Similar and divergent responses to salinity stress of jamun (Syzygium cumini L. Skeels) genotypes

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Plant Biology

Introduction

Salinity stress adversely affects most fruit crops (Denaxa et al., 2022; Niu, Davis & Masabni, 2019) which abruptly begin to decline due to cumulative impacts of osmotic and ion-specific stresses (Meir et al., 2014). While some fruit crops thrive under saline conditions, prolonged exposure to salt stress eventually suppresses their growth and yield (Rohit Katuri, Trifonov & Arye, 2019). Salt-induced lowering of soil water potential initially impairs root’s ability for water uptake, which then decreases the turgor pressure and hinders shoot and root growth (Zhao et al., 2020). Salt-stressed plants accumulate organic and inorganic solutes for osmotic adjustment (Ahmed et al., 2012). Stomatal closure brought on by osmotic stress diminishes the plant’s capacity to assimilate CO2 (Chartzoulakis, 2011). Ionic imbalance, caused by the build-up of Na+ and Cl, disrupts the metabolic processes by interfering with the activities of essential ions such as NO3 and K+ (Zhao et al., 2020). This eventually leads to the destruction of cell membranes, reduced activity of enzymes, decreased levels of chlorophyll pigments, and suppression of photosynthesis (Singh & Sharma, 2018). Reactive oxygen species (ROS) such superoxides and singlet oxygen build-up abnormally under saline conditions, leading to oxidative stress and lipid peroxidation (Singh et al., 2023). Plants activate their antioxidant defense to offset the negative effects of ROS (Moradbeygi et al., 2020).

Although intra-specific variation has greatly aided to the selection of salt-tolerant cultivars, the genetic diversity for salt tolerance within many species still remains underutilized (Ismail & Horie, 2017). Fruit crops exhibit distinct intra-specific variations when exposed to salt (Denaxa et al., 2022; Etehadpour et al., 2020). Identifying such genetic differences may lead to the use of salt-tolerant genotypes as rootstock for salt-affected soils. Comprehending the morpho-physiological mechanisms underlying salinity tolerance is also crucial for the development of appropriate breeding techniques aimed at enhancing salt tolerance (Ismail & Horie, 2017). Salt-induced changes in biomass allocation and ion uptake differ greatly among genotypes, and serve as valuable indicators for selecting the salt-tolerant cultivars (Kchaou et al., 2010). Genetic differences are known for salt-induced declines in biomass (Pandey et al., 2014; Kchaou et al., 2010). While salt stress typically restricts the availability of essential nutrients (e.g., K+ and Ca2+), their levels are little affected in certain genotypes (Mahouachi, 2018; Papadakis et al., 2018), probably because of preferential uptake (Liu et al., 2020).

Jamun (Syzygium cumini Skeels) is widely distributed in many Asian and African countries (Singh et al., 2019; Tewari, Singh & Nainwal, 2017). Various parts of the jamun tree are used as constituents in traditional medicine. Jamun fruit pulp and seed contain a variety of bioactive substances with strong anti-glycaemic, anti-oxidant and chemoprotective properties (Kapoor, Ranote & Sharma, 2015; Shrikanta, Kumar & Govindaswamy, 2015). Genetic variations for salt tolerance in Jamun remain elusive, notwithstanding some anecdotal evidence suggesting that this species flourishes under saline conditions (Sarvade et al., 2016; Tewari, Singh & Nainwal, 2017). This is because the prior salinity experiments in Jamun did not even examine the salt-induced changes in biomass allocation and ion partitioning (Chhabra & Kumar, 2008; Tomar et al., 2003). Jamun exhibits polyembryony, characterized by the emergence of more than one seedling from a single seed (Sivasubramaniam & Selvarani, 2012). Despite the fact that polyembryonic saplings may perform better under salt stress (Nimbolkar et al., 2019), the comparative reactions to salt stress of mono- and poly-embryonic seedlings of jamun are not known.

Considering the previously highlighted gaps in research, this experiment was conducted to assess the effects of incremental rise in salinity on biomass allocation and ion partitioning in 20 monoembryonic and 28 polyembryonic genotypes of jamun with the aim of identifying major traits that underpin salt tolerance. The polyembryonic seedlings were distinguished from the monoembryonic types on the basis growth habit i.e., the presence of multiple seedlings per seed. The shared and contrasting responses to salt of mono- and poly-embryonic seedlings were also examined. Six randomly chosen genotypes were additionally assessed to elucidate salt-induced changes in gas exchange attributes and antioxidant enzymes.

Materials and Methods

Study site and experimental conditions

The experiment was conducted at ICAR-Central Soil Salinity Research Institute, Karnal, India (29°42′31.7″N 76°57′12.7″E) between December 2018 and June 2019. The study area experiences a subtropical climate, with scorching summers, dry winters and total annual rainfall of about 700 mm. Forty-eight (48) genotypes of jamun, comprising both mono- (20) and poly-embryonic (28) types, were examined (Table 1). Approximately six-month-old seedlings were moved to clay pots (upper diameter: 20 cm, basal diameter: 12 cm, height: 18 cm) having 8 kg soil, river sand and farmyard manure (1: 1: 1 v/v) on December 7, 2019. The drainage hole at the bottom of pots was covered with glass wool to prevent the potting soil from leaking out. The experimental plants were kept in a net-house, open on all sides but covered with a polyethylene sheet to prevent the intrusion of rainwater. The experimental pots were reshuffled every 2 weeks to minimize the spatial effects.

Table 1:
Basic details of jamun genotypes used in the study.
S N Geographic region State District Code Type*
1 IP Punjab Fazilka CSJ-1 P
2 IP Punjab Fazilka CSJ-2 M
3 IP Haryana Jind CSJ-3 P
4 IP Haryana Jind CSJ-4 M
5 IP Haryana Jind CSJ-5 M
6 IP Haryana Kaithal CSJ-6 P
7 IP Haryana Kaithal CSJ-7 P
8 IP Haryana Sonipat CSJ-8 P
9 IP Haryana Sonipat CSJ-9 P
10 IP Haryana Sonipat CSJ-10 P
11 IP Haryana Sonipat CSJ-11 P
12 IP Haryana Karnal CSJ-12 M
13 IP Rajasthan Alwar CSJ-13 P
14 IP Rajasthan Ajmer CSJ-14 P
15 IP Rajasthan Ajmer CSJ-15 M
16 IP Rajasthan Ajmer CSJ-16 M
17 IP Rajasthan Pali CSJ-17 P
18 IP Rajasthan Rajsamand CSJ-18 M
19 IP Rajasthan Sirohi CSJ-19 P
20 GP Uttarakhand Dehradun CSJ-20 M
21 GP Uttar Pradesh Shamli CSJ-21 M
22 GP Uttar Pradesh Muzaffarnagar CSJ-22 P
23 GP Uttar Pradesh Aligarh CSJ-23 P
24 GP Uttar Pradesh Fatehpur CSJ-24 P
25 GP Uttar Pradesh Mirzapur CSJ-25 P
26 GP Uttar Pradesh Jaunpur CSJ-26 P
27 GP Uttar Pradesh Jaunpur CSJ-27 P
28 GP Uttar Pradesh Varanasi CSJ-28 M
29 GP Bihar Patna CSJ-29 M
30 GP Bihar Patna CSJ-30 P
31 GP Madhya Pradesh Gwalior CSJ-31 M
32 EPR Jharkhand Gumla CSJ-32 M
33 EPR Jharkhand East Singhbhum CSJ-33 M
34 EPR Chhattisgarh Bilaspur CSJ-34 P
35 EPR Odisha Dhenkanal CSJ-35 M
36 EPR Telangana Hyderabad CSJ-36 P
37 EPR Telangana Medak CSJ-37 P
38 EPR Assam Jorhat CSJ-38 M
39 WPR Gujarat Bharuch CSJ-39 P
40 WPR Gujarat Bharuch CSJ-40 P
41 WPR Gujarat Bhavnagar CSJ-41 P
42 WPR Gujarat Bhavnagar CSJ-42 M
43 WPR Gujarat Bhavnagar CSJ-43 M
44 WPR Gujarat Bhavnagar CSJ-44 P
45 WPR Maharashtra Amravati CSJ-45 M
46 WPR Maharashtra Nandurbar CSJ-46 P
47 WPR Maharashtra Nandurbar CSJ-47 M
48 WPR Karnataka Haveri CSJ-48 P
DOI: 10.7717/peerj.17311/table-1

Note:

IP, Indus plains; GP, Gangetic plains; EP, Eastern peninsular region; WPR, Western peninsular region; *Seedling type: M, monoembryonic; P, polyembryonic.

Salinity treatments

Assuming that an incremental rise in salinity would more closely resemble soil salinity under field conditions, where plants rarely encounter sudden surge in salt stress (Shavrukov, 2013), salinity of irrigation water was gradually raised every week, beginning at 2 dS/m and increasing to 12 dS/m over time. Salt treatments were imposed on December 21, 2018, 2 weeks after planting. Saline groundwater (electrical conductivity ~15.0–16.0 dS/m) was diluted with fresh water to obtain waters of varying electrical conductivities (2, 4, 6, 8, 10 and 12 dS/m). Fresh water (0.70 dS/m) was used to irrigate the control plants. Table S1 shows the compositions of fresh and saline waters. Irrigation water was poured in using a graduated beaker until it evenly reached the bottom of the pots. The plants were watered until May 31 2019, when treatments were stopped with the appearance of leaf injury symptoms in some mono- (CSJ-28, CSJ-31) and poly-embryonic (CSJ-1, CSJ-34) genotypes.

Observations recorded

Leaf, stem and root biomass

The observations were recorded 5 weeks after salinity level of 12.0 dS/m was imposed. The plants were gently uprooted, cleaned on a wire screen, and briefly shade dried. Then, the individual plants were separated into leaves (excluding 4th pair from apex), stems and roots, washed using distilled water, put within envelopes, and oven-dried to a constant weight (NSW, Gurugram, India). Leaf, stem and root dry mass were recorded using an electronic balance. Plant dry mass was determined by adding the mass of each component.

Gas exchange attributes and anti-oxidant enzymes

The mature leaves (4th pair from apex) were tagged for recording the photosynthetic attributes and anti-oxidant enzymes. Six genotypes (CSJ-1, CSJ-13, CSJ-18, CSJ-19, CSJ-28 and CSJ-42) showing noticeably distinct responses to salinity stress were randomly selected to assess the salt-induced changes in gas exchange attributes and anti-oxidant enzymes. Net photosynthesis (Pn), transpiration rate (E) and internal CO2 concentration (Ci) were measured using a portable photosynthesis system (6400 XT; LI-COR, Lincoln, NE, USA) (Singh et al., 2024). The ratio between Pn and E was used to compute the instantaneous water usage efficiency (WUE). Ascorbate peroxidase (APX) and superoxide dismutase (SOD) activities were determined using the procedures described in Nakano & Asada (1981) and Beauchamp & Fridovich (1971), respectively. The methodologies given in Aebi (1984) and Rao et al. (1998) were adopted to measure catalase (CAT) and peroxidase (POX) activities, respectively.

Mineral ions

For ion analyses, finely ground leaf (4th pair from apex), stem and root tissues (50 mg each) were used. A flame photometer (Systronics, Ahmedabad, India) was used to measure Na+ and K+, an ion-selective electrode (Eutech, Singapore) for determining Cl, and an atomic absorption spectrometer (Analytik Jena, Jena, Germany) for measuring Ca2+ and Mg2+ contents.

Statistical analyses

A randomized block design with four replications was used. The independent and interaction effects of salinity (fixed factor) and genotype (random factor) on the variance in different traits were assessed by a two-way analysis of variance (Doncaster & Davey, 2007). The comparative reactions of mono- and poly-embryonic types to fresh and salt water treatments were examined by Welch’s t-test (JASP v. 0.17.3). Welch’s test is considered to be more appropriate when sample sizes are unequal. The strength and directionality of associations between the measured traits were determined by computing the Pearson’s bivariate correlations. Linear discriminant analysis (LDA) was used for discerning the shared and contrasting responses to salinity stress. A confusion matrix was generated to predict the group membership from LDA (PAST v. 4.10).

Results

Biomass allocation

Salinity stress reduced leaf (LDM), stem (SDM), root (RDM) and plant (PDM) dry mass by 24.76, 33.16, 25.16 and 26.55%, respectively, in monoembryonic types, and by 21.92, 30.73, 18.46 and 22.61%, respectively, in polyembryonic types (p < 0.001) (Table 2). While CSJ-28 showed the greatest decreases in LDM (41.77%), SDM (58.42%) and RDM (48.61%), CSJ-29 and CSJ-31 (LDM), CSJ-2, CSJ-15, CSJ-31 and CSJ-47 (SDM), and CSJ-12, CSJ-33, CSJ-43 and CSJ-47 (RDM) were other monoembryonic genotypes that showed noticeable declines (>35.0%) in biomass attributes when treated with salt. Comparably, only minor reductions (<15%) in LDM (CSJ-5, CSJ-18, CSJ-45), SDM (CSJ-5, CSJ-18, CSJ-35), and RDM (CSJ-16, CSJ-18, CSJ-21) were seen in some genotypes. Within polyembryonic types, salt-induced reductions in LDM were notable (>30.0%) in CSJ-22, CSJ-34, CSJ-44 and CSJ-46; and the least in CSJ-19 (8.46%) and CSJ-40 (2.47%). The decreases in SDM ranged between 2.40% (CSJ-17) and 58.48% (CSJ-1), and in RDM from 1.95% (CSJ-44) to 36.76% (CSJ-26). The highest (36.28%) and the lowest (11.02%) decreases in PDM under salinity stress were seen in CSJ-27 and CSJ-19, respectively (Table S2). Shoot: root ratio (SRR) declined by 4.30 and 7.72% in mono- and poly-embryonic types, respectively, under salt treatment. However, the decrease was significant (p = 0.005) only in the latter (Table 2). Only a few genotypes (mono: CSJ-16, CSJ-31; poly: CSJ-23, CSJ-44, CSJ-46) showed modest decreases (>25.0%) in SRR when treated with salt. Interestingly, SSR also appreciably increased in some genotypes including CSJ-12 and CSJ-43 (mono) and CSJ-40 (poly) (Table S2).

Table 2:
Effects of salinity, genotype and their interaction on biomass traits in monoembryonic and polyembryonic types.
Trait C S Change (%) Source p C S Change (%) Source p
Monoembryonic Polyembryonic
LDM 19.06 14.34 −24.76 S <0.001 21.17 16.53 −21.92 S <0.001
G 0.008 G <0.001
S × G <0.001 S × G <0.001
SDM 7.48 5 −33.16 S <0.001 7.68 5.32 −30.73 S <0.001
G <0.001 G <0.001
S × G <0.001 S × G <0.001
RDM 10.65 7.97 −25.16 S <0.001 11.54 9.41 −18.46 S <0.001
G <0.001 G <0.001
S × G <0.001 S × G <0.001
PDM 37.18 27.31 −26.55 S <0.001 40.39 31.26 −22.61 S <0.001
G <0.001 G <0.001
S × G <0.001 S × G <0.001
SRR 2.79 2.67 −4.30 S 0.235ns 2.59 2.39 −7.72 S 0.005
G <0.001 G <0.001
S × G <0.001 S × G <0.001
DOI: 10.7717/peerj.17311/table-2

Note:

LDM, leaf dry mass (g/plant); SDM, stem dry mass (g/plant); RDM, root dry mass (g/plant); PDM, plant dry mass (g/plant); SRR, shoot to root ratio. C and S denote control (0.70 dS/m) and salt treatments (12.0 dS/m). S, salinity, G, genotype. ns, non-significant (p > 0.05).

Leaf ions

Under salt treatment, leaf Na+ and Cl were approximately 150.0 and 44.0% higher in monoembryonic types, and 184.0 and 53.0% higher in polyembryonic types, respectively. While leaf K+ appreciably decreased (~20.0–22.0%) and leaf Mg2+ slightly increased in salt-stressed plants (6.0–7.0%), leaf Ca2+ did not vary significantly between control and salt treatments, regardless of the seedling type (Table 3). Monoembryonic genotypes CSJ-45 (411.70%) and CSJ-43 (53.26%) showed the highest and lowest increases in leaf Na+ than respective controls. Genotypes CSJ-21, CSJ-32, CSJ-33, CSJ-38 and CSJ-47 had over threefold higher leaf Na+ under saline conditions. Despite overall significant reductions, only CSJ-2, CSJ-21, CSJ-29 and CSJ-38 experienced appreciable declines (>30.0%) in leaf K+ when treated with salt. Salt-induced increases in leaf Cl- ranged between 1.98% (CSJ-45) and 134.25% (CSJ-20). Apart from CSJ-45, in which leaf Ca2+ declined appreciably (58.0%), salt-triggered declines or increases in leaf Ca2+ were rather small (~15.0%) in other genotypes. Likewise, only CSJ-21 (33.12%) and CSJ-43 (36.93%) showed appreciable increases in leaf Mg2+ under the salt treatment (Table S3). In polyembryonic types, salt-induced upticks in leaf Na+ ranged between 18.83% (CSJ-3) and 518.97% (CSJ-41). Genotypes CSJ-22 (437.50%), CSJ-23 (506.25%), CSJ-24 (341.38%) and CSJ-48 (354.0%) also showed substantial increases in leaf Na+ under saline conditions. Increases in leaf Cl ranged from 4.03% (CSJ-6) to 233.93% (CSJ-26). With notable exceptions of CSJ-8 (96.58%), CSJ-10 (203.28%), CSJ-36 (111.54%) and CSJ-48 (98.08%), salt-triggered increases in leaf Cl in most other genotypes were <50.0% compared to controls (Table S3). Of polyembryonic genotypes, only CSJ-34 (44.23%), CSJ-41 (58.51%) and CSJ-44 (57.53%) showed appreciable declines in leaf K+ following salt treatment. In response to salt, leaf Ca2+ and Mg2+ either rose, decreased, or remained identical. For instance, leaf Ca2+ modestly decreased (>20.0%) in CSJ-3, CSJ-8 and CSJ-48, slightly increased (>20.0%) in CSJ-23, CSJ-24, CSJ-40 and CSJ-44, and essentially remained unchanged in CSJ-1, CSJ-7, CSJ-14, CSJ-25, CSJ-37 and CSJ-39. Similarly, with the exceptions of CSJ-3 (18.05%), CSJ-8 (10.78%), CSJ-9 (5.82%), CSJ-27 (6.54%) and CSJ-48 (5.35) in which leaf Mg2+ slightly dropped, and of CSJ-7, CSJ-11, CSJ-19 and CSJ-36 in which it did not change, leaf Mg2+ increased in other genotypes under the salt treatment (Table S3).

Table 3:
Effects of salinity, genotype and their interaction on leaf mineral ions in monoembryonic and polyembryonic types.
Trait C S Change (%) Source p C S Change (%) Source p
Monoembryonic Polyembryonic
Na+ 1.40 3.52 +151.43 S <0.001 1.21 3.43 +183.47 S <0.001
G <0.001 G 0.020
S × G <0.001 S × G <0.001
K+ 4.04 3.21 −20.55 S <0.001 4.64 3.61 22.19 S <0.001
G 0.014 G <0.001
S × G <0.001 S × G <0.001
Cl 0.82 1.18 +43.90 S <0.001 0.93 1.42 +52.69 S <0.001
G <0.001 G <0.001
S × G <0.001 S × G <0.001
Ca2+ 17.01 15.48 −8.99 S 0.079ns 19.44 19.23 −1.08 S 0.862ns
G <0.001 G <0.001
S × G <0.001 S × G <0.001
Mg2+ 7.67 8.16 +6.39 S 0.020 7.45 7.96 +6.85 S 0.002
G <0.001 G <0.001
S × G <0.001 S × G <0.001
DOI: 10.7717/peerj.17311/table-3

Note:

C and S denote control (0.70 dS/m) and salt treatments (12.0 dS/m). All ion contents are in mg/g DW, S- salinity, G- genotype. ns- non-significant (p > 0.05).

Stem ions

While stem Na+ and Cl significantly increased (>50.0%), stem K+ significantly decreased (≥20.0%), regardless of seedling type, in response to salt. Although stem Mg2+ was not significantly different between control and salt treatments, stem Ca2+ significantly increased only in polyembryonic types (Table 4). In monoembryonic types, salt-triggered increases in stem Na+ were either marked (282.0% in CSJ-32), modest (~100.0% in CSJ-2, CSJ-5 and CSJ-45) or hardly different from controls (CSJ-12 and CSJ-31). Apart from CSJ-12 and CSJ-15, stem K+ declined in other genotypes under saline conditions. Nonetheless, declines in stem K+ were noticeable (>50.0%) only in CSJ-42 and CSJ-43. The highest (202.23%) and lowest (1.43%) increases in stem Cl than control were seen in CSJ-35 and CSJ-16, respectively (Table S3). Stem Ca2+ and Mg2+ increased or decreased in salt-stressed plants. Only two genotypes (CSJ-28 and CSJ-31) exhibited appreciable (>50.0%) decreases in stem Ca2+ under salt stress. In response to salt, stem Mg2+ appreciably rose (>40.0%; CSJ-15, CSJ-16 and CSJ-33) or dropped (40.0–60.0%; CSJ-31 and CSJ-43) in some genotypes, but was little affected in others (Table S3). Of the polyembryonic genotypes, CSJ-1 and CSJ-7 displayed the greatest (159.21%) and the smallest (1.11%) increases in stem Na+ when exposed to salt. Salt-triggered increases in stem Cl- varied from 1.52% in CSJ-19 to 249.15% in CSJ-27. Salinity stress caused noticeable upticks in stem Cl (≥150.0%) only in genotypes CSJ-6, CSJ-37 and CSJ-40 (Table S3). Except for a few genotypes (CSJ-3, CSJ-10, CSJ-27 and CSJ-40), where it rose over control, stem K+ dropped under salinity stress in other genotypes. Depending on genotype, stem Ca2+ either increased [1.91% (CSJ-1) to 274.32% (CSJ-40)] or decreased [5.05% (CSJ-48) to 43.96% (CSJ-11)] under the salt treatment. The response of stem Mg2+ to salt was also genotype-specific, increasing [1.75% (CSJ-24) to 81.03% (CSJ-40)], decreasing [0.71% (CSJ-9) to 52.01% (CSJ-11)], or remaining unchanged (CSJ-1) (Table S3).

Table 4:
Effects of salinity, genotype and their interaction on stem ion contents in monoembryonic and polyembryonic types.
Trait C S Change (%) Source p C S Change (%) Source p
Monoembryonic Polyembryonic
Na+ 1.69 2.66 +57.39 S <0.001 1.83 2.76 +50.82 S <0.001
G 0.700 ns G 0.003
S × G <0.001 S × G <0.001
K+ 8.95 6.50 −27.37 S <0.001 8.78 7.08 −19.36 S <0.001
G 0.049 G 0.014
S × G <0.001 S × G <0.001
Cl 0.48 0.73 +52.08 S <0.001 0.50 0.76 +52.0 S <0.001
G <0.001 G <0.001
S × G <0.001 S × G <0.001
Ca2+ 11.28 12.22 +8.33 S 0.323 ns 11.05 13.88 +25.61 S 0.039
G 0.129 ns G 0.044
S × G <0.001 S × G <0.001
Mg2+ 5.42 5.65 +4.24 S 0.952 ns 5.50 5.83 +6.0 S 0.275 ns
G <0.001 G 0.001
S × G <0.001 S × G <0.001
DOI: 10.7717/peerj.17311/table-4

Note:

C and S denote control (0.70 dS/m) and salt treatments (12.0 dS/m). All ion contents are in mg/g DW, S- salinity, G- genotype. ns- non-significant (p > 0.05).

Root ions

In monoembryonic types, salt-induced increases in root Na+ and Cl were quite similar (~39.0%); however, K+, Ca2+ and Mg2+ contents were not significantly affected. In polyembryonic types, root Na+, Cl and Ca2+ increased by 51.52, 30.77 and 17.79%, respectively; however, there was no discernible difference between control and salt treatments for root K+ and Mg2+ (Table 5). Monoembryonic genotypes CSJ-21 and CSJ-32 exhibited the greatest (115.13%) and the smallest (1.05%) increases, respectively, in root Na+ relative to controls. Genotypes CSJ-2, CSJ-28, CSJ-33 and CSJ-42 showed only negligible increases (<15.0%) in root Na+ under salt stress. Salt-induced increases in root Cl- ranged between 1.27% (CSJ-32) and 369.23% (CSJ-31); CSJ-5, CSJ-15, CSJ-21, CSJ-3, CSJ-35 and CSJ-47 showed only slight increases (≤15.0%) in root Cl. Salt stress did not significantly alter root K+, Ca2+ and Mg2+ levels (Table S3). In polyembryonic types, while root Na+ remained virtually unchanged in some genotypes (CSJ-44, CSJ-48), certain genotypes (CSJ-44, CSJ-48) exhibited only a modest increase (<20.0%), whereas others (CSJ-1, CSJ-39) displayed appreciable upticks (>100.0%) in root Na+. With a few exceptions, increases in root Cl induced by salt were less than increases in root Na+; genotypes CSJ-40 and CSJ-34 exhibited the lowest (2.63%) and the highest (146.34%) upticks in root Cl in comparison to controls. Root K+ either increased or decreased in response to salinity; however, only a few genotypes demonstrated appreciable (15.0–20.0%) decreases (CSJ-17, CSJ-23, CSJ-24 and CSJ-41) or increases (CSJ-13, CSJ-37 and CSJ-46) in root K+. Despite either an increase or decrease in root Ca2+ under salt treatment, the genotypic differences were not significant. A more or less comparable pattern was also seen for root Mg2+ (Table S3).

Table 5:
Effects of salinity, genotype and their interaction on root ion contents in monoembryonic and polyembryonic types.
Trait C S Change (%) Source p C S Change (%) Source p
Monoembryonic Polyembryonic
Na+ 1.63 2.25 +38.04 S <0.001 1.65 2.50 +51.52 S <0.001
G 0.412ns G 0.126ns
S × G <0.001 S × G <0.001
K+ 3.62 3.58 −1.11 S 0.742ns 3.70 3.59 −2.97 S 0.299ns
G 0.161ns G 0.002
S × G <0.001 S × G <0.001
Cl 0.51 0.71 +39.22 S <0.001 0.52 0.68 +30.77 S <0.001
G 0.021 G <0.001
S × G <0.001 S × G <0.001
Ca2+ 14.10 11.59 −17.80 S 0.162ns 13.04 15.36 +17.79 S 0.020
G 0.260ns G 0.077ns
S × G <0.001 S × G <0.001
Mg2+ 3.87 3.84 −0.78 S 0.836ns 3.60 3.84 +6.67 S 0.302ns
G 0.219ns G 0.038
S × G <0.001 S × G <0.001
DOI: 10.7717/peerj.17311/table-5

Note:

C and S denote control (0.70 dS/m) and salt treatments (12.0 dS/m). All ion contents are in mg/g DW, S- salinity, G- genotype. ns- non-significant (p > 0.05).

Comparative responses under control and saline conditions

The polyembryonic types showed significantly higher LDM (t = 5.77, p = < 0.001) and PDM (t = 3.30, p = 0.001) than monoembryonic types under control treatment. Similarly, they also exhibited significantly higher (p < 0.001) LDM, RDM and PDM (16.53, 9.41 and 31.26 g/plant, respectively) than monoembryonic types (14.35, 7.97 and 27.31 g/plant, respectively) when treated with salt. Shoot: root ratio was significantly higher (p = 0.009) in monoembryonic types under salt treatment (Table S4; Fig. 1). Of the leaf ions, the two groups differed in Na+ only in control and in Cl only in salt treatment. Comparably, K+ and Ca2+ were different under both fresh and salt treatments. Leaf Mg+ did not differ significantly under both the conditions (Fig. 2A). Of the stem ions, differences between mono- and poly-embryonic types for Na+ were significant only in control and for K+ and Ca2+ in salt treatment (Fig. 2B). In roots, only Na+ (10.57%) and Ca2+ (32.50%) were significantly higher in polyembryonic types under salt treatment; the differences were non-significant for other ions under both control and salt treatments (Table S4; Fig. 2C).

Raincloud plots showing the differences between monoembryonic and polyembryonic types in biomass traits under control (0.70 dS/m) and salinity (12.0 dS/m) treatments.

Figure 1: Raincloud plots showing the differences between monoembryonic and polyembryonic types in biomass traits under control (0.70 dS/m) and salinity (12.0 dS/m) treatments.

LDM, leaf dry mass (g/plant); SDM, stem dry mass (g/plant); RDM, root dry mass (g/plant); PDM, plant dry mass (g/plant); SRR, shoot: root ratio. M and P indicate monoembryonic and polyembryonic types, respectively.
Raincloud plots showing the differences between monoembryonic and polyembryonic types in leaf (A), stem (B) and root (C) ion concentrations under control (0.70 dS/m) and salinity (12.0 dS/m) treatments.

Figure 2: Raincloud plots showing the differences between monoembryonic and polyembryonic types in leaf (A), stem (B) and root (C) ion concentrations under control (0.70 dS/m) and salinity (12.0 dS/m) treatments.

LNa: leaf Na+, LK–leaf K+, LCl–leaf Cl, LCa–leaf Ca2+, LMg–leaf Mg2+, SNa: stem Na+, SK–stem K+, SCl–stem Cl, SCa–stem Ca2+, SMg–stem Mg2+, RNa: root Na+, RK–root K+, RCl–root Cl, RCa–root Ca2+, RMg–root Mg2+. All ion concentrations are in mg/g DW. M and P indicate monoembryonic and polyembryonic types, respectively.

Correlation analysis

Table S5 shows the Pearson’s correlations between the measured traits. LDM, SDM, RDM and PDM were all significantly positively correlated with each other, irrespective of seedling type. Leaf Na+ had highly significant negative correlations with LDM, SDM, RDM and PDM. Although all biomass attributes exhibited significant negative correlations with leaf Cl, the degree of association was invariably lower than that between biomass traits and leaf Na+. While relationships of leaf K+ and stem Na+ with biomass attributes were respectively significantly positive and significantly negative. Stem Cl- had significant negative relationships with LDM and PDM in both mono- and poly-embryonic types, and with SDM only in polyembryonic types. Stem K+ had significant positive correlations with all the biomass traits in monoembryonic types, but only with LDM and PDM in the polyembryonic types. The negative correlations between root Na+ and biomass traits were greater in poly- than in mono-embryonic types.

Linear discriminant analysis

Table S6 and Fig. 3 display the results of LDA. The first two discriminant functions alone explained approximately 98.0% of the cumulative variance in the data, indicating that LDA efficiently reduced the dimensionality. We found that while LD-1 was mainly a construct of stem Cl and root Cl, LD-2 had root Na+, leaf K+ and leaf Cl as the highly weighted variables. The differences between mono- and poly-embryonic types for stem and root Cl contents were non-significant under both control and salinity treatments. Conversely, the differences between two groups were significant for root Na+, leaf K+, and leaf Cl under salt treatment (Table S6). Therefore, we infer that while stem and root Cl- contents accounted for shared responses, root Na+, leaf K+ and leaf Cl explained the divergent responses to salinity stress. A perusal of the LDA biplot showed that while LD1 effectively discriminated the control and salinity treatments, LD2 could fairly reasonably distinguish monoembryonic and polyembryonic types from each other (Fig. 3). The confusion matrix estimates for predicted group membership from LDA are presented in Table S7. The overall classification accuracy (jacknifed) of LDA was 80.21%. In the case of monoembryonic types, 25.0% and 18.75% of the instances were mislabelled as polyembryonic in the control and salt treatments, respectively. Similarly, 19.64% and 13.39% of the polyembryonic instances were incorrectly classified as monoembryonic under control and salinity treatments, respectively. Interestingly, a small proportion of the polyembryonic instances (3.57%) were also incorrectly labelled as monoembryonic in the salt treatment.

Linear discriminant analysis biplot showing the grouping of different type-treatment combinations on first two linear disciminant functions.

Figure 3: Linear discriminant analysis biplot showing the grouping of different type-treatment combinations on first two linear disciminant functions.

M_C, monoembryonic control; M_S, monoembryonic saline; P_C, polyembryonic control; P_S, polyembryonic saline.

Gas exchange parameters and anti-oxidant enzymes

Six genotypes, comprising both monoembryonic (CSJ-18, CSJ-28 and CSJ-42) and polyembryonic (CSJ-1, CSJ-13 and CSJ-19) types, that exhibited noticeably distinct responses under saline conditions were further examined to assess the effects of salinity stress on photosynthetic attributes and antioxidant enzymes (Table 6). Salt-induced reductions in net photosynthesis (Pn) ranged between 20.47% (CSJ-18) and 83.37% (CSJ-1). The highest (36.25%) and the lowest (16.90%) declines in transpiration rate (E) were recorded in genotypes CSJ-42 and CSJ-19, respectively. With the exception of CSJ-19 (17.85%), salinity-triggered decreases in internal CO2 concentration (Ci) were not much different (36.66–45.26%) in other genotypes. Salt stress suppressed the WUE to varying extents; reductions ranged between 1.89% (CSJ-18) and 76.46% (CSJ-1) (Table 6). The tested genotypes demonstrated substantial differences in the levels of antioxidant enzymes under both control and salinity treatments. Genotypes CSJ-18 (77.81%) and CSJ-19 (73.50%) demonstrated remarkable increases in APX activity when treated with salt; by comparison, APX activity was only about 28.0% higher in salt-stressed CSJ-1 plants. Salt-induced increases in CAT activity ranged between 8.19% (CSJ-1) and 63.48% (CSJ-18) (Table 6). Remarkable genotypic differences were also evident for POX activity; it increased by 12.76, 31.83, 46.67, 45.82, 24.29 and 25.38% in genotypes CSJ-1, CSJ-13, CSJ-18, CSJ-19, CSJ-28 and CSJ-42. Under saline conditions, SOD activity varied remarkably among the genotypes; it was the lowest (26.96%) in CSJ-1 and the highest (70.87%) in CSJ-19 in comparison to salt-free plants (Table 6).

Table 6:
Analysis of variance and mean comparisons for testing the effects of salinity (S), genotype (G) and their interaction (S × G) on variance in gas exchange attributes and anti-oxidant enzymes.
Genotype Treatment Pn E Ci WUE
CSJ-1 C 4.21 ± 0.16a 0.51 ± 0.03e 272.58 ± 7.68c 8.37 ± 0.72a
S 0.70 ± 0.04i 0.35 ± 0.02f 155.64 ± 2.74i 1.98 ± 0.18fg
CSJ-13 C 4.43 ± 0.16a 0.52 ± 0.02de 366.35 ± 2.82a 8.63 ± 0.61a
S 1.26 ± 0.08h 0.38 ± 0.02f 209.20 ± 7.03f 3.34 ± 0.40de
CSJ-18 C 2.98 ± 0.12c 0.71 ± 0.03b 358.35 ± 5.26a 4.23 ± 0.31c
S 2.37 ± 0.05e 0.57 ± 0.03cd 196.17 ± 2.08g 4.15 ± 0.27cd
CSJ-19 C 3.66 ± 0.10b 0.71 ± 0.03b 301.72 ± 2.65b 5.14 ± 0.27b
S 2.65 ± 0.08d 0.59 ± 0.02c 247.87 ± 2.76e 4.51 ± 0.20bc
CSJ-28 C 3.12 ± 0.13c 0.82 ± 0.03a 258.89 ± 2.48d 3.81 ± 0.09cd
S 1.58 ± 0.07g 0.59 ± 0.04c 160.11 ± 2.15hi 2.68 ± 0.26ef
CSJ-42 C 2.09 ± 0.10f 0.80 ± 0.03a 261.91 ± 2.42d 2.61 ± 0.09ef
S 0.87 ± 0.04i 0.51 ± 0.03e 165.90 ± 2.94h 1.72 ± 0.14g
S * ** ** ns
G ns ** ns ns
S × G *** *** *** ***
Genotype Treatment APX CAT POX SOD
CSJ-1 C 9.89 ± 0.39c 2.32 ± 0.08de 21.0 ± 0.63e 12.87 ± 0.41e
S 12.64 ± 0.40b 2.51 ± 0.07d 23.68 ± 0.57d 16.34 ± 0.55c
CSJ-13 C 12.52 ± 0.50b 2.02 ± 0.07f 26.96 ± 0.89c 16.65 ± 0.90c
S 20.01 ± 0.93a 2.84 ± 0.06c 35.54 ± 0.91b 24.20 ± 0.66b
CSJ-18 C 7.03 ± 0.20d 2.30 ± 0.10d-f 26.74 ± 1.44c 10.09 ± 0.50f
S 12.50 ± 0.57b 3.76 ± 0.20a 39.22 ± 0.87a 15.83 ± 0.64cd
CSJ-19 C 6.0 ± 0.13d 2.20 ± 0.14ef 7.90 ± 0.33g 16.24 ± 0.69c
S 10.41 ± 0.56c 3.32 ± 0.08b 11.52 ± 0.52f 27.75 ± 1.12a
CSJ-28 C 6.41 ± 0.38d 2.27 ± 0.08d-f 21.12 ± 1.29e 9.88 ± 0.38f
S 9.20 ± 0.50c 2.89 ± 0.11c 26.25 ± 0.59c 13.28 ± 0.80e
CSJ-42 C 12.78 ± 0.43b 2.95 ± 0.18c 22.38 ± 1.33de 10.07 ± 0.96f
S 21.21 ± 1.14a 3.99 ± 0.16a 28.06 ± 0.71c 14.20 ± 0.48de
S ** ** ** **
G ** ns ** *
S × G *** *** *** ***
DOI: 10.7717/peerj.17311/table-6

Note:

Pn, net photosynthesis (µmol CO2/m2/s); E, transpiration rate (mmol H2O/m2/s); Ci, internal CO2 concentration (µmol/mol); WUE, water use efficiency (µmol/mmol); APX, ascrobate peroxidise; CAT, catalase; POX, peroxidise; SOD, superoxide dismutase (all anti-oxidants are in units/g FW). S, salinity; G, genotype; * significant at p < 0.05; ** significant at p < 0.01; *** significant at p < 0.001; ns, non-significant. C and S denote control (0.70 dS/m) and salinity (12.0 dS/m) treatments, respectively. Each value represents mean ± SD. Differences between means that share a letter within each column are not statistically significant (p 0.05).

Discussion

Little is known about traits underlying salinity tolerance, as well as genetic variations for salt tolerance, in Jamun. In this backdrop, our study aimed to elucidate the effects of salinity stress on biomass allocation and ion uptake in 48 diverse genotypes of jamun. Similar and contrasting responses to salt stress of mono- and poly-embryonic seedlings were also analyzed to identify the mechanisms underlying salinity tolerance. In order to avoid salt shock, irrigation water salinity was increased gradually (Singh et al., 2024). Since ‘osmotic’ rather than ‘salinity’ stress usually triggers early reactions under saline conditions, long-term studies are probably more dependable for analyzing salt tolerance (Zhu et al., 2016). By using this method, we were also able in better mimicking the field conditions where salinity typically peaks in the summer (Sadder et al., 2021).The genetic variability for salt tolerance remains elusive in Jamun because prior studies had examined the effects of salt stress only on one genotype (Chhabra & Kumar, 2008; Patil & Patil, 1983; Tomar et al., 2003). Crop genotypes differ markedly in salt tolerance (Liu et al., 2020; Mousavi et al., 2019), suggesting that a sizeable number of genotypes must be evaluated to reasonably assess the variability for salt tolerance. We noticed substantial genotypic differences (p < 0.001) for salt-induced declines in the dry mass of different plant parts. In monoembryonic types, while CSJ-28 was most adversely affected, genotypes CSJ-5, CSJ-18 and CSJ-38 exhibited the lowest drops in leaf, stem and root biomass. Contrasting genetic variation was also observed within polyembryonic types for the reductions caused by salt in LDM, SDM and RDM. Salt stress suppresses the leaf area, damages the cell membranes, impairs the water relations, causes oxidative stress and hampers the photosynthetic assimilation, which then adversely impact plant growth (Gholami et al., 2023; Moula et al., 2020). The repressive effects of salinity on shoot and root growth vary with genotype in a particular fruit crop (Liu et al., 2020; Moula et al., 2020). We found that while several monoembryonic genotypes (e.g., CSJ-2, CSJ-18 and CSJ-28) showed comparable reductions, a few (e.g., CSJ-5, CSJ-12 and CSJ-45) showed higher decreases in root mass, and the remaining showed greater declines in shoot mass. Likewise, salt-induced reductions in root mass were either lower or substantially lower than decreases in shoot mass in most polyembryonic genotypes. Preferential allocation of biomass to shoots or roots may imply genotype-specific adaptations to overcome excessive salt accumulations. Maintenance of root biomass may also improve water and nutrient uptake in saline soils (Perica, Goreta & Selak, 2008; Rasheed, Bakhsh & Qadir, 2020).

Salinity (10.0–12.0 dS/m) had little effects on Na+, K+, Ca2+ and Mg2+ contents in jamun plants (Patil & Patil, 1983; Yousaf et al., 2020). In our study, leaf, stem and root Na+ increased to varying degrees, irrespective of the seedling type, following salt treatment. Salt-induced upticks in leaf Na+ (<100.0%) suggested comparatively efficient Na+ exclusion in some genotypes (mono: CSJ-2, CSJ-5, CSJ-29, CSJ-42, and CSJ-43; poly: CSJ-3, CSJ-6, CSJ-10, CSJ-13 and CSJ-26) (Brumos et al., 2010; Etehadpour et al., 2020; Mahouachi, 2018). Both mono- (20.55 and 27.37%, respectively) and poly-embryonic (22.19 and 19.36%, respectively) types showed relatively minor decreases in leaf, stem and root K+ under salt stress. Leaf K+ was hardly different between control and salinity treatments in some genotypes (mono: CSJ-4, CSJ-5, CSJ-28 and CSJ-32, poly: CSJ-13, CSJ-14, CSJ-22 and CSJ-23). Some mono- (CSJ-16, CSJ-28, CSJ-31, CSJ-35, CSJ-38 and CSJ-45), and poly-embryonic (CSJ-6, CSJ-11, CSJ-14, CSJ-25, CSJ-27 and CSJ-40) genotypes also exhibited strong capacities for Cl- exclusion from leaves. Such variations in Na+, K+ and Cl levels in various plant parts were likely because of distinct ion uptake and partitioning mechanisms (Gengmao et al., 2015; Lovelli et al., 2012), and implied genotypic differences for ion retention in roots (Zarei et al., 2016). Despite significant increases in Na+ and Cl, lack of salt-specific injuries in most genotypes suggested tissue tolerance to the excess Na+ and Cl (Munns et al., 2016). Salinity up to 12.0 dS/m did not cause leaf scorch and stem dieback in jamun plants (Patil & Patil, 1983). Pomegranate (Sun et al., 2018) and sapota (Kumar et al., 2023) plants did not exhibit leaf tip burn and marginal scorch even after extended exposure to salinity.

Ion translocation from roots to shoots may also account for genetic differences in salt tolerance (Khoshbakht, Ramin & Baninasab, 2015; Calzone et al., 2020). Under salinity stress, leaf Na+ was lower than root Na+ in certain genotypes (mono: CSJ-16, CSJ-21, CSJ-42 and CSJ-43; poly: CSJ-3, CSJ-8, CSJ-13, CSJ-14, CSJ-39 and CSJ-40). Similarly, leaf and root Na+ contents were fairly similar in some genotypes (CSJ-1, CSJ-11, CSJ-21, CSJ-22, CSJ-30 and CSJ-39) with relatively higher Na+ (>3.0 mg/g DW) in roots. Leaf Cl was also lower than root Cl in many genotypes (mono: CSJ-21, CSJ-28, CSJ-32 and CSJ-42; poly: CSJ-22, CSJ-23, CSJ-24, CSJ-25, CSJ-27, CSJ-39 and CSJ-40). Such genotypes seemed to limit Na+ and Cl translocation from roots to shoots (Musacchi, Quartieri & Tagliavini, 2006). Interestingly, leaf, stem and root Cl levels, regardless of the seedling type, were consistently lower than those of Na+ under salt treatment, implying a better efficiency for Cl exclusion (Mehdi-Tounsi et al., 2017). This may also enhance tolerance to salt since excessive Cl commonly causes leaf chlorosis and plant mortality, even when Na+ levels are low (Liu et al., 2018). Only a few genotypes displayed noticeable declines in leaf (mono: CSJ-2, CSJ-21, CSJ-29, CSJ-38; poly: CSJ-34, CSJ-41, CSJ-44) and stem (mono: CSJ-42, CSJ-43; poly: CSJ-10, CSJ-11, CSJ-17, CSJ-36, CSJ-37) K+ when treated with salt. Leaf K+ levels under the salt treatment were particularly little affected in genotypes with very high leaf Na+ (i.e., > 4.0 mg/g DW). Sufficient K+ levels could have enabled these genotypes in sequestering excess Na+ in vacuoles (Zarei et al., 2016). It also implied a strong selectivity for K+ uptake over Na+ (Musacchi, Quartieri & Tagliavini, 2006; Teixeira & Carvalho, 2009). Salt stress did not significantly alter leaf, stem and root Ca2+ in the monoembryonic types. Salt-triggered decreases in leaf Ca2+ were modest (~15.0%) in most genotypes. Similarly, while leaf Mg2+ slightly increased, the differences in stem and root Mg2+ were hardly discernible between salt-free and salt-stressed plants. In polyembryonic types, salt stress caused significant upticks only in stem and root Ca2+. Numerous crops preferentially accumulate Ca2+ and Mg2+, or at the very least, maintain their levels when exposed to salt (Liu et al., 2020; Mahouachi, 2018; Teixeira & Carvalho, 2009). Sufficient Ca2+ and Mg2+ levels improve the osmotic adjustment (Mahouachi, 2018). Adequate Ca2+ probably also enhances selective uptake of K+ over Na+ (Gengmao et al., 2015), and improves cell membrane integrity (Cimato et al., 2010). Interestingly, leaf, stem and root Ca2+ and Mg2+ were substantially greater than Na+ and Cl contents, irrespective of treatment and genotype, indicating that jamun plants can overcome nutritional constraints imposed by salt (Cuiyu et al., 2020; Liu et al., 2020).

When treated with salt, the polyembryonic types had significantly higher LDM, RDM and PDM than monoembryonic types. While the differences in leaf and stem Na+ were not statistically significant, polyembryonic types retained significantly more Na+ in their roots under salinity stress. Comparably, leaf Cl was noticeably lower in salt-stressed monoembryonic types. This suggested comparatively greater capacity for Cl exclusion in monoembryonic seedlings, and for Na+ exclusion in polyembryonic types (Dayal et al., 2014; Hussain et al., 2012). This is probably because different mechanisms regulate the absorption and partitioning of Na+ and Cl in salt-stressed plants (Saleh et al., 2008). Importantly, polyembryonic types maintained significantly higher levels of leaf K+, leaf Ca2+, stem K+, stem Ca2+, and root Ca2+ when exposed to salt. In addition to boosting osmotic adjustment (Mahouachi, 2018) and improving cell membrane stability (Cimato et al., 2010), this may have also restricted Na+ uptake (Gengmao et al., 2015), leading to higher leaf and root biomass in the polyembryonic types. Our results broadly concur with earlier findings in mango (Pandey et al., 2014) and citrus (Hussain et al., 2012), which suggest that polyembryonic genotypes may perform better under salt stress.

Correlation analysis indicated that Na+ probably had a stronger restrictive effect on leaf, stem and root biomass than Cl, regardless of the seedling type. The greater inhibitory effects of Na+ on plant growth are known in citrus (Balal et al., 2012) and olive (Perica, Goreta & Selak, 2008). In our study, salt stress caused increased build-up of Na+ in different plant parts. Na+ transport in plants is primarily unidirectional with little recirculation from shoots to roots, which causes Na+ to gradually build-up in shoots. The higher Na+ levels then cause metabolic toxicity by competing with K+ in cellular functions (Tester & Davenport, 2003). Contrarily, phloem recirculation seems to limit Cl accumulation in aerial plant parts (Godfrey et al., 2019). Thus, we suppose that phloem recirculation might shield jamun plants against Cl toxicity (Brumos et al., 2010). Significant positive correlations between biomass attributes and leaf K+ implied that enhanced accumulation of K+ may contribute to osmotic adjustment (Pérez-Pérez et al., 2009) and facilitate sequestration of excess Na+ into vacuoles (Zarei et al., 2016). Approximately 98.0% of the cumulative variance in the data was described by the first two linear discriminant functions alone, demonstrating the robustness of LDA in reducing the dimensionality (Ye & Ji, 2010). Because the variables (stem and root Cl-) loaded heavily on first linear discriminant function (LD-1) were not significantly different between both the groups under control and saline conditions, we assume that this discriminant function represented the shared responses to salinity stress. Similarly, we assume that LD-2 represented the divergent responses to salinity stress, since the major variables on LD-2 (root Na+, leaf K+ and leaf Cl) significantly differed between the two groups under salt treatment. Earlier, the most significant features driving the responses of grape (Bari et al., 2021) and olive (Boshkovski et al., 2022) genotypes to salt stress were reliably delineated by discriminant analysis. In our study, the overall classification accuracy of LDA was 80.21%, quite similar to the values reported in Boshkovski et al. (2022).

Salinity-triggered declines in Pn varied between 20.47% (CSJ-18) and 83.37% (CSJ-1). Interestingly, the genotypes showing the largest salt-induced decreases in Pn (CSJ-1 and CSJ-13) also had the highest Pn rates in the absence of salt (Mousavi et al., 2019). The decreases in Pn also seemed to be largely independent of leaf Na+ and Cl contents. For instance, despite quite similar increases in leaf Na+ (109.16 and 97.89%, respectively), genotypes CSJ-18 and CSJ-42 showed remarkably different reductions in Pn (i.e., 20.46 and 58.37%, respectively). Similarly, genotypes CSJ-1 and CSJ-18 showed 83.38 and 20.46% decreases in Pn, respectively, despite salt-induced increases in leaf Cl being 19.23 and 80.77%, respectively (Alipour, 2018; Hussain et al., 2012). The tested genotypes showed varying degrees of reductions in transpiration rate (E) and internal CO2 (Ci). Despite being crucial for regulating ion absorption, reduced transpiration can impede plant growth by lowering the photosynthesis (Negrão, Schmöckel & Tester, 2017). The activity of antioxidant enzymes also showed significant genotypic differences. For instance, while APX activity increased markedly (>70.0%) in response to salt in CSJ-18 and CSJ-19, it increased by only ~28.0% in CSJ-1. CSJ-1 also displayed the lowest (~8.0%) increase in CAT activity while it was the highest (63.48%) in CSJ-18. When exposed to salt, genotypes CSJ-18 and CSJ-19 also showed significantly higher levels of POX and SOD than other genotypes. This implies that jamun genotypes react differently in terms of antioxidant enzyme activity to oxidative stress brought on by salt (Ayaz et al., 2021; Singh et al., 2023). The antioxidant enzymes shield the salt-stressed plants from oxidative damage by detoxifying the ROS and regulating ROS formation (Moradbeygi et al., 2020), and are believed to be potential markers for identifying the salt-tolerant genotypes (Sorkheh et al., 2012). We noticed that genotypes CSJ-18 and CSJ-19 were particularly efficient in upregulating anti-oxidant enzymes. Certain genotypes are frequently better at fending-off oxidative damage caused by salt because they have stronger antioxidant defenses (Abid et al., 2020; Ayaz et al., 2021; Etehadpour et al., 2020). Genotypic variations in antioxidant activities can be attributed to their intricate expression (Racchi, 2013) and organelle-specific activities (Niu & Liao, 2016) within plant cells.

Conclusions

Our results demonstrated distinct genotypic responses to salt within both mono- and poly-embryonic types. The decreases brought on by salt in leaf, stem, root and whole plant biomass were relatively greater in monoembryonic than in polyembryonic types. Furthermore, most polyembryonic genotypes exhibited lower or much lower reductions in root than in shoot mass when treated with salt, suggesting that they might be more adept at absorbing water and nutrients in saline soils. Despite significant increases in Na+ and Cl- in different plant parts, leaf tip burn and marginal scorch were not seen in the majority of the genotypes. While this raised the possibility of tissue tolerance, which assists in storing excess Na+ and Cl in vacuoles, we also assume that preferential accumulation of K+, Ca2+ and Mg2+ may have played a role in osmotic adjustment and decreased Na+ uptake. Discriminant analysis suggested that while stem and root Cl- were likely responsible for the common reactions, root Na+, leaf K+ and leaf Cl accounted for the divergent responses to salt of the mono- and poly-embryonic types. Some polyembryonic genotypes (CSJ-7, CSJ-8, CSJ-14 and CSJ-19), found to be least affected by salt treatment, could be used as salt-tolerant rootstocks. All the genotypes evaluated by us, including the promising polyembryonic types which propagate true-to-type from seeds, are being maintained in a salt-affected field for further investigation and use. Future studies should aim at delineating the plausible factors accounting for tissue tolerance to excess Na+ and Cl, and preferential uptake of K+, Ca2+ and Mg2+.

Supplemental Information

Supplementary Tables.

DOI: 10.7717/peerj.17311/supp-1