Literature DB >> 35656367

Virulence Pattern of Pyricularia oryzae Pathotypes Towards Blast Monogenic Lines.

Siti Norsuha Misman1, Mohd Shahril Firdaus Ab Razak2, Nur Syahirah Ahmad Sobri1, Latiffah Zakaria3.   

Abstract

Rice blast caused by Pyricularia oryzae (P. oryzae) is one of the most serious diseases infecting rice worldwide. In the present study, virulence pattern of six P. oryzae pathotypes (P0.0, P0.2, P1.0, P3.0, P7.0 and P9.0) identified from the blast pathogen collected in Peninsular Malaysia, were evaluated using a set of 22 IRRI-bred blast resistance lines (IRBL) as well as to determine the resistance genes involved. The information on the virulence of the blast pathotypes and the resistance genes involved is important for breeding of new rice variety for durable resistance against blast disease. The IRBL was established from 22 monogenic lines, harbouring 22 resistance genes [Pia, Pib, Pii, Pit, Pi3, Pi5(t), Pish, Pi1, Pik, Pik-s, Pik-m, Pik-h, Pik-p, Pi7(t), Pi9, Piz, Piz-5, Piz-t, Pi19, Pi20(t), Pita-2, and Pita=Pi4(t)]. Based on the disease severity patterns, the tested pathotypes were avirulence towards seven IRBLs [IRBLi-F5, IRBLk-Ka, IRBLkh-K3, IRBLz-Fu, IRBLsh-S, IRBLPi7 (t) and IRBL9-W] of which these IRBLs harbouring Pii, Pik, Pik-h, Piz, Pish, Pi7(t) and Pi9 resistance genes, respectively. Therefore, the results suggested that the seven IRBLs carrying seven resistance genes [Pii, Pik, Pik-h, Piz, Pish, Pi7(t) and Pi9] would be suitable candidates of resistance genes to be incorporated in new breeding lines to combat the current blast pathotypes in the field. © Penerbit Universiti Sains Malaysia, 2021.

Entities:  

Keywords:  Corak Kevirulenan; Karah Padi; Pathotypes; Patotip; Pyricularia oryzae; Rice Blast; Virulence Patterns

Year:  2021        PMID: 35656367      PMCID: PMC9132553          DOI: 10.21315/tlsr2021.32.3.8

Source DB:  PubMed          Journal:  Trop Life Sci Res        ISSN: 1985-3718


Virulence patterns of six pathotypes of P. oryzae (P0.0, P0.2, P1.0, P3.0, P7.0 and P9.0) in Peninsula Malaysia were evaluated using a set of 22 IRRI-bred blast resistance lines (IRBL) to determine the response of the resistance genes against specific lines. Based on disease severity patterns, the six pathotypes were avirulence towards seven IRBLs [IRBLi-F5, IRBLk-Ka, IRBLkh-K3, IRBLz-Fu, IRBLsh-S, IRBLPi7 (t) and IRBL9-W] of which these IRBLs harbouring Pii, Pik, Pik-h, Piz, Pish, Pi7(t) and Pi9 resistance genes, respectively. To combat rice blast against current high frequencies of pathotypes P7.0, P0.0, P9.0 and P1.0, suitable resistance genes or donor to be incorporated for developing future rice blast resistant variety are Pii, Pik, Pik-h, Piz, Pish, Pi7(t) and Pi9.

INTRODUCTION

Blast disease caused by Pyricularia oryzae (P. oryzae) (synonym Magnaporthe oryzae) is one of most serious disease of rice worldwide including Malaysia. The most effective and practical method to control blast disease is the use of resistant rice varieties. However, the resistance often breakdown or lost in a few years after the rice variety was released. This is caused by the appearance of new virulence pathotypes or races of the blast pathogen that overcome the resistance (Zhou ) as well as due to high variability of rice blast pathogen (Wang ; Poonsin & Parinthawong 2020). In order to develop more effective resistance against blast pathogen, it is important to have the knowledge of the host resistance and the pathogen as well as to determine the resistance genes. The interaction between rice plant and blast pathogen is based on gene-for-gene theory by Flor (1971) of which for every resistance gene (R gene) in the host, there is a corresponding avirulence gene (AVR) in the pathogen. Thus, in blast disease pathosystem, a major resistance gene confers specific resistance to a blast pathogen pathotype that contains a specific corresponding avirulence gene. In other words, every resistance gene in the host corresponds to an avirulence gene in the pathogen that acts as an effector to triggers the defence response (Wang ; Huang ). To study the resistance and avirulence genes interaction, differential system comprising rice differential varieties and blast pathogen pathotypes are often used. This system provide systematic method to characterise and to postulate the resistance genes as well as to determine the relationships between pathotypes and the resistance genes (Koide ). The information can be used to strategise effective and lasting method to manage blast disease of rice. Differential varieties distinguish pathotypes by their differential reactions to the blast pathogen. Current pathotype identification by using local differential varieties is useful to study the pathological diversity of P. oryzae population for pathotype identification and to characterise the blast isolates, but it is not sufficient to distinguish and characterise in detail blast pathotypes as the system lack the information on the genes involved in these local differential varieties. Thus, a set of international differential varieties harbouring resistance genes is frequently used to determine blast pathotypes virulence patterns. A set of international blast differential varieties were developed by collaborative effort between International Rice Research Institute (IRRI) and Japan International Research Center for Agricultural Sciences (JIRCAS). The international blast differential varieties consisted of 23 monogenic lines of IRRI-bred blast-resistant line (IRBL) that representing 23 resistance genes, namely Pish, Pia, Pib, Pit, Pii, Pi1, Pi3, Pi5(t), Pik, Pik-s, Pik-m, Pik-h, Pik-p, Pi7(t), Pi9, Piz, Piz-5, Piz-t, Pita-2, Pita, Pi12(t), Pi19(t) and Pi20(t) with the genetic background of a Chinese Lijiang Xintuan Heigu (LTH) rice variety from blast-susceptible Japonica variety (Tsunematsu ; Kobayashi ). This differential system is used for identification of pathotype virulence, virulence pattern between the blast pathotypes and predicting the resistance gene(s) in rice varieties (Telebanco-Yanoria ). In Peninsular Malaysia, six pathotypes P0.0, P0.2, P1.0, P3.0, P7.0 and P9.0 of P. oryzae were identified from blast disease samples collected from 2014–2016 (Siti Norsuha & Latiffah 2019). Thus, the objectives of this study were to evaluate the virulence patterns of the blast pathotypes using international differential varieties and to predict the resistance genes corresponded to the blast pathotypes.

MATERIALS AND METHODS

Blast Monogenic Lines

In this study, a set of international differential varieties consisting of 22 IRBLs carrying 22 resistance genes [Pia, Pib, Pii, Pit, Pi3, Pi5(t), Pish, Pi1, Pik, Pik-s, Pik-m, Pik-h, Pik-p, Pi7(t), Pi9, Piz, Piz-5, Piz-t, Pi19, Pi20(t), Pita-2 and Pita=Pi4(t) and a susceptible control, LTH (Table 1) were used to evaluate the virulence of six pathotypes identified in Peninsular Malaysia. The resistance genes present in each line was predicted based on their reaction patterns to the IRBL. Only 22 IRBL lines were used in the present study as the seeds of IRBL12-M did not germinate and thus was not included in the study.
Table 1

International differential varieties consisting of 22 IRRI-bred blast resistance lines (IRBL) and target resistant genes.

Designation of IRBLsTarget resistant gene
IRBLa-A Pia
IRBLi-F5 Pii
IRBLks-S Pik-s
IRBLk-Ka Pik
IRBLkp-K60 Pik-p
IRBLkh-K3 Pik-h
IRBLz-Fu Piz
IRBLz5-CA Piz-5
IRBLzt-T Piz-t
IRBLta-K1 Pita=Pi4(t)
IRBLb-B Pib
IRBLt-K59 Pit
IRBLsh-S Pish
IRBL1-CL Pi1
IRBL3-C4 Pi3
IRBLP5-M Pi5(t)
IRBLPi7(t) Pi7(t)
IRBL9-W Pi9
IRBL19-A Pi19
IRBLPik-m Pik-m
IRBL20-IR24 Pi20(t)
IRBLta2-Re Pita-2

Other varieties evaluated

Lijiang Xintuan Heigu (LTH)Susceptible
MR211 (MARDI released varieties)Susceptible check
MR84 (MARDI released varieties)Resistant check
Sowing of the seeds and inoculum preparation were synchronised. Seeds were pre-germinated and sown in a plastic tray (26 cm × 37 cm) with sieved top soil mixed with cow dung. The seedlings were fertilised with urea (150N kg/ha) 2–3 days before inoculation.

Inoculum preparation

P. oryzae pathotypes used in this study were P13-1.3 (P0.0), K3-1.1 (P0.2), K11-8.1 (P1.0), B10-2.3 (P3.0), K8-1.2 (P7.0) and P14-4.2 (P9.0). Culture of the six P. oryzae pathotypes were sub-cultured and grown on oatmeal agar (OMA) at room temperature for 14 days. The OMA was manually prepared and to prepare 1L of the medium, rolled oats (50 g), sucrose (5 g) and agar (16 g) were used and distilled water was added to made up 1L of the medium. The medium was sterilised at 121°C for 15–20 min. The inoculum preparation was done according to Hayashi . Mycelia grown on OMA were scraped with spatula and the plates were left open in a tray covered with wrapping plastic. The plates were then placed under exposure of fluorescent light at 25°C ± 2°C for 4–7 days in order to induce sporulation. To prepare a conidial suspension, the plates were flooded with distilled water and the conidia were gently scraped using a brush. The conidial suspensions were filtered through nylon mesh and the concentrations of the suspensions were adjusted to 1×105 spores/ml by using a haemocytometer.

Inoculation of P. oryzae pathotypes

Rice seedlings at 3–4 leaf stage were inoculated with different pathotypes of blast isolates by spraying the conidial suspension simultaneously using a motorised sprayer. The inoculated seedlings were placed in a dark chamber with a moisture-saturated atmosphere at 25°C–30°C for 24 hr. The seedlings were then transferred to a mist room with high humidity for 6 days (Hayashi ). The seedlings were arranged in complete randomised design with three replicates in a plant house at MARDI Seberang Perai, Pulau Pinang, Malaysia. The inoculation and evaluation were repeated twice.

Disease assessment

Disease severity was assessed 7 days after inoculation using disease scale as described by Goto and Yamanaka (1968) and Mackill and Bonman (1992) (Table 2). Disease assessment scored as 0 to 2 is categorised as resistant (R) and scored 3 to 5 is categorised as susceptible (S) as described by Hayashi . Percentage of resistant or susceptible reaction was calculated as follows:
Table 2

Disease scale for blast disease assessment on IRBLs.

ScaleBlast symptom
0No evidence of infection.
1Brown specks smaller than 0.5 mm in diameter. No sporulation. Uniform or scattered brown specks.
2Brown specks about 0.5 mm–1.0 mm in diameter. Small lesions with distinct tan centre which surrounded by a darker brown margin approximately 1 mm in diameter. No sporulation.
3Roundish to elliptical lesion about 1 mm–3 mm in diameter with gray centre surrounded by brown margins. Small eyespot lesions less than one and a half times the interval between thin veins or less than 1.5 mm in diameter surrounded by dark brown, lesions capable of sporulation.
4Typical spindle shaped blast lesion capable of sporulation, 3 mm or longer with necrotic gray centre and water soaked brown margins with little or no coalescence of lesion. Intermediate size eyespot lesions less than twice the size of interval between thin veins or less than 2 mm in diameter.
5Lesions as in scale 4 but about half of one or two leaf blade killed by coalescence of lesion. Large eyespot lesions sized more than twice the size of interval between thin veins or more than 2 mm in diameter.

Statistical analysis

SAS statistical software package version 9.4 (SAS Institute, Cary, NC) was used for statistical analysis. Disease score for virulence analysis was found to be non-normally distributed, therefore the data was analysed using nonparametric method: Kruskal-Wallis test (p ≤ 0.05). Cluster analysis was conducted to classify the pathotypes based on the disease severity patterns. For cluster analysis, disease scores were converted to binary system where the resistant reaction was scored as 0 while the susceptible reaction was scored as 1. The binary data of the disease score was entered for analysis using NTSYS-pc 2.2 software (Rohlf 2005). Dendogram of cluster analysis was performed based on matrix of similarities between all pair of isolates (Jaccard coefficient) by Unweighted Pair Group Method with Arithmetic Mean (UPGMA). Jaccard coefficient was chosen as the coefficient measured similarity between all pair of isolates and negative matches are not counted (Romesburg 1984).

RESULTS AND DISCUSSION

Disease severity pattern of IRBL to the six blast pathotypes identified in Peninsular Malaysia is shown in Table 3. Determination on the virulence pattern of the six pathotypes (P0.0, P0.2, P1.0, P3.0, P7.0 and P9.0) would help to reveal the response of the resistance genes against specific lineages by using a set of international differential variety.
Table 3

Disease severity pattern of IRBL to six P. oryzae pathotypes identified in Peninsular Malaysia.

Designation of IRBLResistance GeneP0.0P0.2P1.0P3.0P7.0P9.0
IRBLa-A Pia RSSRSS
IRBLi-F5 Pii RRRRRR
IRBLks-S Pik-s RRRRSS
IRBLk-Ka Pik RRRRRR
IRBLkp-K60 Pik-p SRRRRR
IRBLkh-K3 Pik-h RRRRRR
IRBLz-Fu Piz RRRRRR
IRBLz5-CA Piz-5 RRRRSS
IRBLzt-T Piz-t SRSSSS
IRBLta-K1 Pita=Pi4(t) RRSRRR
IRBLb-B Pib SSSSSS
IRBLt-K59 Pit SSSSSS
IRBLsh-S Pish RRRRRR
IRBL1-CL Pi1 RSRRSR
IRBL3-C4 Pi3 RSSSSS
IRBLP5-M Pi5(t) SRRRRR
IRBLPi7(t) Pi7(t) RRRRRR
IRBL9-W Pi9 RRRRRR
IRBL19-A Pi19 SRSRRR
IRBLPik-m Pik-m SRRRRR
IRBL20-IR24 Pi20(t) SSRRSR
IRBLta2-Re Pita-2 RSSRRR
Lijiang Xintuan Heigu (LTH)SusceptibleRSSSSS
MR 211SRSRSS
MR 84RRRRRR

Note: R = Resistant, S = Susceptible, ‘-‘ = information on the resistance gene is not available.

Based on the reactions of 22 IRBL harbouring 22 resistance genes [Pia, Pib, Pii, Pit, Pi3, Pi5(t), Pish, Pi1, Pik, Pik-s, Pik-m, Pik-h, Pik-p, Pi7(t), Pi9, Piz, Piz-5, Piz-t, Pi19, Pi20(t), Pita-2, and Pita=Pi4(t)] and LTH, the results showed that seven IRBLs, IRBLi-F5, IRBLk-Ka, IRBLkh-K3, IRBLz-Fu, IRBLsh-S, IRBLPi7(t) and IRBL9-W, harbouring Pii, Pik, Pik-h, Piz, Pish, Pi7(t) and Pi9, respectively were resistant to all pathotypes evaluated. Meanwhile, IRBL carrying resistance genes, Pib (IRBLb-B) and Pit (IRBLt-K59) were susceptible to all pathotypes tested. This suggested that the resistance genes are not suitable to be incorporated in developing new resistant variety. Virulence of the pathotypes was determined by analysing the disease score scale using Kruskal-Wallis test. The analysis showed that the difference in median of disease score were significant among the six pathotypes (p ≤ 0.001) as shown in Table 4. Among the pathotypes evaluated, pathotype P7.0 was the most virulent based on the highest mean ranking value of 248.01. The second virulent pathotype based on the mean ranking value was P1.0 followed by pathotypes P0.0, P9.0 P0.2 and P3.0.
Table 4

Disease score based on disease severity of IRBL against six pathotypes of P. oryzae.

Pathotype N MedianMean rank
P7.0742.00248.01
P1.0751.70245.87
P0.0752.00233.93
P9.0751.60226.39
P0.2741.20220.41
P3.0750.40191.22

Note: Chi-square, H = 17.33 with df = 5 at p ≤ 0.05; Disease score = 0 to 5.

Based on the disease severity pattern, the number and percentage of IRBL showed resistant or susceptible reactions to the six blast pathotypes is shown in Table 5. The results indicated similar ranking patterns of virulence from Kruskal-Wallis test where pathotype P7.0 showed the highest virulence among the pathotypes with 40.9% of the IRBL were susceptible, followed by pathotypes P0.0 and P1.0 with the percentage of susceptible reaction of 36.4%. Both pathotypes P0.2 and P9.0 were considered as intermediate virulence to the IRBL tested with percentage of susceptible reaction of 31.8%. Subsequently, pathotype P3.0 was the least virulent pathotype where 81.8% of the IRBL were resistant.
Table 5

Number and percentage of IRBL showed resistant or susceptible reactions to six P. oryzae pathotypes.

PathotypeResistantSusceptible


Number%Number%
P0.01463.6836.4
P0.21568.2731.8
P1.01463.6836.4
P3.01881.8418.2
P7.01359.1940.9
P9.01568.2731.8
The most virulent pathotype, P7.0 which also the dominant pathotype in rice field in Peninsular Malaysia (Siti Norsuha & Latiffah 2019) was avirulent to 13 IRBL, namely IRBLi-F5, IRBLk-Ka, IRBLkh-K3, IRBLz-Fu, IRBLta-K1, IRBLsh-S, IRBLP5-M, IRBLPi7(t), IRBL9-W, IRBL19-A, IRBLPik-m and IRBLta2-Re which harbour the resistance genes Pii,Pik, Pik-p, Pik-h, Pita, Pish, Pi7(t), Pi9, Pi19, Pik-m and Pita-2, respectively. In particular, IRBL carrying Pii, Pik, Pik-h, Piz, Pish, Pi7(t) and Pi9 were observed to be resistant to all pathotypes evaluated. The least virulent pathotype, P3.0 was virulent to IRBLzt-T, IRBLb-B, IRBLt-K59 and IRBL3-C4, carrying resistance genes Piz-t, Pib, Pit and Pi3, respectively. Pathotype P0.0 was avirulent to susceptible control variety, LTH. The results suggested that LTH may harboured the genes that confer specific resistance to pathotype P0.0. Similar results were reported by Fukuta of which 3.3% of blast isolates tested in Cambodia showed avirulence to LTH, suggesting that the susceptible variety may contain resistance genes in its genetic background. However, according to Ling the resistance genes in LTH were of minor importance, and Tsunematsu reported major resistance genes have not been identified in LTH. Based on the disease severity pattern, each pathotype was either virulent or avirulent on specific monogenic lines and the monogenic lines were also susceptible or resistant against specific pathotypes. Ellingboe and Chao (1994) described that the ability of a plant to express resistance depends on the genotype of the pathogen. Thus, the results from this study was an agreement with the gene-for-gene hypothesis by Flor (1971) of which the presence of major resistance gene (R gene) in the plant is effective in recognising avirulence gene (AVR gene) in P. oryzae pathotypes (Jones & Dangl 2006; Lu ). Subsequently, the race-specific pathogen recognition will trigger the signal transduction events that lead to pathogen invasion and their virulence functions. Results from this study shown the avirulence of all pathotypes evaluated to IRBL harbouring R genes, Pii, Pik, Pik-h, Piz, Pish, Pi7(t) and Pi9. The results suggested that the six pathotypes may contain the AVR gene, avr-Pii, avr-Pik, avr-Pik-h, avr-Piz, avr-Pish, avr-Pi7(t) and avr-Pi9 that recognised R gene in their respective IRBL. Therefore, these R genes, namely Pii, Pik, Pik-h, Piz, Pish, Pi7(t) and Pi9 could be suitable candidates of resistance genes to be incorporated in the new breeding lines in terms of combating the current pathotypes in the field. Cluster analysis carried out using binary data of disease score based on Jaccard similarity coefficient is presented in a dendrogram (Fig. 1). The cluster analysis suggested the disease score can be grouped into two main clusters, I and II at similarity coefficient of 0.25. Cluster I was divided into two sub-clusters, A and B, while cluster II comprising five sub-clusters, C, D, E, F and G.
Figure 1

Cluster analysis using frequency of disease score of P.oryzae pathotypes against IRBL.

Sub-cluster A consisted of IRBLs, IRBLa-A (Pia) and IRBL3-C4 (Pi3) as well as LTH which were resistant to pathotype P0.0. Sub-cluster B consisted of IRBLt-K59 (Pit) and IRBLb-B (Pib) which were susceptible to all pathotypes tested and IRBLzt-T (Piz-t) was resistant to only P0.2. Sub-cluster C comprised IRBLi-F5 (Pii), IRBLk-Ka (Pik), IRBLkh-K3 (Pik-h), IRBLz-Fu (Piz), IRBLsh-S (Pish), IRBLPi-7(t) [Pi7(t)] and IRBL9-W (Pi-9) which were resistant to all pathotypes tested. Another group in this cluster includes IRBLkp-K60 (Pik-p), IRBLP5-M [Pi5(t)] and IRBLPik-m (Pik-m) of which these lines were susceptible to only pathotype P0.0 and resistant to the rest of the pathotypes evaluated. Sub-cluster D included IRBLta-K1 (Pita) and IRBL19-A (Pi19), both susceptible to pathotype P1.0. Only IRBLta2-Re (Pita2) was grouped in sub-cluster E of which the line was susceptible to pathotypes P0.2 and P1.0. Both sub-clusters D and E were resistant to pathotypes P3.0, P7.0 and P9.0. Sub-cluster F contained two lines, IRBLks-S (Pik-s) and IRBLz5-CA (Piz-5) which were susceptible to pathotypes P7.0 and P9.0. Two lines, RBL1-CL (Pi1) and IRBL20-IR24 [Pi20(t)] susceptible to pathotypes P0.2 and P7.0 were grouped in sub-cluster G. Pathogenicity and virulence patterns of blast isolates in many countries have been identified using differential varieties with different types and numbers of resistance gene. The present study was similar with a study conducted by Khan on the inoculation of blast isolates from fragrant rice in Bangladesh, on a set of international differential varieties consisting of 32 monogenic lines. In the study, Pish, Pi9, Pita-2 and Pita were estimated as the effective resistance genes against tested blast isolates, and 80%–90% resistance frequencies were observed. In Japan, pathogenicity study was carried out on 310 blast isolates from eight regions then challenged to a set of differential varieties consisted of 23 monogenic lines (carrying 21 resistance genes) and two near-isogenic line with the LTH genetic background. From the 310 blast isolates tested, 306 isolates (98.7%) were found to be virulent to IRBLsh-S (Pish) (Kawasaki-Tanaka & Fukuta 2014). In contrast, the results of the present study revealed that all the pathotypes tested were avirulent to IRBLsh-S (Pish). The resistance gene Pii which could be one of suitable candidates of resistance genes to be used to develop new breeding lines, has been deployed for more than two decades in China (Duan ). However, Zhu and Li reported the rice cultivars that harbored Pii gene were resistant to only 54.6% of blast isolates evaluated in Yunnan province and 15.1% isolates from Guangdong province, respectively. Subsequently, studies conducted by Huang on blast isolates from various rice-producing regions in China revealed that 80% of the isolates were found to have complete deletions of AVR-Pii. The results suggested breakdown of Pii resistance in the rice cultivars. The Pii gene composed of five exons encoding a putative CC-NBS-LRR protein with 1025 amino acids (Takagi ). The AVR-Pii gene of blast pathogen corresponds with the host resistance gene Pii, subsequently triggers the defence response (Yoshida ). Studies conducted by Silva and Yasuda revealed that a loss of the AVR-Pii gene transforms an avirulent to a virulent fungal strain. Moreover, the AVR-Pii gene is located on chromosome 7 which is a highly unstable chromosome segment (Yasuda ; Yoshida ) which suggested a risk of gene loss and horizontal transfer events (Silva ; Rehmeyer ). Although in the present study, the blast isolates used were limited, determination on the virulence patterns of the six pathotypes of P. oryzae (P0.0, P0.2, P1.0, P3.0, P7.0 and P9.0) help to determine the response of the resistance genes against specific lines. Thus, it is an initial step to elucidate the diversity and differentiation of blast pathotypes virulence using differential varieties. The knowledge on the virulence of the blast pathotypes and the resistance genes is important for breeding of new rice variety for durable resistance against blast disease. The variability in virulence patterns of the blast pathotypes would greatly help researchers in selecting suitable donors in breeding for resistance of rice blast of which particular functioning set of genes are incorporated into a desirable rice variety for durable resistance against the blast pathogen.

CONCLUSION

In conclusion, to combat rice blast against current high frequencies of pathotypes P7.0, P0.0, P9.0 and P1.0, suitable resistance genes or donor to be incorporated for developing future rice blast resistant variety are Pii, Pik, Pik-h, Piz, Pish, Pi7(t) and Pi9. Meanwhile, Pib and Pit are not suitable resistance genes to be incorporated for developing new resistant variety considering their susceptible response to all pathotypes evaluated.
  11 in total

1.  Genetic diversity and disease control in rice.

Authors:  Y Zhu; H Chen; J Fan; Y Wang; Y Li; J Chen; J Fan; S Yang; L Hu; H Leung; T W Mew; P S Teng; Z Wang; C C Mundt
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Review 3.  The plant immune system.

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4.  MutMap-Gap: whole-genome resequencing of mutant F2 progeny bulk combined with de novo assembly of gap regions identifies the rice blast resistance gene Pii.

Authors:  Hiroki Takagi; Aiko Uemura; Hiroki Yaegashi; Muluneh Tamiru; Akira Abe; Chikako Mitsuoka; Hiroe Utsushi; Satoshi Natsume; Hiroyuki Kanzaki; Hideo Matsumura; Hiromasa Saitoh; Kentaro Yoshida; Liliana M Cano; Sophien Kamoun; Ryohei Terauchi
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5.  Phenotypic screening and molecular analysis of blast resistance in fragrant rice for marker assisted selection.

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6.  Association genetics reveals three novel avirulence genes from the rice blast fungal pathogen Magnaporthe oryzae.

Authors:  Kentaro Yoshida; Hiromasa Saitoh; Shizuko Fujisawa; Hiroyuki Kanzaki; Hideo Matsumura; Kakoto Yoshida; Yukio Tosa; Izumi Chuma; Yoshitaka Takano; Joe Win; Sophien Kamoun; Ryohei Terauchi
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Review 7.  Factors that affect the horizontal transfer of transposable elements.

Authors:  Joana C Silva; Elgion L Loreto; Jonathan B Clark
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9.  Genetic variation in resistance to blast disease (Pyricularia oryzae Cavara) in Japanese rice (Oryza sativa L.), as determined using a differential system.

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10.  Rapid evolution of avirulence genes in rice blast fungus Magnaporthe oryzae.

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Journal:  BMC Genet       Date:  2014-04-11       Impact factor: 2.797

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