Open Access

Molecular mapping of qBK1 WD , a major QTL for bakanae disease resistance in rice

  • Sais-Beul Lee1,
  • Yeon-Jae Hur1,
  • Jun-Hyeon Cho1,
  • Jong-Hee Lee1,
  • Tae-Heon Kim1,
  • Soo-Min Cho1,
  • You-Chun Song1,
  • Young-Su Seo2,
  • Jungkwan Lee3,
  • Tae-sung Kim4,
  • Yong-Jin Park5,
  • Myung-Kyu Oh1 and
  • Dong-Soo Park1Email authorView ORCID ID profile

Received: 9 August 2017

Accepted: 27 December 2017

Published: 10 January 2018



Bakanae or foot rot disease is a prominent disease of rice caused by Gibberella fujikuroi. This disease may infect rice plants from the pre-emergence stage to the mature stage. In recent years, raising rice seedlings in seed boxes for mechanical transplanting has increased the incidence of many seedling diseases; only a few rice varieties have been reported to exhibit resistance to bakanae disease. In this study, we attempted to identify quantitative trait loci (QTLs) conferring bakanae disease resistance from the highly resistant japonica variety Wonseadaesoo.


A primary QTL study using the genotypes/phenotypes of the recombinant inbred lines (RILs) indicated that the locus qBK1 WD conferring resistance to bakanae disease from Wonseadaesoo was located in a 1.59 Mb interval delimited on the physical map between chr01_13542347 (13.54 Mb) and chr01_15132528 (15.13 Mb). The log of odds (LOD) score of qBK1 WD was 8.29, accounting for 20.2% of the total phenotypic variation. We further identified a gene pyramiding effect of two QTLs, qBK WD and previously developed qBK1. The mean proportion of healthy plant for 31 F4 RILs that had no resistance genes was 35.3%, which was similar to that of the susceptible check variety Ilpum. The proportion of healthy plants for the lines with only qBK WD or qBK1 was 66.1% and 55.5%, respectively, which was significantly higher than that of the lines without resistance genes and that of Ilpum. The mean proportion of the healthy plant for 15 F4 RILs harboring both qBK WD and qBK1 was 80.2%, which was significantly higher than that of the lines with only qBK WD or qBK1.


Introducing qBK WD or pyramiding the QTLs qBK WD and qBK1 could provide effective tools for breeding rice with bakanae disease resistance. To our knowledge, this is the first report on a gene pyramiding effect that provides higher resistance against bakanae disease.


RiceBakanae Gibberella fujikuroi QTL mappingResistanceGene pyramiding


Bakanae disease is a disease of rice caused by Gibberella fujikuroi that was first described in Japan and now is widely distributed throughout Asia, Africa, North America, and Italy (Ou 1985; Prà et al. 2010). The common bakanae disease symptoms in rice plant are abnormal elongation such as tall, lanky tillers with pale green flag leaves, dried-up leaves, and infertile panicles (Mew and Gonzales 2002; Ou 1985). Bakanae disease decreases rice grain yield by 20–50% in Japan (Ou 1985) and 15–25% in India (Gupta et al. 2015). In Korea, 28.8% of the seedboxes for seedlings nursery were afected with bakanae disease in 2006 (Park et al. 2009), and 9.3% were affected in 2014. In recent years, raising rice seedlings in seedboxes for mechanical transplanting has coincided with many seedling disease problems that were not prevalent in open-field nurseries used for manual transplanting. Bakanae disease has become a serious problem in the breeding of hybrid rice, which involves increased use of seedbeds for plant growth (Li and Luo 1997; Yang et al. 2003). The most common management practice for bakanae is treating the seeds with hot water or fungicides. The hot water immersion method (Hayasaka et al. 2001) is ineffective for severely infected rice seeds because the hot water does not make contact with the pericarp of the rice seed. The application of fungicides cannot fully control fungal spores either, and fungicide resistant strains of bakanae have been reported (Ogawa 1988; Park et al. 2009; Kim et al. 2010; Lee et al. 2011). Cultivation of resistant cultivars potentially represents a cost-effective and environmentally friendly way to control this disease. However, extensive screening for bakanae resistant rice germplasm has identified only a few rice varieties (Li et al. 1993; Lv 1994; Khokhar and Jaffrey 2002; Kim et al. 2014).

It is necessary to identify resistance genes that can be used for marker-assisted selection in rice breeding and for understanding the mechanisms of resistance. Several quantitative trait loci (QTL) associated with bakanae disease resistance have been identified in previous studies. Yang et al. (2006) identified two QTLs on chromosome 1 and chromosome 10 by in vitro evaluation of the Chunjiang 06/TN1 doubled haploid population, which explained 13.4% and 13.3% of phenotypic variance. Hur et al. (2015) identified a major QTL, qBK1, from 168 BC6F4 near isogenic lines generated by crossing the resistant indica variety Shingwang with the susceptible japonica variety Ilpum. qBK1 is located within a 520 kb region between simple sequence repeat (SSR) markers RM8144 (19.30 Mb) and RM11295 (23.72 Mb) based on the Nipponbare genome sequence. The RM9 marker showed the highest log of odds (LOD) score (33.21) and accounted for 65% of the phenotypic variation. Fiyaz et al. (2016) identified three QTLs, qBK1.1, qBK1.2, and qBK1.3, which accounted for 4.76%, 24.74%, and 6.49% of phenotypic variation, respectively. Varieties with a single resistance gene may lose their resistance by the emergence of new population of fungal isolates (Wang and Valent 2009). Four Fusarium species including F. andiyazi, F. fujikuroi, F. proliferatum, and F. verticillioides from the G. fujikuroi species complex have been reported to be associated with bakanae disease (Wulff et al. 2010). Hence, identifying new resistance genes from diverse sources is important for rice breeding programs to defend against bakanae disease by enhancing the resistance level and/or help to overcome the breakdown of resistance genes. In this study, we generated 200 recombinant inbred lines (RILs) from a cross between a resistant (Wonseadaesoo) and a susceptible (Junam) japonica variety using insertion/deletion (InDel) and tetra markers (Ye et al. 2001), which were developed based on resequencing of the two parental varieties, to identify new QTLs for bakanae disease resistance in rice. The results of this study are expected to provide useful information for developing resistant rice lines that contain single or multiple major QTLs by pyramiding the resistance genes for bakanae disease.


Bakanae disease bioassay in parental rice varieties

To investigate the host resistance to bakanae disease, the proportion of healthy plants in Wonseadaesoo (resistant) and Junam (susceptible) were measured after inoculation with virulent F. fujikuroi isolate CF283 (Kim et al. 2014). Junam showed typical bakanae disease symptoms such as abnormal elongation, pale green leaves, or drying up of the whole plantlets as compared to Wonseadaesoo (Fig. 1a). The proportion of healthy Junam and Wonseadaesoo plants was 11.0% and 65.7%, respectively (Fig. 1b).
Fig. 1

Phenotype (a) and proportion of healthy plants (b) in parental varieties infected with the Fusarium fujikuroi isolate CF283

We generated green fluorescent protein (GFP)-tagged F. fujikuroi CF283 isolate and inoculated two rice varieties for microscopic observation. Ten days after inoculation, infected plants from each variety with typical disease symptoms were subjected to a confocal microscopy analysis. Confocal imaging of radial sections of the basal stem showed that the fungus penetrated the stele in both varieties, and was more abundant in the susceptible Junam variety than it was in the resistant Wonseadaesoo (Fig. 2).
Fig. 2

Confocal imaging of Wonseadaesoo and Junam rice plants infected with CF283GFP Fusarium fujikuroi isolates. a Radial and (b) longitudinal sections of the basal stem (Scale bar = 20 μm)

QTL analysis and mapping of bakanae disease resistance using 200 F4 RILs

A bioassay for bakanae disease was conducted with 200 F4 RILs derived from the cross Junam/Wonseadaesoo using the F. fujikuroi isolate CF283. The proportion of healthy plants for the 200 F4 RILs exhibited a continuous distribution (0–100%; Fig. 3). The average proportion of healthy Junam plants was 10.9% (0–12.5%; n = 11) and that of Wonseadaesoo was 56.7% (51.9–72.2%; n = 11).
Fig. 3

Frequency distribution of the proportion of healthy plants (n = 200) in 200 F4 recombinant inbred lines

A genotyping by sequencing (GBS) experiment detected 16,941 single-nucleotide polymorphism (SNP) and 1591 InDel loci between Junam and Wonseadaesoo (data not shown). Finally, 135 InDel markers that showed a polymorphism in 3% agarose gel were selected from 277 InDel markers designed from resequencing data and a polymorphism survey of the whole chromosomes of Junam and Wonseadaesoo. A genetic linkage map of Junam and Wonseadaesoo was constructed with 135 polymorphic markers that covered a total length of 2134 cM with an average interval of 15.8 cM (Additional file 1: Figure S1). Primary QTL mapping showed that a significant QTL associated with bakanae disease resistance at the seedling stage was located between the InDel markers, chr01_10336087 and chr01_26628298 on chromosome 1, and it was designated qBK1 WD . The LOD score of qBK1 WD was 8.29, which accounted for 20.2% of the total phenotypic variation (Table 1). The location of qBK1 WD was narrowed down by analyzing the chromosome segment introgression lines in the region detected from primary mapping. The qBK1 WD region from the primary mapping was further analyzed with 46 additional InDel markers for the insertion/deletion sites and 15 tetra markers for the SNPs based on the resequencing data of the Wonseadaesoo and Junam varieties. Seven InDel markers and three tetra markers were selected as polymorphic markers between the parents to narrow down the position of the qBK1 WD region (Additional file 2: Table S1 and Table S2).
Table 1

Quantitative trait loci (QTLs) detected by composite interval mapping for bakanae disease resistance



Left marker

Right marker


PVE (%)

Additive effect








LOD log of odds score, PVE percentage of phenotypic variation explained

Finally, seven homozygous reczombinants were selected from the F4:5 lines using 10 markers in the 16.29 Mb region between the InDel markers chr01_10336087 and chr01_2662898 (Figs. 4 and 5). The phenotypes of the recombinant lines indicated that the locus conferring resistance to qBK1 WD was approximately a 1.59 Mb interval delimited on the physical map between chr01_13542347 (13.54 Mb) and chr01_15132528 (15.13 Mb).
Fig. 4

Quantitative trait locus (QTL) analysis of qBK1 WD using recombinant inbred lines (RILs) derived from a cross between Wonseadaesoo and Junam rice plants. a In primary mapping, qBK1 WD was identified in a 16.29 Mb region between the InDel markers chr01_10336087 and chr01_26628298 on chromosome 11. b Location of qBK1 WD was narrowed down to 1.59 Mb by finer mapping using homozygous recombinants. The proportion of healthy plant were calculated from biological replications. Values (%) of the proportion of healthy plant with different letters are significantly different by Duncan’s multiple range test at P = 0.05

Fig. 5

Phenotypic responses to bakanae disease in seven homozygous recombinants for finer mapping

Gene pyramiding effect of two bakanae disease resistance QTLs, qBK WD and qBK1

To identify the pyramiding effect of the two major QTLs qBK WD and qBK1, we generated 314 F4 RILs from a cross between Wonseadaesoo (harboring qBK WD ) and YR24982–9-1 (harboring qBK1), and further selected 231 F4 lines showing homogeneous genotype with the molecular marker chr01_15132528 for qBK WD (in this study) and RM9 for qBK1 (Hur et al. 2015). The mean proportion of healthy plant for the F4 RILs plants with no resistance gene (aabb, 31 lines) was 35.3% (Table 2), which was similar to that of the susceptible control variety Ilpum (the mean of the 22 replicates was 39.2%; data not shown). The mean proportion of healthy plant in the lines with only qBK WD (aaBB, 93 lines) and qBK1 (AAbb, 92 lines) was 66.1% and 55.5%, respectively, which was significantly higher than that of the lines that had no resistance gene (aabb) or that of Ilpum. The mean proportion of healthy plant in the lines with both qBK WD and qBK1 (AABB, 15 lines) was 80.2%, which was significantly higher than that of the lines with a single QTL, qBK WD (aaBB) or qBK1 (AAbb).
Table 2

Mean proportion of healthy plants harboring individual gene combinations infected with Fusarium fujikuroi isolate CF283

Gene combination

AABB (qBK1 + qBK WD )

aaBB (qBK WD )

AAbb (qBK1)



No. of lines






Mean proportion of healthy plants






Means with different characters of superscripts (a, b, c and d) indicate significant differences at P = 0.05


Identification of qBK WD , a major QTL against bakanae disease resistance

Rice varieties with a single resistance gene are at an increased risk of being overcome by new virulent strains. Therefore, it is essential to improve various genetic resources against bakanae disease in rice breeding programs. In our previous study (Hur et al. 2016), the japonica germplasm Wonsaedaesoo showed the highest level of resistance (ratio of healthy plants was 97%) among the 254 rice germplasm accessions examined, and it showed a higher level of resistance than that of another bakanae-resistant plant Shingwang (ratio of healthy plants was 77%). In this study, we have attempted to identify new resistance loci from Wonseadaesoo to improve bakanae disease resistance in rice breeding programs. Our GBS results detected 16,941 SNP and 1571 InDel loci between Wonseadaesoo and Junam. In the primary mapping, qBK WD was detected in the 16.29 Mb region between the physical positions 10.33 and 26.62 Mb on chromosome 1.

We further selected four additional InDel markers and three tetra markers to narrow down the position of the qBK1 WD region. Tetra-primer amplification has been described as an efficient and low-cost method for SNP genotyping (Ye et al. 2001, Chiapparino et al. 2004). This method uses two locus-specific outer primers that asymmetrically flank the SNP under investigation and two allele-specific inner primers. The different product sizes produced by one inner and outer primer pairs can be easily detected by polyacrylamide or agarose gel electrophoresis. Finer mapping revealed that the QTL qBK WD is located in an approximately 1.59 Mb long interval between 13.54 and 15.13 Mb on chromosome 1 (Fig. 4).

Five QTLs related to bakanae disease resistance were previously identified on chromosome 1. Hur et al. (2015) identified qBK1, a major QTL from the Korean indica variety Shingwang. The qB1, identified by Yang et al. (2006), is located between RM7180 and RM486 (approximately 34 Mb long region). The qBK1 (Hur et al. 2015) is located between RM8144 and RM11295 at the physical position of 23.2 and 23.72 Mb; this region is shared with qBK1.1, located between RM9 and RM11282 (Fiyaz et al. 2016). Both qBK1.2 and qBK1.3 are located between RM10153 and RM5336, which correspond to the physical positions of 3.10 and 3.36 Mb, and from RM10271 to RM35 at the physical position of 4.65 Mb regions (Fiyaz et al. 2016). Therefore, qBK WD is a novel QTL for bakanae disease resistance, and which does not overlap with any of qB1 (Yang et al. 2006), qBK1 (Hur et al. 2015), qBK1.1 qBK1.2, or qBK1.3 (Fiyaz et al. 2016).

Application of marker-assisted selection (MAS) for the pyramiding of QTLs, qBK WD  + qBK1

Gene pyramiding through conventional phenotype assays in breeding crops is considered to be difficult and often impossible due to the dominance and epistatic effects of genes governing disease resistance and the limitations related to all year-round screening (Sundaram et al. 2009). Major QTLs for bakanae disease resistance were transferred into japonica rice by backcross breeding and marker-assisted selection, which would thus reduce the amount of time and labor-intensive bioassays required for the backcross procedure. Pyramiding multiple resistant genes in a single plant might confer higher and/or durable resistance against bakanae disease. The effects of pyramiding resistance genes have been investigated for several plant-microbe interactions. Pyramiding three bacterial blight resistance genes resulted in a high level of resistance and was expected to provide durable pathogen resistance (Singh et al. 2001, Pradhan et al. 2015). In other cases, pyramiding of resistant genes resulted in a level of resistance that was comparable to or even lower than that by a single gene. For example, Yasuda et al. (2015) reported that disease suppression in rice lines carrying pairs of resistance genes against rice blast is comparable to that observed in lines containing the gene with a stronger suppressive effect. Moreover, the number of lesions and the percentage of diseased leaf area in lines with several gene combinations such as pi21 + Pi34 and pi21 + Pi35 were significantly lower than those in lines with individual resistance genes. Therefore, investigating the effect of pyramiding genes involved in bakanae disease resistance is important to enhance the level of resistance in rice.

In our previous study of bakanae disease resistance, qBK1 was mapped between the flanking markers RM8144 and RM11295; the RM9 marker had the highest LOD score and was therefore selected for marker-assisted foreground selection of qBK1 into elite breeding materials to acquire bakanae disease resistance (Hur et al. 2015). The results presented herein revealed that rice lines harboring qBK WD showed a higher level of resistance than those with qBK1. Furthermore, the pyramided rice lines harboring qBK WD  + qBK1 had a much higher level of resistance than those harboring either qBK WD or qBK1.

The development of a rice variety with a higher level of resistance against bakanae disease is a major challenge in many countries (Cumagun et al. 2011, Bashyal et al. 2014, Fiyaz et al. 2016, Hur et al. 2015). The study clearly establishes the utility of MAS in gene pyramiding such as that of the two-gene combination qBK WD  + qBK1, which can achieve higher resistance in many bakanae disease prone rice growing areas.


Introducing qBK WD and pyramiding the QTLs qBK WD and qBK1, along with the utilization of the MAS could provide tools for the breeding of rice varieties with bakanae disease resistance. Further fine mapping studies will be needed to determine the actual candidate gene of the qBK WD QTL by using additional molecular markers and recombinants.


Plant materials

Two rice varieties, the bakanae disease resistant japonica variety Wonseadaesoo and the susceptible japonica variety Junam, were used in this study. Wonseadaesoo was selected as the foremost resistant rice germplasm from 500 varieties screened with a newly developed fast and reproducible inoculation method for accurate evaluation of rice bakanae disease resistance (Kim et al. 2014; Hur et al. 2016). We generated 200 F2:4 RILs from a cross between Wonseadaesoo and Junam for QTL analysis. To identify the pyramiding effect of the two major QTLs qBK WD and qBK1, 314 F4 RILs were further generated from a cross between Wonseadaesoo and YR24982–9-1 harboring qBK WD and qBK1, respectively. YR24982–9-1 is a BC5F5 near isogenic line carrying qBK1 selected from backcross lines between Shingwang as the donor, and Ilpum as the recurrent parent (Hur et al. 2015).

Evaluation of bakanae resistance

The evaluation of bakanae disease was performed using a method modified from that described by Kim et al. (2014) and Hur et al. (2015, 2016). Our previous study revealed that 11 varieties including Wonseadaesoo were resistant to bakanae disease among 254 rice germplasm accessions examined for infection with F. fujikuroi isolate CF283 (Hur et al. 2016). The F. fujikuroi isolate CF283 was inoculated in potato dextrose broth (PDB) and cultured at 26 °C under continuous light for one week. The fungal spore concentration was adjusted to 1 × 106 spores/mL with a hemocytometer to obtain standardized inoculums. Forty seeds per line were placed into a tissue-embedding cassette (M512, Simport, Beloeil, QC, Canada). The seeds in the tissue-embedding cassette were then surface sterilized in a hot water bath (57 °C) for 13 min and allowed to drain before they were soaked in a conidial suspension in another tray for 3 d at 26 °C with gentle shaking four times a day. After inoculation, 30 seeds per line were sown in nursery bed soil in a seedling tray. The inoculated seedlings were grown in a greenhouse at 28 ± 5 °C during the day and 23 ± 3 °C at night, in a 12 h light/dark cycle. The response to bakanae disease was evaluated by calculating the proportion of healthy plants in a given plot one month after sowing. Healthy and unhealthy plants were classified by the method described by Kim et al. (2014). Plants with the same phenotype as untreated plants or slight elongated seedlings with no thinness or yellowish coloring after infection were regarded as healthy plants. This method is fast, reproducible, and accurate in evaluating bakanae disease resistance in rice when compared to methods using direct indicator of bakanae disease resistance such as shoot elongation after GA treatment (Kim et al. 2014).

Generation of transgenic F. fujikuroi strains carrying green fluorescent protein (GFP)

To investigate the infection process of F. fujikuroi in rice, GFP was introduced into the CF283 isolate as previously described (Lee et al. 2008). In brief, a DNA fragment (3.4 kb) of a cassette including GFP and hygromycin resistance genes was amplified from the pIGPAPA plasmid (Horwitz et al., 1999), which carries the gene encoding GFP fused to the Neurospora crassa isocitrate lyase promoter and hygB fused to the Aspergillus nidulans TrpC promoter, with primers ICL-F1 (5′-GGGCCCCACACGGACTCAAAC-3′) and HYG-F1 (5′-GGCTTGGCTGGAGCTAGTGGAGG-3′). The fragment was directly introduced into CF283 protoplasts with a polyethylene glycol-mediated method (Lee et al. 2002). Transformed CF283GFP constitutively expressing GFP had similar pathogenicity, growth, conidiation, and pigmentation to that of untransformed CF283 isolate.


The disease symptoms of 10-day-old plants infected with CF283GFP isolate were observed by confocal microscopy. Symptomatic tissues were analyzed using a Zeiss 510 laser scanning confocal microscope (Carl Zeiss Microscopy GmbH, Jena, Germany). The GFP was excited with a 488 nm excitation line and detected with a BP 500–530 IR emission filter.

Selection of InDel markers from sequencing data

The number of polymorphic SSR markers was not sufficient for japonica/japonica mapping populations. Only four out of 100 SSR markers from the Gramene database ( showed polymorphic differences between Wonseadaesoo and Junam varieties in our preliminary test for marker survey. We re-sequenced Wonseadaesoo and Junam by GBS, and selected 135 polymorphic InDel markers that could differentiate the genotypes of Wonseadaesoo and Junam using agarose gel electrophoresis from 11,393 InDel loci between the two varieties covering the 12 rice chromosomes. The PCR cycling conditions for InDel markers were 2 min at 94 °C, followed by 35 cycles at 94 °C for 20 s, 55 to 60 °C for 30 s, and 72 °C for 40 s, and a final extension at 72 °C for 7 min. The PCR cycling conditions for tetra primers were as follows: 5 min at 94 °C, followed by 35 cycles at 94 °C for 30 s, 60 to 65 °C for 40 s, and 72 °C for 1 min, and a final extension at 72 °C for 7 min. The amplified products were separated using a 3% agarose gel electrophoresis and visualized with ethidium bromide.

QTL and statistical analysis

The 200 F2:4 RILs that were derived from a cross between Wonseadaesoo and Junam were used for QTL analysis. The QTL analysis was performed by composite interval mapping with QTL IciMapping v4.0.6.0 software (Meng et al. 2015). LOD threshold of 7.2 was used to confirm the presence of putative SSR markers associated with bakanae disease resistance. The percentage of trait variation explained by a QTL and the additive effects were also estimated by QTL IciMapping program (Meng et al. 2015). Statistical differences between means were analyzed using Duncan’s multiple range test after one-way analysis of variance (ANOVA). The level of significance was designated at P < 0.05 and determined using the SAS 9.4 program (SAS Institute Inc., Cary, NC, USA).



genotyping by sequencing


green fluorescent protein




log of odds


marker-assisted selection


potato dextrose broth


quantitative trait loci


recombinant inbred lines


simple sequence repeat



This work was conducted with the support of the "Cooperative Research Program for Agriculture Science & Technology Development (Project title: QTL mapping for development of functional rice with bakanae disease resistance, Project No. PJ01112702," Rural Development Administration, Republic of Korea.

Authors’ contributions

SB, YJ, and DS carried out the molecular genetic studies and drafted the manuscript. JH, JH, TH, and SM participated in the QTL analysis. YC and MK contributed to the phenotyping and result interpretation. YS and YJ generated the GFP-tagged F. fujikuroi isolate CF283GFP and carried out microscopic analysis. TS and YJ conducted the resequencing and GBS study. All authors read and approved the final manuscript.

Ethics approval and consent to participate

Not applicable

Competing interests

We declare that the funding agencies and organizations are acknowledged and there are no financial or non-financial competing interests.

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Authors’ Affiliations

National Institute of Crop Science, Miryang, Republic of Korea
Department of Microbiology, Pusan National University, Pusan, Republic of Korea
Department of Applied Biology, Dong-A University, Pusan, Republic of Korea
Department of Agriculture, Korea National Open University, Seoul, Republic of Korea
Department of Plant Resources, Kongju National University, Yesan, Republic of Korea


  1. Bashyal BM, Aggarwal R, Banerjee S, Gupta S, Sharma S (2014) Pathogenicity, ecology and genetic diversity of the Fusarium spp. associated with an emerging bakanae disease of rice (Oryza sativa L.) in India. In: Kharwar RN, Upadhyay R, Dubey N, Raghuwanshi R (eds) Microbial diversity and biotechnology in food security, springer India, New Delhi., p317–314Google Scholar
  2. Chiapparino E, Lee D, Donini P (2004) Genotyping single nucleotide polymorphisms in barley by tetra-primer ARMS-PCR. Genome 47:414–420View ArticlePubMedGoogle Scholar
  3. Cumagun CJR, Arcillas E, Gergon E (2011) UP-PCR analysis of the seedborne pathogen Fusarium fujikuroi causing bakanae disease in rice. Int J Agric Biol 13:1029–1032Google Scholar
  4. Fiyaz RA, Yadav AK, Krishnan SG, Ellur RK, Bashyal BM, Grover N, Bhowmick PK, Nagarajan M, Vinod KK, Singh NK, Prabhu KV, Singh AK (2016) Mapping quantitative trait loci responsible for resistance to Bakanae disease in rice. Rice 9:3–10View ArticleGoogle Scholar
  5. Gupta AK, Solanki IS, Bashyal BM, Singh Y, Srivastava K (2015) Bakanae of rice - an emerging disease in Asia. J Anim. Plant Sci 25:1499–1514Google Scholar
  6. Hayasaka T, Ishiguro K, Shibutani K, Namai T (2001) Seed disinfection using hot water immersion to control several seed-borne diseases of rice plants. Jpn J Phytopathol 67:26–32View ArticleGoogle Scholar
  7. Horwitz BA, Sharon A, Lu SW, Ritter V, Sandrock TM, Yoder OC, Turgeon BG (1999) A G protein alpha subunit from Cochliobolus heterostrophus involved in mating and appressorium formation. Fungal Genet Bio 26:19–32View ArticleGoogle Scholar
  8. Hur YJ, Lee SB, Kim TH, Kwon T, Lee JH, Shin DJ, Park SK, Hwang UH, Cho JH, Yoon YN, Yeo US, Song YC, Kwak DY, Nam MH, Park DS (2015) Mapping of qBK1, a major QTL for bakanae disease resistance in rice. Mol Breeding 35:78. ArticleGoogle Scholar
  9. Hur YJ, Lee SB, Shin DJ, Kim TH, Cho JH, Han SI, Oh SH, Lee JY, Son YB, Lee JH, Kwon TM, Park NB, Kim SY, Song YC, Nam MH, Kwon YU, Park DS (2016) Screening of rice germplasm for Bakanae disease resistance in rice. Kor J Breed Sci 48:22–28View ArticleGoogle Scholar
  10. Khokhar LK, Jaffrey AH (2002) Identification of sources of resistance against bakanae and foot rot disease in rice. Pak J Agric Res 17:176–177Google Scholar
  11. Kim JM, Hong SK, Kim WG, Lee YK, SH Y, Choi HW (2010) Fungicide resistance of Gibberella fujikuroi isolates causing rice bakanae disease and their progeny isolates. Kor J Mycol 38:75–79View ArticleGoogle Scholar
  12. Kim MH, Hur YJ, Lee SB, Kwon TM, Hwang UH, Park SK, Youn YN, Lee JH, Cho JH, Shin DJ, Kim TH, Han SI, Yeo US, Song YC, Nam MH, Park DS (2014) Large-scale screening of rice accessions to evaluate resistance to bakanae disease. J Gen Plant Pathol 80:408–414View ArticleGoogle Scholar
  13. Lee J, Leslie JF, Bowden RL (2008) Expression and function of sex pheromones and receptors in the homothallic ascomycete Gibberella zeae. Eukaryot Cell 7:1211–1221View ArticlePubMedPubMed CentralGoogle Scholar
  14. Lee T, Han YK, Kim KH, Yun SH, Lee YW (2002) Tti13 and Tri7 determine deoxynivalenol- and nivalenol-producing chemotypes of Gibberella zeae. Appl Environ Microbiol 68:2148–2154View ArticlePubMedPubMed CentralGoogle Scholar
  15. Lee YH, Lee MJ, Choi HW, Kim ST, Park JW, Myung IS, Park KS, Lee SW (2011) Development of in vitro seedling screening method for selection of resistant rice against bakanae disease. Res. Plant Dis 17:288–294View ArticleGoogle Scholar
  16. Li D, Luo K (1997) Study of the relationship between the occurrence of bakanae disease in hybrid rice and the application of gibberellin to seed reproduction. J Hunan Agric Univ 23:47–49Google Scholar
  17. Li D, Luo K, Chen Z (1993) Studies on resistance of rice varieties to bakanae disease and pathogenicity of pathogen (Fusarium moniliforme). Acta Phytopathol Sin 23:315–319Google Scholar
  18. Lv B (1994) Preliminary study of identification for resistance to rice bakanae disease in rice resource. Plant Prot 3:20–21Google Scholar
  19. Meng L, Li H, Zhang L, Wang J (2015) QTL IciMapping: integrated software for genetic linkage map construction and quantitative trait locus mapping in biparental populations. Crop J 3:269–283View ArticleGoogle Scholar
  20. Mew TW, Gonzales PG (2002) A handbook of rice seedborne fungi. International Rice Research Institute, Los Baňos (Philippines) and Science Publishers, Inc., EnfieldGoogle Scholar
  21. Ogawa K (1988) Damage by “Bakanae” disease and its chemical control. Jpn Pestic Inf 52:13–15Google Scholar
  22. Ou SH (1985) Rice diseases, 2nd edn. Commonwealth Mycological Institute, KewGoogle Scholar
  23. Park WS, Choi HW, Han SS, Shin DB, Shim HK, Jung ES, Lee SW, Lim CK, Lee YH (2009) Control of bakanae disease of rice by seed soaking into the mixed solution of procholraz and fludioxnil. Res Plant Dis 15:94–100View ArticleGoogle Scholar
  24. Prà MD, Tonti S, Pancaldi D, Nipoti P, Alberti I (2010) First report of Fusarium andiyazi associated with rice bakanae in Italy. Plant Dis 94:1070View ArticleGoogle Scholar
  25. Pradhan SK, Nayak DK, Mohanty S, Behera L, Barik SR, Pandit E, Lenka S, Anandan A (2015) Pyramiding of three bacterial blight resistance genes for broad-spectrum resistance in deepwater rice variety, Jalmagna. Rice 8:2–14View ArticleGoogle Scholar
  26. Singh S, Sidhu JS, Huang N, Vikal Y, Li Z, Brar DS, Dhaliwal HS, Khush GS (2001) Pyramiding three bacterial blight resistance genes (xa5, xa13 and Xa21) using marker-assisted selection into indica rice cultivar PR106. Theor Appl Genet 102:1011–1015View ArticleGoogle Scholar
  27. Sundaram RM, Vishnupriya MR, Laha GS, Rani NS, Rao PS, Balachandran SM, Reddy GA, Sharma NP, Sonti RV (2009) Introduction of bacterial blight resistance into Triguna, a high yielding, mid-early duration rice variety. Biotechnol J 4:400–407View ArticlePubMedGoogle Scholar
  28. Wang GL, Valent B (2009) Advances in genetics, genomics and control of Rice blast disease. Springer Science+Business Media B.V, DordrechtView ArticleGoogle Scholar
  29. Wulff EG, Sørensen JL, Lübeck M, Nielsen KF, Thrane U, Torp J (2010) Fusarium spp. associated with rice Bakanae: ecology, genetic diversity, pathogenicity and toxigenicity. Environ Microbiol 12:649–657View ArticlePubMedGoogle Scholar
  30. Yang CD, Guo LB, Li XM, Ji ZJ, Ma LY, Qian Q (2006) Analysis of QTLs for resistance to rice bakanae disease. Chin J Rice Sci 6:657–659Google Scholar
  31. Yang HF, Wang ZY, HZ W, Zhu CH (2003) Study on the variation of rice bakanae under the different methods of seedling raising. J Anhui Agric Sci 31:119–124Google Scholar
  32. Yasuda N, Mitsunaga T, Hayashi K, Koizumi S, Fujita Y (2015) Effects of pyramiding quantitative resistance genes pi21, Pi34, and Pi35 on rice leaf blast disease. Plant Dis 99:904–909View ArticleGoogle Scholar
  33. Ye S, Dhillon S, Ke X, Collins AR, Day IN (2001) An efficient procedure for genotyping single nucleotide polymorphisms. Nucleic Acids Res 29:E88View ArticlePubMedPubMed CentralGoogle Scholar


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