Skip to main content
Biology Letters logoLink to Biology Letters
. 2010 May 19;6(6):811–814. doi: 10.1098/rsbl.2010.0261

Do plants modulate biomass allocation in response to petroleum pollution?

Ming Nie 1,2, Qiang Yang 1, Li-Fen Jiang 1, Chang-Ming Fang 1, Jia-Kuan Chen 1,2, Bo Li 1,2,*
PMCID: PMC3001360  PMID: 20484231

Abstract

Biomass allocation is an important plant trait that responds plastically to environmental heterogeneities. However, the effects on this trait of pollutants owing to human activities remain largely unknown. In this study, we investigated the response of biomass allocation of Phragmites australis to petroleum pollution by a 13CO2 pulse-labelling technique. Our data show that plant biomass significantly decreased under petroleum pollution, but the root–shoot ratio for both plant biomass and 13C increased with increasing petroleum concentration, suggesting that plants could increase biomass allocation to roots in petroleum-polluted soil. Furthermore, assimilated 13C was found to be significantly higher in soil, microbial biomass and soil respiration after soils were polluted by petroleum. These results suggested that the carbon released from roots is rapidly turned over by soil microbes under petroleum pollution. This study found that plants can modulate biomass allocation in response to petroleum pollution.

Keywords: biomass allocation, 13CO2 pulse-labelling, petroleum pollution, photosynthesis, Phragmites australis

1. Introduction

Biomass allocation of plants is an important trait that constantly senses environmental changes (Hermans et al. 2006; Berendse & Moller 2009). Many studies have suggested that plants can adaptively respond to belowground stresses by altering biomass allocation to the belowground parts, to alleviate the stresses in a manner that optimizes the capture of soil nutrients and maximizes plant growth rate (Bonifas et al. 2005; Mahoney & Swanton 2008). However, the impacts of pollutants on plants' biomass allocation remain largely unknown. Understanding biomass allocation of plants in response to environmental pollution will enable us to better understand the mechanisms by which plants respond adaptively to an imbalance of resources and predict what plant features increase their fitness under environmental changes.

Petroleum pollution, as an important global change, has broadly threatened the environments of plants owing to human activities (Kingston 2002; Peterson et al. 2003). In China, for example, the area for petroleum exploration accounts for 3 per cent of the total land area and about 60 million tons of petroleum on average enters the soil every year (Liu et al. 2007). While several studies have documented that petroleum pollution has negative effects on plant growth, little is known about how biomass allocation of plants responds to petroleum pollution (Dowty et al. 2001; Culbertson et al. 2008). In this paper, we conducted a controlled study with the common plant Phragmites australis of how plants alter biomass allocation in response to varying petroleum concentrations. Phragmites australis was selected because of its tolerance to petroleum pollution and important ecosystem functions (Engloner 2009; Nie et al. 2009). According to a simple model of flux and fate of carbon from photosynthesis (electronic supplementary material, figure S1) (Kuzyakov et al. 1999), the 13C–CO2 pulse-labelling technique was used to investigate the allocation of photosynthetically fixed carbon in response to petroleum pollution.

2. Material and methods

Phragmites australis seeds were collected from the Shengli oilfield in Shandong Province, China (37°33′ N; 118°30′ E). The topsoil (0–20 cm) was sampled from a site with no history of previous petroleum pollution in the National Nature Reserve of the Yellow River Delta near the oilfield (Nie et al. 2009). Three treatments of petroleum-polluted soils were designated by mixing the soil with crude oil from the Shengli oilfield, i.e. control (0 mg kg−1), low pollution (6000 mg kg−1), and high pollution (12 000 mg kg−1). After emergence of the first euphylla, one seedling of P. australis was transferred to the centre of a pot filled with 228.15 g of prepared soil (dry weight). A total of 27 pots (three treatments × three replicates × two incubation times (24 h or 72 h after the initiation of pulse labelling) + three non-labelled pots (blank) for each treatment) were randomly placed in a growth chamber (14 h daytime period, light intensity 800 µ mol m−2 s−1, with daytime and night-time temperatures of 25°C and 20°C respectively). After two months growth, pots were transferred to the gas-tight system for pulse labelling (figure 1). Owing to the negative impacts of petroleum pollution on plant biomass (table 1), the upper chambers were designed at different heights, and thus created volumes of 875, 625 and 375 cm3 (the same basal area, 25 cm2), which were used to label plants growing in control, low-polluted and high-polluted soils, respectively. After CO2 concentrations fell to about 200 ppm (v/v) in the upper chambers, three pulses of 13CO2 at an interval of 2 h were applied from 9.00 h to 15.00 h (figure 1). Each pulse contained 400 ppm of 13CO2 (v/v) by mixing 1 ml of lactic acid (1.5 M) and 1 ml of NaH13CO3 solution (different contents according to the upper chambers' volumes; greater than 99 atom%, Cambridge Isotope Laboratories; Butler et al. 2004).

Figure 1.

Figure 1.

Sketch of experimental set-up used in this study. The gas-tight system consisted of independent upper and bottom chambers made from Plexiglas, and an installation for capturing soil respiration CO2.

Table 1.

Plant shoot and root biomass (dry weight), the root–shoot ratios and the 13C recoveries (expressed as the proportion of total supplied 13C) at different petroleum concentrations. (Values are means ± s.e. The same letters denote non-significant differences between treatments (p > 0.05).)

shoot biomass (g) root biomass (g) root–shoot 13C recovery (%)
control 0.194 ± 0.011a 0.071 ± 0.007a 0.364 ± 0.033c 52 ± 7a
low 0.051 ± 0.002b 0.024 ± 0.002b 0.462 ± 0.022b 58 ± 10a
high 0.023 ± 0.002c 0.015 ± 0.001c 0.671 ± 0.071a 50 ± 7a

Soils and plants were sampled at 24 and 72 h after the initiation of pulse-labelling. C and 13C contents in plant tissues, soils and microbial biomass (MBC) were determined by a mass spectrometer (MAT 253, Finnigan, Germany) coupled with an elemental analyser (FlashEA 1112, Finnigan, Italy; Bardgett et al. 2003). CO2 captured in an NaOH solution was quantified by titration, and then the solutions were freeze-dried for analysing 13C content through evolving CO2 by adding phosphoric acid in a Gasbench II Device (Finnigan; Landi et al. 2003). All 13C data were corrected from average values of blanks. The total 13C recovery expressed as the proportion of total assimilated 13C in total supplied 13C (Fan et al. 2008).

The effects of petroleum concentration on plant biomass and total recovery of 13C were examined using one-way ANOVA. The effects of petroleum concentration and incubation time on the 13C proportions in the total assimilated 13C in plant biomass, soil, soil respiration and MBC were examined using two-way ANOVA.

3. Results

(a). Plant biomass and recovery of 13C

Plant shoot (F = 352.59, p < 0.001) and root (F = 98.31, p < 0.001) biomass significantly decreased as petroleum concentration increased. However, the root–shoot ratio (F = 11.65, p < 0.001) significantly increased with increasing petroleum concentration (table 1). The total recovery of 13C did not vary significantly among treatments (F = 0.054, p = 0.948; table 1).

(b). 13C allocation to plant biomass

The 13C proportion in plant shoots expressed as the percentage of shoot 13C in the total assimilated 13C was significantly affected by petroleum concentration (table 2), and the 13C allocation to plant shoots decreased as petroleum concentration increased at both 24 (71–48%) and 72 h (69–29%) (figure 2a). Although incubation time did not significantly affect the 13C proportion in plant shoots (table 2), the decrease in the 13C proportion at 72 h relative to that at 24 h increased as petroleum concentration increased, i.e. control (−2%), low pollution (−4%), high pollution (−19%). Although petroleum concentration and incubation time did not significantly affect the 13C proportion in plant roots (table 2, figure 2b), the root–shoot ratio of 13C was significantly influenced by petroleum concentration and its interaction with incubation time (table 2). The root–shoot ratio of 13C increased as petroleum concentration increased at both 24 (0.36–0.64) and 72 h (0.33–1.12) (figure 2c).

Table 2.

Summary of two-way ANOVAs to test the effects of petroleum pollution and incubation time on the 13C proportions of total assimilated 13C in plant biomass, soil, microbial biomass (MBC) and soil respiration.

variables source of variation F p
shoot 13C proportion petroleum 16.593 p < 0.001
time 3.172 0.100
petroleum × time 1.405 0.283
root 13C proportion petroleum 2.232 0.150
time 0.145 0.710
petroleum × time 0.504 0.616
root/shoot of 13C petroleum 15.797 p < 0.001
time 4.715 0.051
petroleum × time 3.974 p < 0.05
soil 13C proportion petroleum 23.933 p < 0.001
time 14.175 p < 0.01
petroleum × time 3.557 0.061
MBC 13C proportion petroleum 21.260 p < 0.001
time 5.012 p < 0.05
petroleum × time 2.230 0.150
soil CO213C proportion petroleum 10.732 p < 0.01
time 2.087 0.174
petroleum × time 1.936 0.187

Figure 2.

Figure 2.

The proportions of total assimilated 13C in (a) plant shoots, (b) roots, (c) the root–shoot (R/S) ratio of assimilated 13C, (d) total soil carbon, (e) microbial biomass carbon (MBC) and (f) soil respiration (CO2) at different petroleum concentrations after being incubated for 24 and 72 h. Values are means ± s.e.

(c). 13C allocation in soil and respiration

Petroleum pollution and incubation time had significant effects on the total soil 13C proportion (table 2), and petroleum pollution increased 13C allocation to the soil at both 24 and 72 h (figure 2d). The 13C proportion in MBC was quite similar to the total soil 13C proportion in response to petroleum pollution and incubation time (table 2 and figure 2e). Petroleum pollution also had significant effects on the 13C proportion in soil 13C–CO2 respiration (table 2), which sharply increased with increasing petroleum concentration within 24 h (3–17%). At 72 h, a high 13C proportion in soil 13C–CO2 respiration occurred in high-polluted soil (33%) but not in control (6%) and low-polluted soils (9%) (figure 2f).

4. Discussion

Phragmites australis biomass significantly decreased under petroleum pollution, but the root–shoot ratio both in plant biomass and 13C increased with increasing petroleum concentration. Furthermore, assimilated 13C was found to be higher in soil, MBC and soil respiration after soils were polluted by petroleum. These results suggested that plants increased biomass allocation to its belowground parts, and carbon released from roots is rapidly turned over by soil microbes under petroleum pollution.

Being similar to the previous studies (Butler et al. 2004; Fan et al. 2008), the total 13C recoveries in this study ranged between 50 and 58 per cent (table 1). There was no significant difference in the 13C recovery among treatments from the same initial 13CO2 content (table 1); therefore our gas-tight system with different sizes of upper chambers was suitable for studying 13C allocation of plants under petroleum pollution.

In this study, we found that the root–shoot ratio in both biomass and 13C positively responded to petroleum pollution (tables 1, 2 and figure 2c), indicating that P. australis could allocate more biomass to roots in response to petroleum pollution. High 13C proportions in soil, MBC and respiration were also found in this study (figure 2), indicating that plants released a high proportion of biomass as root exudates to petroleum-polluted soils (Fan et al. 2008). Thus petroleum pollution appeared to not only promote the carbon allocation to plant roots but also enhanced the release of carbon from roots. These results provide evidence that plant biomass allocation also has profound effects on soil processes and microbial activities (Hogberg et al. 2001; Hogberg & Read 2006).

High 13C proportions in MBC and soil respiration also indicated that rapid turnover of soil resources occurred in petroleum-polluted soils (figure 2e,f) (Zhou & Crawford 1995; Caravaca & Roldan 2003). Furthermore, petroleum concentration had a greater effect than incubation time on the proportions of 13C in plants, soil, MBC and soil respiration (table 2), suggesting that transfer of the photosynthetically fixed carbon from shoots to the roots and into the soil was mainly petroleum-dependent and fast. These observations are consistent with the previous reports about rapid turnover of photosynthetically fixed carbon (Butler et al. 2004; Kastovska & Santruckova 2007).

In conclusion, our study suggests that plants, in response to petroleum pollution, increase biomass allocation to their belowground parts, and carbon released from roots is rapidly turned over by soil microbes. Our observed responses of plants to petroleum pollution are similar to those other belowground stresses (Nguyen 2003; Jones et al. 2004; Paterson et al. 2009). Therefore, this study suggested that plants can modulate biomass allocation in response to petroleum pollution.

Acknowledgements

This work was supported by the National Basic Research Programme of China (grant no. 2006CB403 305) to B.L., and the Innovative Foundation of graduate students of Fudan University (grant no. EYH1322131).

References

  1. Bardgett R. D., Streeter T. C., Bol R.2003Soil microbes compete effectively with plants for organic-nitrogen inputs to temperate grasslands. Ecology 84, 1277–1287 (doi:10.1890/0012-9658(2003)084) [Google Scholar]
  2. Berendse F., Moller F.2009Effects of competition on root-shoot allocation in Plantago lanceolata L.: adaptive plasticity or ontogenetic drift? Plant Ecol. 201, 567–573 (doi:10.1007/s11258-008-9485-z) [Google Scholar]
  3. Bonifas K. D., Walters D. T., Cassman K. G., Lindquist J. L.2005Nitrogen supply affects root : shoot ratio in corn and velvetleaf (Abutilon theophrasti). Weed Sci. 53, 670–675 (doi:10.1614/WS-05-002R.1) [Google Scholar]
  4. Butler J. L., Bottomley P. J., Griffith S. M., Myrold D. D.2004Distribution and turnover of recently fixed photosynthate in ryegrass rhizospheres. Soil Biol. Biochem. 36, 371–382 (doi:10.1016/j.soilbio.2003.10.011) [Google Scholar]
  5. Caravaca F., Roldan A.2003Assessing changes in physical and biological properties in a soil contaminated by oil sludges under semiarid Mediterranean conditions. Geoderma 117, 53–61 (doi:10.1016/S0016-7061(03)00118-6) [Google Scholar]
  6. Culbertson J. B., Valiela I., Pickart M., Peacock E. E., Reddy C. M.2008Long-term consequences of residual petroleum on salt marsh grass. J. Appl. Ecol. 45, 1284–1292 (doi:10.1111/j.1365-2664.2008.01477.x) [Google Scholar]
  7. Dowty R. A., Shaffer G. P., Hester M. W., Childers G. W., Campo F. M., Greene M. C.2001Phytoremediation of small-scale oil spills in fresh marsh environments: a mesocosm simulation. Mar. Environ. Res. 52, 195–211 (doi:10.1016/S0141-1136(00)00268-3) [DOI] [PubMed] [Google Scholar]
  8. Engloner A. I.2009Structure, growth dynamics and biomass of reed (Phragmites australis): a review. Flora 204, 331–346 (doi:10.1016/j.flora.2008.05.001) [Google Scholar]
  9. Fan F. L., Zhang F. S., Qu Z., Lu Y. H.2008Plant carbon partitioning below ground in the presence of different neighboring species. Soil Biol. Biochem. 40, 2266–2272 (doi:10.1016/j.soilbio.2008.05.003) [Google Scholar]
  10. Hermans C., Hammond J. P., White P. J., Verbruggen N.2006How do plants respond to nutrient shortage by biomass allocation? Trends Plant Sci. 11, 610–617 (doi:10.1016/j.tplants.2006.10.007) [DOI] [PubMed] [Google Scholar]
  11. Hogberg P., Read D. J.2006Towards a more plant physiological perspective on soil ecology. Trends Ecol. Evol. 21, 548–554 (doi:10.1016/j.tree.2006.06.004) [DOI] [PubMed] [Google Scholar]
  12. Hogberg P., Nordgren A., Buchmann N., Taylor A. F. S., Ekblad A., Högberg M. N., Nyberg G., Ottosson-Löfvenius M., Read D. J.2001Large-scale forest girdling shows that current photosynthesis drives soil respiration. Nature 411, 789–792 (doi:10.1038/35081058) [DOI] [PubMed] [Google Scholar]
  13. Jones D. L., Hodge A., Kuzyakov Y.2004Plant and mycorrhizal regulation of rhizodeposition. New Phytol. 163, 459–480 (doi:10.1111/j.1469-8137.2004.01130.x) [DOI] [PubMed] [Google Scholar]
  14. Kastovska E., Santruckova H.2007Fate and dynamics of recently fixed C in pasture plant-soil system under field conditions. Plant Soil 300, 61–69 (doi:10.1007/s11104-007-9388-0) [Google Scholar]
  15. Kingston P. F.2002Long-term environmental impact of oil spills. Spill Sci. Technol. Bull. 7, 53–61 (doi:10.1016/S1353-2561(02)00051-8) [Google Scholar]
  16. Kuzyakov Y., Kretzschmar A., Stahr K.1999Contribution of Lolium perenne rhizodeposition to carbon turnover of pasture soil. Plant Soil 213, 127–136 (doi:10.1023/A:1004566027237) [Google Scholar]
  17. Landi A., Mermut A. R., Anderson D. W.2003Origin and rate of pedogenic carbonate accumulation in Saskatchewan soils, Canada. Geoderma 117, 143–156 (doi:10.1016/S0016-7061(03)00161-7) [Google Scholar]
  18. Liu W. X., Luo Y. M., Teng Y., Li Z. G., Wu L. H.2007A survey of petroleum contamination in several Chinese oilfield soils. Soils 39, 247–251 [Google Scholar]
  19. Mahoney K. J., Swanton C. J.2008Nitrogen and light affect the adaptive traits of common lambsquarters (Chenopodium album). Weed Sci. 56, 81–90 (doi:10.1614/WS-07-086.1) [Google Scholar]
  20. Nguyen C.2003Rhizodeposition of organic C by plants: mechanisms and controls. Agronomie 23, 375–396 (doi:10.1007/978-90-481-2666-8) [Google Scholar]
  21. Nie M., Zhang X. D., Wang J. Q., Jiang L. F., Yang J., Quan Z. X., Cui X. H., Fang C. M., Li B.2009Rhizosphere effects on soil bacterial abundance and diversity in the Yellow River Deltaic ecosystem as influenced by petroleum contamination and soil salinization. Soil Biol. Biochem. 41, 2535–2542 (doi:10.1016/j.soilbio.2009.09.012) [Google Scholar]
  22. Paterson E., Midwood A. J., Millard P.2009Through the eye of the needle: a review of isotope approaches to quantify microbial processes mediating soil carbon balance. New Phytol. 184, 19–33 (doi:10.1111/j.1469-8137.2009.03001.x) [DOI] [PubMed] [Google Scholar]
  23. Peterson C. H., Rice S. D., Short J. W., Esler D., Bodkin J. L., Ballachey B. E., Irons D. B.2003Long-term ecosystem response to the Exxon Valdez oil spill. Science 302, 2082–2086 (doi:10.1126/science.1084282) [DOI] [PubMed] [Google Scholar]
  24. Zhou E., Crawford R. L.1995Effects of oxygen, nitrogen, and temperature on gasoline biodegradation in soil. Biodegradation 6, 127–140 (doi:10.1007/BF00695343) [DOI] [PubMed] [Google Scholar]

Articles from Biology Letters are provided here courtesy of The Royal Society

RESOURCES