Tree Physiology 34, 415–425 doi:10.1093/treephys/tpu019 Research paper Root diameter variations explained by anatomy and phylogeny of 50 tropical and temperate tree species Jiacun Gu1,2, Yang Xu1, Xueyun Dong3, Hongfeng Wang1 and Zhengquan Wang1,4 3School of Forestry, Northeast Forestry University, Harbin 150040, China; 2Center for Ecological Research, Northeast Forestry University, Harbin 150040, China; of Science, Harbin University, Harbin 150086, China; 4Corresponding author ([email protected], [email protected]) Received August 7, 2013; accepted February 14, 2014; published online April 2, 2014; handling Editor Frederick Meinzer Root diameter, a critical indicator of root physiological function, varies greatly among tree species, but the underlying mechanism of this high variability is unclear. Here, we sampled 50 tree species across tropical and temperate zones in China, and measured root morphological and anatomical traits along the first five branch orders in each species. Our objectives were (i) to reveal the relationships between root diameter, cortical thickness and stele diameter among tree species in tropical and temperate forests, and (ii) to investigate the relationship of both root morphological and anatomical traits with divergence time during species radiation. The results showed that root diameter was strongly affected by cortical thickness but less by stele diameter in both tropical and temperate species. Changes in cortical thickness explained over 90% of variation in root diameter for the first order, and ~74–87% for the second and third orders. Thicker roots displayed greater cortical thickness and more cortical cell layers than thinner roots. Phylogenetic analysis demonstrated that root diameter, cortical thickness and number of cortical cell layers significantly correlated with divergence time at the family level, showing similar variation trends in geological time. The results also suggested that trees tend to decrease their root cortical thickness rather than stele diameter during species radiation. The close linkage of variations in root morphology and anatomy to phylogeny as demonstrated by the data from the 50 tree species should provide some insights into the mechanism of root diameter variability among tree species. Keywords: angiosperm species, root anatomy, root branch order, root morphology, temperate forests, tropical forests. Introduction Variability of root morphology among tree species is manifested by diameter, length, specific root length (SRL) and tissue density, all of which play key roles in root functions (Eissenstat and Yanai 1997, Pregitzer et al. 2002, Comas et al. 2012). In comparison with other root traits, diameter may be the most important morphological feature. For example, root absorptive efficiency mainly depends on diameter, and thinner roots with lower tissue density and higher SRL may absorb greater nutrients and water from the soil (Eissenstat and Yanai 1997, Eissenstat et al. 2000, Fitter 2002). In addition, thinner roots also have shorter lifespans or faster turnover rates (Gill and Jackson 2000, Wells et al. 2002), and significantly contribute to carbon (C) and nutrient cycles in forest ecosystems (Norby and Jackson 2000, Joslin et al. 2006). Recent studies found that root diameter, particularly that of root tips, varied over 10-fold among tree species in tropical (Chang and Guo 2008) and temperate regions (Valenzuela-Estrada et al. 2008, Comas and Eissenstat 2009, W. Shi, personal communication). However, what caused such large variation is yet to be well identified and explained. Other root-trait studies with multiple species showed that diameter was closely correlated with SRL (Comas and Eissenstat 2009), stele diameter (Guo et al. 2008) and the divergence time in evolutionary history (Comas et al. 2012, Chen et al. 2013). Despite these previous studies, © The Author 2014. Published by Oxford University Press. All rights reserved. For Permissions, please email: [email protected] Downloaded from http://treephys.oxfordjournals.org/ by guest on November 7, 2016 1School 416 Gu et al. Tree Physiology Volume 34, 2014 mentioned above, the main objectives of this study were (i) to reveal the relationships between root diameter, cortical thickness and stele diameter among tree species in tropical and temperate forests, and (ii) to investigate the relationship of both root morphological traits (diameter) and anatomical traits with divergence time during species radiation. Materials and methods Study site Two study sites were chosen. Site I was located in a tropical forest in the Jianfengling National Natural Reserve (18°23′– 18°50′N, 108°36′–109°05′E) in Hainan of southern China. This site has a tropical climate with mean January, July and annual temperatures of 19.4, 27.3 and 24.5 °C, respectively. The mean annual precipitation is 2651 mm, of which ~80% occurs between May and October. The soils are Humic Acrisol (Gong et al. 1999) with high nutrients. Under such climate conditions, tropical seasonal rainforest dominates the mountain areas. Site II was located in a temperate forest at the Maoershan research station (45°21′–45°25′N, 127°30′–127°34′E) of the Northeast Forestry University in Heilongjiang of northeastern China. This site has a continental temperate monsoon climate with mean January, July and annual temperatures of −19.6, 20.9 and 2.8 °C, respectively. The mean annual precipitation is 723 mm with 477 mm falling from June to August (Zhou 1994). The soils are Hap-Boric Luvisols (Gong et al. 1999), well drained with high organic matter. The site is dominated by the secondgrowth forest regenerated after the old growth of mixed Korean pine and hardwood forest was harvested over 70 years ago. Species selection and root sampling We sampled a total of 50 species, 27 at tropical Site I and 23 at temperate Site II (see Table S1 available as Supplementary Data at Tree Physiology Online). The 47 hardwoods and three conifers belong to 19 orders and 28 families, of which four families were common at both study sites. These species included magnoliids, rosids, malvids, asterids and campanulids for angiosperms and pinales for gymnosperms, but did not include basal angiosperms and monocots. The roots were sampled in August of 2009 for tropical species (Site I) and in late July of 2007 for temperate species (Site II). At both sites, three individual trees were selected for each species, with ages ranging from 30 to 50 years and diameters at breast height (DBHs) from 15 to 20 cm. One root sample from each of the three trees was taken from the top 20-cm soil layer (mineral soil layer), following the same procedure as in Guo et al. (2008). Root branches (including more than five branch orders) were traced to the tree stem and cut from the main lateral woody roots, which enabled us to identify and sort roots of target species. Once collected, each root sample was divided into two subsamples: one was gently washed in deionized water Downloaded from http://treephys.oxfordjournals.org/ by guest on November 7, 2016 the primary traits governing root diameter variation among tree species are still not well established. The cortex and stele are the two main tissues in primary roots (Esau 1977, Peterson et al. 1999, Lux et al. 2004), and their variations will determine root diameter. However, the extent to which these two traits influence diameter variation remains unclear. For example, Hummel et al. (2007) reported that root diameter correlated strongly with cortical (plus rhizodermis) cross-sectional area but only weakly with xylem diameter in 14 herbaceous Mediterranean species. In contrast, Guo et al. (2008) showed that root diameter was closely correlated with stele diameter rather than cortex thickness in 23 Chinese temperate tree species. One possible reason for such a discrepancy may be that Hummel et al. (2007) selected only the first-order roots (root tips), while Guo et al. (2008) included all of the first five order roots. Considering that the proportion of the cortex decreases (or disappears) and the stele increases with ascending root branch orders in woody plants (Guo et al. 2008, ValenzuelaEstrada et al. 2008), we propose our first hypothesis that, for those lower-order (or absorptive) roots, root diameter is mainly affected by cortical thickness but less by stele diameter. Root diameter variability may also be influenced by species evolutionary history (Fitter 2002, Kenrick 2002). However, it is very difficult to reconstruct root evolutionary history, due to the scarcity of root fossils in geological strata (Elick et al. 1998, Raven and Edwards 2001, Kenrick 2002). Extant species might provide some insights in this regard (Peterson 1992). Based on phylogenetic analyses with woody plants, Comas and Eissenstat (2009) and Comas et al. (2012) suggested that extant angiosperms with lineages diversifying more recently during the Cretaceous had thinner roots with higher SRL than primitive angiosperms. Chen et al. (2013) found that the root diameter of extant species significantly correlated with divergence time at the family level and decreased from 120 to 64 million years ago, and was constant afterwards. These findings suggest that root diameter is substantially influenced by plant phylogeny, although further tests are needed using fossil evidence when available (Comas et al. 2012). Anatomy is important for our understanding of plant evolutionary trends (Seago and Fernando 2013), but it remains unclear whether evolutionary patterns of root diameter are mirrored by anatomical traits. Thus, our second hypothesis is that cortical thickness, number of cortical cell layers and stele diameter have similar variation patterns to root diameter during species radiation in geological time. In the current study, we sampled 50 tree species, 27 from tropical and 23 from temperate forests (i.e., latitude from 18° to 45°) in China. These 50 tree species belong to 19 orders and 28 families. Root morphological traits (diameter, SRL and tissue density) and anatomical traits (cortical thickness, stele diameter and number of cortical cell layers) along the first five branch orders (distal roots numbered as first order) were measured for each species. By testing the two hypotheses Tree root diameter variation and phylogeny 417 and immediately fixed in formalin-aceto-alcohol (FAA) solution (90 ml of 50% ethanol, 5 ml of 100% glacial acetic acid and 5 ml of 37% methanol); the other was immediately put on ice and transported to the laboratory within 4 h and frozen for dissection and morphological analysis at a later date. Root morphology and anatomy Species phylogeny The phylogeny of the 50 species was constructed based on the instructions of the APG III system (APG 2009) and the Angiosperm Phylogeny website (http://www.mobot.org/ MOBOT/Research/APweb/welcome.html) (Stevens 2001). The free software PHYLOCOM 4.2 (Webb et al. 2008, http://phylodiversity.net/phylocom/) was used to construct the phylogenetic tree (see Figure S1 available as Supplementary Data at Tree Physiology Online), in which the resolved PHYLOMATIC tree (R20100701) was used as the backbone for our supertree. The Branch Length Adjuster algorithm in PHYLOCOM in combination with estimated family ages (Wikström et al. 2001) was used to adjust all the branch lengths in our phylogenetic tree. In addition, we obtained divergence times of angiosperm families from Wikström et al. (2001) based on the molecular clock theory. We determined the geological time when a family Data analysis The means, median, minimum, maximum and coefficient of variation (CV) were calculated at branch order level for five root traits, i.e., diameter, SRL, tissue density, cortical thickness and stele diameter, in both tropical and temperate sites. In order to test the first hypothesis, regression analysis was used to determine the relationships between root diameter, cortical thickness and stele diameter for the first three branch orders among species at each site, and the relationship between cortical thickness and number of cortical cell layers. All statistical analysis mentioned above was performed using the SPSS software (2010, V. 19.0: SPSS, Inc., Cary, NC, USA). Variations in first-order root morphological and anatomical traits at the family level in geological time, and their correlations with divergence time were determined by piecewise regression (Chen et al. 2013). Piecewise regression models are ‘broken-stick’ models, where two or more lines are joined at unknown points, called ‘breakpoints’ (Toms and Lesperance 2003). Breakpoints can be used as estimates of thresholds, and were used here to determine the thresholds of divergence time for root morphological and anatomical traits in geological time (Chen et al. 2013). With this approach, we tested the second hypothesis in our study. In addition, we used the phylogenetically independent contrasts (PIC) method to test the dependence of root morphological and anatomical trait variation on divergence time without the influence of phylogeny. PIC analysis was evaluated with the ‘analysis of traits’ (AOT) module in PHYLOCOM 4.2, which can calculate the internal node values for continuous traits (Felsenstein 1985, Webb et al. 2008). We did not include gymnosperms in PIC analysis as they evolved in a different lineage and may differ markedly in root anatomy from angiosperm species. Finally, we calculated the correlation coefficients between root diameter and anatomical traits for 47 species with the PIC method. Results Variations in root morphological and anatomical traits Root traits showed great variability in statistical characteristics between both tropical and temperate forests, in addition Tree Physiology Online at http://www.treephys.oxfordjournals.org Downloaded from http://treephys.oxfordjournals.org/ by guest on November 7, 2016 In the laboratory, at least five intact root branches for each sample were dissected for morphological analysis under a ×10 stereomicroscope (Motic SMZ-140, Xiamen, China), following the procedure described in Pregitzer et al. (2002) and Wang et al. (2006), with the distal non-woody roots regarded as firstorder roots. For morphology, roots were separated by order, with >1000, 500, 150, 50 and 20 roots collected for the first to fifth order per sample. After dissection, the roots of each subsample were scanned by order with an EPSON EXPRESSION 10000XL colored scanner (dots per inch = 400). The mean diameter, total length and volume for each order of roots were determined with the root system analyzer software (WinRhizo 2004b, Regent Instruments, Inc., Québec, Canada). Then these roots were oven dried (65 °C) to determine constant weight (nearest 0.0001 g). The SRL for each order was calculated as the total length divided by the corresponding dry mass (ash-free mass basis). The tissue density for each order of roots was calculated as the dry mass (ash-free mass basis) divided by the corresponding total volume. For root anatomy, roots in each FAA subsample were dissected carefully by branch order. Twenty roots from each branch order were stained with safranine-fast green, and then dehydrated in 70, 85, 95 and 100% alcohol, embedded in paraffin; and slides of 8-μm-thick root sections were prepared with a microtome for determination of anatomical characteristics (Guo et al. 2008). The slides were photographed under a compound microscope (BX51; Olympus, Tokyo, Japan), with root diameter, cortical thickness, stele diameter and number of cortical cell layers being measured from three cross-sections for each root segment. and its nearest sister family diverged from their immediate ancestor as the divergence time for this family. Since the divergence time estimated by Wikström et al. (2001) was given for the divergence node between two adjacent related genera, rather than between families, we chose the divergence time of the earliest genus within a family to represent the divergence time for the family (Chen et al. 2013). We noted that the phylogenetic tree was constructed by species at the extremes of south and north distribution in China and did not have any species in the middle. However, the dataset covered species of both primitive and newly divergent families at each study site. 418 Gu et al. Effect of anatomical traits on root diameter Multiple linear regression showed that both cortical thickness and stele diameter influenced root diameters of the first three orders in tropical and temperate trees, but the effect of cortical thickness was greater (see Table S2 available as Supplementary Data at Tree Physiology Online). Root diameter was positively correlated with cortical thickness, which explained 92 (tropical) and 93% (temperate) of the variations in root diameter for first order, over 80% for second order and over 70% for third order (Figure 1). Stele diameter displayed a relatively weaker correlation, and explained 47–57% (tropical) and 36–66% (temperate) of the variations in root diameters among the first three orders (Figure 2). In root cross-sections, cortical thickness positively correlated with the number of cortical cell layers across the first three order roots in both tropical and temperate trees (Figure 3). For example, for tropical trees, Eurya ciliata Merr. had a first-order root cortical thickness of 55.5 ± 2.7 µm with three cortical cell layers (Figure 4a; root diameter of 142 ± 4 µm), while Alseodaphne hainanensis Merr. had a cortical thickness of 301.1 ± 11.1 µm with 12 cortical cell layers (Figure 4b; root diameter of 905.7 ± 27.9 µm). Similarly, for temperate trees, Betula platyphylla Suk. had a first-order root cortical thickness of 41.3 ± 2.9 µm with four cortical cell layers (Figure 4c; root diameter of 157 ± 7.1 µm), while P. amurense had a cortical thickness of 177 ± 6.9 µm with 10 cortical cell layers (Figure 4d; root diameter of 522 ± 18.8 µm). Overall, 54–77% of the interspecies variation in cortical thickness could be explained by the number of cortical cell layers (Figure 3). Table 1. Descriptive statistics for five root traits of morphology and anatomy in 50 tropical and temperate tree species measured in this study. Root trait Diameter (mm) SRL (m g−1) Tissue density (g cm−3) Cortical thickness (μm) Stele diameter (μm) Root order 1 2 3 4 5 1 2 3 4 5 1 2 3 4 5 1 2 3 1 2 3 4 5 Tropical Temperate Minimum Maximum Mean Median 0.135 0.156 0.160 0.162 0.175 3.48 3.24 2.52 1.63 1.13 0.078 0.100 0.117 0.085 0.149 25.00 16.42 0.00 38.97 68.32 81.61 123.47 147.52 1.113 1.218 1.359 1.623 1.878 288.53 220.79 163.49 135.47 26.65 0.317 0.390 0.541 0.551 0.646 362.25 432.92 415.75 261.05 321.41 365.14 1352.87 1505.84 0.422 0.475 0.552 0.678 0.843 73.94 48.09 28.67 16.74 6.76 0.162 0.197 0.242 0.254 0.299 146.47 153.52 146.23 108.38 143.89 203.86 470.11 649.73 0.356 0.408 0.478 0.614 0.822 50.23 36.48 20.02 11.41 5.58 0.150 0.191 0.225 0.246 0.264 131.05 134.55 126.71 91.03 126.41 180.16 422.06 618.52 Tree Physiology Volume 34, 2014 CV 0.607 0.581 0.547 0.504 0.470 0.968 1.011 1.129 1.489 0.770 0.376 0.331 0.387 0.366 0.336 0.615 0.653 0.760 0.528 0.458 0.414 1.804 2.063 Minimum Maximum Mean Median CV 0.168 0.164 0.212 0.293 0.394 33.70 24.30 12.70 3.77 1.309 0.136 0.136 0.155 0.220 0.183 40.91 14.94 0.00 37.45 59.24 104.62 199.05 315.23 0.520 0.566 0.806 1.530 3.209 203.82 130.22 67.87 34.21 18.96 0.407 0.363 0.524 0.554 0.519 177.74 175.64 206.11 154.55 220.78 354.49 1131.23 2567.17 0.243 0.265 0.340 0.539 0.959 99.83 84.55 45.06 18.05 6.70 0.272 0.263 0.343 0.391 0.384 79.32 71.89 53.24 70.69 110.03 194.94 425.58 758.22 0.219 0.240 0.302 0.431 0.809 95.67 76.17 45.92 16.27 5.82 0.305 0.255 0.351 0.419 0.404 73.08 72.04 25.91 54.53 103.37 178.61 411.15 721.34 0.297 0.345 0.445 0.568 0.682 0.377 0.345 0.382 0.489 0.604 0.321 0.261 0.293 0.239 0.222 0.386 0.525 1.163 0.440 0.333 0.330 1.125 1.986 Downloaded from http://treephys.oxfordjournals.org/ by guest on November 7, 2016 to large differences among the first five orders (Table 1). The average diameter was greater for tropical trees than for temperate trees. Root diameter in first order varied nearly ninefold between the thinnest (Cratoxylum cochinchinense Lour.: 135 ± 4 µm) and the thickest (Cryptocarya chinensis Hemsl.: 1113 ± 17 µm) for tropical trees, but threefold for temperate trees (Salix koreensis Anderss.: 148 ± 7 µm vs Phellodendron amurense Rupr.: 522 ± 19 µm). The average SRL was shorter and tissue density was less for tropical trees than for temperate trees. The SRL varied over 80-fold between the shortest (C. chinensis: 3.5 ± 0.3 m g−1) and the longest (C. cochinchinense: 288.5 ± 2.3 m g−1) for tropical trees, but sixfold for temperate trees (P. amurense: 35.7 ± 0.7 m g−1 vs Euonymus pauciflorus Sieb.: 203.8 ± 2.1 m g−1). Cortical thickness and stele diameter were both greater for tropical trees than for temperate trees (Table 1). In the first three orders, the average cortical thickness for each order ranged from 146 to 153 µm for tropical species and from 53 to 79 µm for temperate species. By contrast, stele developed in all orders of roots, and its diameter increased with ascending root order. The average stele diameter for each order varied between 108 and 203 µm for tropical trees and between 71 and 195 µm for temperate trees. Tree root diameter variation and phylogeny 419 Phylogenetic variations in root morphological and anatomical traits Phylogenetic analysis showed that angiosperms of primitive families, such as Lauraceae and Magnoliaceae, commonly had thicker roots in first order (Figure 5). Anatomical results showed that those species of primitive families not only had thicker root diameters but also had greater cortical thickness and thicker stele, as well as a greater number of cortical cell layers (Figures 4 and 5). Piecewise regression analysis demonstrated that both root morphological and anatomical traits at the family level may have similar trends of variation in geological time with a consistent decline from the period of 120 to 60 million years before present (MYBP), and level off after ~60 MYBP (Figure 6). Root diameter, cortical thickness and number of cortical cell layers, but not stele diameter, were significantly correlated with divergence time (R2 = 0.19–0.28, all P < 0.05; Figure 6). Phylogenetically independent contrasts also showed that the correlations between divergence time and root diameter, cortical thickness and number of cortical cell layers were still significant after the influence of phylogeny was removed (R2 = 0.19–0.33, all P < 0.05; Figure 6). In addition, when the phylogenetic influence was removed, the correlation between cortical thickness and root diameter was strongest among the root morphological and anatomical traits studied (see Table S3 available as Supplementary Data at Tree Physiology Online). Discussion Relations of root diameter to anatomical traits Root diameter plays a crucial role in root-driven ecophysiological processes in forest ecosystems. For example, thinner roots of trees usually have higher mycorrhizal colonization (Reinhardt and Miller 1990, Brundrett 2002), greater absorptive capacity (Wells and Eissenstat 2003, Dunbabin et al. 2004, Rewald et al. 2012), shorter lifespan (Eissenstat and Yanai 1997, Kern Tree Physiology Online at http://www.treephys.oxfordjournals.org Downloaded from http://treephys.oxfordjournals.org/ by guest on November 7, 2016 Figure 1. Correlations between root diameter and cortical thickness in the first three orders among 27 tropical and 23 temperate tree species in China. 420 Gu et al. et al. 2004, Baddeley and Watson 2005) and faster decomposition (Fehay and Hughes 1994, Schenk and Jackson 2002). Root diameter varies greatly among tree species, even at the same site (Guo et al. 2008, Comas and Eissenstat 2009), but the reasons are still not well understood. Our study demonstrated that root diameter was mainly affected by cortical thickness and less by stele diameter in a large number (50) of tropical and temperate tree species (Figures 1 and 2, see Table S2 available as Supplementary Data at Tree Physiology Online). Even when the influence of phylogeny was removed, root diameter was still strongly correlated with cortical thickness (see Table S3 available as Supplementary Data at Tree Physiology Online). These results support our first hypothesis that cortical thickness in absorptive roots governs the variation in root diameter among tree species. Several possible reasons may help to explain why cortical thickness determines root diameter. First, the root cortex accounts for a greater proportion of the cross-sectional area of Tree Physiology Volume 34, 2014 non-woody roots at the species level, as found by this and other studies (Esau 1977, Lux et al. 2004, Hummel et al. 2007, Guo et al. 2008). Second, root cortical thickness in woody plants may affect root diameter primarily by changing the number of cortical cell layers, as tree species with greater root cortical thickness have more cortical cell layers (Figure 3) in this study and others (Zadworny and Eissenstat 2011). Third, genetic factors may also contribute to the variation in root diameter. Recent studies of Arabidopsis roots found that two proteins, SHR (SHORT-ROOT) and SCR (SCARECROW), were key regulators of root radial patterning, including both periclinal and anticlinal divisions in cortical development (Di Laurenzio et al. 1996, Helariutta et al. 2000, Cui and Benfey 2009). Reports on crops also showed that roots of different rice and common bean genotypes had different diameters and numbers of cortical cell layers (Lynch and van Beem 1993, Lafitte et al. 2001, Burton et al. 2013). Our results suggest that the variation in root diameter of the 50 tree species studied should reflect the Downloaded from http://treephys.oxfordjournals.org/ by guest on November 7, 2016 Figure 2. Correlations between root diameter and stele diameter in the first three orders among 27 tropical and 23 temperate tree species in China. Tree root diameter variation and phylogeny 421 differences not only in root anatomy but also in phylogenetic lineage (see the discussion below). Root morphology and anatomy during evolution Root morphology is closely linked to phylogeny (Comas and Eissenstat 2009). Comas et al. (2012) suggested that such a linkage should be an indication of the evolutionary adaptation of root traits to long-term environmental changes in geological time. Previous studies with extant tree species have found that early-divergent species on the phylogenetic tree commonly had thicker roots than late-divergent species (Pregitzer et al. 2002, Comas and Eissenstat 2009, Comas et al. 2012). Recently, Chen et al. (2013) reported that the root diameter of angiosperm species at the family level significantly correlated with divergence time during the period of 120–20 MYBP. Our estimated pattern of variation for root diameter (Figure 6a) was consistent with the findings of Chen et al. (2013). More importantly, our study found that all three anatomical traits (root cortical thickness, stele diameter and number of cortical cell layers) had similar thresholds of divergence time to that of diameter, which suggests that all these traits share similar trends of variation in geological time (Figure 6b–d). This finding was also supported by the significant correlation between root diameter and anatomical traits when the phylogenetic influence was removed (see Table S3 available as Supplementary Data at Tree Physiology Online). Thus, as predicted by our second hypothesis, the variation in tree root diameter is likely to be associated with changes in anatomical structure during species radiation in geological time. Patterns of evolution of root morphological traits were likely related to global climate changes during the past 120 million years, as proposed in some studies (e.g., Comas et al. 2012, Chen et al. 2013). From the Cretaceous to the Tertiary, angiosperm species occurred and radiated worldwide (Li and Tree Physiology Online at http://www.treephys.oxfordjournals.org Downloaded from http://treephys.oxfordjournals.org/ by guest on November 7, 2016 Figure 3. Correlations between root cortical thickness and number of cortical cell layers in the first three orders among 27 tropical and 23 temperate tree species in China. 422 Gu et al. Figure 5. Average diameter (a) and cortical thickness (b) of firstorder roots at the family level in phylogeny structure based on the Angiosperm Phylogeny Group III classification. Tree Physiology Volume 34, 2014 Johnston 2000, Crepet et al. 2004, Brodribb and Feild 2010), while the atmospheric carbon dioxide (CO2) concentration and temperature gradually declined (Savin 1977, Kerp 2002, Retallack 2002). Such changes led to a relative decrease in precipitation and an increase in the degree of drought (Tardy et al. 1989, Beerling 1999). From the mid-Cretaceous to the late Tertiary (~120–10 MYBP), extant species showed that newly diverged angiosperm species decreased not only in root diameter (Comas et al. 2012, Chen et al. 2013, this study) but also in cortical thickness and number of cortical cell layers (this study), which may enable roots to take up soil nutrients and water more efficiently (Comas et al. 2012). Other evidence also suggests that thinner roots with a thin cortex generally have high absorptive capacity (Eissenstat and Yanai 1997, Rieger and Litvin 1999, Wells and Eissenstat 2003, Hishi 2007). On the other hand, leaf stomatal and vein densities in woody plants increased concomitantly with long-term gradual declines in atmospheric CO2 to enhance their capacity for photosynthetic CO2 uptake (Royer 2001, Brodribb and Feild 2010), which in turn may have induced the corresponding changes in root morphology and anatomy (Comas et al. 2012, Chen Downloaded from http://treephys.oxfordjournals.org/ by guest on November 7, 2016 Figure 4. Typical anatomical structures of first-order roots in Eurya ciliata (a), A. hainanensis (b), B. platyphylla (c) and P. amurense (d). CO, cortex; EP, epidermis; EX, exodermis; HS, hyphal sheath; VC, vascular cylinder; D, diameter; CT, cortical thickness; NC, number of cortical cell layers. Tree root diameter variation and phylogeny 423 Downloaded from http://treephys.oxfordjournals.org/ by guest on November 7, 2016 Figure 6. Relationships between first-order root traits and divergence time (MYBP) for angiosperm tree species at the family level: (a)–(d) piecewise regression between root traits and divergence time; (e)–(h) PIC correlation between root traits and divergence time. et al. 2013). Thus, the co-evolution between leaf and root traits could be an important evolutionary strategy for late-diverging terrestrial species to adapt to selective pressures associated with global environmental changes during the past 100 million years (Raven and Edwards 2001, Westoby and Wright 2006, Comas et al. 2012). The results of this study showed that stele diameter was not significantly correlated with divergence time (Figure 6c). One possible reason may be that the root stele is entirely surrounded by cortex. In absorptive roots, the cortex is considered to be a ‘buffer zone’ to partially isolate the stele from environmental stresses (Lux et al. 2004) such as drought (Kondo et al. 2000), heavy-metal contamination (Reinhardt and Rost 1995) and salinity (Enstone et al. 2003). In such cases, the stele may be less sensitive to environmental changes and may show relatively small variation. Another reason is that the stele seems to have been to be highly conserved in evolution (Sachs 1993, Roth and Mosbrugger 1996, Seago and Fernando 2013). For Tree Physiology Online at http://www.treephys.oxfordjournals.org 424 Gu et al. Conclusion The current study demonstrates that cortical thickness in absorptive roots may be the most important factor influencing diameter size in both tropical and temperate trees. Cortical thickness explained over 90% of the variation in root diameter for the first order, and over 80 and 70% for the second and third orders. Thicker roots generally showed greater cortical thickness and more cortical cell layers than thinner roots. Among extant tree species, root diameter and two anatomical traits (cortical thickness and number of cortical cell layers) showed significant correlations with divergence time, exhibiting similar trends. Our results suggest that the variation in tree root morphological traits should be associated with the change in anatomical structure during species radiation in geological time. Supplementary data Supplementary material is available at Tree Physiology online. Acknowledgments The authors thank Xing Wei, Sen Song, Wei Shi, Ying Liu, Jinliang Liu and Haibo Chen for their help with field and laboratory work, and Dr Dongmei Jin, Jinlong Zhang and Peili Fu for their help with statistical analysis. They also thank two anonymous reviewers for comments and suggestions, which improved the manuscript, and Dr Harbin Li for editing the manuscript and insightful comments. Tree Physiology Volume 34, 2014 Conflict of interest None declared. Funding This research was supported by the National Basic Research Program of China (973 Program: 2012CB416906), the Natural Science Foundation of China (31100470 and 30130160) and the Program for Changjiang Scholars and Innovative Research Team in University (IRT1054). References APG (Angiosperm Phylogeny Group) (2009) An update of the angiosperm phylogeny group classification for the orders and families of flowering plants: APG III. Bot J Linn Soc 161:105–121. Baddeley J, Watson C (2005) Influences of root diameter, tree age, soil depth and season on fine root survivorship in Prunus avium. Plant Soil 276:15–22. Beerling DJ (1999) Increased terrestrial carbon storage across the Palaeocene–Eocene boundary. Palaeogeogr Palaeoclimatol Palaeoecol 161:395–405. Brodribb TJ, Feild TS (2010) Leaf hydraulic evolution led a surge in leaf photosynthetic capacity during early angiosperm diversification. Ecol Lett 3:175–183. 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