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Primer design using Primer Express® for SYBR Green-based quantitative PCR

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To quantitate the gene expression, real-time RT-PCR or quantitative PCR (qPCR) is one of the most sensitive, reliable, and commonly used methods in molecular biology. The reliability and success of a real-time PCR assay depend on the optimal experiment design. Primers are the most important constituents of real-time PCR experiments such as in SYBR Green-based detection assays. Designing of an appropriate and specific primer pair is extremely crucial for correct estimation of transcript abundance of any gene in a given sample. Here, we are presenting a quick, easy, and reliable method for designing target-specific primers using Primer Express® software for real-time PCR (qPCR) experiments.
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153
Chhandak Basu (ed.), PCR Primer Design, Methods in Molecular Biology, vol. 1275,
DOI 10.1007/978-1-4939-2365-6_11, © Springer Science+Business Media New York 2015
Chapter 11
Primer Design Using Primer Express
® for SYBR
Green- Based Quantitative PCR
Amarjeet Singh and Girdhar K. Pandey
Abstract
To quantitate the gene expression, real-time RT-PCR or quantitative PCR (qPCR) is one of the most
sensitive, reliable, and commonly used methods in molecular biology. The reliability and success of a real-
time PCR assay depend on the optimal experiment design. Primers are the most important constituents of
real-time PCR experiments such as in SYBR Green-based detection assays. Designing of an appropriate
and specifi c primer pair is extremely crucial for correct estimation of transcript abundance of any gene in
a given sample. Here, we are presenting a quick, easy, and reliable method for designing target-specifi c
primers using Primer Express
® software for real-time PCR (qPCR) experiments.
Key words Real-time PCR , SYBR Green , Primer , Expression , Primer Express
®
1 Introduction
After the emergence of PCR technique in early 1980s to amplify
the DNA molecules, it has been extensively used and modifi ed into
several different forms to solve the problems in molecular biology.
One of the important facets of PCR-based technique is utilized in
assessing the gene expression by qualitative or quantitative mea-
sure of mRNA in the cell. Real-time quantitative RT-PCR (qPCR)
has emerged as a powerful technique to estimate the relative quan-
titative differences in the transcript level of various samples. This
technique is favored over other methods such as northern blotting,
ribonuclease protection assays, and semi-quantitative RT-PCR for
transcript analysis because lesser amount of RNA, highly reliable
quantitative assessment, and lesser efforts to generate signifi cant
data in a relatively short period of time [
1 , 2 ]. Moreover, its ease of
use and high sensitivity make it a desirable method for various
applications in molecular biology and diagnostics [
3 6 ]. Numerous
laboratories, which perform functional genomics studies, utilize
154
qPCR method to validate tremendous amount of transcriptomic
data generated through high-throughput techniques such as gene
chip microarrays [
7 14 ]. Also, during the time of publication, it is
highly recommended to validate the expression data by qPCR
analysis. Obtaining high-quality and accurate expression data
depends on the design of the qPCR experiment. Like a conven-
tional PCR reaction, qPCR reaction also consists of buffer, dNTPs,
DNA polymerase, primers, and DNA template. The success of
qPCR reaction depends on the selection and use of the best pos-
sible combinations of all these components. For the transcript or
expression analysis the RNA template is transcribed into cDNA. For
specifi c amplifi cation, DNA and RNA templates should be rela-
tively pure of contaminating proteins and carbohydrates, and their
purity can be ascertained by measuring the OD
260 /OD
280 and
OD
260 /OD
230 ratio of the sample using a spectrophotometer.
Uncontaminated DNA and RNA template generally have OD
260 /
OD
280 ratios of 1.8–2.0 and OD
260 /OD
230 ratio in the range 2.0–
2.3. Genomic DNA contamination should also be removed from
RNA samples by using a DNAse enzyme and RNA samples should
not be degraded. The RNA integrity should be analyzed on a gel
or on a bioanalyzer chip. The ratio of 28S to 18S rRNA should be
approximately 2.0 in an intact RNA sample. Primers are the most
essential and important components of a PCR reaction as they
determine the desired specifi c region on the template and bind
there to initiate the polymerization of a DNA sequence. SYBR
Green-based detection method is more suitable and feasible for
expression analysis of multiple genes together. SYBR Green chem-
istry is appreciated as the simplest and cheapest chemistry for real-
time PCR applications. This dye binds to the minor groove of
double-stranded DNA and fl uoresces thousands times brighter
when bound than in unbound state. This implies that SYBR Green
signal increases with the progress in PCR reaction with formation
of more double-stranded DNA product. However, one major
drawback with the SYBR Green chemistry is its nonspecifi c bind-
ing to any kind of double-stranded DNA and generation of non-
specifi c uorescent signal. With the detection chemistry as that of
SYBR Green, designing of proper and specifi c primers becomes
more important because nonspecifi c intercalation of dye within
primer dimers may produce nonspecifi c uorescence and lead to
false positive results. Here, we present an easy and reliable method
to design specifi c primers for real-time qPCR experiment using
Primer Express
® software. We also discuss about consideration of
various factors such as range of GC content, melting temperatures,
length of primer, amplicon size, primer dimer formation, stem–
loop structure generation, for reliable and specifi c primer design
using computational tools.
Amarjeet Singh and Girdhar K. Pandey
155
2 Materials
1. Computer with Internet : To begin the process of primer design,
a computer system with Internet accessibility is must, as initial
reference sequences will be searched, analyzed and down-
loaded from online available public databases.
2. Primer Express
®
software : Primer Express
® is a program from
Applied Biosystems and used to design the primers for real-
time PCR for SYBR Green
® -based assays. This software does
not require any specifi c computer program to run and can be
easily installed with a normal confi guration with any version of
Windows and Macintosh.
3. Reference nucleotide sequence : To design real-time PCR prim-
ers, a nucleotide sequence is prerequisite to target a specifi c
region for amplifi cation and select suitable primer pair.
Generally, a full-length cDNA sequence with 5 and 3 UTR
region is suitable as a reference sequence but if full-length
cDNA is not available, coding region (ORF) of a gene can also
be selected ( see Note 1 ).
4. Sequence analysis tools : Once the primer(s) is selected based on
the fulfi llment of primary requirement, it is important to scan
it for the specifi city. Sequence alignment tool such as BLAST
and similar tools can be used to align the primer with selected
reference sequence and other similar sequence to ensure that
the primer(s) bind only to the desired region on the reference
sequence and not to any other nonspecifi c sequence. BLAST
tool available with NCBI (National Centre for Biotechnology
Information) is more often used for this analysis but specifi c
databases such as TAIR (The Arabidopsis Information
Resource) and RGAP (Rice Genome Annotation Project-
TIGR) can also be used for species-specifi c homology search.
3 Methods
1. For the gene of interest, obtain the database accession ID by
keyword search or homology search in the public databases.
2. Search in NCBI or species-specifi c database for the full-length
cDNA or ORF sequence, using identifi ed accession ID. Here,
we are using a rice gene as an example for which the full-
length cDNA was extracted from KOME (Knowledge-Based
Oryza Molecular Encyclopedia) database (
http://cdna01.
dna.affrc.go.jp/cDNA )
.
3. After retrieval, copy and paste the sequence on a text fi le
(notepad) FASTA format ( see Note 2 ). However, the sequence
le can also be directly imported as GeneWorks, GenBank
sequence, EMBL, GCG, PHYLIP, PRIMER, and ASCII text
in Primer Express
® software.
3.1 Retrieval
of Reference
Nucleotide Sequence
Primer Design Using Primer Express® for SYBR Green-Based Quantitative PCR
156
1. Open Primer Express
® by double-clicking on the software
icon in the computer.
2. At the extreme left of the screen, select “File” then “New” in
the dropdown menu. Slide to the right and select “TaqMan
®
Probes and Primer Design” (Fig.
1 ).
3. A new screen will open and at the sequence tab a blank space
will appear where reference sequence should be uploaded
either by copy and paste ( see Note 1 ) or by clicking on “Import
DNA File” button and selecting the text sequence fi le in
FASTA format (Fig.
2 ).
4. Go to the original window and click “Options” and then from
the dropdown menu select “Find Primers/Probes now”.
5. A complete list of 200 primer pairs in version 2.0 and 50 pairs
in version 3.0 will be generated. The entire list of primer com-
binations can either be viewed on the computer screen by
clicking on the “Primers” button on sequence tab with all the
important parameters such as start and end positions, length,
Tm, and % GC content (Fig.
3 ) or it can be saved by clicking
the on “Save List” button at bottom right of the sequence tab
screen and it will be automatically imported in text format, to
the folder which contains the input reference sequence.
6. This fi le can be opened with MS excel and list of primers can
be analyzed for various important parameters at any time.
3.2 Generation
of Primers by Software
Fig. 1 A snapshot of Primer Express
® 2.0 showing the starting screen where primer designing process starts.
After selecting ‘File’ then ‘New’ through dropdown menu, slide toward ‘TaqMan
® Probe and Primer Design’
and select it to start primer designing
Amarjeet Singh and Girdhar K. Pandey
Fig. 2 A snapshot of Primer Express
® 2.0 screen showing the space where reference sequence can be
imported and the various features and tools used to obtain optimum primer(s)
Fig. 3 A snapshot of the Primer Express
® 3.0 showing the list of primer combinations obtained for one of the
rice gene after clicking the Primers/Probes tab. For each pair of primers (both forward and reverse) all the
important details such as start and end position on the target sequence, primer length, GC content, melting
temperature (Tm), and sequence can be obtained in a single fi le
158
7. To view and analyze the different parameters of any selected
primer(s) in the software itself, click on that primer sequence
and a small window will open in Version 2.0 where different
parameters such as GC content, Tm, and length are men-
tioned (Fig.
4a ), while in version 3.0 go to ‘Tools’ tab and in
dropdown menu select ‘Primer Probe Test Tool’ and then a
small window will pop up, which gives these details about
both forward and reverse primers and additionally about the
secondary structures such as hairpin, self-dimers, and cross-
dimers (Fig.
4b ).
At step 4 , if suitable primers are not found then a pop-up
will appear with notice saying no acceptable primer pairs were
found (in version 3.0). This may happen when the reference
sequence contain a stretch of only one nucleotide repeats at
one or both the ends, especially sequences with high GC con-
tent such as rice nucleotide sequence and hence both the
primers does not fi t into the parameters of the software, fi xed
to get a compatible primer pair. In this case, it is advisable to
proceed for primer designing manually.
8. For the optimum effi ciency of real-time PCR reaction,
primer(s) should fulfi ll the following conditions:
(a) Minimum primer length: 18 bases
(b) Amplicon size: 50–150 bases
(c) % GC content: 40–70 %
(d) Tm: 58–60 °C
(e) At the 3 end, last 5 nucleotides should not contain more
than 2 G + C bases ( see Notes 3–6 ).
(f) Low or no self-complementarity to avoid primer dimers
To check all these parameters in Primer Express
® use the
‘Primer Test’ tool. From the “File” menu select “New”, slide
towards right and choose “Primer Test Document”. Now select
the sequence tab and choose forward or reverse primer to test.
This information will guide and suggest the users to adjust the
default parameters.
To obtain the primer(s) with all these parameters in optimum
range, instead of using default settings, adjustment can be done in
many fi lters. For the adjustments click on the ‘params’ tab next to
sequence tab (Fig.
5 ).
(a) Optimum annealing temperatures ( Tm ): Although the primers
generated with default settings will have comparable Tm,
which will work optimally with ABI real-time machine, but
this can be modifi ed according to user’s requirement to work
with any real-time machine and obtain better results.
(b) GC content : Sometimes if primers are not obtained in the
desired range of GC content, the fi lter can be relaxed or
constricted as per the requirement.
Amarjeet Singh and Girdhar K. Pandey
159
(c) Primer length : Primers generated by the software are of stan-
dard size for most amplifi cation experiments, but if different
primer size is required (sometime bigger length primers are
required to increase the specifi city), it can be achieved through
adjustments.
Fig. 4 Snapshots from the computer screens depicting the step to analyze different vital parameters of a
primer. ( a ) In Primer Express
® 2.0, details of different parameters can be viewed by clicking on the test primer
from the list of primers. A small window appears, which shows Tm, % GC, start site, and length of the primer.
( b ) In Primer Express
® 3.0, from the Tools tab a dropdown menu comes where Primer Probe Test Tool is
selected, after that a small window appears with all the important parameters including secondary structures
such as hairpin, self-dimers, and cross-dimers
Primer Design Using Primer Express® for SYBR Green-Based Quantitative PCR
160
(d) Amplicon size : Desired amplicon length can also be changed.
Maximum amplicon size of ~150 bp results in close to 100 %
PCR effi ciency, and if this length is increased, it may lead to
decrease in PCR effi ciency. Minimum length of amplicon is rarely
lowered and not recommended below 50 bp but it can also be
increased to create a larger amplicon to visualize on the gel.
After verifying all the necessary parameters for a compatible primer
pair, test the primer pairs for their sequence specifi city.
1. From the list of primers, select the primer pair preferably
towards the 3 end (especially when the cDNA is synthesized
using oligo-dT primer) as 3 end UTR region is considered
unique to a nucleotide sequence.
2. Take the primer sequence and perform homology search in
the database preferably NCBI using BLAST tool. Here, select
the organism genome and choose BLASTN tool for nucleo-
tide alignment. Copy and paste the primer sequence in the
blank space, and after choosing highly similar sequences
(megablast) click the BLAST button.
3. Analyze the hits obtained from BLAST and make sure that the
test primer binds to the reference nucleotide (cDNA) sequence
with 100 % coverage and does not bind to cDNA sequence of
any other gene of same species with 100 % coverage. If primer
binds to any nonspecifi c cDNA with less than 100 % coverage,
3.3 Analysis
for the Primer
Specifi city
Fig. 5 A Primer Express ® 2.0 screenshot showing different options for manual modifi cation of various impor-
tant primer parameters at the Params tab, to obtain an optimum combination. Red arrows are showing the
positions where various primer parameters such as Tm, GC content, Primer length, and amplicon size can be
modifi ed according to requirement of user (color fi gure online)
Amarjeet Singh and Girdhar K. Pandey
161
it can be used provided it should not zip toward 3end of
nonspecifi c target sequence (mismatch of 2–3 bases) so that
DNA polymerase halt there and does not propagate to pro-
duce nonspecifi c amplicon (Fig.
6a ). On the other hand if the
primer remains unzipped at 5 end but can bind complemen-
tarily at the 3end of nontarget sequence, amplifi cation of off
target can be propagated (Fig.
6b ).
4. Primer specifi city can also be checked by dissociation curve
analysis after real-time PCR run, on the real-time PCR instru-
ment itself. Ideally, a dissociation curve should contain a single
peak, which indicates the specifi c amplicon generation. If prim-
ers bind nonspecifi cally then multiple peaks could be observed
on the dissociation curve. As a case study, we have performed
the dissociation curve analysis for one of the rice gene with dif-
ferent samples of cDNA. Two primer combinations were
selected for this analysis, one pair with complete specifi city
(100 % coverage) to the target sequence and other pair with
70 % coverage and it also binds to the off targets. qPCR ampli-
cation with nonspecifi c primer combination showed multiple
peaks in different cDNA samples after dissociation curve analy-
sis (Fig.
7a ). While amplifi cation from specifi c primers showed
a single peak in all the samples (Fig.
7b ). Analysis of expression
data showed that this gene has higher expression values with
nonspecifi c primer combination than specifi c primers. This
higher expression is mainly due to the detection of additional
uorescence of SYBR Green from nonspecifi cally amplifi ed
products and hence led to false positive results.
Fig. 6 Depiction of nonspecifi c binding of the primers to any unwanted sequence.
Primer may bind to a nonspecifi c sequence either completely with 100 % cover-
age or lesser. When it is less than 100 % coverage, two main possibilities could
exist, and they are shown here. ( a ) Primer may bind to the sequence from 5 end
but remain unzipped at 3 end of nonspecifi c sequence. ( b ) Primer may not have
the complementary bases (2–3 bases) at the 5 end but might fi nd the comple-
mentary bases at 3 end, then it will zip at 3end and amplifi cation of nonspecifi c
sequence will be propagated
Primer Design Using Primer Express® for SYBR Green-Based Quantitative PCR
162
Dissociation Curve
Dissociation Curve
0.10
a
0.08
0.06
0.04
DerivativeDerivative
0.02
0.00
-0.02
0.16
0.14
0.12
0.10
0.08
0.06
0.04
0.02
0.00
-0.02
60 65 70 75 80
Temperature (C)
85 90 95
60
b
65 70 75 80
Temperature (C)
85 90 95
Fig. 7 Dissociation curve analysis performed after qPCR reaction to show primer specifi city. During qPCR
analysis as a case study in rice, ( a ) one of the genes showed multiple peaks in different cDNA samples depict-
ing nonspecifi c binding to template whereas, when the primers were changed to be more specifi c ( b ) then a
single specifi c peak was observed in most of the samples at a particular annealing temperature
Amarjeet Singh and Girdhar K. Pandey
163
4 Notes
1. When using Primer Express
® , it is better to start primer design-
ing with about 500 bp of reference nucleotide sequence to
obtain more specifi c and effi cient primers.
2. When importing a reference sequence fi le to Primer Express
®
software, make sure that the sequence is in a tab-delimited text
format and does not include any extraneous information such
as detail description of the sequence. This may lead to nonrec-
ognition of the sequence by the software.
3. Repeats, e.g., AGAGAGAG and runs of a nucleotide, e.g.,
GTTTTTTCG should be avoided in the sequence as they lead
to the mispriming on the template.
4. When searching for the primers (at step 3 in generation of
primers by software, methods), make sure that “Limit 3G + C”
box is selected, otherwise primer generated without this limita-
tion will contain more than 2 G + C in the last 5 bases at 3end.
5. For relative expression analysis using SYBR Green for several
genes, it is advisable to keep the length of the amplicon very
close because larger size product will produce more fl uores-
cence, hence the expression values obtained will not refl ect the
actual relative expression of multiple genes.
6. It is benefi cial to design a primer crossing intron/exon bound-
ary, as it will lead to amplifi cation of specifi c cDNA sample and
not the genomic DNA amplifi cation. In such cases, DNAse
treatment of RNA samples can be avoided.
Acknowledgement
Research work in GKP’s lab is partially supported by grants from
University of Delhi, Department of Biotechnology (DBT),
Department of Science and Technology (DST), and Council of
Scientifi c and Industrial Research (CSIR), India. AS acknowledges
CSIR for research fellowship.
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Amarjeet Singh and Girdhar K. Pandey
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... This made it difficult to obtain primers automatically, and only the primer set TerclaF1/R1 was generated by ProbeFinder software. Moreover, some of the considerations for proper primer composition made the design even more complicated, because when SYBR Green dye is used as fluorescence marker, the presence of primer dimers, the formation of secondary structures, or non-specific amplifications may induce the detection of false signals [64,75]. All this forced the manual design of the primer set TerclaF2/R2 and primer set TerclaF3/R1, using the parameters already set as closely as possible. ...
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... For the differential expression analysis, three biological replicates of each treatment and control were analyzed, Expression analysis by qRT-PCR. As mentioned in previously 48 , PRIMER EXPRESS SOFTWARE was used to design qRT-PCR primers for specific genes. After real-time PCR run, their specificity was determined using the RGAP BLAST program and melt curve analysis. ...
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... Referring to 2015 IGCLC [30] for the search of CDH1 and CTNNA1 [31] germline mutations, a complete sequencing of these two genes was carried out. Primers were designed using Primer Express™ Software version 2.0 Applied Biosystems Thermo Fisher Scientific [32] as shown in Table S1, used in our previous study [33]. Forward and reverse primers incorporated the extensions 18F tail (ACCGTTAGTTAGCGATTT) and 18R tail (CGGATAGCAAGCTCGT), respectively, at their 5 ends. ...
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Several syndromic forms of digestive cancers are known to predispose to early-onset gastric tumors such as Hereditary Diffuse Gastric Cancer (HDGC) and Lynch Syndrome (LS). LSII is an extracolonic cancer syndrome characterized by a tumor spectrum including gastric cancer (GC). In the current work, our main aim was to identify the mutational spectrum underlying the genetic predisposition to diffuse gastric tumors occurring in a Tunisian family suspected of both HDGC and LS II syndromes. We selected the index case “JI-021”, which was a woman diagnosed with a Diffuse Gastric Carcinoma and fulfilling the international guidelines for both HDGC and LSII syndromes. For DNA repair, a custom panel targeting 87 candidate genes recovering the four DNA repair pathways was used. Structural bioinformatics analysis was conducted to predict the effect of the revealed variants on the functional properties of the proteins. DNA repair genes panel screening identified two variants: a rare MSH2 c.728G>A classified as a variant with uncertain significance (VUS) and a novel FANCD2 variant c.1879G>T. The structural prediction model of the MSH2 variant and electrostatic potential calculation showed for the first time that MSH2 c.728G>A is likely pathogenic and is involved in the MSH2-MLH1 complex stability. It appears to affect the MSH2-MLH1 complex as well as DNA-complex stability. The c.1879G>T FANCD2 variant was predicted to destabilize the protein structure. Our results showed that the MSH2 p.R243Q variant is likely pathogenic and is involved in the MSH2-MLH1 complex stability, and molecular modeling analysis highlights a putative impact on the binding with MLH1 by disrupting the electrostatic potential, suggesting the revision of its status from VUS to likely pathogenic. This variant seems to be a shared variant in the Mediterranean region. These findings emphasize the importance of testing DNA repair genes for patients diagnosed with diffuse GC with suspicion of LSII and colorectal cancer allowing better clinical surveillance for more personalized medicine.
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Calcineurin B-like proteins (CBL)-interacting protein kinases (CIPKs) regulate the developmental processes, hormone signal transduction and stress responses in plants. Although the genome sequence of chickpea is available, information related to the CIPK gene family is missing in this important crop plant. Here, a total of 22 CIPK genes were identified and characterized in chickpea. We found a high degree of structural and evolutionary conservation in the chickpea CIPK family. Our analysis showed that chickpea CIPK s have evolved with dicots from common ancestors, and extensive gene duplication events have played an important role in the evolution and expansion of the CIPK gene family in chickpea. The three-dimensional structure of chickpea CIPKs was described by protein homology modelling. Most CIPK proteins are localized in the cytoplasm and nucleus, as predicted by in-silico subcellular localization. Promoter analysis revealed various cis-regulatory elements related to plant development, hormone signaling, and abiotic stresses. RNA-seq expression analysis indicated that CIPK s are significantly expressed through a spectrum of developmental stages, tissue/organs that hinted at their important role in plant development. The qRT-PCR analysis revealed that several CaCIPK genes had specific and overlapping expressions in different abiotic stresses like drought, salt, and ABA, suggesting the important role of this gene family in abiotic stress signaling in chickpea. Thus, this study provides an avenue for detailed functional characterization of the CIPK gene family in chickpea and other legume crops.
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Ca(2+) homeostasis is required to maintain a delicate balance of cytosolic Ca(2+) during normal and adverse growth conditions. Various Ca(2+) transporters actively participate to maintain this delicate balance especially during abiotic stresses and developmental events in plants. In this study, we are presenting a genome wide account, detail expression profiles, sub-cellular localization and functional analysis of rice calcium transport elements. Exhaustive in-silico data mining and analysis resulted in the identification of 81 Ca(2+) transport element genes, which belongs to various groups such as Ca(2+) -ATPases (pumps), exchangers, channels, glutamate receptor homologs (GLRs) and annexins. Phylogenetic analysis revealed that different Ca(2+) transporters are evolutionary conserved across different plant species. Comprehensive expression analysis by gene chip microarray and qPCR revealed that a substantial proportion of Ca(2+) transporter genes were expressed differentially under abiotic stresses (salt, cold and drought) and reproductive developmental stages (panicle and seed) in rice. These findings suggest possible role of rice Ca(2+) transporters in abiotic stress and development triggered signaling pathways. Subcellular localization of Ca(2+) transporters from different groups in Nicotiana benthamiana revealed their variable localization to different compartments, which could be their possible sites of action. Complementation of Ca(2+) transport activity of K616 yeast mutant by Ca(2+) -ATPase, OsACA7 and involvement in salt tolerance verified its functional behavior. This study will encourage detailed characterization of potential candidate Ca(2+) transporters for their functional role in-planta. This article is protected by copyright. All rights reserved.
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Background Phospholipase C (PLC) is one of the major lipid hydrolysing enzymes, implicated in lipid mediated signaling. PLCs have been found to play a significant role in abiotic stress triggered signaling and developmental processes in various plant species. Genome wide identification and expression analysis have been carried out for this gene family in Arabidopsis, yet not much has been accomplished in crop plant rice. Methodology/Principal Findings An exhaustive in-silico exploration of rice genome using various online databases and tools resulted in the identification of nine PLC encoding genes. Based on sequence, motif and phylogenetic analysis rice PLC gene family could be divided into phosphatidylinositol-specific PLCs (PI-PLCs) and phosphatidylcholine- PLCs (PC-PLC or NPC) classes with four and five members, respectively. A comparative analysis revealed that PLCs are conserved in Arabidopsis (dicots) and rice (monocot) at gene structure and protein level but they might have evolved through a separate evolutionary path. Transcript profiling using gene chip microarray and quantitative RT-PCR showed that most of the PLC members expressed significantly and differentially under abiotic stresses (salt, cold and drought) and during various developmental stages with condition/stage specific and overlapping expression. This finding suggested an important role of different rice PLC members in abiotic stress triggered signaling and plant development, which was also supported by the presence of relevant cis-regulatory elements in their promoters. Sub-cellular localization of few selected PLC members in Nicotiana benthamiana and onion epidermal cells has provided a clue about their site of action and functional behaviour. Conclusion/Significance The genome wide identification, structural and expression analysis and knowledge of sub-cellular localization of PLC gene family envisage the functional characterization of these genes in crop plants in near future.
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Given the importance of nitrogen for plant growth and the environmental costs of intense fertilization, an understanding of the molecular mechanisms underlying the root adaptation to nitrogen fluctuations is a primary goal for the development of biotechnological tools for sustainable agriculture. This research aimed to identify the molecular factors involved in the response of maize roots to nitrate. cDNA-amplified fragment length polymorphism was exploited for comprehensive transcript profiling of maize (Zea mays) seedling roots grown with varied nitrate availabilities; 336 primer combinations were tested and 661 differentially regulated transcripts were identified. The expression of selected genes was studied in depth through quantitative real-time polymerase chain reaction and in situ hybridization. Over 50% of the genes identified responded to prolonged nitrate starvation and a few were identified as putatively involved in the early nitrate signaling mechanisms. Real-time results and in situ localization analyses demonstrated co-regulated transcriptional patterns in root epidermal cells for genes putatively involved in nitric oxide synthesis/scavenging. Our findings, in addition to strengthening already known mechanisms, revealed the existence of a new complex signaling framework in which brassinosteroids (BRI1), the module MKK2-MAPK6 and the fine regulation of nitric oxide homeostasis via the co-expression of synthetic (nitrate reductase) and scavenging (hemoglobin) components may play key functions in maize responses to nitrate.