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Abstract 


Bacterial blight (BB) caused by Xanthomonas axonopodis pv. punicae (Xap) is the major scourge in pomegranate cultivation leading to an extensive yield loss up to 60-80%. Hence, identifying a novel resistance source for BB is very necessary for developing a suitable management strategy. Host range analysis and cross-inoculation studies revealed that Xap is specific to pomegranate and there are no alternative hosts to the pathogen. Screening of 149 accessions recorded the varied disease resistance levels with mean disease severity of 30.67%. Accession lines IC318735, IC318724, and IC318762 exhibited maximum disease tolerance by exhibiting the lowest disease severity of 4.91, 5.66, and 6.82%, respectively. Comparative expression analysis of defence genes in IC318724 and IC318735 recorded significant upregulation of phenylalanine ammonia-lyase (PAL), callose synthase-3 (CS3), chitinase, pathogenesis-related protein-1 (PR1), and pathogenesis-related protein-10 (PR10), indicating these genes might be actively involved in conferring disease tolerance. Abiotic elicitors were tested to induce systemic resistance in agronomically superior and widely adapted variety Bhagwa for managing BB of pomegranate. Among the various elicitors tested; proline (600 ppm), gamma-aminobutyric acid (600 ppm), chitosan (600 ppm), β-aminobutyric acid (200 ppm), laminarin (600 ppm), and eugenol (200 ppm) recorded maximum disease protection in prophylactic treatment with disease protection of 89.59, 88.59, 87.15, 86.08, 81.05, and 78.72%, respectively. Similar observations were recorded when these were applied as curative treatment. The present study will broaden our understanding of host-pathogen interactions during BB infection in pomegranate, also aid in developing ideal approach for developing effective disease management.

Supplementary information

The online version contains supplementary material available at 10.1007/s13205-021-02721-y.

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Logo of threebio
3 Biotech. 2021 Apr; 11(4): 180.
Published online 2021 Mar 20. https://doi.org/10.1007/s13205-021-02721-y
PMCID: PMC7981347
PMID: 33927971

Differential gene responses in different varieties of pomegranate during the pathogenesis of Xanthomonas axonopodis pv. punicae

Associated Data

Supplementary Materials

Abstract

Bacterial blight (BB) caused by Xanthomonas axonopodis pv. punicae (Xap) is the major scourge in pomegranate cultivation leading to an extensive yield loss up to 60–80%. Hence, identifying a novel resistance source for BB is very necessary for developing a suitable management strategy. Host range analysis and cross-inoculation studies revealed that Xap is specific to pomegranate and there are no alternative hosts to the pathogen. Screening of 149 accessions recorded the varied disease resistance levels with mean disease severity of 30.67%. Accession lines IC318735, IC318724, and IC318762 exhibited maximum disease tolerance by exhibiting the lowest disease severity of 4.91, 5.66, and 6.82%, respectively. Comparative expression analysis of defence genes in IC318724 and IC318735 recorded significant upregulation of phenylalanine ammonia-lyase (PAL), callose synthase-3 (CS3), chitinase, pathogenesis-related protein-1 (PR1), and pathogenesis-related protein-10 (PR10), indicating these genes might be actively involved in conferring disease tolerance. Abiotic elicitors were tested to induce systemic resistance in agronomically superior and widely adapted variety Bhagwa for managing BB of pomegranate. Among the various elicitors tested; proline (600 ppm), gamma-aminobutyric acid (600 ppm), chitosan (600 ppm), β-aminobutyric acid (200 ppm), laminarin (600 ppm), and eugenol (200 ppm) recorded maximum disease protection in prophylactic treatment with disease protection of 89.59, 88.59, 87.15, 86.08, 81.05, and 78.72%, respectively. Similar observations were recorded when these were applied as curative treatment. The present study will broaden our understanding of host–pathogen interactions during BB infection in pomegranate, also aid in developing ideal approach for developing effective disease management.

Supplementary Information

The online version contains supplementary material available at 10.1007/s13205-021-02721-y.

Keywords: Punica granatum, Germplasm, Biotic stress, Gene expression, Disease tolerance, Induced systemic resistance, Inducer

Introduction

Pomegranate (Punica granatum L.) is an ancient fruit crop, has gained worldwide popularity due to its high nutraceutical and medicinal value. Pomegranates are rich in antioxidants, antibacterial, antifungal properties, and hence touted as a “superfood” (Johanningsmeier and Harris 2011). Cultivation of pomegranate is attracting more farmers due to its hardy nature, wide acclimatization to varied soil and climatic condition, and tolerance to salt and drought stress. Consistent demand in the national and international markets also widened the scope for earning higher remunerative value by pomegranate cultivation. In recent years, total crop production is severely compromised due to bacterial blight (BB) infection caused by Xanthomonas axonopodis pv. punicae (Xap) (Sharma et al. 2015). Benagi and Kumar (2009) recorded the high yield loss from 1.8 lakh tonnes to less than 10,000 tonnes per annum in 2007–2008 accounting for revenue loss of about Rs. 200 crores in India. BB disease was a minor threat in the beginning when it was first reported, but now it has become an epidemic infecting all the major areas of pomegranate cultivation and hampering production in India (Sharma et al. 2015). The disease is also reported in Turkey, Pakistan, and South Africa (Icoz et al. 2014; Akhtar and Bhatti 1992; Petersen et al. 2010) and slowly spreading across the world, making an international issue of pomegranate (Fig. S1).

The infection of BB can be seen on leaves, twigs, and fruits. Typical symptoms include oily water-soaked lesions on leaves and fruit, later the same developing into brown-to-black necrotic lesions with irregular cracks (Singh et al. 2015). The entry of the pathogen generally occurs through natural openings like stomata, hydathodes, lenticels, and wounds. Under field conditions the pathogen spreads mechanically through rainwater splashes, insects, vectors, improper water irrigation systems, and poor management practice (Sharma et al. 2015). Xap is a versatile pathogen, can survive in plant debris, soil with minimum moisture for a long time (Sharma et al. 2015) resulting in an easy spread of the pathogen. Most plant pathogens can infect a wide range of plant species and that referred to as alternate hosts which act as a reservoir for pathogen and increase the pathogen spread (Farr et al. 2004). Developing an effective disease management strategy is very necessary to understand pathogen biology and its wide host range. Biochemical and molecular-based characterization has been widely used for the identification of the pathogen and effector-based avirulence (Avr) genes provide the most accurate tool for molecular confirmation of the pathogen (Doddaraju et al. 2019; Block et al. 2008).

Domestication and modernization of agricultural practices have drastically reduced the genetic variation of the crop by replacing it with high yielding and these high-yielding varieties are susceptible to various pests and diseases (Tanksley and McCouch 1997; Samal and Rout 2018). In pomegranate, Bhagwa, Arakta, Ganesh, and Mridula are the most popular cultivars having maximum yield and high commercial value but, none of them are resistant/tolerant to bacterial blight (Priya et al. 2016). Hence, identification of novel resistance sources and utilizing them in breeding of resistant cultivars, is on high priority. Under the limitations of poor resistance sources, several integrated disease management (IDM) protocols have been demonstrated for the effective management of BB in pomegranate (Anonymous 2008; Benagi and Kumar 2009). These IDM protocols include a combination of chemical antibiotics/pesticides that are harmful to the environment, and the application of these chemicals requires a huge per-capita investment.

Plants have evolved with both acquired and innate immunity to combat various biotic stresses. Interactions between plant and pathogen develop reactive oxidative burst, leading to cell death. During pathogen invasion, local responses in plants include the change in cell wall composition, lignin production, cell wall thickening, and synthesis of the antimicrobial component such as pathogen-related proteins (PR proteins) and phytoalexins (Slusarenko et al. 2000). These responses are triggered by several signaling compounds or elicitors molecules mediated through, salicylic acid (SA), abscisic acid (ABA), jasmonic acid (JA), and/or ethylene (ET) pathway during pathogen combat (Slusarenko et al. 2000; Wang et al. 2019; You et al. 2011; Kashyapa et al. 2018). Elicitor molecules induce systemic resistance in various crops, such as glycoproteins, oligosaccharides, lipids, X-glucans, and chitin oligomers (Aziz et al. 2003). Due to their potential role as plant protectants, these elicitor molecules have been the most effective tools for systemic disease control in various crops (Hayat et al. 2012; Justyna and Ewa 2013; Xin et al. 2019; Kashyapa et al. 2018).

With all these prospects in the present study, 149 rare pomegranate germplasm have been collected from different geographical locations. They were screened against Xap and evaluated the expression level of pathogen-triggered immune responses against BB. Further, in search of a novel alternative strategy for disease management, different elicitor molecules that are known to induce systemic resistance in the various plant species were evaluated under the greenhouse condition to know their efficacy in controlling BB.

Materials and methods

Isolation of the pathogen

Pomegranate leaf and fruit samples showing typical symptoms of bacterial blight (Fig. S2A) were collected from pomegranate orchards around Bagalkot district Karnataka state, India (16° 14′ 20.7ʺ N 75° 37′ 11.4ʺ E). Tissue samples were washed thoroughly in running tap water, surface sterilized with 0.01% mercuric chloride (HgCl2) for 30 s and subsequently washed twice with distilled water. Healthy and infected tissue samples displaying water-soaked necrotic lesions were cut into small pieces and teased into few drops of sterile water, allowed the bacteria to ooze out of tissue for 10 min. A loopful of tissue sap was streaked on to the NGA (nutrient glucose agar) medium and incubated at 28 ± 0.5 °C and observed up to 96 h post-incubation. Bacterial colonies showing typical symptoms of mucoid, yellow pin-headed obtained after 48 h were selected and sub-cultured separately and tested for pathogenicity and molecular identification/confirmation.

Testing the pathogenicity of Xanthomonas axonopodis pv. punicae

One-year-old Bhagwa plants raised in greenhouse conditions (28 ± 0.5 °C, 60–70% relative humidity) were used for pathogenicity tests and other studies. Bacterial inoculum was prepared by inoculating the pure and single colony of Xap in NG broth, culture flasks were incubated at 28 ± 0.5 °C for 72 h and bacterial inoculum with a minimum concentration of 0.25 OD600 nm (108 CFU/ml) was used for pathogenicity test. Pathogenicity test was carried out according to Sharma et al. (2017).

Effect of pH, temperature, and salt on optimal growth of the pathogen

To check the optimum temperature required for the growth Xap cultures were inoculated in NG agar medium and incubated at different temperatures starting from 25, 28, 31, and 35 °C with the variation of ± 0.5 °C and then observations for the total growth was recorded. The optimum pH required for Xap growth was determined in liquid broth culture. 5 ml NG broth was prepared, and pH was adjusted from 4 to 9 using 1 N NaOH and 1 N HCl. A loop full of a pure culture of Xap was inoculated into each broth and tubes were incubated at 28 ± 0.5 °C at 110 rpm. Observations were recorded until bacterial OD reaches 0.2 at 600 nm in neutral pH conditions. To understand the sensitivity of Xap to minimum salt concentration, NG agar medium was supplemented with different concentration of salt (NaCl) varying from 0, 1, 2, 3, and 4%, and the single colony of Xap was streaked on the medium and incubated at 28 ± 0.5 °C and observations were recorded.

Further, to test the pigmentation production capabilities of Xap, a single colony of culture was inoculated into 5 ml NG broth and incubated at 28 ± 0.5 °C. The tubes were examined for 30 days for pigment production and the observations were documented.

Host range studies of pathogen Xanthomonas axonopodis pv. punicae

To understand the host range of the pathogen Xap, ten plant species belonging to different families were selected (Table (Table1).1). Plants were raised in polythene bags and maintained at 60–70% relative humidity with 28 ± 0.5 °C temperature under the greenhouse condition. To check the host range equal volume of the pathogen of known concentration (20 ml/plant, concentration 0.25 OD600) was evenly sprayed inoculated on each plant, and covered with polythene bags to facilitate the pathogen entry. Observations were recorded up to 30 days for any phenotypic expression of typical symptoms of bacterial blight or any other biotic stress, known as host pomegranate plants as the positive control. All the plants were maintained in three replications and conducted two independent experiments to examine the result consistency.

Table 1

Host range studies of Xanthomonas axonopodis pv. punicae tested against different plants belong to the different families by artificial inoculation technique under greenhouse conditions

Sl. no.Different Host species selected for cross-inoculation studiesXap infectivity
Common nameScientific nameInfecting Xanthomonas spp.
1PomegranatePunica granatumXanthomonas axonopodis pv. punicae+
2CottonGossypium hirsutumXanthomonas axonopodis pv. malvacearum
3LemonCitrus aurantifoliaXanthomonas axonopodis pv. citri
4CabbageBrassica oleracea var. capitataXanthomonas campestris pv. campestris
5TomatoSolanum lycopersicumXanthomonas campestris pv. vesicatoria
6BeetlePiper betelXanthomonas campestris pv. betlicola
7BananaMusa acuminataXanthomonas campestris pv. musacearum
8ChilliCapsicum annuumXanthomonas campestris pv. vesicatoria
9NeemAzadirachta indica_
10PongamiaPongamia pinnata_

‘+’ symbol indicates infection ‘−’ indicates the absence of infection of the pathogen

Cross-inoculation studies of Xanthomonas spp. on pomegranate

The cross-inoculation test was performed to check the ability of closely related Xanthomonas spp. to cause bacterial blight disease in pomegranate (Table (Table2).2). Three Xanthomonas species viz., Xanthomonas citri subsp. citri causing citrus canker in citrus lemon, Xanthomonas campestris pv. campestris causing black rot in cabbage and Xanthomonas campestris pv. malvacearum causing bacterial blight in cotton was used to perform cross-inoculation study. Pure bacterial strains of, Xanthomonas campestris pv. campestris (BH0001), and Xanthomonas campestris pv. malvacearum (BA0001) were obtained from Indian Type Culture Collection (ITCC), IARI-New Delhi India, and Xanthomonas citri subsp. citri (BN0001) was obtained from the Department of Biotechnology, University of Mysore Karnataka India. All the cultures were maintained as a pure culture on the NGA medium and sub-cultured on the broth medium.

Table 2

Cross-inoculation studies of different Xanthomonas spp. on pomegranate plants under greenhouse conditions

Sl. no.PathogenHostDisease on hostBacterial blight infection on pomegranate
1Xanthomonas citri subsp. citriLemonCitrus canker
2Xanthomonas campestris pv. campestrisCabbageBlack rot
3Xanthomonas campestris pv. malvacearumCottonBacterial blight of cotton

‘+’ symbol indicates infectivity ‘−’ indicates the absence of infection of the pathogen

Cross-inoculation studies were conducted using 1-year-old pomegranate plants cv. Bhagwa maintained in temperature of 28 ± 0.5 °C with a relative humidity of 60–70%. Before pathogen inoculation, plants were covered with polythene bags for 24 h and then sprayed with the pathogen (20 ml/plant, 0.25 OD600; Sprayer model- Badger200.3, Deluxe set™ Franklin Park, USA), and again plants were covered with polybags for further 24 h, to facilitate pathogen entry. For each pathogen (BH001, BA0001, and BN001) respective host plants were maintained as control. Observations were recorded till 30 days of post-inoculation. All the inoculation studies were carried out in three replication and repeated twice.

Molecular confirmation of Xap

Isolation of total genomic DNA from Xap

Total genomic DNA from Xap was isolated from the single colony inoculated in NG broth culture grown for 72 h at 28 ± 0.5 °C. Isolated DNA was quantified using the NanoDrop spectrophotometer (ND-1000, ThermoFisher, MA, USA)_ENREF_38. Effector-coding genes XopQ (Doddaraju et al. 2019) used for PCR-based identification of Xap. PCR amplification was performed in a 15 µl reaction mix containing 100 ng of DNA, 1X PCR Buffer, 200 μM of dNTPs, 0.2 µMoles each of forward and reverse primer, and 1 U Taq DNA polymerase (Merck, Bangalore, India). Primers were amplified with PCR cycle of initial denaturation at 94 °C for 4 min, then 30 cycle denaturation at 94 °C for 60 s, annealing for 45 s depending on primer Tm value (Table S2) and extension 72 °C for 1 min, followed by a final extension at 72 °C for 5 min in a thermocycler (Eppendorf vepo. protect Germany). PCR products were resolved on 1.4% agarose gel using a horizontal electrophoresis system (Bio-Rad, Hercules, California, USA). The amplified products were stained using ethidium bromide (0.001 mg/ml), and gel images were photographed using a Gel Logic 212 Pro imaging system (Gel Logic 212 PRO, Carestream, USA). Further, PCR products were cloned into DH5α-Escherichia coli strains and sequenced. Homology searches for the obtained sequences were performed using NCBI-nucleotide-BLAST (BLASTn). Xanthomonas spp. were identified based on the BLAST result and the sequences are submitted to the NCBI database and accession numbers were obtained.

Screening of germplasm and disease scoring

Collection and growing of planting material

A panel of pomegranate germplasm (149) was obtained from the Indian Institute of Horticulture Research, Bangalore, Horticultural Research Station, Vijaypura, and National Research Centre on Pomegranate, Solapur Maharashtra India. Collected germplasm was maintained under greenhouse conditions temperature 28 ± 0.5 °C and 60–70% relative humidity.

Preparation and inoculation of BB pathogen

A pure and single colony of Xap was inoculated on to nutrient glucose broth medium and incubated at 28 ± 0.5 °C at 110 rpm, until the OD600 reaches 0.25. All the plants were inoculated with 20 ml of a bacterial suspension using an airbrush (Badger-200.3, Deluxe set™ Franklin Park, USA). After inoculation plants were covered with polythene bags to facilitate infection for 24 h. All the accessions were maintained as triplicates for the pathogenicity test and two replications for water control.

Disease scoring

Disease scoring was performed by grading each leaf on the plant (Fig. S3). Disease scoring was calculated according to the following formula (Singh et al. 2015). After disease scoring, the total percentage of each line was categorized into five grades, germplasm with no disease or 0 severity recorded as tolerant, germplasm with disease severity between 1 and 10 represented as tolerant, germplasm having disease severity of 10–25% represented as moderately susceptible and germplasm with more than 25% recorded as highly susceptible to the pathogen:

Percent disease severity=Number of infected leaves×Grade obtainedTotal number of leaves×Maximumgrade×100.

Analysis of defense responses in tolerant lines of pomegranate

Collection of leaf samples

For gene expression analysis 6-month-old Bhagwa, IC318735, and IC318724 series plants were selected with a minimum of three replicates of each. Post-pathogen inoculation leaf samples were collected at 0, 24, 72, and 216 h. Collected samples were immediately frozen by dipping into liquid nitrogen and stored at − 80 °C until use.

RNA isolation

Total RNA isolation was carried out using the Spectrum plant total RNA kit (Sigma, USA) by following the instruction provided in the kit. Following RNA isolation quantification of RNA was done using NanoDrop (Thermo Scientific) by measuring the OD value at 260 and 280 nm. To purify the RNA from genomic DNA contaminations the whole RNA was treated with DNase I enzyme (RNase free, Thermo Scientific). A total of 1000 ng of RNA was used for cDNA synthesis using RevertAid H-minus M-MuLV Reverse Transcriptase (Thermo Scientific) according to the manufacturer’s protocol. cDNA was diluted to a ratio of 1:5 and used for qPCR analysis.

Expression analysis using qPCR

A total of 5 defense responsive genes (Table S2), two genes from pathogenesis-related proteins family (PR1 and PR10), one from phenylpropanoid pathway (PAL), and two structural or cellular defense gene callose synthase (CS3) and chitinase genes were selected for the analysis of differential expression studies. The gene expression patterns were studied in most tolerant lines IC318735 and IC318724 in comparison to Bhagwa. qPCR was performed using the Step-OnePlus Real-Time PCR System (Applied Biosystems), with three biological and two technical replicates. Primers specific to each targeted gene were designed using Oligo Explorer system software (version 1.1.0). The housekeeping gene GAPDH was used for normalizing the expressed data (selected based on evaluating eight reference genes identified in our laboratory). The primer pairs used in the present study are listed in Table S2. The qPCR analysis was performed in a 10-µl reaction mixture containing SYBR Green master mix of 1× concentration (Applied Biosystems, Foster City, California), 0.25 µM of primer, 2 µl of cDNA dilution (tenfold dilution). The qPCR cycled was performed as following initial activation 50 °C for 2 min, 2 min at 94 °C followed 40 cycles of by denaturation 94 °C and 1 min annealing and extension at 60 °C. Post-completion of the qPCR cycle, melt curve analysis of the amplified products was set between 60 and 95 °C and data were collected at every 0.3 °C to determine the primer specificity. The relative gene expression patterns were calculated in terms of fold change as 2−ΔΔCT method (Livak and Schmittgen 2001) in comparison with the most susceptible cv. Bhagwa.

Evaluation of resistance inducers against BB

All the inducer molecules were first tested with the different concentrations under the greenhouse to know their effect on the plant before treatment imposition (Table S3). Eleven inducer molecules such as proline (600 ppm), GABA (600 ppm), chitosan (600 ppm), BABA (200 ppm), laminarin (600 ppm), eugenol (200 ppm), isonicotinic acid (80 ppm), paclobutrazol (200 ppm), salicylic acid (300 ppm), methyl jasmonate (300 ppm), K2HPO4 (600 ppm), with the optimum concentrations under greenhouse condition along with streptocycline (0.5 gl−1) as a standard control (Table (Table4).4). The inducers were tested for both 24 h after (curative) and 24 h before (preventive property) pathogen inoculation. The experiment was conducted in a randomized block design with three replications. All the sprays were applied using a hand sprayer until they run-off from the leaf area and plants treated with sterile water are maintained as control.

Table 4

Effect of resistance inducers/elicitor molecules against the bacterial blight of pomegranate under greenhouse condition

InducerConcentrationProphylacticCurative
Disease severity (%)Disease protection over control (%)Disease severity (%)Disease protection over control (%)
Proline600 ppm

3.62f

(10.92)

89.59

9.48e

(17.91)

72.74
GABA600 ppm

3.96f

(11.47)

88.59

8.3f

(16.71)

76.14
Chitosan600 ppm

4.46f

(12.14)

87.15

8.15f

(16.53)

76.57
BABA200 ppm

4.84f

(12.69)

86.08

10.36de

(18.76)

70.19
Laminarin600 ppm

6.59e

(14.83)

81.05

12.27d

(20.48)

64.70
Eugenol200 ppm

7.40e

(15.76)

78.72

12.36d

(20.57)

64.44
Isonicotinic acid80 ppm

8.34e

(16.77)

76.01

13.79d

(21.77)

60.34
Paclobutrazol200 ppm

11.48d

(19.78)

66.99

17.07c

(24.38)

50.91
Salicylic acid300 ppm

12.78d

(20.91)

63.24

16.45c

(23.90)

52.70
Methyl jasmonate300 ppm

16.47c

(23.92)

52.64

21.74b

(27.75)

37.48
K2HPO4600 ppm

18.47b

(25.44)

46.88

22.81b

(28.50)

34.42
Streptocycline0.5 gl−1

2.33fg

8.67)

93.29

4.33fg

(11.97)

87.54
Control

34.78a

(36.11)

0.00

34.78a

(36.11)

0.00
C.D1.832.56
SE(m)0.620.87
SE(d)0.881.23
C.V10.3910.25

All the figures in parenthesis represent the arcsine transformed values. The letters indicate the significant difference between mean values at p = 0.05 according to Duncan's new multiple range tests

CD critical difference, SE(m) standard error mean, CV critical variance, SE(d) standard deviation

Data recording and statistical analysis

Greenhouse experiments for identifying novel inducer molecular against BB was performed in a completely randomized block design. All statistical analyses were performed using an R software program with an analysis of variance. Duncan's multiple range test was performed at P = 0.05 significance. Percent disease severity was calculated according to Singh et al. (2015), and percent disease protection was calculated as per the following formulae:

Percent disease protection was calculated using=Disease severity in control-Disease severity in treatmentDisease severity in the control×100

Results

Isolation and pathogenicity of the pathogen

The pathogen was successfully isolated from infected tissue samples. A typical colony of yellow, circular, convex, mucoid, pin-headed appear after 48 h of incubation were selected and further sub-cultured on NG medium (Fig. S2B). Pathogenicity of the isolated culture was proved as per Koch's postulates. Upon artificial inoculation, plants exhibit typical characteristics symptoms of oily water-soaked lesions on leaves, gradually developed into yellow hallow, and turn to dark brown lesions, water-treated control plant did not show any symptom of pathogen infection (Fig. 1).

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Pathogenicity study of isolated bacterial culture Xanthomonas axonopodis pv. punicae in pomegranate plant (cv. Bhagwa) under greenhouse condition. a Control plant inoculated with water. b Infected plant showing typical symptoms of bacterial blight on 9th day post-inoculation. c Test plant showing typical symptoms of bacterial blight on 20th days post-inoculation

Effect of pH, temperature, and salt concentration on Xap growth

Xap pathogen was tested for its growth efficiency in different abiotic stress conditions like high and low pH, salt, and temperature. The optimum pH required for Xap growth was observed to be between a pH of 6–8, growth beyond 8 or below 6 was completely absent (Fig. S4). Xap was also found sensitive to temperature, the optimum temperature required for Xap growth was recorded to be 29 ± 3 °C, the growth was completely restricted above 34 °C and slow growth was observed below 24 °C. Similarly, Xap exhibited high sensitivity towards salt/NaCl concentration (Fig. S5). Sufficient growth of Xap observed up to 1% of NaCl concentration and there was no growth beyond 1% of NaCl, indicating Xap can tolerate a maximum of 1% NaCl in the artificial medium.

Unique dark brown fuscan pigmentation was observed in Xap inoculated NGA medium from 10 days post-inoculation., the intensity of the pigmentation was increased gradually from the day of inoculation. Production of pigmentation is a unique character of Xap, helps in differentiating with other non-pathogenic bacteria.

Host range studies of pathogen Xanthomonas axonopodis pv. punicae

The infection ability of Xap in different hosts was conducted on cotton, lemon, cabbage, tomato, betel, banana, chilli, anthurium, neem, and pongamia plants. A known concentration of Xap was inoculated on each plant along with susceptible host pomegranate (Bhagwa) as a control. Typical symptoms of bacterial blight were observed in pomegranate 6 days post-inoculation on pomegranate leaves. But there were no blight or any other biotic stress symptoms on other species even after 30 days of observation (Table (Table1).1). This experimental result indicates that Xap can only infect pomegranate, and there are no alternate hosts to the Xap.

Cross-inoculation studies of Xanthomonas spp. on pomegranate

Cross-inoculation of different Xanthomonas spp. was conducted on 1-year-old healthy cv. Bhagwa plants. Upon inoculation of each pathogen, observations were recorded for any bacterial blight symptoms. Inoculation of Xanthomonas citri subsp. citri on citrus lemon raised lesions with a blister-like appearance on 8th day post-inoculation, no such symptoms or bacterial blight were recorded on test plant pomegranate (Table (Table2).2). Inoculation of Xanthomonas campestris pv. campestris produced typical symptoms of black rot along with the veins and leaf blades on 9 days post-inoculation on cabbage and this pathogen also did not produce any symptoms of bacterial blight or any necrotic lesions on the pomegranate plant. Similarly, inoculation of Xanthomonas campestris pv. malvacearum produced typical water-soaked spots in cotton plants 12th day post-inoculation, and this pathogen also failed to produce any symptoms of bacterial blight on pomegranate plants. Additionally, each test plant was observed for a further 30 days post-pathogen inoculation, no bacterial blight/necrotic or any biotic stress symptoms were observed on pomegranate plants. This study indicates that Xap is the only pathogen responsible for causing BB in pomegranate, no tested Xanthomonas other pathogens can cause BB.

Molecular identification of Xap

The molecular identity of the pathogen was established using XopQ effector protein primer. Exact amplification at 190 bp of the partial gene sequence in gDNA of Xap confirmed the isolate as Xap (Fig. 2). The sequence details were submitted to NCBI gene bank and the Accession number is availed KX702398.1.

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PCR amplification of XopQ effector-based primers from gDNA isolated from a pure culture of Xanthomonas axonopodis pv. punicae. Lane, M = GenRuler mix 1 kb, 1 = XopQ primer amplification at 190 bp

Evaluation of pomegranate germplasm

A total of 149 pomegranate germplasm were screened for BB under the greenhouse condition by artificial inoculation technique. All the screened lines recorded the disease to the BB pathogen Xap, with varying susceptibility levels. Among the screened lines, a large majority of lines recorded high susceptibility recording disease severity of more than 25%, and commercially cultivated Bhagwa recorded the highest disease severity of 58.11% followed by Bedanasedana, Mridual, and Ruby with 55.81, 54.43, and 49.87% of disease severity, respectively (Table (Table3).3). Among 149 genotypes, 31 genotypes are moderately susceptible to the pathogen and these include most of the EC series and few IC series genotypes. Seven genotypic lines recorded the least severity and were categorized as tolerant lines, where IC318735 recorded the lowest disease severity with 4.91% followed by IC318724 and IC318762 and with 5.66 and 6.82% of disease severity, respectively. Frequency distribution analysis also indicated a varied level of disease severity in screened lines with mean disease severity of 30.67% and a standard deviation of 9.22 (Fig. 3).

Table 3

Summary of pomegranate germplasm/accessions response to bacterial blight pathogen under greenhouse

Sl. no.Accession no.Disease severity (%)Phenotypic disease observationDisease reaction
Day6Day9Day20
1.Bhagwa58.11Highly susceptible
2.Bedanasedana55.81
3.Mridula54.43
4.Ruby49.87
5.Bosekaliniski46.82
6.Arakta44.49
7.Sural Anar43.12
8.Ganesh43.17
9.K.R. S42.59
10.P-2642.62×
11.Sural Anar42.42×
12.Cranado-de-Etcho42.23
13.Sursakkar42.14×
14.Shirin Anar41.48
15.Coimbatore White41.25×
16.Speensakarin40.69×
17.Kabul40.55
18.Masta40.51
19.Kazki Anar40.49
20.Kabul yellow40.25×
21.Gul-e-shah rose pink40.08×
22.Kabul39.71
23.IC31878739.57×
24.Bedan thin skin39.38
25.Gal-e-shah red39.31
26.Jodhpur red39.27×
27.Jyoti38.89×
28.Achik Dana38.80
29.Dholka38.59
30.A.K.Anar38.32×
31.P-2338.40×
32.G-13738.30×
33.Kaladagi Local Tidagundi38.21×
34.EC79876638.01×
35.Kabul Conoor37.94
36.IC31876637.54
37.EC79875936.61
38.EC79875136.57
39.Yercaud36.19
40.Kabul36.02
41.Kaladagi local36.18
42.RCR CB Plot35.80×
43.Yercaud HRS35.63
44.IC31870535.40
45.P-1335.15
46.Baiseen seedless35.16×
47.EC79879335.15×
48.EC79874035.31×
49.IC31878434.66
50.Lupinia34.49
51.Alandi34.43
52.IC31879734.29
53.P-1634.22×
54.IC31879134.11×
55.Kazakali Anar33.56×
56.EC79885133.46×
57.Patna- 533.17×
58.Soft grafted33.14×
59.EC79873132.91×
60.IC31877532.52×
61.IC31871732.50×
62.IC31873631.84×
63.IC31875231.82×
64.EC79878330.73×
65.EC79879831.72×
66.Domani31.45×
67.Alah31.24×
68.Tabesto31.21×
69.EC79875831.20×
70.Speen Danedar31.01×
71.Bedana Suri (B)31.29×
72.EC79880731.20×
73.EC79878931.11×
74.IC31870831.12×
75.EC79879731.32×
76.IC31869730.42×
77.EC79885030.14×
78.Kanamadi 230.52×
79.Dorasata Malas30.09×
80.EC79880130.46×
81.EC79874930.06×
82.Yercaud Local29.96×
83.Gul-e-shah29.63×
84.Bedana Suri (A)29.61×
85.Agah29.19×
86.EC79875429.79×
87.EC79876229.69×
88.EC79882929.80×
89.IC31870129.15×
90.EC79884329.76×
91.Jalore seedless28.81×
92.Kali Shirin28.75×
93.EC79882128.51×
94.EC79883328.32×
95.EC79884028.44×
96.EC79873028.11×
97.EC79883828.34×
98.IC31875828.21×
99.EC79882828.46×
100.IC31873328.61×
101.Sihaishirin27.39×
102.EC79883627.92×
103.EC79877627.45×
104.IC31877627.98×
105.EC79877327.93×
106.IC31873826.39×
107.IC31873826.39×
108.EC79872926.39×
109.EC79872326.19×
110.EC79876726.14×
111.IC31876025.64×Moderately susceptible
112.EC79874625.46×
113.IC31870924.36××
114.IC31875924.51×
115.EC79883224.27×
116.IC31870023.25××
117.EC79878423.03×
118.EC79880623.46×
119.EC79877223.19×
120.EC79876823.33×
121.IC31870322.10××
122.EC79877422.82××
123.EC79881022.90×
124.EC79873422.67×
125.EC79880422.67×
126.EC79884222.21×
127.EC79875622.78×
128.IC31875421.59×
129.IC31879821.09×
130.IC31876720.94×
131.EC79879620.59×
132.EC79874220.07×
133.EC79876520.42×
134.IC31879019.99×
135.EC79873520.87×
136.EC7988219.59×
137.EC79878019.01×
138.IC31871618.57××
139.IC31873218.19×
140.IC31875119.06×
141.IC31874118.21××
142.IC31870614.78×
143.IC31871211.69××Tolerant
144.IC31873410.52××
145.IC3187078.63××
146.ACC88.43××
147.IC3187626.82××
148.IC3187245.66××
149.IC3187354.91××
An external file that holds a picture, illustration, etc.
Object name is 13205_2021_2721_Fig3_HTML.jpg

Frequency distribution of disease severity of pomegranate germplasm screened for bacterial blight disease under greenhouse condition

Transcript analysis of defense response upon pathogen attack

The host defense response to pathogen attack was determined by qPCR analysis of PAL, CS3, chitinase, PR1, and PR10 genes in tolerant lines IC318735 and IC318724. A total of 5 defense responsive genes known to express in different pathways were evaluated at 0, 24, 72, and 216-h post-inoculation (hpi), and data were evaluated in comparison to the most susceptible variety Bhagwa. Upregulations of CS3, chitinase, and PR10 were found to be highly expressed between 24 to 72 hpi, whereas high expression of PAL and PR1 were recorded at 216 hpi. Upregulation of PR1 in IC318735 recorded high at 216 h with 59.71-fold followed by 42.5- and 5.1-fold at 24 and 72 hpi, respectively. However, in IC318724 maximum upregulation of the PR1 gene was observed at 24 hpi (23.5-fold) and 216 hpi (19.16-fold), respectively. In expression analysis of PAL gene, an interesting pattern was observed in both the lines, IC318735 recorded high at 24 hpi (13.83-fold), and gradually decreases at 72 and 216 hpi with 2.4- and 3.9-fold, whereas in IC318735, initial upregulation was observed at 24 hpi (2.2-fold), further elevated at 72 hpi (6.68-fold) and 216 hpi (6.32-fold), respectively. In contrast, Callose synthase was recorded high at 72 hpi in both the lines IC318735 (9.8-fold) and IC318724 (8.7-fold), followed by twofold at 216 hpi and 1.16-fold in IC318735 and no significant difference in other time points of IC318724. Chitinase gene in IC318735 recorded maximum upregulation at 24 hpi with 13.7-fold, followed by 2.15- and 2.46-fold at 72 and 216 hpi. A similar pattern was observed in IC318724, where expression of chitinase recorded high at 24 hpi with threefold followed by 1.8-fold at 72 hpi, respectively. The expression pattern of PR10 was recorded high first in IC318735 at 24 hpi with 4.26-fold followed by a gradual decrease at 72 and 216 h by 2.66 and 1.43-fold, respectively. However, in IC318724 upregulation of the PR10 gene was recorded only at 24 and 72 hpi with 1.5- and 2.5-fold change, respectively. The overall representation of the data is represented in Fig. 4.

An external file that holds a picture, illustration, etc.
Object name is 13205_2021_2721_Fig4_HTML.jpg

Relative expression of defense responsive gene in IC318735 and IC318724 determined by qRT-PCR during pathogen attack. Total RNA was reverse transcribed into cDNA and used as a template for qRT-PCR as described in “Materials and methods”. The bar indicates the standard error

Testing the inducer against BB

All the tested inducer recorded a considerable amount of disease protection compared to control. Maximum disease protection was observed in the prophylactic application of the inducer compared to the curative application (Table (Table4).4). Among different inducers tested Proline recorded maximum disease protection of 89.59% (600 ppm) followed by GABA (600 ppm), Chitosan (600 ppm), BABA (200 ppm), laminarin (600 ppm), eugenol (200 ppm), isonicotinic acid (80 ppm), paclobutrazol (200 ppm), salicylic acid (300 ppm), methyl jasmonate (300 ppm) and K2HPO4 with 88.59, 87.15, 86.08, 81.05, 78.72, 76.01, 66.99, 63.24, 52.64 and 46.88%, respectively. In curative treatment, maximum disease protection was observed in treatment with chitosan (76.57%), followed by GABA (76.14%), Proline (72.74%), and other inducers. The detailed disease severity and percent disease protection of all the inducers are listed in Table Table44.

Discussion

Pomegranate is an important fruit crop of tropical and subtropical parts of the world, significantly contributes to the global economy (Mastrogiannidou et al. 2016). However, modernization of agricultural practice, adoption of monoculture reduced the genetic variability among the crops leading to increased pests and diseases. Biotic stresses like bacterial blight (Xanthomoas axonopodis pv. punicae), fungal wilt (Ceratocystics sp.), leaf spot (Cercospora punicae), anthracnose (Colletotrichum gloeosporioides), aspergillus fruit rot (Aspergillus niger), and heart rot (Alternaria alternate), are the most common threats for pomegranate cultivation. Among these, bacterial blight is the most serious limiting factor for pomegranate cultivation leading to 60–80% yield loss.

Molecular and biochemical identification of a pathogen is very necessary for working an effective disease management strategy in any crop including breeding of resistance. BB pathogen is sensitive to salt, pH, and temperature. The optimum temperature required for the growth of the pathogen is between 26 and 32 °C. Xap produces a unique brown fuscan pigmentation, that appears 10-day post-inoculation, similar observations were confirmed by the national research center of pomegranate (Anonymous 2008). Molecular confirmation of the pathogen using an effector-based primer specific to Xanthomonas spp. provides accurate identification of the pathogen, since Xanthomonas axonopodis pv. punicae is the only Xanthomonas species infecting pomegranate. Effector-based avirulence (Avr) genes are the unique conserved sequences that are the most appropriate candidate genes for the identification of plant pathogens (Block et al. 2008).

Array of plant pathogens are fast evolving, they can breakdown the plant resistance/immunity resulting in increased disease epidemics in multiple hosts. For instance, Xanthomonas citri spp. citri is mainly known to cause citrus canker in citrus lemon and reported to infect several host species such as lime, grapefruit, sweet orange, and many more of the citrus family (Ference et al. 2018). Likewise, pathogen Xanthomonas campestris pv. campestris causing black rot disease of cabbage also reported infecting plants belonging to all the crucifer families (Bhat et al. 2010). To understand the host specificity of Xap, ten different plant species were selected. Cotton, lemon, cabbage, tomato, betel, banana, and chilli were selected based on being host to other Xanthomonas spp. Neem and pongamia plants were selected based on earlier reports of being a host of Xap (Yenjerappa 2009). In contrast to the study of Yenjerappa (2009), no plants other than pomegranate infected with Xap, indicating Xap is specific to pomegranate. In vice versa, three closely related Xanthomonas spp. Viz. Xanthomonas citri spp. citri, Xanthomonas campestris pv. campestris and Xanthomonas campestris pv. malvacearum were cross-inoculated on healthy pomegranate plants, to check the alternate pathogen that may cause bacterial blight infection in pomegranate. Here also no Xanthomonas spp. other than Xap, able to produce BB symptoms in pomegranate plants, indicating BB of pomegranate is only caused by Xap. Host range of a pathogen studies offers several advantages such as understanding the life cycle of a pathogen, developing disease diagnostics tools, and elucidating defense response against the pathogen. This knowledge serves as a valuable asset to the plant breeding approach (Hollings 1959; Bebber 2015) and designing strategies for plant disease management. In pomegranate, several commercial cultivated lines are developed that are attributed to high yield and nutritional value, but none of them are resistant to bacterial blight. Current management practice includes the use of a large volume of synthetic antibiotics that require huge economic investment and had repercussions to surrounding environmental toxicity with mere protection against the pathogen. Further, the use of excessive synthetic pesticides leads to the development of resistance in the pathogen that may worsen the situation of disease management. Hence, developing a new variety via a resistant breeding program is the most viable option. However, this requires large-scale screening of local and wild variety for identification of suitable tolerant or resistance lines. In pomegranate, Priya et al. (2016) screened different pomegranate genotypes for resistance using detached leaf assay and reported IC318734 as a putative resistant line of pomegranate. In our study, pomegranate lines were screened under the greenhouse condition through spray inoculation of the pathogen. All 149 screened lines exhibited susceptibility to the pathogen. However, IC318735 and IC318724 recorded the lowest disease severity of 4.91 and 5.66%, respectively (Table (Table3).3). Variation in disease severity level may be due to the accumulation of various secondary metabolites and stomatal opening or closing during pathogen attack. Priya et al. (2016) stated that fewer stomatal pores are the major contributing factors for disease tolerance in putative lines of resistant pomegranate.

In plants, resistance, or tolerance towards the pathogen depends on the gene for gene interaction between the pathogen avirulence (Avr) and host resistance (R) gene (Flor 1971; Block et al. 2008). The absence of these genes or delayed expression of these may lead to disease tolerance or susceptibility to pathogen invasion. Thus, tolerance to the disease depends upon the activation of various defense cascades of genes during pathogen attack, and this mechanism is called systemic acquired resistance (SAR) (Slusarenko et al. 2000; Van Loon et al. 2006). In understanding the defense responses in tolerant lines of pomegranate, we observed the higher expression levels of PR1, PR10, PAL, CS3, and chitinase upon pathogen attack.

PR proteins are an important part of plant defense response highly expressed during pathogen attack, accumulation of PR proteins can be observed locally around the infected part of the plant and, also in remote healthy tissues (Van Loon et al. 2006). Accumulation of PR proteins in the healthy parts of the plant will suppress the further spread of the pathogen. In pomegranate inoculation with Xap triggered the expression of PR1, PR10, and chitinase to the maximum between 24 and 72 h in IC318735 and IC318724 lines compared to Bhagwa, indicating active involvement of these genes in disease tolerance. Fang et al. (2019), reported the over-expression of the PR1 gene as part of disease resistance in mulberry. Alexander et al. (1993) reported the active role of PR1 against oomycete pathogens in transgenic tobacco, similarly, Choi et al. (2012) stated overexpression of PR10 increased resistance against Hyaloperonospora arabidopsidis and P. syringae pv. tomato in Arabidopsis. Jwa et al. (2001) also report that overexpression of PR1 and PR10 in rice increased defense response against Magnaporthe grisea. Likewise, several research reports stated that over-expression of PR genes conferring disease resistance towards bacterial, fungal, and in some viral pathogens (Cutt et al. 1989; Dolatabadi et al. 2014; Liu et al. 2019).

PAL is the first step in the phenylpropanoid pathway leading to the production of lignin and many secondary metabolites such as phytoalexins, flavonoids, and coumarins against various biotic and abiotic stress. PAL is the active intermediate gene in the synthesis of salicylic acid, catalyzing the conversion of phenylalanine to trans-cinnamic acid (Apel and Hirt 2004). In the present study, inoculation of Xap in tolerant lines of pomegranate recorded the upregulation of PAL between 72 and 216 h indicating the active response during pathogenesis. Chithrashree et al. (2011) recorded the higher activity of PAL in Bacillus subtilis treated rice seedlings after pathogen inoculation, Farahani and Taghavi (2017), reported accumulation of PAL might have an active role in conferring disease resistance against Xanthomonas axonopodis pv. phaseoli in tomato. Chitinase is the most important hydrolytic enzyme that inhibits the activity of the pathogen by cell wall degradation (Ebram et al. 2011). In tolerant lines of pomegranate upregulation of chitinase was observed maximum at 24 h, in both the lines, and subsequently, no significant upregulation was recorded.

Strengthening the plant cell wall is a prime defense response for restricting the entry of the pathogen into the host system. During the pathogen attack, the deposition of callose occurs between the plasma membrane and cell wall at the site of pathogen infection (Nishimura 2003). In the present study, higher expression of callose synthase gene in both the tolerant lines of pomegranate when compared to control and maximum upregulation of CS3 gene was observed at 72 h in both tolerant lines of pomegranate, which is the key time for the pathogen entry into the host system. In support of the present study, Kumar and Mondal (2013) reported the deposition of callose which acts as a structural barrier in pomegranate against Xap. From the above data, it is very clear that systemic acquired resistance of host immunity directly contributing to the pathogen resistance in tolerant lines pomegranate.

Apart from the pathogens, many elicitor molecules also have been identified that trigger the immune response against pathogens in higher plants. Foliar application or soil amendment of these molecules resulted in the production of phytoalexin biosynthesis, production of reactive oxygen species, strengthening plant cell wall, callose deposition, defense enzyme synthesis, and production of PR proteins, that induce systemic resistance against the pathogen (Van Loon et al. 2006; Wang et al. 2019; Algam et al. 2013). The application of different elicitor molecules shows significant disease protection against Xap in pomegranate. Foliar application of Proline, GABA and, chitosan at 600 ppm shows maximum disease protection of 89.59, 88.59, and 87.15%, respectively, when compared to control. Proline is an amino acid precursor to a protein known to play a significant role in plant–pathogen interaction. Hayat et al. (2012) state that proline acts as an antioxidative defense molecule, metal chelator, and signaling molecule during pathogenesis. Similarly, the application of chitosan induces ISR in higher plants, like generating reactive oxygen species, strengthening cell wall by lignification, biosynthesis phytoalexin, and jasmonic acid signaling leading to disease tolerance (EI Hadrami et al. 2010). Followed by Proline, application of chitosan, non-protein amino acids GABA (gamma-aminobutyric Acid) and BABA (β-aminobutyric acid) also recorded a significant reduction in disease severity when compared to control. Inducer property of GABA and BABA against various phytopathogens has been well documented in Arabidopsis, potato, grapefruit, and lime against various phytopathogens (Justyna and Ewa 2013; Wang et al. 2019). Satková et al. (2016) reported that application of BABA induces systemic resistance against powdery mildew of tomato Oidium neolycopersici in tomato by activation of ethylene-dependent signaling mechanism. In a similar study, Kashyapa et al. (2018), demonstrated that foliar application BABA can induce systemic resistance against Tilletia indica in wheat. Cohen (2002) reports that the application β-aminobutyric acid lowers the disease by upregulating the expression level of PR proteins, thus inducing systemic resistance in plants. Wang et al. (2019) stated that the biosynthesis of GABA plays a vital role in plant–pathogen interactions between Ralstonia solanacearum and tomato plants. Likewise, another tested inducer molecule laminarin, eugenol, isonicotinic acid, paclobutrazol, and salicylic acid found effective against BB by recording the lowest disease severity as several reports suggest the positive effect of these inducers in plant disease management (Xin et al. 2019; You et al. 2011; Eid 2013; Wang et al. 2019). Our results indicate the all the tested inducer can be effectively used for the management of BB in pomegranate under controlled conditions. However, these metabolites need to be further tested for their efficacy under field conditions and incorporate into a suitable formulation to make the effective use of these elicitors in integrated disease management practices in pomegranate.

Conclusion

The study indicates that Xanthomonas axonopodis pv. punicae is highly specific to pomegranate, and there are no alternate hosts to this pathogen. Resistance to the pathogen in tolerant lines of pomegranate (IC318724 and IC318735), resulted from the expression of high transcripts level of defence response genes. Further, foliar application of GABA, BABA, chitosan, laminarin, and eugenol resulted in significant protection against the pathogen. These molecules can be effectively employed in the IDM module for disease management also the development of novel biological/SAR formulation.

Supplementary Information

Acknowledgements

The authors are thankful to the professor and Horticultural commissioner Dr. BNS Murthy and Dr. Jyotsna Sharma, Director NRCP, Solapur, Maharashtra, for providing planting material. The author also thanks Dr. R.C. Jagadish, Professor, and Head of the Department of Crop improvement and Plant Biotechnology, UHS, Bagalkot, for providing research facilities during the investigation. Authors also Thank TEQIP, BEC Bagalkot, for providing research fellowship to the first author during Ph.D.

Author contribution

PK designed the experiment, conducted pathogen isolation, challenge inoculation, varietal collection and screening, molecular experiments, and wrote the manuscript. MSD did biochemical analysis and pathogen identification. PD analyzed data and help to rewrite the manuscript. BSM supervised and guided for the experiment. MG designed and supervised the whole experiment and guided for conducting studies and edited the manuscript.

Funding

This research did not receive any specific grant from funding agencies in the public, commercial, or not-for-profit sectors.

Declarations

Conflicts of interests

The authors declare no competing interests.

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