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African Crop Science Journal
African Crop Science Society
ISSN: 1021-9730 EISSN: 2072-6589
Vol. 8, Num. 1, 2000, pp. 85-91
African Crop Science Journal, Vol

African Crop Science Journal, Vol. 8. No. 1, pp. 85- 91, 2000

SHORT COMMUNICATION

PROLINE ACCUMULATION IN RESPONSE TO DROUGHT AND HEAT STRESS IN COTTON

J.A. de Ronde, A. van der Mescht and H.S.F. Steyn

ARC - Roodeplaat Vegetable and Ornamental Plant Institute, Private Bag X293, Pretoria, 0001, Republic of South Africa

(Received 20 April, 1998; accepted 2 June, 1999)

Code Number: CS00008

ABSTRACT

Water and heat stress are the most important environmental variables affecting cotton growth and development. The main objective of our study was to evaluate the effect of water stress and a combination of water and heat stress on proline accumulation in six cotton cultivars (Gossypium hirsutum) and to determine the suitability of using this proline accumulation in a drought index. Drought and a combination of drought and heat stress were induced in three-week-old seedlings in the greenhouse. It was detected that with decreasing water content there was a progressive increase in free proline in all six cultivars, as well as differences in the proline level between the different cultivars. Maximum accumulation of free proline in drought stressed cotton occurred at 11 days without water. The combination of heat and drought stress exhibited an increase in proline concentrations in five cultivars. Different proline profiles were observed for the different treatments and different mechanisms for heat and drought are proposed for this phenomenon.

Key Words: Drought stress, Gossypium hirsutum, proline

RÉSUMÉ

Les stresses hydrique et thermique sont les variables environnementaux les plus importants qui affectent la croissance et le développement du coton. L’objectif principal de notre étude était d’évaluer l’effet des stresses eau et une combinaison eau et chaleur, sur l’accumulation de proline dans six cultivars de coton (Gossypium hirsutum) et de déterminer la possibilité d’utiliser cette accumulation de proline dans un index de secheresse. La stresse hydrique et sa conbinaison avec la stresse thermique étaient induites chez les plantules de trois semaines d’âge en serre. Il a été détecté qu’avec une diminution du contenu hydrique, il y avait une augmentation progressive en proline libre dans les six cultivars, il en est de même pour les différences de niveau de proline entre les différents cultivars. L’accumulation maximum de proline libre dans le coton stressé de secheresse, est atteinte au 11me jour sans eau. La combinaison des stresses thermique et hydrique provoque une augmentation des concentrations en proline dans les cinq cultivars. Différents profils de proline étaient observés pour les différent traitements et différents méchanismes pour la chaleur et la sècheresse sont proposés pour ce phénoméne.

Mots Clés: Stresse hydrique, Gossypium hirsutum, proline

INTRODUCTION

Drought and heat are the major causes of reduced agricultural production world-wide. Limitations in water availability in the growth season can result in impaired growth and development of cotton plants (Reddy et al., 1991). High temperatures can affect phenology, leaf expansion and internode elongation and induce boll and flower bud abortion (Trolinder and Shang, 1991). The extensive accumulation of active oxygen species and their contribution to cell damage induced by water deficit is well known. In order to deal with this effect, plants have evolved a number of protective scavenging or antioxidant defence mechanisms. Apart from the enzymatic defence system (Bowler et al., 1992), the accumulation of free proline may also contribute to the scavenging of these active oxygen species by enhancing photochemical electron transport activities (Alia et al., 1991). Floyd and Nagy (1984) suggested that the accumulation of proline might contribute to the detoxification of the active oxygen species. Proline can affect the solubility of various proteins due to its interaction with hydrophobic residues on the protein surface (Schobert and Tschesche, 1978). The increase in the total hydrophilic area of the protein stabilises it by increasing its solubility in an environment of low water availability. The proposed role of proline as osmoregulator (Wyn Jones and Storeys, 1978) can be supported by the involvement of proline in the maintenance of membrane integrity as an adaptation to conditions of reduced water availability (Hare, 1995).

Under conditions of drought stress, proline is synthesised from glutamate due to a loss of feedback regulation in the proline pathway (Bogess and Stewart, 1980). This biosynthesis might be an adaptive mechanism to reduce the accumulation of NADPH, which increased as a result of the decrease in the photosynthetic rate of the plant (Berry and Bjorkman, 1980). This is a result of stomatal closure which leads to the intercellular decrease of CO2 as the leaf water stress increases. As the overall protein synthesis declines during drought stress (van der Mescht and De Ronde, 1993), proline biosynthesis may substitute for protein synthesis in the turnover of ATP and the oxidation of NADP (Hare, 1995). The rapid accumulation of free-proline in plant cells during drought stress is well documented for a number of crops. It was reported that drought tolerant barley genotypes showed higher proline accumulation during drought stress at the seedling stage than did the drought sensitive genotypes (Singh et al., 1972). Correlations between field performances and seedling tests encouraged speculation that free-proline accumulation during drought stress is an adaptive response that enhances survival. Proline accumulation appears to be solely controlled by tissue water status and is unaffected by tissue temperature up to 39°C in barley (Chu et al., 1974). It was also found in alfalfa that the progressive accumulation of proline was accompanied by a decline in tissue water potential (Irigoyen et al., 1992). These authors suggested that proline content might be useful as an indicator of drought-injury.

The main objective of our study was to evaluate the effect of water stress and a combination of water and heat stress on proline accumulation in six cotton cultivars (Gossypium hirsutum L.). A second objective was to analyse the suitability of proline accumulation as a drought index. These data could then be used to predict the susceptibility or tolerance of a cultivar to drought and heat stress.

MATERIALS AND METHODS

Growth conditions. Six cultivars namely, Sicala, Acala 1517-88, Alpha, Molopo, Delta Pine Acala 90 and OR19 were used in this study. The cotton cultivars were grown in a greenhouse under an optimal water and temperature regime. Plants were grown from seed in plastic pots containing 2.5 kg soil mixture and were watered three times a week (De Ronde et al., 1995).

Induction of stress. Three weeks after emergence of the seedlings two different stress treatments were induced. Withholding water from all the cultivars at the optimum temperature regime induced drought stress. A combination treatment was induced with a heat treatment of 40°C and no irrigation. The control plants were irrigated continuously at the optimum temperature regime.

The leaf on the third apical node was harvested every five days from stressed and control plants. The leaves were quick frozen with liquid nitrogen and freeze-dried immediately after sampling. Three replicates were analysed for each cultivar at each time interval.

Extraction and determination of proline. The method of Bates et al. (1973) was used. Samples of 100 µg freeze-dried cotton leaves were crushed in liquid nitrogen before adding 10 ml 3% sulphosalicylic acid. The supernatant was collected and vacuum infiltrated through a buchner funnel. Two ml acid ninhydrin and two acetic acid were combined with two ml of the filtrate. The samples were incubated for one hour in a boiling waterbath, and thereafter the reaction was terminated on ice. The reaction mixture was extracted with four ml toluene and vortexes for 15 to 20 seconds, before the toluene phase was aspirated. The absorbance was measured at 520 nm. The proline concentration was determined using a standard curve and expressed as µg proline/g dry weight using the following equation: ((µg proline/ml*ml toluene)/115.5µg/*mole)/(g sample/5))

Statistical analysis. The data were subjected to variance analysis (ANOVA) and least significant differences (P<0.05) which were calculated using statistic software (Statistica for Windows, Version 5) using untransformed data.

RESULTS AND DISCUSSION

Figure 1. Free proline analysis of six cotton cultivars subjected to a heat and/or drought treatment over time. a,b,c,d indicating significant difference (P<0.05) over time.

With decreasing water content there was a progressive increase in the free proline (Fig. 1 a-f). All the cotton cultivars accumulated free proline during a drought treatment compared to the control treatment, but with a definite genotypic difference. van Heerden and De Villiers (1996) observed a higher proline accumulation during drought stress in drought tolerant spring wheat cultivars, than in the more sensitive cultivars. Thus, we postulated that the cultivars Sicala, Acala 1517-88, and Alpha (Fig. 1a-c),which accumulated more proline under drought conditions than the cultivars Molopo, Delta Pine Acala 90 and OR19 (Fig. 1d-f), reacted as drought tolerant cultivars. This correlated with a previous study (De Ronde and van der Mescht, 1997) using TTC viability assay as drought screening, where the cultivars Alpha and Acala 1517- 88 proved to be the more tolerant cultivars and Molopo and OR19 the more sensitive cultivars (Table 1) .

Table 1. Comparison of sensitivities to (a) drought stress and (b) combined heat and drought stress in six cotton cultivars, as measured by proline accumulation and a TTC viability assay (De Ronde and Van der Mescht, 1997)

Cultivar

Drought stress

Combination stress

Proline rating

TTC rating

Proline rating

TTC rating

Alpha

Tolerant

Tolerant

Tolerant

Tolerant

Acala 1517-88

Tolerant

Tolerant

Sensitive

Sensitive

Delta Pine Acala 90

Sensitive

Tolerant

Tolerant

Tolerant

OR 19

Sensitive

Sensitive

Tolerant

Sensitive

Sicala

Tolerant

Sensitive

Sensitive

Tolerant

Molopo

Sensitive

Sensitive

Sensitive

Sensitive

The percentage of total free proline during a drought stress is summarised in Table 2. Proline concentrations peaked significantly in all the cultivars tested at 11 days without water. The decline at 15 days is probably due to reduced protein synthesis and any peak thereafter will likely be due to protein degradation. This supports the hypothesis of Becker and Fock (1986) of inhibition of protein synthesis and protein degradation with severe stress. The critical time for measuring accumulated proline for drought treated cotton is thus 11 days without water, as this reflected the time with the greatest difference between the stress and control treatments.

Table 2. The effect of drought stress on proline accumulation in six cotton cultivars (expressed as a percentage of the respective total proline accumulation)

Cultivars

Days after onset of drought stress

4

7

11

15

Sicala

10.73%+/-0.96az

15.97%+/-1.75b

48.28%+/-2.89c

25.02%+/-1.50d

Acala 88

19.86%+/-2.38a

26.19%+/-1.57b

31.45%+/-3.50c

22.50%+/-1.57d

Alpha

21.85%+/-0.87a

13.29%+/-0.93b

40.79%+/-0.40c

24.07%+/-1.58a

Molopo

17.79%+/-1.24a

20.83%+/-1.66a

47.90%+/-8.14b

13.48%+/-1.61c

Delta Pine

3.97%+/-1.07a

9.13%+/-1.55b

44.93%+/-2.69c

41.97%+/-3.77c

OR 19

17.71%+/-1.41a

6.54%+/-0.32b

34.19%+/-9.57c

41.56%+/-2.49c

z - indicating significant difference (P<0.05)

There are a number of variants playing a role in the establishment of the physiological mechanisms which equip plants for life. Considering a plant’s response to high temperature stress, it has proved difficult to separate the interrelationship between the effects of high temperature and that of water deficits. It is common that the driest periods in the year coincide with the hottest summer months. As a plant’s resistance to cold, heat and water stress is known to be interrelated (Levitt, 1980), we examined the interrelationship between heat and drought stress in cotton. The extent of proline accumulation is affected by the rate of imposition of stress, stress precondition, organ type and age as well as genetic variation within and between species.

It was previously found that the proline levels increased in tomato leaves as a result of heat stress (Kuo et al., 1986), but a study on desert plants could not link the concentration increase to the leaf temperature (Laurie et al., 1994). Cultivar OR19 was the only cultivar that displayed a significant increase from the control treatment (4, 7 and 11 days heat stress) in proline accumulation as a result of the heat stress (Fig. 1f), thus indicating heat tolerance. The combination of heat and drought stress exhibited an increase in proline concentrations in five cotton cultivars (Fig. 1 b-f). It is proposed that an increase in proline is the result of drought and heat tolerance, but if a drought tolerant cultivar accumulate less proline under high temperature, it is the result of heat sensitivity. This could be explained by possible different mechanisms for heat and drought and the activation of the heat stress mechanisms before the drought stress mechanisms. Thus, Alpha, Delta Pine Acala 90 and OR19 (Fig. 1 c, e and f) reacted as drought and heat tolerant cultivars, as they accumulated more proline compared to the cultivars Sicala, Acala 88 and Molopo (Fig. 1 a, b and d). This correlated with a previous study using TTC viability assay screening for combination of drought and heat stress (De Ronde and Van der Mescht, 1997), where the cultivars Alpha and Delta Pine Acala 90 proved to be the more tolerant cultivars and Molopo and Acala 88 the more sensitive cultivars (Table 1).

Table 3 summarised the percentage of proline accumulation during a combined stress. It was observed that the critical stage for measuring proline is earlier with a combined stress than with a drought stress alone. Cultivars OR19 and Sicala showed a significant peak at 7 days without water. Cultivars Alpha, Molopo, Delta Pine Acala 90 and Acala 88 showed a significant peak at 11 days without water.

Table 3. The effect of a combination of drought and heat stress on proline accumulation in six cotton cultivars (expressed as a percentage of the respective total proline accumulation)

Cultivars

Days after onset of drought and heat stress

4

7

11

15

OR19

17.51%+/-0.87az

23.15%+/-3.24b

28.06%+/-1.68b

31.28%+/-3.75b

Alpha

11.86%+/-0.23a

21.98%+/-0.21b

30.90%+/-2.78c

35.26%+/-1.76c

Delta Pine

4.72%+/-2.83a

30.23%+/-0.30b

62.82%+/-3.76c

2.23%+/-0.73a

Acala 88

6.41%+/-3.01a

31.24%+/-0.31b

61.12%+/-3.66c

1.23%+/-0.07d

Molopo

11.85%+/-0.71a

11.75%+/-1.76a

33.61%+/-6.38c

42.79%+/-12.8c

Sicala

17.15%+/-1.33a

42.56%+/-16.3b

38.64%+/-6.07b

1.65%+/-0.01d

z - indicating significant difference (P<0.05)

CONCLUSIONS

The data presented here indicate that there are differences in the proline level during a drought stress and those found during a combination of drought and heat stress. This is possibly a result of different mechanisms for drought and heat stress, with the heat stress mechanism firstly activated. It appears as if the tolerance or sensitivity of cotton cultivars can be differentiate with the use of a free proline analysis. We also observed that there are differences in the proline level between different cultivars. These results have potential for application in breeding programmes.

ACKNOWLEDGEMENT

We thank the Water Research Commission for their financial support.

REFERENCES

  • Alia, A., Saradhi, P.P. and Mohanty, P. 1991. Proline enhances primary photochemical activities in isolated thylakoid membranes of Brassica juncea by arresting photo inhibitory damage. Biochemistry and Biophysical Research Communications 181:1238-1244.
  • Bates, L.S., Waldren, R.P. and Teare, I.D. 1973. Rapid determination of free proline for water-stress studies. Plant Soil 39:205-207.
  • Becker, T.W. and Fock, H.P. 1986. The activity of nitrate reductase and the pool sizes of some amino acids and some sugars in water -stressed maize leaves. Photosynthesis Research 8:267-274.
  • Berry, J. and Bjorkman, O. 1980. Photosynthetic response and adaptation to temperature to higher plants. Annal Review of Plant Physiology 31: 491-543.
  • Bogess, S.F. and Stewart, C.R. 1980. The relationship between water stress induced proline accumulation and inhibition of protein synthesis in tobacco leaves. Plant Science Letter 17:245-252.
  • Bowler, C., Von Montagu, M. and Inze, D. 1992. Superoxide dismutase and stress tolerance. Annual Review of Plant Physiology and Plant Molecular Biology 43:83-116.
  • Chu, T.M., Aspinall, D. and Paleg, L.G. 1974. Stress metabolism. VI. Temperature stress and the accumulation of proline in barley and radish. Australian Journal of Plant Physiology 1:87-89.
  • De Ronde, J.A. and Van der Mescht, A. 1997. Utilization of 2,3,5-triphenyltetrazolium chloride reduction as a measure of the interaction between drought tolerance simulation and heat tolerance in cotton. South African Journal of Science 93:431-433.
  • De Ronde, J.A., Van der Mescht, A. and Cress, W.A. 1995. The biochemical responses of six cotton cultivars to heat stress. South African Journal of Science 91:363-366.
  • Floyd, R.A. and Nagy, Z.S. 1984. Formation of long lived hydroxyl free radical adducts of proline and hydroxyproline in a Fenton reaction. Biochemic et Biophysica Acta 790: 94-97.
  • Hare, P.D. 1995. Molecular characterisation of the gene encodingÆ 1 - pyrroline-5-carboxylate reductase isolated from Arabidopsis thaliana (L.) Heynh. MSc Thesis, Natal University, South Africa.
  • Irigoyen, J.J., Emerich, D.W. and Sanches-Diaz, M. 1992. Water stress induced changes in concentrations of proline and total soluble sugars in nodulated alfalfa (Medicago sativa) plants. Physiologia Plantarum 84:55-60.
  • Kuo, C.G., Chen, H.M. and Ma, L.H. 1986. Effect of high temperature on proline content in tomato floral buds and leaves. Journal of American Society of Horticultural Science 111:746-750.
  • Laurie, S., Bradbury, M. and Steward, G.R. 1994. Relationships between leaf temperature, compatible solutes and anti transpirant treatments in some desert plants. Plant Science 100:147-156.
  • Levitt, J. 1980. High temperature stress. In: Response of Plants to Environmental Stresses. Volume 1, 2nd edition. Academic Press, London, pp. 347-470.
  • Reddy, V.R., Reddy, K.R. and Baker, D.N. 1991. Agroclimatology and modelling temperature effect on growth and development of cotton during the fruiting period. Agronomy Journal 83:211-217
  • Schobert, B. and Tschesche, H. 1978. Unusual solution properties of proline and its interactions with proteins. Biochemica et Biophysica Acta 541:270-277.
  • Singh, T.N., Aspinall, D. and Paleg, L.G. 1972. Proline accumulation and varietal adaptability to drought in barley: a potential metabolic measure of drought resistance. Nature New Biology 236:188-190.
  • Trolinder, N.L. and Shang, X. 1991. In vitro selection and regeneration of cotton resistant to high temperature stress. Plant Cell Report 10:448-452.
  • van der Mescht, A. and De Ronde, J.A. 1993. Drought related protein synthesis in cotton. South African Journal of Plant Soil 10:50-51.
  • van Heerden, P.D.R. and De Villiers, O.T. 1996. Evaluation of proline accumulation as an indicator of drought stress in spring wheat cultivars. South African Journal of Plant Soil 13:17-21.
  • Wyn Jones, R.G. and Storeys, R. 1978. Salt stress and comparative physiology in the Gramineae. II. Glycine betaine and proline accumulation in two salt and water stressed barley cultivars. Australian Journal of Plant Physiology 5:817-829.

©2000, African Crop Science Society


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