AOBPreview originally published online on September 18, 2007
Annals of Botany 2007 100(6):1287-1296; doi:10.1093/aob/mcm207
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Comparing Morphological Plasticity of Root Orders in Slow- and Fast-growing Citrus Rootstocks Supplied with Different Nitrate Levels
Dipartimento di Biotecnologie per il Monitoraggio Agro-alimentare ed Ambientale (BIOMAA), Università Mediterranea di Reggio Calabria, Facoltà di Agraria – Loc. Feo di Vito, I-89060 Reggio Calabria, Italia
* For correspondence. E-mail asorgona{at}unirc.it
Received: 16 May 2007 Returned for revision: 28 June 2007 Accepted: 16 July 2007 Published electronically: 18 September 2007
| ABSTRACT |
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Background and Aims: Studies of the plasticity of functional root traits involved in resource acquisition have focused mainly on root length without considering such morphological components as biomass allocation, specific root length, root fineness, and tissue density that affect root length. The plasticity of the above components in response to nitrate supply was studied in each root order of two co-generic citrus rootstocks, namely the fast-growing Citrus jambhiri Rough Lemon (RL) and the slow-growing Citrus reshni Cleopatra Mandarin (CM).
Methods: Morphological traits of individual root orders of CM and RL, grown at different nitrate levels (NO3-N at 0·1, 0·5, 1 and 10 mM) were examined by using an image-specific analysis system.
Key Results: At high nitrate levels, the root length ratio, root mass ratio and, to a lesser degree, specific root length, root fineness and tissue density of tap and 1st-order laterals in both CM and RL were reduced. In 2nd-order laterals, however, the same treatment led to increased values of each morphological trait in CM but decreased values of the same traits in RL. At low nitrate supply, CM exhibited longer tap roots whereas RL developed longer 2nd-order laterals. These effects were due to root mass ratio and, to a lesser extent, specific root length.
Conclusions: Biomass allocation was the main component of nitrate-induced changes in root length ratio. The 2nd-order laterals were more sensitive to nitrate availability than the tap root and 1st-order laterals. At low nitrate availability, RL displayed longer 2nd-order lateral roots and lower root plasticity than CM. This suggests a different root growth strategy among citrus rootstocks for adapting to nitrate availability: RL invests in 2nd-order laterals, the preferred zone for acquiring the nutrient, whereas CM responds with longer tap roots.
Key words: Root morphology, root orders, phenotypic plasticity, nitrate, Citrus jambhiri, Citrus reshni
| INTRODUCTION |
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Competition among roots for below-ground resources is a major factor that influences spatial and temporal distribution of plant species in many natural and semi-natural ecosystems through its influence on acquisition of nutrients in different agro-ecosystems (Gerry and Wilson, 1995; Cahill, 1999; Rajaniemi et al., 2003). Within soil, nutrients are distributed unevenly both in space and time (Caldwell, 1994) and, consequently, plants have developed mechanisms to modify their root morphology and physiology in response to availability of nutrients. Such plant plasticity is strongly associated with many functional root traits including root elongation (Cahill and Casper, 2000) and its spatial influence (Casper et al., 2003), root architecture (Fitter et al., 2002), mycorrhyzal symbiosis (Smith and Read, 1997) and uptake capacities (Caldwell et al., 1985). Studies on plasticity of functional root traits involved in nutrient acquisition have focused mainly on root length, a morphological parameter that best describes the capacity of the root to explore the soil (Ryser, 1998). Root proliferation in response to deficiency of such nutrients as nitrate, ammonia and inorganic phosphate – the major growth-limiting nutrients for plants in nutrient-poor soils – has been the most investigated functional root trait. Nitrate, both an essential nutrient and a signal for plant growth (Crawford, 1995), exerts two contrasting effects on the development of lateral roots in many plant species: a uniformly distributed high nitrate supply inhibits elongation of lateral roots (the systemic effect) whereas patchy distribution of nitrate in soil stimulates the growth of lateral roots in nitrate-rich patches (the localized effect) (Zhang and Forde, 1998; Linkohr et al., 2002; Walch-Liu et al., 2006). The systemic effect depends on the N-status of the plant and is mediated by a plant hormone, namely abscisic acid (Signora et al., 2001), whereas the localized effect is controlled by external nitrate concentrations (Zhang and Forde, 1998; Remans et al., 2006). Proliferation of lateral roots increases the plant's ability to acquire nitrate when plants compete for this anion (Hodge et al., 1999; Robinson et al., 1999), but has no effect on the plant's fitness in terms of seed production (Fitter et al., 2002). In spite of the above well-known biochemical mechanisms and their ecological role, information on variations in the morphological components of root length in response to nitrate availability is sparse. The change of root length ratio (RLR), i.e. root length per unit of the plant's dry mass, is determined by different morphological components: relative allocation of biomass to the root [root mass ratio (RMR) and specific root length (SRL, root length per unit root dry weight)], which, in turn, depends on root fineness (root length per unit root volume) and tissue density (root dry mass per unit root volume) (Ryser, 1998). Therefore, plants may produce longer roots either by increasing biomass allocation to the roots, as demonstrated under a low supply of nitrogen (Ryser and Lambers, 1995; Sorgonà et al., 2005) or by increasing root fineness and/or reducing root tissue density, leaving biomass allocation unchanged (Ryser, 1998). In particular, in slow-growing grasses, high root tissue density, associated with a larger proportion of vascular tissue and vessels showing small diameters and thick cell walls (Wahl and Ryser, 2000) confers on roots a higher capacity to transport nutrients. In woody species, on the other hand, this capacity is determined by SRL (Comas et al., 2002; Comas and Eissenstat, 2004). Such kinds of adjustments, defined as root morphological plasticity, allow plants to adapt to non-uniform distribution of soil resources (Sultan, 2000).
So far, most studies on plasticity of root morphology in response to availability of nitrate have been carried out on the whole root system without considering the contribution of different root orders, which are distinct genetically, developmentally and functionally (Zobel, 1995; Waisel and Eshel, 2002). Furthermore, the limited data available on the behaviour of root orders in response to nitrate availability (Zhang et al., 1999; Linkohr et al., 2002; Sorgonà et al., 2005) do not cover the morphological components of root length. Therefore, the present work addressed the following two questions. (1) Which components, among biomass allocation and/or root shape (SRL, root fineness and tissue density), determine changes in length of each root order in response to nitrate supply? (2) Which root order is the more sensitive and/or plastic in response to changing nitrate supply?
The within-root system allocation (biomass allocation) and structural (SRL, fineness and tissue density) strategy, leads to a different level of efficiency in nitrate acquisition when the plant competes for this anion, and the choice serves to emphasize the concerted responses of different root orders and morphological traits as the basis of the plant's adaptation to variation in the availability of nitrate.
The theory of plant growth (Grime, 1977; Reich et al., 1997) predicts that slow-growing species promote resource conservation and stress tolerance, whereas fast-growing ones promote capture of soil resources. This latter functional ability is associated with greater root morphological plasticity (Fransen et al., 1998; Robinson and Van Vuuren, 1998;
iamporová et al., 1998; Comas et al., 2002; Comas and Eissenstat, 2004; Wright and Westoby, 2000) and low tissue density, which permit a longer root system (Ryser, 1998). Therefore, the root morphology of different root orders of the slow-growing Cleopatra Mandarin and the fast-growing Rough Lemon were compared to identify the morphological traits of each root order closely related to its potential growth rate.
| MATERIALS AND METHODS |
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Plant material and germination
Citrus jambhiri Rough Lemon (RL) and C. reshni Cleopatra Mandarin (CM) seeds were surface-sterilized for 20 min in 20 % sodium hypochlorite solution and germinated according to Chilembwe et al. (1992). The seeds were soaked in aerated deionized water at 35 °C for 2 d and then placed on germination paper moistened with 1 mM CaSO4 in a growth chamber maintained at a temperature of 24 °C and relative humidity of 70 % in the dark. When 80 % of the seeds germinated, the seedlings were maintained under the same environmental conditions with a 14-h photoperiod.
Growth conditions and treatment
The experimental design comprised completely randomized blocks with five replications. Each replicated block consisted of the two rootstocks and four levels of nitrate concentration. Since the block effect was non-significant (P > 0·05), the data were re-analysed as a 2 (rootstocks) x 4 (nitrate levels) factorial experiment with 5 replications per treatment.
Forty seedlings (2 rootstocks x 4 nitrate concentrations x 5 replications), 57 d old, selected for uniform size, were transplanted into 3-L pots (one plant per pot) filled with perlite (Perlite s.r.l., Milano). The seedlings were grown in a greenhouse for 75 d. Natural light was supplemented with 300 µmol m–2 s–1 photosynthetic photonic flux density (PPFD), artificial illumination, which yielded, at midday, an average of 1800 µmol m–2 s–1 PPFD on sunny days and 300 µmol m–2 s–1 PPFD on cloudy days. During growth of the seedlings, the temperature ranged from 24 °C to 34 °C. The seedlings were watered daily with 1 L of modified Hoagland solution (Hoagland and Arnon, 1950): 2·5 mM K2SO4, 2 mM MgSO4, 1 mM KH2PO4, 10 % (w/v) micronutrients and 10 % (w/v) FeEDTA. To obtain the four nitrate concentrations, namely 0·1, 0·5, 1 and 10 mM – the representative range of nitrate concentration commonly found in soil solution (Barber, 1995) – nitrate was added to the nutrient solution as Ca(NO3)2 and, to balance the calcium, 4·95, 4·75, and 4·5 mM CaSO4 was also added. The pH of nutrient solutions was adjusted to 6·0 with 0·1 N KOH.
Root morphology and biomass allocation
After 75 d of the treatment, when the seedlings were 132 d old, one seedling for each rootstock and nitrate level was collected and separated into shoot and root. Shoot dry weight (WS, g) was measured after drying in an oven at 70 °C for 48 h. The roots were divided into three orders: tap roots, emerging directly from the seed; 1st-order lateral roots formed from the tap root; and 2nd-order lateral roots emerging from the 1st-order roots. Each root was stained with 0·1 % (w/v) toludine blue O for 5 min and then scanned at a resolution of 300 dpi (WinRhizo STD 1600, Instruments Régent Inc., Canada) for determining the length of tap root (LT, cm), the total length of the 1st- (LI, cm) and 2nd-order lateral roots (LII, cm), the volume of the tap root (VT, cm3), and the total volume of 1st- (VI, cm3) and 2nd-order lateral roots (VII, cm3) by the WinRhizo Pro v. 4·0 software package (Instruments Régent Inc.). Then, dry weights of the tap root (WT, g) and the total dry weight of 1st-order (WI, g) and 2nd-order lateral roots (WII, g) were measured after drying in an oven at 70 °C for 48 h. The total root dry weight (WR, g) was the sum of WT, WI and WII, and the plant dry weight (WP, g) was obtained by the sum of WR and WS.
Based on the measurements above, the following parameters were calculated for each root order:
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The number of the 1st- (NI) and the 2nd-order lateral roots (NII) was counted directly from the images of each root order. The average length of the 1st- [
I = LI/NI] (cm) and the 2nd-order lateral roots [
II = LII/NII] (cm) was also calculated.
For each rootstock and nitrate concentration, five seedlings were collected at the time of transplanting (t1 = 57 d) and at the end of the nitrate treatment (t2 = 132 d) to calculate the relative growth rate (RGR, g g–1 d–1) according to Hunt (1982):
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Statistical analysis of data
The effects of rootstocks and nitrate levels on RGR were tested by two-way ANOVA. The data were checked for deviations from normality and homogeneity of variances prior to analysis. Tukey's post hoc test comparison was applied to test the effect of the rootstock for each nitrate level at P < 0·05.
Two-way ANOVA was performed for each parameter of root morphology and biomass allocation to test the effects of rootstock, nitrate level and rootstock x nitrate treatment interaction. In order to correct for allometric effects (Coleman et al., 1994), the ln-transformed plant dry weight (lnWP) was used as a covariate in analysing the parameters of root morphology and biomass allocation when significant correlations between lnWP and these root parameters were found. The data were checked for deviations from normality and homogeneity of variances prior to analysis and the necessary transformations were carried out.
The effects of rootstocks and nitrate levels on the number and average length of the 1st- and 2nd-order lateral roots were tested by two-way ANOVA. The data are checked for deviations from normality and homogeneity of variances prior to analysis. Tukey's post hoc test comparison was applied to test the effect of rootstock for each nitrate level and of nitrate level for each rootstock at P < 0·05.
The phenotypic plasticity index (PPI) was calculated as described by Valladares et al. (2002). In particular, for each root trait (Rtr), rootstock (Ro) and root order (Rty), the PPI was determined as the difference between the maximum and the minimum values among the four nitrate levels divided by the maximum value:
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Means (±s.e.) of PPI were calculated for five individual seedlings for each root trait, rootstock and nitrate level. Then, the effects of the rootstock, root order and root trait on the PPI were tested by three-way ANOVA. The data were checked for deviations from normality and homogeneity of variances prior to analysis.
Statistical analysis was conducted using the Systat v. 8·0 software package (SPSS Inc., Evanston, IL, USA).
| RESULTS |
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Root order morphology in response to nitrate supply
Nitrate affected the RLR of different root orders differently (Table 1 and Fig. 1). In particular, the RLR of the 1st-order laterals (RLRI) decreased with increasing nitrate level (–30 % and –21 % for RL and CM, respectively; Table 1 and Fig. 1B). Although no statistical differences were observed along the nitrate range for RLR of the tap root (RLRT) and RLR of 2nd-order lateral (RLRII) (Table 1), the significant interaction rootstock (Ro) x N (Table 1) indicated that increased supply of nitrate (a) reduced (–45 %) RLRT in CM but not in RL and (b) increased RLRII in CM (+81 %) and reduced it (–58 %) in RL (Fig. 1A and C).
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RLR is the product of two components, namely root mass ratio, i.e. biomass allocation towards roots, and specific root length, i.e. root length per unit dry mass. Increasing the nitrate level significantly reduced biomass allocation to the tap root, i.e. root mass ratio of tap (RMRT) (Table 1 and Fig. 2A), but had no effect on root mass ratio of the 1st- (RMRI) and 2nd-order lateral roots (RMRII) (Table 1). However, the opposite trend observed with root mass ratio of the 2nd-order laterals in response to nitrate supply among the citrus rootstocks masked the actual influence of this anion on this trait (significant interaction Ro x N, P = 0·006; Table 1 and Fig. 2C).
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Specific root length of tap root (SRLT) showed a slight decrease up to 1 mM nitrate while the pattern was just the opposite for 2nd-order lateral roots (SRLII) (Fig. 3A and C). Although nitrate did not influence SRL of the 1st-order laterals (SRLI), a weak significant interaction Ro x N was reported (P = 0·03; Table 1). Indeed, as nitrate supply increased, this parameter increased slightly in RL and decreased in CM (Fig. 3B).
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Specific root length is the ratio of two components, namely fineness, i.e. root length per unit volume, and tissue density, i.e. root biomass per unit volume. The fineness of the tap root (FT) and 1st- (FI) and 2nd-order lateral roots (FII) was not influenced by nitrate level (Table 1 and Fig. 4) but tissue density was sharply modified. Indeed, tissue density of the tap root (TDT) declined with increasing nitrate level in RL but not in CM (significant interaction P = 0·002; Table 1 and Fig. 5A). Increasing nitrate concentration had no effect on tissue density of the 2nd-order lateral roots (TDTII) either in CM or in RL (Table 1 and Fig. 5C); however, tissue density of the 1st-order lateral roots (TDTI) was differently affected in the two citrus rootstocks: the tissue density increased in CM (+17 %) and decreased in RL (–20 %) (Table 1 and Fig. 5B).
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Root order morphology of the citrus rootstocks
The RGR of RL was on average 24 % higher than that of CM at all nitrate levels (Table 2).
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Root length ratio of different root orders showed marked differences between the two rootstocks. Under low nitrate concentrations, CM exhibited a higher RLR of the tap than RL (significant interaction Ro x N; Table 1 and Fig. 1A) which, instead, displayed two-times longer 2nd-order laterals compared with CM (significant interaction Ro x N, P = 0·004, Table 1 and Fig. 1C). The length of the 1st-order laterals was similar in both rootstocks (Table 1 and Fig. 1B).
Table 3 shows that RL produced a greater number of 1st-order laterals than CM at all the nitrate levels with no significant difference in average length between the two. Conversely, the average length and number of 2nd-order laterals, especially at the lowest nitrate levels, were higher in RL than in CM (Table 3).
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At all the nitrate levels, CM allocated more biomass to the tap root (high RMR) than RL (Fig. 2A) but rootstock had no effect on biomass allocation to 1st- and 2nd-order lateral roots (Table 1 and Fig. 2B, C). This was due to the opposite patterns of RMR between the two rootstocks, particularly in the case of 2nd-order laterals, as demonstrated by the highly significant interaction (P = 0·006) (Table 1 and Fig. 2C). Indeed, at low nitrate levels, RL allocated more biomass towards 1st-order laterals (+40 %) and 2nd-order laterals (+85 %) than CM (Fig. 2C, D).
Specific root length of the tap root was higher (+50 %) in CM at all nitrate levels (Table 1 and Fig. 3A) whereas in RL it was higher in the 1st- and 2nd-order laterals at 1 mM and 0·1 mM nitrate, although the latter observation is not supported by statistical analysis (significant interaction Ro x N; Table 1 and Fig. 3B, C).
At all nitrate levels, the tap root was thinner (+46 %) in CM (Table 1 and Fig. 4A) but the two rootstocks did not differ in the fineness of their higher order lateral roots (Table 1 and Fig. 4B, C), although a slightly significant interaction Ro x N was observed for FI and FII (root fineness of 1st- and 2nd-order laterals, respectively) (Table 1). Indeed, at low nitrate concentrations, CM showed thinner 1st-order laterals compared with RL, with the opposite occurring for the 2nd-order laterals (Fig. 4B, C).
At 0·1 mM and 0·5 mM nitrate, TDT was slightly higher in RL (Table 1 and Fig. 5A). Conversely, CM showed a higher value of TDI only at 1 mM nitrate, yielding a significant interaction (Table 1 and Fig. 5B). The tissue density of 2nd-order laterals did not vary with the rootstock (Table 1 and Fig. 5C).
Root order morphological plasticity of citrus rootstocks
The PPI was evaluated in order to understand the different intensities of response to nitrate availability between root orders, root traits and citrus rootstocks. Among root traits, RLR and RMR were more plastic than fineness and tissue density, which exhibited the lowest PPI (Fig. 6). Regardless of rootstock, the 2nd-order laterals were the most plastic (Fig. 6). However, the significant interaction Rty x Rtr (P < 0·05; Fig. 6), indicated that the PPI of the 2nd-order lateral roots was higher for RLR and RMR and, at a low statistical significance, for tissue density as well. CM showed more plastic root morphology (Fig. 6), essentially due to the 2nd-order laterals (significant interaction Ro x Rty, P < 0·001), for all root traits.
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| DISCUSSION |
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Root order morphology in response to nitrate supply
The root system comprises different root orders or classes, which respond differently to environmental cues (Waisel and Eshel, 2002). Understanding the specific morphological responses of each root class to nitrate supply could help to predict plant distribution and adaptation in response to nitrogen availability. In the present work, nitrate availability affected the RLR of each root order differently: increasing nitrate supply reduced the RLR in 1st-order laterals whereas it remained apparently unaffected in tap roots and 2nd-order laterals. However, the significant Ro x N interaction for RLR of the tap root and 2nd-order laterals masked the actual effect of nitrate on these root orders. Furthermore, the 2nd-order laterals were found to be the most sensitive to nitrate supply, as indicated by their PPI (averaging 0·785), which was higher than that of tap roots (0·53) or of 1st-order laterals (0·385). This sensitivity may be the mechanism behind the ecological role of the 2nd-order laterals, and that of higher root orders generally, of increasing the plant's ability to take up water and nitrate, as reported by Lazof et al. (1992) and Peterson and Enstone (1996).
However, the question of which morphological components among biomass allocation and/or SRL and its components contributes the most to variation in RLR of each root order in response to nitrate availability remains open. The present results suggest that the change in RLR of each root order in response to nitrate availability could be due to the variation in RMR both quantitatively (in terms of the degree of variation) and qualitatively (in terms of the direction of variation), more than those in SRL and its components. Such an idea is also reinforced by the higher PPI of RMR in both the citrus rootstocks (0·59 in RL and 0·50 in CM) than that of SRL (0·36 in RL and 0·50 in CM). Such differences are even more evident in the 2nd-order laterals for which the PPI values for RMR (0·83 in CM and 0·67 in RL) are almost double those for SRL (0·45 in CM and 0·38 in RL). Taken together, the above results suggest that (a) RMR is the morphological parameter responsible for nitrate-induced variation in RLR and, once again, (b) the most plastic response is observed in the 2nd-order laterals. Hence, N-deficiency preferentially alters the partition of root biomass (RMR) rather than such shape of biomass as SRL and its components, namely root fineness and tissue density. In support of the central role of RMR, it has been reported that in N-deficient plants, by increasing sink strength and photosynthate export, the root to shoot ratio is shifted in favour of the former and that decreasing nitrate levels and/or increasing carbohydrate concentration are the putative signals that drive such a shift (Reynolds and D'Antonio, 1996; Améziane et al., 1997).
Finally, the greater sensitivity of the 2nd-order lateral roots to availability of nitrate, in terms of RMR, poses another question: Why do higher order roots display a greater variation than the tap root in biomass allocation? The source/sink relationships described by Poiseuille's equation allows biomass partitioning among the root branches to be predicted within a given root system by a combination of the branching order and the distance of a branch from the source (Farrar and Williams, 1991). Indeed, Aguirrezabal et al. (1993) showed in sunflower that roots of lower branching orders have the priority in carbon allocation, which ensures that the tap root elongates faster than the laterals. In this respect, it could be supposed that, in response to nitrate supply, the 2nd-order laterals modify their RMR value (higher plasticity) more than the tap root and the 1st-order laterals, both of which have a higher priority in biomass allocation.
In conclusion, although based on a single experiment, the present work highlights the relevant contribution of 2nd-order lateral roots in making the whole root system more plastic in response to nitrate availability. Therefore, the plant's ability to modify its 2nd-order lateral roots helps in optimizing the structures devoted to capturing resources, thus increasing the plant's adaptive efficiency to the nitrate availability.
Root order morphology of citrus rootstocks
RL and CM showed marked differences in their RGR (averaging 0·031 g g–1 WP for RL and 0·024 g g–1 WP for CM) and nitrate use efficiency (Sorgonà et al., 2006), although the lengths of their entire root system were similar (data not shown). Since root length is a key trait for acquiring soil resources (Ryser, 1998), how do similar root lengths explain the differences in plant growth rate and nitrate use efficiency between the two citrus rootstocks? Such apparent contradiction might be explained by analysing the contribution of different root orders to the whole root system. In this respect, RL showed a higher RLR and a larger number of 2nd-order laterals with respect to CM, which, on the contrary, showed a higher RLR of the tap root, especially at low nitrate levels. In other words, the slow-growing CM increased its rooting depth at the expense of root spread, compared with the fast-growing RL, which invested more in higher-order laterals. This difference may have an important functional role in terms of nitrate uptake since the laterals are characterized by high nitrate absorption capacity (Lazof et al., 1992). In Citrus species, investing in even higher orders may have a prominent adaptive significance, since the 2nd-order laterals have a larger number of passage cells (Eissenstat and Achor, 1999), and are the preferred sites of water and nutrient uptake (Peterson and Enstone, 1996), compared with low root orders. Therefore, the structurally different root systems of CM and RL may account for diverse functional and adaptive efficiencies to nitrate availability, making the root system of the latter more competitive for nitrate acquisition, especially at scarce soil nitrate levels.
Conversely, at a non-limiting nitrate level (10 mM), CM and RL show a significantly different behaviour as far as the tap root is concerned, but not that of the 1st- and 2nd-order laterals, in all morphological traits. This difference probably reflects the different functional roles of root orders: the tap root, as the embryonic root, is strongly dependent on the genotype while the 1st- and 2nd-order laterals, as post-embryonic roots, are involved in nutrient acquisition and, hence, more sensitive to such environmental conditions as nutrient stress.
Which morphological components drives the variation in length of different root orders in the two rootstocks? Under low nitrate availability (0·1 mM and 0·5 mM), the greater elongation of 2nd-order laterals in RL is essentially due to the variation of RMR (85 % and 95 % of the differences among the rootstocks at 0·1 mM and 0·5 mM nitrate, respectively) rather than SRL (only 65 % at 0·1 mM nitrate). Furthermore, the change in RMR (37–59 %) exceeds that in SRL as a determinant of the longer tap root of CM. These results are strengthened by the higher PPI of RMRII (0·68 in RL and 0·83 in CM) than that of SRLII (0·38 in RL and 0·45 in CM) and of RMRT (0·44 in RL and 0·46 in CM) than that of SRLT (0·44 in RL and 0·37 in CM). Hence, RMR, once again, is more important than SRL in determining a higher RLR of tap roots and 2nd-order laterals in CM and RL, the slow- and fast-growing rootstocks, respectively. Nevertheless, RL allocates greater biomass to higher order laterals, the primary function of which is resource acquisition. Furthermore, since the 2nd-order laterals require a lower biomass investment per unit of root length, the increased length of these root orders in RL, the fast-growing rootstock, imposes a lower cost in terms of biomass allocation at the whole root system level when compared with CM, the slow-growing rootstock.
Another aspect that differentiates between the fast- and slow-growing species at the level of the whole root system is the higher RMR and lower tissue density in fast-growing species of grasses (Ryser and Lambers, 1995; Wahl and Ryser, 2000) but not in woody species (Wright and Westoby, 2000; Comas et al., 2002). Such discrepancy may be traced to the fact that they estimated the average RMR and tissue density, which may well have masked the high morphological variability among different root orders, especially in woody species, which have abundant sclerenchymatic tissue in their roots. Indeed, the fast-growing RL allocates more biomass towards the 2nd-order laterals, typically showing low tissue density, which results in lower RMR and tissue density at the whole root level compared with the slow-growing CM (data not shown). In this respect, RL seems to be able to allocate biomass optimally within its root system and to use this biomass better than CM. Hence, evaluating RMR and tissue density of different root orders, rather than analysing the whole root system, provides a clearer picture of the different adaptive strategies used by the two fast- and slow-growing citrus rootstocks when soil nutrients are in short supply.
Finally, the present work indicates that CM exhibits higher root plasticity than RL, although CM is less efficient in using nitrate (Sorgonà et al., 2006) and has lower RGR (present work). This points to an important question: does increased plasticity indicate lower productivity? It should be kept in mind, however, that plasticity has a cost in terms of maintenance, production, information and acquisition and this cost could limit the beneficial effects of greater plasticity, as pointed out by De Witt et al. (1998).
In conclusion, citrus rootstocks show two different root morphological strategies in terms of root morphology that allow the plant to adapt to changing nitrate availability: CM exhibits a deeper tap root and reduced branching whereas RL invests more in the 2nd-order laterals, which are the preferred root order for nutrient acquisition. Such different strategies – which come to light only when single root orders are evaluated – only reflect the slow- and fast-growing habits of the two citrus rootstocks studied here. This finding could acquire a more general significance only when more slow- and fast-growing woody species are studied, as reported on temperate tree species by Comas et al. (2002): variation in root traits between fast- and slow-growing species was probably related to differences in their strategies for acquiring soil resources because the greatest variation was found in first and second-order roots.
| ACKNOWLEDGEMENTS |
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Research was supported by an Italian MIUR-PRIN grant (2002) in the frame of the project entitled Acquisition of oxoanionic nutrients by crop plants: physiological and molecular analysis of the effect of modulators and interfering substances present in the rizosphere. We would like to thank the Istituto Sperimentale per l'Agrumicoltura of Acireale (CT) Italy for supplying citrus seeds.
| LITERATURE CITED |
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Aguirrezabal LAN, Pellerin S, Tardieu F. Carbon nutrition, root branching, and elongation: can the present state of knowledge allow a predictive approach at whole-plant level? Environmental and Experimental Botany (1993) 33:121–130.[CrossRef][Web of Science]
Améziane R, Cassan L, Dufoss C, Rufty TW, Limami AM. Phosphate availability in combination with nitrate availability affects root yield and chicon yield and quality of Belgian endive (Cichorium intybus). Plant and Soil (1997) 191:269–277.[CrossRef][Web of Science]
Barber SA. Soil nutrient availability: a mechanism approach (1995) New York, NY: Wiley & Sons.
Cahill JF. Fertilization effects on interactions between above- and below ground competition in an old field. Ecology (1999) 80:466–480.[CrossRef][Web of Science]
Cahill JF Jr, Casper BB. Investigating the relationship between neighbour root biomass and belowground competition: Field evidence for symmetric competition belowground. Oikos (2000) 90:311–320.[CrossRef][Web of Science]
Caldwell MM. Exploiting nutrients in fertile soil microsites. In: Exploitation of environmental heterogeneity by plants—Caldwell MM, Pearcy RW, eds. (1994) San Diego, CA: Academic Press. 325–347.
Caldwell MM, Eissenstat DM, Richards JH, Allen FM. Competition for phosphorus: differential uptake from dual-isotope-labeled soil interspaces between shrub and grass. Science (1985) 229:384–386.
Casper BB, Schenck HJ, Jackson RB. Defining a plant's belowground zone of influence. Ecology (2003) 84:2313–2321.[CrossRef][Web of Science]
Chilembwe EHC, Castle WS, Cantliffe DJ. Grading, hydrating and osmotically priming seed of four Citrus rootstocks to increase germination rate and seedling uniformity. Journal American Society of Horticulture Science (1992) 117:368–372.
iamporová M, Dekánková M, Ove
ka M. Root morphology and anatomy of fast- and slow growing grass species. In: Inherent variation in plant growth: physiological mechanisms and ecological consequences—Lambers H, Van Vuuren MMI, eds. (1998) Leiden: Backhuys Publishers. 57–69.
Coleman JS, McConnaughay KDM, Ackerly DD. Interpreting phenotypic variation in plants. Trends in Ecology and Evolution (1994) 9:187–191.[CrossRef]
Comas LH, Bouma TJ, Eissenstat DM. Linking root traits to potential growth rate in six temperate tree species. Oecologia (2002) 132:34–43.[CrossRef][Web of Science]
Comas LH, Eissenstat DM. Linking fine root traits to maximum potential growth rate among 11 mature temperate tree species. Functional Ecology (2004) 18:388–397.[CrossRef]
Crawford NM. Nitrate: nutrient and signal for plant growth. The Plant Cell (1995) 7:859–868.[CrossRef][Web of Science][Medline]
De Witt TJ, Sih A, Wilson DS. Costs and limits to benefits as constraints on the evolution of phenotypic plasticity. Trends in Ecology and Evolution (1998) 13:77–81.[CrossRef]
Eissenstat DM, Achor DS. Anatomical characteristics of roots of citrus rootstocks that vary in specific root length. New Phytologist (1999) 141:309–321.[CrossRef][Web of Science]
Farrar JF, Williams ML. The effects of increased atmospheric carbon dioxide and temperature on carbon partitioning, source sink relations and respiration. Plant, Cell and Environmental (1991) 14:819–830.[CrossRef]
Fitter AH, Williamson LC, Linkohr BI, Leyser HMO. Root system architecture determines fitness in an Arabidopsis mutant in competition for immobile phosphate ions but not for nitrate ions. Proceedings of the Royal Society of London (2002) 269:2017–2022.[Medline]
Fransen B, de Kroon H, Berendse F. Root morphological plasticity and nutrient acquisition of perennial grass species from habitats of different nutrient availability. Oecologica (1998) 115:351–358.[CrossRef]
Gerry AK, Wilson SD. The influence of initial size on the competitive responses of six plant species. Ecology (1995) 76:272–279.[CrossRef][Web of Science]
Grime JP. Evidence for the existence of three primary strategies in plants and its relevance to ecological and evolutionary theory. American Naturalist (1977) 111:1169–1194.[CrossRef][Web of Science]
Hoagland DR, Arnon DI. The water-culture method for growing plants without soil. California Agriculture Experimental Station Circular (1950) 347, 32.
Hodge A, Robinson D, Griffiths BS, Fitter AH. Why plants bother: root proliferation results in increased nitrogen capture from an organic patch when two grasses compete. Plant, Cell and Environment (1999) 22:811–820.[CrossRef]
Hunt R. Plant growth curves: the functional approach to plant growth analysis (1982) London: Edward Arnold.
Lazof DB, Rufty TW, Redinbaugh MG. Localization of nitrate absorption and translocation within morphological regions of the corn root. Plant Physiology (1992) 100:1251–1258.
Linkohr BI, Williamson LC, Fitter AH, Leyser HMO. Nitrate and phosphate availability and distribution have different effects on root system architecture of Arabidopsis. The Plant Journal (2002) 29:751–760.[CrossRef][Web of Science][Medline]
Peterson CA, Enstone DE. Functions of passage cells in the endodermis and exodermis of roots. Physiologia Plantarum (1996) 97:592–598.[CrossRef]
Rajaniemi TK, Allison VJ, Goldberg DE. Root competition can cause a decline in diversity with increased productivity. Journal of Ecology (2003) 91:407–416.[CrossRef][Web of Science]
Reich PB, Walters MB, Ellsworth DS. From tropics to tundra: global convergence in plant functioning. Proceedings of the National Academy of Sciences of the USA (1997) 94:13730–13734.
Remans T, Nacry P, Pervent M, Girin T, Tillard P, Lepetit M, Gojon A. A central role for the nitrate transporter NRT2·1 in the integrated morphological and physiological responses of the root system to nitrogen limitation in Arabidopsis. Plant Physiology (2006) 140:909–921.
Reynolds HL, D'Antonio C. The ecological significance of plasticity in root weight ratio in response to nitrogen. Plant Soil (1996) 185:75–97.[CrossRef][Web of Science]
Robinson D, Van Vuuren MM. Responses of wild plants to nutrient patches in relation to growth rate and life-form. In: Inherent variation in plant growth: physiological mechanisms and ecological consequences—Lambers H, Poorter H, Van Vuuren MMI, eds. (1998) Leiden: Backhuys Publishers. 237–257.
Robinson D, Hodge A, Griffith BS, Fitter AH. Root proliferation in nitrogen-rich patches confers competitive advantage. Proceedings of the Royal Society of London B (1999) 266:431–435.
Ryser P. Intra- and interspecific variation in root length, root turnover and the underlying parameters. In: Inherent variation in plant growth: physiological mechanisms and ecological consequences.—Lambers H, Poorter H, Van Vuuren MMI, eds. (1998) Leiden: Backhuys Publishers. 441–465.
Ryser P, Lambers H. Root and leaf attributes accounting for the performance of fast- and slow-growing grasses at different nutrient supply. Plant Soil (1995) 170:251–265.[CrossRef][Web of Science]
Signora L, De Smet I, Foyer CH, Zhang H. ABA plays a central role in mediating the regulatory effects of nitrate on root branching in Arabidopsis. The Plant Journal (2001) 28:655–662.[CrossRef][Web of Science][Medline]
Smith SE, Read DJ. Mycorrhizal symbiosis (1997) San Diego, CA: Academic Press.
Sorgonà A, Abenavoli MR, Cacco G. A comparative study between two citrus rootstocks: effects of nitrate on the root morpho-topology and net nitrate uptake. Plant and Soil (2005) 270:257–267.[CrossRef][Web of Science]
Sorgonà A, Abenavoli MR, Gringeri PG, Cacco G. A comparison of nitrogen use efficiency definitions in Citrus rootstocks. Scientia Horticulturae (2006) 109:389–393.[CrossRef]
Sultan SE. Phenotypic plasticity for plant development, function and life history. Trends in Plant Science (2000) 5:537–542.[CrossRef][Web of Science][Medline]
Valladares F, Balaguer L, Martinez-Ferri E, Perez-Corona E, Manrique E. Plasticity, instability and canalization: is the phenotypic variation in seedlings of sclerophyll oaks consistent with the environmental unpredictability of Mediterranean ecosystems? New Phytologist (2002) 156:457–467.[CrossRef][Web of Science]
Wahl S, Ryser P. Root tissue structure is linked to ecological strategies of grasses. New Phytologist (2000) 148:459–471.[CrossRef][Web of Science]
Walch-Liu P, Ivanov II, Filleur S, Gan Y, Remans T, Forde BG. Nitrogen regulation of root branching. Annals of Botany (2006) 97:875–881.
Waisel Y, Eshel A. Functional diversity of various constituents of a single root system. In: Plant roots: the hidden half—Waisel Y, Eshel A, Kafkafi U, eds. (2002) 3rd edn. New York, NY: Marcel Dekker. 157–174.
Wright IJ, Westoby M. Cross-species relationship between seedling relative growth rate, nitrogen productivity and root vs leaf function in 28 Australian woody species. Functional Ecology (2000) 14:97–107.[CrossRef]
Zhang H, Forde BG. An Arabidopsis MADS box gene that controls nutrient-induced changes in root architecture. Science (1998) 279:407–409.
Zhang H, Jennings A, Barlow PW, Forde BG. Dual pathways for regulation of root branching by nitrate. Proceedings of the National Academy of Sciences of the USA (1999) 96:6529–6534.
Zobel RW. Genetic and environmental aspects of roots and seedling stress. HortScience (1995) 30:1189–1192.
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