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Research Article

Physiological characteristics of IRR 400 series rubber clones (Hevea brasiliensis Muell. Arg.) on drought stress

[version 1; peer review: 2 approved with reservations]
PUBLISHED 27 Jan 2023
Author details Author details
OPEN PEER REVIEW
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This article is included in the Agriculture, Food and Nutrition gateway.

Abstract

Background: Drought stress is one of the main causes of plant death. Strategies for plants survival are morphological adaptations, specific signaling pathways, and tolerance mechanisms. Rubber plantations have many uses, such as foreign exchange sources, job sources, forest revitalization, and a source of alternative wood for building materials and furniture. The rubber plant’s response to drought stress is a complex biological process. A tolerant rubber clone in a dry area is the right approach. The present study aimed to determine the mechanism of drought-tolerant clones, based on physiological characteristics, to obtain character selection and drought-tolerant clones early.
Methods: The first factor examined for this work was clones (IRR 425, IRR 428, IRR 429, IRR 434, IRR 440, RRIC 100, and BPM 24) and the second factor was water content (30%, 60%, and 90%). The study was arranged on a factorial randomized block design and repeated three times. Characteristics observed were total sugar (µM), proline (mg/L), chlorophyll a, b, total (µg/mL), hydrogen peroxidase (µmol/g), ascorbate peroxidase (unit/mg), superoxide dismutase (unit/mg), and peroxide dismutase (unit/mg).
Results: The tolerance ability of the IRR 400 series rubber clones to drought stress was determined by observing the characteristics of sugar total and proline. The concentration of total sugar and proline were higher when the plant was treated with a lower water content. The selected clones tolerant to drought stress are RR 425 and IR 434 with high total sugar content and proline. Other characteristics, namely chlorophyll a, b, and total, as well as hydrogen peroxidase, ascorbate peroxidase, super oxide dismutase, peroxide dismutase, cannot be used as selection characteristics for this study.
Conclusions: This drought study of IRR 400 clones with varying water content percentages illustrated that the total sugar and proline characteristics could be used to distinguish tolerance levels from other observed characteristics.

Keywords

rubber, drought stress, water content, adaptation, abiotic stress

Introduction

In rubber plants, drought can cause a delayed maturation phase, short tapping period, slow latex flow, dry latex, increased dry tapping grooves, and even tree death.1 Drought is one of the main abiotic stresses that affects plants and can reduce yield and productivity in almost all plants in the world.2 Hence, it becomes most important compared with other environmental factors because it interferes with plant growth and development and disrupts production and performance. Water is part of the protoplasm and makes up 85–90% of the total weight of the plant tissue. Water is a vital reagent in photosynthesis and hydrolysis reactions. In addition, it acts as a solvent for salts, gases and other substances transported between cell tissues to maintain cell growth and leaf shape stability.3

One of the primary sources of natural rubber is found in the Amazon basin, South America.4 Optimal conditions for the growth of rubber plants are high temperature (28 ± 2oC), high humidity, and rainfall of 2000–4000 mm/year.5 Rubber plantations in marginal areas, such as the northeastern states of India, southern China, northern and northeastern Thailand, and eastern Indonesia, experience abiotic stresses such as drought. Indonesia has a wide drought area of about 122.1 million ha, and it is not optimally exploited due to limited water resources.

The response caused by drought is quite complex because it involves changes in morphology, physiology, and metabolism. The initial response to drought stress is loss of turgor pressure, which results in reduced growth rate, stem elongation, leaf senescence, and stomatal opening. Drought changes the source–sink relationship and affects the translocation of photosynthate to produce fruit quickly for certain crops.6 The fastest response to a water deficit is the stomatal closure to protect plants from water shortages. Water deficit results in abscisic acid (ABA) biosynthesis, which triggers stomatal closure and causes a decrease in intracellular CO2 levels and the inhibition of photosynthesis.7 Water shortages do not always promote these responses in all plant species. Lack of intracellular CO2 due to prolonged stomatal closure leads to the accumulation of reactive oxygen and nitrogen species, which damages the photosynthetic apparatus.8 Besides that, the presence of osmoprotectants, such as proline, trehalose sugar, glycine betaine, D-onomitol, and mannitol maintain the growth and productivity of a plant experiencing drought stress.911 The presence of antioxidant enzymes, such as superoxide dismutase (SOD), catalase (CAT), ascorbate peroxidase (APX), and glutathione reductase (GR), in cellular and cytoplasmic organelles plays an important role in the detoxification of these reactive oxygen species (ROS), and enables plant cells to activate various stress sensors, which will then activate various signal paths.

Inhibited growth is a typical symptom of drought stress.12 The consequent physiological, biochemical, and molecular changes affect various cellular processes, thereby reducing the quantity and quality of the plant yield. In times of drought stress, lack of sufficient water combined with the increased CO2 in the atmosphere can cause plant death.13 Based on bio-informatics, there are 20 proteins related to drought stress in rubber plants.14 This study aims to determine the mechanism of drought-tolerant clones, based on physiological characteristics, to obtain character selection and drought-tolerant clones early.

Methods

Study area

Analysis of physiological characteristics was carried out at the Physiology and Protection Laboratory of the Unit Research Sungei Putih, Galang, Deli Serdang, North Sumatra. The study was carried out in a greenhouse during June 2020–May 2021. The materials used were red–yellow podzolic soil (water content = 3.9, pH = 4.5, C-organic = 0.92, N = 0.15, P2O5 = 2.13), compound fertilizer, Dithane M-45 and Triko-SP Plus. The tools used were polybags (18 × 35 cm and 50×60 cm), a hoe, soil sieve, bucket, watering can, 100 kg UK scale, analytical balance, object glass, deck glass, binocular microscope, water bath, vortex, UV spectrophotometer, filter paper, test tube, gloves, mask, tissue, distilled water, mortar, beaker, micropipettes 1 ml and 100 μl, stirrer, 15 watt lamp, microcentrifuge, microwave, and others.

Experimental design

The study was arranged based on a factorial randomized block design (RBD). The first factor was the type of clone, consisting of seven types, namely C1: IRR 425, C2: IRR 428, C3: IRR 429, C4: IRR 434, C5: IRR 440, C6: RRIC 100, and C7: BPM 24. The second factor was water content, consisting of three levels, namely: W1: 30%, W2: 60%, and W3: 90%. Each experimental unit was repeated three times, and as many as 63 samples were observed.

Data analysis

Observations were carries out six times on physiological characteristics, with time intervals every three weeks. If the test of variance obtained significantly different treatments, then the Tukey distance test of 0.5% was carried out.15 The characteristics observed were total sugar content,16 chlorophyll a, b, total,17 proline,1821 super peroxidase dismutase (SOD),22 peroxidase dismutase (POD),23 APX enzyme,24 and hydrogen peroxide (H2O2).22

A step-by-step description of the procedure to analyze sugar content, proline, chlorophyll a, b, total, SOD, POD, H2O2 and APX has been deposited in prototocol.io and is available at dx.doi.org/10.17504/protocols.io.5jyl8je1dg2w/v1.

Results

Total sugar content (μM)

The total sugar content analysis showed a significant effect in all the observations except the first one (Table 1).

Table 1. The total sugar content (μM) in the six observations of rubber clones.

ObservationLevelTotal sugar content (μM)Clone
1stHighest195.05RRIC 100
Lowest158.99IRR 425
2ndHighest129.34RRIC 100
Lowest65.53IRR 425
3rdHighest114.9RRIC 100
Lowest73.28BPM 24
4thHighest158.75BPM 24
Lowest105.17IRR 425
5thHighest221.09IRR 429
Lowest183.01IRR 440
6thHighest184.73RRIC 100
Lowest136.85IRR 425

The total sugar content in the six observations carried out on tested clones were consistent. The RRIC 100 clone had the highest total sugar content four times, and the IRR 425 clone had the lowest three times.

The total sugar content analysis at different water levels generally showed a significant effect, except for the initial observation. This indicates that, in most of the six observations, water content affects the total sugar content of the tested clones (Table 2).

Table 2. Total sugar content (μM) at different water content levels (%).

ObservationLevelTotal sugar content (μM)Water content (%)
1stHighest188.2430
Lowest172.5190
2ndHighest111.6830
Lowest85.0390
3rdHighest116.7930
Lowest77.6990
4thHighest151.6430
Lowest112.8990
5thHighest200.5730
Lowest205.7690
6thHighest178.8330
Lowest142.7490

Analysis of the total sugar content due to the interaction between the type of clone and water content level (30%, 60%, 90%) showed significant differences, except in the first observation (Table 3).

Table 3. Total sugar content (μM) due to interactions between clone type and water content (%).

ObservationLevelTotal sugar content (μM)CloneWater content (%)
1stHighest237.00IRR 42890
Lowest137.90IRR 42590
2ndHighest149.85IRR 42930
Lowest61.03IRR 42890
3rdHighest151.18RRIC 10030
Lowest65.70BPM 2460
4thHighest206.06IRR 42930
Lowest94.52IRR 42560
5thHighest227.64IRR 42930
Lowest152.74RRIC 10060
6thHighest215.48RRIC 10030
Lowest121.48IRR 42990

What is interesting about these results is that the highest accumulation of total sugar is seen in the application of 30% water content. Meanwhile the effect on the different types of clones was quite diverse. The IRR 429 had the highest total sugar in three observations (second, fourth and fifth). The RRIC 100 had the highest total sugar in two observations (third and fourth). The two clones, RRIC 100 and IRR 429, also had the lowest total sugar in the fifth and sixth observations, respectively. The complete dataset of total sugar content is displayed in Supplementary Table 1.

Two forms of polynomial curves can be the effect of water content and can be shown by the orthogonal polynomial regression obtained from three levels of water content, namely linear and cubic curves. The results of the analysis show that the linear curve shows a real effect. Figure 1 shows the linear curve regression pattern formed in detail. It demonstrates that the lower the water content added to the growing media, the higher the total sugar content derived from the leaf analysis of several rubber clones of IRR 400 series, RRIC 100, and BPM 24.

7f191237-98fc-4111-9a45-8991cf386501_figure1.gif

Figure 1. Pattern of total sugar content linear curve as a result of orthogonal polynomial analysis.

1: 30%; 2: 60%; 3: 90%.

Proline (mgg-1)

Table 4 depicts the proline analysis of clone types treated with different water contents and shows that there were significantly different effects in all observations.

Table 4. Proline levels (mgg-1) in different clones.

ObservationLevelProline (mgg-1)Clones
1stHighest11.16IRR 429
Lowest5.89RRIC 100
2ndHighest9.27IRR 429
Lowest5.74IRR 428
3rdHighest13.66BPM 24
Lowest8.76IRR 440
4thHighest8.11IRR 425
Lowest6.25IRR 440
5thHighest8.95IRR 425
Lowest5.33IRR 440
6thHighest6.86IRR 425
Lowest5.69IRR 440

The results of proline analysis at different water content percentages showed significantly different effects in all observations, as shown in Table 5.

Table 5. Proline levels (mgg-1) at different water content levels (%).

ObservationLevelProline (mgg-1)Water content (%)
1stHighest10.9430
Lowest5.8990
2ndHighest9.3130
Lowest5.1290
3rdHighest11.7430
Lowest9.9690
4thHighest7.9130
Lowest6.6560
5thHighest7.7230
Lowest6.2890
6thHighest6.2830
Lowest5.7860

The proline analysis caused by the interaction between rubber clones IRR 400 series, RRIC 100, and BPM 24 and given water content (30%, 60%, 90%) showed significantly different effects in all observations, as displayed in Table 6.

Table 6. Proline levels (mgg-1) due to interactions between clone type and water content (%).

ObservationLevelProline (mgg-1)CloneWater content (%)
1stHighest13.80IRR 42530
Lowest1.42RRIC 10090
2ndHighest14.87IRR 42930
Lowest1.32RRIC 10090
3rdHighest17.61IRR 43430
Lowest5.35IRR 44090
4thHighest9.43IRR 42530
Lowest5.14RRIC 10090
5thHighest12.32IRR 42530
Lowest2.42IRR 44090
6thHighest9.13IRR 42830
Lowest4.41BPM 2490

The assessment of orthogonal polynomial regression showed a linear curve, where the water content at the 30% level had the highest proline value. The orthogonal polynomial linear curve pattern of proline characteristics of several rubbers of IRR 400 series, RRIC 100, and BPM 24 is shown in Figure 2. The complete dataset of proline can be seen in Supplementary Table 2.

7f191237-98fc-4111-9a45-8991cf386501_figure2.gif

Figure 2. Pattern of proline linear curve as a result of orthogonal polynomial analysis.

1: 30%; 2: 60%; 3: 90%.

Chlorophyll a (μgmg-1)

The chlorophyll a analysis on the different clone types showed a significant effect, except for the first observation, as displayed in Table 7.

Table 7. Chlorophyll a levels (μgmg-1) in different clones.

ObservationLevelChlorophyll a (μgmg-1)Clones
1stHighest0.25IRR 425
Lowest0.22BPM 24
2ndHighest0.60IRR 425
Lowest0.46BPM 24
3rdHighest0.46IRR 425
Lowest0.41BPM 24
4thHighest0.60IRR 425
Lowest0.49BPM 24
5thHighest0.62IRR 425
Lowest0.45BPM 24
6thHighest0.72IRR 425
Lowest0.52BPM 24

Table 8 shows the chlorophyll a analysis at different water contents, which demonstrated a significant effect in all six observations.

Table 8. Chlorophyll a levels (μgmg-1) at different water content levels (%).

ObservationLevelChlorophyll a (μgmg-1)Water content (%)
1stHighest0.2830
Lowest0.2090
2ndHighest0.6430
Lowest0.4090
3rdHighest0.5430
Lowest0.3390
4thHighest0.6730
Lowest0.4390
5thHighest0.5730
Lowest0.3690
6thHighest0.5930
Lowest0.3990

Analysis of chlorophyll a levels due to the interaction between clones and water content (30%, 60%, 90%) showed significant differences in all six observations (Table 9). The complete dataset of chlorophyll a is depicted in Supplementary Table 3.

Table 9. Chlorophyll a levels (μgmg-1) due to interactions between clones and water content (%).

ObservationLevelChlorophyll a (μgmg-1)ClonesWater content (%)
1stHighest0.3IRR 42530
Lowest0.1IRR 42590
2ndHighest0.8IRR 42930
Lowest0.3IRR 44090
3rdHighest0.7IRR 42530
Lowest0.3IRR 42590
4thHighest0.9RRIC 10030
Lowest0.3IRR 44090
5thHighest0.8IRR 42530
Lowest0.2IRR 42990
6thHighest0.9IRR 42530
Lowest0.3IRR 42990

Chlorophyll b (μgmg-1)

The results of the chlorophyll b analysis with different clone types showed significantly different results, except for the first observation (Table 10).

Table 10. Chlorophyll b levels (μgmg-1) in different clones.

ObservationLevelChlorophyll b (μgmg-1)Clones
1stHighest0.24IRR 425
Lowest0.20BPM 24
2ndHighest0.57IRR 425
Lowest0.30IRR 434
3rdHighest0.45RRIC 100
Lowest0.33IRR 434
4thHighest0.57IRR 425
Lowest0.34IRR 434
5thHighest0.56BPM 24
Lowest0.46IRR 429
6thHighest0.56IRR 440
Lowest0.37IRR 429

The results of analysis of chlorophyll b levels at the given water contents showed a significant effect in all six observations (Table 11).

Table 11. Chlorophyll b levels (μgmg-1) at different water content levels (%).

ObservationLevelChlorophyll b (μgmg-1)Water content (%)
1stHighest0.2530%
Lowest0.2090%
2ndHighest0.5230%
Lowest0.3890%
3rdHighest0.4930%
Lowest0.3590%
4thHighest0.6030%
Lowest0.4190%
5thHighest0.6130%
Lowest0.3990%
6thHighest0.5930%
Lowest0.3890%

The analysis of chlorophyll b levels due to the interaction between clones and water content (30%, 60%, 90%) showed significant differences in all six observations, as shown in Table 12.

Table 12. Chlorophyll b levels (μgmg-1) due to interactions between clones and water content (%).

ObservationLevelChlorophyll b (μgmg-1)CloneWater content (%)
1stHighest0.3IRR 42530
Lowest0.2IRR 42890
2ndHighest0.7IRR 42530
Lowest0.3IRR 43490
3rdHighest0.6BPM 2430
Lowest0.3IRR 43490
4thHighest0.7RRIC 10030
Lowest0.3IRR 43490
5thHighest0.7BPM 2430
Lowest0.3IRR 44090
6thHighest0.7IRR 42530
Lowest0.3IRR 42990

The assessment of the orthogonal polynomial regression showed a linear curve, where the water content at the 30% level had the highest chlorophyll b value. The orthogonal polynomial linear curve pattern of the chlorophyll b characteristics of several rubber clones of IRR 400 series, RRIC 100, and BPM 24 can be seen in Figure 3. The complete dataset of chlorophyll b can be seen in Supplementary Table 4.

7f191237-98fc-4111-9a45-8991cf386501_figure3.gif

Figure 3. Pattern of chlorophyll b linear curve as a result of orthogonal polynomial analysis.

1: 30%; 2: 60%; 3: 90%.

Chlorophyll total (μgmg-1)

The analysis results of chlorophyll total with different clone types showed significantly different results except for one observation (Table 13).

Table 13. Chlorophyll total levels (μgmg-1) in different clones.

ObservationLevelChlorophyll total (μgmg-1)Clone
1stHighest0.48IRR 425
Lowest0.42BPM 24
2ndHighest1.17IRR 425
Lowest0.77IRR 434
3rdHighest1.00RRIC 100
Lowest0.66IRR 434
4thHighest1.28RRIC 100
Lowest0.78IRR 440
5thHighest1.17IRR 425
Lowest0.74IRR 440
6thHighest1.24IRR 425
Lowest0.74IRR 429

The results of chlorophyll total analysis with the given water content showed a significant effect in all six observations, as depicted in Table 14.

Table 14. Chlorophyll total levels (μgmg-1) at different water content levels (%).

ObservationLevelChlorophyll total (μgmg-1)Water content (%)
1stHighest0.5330
Lowest0.4090
2ndHighest1.1630
Lowest0.7890
3rdHighest1.0330
Lowest0.6990
4thHighest1.2730
Lowest0.8390
5thHighest1.1930
Lowest0.7590
6thHighest1.1830
Lowest0.7790

The analysis of chlorophyll total levels due to the interaction between IRR 400 series, RRIC 100, and BPM 24 and water content (30%, 60%, 90%) showed significant differences in all six observations (Table 15). The complete dataset of chlorophyll total can be seen in Supplementary Table 5.

Table 15. Chlorophyll total levels (μgmg-1) due to interactions between clones and water content (%).

ObservationLevelChlorophyll total (μgmg-1)CloneWater content (%)
1stHighest0.6IRR 42930
Lowest0.3IRR 42590
2ndHighest1.4IRR 42530
Lowest0.7IRR 43490
3rdHighest1.2IRR 42530
Lowest0.6IRR 42590
4thHighest1.7RRIC 10030
Lowest0.7IRR 44090
5thHighest1.4IRR 42530
Lowest0.6IRR 44090
6thHighest1.6IRR 42530
Lowest0.6IRR 42990

Orthogonal polynomial regression shows a linear curve, where the water content at 30% has the highest total chlorophyll value. The linear curve shows that the total chlorophyll content increases with the decreasing water content. The orthogonal polynomial linear curve pattern of chlorophyll total of several clones of IRR 400 series, RRIC 100, and BPM 24 can be seen in Figure 4.

7f191237-98fc-4111-9a45-8991cf386501_figure4.gif

Figure 4. Pattern of chlorophyll total linear curve as a result of orthogonal polynomial analysis.

1: 30%; 2: 60%; 3: 90%.

Hydrogen peroxidase/H2O2 (μmolg-1)

The results of the H2O2 analysis with different types of clones showed a significantly different effect in two of the observations (third and fourth) (Table 16).

Table 16. H2O2 levels (μmolg-1) in different clones.

ObservationLevelH2O2 (μmolg-1)Clone
1stHighest0.80IRR 428
Lowest0.77IRR 429
2ndHighest0.81IRR 440
Lowest0.75IRR 425
3rdHighest0.79RRIC 100
Lowest0.74IRR 429
4thHighest0.79IRR 440
Lowest0.73IRR 428
5thHighest0.75RRIC 100
Lowest0.74IRR 425
6thHighest0.74IRR 425
Lowest0.72IRR 434

The results of H2O2 analysis at different water content levels did not show significant differences in any of the observation (Table 17).

Table 17. H2O2 levels (μmolg-1) at different water content levels (%).

ObservationLevelH2O2 (μmolg-1)Water content (%)
1stHighest0.7930
Lowest0.7860
2ndHighest0.7830
Lowest0.7690
3rdHighest0.7760
Lowest0.7690
4thHighest0.7790
Lowest0.7530
5thHighest0.7560
Lowest0.7430
6thHighest0.7390
Lowest0.7230

The analysis of H2O2 levels (μmolg-1) due to interactions between IRR 400 series, RRIC 100, and BPM 24 and given water content (30%, 60%, 90%) showed a significantly different effect in just one observation (fourth) (Table 18). The complete dataset of H2O2 is displayed in Supplementary Table 6.

Table 18. H2O2 levels (μmolg-1) due to interactions between clones and water content (%).

ObservationLevelH2O2 (μmolg-1)CloneWater content (%)
1stHighest0.8IRR 42830
Lowest0.7IRR 42960
2ndHighest0.8IRR 42830
Lowest0.7IRR 42960
3rdHighest0.8BPM 2460
Lowest0.7IRR 42960
4thHighest0.8BPM 2490
Lowest0.7IRR 42930
5thHighest0.8BPM 2460
Lowest0.7IRR 42530
6thHighest0.8IRR 42590
Lowest0.7IRR 43460

The effect of water content on the H2O2 characteristic shows a linear regression curve based on orthogonal polynomials. This indicates that the lower the water content, the higher the concentration of H2O2. The linear regression pattern between H2O2 content and water content can be seen in Figure 5.

7f191237-98fc-4111-9a45-8991cf386501_figure5.gif

Figure 5. Pattern of H2O2 (μmolg-1) linear curve as a result of orthogonal polynomial analysis.

1: 30%; 2: 60%; 3: 90%.

Ascorbate peroxidase/APX (unitsmg-1)

The results of APX analysis with different clone types were not significantly different in any of the observations (Table 19).

Table 19. APX levels (unitsmg-1) in different clones.

ObservationLevelAPX (unitsmg-1)Clones
1stHighest1.48IRR 425
Lowest1.22RRIC 100
2ndHighest1.32IRR 429
Lowest1.13IRR 425
3rdHighest1.10RRIC 100
Lowest1.00BPM 24
4thHighest1.44IRR 434
Lowest1.21IRR 425
5thHighest1.41IRR 428
Lowest1.24BPM 24
6thHighest1.14IRR 425
Lowest0.96IRR 434

The analysis results of APX at different water content levels were not significantly different in any of the observations (Table 20).

Table 20. APX levels (unitsmg-1) at different water content levels (%).

ObservationLevelAPX (unitmg-1)Water content (%)
1stHighest1.3830
Lowest1.2490
2ndHighest1.3460
Lowest1.1530
3rdHighest1.0760
Lowest1.0590
4thHighest1.3560
Lowest1.3390
5thHighest1.3860
Lowest1.3390
6thHighest1.0990
Lowest1.0530

The analysis of APX levels (unitmg-1) due to the interaction between IRR 400 series, RRIC 100, and BPM 24 and water content (30%, 60%, 90%) did not show any significant differences in any of the observations (Table 21). The complete dataset of APX can be seen in Supplementary Table 7.

Table 21. The APX levels (unitmg-1) due to interactions between clones and water content (%).

ObservationLevelAPX (unitmg-1)ClonesWater content (%)
1stHighest0.8IRR 42830
Lowest0.7IRR 42960
2ndHighest0.8IRR 42830
Lowest0.7IRR 42960
3rdHighest0.8BPM 2460
Lowest0.7IRR 42960
4thHighest0.8BPM 2490
Lowest0.7IRR 42930
5thHighest0.8BPM 2460
Lowest0.7IRR 42530
6thHighest0.7IRR 42590
Lowest0.3IRR 43460

Superoxide Dismutase/SOD (unitmg-1)

The SOD analysis with clone types showed a significant difference in three of the observations (Table 22).

Table 22. SOD levels (unitmg-1) in different clones.

ObservationLevelSOD (unitmg-1)Clones
1stHighest2.43IRR 425
Lowest2.23IRR 429
2ndHighest2.70IRR 440
Lowest2.44RRIC 100
3rdHighest2.44IRR 440
Lowest2.21IRR 429
4thHighest2.35IRR 425
Lowest2.23IRR 434
5thHighest2.44IRR 429
Lowest2.33RRIC 100
6thHighest2.62RRIC 100
Lowest2.40IRR 440

Analysis of SOD (unitmg-1) levels at different water content levels showed significant differences in three of the observations, as depicted in Table 23.

Table 23. SOD levels (unitmg-1) at different water content levels (%).

ObservationLevelSOD (unitmg-1)Water content (%)
1stHighest2.4260
Lowest2.3090
2ndHighest2.5990
Lowest2.5360
3rdHighest2.2790
Lowest2.2330
4thHighest2.3230
Lowest2.2860
5thHighest2.4560
Lowest2.3690
6thHighest2.5290
Lowest2.4360

The analysis of SOD levels due to interaction between IRR 400 series, RRIC 100, and BPM 24 and water content (30%, 60%, 90%) showed significant differences in two observations (Table 24). The complete dataset of SOD can be seen in Supplementary Table 8.

Table 24. SOD levels (unitmg-1) due to interactions of clones and water content (%).

ObservationLevelSOD (unitmg-1)CloneWater content (%)
1stHighest2.6IRR 42530
Lowest2.2IRR 42990
2ndHighest2.7IRR 44090
Lowest2.4RRIC 10090
3rdHighest2.4IRR 44030
Lowest2.1BPM 2490
4thHighest2.5IRR 42530
Lowest2.2IRR 42560
5thHighest2.6IRR 42860
Lowest2.3IRR 44090
6thHighest2.7BPM 2430
Lowest2.3IRR 44030

Peroxide dismutase/POD (unitsmg-1)

The POD analysis with different types of clones showed significant differences in two observations, as shown in Table 25.

Table 25. POD levels (unitmg-1) in different clones.

ObservationLevelPOD (unitmg-1)Clone
1stHighest0.90IRR 428
Lowest0.87IRR 425
2ndHighest0.94IRR 428
Lowest0.89IRR 429
3rdHighest0.90RRIC 100
Lowest0.85IRR 428
4thHighest0.94BPM 24
Lowest0.85IRR 434
5thHighest0.92RRIC 100
Lowest0.87IRR 429
6thHighest0.88BPM 24
Lowest0.83IRR 429

The analysis of POD levels at different water content levels showed a significant difference in one observation, as depicted in Table 26.

Table 26. POD levels (unitmg-1) at different water content levels (%).

ObservationLevelPOD (unitmg-1)Water content (%)
1stHighest0.89060
Lowest0.87030
2ndHighest0.92060
Lowest0.90090
3rdHighest0.87530
Lowest0.87490
4thHighest0.91490
Lowest0.90660
5thHighest0.92030
Lowest0.91060
6thHighest0.86030
Lowest0.83090

The analysis of POD levels due to interaction between IRR 400 series, RRIC 100, and BPM 24 and given water content (30%, 60%, 90%) showed a significant difference in just one observation (Table 27). The complete dataset of POD can be seen in Supplementary Table 9.

Table 27. POD levels (unitmg-1) due to interaction of clones and water content (%).

ObservationLevelPOD (unitmg-1)ClonesWater content (%)
1stHighest1.0IRR 44090
Lowest0.8IRR 42830
2ndHighest1.0IRR 42890
Lowest0.9RRIC 10090
3rdHighest0.9IRR 43490
Lowest0.8IRR 43430
4thHighest1.0BPM 2430
Lowest0.8IRR 43430
5thHighest1.0IRR 43490
Lowest0.9IRR 43490
6thHighest0.9BPM 2430
Lowest0.8IRR 43490

Discussion

Physiological characteristics that arise due to plant activities in certain environments are observable and enable growth and development. The accumulation of osmoprotectants is a key biochemical property in plants tolerant to abiotic stress,10,21 and there is clear evidence that osmotic adjustment sustains crop yields under drought stress.9 Drought stress causes changes in amino acid metabolism. The accumulated solutes protect cellular proteins, organelles, membranes and various enzymes against drought stress.

Several physiological characteristics were analyzed to see the effect of water content on IRR 400 series, RRIC 100, and BPM 24 rubber clones. Some of the dissolved substances assessed in this study were total sugar, proline, and chlorophyll (a, b, total). The correlation of total sugar content to each clone showed different effects. Each clone showed its ability to produce total sugar content when stressed. The RRIC 100 is a dry tolerant clone in the field. The increase in total sugar content was seen in most of observations of water content treatment. The interaction between clone type and water content can increase total sugar content, especially when the water content added is 30%. Initial hypotheses suggest that each clone has the ability to adapt to water shortages. The accumulation of soluble sugars in plant cells subjected to drought stress is responsible for the osmotic adjustment.25 Sugar accumulation in drought-stressed plants is controlled by several mechanisms that affect soluble sugar formation and transfer in leaves.26 Similar results of increased total sugar accumulation have been produced in drought-stressed soybeans26 and sugarcane.27

This study showed different proline values among the tested clones. All six observations indicate that clones have the ability to survive drought. The IRR 425 clone had the highest proline levels in four observations. Meanwhile, the IRR 440 had the lowest proline levels in four observations. Assessing by the proline characteristic, the initial assumption was that IRR 425 had a stronger adaptation compared with other clones, especially the IRR 440. Regarding different water contents (30%, 60%, 90%) the proline levels at 30% were greater than at 60% and 90%. This indicated that a higher amount of proline accumulated when the water content was lower in the growth medium. Proline is an important amino acid as it is an osmotic compatible molecule and has the potential to form a defense system to increase drought tolerance. Proline acts as antioxidative defense molecule and causes stress signaling.12 It is classified as an osmoprotectant, which causes increased hyperosmolarity and increased activity of antioxidant enzymes.28 Increased proline content in drought-stress plants can provide high energy to increase plant growth in water-deficit conditions.29 Hence, proline accumulation correlates with osmoprotection.30 The interaction between clone types and moisture content indicated that each clone showed a different effect in the six observations. The clones had high proline levels when treated with 30% water content. This shows that the clonal factor still has to be tested in other environments against drought stress. The proline content has been shown to increase about 10-fold in mungbean,31 maize,32 millet,12,33,34 nyamplung,35 and soybean26 under drought stress.

Chlorophyll is the main pigment found in chloroplasts.36 The three main functions of chlorophyll in the photosynthesis process are harnessing solar energy, triggering CO2 fixation to produce carbohydrates, and providing energy for the ecosystem as a whole. Chlorophyll a and chlorophyll b absorb the most light in the red part (600–700 nm), and absorb the least in the green part (500–600 nm).3537 In this study, it was seen that chlorophyll a, b, and total levels at 30% were higher than 90%. This is presumably because the rubber plant is an annual plant that is able to adapt to water shortages as its root structure, taproot, grows deeper to find water further from the soil surface. In addition, when stressed, the lateral roots will grow more to take advantage of the surface water. Even though the plants are grown in greenhouses, the water supplied into the planting media will not go down because the planting media is designed to not have holes, gaps, or place for water to come out. In addition, the surface of the polybag is also covered by plastic to minimize the occurrence of evapotranspiration from the growing media.

Antioxidants are active substances that naturally detoxify free radicals (ROS). The presence of oxidative stress and an abundance of antioxidants are important activities for metabolic protection when plants are under stress. ROS in the form of free radicals and peroxides are molecules derived from oxygen metabolism. The toxic effects of ROS can be countered by antioxidant enzymatic as well as non-enzymatic systems, such as SOD, CAT, APX, GR, ascorbic acid (AsA), tocopherols, glutathione and phenolic compounds, and others. Typically, each cellular compartment contains more than one enzymatic activity that detoxifies an ROS. The presence of these enzymes in almost all cells plays an important role in ROS detoxification for plant survival.38

H2O2 has several important roles in various biochemical and physiological processes. Long plant life and long growth processes result in H2O2 crossing cellular membranes and potentially acting as a signal in the signal transduction pathway of stress. This pathway triggers various responses of the adaptation process in the environment where the plant is cultivated.39 High levels of H2O2 cause oxidative stress, which then causes cell damage and death.40 However, optimal levels of H2O2 can increase tolerance to abiotic stresses through modulation of various physiological processes, including photosynthesis, opening and closing of stomata, osmotic adjustment, and ROS detoxification.39,40 ROS detoxification is very important in maintaining the structural and membrane integrity of cellular organelles and keeping them fully functional under stress. The accumulation of optimal amounts of H2O2 triggers the occurrence of chitinase proteins that can produce calcium homeostasis, ion channels, phosphatases, transcription factors, and abscisic acid (ABA), signaling responses to stress.41

APX in ascorbate–glutathione (AsA–GSH) cycling enzymes is responsible for the decomposition of H2O2 produced by SOD in different cellular organelles. APX plays a key role in both drought stress response and recovery after drought.41,42 APX is an integral component of the (ASC–GSH) cycle. APX performs the same function in the cytosol and chloroplasts. APX reduces H2O2 to H2O and docosahexaenoic acid (DHA), using AsA as a reducing agent.

H2O2+AA2H2O+DHA

The APX family consists of five isoforms based on different sites of amino acid formation, such as the cytosol, mitochondria, peroxisomes, and chloroplastids (stroma and thylakoids).43 APX is widely distributed and has a better affinity to H2O2, especially in terms of more efficient uptake of H2O2 in times of stress.4346

Thought the SOD levels in each clone showed a significant effect due to water content, it was limited to a few observations because drought affects the metabolic activity of clones. Likewise for the levels of SOD at a given water content. A water content of 30% showed relatively the same SOD activity as 60% and 90% in all observations. This indicates the SOD formed in low levels in the observations and therefore cannot be used as a marker of tolerance for these tested clones. SOD is one of the key components of cell protection against oxidative stress. The SOD has three different isoenzymes distributed between organelles. Cu/Zn-SOD is predominantly located in the chloroplasts, cytosol, and peroxisomes, whereas FeSOD and MnSOD are mostly found in chloroplasts and mitochondria, respectively.47 POD and SOD activities increased sharply in rubber seedlings after being subject to drought stress. This suggests that the photosynthetic activity and lipid integrity of the cell membranes are rapidly attenuated by drought stress. SODs are metalloenzymes that play an important role in ROS reactions, or, in other words, are able to neutralize the negative effects of ROS. The decrease in substrate binding affinity to SOD as well as a decrease in one isozyme band of SOD under drought conditions may be responsible for the resistance. Plants that have a higher induced SOD activity show more tolerance to abiotic stresses. Numerous studies have shown that plants are able to better eliminate the negative effects of ROS produced under stressful situations when their SOD activity is higher, provided there are more SOD isoenzymes present.

POD had low values in all six observations of some clones. The low POD indicated that the effect of some water content percentages given during the six observations on several different clones did not have a significant effect. This indicates that the POD characteristics cannot be used as a reference of plant tolerance to drought stress. Plants that produce more POD under conditions of drought stress will be able to survive by eliminating the effects of ROS. In general, the activity of POD and other antioxidant enzymes will automatically have a higher value in tolerant clones/varieties and will have a lower value in susceptible clones/varieties. This indicates that drought tolerant clones/varieties will be more efficient in removing H2O2 to produce optimal protection. Tolerance of some genotypes to environmental stresses has been associated with higher antioxidant enzyme activity. Drought-tolerant species of pigeon pea (Cajanus cajan),48 wheat (Triticum aestivum),49,50 and black bean (Phaseolus mungo)47 have higher SOD, POD, and CAT activities than drought-sensitive species. The results of this study indicate that ROS enzymes, which play a crucial role in the drought-tolerance mechanism under the drought treatment, have been identified in clones IRR 425, IRR 428, IRR 429, IRR 434, IRR 440, RRIC 100, and BPM 24 as scions. Based on the findings, several analyses have been carried out on physiological characteristics to determine the effects of water content on a greenhouse scale.

Conclusions

The tolerance ability of the IRR 400 series rubber clones to drought stress was determined by observing the two characteristics of total sugar and proline levels. Furthermore, chlorophyll a, b, and total, H2O2, APX SOD, and POD should not be used as markers of drought stress tolerance in rubber trees. The concentrations of total sugar and proline were higher when the plants were treated with a lower water content.

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Pasaribu SA, Basyuni M, Purba E and Hasanah Y. Physiological characteristics of IRR 400 series rubber clones (Hevea brasiliensis Muell. Arg.) on drought stress [version 1; peer review: 2 approved with reservations] F1000Research 2023, 12:106 (https://doi.org/10.12688/f1000research.129421.1)
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Reviewer Report 25 Apr 2023
Maryam Nazari, Department of Agronomy and Plant Breeding, Faculty of Agriculture, Bu-Ali Sina University, Hamadan, Iran 
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The authors have done considerable work and this manuscript could be indexed and would expand our knowledge. However, I list some points that the authors should consider to improve the revised version:

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Nazari M. Reviewer Report For: Physiological characteristics of IRR 400 series rubber clones (Hevea brasiliensis Muell. Arg.) on drought stress [version 1; peer review: 2 approved with reservations]. F1000Research 2023, 12:106 (https://doi.org/10.5256/f1000research.142106.r164844)
NOTE: it is important to ensure the information in square brackets after the title is included in all citations of this article.
  • Author Response 18 Jul 2023
    Mohammad Basyuni, Center of Excellence for Mangrove, Universitas Sumatera Utara, Medan, 20155, Indonesia
    18 Jul 2023
    Author Response
    The authors have done considerable work and this manuscript could be indexed and would expand our knowledge. However, I list some points that the authors should consider to improve the ... Continue reading
  • Author Response 12 Oct 2023
    Mohammad Basyuni, Center of Excellence for Mangrove, Universitas Sumatera Utara, Medan, 20155, Indonesia
    12 Oct 2023
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    APPROVED WITH RESERVATIONS
    Response (R): We thank Reviewer for her critical reading on our manuscript and for providing us valuable suggestions. This has helped us greatly in improving this study, ... Continue reading
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  • Author Response 18 Jul 2023
    Mohammad Basyuni, Center of Excellence for Mangrove, Universitas Sumatera Utara, Medan, 20155, Indonesia
    18 Jul 2023
    Author Response
    The authors have done considerable work and this manuscript could be indexed and would expand our knowledge. However, I list some points that the authors should consider to improve the ... Continue reading
  • Author Response 12 Oct 2023
    Mohammad Basyuni, Center of Excellence for Mangrove, Universitas Sumatera Utara, Medan, 20155, Indonesia
    12 Oct 2023
    Author Response
    APPROVED WITH RESERVATIONS
    Response (R): We thank Reviewer for her critical reading on our manuscript and for providing us valuable suggestions. This has helped us greatly in improving this study, ... Continue reading
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Reviewer Report 06 Apr 2023
Mohamed sathik Thirruvithamkottil, Rubber Research Institute of India, Rubber Board, Kottayam, Kerala, India 
Approved with Reservations
VIEWS 31
Title: it should be Physiological characteristics of IRR 400 series rubber clones (Hevea brasiliensis Muell. Arg.) under drought stress

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Second line: Plants survival – should be changed to - ... Continue reading
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Thirruvithamkottil Ms. Reviewer Report For: Physiological characteristics of IRR 400 series rubber clones (Hevea brasiliensis Muell. Arg.) on drought stress [version 1; peer review: 2 approved with reservations]. F1000Research 2023, 12:106 (https://doi.org/10.5256/f1000research.142106.r161733)
NOTE: it is important to ensure the information in square brackets after the title is included in all citations of this article.
  • Author Response 18 Jul 2023
    Mohammad Basyuni, Center of Excellence for Mangrove, Universitas Sumatera Utara, Medan, 20155, Indonesia
    18 Jul 2023
    Author Response
    Response (R): We thank Reviewer 1 for his comments on the merit of our work and for providing constructive comments and suggestions to improve our manuscript. We have revised the ... Continue reading
COMMENTS ON THIS REPORT
  • Author Response 18 Jul 2023
    Mohammad Basyuni, Center of Excellence for Mangrove, Universitas Sumatera Utara, Medan, 20155, Indonesia
    18 Jul 2023
    Author Response
    Response (R): We thank Reviewer 1 for his comments on the merit of our work and for providing constructive comments and suggestions to improve our manuscript. We have revised the ... Continue reading

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Approved with reservations - A number of small changes, sometimes more significant revisions are required to address specific details and improve the papers academic merit.
Not approved - fundamental flaws in the paper seriously undermine the findings and conclusions
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