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Protocol: a simple gel-free method for SNP genotyping using allele-specific primers in rice and other plant species



Genotype analysis using multiple single nucleotide polymorphisms (SNPs) is a useful but labor-intensive or high-cost procedure in plant research. Here we describe an alternative genotyping method that is suited to multi-sample or multi-locus SNP genotyping and does not require electrophoresis or specialized equipment.


We have developed a simple method for multi-sample or multi-locus SNP genotyping using allele-specific primers (ASP). More specifically, we (1) improved the design of allele-specific primers, (2) established a method to detect PCR products optically without electrophoresis, and (3) standardized PCR conditions for parallel genomic assay using various allele-specific primers. As an illustration of multi-sample SNP genotyping using ASP, we mapped the locus for lodging resistance in a typhoon (lrt5). Additionally, we successfully tested multi-locus ASP-PCR analysis using 96 SNPs located throughout the genomes of rice (Oryza sativa) cultivars 'Koshihikari' and 'Kasalath', and demonstrated its applicability to other diverse cultivars/subspecies, including wild rice (O. rufipogon).


Our ASP methodology allows characterization of SNPs genotypes without electrophoresis, expensive probes or specialized equipment, and is highly versatile due to the flexibility in the design of primers. The method could be established easily in any molecular biology laboratory, and is applicable to diverse organisms.


Plant biologists frequently have to analyze the genotype of multiple polymorphic loci. For multi-sample or multi-locus genotyping, many researchers employ labor-intensive methods, such as cleaved amplified polymorphic sequences (CAPS) [1], restriction fragment length polymorphisms (RFLP) [2], and simple sequence repeats (SSR) [3]. The main difficulty in multiple genotyping using such genetic markers is that it requires much time and labor, since these analyses need multi-step sample processing including electrophoresis. Moreover, there are only few of the appropriate polymorphisms in some genome regions [4]. To fill in gaps between markers, single nucleotide polymorphisms (SNPs) are available for genotyping.

Advances in genome analysis have made it possible to utilize SNPs in Arabidopsis thaliana [5], Glycine max [6], and Zea mays [7]. In rice (Oryza sativa), the genome sequence of the ssp. japonica cultivar 'Nipponbare' [8] and the draft sequence of the ssp. indica cultivar '93-11' [9] have been determined, and genome-wide SNP maps of japonica and indica have been published [4, 1012]. Yu et al. [9] identified, on average, one SNP per 170 bp throughout the genome in rice. These highly abundant SNPs will greatly facilitate high-resolution genome-wide genotyping [13]. Based on information provided by Nasu et al. [10] and Monna et al. [12], a database containing SNPs of six japonica and two indica cultivars was released (Rice SNPs Database by the Plant Genome Center Co. Ltd. (Tsukuba, Japan).

The allele-specific primer PCR (ASP-PCR) method was developed for allele analysis of clinically significant mutations [14]. Allele-specific PCR primers, designed so that their 3' terminal nucleotides correspond to an SNP, match perfectly with one allele (the specific allele) but have a 3' mismatch with other alleles (the nonspecific alleles). ASPs preferentially trigger amplification of the specific allele [15], and the presence of the SNP can be detected as PCR amplification after electrophoresis. Although each of the ASP-PCR markers is a dominant marker, pairs of ASP for both alleles can be used as codominant markers. To facilitate highly reliable discrimination between two alleles, the addition of artificial mismatches at the third base from 3'end of the primers might be beneficial [1517]. Their reliability was demonstrated in Arabidopsis thaliana [18] and wheat [19]. However, these methods require electrophoresis for detection, and the insufficient information of the mismatch base for new primer design is available. Thus, the application of ASP-PCR has been restricted so far. To meet the needs of multi-sample or multi-locus SNP genotyping, the ASP-PCR method clearly requires improvement.

In this study, we introduce such improvements of the ASP-PCR method. First, to discriminate SNP alleles through the presence or absence of amplification, high amplification specificity was enforced. Second, for multi-sample SNP genotyping, a detection method not requiring electrophoresis was developed. Third, for genotyping multi-locus SNPs in a single PCR operation, we standardized allele-specific PCR conditions among ASP-PCR markers. Finally, we demonstrated the usefulness of the ASP-PCR methodology for multi-sample or multi-locus SNP genotyping.


Plant materials and SNP information

The SNPs between two rice cultivars 'Koshihikari' (japonica) and 'Kasalath' (indica) were used in this study. The SNPs information of 'Koshihikari' and 'Kasalath' were provided by the PGC SNPs Database System The marker names with 'S' are SNPs in intergenic region [10, 12] and 'T' are SNPs in coding region [20]. The physical map loci of SNP markers were determined using NCBI blast Genomic DNA was isolated from leaf blades by the cetyl trimethyl ammonium bromide (CTAB) method [21].


Standard laboratory equipment including a thermal cycler and an UV transilluminator is required for allele-specific primer PCR. A real-time thermal cycler is optionally desirable for quantitative analysis of SYBR green I fluorescence. All our PCR were performed on iCycler thermal cycling instrument (Bio-rad, Hercules, CA), and SYBR Green I fluorescence was detected using a UV transilluminator (TFML-30E, UVP, CA) or a TP800 Thermal Cycler Dice (Takara Bio Inc., Shiga, Japan).


Primer design

SNP assays are performed by pairs of PCR amplifications, one with 'Koshihikari' allele specific primer and the other with 'Kasalath' allele specific primer; the reverse primer is non-allele specific and identical in 'Koshihikari' and 'Kasalath' allele specific PCRs. The allele-specific forward primer should be designed so that their 3' terminal nucleotides correspond to an SNP. To improve the specificity of allele-specific amplification, single nucleotide artificial mismatches (A-G transition as well as A-T, A-C, and G-T transversions) should be introduced at the third nucleotide from the 3' end of the primers.

Demonstration of ASP-PCR

Fig. 1A, B shows an example of allele-specific amplification for SNP marker S0285 (chr. 5, 44.7 cM). 'Koshihikari' allele-specific primers (lane 1 and 2) and 'Kasalath' allele-specific primers (lane 3 and 4) were used for allele-specific PCR with 'Koshihikari' genomic DNA (lane 1 and 3) and 'Kasalath' genomic DNA (lane 2 and 4). Amplification was detected using ethidium bromide (EtBr) after electrophoresis. 'Koshihikari' allele-specific primers acted only on 'Koshihikari' genomic DNA, and 'Kasalath' allele-specific primers worked only in the presence of 'Kasalath' genomic DNA.

Figure 1

Allele-specific amplification and detection of the PCR products. (A) Schematic representation of the allele-specific primer PCR method. 'Koshihikari' (Ksh) allele specific primer forms a perfect match at the 3' end (SNP) with Ksh DNA sequence (1) but forms a mismatch with Kal DNA (2). 'Kasalath' (Kal) allele specific primer similarly forms a 3' end match with Kal DNA (4) and 3' end mismatch with Ksh DNA (3). Both allele specific primer has an artificial mismatch at third base from 3' end (blue circle) according to the result from Table 1. (B) Allele-specific amplification of SNP marker S0285 detected EtBr after gel electrophoresis. Fluorescence of same samples were detected with a UV transilluminator at room temperature (25°C) or immediately after heating to 80°C using SYBR Green I. Ksh allele-specific primers (lane 1 and 2) and Kal allele-specific primers (lane 3 and 4) were used for PCR of Ksh genomic DNA (lane 1 and 3) and Kal genomic DNA (lane 2 and 4). The specificity of the reaction is evident. (C) The effect of temperature on SYBR Green I fluorescence. The green line indicates the fluorescence intensity of the sample in which amplification had occurred, and the blue line shows the amplification-independent background fluorescence. The ratio of both (signal/noise ratio) is shown in red. (D) The relationship between the number of SNPs and samples in a single PCR operation using 96-well plate. In a single PCR operation, 48 samples SNP genotype could be examined (multi-sample, Fig. 2), or 48 locus SNPs of one sample could be examined (multi-locus, Fig. 3)

Optical detection of allele-specific amplification

To abolish the need for electrophoresis as an analytical step, SYBR Green I, which intercalates into double-stranded DNA [22], was added to the solution containing the PCR products. Ethidium bromide has been used for the detection of double-stranded DNA, but this compound exhibits high intrinsic fluorescence and does not allow for specific double-stranded DNA analysis [23]. SYBR Green I has low intrinsic fluorescence and high selectivity for double-stranded DNA [22], and thus helps to avoid a purification step to remove the non-bound dye. The intensity of fluorescence was monitored at various temperatures using a real-time thermal cycler (Fig. 1C). Fluorescence intensity was strongly temperature-dependent. Differential melting behavior of non-specific agglomerates and the amplification product lead to a significantly increased signal/noise ratio (> 6) in the range between 60°C and 80°C, ensuring reliable detection of the specific PCR product. Thus, allele-specific amplification was unambiguously detected by SYBR Green I using both UV transilluminator and real-time thermal cycler (Fig. 1B, C).

Common protocol for ASP-PCR

  1. 1.

    Add the following components to a nuclease-free microcentrifuge tube:

  • 12.3 μl nuclease-free water

  • 2 μl 10 × PCR buffer

  • 1.6 μl 2.5 mM dNTP mix

  • 0.5 μl forward primer (10 μM)

  • 0.5 μl reverse primer (10 μM)

  • 1 μl sample DNA (ca. 200 ng).

  • 0.1 μl Hot Goldstar DNA polymerase (catalogue No. ME-0073, Eurogentec, Seraing, Belgium)

  1. 2.

    Place reactions in a thermal cycler heat block and incubate 10 min denaturation at 95°C; 30 cycles of 30 s denaturation at 95°C, 30 s annealing at 58°C, 45 s extension at 72°C; and 4 min final extension at 72°C.

  2. 3.

    Add 2 μl 10 × SYBR Green I (catalogue No. 50513, Lonza, Basel, Switzerland) to the PCR product, and detect the fluorescence at 75°C.

NOTE: The DNA polymerase and buffer system strongly influence the allele-specificity. The primers used in this study were optimized for Hot Goldstar DNA polymerase. We confirmed that some primers could be used in other polymerase (eg. SYBR Premix Ex Taq, catalogue No. RR041A, Takara, Tokyo, Japan).

Application of ASP-PCR

In 96-well PCR plate, SNP genotyping in 48 samples can be examined in a single PCR operation (multi-sample). On the other hand, the number of SNPs can be increased by reducing the number of samples (multi-locus). We applied ASP-PCR to multi-sample SNP genotyping by mapping quantitative trait locus (QTL) for lodging resistance in a typhoon (lrt5) [24] region (Application 1) and multi-locus SNP genotyping by generating genome-wide graphical maps for 11 rice lines (Application 2).

Application 1 (Multi-sample SNP genotyping)

As an example of multi-sample SNP genotyping, we mapped lrt5 region previously mapped within 28.6 cM region on chromosome 5 using a cross between 'Koshihikari' and 'Kasalath' [24]. We used 96 F2 segregating plants from crosses between japonica 'Koshihikari' and 'S1', a NIL line containing 'Kasalath' chromosome segment at the lrt5 region. For mapping lrt5, we developed five ASP-PCR markers in lrt5 region (See additional file 1: Allele-specific PCR primers used to map the lrt5). These markers have different annealing temperatures individually.

Sub-protocol for multi-sample SNP genotyping

  1. 1.

    Prepare a PCR master mix by scaling the volumes listed below to the desired number of amplification reactions. Include 10% overage to cover pipetting errors.

  • Add the following components to a nuclease-free microcentrifuge tube:

  • 12. 3 μl nuclease-free water

  • 2 μl 10 × PCR buffer

  • 1.6 μl 2.5 mM dNTP mix

  • 0.5 μl forward primer (10 μM)

  • 0.5 μl reverse primer (10 μM)

  • 0.1 μl Hot Goldstar DNA polymerase

  • Mix gently and centrifuge to bring solution to the bottom of the tube.

  1. 2.

    Aliquot 19 μl of the PCR master mix into 96-well PCR plate and add 1 μl sample DNA (ca. 200 ng).

  2. 3.

    Place reactions in a thermal cycler heat block and incubate 10 min denaturation at 95°C; 30 cycles of 30 s denaturation at 95°C, 30 s annealing at X°C, 45 s extension at 72°C; and 4 min final extension at 72°C.

NOTE: The annealing temperature is changed to the temperature described in additional file 1.

  1. 4.

    Add 2 μl 10 × SYBR Green I to the PCR product, and acquire the fluorescence value using a real-time thermal cycler at 75°C.

  2. 5.

    Determine the genotypes using Microsoft Excel macros which are programmed to identify the genotype according to the threshold of fluorescence intensity (to obtain these macro files, please contact to

According to sub-protocol for multi-sample SNP genotyping, we first analyzed S1919 and S1975 markers. Eight plants did not show PCR amplification due to germination error. The genotype of each SNP was determined by the presence or absence of fluorescence; homozygotes of the 'Koshihkari' and 'Kasalath' alleles and heterozygotes were clearly discriminated (Fig. 2A). Seventeen plants that showed recombination events could be detected (Fig 2B). The phenotype, either 'Koshihikari' or 'Kasalath', of 12 homozygous F3 plants derived from each F2 individual was determined. The chlorophyll contents in the first leaf below the flag leaf were used as an indicator of the lodging resistance during a typhoon; relative chlorophyll contents were determined as described in Ishimaru et al. [24]. The genotypes and phenotypes of F3 lines homozygote with respect to the lrt5 locus were investigated (Fig. 2C). Thus, we could narrow the lrt5 region down to 4.6 cM between markers L1008 and S0068 in one selection using 96 plants of an F2 population (Fig. 2).

Figure 2

An example of multi-sample SNP genotyping. To demonstrate multi-sample SNP genotyping, we mapped the lrt5 region using an F2 population. (A) Scatter plots showing genotyping results for the S1919 (left) and S0575 (right) markers. The X- and Y-axis represent fluorescence intensity value of 'Koshihikari' and 'Kasalath' allele-specific amplification, respectively. (B) The fluorescence data of 'Koshihikari' (upper tier in each field) and 'Kasalath' (lower tier) that correspond to the data in (A) are shown in the upper two panels in the 96-well format. Red, blue and yellow indicate 'Koshihikari' homozygotes, 'Kasalath' homozygotes, and heterozygotes of the allele, respectively. In the lower panel, recombination events between the markers S1919 and S0575 are indicated in red. Recombination was determined from the genotypes indicated in the upper two panels. (C) Genetic map of the lrt5 region, derived from the genotypes of 17 recombinants as analyzed using three additional ASP-PCR markers. White and black bars represents 'Koshihikari' and 'Kasalath' alleles, respectively. Number of recombinants are given in parenthesis.

Application 2 (Multi-locus SNP genotyping)

As an example of multi-locus SNP genotyping, we made a set of 96 ASP-PCR markers (ASP array). We tested various ASP markers using 'Koshihikari' and 'Kasalath' genomic DNA, and the primers which ensure the allele specific amplification were collected and arrayed on two 96-well PCR plates according to chromosomal order. The 96 markers were separated on average by a distance of 3.9 Mbp (see Additional file 2: The list of ASP based on SNPs between 'Koshihikari' and 'Kasalath'.). The PCR condition was standardized among the ASP markers, and this enabled genome-wide SNP mapping in a single PCR operation.

Sub-protocol for multi-locus SNP genotyping

  1. 1.

    Prepare a PCR master mix by scaling the volumes listed below to the desired number of amplification reactions. Include 10% overage to cover pipetting errors.

  • Add the following components to a nuclease-free microcentrifuge tube:

  • 12. 3 μl nuclease-free water

  • 2 μl 10 × PCR buffer

  • 1.6 μl 2.5 mM dNTP mix

  • 1 μl sample DNA (ca. 200 ng)

  • 0.1 μl Hot Goldstar DNA polymerase

  • Mix gently and centrifuge to bring solution to the bottom of the tube.

  1. 2.

    Aliquot 19 μl of the PCR master mix into 96-well PCR plate and add 1 μl forward and reverse primer mix (10 μM).

NOTE: The forward and reverse primers are mixed and the set of ASP primers are arranged in 96-well plate format beforehand.

  1. 3.

    Place reactions in a thermal cycler heat block and incubate 10 min denaturation at 95°C; 30 cycles of 30 s denaturation at 95°C, 30 s annealing at 58°C, 45 s extension at 72°C; and 4 min final extension at 72°C.

  2. 4.

    Add 2 μl 10 × SYBR Green I to the PCR product, and acquire the fluorescence value using a real-time thermal cycler at 75°C.

  3. 5.

    Draw the graphical genotypes using Microsoft Excel macros based on genotype data and physical position of each SNP (to obtain these macro files, please contact to

According to sub-protocol for multi-locus SNP genotyping, we tested ASP array in 11 rice and wild rice lines: two japonica cultivars ('Akihikari' and 'Koshihikari'), three indica cultivars ('Kasalath', 'Habataki' and 'Nona Bokra') provided by the Rice Genome Resource Center of the National Institute of Agrobiological Science (Tsukuba, Japan) and six accessions of O. rufipogon ('W0106', 'W0120', 'W1294', 'W1866', 'W1921' and 'W2003') listed in the core collection of wild rice provided by the National Institute of Genetics (Shizuoka, Japan) supported by the National Bioresource Project, MEXT, Japan. The genome-wide graphical genotype maps of 11 lines were arranged in a neighbor-joining tree (Fig. 3; see also Additional file 3: Ninety-six SNPs genotypes of 11 plants analyzed by ASP array). The neighbor-joining tree was created with ClustalX [25] and NJplot [26] with bootstrap values > 500 (1,000 replicates). Among 96 SNPs in these rice cultivars and accessions, more than 90% of SNPs could be identified as either 'Koshihikari' or 'Kasalath' alleles, except for 'W1921'.

Figure 3

An example of multi-locus SNP genotyping. Graphical genotypes of 11 lines arranged in a neighbor-joining tree created on the basis of the 96-SNPs genotype. Numbers on branches represent bootstrap values with 1,000 replicates. The bars shown in red, blue and yellow on chromosomes represent homozygous 'Koshihikari' alleles, homozygous 'Kasalath' alleles and heterozygous alleles, respectively, while black bars indicate marker that could not be determined. Chromosome numbers shown in identical color in different plant lines indicate chromosomes sharing the same SNP pattern.


Effects of base mismatches on allele specificity

To improve the specificity of allele-specific amplification, single nucleotide artificial mismatches were introduced at the third nucleotide from the 3' end of the primers. The effects of base pair mismatches were tested using isolated genomic DNA and 10 different allele-specific primers for each artificial mismatch. After PCR amplification, the products were detected using EtBr after agarose gel electrophoresis, and the number of primers which shows single-band specific amplification to 'Koshihikari' or 'Kasalath' genomic DNA were counted (Table 1). At the third nucleotide from the 3' end matching bases (rows) were replaced in the primers by the bases shown in columns, primers without mismatches showed no allele specificity (underlined in Table 1). Hayashi et al. (2004) [17] proposed that base pair mismatches created through T-G or C-A transversions at third base from 3' end could increase the allele-specificity. We confirmed that these mismatched base pairs were useful for allele-specific amplification, and identified another possible mismatch base pair, A-T transversion and A-G transition. Thus, A-G transition as well as A-T, A-C, and G-T transversions were useful base pair mismatches to improve allele-specific amplification. Primer sequences (GC content) are determinant of melting temperature (Tm) which critical importance in designing the PCR condition. By introducing such artificial mismatches, Tm of allele-specific primers can be adjusted to standardized PCR conditions.

Table 1 Effect of artificial base mismatches on the specificity of allele-specific PCR.

Flexibility of the ASP-PCR

ASP-PCR methods developed in this study is a simple method for multi-sample or multi-locus SNP genotyping. The method could be established easily in any molecular biology laboratory. New primer sets can be designed specifically to meet the requirements of various research purposes. For example, recombination events between two ASP markers could be easily detected (Fig. 2). The large-scale selection using ASP markers will greatly facilitate the mapping of genes or marker-assisted selection. On the other hand, multi-locus SNP mapping is enabled using sets of 96 ASP markers (Fig. 3). The multi-locus mapping will be useful in the high-resolution mapping after detection of various QTLs [27, 28]. The ASP markers can be switched in and out by individual researchers, unlike a printed array. This flexibility is a major advantage of the ASP-PCR method.

Applicability of ASP to diverse varieties

To demonstrate the applicability of ASP, we performed multi-locus genotyping in five cultivars of O. sativa and six accessions of O. rufipogon. O. rufipogon is the wild progenitor of O. sativa, japonica and indica cultivars are thought to have been domesticated from O. rufipogon independently [29]. Thus, the genetic variations of O. sativa might have their basis in the variations of O. rufipogon. We analyzed six accessions of O. rufipogon which are listed as the core collection (Rank 1) of wild rice [30], and two O. sativa ssp. indica, 'Habataki' and 'Nona Bokra', which are widely used as genetic resources for the genetic improvement of japonica rice. In these cultivars and accessions (except for 'W1921'), more than 90% of the alleles could be determined as either 'Koshihikari' or 'Kasalath' alleles through ASP array analysis (Fig. 3; see also Additional file 3). The average genotype call rate of 93.6% was achieved across 11 lines.

Intriguingly, in some O. rufipogon and O. sativa, some chromosomes shared identical SNP combinations, as indicated by the color-coded chromosome numbers in Fig. 3. For example, SNP genotypes on chromosome No. 12 was identical in 'Habataki', 'W1866' and 'W1294'. Due to the limited resolution of our markers, it is unclear whether the continuous chromosome regions are shared in some lines or not. Monna et al. (2006) [12] suggested that the genome of cultivated rice consists of a mosaic of various chromosomal segments derived from various accessions of wild rice. Further high-resolution mapping using the ASP array method in collections covering a wider range of genetic variation of O. sativa, as provided e.g. by the Rice Diversity Research Set of germplasm (RDRS) [31], may support the clarification of the domestication process of rice. The ASP array method will help to accelerate the genetic diversity analysis.

Validity of SNP genotypes determined by ASP array analysis

The varieties of domesticated rice and wild rice might carry mutations in priming sites that could affect allele-specificity. To test for the presence of such unanticipated changes in priming sites and to validate the applicability of the ASP methodology, we sequenced the priming sites of unintentionally and randomly chosen 12 allele-specific PCR markers located at the distal end of 12 chromosomes in six accessions of O. rufipogon (see Additional file 4: The DNA sequences of upper priming site of 12 allele-specific PCR markers). We identified five unanticipated additional SNPs in a total of 72 sequences. Although some accessions have unanticipated SNPs at the upper priming site, there was 100% concordance between the SNP genotypes identified by ASP-PCR analysis and DNA sequence, except for two samples that could not be sequenced. These results indicated that ASP analysis enabled SNP determination in the presence of additional SNPs in priming sites.

A comparison of existing methods and advantages of our method

Various methods for SNP analysis are available (reviewed in Shi [32]; Syvänen [33]), including TaqMan [34], oligonucleotide arrays [35], a fluorescence polarization method [36], pyrosequencing [37], and MassArray [38]. These methods enable high-throughput SNP analysis without electrophoresis. However, all these methods require significant initial investments for expensive probes, micro-chips, or special instrumentation. In Taqman array and oligonucleotide array, the markers cannot be replaced or added after establishment of the system. A gel-free SNP genotyping method with allele-specific PCR, BAMPER, has also been reported [39]. This method has flexibility and is cost-effective, it requires purified double strand PCR product and multi-step sample processing. SNP analysis generally has problems such as significant initial investments, inflexibility or labor-intensive.

In our ASP-PCR method, these problems are solved. Our ASP methodology allows gel-free SNP genotyping without expensive probes or specialized equipment. This method is highly versatile due to the simplicity and flexibility, and the method could be established easily in any molecular biology laboratory.


We developed a simple and flexible method for SNP genotyping by improving the design of allele-specific PCR primers, establishing a method for the detection of PCR products without electrophoresis, and optimizing conditions for allele-specific PCR. We developed a total of 101 ASP markers, which could be applied to diverse cultivars. The novel ASP-PCR technique introduced here will greatly facilitate the SNP typing and gene mapping.


  1. 1.

    Konieczny K, Ausubel FM: A procedure for mapping Arabidopsis mutations using co-dominant ecotype-specific PCR-based markers. Plant J. 1993, 4: 403-410. 10.1046/j.1365-313X.1993.04020403.x.

  2. 2.

    Harushima Y, Yano M, Shomura A, Sato M, Shimano T, Kuboki Y, Yamamoto T, Lin SY, Antonio BA, Parco A, Kajiya H, Huang N, Yamamoto K, Nagamura Y, Kurata N, Khush GS, Sasaki T: A high-density rice genetic linkage map with 2275 markers using a single F2 population. Genetics. 1988, 148: 479-494.

  3. 3.

    McCouch SR, Teytelman L, Xu Y, Lobos KB, Clare K, Walton M, Fu B, Maghirang R, Li Z, Xing Y, Zhang Q, Kono I, Yano M, Fjellstrom R, DeClerck G, Schneider D, Cartinhour S, Ware D, Stein L: Development and mapping of 2240 new SSR markers for rice (Oryza sativa L.). DNA Res. 2002, 9: 199-207. 10.1093/dnares/9.6.199.

  4. 4.

    Shen YJ, Jiang H, Jin JP, Zhang ZB, Xi B, He YY, Wang G, Wang C, Qian L, Li X, Yu QB, Liu HJ, Chen DH, Gao JH, Huang H, Shi TL, Yang ZN: Development of genome-wide DNA polymorphism database for map-based cloning of rice genes. Plant Physiol. 2004, 135: 1198-1205. 10.1104/pp.103.038463.

  5. 5.

    Jander G, Norris S, Rounsley S, Bush D, Levin I, Last R: Arabidopsis map-based cloning in the post-genome era. Plant Physiol. 2002, 129: 440-450. 10.1104/pp.003533.

  6. 6.

    Zhu YL, Song QJ, Hyten DL, Van Tassell CP, Matukumalli LK, Grimm DR, Hyatt SM, Fickus EW, Young ND, Cregan PB: Single-nucleotide polymorphisms in soybean. Genetics. 2003, 163: 1123-1134.

  7. 7.

    Batley J, Barker G, O'Sullivan H, Edwards KJ, Edwards D: Mining for single nucleotide polymorphisms and insertions/deletions in maize expressed sequence tag data. Plant Physiol. 2003, 132: 84-91. 10.1104/pp.102.019422.

  8. 8.

    International Rice Genome Sequencing Project: The map-based sequence of the rice genome. Nature. 2005, 436: 793-800. 10.1038/nature03895.

  9. 9.

    Yu J, Hu S, Wang J, Wong GK, Li S, Liu B, Deng Y, Dai L, Zhou Y, Zhang X, Cao M, Liu J, Sun J, Tang J, Chen Y, Huang X, Lin W, Ye C, Tong W, Cong L, Geng J, Han Y, Li L, Li W, Hu G, Huang X, Li W, Li J, Liu Z, Li L, Liu J, Qi Q, Liu J, Li L, Li T, Wang X, Lu H, Wu T, Zhu M, Ni P, Han H, Dong W, Ren X, Feng X, Cui P, Li X, Wang H, Xu X, Zhai W, Xu Z, Zhang J, He S, Zhang J, Xu J, Zhang K, Zheng X, Dong J, Zeng W, Tao L, Ye J, Tan J, Ren X, Chen X, He J, Liu D, Tian W, Tian C, Xia H, Bao Q, Li G, Gao H, Cao T, Wang J, Zhao W, Li P, Chen W, Wang X, Zhang Y, Hu J, Wang J, Liu S, Yang J, Zhang G, Xiong Y, Li Z, Mao L, Zhou C, Zhu Z, Chen R, Hao B, Zheng W, Chen S, Guo W, Li G, Liu S, Tao M, Wang J, Zhu L, Yuan L, Yang H: A draft sequence of the rice genome (Oryza sativa L. ssp indica). Science. 2002, 296: 79-92. 10.1126/science.1068037.

  10. 10.

    Nasu S, Suzuki J, Ohta R, Hasegawa K, Yui R, Kitazawa N, Monna L, Minobe Y: Search for and analysis of single nucleotide polymorphisms (SNPs) in rice (Oryza sativa, Oryza rufipogon) and establishment of SNP markers. DNA Res. 2002, 9: 163-171. 10.1093/dnares/9.5.163.

  11. 11.

    Feltus FA, Wan J, Schulze SR, Estill JC, Jiang N, Paterson AH: An SNP resource for rice genetics and breeding based on subspecies indica and japonica genome alignments. Genome Res. 2004, 14: 1812-1819. 10.1101/gr.2479404.

  12. 12.

    Monna L, Ohta R, Masuda H, Koike A, Minobe Y: Genome-wide searching of single-nucleotide polymorphisms among eight distantly and closely related rice cultivars (Oryza sativa L.) and a wild accession (Oryza rufipogon Griff.). DNA Res. 2006, 13: 43-51. 10.1093/dnares/dsi030.

  13. 13.

    Cho RJ, Mindrinos M, Richards DR, Sapolsky RJ, Anderson M, Drenkard E, Dewdney J, Reuber TL, Stammers M, Federspiel N, Theologis A, Yang WH, Hubbell E, Au M, Chung EY, Lashkari D, Lemieux B, Dean C, Lipshutz RJ, Ausubel FM, Davis RW, Oefner PJ: Genome-wide mapping with biallelic markers in Arabidopsis thaliana. Nat Genet. 1999, 23: 203-207. 10.1038/13833.

  14. 14.

    Newton CR, Graham A, Heptinstall LE, Powell SJ, Summers C, Kalsheker N, Smith JC, Markham AF: Analysis of any point mutation in DNA. The amplification refractory mutation system (ARMS). Nucleic Acids Res. 1989, 17: 2503-2516. 10.1093/nar/17.7.2503.

  15. 15.

    Cha RS, Zarbl H, Keohavong P, Thilly WG: Mismatch amplification mutation assay (MAMA): amplification to the c-H-ras gene. PCR Method Appl. 1992, 2: 14-20.

  16. 16.

    Kwok S, Kellog DE, McKinney N, Spasic D, Goda L, Levenson C, Sninsky JJ: Effects of primer-template mismatches on the polymerase chain reaction: Human immunodeficiency virus type q model studies. Nucleic Acids Res. 1990, 18: 999-1005. 10.1093/nar/18.4.999.

  17. 17.

    Hayashi K, Hashimoto N, Daigen M, Ashikawa I: Development of PCR-based SNP markers for rice blast resistance genes at the Piz locus. Theor Appl Genet. 2004, 108: 1212-1220. 10.1007/s00122-003-1553-0.

  18. 18.

    Drenkard E, Richter BG, Rozen S, Stutius LM, Angell NA, Mindrinos M, Cho RJ, Oefner PJ, Davis RW, Ausubel FM: A simple procedure for the analysis of single nicleotide polymorphisms facilitates map-based cloning in Arabidopsis. Plant Physiol. 2000, 124: 1483-1492. 10.1104/pp.124.4.1483.

  19. 19.

    Wei B, Jing R, Wang C, Chen J, Mao X, Chang X, Jia J: Dreb1 genes in wheat (Triticum aestivum L.): development of functional markers and gene mapping based on SNPs. Mol Breeding. 2009, 23: 13-22. 10.1007/s11032-008-9209-z.

  20. 20.

    Shirasawa K, Monna L, Kishitani S, Nishio T: Single nucleotide polymorphisms in randomly selected genes among japonica Rice (Oryza sativa L.) varieties identified by PCR-RF-SSCP. DNA Res. 2004, 11: 275-283. 10.1093/dnares/11.4.275.

  21. 21.

    Murray MG, Thompson WF: Rapid isolation of high molecular weight plant DNA. Nucleic Acids Res. 1980, 8: 4321-4325. 10.1093/nar/8.19.4321.

  22. 22.

    Zipper H, Brunner H, Bernhagen J, Vitzthum F: Investigation on DNA intercalation and surface binding by SYBR Green I, its structure determination and methodological implications. Nucleic Acids Res. 2004, 32: e103-10.1093/nar/gnh101.

  23. 23.

    Vitzthum F, Geiger G, Bisswanger H, Brunner H, Bernhagen J: A quantitative fluorescence-based microplate assay for the detection of double-strand DNA using SYBR Green I and a standard ultraviolet transilluminator gel imaging system. Anal Biochem. 1999, 276: 59-64. 10.1006/abio.1999.4298.

  24. 24.

    Ishimaru K, Togawa E, Ookawa T, Kashiwagi T, Madoka Y, Hirotsu N: New target for rice lodging resistance and its effect in a typhoon. Planta. 2008, 227: 601-609. 10.1007/s00425-007-0642-8.

  25. 25.

    Thompson JD, Gibson TJ, Plewniak F, Jeanmougin F, Higgins DG: The ClustalX windows interface: flexible strategies for multiple sequence alignment aided by quality analysis tools. Nucleic Acids Res. 1997, 24: 4876-4882. 10.1093/nar/25.24.4876.

  26. 26.

    Perrière G, Gouy M: WWW-Query: An on-line retrieval system for biological sequence banks. Biochimie. 1996, 78: 364-369. 10.1016/0300-9084(96)84768-7.

  27. 27.

    Ishimaru K, Yano M, Aoki N, Ono K, Hirose T, Lin SY, Monna L, Sasaki T, Ohsugi R: Toward the mapping of physiological and agronomic characters on a rice function map: QTL analysis and comparison between QTLs and expressed sequence tags. Theor Appl Genet. 2001, 102: 793-800. 10.1007/s001220000467.

  28. 28.

    Madoka Y, Kashiwagi T, Hirotsu N, Ishimaru K: Indian rice "Kasalath" contains genes that improve traits of Japanese premium rice "Koshihikari". Theor Appl Genet. 2008, 116: 603-612. 10.1007/s00122-007-0693-z.

  29. 29.

    Londo JP, Chiang YC, Hung KH, Chiang TY, Shaal BA: Phylogeography of asian wild rice, Oryza rufipogon, reveals multiple independent domestications of cultivated rice, Oryza sativa. Proc Natl Acad Sci USA. 2006, 103: 9578-9583. 10.1073/pnas.0603152103.

  30. 30.

    Kurata N, Yamazaki Y: Oryzabase. An integrated biological and genome information database for rice. Plant Physiol. 2006, 140: 12-17. 10.1104/pp.105.063008.

  31. 31.

    Kojima Y, Ebana K, Fukuoka S, Nagamine T, Kawase M: Development of an RFLP-based rice diversity research set of germplasm. Breed Sci. 2005, 55: 431-440. 10.1270/jsbbs.55.431.

  32. 32.

    Shi MM: Enabling large-scale pharmacogenetic studies by high-throughput mutation detection and genotyping technologies. Cli Chem. 2001, 47: 164-172.

  33. 33.

    Syvänen AC: Accessing genetic variation: Genotyping single nucleotide polymorphism. Nat Rev Genet. 2001, 2: 930-942. 10.1038/35103535.

  34. 34.

    Livak KJ, Flood SJA, Marmaro J, Giusti W, Deetz K: Oligonucleotides with fluorescent dyes at opposite ends provide a quenched probe system useful for detecting PCR product and nucleic acid hybridization. PCR Method Appl. 1995, 4: 357-362.

  35. 35.

    Hacia JG, Sun B, Hunt N, Edgemon K, Mosbrook D, Robbins C, Fodor SPA, Tagle DA, Collins FS: Strategies for mutational analysis of the large multiexon ATM gene using high-density oligonucleotide arrays. Genone Res. 1998, 8: 1245-1258.

  36. 36.

    Chen X, Levine L, Kwok PY: Fluorescence polarization in homogeneous nucleic acid analysis. Genome Res. 1999, 9: 492-498.

  37. 37.

    Alderson A, Kristofferson A, Hammerling U: Determination of single-nucleotide polymorphisms by real-time pyrophosphate DNA sequencing. Genome Res. 2000, 10: 1249-1258. 10.1101/gr.10.8.1249.

  38. 38.

    Jurinke C, Boom van den D, Cantor CR, Koster H: Automated genotyping using the DNA MassArray technology. Method Mol Biol. 2001, 170: 103-116.

  39. 39.

    Zhou GH, Kamahori M, Okano K, Chuan G, Harada K, Kambara H: Quantitative detection of single nucleotide polymorphisms for a pooled sample by a bioluminometric assay coupled with modified primer extension reactions (BAMPER). Nucleic Acids Res. 2001, 29: e93-10.1093/nar/29.10.2003.

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We thank Drs M. Yano and T. Yamamoto (National Institute of Agrobiological Sciences) for kindly providing rice materials. We also thank Noriko Moriguchi, Yukari Shimoda and Akiko Miyamoto for technical assistance. This work was supported in part by Grant-in-Aid for Scientific Research from the Ministry of Education, Culture, Sports, Science and Technology of Japan (19580020) to KI.

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Correspondence to Ken Ishimaru.

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The authors declare that they have no competing interests.

Authors' contributions

NH and KI conceived the project, designed experiments, and prepared the manuscript, and NH carried out the experiments. NM carried out the acquisition and processing of fluorescence data, and helped the primer design. TK and KU participated in the DNA extraction and the phenotypic evaluation of lrt5. All authors contributed to the manuscript preparation, and approved its final version.

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Hirotsu, N., Murakami, N., Kashiwagi, T. et al. Protocol: a simple gel-free method for SNP genotyping using allele-specific primers in rice and other plant species. Plant Methods 6, 12 (2010).

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  • Wild Rice
  • Cetyl Trimethyl Ammonium Bromide
  • Cleave Amplify Polymorphic Sequence
  • Base Pair Mismatch
  • Macro File