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ORIGINAL PAPER
Penicillium oxalicum directed systemic resistance in tomatoagainst Alternaria alternata
Aqeel Ahmad • Sobiya Shafique • Shazia Shafique •
Waheed Akram
Received: 3 December 2013 / Revised: 2 February 2014 / Accepted: 4 February 2014 / Published online: 19 February 2014
� Franciszek Gorski Institute of Plant Physiology, Polish Academy of Sciences, Krakow 2014
Abstract Enhanced yield of tomato has ever been an
important issue due to its nutritional value and various
dietary consumption forms. But, efficient yield increase can
never be achieved without using environmentally safe
means e.g. innate resistance. In present study, tomato innate
antifungal resistance has been boosted up using Penicillium
oxalicum, and then various aspects of resistance modulation
have been explored in details. Two tomato varieties of
differential antifungal resistance (Dinaar and Red Tara)
were treated with six P. oxalicum strains which screened the
best inducer strain (Pn 5); which remarkably controlled
disease incidence (DI) of Alternaria alternata. Inducer was
not only responsible for almost two times production of
phenolics, alkaloids and terpenoids in Red Tara, but it also
non-significantly triggered same biochemicals in Dinaar.
Hemicellulose showed only 40 % increase in variety of
least antifungal resistance. During quantification assays of
peroxidase (POD), phenyl ammonia lyase and polyphenol
oxidase, more or less the same doubling trend was recorded
in susceptible variety, while only POD had significant
enhancement in resistant variety under the influence of
fungal inducer. It was also recorded that inducer not only
modulated quantity of enzyme (glucanase), but its isozyme
package was also altered. Colorimetric quantifications of
lignin, cellulose and pectins proved that biotic inducer
strengthened the physical structure of plant cells by
increasing these contents from 30 to 120 %. The above
investigation collectively comes with the recommendation
of an efficient and environmentally safe inducer (P. oxali-
cum); which, can be used to control fungal pathogens.
Keywords Biological inducer � Enhancement of
defenses � Isozyme modulation � Colorimetric assay �Physical barriers
Introduction
Tomatoes occupy a significant position among dietary
elements of humans globally. Its consumption is both direct
and indirect through salad, curries, jams and ketchups etc.
due to its unique nutritional combination; it cannot be
replaced with any other food stuff because it provides
minerals and vitamins to human body (Hobson et al. 1979;
Baloch 1994). According to nutritional analysis there is
0.9 % protein, 94.1 % water, 0.1 % fat and 3.5 % carbo-
hydrates in tomato fruit.
Due to these features it is necessarily important to fulfill
tomato consumption requirement of world population. But,
unfortunately, this important agriculture crop has to face a
number of yield reducing factors including fungal diseases.
Fungi not only infect tomato crop in field but also in store
houses, and Alternaria alternata is an emblematic species
among fungal pathogens. A. alternata has a vast host
spectrum and growth conditions range as well (EL-Morsy
1999, 2000; Guo et al. 2004). Due to high yield losses of
Communicated by M. J. Reigosa.
A. Ahmad (&) � Sobiya Shafique � Shazia Shafique �W. Akram
Institute of Agricultural Sciences, University of the Punjab,
Lahore, Pakistan
e-mail: [email protected]
Sobiya Shafique
e-mail: [email protected]
Shazia Shafique
e-mail: [email protected]
W. Akram
e-mail: [email protected]
123
Acta Physiol Plant (2014) 36:1231–1240
DOI 10.1007/s11738-014-1500-5
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tomato each year caused by A. alternata (Akhtar et al.
1994), it is imperative to control its infection on tomatoes.
Control of fungal pathogens using plant internal resis-
tance has been considered as an effective and inexpensive
measure and always preferred over other disease-control-
ling strategies. Moreover, plant systemic resistance may
also be stimulated by exposing the plant surface to bio-
logical agents (Lawrence and Novak 2004; El-Khallal
2007; Kurabachew and Wydra 2010). By keeping in view
the biocontrol agents, role of Penicillium oxalicum can
never be overemphasized as it has been successfully used
for resistance induction in previous researches (De-Cal
et al. 1995). Sempere and Santamarina (2010) had also
described the antagonistic behavior of P. oxalicum against
A. alternata. Thus P. oxalicum was selected to evaluate its
resistance induction potential in tomatoes.
Methodology
Procurement of tomato germplasm and fungal isolates
Two representative tomato varieties (Dinaar and Red Tara)
were procured from ‘‘Fungal Biotechnology Lab, Institute
of Agricultural Sciences, University of the Punjab, Lahore,
Pakistan’’, which were the most resistant and the most
susceptible varieties against A. alternata.
The most virulent isolate of A. alternata and six strains
of biocontrol agent, P. oxalicum, were also procured from
the same biotechnology laboratory to evaluate their indi-
vidual resistance induction potential in tomato varieties
against fungal pathogen.
Experimental setup
Tomato seeds were grown in pots under greenhouse con-
ditions to minimize the dynamics of environmental factors.
At the age of 1 month, pots were divided into 13 sets of
each variety with three pots in one set. Then six sets of
each variety were treated with foliar pathogen inoculum
(3,000 spores/ml) and a single strain of biocontrol agent at
one time. Application of biocontrol agent was carried out
by adding 100 ml of P. oxalicum spore suspension (3,000
spores/ml) in pot soil, 10 days before the application of
pathogen. Six sets of pots were left as positive control
(biocontrol agent only), for which individual set was
treated with a single biocontrol strain only. Moreover, a
single pathogen control was arranged for comparison with
other treatments. After 15 days of incubation data were
collected with reference to disease incidence (Fig. 1;
Table 1) and statistically analyzed to evaluate the most
efficient biocontrol agent. Further downstream analyses
were made of all treatments of the most efficient biocontrol
strain (EBS) in comparison with pathogen control.
Comparison of physiological defenses
Representative samples of tomato plants from each set
were evaluated for their phenolics, alkaloids, terpenoids
and hemicellulose contents.
Method of Mujica et al. (2009) was adopted for the
estimation of phenolics, while, evaluation of alkaloid
contents in plant tissue was carried out by the method of
Arvind et al. (2007). So, plant material was extracted with
0.1 M aqueous HCl solution and then those acidic wash-
ings were freed from chlorophyll, tissue residues and
Fig. 1 Scale for visual
representation of disease
incidence on leaf tissue
Table 1 Scale for percentage DI with denoted resistance status
Percentage disease incidence (DI) Status
01–20 Highly resistant
21–40 Resistant
41–60 Moderately resistant
61–80 Susceptible
81–100 Highly susceptible
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lipophilic substances. Then its pH was raised to precipitate
alkaloids from mixture.
Ethyl acetate was used for 15 min at 40 �C to extract
terpenoids from plant material. Then extracts were filtered
to remove tissue debris and treated with 300 ml, 5 % each
of KOH and HCl solution to remove acidic and basic
substances, respectively. Remaining fraction was concen-
trated and vacuum evaporated to isolate solid terpenoids.
Comparison of physical defenses
Strength of plant cell wall and its toughness is increased
with the increased quantity of cellulose, lignin and pectin.
The visual estimation of all these cell-wall components was
made by examining the stained sections of plant tissue,
microscopically.
For cytostaining of cellulose, a stain was prepared by
dissolving 0.2 g iodine in 2 % aqueous KI solution and
applied on 0.05-mm-thick plant tissue sections for 15 min
before the application of H2SO4. Lignin was stained with a
specific stain of phloroglucinol (0.1 %), prepared in 20 %
aqueous HCl solution. Pre-weighed plant material was
boiled in 0.5 %, H2SO4 and percentage weight loss on
drying was denoted as hemicellulosic contents. Cytostain-
ing of pectin in tomato plant tissues was carried out
through toluidine blue O (0.05 %) method. Furthermore,
all above-described stains were separately applied to plant
tissue sections for microscopic observations.
Micrographs of stained plant sections were captured by
keeping the settings EV = 0 and ISO = 100, and reference
graphs for individual physical barrier on the basis of
spectral variations were plotted (Fig. 2). Moreover, cap-
tured micrographs were analyzed by ‘‘COLORS’’ to
determine inter and intra-spectral variations among them
after vertically slicing each image into nine. The quantities
of physical barriers were determined by comparing their
spectra with reference graphs (Ahmad et al. 2013).
Comparison of defense-related enzyme activity
Expression of pathogenesis-related protein genes is a key
factor for defining the plant resistance towards diseases
(Van Loon 1997). So, the activity of defense-related
enzymes was studied in tomato plants to get a clear view of
induced resistance in tomato varieties. For this purpose pre-
weighed plant material was crushed in cold sodium phos-
phate buffer (7.2 pH) and EDTA. Then mixture was freed
from tissue, and activities of phenyl ammonia lyase (PAL),
Polyphenoloxidase (PPO) and peroxidase (POD) were
determined through methods of Burrell and Rees (1974),
Mayer et al. (1965) and Putter (1970), respectively.
To study isozymes of glucanase enzyme, blue native
PAGE of plant proteins was performed and obtained gel
was incubated at 35 �C for 2 h with glucanase antiserum.
Results
Disease incidence on tomato varieties varied greatly with
change in inducer strains. Among six P. oxalicum strains,
‘‘Pn 5’’ provided maximum control of fungal disease with
maximum DI of 26.43 % at the time of combine applica-
tion of inducer and pathogen on susceptible variety
(Fig. 3). ‘‘Pn 3’’ gave 100 % control in case of both vari-
eties when applied in the absence of lab-prepared inocu-
lum. If treated plants are combined with inducer (Pn 3) and
pathogen inoculum, then remarkable DI of 74.38 and
80.78 % was recorded in Dinaar and Red Tara,
respectively.
Disease-control behavior of three inducer strains ‘‘Pn
1’’, ‘‘Pn 4’’ and ‘‘Pn 6’’ was more or less identical as they
were unable to protect plants from infection in any treat-
ment. However, application of ‘‘Pn 2’’ was successful only
in one treatment of Dinaar, where, zero DI was recorded
after application of inducer’s inoculum (Fig. 3). The
Fig. 2 Reference spectral graphs for colorimetric quantification of biochemicals (Ahmad et al. 2013)
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overall disease-controlling potential of ‘‘Pn 5’’ was found
to be the best among all strains used in this study. So, this
strain was selected for further downstream analysis.
Evaluation of biochemical defenses
Generally, higher quantities of all biochemicals were
quantified in ‘‘Pathogen ? Inducer’’ treatment of Dinaar
with non-significant differences from ‘‘Inducer’’ treatment
of same variety (Table 2). Hemicellulose was the only
biochemical which exhibited no quantity variation with
respect to treatments in Dinaar. Phenolics and alkaloids
were also recorded in non-significant lesser quantities in
negative control of Dinaar than the other two treatments.
Moreover, negative control of Dinaar had only terpenoids
in significantly lesser amounts in plant tissues than its
‘‘Pathogen ? Inducer’’ treatment (Table 2).
Quantities of all defensive phytochemicals (i.e. pheno-
lics, alkaloids, terpenoids and hemicellulose) dynamically
changed between all treatments of Red Tara. So, quantities
of phenolics, alkaloids and terpenoids were recorded at
about half in negative control of Red Tara than its other
two treatments; while, increase in hemicellulosic contents
of ‘‘Inducer’’ treatment of Red Tara was only 32 % greater
than its negative control. ‘‘Inducer’’ and ‘‘Patho-
gen ? Inducer’’ treatment of Red Tara had non-significant
differences in all biochemicals quantified with the general
trend of decreased quantity in later treatment. But, in case
of hemicellulose, non-significantly higher quantity was
calculated in ‘‘Pathogen ? Inducer’’ than ‘‘Inducer’’.
Analysis of defense-related enzymes
Results clearly revealed that ‘‘Pn 5’’ was involved in the
enhanced production of all the three defense-related
enzyme studied. Application of ‘‘Pn 5’’ significantly
increased the quantity of POD than its negative control in
Red Tara; whereas, its difference from ‘‘Patho-
gen ? Inducer’’ was non-significant. Significantly
increasing trend of PPO quantities was also found in Red
Fig. 3 Disease incidence of Alternaria tomato leaf spot on two
different tomato varieties (Dinaar and Red Tara) under different
treatment combinations. Two blank bars (without any filling pattern)
on the right side of the figure show normal disease index on tomato
varieties under favorable controlled conditions of pathogen
Table 2 Quantification of phytochemicals (g/kg) from tomato varieties
Biochemicals Dinaar Red Tara
Negative control Inducer Pathogen ? Inducer Negative control Inducer Pathogen ? Inducer
Phenolics 0.47 ± 0.04a 0.51 ± 0.06a 0.53 ± 0.06a 0.22 ± 0.04b 0.44 ± 0.03a 0.43 ± 0.03a
Alkaloids 0.49 ± 0.02a 0.49 ± 0.04a 0.50 ± 0.08a 0.26 ± 0.04b 0.49 ± 0.03a 0.44 ± 0.05a
Terpenoids 0.21 ± 0.02b 0.25 ± 0.04ab 0.27 ± 0.01a 0.10 ± 0.01b 0.20 ± 0.06a 0.19 ± 0.01a
Hemicellulose 0.34 ± 0.02a 0.34 ± 0.03a 0.34 ± 0.02a 0.25 ± 0.02b 0.33 ± 0.03a 0.35 ± 0.07a
Data were statistically analyzed through Duncan’s Multiple Range Test (DMRT) at p B 0.05 and significance of values has been mentioned by using alphabets (a, b)
1234 Acta Physiol Plant (2014) 36:1231–1240
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Tara from ‘‘negative control’’ to ‘‘Pathogen ? Inducer’’
(Table 3). Moreover, quantities of PAL and POD were
more or less same in negative control of Red Tara. But
when subjected to ‘‘Inducer’’, quantity of PAL was
increased up to 29.34 g/kg in comparison with 23.8 g/kg of
POD. It revealed that the production of PAL is more ‘‘Pn
5’’ dependent than POD. It was also noted that the quantity
of PAL was significantly decreased when Red Tara was
subjected to ‘‘Pathogen ? Inducer’’ (Table 3).
Quantities of defense-related enzymes in Dinaar gener-
ally had non-significant differences among different treat-
ments. In this variety POD was the only enzyme which
varied significantly under the influence of different treat-
ments (Table 3). Two enzymes PAL and PPO increased
after the application of ‘‘Inducer’’ and ‘‘Patho-
gen ? Inducer’’ in a non-significant way (Table 3).
Three isozymes of glucanase were recorded in Dinaar in
comparison with two isozymes of Red Tara. Quantity of Glu 02
increased when Dinaar was treated with ‘‘Inducer’’, and its
production again reduced when ‘‘Pn 5’’ treatment was
accompanied with pathogenic inoculum (Fig. 4). Joint effect
of A. alternata and P. oxalicum under ‘‘Pathogen ? Inducer’’
enhanced the quantity of Glu 03, which was not affected by
‘‘Inducer’’ (Fig. 4). Glu 01 was neither modulated by
‘‘Inducer’’ nor by ‘‘Pathogen ? Inducer’’; hence, expressed in
similar amounts in all treatments of Dinaar (Fig. 3). Under
normal conditions Glu 02 was absent in Red Tara plants and it
was induced under the influence of ‘‘Inducer’’. Whereas,
behavior of Glu 01 production in Red Tara is completely
opposite with Glu 02, as Glu 01 was only detected in negative
control but not in other two treatments. Glu 03 was found to be
continuously produced in Red Tara with the identical behavior
as in Dinaar.
Evaluation of physical defenses
Careful microscopic observations were visible manifesta-
tions which also argued upon the strength of physical
barriers of plants after treating them with ‘‘Inducer’’ and
‘‘Pathogen ? Inducer’’. As specific stains for physical
barriers were used in this study, intensity of color obtained
was a symbol of defensive strength of plant against
pathogens (Fig. 5). Plant tissues with no treatment (nega-
tive control) exhibited lesser antifungal strength, showed
lighter color in figures as compared to their respective
treated plants which were darker in color (Fig. 5).
Spectral analysis of ‘‘Fig. 5’’ to quantify biochemicals in
plant cell wall revealed that cell walls of Dinaar were
Table 3 Quantification of defense-related enzymes (g/kg) in tomato varieties
Dinaar Red Tara
Negative control Inducer Pathogen ? Inducer Negative control Inducer Pathogen ? Inducer
PAL 29.54 ± 1.2a 30.15 ± 1.57a 30.88 ± 1.11a 13.24 ± 0.42c 29.34 ± 0.9a 27.32 ± 0.12b
PPO 6.8 ± 0.41a 6.8 ± 0.3a 6.92 ± 0.07a 3.9 ± 0.14c 6.4 ± 0.16b 6.79 ± 0.06a
POD 23.79 ± 1.7b 25.67 ± 0.98ab 26.13 ± 0.11a 13.46 ± 1.82b 23.8 ± 0.7a 23.47 ± 0.34a
Data were statistically analyzed through DMRT at p B 0.05 and significance was mentioned by using alphabets (a, b, c)
Fig. 4 Glucanases in different
treatments of representative
tomato varieties
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maximum lignified (0.2925 g/kg) when exposed to ‘‘Path-
ogen ? Inducer’’ (Fig. 6a). Similarly, second most ligni-
fied walls were also of Dinaar variety (0.276 g/kg) when it
was treated with ‘‘Inducer’’ (Fig. 6a). Whereas, least lig-
nification of walls was recorded in Red Tara negative
control (0.1465 g/kg).
More or less similar trend of biochemical quantities was
prevailed in terms of cellulose and pectins (Fig. 6b, c). The
highest quantities of both of these defense elements
(0.41 g/kg = cellulose and 14.5 g/kg = pectins) were
recorded in Dinaar treated with ‘‘Pathogen ? Inducer’’.
However, slight trend variations were present at some
places but the least quantities of these biochemicals were
again found in Red Tara negative control (0.155 g/kg =
cellulose and 4.9 g/kg = pectins).
Discussion
Exposing plants to external stimuli induces resistance in
plants, which remarkably reduces disease incidence. Some
fungal species may also be good external stimuli in this
direction, and a lot of studies have also been reported in
this field (Harman et al. 2004; Ghosh et al. 2006; Djonovic
et al. 2007; Kempel et al. 2010). P. oxalicum induced
resistance in tomato against fungal pathogen which is a
redolent of the study of Ghosh et al. (2006) who also used
fungus to induce resistance in ginger for disease control.
This study is based upon the induction of horizontal
resistance in tomato plants and gives a control of a number
of pests on tomato crop.
Resistance induction potential of fungal bio-agents is
also modulated by the agent, which is applied jointly with
the inducer’s inoculum. This may increase or decrease the
disease severity in plants by affecting the inducer’s capa-
bilities (Abdel-Kader et al. 2012). This might be the reason
that DI of A. alternata varied between two inducer treat-
ments (Inducer and Pathogen ? Inducer). It can also be
simplified that inducer produced synergistic effects in the
presence of pathogenic inoculum. Moreover, efficiency of
resistance inducer is greatly dependent upon host genome
(Reglinski et al. 2007; Walters and Fountaine 2009).
Therefore, same level of resistance could not be achieved
using identical stimuli on two different tomato varieties. In
current investigation, Dinaar exhibited no DI in case of
three P. oxalicum strains. But same strains were unable to
give 100 % control of disease in Red Tara.
b Fig. 5 Deposition of different biochemicals, which play role in the
strengthening of physical barriers of plant cell wall against pathogen
invasions
Fig. 6 Colorimetric quantification of lignin (a), cellulose (b) and pectins (c) in two tomato varieties
Acta Physiol Plant (2014) 36:1231–1240 1237
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Shoresh et al. (2010) explained that fungal inducers are
responsible for better growth and efficient nutrient uptake
of plants. They also govern photosynthesis and respiration
processes making them more synchronized. They not only
control pathogens but also enhance plant tolerance against
abiotic stresses by reprogramming plant gene expression
profile (Harman et al. 2004). By keeping in mind all these
studies, P. oxalicum treatment can be suggested to mini-
mize abiotic stresses on crop plants. These non-pathogenic
fungi can also be applied as a preventive measure prior to
pathogen infestations.
Basic mechanism behind induced resistance is the
enhanced production of defensive biochemicals to hinder
pathogen invasion. Phenolics are the secondary metabolites
of plants and are categorized into plant defense weapons
(Witzell and Martin 2008; Banerjee et al. 2012). Witzell
and Martin (2008) concluded in a study that oxidative
metabolism was responsible for high level of antifungal
resistance in plants. Meanwhile, Johansson et al. (2004)
reported increased quantities of phenolics behind enhanced
resistance of pine which was induced by white rot fungi.
Presently, a more quantitative enhancement of polyphenols
has been observed by invasion of a non-pathogenic fungus.
This phenomenon indicates significant resemblance
between infection processes of pathogenic and non-patho-
genic fungal species.
Alkaloids act as strong defense weapons of plants which
might be triggered by external stimuli (Mohammadi and
Kazemi 2002; Cherif et al. 2007; Vera et al. 2011a; Ashry
and Mohamed 2011). They have antimicrobial properties
and their increased biosynthesis ensures plant resistance
against pathogen. That was the reason behind resistance
modulation in tomato varieties through fungal inducer.
Terpenoids are plant defense icons and investigations
have confirmed their significance in plant survival tactics
(Martin et al. 2003; Miller et al. 2005). Increased biosyn-
thesis of terpenoids attracts predators of plant insect pests
and limits a variety of plant pathogens including viruses
(Mumm et al. 2008). Hence, triggering of terpenoids in
tomato plants treated with fungal inducer is a sign of
increased tomato resistance against vast categories of
pathogenic entities. Similar, defense phenomenon was
proved in terms of hemicellulose, which provided another
proof about the reliability of fungal-mediated resistance in
tomato because hemicellulose is also a defense icon in
plant cytological structures (Freeman and Beattie 2008).
Lignin is classified under plant physical defense barriers
and its biosynthesis normally involved the role of peroxi-
dase. Its presence in physical barriers provides rigidity to
cell wall and resistance to plant against pathogens as well
as abiotic stresses (Cosgrove 1997; Quiroga et al. 2000).
Therefore, increase in lignin recorded in this study pre-
cisely defines the efficiency of P. oxalicum as an inducer.
Freeman and Beattie (2008) classified cellulose in
structural defenses of plants. Meanwhile, there are some
investigators who explain role of cellulose as binding
domains of many proteins which directly or indirectly
inhibit pathogen attacks (Linder et al. 1995; Villalba-
Mateos et al. 1997). This finding of increased cellulose
contents in tomato plants is consistent with previous
studies as plants with high resistance also showed cellulose
augmentations in tissues. This might be happening to create
more space for integration of defense-related proteins
along walls of physical structures.
Pectin is a plant component which plays an important
role in the signaling pathways (Vorwerk et al. 2004).
Generally, it is assumed that plants with induced resistance
possess decreased amounts of pectins in their tissue
because of the activation of pectin degrading enzymes
(Ferrari et al. 2008). But pectin quantification in this study
did not agree with previous studies because pectin contents
were also recorded to be enhanced in plants with induced
resistance. This unusual increase in pectins may have
created complications in finding smooth trends of DI with
respect to given treatments. But in any case, it can easily be
concluded that there must be some metabolic changes and
signaling pathway alterations, triggered under the presence
of P. oxalicum, which finally resulted into altered quanti-
tation of biochemicals.
It is a frequently confirmed phenomenon that plants with
augmented resistance produce pathogenesis-related proteins
and enzymes when they are required; and this biosynthesis
raises protein level higher than usual (Castro and Fontes
2005). A research in same direction conducted by Veronese
et al. (2003) proved that higher glucanases confer microbial
resistance in plants which is in accordance with the findings
of current research. Resistant variety not only showed
increased number of glucanase isozymes, but the quantity of
each isozyme was also increased. Similarly, the quantity was
more enhanced after treating plants with biotic inducer.
Johansson et al. (2004) put responsibility of stopping
pathogen attacks in plants on peroxidase activity. It also
converts pectins into a form highly resistant against pec-
tinases; hence, making plant defenses more stable (Witt-
stock and Gershenzon 2002). Therefore, plant tissues with
enhanced resistance against pathogens should possess
enhanced quantities of peroxidases and this conclusion
falls in favor of present study.
Vera et al. (2011a) reported that during induction of
resistance, amounts of numerous antifungal proteins and
defense-related enzymes are significantly increased in
which phenyl ammonia lyase is a dominant enzyme.
Increased PAL is interlinked with accumulation of phe-
nylpropanoid compounds (Vera et al. 2011a), which may
explain increased quantities of phenolics and enhanced
resistance (Vera et al. 2011b).
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One important phenomenon about PPO discovered in
this study is that its biosynthesis was not increased after the
inoculation of inducer. But, increase in its quantity was
recorded after inoculation of ‘‘Pathogen ? Inducer’’.
Those results were in agreement of Mohammadi and
Kazemi (2002). In a study conducted by Ashry and Mo-
hamed (2011), it was reported that a plant which is cate-
gorized as resistant against pathogen also exhibits higher
amounts of PPO in its tissues. These findings also support
current investigation.
Author contribution Aqeel Ahmad conceived the idea,
Aqeel Ahmad and Shazia Shafique realized experiments.
Aqeel Ahmad and Waheed Akram performed the research
work and recorded data. Sobiya Shafique technically
assisted the experimental work and data analysis. Aqeel
Ahmad and Shazia Shafique compiled and composed the
whole study.
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