Mapping quantitative trait loci controlling sheath blight resistance in two rice cultivars (Oryza sativa L.)

Zou, Juan; X, Pan; Chen, Z. X.; Xu, Jianjun; Lü, Jie; Zhai, Wenxue; Zhu, Lihuang

doi:10.1007/s001220051517

Cited by 174 publications

(188 citation statements)

References 12 publications

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“…2). Higher summer temperatures along with drought may have resulted in low moisture microclimate in the Weld, which may have inXuenced disease development as seen in other studies such as QTL controlling sheath blight resistance in rice (Zou et al 2000). The location eVect can be explained by the geographical location of the plots.…”

Section: Discussionmentioning

confidence: 92%

Mapping QTL for dollar spot resistance in creeping bentgrass (Agrostis stolonifera L.)

Chakraborty

Curley

Warnke³

et al. 2006

Theor Appl Genet

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Dollar spot caused by Sclerotinia homoeocarpa F. T. Bennett is the most economically important turf disease on golf courses in North America. Dollar spot resistance in a creeping bentgrass cultivar would greatly reduce the frequency, costs, and environmental impacts of fungicide application. Little work has been done to understand the genetics of resistance to dollar spot in creeping bentgrass. Therefore, QTL analysis was used to determine the location, number and eVects of genomic regions associated with dollar spot resistance in the Weld. To meet this objective, Weld inoculations using a single isolate were performed over 2 years and multiple locations using progeny of a full sib mapping population '549 £ 372'. Dollar spot resistance seems to be inherited quantitatively and broad sense heritability for resistance was estimated to be 0.88. We have detected one QTL with large eVect on linkage group 7.1 with LOD values ranging from 3.4 to 8.6 and explaining 14-36% of the phenotypic variance. Several smaller eVect QTL speciWc to rating dates, locations and years were also detected. The association of the tightly linked markers with the LG 7.1 QTL based on 106 progeny was further examined by single marker analysis on all 697 progeny. The high signiWcance of the QTL on LG 7.1 at a sample size of 697 (P < 0.0001), along with its consistency across locations, years and ratings dates, indicated that it was stable over environments. Markers tightly linked to the QTL can be utilized for marker-assisted selection in future bentgrass breeding programs.

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Section: Discussionmentioning

confidence: 92%

Mapping QTL for dollar spot resistance in creeping bentgrass (Agrostis stolonifera L.)

Chakraborty

Curley

Warnke³

et al. 2006

Theor Appl Genet

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“…However, no rice cultivar has been found completely resistant to the soilborne fungus so far [5,69]. Biocontrol of RSB has been reported and well documented.…”

Section: Introductionmentioning

confidence: 99%

Biocontrol activities of bacteria from cowdung against the rice sheath blight pathogen

Yang

Zhang²,

YiQing

et al. 2017

J Plant Dis Prot

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To discover bacteria with potential biocontrol activity against the rice sheath blight (RSB) pathogen, Rhizoctonia solani, cowdung (CD) associated bacteria were screened for antifungal activity a dual-culture method. Five potential biocontrol bacteria were identified to species-level based on their colony morphology, physiology, biochemical characteristics, utilization of carbon sources, micromorphology and 16S rRNA sequences. The ability of two selected strains to inhibit RSB was evaluated in vivo and in vitro. The median effective concentration (EC 50 ) of crude extract from Streptomyces cochorusii strain NF0919 (NF0919) culture filtrate was 1.3 lg ml -1 , lower than the EC 50 of Jinggangmycin (a commercial antifungal agent widely used in China). At a concentration of 25.0 lg ml -1 , the crude extract completely inhibited mycelial growth of R. solani. The field biocontrol efficacy after spraying 7 days in 2013 and in 2014 was 78.4 and 98.1% with crude extract from NF0919 culture filtrate and 71.1 and 94.2% with fresh cells of Bacillus amyloliquefaciens strain SB177 (SB177). Results from the 2-year field experiment suggested that the crude extract from NF0919 culture filtrate or fresh cells of SB177 provided better disease control than other fungicides (Jinggangmycin and/ or Kresoxim-methyl). S. cochorusii strain NF0919 and B. amyloliquefaciens strain SB177 have good potential for field application and commercial use against the RSB pathogen.

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“…Previous studies in rice have contributed to the development of several hundred microsatellite markers and a genetic map consisting of 320 SSRs (Wu and Tanksley 1993;Akagi et al 1996;Panaud et al 1996;Chen et al 1997;Temnykh et al 2000). These markers have been used to analyze diversity (Yang et al 1994;Olufowote et al 1997;Cho et al 2000;Harrington 2000) and to locate genes and QTLs on rice chromosomes using both intra-and interspecific crosses (Xiao et al 1998;Bao et al 2000;Zou et al 2000;Bres-Patry et al 2001;Moncada et al 2001). SSRs are increasingly useful for integrating the genetic, physical, and sequence-based maps of rice, and they simultaneously provide breeders and geneticists with an efficient tool to link phenotypic and genotypic variation.…”

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confidence: 99%

Computational and Experimental Analysis of Microsatellites in Rice (Oryza sativa L.): Frequency, Length Variation, Transposon Associations, and Genetic Marker Potential

Temnykh¹,

DeClerck²,

Lukashova³

et al. 2001

Genome Res.

1,359

1,028

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A total of 57.8 Mb of publicly available rice (Oryza sativa L.) DNA sequence was searched to determine the frequency and distribution of different simple sequence repeats (SSRs) in the genome. SSR loci were categorized into two groups based on the length of the repeat motif. Class I, or hypervariable markers, consisted of SSRs Ն20 bp, and Class II, or potentially variable markers, consisted of SSRs Ն12 bp <20 bp. The occurrence of Class I SSRs in end-sequences of EcoRI-and HindIII-digested BAC clones was one SSR per 40 Kb, whereas in continuous genomic sequence (represented by 27 fully sequenced BAC and PAC clones), the frequency was one SSR every 16 kb. Class II SSRs were estimated to occur every 3.7 kb in BAC ends and every 1.9 kb in fully sequenced BAC and PAC clones. GC-rich trinucleotide repeats (TNRs) were most abundant in protein-coding portions of ESTs and in fully sequenced BACs and PACs, whereas AT-rich TNRs showed no such preference, and di-and tetranucleotide repeats were most frequently found in noncoding, intergenic regions of the rice genome. Microsatellites with poly(AT)n repeats represented the most abundant and polymorphic class of SSRs but were frequently associated with the Micropon family of miniature inverted-repeat transposable elements (MITEs) and were difficult to amplify. A set of 200 Class I SSR markers was developed and integrated into the existing microsatellite map of rice, providing immediate links between the genetic, physical, and sequence-based maps. This contribution brings the number of microsatellite markers that have been rigorously evaluated for amplification, map position, and allelic diversity in Oryza spp. to a total of 500.[Clone sequences for 199 markers (RM1-RM88, RM200-RM345) developed in this lab are available as GenBank accessions AF343840-AF343869 and AF344003-AF344169.]Microsatellites are tandemly arranged repeats of short DNA motifs (1-6 bp in length) that frequently exhibit variation in the number of repeats at a locus. Because of their abundance and inherent potential for variation, these simple sequence repeats (SSRs) have become a valuable source of genetic markers. Previous studies in rice have contributed to the development of several hundred microsatellite markers and a genetic map consisting of 320

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Mapping quantitative trait loci controlling sheath blight resistance in two rice cultivars (Oryza sativa L.)

Cited by 174 publications

References 12 publications

Mapping QTL for dollar spot resistance in creeping bentgrass (Agrostis stolonifera L.)

Mapping QTL for dollar spot resistance in creeping bentgrass (Agrostis stolonifera L.)

Biocontrol activities of bacteria from cowdung against the rice sheath blight pathogen

Computational and Experimental Analysis of Microsatellites in Rice (Oryza sativa L.): Frequency, Length Variation, Transposon Associations, and Genetic Marker Potential

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