tr of male long-shoot leaves was significantly higher than that of short-shoot leaves (p = 0.02). The net photosynthesis rate, Tr, and stomatal conductance (gs) in both leaf types had similar trends. Moreover, the WUEi of male long-shoot leaves and gs of female long-shoot leaves were significantly higher than those of short-shoot leaves (Figure 5b,d). Without considering leaf-type effects, males exhibited markedly higher net photosynthesis rate, Tr, gs, and a higher instantaneous water use efficiency (WUEi) than females.

3.3. Leaf Hydraulics of Long Shoot and Short Shoot

In females, the predawn leaf water potential (Ψpd) of short-shoot leaves was more negative than that of long-shoot leaves (Figure 6a). Additionally, a significant difference in the midday leaf water potential (Ψmd) between the two leaf types in male and female G. biloba was observed, with the water potential of short-shoot leaves being more negative (Figure 6b). Male long-shoot leaves exhibited remarkably greater leaf hydraulic conductance (Kleaf) and the water potential of 50% loss in leaf hydraulic conductance (leaf P50) compared with short-shoot leaves, whereas female long-shoot leaves displayed slightly higher Kleaf (Figure 6c,d). No significant difference was observed in leaf P50 between males and females without considering the effects of leaf types. Females had a more negative Ψpd, while males had a more negative Ψmd and higher Kleaf (Figure 6).

3.4. Trait Coordination

We found that VD was greatly correlated with the leaf thickness and negatively correlated with SLA and tracheid number. In addition, the leaf net photosynthesis rate was positively correlated with LDI, leaf thickness, VD, Tr, gs, and WUEi, while it was negatively correlated with SLA. Kleaf was strongly related to Ψpd, the net photosynthesis rate, Tr, gs, LDI, SLA, VD, and leaf thickness, while it was independent of tracheid number and the traits associated with leaf P50 (Figure 7).
Overall, leaf types and sexes significantly affected the morphoanatomical and physiological responses for Gingko biloba (Figure S2). LDI, the net photosynthesis rate, gs, WUEi, VD, Kleaf, and Ψpd were located at the positive end, whereas SLA was located at the negative end on the PC1 axis. The PC2 axis was mostly influenced by Ψmd, tracheid number (TN), SD, and the leaf drought tolerance trait (leaf P50) on the positive side.

4. Discussion

4.1. Variation in Leaf Functional Traits between Long- and Short-Shoot Leaves

In the present study, we found a strong heterogeneity in leaf functional traits between the two leaf types in Ginkgo biloba. We found that the net photosynthesis rate, vein density (VD), and leaf hydraulic conductance (Kleaf) were higher in long-shoot leaves than in short-shoot leaves. Similar to the long shoots of other species, which extended their canopy by taking advantage of elevated radiation conditions, long-shoot leaves might achieve rapid growth through higher gas exchange rates and an adequate leaf water supply [4]. The positive relationships among VD, Kleaf, and net photosynthesis rate further support the findings of Leigh et al. [4].
When improving the water conductivity or maintaining a high photosynthesis rate, air bubbles may invade the vascular system and subsequently increase the risk of cavitation [4,34]. As an important hydraulic trait, the water potential of 50% loss in leaf hydraulic conductance (leaf P50) was closely associated with plant drought tolerance [35,36]. The long-shoot varieties showed higher leaf P50 than their short-shoot counterpart, indicating a lower resistance to embolism (lower hydraulic safety). However, long-shoot leaves might reduce the risk of embolism through coordination between economical traits and other hydraulic traits. Specifically, long-shoot leaves possessed higher VD and leaf thickness and lower specific leaf area (SLA) than short-shoot leaves under the same external conditions, and these three traits were tightly related. The higher VD implied that when leaves were at risk of embolism, long-shoot leaves could transport water through non-embolized veins, achieving a more flexible water transport strategy [37]. Moreover, it has been suggested that selection stress in drought conditions favors plants with low SLA due to their higher leaf dry matter content [38,39], and a previous study reported that G. biloba could enhance the water retention ability by keeping higher leaf thickness when facing drought and/or heat stress [40]. Hence, the coordination between leaf functional traits might help long-shoot leaves acclimate to future drought conditions.
In addition to the above discussion, the leaf thickness, tracheid number, stomatal density (SD), and VD were higher in long-shoot leaves than in short-shoot leaves, and these traits in these two leaf types decreased from basal to apical regions (Figure 3 and Figure 4), indicating that there was a strong variation in leaf structural traits. The trade-off between the tracheid size and number (more abundant and narrower tracheids) of long-shoot leaves might also represent an adaptation for increased safety during periods of high evaporative demand in summer. Moreover, we also found that long-shoot leaves could achieve the trade-off between hydraulic efficiency (higher Kleaf) and hydraulic safety.

4.2. Variation in Leaf Functional Traits between Males and Females

Inconsistent with our initial hypothesis, our analysis demonstrated that the difference in leaf P50 between males and females was not significant (Figure 6). The low variation exhibited by leaf P50 between sexes was in agreement with the results reported for gymnosperms and reinforced the conservative nature of this trait [23,41]. Another reasonable explanation was that the differences in sexes might be obscured by the differences in leaves within single-sex species. Thus, leaf P50 might not be the main factor affecting the difference in drought-resistance capacity between males and females under natural conditions. Interestingly, the Ψpd and Tr of female short-shoot leaves were lower than those of the other leaves. Such phenomena might be attributed to the finding that the water transport efficiency of female short-shoot leaves was lower than those of other leaves. Compared with male long- and short-shoot leaves, the female short-shoot leaves also showed lower leaf thickness, VD, WUEi, and Kleaf.
We found that males had higher VD, Kleaf, and leaf thickness than females. The correlation analysis emphasized the fact that the coordination between these anatomical and hydraulic traits might play an important role in water transport (Figure 7). The higher VD might be a major factor in increasing Kleaf by improving the water exchange area between the xylem and the surrounding mesophyll cells and reducing the distance of water passing through the mesophyll space [42,43]. Furthermore, we observed that males sustained higher gas exchange rates in summer by maintaining higher VD, Kleaf, and instantaneous water use efficiency (WUEi). A previous study suggested that the change in Kleaf is usually linked with stomatal closure and, accordingly, affects the photosynthesis of plants [44], because CO2 and water exchange between leaves and air share a common route through stomatal pores. When the ability of CO2 assimilation is reduced, this, in turn, limits the development of leaf veins, indicating that there is a trade-off between the investment and return of leaf structure [34]. Hence, it was not surprising that males tended to show greater net photosynthesis rate, Kleaf, and VD than females. These results indicate that males might achieve an ecological advantage in summer due to their higher gas exchange rates and hydraulic efficiency. Many previous studies have demonstrated sex-specific differences in resistance to environmental stress, nutrient uptake, and utilization strategies, and consequently, male individuals perform better than female individuals [20,45,46]. We suspected that the sex-specific differences in the hydraulic traits and resource utilization of ginkgoes might result in a situation where females are more prone than males to future urban drought conditions, thus ultimately leading to a population decline. Our study revealed that the net photosynthesis rate differed between males and females. Similar results were also reported by Correia and Barradas [47], who found that the net photosynthesis rate and stomatal conductance (gs) of Pistacia lentiscus L. (Anacardiaceae) under natural environments in summer were higher in males than that in females. However, the pattern of leaf photosynthesis in dioecious trees might be complex. Jin et al. [48] reported that the leaf net photosynthesis of female Ginkgoes was higher than that of males in April, whereas Shi et al. [49] found that the leaf net photosynthesis of male ginkgoes was higher in August. Such phenomena suggest that sex-related differences in photosynthetic patterns are probably related to the measurement time due to the different reproductive costs of dioecious trees. Therefore, the dynamic changes in leaf gas exchange between male and female ginkgoes, and the hydraulic and economic traits of other dioecious trees need further research.

5. Conclusions

Our results showed that long-shoot leaves were thicker, with lower SLA and higher average tracheid number, Ψmd, net photosynthesis rate, and Tr than short-shoot leaves in male and female Ginkgo biloba. In addition, due to its unique fan-shaped leaves, there was also considerable heterogeneity in the anatomical traits of different positions of the leaves. The two leaf types of males could achieve the trade-off between hydraulic efficiency and safety in that lower Kleaf was accompanied by more negative leaf P50. Although no significant difference in leaf P50 was observed, males may perform better in summer via higher leaf hydraulic efficiency and gas exchange rates than females. We found discrepancies in hydraulic and carbon economic traits between the two leaf types in males and females G. biloba. It should be noted that this study had a small sample size and was conducted on only one site. Future studies are necessary to explore the hydraulic and economic traits of dioecious plants over a large-scale environmental gradient.

Supplementary Materials

The following supporting information can be downloaded at: https://www.mdpi.com/article/10.3390/f14030535/s1. Figure S1: The climate conditions of study area in 2020 (a) and 2021 (b), respectively; Figure S2: Principal component analyses on long shoot and short shoot leaves physiological and anatomical traits of males and females Ginkgo biloba. SD: stomatal density; VD: vein density; gs: stomatal conductance; A: net photosynthesis rate; WUEi: instantaneous water use efficiency; SLA: specific leaf area; LDI: leaf dissection index; Kleaf: leaf hydraulic conductance; Ψmd: midday leaf water potential; Ψpd: predawn leaf water potential; P50: water potential of 50% loss in leaf hydraulic conductance; TN: average tracheid number; TD: average tracheid diameter; Table S1: An overview table of all measurements including the name, the unit, total number of measured leaves from each tree, and the number of final replicates; Table S2: Results from independent-samples t-test for the difference between males and females Ginkgo biloba on leaf anatomical traits; Table S3: Information about the statistical output from two-way nested ANOVA.

Author Contributions

Y.L. conceived this study. H.L. and C.Z. conducted the experiment. H.L. wrote the main manuscript. Y.M., F.Z., N.H. and J.W. edited the manuscript. All authors have read and agreed to the published version of the manuscript.

Funding

This research was funded by the National Natural Science Foundation of China (31800511) and the Scientific Research Project of Anhui Higher Education Institutions (2022AH050916).

Institutional Review Board Statement

The presented research did not involve human subjects or animals and therefore did not require ethics approval. All methods were carried out in compliance with local and national regulations. The first author (Huihui Liu) identified and deposited voucher specimens in the herbarium of the School of Forestry and Landscape Architecture, Anhui Agricultural University.

Informed Consent Statement

Not applicable.

Data Availability Statement

Datasets are available from the corresponding author upon reasonable request.

Conflicts of Interest

The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.

Abbreviations

SDstomatal density
LTleaf thickness
VDvein density
WUEiinstantaneous water use efficiency
gsstomatal conductance
Anet photosynthesis rate
Trtranspiration rate
SLAspecific leaf area
LDIleaf dissection index
Kleafleaf hydraulic conductance
Ψmdmidday leaf water potential
Ψpdpredawn leaf water potential
P50water potential of 50% loss in leaf hydraulic conductance
TNaverage tracheid number
TDaverage tracheid diameter

References

  1. Nakayama, H.; Sinha, N.R.; Kimura, S. How do plants and phytohormones accomplish heterophylly, leaf phenotypic plasticity, in response to environmental cues. Front. Plant Sci. 2017, 8, 1717. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  2. Kordyum, E.; Klimenko, E. Chloroplast ultrastructure and chlorophyll performance in the leaves of heterophyllous Nuphar lutea (L.) Smith. plants. Aquat. Bot. 2013, 110, 84–91. [Google Scholar] [CrossRef]
  3. Miyazawa, Y.; Kikuzawa, K. Phenology and photosynthetic traits of short shoots and long shoots in Betula grossa. Tree Physiol. 2004, 24, 631–637. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  4. Leigh, A.; Zwieniecki, M.A.; Rockwell, F.E.; Boyce, C.K.; Nicotra, A.B.; Holbrook, N.M. Structural and hydraulic correlates of heterophylly in Ginkgo biloba. New Phytol. 2011, 189, 459–470. [Google Scholar] [CrossRef] [PubMed]
  5. Zhang, C.X.; Tanabe, K.; Tamura, F.; Itai, A. Spur characteristics, fruit growth, and carbon partitioning in two late-maturing Japanese pear (Pyrus pyrifolia Nakai) cultivars with contrasting fruit size. J. Am. Soc. Hortic. Sci. 2005, 130, 252–260. [Google Scholar] [CrossRef] [Green Version]
  6. Meyen, S.V. Basic features of gymnosperm systematics and phylogeny as evidenced by the fossil record. Bot. Rev. 1984, 50, 1–111. [Google Scholar] [CrossRef]
  7. Critchfield, W. Shoot growth and heterophylly in Ginkgo biloba. Bot. Gaz. 1970, 131, 150–162. [Google Scholar] [CrossRef]
  8. Zwieniecki, M.A.; Boyce, C.K.; Holbrook, N.M. Hydraulic limitations imposed by crown placement determine final size and shape of Quercus rubra L. leaves. Plant Cell Environ. 2004, 27, 357–365. [Google Scholar] [CrossRef]
  9. Boyce, C.K. Seeing the forest with the leaves—Clues to canopy placement from leaf fossil size and venation characteristics. Geobiology 2009, 7, 192–199. [Google Scholar] [CrossRef]
  10. Little, S.A.; Jacobs, B.; McKechnie, S.J.; Cooper, R.L.; Christianson, M.L.; Jernstedt, J.A. Branch architecture in Ginkgo biloba: Wood anatomy and long shoot-short shoot interactions. Am. J. Bot. 2013, 100, 1923–1935. [Google Scholar] [CrossRef]
  11. Sack, L.; Streeter, C.M.; Holbrook, N.M. Hydraulic analysis of water flow through leaves of sugar maple and red oak. Plant Physiol. 2004, 134, 1824–1833. [Google Scholar] [CrossRef] [Green Version]
  12. Li, S.; Zhang, Y.J.; Sack, L.; Scoffoni, C.; Ishida, A.; Chen, Y.J.; Cao, K.F. The heterogeneity and spatial patterning of structure and physiology across the leaf surface in giant leaves of Alocasia macrorrhiza. PLoS ONE 2013, 8, e66016. [Google Scholar] [CrossRef] [PubMed]
  13. Martre, P.; Durand, J.L. Quantitative analysis of vasculature in the leaves of Festuca arundinacea (Poaceae): Implications for axial water transport. Int. J. Plant Sci. 2001, 162, 755–766. [Google Scholar] [CrossRef]
  14. Nardini, A.; Gortan, E.; Ramani, M.; Salleo, S. Heterogeneity of gas exchange rates over the leaf surface in tobacco: An effect of hydraulic architecture? Plant Cell Environ. 2008, 31, 804–812. [Google Scholar] [CrossRef]
  15. Li, S.; Cao, K. Heterogeneity of anatomical structure in giant leaves of Musa balbisiana. Chin. Sci. Bull. 2014, 59, 522–528. [Google Scholar] [CrossRef]
  16. Pandey, S.; Kumar, S.; Nagar, P.K. Photosynthetic performance of Ginkgo biloba L. grown under high and low irradiance. Photosynthetica 2003, 41, 505–511. [Google Scholar] [CrossRef]
  17. Kiyomizu, T.; Yamagishi, S.; Kume, A.; Hanba, Y.T. Contrasting photosynthetic responses to ambient air pollution between the urban shrub Rhododendronxpulchrum and urban tall tree Ginkgo biloba in Kyoto city: Stomatal and leaf mesophyll morpho-anatomies are key traits. Trees Struct. Funct. 2019, 33, 63–77. [Google Scholar] [CrossRef]
  18. Wang, S.; Wang, W.; Wang, S.; Yang, L.; Gu, J. Intraspecific variations of anatomical, morphological and chemical traits in leaves and absorptive roots along climate and soil gradients: A case study with Ginkgo biloba and Eucommia ulmoides. Plant Soil 2021, 469, 73–88. [Google Scholar] [CrossRef]
  19. Walas, L.; Mandryk, W.; Thomas, P.A.; Tyrala-Wierucka, Z.; Iszkulo, G. Sexual systems in gymnosperms: A review. Basic Appl. Ecol. 2018, 31, 1–9. [Google Scholar] [CrossRef] [Green Version]
  20. Chen, J.; Liu, Q.; Yu, L.; Korpelainen, H.; Niinemets, U.; Li, C.Y. Elevated temperature and CO2 interactively modulate sexual competition and ecophysiological responses of dioecious Populus cathayana. For. Ecol. Manag. 2021, 481, 118747. [Google Scholar] [CrossRef]
  21. Liu, J.Y.; Zhang, R.; Xu, X.; Fowler, J.C.; Miller, T.E.X.; Dong, T.F. Effect of summer warming on growth, photosynthesis and water status in female and male Populus cathayana: Implications for sex-specific drought and heat tolerances. Tree Physiol. 2020, 40, 1178–1191. [Google Scholar] [CrossRef] [PubMed]
  22. Melnikova, N.V.; Borkhert, E.V.; Snezhkina, A.V.; Kudryavtseva, A.V.; Dmitriev, A.A. Sex-specific response to stress in Populus. Front. Plant Sci. 2017, 8, 1827. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  23. Olano, J.M.; Gonzalez-Munoz, N.; Arzac, A.; Rozas, V.; von Arx, G.; Delzon, S.; Garcia-Cervigon, A.I. Sex determines xylem anatomy in a dioecious conifer: Hydraulic consequences in a drier world. Tree Physiol. 2017, 37, 1493–1502. [Google Scholar] [CrossRef] [Green Version]
  24. Zhao, H.X.; Li, Y.P.; Zhang, X.L.; Korpelainen, H.; Li, C.Y. Sex-related and stage-dependent source-to-sink transition in Populus cathayana grown at elevated CO2 and elevated temperature. Tree Physiol. 2012, 32, 1325–1338. [Google Scholar] [CrossRef] [Green Version]
  25. Chen, F.G.; Shen, J.; Min, D.; Ke, L.X.; Tian, X.; Korpelainen, H.; Li, C.Y. Male Populus cathayana than female shows higher photosynthesis and less cellular injury through ABA-induced manganese transporting inhibition under high manganese condition. Trees Struct. Funct. 2018, 32, 255–263. [Google Scholar] [CrossRef] [Green Version]
  26. Li, Z.; Wu, N.; Liu, T.; Tang, M.; Chen, H. Gender-related responses of dioecious plant Populus cathayana to AMF, drought and planting pattern. Sci. Rep. 2020, 10, 11530. [Google Scholar] [CrossRef]
  27. Zhao, H.Y.; Liang, H.Y.; Chu, Y.B.; Sun, C.C.; Wei, N.; Yang, M.N.; Zheng, C.X. Effects of salt stress on chlorophyll fluorescence and the antioxidant system in Ginkgo biloba L. Seedlings. Hortscience 2019, 54, 2125–2133. [Google Scholar] [CrossRef] [Green Version]
  28. Chang, B.; Ma, K.B.; Lu, Z.G.; Lu, J.K.; Cui, J.W.; Wang, L.; Jin, B. Physiological, transcriptomic, and metabolic responses of Ginkgo biloba L. to drought, salt, and heat stresses. Biomolecules 2020, 10, 1653. [Google Scholar] [CrossRef]
  29. Wang, X.M.; Wang, X.K.; Su, Y.B.; Zhang, H.X. Land pavement depresses photosynthesis in urban trees especially under drought stress. Sci. Total Environ. 2019, 653, 120–130. [Google Scholar] [CrossRef]
  30. He, M.; Shi, D.; Wei, X.; Hu, Y.; Wang, T.; Xie, Y. Gender-related differences in adaptability to drought stress in the dioecious tree Ginkgo biloba. Acta Physiol. Plant. 2016, 38, 124. [Google Scholar] [CrossRef]
  31. Wang, X.; Du, T.; Huang, J.; Peng, S.; Xiong, D. Leaf hydraulic vulnerability triggers the decline in stomatal and mesophyll conductance during drought in rice. J. Exp. Bot. 2018, 69, 4033–4045. [Google Scholar] [CrossRef] [PubMed]
  32. Brodribb, T.J.; Skelton, R.P.; McAdam, S.A.M.; Bienaime, D.; Lucani, C.J.; Marmottant, P. Visual quantification of embolism reveals leaf vulnerability to hydraulic failure. New Phytol. 2016, 209, 1403–1409. [Google Scholar] [CrossRef] [PubMed]
  33. Duursma, R.; Choat, B. Fitplc—An R package to fit hydraulic vulnerability curves. J. Plant Hydraul. 2017, 4, 002. [Google Scholar] [CrossRef]
  34. Li, S.; Hamani, A.K.M.; Zhang, Y.Y.; Liang, Y.P.; Gao, Y.; Duan, A.W. Coordination of leaf hydraulic, anatomical, and economical traits in tomato seedlings acclimation to long-term drought. BMC Plant Biol. 2021, 21, 536. [Google Scholar] [CrossRef]
  35. Brodribb, T.J.; Cochard, H. Hydraulic failure defines the recovery and point of death in water-stressed conifers. Plant Physiol. 2009, 149, 575–584. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  36. Blackman, C.J.; Brodribb, T.J.; Jordan, G.J. Leaf hydraulic vulnerability is related to conduit dimensions and drought resistance across a diverse range of woody angiosperms. New Phytol. 2010, 188, 1113–1123. [Google Scholar] [CrossRef]
  37. Sack, L.; Scoffoni, C. Leaf venation: Structure, function, development, evolution, ecology and applications in the past, present and future. New Phytol. 2013, 198, 983–1000. [Google Scholar] [CrossRef]
  38. Fonseca, C.R.; Overton, J.M.; Collins, B.; Westoby, M. Shifts in trait-combinations along rainfall and phosphorus gradients. J. Ecol. 2000, 88, 964–977. [Google Scholar] [CrossRef]
  39. Shipley, B.; Vu, T.T. Dry matter content as a measure of dry matter concentration in plants and their parts. New Phytol. 2002, 153, 359–364. [Google Scholar] [CrossRef]
  40. Zheng, Y.; Wang, A.; Su, L.; Guo, J.; Duan, C.; Ying, X.; Gong, X.; Hao, G. Hydraulics and non-structural carbohydrate contents of Ginkgo biloba under different environmental conditions in Shenyang City, China. Chin. J. Appl. Ecol. 2022, 33, 711–719. [Google Scholar] [CrossRef]
  41. Anderegg, W.R.L. Spatial and temporal variation in plant hydraulic traits and their relevance for climate change impacts on vegetation. New Phytol. 2015, 205, 1008–1014. [Google Scholar] [CrossRef] [PubMed]
  42. Nardini, A.; Salleo, S. Water stress-induced modifications of leaf hydraulic architecture in sunflower: Co-ordination with gas exchange. J. Exp. Bot. 2005, 56, 3093–3101. [Google Scholar] [CrossRef]
  43. Sack, L.; Frole, K. Leaf structural diversity is related to hydraulic capacity in tropical rain forest trees. Ecology 2006, 87, 483–491. [Google Scholar] [CrossRef]
  44. Xiong, D.; Yu, T.; Zhang, T.; Li, Y.; Peng, S.; Huang, J. Leaf hydraulic conductance is coordinated with leaf morpho-anatomical traits and nitrogen status in the genus Oryza. J. Exp. Bot. 2015, 66, 741–748. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  45. Xia, Z.C.; He, Y.; Zhou, B.; Korpelainen, H.; Li, C.Y. Sex-related responses in rhizosphere processes of dioecious Populus cathayana exposed to drought and low phosphorus stress. Environ. Exp. Bot. 2020, 175, 104049. [Google Scholar] [CrossRef]
  46. Yu, L.; Huang, Z.D.; Tang, S.L.; Korpelainen, H.; Li, C.Y. Populus euphratica males exhibit stronger drought and salt stress resistance than females. Environ. Exp. Bot. 2023, 205, 105114. [Google Scholar] [CrossRef]
  47. Correia, O.; Barradas, M.C.D. Ecophysiological differences between male and female plants of Pistacia lentiscus L. Plant Ecol. 2000, 149, 131–142. [Google Scholar] [CrossRef]
  48. Jin, J.; Jiang, H.; Yu, S.; Zhou, G. Sex-linked photosynthetic physiologic research and the evolutionary ecological analysis in relict plant, Ginkgo biloba L. Acta Ecol. Sin. 2008, 28, 1128–1136. [Google Scholar]
  49. Shi, D.W.; Wei, X.D.; Chen, G.X.; Xu, Y.L. Changes in Changes in photosynthetic characteristics and antioxidative protection in male and female Ginkgo during natural senescence. J. Am. Soc. Hortic. Sci. 2012, 137, 349–360. [Google Scholar] [CrossRef] [Green Version]
Figure 1. The scheme of experimental design.
Figure 1. The scheme of experimental design.
Forests 14 00535 g001
Figure 2. Specific leaf area (a) and leaf dissection index (b) differences between long- and short-shoot leaves in males and females Ginkgo biloba. Values are mean ± SE (n = 4). Lowercase letters indicate significant differences between long- and short-shoot leaves of males and females at the p < 0.05 level.
Figure 2. Specific leaf area (a) and leaf dissection index (b) differences between long- and short-shoot leaves in males and females Ginkgo biloba. Values are mean ± SE (n = 4). Lowercase letters indicate significant differences between long- and short-shoot leaves of males and females at the p < 0.05 level.
Forests 14 00535 g002
Figure 3. Leaf thickness (a,b), tracheid number (c,d), and tracheid diameter (e,f) variations at different positions between long- and short-shoot leaves in Ginkgo biloba males (left panels) and females (right panels). Values are mean ± SE (n = 4). Lowercase letters in each sex indicate significant differences between long- and short-shoot leaves at the p < 0.05 level.
Figure 3. Leaf thickness (a,b), tracheid number (c,d), and tracheid diameter (e,f) variations at different positions between long- and short-shoot leaves in Ginkgo biloba males (left panels) and females (right panels). Values are mean ± SE (n = 4). Lowercase letters in each sex indicate significant differences between long- and short-shoot leaves at the p < 0.05 level.
Forests 14 00535 g003
Figure 4. Leaf stomatal density (a,b) and vein density (c,d) variations at different locations on the leaf between long- and short-shoot leaves in Ginkgo biloba males (left panels) and females (right panels). Values are mean ± SE (n = 4). Lowercase letters in each sex indicate significant differences between long- and short-shoot leaves at the p < 0.05 level.
Figure 4. Leaf stomatal density (a,b) and vein density (c,d) variations at different locations on the leaf between long- and short-shoot leaves in Ginkgo biloba males (left panels) and females (right panels). Values are mean ± SE (n = 4). Lowercase letters in each sex indicate significant differences between long- and short-shoot leaves at the p < 0.05 level.
Forests 14 00535 g004
Figure 5. Leaf net photosynthesis rate (a), instantaneous water use efficiency (b), transpiration rate (c), and stomatal conductance (d) differences between long- and short-shoot leaves in male and female Ginkgo biloba. Values are mean ± SE (n = 4). Lowercase letters indicate significant differences between long- and short-shoot leaves of males and females at the p < 0.05 level.
Figure 5. Leaf net photosynthesis rate (a), instantaneous water use efficiency (b), transpiration rate (c), and stomatal conductance (d) differences between long- and short-shoot leaves in male and female Ginkgo biloba. Values are mean ± SE (n = 4). Lowercase letters indicate significant differences between long- and short-shoot leaves of males and females at the p < 0.05 level.
Forests 14 00535 g005
Figure 6. Predawn leaf water potential (a), midday leaf water potential (b), leaf hydraulic conductance (c), and water potential of 50% loss in leaf hydraulic conductance (d) differences between long- and short-shoot leaves in male and female Ginkgo biloba. Values are mean ± SE (n = 4). Lowercase letters indicate significant differences between long- and short-shoot leaves of males and females at the p < 0.05 level.
Figure 6. Predawn leaf water potential (a), midday leaf water potential (b), leaf hydraulic conductance (c), and water potential of 50% loss in leaf hydraulic conductance (d) differences between long- and short-shoot leaves in male and female Ginkgo biloba. Values are mean ± SE (n = 4). Lowercase letters indicate significant differences between long- and short-shoot leaves of males and females at the p < 0.05 level.
Forests 14 00535 g006
Figure 7. Correlation analysis among leaf morphology and hydraulic and gas exchange traits. SD: stomatal density; LT: leaf thickness; VD: vein density; WUEi: instantaneous water use efficiency; gs: stomatal conductance; A: net photosynthesis rate; Tr: transpiration rate; SLA: specific leaf area; LDI: leaf dissection index; Kleaf: leaf hydraulic conductance; Ψmd: midday leaf water potential; Ψpd: predawn leaf water potential; P50: water potential of 50% loss in leaf hydraulic conductance; TN: average tracheid number; TD: average tracheid diameter.
Figure 7. Correlation analysis among leaf morphology and hydraulic and gas exchange traits. SD: stomatal density; LT: leaf thickness; VD: vein density; WUEi: instantaneous water use efficiency; gs: stomatal conductance; A: net photosynthesis rate; Tr: transpiration rate; SLA: specific leaf area; LDI: leaf dissection index; Kleaf: leaf hydraulic conductance; Ψmd: midday leaf water potential; Ψpd: predawn leaf water potential; P50: water potential of 50% loss in leaf hydraulic conductance; TN: average tracheid number; TD: average tracheid diameter.
Forests 14 00535 g007
Disclaimer/Publisher’s Note: The statements, opinions and data contained in all publications are solely those of the individual author(s) and contributor(s) and not of MDPI and/or the editor(s). MDPI and/or the editor(s) disclaim responsibility for any injury to people or property resulting from any ideas, methods, instructions or products referred to in the content.

Share and Cite

MDPI and ACS Style

Liu, H.; Zhang, C.; Meng, Y.; Zhang, F.; Huang, N.; Wang, J.; Li, Y. Hydraulic and Economical Traits in Short- and Long-Shoot Leaves of Ginkgo biloba Males and Females. Forests 2023, 14, 535. https://doi.org/10.3390/f14030535

AMA Style

Liu H, Zhang C, Meng Y, Zhang F, Huang N, Wang J, Li Y. Hydraulic and Economical Traits in Short- and Long-Shoot Leaves of Ginkgo biloba Males and Females. Forests. 2023; 14(3):535. https://doi.org/10.3390/f14030535

Chicago/Turabian Style

Liu, Huihui, Cheng Zhang, Yanqiong Meng, Fengyu Zhang, Nuo Huang, Jianan Wang, and Yiyong Li. 2023. "Hydraulic and Economical Traits in Short- and Long-Shoot Leaves of Ginkgo biloba Males and Females" Forests 14, no. 3: 535. https://doi.org/10.3390/f14030535

APA Style

Liu, H., Zhang, C., Meng, Y., Zhang, F., Huang, N., Wang, J., & Li, Y. (2023). Hydraulic and Economical Traits in Short- and Long-Shoot Leaves of Ginkgo biloba Males and Females. Forests, 14(3), 535. https://doi.org/10.3390/f14030535

Note that from the first issue of 2016, this journal uses article numbers instead of page numbers. See further details here.

Article Metrics

Back to TopTop