Abstract

The evolution of xylem vessels from tracheids is put forward as a key innovation that boosted hydraulic conductivity and photosynthetic capacities in angiosperms. Yet, the role of xylem anatomy and interconduit pits in hydraulic performance across vesselless and vessel-bearing angiosperms is incompletely known, and there is a lack of functional comparisons of ultrastructural pits between species with different conduit types. We assessed xylem hydraulic conductivity and vulnerability to drought-induced embolism in 12 rain forest species from New Caledonia, including five vesselless species, and seven vessel-bearing species with scalariform perforation plates. We measured xylem conduit traits, along with ultrastructural features of the interconduit pits, to assess the relationships between conduit traits and hydraulic efficiency and safety. In spite of major differences in conduit diameter, conduit density, and the presence/absence of perforation plates, the species studied showed similar hydraulic conductivity and vulnerability to drought-induced embolism, indicating functional similarity between both types of conduits. Interconduit pit membrane thickness (Tm) was the only measured anatomical feature that showed a relationship to significant vulnerability to embolism. Our results suggest that the incidence of drought in rain forest ecosystems can have similar effects on species bearing water-conducting cells with different morphologies.

Introduction

Along with other relevant functions such as mechanical support and storage of photosynthates, the major function of wood tissue is to transport water from the soil to the transpiring leaves (Badel et al., 2015). Xylem conduits (i.e. tracheary elements) comprise the water-conducting cells enabling long-distance water transport in vascular plants. Structurally, xylem conduits can be divided into two types: (i) tracheids, which are single-celled water-conducting units with densely pitted lateral walls and without perforations; and (ii) vessels, which are multiple-celled conduits forming long hollow tubes comprised of single-celled vessel elements that are axially connected by their perforation plates (Sperry, 2003). The evolution of vessels from tracheids has been traditionally considered a major functional transition that happened several times in land plant evolution (Bailey and Tupper, 1918), although intermediate conduit types with various degrees of pit membrane remnants in perforation plates also exist (Carlquist, 1992; Carlquist and Schneider, 2002a). Vessels have enabled plants to develop a more efficient hydraulic pipeline compared with vesselless species, allowing higher leaf vein densities and increased photosynthetic capacities in vessel-bearing species and thereby offering greater competitive advantage over vesselless species (Bailey, 1944; Brodribb and Feild, 2000, 2010; Feild and Wilson, 2012; Feild and Brodribb, 2013).

Vessellessness is a rare feature in angiosperms since it is restricted to only a few clades such as Acorales, Amborellales, Nymphaeales, Trochodendrales, and Winteraceae (Spicer and Groover, 2010; Olson, 2014). Because of their structurally driven low transpiration rates, most vesselless angiosperms and angiosperms with vessel elements having densely barred scalariform perforation plates have probably occupied mesic habitats since their origin (Feild et al., 2003, 2004). For instance, the New Caledonian vesselless shrub Amborella trichopoda, which is sister to all other extant angiosperms, is mainly found in the moist understorey of rain forest environments with closed canopies and presents the architectural characteristics of a shade-adapted plant (Feild and Arens, 2007; Trueba et al., 2016). The environmental preferences of vesselless angiosperms suggest a low adaptation to drought stress, which probably has restricted these species to humid environments. Vessel elements with oblique scalariform perforation plates bearing many bars can be considered morphologically as intermediate between tracheids and vessel elements with simple perforation plates (Carlquist and Schneider, 2002a). Despite being derived from a tracheid-based xylem, vessel-bearing species with perforation plates including many closely spaced bars are hypothesized to have a similar, rather inefficient, hydraulic performance compared with vesselless angiosperms due to the high flow resistance exerted by their scalariform perforation plates (Christman and Sperry, 2010; Hudson et al., 2010; Feild et al., 2011). Moreover, it has been shown that pit membrane remnants are usually present in these types of scalariform perforations (Carlquist, 1992; Carlquist and Schneider, 2002a, b), which further impedes hydraulic performance (Feild and Wilson, 2012). Little is known about the xylem anatomical features associated with the hydraulic performance of these species, although a recent study has shown that hydraulic vulnerability is a major driver of rain forest habitat occupation in vesselless and vessel-bearing New Caledonian angiosperms (Trueba et al., 2017).

Anatomical features such as conduit diameter and density have a direct effect on the efficiency and safety of water conductivity (Pittermann and Sperry, 2003; Loepfe et al., 2007; Zanne et al., 2010; Gleason et al., 2016b). For instance, wide conduits reduce resistance to flow, and thus increase hydraulic efficiency (Hacke et al., 2006, 2017). Yet, it has been proposed that vesselless angiosperms do not show a significant increase in flow conductivity with increasing conduit diameter (Hacke et al., 2007). Because hydraulic conductivity efficiency is proportional to the sum of the conduit diameters to the fourth power according to Poiseuille’s law (Tyree and Zimmermann, 2002), it is possible to estimate theoretical hydraulic conductivity using anatomical variables. However, no study to date has carried out a comparison of theoretical and native hydraulic conductivity across vesselless and vessel-bearing angiosperms with scalariform perforation plates. Along with transport efficiency, hydraulic safety is also an important feature that is influenced by wood anatomical features (Lens et al., 2011; Li et al., 2016). Safety in water transport reflects the ability of plants to cope with high xylem tensions within the conduits, which could lead to a partial air-filled blockage of the water transport pathway due to drought-induced embolism formation. In theory, after embolism occurrence, species with wider and less numerous conduits should be more affected because greater conductive surfaces are impacted. In addition to conduit diameter and density, the ratio between the thickness (t) of two adjacent conduit walls and the conduit lumen diameter (b) has been proposed to relate to xylem embolism resistance by providing a mechanical reinforcement of conduit walls acting as a safety factor from potential implosion by negative pressure (Hacke et al., 2001; Jacobsen et al., 2005). As an example, tracheid wall thickness has been shown to be an important functional trait in the earlywood of conifers (Rosner et al., 2018), as well as the thickness-to-diameter ratio in the leaf vasculature (Jordan et al., 2013).

Since both tracheids and vessels are limited in length, and are always much shorter than the size of the entire plant, both tracheids and vessels have bordered interconduit pits in their lateral walls through which water can be laterally transported from one conduit to an adjacent conduit (Sano et al., 2011; Lens et al., 2013). Fine-scale features of these interconduit pits, especially those related to the pit membrane, have been demonstrated to play a major role in avoiding air bubble propagation throughout the 3D conduit network and thereby contributing to embolism resistance in angiosperms, gymnosperms, and pteridophytes (Choat et al., 2008; Delzon et al., 2010; Pittermann et al., 2010; Lens et al., 2011; Brodersen et al., 2014; Schenk et al., 2015; Li et al., 2016). Bordered pit features conferring embolism resistance have been analyzed in conifer tracheids, showing the main role of the overlap between torus and pit aperture (Delzon et al., 2010; Bouche et al., 2014). However, tracheids in vesselless angiosperms have homogenous pit membranes that are devoid of the torus–margo structure. The thickness of the pit membrane (Tm) has been suggested to be a major determinant of embolism resistance in angiosperm vessels (Lens et al., 2011; Li et al., 2016; Dória et al., 2018). Thicker Tm increases the tortuous path length that air needs to cross before reaching an adjacent water-filled conduit, therefore impeding air-seeding between adjacent conduits, and this mechanism could explain the direct functional link between Tm and embolism resistance (Jansen et al., 2009; Lens et al., 2013; Li et al., 2016). Given that air bubble expansion occurs immediately after air entry through a pit membrane, the most likely space for air bubble expansion is within the limits of the pit borders (Schenk et al., 2015). Accordingly, pit chamber depth (Lp), which is the distance between the roof of the pit border and the position of the relaxed pit membrane, has also been suggested as being related to embolism resistance in angiosperm vessels (Lens et al., 2011).

A recent study analyzed the relationship between the xylem pressure inducing 50% loss of xylem hydraulic conductivity (P50) and the intertracheid pit structure in six vesselless angiosperm species, showing a lack of correlation between P50 and Tm (Zhang et al., 2017). Yet, the study of Zhang et al. (2017) used P50 values collected from the literature, and did not include anatomical measurements from the same individuals for which the hydraulic data were generated. Here, we assess these structure–function correlations using data from the same individuals, and we include vesselless and vessel-bearing species with scalariform perforation plates inhabiting a similar rain forest ecosystem. Moreover, with the exception of Amborella trichopoda, we investigate species that have not been included in previous studies.

In this study, we analyze xylem hydraulic efficiency versus safety along with stem anatomical features (Table 1), with a special focus on fine-scale observations of interconduit pits in vesselless and vessel-bearing species native to the New Caledonian rain forests. We aim to test the hypotheses that: (i) vessel-bearing species with scalariform perforation plates show hydraulic conductivity and vulnerability to embolism similar to vesselless species occurring in the same environment; (ii) the diameter, density, and wall structure of xylem conduits are associated with xylem hydraulics, with species which have wider conduits with proportionally thinner walls being hydraulically more efficient but also more vulnerable; and (iii) ultrastructural variation in the thickness of interconduit pits of both vesselless and vessel-bearing species is functionally linked with vulnerability to embolism. Analyzing vesselless and vessel-bearing species with putative ancestral features such as scalariform perforation plates helps our understanding of the early stages of the hydraulic evolution in flowering plants. Finally, we provide meaningful information regarding the mechanisms that confer drought tolerance in a unique tropical island ecosystem that can be threatened by deficits in rainfall regimes.

Table 1.

Abbreviations and definitions of xylem anatomical and hydraulic variables measured, with reference to their units

AbbreviationDefinitionUnits employed
CDXylem conduit density per unit sapwood arean mm−2
DHHydraulically weighted mean conduit diameterµm
DmHorizontal pit membrane diameterµm
DpaHorizontal pit aperture diameterµm
KsMeasured stem hydraulic conductivitykg m−1 MPa−1 s−1
KthTheoretical xylem specific hydraulic conductivitykg m−1 MPa−1 s−1
LpDepth of pit chamber from relaxed pit membrane to inner edge of pit aperturenm
P12Water potential at 12% loss of stem hydraulic conductivityMPa
P50Water potential at 50% loss of stem hydraulic conductivityMPa
S50Slope of the vulnerability curve at P50% MPa−1
TwDouble thickness of two adjacent conduitsµm
TmThickness of the interconduit pit membrane nm
(t/b)2Xylem conduit wall reinforcementNo unit
AbbreviationDefinitionUnits employed
CDXylem conduit density per unit sapwood arean mm−2
DHHydraulically weighted mean conduit diameterµm
DmHorizontal pit membrane diameterµm
DpaHorizontal pit aperture diameterµm
KsMeasured stem hydraulic conductivitykg m−1 MPa−1 s−1
KthTheoretical xylem specific hydraulic conductivitykg m−1 MPa−1 s−1
LpDepth of pit chamber from relaxed pit membrane to inner edge of pit aperturenm
P12Water potential at 12% loss of stem hydraulic conductivityMPa
P50Water potential at 50% loss of stem hydraulic conductivityMPa
S50Slope of the vulnerability curve at P50% MPa−1
TwDouble thickness of two adjacent conduitsµm
TmThickness of the interconduit pit membrane nm
(t/b)2Xylem conduit wall reinforcementNo unit
Table 1.

Abbreviations and definitions of xylem anatomical and hydraulic variables measured, with reference to their units

AbbreviationDefinitionUnits employed
CDXylem conduit density per unit sapwood arean mm−2
DHHydraulically weighted mean conduit diameterµm
DmHorizontal pit membrane diameterµm
DpaHorizontal pit aperture diameterµm
KsMeasured stem hydraulic conductivitykg m−1 MPa−1 s−1
KthTheoretical xylem specific hydraulic conductivitykg m−1 MPa−1 s−1
LpDepth of pit chamber from relaxed pit membrane to inner edge of pit aperturenm
P12Water potential at 12% loss of stem hydraulic conductivityMPa
P50Water potential at 50% loss of stem hydraulic conductivityMPa
S50Slope of the vulnerability curve at P50% MPa−1
TwDouble thickness of two adjacent conduitsµm
TmThickness of the interconduit pit membrane nm
(t/b)2Xylem conduit wall reinforcementNo unit
AbbreviationDefinitionUnits employed
CDXylem conduit density per unit sapwood arean mm−2
DHHydraulically weighted mean conduit diameterµm
DmHorizontal pit membrane diameterµm
DpaHorizontal pit aperture diameterµm
KsMeasured stem hydraulic conductivitykg m−1 MPa−1 s−1
KthTheoretical xylem specific hydraulic conductivitykg m−1 MPa−1 s−1
LpDepth of pit chamber from relaxed pit membrane to inner edge of pit aperturenm
P12Water potential at 12% loss of stem hydraulic conductivityMPa
P50Water potential at 50% loss of stem hydraulic conductivityMPa
S50Slope of the vulnerability curve at P50% MPa−1
TwDouble thickness of two adjacent conduitsµm
TmThickness of the interconduit pit membrane nm
(t/b)2Xylem conduit wall reinforcementNo unit

Materials and methods

Plant material and sampling

Twelve woody species endemic to New Caledonia were studied (Table 2). All studied species are evergreen and have diffuse-porous wood without growth ring boundaries. Among the studied species, seven are vessel bearing and have vessel elements with long and obliquely oriented scalariform perforation plates (Table 2). Vessel-bearing species belong to the families Atherospermataceae, Chloranthaceae, Monimiaceae, and Paracryphiaceae. The five studied vesselless species belong to the Amborellaceae and the Winteraceae, which are the only families of vesselless angiosperms present in the New Caledonian archipelago. The woody growth forms of the sampled species vary from shrubs such as Amborella trichopoda and Ascarina rubricaulis, to trees such as Nemuaron viellardii and Hedycarya parvifolia. All studied species are present in rain forest ecosystems. However, they differ in their percentage of rain forest occupancy (Pouteau et al., 2015). Fifteen terminal and sun-exposed branches per species were collected at pre-dawn from three individuals. Branches were defoliated, wrapped in moist paper towels with ultrapure water, and sealed in dark plastic bags during transport.

Table 2.

Origin of species studied in New Caledonia, along with the phylogenetic placement at the family level, and the anatomical and hydraulic observations

SpeciesFamilyLocalityConduitKsKthP12P50S50CDDHLpTwTm(t/b)2
Amborella trichopodaAmborellaceaeMt. AoupiniéT0.4377.74–2.17–2.681051229 4922.53±0.79919±235.39±0.16273±130.09±0.010
Ascarina rubricaulisChloranthaceaeMt. DzumacV, Sc0.89024.12–1.59–2.2871237±2145.17±1.491156±416.88±0.21260±130.04±0.005
Hedycarya cupulataMonimiaceaeMt. AoupiniéV, Sc0.1046.83–1.39–3.0924173±1535.64±1.37988±375.41±0.26348±70.05±0.009
Hedycarya parvifoliaMonimiaceaeMt. AoupiniéV, Sc0.23312.36–2.39–3.2360148±1839.03±1.481246±909.07±0.35388±260.04±0.004
Kibaropsis caledonicaMonimiaceaeMt. AoupiniéV, Sc0.25712.08–1.55–2.4950236±1138.04±1.021005±537.43±0.15268±150.05±0.004
Nemuaron viellardiiAtherospermataceaeMt. DzumacV, Sc0.79123.03–1.43–2.3054307±1941.85±1.42915±586.96±0.41202±80.06±0.012
Paracryphia alticolaParacryphiaceaeMt. HumboldtV, Sc0.1612.73–0.77–2.0230136±1030.09±0.71694±425.69±0.20169±80.04±0.003
Quintinia majorParacryphiaceaeMt. HumboldtV, Sc0.1356.91–1.08–2.4729180±935.39±0.55855±737.79±0.83229±90.08±0.025
Zygogynum acsmithiiWinteraceaeWadjana, YatéT0.56611.53–2.39–2.731621211±4824.98±0.821031±209.78±0.32253±60.23±0.021
Zygogynum crassifoliumWinteraceaePic du Pin, YatéT0.6153.87–3.50–4.11891037±2419.77±0.501259±7713.25±0.31274±160.55±0.040
Zygogynum stipitatumWinteraceaeWadjana, YatéT0.3255.53–1.80–2.44781121±5921.19±0.74921±369.79±0.26215±60.36±0.042
Zygogynum thieghemiiWinteraceaeMt. HumboldtT0.6587.62–1.62–2.2975862±3624.52±0.791289±9113.59±0.37276±170.46±0.039
SpeciesFamilyLocalityConduitKsKthP12P50S50CDDHLpTwTm(t/b)2
Amborella trichopodaAmborellaceaeMt. AoupiniéT0.4377.74–2.17–2.681051229 4922.53±0.79919±235.39±0.16273±130.09±0.010
Ascarina rubricaulisChloranthaceaeMt. DzumacV, Sc0.89024.12–1.59–2.2871237±2145.17±1.491156±416.88±0.21260±130.04±0.005
Hedycarya cupulataMonimiaceaeMt. AoupiniéV, Sc0.1046.83–1.39–3.0924173±1535.64±1.37988±375.41±0.26348±70.05±0.009
Hedycarya parvifoliaMonimiaceaeMt. AoupiniéV, Sc0.23312.36–2.39–3.2360148±1839.03±1.481246±909.07±0.35388±260.04±0.004
Kibaropsis caledonicaMonimiaceaeMt. AoupiniéV, Sc0.25712.08–1.55–2.4950236±1138.04±1.021005±537.43±0.15268±150.05±0.004
Nemuaron viellardiiAtherospermataceaeMt. DzumacV, Sc0.79123.03–1.43–2.3054307±1941.85±1.42915±586.96±0.41202±80.06±0.012
Paracryphia alticolaParacryphiaceaeMt. HumboldtV, Sc0.1612.73–0.77–2.0230136±1030.09±0.71694±425.69±0.20169±80.04±0.003
Quintinia majorParacryphiaceaeMt. HumboldtV, Sc0.1356.91–1.08–2.4729180±935.39±0.55855±737.79±0.83229±90.08±0.025
Zygogynum acsmithiiWinteraceaeWadjana, YatéT0.56611.53–2.39–2.731621211±4824.98±0.821031±209.78±0.32253±60.23±0.021
Zygogynum crassifoliumWinteraceaePic du Pin, YatéT0.6153.87–3.50–4.11891037±2419.77±0.501259±7713.25±0.31274±160.55±0.040
Zygogynum stipitatumWinteraceaeWadjana, YatéT0.3255.53–1.80–2.44781121±5921.19±0.74921±369.79±0.26215±60.36±0.042
Zygogynum thieghemiiWinteraceaeMt. HumboldtT0.6587.62–1.62–2.2975862±3624.52±0.791289±9113.59±0.37276±170.46±0.039

Values are means ±SE. The main conductive elements in xylem are indicated as ‘T’=tracheids in vesselless species; ‘V Sc’=vessels with scalariform perforation plates in vessel-bearing species. See Table 1 for a description of abbreviations and units of measurements.

Table 2.

Origin of species studied in New Caledonia, along with the phylogenetic placement at the family level, and the anatomical and hydraulic observations

SpeciesFamilyLocalityConduitKsKthP12P50S50CDDHLpTwTm(t/b)2
Amborella trichopodaAmborellaceaeMt. AoupiniéT0.4377.74–2.17–2.681051229 4922.53±0.79919±235.39±0.16273±130.09±0.010
Ascarina rubricaulisChloranthaceaeMt. DzumacV, Sc0.89024.12–1.59–2.2871237±2145.17±1.491156±416.88±0.21260±130.04±0.005
Hedycarya cupulataMonimiaceaeMt. AoupiniéV, Sc0.1046.83–1.39–3.0924173±1535.64±1.37988±375.41±0.26348±70.05±0.009
Hedycarya parvifoliaMonimiaceaeMt. AoupiniéV, Sc0.23312.36–2.39–3.2360148±1839.03±1.481246±909.07±0.35388±260.04±0.004
Kibaropsis caledonicaMonimiaceaeMt. AoupiniéV, Sc0.25712.08–1.55–2.4950236±1138.04±1.021005±537.43±0.15268±150.05±0.004
Nemuaron viellardiiAtherospermataceaeMt. DzumacV, Sc0.79123.03–1.43–2.3054307±1941.85±1.42915±586.96±0.41202±80.06±0.012
Paracryphia alticolaParacryphiaceaeMt. HumboldtV, Sc0.1612.73–0.77–2.0230136±1030.09±0.71694±425.69±0.20169±80.04±0.003
Quintinia majorParacryphiaceaeMt. HumboldtV, Sc0.1356.91–1.08–2.4729180±935.39±0.55855±737.79±0.83229±90.08±0.025
Zygogynum acsmithiiWinteraceaeWadjana, YatéT0.56611.53–2.39–2.731621211±4824.98±0.821031±209.78±0.32253±60.23±0.021
Zygogynum crassifoliumWinteraceaePic du Pin, YatéT0.6153.87–3.50–4.11891037±2419.77±0.501259±7713.25±0.31274±160.55±0.040
Zygogynum stipitatumWinteraceaeWadjana, YatéT0.3255.53–1.80–2.44781121±5921.19±0.74921±369.79±0.26215±60.36±0.042
Zygogynum thieghemiiWinteraceaeMt. HumboldtT0.6587.62–1.62–2.2975862±3624.52±0.791289±9113.59±0.37276±170.46±0.039
SpeciesFamilyLocalityConduitKsKthP12P50S50CDDHLpTwTm(t/b)2
Amborella trichopodaAmborellaceaeMt. AoupiniéT0.4377.74–2.17–2.681051229 4922.53±0.79919±235.39±0.16273±130.09±0.010
Ascarina rubricaulisChloranthaceaeMt. DzumacV, Sc0.89024.12–1.59–2.2871237±2145.17±1.491156±416.88±0.21260±130.04±0.005
Hedycarya cupulataMonimiaceaeMt. AoupiniéV, Sc0.1046.83–1.39–3.0924173±1535.64±1.37988±375.41±0.26348±70.05±0.009
Hedycarya parvifoliaMonimiaceaeMt. AoupiniéV, Sc0.23312.36–2.39–3.2360148±1839.03±1.481246±909.07±0.35388±260.04±0.004
Kibaropsis caledonicaMonimiaceaeMt. AoupiniéV, Sc0.25712.08–1.55–2.4950236±1138.04±1.021005±537.43±0.15268±150.05±0.004
Nemuaron viellardiiAtherospermataceaeMt. DzumacV, Sc0.79123.03–1.43–2.3054307±1941.85±1.42915±586.96±0.41202±80.06±0.012
Paracryphia alticolaParacryphiaceaeMt. HumboldtV, Sc0.1612.73–0.77–2.0230136±1030.09±0.71694±425.69±0.20169±80.04±0.003
Quintinia majorParacryphiaceaeMt. HumboldtV, Sc0.1356.91–1.08–2.4729180±935.39±0.55855±737.79±0.83229±90.08±0.025
Zygogynum acsmithiiWinteraceaeWadjana, YatéT0.56611.53–2.39–2.731621211±4824.98±0.821031±209.78±0.32253±60.23±0.021
Zygogynum crassifoliumWinteraceaePic du Pin, YatéT0.6153.87–3.50–4.11891037±2419.77±0.501259±7713.25±0.31274±160.55±0.040
Zygogynum stipitatumWinteraceaeWadjana, YatéT0.3255.53–1.80–2.44781121±5921.19±0.74921±369.79±0.26215±60.36±0.042
Zygogynum thieghemiiWinteraceaeMt. HumboldtT0.6587.62–1.62–2.2975862±3624.52±0.791289±9113.59±0.37276±170.46±0.039

Values are means ±SE. The main conductive elements in xylem are indicated as ‘T’=tracheids in vesselless species; ‘V Sc’=vessels with scalariform perforation plates in vessel-bearing species. See Table 1 for a description of abbreviations and units of measurements.

Xylem hydraulic conductivity and embolism vulnerability

Hydraulic measurements of sampled branches were carried out in the plant hydraulics phenotyping platform of the BIOGECO laboratory in Pessac, France. Samples were stored at 5 °C before transportation, and measurements were done within 2 weeks after collection. We verified the absence of pathogens before performing measurements. Branches were excised under water to 27 cm segments. Both ends of the branches were debarked and clipped with a fresh razor blade. The embolism vulnerability of branch segments was then measured using the Cavitron technique (Cochard et al., 2005), which uses centrifugal forces to lower the xylem pressure while simultaneously measuring hydraulic conductivity. This allowed us to measure xylem-specific hydraulic conductivity (Ks, in kg m−1 MPa−1 s−1) using the maximum measured conductivity divided by sample length and sapwood area as averaged from both ends of the sample. Percentage losses of hydraulic conductivity for the analyzed species were obtained from a previous study (Trueba et al., 2017). The vulnerability curves included in this study were reassessed fitting the Weibull function proposed by Ogle et al. (2009), which was implemented using the R package ‘fitplrc’ (Duursma and Choat, 2017). P50, the xylem pressure inducing a 50% loss of hydraulic conductivity, and S50, the slope of the curve at P50, which relates to the speed of xylem embolism propagation, were calculated from the vulnerability curves built using the Weibull function. In addition to P50, which is the most commonly used index of embolism resistance (Choat et al., 2012), we also extracted P12. P12 is the xylem pressure inducing a 12% loss of hydraulic conductivity, which corresponds to the point of air-entry according to Domec and Gartner (2001) and Martin-StPaul et al. (2017). Mean water potentials inducing loss of stem hydraulic conductivity and their corresponding slope values were calculated from 6–11 samples per species.

Xylem conduit measurements and analyses

Wood cubes of ~10 mm2 were sampled from two branches used for the hydraulic measurements. Transverse sections 30–50 µm thick were made using a sliding microtome. After sectioning, sections were treated with sodium hypochlorite and stained with 0.1% toluidine blue aqueous solution for 5–10 min. In parallel, a mixture of safranin and alcian blue (35:65) was also used for tissue staining. Stained sections were suspended in the mounting medium Euparal (Waldeck GmbH & Co, Münster, Germany) and mounted on microscope slides for imaging. Cross-section images were obtained using a light microscope equipped with a digital camera (Leica DM5000B; Leica Microsystems, Wetzlar, Germany). Images were carried out at five random positions on the mounted wood sections. All anatomical measurements on digital images were carried out using ImageJ 1.50v (National Institutes of Health, Bethesda, MD, USA). Measurements were carried out on 25 randomly selected conduits per sample, resulting in 50 xylem conduits measured per species. We measured the inner lumen area of xylem conduits, and conduit diameter was derived from this measurement assuming a circular shape. The hydraulically weighted conduit diameter (DH), which corresponds to the mean diameter required to achieve equal conductivity with the same number of conductive elements, was calculated according to Tyree and Zimmermann (2002) using the equation:

DH=[D4N]0.25

where D is the diameter of an individual conduit and N is the number of conduits measured. Conduit density (CD, n mm−2) was estimated in four randomly selected 0.25 mm2 images per sample. CD was calculated as the outcome of the number of conduits per square millimeter. Both DH and CD were used to estimate the xylem-specific theoretical hydraulic conductivity (Kth, kg m−1 MPa−1 s−1) also known as potential conductivity (Fichot et al., 2010; Poorter et al., 2010). In spite of the potential presence of both tracheids and vessels in the xylem of some vessel-bearing species, only the vessels, which were considered as the main water-conducting cells, were considered for Kth estimations. Kth was calculated based upon the Hagen–Poiseuille law using the equation:

Kth=πρw128η×CD×DH4

Where ρw is the density of water at 20 °C (998.2 kg m−3) and η is the viscosity of water at 20 °C (1.002×10–9 MPa s–1). Measurements of the double thickness of two adjacent conduits (Tw, µm) were carried out to estimate xylem conduit wall reinforcement enabling conduit implosion resistance (Hacke et al., 2001). The index of safety from implosion by negative pressure was estimated as (t/b)2, where t is the thickness of two adjacent conduit walls and b is the conduit lumen diameter.

Xylem conduit ultrastructure and lateral pit anatomical measurements

We measured ultrastructural traits of interconduit pits using images obtained from TEM. For TEM imaging, wood samples from the fresh branches used for the Cavitron experiments were cut into ~2 mm3 blocks and fixed in Karnovsky solution containing formaldehyde and glutaraldehyde (Karnovsky, 1965). Samples were then rinsed using a 0.1 M cacodylate buffer and post-fixed with 2% osmium tetroxide for 2 h. Samples were gradually dehydrated using increasing propanol concentrations. Subsequently, samples were embedded using Epon 812n (Electron Microscopy Sciences, Hatfield, UK) and polymerized at 60 °C for 48 h. Embedded samples were sectioned into 2 µm thick transverse sections. Sections were examined to detect areas of contact between conduits (vessel–vessel or tracheid–tracheid). After trimming, these areas were re-cut into 90 nm thick transverse sections using a diamond knife. The sections were coated on copper grids using Formvar coating (Agar Scientific, Stansted, UK). TEM micrographs were made using a JEM 1400-Plus transmission electron microscope (JEOL, Tokyo, Japan). Lateral pit ultrastructural characteristics were measured following the protocols described by Scholz et al. (2013). Given that we discarded images with visually damaged pit membranes or with insufficient contrast, the number of measurements per species varied depending on the amount of quality micrographs. More than 25 observations were made for most species except H. parvifolia (17), Zygogynum crassifolium (15), and Zygogynum tieghemii (19). Pit membrane thickness (Tm, nm) was measured at one point near the center of the pit membrane. Pit chamber depth (Lp, nm) was measured as the distance from the roof of the pit border (close to the aperture) to the relaxed position of the pit membrane. Pit aperture diameter (Dpa, µm) and pit membrane diameter (Dm, µm) were also measured in TEM images. TEM imaging was done on fresh material to avoid potential thickness underestimations derived from the desiccation and alteration of pit membrane structural properties (Scholz et al., 2013; Li et al., 2016; Zhang et al., 2017). We also used SEM micrographs to observe qualitative features of xylem conduits and perforation plate morphology in radial segments. SEM micrographs were acquired using a desktop Phenom G2 Pro scanning electron microscope (Phenom-World BV, The Netherlands) with magnifications between ×1500 and ×20 000, and an acceleration voltage of 5 kV.

Statistical and phylogenetic analyses

Hydraulic and anatomical traits were assembled and averaged for each species for data analysis. For each trait, assumptions of residual homogeneity and normality were tested prior to analysis. We explored relationships between anatomical traits across species using pairwise Pearson’s correlation analyses and regression analyses. Linear regression analyses were used to determine the influence of anatomical variables on the hydraulic performance and the species vulnerability to embolism. Given that inferences about the adaptive value of correlations obtained from standard methods can be biased by the potential affinity of closely related species (Felsenstein, 1985), we analyzed trait correlations using phylogenetically independent contrast (PIC) correlations using the R package ‘ape’ (Paradis et al., 2004). We built a phylogenetic tree using as a backbone the phylogeny of seed plants available in Smith and Brown (2018), which includes a branch length calibration based on Magallón et al. (2015). Molecular data were available for nine out of the 12 studied species. We used the package ‘ape’ to trim the tree and select the species studied. The species included in the tree were A. trichopoda, A. rubricaulis, Hedycarya cupulata, H. parvifolia, Kibaropsis caledonica, Paracryphia alticola, Zygogynum acsmithii, Z. crassifolium, and Z. thieghemii (see Supplementary Fig. S1 at JXB online).

To assess the relationship between theoretical and measured hydraulic conductivity, given that this relationship holds between two ‘dependent’ variables, we fitted a standardized major axis (SMA) regression using the R package ‘smatr’ (Warton et al., 2012). Additionally, we employed one-way ANOVAs to assess trait variability across species. To explore the effect of lateral pit aperture ultrastructure on embolism resistance, we analyzed a possible joint effect of Lp and Tm, two traits that have been reported as having an important role on embolism resistance (Lens et al., 2011), on embolism resistance thresholds (P12 and P50). We performed multiple regression analyses, and the strength of the contribution of each ultrastructural trait to embolism resistance was evaluated using semi-partial correlations. Xylem hydraulic and anatomical traits of vesselless and vessel-bearing angiosperms were compared using independent-samples t-tests. All the analyses were considered significant at P≤0.05. All statistical analyses were performed using R v.3.4.1 (R Core Team, 2017).

Results

Xylem conduit density, diameter, and wall thickness

Vesselless and vessel-bearing species differed significantly in DH and CD (Fig. 1; Table 3). DH ranged from 19.77±0.5 µm (mean ±SE) in the tracheid-bearing Zygogynum crassifolium, to 45.17±1.49 µm in the vessel-bearing Ascarinia rubricaulis (Table 2). Average tracheid DH across vesselless species was 22.60±0.98 µm, and average vessel DH across vessel-bearing species was 38.45±1.98 µm. CD varied widely across species [F(11)=199; P≤0.001]. CD ranged from 136±10 conduits mm–2 to 1229±49 conduits mm–2, measured in P. alticola and A. trichopoda, respectively. Xylem conduit wall reinforcement, (t/b)2 presented significant variation both across species [F(11)=66.79; P≤0.001] and across conduit types (Table 3). Vesselless species showed significantly higher (t/b)2 than vessel-bearing species (Fig. 2a; Table 3). The highest wall reinforcement was observed in vesselless species such as Z. thieghemii and Z. crassifolium, with (t/b)2 values of 0.46±0.039 and 0.55±0.040, respectively. Average Tw of vesselless species was 10.36±1.48 µm, and average Tw of vessel-bearing species was 7.03±0.47 µm. Tw varied widely across species [F(11)=73.34; P≤0.001]. However, there were no significant differences in Tw between vascular types.

Table 3.

Differences in anatomical and hydraulic trait values between vesselless angiosperms (n=5) and vessel-bearing species with scalariform perforation plates (n=7)

TraitMean vessellessMean vessel-bearingtdfP
CD109220212.574.94<0.001
DH22.6038.45–7.178.55<0.001
Dm8.819.07–0.259.510.8061
Dpa1.743.01–1.936.540.0973
Ks0.520.371.108.520.2998
Kth7.2612.58–1.587.890.1527
Lp10849800.988.920.3545
P12–2.30–1.462.216.600.0652
P50–2.85–2.550.816.100.4478
S50102453.275.47<0.05
Tw10.367.032.134.810.0880
Tm258266–0.267.740.8041
(t/b)20.3380.0493.524.03<0.05
TraitMean vessellessMean vessel-bearingtdfP
CD109220212.574.94<0.001
DH22.6038.45–7.178.55<0.001
Dm8.819.07–0.259.510.8061
Dpa1.743.01–1.936.540.0973
Ks0.520.371.108.520.2998
Kth7.2612.58–1.587.890.1527
Lp10849800.988.920.3545
P12–2.30–1.462.216.600.0652
P50–2.85–2.550.816.100.4478
S50102453.275.47<0.05
Tw10.367.032.134.810.0880
Tm258266–0.267.740.8041
(t/b)20.3380.0493.524.03<0.05

Mean trait values for each vascular type, list of statistics (t), degrees of freedom (df), and significance values (P) of independent t-tests are provided. Graphical comparisons of focal traits are provided in Fig. 2. Significant correlations are shown in bold. See Table 1 for a list of abbreviations and units.

Table 3.

Differences in anatomical and hydraulic trait values between vesselless angiosperms (n=5) and vessel-bearing species with scalariform perforation plates (n=7)

TraitMean vessellessMean vessel-bearingtdfP
CD109220212.574.94<0.001
DH22.6038.45–7.178.55<0.001
Dm8.819.07–0.259.510.8061
Dpa1.743.01–1.936.540.0973
Ks0.520.371.108.520.2998
Kth7.2612.58–1.587.890.1527
Lp10849800.988.920.3545
P12–2.30–1.462.216.600.0652
P50–2.85–2.550.816.100.4478
S50102453.275.47<0.05
Tw10.367.032.134.810.0880
Tm258266–0.267.740.8041
(t/b)20.3380.0493.524.03<0.05
TraitMean vessellessMean vessel-bearingtdfP
CD109220212.574.94<0.001
DH22.6038.45–7.178.55<0.001
Dm8.819.07–0.259.510.8061
Dpa1.743.01–1.936.540.0973
Ks0.520.371.108.520.2998
Kth7.2612.58–1.587.890.1527
Lp10849800.988.920.3545
P12–2.30–1.462.216.600.0652
P50–2.85–2.550.816.100.4478
S50102453.275.47<0.05
Tw10.367.032.134.810.0880
Tm258266–0.267.740.8041
(t/b)20.3380.0493.524.03<0.05

Mean trait values for each vascular type, list of statistics (t), degrees of freedom (df), and significance values (P) of independent t-tests are provided. Graphical comparisons of focal traits are provided in Fig. 2. Significant correlations are shown in bold. See Table 1 for a list of abbreviations and units.

Fig. 1.

Transverse microscopic wood sections of the vesselless Amborella trichopoda (a) and the vessel-bearing Ascarina rubricaulis (b) observed with a light microscope. Black arrows indicate tracheids (a) or vessels (b). Compelling differences in xylem conduit diameter (Dh) and conduit density (CD) are observed. Both species present uniseriate and multiseriate rays (white arrows). P=pith; X=xylem. Scale bars=500 µm, and 225 µm for insets.

Fig. 2.

Comparison of hydraulic and anatomical trait values amongst vesselless (red boxes) and vessel-bearing species with scalariform perforation plates (blue boxes). Boxes and bars show the median, 0.25 and 0.75 percentiles, and extreme values. P-values of comparisons between species with different xylem conduit types are included.

Interconduit pit ultrastructure

Tm varied significantly across species [F(12)=29.94; P≤0.001] from a minimum of 169±8 nm in the vessel-bearing P. alticola to a maximum of 388±26 nm in the vessel-bearing H. parvifolia. Mean Tm in vesselless species was 258±12 nm, which was not significantly different from the mean Tm in vessel-bearing species (266±30 nm; Fig. 2b; Table 3). Lp also varied significantly across species [F(11)=26.4; P≤0.001], from 694±42 nm in P. alticola to 1289±91 nm in Z. thieghemii. Vesselless species had a mean Lp of 1084±80 nm, similar to the mean Lp in vessel-bearing species (980±70 nm; Table 3). The other two interconduit pit traits measured, Dpa and Dm, had significant variation across species [F(11)=25.97; P≤0.001; and F(11)=9.01; P≤0.001; respectively]. Dpa varied from 1.42±0.11 µm to 6.83±0.58 µm, measured in Z. acsmithii and A. rubricaulis, respectively. Dm ranged from 5.76±0.81 µm to 11.71±0.68 µm, measured in Quintinia major and A. rubricaulis, respectively. Both lateral wall pit traits were not significantly different between vessel-bearing and vesselless species (Table 3).

Hydraulic conductivity and drought-induced vulnerability to embolism

Kth varied from 2.73 kg m−1 MPa−1 s−1 in the vessel-bearing P. alticola, which is theoretically the least conductive efficient species, to 24.12 kg m−1 MPa−1 s−1 in the vessel-bearing A. rubricaulis, which was the most conductive efficient species according to estimations based on anatomical measurements. Kth did not significantly differ in species with different vascular types (P=0.153): average Kth was 7.26±1.29 kg m−1 MPa−1 s−1 in vesselless species and 12.58±3.1 kg m−1 MPa−1 s−1 in vessel-bearing species (Fig. 2c; Table 3). Similarly, measured stem hydraulic conductivity (Ks) did not differ between vesselless and vessel-bearing species (P=0.300; Fig. 2d; Table 3). Ks and Kth had a significant correlation (Fig. 3). Ks ranged from 0.104 kg m−1 MPa−1 s−1 in H. cupulata to 0.890 kg m−1 MPa−1 s−1 in A. rubricaulis; both species have vessel-bearing xylem.

Fig. 3.

Relationship between theoretical hydraulic conductivity based on anatomical measurements (Kth) and measured stem-specific hydraulic conductivity (Ks). Vessel-bearing species (blue points) and vesselless species (red points) are indicated. SMA regression is included. *P≤0.05.

Xylem vulnerability to embolism was not significantly different between conduit types: vesselless species had a mean P50 of –2.85±0.32 MPa, and vessel-bearing species showed a similar mean P50 of –2.55±0.17 MPa (Fig. 2f; Table 3). Average P50 ranged from –4.11 MPa in the tracheid-bearing Z. crassifolium to -2.02 MPa in the vessel-bearing P. alticola, the most vulnerable species to drought-induced xylem embolism in our data set (Fig. 4). P12 was also not significantly different between conduit types: vesselless species had a mean P12 of –2.30±0.55 MPa, and vessel-bearing species had a mean P12 of –1.46±0.73 MPa (Table 3). Average P12 ranged from –3.50 MPa in the tracheid-bearing Z. crassifolium to –0.77 MPa in the vessel-bearing P. alticola. Interestingly, regardless of the xylem embolism index considered, these species were the most and the least resistant species, respectively (Table 2). P50 and P12 were not significantly related to hydraulic efficiency, as expressed by Kth and Ks (Table 4). S50 varied from 24% in H. cupulata to a steep slope of 162% in Z. acsmithii. Vesselless species had a significantly steeper slope than vessel-bearing species (Fig. 2e; Table 3).

Table 4.

Pearson and phylogenetic independent contrast correlations between hydraulic and anatomic traits

P12P50S50KsKth(t/b)2CDDHTwTmLpDpaDm
P120.84***0.64*0.32–0.110.60*0.61*–0.420.58*0.410.65*–0.250.30
P500.89**0.20–0.05–0.280.430.25–0.250.400.58*0.54–0.260.24
S500.230.090.480.070.420.83***–0.500.3900.31–0.220.03
Ks0.190.1100.65*0.310.320.230.34–0.180.460.440.19
Kth0.120.530.78*0.29–0.42–0.300.72**–0.230.010.190.67*0.09
(t/b)20.340.500.740.440.710.69*–0.76**0.9***–0.060.50–0.330.13
CD0.310.160.78*0.020.340.37–0.85***0.48–0.110.20–0.44–0.14
DH0.070.400.440.230.81*0.510.19–0.480.2300.63*0.16
Tw0.360.200.350.83*0.050.700.410.220.110.70*–0.220.23
Tm0.340.370.110.020.080.190.310.360.40.65*0.010.29
Lp0.390.280.340.670.060.630.470.310.94**0.670.190.50
Dpa0.250.070.76*0.130.390.490.86*0.130.520.610.650.39
Dm0.730.540.070.510.010.470.270.320.80*0.510.81*0.27
P12P50S50KsKth(t/b)2CDDHTwTmLpDpaDm
P120.84***0.64*0.32–0.110.60*0.61*–0.420.58*0.410.65*–0.250.30
P500.89**0.20–0.05–0.280.430.25–0.250.400.58*0.54–0.260.24
S500.230.090.480.070.420.83***–0.500.3900.31–0.220.03
Ks0.190.1100.65*0.310.320.230.34–0.180.460.440.19
Kth0.120.530.78*0.29–0.42–0.300.72**–0.230.010.190.67*0.09
(t/b)20.340.500.740.440.710.69*–0.76**0.9***–0.060.50–0.330.13
CD0.310.160.78*0.020.340.37–0.85***0.48–0.110.20–0.44–0.14
DH0.070.400.440.230.81*0.510.19–0.480.2300.63*0.16
Tw0.360.200.350.83*0.050.700.410.220.110.70*–0.220.23
Tm0.340.370.110.020.080.190.310.360.40.65*0.010.29
Lp0.390.280.340.670.060.630.470.310.94**0.670.190.50
Dpa0.250.070.76*0.130.390.490.86*0.130.520.610.650.39
Dm0.730.540.070.510.010.470.270.320.80*0.510.81*0.27

Correlations based on average values of vesselless and vessel-bearing angiosperm species. Pearson correlation coefficients (r) and phylogenetic independent contrast correlations (PICs) values are provided above and below the diagonal, respectively. PIC analyses were performed on a subset of nine species (see the Materials and methods). Significant correlations are shown in bold. *P≤0.05; **P≤0.01; ***P≤0.001. See Table 1 for abbreviations and units.

Table 4.

Pearson and phylogenetic independent contrast correlations between hydraulic and anatomic traits

P12P50S50KsKth(t/b)2CDDHTwTmLpDpaDm
P120.84***0.64*0.32–0.110.60*0.61*–0.420.58*0.410.65*–0.250.30
P500.89**0.20–0.05–0.280.430.25–0.250.400.58*0.54–0.260.24
S500.230.090.480.070.420.83***–0.500.3900.31–0.220.03
Ks0.190.1100.65*0.310.320.230.34–0.180.460.440.19
Kth0.120.530.78*0.29–0.42–0.300.72**–0.230.010.190.67*0.09
(t/b)20.340.500.740.440.710.69*–0.76**0.9***–0.060.50–0.330.13
CD0.310.160.78*0.020.340.37–0.85***0.48–0.110.20–0.44–0.14
DH0.070.400.440.230.81*0.510.19–0.480.2300.63*0.16
Tw0.360.200.350.83*0.050.700.410.220.110.70*–0.220.23
Tm0.340.370.110.020.080.190.310.360.40.65*0.010.29
Lp0.390.280.340.670.060.630.470.310.94**0.670.190.50
Dpa0.250.070.76*0.130.390.490.86*0.130.520.610.650.39
Dm0.730.540.070.510.010.470.270.320.80*0.510.81*0.27
P12P50S50KsKth(t/b)2CDDHTwTmLpDpaDm
P120.84***0.64*0.32–0.110.60*0.61*–0.420.58*0.410.65*–0.250.30
P500.89**0.20–0.05–0.280.430.25–0.250.400.58*0.54–0.260.24
S500.230.090.480.070.420.83***–0.500.3900.31–0.220.03
Ks0.190.1100.65*0.310.320.230.34–0.180.460.440.19
Kth0.120.530.78*0.29–0.42–0.300.72**–0.230.010.190.67*0.09
(t/b)20.340.500.740.440.710.69*–0.76**0.9***–0.060.50–0.330.13
CD0.310.160.78*0.020.340.37–0.85***0.48–0.110.20–0.44–0.14
DH0.070.400.440.230.81*0.510.19–0.480.2300.63*0.16
Tw0.360.200.350.83*0.050.700.410.220.110.70*–0.220.23
Tm0.340.370.110.020.080.190.310.360.40.65*0.010.29
Lp0.390.280.340.670.060.630.470.310.94**0.670.190.50
Dpa0.250.070.76*0.130.390.490.86*0.130.520.610.650.39
Dm0.730.540.070.510.010.470.270.320.80*0.510.81*0.27

Correlations based on average values of vesselless and vessel-bearing angiosperm species. Pearson correlation coefficients (r) and phylogenetic independent contrast correlations (PICs) values are provided above and below the diagonal, respectively. PIC analyses were performed on a subset of nine species (see the Materials and methods). Significant correlations are shown in bold. *P≤0.05; **P≤0.01; ***P≤0.001. See Table 1 for abbreviations and units.

Fig. 4.

Vulnerability curves fitted using a Weibull model showing the percentage loss of xylem hydraulic conductivity (%) as a function of declining water potential (MPa) for each of the 12 species studied. The best fit line is provided, and shaded polygons represent 95% confidence intervals (CIs). Vertical blue lines indicate the xylem pressure inducing 50% loss of hydraulic conductivity (P50) including the 95% CI (dashed lines). Vesselless species bearing only tracheids (T) and vessel-bearing species with scalariform perforation plates (V) are indicated.

Relationships between xylem hydraulics and anatomical traits

Among the anatomical variables measured in this study, only Tm was significantly related to significant vulnerability to drought-induced embolism, as represented by P50 (Fig. 5a; Table 4): species with thicker pit membranes were less vulnerable to xylem embolism (Fig. 6). The relationship between Tm and P50 was highly significant when considering only vessel-bearing species (Fig. 5a), but not significant when considering only vesselless species (Fig. 5a) mainly because of the effect of Z. crassifolium, an outlier which had relatively thin interconduit pit membranes with respect to its high embolism resistance. We did not observe a significant relationship between Tm and P12, the second index of embolism vulnerability included in this study (Table 4). Other ultrastructural pit features such as Dpa, Dm, and Lp were not related to P50 (Fig. 5b; Table 4). However, P12 was correlated with anatomical features such as CD, (t/b)2, Lp, and Tw (Table 4). Multiple regression analyses including the joint effect of Lp and Tm on xylem embolism vulnerability showed a non-significant variation of P12 and P50 (Supplementary Table S1). The coefficients associated with Lp or Tm were not significant in both models (Supplementary Table S1). However, Lp was the variable that contributed the most to P12 variation, and Tm was the variable that contributed the most to P50 variation, as shown by the higher semi-partial correlation values (Supplementary Table S1). The lower association of P50 with Lp was readily observed using ordinary least square regressions (Fig. 5b).

Fig. 5.

Relationship of pit ultrastructural traits to xylem embolism vulnerability. (A) The thickness of the interconduit pit membrane (Tm) is significantly related to xylem embolism vulnerability (P50). (B) Lack of a relationship between depth of pit chamber (Lp) and embolism vulnerability (P50). Vessel-bearing species with scalariform perforation plates (blue points) and vesselless species (red points) along with correlation values for each vascular type are indicated. ns=non significant; *P≤0.05; ***P≤0.001.

Fig. 6.

TEM images of interconduit lateral pits in vesselless (A, B) and vessel-bearing (C, D) angiosperms illustrating species that are vulnerable to embolism (left) and more embolism-resistant species (right). (A) Zygogynum stipitatum. (B) Zygogynum acsmithii. (C) Paracryphia alticola. (D) Hedycarya parvifolia. Arrows indicate pit membranes. Scale bars=2 µm.

Furthermore, we observed a significant relationhip of S50 and (t/b)2 with CD, and a positive correlation of Dpa and DH with Kth. We found less significant intertrait correlations after phylogenetic corrections (Table 4). This might result from a more limited correlated evolution between traits, and because of the lower number of species considered in the analysis. Significant Pearson and PIC correlations were observed between anatomical features such as Lp and Tw. Moreover, the relationships of CD with S50, and of DH with Kth remained significant after phylogenetic correction. A complete list of coefficients of Pearson (r) and phylogenetic independent contrast correlations (rPIC) between hydraulic and anatomical traits across species is available in Table 4.

Discussion

Similar hydraulic efficiency and safety in stems of vesselless and vessel-bearing angiosperms with scalariform perforation plates

Vesselless and vessel-bearing angiosperm species with scalariform perforation plates had similar hydraulic performance when considering both measured (Ks) and theoretical (Kth) xylem-specific hydraulic conductivity (Fig. 2; Table 3), confirming previous observations at the sapwood level (Hacke et al., 2007; Sperry et al., 2007; Hudson et al., 2010). Based on the tight relationship between Kth and Ks, we obtained a satisfactory prediction of stem hydraulic conductivity using xylem anatomical measurements regardless of the xylem conduit type. The higher rates of Kth, as compared with Ks, arise from the underestimation of a number of structural features that can exert additional resistance to flow, such as perforation plate morphology and ultrastructural interconduit pit variation (Sperry et al., 2007; Christman and Sperry, 2010; Hacke et al., 2017). For instance, single-vessel flow measurements have demonstrated that scalariform perforation plates contribute significantly to the resistance to water flow, presenting 580% higher resistance at the sapwood level compared with species with vessels bearing simple perforation plates (Christman and Sperry, 2010). Moreover, interconduit pits account for >50% of total xylem hydraulic resistance in angiosperms (Sperry et al., 2006; Choat et al., 2008), mainly caused by the thickness of the pit membranes and the diameters of the pit apertures, emphasizing the strong influence of pit-level ultrastructural differences on hydraulic conductivity.

Only two vessel-bearing species, A. rubricaulis and N. viellardii, had higher Ks values than the vesselless species studied. Interestingly, A. rubricaulis and N. viellardii were the studied species with the highest average DH measured, illustrating the relevance of conduit diameter in increasing hydraulic conductivity. The low Ks values measured in the remaining vessel-bearing species probably result from the morphology of their perforation plates, since they all present oblique scalariform perforation plates with numerous, closely spaced bars (often >20; Fig. 7a, b). Paracryphia alticola, one of the species with the lowest Ks measured (Table 2), is noteworthy in this regard because of the exceptionally high number of bars per perforation plate (on average >100, with maximum values of up to 200 according to Dickison and Baas, 1977; Fig. 7b). The observed similarities in hydraulic efficiency across vesselless and vessel-bearing angiosperms with scalariform perforation plates underpin the view that efficient vessel-bearing species emerged only after the reduction of bars in the scalariform perforation plates and the development of highly efficient simple perforation plates in which all the bars have disappeared. It has been shown that the tracheids of vesselless angiosperms have a lower pit area resistivity in comparison with those of eudicot vessels (Hacke et al., 2007). However, Sperry et al. (2007) estimated that the more efficient eudicot angiosperms, which are over-represented by species with simple perforation plates, have ~4.5 times lower sapwood-specific resistivity than early diverging angiosperms, including both vessel-bearing and vesselless lineages.

Fig. 7.

SEM images of vessel elements bearing scalariform perforation plates with different morphologies. (a and b) Radial view of scalariform perforation plates (black arrows). (c and d) Membrane remnants in pits of scalariform perforation plates (white arrows). (a, c) Hedycarya cupulata. (b, d) Paracryphia alticola. Scale bars=150 µm in (a) and (b); 70 µm in (c); 30 µm in (d).

Along with perforation plate morphology, it has been suggested that pit membrane remnants further increase sap flow resistivity (Carlquist, 1992; Sperry et al., 2007; Feild and Wilson, 2012). Pit membrane remnants, observed in the scalariform perforation plates of the species studied here (Fig. 7c, d), are considered to be a relictual character in angiosperms and are regularly observed in angiosperm species with densely barred scalariform perforation plates (Carlquist, 1992; Carlquist and Schneider, 2004). Incomplete lysis of the cellulose microfibrils in developing scalariform perforation plates causes this transitional stage between tracheids (with intact pit membranes in scalariform end wall pitting) and vessel elements (with none or residual pit membrane remnants in the scalariform perforation plates; Carlquist, 1992). Taken all together, scalariform perforation plates with many bars and pit membrane remnants represent major obstructions to flow, accounting for 57% of the total flow resistivity on average (Sperry et al., 2007).

In addition to the comparable hydraulic efficiency between the vesselless and vessel-bearing angiosperm species studied, our observations also showed no differences in vulnerability to xylem embolism (P12 and P50) between both groups. The similar low efficiency and safety in xylem hydraulic transport observed here in both groups supports the hypothesis that early diverging angiosperms were limited to mesic habitats with low evaporative demands and low drought-induced embolism resistance throughout their evolutionary history (Sperry et al., 2007; Carlquist, 2012; Feild and Wilson, 2012). On the other hand, species with different conduit types showed significant differences in S50 obtained from vulnerability curves fitted using a Weibull function, suggesting that the drought-induced loss in hydraulic conductivity occurs faster in vesselless species. This difference in speed of hydraulic dysfunction between vessel-bearing and vesselless species may be caused by the higher conduit density of vesselless species, and thus more numerous pit connections between tracheids that enable air to propagate faster within the 3D tracheid network. We did not find a clear safety–efficiency trade-off in our data set, which is in line with the weak relationship between xylem hydraulic safety and efficiency observed in woody species across different ecosystems (Gleason et al., 2016a).

Anatomical features conferring embolism resistance in angiosperms with different xylem conduit morphologies: the key role of interconduit pit membrane thickness

Our study highlights that pit structural traits are the most important anatomical feature in determining xylem embolism resistance. Indeed, among all measured xylem conduit features, interconduit pit membrane thickness (Tm) was the only trait that was significantly linked to significant levels of embolism resistance (P50). Overall, species with thicker interconduit pit membranes showed higher resistance to drought-induced embolism formation, which is in agreement with previous studies across a diversity of angiosperm species (Lens et al., 2011; Li et al., 2016; Dória et al., 2018, 2019). Due to the accumulation of cellulose microfibril layers in the interconduit pit membranes, species with thicker pit membranes have a longer and more tortuous pathway for air bubbles to traverse from an embolized conduit to an adjacent water-filled conduit. Moreover, it is believed that thicker interconduit pit membranes have more lipid-based surfactant molecules in the intervessel pit membranes, which may facilitate coating of the nanoscaled air bubbles, thereby stabilizing these nanobubbles under negative pressure (Schenk et al., 2015, 2017). Additionally, higher Tm might allow for safeguarding the mechanical integrity at high cavitation-inducing tensions (Tixier et al., 2014), thereby preventing the pores in the pit membranes from enlarging above a critical air-seeding threshold.

The relationship between Tm and P50 was not significant when considering vesselless species only. The lack of TmP50 correlation observed in the vesselless angiosperms studied might stem from a low variation in embolism vulnerability thresholds. However, our results—matching anatomical and hydraulic observations from the same stems—are consistent with a recent study that could not detect a functional TmP50 correlation in six vesselless angiosperm species based on anatomical and hydraulic observations that came from different individuals (Zhang et al., 2017; Supplementary Table S2). When merging our data with the data set of Zhang et al. (2017), we were still unable to detect a significant correlation between Tm and P50 amongst the vesselless species (r= –0.27; P=0.45; Supplementary Fig. S2). Future studies with a denser sampling, combining hydraulic and anatomical measurements from the same individuals, are necessary to explore further the relationship between Tm and P50 in vesselless angiosperm species. The lack of PIC correlations observed between Tm and P50 suggests that the evolutionary basis for a coordination between pit membrane thickness and increased embolism resistance is weak. However, this analysis was performed on only nine out of the 12 species measured due to incomplete sampling in published molecular phylogenies. Future studies including phylogenetic corrections would be needed to understand the evolutionary significance of xylem conduit ultrastructural variation, and its link to embolism resistance in the plant hydraulic system.

Conduit diameter was not related to drought-induced embolism vulnerability in our study. This is in accordance with Tyree and Sperry (1989) who argued that the mechanism of embolism formation is not directly linked to conduit diameter. The relationship between drought-inducing embolism and DH is controversial: large trees tend to be more prone to drought-induced mortality compared with shorter trees (Bennett et al., 2015) probably because plant size is the main driver of conduit diameter variation (Olson et al., 2018), but sound evidence for this correlation at the high (Hacke et al., 2017) or low taxonomic level (Fichot et al., 2010; Lens et al., 2011) is ambiguous. Our results in branches of comparable diameter and position in the crown suggest that conduit diameter and embolism vulnerability are unrelated across angiosperms with different conduit morphologies. Likewise, we did not find a significant relationship between CD and P50, and species with different types of tracheary elements showed similar embolism-inducing pressure thresholds. Nevertheless, CD was significantly correlated to S50 across species, and this relationship was also significant using PIC correlation analyses. The relationship between CD and S50 suggests that tracheid-bearing species with numerous adjacent conduits per xylem surface area have a faster propagation of embolisms via air-seeding compared with vessel-bearing species with fewer conduits. P12, which has been suggested as an air-entry threshold (Domec and Gartner, 2001; Martin-StPaul et al., 2017), was correlated to CD, Lp, Tw, and (t/b)2. Moreover, the pit chamber depth (Lp) showed a higher semi-partial correlation value than pit membrane thickness (Tm) when explaining the joint effect of both structural features on P12. These results suggest an important role for conduit wall features and pit chamber depth on air propagation under low xylem tensions.

One of the features that diverged between vesselless and vessel-bearing species was cell wall reinforcement or the thickness to span ratio of conduits, as represented by (t/b)2. A similar index, (t/b)3, has been shown to be significantly related to climate variables and leaf P50 in Australian angiosperms (Blackman et al., 2010; Jordan et al., 2013). Yet, conduit wall reinforcement was unrelated to embolism vulnerability in our set of species: vesselless species presented significantly higher (t/b)2 than vessel-bearing species, but both groups showed similar embolism vulnerability values. Therefore, it seems that conduit wall reinforcement is not selected for in moist rain forest habitats, as opposed to the strong relationship of (t/b)2 and P50 in drier vegetation types such as southern Californian chaparral (Jacobsen et al., 2005). Additionally, tracheids are simultaneously involved in the mechanical and hydraulic functions of vesselless angiosperms (Hudson et al., 2010; Feild and Wilson, 2012; Feild et al., 2012). Therefore, the higher conduit wall reinforcement in vesselless angiosperms might be selected to meet the mechanical demands of the stems, blurring the relationship between (t/b)2 and P50. (t/b)2 was, however, related to P12, suggesting an important role for conduit wall reinforcement during the onset of xylem embolism formation.

New Caledonian rain forests, a safe haven for species with inefficient and drought-sensitive xylem conduits

It has been suggested that the high hydraulic resistance exerted by oblique scalariform perforation plates may not be disadvantageous in environments with low transpiration rates such as tropical mountains and cool alpine regions (Baas, 1976; Carlquist, 2001; Jansen et al., 2004; Lens et al., 2016). Likewise, vesselless angiosperms might be limited to wet forest habitats where their tracheid-based wood does not impose important hydraulic constraints, and may also be favored in freezing-prone environments (Feild et al., 2000, 2002). Given that the species included in this study are mainly distributed in rain forest ecosystems (Trueba et al., 2017), our results suggest that the species studied, which are characterized by low hydraulic safety and efficiency, have not experienced past climatic conditions that forced them to evolve a hydraulically efficient and embolism-resistant vascular apparatus. Species with both low efficiency and low safety are more common than expected (Gleason et al., 2016a), and the occurrence of species with this hydraulic profile in the New Caledonian archipelago might be explained by the presence of rain forest refugia during the climatic upheavals of the Pleistocene (Pouteau et al., 2015). Likewise, the persistence of mesic climatic conditions may have buffered New Caledonian species with vulnerable xylem conduits from the extreme climate shifts that strongly affected the vegetation of Australia and some nearby South Pacific Islands (Byrne et al., 2011).

Most of the species studied here are considered early diverging angiosperms because of their phylogenetic position, belonging to the ANA grade and the magnoliids, with the massive monocot–eudicot clade as a subsequently diverging clade. New Caledonian early diverging angiosperms have a remarkable preference for rain forest habitats that exhibit high moisture levels and low diurnal and seasonal variations in temperature (Pouteau et al., 2015). Xylem embolism and its associated hydraulic failure is one of the most important mechanisms driving drought-induced mortality in moist tropical forests (Adams et al., 2017; McDowell et al., 2018). It has been shown that species inhabiting similar environments can display different drought tolerances, ultimately showing different mortality rates after a drought event (Johnson et al., 2018). However, the lack of differentiation in hydraulic vulnerability between vessel-bearing angiosperms with scalariform perforation plates and co-occurring vesselless species suggests that, under the stable climatic conditions of the New Caledonian rain forest, species with different conduit types show a convergence of wood physiological features (Brodribb and Feild, 2000). Given ongoing and projected increases in temperature averages in New Caledonia (Cavarero et al., 2012), our results suggest that drought will equally impact species with xylem conduits displaying very different morphologies. Extreme climate events in the rain forests of New Caledonia may therefore represent a major threat to the unique and charismatic flora of the archipelago.

Supplementary data

Supplementary data are available at JXB online.

Fig. S1. Phylogenetic tree showing the relationships of nine of the 12 studied species.

Fig. S2. Relationship of embolism vulnerability (P50) and pit membrane thickness (Tm) across vesselless angiosperms.

Table S1. Multiple regressions showing embolism vulnerability (P12 and P50) as predicted by the joint effect of ultrastructural variables: pit membrane thickness (Tm) and pith chamber depth (Lp).

Table S2. Hydraulic vulnerability (P50) and pit membrane thickness (Tm) of 10 vesselless angiosperms.

Acknowledgements

We thank Jeremy Girardi for assistance during fieldwork and light microscope image processing, Vanessa Hequet for fieldwork assistance, Fabian Carriconde, Valérie Medevielle, and Léocadie Jamet for providing laboratory equipment, Rob Langelaan for assistance in the preparation of samples and TEM imaging, Felipe Zapata and Leila Fletcher for providing help in the implementation of PIC analysis, and Tim Brodribb, Taylor Feild, and Adam Roddy for their insightful comments on the manuscript. ST was supported by CONACYT (grant no. 217745) and by the UC-MEXUS postdoctoral program. This work was also supported by the ‘Investments for the Future’ (ANR-10-EQPX-16, XYLOFOREST) program and the Cluster of Excellence COTE (ANR-10-LABX-45, within the DEFI project) of the French National Agency for Research.

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