Gene Expression Evaluation of
Multigenic Cotton (Gossypium hirsutum) against
Cotton Leaf Curl Virus
Muhammad
Rizwan Afzal1, Muhammad Tariq Manzoor1, Sajid Ali1*,
Ammara Fatima2, Sadia Nawaz3, Muhammad Rizwan Tariq1,
Moazzam Anees1, Muhammad Atif1, Nida Rafaqat1
and Ahmad Ali Shahid4
1Faculty of Agricultural Sciecnces/University of the
Punjab, Lahore-54590, Pakistan
2Department of
Environmental Science, Lahore College for Women University, Lahore, Pakistan
3Institute of Biochemistry
and Biotechnology, University of Veterinary and Animal Sciences, Lahore,
Pakistan
4Centre of excellence and
molecular biology/ University of the Punjab, Lahore-54590, Pakistan
*For correspondence: sajid.agronomy@pu.edu.pk
Received
07 January 2021; Accepted 23 April 2021; Published 10 June 2021
Abstract
One of the most crucial threats
limiting the sustainable production of cotton is cotton leaf curl disease
(CLCuD). There is dire need to produce a resistant variety that can combat
CLCuD. For this purpose, virus resistant transgenic cotton plants (MNH-786)
with C4 gene construct at T3 generation were selected and sown. Young fresh
leaves of multigenic variety of MNH-786 were collected to confirm the
transformed construct. Infected whiteflies were used for spreading on
transgenic cotton MNH-786 variety with C4 construct to check percentage of
infection. Whiteflies were collected from infected cotton plants showing CLCuD
and reared in lab to increase the population of whiteflies. After 15 days of
feeding, infected leaves of transgenic plants were collected and total DNA of
infected leaves of transgenic cotton plant with virus load was extracted. At
maturity, data of morphological characteristic was taken from the transgenic
cotton plants of MNH-786 and control plants. Resistant transgenic cotton plants
showed < 0.5% disease index and recorded more plant height in field
condition. Total number of bolls per plant was 20% more in tolerant plants and
40% more in resistant plants as compared to susceptible plants. Molecular
analysis of transgenic plants showed clear evidence that expression of
construct 4 virus resistant gene against begomoviruses in resistant and
tolerant group of transgenic plants was more as compared to susceptible group
and control. © 2021 Friends Science Publishers
Keywords: Begomovirus; Whitefly; Clone; Resistance; Plasmid
Introduction
Cotton (Gossypium
hirsutum L.) is one of major cash crops
of Pakistan and contributes a strengthening role in Pakistan economy and in
earning of foreign exchange. Cotton is the crop having global significance with
respect to fibre and livestock feed (Rojo-Gutiérrez et al.
2020). Cotton is a raw material for the textile
industry that contributes lot in economy of Pakistan. Along with textile uses,
cotton seed oil is produced from cotton seed which is a rich source of oil and
cotton seed cakes are also used as livestock feed. In Pakistan, cotton is the
second most cultivated crop after wheat (Triticum aestivum). Gossypium
genus contains almost 50 species from which 90% are diploid (2X) while rest are
allotetraploid (4X) species (Ulloa and Messmer 2006). From these only four
species are cultivated i.e., G.
arboreaum L., G. herbaceum L.,
G. barbadense L. and most widely grown species G. hirsutum L.
with tetraploid genome. G. hirsutum L. has been known as the highest
yielding and is cultivated more than 90% worldwide (An et al. 2007).
Commercial
cultivated cotton crops are more susceptible to the insects and pathogens.
Almost more than 30 species of fungi and, some bacteria and insects are involved
in causing yield loss to cotton crop. Despite the continual improvement in the
performance of control strategies, losses remain very high and certainly are
not declining. The harvest losses are 30% (animal pests 12%, viruses 10% and
weeds 7%) (Oerke and Dehne 2004). In 1912, cotton leaf curl virus was found in
Nigeria. Almost fifty years later, CLcuD was first recorded during 1967 in
Multan (Pakistan) on scattered hirsutum plants and in Ghotki (Sindh) in
1996. At that time attention was not paid on this virus but later on in 1990s,
this viral disease caused serious threats to crop in Pakistan. In Punjab during
1992‒1993,
CLcuD appeared as epidemic and cost a huge loss. About 97,580 hectares area was
under severe attack of virus, which caused a loss 543,294 bales over one year.
The financial losses with the estimated value of $5 billion (US) to the nation
occurred from 1992‒1997
(Mansoor et al. 2001).
In the
very beginning, to overcome stresses many conventional ways were being adopted
like early detection, seed treatments, crop rotations, avoiding cultivation of
alternative host, breeding for resistance, chemical control of vectors and
cross protection (Johnson 2000; Hull 2001). Plant resistance cannot be
introduced efficiently thorough conventional breeding procedure. Later with the
advance’s biotechnology and molecular biology, conventional methods were
reduced. Modern genomics and proteomics studies helped to produce improved
yield crop varieties with disease resistance (Mittler and Blumwald 2010; Hernández-Centeno et al. 2020). With the passage of time, many techniques
were developed that allow introduction of natural resistance gene in
susceptible plants (Liu et al. 2002) and many plant resistance genes
have been cloned (Rufell et al. 2002; Zhang and Gassmann 2003). Many
different strategies have been documented to combat against different plant
viruses. In plants that lack natural resistance, many genes have been
incorporated to engineer pathogen derived resistance (sequence-derived from the
pathogen itself) by RNA mediated technology (Ilyas et al. 2011). For
Geminiviruses, numerous protein mediated resistance (coat protein mediated and
movement protein mediated) approaches to achieving resistance in plant have
been also investigated (Gallitelli and Accotto 2001). Resistance due to
expression of the non-pathogen derived antiviral agents i.e., virus induced cell death and DNA binding protein from
heterologous sources also introduced in cotton plants (Rojo-Gutiérrez et al.
2020). The wild Gossypium species namely G. thurberii, G. anomalum, G.
raimondii, G. armourianum, and G. tomentosum are a good source of
resistance to insect pests, such as boll-worms, jassids,
whitefly and mites, and for resistance to diseases including bacterial blight,
and verticillium wilt (Azhar et al. 2010).
Keeping
in view the above discussion, this study was designed to investigate the
tolerance of MNH-786 against the virus causing huge yield losses to white gold
of Pakistan. A lot of work has already been done to cope with CuCLD and many
varieties of cotton have been studied against it. Yet the threat to cotton by
this fatal virus/disease has not been fully controlled. This study was
conducted to confirm positive putative transgenic plants of this MNH-786 cotton
variety at T3 Generation and to check variation in expression for virus
resistant genes. Research objectives whether MNH-786 is resistant to CuCLD were
accomplished by using various molecular techniques, white fly assay and the
performance of the variety under field conditions.
Materials and Methods
Seeds of forty-five virus resistant transgenic
cotton plants (MNH-786 cotton variety collected from CEMB) with C4 gene
construct at T3 generation and five control cotton plants were sown in 50 clay
pots and placed in green house located in CEMB (Center for Excellence in
Molecular Biology). After germination, seedlings of these plants were
transplanted in a plot on 10 rows, five plants each with 25 cm plant to plant
and 75 cm row to row distance in high tunnel. All plants were used to confirm
the transgene. The experiment was laid out in completely randomized design with
5 replications with 10 plants per replicate and 49 degrees of freedom (total).
Confirmation of genetic transformed construct
Young fresh leaves of
multigenic variety of MNH-786 cotton variety from all the plots of high tunnel
were collected to confirm the transformed construct. Genomic DNA of transgenic
cotton plant with virus gene was extracted by CTAB method with some
modification (Saha et al. 2002). To check the concentration and quantity
of extracted DNA, it was run on 0.8% gel. To confirm the targeted Construct in
transgenic plant genome, polymerase chain reaction was performed in Plant Lab
of CEMB. For the amplification of 499 bp (≈500 bp) fragment (Fig. 2), a
reaction mixture was prepared by following ingredients: 5 µL of DNA as template, 2 µL
of 1 mM dNTPs, 2.5 µL of 10 X Taq Buffer (Fermantas), 2.5 µL of MgCl2 (Fermantas), 2 µL of 10 pmol reverse primer pdk 5’
ATTGACCTGGAACT 3’, 2 µL of 10 pmol
forward primer pdk 5’ ATGTGCACTAAGGCT 3’, and 1 µL Taq Polymerase enzyme
(Fermantas). Final volume was adjusted to 20 µL by adding injection water of 2 µL in each reaction. These thermocycler conditions were given to
PCR machine, initial denaturation was done at 95°C for 5 mins followed by 35
cycles of denaturation at 95ºC for 1 min. Annealing was carried out at 57ºC for
1 min followed by extension at 72ºC for 1 min. Final extension was done at 72ºC
for 10 min.
Whitefly
assay and RT-PCR
Infected whiteflies
were used for spreading on transgenic cotton MNH-786 variety with C4 construct
in order to check percentage of infection in cages under greenhouse condition (Fig.
1A, B) and to perform Real Time PCR for the quantification of Virus Titer.
Rearing
and collection of viruliferous whiteflies
Whiteflies were
collected from infected cotton plants showing CLCuD and reared in lab for two
weeks at temperature of 28°C, 30‒50% relative humidity, and 14-h photoperiod for
increase its population of whiteflies. Virus infested whiteflies were collected
from the cage in Vial collector with the help of aspirator device with very
gentle breath. Firstly, cage was little shaken to disperse the whiteflies and
20 whiteflies for each vial collector were collected by aspirator. These infested
whiteflies were then taken to experimental area for transmission in green
house.
Feeding
of whiteflies on experimental plants
On the basis of
morphological symptoms, positive putative transgenic plants of MNH-786 variety
were categorized in three categories i.e.,
resistant, tolerant and susceptible. These plants were placed in small cages
little higher than plants. About 4 to 5 whiteflies were fed upon each leave and
cages were locked carefully so they cannot escape. Temperature and humidity
were also maintained in green house. Symptoms were noted on regular basis to
check resistance level.
Total
DNA of infected leaves of transgenic plants was extracted to check virus titter
After 15 days of
feeding, infected leaves of transgenic plants were collected and total DNA of
infected leaves transgenic cotton plant with virus load was extracted by CTAB
method with some modification (Saha et al. 2002).
Confirmation
of presence of virus titter in total genomic DNA
To confirm the viral
load in genomic
Quantification
of virus titter through RT-PCR
In order to quantify the concentration of virus
load, a mentioned protocol in Maxima® SYBER Green/ROX for real time PCR was
used. Real time PCR was conducted in an iQ5 cycler (BIO-RAD) with a 96-well
plate. Reaction master mix was prepared by adding the following components
except template DNA for each 15 µL
reaction to a micro centrifugation tube at room temperature: 7 µL of Maxima® SYBR Green/ROX qPCR Master
Mix (2x), 0.8 µM of forward β
primers L1 5’ AGTGCGCTGAAAAAGGTGAT ‘3, 0.8 µM
of reverse β primers R1 5’ ATTAAAACGTGAAAAAGGTGAT ‘3, and to make volume
water up to 15 µL nuclease free water
was added. Glyceraldehyde 3-phosphate dehydrogenase (GAPDH) was used as
internal control to normalize the data. The master mix was mixed thoroughly and
appropriate volumes were dispensed into PCR plate. One ul of template DNA was
added to individual wells containing the master mix. 96 well plates were
centrifuged for short time to mix reaction components properly. To remove
bubbles, mixed the gently otherwise bubbles interfered with the florescence
detection. The reaction conditions were as follows, initial denaturation at
95°C for 5 min followed by 40 cycles of denaturation at 95ºC for 45 s,
annealing at 54ºC for 30 sec followed by extension at 72ºC for 45 s. Final
extension was done at 72ºC for 7 min.
Field evaluation
Plants were
categorized on the basis of disease rating scale of 0‒2, where the plants
with 0 disease rating (1‒5% disease index) were categorized as resistant,
plants with 1 disease rating (-25% disease index as tolerant and 2 disease
rating (≥ 25% disease index) as susceptible (Table 1).
At maturity, data of
morphological characteristic was taken from seventy-five transgenic cotton
plants of MNH-786 and five control plants from tunnel. Morphological
characteristic like monopodial branches per plant, sympodial branches per
plant, number of total leaves per plant, number of infected leaves per plant,
number of bolls per plant, yield per plant and height of each plant were
observed.
Statistical
analysis
All the collected data were subjected to statistical
analysis by using Statistix ® version 8.9 statistical
package. The significance of treatment means was tested by using Analysis of
Variance (ANOVA) @ 5% probability. Means were separated by using Least
Significant Difference (LSD) test at α: 0.05. Correlation and regression
lines were carried out between percentage infection and other quantitative
parameters as monopodial branches and percentage infection per plant, sympodial
branches and percentage infection per plant, no of total leaves and percentage
infection per plant, number of infected leaves and percentage infection per
plant, number of bolls and percentage infection per plant, yield and percentage
infection per plant and height and percentage infection per plant.
Results
Table 1: Disease rating scale for transgenic cotton plants on basis of CLCuV symptoms
SYMPTOMS |
Disease rating |
Disease index (%) |
Plant category |
Small
Scattered vein thickening on plants |
0 |
1-5 |
Resistant |
Large group of Vein thickening
and leaf curling on plants |
1 |
5-25 |
Tolerant |
Sever
vein thickening, leaf curling, leaf enation stunted growth of plants and less fruit production |
2 |
≥25 |
Susceptible
|
Table 2: Comparison of the morphological characteristics of tansgenic plant
Plant/Mor. Char. |
Number of monopoida
plant-1 |
Number of sympodia
plant-1 |
Total leaves plant-1 |
Infected leaves plant-1 |
Bolls per plant |
Yield (g plant-1) |
Plant height (cm) |
Resistant |
3.2 ± 1.10 |
25.0 ab ± 7.52 |
99.6 ± 30.48 |
3.2 d ± 0.84 |
29.6 a ± 5.22 |
118.4 a ± 20.90 |
38.6 a ± 3.36 |
Tolerant |
2.0 ± 1.58 |
18.2 c ± 3.96 |
73.8 ± 14.62 |
16.0 c ± 4.30 |
20.6 b ± 5.94 |
82.4 b ± 23.77 |
33.8 a ± 6.69 |
Susceptible |
3.0 ± 0.71 |
19.8 bc
± 3.19 |
59.4 ± 16.65 |
29.6 b ± 6.19 |
17.0 b ± 3.67 |
68.0 b ± 14.70 |
29.0 a ± 3.77 |
Control |
3.0 ± 0.34 |
27.2 a ± 2.51 |
39.0 ± 11.21 |
67.4 a ± 2.45 |
8.8 c ± 0.51 |
27.2 c ± 2.03 |
21.0 b ± 2.35 |
P (0.05) |
0.325 |
0.027 |
0.493 |
< 0.000 |
< 0.000 |
< 0.000 |
0.052 |
LSD
(0.05) |
NS |
6.38 |
NS |
9.30 |
6.26 |
25.04 |
7.65 |
*
The values showing different letters within the column differ
significantly
Table 3: Correlation of Infection Percentage with different growth and yield parameters (n= 50)
Parameter |
Percent Infection |
Monopodial Branches |
0.078ns |
Sympodial Branches |
0.009ns |
Total number of leaves |
-0.341* |
Infected leaves |
0.909** |
Yield (g per plant) |
-0.746** |
Plant height (cm) |
-0.118ns |
Here
ns= Non-significant; *= Significant at 0.05; **= Significant
at 0.01
Fig. 1: A, B: Transgenic Plants
of MNH-786 variety
(C4-Construct)
Total number of leaves per plant and number of
monopodial branches per plants showed non-significant differences among
different groups of transgenic cotton variety used during the course of the
study. Maximum sympodial branches per plant (27.2 ± 2.51) were studied in case
of the control plants which were statistically at par with those of resistant
plants (25.0 ± 7.52). Tolerant group of plants showed minimum number of
sympodial branches per plant (18.2 ± 3.96) which were statistically same with
those of susceptible plants (19.8 ± 3.19). Resistant group of plants showed
least number of infected leaves (3.2) which was statistically lowest and
different from all other groups of the plants. Maximum leaves of the control
plants (67.4) were infected by CuCLD which were significantly higher than that
of all other groups of transgenic plants. Resistant group of plants showed
maximum bolls per plant (29.6), yield (118.4 g plant-1) and plant
height (38.6 cm). Control group of plants resulted in minimum bolls per plant
(8.8), yield (27.2 g plant-1) and plant height (21.0 cm) (Table 2).
Total number of leaves (-0.341)
and yield (-0.746) per plant were negatively correlated with disease infection
while infected leaves per plant (0.909) were positively correlated with disease
infection percentage. However, number of monopodial and sympodial branches per
plant and plant height had no association with disease infection percentage
(Table 3).
The isolated DNA from
transgenic cotton plants (MNH-786 Variety) elaborated in Fig. 3, which was
further used to identify the presence of C4 construct using a specific gene
primer. Genomic DNA of 45 transgenic plants had shown where, Lane 1 shows
Lambda Hind III, Lane 2‒14 show total DNA of transgenic plants (Fig. 3A), Lane 1‒15 depicted total DNA of
transgenic plants (Fig. 3B), and Lane 1‒15 showed total DNA of transgenic plants (Fig.
3C).
Fig. 2: C4 Plasmid amplification
via Transformation
Left:
Transformed bacterial colony of E. Coli
Top10 strain with C4 construct plasmid Right: Confirmation of Plasmid C4 on
Gel Lane 1: DNA ladder of
500 bp, Lane 2-4: Plasmid of construct C4
Fig. 3: Isolated DNA from Transgenic
cotton MNH-786 Variety plants
A:
Lane 1: Lambda Hind III, Lane 2‒14: Total
DNA of Transgenic Plants, B: Lane
1‒15:
Total DNA of Transgenic Plants, C: Lane
1‒15:
Total DNA of Transgenic Plants
A close
observation of Fig. 4
demonstrated the PCR amplification of transgenic cotton with gene specific
primers for C4 gene construct, and showed that out of total 45 transgenic
plants, 35 plants showed presence of C4 gene construct whereas 10 plants did
not show the C4 gene construct. Where, Lane 1 of the top lefut Feigure depicts
50 bp Ladder, Lane 2 exhibits amplified plasmid for positive control, Lane 3
explains the negative control, Lanes 4‒7, 9‒11
& 13‒15 showed positive transgenic plants and Lane 8 & 12 depicted the non – transgenic
plants (Fig. 4A). View of top right Fig. Lane 1 showed 50 bp Ladder, Lane 2
depicted amplified plasmid for positive control, Lanes 3‒6 & 8‒12 explains positive
transgenic plants, and Lane showed 7 non – transgenic plants (Fig. 4B).
Moreover, Lane 1 showed the 100 bp Ladder, Lane 2 depicted amplified
plasmid for positive
control, Lane 3 explainede the negative control, Lanes 4‒5, 7‒9 & 11‒15 showed the positive transgenic plants, and
Lanes 7, 10 and 16 exhibited non – transgenic plants (Fig. 4C). A look into the
bottom left Fig. Lane 1 shows the 100 bp Ladder, Lane 2 explains the amplified
plasmid for positive control, Lane 3 showed the negative control, Lanes 4‒5, 7‒8, 11‒13 & 15‒16 showed positive transgenic plants, and
Lanes 6, 9, 10 & 14 demonstrated non – transgenic plants (Fig. 4D).
Fig. 5 demonstrated the PCR to confirm the viral titer in transgenic plants, where Lane
1 showed 20 bp DNA Ladder, Lane 2 explained the positive viral DNA, Lanes 3 to
5 exhibited resistant group plants without virus load, Lanes 6 to 8 showed the
tolerant group of plants without virus load, Lanes 9 & 10 demonstrated the
susceptible group of plants with viral load and Lanes 11 to 15 expressed the
negative control without DNA (Fig. 5).
Real time results
for quantification of viral load in transgenic cotton
plants of C4 construct graphically presented in expressed that WTC (Wild Type
Control) showed presence of no virus titer load, NC (Negative Control) showed
4.5, RTCP (Resistant Transgenic cotton plant) negligible viral load, TTCP
(Tolerant transgenic cotton plant) showed 0.5 and STCP (Susceptible transgenic
cotton plant) showed 2.5 viral load (Fig. 6).
Fig. 4: PCR Amplification of Transgenic Cotton with gene specific primers for C4 gene Construct
A:
Lane 1: 50 bp Ladder, Lane 2: Amplified
plasmid for Positive
Control, Lane 3: Negative Control, Lane 4-7,9‒11 &
13‒15:
Positive transgenic Plant,
Lane 8 & 12: Non – Transgenic plants. B: Lane 1:
50 bp Ladder, Lane
2: Amplified plasmid for Positive Control, Lane 3-6 & 8-12: Positive transgenic Plant, Lane 7: Non – Transgenic
plants. C:
Lane 1: 100 bp Ladder, Lane 2: Amplified
plasmid for Positive
Control, Lane 3: Negative Control, Lane 4-5, 7-9
& 11-15: Positive transgenic Plant,
Lane 7, 10 and 16: Non – Transgenic plants D: Lane 1: 100 bp
Ladder, Lane 2: Amplified plasmid
for Positive Control, Lane 3: Negative
Control, Lane 4‒5,7-8,11‒13
&15‒16:
Positive transgenic Plant,
Lane 6, 9, 10 & 14: Non – Transgenic plants
Fig. 5: PCR to confirm the viral titer in transgenic plants
Lane 1: 20bp DNA Ladder, Lane 2: positive Viral
DNA, Lane 3 to 5: Resistant
group plants without virus load, Lane 6 to 8: Tolerant group plant without virus load, Lane 9
& 10: Susceptible group plants
with viral load, Lane 11 to
15: Negative control without
DNA
Fig. 6: Graph showing real time results for quantification of Viral load in transgenic cotton plants of
C4 construct
WTC: Wild
Type Control, NC:
Negative Control, RTCP: Resistant
Transgenic cotton plant, TTCP: Tolerant transgenic cotton plant, STCP: Susceptible transgenic cotton plant
Discussion
Now a
days, pathogen derived resistance has been demonstrated to be efficient to
control virus diseases in many virus-plant systems. The idea of pathogen
derived resistance was given by two scientists, Sanford and Johnston in the mid
of 80s. Since then, many strategies have been done to control viral infection
in important field crops. Some exercises proved profitable and gave very good
results in disease control. Based on pathogen derives resistance technique many
safe varieties of papaya and squash were developed in the mid-1990s. Previous
studies show that Pathogen derived resistance is a very useful tool in
controlling viral diseases in mungbean plants (Carli et
al. 2016). Mungbean yellow mosaic
virus (MYMV) is a very
devastating virus of mungbean crop in India. It has been causing severe losses
for many years (Singh et al. 2013). Many methods have been developed to
control this virus so far. Pathogen derived resistance proved one of the best
methods to control this (Joshi et al. 2014; Verma et al. 2014).
Development of resistant varieties has also been done by using pathogen derived
resistance in mungbean plants.
In this study, work was done to
check the ability of transgenic cotton MNH-786 variety with transformed
construct of two virus resistance i.e.,
pathogen derived resistance against begomoviruses and Amplicon based RNAi
construct targeting Beta-satellites. Variation in expression of these genes was
studied by using various molecular techniques. All sown transgenic plants were
screened based on molecular analysis. First to confirm the region of
transformed C4 construct in the Plant genome, PCR was performed with specific
primers with product size of 499 bp. From forty-five experimental transgenic
cotton plants thirty-four were found positive putative transgenic plants. From
these putative plants, plant was selected on the basis of morphological
characteristic and categorized into resistant, tolerant and susceptible for
whitefly assay. After feeding of whiteflies, virus titer was quantified by Real
Time PCR. From the results of real time PCR, it became evident that resistant
transgenic cotton plant has the least virus titer as compared to tolerant and
susceptible transgenic cotton plant. Negative control cotton plant had maximum
virus load of CLCuV. Almost negligible virus titer was noted in resistant
transgenic cotton plant. Susceptible transgenic cotton plant confirmed
promising expression of construct C4 virus resistant genes. Same results were
also described in VH-289 variety of cotton with V2 RNAi based construct where
RT-PCR showed that transgenic lines had low virus titer compared to wild-type
control plants upon challenging them with viruliferous whiteflies in contained
environment.
Transgenic
cotton plants with construct ihp RNAi construct upon inoculation also showed
resistance with least virus titer (Khatoon et al. 2016). Plants become
more resistant when they were inoculated with viral genes rather than coat
protein genes (Retnosari et al. 2018).
They showed resistance only against the viruses for they become transformed but
also against several other viruses. Plants defense genes become more adaptive
against several viruses when plants are transformed with viral DNA genes Keshavareddy
et al. (2018). Our
studies based on viral DNA genes inoculation. When begomovirus inoculated
biologically with the help of whiteflies, plants showed significance resistance
against this virus. From the Field, data was collected from putative positive
transgenic plants of MNH-786 variety and were evaluated as Resistant, tolerant
and susceptible at maturity with five replications. Other morphological
parameters i.e., Monopodial branches
per plant, Sympodial branches per plant, no of total leaves per plant, no of
infected leaves per plant, no of bolls per plant, yield per plant and height of
each plant were also observed. Monopodial branches per plant and total no of
leaves have non-significant variance and are reduced due to CLCuV infection.
Other parameters were all found significant result. Most significant traits
were shown by no. of bolls and Total yield per plant with significant value
> 0.001. This result indicate that resistance group has more no of bolls and
yield in compare to other groups. In previous research, reduction in no of
bolls, no of total leaves and Yield was noticed (Raza et al. 2016).
Conclusion
CLCuV
infection led to a significant change in all the parameters studied during the
course of the research with the exception of number of monopodial branches per
plant and total number of leaves per plant. Molecular analysis of transgenic
plants showed that expression of construct 4 virus resistant gene against
begomoviruses in resistant and tolerant group of transgenic plant was more
comparative to susceptible and control. Susceptible group although found as
positive putative plants with virus resistant. Being one of the most economical
crops cotton is the need of future to draw genetic engineering strategies to
overcome its major threat of Cotton Leaf Curl Disease that affects its yield.
Acknowledgements
The authors are
thankful to University of the Punjab, Lahore for providing the resources for
the current study
Author Contributions
MTM & AAS
planned the experiemnt, MRA performed the experiments SA AF & SN
statistically analyzed data & interpretted the results MRT MMA analysed
data reveiwed manuscript MA & NR collected and alanlyzed data statistically
analyzed the data and made illustrations
Conflict of Interest
Atuhors have no
conflict of interest
Data Availability
Corresponding
authors have all the raw data with them that can be accessed
Ethics Approval
Authors declare
that the research study has been carried out followiing all the scientific
ethics
Funding Source
No specified
funding for the current research study
References
An C, S
Saha, JN Jenkins, BE Scheffler, TA Wilkins DM Stelly (2007) Transcriptome
profiling, sequence characterization,
and SNP-based chromosomal assignment of the EXPANSIN gene in cotton. Mol Genet
Genom 278:539‒553
Azhar MT, MU Rehman, S Aftab, Y Zafar, S Mansoor (2010).
Utilization of natural and genetically-engineered sources in Gossypium
hirsutum for the development of tolerance against cotton leaf curl disease
and fiber characteristics. Intl J Agric Biol 12:744‒748
Carli MD, PD Rossi, P Paganin, AD Fiore, F Lecce, C
Capodicasa, L Bianco, G Perrotta, A Mengoni, G Bacci, L Daroda (2016).
Bacterial community and proteome analysis of fresh-cut lettuce as affected by
packaging. FEMS Microbiol Lett 363Article
fnv209
Gallitelli
D, GP Accotto (2001). Virus-resistant transgenic plants: Potential impact on the fitness of plant viruses. J
Plant Pathol 83:3‒9
Hernández-Centeno,
FM Hernández-González, HY López-De la Peña, R López-Trujillo, PB
Zamudio-Flores, E Ochoa-Reyes, JM Tirado-Gallegos, DG
Martínez-Vázquez (2020). Changes in oxidative stability, composition and
physical characteristics of oil from a non-conventional source before and after
processing. Rev Mexic
Ingen Quím 19:1389‒1400
Hull R
(2001). Matthews' Plant Virology, Vol. 1, pp:98‒99. Academic Press San Diego, California, USA
Ilyas M, I
Amin, S Mansoor, RW Briddon, M Saeed (2011). Challenges for transgenic
resistance against geminiviruses. In:
Emerging Geminiviral Diseases and their Management,
pp:1–35. Sharma P, RK Gaur, M Ikegami (Eds). Nova Science Publishers, New York,
USA
Johnson J
(2000). A heuristic method for estimating the relative weight of predictor
variables in multiple regression ession. Multivar
Behav Res 35:1‒19
Joshi, RS, VS Gupta, AP Giri (2014). Differential
antibiosis against Helicoverpa armigera
exerted by distinct inhibitory repeat domains of Capsicum annuum proteinase inhibitors. Phytochemistry 101:16‒22
Keshavareddy G, ARV Kumar, VS Ramu (2018). Methods of plant
transformation – A review. Int J Curr
Microbiol Appl Sci 7:2656–2668
Khatoon S, A Kumar, NB Sarin, JA Khan (2016).
RNAi-mediated resistance against Cotton leaf curl disease in elite Indian
cotton (Gossypium hirsutum). Virus Genes 52:530–537
Liu Y, M Schiff, R
Marathe, SP Dinesh‐Kumar (2002). Tobacco Rar1, EDS1 and NPR1/NIM1
like genes are required for N‐mediated resistance to tobacco mosaic virus. Plant J 30:415–429
Mansoor
S, RW Briddon, Y Zafar, J Stanley (2001). Geminivirus
disease complexes: An emerging threat.
Trends Plant Sci 8:128‒134
Mittler R, E Blumwald (2010)
Genetic engineering for modern
agriculture: Challenges and
perspectives. Plant Cell 10:461–473
Oerke EC,
HW Dehne (2004). Safeguarding production-losses in major crops and the role of
crop protection. Crop Prot 23:275–285
Retnosari A, S Widyaningrum, WN
Hidayati, WD Sawitri, N Darsono, T Hase, B Sugiharto (2018). Full sequence of
the coat protein gene is required for the induction of pathogen-derived
resistance against sugarcane mosaic virus in transgenic sugarcane. Mol Biol Rep 45:2749–2758
Raza S, FU Yousaf, Rajer (2016). Plant growth promoting activity of volatile organic compounds produced by
bio-control strains. Sci Lett 4:40–43
Rojo-Gutiérrez E, JJ Buenrostro-Figueroa, R
Natividad-Rangel, R Romero-Romero, DR Sepúlveda, R Baeza-Jiménez (2020). Effect
of different extraction methods on cottonseed oil yield. Rev
Mexic Ingen Quím 1:385–394
Rufell
MR, C Hagen, WJ Lucas, RL Gilbertson (2002). Exploiting chinks in the plant's
armor: Evolution and emergence of geminiviruses. Ann Rev Phytopathol 43:361–394
Saha T, A
Kumar, M Ravindran, C Jacob, B Roy, M Nazeer (2002). Indentification of Colletotrchum
acutatum from rubber using random amplified poly,orphic
DNAs and ribosomal
Singh AK, RC Bharati, A Pedpati (2013).
An assessment of faba bean (Vicia faba
L.) current status and future prospect. Afr
J Agric Res 8:6634–6641
Ulloa L, D Messmer (2006). High-mobility group box 1
(HMGB1) protein: Friend and
foe. Cytokin Growth Fact Rev
17:189–201
Verma MS, PZ Chen, L Jones, FX Gu (2014). “Chemical
nose” for the visual identification of emerging ocular pathogens using gold
nanostars. Biosens Bioelectr 61:386–390
Zhang XC, W Gassmann (2003). RPS4-mediated disease resistance requires
the combined presence of RPS4 transcripts with full length and truncated open
reading frames. Plant Cell 15:2333–2342