Standardization of PCR and sequencing-based methods for the detection of the presence of
CP4 EPSPS
gene in
Zea mays
Carlos Humberto Chamone Cangussu
1
, Léia Cardoso
2
, Alessandra Rejane Ericsson de Oliveira Xavier
3
*, Josiane dos Santos
4
,
Luiz Felipe Lopes Campos
5
, Murilo Malveira Brandão
6
, Denys Cunha Fonseca Garcia
7
, Alexandre Moisés Ericsson de Oliveira
8
,
Evandrei Santos Rossi
9
, Mauro Aparecido de Sousa Xavier10
10
DOI: https://doi.org/10.35699/2447-6218.2020.19990
Abstract
With the rise in planting of transgenic cultivars in Brazil as well as worldwide, the demand for legal regulations has increased.
The transgenic event MON88017 is often found in maize cultivars marketed in Brazil. The event contains the CP4 EPSPS and
cry3Bb1 genes, which encode tolerance to the herbicide glyphosate and resistance to caterpillars, respectively. Globally,
methodologies to track transgenic events are mandatory. The objective of this study was to standardize a method based on
qualitative PCR and sequencing for detection of the CP4 EPSPS gene in Zea mays. DNA was extracted from three
commercial strains of transgenic maize, containing the MON88017 event, as well as conventional maize. Primers were
designed for partial detection of the zein and CP4 EPSPS genes. PCR reactions were performed for detection of partial regions
of CP4 EPSPS and Zein (as endogenous marker of Z. mays) genes. The three transgenic maize inbred lines tested positive for
Zein and CP4 EPSPS, and the two conventional strains tested negative for CP4 EPSPS and positive for the Zein gene. To
confirm the presence of the genic regions, PCR products were sequenced and showed 100% identity with sequences of Zein
and CP4 EPSPS genes deposited in GenBank. Thus, the results of this study suggest the applicability of an ‘in-house’ method
for the qualitative detection of CP4 EPSPS in genetically modified maize cultivars.
Keywords:
Genetically modified organisms. MON88017. Detection. Maize
1State University of Montes Claros, Montes Claros, MG, Brazil.
https://orcid.org/0000-0002-4487-6130.
2State University of Montes Claros, Montes Claros, MG, Brazil.
https://orcid.org/0000--0002-4605-6160.
3State University of Montes Claros, Montes Claros, MG, Brazil.
https://orcid.org/0000-0001-8558-4196.
4State University of Montes Claros, Montes Claros, MG, Brazil.
https://orcid.org/0000-0002-9406-5918.
5State University of Montes Claros, Montes Claros, MG, Brazil.
https://orcid.org/0000-0002-0622-9805.
6State University of Montes Claros, Montes Claros, Minas Gerais, Brazil.
https://orcid.org/000-003-1238-1042.
7State University of Montes Claros, Montes Claros, Minas Gerais, Brazil.
https://orcid.org/0000-0003-1513-9390.
8Federal University of Uberlândia, Uberlândia, Minas Gerais, Brazil.
https://orcid.org/0000-0001-8162-9174.
9Shull Seeds Ltda, Ribeirão Preto, São Paulo, Brazil.
https://orcid.org/0000-0003-1697-4048.
10State University of Montes Claros, Montes Claros, MG, Brazil.
https://orcid.org/0000-0002-0512-1616.
*Corresponding author: ericsson_aerc@yahoo.com.br
Recebido para publicação em 11 de abril de 2020. Aceito para publicação em 30 de abril de 2020.
e-ISSN: 2447-6218 /
ISSN: 2447-6218. Atribuição CC BY.
CADERNO DE CIÊNCIAS AGRÁRIAS
Agrarian Sciences Journal
2
Cangussu, C. H. C. et al.
Padronização de todo baseado em PCR e sequenciamento para detecção da presença do
gene CP4 EPSPS
em Zea mays
Resumo
O plantio de cultivares transgênicas no Brasil e no mundo tem crescido e demandado regulamentação legal. O evento
transgênico MON8807 é frequentemente encontrado em cultivares de milho comercializadas no Brasil. Esse evento contém
em sua construção os genes CP4 EPSPS e Cry3Bb1 que codificam, respectivamente, a tolerância ao herbicida glifosato e
resistência a lagartas. Metodologias que permitam o rastreamento de eventos transgênicos são globalmente mandatórias. O
objetivo deste trabalho foi padronizar uma metodologia baseada em PCR qualitativo e sequenciamento para detecção do gene
CP4 EPSPS em Zea mays. Para tal linhagens comerciais de milho transgênico contendo o evento MON88017 e milho
convencional foram submetidas ao procedimento de extração de DNA. Foram desenhados oligonucleotídeos para detecção
parcial dos genes zeína e CP4 EPSPS. A reação de PCR para detecção das regiões parciais dos genes CP4 EPSPS e zeína (como
marcador endógeno da espécie Z. mays) foi então realizada. As três linhagens transgênicas de milho testaram positivo para os
genes Zeína e CP4 EPSPS, bem como as duas linhagens convencionais testaram negativo para CP4 EPSPS e positivas somente
para o gene Zeína. A confirmação da presença das regiões gênicas, os produtos de PCR foram sequenciados e apresentaram
100% de identidade com sequência dos genes Zeína e CP4 EPSPS depositados no GenBank. Os resultados deste trabalho
sugerem a aplicabilidade de um método in house para detecção qualitativa do gene CP4 EPSPS em cultivares de milho
geneticamente modificado.
Palavras-chave:
Organismos Geneticamente Modificados. MON8807. Detecção. Milho.
Introduction
MON88017 contains two important expression proteins in the
genome: CP4 EPSPS (CP4 5-5-enolpyruvylshikimate-
-3-phosphate) that originated from Agrobacterium tume-
faciens and Cry3Bb1 from Bacillus thuringiensis (ISAAA,
2018). The event presents a genetic construction formed
by a
regulating region, P-E35S (constitutive promoter of the
CaMV 35S gene), a coding region for the CP4 EPSPS
protein, and a terminator region, 3’IN (nopaline synthase)
(K
ö
nig et al., 2004; Miaw, 2014). As the genes are present
in
the same segment of DNA and occur in a single locus in the
genome, it provided improved efficiency in plant
reproduction and allowed the use of molecular markers to
identify transgenic genes (Conceição et al., 2006).
Maize (Zea mays) makes out the largest volume of
cereal production in the world. Between the years
2018 and
2019, approximately 17,255.6 million hectares
of maize were
planted globally (CONAB, 2019). A large variety is
observed among maize cultivars, for example, in the harvest
of 2016/17 approximately 315 cultivars of corn, of which
214 were transgenic and 101 were conventional, were
observed (Pereira-Filho et al., 2016; Tabima-Cubillos et al.,
2016). In Brazil, the planting of transgenic cultivars has
become very common since the
release of commercial strains.
Since 2009 the country has
been the second-largest producer
of transgenic grains in
the world. In 2017, there were
approximately 50.2 million
hectares of maize cultivated, and
31% of the total land area was used (Cardoso et al., 2018;
ISAAA, 2018).
As soon as they are released for planting and
marketing, all transgenic events must be liable to be de-
tected. In 2003, the Executive Power through the decree no.
4.680/2003, demanded the inclusion of information on the
labels of the packed products in bulk or in natura if it
contained more than 1% GMOs (Brasil, 2003).
Biotechnology has significantly improved maize
cultivars, mainly in relation to agronomic characteristics,
such
as providing tolerance to aerial and root pest car- riers as
well as tolerance to herbicides, in particular to glyphosate
(Fraiture et al., 2015). The genetic construc- tion used to
produce a Genetically Modified Organism (GMO) consists
of three regions: a promoter region, an
encoding gene, and a
terminator region (Wu et al., 2012). The MON88017 event,
obtained through the insertion of
the CP4 EPSPS and
Cry3Bb1 genes was the first product
developed and approved
by the company, Monsanto (now
Bayer), whose 2015/16
season produced 12 cultivars (Cruz et al., 2015).
Compliance with the legislation that regulates
the
commercialization of food and ingredients containing
transgenic components is totally dependent on the sen-
sitivity and reliability of the detection and quantification
methods (Conceição et al., 2006). GMOs are characterized
by
the presence of one or more segments of exogenous
DNA,
which may or may not provide the expression of new
proteins.
Thus, GMO detection is focused on exogenous DNA
sequences (via PCR-based methods) or transgenic proteins
(via immunoassays, ELISA, and Western blot analysis)
(König et al., 2004).
In Brazil, commercialization of the MON88017
event was approved by the National Technical Commis- sion
on Biosafety (CTNBio) in 2010 for planting as well as
human and animal consumption (ISAAA, 2018). As a bearer
of the Roundup Ready Technology (VT PRO3TM),
Qualitative and quantitative PCR detection me-
thods, which use DNA to monitor genetically modified
crops and their derivatives, are widely used mainly for
the
characteristics or stability of DNA. Protein expression
Cad. . Ciên. Agrá., 12, 1-9. https://doi.org/10.35699/2447-6218.2020.19990
3
Standardization of PCR and sequencing-based methods for the detection of the presence of
CP4 EPSPS
gene in
Zea mays
may vary depending on the age, variety, environmental
conditions, or even the industrial processes used for the
manufacturing of oils, syrups, and other products
(Cardarelli et al., 2005; Forte et al., 2005; Holst-Jensen et
al., 2003).
and the mixture was stored at -20°C for 24 hours. After
24
hours, the microtubes were centrifuged at 14000 rpm for 10
minutes and the pellet was washed with 700 µL of 70%
ethanol. The pellet containing the nucleic acids was
then
resuspended in 20 µL of TE buffer (10 mL Tris-HCl 10 mM
pH 8.0, 2 mL EDTA 1 mM) and 1 µL of RNase A 20 mg/mL
and stored at -20°C. The nucleic acids were quantified by
1.0% agarose gel electrophoresis and used in PCR reactions.
Real-time quantitative PCR can be used to detect or
quantify GMO fractions in food products. On the other hand,
qualitative PCR is required for large-scale screening,
when
large numbers of negative samples are expected, and it is
also used for GMO identification (Gašparič et al., 2010).
According to Heide et al. (2008), high levels
of GMOs in
samples produced signals of greater strength
than low levels of
GMOs. The objective of this study was to standardize a
method based on qualitative PCR and sequencing for the
detection of the CP4 EPSPS gene in
Z. mays.
Design of genetic markers for
Zein
and
CP4 EPSPS
genetic regions
Two pairs of PCR-specific primers were used:
(1) Zeo-F/Zeo-R for detection of the Zein maize gene as
described by Cardarelli et al. (2005) with modifications
(Table 1). The sequences of the primers were confirmed with
the sequence of the Zein gene (Genbank accession no.
M23537.1); (2) CP4F/CP4R for detection of the CP4 EPSPS
gene (transgenic event MON88017) as described by Wu et
al. (2012) with modifications (Table 1). The primer
sequences were confirmed with the sequence of
the CP4
EPSPS gene (Genbank accession no. AB209952.1). All primers
were synthesized by GenOne Biotechnologies
(Rio de Janeiro,
Brazil).
Materials and Methods
Obtaining leaf tissue
Three commercial transgenic maize cultivars with
the
presence of the event MON88017 were used: dkb
230PRO3, dkb 240PRO3, and dkb 177 PRO3, and two
conventional maize cultivars: SS7088 and SS8021, kindly
provided by Shull Seeds Ltd. The seeds were planted in a
substrate Bioplant (Bioplant Blender Agricola Ltd.),
kept at
ambient conditions of light and temperature, and
watered
daily. After 10 days, the seedlings were used as a source of
leaf tissue for DNA extractions.
Qualitative PCR for detection of Zein and CP4 EPSPS
genes
The presence of the Zein (an endogenous mar- ker
of Z. mays) and CP4 EPSPS genes (a marker for the
transgenic event MON88017) was verified with the pri- mers
listed in Table 1. The reactions were carried out in a
mixture containing 2x GoTaq® Green Master Mix (Promega
Corporation, USA), 1.5 M MgCl2, 10 µM of
each primer,
and 50 ng of DNA with a total reaction volume of 50 µl. The
amplification conditions
for both
Zein and CP4 EPSPS genes
were as follows: an initial cycle
of denaturation at 95°C for 2
minutes, followed by 35 cycles of denaturation at 95°C for
2 minutes, annealing temperature at 60°C for 50 seconds,
extension at 72°C for 1 minute, and final extension for 10
minutes. The
amplicons were visualized on a 1.5% agarose
gel, stained
with ethidium bromide and documented.
DNA extraction
The DNA of the transgenic and conventional cul-
tivars was extracted from leaf tissue according to the me- thod
of Doyle and Doyle (1990) with some modifications.
Fifty
milligrams of leaves of each cultivar were weighed,
transferred to a crucible containing 0.2 g of autoclaved sand,
and macerated with a pistil. During maceration, 2 mL of
5% cetyltrimethylammonium bromide (CTAB) buffer, 2
µL/mL of 2-mercaptoethanol, 100 mM TrisHCl (pH 8.0), 1
mg/mL proteinase K, 20 mM EDTA, 100 mM
polyvinylpyrrolidone, and 1.4 M NaCl were added. One
milliliters of the macerate obtained were transferred to 2 mL
microtubes and vortexed for 10 seconds, followed by
incubation in a water bath at 70°C for 1 hour. Every
10
minutes the microtubes were removed from the water
bath and
agitated again with a vortex mixer to induce rupturing of
the cell walls. For DNA extraction, 700 µL of
chloroform:isoamyl alcohol (24:1) was added to the mixture
and homogenized in the vortex mixer for 10 minutes. Then
the samples were centrifuged at 14000 rpm for 10 minutes
and the supernatant was transferred to a new microtube. To
each microtube, 55 µL of 10% CTAB (10% CTAB, 1.4 M
NaCl) and 700 µL chlorofor- m:isoamyl alcohol (24:1) was
added and homogenized with a vortex mixer for 10 minutes.
Then the samples were centrifuged at 14000 rpm for 10
minutes, 700 µL of ice cold isopropanol was added to the
supernatant,
Sequencing of PCR products of Zein and CP4 EPSPS
genes
The PCR products (amplicons of 325 bp and 610
bp
corresponding to Zein and CP4 EPSPS, respectively) were
sequenced by the Sanger method (Ludwig Biotech Ltd., RS,
Brazil - ACTGene Análises Moleculares Ltd.) with the
primers described in Table 1. In order to ob- tain the
amplified sequence, the sequences were aligned with Clustal
Omega software (European Bioinformatics Institute -
https://www.ebi.ac.uk/Tools/msa/clustalo/) and differences
were visualized on electropherograms (Chromas v.2.6.5 -
www.technelysium.com.au) and cor- rected. After obtaining
the amplified sequence, it was used to perform BLASTn
searches (https://blast.ncbi.
Cad. . Ciên. Agrá., 12, 1-9. https://doi.org/10.35699/2447-6218.2020.19990
4
Cangussu, C. H. C. et al.
nlm.nih.gov/Blast.cgi?PAGE_TYPE=BlastSearch). After the
blast searches, the obtained sequences were aligned with
BLASTn sequences with Clustal Omega software
(European Bioinformatics Institute (https://www.ebi.
ac.uk/Tools/msa/clustalo/).
Table 1 Sequences and information related to the primers for partial detection of Zein and CP4 EPSPS genes in strains of Zea
mays
Gene
Position
Primer
Sequence (5’- 3’)
Amplicon Size (PB)
Reference
Zein
Zeo-F
TGCATTGTTCGCTCTCCTA
G
107 - 432
325
This study
(EU952871.1)
Zeo-R
CP4-F
GTCGCAGTGACATTGTGGC
AT
CCTCGTCGGGGTCTACGA
CP4 EPSPS
(KX640115.1)
2270 - 2880
610
This study
CP4-R
CAGCGTGGAGGAGCGAA
C
Results and Discussion
chosen for the design of the primers. The PCR reaction
for
Zein gene detection proved to be positive for the three
analyzed
DNA samples of transgenic Z. mays, since the expected
fragment of 325 bp was amplified (Figure 1). An amplicon
of the same size was also obtained for the two DNA samples
of non-transgenic Z. mays (data not shown).
For this study, commercial transgenic maize seeds that
are sold at local markets were purchased in two cities
in the
north of Minas Gerais State, Brazil. Conventional maize
seeds were kindly donated by the company, Se- mentes
Shull Ltd.
The rationale for obtaining DNA samples from
leaf tissue was based on previous experience of our re-
search group that tested different protocols that used seeds
and distinct DNA extraction methods for Z. mays and
Glicine max (Campos et al., 2018). In this study, the
DNA
samples of seedlings of five different maize cultivars
extracted
with the modified methodology of Doyle and
Doyle (1990)
presented the characteristic profile of bands
with satisfactory
quality to proceed with PCR analyses.
PCR-based screening methods aimed at detecting
genetic elements commonly used in genetically modified
plants are important tools for the detection of food, feed,
and
transgenic seeds samples. The CP4 EPSPS gene is
present
in a large number of transgenic plants, including
Z. mays (Anklam et al., 2002; Matsuoka et al., 2002; Heck
et al., 2005; Marmiroli et al., 2008; Vidal et al., 2015).
In order to establish an ‘in-house’ method for the
detection of the CP4 EPSPS gene in transgenic maize, the
primers CP4-F and CP4-R were designed (Table 1). The
nucleotide sequence corresponding to the CP4 EPSPS gene
was
obtained from GenBank (access no. KX640115.1).
The
regions that comprise the nucleotides 2270 and 2880
of the
CP4 EPSPS gene were chosen for the design of the primers.
The PCR reaction performed for detection of the CP4
EPSPS gene among the three transgenic maize
samples, was
positive, once the expected fragment of 610
bp was amplified
and there was no amplification for the two conventional
maize samples (Figure 1).
Difficulties in the reproducibility of protocols for
DNA extraction from plant species that hinder molecular
studies that directly depend on the quality of extraction of
nucleic acids were discussed in the literature. The presence
of polysaccharides, phenols, and secondary
compounds, is
the main challenge faced in DNA isolation and purification due
to the inhibition of Taq polymerase
activity in PCR reactions
(Mazza and Bittencourt, 2000; Vieira et al., 2010; Sika et al.,
2015; Abdel-Latif and Osman, 2017).
To evaluate the quality of the extracted DNA and
to genetically confirm the Z. mays species among analyzed
samples, the Zeo-R and Zeo-F primers were designed
(Table 1).
Several studies have described the PCR method as
fast and safe for the identification of transgenic maize through
the use of specific primers (Hernández et al., 2003; James
et al., 2003; Germini et al., 2004; Onishi et al., 2005; Kim
et al., 2006). According to Michelini et al. (2008) and Zhang
and Guo (2011), PCR is the most widely used technique
for CP4 EPSPS gene detection in maize cultivars, owing to
its high sensitivity, genetic stability, and presence in
different cultivars.
The Zein gene is described in the literature as a
marker of Z. mays. The full or partial gene regions have been
used for the construction of primers for genotypic
confirmation of Z. mays (Meyer, 1999; Höhne et al., 2002;
Matsuoka et al., 2002; Yamaguchi et al., 2003; Cardarelli
et
al., 2005; Nascimento et al., 2010; Dinon et al., 2011;
Wu et
al., 2012). In this study, partial region primers were
designed
for the Zein gene based on the gene sequence
deposited in
Genbank (accession number EU952871). The
regions
comprising the nucleotides 107 and 439 were
According to Holst-Jensen et al. (2012) and Broe- ders
et al. (2012), the use of this method to identify diffe-
rent types
of maize with primers specific for CP4 EPSPS, Bar,
Cry1A(b), and/or Pat genes is of great importance,
Cad. . Ciên. Agrá., 12, 1-9. https://doi.org/10.35699/2447-6218.2020.19990
5
Standardization of PCR and sequencing-based methods for the detection of the presence of
CP4 EPSPS
gene in
Zea mays
because these genes are present in a variety of cultivars of
maize and soya worldwide.
Figure 1 Detection of Zein and CP4 EPSPS genes by the PCR method on 1.5% agarose gel.
M
M
1 1
2
3
4
5
6
2
3
4
5
6
7
8
9
10
2000
1500
1000
700
600
500
400
300
200
100
gene
cp4-epsps
610pb
gene zeina
325pb
M: marker of molecular mass 100pb (Ludwig Biotecnologia). The Zein gene amplicon of 325 pb amplified in samples 1 to 3: Line 1: dkb230PRO3, Line 2: dkb
240PRO3 and Line3 dkb 177PRO3. The CP4 EPSPS gene amplicon of 610pb amplified in samples 4 to 7: Line 4: dkb230PRO3, Line 5: dkb 240PRO3, Line
6: dkb 177PRO3 and Line 7: dkb177PRO3 (positive control). Line 8: SS7088 and Line 9: SS8021, two conventional cultivars did not present the CP4 EPSPS
amplicon as expected. Line 10: sterile water (negative control).
Milavec et al. (2014) showed that using pairs of
primers for regulatory regions or inserted genes are more
important for obtaining an effective transgenic screening
assay. Matsuoka et al. (2002) developed a method using
multiple pairs of DNA primers (including genic regions,
promoters or terminators) to effectively identify transgenic
events.
transgenic samples analyzed here, we decided to sub- mit
the PCR products from one of the three cultivars of
transgenic Z. mays (dkb 177 PRO3) for sequencing of the
amplified region. The rationale for this is based on the
objective to establish a robust and reliable methodology for
transgenic screening in Z. mays cultivars.
Database alignment analysis of the sequenced 325
bp
PCR product corresponding to the partial Zein gene
(dkb
177 PRO3) proved to be identical (100% identity) to a cDNA
sequence of Zein described in Genbank accession
number
EU952871.1 (Figure 2).
James et al. (2003) were able to detect transgenic
soybeans with multiplex PCR analysis using three pairs of
primers specific for the CP4 EPSPS gene, 35S promoter, and
NOS terminator, along with two pairs of primers specific
for soy targeting soy lecithin and -actin genes.
The
procedure was able to distinguish the non-transgenic
soybeans
from transgenic soybeans with certainty.
Similarly, database alignment analysis of the
sequenced PCR product of 610 bp corresponding to the
partial gene CP4 EPSPS (CP4 EPSPS dkb 177 PRO3)
proved to be identical (100% identity) to a sequence of a
transgenic cultivar of Z. mays lineage transgenic culti- var
NK603 containing the CP4 EPSPS gene described in
Genbank (KX640115.1) (Figure 3).
Forte et al. (2005) developed a molecular scree-
ning
method through multiplex PCR and amplification of
specific
sequences of soybeans or the 35S promoter and NOS
terminator for the detection of transgenic events.
Nikolet
al. (2008) investigated triplex PCR methods for the
identification of the lecithin and Zein genes, through the
amplification of the 35S promoter and NOS terminator for the
detection of genetically modified soya and maize,
further
illustrating the effectiveness of the methodology.
The availability of gene sequences of crops of
agronomic value, along with the advancement of genetic
sequencing, has made it possible to predict and isolate
regulatory regions of any region inserted into a genome,
facilitating the screening of transgenic events (Schmutz et
al., 2010; Tran and Mochida, 2010).
Although PCR amplification of the Zein and CP4
EPSPS gene regions was successfully achieved in the
Cad. . Ciên. Agrá., 12, 1-9. https://doi.org/10.35699/2447-6218.2020.19990
6
Cangussu, C. H. C. et al.
Figure 2 Alignment of the sequence obtained from the amplicon of 325 bp of the partial Zein gene of the lineage of
transgenic maize dkb 177 PRO3 (Zein dkb 177PRO3). The asterisks indicate the identical nucleotides between
Zein dkb 177PRO3 and the cDNA of Zein of Zea mays Genbank accession number EU952871.1.
Zein dkb 177PRO3
EU952871.1
0
60
AAATAGGACCTGCTAGATCAATCGCAGTCCATCGGCCTCAGTCGCACATATCTACTATAC
Zein dkb 177PRO3
EU952871.1
TGCATTGTTCGCT
13
120
TATACTCTAGGAAGCAAGGACACCACCGCCATGGCAGCCAAGATGCTTGCATTGTTCGCT
*************
Zein dkb 177PRO3
EU952871.1
CTCCTAGCTCTTTGTGCAAGCGCCACTAGTGCGACCCATATTCCAGGGCACTTGCCACCA
CTCCTAGCTCTTTGTGCAAGCGCCACTAGTGCGACCCATATTCCAGGGCACTTGCCACCA
************************************************************
73
180
Zein dkb 177PRO3
EU952871.1
GTCATGCCATTGGGTACCATGAACCCATGCATGCAGTACTGCATGATGCAACAGGGGCTT
GTCATGCCATTGGGTACCATGAACCCATGCATGCAGTACTGCATGATGCAACAGGGGCTT
************************************************************
133
240
Zein dkb 177PRO3
EU952871.1
GCCAGCTTGATGGCGTGTCCGTCCCTGATGCTGCAGCAACTGTTGGCCTTACCGCTTCAG
GCCAGCTTGATGGCGTGTCCGTCCCTGATGCTGCAGCAACTGTTGGCCTTACCGCTTCAG
************************************************************
193
300
Zein dkb 177PRO3
EU952871.1
ACGATGCCAGTGATGATGCCACAGATGATGACGCCTAACATGATGTCACCATTGATGATG
ACGATGCCAGTGATGATGCCACAGATGATGACGCCTAACATGATGTCACCATTGATGATG
************************************************************
253
360
Zein dkb 177PRO3
EU952871.1
CCGAGCATGATGTCACCAATGGTCTTGCCGAGCATGATGTCGCAAATGATGATGCCACAA
CCGAGCATGATGTCACCAATGGTCTTGCCGAGCATGATGTCGCAAATGATGATGCCACAA
************************************************************
313
420
Zein dkb 177PRO3
EU952871.1
TGTCACTGCGAC
325
480
TGTCACTGCGACGCCGTCTCGCAGATTATGCTGCAACAGTAGTTACCATTCATGTTCAAC
************
Zein dkb 177PRO3
EU952871.1
325
540
CCAATGGCCATGACGATTCCACCCATGTTCTTACAGCAACCCTTTGTTGGTGCTGCATTC
Zein dkb 177PRO3
EU952871.1
325
600
TAGATAGAAATATTTGTGTTGTACCGAATAATGAGTTGACATGCCATCGCGTGTGACTCA
Zein dkb 177PRO3
EU952871.1
325
646
TTATTAACAATAAAACAAGTTTCCTCTTAAAAAAAAAAAAAAAAAA
Conclusion
Acknowledgements
In this study we designed and tested primers
specific to detect zein and CP4 EPSPS genes in Zea mays
based on literature and sequences available in Genbank.
The
qualitative “in house” PCR and sequenced amplicons showed
to be a reliable method for tracking the presence
of CP4
EPSPS transgenic gene marker in Zea mays due to its
robustness, sensitivity, and specificity. Further studies
should
include the gene marker frequency, others markers
used in Z.
mays and others cultivars as soya and cotton as well as the
development of qualitative and quantita- tive methodologies
to confirm the presence of them in transgenic crops or
transgenic food.
To Brazilian National Council for Scientific and
Technological Development (CNPq), Research Supporting
Foundation of Minas Gerais State (FAPEMIG) and Post-
graduate Program in Biotechnology of State University of
Montes Claros (Unimontes).We would like to thank
Editage
(www.editage.com) for English language editing.
Authors’ contributions
A.R.E.O.X. and M.A.S.X. conceived designed the
study. C.H.C.C., J.S., L.C., L.F.L.C., M.N.B., D.C.F.G.
carried out the experiments. C.H.C.C., A.M.E.O., E.S.R.,
A.R.E.O.X. and M.A.S.X analyzed the data. C.H.C.C.,
A.R.E.O.X. and M.A.S.X. wrote the manuscript. All authors
read and approved the final manuscript.
Cad. . Ciên. Agrá., 12, 1-9. https://doi.org/10.35699/2447-6218.2020.19990
7
Standardization of PCR and sequencing-based methods for the detection of the presence of
CP4 EPSPS
gene in
Zea mays
Figure 3 Alignment of the sequence obtained from the amplicon of 610 bp of partial CP4 EPSPS gene of the lineage of
transgenic maize dkb 177PRO3 (CP4 EPSPS dkb 177PRO3). The asterisks indicate the identical nucleotides
between CP4 EPSPS dkb 177PRO3 and transgenic cultivar of Zea mays L. line NK603 containing the CP4 EPSPS
gene described in Genbank accession number KX640115.1.
CP4-EPSPS
KX640115.1
dkb 177PRO3
CCTCGTCGGG
10
2280
GCGCCGCTCGATTTCGGCAATGCCGCCACGGGCTGCCGCCTGACGATGGGCCTCGTCGGG
**********
CP4-EPSPS
KX640115.1
177PRO3
GTCTACGATTTCGACAGCACCTTCATCGGCGACGCCTCGCTCACAAAGCGCCCGATGGGC
GTCTACGATTTCGACAGCACCTTCATCGGCGACGCCTCGCTCACAAAGCGCCCGATGGGC
************************************************************
70
2340
CP4-EPSPS
KX640115.1
dkb
177PRO3
CGCGTGTTGAACCCGCTGCGCGAAATGGGCGTGCAGGTGAAATCGGAAGACGGTGACCGT
CGCGTGTTGAACCCGCTGCGCGAAATGGGCGTGCAGGTGAAATCGGAAGACGGTGACCGT
************************************************************
130
2400
CP4-EPSPS
KX640115.1
dkb
177PRO3
CTTCCCGTTACCTTGCGCGGGCCGAAGACGCCGACGCCGATCACCTACCGCGTGCCGATG
CTTCCCGTTACCTTGCGCGGGCCGAAGACGCCGACGCCGATCACCTACCGCGTGCCGATG
************************************************************
190
2460
CP4-EPSPS
KX640115.1
dkb
177PRO3
GCCTCCGCACAGGTGAAGTCCGCCGTGCTGCTCGCCGGCCTCAACACGCCCGGCATCACG
GCCTCCGCACAGGTGAAGTCCGCCGTGCTGCTCGCCGGCCTCAACACGCCCGGCATCACG
************************************************************
250
2520
CP4-EPSPS
KX640115.1
dkb
177PRO3
ACGGTCATCGAGCCGATCATGACGCGCGATCATACGGAAAAGATGCTGCAGGGCTTTGGC
ACGGTCATCGAGCCGATCATGACGCGCGATCATACGGAAAAGATGCTGCAGGGCTTTGGC
************************************************************
310
2580
CP4-EPSPS
KX640115.1
dkb
177PRO3
GCCAACCTTACCGTCGAGACGGATGCGGACGGCGTGCGCACCATCCGCCTGGAAGGCCGC
GCCAACCTTACCGTCGAGACGGATGCGGACGGCGTGCGCACCATCCGCCTGGAAGGCCGC
************************************************************
370
2640
CP4-EPSPS
KX640115.1
dkb
177PRO3
GGCAAGCTCACCGGCCAAGTCATCGACGTGCCGGGCGACCCGTCCTCGACGGCCTTCCCG
GGCAAGCTCACCGGCCAAGTCATCGACGTGCCGGGCGACCCGTCCTCGACGGCCTTCCCG
************************************************************
430
2700
CP4-EPSPS
KX640115.1
dkb
177PRO3
CTGGTTGCGGCCCTGCTTGTTCCGGGCTCCGACGTCACCATCCTCAACGTGCTGATGAAC
CTGGTTGCGGCCCTGCTTGTTCCGGGCTCCGACGTCACCATCCTCAACGTGCTGATGAAC
************************************************************
490
2760
CP4-EPSPS
KX640115.1
dkb
177PRO3
CCCACCCGCACCGGCCTCATCCTGACGCTGCAGGAAATGGGCGCCGACATCGAAGTCATC
CCCACCCGCACCGGCCTCATCCTGACGCTGCAGGAAATGGGCGCCGACATCGAAGTCATC
************************************************************
550
2820
CP4-EPSPS
KX640115.1
dkb
177PRO3
AACCCGCGCCTTGCCGGCGGCGAAGACGTGGCGGACCTGCGCGTTCGCTCCTCCACGCTG
AACCCGCGCCTTGCCGGCGGCGAAGACGTGGCGGACCTGCGCGTTCGCTCCTCCACGCTG
************************************************************
610
2880
CP4-EPSPS
KX640115.1
dkb
177PRO3
610
2940
AAGGGCGTCACGGTGCCGGAAGACCGCGCGCCTTCGATGATCGACGAATATCCGATTCTC
References
Abdel-Latif, A.; G. Osman. 2017. Comparison of three genomic DNA
extraction methods to obtain high DNA quality from maize. Plant
Methods, 13: 19. Doi: https://doi.org/10.1186/s13007-016-0152-4.
Broeders, S. R. M.; De Keersmaecker, S. C. J.; Roosens, N. H. C. 2012. How
to Deal with the Upcoming Challenges in GMO Detection in Food and Feed.
Journal of Biomedicine and Biotechnology, 2012: 1-11. Doi:
https://doi.org/10.1155/2012/402418.
Anklam, E.; Gadani, F.; Heinze, P.; Pijnenburg, H.; Den Van Eede, G.
2002. Analytical methods for detection and determination of genetically
modified organisms in agricultural crops and plant-derived food products.
European Food Research and Technology, 214: 326. Doi:
https://doi.org/10.1007/s002170100415.
Campos, L. F. L.; Silva, A. N. M.; David,M. E. D. dos Santos, J.; Cangussu,
C. H. C.; Xavier, M. A. S.; Xavier, A. R. E. O. 2018. Eficiência de métodos de
extração de DNA de tecido foliar de espécies transgênicas de Glycine
max e
Zea mays. Retrieved on April, 03, 2019. From: http://www.
fepeg2018.unimontes.br/anais/download/3324f215-d852-4a8c-8992-
b47182cce712.
Brasil MAPA - Ministério da Agricultura, Pecuária e Abastecimento.
2003. Decreto No. 4.680/2003: 12.
Cad. . Ciên. Agrá., 12, 1-9. https://doi.org/10.35699/2447-6218.2020.19990
8
Cangussu, C. H. C. et al.
Cardarelli, P.; Branquinho, M. R.; Ferreira, R. T. B.; da Cruz, F. P.; Gemal,
A. L. 2005. Detection of GMO in food products in Brazil: the INCQS
experience. Food Control, 16: 859866. Doi: https://doi.org/10.1016/j.
foodcont.2004.07.010.
Höhne, M.; Santisi, C. R.; Meyer, R. 2002. Real-time multiplex PCR: an
accurate method for the detection and quantification of 35S-CaMV
promoter
in genetically modified maize containing food. European Food
Research and
Technology, 215: 59-64. Doi: https://doi.org/10.1007/ s00217-002-0503-4.
Cardoso, L.; Cangussu, C. H. C.; Nogueira, H. S.; dos Santos, J.; Xavier,
M. A. S.; de Oliveira, A. M. E.; Albuquerque, C. J. B.; Xavier,
A. R. E. O. 2018. Métodos baseados na detecção de DNA para
rastreamento de modificações genéticas em cultivares transgênicos de
milho e soja. Caderno de Ciências Agrárias, 9: 101114. [online]. Acesso
em 24/04/2020. Disponível em: https://pdfs.semanticscholar.
org/7e54/34bb0f28066273f5aaf8e37a27f7ba3efbe3.pdf.
Holst-Jensen, A., S. B. Rønning, A. Løvseth and K. G. Berdal. 2003.
PCR
technology for screening and quantification of genetically modified organisms
(GMOs). Analyticaland Bioanalytical Chemistry 375: 98593. [online]. Acesso
em 24/04/2020. Disponível em: https://link.springer.
com/content/pdf/10.1007/s00216-003-1767-7.pdf.
Holst-Jensen, A., Y. Bertheau, M. de Loose, L. Grohmann, S. Hamels,
L. Hougs, D. Morisset, S. Pecoraro, M. Pla, M. Van den Bulcke and D.
Wulff. 2012. Detecting un-authorized genetically modified organisms
(GMOs) and derived materials. Biotechnology Advances, 30: 131835.
Doi:
https://doi.org/10.1016/j.biotechadv.2012.01.024.
Conceição, F. R.; Moreira, A. N.; Binsfeld, P. C. 2006. Detecção e
quantificação de organismos geneticamente modificados em alimentos
e
ingredientes alimentares. Ciência Rural, 36: 315-324. Doi: https://
doi.org/10.1590/S0103-84782006000100053.
Cruz, J. C.; Pereira-Filho, I. A.; Borghi, E.; Simão, E. P. 2015. Quatrocentas
e
setenta e sete cultivares de milho estão disponíveis no mercado de
sementes do Brasil para a Safra 2015/16. Embrapa Milho e Sorgo, 1: 1
29. [online]. Acesso em 24/04/2020. Disponível em: https://
www.infoteca.cnptia.embrapa.br/infoteca/bitstream/doc/1038512/1/
doc184.pdf.
ISAAA, 2018. Event Name: MON88017. Retrieved on April, 04, 2019.
From: http://www.isaaa.org/gmapprovaldatabase/event/default.
asp?EventID=94.
James, D.; Schmidt, A. M.; Wall, E.; Green, M.; Masri, S. 2003. Reliable
detection and identification of genetically modified maize, soybean and
canola
by multiplex PCR analysis. Journal of Agricultural and Food Chemistry,
51: 58395834. Doi: https://doi.org/10.1021/jf0341159.
Dinon, A. Z.; Prins, T. W.; Van Dijk, J. P.; Arisi, A. C. M.; Scholten, I.
M. J.; Kok, E. J. 2011. Development and validation of real-time PCR
screening methods for detection of cry1A.105 and cry2Ab2 genes in
genetically modified organisms. Analytical and Bioanalytical Chemistry,
400:
14331442. Doi: https://doi.org/10.1007/s00216-011-4875-9.
Kim, J. H.; Song, H. S.; Heo, M. S.; Lee, W. Y.; Lee, S. H.; Park, S. H.;
Park, H. K.; Kim, M. C.; Kim, H. Y. 2006. Detection of eight different
events of genetically modified maize by multiplex PCR method. Food
Science and Biotechnology, 15: 148151. [online]. Acesso em 24/04/2020.
Disponível em: http://www.koreascience.or.kr/article/
JAKO200609905801382.page.
Doyle, J. J.; Doyle, J. L. 1990. Isolation of plant DNA from fresh tissue.
Focus. 12: 13-15.
Forte, V. T.; Di Pinto, A.; Martino, C.; Tantillo, G. M.; Grasso, G.; Schena,
F. P. 2005. A general multiplex-PCR assay for the general detection of
genetically modified soya and maize. Food Control, 16: 535539. Doi:
https://doi.org/10.1016/j.foodcont.2004.05.010.
König, A.; Cockburn, A.; Crevel, R. W. R.; Debruyne, E.; Grafstroem, R.;
Hammerling, U.; Kimber, I.; Knudsen, I.; Kuiper, H. A.; Peijnenburg, A.
A. C. M.; Penninks, A. H.; Poulsen, M.; Schauzu, M.; Wal, J. M. 2004.
Assessment of the safety of foods derived from genetically modified
(GM)
crops. Food and Chemical Toxicology, 42:10471088. Doi: https://
doi.org/10.1016/j.fct.2004.02.019.
Fraiture, M. A.; Herman, P.; Taverniers, I.; De Loose, M.; Deforce, D.;
Roosens, N. H. 2015. Current and new approaches in GMO Detection:
challenges and solutions. Biomed Research International, 2015: 122. Doi:
http://dx.doi.org/10.1155/2015/392872.
Marmiroli, N.; Maestri, E.; Gullì, M.; Malcevschi, A.; Peano, C.; Bordoni, R.;
De Bellis. G. 2008. Methods for detection of GMOs in food and feed.
Analytical and Bioanalytical Chemistry, 392: 369384. Doi: https://
doi.org/10.1007/s00216-008-2303-6.
Gašparič, M. B.; Tengs, T.; La Paz, J. L.; Holst-Jensen, A.; Pla, M.; Esteve,
T;
Zel, J.; Gruden, K. 2010. Comparison of nine different real-time PCR
chemistries for qualitative and quantitative applications in GMO detection.
Analytical and Bioanalytical Chemistry, 396: 20232029. Doi:
https://doi.org/10.1007/s00216-009-3418-0.
Matsuoka, T.; Kuribara, H.; Takubo, K.; Akiyama, H.; Miura, H.; Goda, Y.;
Kusakabe, Y.; Isshiki, K.; Toyoda, M.; Hino, A. 2002. Detection of
recombinant DNA segments introduced to genetically modified maize
(Zea
mays). Journal of Agricultural and Food Chemistry, 50:2100-2109.
Doi:
https://doi.org/10.1021/jf011157t.
Germini, A.; Zanetti, A.; Salati, C.; Rossi, S.; Forre, C.; S. Schmid, S.;
Fogher, C.; Marchelli, R. 2004. Development of a seven-target multiplex
PCR
for the simultaneous detection of transgenic soybean and maize in feeds
and foods. Journal of Agricultural and Food Chemistry, 52: 32753280.
Doi: https://doi.org/10.1021/jf035052x.
Mazza, M. C. M.; Bittencourt, J. V. M. 2000. Extração de DNA de tecido
vegetal de Araucaria angustifolia (Araucariaceae). Boletim de Pesquisas
Florestais, 41:12-17. Disponível em: https://www.alice.cnptia.embrapa.
br/bitstream/doc/280588/1/mazza.pdf.
Heck, G. R.; Armstrong, C. L.; Astwood, J. D.; Behr, C. F.; Bookout, J. T.;
Brown, S. M.; You, J. 2005. Development and characterization of a CP4
EPSPS-based, glyphosate-tolerant corn event. Crop Science, 45: 329-339.
Doi: https://doi.org/10.2135/cropsci2005.0329.
Meyer, R. 1999. Development and application of DNA analytical methods
for
the detection of GMOs in food. Food Control, 10:391399. Doi:
https://doi.org/10.1016/S0956-7135(99)00081-X.
Heide, B. R.; Heir, E.; Holck. A. 2008. Detection of eight GMO maize
events by qualitative, multiplex PCR and fluorescence capillary gel
electrophoresis. European Food Resesarch and Technology, 227: 527- 535.
Doi: https://doi.org/10.1007/s00217-007-0751-4.
Miaw, C. S. W.; Amâncio, G.C.S.; Madeira, J. E. G. C.; Souza, S. V. C. 2014.
Métodos para detecção de soja Roundup Ready® em grãos e produtos de
soja por reação em cadeia da polimerase: revisão e análise crítica das
práticas de validação. Revista do Instituto Adolfo Lutz, 73:925. Doi:
https://doi.org/10.18241/0073-98552014731585.
Hernández, M.; Rodríguez-Lázaro, D.; Esteve, T.; Prat, S.; Pla, M. 2003.
Development of melting temperature-based SYBR™Green I polymerase
chain
reaction methods for multiplex genetically modified organism detection.
Analytical Biochemistry, 323: 164170. Doi: https://doi.
org/10.1016/j.ab.2003.07.015.
Michelini, E.; Simoni, P.; Cevenini, L.; Mezzanotte, L.; Roda, A. 2008.
New
trends in bioinalitical tools for the detection of genetically modified
organisms:
an update. Analytical and Bioanalytical Chemistry, 392: 355367. Doi:
https://doi.org/10.1007/s00216-008-2193-7.
Cad. . Ciên. Agrá., 12, 1-9. https://doi.org/10.35699/2447-6218.2020.19990
9
Standardization of PCR and sequencing-based methods for the detection of the presence of
CP4 EPSPS
gene in
Zea mays
Milavec, M.; Dobnik, D.; Yang, L.; Zhang, D.; Gruden, K.; Žel, J. 2014.
GMO quantification: valuable experience and insights for the future.
Analytical and Bioanalytical Chemistry, 406: 64856497. Doi: https://
doi.org/10.1007/s00216-014-8077-0.
Sika, C. K.; Kefela, T.; Adoukonou-Sagbadja, H.; Ahoton, L.; Saidou, A.;
Baba-Moussa, L.; Baptiste, L. J.; Kotconi, S. O.; Gachomo, E. W. 2015. A
simple and efficient genomic DNA extraction protocol for large scale
genetic
analyses of plant biological systems. Plant Gene, 1: 4345. Doi:
https://doi.org/10.1016/j.plgene.2015.03.001.
Nascimento, V. E.; Pinho, E. V. R. V.; Pinho, R. G. V.; Santos, B. C.; Pereira,
E. M.; Júnior, A. D. N. 2010. Especificidade e sensibilidade da técnica de
PCR para detecção de milho geneticamente modificado. XXVIII
Congresso Nacional de Milho e Sorgo Goiânia: Associação Brasileira de
Milho e Sorgo. CD-rom. Retrieved on September 15, 2019. From:
http://abms.org.br/eventos_anteriores/cnms2010/trabalhos/0361.pdf.
Tabima-Cubillos, L. Y.; Chaparro-Giraldo, A. Trujillo-Güiza, M. L. 2016.
Detección de proteínas transnicas en harinas de maíz comercializadas
en
Bogotá, Colômbia. Revista de Salud Publica, 18: 470-483. Doi:
http://dx.doi.org/10.15446/rsap.v18n3.46923.
Tran, L. S P.; Mochida, K. 2010. Functional genomics of soybean for
improvement of productivity in adverse conditions. Functional and
Integrative Genomics, 10: 447462. Doi: https://doi.org/10.1007/ s10142-
010-0178-z.
Nikolić, Z.; Milošević, M.; Vujaković, M.; Marinković, D.; Jevtić, A.;
Balešević-Tubić, S. 2008. Qualitative triplex PCR for the detection of
genetically modified soybean and maize. Biotechnology &
Biotechnological Equipment, 22: 801803. Doi: https://doi.org/10.
1080/13102818.2008.10817556.
Vidal, N.; Barbosa, H.; Jacob, S.; Arruda, M. 2015. Comparative study of
transgenic and non-transgenic maize (Zea mays) flours commercialized in Brazil,
focussing on proteomic analyses. Food Chemistry, 180: 288294.
Doi:
https://doi.org/10.1016/j.foodchem.2015.02.051.
Onishi, M.; Matsuoka, T.; Kodama, T.; Kashiwaba, K.; Futo, S.; Akiyama,
H.;
Maitani, T.; Furui, S.; Oguchi, T. Hino, A. 2005. Development of a
multiplex polymerase chain reaction method for simultaneous detection of
eight events of genetically modified maize. Journal of Agricultural and
Food
Chemistry, 53: 97139721. https://doi.org/10.1021/jf0515476.
Vieira, F. A.; Santana, J. A. S.; Santos, R. M.; Fajardo, G. C.; Coelho,
G. A. O.; Carvalho, D. 2010. Métodos de extração de DNA e seleção de
primers de cpDNA para Ficus bonijesulapensis (Moraceae). Revista
Caatinga, 23: 6974. [online]. Acesso em 24/04/2020. Disponível em:
https://periodicos.ufersa.edu.br/index.php/caatinga/article/view/1403.
Pereira-Filho, I. A.; Borghi, E. 2016. Mercado de sementes de milho no
Brasil: safra 2016/2017. Embrapa Milho E Sorgo, 202: 128. [online].
Acesso em 24/04/2020. Disponível em: https://www.infoteca.cnptia.
embrapa.br/infoteca/bitstream/doc/1060346/1/doc2021.pdf.
Wu, H.; Zhang, Y.; Zhu, C.; Xiao, X.; Zhou, X.; Xu, S.; Shen, W.; Huang,
M. 2012. Presence of CP4 EPSPS Component in Roundup Ready
Soybean-Derived Food Products. International Journal of Molecular
Science, 13: 19191932. Doi: https://doi.org/10.3390/ijms13021919.
Schmutz, J., Cannon, S. B.; Schlueter, J.; Ma, J.; Mitros, T.; Nelson, W.;
Hyten, D. L.; Song, Q.; Thelen, J. J.; Cheng, J.; Xu, D.; Hellsten,
U.; May, G. D.; Yu, Y.; Sakurai, T.; Umezawa, T.; Bhattacharyya, M. K.;
Sandhu, D.; Valliyodan, B.; Lindquist, E.; Peto, M.; Grant, D.; Shu, S.;
Goodstein, D.; Barry, K.; Futrell-Griggs, M.; Abernathy, B.; Du, J.; Tian, Z.;
Zhu, L.; Gill, N.; Joshi, T.; Libault, M.; Sethuraman, A.; Zhang, X.
C.; Shinozaki, K.; Nguyen, H. T.; Wing, R. A.; Cregan, P.; Specht, J.;
Grimwood, J.; Rokhsar, D.; Stacey, G.; Shoemaker, R. C.; Jackson, S. A.
2010. Genome sequence of the palaeopolyploid soybean. Nature, 463: 178
183. Doi: https://doi.org/10.1038/nature08670.
Yamaguchi, H.; Sasaki, K.; Umetsu, H. Kamada, H. 2003. Two detection
methods of genetically modified maize and the state of its import into Japan.
Food Control, 14: 201- 206. Doi: https://doi.org/10.1016/ S0956-
7135(02)00062-2.
Zhang, D.; Guo, J. 2011. The development and standardization of testing
methods for genetically modified organisms and their derived
products.
Journal of Integrative Plant Biology, 53: 539551. Doi: https://
doi.org/10.1111/j.1744-7909.2011.01060.x.
Cad. . Ciên. Agrá., 12, 1-9. https://doi.org/10.35699/2447-6218.2020.19990