Studies on morphological and biochemical alterations associated with drought tolerance in linseed
Abstract
Water deficit disturbs various physiological and biochemical traits and has adverse bearing on plant growth and productivity. This study aims to explore linseed's response to drought stress and its impact on germination, growth, chlorophyll fluorescence, proline, carbohydrates, and protein profiling. It seeks to enhance understanding of linseed genotype diversity and its correlation with yield for future breeding efforts. In this study, around 32 genotypes were utilized for the evaluation of morphological and biochemical analysis for different traits under two environmental conditions viz., irrigated condition and water-stressed condition. Morphological characterization result indicates that germplasms like RLC-178, RLC-179, RLC-180, RFC-19-1, RLC-177 showed good performance under stressed condition as this germplasms does not show any reduction in all traits. Whereas R-2497, R-2596, R-2598, R-2728, R-3797, R-3986 showed reduction in all morphological trait as indicating susceptibility of germplasms for water-stressed condition.R-2596 (3.89 mg/g)exhibited minimal chlorophyll decreased, suggesting high tolerance, while R-3953 (12.33 mg/g), showed significant decreased, indicating susceptibility to water stress.RLC-177 (27 mg/g), R-2452 (26 mg/g), R-2323 (25 mg/g), R-3751 (25 mg/g), R-3549 ( mg/g)showed increased carbohydrate content under water stress, indicating tolerance. RFC-19-2 (25 mg/g), R-2272 (24 mg/g), R-2281 (12 mg/g), R-3785 (12 mg/g), and (R-3977 (11 mg/g) show decreased carbohydrate content under water stress, indicating susceptibility to water stress condition. R-2323 (11.89 µmole/gm) shows a high increased in proline content under stress condition. Protein profiling using SDS-PAGE gel electrophoresis showed total eight scorable bands were recorded under the irrigated condition and six scorable bands were obtained under stressed conditions. Overall, the research indicates low level genetic variation in the total seed protein profiles analyzed within linseed germplasms.
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Introduction
Linseed also referred to as flax (Linum usitatissimum L.), is a self-pollinated crop widely adapted to temperate climates of the world. It is an annual plant belonging to the genus Linum and the family Linaceae having 14 genera and over 200 species [4] . The linseed's genome measures between ~368-373 Mb [29] . The name Linum is derived from the Celtic word lin, which means "thread", and the name usitatissimum is Latin for "most useful". The terms flax and linseed have particular meanings, depending on the region. There are two morpho types of L. usitatissimum, "flax type" and "linseed type" [9,17] . In Europe, flax refers to the seed grown for fibre (linen) production, while linseed refers to oilseed flax grown for industrial and nutritional uses [4] . The crop is predominantly self-pollinated, but out-crossing (less than 2%) occasionally results from insect activity [36] . Based on the diversity of plant types, linseed has two centers of origin i.e., South West Asia, particularly in India [38,30] and the Mediterranean region of Europe [6] .
Linseed's high linolenic acid offers anti-ulcer, antioxidant, anti-carcinogenic, anti-inflammatory properties, commonly used in industrial processes like paint production [39] . Like many other field crops, flax also faces abiotic stresses during its growth period. Among various abiotic stresses, hydropenia i.e., drought stress is the most detrimental stress inhibiting the growth and development of flax at vegetative as well as reproductive stage [24] . Drought stress also diminishes leaf expansion and production and promotes senescence and abscission [15] . Plants can adjust to water stress by changing the metabolism of their cells, thereby triggering different defence systems [10] . It involves the synthesis and accumulation of small compatible solutes (Osmolytes), such as proline, glycine betaine, sugars, and specific inorganic ions [5] . Proline accumulation is a notable metabolic response of plants to drought stress conditions [21] . Linseed is an important cultivated crop; it is very much required to conserve the genetic material of linseed from as wide resources as possible for future breeding efforts. To maintain and exploit the genetic resources, it is required to understand the amount and distribution of genetic variation within and among accessions. In this study, we aim to investigate the response of linseed to drought stress and the effects of water stress on the germination and growth of linseed seedlings, including effects on chlorophyll fluorescence and on accumulations of proline, carbohydrates, and analysis of protein profiling.
Materials and Methods
Material (Germplasm)
The linseed genotypes for the present study were obtained from the germplasm maintained at Indira Gandhi Agricultural University, Raipur (C. G.
Conduct of field experiment
The experiment was laid in randomized block design (RBD) at the Oilseed Research Station, Latur (M.S.) India, during the Rabi season of 2022. Selected germplasm lines grownat two different plots viz., Normal condition and water stressed condition with two replications of each plot. In each replication, the genotypes were grown in 2 m long rows with spacing of 30 cm between rows and 10 cm between the plants. Within a row, seeds were hand-dibbled 10 cm apart. A fertilizer dose of 40 Kg N:20 Kg P:5 Kg K per hectare was applied at the time of sowing. A standard package of practices was followed to raise the good crop.
Drought imposition
As linseed is rabbi crop, I irrigation was given at the time of sowing and II irrigation was given before the flowering stage for both water stressed and normal condition plot. After flowering no irrigation was given to the stressed condition plot while one extra irrigation was given to the normal condition plot. Stressed condition imposed after 50% flowering.
Methodology
Morphological observations were recorded on five randomly selected plants in each entry from each replication in normal and water stressed conditions for different agronomical traits. Following morphological characters were recorded: Plant height (cm), Number of capsules per plant, Number of seed bearing capsules per plant, Capsule length (cm), Capsule fertility (%), Seed yield per plant (g), 1000 Seed weight (g), Seed length (mm), Seed width (mm), Seed length width ratio, Total root length (cm). Leaf rolling score was recorded for three days continuously under water stress imposed after 50% flowering. The leaf rolling score was calculated using the evaluation system given by (IRRI, 1980). Leaf relative water content was determined by using the procedure given by Merah, 2001 [22] .
Biochemical Characterization
Estimation of important biochemical components viz, chlorophyll, carbohydrate, proline, total protein and protein extraction quantification, and SDS electrophoresis was carried out using various specified methods.
Chlorophyll estimation
The standard method for determination of chlorophyll in the laboratory was utilized and chlorophyll-a, chlorophyll-b, and total chlorophyll were determined. Leaves from irrigated and water stress samples were washed with distilled water, dried with filter paper, and pulverized. The resulting leaf material was homogenized with 80% acetone, and the solutions were transferred to test tubes, adjusting the volume to 10.0 ml with 80% acetone. After centrifugation at 5000 rpm for 10.0 min, the supernatant was collected in separate test tubes, repeating the process until the pellet became clear. Absorbance at 663 and 645 nm was recorded using a UV spectrophotometer for further analysis.
Chlorophyll a, b, and total chlorophyll were calculated by using the following formula:
Carbohydrate estimation
The total carbohydrate content of plant tissue was estimated by the Anthrone method suggested by Jayaraman, 1981 [14] . The Anthrone reagent was prepared as per the procedure given by Trevelyan and Harrison, 1952 [37] . Dry and finely powdered 100 mg seed samples were hydrolyzed for 3hours at 80-85 °C with 5.0 ml of 2.5N HCl. The neutralized supernatant, adjusted to 100 ml with distilled water, was centrifuged at 8,000rpm for 5.0 minutes at 4 °C. A 0.5 ml aliquot was then transferred to a fresh test tube. Additionally, various aliquots from a glucose standard solution, along with sample tubes, were adjusted to a final volume of 1.0ml with double-distilled water, heated, cooled, and assessed for color development at 620nm using a spectrophotometer, with quantification based on a calibration curve. The carbohydrate content in the sample was calculated using the provided formula.
Proline estimation
The protein content was estimated using the procedure given by Bates et al. 1973 [3] using the Acid Ninhydrin method. Fresh leaf samples (0.5 g) from water-stressed and irrigated conditions were crushed with 10 ml of 3% aqueous sulfosalicylic acid, centrifuged at 5000 rpm for 10min, and 2 ml of supernatant treated with glacial acetic acid and acidninhydrin reagent. After a one-hour water bath (100 °C) and cooling in an ice bath, agitation with 4 ml of toluene yielded an upper chromophore layer, exhibiting a pinkish-red hue, isolated for absorbance measurement at 520nm, using toluene as a blank Statistical Analysis: The proline concentration was determined from a standard curve and calculated on a fresh weight basis as follows:
The analysis of variance for individual characters was carried out using the mean values of each plot following the method given by Panse & Sukhamte, 1954 [27] . The data recorded was analyzed statistically using OPSTAT software The standard error of difference was calculated at 5% probability level to compare the mean differences among the treatments. The differences between the means were compared using Duncan's Multiple Range Test (DMRT p<0.05).
Total seed protein extraction and profiling using SDS-PAGE gel electrophoresis
Protein profiling of linseed samples were analysed through SDS-PAGE electrophoresis as per the protocol described by Laemmli, 1970 [20] . Protein extraction and purification was done as per the methods given by Schwenk, 1980; Scheller, 2001 [35,34] . Mature seeds (100 mg) from irrigated and water-stressed conditions were finely powdered and homogenized in 1x phosphate buffer. The homogenized samples were incubated at -20 °C for 1-2 hours, followed by room temperature stabilization for 10 minutes and centrifugation at 10,000 rpm for 10 minutes at 4 °C. The resulting supernatant, collected in fresh tubes, was utilized for subsequent protein profiling through SDS-PAGE Electrophoresis. After that 80μl extracted protein samples were mixed with 20μl of loading buffer in a micro centrifuge tube. The resulting mixture was denatured by boiling at 95-99 °C for 5 minutes, ensuring thorough protein-SDS interaction. Assembling of the SDS-PAGE gel casting apparatus was done as per the procedure given by Simpson, 2006 [33] . Protein profiling was done by using stacking gel (5%) and separating gel (15%). Protein samples, including a marker, were loaded, and the gel was subjected to electrophoresis unit at 30mA for 10 minutes, followed by a reduction to 20 mA for protein separation. The gel was then stained overnight, destained, and banding patterns were analysed using a gel documentation system and a pre-stained protein marker.
Result and Discussion
Analysis of Variance
Analysis of variance showed highly significant differences among the genotypes for all the morphological characters. The differences were observed between irrigated and waterstressed conditions. (*) represents the highly significance value among irrigated condition. Whereas (**) represents the highly significance value among water-stressed condition.
Morphological characterization
The mean performance of 32 linseed germplasm for 13morphological characters was recorded. The tallest plant height of 75 cm (R-2596) and smallest plant height 36 cm (RLC-176) with mean of 57.86 cm was observed under irrigated condition. The tallest plant height of 66 cm (R-2596) and smallest plant height of 30cm (R-3797) with mean of 46.59cm was observed under stressed condition. R-3751 showed low difference in plant height (0.7cm) between irrigated and water stressed condition, indicating high tolerance; R-3953 exhibited high susceptibility to stressed condition by showing high difference for plant height (20 cm) (Fig. 3). The results of the current findings were similar to the study conducted by Kariuki et al., 2016 [16] . The result of the experiment revealed that water stress led to a significant decrease in the height of the different linseed varieties. Several prior investigations focusing on different crops such as rice [7] , maize [28,13] , and safflower [23] have reported a decrease in plant height as an effect of water stress. In irrigated conditions, R-3986 had the highest seed yield per plant (14.54 gm) and R-3396 had the lowest (1.61 gm). Under stress, R-3986 still had the highest yield per plant (7.72 gm) while R-2598 had the lowest (0.94 gm). RLC-177 showed minimal difference (0.16 gm) between stressed and normal conditions. In contrast, R-3986 exhibited a substantial difference (6.82 gm) between stressed and unstressed conditions (Fig 4). Similar results were obtained by Davatgar et al. 2009 [7] reductions in rice yield under water stress. In irrigated conditions, R-176 had the highest 1000 seed weight (9.52 gm) and R-2323 had the lowest (5.20 gm). Under stress, R-3977 had the highest seed weight (9.13 gm) and R-2497 had the lowest (4.25 gm). R-3549 showed minimal reduction in seed weight under stress (Fig 5). Pande et al., 1970 [26] and Kiani et al., 2020 [18] also found a decrease in the weight of 1000 seeds as water availability decreased in different linseed accessions. Germplasms RLC-176, RLC-179, R-3768, RLC-180, RFC-19-1, R-3368, and R-3549 shows no any reduction in seed length under stressed condition (Fig 6). Similar results were found by Kiani et al., 2020 [18] that no significant alterations observed in the length of both seeds and leaves under stressed condition. R-3549 and R-2452 shows high reduction in seed width where some germplasm shows no any reduction in seed width under stressed condition (Fig 7). Under normal condition seed length width ratio varies from 2.3 to 1.6 with a mean of 1.9. The maximum ratio observed in RLC-177, RLC-178, RLC-175. Under stressed condition range of seed length weight ratio varies from 2.5 to 1.7 with average of 2.04. The maximum ratio was observed in R-3838 (2.5), R-2598, R-177 (Fig. 8). Under normal condition the maximum and minimum number of capsules per plant was observed inR-3986(170) andR-3396 ( 22) respectively. Under stressed condition the maximum and minimum number of capsules per plant was observed inR-3986 (114) and R-3396 (19) respectively. The maximum reduction of 70 capsules was observed in R-2596 showing susceptibility of germplasm to stressed condition (Fig 9). Similar results were obtained by Davatgar et al. 2009 [7] in rice (Oryza sativa L.) to different levels of water stress. Under irrigated condition the maximum and minimum number of seed bearing capsules per plant was observed in R-3986 (166) and R-3396 (22) respectively. Under stressed conditions the maximum and minimum number of seed bearing capsules per plant was observed in R-3986 (108) and R-3396 (17) respectively ( Fig 10). Under irrigated condition, 100% capsule fertility was observed in RFC-19-1, R-3396, R-3838, R-3944 and 94.6% capsule fertility observed in RLC-178. Under stressed condition, the maximum and minimum capsule fertility was observed in R-3944 (98.6%) and R-2728 (85%) respectively ( Fig 11).Under normal conditions, maximum and minimum root length was observed in R-3785 (9.1 cm) and R-2596 (2.9 cm). Under stressed conditions, maximum and minimum root length was observed in R-2272 (9.4 cm) and R-2596 (3.2 cm) respectively (Fig. 2 and Fig. 12). Similar results were obtained in various crops, including chickpea [1] , pea [11] , black gram [2] , rice [19] , and maize [25] . Under normal conditions, the maximum and minimum capsule length was observed in R-2272 (9.5 mm) and R-3838 (6 mm) respectively. Under stressed conditions, the maximum and minimum capsule length was observed in R-3396 (9 mm) and R-2281 (5 mm) respectively (Fig 13). Under normal conditions, R-2497, R-4028, and R-3785 showed slight leaf tip drying on Day 3, scored 1. Under stress conditions, R-3785 exhibited 50% full dried leaves on Day 3, scored 5, while R-2497, R-2598, and R-2728 had tip drying extending to ¼ length in 50% leaves with 25% full leaf drying, scored 4.Similar results were obtained by Datta et al., 1988 [8] in rice. Under irrigated conditions, the maximum and minimum leaf relative water content was observed in R-2596 (76.69%) and RLC-176 (56.1%) respectively. Under stressed conditions, the maximum and minimum leaf relative water content was observed inR-3549 (65.55%) and R-3768 (42.30%) respectively (Fig 14).
Biochemical characterization Chlorophyll estimation
Under normal conditions, the highest and lowest chlorophyll content was observed inRLC-177 (14.19 mg/g) and R-2596 (8.51 mg/g) respectively. Under stressed conditions, the highest and lowest chlorophyll content was observed inR-3751 (10.10 mg/g) and R-2598 (0.74 mg/g) respectively. R-2596 (3.89 mg/g) shows a very low amount of decrease in chlorophyll content over normal conditions indicating high tolerance. Whereas high level of decrease in chlorophyll content was observed in R-3953 (12.33 mg/g) showed susceptibility of variety for water stress (Fig. 15).
Carbohydrate Estimation
Under normal conditions, the highest and lowest carbohydrate content was observed in RLC-173 (98 mg/g) and RLC-179 (31 mg/g) respectively. Under stressed conditions, the highest and lowest carbohydrate content was observed in RLC-173 (101 mg/g) and RFC-19-2 (22 mg/g) respectively. From these findings, it was concluded that carbohydrate content in RLC-177 (27 mg/g), R-2452 (26 mg/g), R-2323 (25 mg/g), R-3751 (25 mg/g), R-3549 ( mg/g) increase over the normal condition. While carbohydrate content in RFC-19-2 (25 mg/g), R-2272 (24 mg/g), R-2281 (12 mg/g), R-3785 (12 mg/g), and (R-3977 (11 mg/g) decrease over normal conditions (Fig 16).
Proline Estimation
Under normal condition, the maximum and minimum proline content was observed inR-3793 (9.56 µmole/gm) and RLC-176 (5.12 µmole/gm) respectively. Under stressed condition, the maximum and minimum proline content was observed in RLC-180 (19.52 µmole/gm) and R-3768 (11.25 µmole/gm) respectively. R-2323 (11.89 µmole/gm) shows a high increase in proline content over normal conditions. Conversely, the germplasm R-2598 showed very little increase in proline content (2.04 µmole/gm) over the normal conditions. Guo et al., 2012 [12] found that as PEG concentration increased, chlorophyll content decreased, They also noted that water stress induced by PEG led to increased concentrations of carbohydrates and proline in shoots and roots of linseed seedlings (Fig. 17).
Protein profiling using SDS-PAGE Gel Electrophoresis
The total protein present in linseed was determined by using the protocol described by Laemmli 1970 [20] . On the basis of SDS-PAGE gel electrophoresis, bands were scored for presence (1) or absence (0). Clustering and similarity matrix were carried out by using UPGMA using NTSYSpc-2.02i software. A total eight scorable bands were recorded under the irrigated condition (Fig No . 18) and six scorable bands were obtained under stressed conditions (Fig No. 19). The size (molecular weight) of polypeptide bands produced by SDS-PAGE identified by protein molecular weight marker ranges from 20 to 118 kDa. The size of bands ranges between 1.5 kDa to 118 kDa. Out of a total 8 bands under irrigated conditions, 7 bands were polymorphic and 1 band was monomorphic. Under normal conditions, the highest band size of ~60 kDa was present in R-3549 and R-3751. Lowest band size of 1.5 kDa was observed. The size of bands were different viz. band 3 (~35 kda), band 4 (26~kDa), band 5 (~24 kDa), band 6 (20 kDa), band 7 (~10 kDa), and band 8 (~1.5 kDa). The band 6 (20 kDa) was common in all genotypes. Whereas band 1(~60 kDa) and 2 (~40 kDa) was absent in all genotypes, except R-3549 and R-3751. Out of a total 6 bands under stressed conditions, 5 bands were polymorphic and 1 band was monomorphic. Under stressed conditions, the highest band size of ~35 kDa was present in R-3549 and R-3751. Lowest band size of 1.5 kDa was observed. The results of the study are similar with the findings of Sardar et al., 2012 [32] . They analyzed total seed protein pattern of rice. Out of 16 observed protein bands, 81% were found to be polymorphic, while 19% were monomorphic, exhibiting molecular weights between 100 and 120 kDa. Two universal bands (5 and 6) were identified across all genotypes. The similarity coefficients, ranging Overall, the study suggests a low level of genetic diversity in the total seed protein profiles of the examined linseed samples. Similar results were obtained by Sammour et al., 1999 [31] in linseed. They revealed that the protein electrophoretic profiles, obtained by extracting proteins using water, buffer, urea, and SDS and subjecting them to SDS-PAGE and Poro-SDS-PAGE without reducing agents, revealed six predominant bands with molecular weights of 55kDa, 50kDa, 47kDa, 45kDa, 43kDa, and 41kDa. carbohydrate, and proline content. Under water stress, chlorophyll content varies greatly among germplasms, with R-3751 exhibiting the highest content (10.10 mg/g) and R-2598 the lowest (0.74 mg/g). Notably, R-2596 shows minimal decrease (3.89 mg/g) compared to other germplasms under stress. RLC-177, R-2452, R-2323, R-3751, and R-3549 showed increased carbohydrate content, while RFC-19-2, R-2272, R-2281, R-3785, and R-3977 decreased indicating susceptibility of germplasms under stress seed condition. Germplasms RFC-19-1 (11.68 µmole/gm), RLC-177 (11.09 µmole/gm), R-2281 (11 µmole/gm), and R-3368 (10.5 µmole/gm) showed tolerance to stressed condition by increasing proline content over normal condition. The results from the SDS-PAGE protein profiling revealed the presence of different monomorphic and polymorphic major and minor bands under normal and stressed conditions. Total 8 scorable bands were observed under irrigated condition whereas 6 scorable bands were observed under stressed condition. Under normal conditions, the highest band size of ~60 kDa was present in R-3549 and R-3751. Under stressed conditions, the highest band size of ~35 kDa was present in R-3549 and R-3751. Lowest band size of 1.5 kDa was observed under both condition. Overall, the study suggests a low level of genetic diversity in the total seed protein profiles of the examined in linseed germplasms.
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