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Published online 25 July 2006
Published in Crop Sci 46:1870-1878 (2006)
© 2006 Crop Science Society of America
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PLANT GENETIC RESOURCES

Identifying Novel Resistance Genes in Newly Introduced Blast Resistant Rice Germplasm

G. C. Eizengaa,*, H. A. Agramab, F. N. Leeb, W. Yana and Y. Jiaa

a USDA-ARS, Dale Bumpers National Rice Research Center, P.O. Box 1090, Stuttgart, AR 72160-1090
b Rice Res. & Ext. Ctr., Univ. of Arkansas, 2900 Hwy 130 E, Stuttgart, AR 72160

* Corresponding author (geizenga{at}spa.ars.usda.gov)


    ABSTRACT
 TOP
 ABSTRACT
 INTRODUCTION
 MATERIALS AND METHODS
 RESULTS AND DISCUSSION
 REFERENCES
 
Blast, Magnaporthe oryzae B. Couch, and sheath blight, Rhizoctonia solani Kühn, are major fungal diseases of cultivated rice (Oryza sativa L.) in the USA. Resistance to U.S. M. oryzae races was observed in 91 newly introduced rice accessions, suggesting these accessions are possible sources of novel blast resistance genes (Pi-genes) that could be incorporated into U.S. rice cultivars. The genes Pi-ta and Pi-b have been introduced into U.S. cultivars and characterized molecularly. The objective of this research was to identify new Pi-genes in the aforementioned accessions by differentiating known Pi-genes, determining relatedness of the accessions with SSR markers, and identifying associations of SSR markers with blast resistance and sheath blight resistance. Twenty-seven accessions were identified with resistance to U.S. blast races and as having neither the Pi-ta nor Pi-b gene. Based on 125 SSR markers distributed over the rice genome, 11 of the 27 accessions were closely related to each other, but the remaining 16 accessions had varying levels of genotypic diversity, including two accessions selected from crosses of the Asian cultivated species, O. sativa, with the African cultivated species, O. glaberrima. Blast resistance traits were associated with 32 of the 125 SSR markers and sheath blight resistance traits with 19 markers. Of the 32 blast-associated markers, 20 were located in chromosomal regions previously identified as containing Pi-genes. The remaining 12 markers will provide the basis for discovering additional Pi-genes.

Abbreviations: Polymerase chain reaction (PCR) • Quantitative trait locus (QTL) • Simple sequence repeat (SSR) • Nucleotide-binding site leucine-rich repeat (NBS-LRR)


    INTRODUCTION
 TOP
 ABSTRACT
 INTRODUCTION
 MATERIALS AND METHODS
 RESULTS AND DISCUSSION
 REFERENCES
 
PLANT breeders often use cultivars developed in other countries to broaden the germplasm base for developing improved cultivars. Dilday (1990) observed that all U.S. rice cultivars developed before 1990 could be traced back to 22 plant introductions that were made into the southern USA (Arkansas, Louisiana, Texas) and 23 introductions made into California. To expand the germplasm base of U.S. cultivars most rice breeding programs are incorporating more diverse rice germplasm into the cultivars being developed (Mackill and McKenzie, 2003). Using 169 SSR markers, Lu et al. (2005) genotyped 145 U.S. rice cultivars and showed cultivars released more recently clustered close to older cultivars in their pedigree. In addition, the cultivars clustered based on their subspecies (tropical japonica, temperate japonica, or indica) and grain type (long,medium, or short grain).

Blast (Couch and Kohn, 2002), causes major rice yield losses worldwide with resistant cultivars and fungicides being the primary methods of disease control (Bonman, 1992; Lee, 1994). Based on the rice genome sequence, Monosi et al. (2004) determined that the rice genome carries approximately 500 nucleotide-binding site (NBS)-leucine-rich repeat (LRR) genes. Many of these NBS-LRR regions are associated with a broad spectrum of disease resistance genes (R-genes), as initially reported for the rice blast resistance genes, Pi-ta (Bryan et al., 2000) and Pi-b (Wang et al., 1999). Monosi et al. (2004) determined the distribution of the NBS-encoding genes in the ‘Nipponbare’ rice genome and identified the approximate map position of blast resistance (designated Pi-) genes, which had been previously mapped to a chromosome region based on phenotype, using various mapping populations. The U.S. rice breeding programs incorporated Pi-ta from the Vietnamese landrace Tetep into ‘Katy’ (Moldenhauer et al., 1990) and Pi-b from the Chinese cultivar Te Qing into ‘Saber’ (McClung et al., 2004). In an effort to utilize molecular markers as part of U.S. breeding programs, SSR markers associated with resistance to Pi-b, Pi-kh, Pi-ks, Pi-ta, and Pi-z were identified in the background of U.S. cultivars (Conaway-Bormans et al., 2003; Fjellstrom et al., 2004, 2006; Jia et al., 2004b).

Rice sheath blight is another major fungal disease of rice worldwide (Rush and Lee, 1992). Recently, Pinson et al. (2005) confirmed six previously identified QTLs for sheath blight resistance and identified eight new QTLs. Three of the confirmed QTLs were independent for plant height and maturity which affect sheath blight resistance. Based on identification of the aforementioned sheath blight resistance QTLs, additional studies are in progress to further map sheath blight resistance genes.

To characterize additional rice germplasm useful to U.S. rice breeders Dilday et al. (2001), Yan et al. (2002), Lee et al. (2003), and Yan et al. (2003) conducted field evaluations on approximately 1000 rice germplasm accessions recently introduced into the USA. Accessions were evaluated for desirable agronomic characteristics and for resistance to the two major diseases blast and sheath blight. Ninety-one accessions identified as blast resistant in the field tests were selected for further greenhouse tests to determine resistance to blast races commonly found in the USA (Correll et al., 2000). The objective of this research was to identify new blast resistance genes in the 91 selected resistant accessions by (i) differentiating known Pi-genes, (ii) determining relatedness of the accessions with SSR markers, and (iii) identifying associations of SSR markers with blast resistance, sheath blight resistance, and/or the morphological traits, plant height and heading date, that affect the expression of sheath blight resistance.


    MATERIALS AND METHODS
 TOP
 ABSTRACT
 INTRODUCTION
 MATERIALS AND METHODS
 RESULTS AND DISCUSSION
 REFERENCES
 
Included in this study were 91 rice accessions recently introduced into the USDA-ARS National Plant Germplasm System, ten U.S. cultivars as controls, Bengal (PI561535), Cocodrie (PI606331), Drew (PI596758), Katy (PI527707), LaGrue (PI568891), Lemont (PI475833), Newbonnet (PI474580), Wells (Moldenhauer et al., 2000), Saber (PI633624), and Zenith (Mackill and McKenzie, 2003). Zenith (CIor7787) is an old cultivar that is currently used as a control in greenhouse blast screening and Te Qing (PI536047) is a cultivar from Guangdong, China. Further information on the accessions and cultivars is available through the USDA-ARS National Plant Germplasm System (http://www.ars-grin.gov/npgs/ ; verified 22 May 2006).

Genomic DNA was extracted from leaf tissue using a CTAB method (Eizenga and Phillips, 1997) or the DNeasy Plant Mini Kit (Qiagen, Valencia, CA) per the manufacturer's instructions. Three dominant markers for the resistant Pi-ta allele, one dominant marker for the susceptible pair of pi-ta dominant primers (Jia et al., 2002), and one pair of Pi-b dominant primers (Fjellstrom et al., 2004) were used to determine the presence of Pi-ta, pi-ta and Pi-b, respectively. The presence or absence of these PCR products was visualized on a 1% agarose gel.

One hundred eighty-three SSR markers were selected from the core set developed and mapped by McCouch et al. (2002). Previously, 169 of these SSR markers were used to genotype 145 U.S. rice cultivars (Lu et al., 2005) and 239 rice accessions from a diverse origin (Garris et al., 2005). Seven of the 125 SSR markers were previously shown to be associated with blast resistance genes Pi-b (RM208), Pi-kh, Pi-ks (RM144, RM224), Pi-ta (OSM89) and Pi-z (RM3431, RM5963, RM6836) in U.S. germplasm (Conaway-Bormans et al., 2003; Fjellstrom et al., 2004). Very recently, Fjellstrom et al. (2006) developed improved SSR markers for Pi-z from rice BAC AP005659. Subsequently, AP5659–1 was used to identify Pi-z in this study. The forward primers were labeled with FAM, TET, NED, or HEX fluorescent dyes and the reverse primers were unlabeled. DNA amplifications were performed using an MJ Research PTC-100 96 Plus thermal cycler. PCRs were performed in a 10 µl reaction mix containing 37.5 ng of template DNA, 1x PCR buffer, 0.025 unit of Taq DNA polymerase (Qiagen, Valencia, CA), 0.2 mmol dNTPs, and 0.8 {rho}mol of forward and reverse primers. Information on primer sequences and PCR amplification conditions for each set of primers are available at http://www.gramene.org/ ; verified 22 May 2006. PCR products were separated by size using an ABI 3700 DNA analyzer (Applied Biosystems [ABI], Foster City, CA). SSR fragment sizing was performed with Gene Scan® software (ABI) using the Local Southern Method and default analysis settings after which alleles were identified with the Genotyper® software (ABI) and binned manually. For most markers, fractional numbers were rounded to the nearest integer and alleles differing by 1 bp were declared different. SSR data, obtained from genotyping U.S. cultivars with the same ABI 3700 DNA analyzer (Lu et al., 2005), was included for comparison.

One hundred twenty-five markers (Fig. 1 ) were used for the cluster analysis. The genetic distance matrix developed according to Nei (1972) was used to determine the clusters of genotypes applying the Unweighted Pair Group Method using Arithmetic average (UPGMA) employing NTSYSpc 2.01 (Rohlf, 1997). Calculation of the Polymorphism Information Content (PIC) for each SSR marker is described by Bolstein et al. (1980). The PIC value ascertained the relative value of each marker with respect to the number of alleles at each locus and the relative allele frequency of the alleles in the accessions included in this study.


Figure 1
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Fig. 1. Diagram illustrating the location in cM of the 125 SSR markers included in this study and the approximate position of known Pi-genes as reported by Monosi et al. (2004). Marker positions are based on McCouch et al. (2002). The seven markers used to identify blast resistance genes Pi-b, Pi-kh, Pi-ks, Pi-ta (Fjellstrom et al., 2004), and Pi-z (Conaway-Bormans et al., 2003) in U.S. breeding lines are underlined. Following each SSR marker, the number of alleles associated with each SSR marker used in this study and the PIC value (Bolstein et al., 1980) are listed. Markers identified in this study as associated with blast resistance traits (Table 2) are identified in bold italics. The SSR map was designed with MapChart (Voorrips, 2002).

 

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Table 2. Significant SSR-trait associations of 40 individual SSR markers with blast race ratings, field leaf blast ratings, sheath blight ratings, plant height, and days to heading determined over the 91 accessions and eleven cultivars using simple regression in TASSEL (http://www.maizegenetics.net (Bioinformatics); verified 22 May 2006).

 
Selected morphological traits (blast disease ratings taken in the field and greenhouse, sheath blight disease ratings, days to heading and plant height) were extracted from yearly experiment station publications (Dilday et al., 2001; Yan et al., 2002; Lee et al., 2003; Yan et al., 2003; Lee, unpublished data, 2004). Blast inoculations in the field and greenhouse were according to Lee et al. (2003). All reaction to the blast inoculation was on a 0 (no lesions) to 9 (dead) rating scale. Sheath blight inoculation was according to Lee et al. (2003) and the disease was rated on a 0 (no lesions) to 9 (dead) scale. Days to heading is defined as the number of days from emergence to approximately half the plot having panicles emerged at anthesis. Plant height is defined as the distance (cm) between the ground and the tip of the uppermost panicle. The association between the SSR markers and phenotypic traits was calculated using the General Linear Model (GLM) in the TASSEL software (available at http://www.maizegenetics.net (Bioinformatics); verified 9 Jan. 2006) by simple regression. The GLM analysis tests the SSR-trait association between the segregating markers and phenotypes. The associations test a least squares solution (Searle, 1987) to the fixed effects linear model constructed in the GLM.


    RESULTS AND DISCUSSION
 TOP
 ABSTRACT
 INTRODUCTION
 MATERIALS AND METHODS
 RESULTS AND DISCUSSION
 REFERENCES
 
Identification of Resistant Accessions and Known R-genes
Table 1 summarizes data collected on 91 rice accessions initially cataloged as being blast resistant in field tests having leaf blast ratings of 4.5 or lower and the eleven cultivars used for comparison. The aforementioned accessions, selected from approximately 1000 rice accessions being introduced into the U.S. rice germplasm collection, were further evaluated in greenhouse tests to determine resistance to seven blast races that are found in the USA. Four accessions, Aijiaonante, Sheng 10, Zanuo No. 1 and 460 were quickly discovered as being susceptible, having at least two ratings of 5.5 or higher for the individual blast races and thus, were no longer considered desirable sources of new blast resistant genes. The remaining 87 accessions were confirmed as blast resistant.


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Table 1. Rice accessions rated for blast and sheath blight resistance, days to 50% heading and plant height. Disease ratings are based on a 0 (no disease) to 9 (dead) scale. Presence of the blast resistance alleles Pi-ta and Pi-b was determined using PCR-based markers. Presence of Pi-k and Pi-z alleles was based on specific alleles identified with SSR markers.

 
Dominant markers were used to screen all 91 accessions for presence of the R-genes, Pi-ta and Pi-b, which are the only blast R-genes known to have "the perfect markers" based on cloned sequence and publicly available. Both Pi-ta and Pi-b were identified in 37 of the 91 accessions, with three additional accessions having only Pi-ta and 19 accessions having only Pi-b. The remaining 32 accessions had neither Pi-b nor Pi-ta and the blast tests conducted in the greenhouse showed 27 of these 32 accessions had low resistance ratings for the races tested (Table 1). These 27 accessions are possible sources of new blast resistance genes.

Observing each accession's country of origin (Table 1) revealed that 35 of the 39 accessions from the Ivory Coast had Pi-b. Twenty-nine of the 35 accessions also had Pi-ta and a single accession (Tox 3749–71–1-1–3-2–2) only had Pi-ta. By contrast, Pi-ta was found in only two of the 36 accessions originating from China whereas, Pi-b was identified in ten accessions from China. Twenty-one Chinese accessions had excellent blast resistance and contained neither Pi-ta nor Pi-b.

Subsequent tests with SSR markers for Pi-z (Fjellstrom et al., 2006) and Pi-k alleles, Pi-ks and Pi-kh (Fjellstrom et al., 2004) indicated three (4642, Iac-47, Wab450–24–3-2-P18-hb) of the 27 accessions had one of these alleles (Table 1). Considering that (i) neither Pi-z nor Pi-k have the broad spectrum of resistance to U.S. blast races that is found in Pi-ta and Pi-b (Fjellstrom et al., 2004) and (ii) these three accessions were resistant to all U.S. blast races tested, there are additional Pi-genes present besides the possible Pi-z or Pi-k gene.

In addition to the leaf blast rating, the field data collected on the 91 accessions included sheath blight resistance and the agronomic characters, days to heading and plant height as shown in Table 1. Sheath blight resistance ratings ranged from 3.3 to 8.0 with 29 accessions rated between 3.3 and 5.0, indicating moderate field resistance to sheath blight. Because of the interaction between sheath blight resistance and later heading date (Pinson et al., 2005), it was determined that 20 of the 29 more resistant accessions took 95–110 d to heading as compared to less than 85 d for U.S. cultivars. Comparing sheath blight resistance ratings and plant height revealed 18 of the 29 resistant accessions ranged in height from 100–129 cm as compared to 100 cm or less for the more recent U.S. cultivars. Of the original 29 sheath blight resistant accessions, only three accessions, 4484, 46411 and Let 3137, did not have either a later heading date and/or a taller plant height.

SSR markers Identify the Diverse Background of the Resistant Accessions
To identify different novel R-genes it is essential to know how these resistant accessions are related to each other. Most likely different novel R-genes will be present in accessions that do not cluster closely together. A total of 125 SSR markers were used to genotype the 91 accessions and 11 cultivars used as controls. The distribution of the 125 SSR markers is shown in Fig. 1 along with the number of alleles and PIC value for the individual markers. The number of alleles present in these 125 markers ranged from 2 to 21 with 64 markers having eight or more alleles associated with them. The PIC values ranged from 0.208 to 0.870 with 73 markers having values greater than 0.700. These values indicate there is adequate polymorphism for the 125 markers tested.

Using Nei's genetic distance determination, the 91 accessions and 11 cultivars divided into two main clusters designated I and II (Fig. 2 ). The smaller cluster (I) divided into the U.S. cultivars (I-A) included for comparison, which divided into medium grain (Bengal, Zenith) and long grain types (all others). Clustered with the U.S. cultivars was a sub-cluster (I-B) containing a) two accessions, Wab450–1-B-P-62-hb and Wab450–24–3-2-P18-hb, derived from crosses of the Asian cultivated species, O. sativa, with the African cultivated species O. glaberrima Steud., b) three Egyptian accessions, GZ-5830–48–2-2, GZ-5578–2-1–2 and GZ-5594–23–1-2, and c) one each of accessions from Chengdu, China (02428); 460 donated by J. Tao from China; IAC47 developed in Brazil; and the single North Korean accession, Pyongyang 23. The cluster analysis indicated that these accessions were developed from a similar parentage.


Figure 2
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Fig. 2. Genetic distance among 91 blast resistant rice accessions and eleven controls (capitalized) as revealed by UPGMA cluster analysis and Nei (1972). The two main clusters are identified as I and II with sub-clusters denoted with letters (A-F). The controls included ten selected U.S. rice cultivars and Te Qing, which originated in China and is used as a parent in some U.S. breeding programs. Accessions in bold italics were identified as resistant to all blast isolates tested and not having one of the R-genes, Pi-b and/or Pi-ta.

 
The other main cluster (II) had sub-clusters of the accessions obtained from various sources in China and the Ivory Coast. Te Qing, which originated from Guangdong, China and is being used as a parent in U.S. breeding programs, was distantly clustered in this group. Other accessions originating from China which cluster together include the following sub-clusters: II-B with twelve accessions donated to the U.S. rice germplasm collection from one source (J. Tao); II-A with five accessions from Hongzhou, three from Chengdu, one from Hunan and Guang-6ai-4; and II-C with accessions from several regions Chengdu, Hongzhou, Kumming and J. Tao. The presence of these sub-clusters suggests several of these accessions have a similar parentage. Accessions obtained from the Ivory Coast subdivided into three sub-clusters (II-D, II-E, II-F). The largest cluster (II-F) included 27 accessions with three accessions [Fkr19 (Tox728–8), Tox3441–123–2-3–2-2–2, Tox3872–61–3-3–3-2–1] being more distant. The accessions that cluster closer most likely have the same parentage and those clustering more distant have one parent that was different. Sub-cluster II-D included eight accessions from the Ivory Coast, Bogra from Bangladesh, and S972B-22–1-3–1-1 from the Philippines. The remaining sub-cluster (II-E) of ten accessions included Khoia and Bhujon-Kolpo from Bangladesh; IRGA 409 from Brazil; IR56450–28–2-2–1 and RP2199–16–2-2–1 from the Philippines; Fkr48 and Tox3553–34–3-2–3-2–2 from the Ivory Coast; and Gui-99, GP-2, and Kechengnuo-4 from China. The fact that these ten accessions originated from five different countries representing three different continents, suggests some common parentage in the background of the accessions.

Figure 2 also denotes (bold, italics) the aforementioned 27 accessions identified as blast resistant and having neither Pi-b nor Pi-ta. Based on the genetic distance determination, eleven of the 27 accessions were clustered closely together and were obtained from one source (J. Tao). The remaining 16 accessions were divided among five large clusters indicating these accessions had at least five different backgrounds thus, it is likely that different novel R-genes are present in these accessions.

SSR Markers Associated with Blast and Sheath Blight
The first association mapping conducted in plants associated the flowering time of 92 inbred maize lines with polymorphisms in the Dwarf8 gene using 141 SSR markers (Thornsberry et al., 2001). Following similar methods, associations were calculated for each individual SSR marker with leaf blast field ratings, the seven individual blast race ratings, sheath blight ratings, plant height and days to heading (Table 2). Forty of the 125 SSR markers had significant associations with at least one of the aforementioned traits, and one marker, RM021, had eight traits associated with it. Thirty-three of the 40 markers were associated with at least one blast trait. The range in the number of markers associated with the individual blast races was from four markers associated with IH-1 to 17 markers with IE-1K. Thirteen markers were associated with field ratings for leaf blast and 13 with sheath blight. With traits that influence sheath blight resistance, plant height, and days to heading, eight markers were associated with plant height and four with days to heading. Five markers, RM105, RM248, RM333, RM413, and RM477, were associated with both sheath blight and days to heading, and one marker, RM541, with both sheath blight and plant height. Chromosome 11 had the most, five markers associated with nine of the 11 phenotypic traits evaluated. Four of the five markers were associated with blast resistance traits.

In Fig. 1 the SSR markers that were associated with at least one of the blast traits measured are italicized, and the approximate map location of reported blast resistance (Pi-) genes, as summarized by Monosi et al. (2004), are marked. The association mapping we performed identified valid blast resistance gene locations as evidenced by the fact that of the 32 markers associated with blast traits, 20 markers were located in regions previously reported to contain one or more Pi-gene(s) and/or QTLs for blast (Ramalingam et al., 2003). Three (RM22, RM104, RM282) of these 20 markers were only located in regions of the blast QTLs. In addition, seven (RM11, RM108, RM109, RM149, RM418, RM477, RM555) of the remaining twelve markers are located in the genetic map positions of NBS-LRR identified by Monosi et al. (2004). The remaining five markers (RM7, RM228, RM333, RM334, RM478) identified by association mapping were not in regions previously identified with blast traits and/or NBS-LRR sites.

Of the seven SSR markers discovered by Fjellstrom et al. (2004) to identify blast genes Pi-b (RM208), Pi-k (RM144, RM224), Pi-ta (OSM89), and Conaway-Bormans et al. (2003) to identify Pi-z (RM3431, RM5963, RM6836) in the background of U.S. breeding lines, only one (RM3431) was associated with blast traits in this study using more diverse germplasm. RM3431, one of three markers for Pi-z, was associated with resistance to blast races IG-1 and IE-1K. Previous studies show that Pi-z confers resistance to both of these blast races (Conaway-Bormans et al., 2003). The lack of association with RM208 and OSM89, even though dominant primers for the cloned genes suggest Pi-b is present in 56 accessions and Pi-ta in 40 accessions, is most likely due to these markers being identified in southern U.S. rice breeding lines and not the diverse background of these accessions (Fjellstrom et al., 2004; Jia et al., 2004b). Lack of association with RM144 and RM224 may be due to few accessions having the Pi-kh or Pi-ks alleles and/or the influence of the diverse background. The distance from the Pi-z locus, diverse background, or an altered Pi-z locus, may explain why only RM3431 showed an association. According to Fjellstrom et al. (2006), the original Pi-z markers, RM3431, RM5963, RM6836, are not close enough to the locus and have not always worked well for U.S. breeding programs thus, they recently developed new SSR markers for Pi-z from the rice BAC AP005659.

Early studies of Pi-k indicated a large number of alleles present at this locus (Kiyosawa, 1972; McCouch et al., 1994). More recently, studies of Pi-b (Fjellstrom et al., 2004), Pi-ta (Jia et al., 2004b) and Pi-z (Hayashi et al., 2004, Fjellstrom et al., 2006) suggest multiple alleles may also be present at these loci based on gene sequence information, mapping populations and reaction to blast isolates. In addition to affecting the association identified, slightly altered alleles also may explain why the presence/absence of Pi-b as determined with RM208 and the Pi-b dominant primer results disagreed for four accessions (Table 1).

The location of SSR markers associated with sheath blight resistance, days to heading, or plant height were compared to recently summarized QTL maps for these traits (Pinson et al., 2005; Zou et al., 2000). Based on Pinson et al. (2005; S.R. Pinson, personal communication, 2005) of the 13 markers associated with sheath blight resistance (Table 2), four (RM72, RM413, RM477, RM490) have already been identified as sheath blight resistance QTLs, seven (RM341, RM251, RM435, RM541, RM105, RM33) are near sheath blight resistance QTLs, and the remaining three markers (RM248, RM21, RM206) were not close to any previously reported sheath blight resistance QTL. Of the four markers associated with plant height, RM541 and RM552 were near previously located sheath blight resistance QTLs (Pinson et al., 2005; S.R. Pinson, personal communication, 2005); RM144 was in the same region as RM206, identified in this study as associated with sheath blight; and RM154 was not related to previously reported QTLs for sheath blight resistance or plant height. Eight markers were associated with days to heading. Comparing these associations to studies by Pinson et al. (2005; personal communication, 2005), RM464 was previously associated with late heading and a sheath blight resistance QTL; RM413 and RM477 were used as markers for sheath blight resistance QTLs; and RM149, RM105, RM304 and RM333 were located near sheath blight resistance QTLs. RM248 was identified in this study as associated with sheath blight resistance, but not in Pinson et al. (2005) or Zou et al. (2000). In summary, of the 19 SSR markers associated with sheath blight resistance, heading date, or plant height, 16 were in regions previously identified in other QTL mapping studies, indicating that most of the associations identified are supported by inheritance studies of these traits.

In conclusion, from the 91 rice germplasm accessions selected from approximately 1000 accessions, 27 accessions were identified as resistant to U.S. blast races that did not have the blast resistance genes, Pi-ta or Pi-b, already incorporated into U.S. rice cultivars. Eleven of the 27 accessions were closely related to each other but the remaining 16 accessions had varying levels of genotypic diversity, including two accessions selected from crosses with O. glaberrima, one from the Philippines and one from the Ivory Coast. Thirty-two SSR markers were associated with blast resistance traits and 19 with sheath blight resistance traits. The fact that 27 of the markers associated with blast resistance traits and 17 of the markers associated with sheath blight resistance were located in regions identified in previously published inheritance studies, strengthens the validity of our association mapping results. This documented support provides encouragement that the remaining markers may prove relevant for identifying the additional resistance genes necessary for U.S. rice breeding programs.


    ACKNOWLEDGMENTS
 
The authors acknowledge the support of Ms. H. Raeann Refeld and Dr. Hesham A. Agrama from the Arkansas Rice Research and Promotion Board. Technical contributions to this research were made by H. Raeann Refeld (RREC), Quynh P. Ho (DB NRRC), Hazel Mullins (RREC) and Guanluan Xiang, visiting scientist from Guizhou Academy of Agricultural Science, China. Contributions of Melissa H. Jia, Gordon H. Miller and the late Mark A. Redus of the DB NRRC Genomics Core Facility also are acknowledged.

Received for publication March 31, 2006.


    REFERENCES
 TOP
 ABSTRACT
 INTRODUCTION
 MATERIALS AND METHODS
 RESULTS AND DISCUSSION
 REFERENCES
 





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