Identification of quantitative trait loci for resistance to rice black-streaked dwarf virus disease and small brown planthopper in rice

Small brown planthopper (SBPH) and its transmitted rice black-streaked dwarf virus disease (RBSDVD) cause serious damage to rice (Oryza sativa L.) production. Though breeding of resistant cultivars is believed to be one of the most important strategies for RBSDVD management, few high-resistance lines have been found to date. In the present study, we identified an indica variety, 9194, that is highly resistant to RBSDVD and analyzed the quantitative trait loci (QTLs) underlying this resistance . In total, four QTLs for RBSDVD resistance, viz. qRBSDV3, qRBSDV6, qRBSDV9, and qRBSDV11, were identified. Among them, qRBSDV6, qRBSDV9, and qRBSDV11 with LOD (logarithm [base 10] of odds) scores of 4.42–4.48, 2.11–7.26, and 5.01–7.16 were repeatedly detected in 2 years, accounting for 10.3–16.7%, 8.3–35.5%, and 20.0–31.1% of the total phenotypic variation, respectively. Further, introgression of single- or multiple-resistance QTLs into a susceptible rice variety by marker-assisted selection (MAS) indicated that stacking the QTLs could progressively enhance RBSDVD resistance, suggesting that these QTLs act additively. The same population was also used for QTL mapping of SBPH resistance. Four QTLs, viz. qSBPH1, qSBPH5, qSBPH8, and qSBPH9, with LOD scores of 2.72, 2.78, 2.15, and 2.85 were detected, explaining 13.7%, 11.0%, 12.0%, and 21.0% of the phenotypic variation, respectively. The identification of RBSDVD and SBPH resistance QTLs, and the development of single and multiple genes with pyramided lines, in this study provides innovative resources for molecular breeding of resistant rice cultivars.     

Identification of candidate genes in rice for resistance to sheath blight disease by whole genome sequencing

Recent advances in whole genome sequencing (WGS) have allowed identification of genes for disease susceptibility in humans. The objective of our research was to exploit whole genome sequences of 13 rice (Oryza sativa L.) inbred lines to identify non-synonymous SNPs (nsSNPs) and candidate genes for resistance to sheath blight, a disease of worldwide significance. WGS by the Illumina GA IIx platform produced an average 5× coverage with ~700 K variants detected per line when compared to the Nipponbare reference genome. Two filtering strategies were developed to identify nsSNPs between two groups of known resistant and susceptible lines. A total of 333 nsSNPs detected in the resistant lines were absent in the susceptible group. Selected variants associated with resistance were found in 11 of 12 chromosomes. More than 200 genes with selected nsSNPs were assigned to 42 categories based on gene family/gene ontology. Several candidate genes belonged to families reported in previous studies, and three new regions with novel candidates were also identified. A subset of 24 nsSNPs detected in 23 genes was selected for further study. Individual alleles of the 24 nsSNPs were evaluated by PCR whose presence or absence corresponded to known resistant or susceptible phenotypes of nine additional lines. Sanger sequencing confirmed presence of 12 selected nsSNPs in two lines. “Resistant” nsSNP alleles were detected in two accessions of O. nivara that suggests sources for resistance occur in additional Oryza sp. Results from this study provide a foundation for future basic research and marker-assisted breeding of rice for sheath blight resistance.     

Identification of quantitative trait loci contributing resistance to aflatoxin accumulation in maize inbred Mp715

Molecular Breeding - Soybean plays an important role in seed oil production for foods and industrial products in the USA. Chemical hydrogenation of commodity soybean oil increased functionality but...     

Candidate defense genes as predictors of quantitative blast resistance in rice

Although quantitative trait loci (QTL) underpin many desirable agronomic traits, their incorporation into crop plants through marker-assisted selection is limited by the low predictive value of markers on phenotypic performance. Here we used candidate defense response (DR) genes to dissect quantitative resistance in rice using recombinant inbred (RI) and advanced backcross (BC) populations derived from a blast-resistant cultivar, Sanhuangzhan 2 (SHZ-2). Based on DNA profiles of DR genes, RI lines were clustered into two groups corresponding to level of resistance. Five DR genes, encoding putative oxalate oxidase, dehydrin, PR-1, chitinase, and 14-3-3 protein, accounted for 30.0, 23.0, 15.8, 6.7, and 5.5% of diseased leaf area (DLA) variation, respectively. Together, they accounted for 60.3% of the DLA variation and co-localized with resistance QTL identified by interval mapping. Average phenotypic contributions of oxalate oxidase, dehydrin, PR-1, chitinase, and 14-3-3 protein in BC lines were 26.1, 19.0, 18.0, 11.5, and 10.6%, respectively, across environments. Advanced BC lines with four to five effective DR genes showed enhanced resistance under high disease pressure in field tests. Our results demonstrate that the use of natural variation in a few candidate genes can solve a long-standing problem in rice production and has the potential to address other problems involving complex traits.     

Identification and mapping of two brown planthopper resistance genes in rice

The brown planthopper (BPH) is one of the most serious insect pests of rice. In this study, we conducted a molecular marker-based genetic analysis of the BPH resistance of ’B5’, a highly resistant line that derived its resistant genes from the wild rice Oryza officinalis. Insect resistance was evaluated using 250 F₃ families from a cross between ’B5’ and ’Minghui 63’, based on which the resistance of each F₂ plant was inferred. Two bulks were made by mixing, respectively, DNA samples from highly resistant plants and highly susceptible plants selected from the F₂ population. The bulks were surveyed for restriction fragment length polymorphism using probes representing all 12 chromosomes at regular intervals. The survey revealed two genomic regions on chromosome 3 and chromosome 4 respectively that contained genes for BPH resistance. The existence of the two loci were further assessed by QTL (quantitative trait locus) analysis, which resolved these two loci to a 14.3-cM interval on chromosome 3 and a 0.4-cM interval on chromosome 4. Comparison of the chromosomal locations and reactions to BPH biotypes indicated that these two genes are different from at least nine of the ten previously identified BPH resistance genes. Both of the genes had large effects on BPH resistance and the two loci acted essentially independent of each other in determining t he resistance. These two genes may be a useful BPH resistance resource for rice breeding programs. Received: 6 March 2000 / Accepted: 28 July 2000     

Identification and characterization of regions of the rice genome associated with broad-spectrum, quantitative disease resistance

Much research has been devoted to understanding the biology of plant-pathogen interactions. The extensive genetic analysis of disease resistance in rice, coupled with the sequenced genome and genomic resources, provides the opportunity to seek convergent evidence implicating specific chromosomal segments and genes in the control of resistance. Published data on quantitative and qualitative disease resistance in rice were synthesized to evaluate the distributions of and associations among resistance loci. Quantitative trait loci (QTL) for resistance to multiple diseases and qualitative resistance loci (R genes) were clustered in the rice genome. R genes and their analogs of the nucleotide binding site-leucine-rich repeat class and genes identified on the basis of differential representation in disease-related EST libraries were significantly associated with QTL. Chromosomal segments associated with broad-spectrum quantitative disease resistance (BS-QDR) were identified. These segments contained numerous positional candidate genes identified on the basis of a range of criteria, and groups of genes belonging to two defense-associated biochemical pathways were found to underlie one BS-QDR region. Genetic dissection of disease QTL confidence intervals is needed to reduce the number of positional candidate genes for further functional analysis. This study provides a framework for future investigations of disease resistance in rice and related crop species.     

Identification of novel QTL contributing resistance to aflatoxin accumulation in maize

The toxic metabolic product aflatoxin produced by the opportunistic fungus Aspergillus flavus (Link:Fr) in maize (Zea mays L.) can cause disease and economic harm when levels exceed very minute quantities. The selection of resistant germplasm has great potential to reduce the problem, but the highly quantitative nature of the trait makes this a difficult endeavor. The identification of aflatoxin accumulation resistance quantitative trait loci (QTL) from resistant donor lines and the discovery of linked markers could speed this task. To identify marker–trait associations for marker-assisted breeding, a genetic mapping population of F_2:3 families was developed from Mp715, a maize inbred line resistant to aflatoxin accumulation, and T173, a susceptible, southern-adapted maize inbred line. QTL, some with large phenotypic effects, were identified in multiple years on chromosomes 1, 3, 5, and 10, and smaller QTL identified in only 1 year were found on chromosomes 4 and 9. The phenotypic effect of each QTL ranged from 2.7 to 18.5%, and models created with multiple QTL could explain up to 45.7% of the phenotypic variation across years, indicating that the variation associated with the trait can be manipulated using molecular markers.     

Characterization of quantitative trait loci (QTLs) in cultivated rice contributing to field resistance to sheath blight (Rhizoctonia solani)

Sheath blight, caused by Rhizoctonia solani, is one of the most important diseases of rice. Despite extensive searches of the rice germ plasm, the major gene(s) which give complete resistance to the fungus have not been identified. However, there is much variation in quantitatively inherited resistance to R. solani, and this type of resistance can offer adequate protection against the pathogen under field conditions. Using 255 F₄ bulked populations from a cross between the susceptible variety Lemont and the resistant variety Teqing, 2 years of field disease evaluation and 113 well-distributed RFLP markers, we identified six quantitative trait loci (QTLs) contributing to resistance to R. solani. These QTLs are located on 6 of the 12 rice chromosomes and collectively explain approximately 60% of the genotypic variation or 47% of the phenotypic variation in the LemontxTeqing cross. One of these resistance QTLs (QSbr4a), which accounted for 6% of the genotypic variation in resistance to R. solani, appeared to be independent of associated morphological traits. The remaining five putative resistance loci (QSbr2a, QSbr3a, QSbr8a, QSbr9a and QSbr12a) all mapped to chromosomal regions also associated with increased plant height, three of which were also associated with QTLs causing later heading. This was consistent with the observation that heading date and plant height accounted for 47% of the genotypic variation in resistance to R. solani in this population. There were also weak associations between resistance to R. solani and leaf width, which were likely due to linkage with a QTL for this trait rather than to a physiological relationship.     

Coincidence in map positions between pathogen-induced defense-responsive genes and quantitative resistance loci in rice

Quantitative disease resistance conferred by quantitative trait loci (QTLs) is presumably of wider spectrum and durable. Forty-four cDNA clones, representing 44 defense-responsive genes, were fine mapped to 56 loci distributed on 9 of the 12 rice chromosomes. The locations of 32 loci detected by 27 cDNA clones were associated with previously identified resistance QTLs for different rice diseases, including blast, bacterial blight, sheath blight and yellow mottle virus. The loci detected by the same multiple-copy cDNA clones were frequently located on similar locations of different chromosomes. Some of the multiple loci detected by the same clones were all associated with resistance QTLs. These results suggest that some of the genes may be important components in regulation of defense responses against pathogen invasion and they may be the candidates for studying the mechanism of quantitative disease resistance in rice.     

Coincidence in map positions between pathogen-induced defense-responsive genes and quantitative resistance loci in rice

Quantitative disease resistance conferred by quantitative trait loci (QTLs) is presumably of wider spectrum and durable. Forty-four cDNA clones, representing 44 defense-responsive genes, were fine mapped to 56 loci distributed on 9 of the 12 rice chromosomes. The locations of 32 loci detected by 27 cDNA clones were associated with previously identified resistance QTLs for different rice diseases, including blast, bacterial blight, sheath blight and yellow mottle virus. The loci detected by the same multiple-copy cDNA clones were frequently located on similar locations of different chromosomes. Some of the multiple loci detected by the same clones were all associated with resistance QTLs. These results suggest that some of the genes may be important components in regulation of defense responses against pathogen invasion and they may be the candidates for studying the mechanism of quantitative disease resistance in rice.     

Identification of quantitative trait loci controlling resistance to gray leaf spot disease in maize

Breeding maize for gray leaf spot (GLS) resistance has been hindered by the quantitative nature of the inheritance of GLS resistance and by the limitations of selection under less than optimumal disease pressure. In order to identify the quantitative trait loci (QTLs) controlling GLS resistance, a cross was made between B73 (susceptible) and Va14 (resistant) to generate a large F₂ population. Six GLS disease assessments were made throughout the disease season for over 1000 F₂ plants in 1989, and for 600 F₂-derived F₃ lines replicated in two blocks in 1990. RFLP analysis for78 marker loci representing all ten maize chromosomes was conducted in 239 F₂ individuals including those with the extreme GLS disease phenotypes. The GLS disease scores of the three field evaluations, each averaged over six ratings, were separately used for the interval mapping in order to determine the consistency of the QTL effects. The heavy GLS disease pressure, meticulous disease ratings, and large population size of this study afforded us the sensitivity for detecting QTL effects. QTLs located on three chromosomes (1, 4, and 8) had large effects on GLS resistance, each explaining 35.0–56.0%, 8.8–14.3%, and 7.7–11.0% of the variance, respectively. These three QTL effects were remarkably consistent across three disease evaluations over 2 years and two generations. Smaller QTL effects were also found on chromosomes 2 and 5, but the chromosome-5 effect might be a false positive because it was not repeatable even in the same location. The chromosome-1 QTLs had the largest effect or highest R² reported for any quantitative trait to-date. Except for the chromosome-4 gene, which was from the susceptible parent B73, the resistance alleles at all QTL were derived from Va14. The resistance QTLs on chromosomes 1 and 2 appear to have additive effects, but those on chromosomes 4 and 8 are dominant and recessive, respectively. Significant interaction between the QTLs on chromosomes 1 and 4 was detected in all three evaluations. Cumulatively, the four QTLs identified in this study explained 44, 60, and 68% of the variance in F₂, and in F₃ replications 1 and 2, respectively.     

Defense response genes co-localize with quantitative disease resistance loci in pepper

Functional bases of polygenically inherited disease resistance are still unknown. In recent years, molecular dissection of polygenic resistance has led to the identification and location of quantitative trait loci (QTLs) on many plant genetic linkage maps. This process is a pre-requisite for resistance QTL characterization at a molecular and functional level. Here, we report the use of a candidate gene approach based on the hypothesis that some resistance QTLs previously mapped in pepper may correspond to defense response (DR) genes. Degenerate oligonucleotide primers were designed for conserved regions of two DR gene families: pathogenesis-related proteins (PR) of class 2 (β-1,3-glucanase) and PR proteins of class 5 (antifungal activity). Cloned pepper PCR-products as well as other solanaceous DR gene families were used as RFLP probes for mapping in three intraspecific maps of the pepper genome. A total of 12 probes out of 23 were positioned and generated 16 loci. Some DR probes revealed multiple gene copies in the pepper genome (PR5, β-1,3-glucanase, chitinase and Glutathione S-transferase). Genes encoding acidic and basic β-1,3-glucanases were clustered on linkage group (LG) P1a, whereas genes encoding chitinases occurred on several LGs (P1b, P2a and P5). A class-III chitinase gene co-localized with a major-effect QTL controlling resistance to Phytophthora capsici on LG P5. PR4, PR2 and PR10 loci mapped within the region of resistance QTLs to P. capsici (LG P1b), Potato virus Y (LG P1a) and Potyvirus E (LG P3), respectively. A digenic interaction between a PR4 and a PR2 loci explained a large effect (35%) of the resistance to Potyvirus E.     

Identification of antibiosis and tolerance in rice varieties carrying brown planthopper resistance genes

Brown planthopper (BPH) [Nilaparvata lugens (Stål) (Hemiptera: Delphacidae)] is a major pest in rice [Oryza sativa L. (Poaceae)] production. Identification of resistance genes and development of BPH‐resistant varieties is an economical and effective way to control this pest. In this study, BPH honeydew excretion, survival rate, and emergence rate were used as indicators to detect the antibiotic level, whereas the relative growth rates of plant height (R_H) and fresh weight (R_W), and the number of days until yellowing were used to identify the level of tolerance to BPH in rice varieties. Rice varieties Swarnalata and B5, which showed high levels of antibiosis and tolerance to BPH, thus were highly resistant in the seedling bulk test; Mudgo and T12, which showed moderate resistance to the insects, had a high level of tolerance and moderate antibiosis to BPH. Varieties Rathu Heenati, ARC 10550, and Chin Saba were identified to be susceptible to BPH, showing a moderate level of tolerance and no antibiosis. In comparison to the evaluation methods of BPH resistance, the honeydew excretion and survival rate could be used to detect the antibiotic level, and the R_H, R_W, or leaf yellowing days could be employed as indicators to evaluate the rice varieties’ tolerance. Overall, a combined application of these indicators can effectively identify the levels of antibiosis and tolerance to BPH in rice varieties, and BPH‐resistance levels of the varieties were mainly determined by the antibiosis level. The results should help in understanding BPH‐resistance categories of rice varieties and for resistance breeding.     

Identification of differentially expressed genes associated with 5-methyltryptophan resistance in rice mutants

5-Methyltryptophan (5MT), a tryptophan analog, resistant M4 rice mutants with high free amino acid contents were obtained through in vitro mutagenesis. To evaluate the 5MT resistance mechanism, a cDNA library was constructed by using the leaves and roots of the 5MT resistant mutant plants. Expressed sequenced tags (ESTs) of 1 019 randomly selected clones were analyzed and then assembled 588 unigens. A total of 389 unigenes had significant homologies with known protein sequences at the NCBI database and the remaining 199 unigenes were designated unidentified genes. These unigens were grouped into 13 categories according to their putative functions. Of the 233 randomly selected clones, 25 were identified as differentially expressed genes between 5MT resistant and 5MT sensitive wild type plants. For further study of the differential expression of the genes, expression patterns of 12 genes related to various biological functions were evaluated in response to 5MT treatment in both the resistant plants and sensitive plants. All of the tested 12 genes exhibited higher expression levels in mutant plants than wild type plants under the 5MT inhibition. These expression patterns of the 12 genes suggested that the genes related to 5MT resistance in the rice mutants have a variety of functions, and yield remarkably diverse expression patterns upon 5MT treatment. Many genes that were identified tend to be related to defense and stress responses, suggesting “cross-talking“ between biotic/abiotic stresses including the 5MT treatment. Therefore, 5MT resistant mutants might be of value for identifying genes related to plant defenses and stresses.     

Toward an understanding of the molecular basis of quantitative disease resistance in rice

Rice crops are severely damaged by diseases caused by bacterial, fungal, and viral pathogens. Application of host resistance to these pathogens is the most economical and environmentally friendly approach to solve this problem. Quantitative resistance conferred by quantitative trait loci (QTL) is a valuable resource for the improvement of rice disease resistance. Although numerous resistance QTL against rice diseases have been identified, these resources have not been used effectively in rice improvement because the genetic control of quantitative resistance is complex and the genes underlying most of the resistance QTL remain unknown. This review focuses on the latest molecular progress in quantitative disease resistance in rice. This knowledge will be helpful for characterizing more resistance QTL and turning the quantitative resistance into actual resources for rice protection.     

水稻品种条纹叶枯病抗性的研究进展

水稻条纹叶枯病是当前粳稻主产区危害最严重的病害之一,而品种抗病性的利用则被公认为是病害综合防治的根本策略.本文从抗性鉴定方法、抗性资源筛选和发掘、抗性遗传规律及抗病基因定位和抗性品种选育与抗性转基因工程4个方面,对水稻品种条纹叶枯病抗性的研究进展进行了简要综述,以期为水稻抗条纹叶枯病的育种提供参考.同时对水稻品种条纹叶枯病抗性研究的现存问题与今后的研究方向进行了讨论.     

Genome-wide investigation on the genetic variations of rice disease resistance genes

Exploitation of plant disease resistance (R) gene in breeding programs has been proven to be the most efficient strategy for coping with the threat of pathogens. An understanding of R-gene variation is the basis for this strategy. Here we report a genome-wide investigation on the variation of NBS-LRR-encoding genes, the common type of R genes, between two sequenced rice genomes, Oryza sativa L. var. Nipponbare and 93–11. We show that the allelic nucleotide diversity in 65.0% of 397 least-divergent pairs is not high (0.344% on average), while the remaining 35% display a greater diversity (5.4% on average). The majority of conserved R genes is single-copy and/or located as a singleton. The clustered, particularly the complex-clustered, R-genes contribute greatly to the rich genetic variation. Surprisingly only 11.2% of R-genes have remarkably high ratios of non-synonymous to synonymous rates, which is much less than the 17.4% observed between Arabidopsis genomes. Noticeable “artificially selective sweeping” could be detected in a large proportion of the conserved R-genes, a scenario described in the “arms race” co-evolutionary model. Based on our study, a variation pattern of R-genes is proposed and confirmed by the analysis of R-genes from other rice lines, indicating that the observed variation pattern may be common in all rice lines.Electronic Supplementary Material Supplementary material is available for this article at     

Identification and characterization of NBS-encoding disease resistance genes in Lotus japonicus

Nucleotide-binding site (NBS) disease resistance genes play an important role in defending plants from a range of pathogens and insect pests. Consequently, NBS-encoding genes have been the focus of a number of recent studies in molecular disease resistance breeding programs. However, little is known about NBS-encoding genes in Lotus japonicus. In this study, a full set of disease resistance (R) candidate genes encoding NBS from the complete genome of L. japonicus was identified and characterized using structural diversity, chromosomal locations, conserved protein motifs, gene duplications, and phylogenetic relationships. Distinguished by N-terminal motifs and leucine-rich repeat motifs (LRRs), 92 regular NBS genes of 158 NBS-coding sequences were classified into seven types: CC-NBS-LRR, TIR-NBS-LRR, NBS-LRR, CC-NBS, TIR-NBS, NBS, and NBS-TIR. Phylogenetic reconstruction of NBS-coding sequences revealed many NBS gene lineages, dissimilar from results for Arabidopsis but similar to results from research on rice. Conserved motif structures were also analyzed to clarify their distribution in NBS-encoding gene sequences. Moreover, analysis of the physical locations and duplications of NBS genes showed that gene duplication events of disease resistance genes were lower in L. japonicus than in rice and Arabidopsis, which may contribute to the relatively fewer NBS genes in L. japonicus. Sixty-three NBS-encoding genes with clear conserved domain character were selected to check their gene expression levels by semi-quantitative RT-PCR. The results indicated that 53 of the genes were most likely to be acting as the active genes, and exogenous application of salicylic acid improved expression of most of the R genes.     

Dissecting quantitative resistance against blast disease using heterogeneous inbred family lines in rice

SHZ-2 is an indica rice cultivar that exhibits broad-spectrum resistance to rice blast; it is widely used as a resistance donor in breeding programs. To dissect the QTL responsible for broad-spectrum blast resistance, we crossed SHZ-2 to TXZ-13, a blast susceptible indica variety, to produce 244 BC₄F₃ lines. These lines were evaluated for blast resistance in greenhouse and field conditions. Chromosomal introgressions from SHZ-2 into the TXZ-13 genome were identified using a single feature polymorphism microarray, SSR markers and gene-specific primers. Segregation analysis of the BC₄F₃ population indicated that three regions on chromosomes 2, 6, and 9, designated as qBR2.1, qBR6.1, and qBR9.1, respectively, was associated with blast resistance and contributed 16.2, 14.9, and 22.3%, respectively, to the phenotypic variance of diseased leaf area (DLA). We further narrowed the three QTL regions using pairs of sister lines extracted from heterogeneous inbred families (HIF). Pairwise comparison of these lines enabled the determination of the relative contributions of individual QTL. The qBR9.1 conferred strong resistance, whereas qBR2.1 or qBR6.1 individually did not reduce disease under field conditions. However, when qBR2.1 and qBR6.1 were combined, they reduced disease by 19.5%, suggesting that small effect QTLs contribute to reduction of epidemics. The qBR6.1 and qBR9.1 regions contain nucleotide-binding sites and leucine rich repeats (NBS-LRR) sequences, whereas the qBR2.1 did not. In the qBR6.1 region, the patterns of expression of adjacent NBS-LRR genes were consistent in backcross generations and correlated with blast resistance, supporting the hypothesis that multiple resistance genes within a QTL region can contribute to non-race-specific quantitative resistance.     

Identification of rice genes induced in a rice blast-resistant mutant

To clarify mechanisms of rice blast resistance in rice plants we used suppression subtractive hybridization (SSH) to isolate genes induced upon rice blast inoculation in a rice blast-resistant mutant. A total of 26 rice cDNAs were isolated and found to have elevated expression upon rice blast infection in a rice blast-resistant derivative, SHM-11, of the rice cultivar, Sanghaehyanghyella. Sequencing of the cDNAs revealed that many of the proteins they encoded had been previously described as involved in plant responses against pathogen attack. Two interesting groups of the defense-related proteins consisted of three different PR5 homologues and four different protease inhibitors, all highly expressed in the rice blast mutant. Genes encoding proteins involved in signal transduction and regulation were also identified, including translation initiation factor eIF5A, C2 domain DNA binding protein, putative rice EDS and putative receptor like kinase. Most of the identified cDNAs were highly expressed 24 h after blast inoculation. Our results suggest that a pathway regulating defense gene expression may be altered in the mutant, resulting in early induction of the defense genes upon fungal infection.