Abstract
Although the beneficial role of silicon (Si) in stimulating the growth and development of many plants is generally accepted, our knowledge concerning the physiological and molecular mechanisms underlying this response remains far from comprehensive. Considerable effort has been invested in understanding the role of Si on plant disease, which has led to several new and compelling hypotheses; in unstressed plants, however, Si is believed to have no molecular or metabolic effects. Recently, we have demonstrated that Si nutrition can modulate the carbon/nitrogen balance in unstressed rice plants. Our findings point to an important role of Si as a signaling metabolite able to promote amino acid remobilization. In this article we additionally discuss the agronomic significance of these novel observations and suggest Si nutrition as an important target in future attempts to improve yields of agronomic crops.
Keywords: silicon (Si), signaling, metabolite profile, amino acid remobilization
Although silicon (Si) is not considered an essential element for higher plants, it has been proven to be beneficial for the healthy growth and development of many plant species, particularly graminaceous plants such as rice and sugarcane as well as some cyperaceous plants.1-4 Indeed, earlier studies on Si nutrition have reported the ability of Si to alleviate abiotic and biotic stresses by acting as a physical barrier against pathogens (and possibly insects) and also by inducing active defense mechanisms.5,6 In addition, the effect of Si on promoting disease resistance is well documented and biochemical explanations for the observed resistance have been revealed.7-9 The beneficial effects of Si are, therefore, most obvious in plants encountering stress situations,10 whereas in unstressed plants Si is believed to have a negligible effect on metabolism, suggesting a nonessential role for this element. However, accumulating evidence suggests a role for Si nutrition also in unstressed plants, as noted by the enhanced agronomic yields of crops such as rice upon Si fertilization.11
We have recently demonstrated that Si nutrition impacts the source-sink relationship and stimulates amino acid remobilization in rice.12 We demonstrated that Si-treated plants have reduced levels of several amino acids, a fact linked with an augmentation of the sink strength which was clearly mediated by Si nutrition with little, if any, impact on growth per se.12 Although Si did not affect the actual rate of 14C incorporation into amino acids (Table 1), our data support a role for Si nutrition in orchestrating amino acid remobilization. We observed a strong correlation between Si concentration and the levels of compounds intimately associated with respiration (isocitrate and 2-oxoglutarate), and a handful of amino acids (alanine, arginine, glutamine, ornithine, isoleucine, methionine and valine).12 When taken together, we clearly demonstrated that, at least under the conditions explored in our study, Si nutrition plays an important role in modulating the rate of flux from 2-oxoglutarate into amino acid metabolism, supporting the emergent view that amino acid metabolism is a tightly and intricately controlled network.13,14 Accordingly, an increased incorporation of amino acids in storage proteins could be anticipated. This may also lead to transcriptional upregulation of plastidial branched-chain amino acid transaminase together with other aminotransferases, as previously observed.15 However, it should also be noted that all these amino acids have recently been demonstrated to be efficient alternative respiratory substrates during carbon starvation and other situations of biotic stress.16,17.
Table 1. The effects of silicon (Si) supply (0 or 2 mM: –Si or +Si, respectively) and grain load (0 or full grain burden: –G and +G, respectively) on the actual rate of 14C incorporation into amino acids and enzyme activities (expressed as µmol g−1 FW min−1) in flag leaves of two rice genotypes [cv ‘Oochikara’ (WT) and the lsi1 mutant defective for Si uptake] grown in nutrient solutions. With the exception of PFK1 and PGA kinase, Si nutrition did not affect significantly all the parameters analyzed.
Parameters | WT |
|
lsi1 |
||||||||
---|---|---|---|---|---|---|---|---|---|---|---|
–Si |
|
+Si |
|
–Si |
|
+Si |
|||||
–G | +G | –G | +G | –G | +G | –G | +G | ||||
14C uptake (kBq g−1 h−1) |
241 ± 8 |
224 ± 10 |
|
206 ± 12 |
210 ± 8 |
|
234 ± 6 |
196 ± 10 |
|
186 ± 8 |
222 ± 14 |
Rubisco (initial activity) |
5.0 ± 0.4 |
5.3 ± 0.4 |
|
4.8 ± 0.5 |
8.5 ± 0.1 |
|
6.1 ± 0.1 |
5.5 ± 0.1 |
|
5.2 ± 0.8 |
4.7 ± 0.5 |
Rubisco (max. activity) |
8.2 ± 0.4 |
9.6 ± 0.3 |
|
8.8 ± 0.4 |
10.9 ± 0.7 |
|
9.4 ± 0.7 |
8.8 ± 0.2 |
|
8.2 ± 0.6 |
7.5 ± 0.4 |
NADP-GAPDH1 |
1.4 ± 0.1 |
1.2 ± 0.1 |
|
1.4 ± 0.2 |
1.7 ± 0.1 |
|
0.76 ± 0.1 |
1.1 ± 0.10 |
|
0.82 ± 0.0 |
0.73 ± 0.1 |
NAD-GAPDH |
3.4 ± 0.4 |
3.8 ± 0.5 |
|
4.0 ± 0.3 |
3.9 ± 0.4 |
|
2.4 ± 0.3 |
2.5 ± 0.3 |
|
2.2 ± 0.1 |
2.9 ± 0.9 |
PGM (x10−3) |
177 ± 59 |
473 ± 131 |
|
284 ± 49 |
410 ± 61 |
|
358 ± 68 |
329 ± 64 |
|
198 ± 78 |
327 ± 17 |
PGI |
5.3 ± 0.8 |
14.4 ± 4.0 |
|
8.2 ± 0.7 |
9.4 ± 1.9 |
|
8.6 ± 1.9 |
8.1 ± 1.8 |
|
8.0 ± 1.8 |
8.2 ± 0.4 |
PFK (x10−3) |
116 ± 9 |
92 ± 6 |
|
92 ± 12 |
73 ± 8 |
|
84 ± 10 |
89 ± 10 |
|
83 ± 8 |
61 ± 12 |
PGA Kinase (x10−3) |
1.6 ± 0.1 |
1.6 ± 0.2 |
|
1.8 ± 0.1 |
2.1 ± 0.1 |
|
1.6 ± 0.1 |
1.5 ± 0.1 |
|
1.6 ± 0.1 |
1.8 ± 0.1 |
NAD-MDH |
11.2 ± 1.1 |
23.1 ± 4.5 |
|
13.5 ± 1.6 |
19.4 ± 2.7 |
|
6.7 ± 1.6 |
15.0 ± 3.3 |
|
7.3 ± 2.1 |
18.4 ± 0.9 |
Aldolase (x10−3) |
4.0 ± 0.4 |
4.6 ± 0.5 |
|
4.6 ± 0.3 |
6.3 ± 0.5 |
|
3.9 ± 0.2 |
4.5 ± 0.4 |
|
3.9 ± 0.2 |
5.4 ± 0.48 |
Transaldolase (x10−3) |
26.1 ± 8 |
13.6 ± 3 |
|
30.1 ± 10 |
15.4 ± 1 |
|
35.2 ± 6 |
33.7 ± 7 |
|
45.0 ± 10 |
30.6 ± 7 |
TPI (x10−3) | 0.42 ± 0.04 | 0.39 ± 0.02 | 0.47 ± 0.04 | 0.49 ± 0.03 | 0.45 ± 0.04 | 0.47 ± 0.03 | 0.39 ± 0.02 | 0.48 ± 0.07 |
1GAPDH, glyceraldehyde-3-phosphate dehydrogenase; PGM, phosphoglucomutase; PGI, phosphoglucose isomerase; PFK, phosphofructokinase; PGA, phosphoglycerate; MDH, malate dehydrogenase; TPI, triose-phosphate isomerase.
Our recent results demonstrated that several amino acids (e.g., alanine, aspartate, ornithine and threonine), as well as the sugars glucose and fructose, accounted for by the main changes observed in primary metabolism of rice plants grown in presence of Si. It has also been suggested that amino acid export (as observed in our study) can be regulated by sucrose transport or metabolism18 since both sucrose and amino acid export to the sieve tube depend on the photosynthetic metabolism of the source cell.19 Thus, given the changes in the metabolite profile (Fig. 1) as well as that Si was able to increase photosynthetic rates it seems reasonable to assume that Si may directly impact the metabolite profile of rice, as noted for the low-Si mutant defective in Si uptake (lsi1), where a clear separation of the effects of Si from the effects of grain load on the metabolite profile could be demonstrated using multivariate canonical analysis. It is important to mention, however, that in many cases, reductions of enzyme/protein levels do not lead to significant metabolic alterations, probably due to the induction of compensatory mechanisms.20 However, this seems not to be the case in our study since in the lsi1 knockdown lines the leaf metabolite content was much more affected than in the corresponding WT controls. Indeed, the changes observed in leaf metabolism cannot directly be associated with changes in the transcript levels of enzymes21 or enzyme activities associated with Si nutrition (Table 1), suggesting either post-transcriptional regulation or mass-action/ allosteric regulation of enzyme activities are major factors underlying the metabolic changes observed in our recent study.12 By sharp contrast, K deficiency has been associated with enzyme regulation at the levels of both mRNA and protein by maintaining carbon flux into amino acids and proteins and decreasing the carbon/nitrogen ratio of the total amino acid pools.22 Returning to Si, our data suggest that this mineral may act as a signal to promote amino acid remobilization similarly to the situation observed with diseased rice plants, in which Si nutrition may trigger mechanisms of host resistance via alterations in plant metabolism.23 Support for this assumption comes from a recent study demonstrating that Si nutrition can modulate the expression of a leucine-rich repeat (LRR) family protein24 and can play a central role in perceiving the, as yet uncharacterized, Si signal. LRR proteins belong to the receptor-like kinase (RLK) family, a major protein family with more than 1100 members in rice.25 Notably, plant RLKs characterized to date have been implicated in diverse biological processes, including development, the self-incompatibility response, pathogen responses, as well as responses to several environmental stresses.26 In addition, a considerable impact of Si supply was previously observed on the transcript levels of LRR-RLK genes,24 highlighting the possibility that this regulatory protein plays a central role either in Si signal perception, or in the promotion of metabolic alterations following this event, or both. Collectively, this information highlights the importance of Si nutrition as a potential target to enhance the agronomic yields of crops such as rice.
In summary, we provided compelling evidence that Si likely plays an as yet unknown function in rice metabolism, even under unstressed conditions. Our recent results12 suggest that Si-mediated metabolic alterations are a complex phenomenon that is clearly worthy of more detailed analysis at both molecular and biochemical levels.
Acknowledgments
This research was supported by the Foundation for Research Assistance of the Minas Gerais State, Brazil (FAPEMIG, Grant APQ-02260–11) and by the National Council for Scientific and Technological Development, Brazil (CNPq, Grant 302605/2010–0) to FMD.
Disclosure of Potential Conflicts of Interest
No potential conflicts of interest were disclosed
Footnotes
Previously published online: www.landesbioscience.com/journals/psb/article/22523
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