Mohammad Danish1, Mohammad Altaf2,3, Merajul Islam Robab4, Mohammad Shahid5, Salim Manoharadas3, Shaik Althaf Hussain3, Hisamuddin Shaikh1. 1. Section of Plant Pathology and Nematology, Department of Botany, Aligarh Muslim University, Aligarh 202002, Uttar Pradesh, India. 2. Department of Chemistry, College of Science, King Saud University, Riyadh 11451, Saudi Arabia. 3. Central Laboratory, College of Science, King Saud University, Riyadh 11451, Saudi Arabia. 4. Department of Botany, School of Sciences, Maulana Azad National Urdu University, Hyderabad 500032, India. 5. Department of Agricultural Microbiology, Faculty of Agricultural Sciences, Aligarh Muslim University, Aligarh 202002, Uttar Pradesh, India.
Abstract
Meloidogyne incognita is an important plant-parasitic nematode that causes significant crop losses all over the world. The primary control strategy for this pathogen is still based on nematicides, which are hazardous to human health and the environment. Considering these problems, this study aimed to determine the efficacy of different concentrations (25, 50, and 100 ppm) of silver nanoparticles against M. incognita on Trachyspermum ammi. Silver nanoparticles synthesized from Senna siamea were thoroughly characterized using various physicochemical techniques, viz., UV-visible spectrophotometer, scanning electron microscopy (SEM), transmission electron microscopy (TEM), and energy-dispersive X-ray analyzer (EDX). Results revealed that plants treated with 50 ppm silver nanoparticles one week before M. incognita inoculation (T2) exhibited maximum and significant (p ≤ 0.05) increases in plant growth, biochemical characteristics, and activities of defense enzymes such as peroxidase, catalase, superoxide dismutase, and ascorbate peroxidase over the inoculated control (IC) plants. Furthermore, the maximum reduction in the number of galls, egg masses, and root-knot indices was recorded in plants treated with 100 ppm silver nanoparticles (T3) followed by plants treated with 50 ppm silver nanoparticles before nematode inoculation (T2), over inoculated plants (IC). Anatomical studies showed accumulation of lignin in the transverse section (TS) of roots treated with 50 ppm silver nanoparticles. As a result, the present finding strongly suggests that silver nanoparticles synthesized from S. siamea had nematicidal activity, and it could be an efficient, safe, cost-effective, and affordable alternative to chemical nematicide.
Meloidogyne incognita is an important plant-parasitic nematode that causes significant crop losses all over the world. The primary control strategy for this pathogen is still based on nematicides, which are hazardous to human health and the environment. Considering these problems, this study aimed to determine the efficacy of different concentrations (25, 50, and 100 ppm) of silver nanoparticles against M. incognita on Trachyspermum ammi. Silver nanoparticles synthesized from Senna siamea were thoroughly characterized using various physicochemical techniques, viz., UV-visible spectrophotometer, scanning electron microscopy (SEM), transmission electron microscopy (TEM), and energy-dispersive X-ray analyzer (EDX). Results revealed that plants treated with 50 ppm silver nanoparticles one week before M. incognita inoculation (T2) exhibited maximum and significant (p ≤ 0.05) increases in plant growth, biochemical characteristics, and activities of defense enzymes such as peroxidase, catalase, superoxide dismutase, and ascorbate peroxidase over the inoculated control (IC) plants. Furthermore, the maximum reduction in the number of galls, egg masses, and root-knot indices was recorded in plants treated with 100 ppm silver nanoparticles (T3) followed by plants treated with 50 ppm silver nanoparticles before nematode inoculation (T2), over inoculated plants (IC). Anatomical studies showed accumulation of lignin in the transverse section (TS) of roots treated with 50 ppm silver nanoparticles. As a result, the present finding strongly suggests that silver nanoparticles synthesized from S. siamea had nematicidal activity, and it could be an efficient, safe, cost-effective, and affordable alternative to chemical nematicide.
Herbs have always been
used to promote healing in all cultures.
Plants continue to be the foundation for the growth of modern medicines,
and medicinal plants have been used in everyday life for years to
treat illnesses all over the world.[1] Natural
medicine derived from plant parts or extracts has sparked renewed
interest in recent years. In this regard, Trachyspermum
ammi (L.) is an annual herbaceous plant commonly known
as ajwain having a place with the exceptionally esteemed restoratively
significant family, Apiaceae.[2] It is extensively
distributed and cultivated in different countries such as Afghanistan,
Iran, and India as well as Europe, while it originated in Egypt.[3] Grayish-brown seeds of T. ammi are usually utilized for medicinal and alimentary purposes, and
they work as a powerful therapeutic agent in treating hemorrhoids,
abdominal tumors, and abdominal pain.[4] Essential
oil produced from T. ammi seeds contains
about 50% thymol, which is a highly esteemed fungicide and strongly
antiseptic.[5] Thymol is used in the preparation
of toothpaste and perfumery.[6] The crop
yield is influenced negatively due to the development of diseases
caused by several pathogens such as Alternaria blight (Alternaria alternata), collar rot (Sclerotium rolfsii), powdery mildew (Eryiphe polygoni),[7] and
root-knot disease caused by Meloidogyne incognita.[8]Meloidogyne spp., are obligate sedentary
endoparasites and infect more than 3000 plant species throughout the
world.[9] Because they infect the root system,
which absorbs water and minerals, the entire plant gets damaged. Their
population is rapidly increased due to the completion of two or more
life cycles in a single growing season, combined with high female
fecundity. Hence, crop yield decline leads to huge monetary misfortunes
of a few huge numbers of dollars around the world.[10]Chemical nematicides have been restricted to be used
for controlling
this pathogen due to harmful effects on the environment and health
hazards.[11,12] Such biologically disturbing forces pave
the way for unacceptably poor well-being, stability, and a slew of
environmental problems.[13] The potential
risk to nontarget organisms has led researchers to search for novel
and eco-friendly or less toxic methods for nematode management. To
mitigate this issue, eco-friendly methods and sustainable crop protection
technologies need to be employed in the current agriculture system,
which can be easily used for protecting crop damage caused by nematodes
to maintain growth and yield of the plant.In recent years,
nanotechnological science has been visualized
to have the potential to transform agriculture systems.[14] Disease management and agriculture are the most
significant areas of nanotechnology.[15,16] Nanoparticles
with a small size and large surface area of 1–100 nm have potential
application in agriculture systems. Several studies have observed
that the nonmaterial is an alternative to chemical pesticide, making
it an excellent option for new pesticide development. Silver nanoparticles
are known for their broad spectrum of antimicrobial activities and
plant disease management.[17,18] Silver nanoparticles
synthesized from plants are less toxic in comparison to silver ions,
while their antimicrobial properties increase markedly.[19,20] Due to the different modes of inhibitory properties against phytopathogens,
they can be used for the control of various plant diseases sustainably
as compared to chemical fungicides.[21] Examinations
on the appropriateness of nanosilver for controlling plant diseases
have been very few, to date.[22]Although
chemical and physical techniques are available for the
synthesis of silver nanoparticles, all of these are associated with
hazardous chemicals and require high amounts of energy.[23] Plant-mediated synthesis of silver nanoparticles
is gaining popularity due to its low toxicity, cost efficiency, environmental
friendliness, and less time requirement. Plants with antimicrobial
properties, in particular, have a high potential for green synthesis
of silver nanoparticles due to their complex phytochemical composition.[24] Further, plants are an easily available and
rich source of secondary metabolites such as protein, polyphenols,
flavonoids, and alkaloids, which act as a reducing agent and can cap
the desired synthesized nanoparticles. In this context, Senna siamea has the vast potential of antimicrobial
activity due to the presence of secondary metabolites such as phenolics,
alkaloids, saponins, tannins, glycosides, and flavonoids.[25] For this reason, this study aimed to investigate
the nemato-toxic properties of biosynthesized silver nanoparticles
against M. incognita, which cause root-knot
disease in T. ammi. The plant growth,
yield, and biochemical characteristics were measured in response to
silver nanoparticles under the stress of M. incognita.
Results
Characterization of Silver Nanoparticles Synthesized From Senna seamia Leaf Extract
The primary characterization
of silver nanoparticles was performed using UV–visible spectroscopy.
The morphology and size of bio-blended silver nanoparticles were selected
based on an examination performed by electron microscopy (SEM), energy-dispersive
X-beam spectroscopy (EDX), and transmission electron microscopy (TEM).
The chemical characterization was performed using Fourier transform
infrared (FTIR) spectroscopy.
UV–Vis Spectroscopic
Analysis
UV–visible
spectroscopy was deployed for preliminary characterization of silver
nanoparticles. The initial color of the reaction mixture was light
yellow, which turned to dark brown, indicating the formation of silver
nanoparticles. The reaction mixture initially showed a weak absorbance
in the UV–vis region. When the color started to change, the
absorption band at 430 nm was recorded, as shown in Figure A.
Figure 1
Characterization of silver
nanoparticles synthesized from Senna seamia leaf extract. UV–vis spectra
of silver nanoparticles (AgNPs) (A). FTIR spectrum of silver nanoparticles
(B). Transmission electron micrographs of silver nanoparticles (AgNPs)
(C). Scanning electron micrographs of silver nanoparticles (AgNPs)
(D). EDX spectrum of silver nanoparticles (AgNPs) (E). Histogram of
wt % of major elements in silver nanoparticles (AgNPs) (F).
Characterization of silver
nanoparticles synthesized from Senna seamia leaf extract. UV–vis spectra
of silver nanoparticles (AgNPs) (A). FTIR spectrum of silver nanoparticles
(B). Transmission electron micrographs of silver nanoparticles (AgNPs)
(C). Scanning electron micrographs of silver nanoparticles (AgNPs)
(D). EDX spectrum of silver nanoparticles (AgNPs) (E). Histogram of
wt % of major elements in silver nanoparticles (AgNPs) (F).
FTIR Spectroscopic Analysis
FTIR
analysis was performed
to decipher the role of phytoconstituents of the plant extract, responsible
for the capping and stabilization of silver nanoparticles (Figure B). The FTIR spectrum
of silver nanoparticles showed a number of bands, especially from
500 to 3500 cm–1, indicating the presence of various
functional groups on the silver nanoparticles.
Transmission Electron Microscopy
(TEM) and Scanning Electron
Microscopy (SEM) Analyses
Transmission electron microscopy
was performed to provide further understanding of the size, shape,
and morphology of the blended silver nanoparticles (Figure C). The TEM images show that
the shape of the incorporated silver nanoparticles was round and polydisperse
with widths in the range of 05–60 nm. Scanning electron microscopy
(SEM) investigation was performed to assess the surface morphology
of synthesized silver nanoparticles. The SEM image of silver nanoparticles
is shown in Figure D. As is evident from the figure, the biosynthesized nanoparticles
varied in shape and size, indicating the nonuniform size distribution.
The energy-dispersive X-ray (EDX) spectrum of silver nanoparticles
deciphered the presence of silver, oxygen, carbon, and chlorine as
the most abundant elements, as presented in Figure E. The weight percentages of silver, oxygen,
and carbon were found to be 58.69, 24.14, and 16.19%, respectively
(Figure F).
Green
Synthesized Silver Nanoparticles Suppressed Phytonematodes
and Improved Growth Features
Growth and Yield Parameters
The
length of the root
and shoot of IC plants decreased significantly when compared with
uninoculated plants (control). There was a significant increase in
the length of the plants T1, T4, T5, T6, T7, T8, and T9 in
comparison to plants inoculated with M. incognita. Moreover, reduction in the T2 plants was nonsignificant
when compared with uninoculated untreated plants. There was a nonsignificant
increase in the length of T3 plants, which was treated
with 100 ppm silver nanoparticles, 1 week prior to nematode inoculation,
when compared with IC plants. The length of T3 plants,
which were treated with 100 ppm silver nanoparticles, was higher than
that of nematode-inoculated plants (IC) (Table ).
Table 1
Effect of Different
Concentrations
(25, 50, and 100 ppm) of Green Synthesized Silver Nanoparticles (AgNPs)
on Plant Height, Fresh Weight, and Dry Biomass of T.
ammi Plants Inoculated with M. incognita under the Greenhouse Conditiona
treatment
shoot length
(cm)
root length
(cm)
shoot fresh
weight (g)
root fresh
weight (g)
shoot dry
weight (g)
root dry
weight (g)
control (C)
68.17 ± 0.60a
12.76 ± 0.14a
52.50 ± 0.28a
7.00 ± 0.11a
12.8 ± 0.11a
0.95 ± 0.01a
inoculated control
(IC)
46.40 ± 0.49i
6.00 ± 0.17g
32.64 ± 0.47i
4.00 ± 0.15g
7.65 ± 0.08e
0.55 ± 0.01g
silver nanoparticles
1 week prior to M. incognita
25 ppm (T1)
53.50 ± 0.47d
7.43 ± 0.23d
38.58 ± 0.34d
4.85 ± 0.16d
8.81 ± 0.16c
0.72 ± 0.00d
50 ppm (T2)
67.26 ± 0.72a
12.60 ± 0.20ab
51.87 ± 0.74ab
6.93 ± 0.23a
12.62 ± 0.16a
0.94 ± 0.01a
100 ppm (T3)
47.30 ± 0.47hi
6.28 ± 0.23fg
33.86 ± 0.63h
4.01 ± 0.09g
7.83 ± 0.22e
0.56 ± 0.00g
simultaneous
inoculation of M. incognita and silver
nanoparticles
25 ppm (T4)
51.50 ± 0.63e
6.90 ± 0.14ef
37.00 ± 0.50e
4.72 ± 0.19de
8.61 ± 0.14c
0.70 ± 0.01de
50 ppm (T5)
66.20 ± 0.41ab
12.06 ± 0.23b
51.17 ± 0.25b
6.39 ± 0.18b
12.51 ± 0.07a
0.88 ± 0.01b
100 ppm (T6)
49.20 ± 0.58fg
6.40 ± 0.11efg
35.18 ± 0.10fg
4.24 ± 0.16efg
8.06 ± 0.13de
0.66 ± 0.01e
M. incognita 1 week prior to silver nanoparticles
25 ppm (T7)
50.50 ± 0.57ef
6.73 ± 0.20de
35.46 ± 0.20f
4.60 ± 0.12def
8.51 ± 0.18cd
0.69 ± 0.00de
50 ppm (T8)
65.10 ± 0.49c
11.50 ± 0.11c
49.07 ± 0.22c
5.81 ± 0.18c
11.98 ± 0.22b
0.82 ± 0.02c
100 ppm (T9)
48.50 ± 0.28gh
6.43 ± 0.13efg
34.02 ± 0.14gh
4.16± 0.11fg
7.86 ± 0.13e
0.62 ± 0.01f
least-square mean
55.78
8.64
41.03
5.15
9.75
0.73
LSD@≤0.5
1.57
0.53
1.19
0.47
0.46
0.04
F-value
275.1
248.9
404.5
51.03
195.1
100.20
Each value is a mean (mean ±
SE) of five replicates (n = 5). Different alphabets
denote significant difference from each other and with respective
treatments (at p ≤ 0.05) according to Duncan’s
multiple range test (DMRT).
Each value is a mean (mean ±
SE) of five replicates (n = 5). Different alphabets
denote significant difference from each other and with respective
treatments (at p ≤ 0.05) according to Duncan’s
multiple range test (DMRT).
Plant Fresh Weight and Dry Biomass
A nonsignificant
reduction was observed in both shoot and root fresh weight of T2 plants when compared with control plants. The maximum and
highest reduction was noticed in IC plants, which were treated with
nematodes only. The value of T3 plants was higher but was
nonsignificantly different in comparison to IC plants. Significant
increases in the values of T1, T4, T5, T6, T7, T8, and T9 plants
were observed when compared with the IC plants (Table ).The most noteworthy and huge decline
in the dry weight of shoot and root was seen in IC plants that were
treated with nematode only, compared with the uninoculated plants.
There was a significant increase in the values of T1, T4, T5, T6, T7, T8, and T9 plants when compared with the values of IC plants.
Maximum and significant increases in the values of shoot and root
dry weight were observed in T2 plants compared with the
IC plants. The value of T2 plants was nonsignificant when
compared with the value of control plants (Table ).
Numbers of Branches and Numbers of Umbels
per Plant
Maximum and significant reductions in the number
of branches and
number of umbels per plant were encountered in IC plants inoculated
with only nematodes, in comparison with the control plants. The values
of T2 plants treated with 50 ppm silver nanoparticles 1
week prior to nematode inoculation decreased nonsignificantly over
the control plants. Further significant increases in T1, T4, T5, T6, T7, T8, and T9 plants were also observed when compared
with IC plants. Nonsignificant increase was observed when the values
of T3 and IC plants were compared (Table ).
Table 2
Effect of Different
Concentrations
(25, 50, and 100 ppm) of Green Synthesized Silver Nanoparticles (AgNPs)
on the Number of Branches, Number of Umbel, Seed Yield, and Seed Oil
Content of T. ammi Plants Inoculated
with M. incognita under the Greenhouse
Conditiona
treatment
number of
branches per plant
number of
umbels per plant
seed yield
per plant (g)
seed oil
content (%)
control (C)
15.6 ± 0.24a
75.6 ± 0.92a
6.46 ± 0.11a
2.73 ± 0.015a
inoculated
control (IC)
8.8 ± 0.37g
39.4 ± 0.50j
3.65 ± 0.12h
1.60 ± 0.012i
AgNP 1 week
prior to M. incognita
25 ppm (T1)
11.00 ± 0.37c
61.6 ± 0.67d
5.25 ± 0.11d
2.24 ± 0.01d
50 ppm (T2)
15.4 ± 0.24a
74.0 ± 0.70a
6.20 ± 0.15ab
2.71 ± 0.015a
100 ppm (T3)
9.4 ± 0.24fg
43.0 ± 0.83i
3.85 ± 0.14gh
1.62 ± 0.014hi
simultaneous
inoculation of M. incognita and AgNP
25 ppm (T4)
10.6 ± 0.24cd
58.2 ± 0.86e
5.15 ± 0.11d
2.02 ± 0.014e
50 ppm (T5)
14.4 ± 0.24b
70.0 ± 0.54b
6.02 ± 0.13bc
2.65 ± 0.012b
100 ppm (T6)
9.8 ± 0.20def
49.2 ± 0.37g
4.26 ± 0.12f
1.72 ± 0.015g
M. incognita 1 week prior to AgNP
25 ppm (T7)
10.4 ± 0.24cde
53.6 ± 0.60f
4.72 ± 0.12e
1.87 ± 0.012f
50 ppm (T8)
13.8 ± 0.37b
67.2 ± 0.58c
5.68 ± 0.11c
2.57 ± 0.014c
100 ppm (T9)
9.6 ± 0.24efg
46.0 ± 0.54h
4.16 ± 0.11fg
1.65 ± 0.014h
least-square
mean
11.70
57.98
5.03
2.12
LSD@≤0.5
0.80
1.91
0.37
0.04
F- value
82.54
359.1
60.29
1099
Each value is a
mean (mean ±
SE) of five replicates (n = 5). Different alphabets
denote significant difference from each other and with respective
treatments (at p ≤ 0.05) according to DMRT.
Each value is a
mean (mean ±
SE) of five replicates (n = 5). Different alphabets
denote significant difference from each other and with respective
treatments (at p ≤ 0.05) according to DMRT.
Seed Oil Content
There was an enhancement in the seed
oil content in T2 plants when compared with IC plants.
The values of seed oil content in T2 plants were at par
with the values of uninoculated and untreated plants (control). The
highest and significant reduction was observed in IC plants compared
with the control plants. Significant increases in T1, T4, T5, T6, T7, T8, and T9 plants were observed when compared with IC plants.
Maximum and significant increases were noticed in T2 plants,
in comparison with IC plants. The values of seed oil content in the
IC and T3 plants were at par, although higher than in T3 plants (Table ).
Effect of Green Synthesized Silver Nanoparticles on Photosynthetic
Pigments and Biochemical Characteristics of T. ammi Infected with M. incognita
Photosynthetic
Pigments
Chlorophyll a
The chlorophyll content
of IC plants decreased significantly when compared with the control
plant. Compared with IC plants, the amount of chlorophyll a was found significantly increased in T2 plants
and was at par with the control plants. There was a significant increase
in the amount of chlorophyll a in the T1, T4, T5, T6, T7, T8, and T9 plants in comparison with IC plants. Nonsignificant
and lowest increase in the chlorophyll a content of T3 plants
was observed when compared with IC plants (Figure A).
Figure 2
Effect of different concentrations (25, 50,
and 100 ppm) of S. siamea-synthesized
silver nanoparticles (AgNPs)
on chl a (A), chl b (B), and carotenoid
content (C) of T. ammi plants inoculated
with M. incognita. In these figures,
bar diagrams represent the mean values (mean ± SE) of five replicates
(n = 5). Error bars represent standard errors (±SE).
Different alphabets denote significant difference between the control
and with respective treatments (at p ≤ 0.05)
according to Duncan’s multiple range test (DMRT). C, control;
IC, inoculated control.
Effect of different concentrations (25, 50,
and 100 ppm) of S. siamea-synthesized
silver nanoparticles (AgNPs)
on chl a (A), chl b (B), and carotenoid
content (C) of T. ammi plants inoculated
with M. incognita. In these figures,
bar diagrams represent the mean values (mean ± SE) of five replicates
(n = 5). Error bars represent standard errors (±SE).
Different alphabets denote significant difference between the control
and with respective treatments (at p ≤ 0.05)
according to Duncan’s multiple range test (DMRT). C, control;
IC, inoculated control.
Chlorophyll b
The amount of chlorophyll b was significantly
reduced in IC plants compared with the
control plants. Nonsignificant reduction in the chlorophyll b content was noticed in T2 and T5 plants when compared with the control plants. The values were nonsignificant
by difference among T1, T4, and T7 plants and were on the order of T1 > T4 >
T7, respectively, but increased significantly compared
with the IC plants. The value of chlorophyll b was
nonsignificant when compared between IC and T9, although
a slight increase was noticed in T3 plants followed by
T6 plants (Figure B).
Carotenoid Content
The highest and
significant reduction
in the carotenoid content was noticed in IC plants when compared with
control plants. The values between T3 and T9 plants were nonsignificant, but they were significantly higher when
compared with IC plants, which were inoculated with nematode only.
Highest and significant increases in T2 and T5 plants were observed when compared with IC plants, and at par with
the control plants, although the values of T2 plants were
more than those of T5 plants (Figure C).
Biochemical Features
Nitrate
Reductase and Carbonic Anhydrase Activity
Nitrate
reductase and carbonic anhydrase activities were found decreased in
IC plants, which were inoculated with nematode only. Both enzymatic
activities increased significantly in all of the treated plants when
compared with the IC plants. The values of nitrate reductase (Figure A) and carbonic anhydrase
activity (Figure B)
were increased and the highest in T2 plants and the lowest
in T9 plants compared with IC plants. The T2 plants, which were treated with 50 ppm silver nanoparticles 1 week
prior to Meloidogyne inculcation, proved
to be the best concentration, and both enzymatic values were reduced
nonsignificantly when compared with the values of uninoculated untreated
plants (control).
Figure 3
Effect of different concentrations (25, 50, and 100 ppm)
of S. siamea-synthesized silver nanoparticles
(AgNPs)
on nitrate reductase activity (A) and carbonic anhydrase activity
(B), leaf nitrogen content (C), and leaf protein content (D) of T. ammi plants inoculated with M.
incognita. In these figures, bar diagrams represent
the mean values (mean ± SE) of five replicates (n = 5). Error bars represent standard errors (±SE). Different
alphabets show significant difference between the control and with
respective treatments (at p ≤ 0.05) according
to Duncan’s multiple range test (DMRT). C, control; IC, inoculated
control.
Effect of different concentrations (25, 50, and 100 ppm)
of S. siamea-synthesized silver nanoparticles
(AgNPs)
on nitrate reductase activity (A) and carbonic anhydrase activity
(B), leaf nitrogen content (C), and leaf protein content (D) of T. ammi plants inoculated with M.
incognita. In these figures, bar diagrams represent
the mean values (mean ± SE) of five replicates (n = 5). Error bars represent standard errors (±SE). Different
alphabets show significant difference between the control and with
respective treatments (at p ≤ 0.05) according
to Duncan’s multiple range test (DMRT). C, control; IC, inoculated
control.
Leaf Nitrogen Content
Leaf nitrogen content was found
increased significantly in all of the treatments when compared with
IC plants (Figure ). The enhancement in the leaf nitrogen content was the maximum and
significant in T2 plants followed by T5 and
T8 plants, in comparison to the values of IC plants, but
the values of T2 were at par with the values of control
plants. The highest and significant decrease was observed in IC plants
when compared with control plants. The results of T3, T6, and T9 plants were nonsignificant when compared
with the values of IC plants (Figure C).
Figure 4
Effect of different concentrations (25, 50, and 100 ppm)
of S. siamea-synthesized silver nanoparticles
(AgNPs)
on the number of galls formed by nematodes ( A), number of egg masses
(B), nematode populations in the soil (C), nematode population in
the root (D), the root-knot index (E), and the egg mass index (F)
in T. ammi plants inoculated with M. incognita. In these figures, bars, lines, and
scatter diagrams represent the mean values (mean ± SE) of five
replicates (n = 5). Error bars represent standard
errors (±SE). Different alphabets show significant difference
between the control and with respective treatments (at p ≤ 0.05) according to Duncan’s multiple range test
(DMRT). C, control; IC, inoculated control.
Effect of different concentrations (25, 50, and 100 ppm)
of S. siamea-synthesized silver nanoparticles
(AgNPs)
on the number of galls formed by nematodes ( A), number of egg masses
(B), nematode populations in the soil (C), nematode population in
the root (D), the root-knot index (E), and the egg mass index (F)
in T. ammi plants inoculated with M. incognita. In these figures, bars, lines, and
scatter diagrams represent the mean values (mean ± SE) of five
replicates (n = 5). Error bars represent standard
errors (±SE). Different alphabets show significant difference
between the control and with respective treatments (at p ≤ 0.05) according to Duncan’s multiple range test
(DMRT). C, control; IC, inoculated control.
Leaf Protein Content
The protein content in the leaves
significantly decreased in all of the plants when compared with the
healthy plants. Maximum and significant decreases in protein content
were noticed in IC plants inoculated with M. incognita alone compared with the values of uninoculated plants (control).
The least but significant reduction was observed in T2 plants
in comparison to control plants. The values were nonsignificant between
T2 and T5 plants but increased significantly
compared with IC plants. The protein content was higher in T2 plants than in T5 plants (Figure D).
Activities of the Defense
Enzyme
With the increase
in concentration of silver nanoparticles, all of the enzyme activities
like peroxidase (POS), catalase (CAT), superoxide dismutase (SOD),
and ascorbate peroxidase (APX) increased considerably (Figure A–D). The maximum and
significant (p ≤ 0.05) enhancement was found
in T3 plants treated with 100 ppm silver nanoparticles
1 week prior to M. incognita inoculation.
Significant (p ≤ 0.05) and lowest increases
were obtained in T1 plants treated with 25 ppm silver nanoparticles
1 week after the inoculation of M. incognita. Additionally, plants (IC) inoculated with M. incognita only exhibited a significant increase over control plants (C).
Figure 5
Effect
of different concentrations (25, 50, and 100 ppm) of S. siamea-synthesized silver nanoparticles (AgNPs)
on the activity of the defense antioxidant enzyme (A) peroxidase,
POD; (B) catalase, CAT; (C) superoxide dismutase, SOD; and (D) ascorbate
peroxidase, APX in T. ammi plants inoculated
with M. incognita. In these figures,
bars, lines, and scatter diagrams represent the mean values (mean
± SE) of five replicates (n = 5). Error bars
represent standard errors (±SE). Different alphabets show significant
difference between the control and with respective treatments (at p ≤ 0.05) according to Duncan’s multiple range
test (DMRT). C, control; IC, inoculated control.
Effect
of different concentrations (25, 50, and 100 ppm) of S. siamea-synthesized silver nanoparticles (AgNPs)
on the activity of the defense antioxidant enzyme (A) peroxidase,
POD; (B) catalase, CAT; (C) superoxide dismutase, SOD; and (D) ascorbate
peroxidase, APX in T. ammi plants inoculated
with M. incognita. In these figures,
bars, lines, and scatter diagrams represent the mean values (mean
± SE) of five replicates (n = 5). Error bars
represent standard errors (±SE). Different alphabets show significant
difference between the control and with respective treatments (at p ≤ 0.05) according to Duncan’s multiple range
test (DMRT). C, control; IC, inoculated control.
Number of Galls and Number of Egg Masses
Gall formation
was observed in all M. incognita-treated
plants. However, the number of galls and number of egg masses were
higher in IC plants, in comparison to other plants that were treated
with silver nanoparticles. In all of the treatments, the number of
galls and number of egg masses were found reduced significantly compared
with IC plants. The highest and significant reduction in gall formation
and egg mass production was noticed in T3 plants followed
by T2 plants when compared with IC plants. The lowest but
significant decrease was observed in T1 plants followed
by T4 and T7 plants in comparison to IC plants
(Figure A,B).
Nematode
Population (Root and Soil)
The nematode population
was the highest in IC plants that were inoculated with M. incognita only. Among the treated plants from
T1 to T9, significant reductions in the nematode
population were observed when compared with the plants inoculated
with nematodes only. Maximum and significant reductions were observed
in T3 plants followed by T6 plants in comparison
to T1, T2, T4, T5, T7, T8, and T9 plants (Figure B,C).
Principal
Component Analysis (PCA) and Pearson Correlation Analysis
Biplot results of principal component analysis (PCA) accounted
for a total variance of 94.37% (PIC = 57.87%; PC2 = 36.50%) in plants
treated with different concentrations of silver nanoparticles (25,
50, 100 ppm) and inoculated with M. incognita (Figure A). Growth,
yield, and biochemical parameters (shoot and root dry weight, seed
yield per plant, seed oil content, chlorophyll a,
nitrate reductase activity, and carbonic anhydrase) are clustered
together to explain the negative correlation with the nematode disease
parameters like number of gall and number of egg masses. Similarly,
increases in the activities of defense enzymes like POD, CAT, SOD,
and APX were also found to be negatively correlated with the number
of galls and number of egg masses. Significant correlations between
each of the two variables (p-value 0.05) are shown
in Figure B (for the
Pearson correlation matrix, see the Supporting Information Table S1).
Figure 6
Relationships of some studied parameters
of T. ammi at different concentrations
of silver nanoparticles (AgNPs) (25,
50, 100 ppm) before, simultaneously, and after 1 week of M. incognita inoculation. (A) Biplot results of principal
component analysis (PCA) of various growth, yield, biochemical, and
antioxidant enzyme and nematode parameters. (B) Pearson correlation
results. SDW, shoot dry weight; RDW, root dry weight; SYPP, seed yield
per plant (g); SOC, seed oil content (%); Chl a,
chlorophyll a; NRA, nitrate reductase activity; CA,
anhydrase activity; POD, peroxidase; CAT, catalase; SOD, superoxide
dismutase; APX, ascorbate peroxidase; NOG, number of galls per root
system; and NOE, number of egg masses per root system. Control, untreated
and uninoculated; IC, inoculated with 2000 J2 of M. incognita only; T1, 25 ppm silver nanoparticles
1 week prior to 2000 J2 of M. incognita; T2, 50 ppm silver nanoparticles 1 week prior to 2000
J2 of M. incognita; T3, 100 ppm silver nanoparticles 1 week prior to 2000 J2 of M. incognita; T4, simultaneous inoculation of 2000 J2of
M. inocgnita and 25 ppm silver nanoparticles; T5, simultaneous inoculation of 2000 J2 of M. inocgnita and 50 ppm silver nanoparticles; T6, simultaneous inoculation of 2000 J20of M. inocgnita and 100 ppm silver nanoparticles;
T7, 2000 J2 of M. inocgnita inoculation 1 week prior to 25 ppm silver nanoparticles; T8, 2000 J2of M. inocgnita inoculation 1 week prior to 50 ppm silver nanoparticles; and T9, 2000 J2 of M. inocgnita inoculation 1 week prior to 100 ppm silver nanoparticles.
Relationships of some studied parameters
of T. ammi at different concentrations
of silver nanoparticles (AgNPs) (25,
50, 100 ppm) before, simultaneously, and after 1 week of M. incognita inoculation. (A) Biplot results of principal
component analysis (PCA) of various growth, yield, biochemical, and
antioxidant enzyme and nematode parameters. (B) Pearson correlation
results. SDW, shoot dry weight; RDW, root dry weight; SYPP, seed yield
per plant (g); SOC, seed oil content (%); Chl a,
chlorophyll a; NRA, nitrate reductase activity; CA,
anhydrase activity; POD, peroxidase; CAT, catalase; SOD, superoxide
dismutase; APX, ascorbate peroxidase; NOG, number of galls per root
system; and NOE, number of egg masses per root system. Control, untreated
and uninoculated; IC, inoculated with 2000 J2 of M. incognita only; T1, 25 ppm silver nanoparticles
1 week prior to 2000 J2 of M. incognita; T2, 50 ppm silver nanoparticles 1 week prior to 2000
J2 of M. incognita; T3, 100 ppm silver nanoparticles 1 week prior to 2000 J2 of M. incognita; T4, simultaneous inoculation of 2000 J2of
M. inocgnita and 25 ppm silver nanoparticles; T5, simultaneous inoculation of 2000 J2 of M. inocgnita and 50 ppm silver nanoparticles; T6, simultaneous inoculation of 2000 J20of M. inocgnita and 100 ppm silver nanoparticles;
T7, 2000 J2 of M. inocgnita inoculation 1 week prior to 25 ppm silver nanoparticles; T8, 2000 J2of M. inocgnita inoculation 1 week prior to 50 ppm silver nanoparticles; and T9, 2000 J2 of M. inocgnita inoculation 1 week prior to 100 ppm silver nanoparticles.
Anatomical Observation
Histopathological
observation
in the transverse section of the roots of T. ammi of different treatments showed a marked defense strategy adopted
by plants against M. incognita infection.
The plants that were inoculated with M. incognita only (IC) showed maximum damage including an abnormal xylem and
phloem and 5–8 multinucleate giant cells at the site of feeding.
The juveniles were clearly observed in the infected roots, which showed
minimum accumulation of lignin (Figure B). Remarkable variations in lignin deposition of vascular
bundles were observed among different treatments. Lignin was highly
deposited in T2 plants that were treated with 50 ppm silver
nanoparticles prior to M. incognita inoculation (Figure C). Xylem shape, phloem cells, and cortical cell size were reduced
and got damaged in plants that were treated with 100 ppm silver nanoparticles
(Figure D).
Figure 7
Effect of different
concentrations of green synthesized silver
nanoparticles (AgNPs) on lignification in T. ammi roots. Transverse section of control root (A), M.
incognita-infected root (B), 50 ppm silver-nanoparticle-treated
root + M. incognita inoculation (C),
and 100 ppm silver-nanoparticle-treated root + M. incognita inoculation (D). Abbreviations: NX, normal xylem; NP, normal phloem;
NCC, normal cortical cell; LD, lignin deposition; AX, abnormal xylem;
AP, abnormal phloem; GC, giant cell; N, nematode; DCC, distorted cortical
cell; RP, reduced phloem; RX, reduced xylem.
Effect of different
concentrations of green synthesized silver
nanoparticles (AgNPs) on lignification in T. ammi roots. Transverse section of control root (A), M.
incognita-infected root (B), 50 ppm silver-nanoparticle-treated
root + M. incognita inoculation (C),
and 100 ppm silver-nanoparticle-treated root + M. incognita inoculation (D). Abbreviations: NX, normal xylem; NP, normal phloem;
NCC, normal cortical cell; LD, lignin deposition; AX, abnormal xylem;
AP, abnormal phloem; GC, giant cell; N, nematode; DCC, distorted cortical
cell; RP, reduced phloem; RX, reduced xylem.
Discussion
As the aqueous leaf extract
of S. siamea was added to silver nitrate
solution, the color of the solution
changed from yellow to brown because of the reduction of silver nitrate
solution to silver ions (Ag+), and this indicates the formation
of silver nanoparticles.[26] The absorption
band in this range (300–350 nm) is attributed to the surface
plasmon band of silver nanoparticles. Silver nanoparticles exhibit
brown color in aqueous suspensions, which is due to the oscillation
modes arising from the electromagnetic field in the visible range
and also due to the collective oscillations of conduction electrons.[27] The absorption peak of biosynthesized silver
nanoparticles was found to be broad, which can be attributed to the
polydispersed nature of the nanoparticles.[28,29] Moreover, the asymmetrical absorption spectrum of silver nanoparticles
indicates the size variation and anisotropy of nanoparticles.[30]The absorption band at 2924 cm–1 is assigned
to the vibrations of secondary amines.[31] The broad band at 3432 cm–1 is due to the stretching
of O–H groups.[32] Moreover, the peak
at 824 cm–1 is characteristic of the aromatic ring.[33] This indicates the role of aromatic compounds
in the stabilization or surface coating of silver nanoparticles. The
FTIR bands near 2390 cm–1 confirm the presence of
alkynes on the surface of silver nanoparticles.[34] The presence of carboxylic acids was also confirmed by
the band at 1762 cm–1.[35] The very sharp band at 1382 cm–1 may be attributed
to the −C–O stretching mode.[36] It has been documented in the literature that the size distribution
of nanoparticles depends on the relative rate of nucleation as well
as on the extent of agglomeration.[37]This study revealed
that the growth, yield, and biochemical characteristics
of T. ammi decreased in the presence
of M. incognita (Tables and 2). Reductions
were higher in the length and weight of roots than in shoots. The
decrease in growth attribute might be due to the malfunctioning of
tissues in the stellar region of the affected root. It has been observed
that plants infected with M. incognita caused significant reductions in growth parameters[38,39] and biochemical characteristic[40] of the
plant. Application of silver nanoparticles decreased the nematode
population and improved the growth and yield parameters of T. ammi. These results were in accordance with the
earlier findings of Abdellatif et al.,[41] in which the authors demonstrated that eggplants treated with green
synthesized silver nanoparticles showed a significant increase in
plant growth and decrease in gall number, egg mass number, and soil
population of the nematode. Cromwell et al.[42] observed nematicidal effects of silver nanoparticles on Bermuda
grass infected with the root-knot nematode. Silver nanoparticles are
highly reactive and effective even under lower concentrations and
act as antimicrobial agents.[43] From our
studies, it was evident that the use of silver nanoparticles greatly
influenced the plants when applied at appropriate times and concentrations.
It was noticed that 50 ppm silver nanoparticles applied 1 week before M. incognita inoculation (T2 plants) caused
the highest and maximum reduction in disease incidence followed by
simultaneous inoculation (T5 plants). A higher concentration
of 100 ppm silver nanoparticles (T3, T6, and
T9 plants) applied before, simultaneously, or after M. incognita inoculation proved toxic to the plant.
These findings support those of Lamsal et al.[22]In the present study, it was found that growth and yield were
increased
due to the enhanced production of photosynthetic pigments (chl a, chl b, and carotenoids). The rate of
photosynthesis depends on the quality and intensity of light.[44] UV-B radiation leads to aggregation of reactive
oxygen species (ROS) in the chloroplast, which destroys PS II, leading
to a reduced rate of electron transfer and damage of the thylakoid
membrane. The nanoparticles alleviate the effects of UV-B radiation
and improve the photosynthetic rate.[45−47] The present study revealed
that nitrate reductase and carbonic anhydrase activity along with
leaf protein content and leaf nitrogen content significantly increased
in plants treated with silver nanoparticles. Application of 50 ppm
silver nanoparticles, 1 week before M. incognita inoculation (T2 plants), showed the maximum increase
in biochemical characteristics followed by simultaneous inoculation
of 50 ppm silver nanoparticles and M. incognita (T5 plants). Significant increases were also recorded
in other treatments (T1, T4, T6,
T7, T8, and T9). Treatment of NP
enhanced growth and biochemical parameters in Brassica
juncea.[48] These findings
are similar to our results in terms of chlorophyll and protein contents.
In the present study, by comparing the activities of the defense enzyme
such as catalase, peroxidase, superoxide dismutase, and ascorbate
peroxidase (CAT, POD, SOD, and APX, respectively), it is evident that
the accumulation of studied silver nanoparticles induced a strong
antioxidant response in T. ammi against M. incognita by reducing the number of galls, number
of egg masses, and the nematode population. Application of nanoparticles
was responsible for enhancing the antioxidant enzyme activities like
POD, CAT, SOD, and APX, but the degree of this increase depended on
the dose and on the type of NPs.[49]Reduction in gall formation and production of egg masses was the
highest in T3 plants treated with 100 ppm silver nanoparticles
compared with IC plants. It seems that this concentration was not
favorable for plants as was evident from the physiological parameters
of the treated plants. However, the values of T2, T3, and T5 plants were nonsignificant, although the
number of gall and number of egg masses were the lowest in T3 plants. From the results, it is clear that 50 ppm concentration
of silver nanoparticles before M. incognita inoculation (T2 plants) was the best dose followed by
simultaneous inoculation (T5 plants). Decrease in the number
of gall number and egg mass number was due to the activity of silver
nanoparticles that enhances the growth and development of the plant.
Similar findings were reported by Abdellatif et al.[41] in eggplants and Hassan et al.[50] in tomatoes. Antimicrobial properties of silver nanoparticles against
fungal phytopathogens were also established.[51−53] This might
be due to a reduction in enzyme and toxin production utilized by the
pathogenic fungus for disease incidence.[54,55] The nematicidal effect of allicin (diallyl thio sulfinate), the
key natural antimicrobial compound of garlic, has been observed under
the greenhouse condition. Allicin effectively inhibited the juvenile
activity and improved the yield of tomato plants.[56] Cinnamyl acetate purified from Cinnamomum
aromaticum showed 100% mortality against juveniles
of M. incognita.[57]Silver nanoparticles might alter the behavior of
soil-inhabiting
organisms, which influence feeding and root penetration of the nematode.
Lignin deposition in cells of vascular bundles of silver-nanoparticle-treated
plants was confirmed by observing the transverse section of roots.
The maximum lignin deposition occurred in T2 plants treated
with 50 ppm silver nanoparticles before nematode inoculation. From
the study, it is evident that lignin plays a crucial role in the development
of resistance against M. incognita.
The lignified cell wall acts as a physical barrier against pathogenic
attack[58] and is the main resistance factor.[59] Works on the applicability of silver nanoparticles
to control various kinds of phytopathogens have been extensively made
by several researchers, for example, sclerotium-forming
fungi,[53]Fusarium culmorum,[60] powdery mildew on pumpkin,[61]Pseudomonas syringae pv. on tomato,[62] and gray mold in strawberry.[63]
Conclusions
From the data of the
results, it might be concluded that biosynthesized
silver nanoparticles are less toxic and can be used effectively for
the management of root-knot disease caused by M. incognita. Treatment of seedlings with 50 ppm silver nanoparticles before
inoculation of M. incognita proved
to be the best dose in comparison to simultaneous and postinoculation
of M. incognita. The results indicated
that the values of growth and yield parameters of plants treated with
100 ppm silver nanoparticles prior to nematode inoculation were at
par with the values of IC plants. A higher concentration of silver
nanoparticles was probably toxic to the plants. Thus, before recommending
its dose in agricultural fields, an optimum concentration should be
determined to check the efficiency of nanoparticles against the nematode
and their toxicity toward plants. Further research is required to
verify the effects of biosynthesized silver nanoparticles under field
conditions. Competent delivery systems for the commercial application
of silver nanoparticles could be developed based on soil conditions
and crop type.
Experimental Methods
Collection and Preparation
of Leaf Extract and Chemicals Used
during the Study
Leaves of S. siamea were collected from the university campus. The leaves were thoroughly
washed with double-distilled water (DDW) to remove debris from the
surface and dried at room temperature. Dried leaves were ground in
an electric grinder to make a fine powder. About 20 g of dried leaf
powder was kept in a conical flask containing 200 mL of double-distilled
water for 30 min with continuous stirring. The extract was allowed
to pass through Whatman filter no. 1 and stored at 4 °C for further
use. Silver nitrate (AgNO3) was purchased from Sigma-Aldrich
(India). Leaf was used as the reducing agent to synthesize silver
nanoparticles (AgNPs). Sterilized double-distilled water (DDW) was
used throughout the experiments.
Synthesis and Characterization
of Silver Nanoparticles
Silver nanoparticles were synthesized
using an aqueous extract of S. siamea leaves. In a typical reaction, 10 mL of
aqueous leaf extracts was mixed in 90 mL of 0.1 M silver nitrate solution.
The changes in the color of the mixture of the aqueous leaf extract
and silver nitrate from light yellow to brown indicated the formation
of nanoparticles.[64] After biosynthesis,
the silver nanoparticles were separated by centrifugation of the solution
at 15 000 rpm for 20 min. Silver nanoparticles were redispersed
in distilled water and purified by repeated centrifugation three times
to remove the plant extract. The pellet obtained was dried in a hot-air
oven for characterization. Nanoparticle size and morphology were confirmed
by transmission electron microscopy (TEM, Hitachi H-7500) and scanning
electron microscopy (SEM, JEOL -JSM6100).
Plant Materials
The seeds of ajwain (Trachyspermumb ammiAA-1) were obtained from the National
Research Centre on Seed Spices, Ajmer, India. Healthy seeds of uniform
size were surface-sterilized with 1% sodium hypochlorite (NaOCl) solution
for 15 min, followed by repeated washing with double-distilled water
(DDW).
Source of M. incognita
Infected roots of eggplant (Solanum melongena) with the root-knot nematode (M. incognita) were collected from an eggplant field. Root-knot nematode species M. incognita was identified on the basis of the North
Carolina differential host test and perennial pattern morphology.[65] A single egg mass was inoculated on an eggplant
to maintain the M. incognita race-1
population. The egg masses were collected from the galled roots using
sterilized forceps, transferred in a 20 μm sieve, and kept at
room temperature for hatching of eggs following the Baermann funnel
technique.[66] The second-stage juveniles
(J2) were collected in distilled water in a beaker. The
second-stage juveniles were counted in a counting dish under a stereomicroscope.
The suspension was standardized to 1000 J2/10 mL of suspension.[67]
Experimental Design and Maintenance of T. ammi Plant
A pot experiment was conducted
in the greenhouse
of the Department of Botany, at Aligarh Muslim University, Aligarh
(27°52′N latitude, 78°51′E longitude, and
187.45 m altitude). A homogenous mixture of 2.5 kg of steam-sterilized
field soil and organic manure (3:1) was filled in autoclaved clay
pots (38 cm) of 3 kg capacity. There were 55 pots arranged in a complete
randomized block (CRD) design, and one treatment contained five pots.
Two-week-old seedlings of 12 cm size were transplanted, and 5–7
cm deep holes were made about 2 cm deep from the base of the stem.
The infective second-stage juveniles and silver nanoparticles were
pipetted in these holes. Untreated plants were given water only and
served as negative controls, while uninoculated and untreated plants
serve as positive controls. The experiment was conducted in 2016–2017
and repeated in the 2017–2018 season. The concentration of
silver nanoparticles and the treatment plan were based on a previous
research by Kim et al.[68] and Lamsal et
al.[22] with slight modifications, which
are as follows:Control = untreated and uninoculatedIC
= inoculated with 2000 J2 of M. incognita onlyT1 = 25 ppm silver nanoparticles 1 week prior
to 2000
J2 of M. incognitaT2 = 50 ppm silver nanoparticles 1 week prior to 2000
J2 of M. incognitaT3 = 100 ppm silver nanoparticles 1 week prior to 2000
J2 of M. incognitaT4 = simultaneous inoculation of 2000 J2 of M. inocgnita and 25 ppm silver nanoparticlesT5 = simultaneous inoculation of 2000 J2 of M. inocgnita and 50 ppm silver nanoparticlesT6 = simultaneous inoculation of 2000 J2 of M. inocgnita and 100 ppm silver nanoparticlesT7 = 2000 J2 of M. inocgnita inoculation 1 week prior to 25 ppm silver nanoparticlesT8 = 2000 J2 of M. inocgnita inoculation 1 week prior to 50 ppm silver nanoparticlesT9 = 2000 J2 of M. inocgnita inoculation 1 week prior to 100 ppm silver nanoparticles
Estimation
of Growth Biomarkers
After 4 months, the
growth of silver-nanoparticle-treated and M. incognita-inoculated T. ammi plants was recorded.
The length of plant organs (shoot and roots) was measured by means
of a meter scale. Fresh weight and dry biomass of plant organs and
seed yield per plant were measured using an electronic balance. Also,
the numbers of branches and umbels per plant were counted visually.
Estimation of Essential Oil Content
The seeds of each
treatment were collected and crushed in an electric grinder with DDW.
The extraction of seed oil was carried out by following the method
of Clevenger.[69] The oil percentage in seeds
was calculated as follows
Estimation of Photosynthetic
Pigments
Chlorophyll a, chlorophyll b, and carotenoid contents
in the leaves of silver-nanoparticle-treated and M.
incognita-inoculated T. ammi plants were measured by following the procedure of MacKinney.[70]The following formula was usedV = total volume of the solutionW = weight of the leaves used for extraction of
the pigmentD = optical density of the sample
at 645 and 663
nm
Enzymatic Activity
Nitrate Reductase (NR, 1.6.6.1) Activity
The activity
of nitrate reductase (NR, 1.6.6.1) in leaves detached from M. incognita-inoculated and silver-nanoparticle-treated T. ammi plants was estimated.[71] For the estimation, 100 mg of new leaves was slashed and
taken into test tubes, containing 0.1 M phosphate buffer (pH 7.4),
KNO3, and 5% isopropanol. This combination was hatched
at 25 ± 2 °C for 2 h. After brooding, 0.2 mL of this hatched
arrangement was moved into a discrete cylinder and 0.15 mL of each
1% sulfanilamide and 0.02% NED-HCL was blended and left for 20 min
at room temperature for the greatest shading improvement. Tests were
performed in a cuvette, and absorbance was perused at 540 nm by spectrophotometer
against a blank. A standard curve was plotted utilizing the known
convergence of sodium nitrite. The NR activity was expressed in nMNO2 g–1 F Wh–1 after comparing
the OD of the sample with the standard curve.
Carbonic
Anhydrase (CA, 4.2.1.1) Activity
The carbonic
anhydrase action (CA, 4.2.1.1) was resolved in fresh leaves of M. incognita-inoculated and silver-nanoparticle-treated T. ammi following the procedure of Dwivedi and Randhawa.[72] For this 100 mg of leaves was cut into little
pieces and placed in a test tube containing 0.2 M cysteine hydrochloride
solution. This blend was brooded at 4 °C for 15–20 min.
To each test tube, 2 mL of phosphate support (pH 6.8) was blended,
followed by 0.2 M sodium bicarbonate, bromothymol blue, and the methyl
red marker. Each test tube was shaken appropriately and titrated against
0.5 N HCl. Readings were noted as and when the red-pink tone appeared.
A control test, without leaf tissues, was likewise titrated against
0.05 N HCL. The CA activity was expressed in μM CO2 kg–1 leaf FW S–1.
Determination
of Leaf Protein Content
The leaf protein
content in silver-nanoparticle-treated and M. incognita-inoculated T. ammi plants was determined
following the method of Lowry et al.[73] For
the estimation, 20 mg of oven-dried leaves was thoroughly mixed with
5% trichloroacetic acid. The solution was incubated at room temperature
for 19 min. The absorbance was read at 660 nm using a UV–visible
spectrophotometer. A standard solution of a known concentration of
bovine serum albumin (BSA) was prepared, and absorbance was read at
660 nm. A graph was plotted to compare the absorbance of each sample
to calculate the percent total protein content.
Estimation
of Leaf Nitrogen Content
Digestion of Leaves
Leaves collected
from each treatment
were dried in an oven at 80 °C using an electric grinder, and
a fine powder was made. Fifty hundred milligram of leaf powder was
digested in a digestion tube containing 2 mL of sulfuric acid followed
by dropwise addition of 0.5 mL of 30% hydrogen peroxide. This sample
was used to estimate the percent leaf nitrogen content on a dry-weight
basis.Leaf nitrogen content was estimated following the method
previously described by Lindner.[74] A 10
mL aliquot of processed leaves was transferred into a 50 mL volumetric
flask and 2 mL of 2.5 N sodium hydroxide was included into the reaction
mixture followed by the addition of 1 mL of 10% sodium silicate so
as to kill and evade the turbidity of the solution, separately. A
5 mL aliquot of this mixture was moved into another test tube followed
by adding of 0.5 mL of Nessler’s reagent. To appraise the leaf
nitrogen content, the solution was moved into a cuvette and the optical
density (OD) was measured at 525 nm.
Activity of the Defense
Enzyme Assay
Fresh leaf material
(0.5 g) was ground to 10 mL chilled (50 mM phosphate buffer) for the
extraction of antioxidant enzymes (pH 7.8). The mixture was then centrifuged
at 10 000g for 20 min at 4 °C. The supernatant
thus obtained was then used for the estimation of the activities of
antioxidative enzymes.The method assigned by Chance and Maehly[75] was used to test the activity of the peroxidase
(POD) in the leaf buffer.For the estimation of catalase (CAT)
(EC 1.11.1.6) activity, a
spectrophotometer was used after a decrease in absorption of H2O2 within 30 s at 240 nm.[76]For the estimation of superoxide dismutase (SOD) (EC 1.15.1.1)
activity, the method assigned by Giannopolitis and Ries[77] was used, and the ascorbate peroxidase (APX)
(EC 1.11.1.11) activity was estimated using the method provided by
Asada and Takahashi.[78]The activity
of these enzymes was estimated at a reduction in absorption
of 240 and 290 nm, respectively, and expressed as units mg–1 protein.
Number of Galls, Egg Masses, and Root-Knot
Index
The
number of galls per plant was counted visually, and the size of gall
was recorded by measuring its maximum length and width (in μm)
using a micrometer.The infected roots detached from silver-nanoparticle-treated
and M. incognita-inoculated T. ammi plants were kept in the phloxin-B solution
for 20 min. The roots were carefully washed in tap water, and the
red-stained egg masses were counted as a per root system on infected
roots.[79]At harvest, roots were examined
to count galls and egg masses on
a 0–5 scale by the following method.[80]0 = 0 gall/egg mass/root system.1 = 1–2 galls/egg
mass/root system.2 = 3–10 galls/egg mass/root system.3 = 11–30 galls/egg mass/root system.4 = 31–100
galls/egg mass/root system.5 = >100 galls/egg mass/root
system.
Histopathological Studies
After
120 DAS of inoculation,
roots of each treatment were gently washed with tap water and fixed
in formalin and acetic acid alcohol solution (FAA). The anatomical
studies were carried out by adopting the method of Johansen.[81] Preserved roots were dehydrated by a series
of ethanol and xylene solutions and embedded in paraffin wax. Small-sized
blocks of wax were prepared for sectioning of embedded root tissues.
The 10 μm thick sections were cut into straight ribbons with
the help of a rotary microtome. The ribbons were placed on a clean
slide. These slides were further washed in a series of ethanol solutions
and stained with safranin and fast green followed by dropwise washing
with cloveoil to remove the excess stain. Required amounts of Canada
balsam were placed on the surface and covered by placing a rectangular
coverslip to mount permanently. Slides were examined under a microscope
(Nikon Eclipse E200, Japan, attached with a camera) and photographed.
Statistical Analysis
All data of both seasons were
subjected to statistical analysis using R software. Means of five
replicates were taken, and the least significant difference (LSD)
was calculated at the probability level of p ≤
0.05. Means were compared using Duncan’s multiple range test
(DMRT) followed by the same letter within a treatment not significantly
different at 0.05 levels. Principal component analysis (PCA) and Pearson
correlation analyses were employed to determine the potential covariance
between bean plant growth, yield, biochemical parameters, and nematode
parameters like the number of galls and number of egg masses. All
of the analyses were performed using XLSTAT version 2020.5.1.1075
of Addinsoft (2020).
Authors: Jose Ruben Morones; Jose Luis Elechiguerra; Alejandra Camacho; Katherine Holt; Juan B Kouri; Jose Tapia Ramírez; Miguel Jose Yacaman Journal: Nanotechnology Date: 2005-08-26 Impact factor: 3.874
Authors: Ramadan M El-Ashry; Mohamed T El-Saadony; Ahmed E A El-Sobki; Amira M El-Tahan; Saad Al-Otaibi; Ahmed M El-Shehawi; Ahmed M Saad; Nashwa Elshaer Journal: Saudi J Biol Sci Date: 2021-10-11 Impact factor: 4.219
Authors: Mohammad Danish; Mohammad Shahid; Lukman Ahamad; Kashif Raees; Ashraf Atef Hatamleh; Munirah Abdullah Al-Dosary; Abdullah Mohamed; Yasmeen Abdulrhman Al-Wasel; Udai B Singh; Subhan Danish Journal: Front Microbiol Date: 2022-08-26 Impact factor: 6.064