Journal of biological and health sciences http://biotecnia.unison.mx

Universidad de Sonora

ISSN: 1665-1456

Agronomic and metabolomic response of melon (Cucumis melo L.) seedlings under the application of high indole-3-acetic acid concentrations

Respuesta agronómica y metabolómica de plántulas de melón (Cucumis melo L.) bajo la aplicación de altas concentraciones de ácido indol-3-acético


Oscar Sariñana-Aldaco1*, Mariana Isabel Garcia-Terrazas1, Pablo Preciado-Rangel2, Óscar Silva-Marrufo3 and Eduardo Alberto Lara-Reimers4*

1 Departamento de Horticultura, Universidad Autónoma Agraria Antonio Narro, Saltillo 25315, Coahuila, México; terrazas. mariana92@gmail.com

2 Tecnológico Nacional de México, Instituto Tecnólogico de Torreón, Torreón 27170, Coahuila, México; pablo.pr@torreon. tecnm.mx

3 Tecnológico Nacional de México, Instituto Tecnólogico del Valle del Guadiana, Durango 34371, Durango, México; oscar.sm@ vguadiana.tecnm.mx

4 Departamento Forestal, Universidad Autónoma Agraria Antonio Narro, Saltillo 25315, Coahuila, México.


ABSTRACT

The objective of the study was to evaluate the foliar applica- tion of high concentrations of indole-3-acetic acid (IAA) (0.0, 0.5, 1, 2 and 3 mM) on agronomic and metabolomic variables in melon seedlings, using a completely randomized design. The results indicate that the IAA at 0.5 mM improved the height by 20.98 %, and from 1 mM it decreased as the concen- tration increased. For total fresh and dry biomass, the control and the 0.5 mM concentration were the same, however, from 1 mM it decreased as the IAA concentration increased. For biomolecules, chlorophylls (a 25.60 %, b 51.31 % and total 32.50 %), flavonoids (13.13 %), antioxidant capacity (54.37

%) and proteins (26.38 %) increased as the IAA concentration increased. Ascorbic acid decreased with the application of IAA, and with 0.5, 1 and 2 mM the concentration of caro- tenoids increased by 11.76, 11.76 and 8.82 %, respectively, however, with 3 mM they began to decrease, but even so, they exceeded the control. From 1 mM of IAA, the agronomic characteristics of the seedlings began to decrease, therefore, it is advisable to apply concentrations lower than 0.5 mM to elucidate how they work.

Keywords: growth regulator; elicitor; signaling molecule; toxicity; metabolites.


RESUMEN

El objetivo fue evaluar la aplicación foliar de altas concentra- ciones de AIA (0.0, 0.5, 1, 2 y 3 mM) sobre variables agronómi- cas y metabolómicas en plántulas de melón, usando un diseño completamente al azar. Los resultados indican que el AIA a 0.5 mM mejoró la altura 20.98 %, y a partir de 1 mM diminuyó a medida que aumentaba la concentración. Para biomasa fresca y seca total, el control y la concentración de

0.5 mM fueron iguales, sin embargo, a partir de 1 mM la dis- minuyó a medida que aumentaba la concentración de AIA. Para biomoléculas, aumentaron clorofilas (a 25.60 %, b 51.31

% y total 32.50 %), flavonoides (13.13 %), capacidad antioxi- dante (54.37 %) y proteínas (26.38 %) a medida que aumenta la concentración de AIA. El ácido ascórbico disminuyó con la aplicación del AIA, y con 0.5, 1 y 2 mM incrementó la con- centración de carotenoides en 11.76, 11.76 y 8.82 %, respec- tivamente, sin embargo, con 3 mM comenzaron a disminuir, pero, aun así, superaron al control. A partir de 1 mM de AIA comenzaron a disminuir las características agronómicas de las plántulas, por lo tanto, es recomendable aplicar concen- traciones inferiores a 0.5 mM para dilucidar cómo funcionan. Palabras clave: regulador de crecimiento; elicitor; molécula de señalización; toxicidad; metabolitos.


INTRODUCTION

Phytohormones (auxins, cytokinins, gibberellins, ethylene, abscisic acid, salicylic acid, benzoic acid and jasmonic acid) are natural compounds produced by plants that define a large part of development (Nehela et al., 2021; Zhao et al., 2021). They are synthesized at very low concentrations under normal conditions and can act at the synthesis site or be translocated to other organs to regulate different physiologi- cal and biochemical elicitation or inhibition processes (Fahad et al., 2015). In addition to this, they also function as signaling molecules, allowing plants to function during exposure to different types of stress (Rhaman et al., 2020). Under stress, whether biotic (insects, fungi, bacteria or viruses) or abiotic (salinity, drought, extreme temperatures and heavy metals), plants increase the synthesis of phytohormones, in order to carry out the signaling process and defense response occurs (Fahad et al., 2015; Ku et al., 2018).

Each phytohormone synthesized by the plant fulfills different functions and can act alone or together regula- ting different processes (Aerts et al., 2021). Auxins are the phytohormones of primary growth, be it root, stems, leaves, flowers and fruits (Chandra et al., 2018). Indole-3-acetic acid


16

Volume XXV, Issue 3

*Authors for correspondence: Oscar Sariñana Aldaco and Eduardo Alberto Lara Reimers e-mail: oscarsarinana390@gmail.com; edybertolare@hotmail.com

DOI: 10.18633/biotecnia.v25i3.1956

Received: February 7, 2023 ; Accepted: June 2, 2023;

Published: September 1, 2023

(IAA) is the most relevant auxin in terms of quantity and activity, which is synthesized from the aromatic amino acid tryptophan (Matilla, 2020). The synthesis is carried out in the apical meristems (apical buds), responsible for primary growth. For this reason, IAA controls processes such as cell division and elongation, participates in plant tropisms, acts in tissue differentiation, inhibits senescence, inhibits the sprouting of axillary buds (lateral meristems) and inhibits or- gan abscission (Chandra et al., 2018). Zinc (Zn) and boron (B) are related to IAA since its deficiency causes a lower synthesis of the phytohormone, which affects the processes in which it intervenes (Khan et al., 2022).

The IAA, when derived from a primary metabolite, turns into a secondary metabolite with important functions at the metabolomic level (Matilla, 2020). In this sense, metabo- lomics is one of the omic sciences that studies substances called metabolites, present in an organism, tissue or organ at a given stage of development and under particular environ- mental conditions (McLaughlin et al., 2023).

The melon (Cucumis melo L.) is a crop of economic importance that is produced worldwide, this being a source of carotenoids, vitamins, phenolic compounds, sugars, and minerals (Manchali et al., 2021). The main producing coun- tries are China, Morocco and Spain (Mahmoodi et al., 2020). Due to the importance that melon represents worldwide, it is important to produce quality seedlings. Obtaining quality seedlings depends on their genetics, physiology and the environment in which they develop (Sariñana-Aldaco et al., 2021). Today their production is negatively affected by different environmental factors, which makes them prone to different infections by pathogens (Ruan et al., 2009). Given this, there are promising alternatives such as the exogenous application of elicitors such as phytohormones that allow im- proving the growth, yield and quality of vegetables. Elicitors are substances that, when applied to plants in a preventive manner, help to avoid or reduce damage from biotic or abiotic stressors, which is reflected in improvements in agro- nomic characteristics and greater synthesis of antioxidants (Caicedo-López et al., 2021).

The application of phytohormones in horticultural plants is a common practice, however, regarding the use of IAA, there are no specific data on the concentrations that can improve or harm their growth and development. In any case, for the application of these products, the concentration to be used, the environmental conditions and the biological model of study must be taken into account, since they are factors that influence the results (Montaño-Mata and Méndez- Natera, 2009; Caicedo-López et al., 2021). In addition to this, there are precedents that indicate that melon is a vegetable susceptible to high concentrations of IAA (Montaño-Mata and Méndez-Natera, 2009).

As already mentioned, there is no specific data on the use of IAA in vegetables. For this reason, to obtain appro- ximate data on the concentrations that cause toxicity, an experiment was established in which high concentrations were tested in melon seedlings to evaluate the impact at the

agronomic and metabolomic level. With this, the aim is to find the concentration with which the melon seedlings begin to become intoxicated, and from there, in subsequent experi- ments, try lower concentrations that allow us to improve the productivity.

MATERIAL AND METHODS

Plant material and experimental conditions

Expedition hybrid melon seeds (Harris Moran®, USA) were sown in 0.5 L styrofoam containers with a mixture of peat moss and perlite substrate (1:1 v/v). The experiment was established in a greenhouse covered with polyethylene in the Horticulture Departamente of the Antonio Narro Auto- nomous Agrarian University (Saltillo, Mexico). The average temperature was 29 °C and 50 to 60 % relative humidity.

The treatments applied were the following: IAA at four concentrations (0.5, 1, 2 and 3 mM) and an absolute control with deionized water, which were established based on the study by Vidyullatha and Topno (2022). The treatments were applied via the foliar route, a manual sprinkler was used, and the plants were sprayed to the point of dripping. The applica- tions were every 10 days after the emergency, accumulating three applications during the experiment, which lasted 31 days. The applications were made between 6:00 p.m. and 7:00 p.m. Each IAA concentration was diluted in 10 mL of pure ethanol and subsequently made up to 500 mL with deionized water.

The irrigation system was manual, giving one irrigation per day at field capacity. The nutrition of the plants was ca- rried out with the nutrient solution Steiner (1961) at 25 %.

Sampling and evaluations

Sampling and evaluation were carried out 24 h after the third application of the treatments (31 days after emergence). The sampling consisted of four seedlings per treatment to determine the concentration of different biomolecules. The sampling was carried out by removing all the leaves of the seedlings and freezing them with liquid nitrogen and then storing them in a deep freezer at –80 °C. The evaluations consisted of four seedlings per treatment that were chosen to measure height, leaf area, stem diameter and fresh and dry biomass.

Height and stem diameter were measured with a flexo- meter, and their results were expressed in cm and mm, res- pectively. Leaf area was measured using the AccuPAR model Lp-80 PAR/LAI ceptometer (Decagon Devices, Inc., Pullman, WA, USA), and its results were expressed in cm2. The fresh and dry biomass was quantified with the help of a digital scale, and its results were reported in g and mg, respectively.

Biochemical analysis

For the determinations of the biomolecules in the leaves of the melon seedlings, the frozen tissue was lyophilized (Labconco Freezone 2.5 Plus Liter Freeze Dry System Model 7670021 Date 5-17-12new) and macerated to later carry out the extractions and quantifications according to the methodologies used.

The concentrations of foliar pigments were determined according to what was described by Wellburn (1994). For this, 15 mg of lyophilized tissue were mixed with 1.250 mL of 100 % methanol. The mixture was incubated for 24 h in the dark and the absorbance of the supernatant was evaluated in na ultraviolet-visible (Uv-Vis) spectrophotometer (Genesis 10s Uv-Vis, Thermo Scientific, Waltham, MA, USA) at 666, 653 and 470 nm. The pigments concentration was expressed in milligrams per gram of dry weight (mg g–1 DW), using the following formulas:

Chlorophyll a = [15.65(abs666)–7.34(abs653)] (1) Chlorophyll b = [27.05(abs653)–11.21(abs666)] (2) Total chlorophyll = chlorophyll a + chlorophyll b (3) Carotenoids =[(1000abs470)–2.86(chlorophyll a)–129.2(chlorophyll b)] (4)

221


The extraction of soluble proteins and 2,2-azino-bis(3- ethylbenzothiazoline-6-sulfonic acid) (ABTS) antioxidant capacity, 100 mg of lyophilized tissue were placed in a 2 mL tube and 2 mL of 0.1 M phosphate buffer (pH 7-7.2) were added. Then the mixture was homogenized with a vortexed for 20 s, sonicated for 5 min, and centrifuged at 12,500 rpm at 4 °C for 10 min. Finally, the supernatant was collected for analysis.

The soluble protein content was determined by the Brad- ford method (1976). In 2 mL tubes, 100 µL of the supernatant and 1 mL of Bradford reagent were added. Subsequently, it was left to rest for 5 min and the reading was taken in a Uv-Vis spectrophotometer at 595 nm. The results were reported in milligrams per gram of dry weight (mg g–1 DW).

The antioxidant capacity was determined by the method described by Re et al. (1999), which is based on the bleaching of the ABTS radical. The radical was obtained from the ratio of 7 mM ABTS with 2.45 mM potassium persulfate (K2S2O8) (1:1 v/v) in the dark for 16 h, then diluted with 20 % ethanol until obtaining an absorbance of 0.7 at 754 nm. For quantification, 20 µL of the extract and 980 µL of the radical dilution were added to a 2 mL tube. Subsequently, the mixtures were shak- en for 5 s and left to rest for 7 min in the dark. The reading was immediately carried out in a Uv-Vis spectrophotometer at 754 nm. The results were expressed in equivalents milligrams of ascorbic acid per gram of dry weight (mg AAE g–1 DW).

Total phenols were quantified by the method described by Singleton et al. (1999). The sample was extracted by plac- ing 100 mg of lyophilized tissue in a 2 mL tube and adding 2 mL of extraction solution (water: acetone 1:1 v/v). The mix- ture was vortexed for 20 s, then sonicated for 5 min. Finally, the samples were centrifuged at 12,000 rpm for 10 min at 4

°C to obtain the supernatant and proceed to quantification. Quantification was performed in test tubes by adding 50 μL of the supernatant, 0.2 mL of 100 % Folin Ciocalteu reagent,

0.5 mL of 20 % Na2CO3, and 5 mL of distilled water. The mix-

ture was allowed to settle for 30 min at 45 °C. Subsequently, the mixture was read at a wavelength of 750 nm in a Uv-Vis spectrophotometer. The results of phenols were expressed in equivalents milligrams of gallic acid per gram of dry weight (mg GAE g–1 DW).

The flavonoids were quantified following the method- ology of Zhishen et al. (1999). Compounds were extracted by placing 100 mg of lyophilized tissue in 2 mL tubes and adding 2 mL of 100 % methanol. The mixture was homogenized by vortexing for 20 s, then sonicated for 5 min, and centrifuged at 4,000 rpm for 10 min at 4 °C to obtain the supernatant. For quantification, 250 µL of the supernatant were added to a test tube, followed by the addition of 75 µL of 5 % NaNO2 and vortexed. After 5 min, 150 µL of 10 % AlCl3 were added; Immediately, 0.5 mL of 1 M NaOH were added, plus 2.025 mL of distilled water. Finally, the absorbance at 510 nm was measured in a Uv-Vis spectrophotometer. The results were reported in equivalents milligrams of catechin per gram of dry weight (mg CE g–1 DW).

Ascorbic acid was quantified by high performance li- quid chromatography (HPLC) with Uv detector (HPLC VARIAN 920LC), using the method of Nour et al. (2010). The extraction was similar to that of flavonoids. The obtained supernatant was filtered through 0.45 µm pore diameter membranes and transferred to vials for injection into the chromatograph. The mobile phases were 50 mM NaH2PO4 with a pH of 2.8 (Phase A) and 100 % acetonitrile (Phase B), with a ratio of 80:20, flow rate of 1.0 mL min-1, and the column used was aquasil C-18 at 60 °C. The injection volume was 50 µL. Detection of the molecule was performed at 230 nm. Results were reported in milligrams per hundred grams of dry weight (mg 100 g–1 DW).


Experimental design and data analysis

A completely randomized design was used, considering eight replicates per treatment (four for biomolecule analysis and four for agronomic variables). An analysis of variance and Fisher’s LSD test of means (p ≤ 0.05) were performed. A Pearson correlation analysis was also performed between the agronomic variables and the biomolecules evaluated. Statistical procedures were performed using Infostat soft- ware (v2020) and GraphPad Prism 8 statistical software.


RESULTS

Seedling growth and biomass

The results show that the foliar application of IAA signifi- cantly affected the growth (Table 1) and biomass (Figure 1) of the melon seedlings. For height, the concentration of 0.5 mM IAA exceeded the control by 20.98 %, and the rest of the treatments were the same as the control. There were no statistically significant differences in stem diameter and leaf area.

Regarding fresh aerial biomass, it can be seen that the control and the 0.5 mM IAA concentration are statistically the same, however, the 1 mM concentration began to decrease as the IAA concentration increased, where the 3 mM treatment

Table 1. Effect of IAA on the growth of melon seedlings.

Tabla 1. Efecto de AIA en el crecimiento de plántulas de melón.


IAA (mM)

Height (cm)

Stem diameter (mm)

Leaf area (cm2)

AbC

6.67 ± 0.57 bc

0.48 ± 0.02 ab

16.47 ± 0.23 a

0.5

8.07 ± 0.15 a

0.52 ± 0.02 a

18.46 ± 0.86 a

1

7.23 ± 1.00 ab

0.50 ± 0.005 ab

17.84 ± 1.99 a

2

5.93 ± 0.75 c

0.47 ± 0.02 ab

15.70 ± 2.53 a

3

5.73 ± 0.20 c

0.46 ± 0.03 b

15.68 ± 2.18 a

CV (%)

9.35

5.80

10.62

Different letters within each column indicate significant difference between treatments (LSD, p ≤ 0.05). n = 4; ± standard deviation (SD). AbC: absolute control; CV: coefficient of variation.

Letras diferentes dentro de cada columna indican diferencia significativa entre tratamientos (LSD, p ≤ 0.05). n = 4; ± desviación estándar (SD). AbC: control absoluto; CV: coeficiente de variación.



Figure 1. Effect of IAA on biomass accumulation in melon seedlings. Different letters indicate significant differences between treatments (LSD, p

≤ 0.05). n = 4; ± SD. FAB: fresh aerial biomass; FRB: fresh root biomass; TFB: total fresh biomass; DAB: dry aerial biomass; DRB: dry root biomass; TDB: total dry biomass; AbC: absolute control.

Figura 1. Efecto de AIA en la acumulacion de biomasa en plántulas de me-

lón. Letras diferentes indican diferencias significativas entre tratamientos (LSD, p ≤ 0.05) n = 4; ± SD. FAB: biomasa aérea fresca; FRB: biomasa de raíz fresca; TFB: biomasa fresca total; DAB: biomasa aérea seca; DRB: biomasa de raíz seca; TDB: biomasa seca total; AbC: control absoluto.

was outperformed by the control by 77.46 %. Regarding the fresh root biomass, the treatments of 0.5, 1 and 2 mM of IAA were equal to the control, and the 3 mM showed an inferio- rity of 93.20 %, compared to the control. Regarding the total fresh biomass, the 0.5 and 1 mM IAA treatments were equal to the control, and the 2 and 3 mM were 60.31 and 79.91 % lower, respectively.

In aerial dry biomass, the control and the 0.5 mM IAA treatment were the same, and from the 1 mM it began to decline, with the 3 mM showing the least amount, being surpassed by the control in a 117.38 %. Root dry biomass was only negatively affected by the 3 mM IAA concentra- tion, being 69.34 % minor than the control. The rest of the treatments were statistically equal to the control. In total dry biomass, the control and the 0.5 mM IAA treatment were the same, and decreasing considerably from the 1mM, where the 3 mM concentration of was the most affected as it was surpassed by the control by 103.92 %.


Foliar pigments of melon seedlings

The concentration of chlorophylls and carotenoids was affec- ted by the different treatments applied (Figure 2).

In chlorophyll a, all the IAA treatments statistically out- performed the control, being the 3 mM the one that showed the best results, surpassing it by 25.60 %. For chlorophyll b, in the same way, all the concentrations with IAA surpassed the control, being the one with 3 mM the best, surpassing it by 51.31 %.

In total chlorophyll, all the concentrations with IAA surpassed the control, where once again the 3 mM was the one that showed the best results, surpassing it by 32.50 %. Regarding carotenoids, it can be seen that the 0.5, 1, and 2 mM IAA treatments were the best, surpassing the control by 11.76, 11.76, and 8.82 %, respectively. The 3 mM IAA concen- tration was statistically superior to the control, but inferior to the rest of the treatments.


Antioxidants, antioxidant capacity, and proteins of me- lon seedlings leaves

The results for these biochemical variables were highly varied (Figure 3). It can be seen that the IAA caused a decrease in as- corbic acid in all its concentrations, compared to the control. For total phenols there were no significant differences.

In flavonoids, it is observed that they increased as the IAA concentration increased, with the 3 mM showing the best results, exceeding the control by 13.13 %. Regarding an- tioxidant capacity, the 2 and 3 mM IAA treatments were the best, surpassing the control by 54.37 and 38.21 %, respecti- vely. In soluble proteins, it can be seen that the 2 and 3 mM IAA concentrations were superior to the control, exceeding it by 24.86 and 26.38 %, respectively.


Correlation analysis

A Pearson correlation analysis was performed for agrono- mic and biochemical variables (Figure 4). In the agronomic variables it is observed that there is a positive correlation between total fresh biomass, dry aerial biomass and total dry biomass with fresh aerial biomass. There was also a positive correlation between aerial dry biomass and total dry biomass with total fresh biomass. Total dry biomass was positively correlated with aerial dry biomass.


Figure 2. Effect of IAA on the concentration of foliar pigments in melon seedlings. Different letters indicate significant differences between treatments (LSD, p ≤ 0.05). n = 4; ± SD. Chl a: chlorophyll a; Chl b: chlorophyll b; Chl T: total chlorophyll; DW: dry weight; AbC: absolute control.

Figura 2. Efecto del AIA en la concentración de pigmentos foliares en plantulas de melón. Letras diferentes indican diferencias significativas entre tratamientos (LSD, p ≤ 0.05). n = 4; ± SD. Chl a: clo- rofila a; Chl b: clorofila b; Chl T: clorofila total; DW: peso seco; AbC: control absoluto.



Figure 3. Effect of IAA on the concentration of an- tioxidants, antioxidant capacity, and proteins in the leaves of melon seedlings. Different letters indicate significant differences between treatments (LSD,

p ≤ 0.05). n = 4; ± SD. DW: dry weight; GAE: gallic acid equivalents; CE: catechin equivalents; AAE: ascorbic acid equivalents; AC: antioxidant capacity; AbC: absolute control.

Figura 3. Efecto del AIA en la concentarción de an- tioxidantes, capacidad antioxidante y proteínas en las hojas de plántulas de melón. Letras diferentes indican diferencias significativas entre tratamien- tos (LSD, p ≤ 0.05). n = 4; ± SD. DW: peso seco; GAE: equivalentes de ácido gálico; CE: equivalentes de catequina; AAE: equivalentes de ácido ascórbico; AC: capacidad antioxidante; AbC: control absoluto.


Figure 4. Pearson correlation matrix of agronomic (growth and biomass) (A) and biochemical (B) variables determined in leaves of melon seedlings treated with IAA. FAB: fresh aerial biomass; FRB: fresh root biomass; TFB: total fresh biomass; DAB: dry aerial biomass; DRB: dry root biomass; TDB: total dry biomass; Chl a: chlorophyll a; Chl b: chlorophyll b; Chl T: total chlorophyll; AC: antioxidant capacity.

Figura 4. Matriz de correlación de Pearson de variables agronómicas (crecimiento y biomasa) (A) y bioquímicas (B) determinadas en hojas de plán-

tulas de melón tratadas con AIA. FAB: biomasa aérea fresca; FRB: biomasa de raíz fresca; TFB: biomasa fresca total; DAB: biomasa aérea seca; DRB: biomasa de ráiz seca; TDB: biomasa seca total; Chl a: clorofila a; Chl b: clorofila b; Chl T: clorofila total; AC: capacidad antioxidante.

Regarding the biochemical variables, it can be seen that chlorophyll b and total were positively correlated with chlorophyll a. Total chlorophyll was also positively correlated with chlorophyll b. Flavonoids were positively correlated with chlorophyll a, b and total. Antioxidant capacity and so- luble proteins were also positively correlated with flavonoids. Ascorbic acid showed a negative correlation with the rest of the biomolecules.


DISCUSSION

Seedling growth and biomass

The production of quality seedlings depends on different factors (genetics, physiology and conditions for shoot and root development) (Giménez et al., 2008). However, in recent years the production of seedlings is affected by biotic and abiotic factors that negatively impact their quality (Ruan et al., 2009). These situations have been key in the development of different techniques that allow the best production of seedlings, which allows obtaining more profitable and qua- lity productions. One of the techniques used is the use of eli- citors such as phytohormones, which when applied to plants activate their metabolism and make them more resistant to subsequent factors that generate stress (Sariñana-Aldaco et al., 2020; Meena et al., 2022).

The results obtained for growth variables indicate that only in height there were significant differences with the concentration of 0.5 mM of IAA, which is possible thanks to the fact that IAA is involved in the primary growth of plants and its synthesis occurs mainly in the apical meristems (api- cal buds) (Salehi et al., 2014). From the 1 mM concentration, the height began to decrease, possibly due to the toxicity generated by the high concentrations of IAA applied. It is believed that in the variables of stem diameter and leaf area

there were no differences because IAA is involved in primary growth and inhibits the development of lateral meristems that are in charge of secondary growth (Chandra et al., 2018). Regarding the biomass, the concentration of 0.5 mM of

IAA and the control were the same, and from the concentra- tion of 1 mM it began to decline. This tells us about a possible intoxication by the IAA. When these types of substances are applied to elicit plants, it is very important to take into account different factors such as the biological study model, environmental conditions, and the concentrations of the eli- citor to be used, since these elicitors show favorable results at low concentrations (Montaño-Mata and Mendez-Natera, 2009). Due to this, when these types of substances are used, it is advisable to review the literature on their use, and in the event that there is little existing information, it is recommen- ded to carry out preliminary tests that allow obtaining infor- mation on the concentrations that improve the agronomic characteristics of the crops or in the case of this study of the concentrations that cause toxicity.

Similar results are reported by Gil-Rivero et al. (2016),

who indicate that the lowest concentration of IAA (0.5 mg L–1) was optimal in the in vitro propagation of papaya, and as the concentration rose, toxicity symptoms were observed wich negatively affected the propagation. In the same way, Montaño-Mata and Méndez-Natera (2009), mentioned that the yield of melon fruits was negatively affected as the IAA concentration rose up to 200 mg L–1.

When an appropriate threshold for the organism is exce- eded, negative responses are generated called toxicity (when it comes to biochemical compounds) or inhibition (physical factors such as temperature or irradiance) (Juárez-Maldona- do et al., 2021). In the case of this study, for the height and biomass variables, toxicity was generated (from 1 mM of IAA), because IAA is a biochemical compound.


Foliar pigments of melon seedlings

The chlorophylls are one of the most important pigments that plants have, this because they control photosynthetic activity and are important in the production of photoassimi- lates (Zepka et al., 2019). In addition to this, plants also have accessory pigments such as carotenoids, which have photo- protective properties, and capture light in regions that are not covered by chlorophylls, which improves photosynthetic activity (Collini, 2019).

The results of the present investigation indicate that as the concentration of IAA in the seedlings increased, the concentration of chlorophylls increased. In carotenoids, all the treatments with IAA increased their concentration, compared to the control. However, with the concentration of 3 mM the carotenoids began to decrease. Li et al. (2020) mentioned that the application of IAA (30 and 60 mg L–1) in Cyphomandra betacea seedlings increased the concentration of chlorophylls and carotenoids. However, by increasing the IAA concentration (90 and 120 mg L–1), the concentration of the pigments began to decrease significantly.

The results obtained are the product of the IAA appli- cations, since it is involved in the synthesis of pigments and in the accumulation of sugars such as glucose and fructose (Huan et al., 2021). All this is related to improvements in pho- tosynthetic activity, however, applying high concentrations to plants can cause pigment oxidation as observed in carote- noids, which decreased significantly from 3 mM IAA concen- tration, compared to with the rest of the IAA treatments. This situation also helped to prevent oxidation of chlorophylls, as carotenoids are pigments involved in the detoxification of re- active oxygen species (ROS), where they tend to oxidize and thus protect chlorophylls to some extent, which is believed to have occurred in this study (Collini, 2019).


Antioxidants, antioxidant capacity, and proteins of me- lon seedling leaves

Antioxidants are compounds synthesized by plants in their different organs, characterized by delaying or preventing oxidative damage to other molecules, this by reducing ROS produced during stress (Hasanuzzaman et al., 2020).

The results of the present investigation show that flavonoids and antioxidant capacity were elevated with the highest IAA concentrations. Flavonoids are secondary me- tabolites responsible for the coloration of flowers, fruits and leaves.They are involved in pollination by attracting insects and have a photoprotective and antioxidant effect (Ferre- yra et al., 2021). Gangwar et al. (2011) mentioned that the application of IAA at 10 µM in pea seedlings increased the concentration of reduced glutathione; important antioxidant in the defense system of plants. Possibly, this is because IAA at high concentrations can cause toxicity and consequently the production of ROS, which promote the synthesis of di- fferent antioxidants (Hasanuzzaman et al., 2020). In this way, Wang et al. (2022) mentioned that flavonoids can act as auxin transport inhibitors in high concentrations, which indicates

that the higher the concentration of IAA in plants, the greater the accumulation of flavonoids.

Enzymes are proteins that are involved in different pro- cesses such as the antioxidant system, and in this study, it can be seen that increasing the IAA concentration increased the proteins, which may be related to the greater antioxidant ca- pacity. Gong et al. (2019) indicated that in spinach seedlings, the activity of the superoxide dismutase enzyme was impro- ved as the IAA concentration increased. It is very common that when some metabolite is found in excess, plants try to mitigate the stress that can be caused, and they do this by metabolizing it to a certain degree (Godoy et al., 2021). This may be a clear example of IAA, where in order to enter it into plant metabolism, specific transporters are required, which are proteins, which in this case is believed to be another explanation for the increase in proteins (Wang et al., 2022).

In the study it is also observed that the IAA applications decreased the concentration of ascorbic acid, in comparison to the control. The IAA has the ability to transform peroxi- dase enzymes in highly specific oxygenases that generate ROS, with oxidizing power, and one of the most important peroxidases in the antioxidant system of plants is ascorbate peroxidase, which is affected by IAA and does not fulfill its antioxidant function, but instead oxidizes ascorbic acid with the ROS produced (Rogozhin and Rogozhina, 2004).


Correlation analysis

The analysis of the agronomic variables showed a positive correlation between the variables of fresh biomass and dry biomass, which is evident when the conditions in which the experiment is carried out are homogeneous, being the case of this experiment. When conditions are heterogeneous, dry biomass is more accurate than fresh biomass to provide information on crop yield and productivity (González-Aguiar et al., 2018).

Regarding the biochemical variables, chlorophyll a and b showed a positive correlation. This because chlorophyll a is the main pigment of photosynthesis, traps light energy and emits high-energy electrons in the two photosystems, and in terms of chlorophyll b is the accessory pigment, which pas- ses the trapped energy to chlorophyll a (Zepka et al., 2019). Flavonoids showed a positive correlation with chlorophylls, and this is possible thanks to the fact that flavonoids protect the photosynthetic apparatus from ultraviolet radiation (Zhou et al., 2016).

The antioxidant capacity and the proteins showed a positive correlation with the flavonoids, and this is due to the existing relationship in the defense system. Flavonoids are a very broad group of antioxidants, and some proteins such as enzymes, have high antioxidant power (Zhou et al., 2016; Leija-Martínez et al., 2018).

The IAA caused the oxidation of ascorbic acid and the increase of the rest of the biomolecules, thus explaining the negative correlation (Rogozhin and Rogozhina, 2004; Hasanuzzaman et al., 2020).



CONCLUSIONS

The results indicated that the use of IAA modified the agro- nomic and biochemical variables of the melon seedlings. It is concluded that the concentration of 0.5 mM of IAA is adequate to improve the agronomic characteristics of melon seedlings. In addition to this, it also improved the synthesis of chlorophyll a, b, total, carotenoids and antioxidant capacity, compared to the control. For this reason, it is advisable to handle IAA concentrations below 0.5 mM, which will possibly promote the production of vigorous seedlings, with impro- ved photosynthetic activity and a better defense system. Otherwise, if concentrations higher than 0.5 mM of IAA are handled, the quality of the seedlings will decrease (less vi- gor), as observed in the present study.


CONFLICTS OF INTEREST

The authors declare that there are not conflicts of interest related to this article.


REFERENCES

Aaerts, N., Pereira Mendes, M. and Van Wees, S.C. 2021. Multiple levels of crosstalk in hormone networks regulating plant defense. The Plant Journal. 105: 489-504. https://doi. org/10.1111/tpj.15124

Bradford, M.M. 1976. A rapid and sensitive method for the quantitation of microgram quantities of protein utilizing the principle of protein-dye binding. Analytical Biochemistry. 72: 248-254. https://doi.org/10.1016/0003-2697(76)90527-3

Caicedo-López, L.H., Aranda, A.L.V., Gómez, C.E.Z., Márquez, E.E. and Zepeda, H.R. 2021. Elicitors: Bioethical implications for agriculture and human health. Revista Bioética. 29: 76-86. https://doi.org/10.1590/1983-80422021291448

Chandra, S., Askari, K. and Kumari, M. 2018. Optimization of indole acetic acid production by isolated bacteria from Stevia rebaudiana rhizosphere and its effects on plant growth. Journal of Genetic Engineering and Biotechnology. 16: 581-586. https://doi.org/10.1016/j. jgeb.2018.09.001

Collini, E. 2019. Carotenoids in photosynthesis: the revenge of the “accessory” pigments. Chem. 5: 494-495. https://doi. org/10.1016/j.chempr.2019.02.013

Fahad, S., Hussain, S., Matloob, A., Khan, F.A., Khaliq, A., Saud, S.,

Hassan, S., Shan, D., Khan, F., Ullah, N., Faiq, M., Khan, M.R., Tareen, A. K., Khan, A., Ullah, A., Ullah, N. and Huang, J. 2015. Phytohormones and plant responses to salinity stress: a review. Plant Growth Regulation. 75: 391-404. https://doi. org/10.1007/s10725-014-0013-y

Ferreyra, M.L.F., Serra, P. and Casati, P. 2021. Recent advances on the roles of flavonoids as plant protective molecules after UV and high light exposure. Physiologia Plantarum. 173: 736-749. https://doi.org/10.1111/ppl.13543

Gangwar, S., Singh, V.P., Prasad, S.M. and Maurya, J.N. 2011. Differential responses of pea seedlings to indole acetic acid under manganese toxicity. Acta Physiologiae Plantarum. 33: 451-462. https://doi.org/10.1007/s11738-010-0565-z

Giménez, G., Andriolo, J.L., Janisch, D. and Godoi, R. 2008. Closed soilless growing system for producing strawberry bare root transplants and runner tips. Pesquisa Agropecuária

Brasileira. 43: 1757-1761. https://doi.org/10.1590/S0100- 204X2008001200016

Gil-Rivero, A.E., López-Medina, E. and López-Zavaleta, A. 2016. Efecto sinérgico del ácido indolacético, ácido giberélico y 6-bencilaminopurina en la propagación in vitro de” papaya” Carica papaya L. (Caricaceae). Arnaldoa. 23: 577-586. https:// doi.org/10.22497/arnaldoa.232.23210

Godoy, F., Olivos-Hernández, K., Stange, C. and Handford, M. 2021. Abiotic stress in crop species: improving tolerance by applying plant metabolites. Plants. 10: 186. https://doi. org/10.3390/plants10020186

Gong, Q., Li, Z., Wang, L., Dai, T., Kang, Q. and Niu, D. 2019. Exogenous of indole-3-acetic acid application alleviates copper toxicity in spinach seedlings by enhancing antioxidant systems and nitrogen metabolism. Toxics. 8:

1. https://doi.org/10.3390/toxics8010001

González-Aguiar, D., Álvarez-Hernández, U. and Lima-Orozco,

R. 2018. Acumulación de biomasa fresca y materia seca por planta en el cultivo intercalado caupí-sorgo. Centro Agrícola. 45: 77-82.

Hasanuzzaman, M., Bhuyan, M.B., Zulfiqar, F., Raza, A., Mohsin, S.M., Mahmud J.A., Fujita, M. and Fotopoulos, V. 2020. Reactive oxygen species and antioxidant defense in plants under abiotic stress: Revisiting the crucial role of a universal defense regulator. Antioxidants. 9: 681. https://doi. org/10.3390/antiox9080681

Huan, Y., Yang, L., Liu, Q., Lin, L., Liao, M., Wang, Z., Liang, D., Xia, H., Tang, Y., Lv, X. and Wang, J. 2021. Effects of indole acetic acid on the growth and selenium absorption characteristics of Cyphomandra betacea seedlings. Acta Physiologiae Plantarum. 43: 1-8. https://doi.org/10.1007/s11738-021-

03247-9

Juárez-Maldonado, A., Tortella, G., Rubilar, O., Fincheira, P. and Benavides-Mendoza, A. 2021. Biostimulation and toxicity: The magnitude of the impact of nanomaterials in microorganisms and plants. Journal of Advanced Research. 31: 113-126. https://doi.org/10.1016/j. jare.2020.12.011

Khan, M.M.H., Ahmed, N., Naqvi, S.A.H., Ahmad, B., Dawar, K.,

Rahi, A.A., Shoaib, S., Datta, R., Fahad, S., Syed, A., Bahkali,

A.H. and Danish, S. 2022. Synchronization of zinc and boron application methods and rates for improving the quality and yield attributes of Mangifera indica L. on sustainable basis. Journal of King Saud University-Science. 34: 102280. https://doi.org/10.1016/j.jksus.2022.102280

Ku, Y.S., Sintaha, M., Cheung, MY. and Lam, H.M. 2018. Plant hormone signaling crosstalks between biotic and abiotic stress responses. International Journal of Molecular Sciences. 19: 3206. https://doi.org/10.3390/ijms19103206

Leija-Martínez, P., Benavides-Mendoza, A., Cabrera-De La Fuente, M., Robledo-Olivo, A., Ortega-Ortíz, H., Sandoval- Rangel, A. and González-Morales, S. 2018. Lettuce biofortification with selenium in chitosan-polyacrylic acid complexes. Agronomy. 8: 275. https://doi.org10.3390/ agronomy8120275

Li, Z., Zhu, J., Wang, Y., Lin, L., Liao, M.A., Wang, J., Deng, Q., Tang, Y., Wang, X. and Wang, J. 2020. Effects of exogenous indole acetic acid on growth and cadmium accumulation of Cyphomandra betacea seedlings. International Journal of Environmental Analytical Chemistry. 102: 771-779. https:// doi.org/10.1080/03067319.2020.1726336

Mahmoodi, A., Yavari, G. and Kalwandy, R. 2020. Investigating Iran’s Situation in the melons and cantaloupe World Market & Screening of business partners. Iranian Journal of Agricultural Economics and Development Research. 51(2): 295-312. https://doi.org/668731.277871.2019.ijaedr/22059.10

Manchali, S., Chidambara Murthy, K.N. and Patil, B.S. 2021. Nutritional composition and health benefits of various botanical types of melon (Cucumis melo L.). Plants. 10: 1755. https://doi.org/10.3390/plants10091755

Matilla, A.J. 2020. Auxin: Hormonal signal required for seed development and dormancy. Plants. 9: 705. https://doi. org/10.3390/plants9060705

McLaughlin, S., Zhalnina, K., Kosina, S., Northen, T.R. and Sasse,

J. 2023. The core metabolome and root exudation dynamics of three phylogenetically distinct plant species. Nature Communications. 14: 1649. https://doi.org/10.1038/s41467- 023-37164-x

Meena, M., Yadav, G., Sonigra, P., Nagda, A., Mehta, T., Swapnil, P. and Marwal, A. 2022. Role of elicitors to initiate the induction of systemic resistance in plants to biotic stress. Plant Stress. 5: 100103. https://doi.org/10.1016/j.stress.2022.100103

Montaño-Mata, N.J.M. and Méndez-Natera, J.R.M. 2009. Efecto del ácido indol acético y ácido naftaleno acético sobre el rendimiento en melón (Cucumis melo L). Revista Cientifica UDO Agricola. 9: 793-801.

Nehela, Y., Taha, N.A., Elzaawely, A.A., Xuan, T.D., Amin, M.A., Ahmed, M.E. and El-Nagar, A. 2021. Benzoic acid and its hydroxylated derivatives suppress early blight of tomato (Alternaria solani) via the induction of salicylic acid biosynthesis and enzymatic and nonenzymatic antioxidant defense machinery. Journal of Fungi. 7(8): 663. https://doi. org/10.3390/jof7080663

Nour, V., Trandafir, I. and Ionica, M.E. 2010. HPLC organic acid analysis in different citrus juices under reversed phase conditions. Notulae Botanicae, Horti Agrobotanici, Cluj- Napoca. 38: 44-48. https://doi.org/10.15835/nbha3814569

Rhaman, M.S., Imran, S., Rauf, F., Khatun, M., Baskin, C.C., Murata, Y. and Hasanuzzaman, M. 2020. Seed priming with phytohormones: An effective approach for the mitigation of abiotic stress. Plants. 10: 37. https://doi.org/10.3390/ plants10010037

Re, R., Pellegrini, N., Proteggente, A., Pannala, A., Yang, M. and Rice-Evans, C. 1999. Antioxidant activity applying an improved ABTS radical cation decolorization assay. Free Radical Biology and Medicine. 26: 1231-1237. https://doi. org/10.1016/S0891-5849(98)00315-3

Rogozhin, V.V. and Rogozhina, T.V. 2004. The role of indole- 3-acetic acid in peroxidase oxidation of ascorbic acid catalyzed by horseradish peroxidase. Biology Bulletin of the Russian Academy of Sciences. 31: 342-345. https://doi. org/10.1023/B:BIBU.0000036937.82324.36

Ruan, J., Yoon, C., Yeoung, Y., Larson, K.D. and Ponce, L. 2009. Efficacy of highland production of strawberry transplants. African Journal of Biotechnology. 8: 1497-1501. Salehi, M., Hosseini, B. and Jabbarzadeh, Z. 2014. High– frequency in vitro plantlet regeneration from apical bud

as a novel explant of Carum copticum L. Asian Pacific Journal of Tropical Biomedicine. 4: S424-S428. https://doi. org/10.12980/APJTB.4.2014C529

Sariñana-Aldaco, O., Sánchez-Chávez, E., Troyo-Diéguez, E., Tapia-Vargas, L.M., Díaz-Pérez, J.C. and Preciado-Rangel, P. 2020. Foliar aspersion of salicylic acid improves nutraceutical quality and fruit yield in Tomato. Agriculture. 10: 482. https:// doi.org/10.3390/agriculture10100482

Sariñana-Aldaco, O., Benavides-Mendoza, A., Juarez-Maldonado, A., Robledo-Olivo, A., Rodríguez-Jasso, R.M., Preciado- Rangel, P. and González-Morales, S. 2021. Effect of extracts of Sargassum spp. in growth and antioxidants of tomato seedlings. Ecosistemas y Recursos Agropecuarios. 8: e2814. https://doi.org/10.19136/era.a8n2.2814

Singleton, V.L., Orthofer, R. and Lamuela-Raventós, R.M. 1999. Analysis of total phenols and other oxidation substrates and antioxidants by means of folin-ciocalteu reagent. In Methods in Enzymology. 299: 152-178. https://doi. org/10.1016/S0076-6879(99)99017-1

Steiner, A.A. 1961. A universal method for preparing nutrient solutions of a certain desired composition. Plant and Soil. 15: 134-154. https://doi.org/10.1007/BF01347224

Vidyullatha, L.M.M. and Topno, S.E. 2022. Effect of Naphthalene Acetic Acid & Indole Acetic Acid on Growth, Yield and Quality of Muskmelon (Cucumis melo L.). International Journal of Plant & Soil Science. 34: 1460-1469. https://doi.org/10.9734/ IJPSS/2022/v34i2231519

Wang, S., Sun, G., Luo, Y., Qian, W., Fan, K., Ding, Z. and Hu, J. 2022. Role of IAA and Primary Metabolites in Two Rounds of Adventitious Root Formation in Softwood Cuttings of Camellia sinensis (L.). Agronomy. 12: 2486. https://doi. org/10.3390/agronomy12102486

Wellburn, A.R. 1994. The spectral determination of chlorophylls a and b, as well as total carotenoids, using various solvents with spectrophotometers of different resolution. Journal of Plant Physiology. 144: 307-313. https://doi.org/10.1016/ S0176-1617(11)81192-2

Zepka, L.Q., Jacob-Lopes, E. and Roca, M. 2019. Catabolism and bioactive properties of chlorophylls. Current Opinion in Food Science. 26: 94-100. https://doi.org/10.1016/j. cofs.2019.04.004

Zhao, B., Liu, Q., Wang, B. and Yuan, F. 2021. Roles of phytohormones and their signaling pathways in leaf development and stress responses. Journal of Agricultural and Food Chemistry. 69: 3566-3584. https:doi.org/10.1021/ acs.jafc.0c07908

Zhishen, J., Mengcheng, T. and Jianming, W. 1999. The determination of flavonoid contents in mulberry and their scavenging effects on superoxide radicals. Food chemistry. 64: 555-559. https://doi.org/10.1016/S0308-

8146(98)00102-2

Zhou, R., Su, W.H., Zhang, G.F., Zhang, Y.N. and Guo, X.R. 2016. Relationship between flavonoids and photoprotection in shade-developed Erigeron breviscapus transferred to sunlight. Photosynthetica. 54: 201-209. https://doi. org/10.1007/s11099-016-0074-4