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Devanna BN, Sucharita S, Sunitha NC, Anilkumar C, Singh PK, Pramesh D, Samantaray S, Behera L, Katara JL, Parameswaran C, Rout P, Sabarinathan S, Rajashekara H, Sharma TR. Refinement of rice blast disease resistance QTLs and gene networks through meta-QTL analysis. Sci Rep 2024; 14:16458. [PMID: 39013915 PMCID: PMC11252161 DOI: 10.1038/s41598-024-64142-0] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/02/2024] [Accepted: 06/05/2024] [Indexed: 07/18/2024] Open
Abstract
Rice blast disease is the most devastating disease constraining crop productivity. Vertical resistance to blast disease is widely studied despite its instability. Clusters of genes or QTLs conferring blast resistance that offer durable horizontal resistance are important in resistance breeding. In this study, we aimed to refine the reported QTLs and identify stable meta-QTLs (MQTLs) associated with rice blast resistance. A total of 435 QTLs were used to project 71 MQTLs across all the rice chromosomes. As many as 199 putative rice blast resistance genes were identified within 53 MQTL regions. The genes included 48 characterized resistance gene analogs and related proteins, such as NBS-LRR type, LRR receptor-like kinase, NB-ARC domain, pathogenesis-related TF/ERF domain, elicitor-induced defense and proteins involved in defense signaling. MQTL regions with clusters of RGA were also identified. Fifteen highly significant MQTLs included 29 candidate genes and genes characterized for blast resistance, such as Piz, Nbs-Pi9, pi55-1, pi55-2, Pi3/Pi5-1, Pi3/Pi5-2, Pikh, Pi54, Pik/Pikm/Pikp, Pb1 and Pb2. Furthermore, the candidate genes (42) were associated with differential expression (in silico) in compatible and incompatible reactions upon disease infection. Moreover, nearly half of the genes within the MQTL regions were orthologous to those in O. sativa indica, Z. mays and A. thaliana, which confirmed their significance. The peak markers within three significant MQTLs differentiated blast-resistant and susceptible lines and serve as potential surrogates for the selection of blast-resistant lines. These MQTLs are potential candidates for durable and broad-spectrum rice blast resistance and could be utilized in blast resistance breeding.
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Affiliation(s)
| | - Sumali Sucharita
- ICAR-National Rice Research Institute, Cuttack, Odisha, 753006, India
| | - N C Sunitha
- ICAR-National Rice Research Institute, Cuttack, Odisha, 753006, India
| | - C Anilkumar
- ICAR-National Rice Research Institute, Cuttack, Odisha, 753006, India
| | - Pankaj K Singh
- Department of Biotechnology, University Centre for Research and Development, Chandigarh University, Mohali, Punjab, 140413, India
| | - D Pramesh
- University of Agricultural Sciences, Raichur, Karnataka, India
| | | | - Lambodar Behera
- ICAR-National Rice Research Institute, Cuttack, Odisha, 753006, India
| | | | - C Parameswaran
- ICAR-National Rice Research Institute, Cuttack, Odisha, 753006, India
| | - Prachitara Rout
- ICAR-National Rice Research Institute, Cuttack, Odisha, 753006, India
| | | | | | - Tilak Raj Sharma
- Division of Crop Science, Indian Council of Agricultural Research, Krishi Bhavan, New Delhi, 110001, India.
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Zhang M, Chen D, Tian J, Cao J, Xie K, He Y, Yuan M. OsGELP77, a QTL for broad-spectrum disease resistance and yield in rice, encodes a GDSL-type lipase. PLANT BIOTECHNOLOGY JOURNAL 2024; 22:1352-1371. [PMID: 38100249 PMCID: PMC11022805 DOI: 10.1111/pbi.14271] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 10/09/2023] [Revised: 11/15/2023] [Accepted: 11/29/2023] [Indexed: 12/17/2023]
Abstract
Lipids and lipid metabolites have essential roles in plant-pathogen interactions. GDSL-type lipases are involved in lipid metabolism modulating lipid homeostasis. Some plant GDSLs modulate lipid metabolism altering hormone signal transduction to regulate host-defence immunity. Here, we functionally characterized a rice lipase, OsGELP77, promoting both immunity and yield. OsGELP77 expression was induced by pathogen infection and jasmonic acid (JA) treatment. Overexpression of OsGELP77 enhanced rice resistance to both bacterial and fungal pathogens, while loss-of-function of osgelp77 showed susceptibility. OsGELP77 localizes to endoplasmic reticulum and is a functional lipase hydrolysing universal lipid substrates. Lipidomics analyses demonstrate that OsGELP77 is crucial for lipid metabolism and lipid-derived JA homeostasis. Genetic analyses confirm that OsGELP77-modulated resistance depends on JA signal transduction. Moreover, population genetic analyses indicate that OsGELP77 expression level is positively correlated with rice resistance against pathogens. Three haplotypes were classified based on nucleotide polymorphisms in the OsGELP77 promoter where OsGELP77Hap3 is an elite haplotype. Three OsGELP77 haplotypes are differentially distributed in wild and cultivated rice, while OsGELP77Hap3 has been broadly pyramided for hybrid rice development. Furthermore, quantitative trait locus (QTL) mapping and resistance evaluation of the constructed near-isogenic line validated OsGELP77, a QTL for broad-spectrum disease resistance. In addition, OsGELP77-modulated lipid metabolism promotes JA accumulation facilitating grain yield. Notably, the hub defence regulator OsWRKY45 acts upstream of OsGELP77 by initiating the JA-dependent signalling to trigger immunity. Together, OsGELP77, a QTL contributing to immunity and yield, is a candidate for breeding broad-spectrum resistant and high-yielding rice.
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Affiliation(s)
- Miaojing Zhang
- National Key Laboratory of Crop Genetic Improvement, National Center of Plant Gene Research (Wuhan), Hubei Hongshan LaboratoryHuazhong Agricultural UniversityWuhanChina
| | - Dan Chen
- National Key Laboratory of Crop Genetic Improvement, National Center of Plant Gene Research (Wuhan), Hubei Hongshan LaboratoryHuazhong Agricultural UniversityWuhanChina
| | - Jingjing Tian
- National Key Laboratory of Crop Genetic Improvement, National Center of Plant Gene Research (Wuhan), Hubei Hongshan LaboratoryHuazhong Agricultural UniversityWuhanChina
| | - Jianbo Cao
- National Key Laboratory of Crop Genetic Improvement, National Center of Plant Gene Research (Wuhan), Hubei Hongshan LaboratoryHuazhong Agricultural UniversityWuhanChina
| | - Kabin Xie
- National Key Laboratory of Crop Genetic Improvement, National Center of Plant Gene Research (Wuhan), Hubei Hongshan LaboratoryHuazhong Agricultural UniversityWuhanChina
| | - Yuqing He
- National Key Laboratory of Crop Genetic Improvement, National Center of Plant Gene Research (Wuhan), Hubei Hongshan LaboratoryHuazhong Agricultural UniversityWuhanChina
| | - Meng Yuan
- National Key Laboratory of Crop Genetic Improvement, National Center of Plant Gene Research (Wuhan), Hubei Hongshan LaboratoryHuazhong Agricultural UniversityWuhanChina
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Jia Y, Jia MH, Yan Z. Mapping Blast Resistance Genes in Rice Varieties 'Minghui 63' and 'M-202'. PLANT DISEASE 2022; 106:1175-1182. [PMID: 34739330 DOI: 10.1094/pdis-09-21-2095-re] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/13/2023]
Abstract
Rice blast caused by the fungus Magnaporthe oryzae (syn. Magnaporthe grisea) is one of the most lethal diseases for sustainable rice production worldwide. Blast resistance mediated by major resistance genes is often broken down after a short period of deployment, while minor blast resistance genes, each providing a small effect on disease reactions, are more durable. In the present study, we first evaluated disease reactions of two rice breeding parents 'Minghui 63' and 'M-202' with 11 blast races, IA45, IB1, IB45, IB49, IB54, IC1, IC17, ID1, IE1, IG1, and IH1, commonly present in the United States, under greenhouse conditions using a category disease rating resembling infection types under field conditions. 'Minghui 63' exhibited differential resistance responses in comparison with those of 'M-202' to the tested blast races. A recombinant inbred line (RIL) population of 275 lines from a cross between 'Minghui 63' and 'M-202' was also evaluated with the above-mentioned blast races. The population was genotyped with 156 simple sequence repeat (SSR) and insertion and deletion (Indel) markers. A linkage map with a genetic distance of 1,022.84 cM was constructed using inclusive composite interval mapping (ICIM) software. A total of 10 resistance QTLs, eight from 'Minghui 63' and two from 'M-202', were identified. One major QTL, qBLAST2 on chromosome 2, was identified by seven races/isolates. The remaining nine minor resistance QTLs were mapped on chromosomes 1, 3, 6, 9, 10, 11, and 12. These findings provide useful genetic markers and resources to tag minor blast resistance genes for marker-assisted selection in rice breeding program and for further studies of underlying genes.
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Affiliation(s)
- Yulin Jia
- U.S. Department of Agriculture-Agricultural Research Service, Dale Bumpers National Rice Research Center, Stuttgart, AR 72160
| | - Melissa H Jia
- U.S. Department of Agriculture-Agricultural Research Service, Dale Bumpers National Rice Research Center, Stuttgart, AR 72160
| | - Zhongbu Yan
- University of Arkansas Rice Research and Extension Center, Stuttgart, AR 72160
- Texas A&M AgriLife Research Center, Beaumont, TX 77713
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Karn A, Zou C, Brooks S, Fresnedo-Ramírez J, Gabler F, Sun Q, Ramming D, Naegele R, Ledbetter C, Cadle-Davidson L. Discovery of the REN11 Locus From Vitis aestivalis for Stable Resistance to Grapevine Powdery Mildew in a Family Segregating for Several Unstable and Tissue-Specific Quantitative Resistance Loci. FRONTIERS IN PLANT SCIENCE 2021; 12:733899. [PMID: 34539723 PMCID: PMC8448101 DOI: 10.3389/fpls.2021.733899] [Citation(s) in RCA: 6] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 06/30/2021] [Accepted: 08/09/2021] [Indexed: 05/05/2023]
Abstract
Race-specific resistance loci, whether having qualitative or quantitative effects, present plant-breeding challenges for phenotypic selection and deciding which loci to select or stack with other resistance loci for improved durability. Previously, resistance to grapevine powdery mildew (GPM, caused by Erysiphe necator) was predicted to be conferred by at least three race-specific loci in the mapping family B37-28 × C56-11 segregating for GPM resistance from Vitis aestivalis. In this study, 9 years of vineyard GPM disease severity ratings plus a greenhouse and laboratory assays were genetically mapped, using a rhAmpSeq core genome marker platform with 2,000 local haplotype markers. A new qualitative resistance locus, named REN11, on the chromosome (Chr) 15 was found to be effective in nearly all (11 of 12) vineyard environments on leaves, rachis, berries, and most of the time (7 of 12) stems. REN11 was independently validated in a pseudo-testcross with the grandparent source of resistance, "Tamiami." Five other loci significantly predicted GPM severity on leaves in only one or two environments, which could indicate race-specific resistance or their roles in different timepoints in epidemic progress. Loci on Chr 8 and 9 reproducibly predicted disease severity on stems but not on other tissues and had additive effects with REN11 on the stems. The rhAmpSeq local haplotype sequences published in this study for REN11 and Chr 8 and 9 stem quantitative trait locus (QTL) can be used directly for marker-assisted selection or converted to SNP assays. In screening for REN11 in a diversity panel of 20,651 vines representing the diversity of Vitis, this rhAmpSeq haplotype had a false positive rate of 0.034% or less. The effects of the other foliar resistance loci detected in this study seem too unstable for genetic improvement regardless of quantitative effect size, whether due to race specificity or other environmental variables.
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Affiliation(s)
- Avinash Karn
- School of Integrative Plant Science, Cornell AgriTech, Cornell University, Geneva, NY, United States
| | - Cheng Zou
- BRC Bioinformatics Facility, Institute of Biotechnology, Cornell University, Ithaca, NY, United States
| | - Siraprapa Brooks
- United States Department of Agriculture (USDA)-Agricultural Research Service (ARS), Grape Genetics Research Unit, Geneva, NY, United States
| | - Jonathan Fresnedo-Ramírez
- BRC Bioinformatics Facility, Institute of Biotechnology, Cornell University, Ithaca, NY, United States
| | - Franka Gabler
- United States Department of Agriculture (USDA)-Agricultural Research Service (ARS), Commodity Protection and Quality Research, San Joaquin Valley Agricultural Sciences Center, Parlier, CA, United States
| | - Qi Sun
- United States Department of Agriculture (USDA)-Agricultural Research Service (ARS), Grape Genetics Research Unit, Geneva, NY, United States
| | - David Ramming
- United States Department of Agriculture (USDA)-Agricultural Research Service (ARS), Crop Diseases, Pests and Genetics Research Unit, San Joaquin Valley Agricultural Sciences Center, Parlier, CA, United States
| | - Rachel Naegele
- United States Department of Agriculture (USDA)-Agricultural Research Service (ARS), Crop Diseases, Pests and Genetics Research Unit, San Joaquin Valley Agricultural Sciences Center, Parlier, CA, United States
| | - Craig Ledbetter
- United States Department of Agriculture (USDA)-Agricultural Research Service (ARS), Crop Diseases, Pests and Genetics Research Unit, San Joaquin Valley Agricultural Sciences Center, Parlier, CA, United States
| | - Lance Cadle-Davidson
- School of Integrative Plant Science, Cornell AgriTech, Cornell University, Geneva, NY, United States
- United States Department of Agriculture (USDA)-Agricultural Research Service (ARS), Grape Genetics Research Unit, Geneva, NY, United States
- *Correspondence: Lance Cadle-Davidson
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Advances in Genetics and Genomics for Management of Blast Disease in Cereal Crops. Fungal Biol 2021. [DOI: 10.1007/978-3-030-60585-8_12] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/26/2022]
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A Meta-Analysis of Quantitative Trait Loci Associated with Multiple Disease Resistance in Rice ( Oryza sativa L.). PLANTS 2020; 9:plants9111491. [PMID: 33167299 PMCID: PMC7694349 DOI: 10.3390/plants9111491] [Citation(s) in RCA: 17] [Impact Index Per Article: 4.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 09/02/2020] [Revised: 10/07/2020] [Accepted: 10/07/2020] [Indexed: 12/14/2022]
Abstract
Rice blast, sheath blight and bacterial leaf blight are major rice diseases found worldwide. The development of resistant cultivars is generally perceived as the most effective way to combat these diseases. Plant disease resistance is a polygenic trait where a combinatorial effect of major and minor genes affects this trait. To locate the source of this trait, various quantitative trait loci (QTL) mapping studies have been performed in the past two decades. However, investigating the congruency between the reported QTL is a daunting task due to the heterogeneity amongst the QTLs studied. Hence, the aim of our study is to integrate the reported QTLs for resistance against rice blast, sheath blight and bacterial leaf blight and objectively analyze and consolidate the location of QTL clusters in the chromosomes, reducing the QTL intervals and thus identifying candidate genes within the selected meta-QTL. A total of twenty-seven studies for resistance QTLs to rice blast (8), sheath blight (15) and bacterial leaf blight (4) was compiled for QTL projection and analyses. Cumulatively, 333 QTLs associated with rice blast (114), sheath blight (151) and bacterial leaf blight (68) resistance were compiled, where 303 QTLs could be projected onto a consensus map saturated with 7633 loci. Meta-QTL analysis on 294 QTLs yielded 48 meta-QTLs, where QTLs with membership probability lower than 60% were excluded, reducing the number of QTLs within the meta-QTL to 274. Further, three meta-QTL regions (MQTL2.5, MQTL8.1 and MQTL9.1) were selected for functional analysis on the basis that MQTL2.5 harbors the highest number of QTLs; meanwhile, MQTL8.1 and MQTL9.1 have QTLs associated with all three diseases mentioned above. The functional analysis allows for determination of enriched gene ontology and resistance gene analogs (RGAs) and other defense-related genes. To summarize, MQTL2.5, MQTL8.1 and MQTL9.1 have a considerable number of R-genes that account for 10.21%, 4.08% and 6.42% of the total genes found in these meta-QTLs, respectively. Defense genes constitute around 3.70%, 8.16% and 6.42% of the total number of genes in MQTL2.5, MQTL8.1 and MQTL9.1, respectively. This frequency is higher than the total frequency of defense genes in the rice genome, which is 0.0096% (167 defense genes/17,272 total genes). The integration of the QTLs facilitates the identification of QTL hotspots for rice blast, sheath blight and bacterial blight resistance with reduced intervals, which helps to reduce linkage drag in breeding. The candidate genes within the promising regions could be utilized for improvement through genetical engineering.
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Hernandez J, Del Blanco A, Filichkin T, Fisk S, Gallagher L, Helgerson L, Meints B, Mundt C, Steffenson B, Hayes P. A Genome-Wide Association Study of Resistance to Puccinia striiformis f. sp. hordei and P. graminis f. sp. tritici in Barley and Development of Resistant Germplasm. PHYTOPATHOLOGY 2020; 110:1082-1092. [PMID: 32023173 DOI: 10.1094/phyto-11-19-0415-r] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 05/20/2023]
Abstract
Stripe rust (incited by Puccinia striiformis f. sp. hordei) and stem rust (incited by P. graminis f. sp. tritici) are two of the most important diseases affecting barley. Building on prior work involving the introgression of the resistance genes rpg4/Rpg5 into diverse genetic backgrounds and the discovery of additional quantitative trait locus (QTLs) for stem rust resistance, we generated an array of germplasm in which we mapped resistance to stripe rust and stem rust. Stem rust races TTKSK and QCCJB were used for resistance mapping at the seedling and adult plant stages, respectively. Resistance to stripe rust, at the adult plant stage, was determined by QTLs on chromosomes 1H, 4H, and 5H that were previously reported in the literature. The rpg4/Rpg5 complex was validated as a source of resistance to stem rust at the seedling stage. Some parental germplasm, selected as potentially resistant to stem rust or susceptible but having other positive attributes, showed resistance at the seedling stage, which appears to be allelic to rpg4/Rpg5. The rpg4/Rpg5 complex, and this new allele, were not sufficient for adult plant resistance to stem rust in one environment. A QTL on 5H, distinct from Rpg5 and a previously reported resistance QTL, was required for resistance at the adult plant stage in all environments. This QTL is coincident with the QTL for stripe rust resistance. Germplasm with mapped genes/QTLs conferring resistance to stripe and stem rust was identified and is available as a resource to the research and breeding communities.
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Affiliation(s)
- Javier Hernandez
- Department of Crop and Soil Science, Oregon State University, Corvallis, OR 97331
| | - Alicia Del Blanco
- Department of Plant Sciences, University of California-Davis, Davis, CA 95616
| | - Tanya Filichkin
- Department of Crop and Soil Science, Oregon State University, Corvallis, OR 97331
| | - Scott Fisk
- Department of Crop and Soil Science, Oregon State University, Corvallis, OR 97331
| | - Lynn Gallagher
- Department of Plant Sciences, University of California-Davis, Davis, CA 95616
| | - Laura Helgerson
- Department of Crop and Soil Science, Oregon State University, Corvallis, OR 97331
| | - Brigid Meints
- Department of Crop and Soil Science, Oregon State University, Corvallis, OR 97331
| | - Chris Mundt
- Department of Botany and Plant Pathology, Oregon State University, Corvallis, OR 97331
| | - Brian Steffenson
- Department of Plant Pathology, University of Minnesota, St. Paul, MN 55108
| | - Patrick Hayes
- Department of Crop and Soil Science, Oregon State University, Corvallis, OR 97331
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Ke Y, Kang Y, Wu M, Liu H, Hui S, Zhang Q, Li X, Xiao J, Wang S. Jasmonic Acid-Involved OsEDS1 Signaling in Rice-Bacteria Interactions. RICE (NEW YORK, N.Y.) 2019; 12:25. [PMID: 30989404 PMCID: PMC6465387 DOI: 10.1186/s12284-019-0283-0] [Citation(s) in RCA: 13] [Impact Index Per Article: 2.6] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 01/23/2019] [Accepted: 03/27/2019] [Indexed: 05/28/2023]
Abstract
BACKGROUND The function of Arabidopsis enhanced disease susceptibility 1 (AtEDS1) and its sequence homologs in other dicots have been extensively studied. However, it is unknown whether rice EDS1 homolog (OsEDS1) plays a role in regulating the rice-pathogen interaction. RESULTS In this study, a OsEDS1-knouckout mutant (oseds1) was characterized and shown to have increased susceptibility to Xanthomonas oryzae pv. oryzae (Xoo) and Xanthomonas oryzae pv. oryzicola (Xoc), suggesting the positive role of OsEDS1 in regulating rice disease resistance. However, the following evidence suggests that OsEDS1 shares some differences with AtEDS1 in its way to regulate the host-pathogen interactions. Firstly, OsEDS1 modulates the rice-bacteria interactions involving in jasmonic acid (JA) signaling pathway, while AtEDS1 regulates Arabidopsis disease resistance against biotrophic pathogens depending on salicylic acid (SA) signaling pathway. Secondly, introducing AtEDS1 could reduce oseds1 mutant susceptibility to Xoo rather than to Xoc. Thirdly, exogenous application of JA and SA cannot complement the susceptible phenotype of the oseds1 mutant, while exogenous application of SA is capable of complementing the susceptible phenotype of the ateds1 mutant. Finally, OsEDS1 is not required for R gene mediated resistance, while AtEDS1 is required for disease resistance mediated by TIR-NB-LRR class of R proteins. CONCLUSION OsEDS1 is a positive regulator in rice-pathogen interactions, and shares both similarities and differences with AtEDS1 in its way to regulate plant-pathogen interactions.
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Affiliation(s)
- Yinggen Ke
- National Key Laboratory of Crop Genetic Improvement, National Center of Plant Gene Research (Wuhan), Huazhong Agricultural University, Wuhan, 430070, China
| | - Yuanrong Kang
- National Key Laboratory of Crop Genetic Improvement, National Center of Plant Gene Research (Wuhan), Huazhong Agricultural University, Wuhan, 430070, China
| | - Mengxiao Wu
- National Key Laboratory of Crop Genetic Improvement, National Center of Plant Gene Research (Wuhan), Huazhong Agricultural University, Wuhan, 430070, China
| | - Hongbo Liu
- National Key Laboratory of Crop Genetic Improvement, National Center of Plant Gene Research (Wuhan), Huazhong Agricultural University, Wuhan, 430070, China
| | - Shugang Hui
- National Key Laboratory of Crop Genetic Improvement, National Center of Plant Gene Research (Wuhan), Huazhong Agricultural University, Wuhan, 430070, China
| | - Qinglu Zhang
- National Key Laboratory of Crop Genetic Improvement, National Center of Plant Gene Research (Wuhan), Huazhong Agricultural University, Wuhan, 430070, China
| | - Xianghua Li
- National Key Laboratory of Crop Genetic Improvement, National Center of Plant Gene Research (Wuhan), Huazhong Agricultural University, Wuhan, 430070, China
| | - Jinghua Xiao
- National Key Laboratory of Crop Genetic Improvement, National Center of Plant Gene Research (Wuhan), Huazhong Agricultural University, Wuhan, 430070, China
| | - Shiping Wang
- National Key Laboratory of Crop Genetic Improvement, National Center of Plant Gene Research (Wuhan), Huazhong Agricultural University, Wuhan, 430070, China.
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Chukwu SC, Rafii MY, Ramlee SI, Ismail SI, Oladosu Y, Okporie E, Onyishi G, Utobo E, Ekwu L, Swaray S, Jalloh M. Marker-assisted selection and gene pyramiding for resistance to bacterial leaf blight disease of rice (Oryza sativa L.). BIOTECHNOL BIOTEC EQ 2019. [DOI: 10.1080/13102818.2019.1584054] [Citation(s) in RCA: 13] [Impact Index Per Article: 2.6] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/20/2022] Open
Affiliation(s)
- Samuel Chibuike Chukwu
- Laboratory of Climate-Smart Food Crop Production, Institute of Tropical Agriculture and Food Security, Universiti Putra Malaysia (UPM), Selangor, Malaysia
- Department of Crop Production and Landscape Management, Faculty of Agriculture and Natural Resources Management, Ebonyi State University, Abakaliki, Nigeria
| | - Mohd Y. Rafii
- Laboratory of Climate-Smart Food Crop Production, Institute of Tropical Agriculture and Food Security, Universiti Putra Malaysia (UPM), Selangor, Malaysia
- Department of Crop Science, Faculty of Agriculture, Universiti Putra Malaysia (UPM), Selangor, Malaysia
| | - Shairul Izan Ramlee
- Department of Crop Science, Faculty of Agriculture, Universiti Putra Malaysia (UPM), Selangor, Malaysia
| | - Siti Izera Ismail
- Department of Plant Protection, Faculty of Agriculture, Universiti Putra Malaysia (UPM), Selangor, Malaysia
| | - Yussuf Oladosu
- Department of Crop Science and Technology, School of Agriculture and Agricultural Technology, Federal University of Technology, Owerri, Nigeria
| | - Emmanuel Okporie
- Department of Crop Production and Landscape Management, Faculty of Agriculture and Natural Resources Management, Ebonyi State University, Abakaliki, Nigeria
| | - Godwin Onyishi
- Department of Crop Science and Technology, School of Agriculture and Agricultural Technology, Federal University of Technology, Owerri, Nigeria
| | - Emeka Utobo
- Department of Crop Production and Landscape Management, Faculty of Agriculture and Natural Resources Management, Ebonyi State University, Abakaliki, Nigeria
| | - Lynda Ekwu
- Department of Crop Production and Landscape Management, Faculty of Agriculture and Natural Resources Management, Ebonyi State University, Abakaliki, Nigeria
| | - Senesie Swaray
- Laboratory of Climate-Smart Food Crop Production, Institute of Tropical Agriculture and Food Security, Universiti Putra Malaysia (UPM), Selangor, Malaysia
| | - Momodu Jalloh
- Laboratory of Climate-Smart Food Crop Production, Institute of Tropical Agriculture and Food Security, Universiti Putra Malaysia (UPM), Selangor, Malaysia
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Tian D, Guo X, Zhang Z, Wang M, Wang F. Improving blast resistance of the rice restorer line, Hui 316, by introducing Pi9 or Pi2 with marker-assisted selection. BIOTECHNOL BIOTEC EQ 2019. [DOI: 10.1080/13102818.2019.1649095] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/26/2022] Open
Affiliation(s)
- Dagang Tian
- Biotechnology Research Institute, Fujian Key Laboratory of Genetic Engineering for Agriculture, Fujian Academy of Agricultural Sciences, Fuzhou, China
| | - Xinrui Guo
- Biotechnology Research Institute, Fujian Key Laboratory of Genetic Engineering for Agriculture, Fujian Academy of Agricultural Sciences, Fuzhou, China
| | - Zhujian Zhang
- Key Laboratory of Ministry of Education for Genetics, Breeding and Multiple Utilization of Crops, Plant Immunity Center, Fujian Agriculture and Forestry University, Fuzhou, China
| | - Mo Wang
- Key Laboratory of Ministry of Education for Genetics, Breeding and Multiple Utilization of Crops, Plant Immunity Center, Fujian Agriculture and Forestry University, Fuzhou, China
| | - Feng Wang
- Biotechnology Research Institute, Fujian Key Laboratory of Genetic Engineering for Agriculture, Fujian Academy of Agricultural Sciences, Fuzhou, China
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Bhattacharjee R, Nwadili CO, Saski CA, Paterne A, Scheffler BE, Augusto J, Lopez-Montes A, Onyeka JT, Kumar PL, Bandyopadhyay R. An EST-SSR based genetic linkage map and identification of QTLs for anthracnose disease resistance in water yam (Dioscorea alata L.). PLoS One 2018; 13:e0197717. [PMID: 30303959 PMCID: PMC6179188 DOI: 10.1371/journal.pone.0197717] [Citation(s) in RCA: 17] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/07/2018] [Accepted: 09/18/2018] [Indexed: 02/04/2023] Open
Abstract
Water yam (Dioscorea alata L.) is one of the most important food yams with wide geographical distribution in the tropics. One of the major constraints to water yam production is anthracnose disease caused by a fungus, Colletotrichum gloeosporioides (Penz.). There are no economically feasible solutions as chemical sprays or cultural practices, such as crop rotation are seldom convenient for smallholder farmers for sustainable control of the disease. Breeding for development of durable genetic resistant varieties is known to offer lasting solution to control endemic disease threats to crop production. However, breeding for resistance to anthracnose has been slow considering the biological constraints related to the heterozygous and vegetative propagation of the crop. The development of saturated linkage maps with high marker density, such as SSRs, followed by identification of QTLs can accelerate the speed and precision of resistance breeding in water yam. In a previous study, a total of 1,152 EST-SSRs were developed from >40,000 EST-sequences generated from two D. alata genotypes. A set of 380 EST-SSRs were validated as polymorphic when tested on two diverse parents targeted for anthracnose disease and were used to generate a saturated linkage map. Majority of the SSRs (60.2%) showed Mendelian segregation pattern and had no effect on the construction of linkage map. All 380 EST-SSRs were mapped into 20 linkage groups, and covered a total length of 3229.5 cM. Majority of the markers were mapped on linkage group 1 (LG 1) comprising of 97 EST-SSRs. This is the first genetic linkage map of water yam constructed using EST-SSRs. QTL localization was based on phenotypic data collected over a 3-year period of inoculating the mapping population with the most virulent strain of C. gloeosporioides from West Africa. Based on threshold LOD scores, one QTL was consistently observed on LG 14 in all the three years and average score data. This QTL was found at position interval of 71.1-84.8 cM explaining 68.5% of the total phenotypic variation in the average score data. The high marker density allowed identification of QTLs and association for anthracnose disease, which could be validated in other mapping populations and used in marker-assisted breeding in D. alata improvement programmes.
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Affiliation(s)
| | - Christian O. Nwadili
- International Institute of Tropical Agriculture (IITA), Ibadan, Nigeria
- Michael Okpara University of Agriculture, Umudike, Abia state, Nigeria
- National Root Crops Research Institute, Umudike, Umuahia, Abia State, Nigeria
| | - Christopher A. Saski
- Institute for Translational Genomics, Genomics and Computational Biology Laboratory, Clemson University, Clemson, South Carolina, United States of America
| | - Agre Paterne
- International Institute of Tropical Agriculture (IITA), Ibadan, Nigeria
| | - Brian E. Scheffler
- Genomics and Bioinformatics Research Unit, USDA-ARS, Stoneville, Mississippi, United States of America
| | - Joao Augusto
- International Institute of Tropical Agriculture (IITA), Ibadan, Nigeria
| | | | - Joseph T. Onyeka
- National Root Crops Research Institute, Umudike, Umuahia, Abia State, Nigeria
| | - P. Lava Kumar
- International Institute of Tropical Agriculture (IITA), Ibadan, Nigeria
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12
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Singh PK, Nag A, Arya P, Kapoor R, Singh A, Jaswal R, Sharma TR. Prospects of Understanding the Molecular Biology of Disease Resistance in Rice. Int J Mol Sci 2018; 19:E1141. [PMID: 29642631 PMCID: PMC5979409 DOI: 10.3390/ijms19041141] [Citation(s) in RCA: 27] [Impact Index Per Article: 4.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/17/2018] [Revised: 03/03/2018] [Accepted: 03/05/2018] [Indexed: 12/11/2022] Open
Abstract
Rice is one of the important crops grown worldwide and is considered as an important crop for global food security. Rice is being affected by various fungal, bacterial and viral diseases resulting in huge yield losses every year. Deployment of resistance genes in various crops is one of the important methods of disease management. However, identification, cloning and characterization of disease resistance genes is a very tedious effort. To increase the life span of resistant cultivars, it is important to understand the molecular basis of plant host-pathogen interaction. With the advancement in rice genetics and genomics, several rice varieties resistant to fungal, bacterial and viral pathogens have been developed. However, resistance response of these varieties break down very frequently because of the emergence of more virulent races of the pathogen in nature. To increase the durability of resistance genes under field conditions, understanding the mechanismof resistance response and its molecular basis should be well understood. Some emerging concepts like interspecies transfer of pattern recognition receptors (PRRs) and transgenerational plant immunitycan be employed to develop sustainable broad spectrum resistant varieties of rice.
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Affiliation(s)
- Pankaj Kumar Singh
- National Agri-Food Biotechnology Institute, Mohali 140 306, Punjab, India.
| | - Akshay Nag
- National Agri-Food Biotechnology Institute, Mohali 140 306, Punjab, India.
| | - Preeti Arya
- National Agri-Food Biotechnology Institute, Mohali 140 306, Punjab, India.
| | - Ritu Kapoor
- National Agri-Food Biotechnology Institute, Mohali 140 306, Punjab, India.
| | - Akshay Singh
- National Agri-Food Biotechnology Institute, Mohali 140 306, Punjab, India.
| | - Rajdeep Jaswal
- National Agri-Food Biotechnology Institute, Mohali 140 306, Punjab, India.
| | - Tilak Raj Sharma
- National Agri-Food Biotechnology Institute, Mohali 140 306, Punjab, India.
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13
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Hu L, Wu Y, Wu D, Rao W, Guo J, Ma Y, Wang Z, Shangguan X, Wang H, Xu C, Huang J, Shi S, Chen R, Du B, Zhu L, He G. The Coiled-Coil and Nucleotide Binding Domains of BROWN PLANTHOPPER RESISTANCE14 Function in Signaling and Resistance against Planthopper in Rice. THE PLANT CELL 2017; 29:3157-3185. [PMID: 29093216 PMCID: PMC5757267 DOI: 10.1105/tpc.17.00263] [Citation(s) in RCA: 69] [Impact Index Per Article: 9.9] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 04/04/2017] [Revised: 10/04/2017] [Accepted: 10/31/2017] [Indexed: 05/22/2023]
Abstract
BROWN PLANTHOPPER RESISTANCE14 (BPH14), the first planthopper resistance gene isolated via map-based cloning in rice (Oryza sativa), encodes a coiled-coil, nucleotide binding site, leucine-rich repeat (CC-NB-LRR) protein. Several planthopper and aphid resistance genes encoding proteins with similar structures have recently been identified. Here, we analyzed the functions of the domains of BPH14 to identify molecular mechanisms underpinning BPH14-mediated planthopper resistance. The CC or NB domains alone or in combination (CC-NB [CN]) conferred a similar level of brown planthopper resistance to that of full-length (FL) BPH14. Both domains activated the salicylic acid signaling pathway and defense gene expression. In rice protoplasts and Nicotiana benthamiana leaves, these domains increased reactive oxygen species levels without triggering cell death. Additionally, the resistance domains and FL BPH14 protein formed homocomplexes that interacted with transcription factors WRKY46 and WRKY72. In rice protoplasts, the expression of FL BPH14 or its CC, NB, and CN domains increased the accumulation of WRKY46 and WRKY72 as well as WRKY46- and WRKY72-dependent transactivation activity. WRKY46 and WRKY72 bind to the promoters of the receptor-like cytoplasmic kinase gene RLCK281 and the callose synthase gene LOC_Os01g67364.1, whose transactivation activity is dependent on WRKY46 or WRKY72. These findings shed light on this important insect resistance mechanism.
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Affiliation(s)
- Liang Hu
- State Key Laboratory of Hybrid Rice, College of Life Sciences, Wuhan University, Wuhan 430072, China
| | - Yan Wu
- State Key Laboratory of Hybrid Rice, College of Life Sciences, Wuhan University, Wuhan 430072, China
| | - Di Wu
- State Key Laboratory of Hybrid Rice, College of Life Sciences, Wuhan University, Wuhan 430072, China
| | - Weiwei Rao
- State Key Laboratory of Hybrid Rice, College of Life Sciences, Wuhan University, Wuhan 430072, China
| | - Jianping Guo
- State Key Laboratory of Hybrid Rice, College of Life Sciences, Wuhan University, Wuhan 430072, China
| | - Yinhua Ma
- State Key Laboratory of Hybrid Rice, College of Life Sciences, Wuhan University, Wuhan 430072, China
| | - Zhizheng Wang
- State Key Laboratory of Hybrid Rice, College of Life Sciences, Wuhan University, Wuhan 430072, China
| | - Xinxin Shangguan
- State Key Laboratory of Hybrid Rice, College of Life Sciences, Wuhan University, Wuhan 430072, China
| | - Huiying Wang
- State Key Laboratory of Hybrid Rice, College of Life Sciences, Wuhan University, Wuhan 430072, China
| | - Chunxue Xu
- State Key Laboratory of Hybrid Rice, College of Life Sciences, Wuhan University, Wuhan 430072, China
| | - Jin Huang
- State Key Laboratory of Hybrid Rice, College of Life Sciences, Wuhan University, Wuhan 430072, China
| | - Shaojie Shi
- State Key Laboratory of Hybrid Rice, College of Life Sciences, Wuhan University, Wuhan 430072, China
| | - Rongzhi Chen
- State Key Laboratory of Hybrid Rice, College of Life Sciences, Wuhan University, Wuhan 430072, China
| | - Bo Du
- State Key Laboratory of Hybrid Rice, College of Life Sciences, Wuhan University, Wuhan 430072, China
| | - Lili Zhu
- State Key Laboratory of Hybrid Rice, College of Life Sciences, Wuhan University, Wuhan 430072, China
| | - Guangcun He
- State Key Laboratory of Hybrid Rice, College of Life Sciences, Wuhan University, Wuhan 430072, China
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14
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Ke Y, Deng H, Wang S. Advances in understanding broad-spectrum resistance to pathogens in rice. THE PLANT JOURNAL : FOR CELL AND MOLECULAR BIOLOGY 2017; 90:738-748. [PMID: 27888533 DOI: 10.1111/tpj.13438] [Citation(s) in RCA: 52] [Impact Index Per Article: 7.4] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 10/15/2016] [Revised: 11/22/2016] [Accepted: 11/22/2016] [Indexed: 05/22/2023]
Abstract
Rice diseases caused by multiple pathogen species are a major obstacle to achieving optimal yield. Using host pathogen species-non-specific broad-spectrum resistance (BSR) for rice improvement is an efficient way to control diseases. Recent advances in rice genomics and improved understanding of the mechanisms of rice-pathogen interactions have shown that using a single gene to improve rice BSR to multiple pathogen species is technically possible and the necessary resources exist. A variety of rice genes, including major disease resistance genes and defense-responsive genes, which function in pattern-triggered immunity signaling, effector-triggered immunity signaling or quantitative resistance, can mediate BSR to two or more pathogen species independently. These genes encode diverse proteins and function differently in promoting disease resistance, thus providing a relatively broad choice for different breeding programs. This updated knowledge will facilitate rice improvement with pathogen species-non-specific BSR via gene marker-assisted selection or biotechnological approaches.
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Affiliation(s)
- Yinggen Ke
- National Key Laboratory of Crop Genetic Improvement, National Center of Plant Gene Research (Wuhan), Huazhong Agricultural University, Wuhan, 430070, China
| | - Hanqing Deng
- National Key Laboratory of Crop Genetic Improvement, National Center of Plant Gene Research (Wuhan), Huazhong Agricultural University, Wuhan, 430070, China
| | - Shiping Wang
- National Key Laboratory of Crop Genetic Improvement, National Center of Plant Gene Research (Wuhan), Huazhong Agricultural University, Wuhan, 430070, China
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15
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Ashkani S, Rafii MY, Shabanimofrad M, Miah G, Sahebi M, Azizi P, Tanweer FA, Akhtar MS, Nasehi A. Molecular Breeding Strategy and Challenges Towards Improvement of Blast Disease Resistance in Rice Crop. FRONTIERS IN PLANT SCIENCE 2015; 6:886. [PMID: 26635817 PMCID: PMC4644793 DOI: 10.3389/fpls.2015.00886] [Citation(s) in RCA: 44] [Impact Index Per Article: 4.9] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 06/19/2015] [Accepted: 10/06/2015] [Indexed: 05/20/2023]
Abstract
Rice is a staple and most important security food crop consumed by almost half of the world's population. More rice production is needed due to the rapid population growth in the world. Rice blast caused by the fungus, Magnaporthe oryzae is one of the most destructive diseases of this crop in different part of the world. Breakdown of blast resistance is the major cause of yield instability in several rice growing areas. There is a need to develop strategies providing long-lasting disease resistance against a broad spectrum of pathogens, giving protection for a long time over a broad geographic area, promising for sustainable rice production in the future. So far, molecular breeding approaches involving DNA markers, such as QTL mapping, marker-aided selection, gene pyramiding, allele mining and genetic transformation have been used to develop new resistant rice cultivars. Such techniques now are used as a low-cost, high-throughput alternative to conventional methods allowing rapid introgression of disease resistance genes into susceptible varieties as well as the incorporation of multiple genes into individual lines for more durable blast resistance. The paper briefly reviewed the progress of studies on this aspect to provide the interest information for rice disease resistance breeding. This review includes examples of how advanced molecular method have been used in breeding programs for improving blast resistance. New information and knowledge gained from previous research on the recent strategy and challenges towards improvement of blast disease such as pyramiding disease resistance gene for creating new rice varieties with high resistance against multiple diseases will undoubtedly provide new insights into the rice disease control.
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Affiliation(s)
- Sadegh Ashkani
- Laboratory of Food Crops, Institute of Tropical Agriculture, Universiti Putra MalaysiaSerdang, Malaysia
- Department of Agronomy and Plant Breeding, Yadegar –e- Imam Khomeini RAH Shahre-Rey Branch, Islamic Azad UniversityTehran, Iran
| | - Mohd Y. Rafii
- Laboratory of Food Crops, Institute of Tropical Agriculture, Universiti Putra MalaysiaSerdang, Malaysia
| | | | - Gous Miah
- Laboratory of Food Crops, Institute of Tropical Agriculture, Universiti Putra MalaysiaSerdang, Malaysia
| | - Mahbod Sahebi
- Laboratory of Plantation Crops, Institute of Tropical Agriculture, Universiti Putra MalaysiaSerdang, Malaysia
| | - Parisa Azizi
- Laboratory of Food Crops, Institute of Tropical Agriculture, Universiti Putra MalaysiaSerdang, Malaysia
| | - Fatah A. Tanweer
- Department of Crop Science, Faculty of Agriculture, Universiti Putra MalaysiaSerdang, Malaysia
- Department of Plant Breeding and Genetics, Faculty of Crop Production, Sindh Agriculture University TandojamSindh, Pakistan
| | - Mohd Sayeed Akhtar
- Laboratory of Plantation Crops, Institute of Tropical Agriculture, Universiti Putra MalaysiaSerdang, Malaysia
- Department of Botany, Gandhi Faiz-e-Aam CollegeShahjahanpur, India
| | - Abbas Nasehi
- Department of Plant Protection, Faculty of Agriculture, Universiti Putra MalaysiaSerdang, Malaysia
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16
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Cheng H, Liu H, Deng Y, Xiao J, Li X, Wang S. The WRKY45-2 WRKY13 WRKY42 transcriptional regulatory cascade is required for rice resistance to fungal pathogen. PLANT PHYSIOLOGY 2015; 167:1087-99. [PMID: 25624395 PMCID: PMC4348788 DOI: 10.1104/pp.114.256016] [Citation(s) in RCA: 94] [Impact Index Per Article: 10.4] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 12/19/2014] [Accepted: 01/23/2015] [Indexed: 05/20/2023]
Abstract
Blast caused by fungal Magnaporthe oryzae is a devastating disease of rice (Oryza sativa) worldwide, and this fungus also infects barley (Hordeum vulgare). At least 11 rice WRKY transcription factors have been reported to regulate rice response to M. oryzae either positively or negatively. However, the relationships of these WRKYs in the rice defense signaling pathway against M. oryzae are unknown. Previous studies have revealed that rice WRKY13 (as a transcriptional repressor) and WRKY45-2 enhance resistance to M. oryzae. Here, we show that rice WRKY42, functioning as a transcriptional repressor, suppresses resistance to M. oryzae. WRKY42-RNA interference (RNAi) and WRKY42-overexpressing (oe) plants showed increased resistance and susceptibility to M. oryzae, accompanied by increased or reduced jasmonic acid (JA) content, respectively, compared with wild-type plants. JA pretreatment enhanced the resistance of WRKY42-oe plants to M. oryzae. WRKY13 directly suppressed WRKY42. WRKY45-2, functioning as a transcriptional activator, directly activated WRKY13. In addition, WRKY13 directly suppressed WRKY45-2 by feedback regulation. The WRKY13-RNAi WRKY45-2-oe and WRKY13-oe WRKY42-oe double transgenic lines showed increased susceptibility to M. oryzae compared with WRKY45-2-oe and WRKY13-oe plants, respectively. These results suggest that the three WRKYs form a sequential transcriptional regulatory cascade. WRKY42 may negatively regulate rice response to M. oryzae by suppressing JA signaling-related genes, and WRKY45-2 transcriptionally activates WRKY13, whose encoding protein in turn transcriptionally suppresses WRKY42 to regulate rice resistance to M. oryzae.
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Affiliation(s)
- Hongtao Cheng
- National Key Laboratory of Crop Genetic Improvement, National Center of Plant Gene Research (Wuhan), Huazhong Agricultural University, Wuhan 430070, China
| | - Hongbo Liu
- National Key Laboratory of Crop Genetic Improvement, National Center of Plant Gene Research (Wuhan), Huazhong Agricultural University, Wuhan 430070, China
| | - Yong Deng
- National Key Laboratory of Crop Genetic Improvement, National Center of Plant Gene Research (Wuhan), Huazhong Agricultural University, Wuhan 430070, China
| | - Jinghua Xiao
- National Key Laboratory of Crop Genetic Improvement, National Center of Plant Gene Research (Wuhan), Huazhong Agricultural University, Wuhan 430070, China
| | - Xianghua Li
- National Key Laboratory of Crop Genetic Improvement, National Center of Plant Gene Research (Wuhan), Huazhong Agricultural University, Wuhan 430070, China
| | - Shiping Wang
- National Key Laboratory of Crop Genetic Improvement, National Center of Plant Gene Research (Wuhan), Huazhong Agricultural University, Wuhan 430070, China
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17
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Huang X, Yang S, Gong J, Zhao Y, Feng Q, Gong H, Li W, Zhan Q, Cheng B, Xia J, Chen N, Hao Z, Liu K, Zhu C, Huang T, Zhao Q, Zhang L, Fan D, Zhou C, Lu Y, Weng Q, Wang ZX, Li J, Han B. Genomic analysis of hybrid rice varieties reveals numerous superior alleles that contribute to heterosis. Nat Commun 2015; 6:6258. [PMID: 25651972 PMCID: PMC4327311 DOI: 10.1038/ncomms7258] [Citation(s) in RCA: 188] [Impact Index Per Article: 20.9] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/04/2014] [Accepted: 01/09/2015] [Indexed: 01/08/2023] Open
Abstract
Exploitation of heterosis is one of the most important applications of genetics in agriculture. However, the genetic mechanisms of heterosis are only partly understood, and a global view of heterosis from a representative number of hybrid combinations is lacking. Here we develop an integrated genomic approach to construct a genome map for 1,495 elite hybrid rice varieties and their inbred parental lines. We investigate 38 agronomic traits and identify 130 associated loci. In-depth analyses of the effects of heterozygous genotypes reveal that there are only a few loci with strong overdominance effects in hybrids, but a strong correlation is observed between the yield and the number of superior alleles. While most parental inbred lines have only a small number of superior alleles, high-yielding hybrid varieties have several. We conclude that the accumulation of numerous rare superior alleles with positive dominance is an important contributor to the heterotic phenomena.
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Affiliation(s)
- Xuehui Huang
- National Center for Gene Research, Collaborative Innovation Center for Genetics and Development, Institute of Plant Physiology and Ecology, Shanghai Institutes for Biological Sciences, Chinese Academy of Sciences, Shanghai 200233, China
| | - Shihua Yang
- State Key Laboratory of Rice Biology, China National Rice Research Institute, Chinese Academy of Agricultural Sciences, Hangzhou 310006, China
| | - Junyi Gong
- State Key Laboratory of Rice Biology, China National Rice Research Institute, Chinese Academy of Agricultural Sciences, Hangzhou 310006, China
| | - Yan Zhao
- National Center for Gene Research, Collaborative Innovation Center for Genetics and Development, Institute of Plant Physiology and Ecology, Shanghai Institutes for Biological Sciences, Chinese Academy of Sciences, Shanghai 200233, China
| | - Qi Feng
- National Center for Gene Research, Collaborative Innovation Center for Genetics and Development, Institute of Plant Physiology and Ecology, Shanghai Institutes for Biological Sciences, Chinese Academy of Sciences, Shanghai 200233, China
| | - Hao Gong
- National Center for Gene Research, Collaborative Innovation Center for Genetics and Development, Institute of Plant Physiology and Ecology, Shanghai Institutes for Biological Sciences, Chinese Academy of Sciences, Shanghai 200233, China
| | - Wenjun Li
- National Center for Gene Research, Collaborative Innovation Center for Genetics and Development, Institute of Plant Physiology and Ecology, Shanghai Institutes for Biological Sciences, Chinese Academy of Sciences, Shanghai 200233, China
| | - Qilin Zhan
- National Center for Gene Research, Collaborative Innovation Center for Genetics and Development, Institute of Plant Physiology and Ecology, Shanghai Institutes for Biological Sciences, Chinese Academy of Sciences, Shanghai 200233, China
| | - Benyi Cheng
- State Key Laboratory of Rice Biology, China National Rice Research Institute, Chinese Academy of Agricultural Sciences, Hangzhou 310006, China
| | - Junhui Xia
- State Key Laboratory of Rice Biology, China National Rice Research Institute, Chinese Academy of Agricultural Sciences, Hangzhou 310006, China
| | - Neng Chen
- State Key Laboratory of Rice Biology, China National Rice Research Institute, Chinese Academy of Agricultural Sciences, Hangzhou 310006, China
| | - Zhongna Hao
- Institute of Plant Protection and Microbiology, Zhejiang Academy of Agricultural Sciences, Hangzhou 310021, China
| | - Kunyan Liu
- National Center for Gene Research, Collaborative Innovation Center for Genetics and Development, Institute of Plant Physiology and Ecology, Shanghai Institutes for Biological Sciences, Chinese Academy of Sciences, Shanghai 200233, China
| | - Chuanrang Zhu
- National Center for Gene Research, Collaborative Innovation Center for Genetics and Development, Institute of Plant Physiology and Ecology, Shanghai Institutes for Biological Sciences, Chinese Academy of Sciences, Shanghai 200233, China
| | - Tao Huang
- National Center for Gene Research, Collaborative Innovation Center for Genetics and Development, Institute of Plant Physiology and Ecology, Shanghai Institutes for Biological Sciences, Chinese Academy of Sciences, Shanghai 200233, China
| | - Qiang Zhao
- National Center for Gene Research, Collaborative Innovation Center for Genetics and Development, Institute of Plant Physiology and Ecology, Shanghai Institutes for Biological Sciences, Chinese Academy of Sciences, Shanghai 200233, China
| | - Lei Zhang
- National Center for Gene Research, Collaborative Innovation Center for Genetics and Development, Institute of Plant Physiology and Ecology, Shanghai Institutes for Biological Sciences, Chinese Academy of Sciences, Shanghai 200233, China
| | - Danlin Fan
- National Center for Gene Research, Collaborative Innovation Center for Genetics and Development, Institute of Plant Physiology and Ecology, Shanghai Institutes for Biological Sciences, Chinese Academy of Sciences, Shanghai 200233, China
| | - Congcong Zhou
- National Center for Gene Research, Collaborative Innovation Center for Genetics and Development, Institute of Plant Physiology and Ecology, Shanghai Institutes for Biological Sciences, Chinese Academy of Sciences, Shanghai 200233, China
| | - Yiqi Lu
- National Center for Gene Research, Collaborative Innovation Center for Genetics and Development, Institute of Plant Physiology and Ecology, Shanghai Institutes for Biological Sciences, Chinese Academy of Sciences, Shanghai 200233, China
| | - Qijun Weng
- National Center for Gene Research, Collaborative Innovation Center for Genetics and Development, Institute of Plant Physiology and Ecology, Shanghai Institutes for Biological Sciences, Chinese Academy of Sciences, Shanghai 200233, China
| | - Zi-Xuan Wang
- National Center for Gene Research, Collaborative Innovation Center for Genetics and Development, Institute of Plant Physiology and Ecology, Shanghai Institutes for Biological Sciences, Chinese Academy of Sciences, Shanghai 200233, China
| | - Jiayang Li
- National Center for Plant Gene Research, State Key Laboratory of Plant Genomics, Institute of Genetics and Developmental Biology, Chinese Academy of Sciences, Beijing 100101, China
| | - Bin Han
- National Center for Gene Research, Collaborative Innovation Center for Genetics and Development, Institute of Plant Physiology and Ecology, Shanghai Institutes for Biological Sciences, Chinese Academy of Sciences, Shanghai 200233, China
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18
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Niks RE, Qi X, Marcel TC. Quantitative resistance to biotrophic filamentous plant pathogens: concepts, misconceptions, and mechanisms. ANNUAL REVIEW OF PHYTOPATHOLOGY 2015; 53:445-70. [PMID: 26047563 DOI: 10.1146/annurev-phyto-080614-115928] [Citation(s) in RCA: 121] [Impact Index Per Article: 13.4] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 05/02/2023]
Abstract
Quantitative resistance (QR) refers to a resistance that is phenotypically incomplete and is based on the joined effect of several genes, each contributing quantitatively to the level of plant defense. Often, QR remains durably effective, which is the primary driver behind the interest in it. The various terms that are used to refer to QR, such as field resistance, adult plant resistance, and basal resistance, reflect the many properties attributed to it. In this article, we discuss aspects connected to those attributions, in particular the hypothesis that much of the QR to biotrophic filamentous pathogens is basal resistance, i.e., poor suppression of PAMP-triggered defense by effectors. We discuss what role effectors play in suppressing defense or improving access to nutrients. Based on the functions of the few plant proteins identified as involved in QR, vesicle trafficking and protein/metabolite transportation are likely to be common physiological processes relevant to QR.
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Affiliation(s)
- Rients E Niks
- Laboratory of Plant Breeding, Wageningen University and Research Centre, 6700 AJ Wageningen, The Netherlands;
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19
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Ashkani S, Rafii MY, Shabanimofrad M, Ghasemzadeh A, Ravanfar SA, Latif MA. Molecular progress on the mapping and cloning of functional genes for blast disease in rice (Oryza sativa L.): current status and future considerations. Crit Rev Biotechnol 2014; 36:353-67. [PMID: 25394538 DOI: 10.3109/07388551.2014.961403] [Citation(s) in RCA: 49] [Impact Index Per Article: 4.9] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/13/2022]
Abstract
Rice blast disease, which is caused by the fungal pathogen Magnaporthe oryzae, is a recurring problem in all rice-growing regions of the world. The use of resistance (R) genes in rice improvement breeding programmes has been considered to be one of the best options for crop protection and blast management. Alternatively, quantitative resistance conferred by quantitative trait loci (QTLs) is also a valuable resource for the improvement of rice disease resistance. In the past, intensive efforts have been made to identify major R-genes as well as QTLs for blast disease using molecular techniques. A review of bibliographic references shows over 100 blast resistance genes and a larger number of QTLs (∼500) that were mapped to the rice genome. Of the blast resistance genes, identified in different genotypes of rice, ∼22 have been cloned and characterized at the molecular level. In this review, we have summarized the reported rice blast resistance genes and QTLs for utilization in future molecular breeding programmes to introgress high-degree resistance or to pyramid R-genes in commercial cultivars that are susceptible to M. oryzae. The goal of this review is to provide an overview of the significant studies in order to update our understanding of the molecular progress on rice and M. oryzae. This information will assist rice breeders to improve the resistance to rice blast using marker-assisted selection which continues to be a priority for rice-breeding programmes.
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Affiliation(s)
- S Ashkani
- a Institute of Tropical Agriculture, Universiti Putra Malaysia , Serdang , Selangor , Malaysia .,b Department of Agronomy and Plant Breeding , Shahr-e- Rey Branch, Islamic Azad University , Tehran , Iran
| | - M Y Rafii
- a Institute of Tropical Agriculture, Universiti Putra Malaysia , Serdang , Selangor , Malaysia
| | - M Shabanimofrad
- c Department of Crop Science , Faculty of Agriculture, Universiti Putra Malaysia , Serdang , Selangor , Malaysia , and
| | - A Ghasemzadeh
- c Department of Crop Science , Faculty of Agriculture, Universiti Putra Malaysia , Serdang , Selangor , Malaysia , and
| | - S A Ravanfar
- a Institute of Tropical Agriculture, Universiti Putra Malaysia , Serdang , Selangor , Malaysia
| | - M A Latif
- c Department of Crop Science , Faculty of Agriculture, Universiti Putra Malaysia , Serdang , Selangor , Malaysia , and.,d Bangladesh Rice Research Institute (BRRI) , Plant Pathology Division , Gazipur , Bangladesh
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20
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Duan L, Liu H, Li X, Xiao J, Wang S. Multiple phytohormones and phytoalexins are involved in disease resistance to Magnaporthe oryzae invaded from roots in rice. PHYSIOLOGIA PLANTARUM 2014; 152:486-500. [PMID: 24684436 DOI: 10.1111/ppl.12192] [Citation(s) in RCA: 59] [Impact Index Per Article: 5.9] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 10/19/2013] [Revised: 02/13/2014] [Accepted: 02/16/2014] [Indexed: 05/04/2023]
Abstract
Blast, caused by the fungus Magnaporthe oryzae, is one of the most devastating diseases of rice worldwide. Phenylalanine ammonia lyase (PAL) is a key enzyme in the phenylpropanoid pathway, which leads to the biosynthesis of defense-related phytohormone salicylic acid (SA) and flavonoid-type phytoalexins sakuranetin and naringenin. However, the roles and biochemical features of individual rice PALs in defense responses to pathogens remain unclear. Here, we report that rice OsPAL06, which can catalyze the formation of trans-cinnamate using l-phenylalanine, is involved in rice root-M. oryzae interaction. OsPAL06-knockout mutant showed increased susceptibility to M. oryzae invaded from roots and developed typical leaf blast symptoms, accompanied by nearly complete disappearance of sakuranetin and naringenin and a two-third reduction of the SA level in roots. This mutant also showed compensatively induced expression of chalcone synthase, which is involved in flavonoid biosynthesis, isochorismate synthase 1, which is putatively involved in SA synthesis via another pathway, reduced jasmonate content and increased ethylene content. These results suggest that OsPAL06 is a positive regulator in preventing M. oryzae infection from roots. It may regulate defense by promoting both phytoalexin accumulation and SA signaling that synergistically and antagonistically interacts with jasmonate- and ethylene-dependent signaling, respectively.
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Affiliation(s)
- Liu Duan
- National Key Laboratory of Crop Genetic Improvement, National Center of Plant Gene Research (Wuhan), Huazhong Agricultural University, Wuhan, 430070, China
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Li N, Li X, Xiao J, Wang S. Comprehensive analysis of VQ motif-containing gene expression in rice defense responses to three pathogens. PLANT CELL REPORTS 2014; 33:1493-505. [PMID: 24871256 DOI: 10.1007/s00299-014-1633-4] [Citation(s) in RCA: 36] [Impact Index Per Article: 3.6] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 02/09/2014] [Revised: 05/04/2014] [Accepted: 05/16/2014] [Indexed: 05/11/2023]
Abstract
Expression levels of rice VQ motif-containing genes in response to pathogen infection vary among pathogens, and some of the genes are co-expressed with defense-response WRKY genes. Recent studies have revealed that some VQ (FxxxVQxLTG) motif-containing proteins in plants partner with WRKY transcription factors to participate in their functions. Accumulating information suggests that WRKY proteins play important roles in the response of rice plants to pathogen infection. However, the functions of rice VQ motif-containing proteins are unknown. To explore whether VQ motif-containing proteins are involved in defense against pathogens in rice, we performed a comprehensive expression analysis of the genes for these proteins. The rice VQ motif-containing family consists of 40 genes, all of which encode proteins harboring a 21-amino acid VQ-containing motif, which in turn contains the known VQ motif. On the basis of their phylogenetic relationships and tissue-specific and developmental stage-specific expression characteristics, we transcriptionally analyzed 13 representative genes in rice responses to three pathogens: Xanthomonas oryzae pv. oryzae, which causes bacterial blight disease; X. oryzae pv. oryzicola, which causes bacterial streak disease; and Magnaporthe oryzae, which causes fungal blast disease. The expression of some of the genes changed markedly in response to infection by at least one of the pathogen species, and some of the genes also showed markedly different expression in resistant and susceptible reactions. In addition, some defense-responsive VQ motif-containing genes were co-expressed with defense-response WRKY genes. These results provide a new perspective on the putative roles of rice VQ motif-containing proteins and their putative WRKY partners in rice-pathogen interactions.
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Affiliation(s)
- Na Li
- National Key Laboratory of Crop Genetic Improvement, National Center of Plant Gene Research (Wuhan), Huazhong Agricultural University, Wuhan, 430070, China,
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Zhou T, Gao C, Du L, Feng H, Wang L, Lan Y, Sun F, Wei L, Fan Y, Shen W, Zhou Y. Genetic analysis and QTL detection for resistance to white tip disease in rice. PLoS One 2014; 9:e106099. [PMID: 25162680 PMCID: PMC4146579 DOI: 10.1371/journal.pone.0106099] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/07/2014] [Accepted: 07/01/2014] [Indexed: 11/18/2022] Open
Abstract
The inheritance of resistance to white tip disease (WTDR) in rice (Oryza sativa L.) was analyzed with an artificial inoculation test in a segregating population derived from the cross between Tetep, a highly resistant variety that was identified in a previous study, and a susceptible cultivar. Three resistance-associated traits, including the number of Aphelenchoides besseyi (A. besseyi) individuals in 100 grains (NA), the loss rate of panicle weight (LRPW) and the loss rate of the total grains per panicle (LRGPP) were analyzed for the detection of the quantitative trait locus (QTL) in the population after construction of a genetic map. Six QTLs distributed on chromosomes 3, 5 and 9 were mapped. qNA3 and qNA9, conferring reproduction number of A. besseyi in the panicle, accounted for 16.91% and 12.54% of the total phenotypic variance, respectively. qDRPW5a and qDRPW5b, associated with yield loss, were located at two adjacent marker intervals on chromosome 5 and explained 14.15% and 14.59% of the total phenotypic variation and possessed LOD values of 3.40 and 3.39, respectively. qDRPW9 was considered as a minor QTL and only explained 1.02% of the phenotypic variation. qLRGPP5 contributed to the loss in the number of grains and explained 10.91% of the phenotypic variation. This study provides useful information for the breeding of resistant cultivars against white tip disease in rice.
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Affiliation(s)
- Tong Zhou
- Institute of Plant Protection, Jiangsu Academy of Agricultural Sciences, Nanjing, China
| | - Cunyi Gao
- Institute of Plant Protection, Jiangsu Academy of Agricultural Sciences, Nanjing, China
- College of Life Science, Nanjing Agricultural University, Nanjing, China
| | - Linlin Du
- Institute of Plant Protection, Jiangsu Academy of Agricultural Sciences, Nanjing, China
| | - Hui Feng
- Institute of Plant Protection, Jiangsu Academy of Agricultural Sciences, Nanjing, China
| | - Lijiao Wang
- Institute of Plant Protection, Jiangsu Academy of Agricultural Sciences, Nanjing, China
| | - Ying Lan
- Institute of Plant Protection, Jiangsu Academy of Agricultural Sciences, Nanjing, China
| | - Feng Sun
- Institute of Plant Protection, Jiangsu Academy of Agricultural Sciences, Nanjing, China
| | - Lihui Wei
- Institute of Plant Protection, Jiangsu Academy of Agricultural Sciences, Nanjing, China
| | - Yongjian Fan
- Institute of Plant Protection, Jiangsu Academy of Agricultural Sciences, Nanjing, China
| | - Wenbiao Shen
- College of Life Science, Nanjing Agricultural University, Nanjing, China
- * E-mail: (YZ); (WS)
| | - Yijun Zhou
- Institute of Plant Protection, Jiangsu Academy of Agricultural Sciences, Nanjing, China
- * E-mail: (YZ); (WS)
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Zuo S, Yin Y, Pan C, Chen Z, Zhang Y, Gu S, Zhu L, Pan X. Fine mapping of qSB-11(LE), the QTL that confers partial resistance to rice sheath blight. TAG. THEORETICAL AND APPLIED GENETICS. THEORETISCHE UND ANGEWANDTE GENETIK 2013; 126:1257-72. [PMID: 23423653 DOI: 10.1007/s00122-013-2051-7] [Citation(s) in RCA: 19] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 07/06/2012] [Accepted: 01/19/2013] [Indexed: 05/22/2023]
Abstract
Sheath blight (SB), caused by Rhizoctonia solani kühn, is one of the most serious global rice diseases. No major resistance genes to SB have been identified so far. All discovered loci are quantitative resistance to rice SB. The qSB-11(LE) resistance quantitative trait locus (QTL) has been previously reported on chromosome 11 of Lemont (LE). In this study, we report the precise location of qSB-11 (LE) . We developed a near isogenic line, NIL-qSB11(TQ), by marker-assisted selection that contains susceptible allele(s) from Teqing (TQ) at the qSB-11 locus in the LE genetic background. NIL-qSB11(TQ) shows higher susceptibility to SB than LE in both field and greenhouse tests, suggesting that this region of LE contains a QTL contributing to SB resistance. In order to eliminate the genetic background effects and increase the accuracy of phenotypic evaluation, a total of 112 chromosome segment substitution lines (CSSLs) with the substituted segment specific to the qSB-11 (LE) region were produced as the fine mapping population. The genetic backgrounds and morphological characteristics of these CSSLs are similar to those of the recurrent parent LE. The donor TQ chromosomal segments in these CSSL lines contiguously overlap to bridge the qSB-11 (LE) region. Through artificial inoculation, all CSSLs were evaluated for resistance to SB in the field in 2005. For the recombinant lines, their phenotypes were evaluated in the field for another 3 years and during the final year were also evaluated in a controlled greenhouse environment, showing a consistent phenotype in SB resistance across years and conditions. After comparing the genotypic profile of each CSSL with its phenotype, we are able to localize qSB-11 (LE) to the region defined by two cleaved-amplified polymorphic sequence markers, Z22-27C and Z23-33C covering 78.871 kb, based on the rice reference genome. Eleven putative genes were annotated within this region and three of them were considered the most likely candidates. The results of this study will greatly facilitate the cloning of the genes responsible for qSB-11 (LE) and marker-assisted breeding to incorporate qSB-11 (LE) into other rice cultivars.
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Affiliation(s)
- Shimin Zuo
- Key Lab of Plant Functional Genomics, Ministry of Education, Yangzhou University, Yangzhou 225009, People's Republic of China.
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Wang Q, Liu Y, Hu J, Zhang Y, Xie K, Wang B, Tuyen LQ, Song Z, Wu H, Liu Y, Jiang L, Liu S, Cheng X, Wang C, Zhai H, Wan J. Detection of quantitative trait loci (QTLs) for resistances to small brown planthopper and rice stripe virus in rice using recombinant inbred lines. Int J Mol Sci 2013; 14:8406-21. [PMID: 23591851 PMCID: PMC3645751 DOI: 10.3390/ijms14048406] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/18/2013] [Revised: 04/05/2013] [Accepted: 04/09/2013] [Indexed: 11/28/2022] Open
Abstract
Small brown planthopper (SBPH) and rice stripe virus (RSV) disease transmitted by SBPH cause serious damage to rice (Oryza sativa L.) in China. In the present study, we screened 312 rice accessions for resistance to SBPH. The indica variety, N22, is highly resistant to SBPH. One hundred and eighty two recombinant inbred lines (RILs) derived from a cross of N22 and the highly susceptible variety, USSR5, were used for quantitative trait locus (QTL) analysis of resistances to SBPH and RSV. In a modified seedbox screening test, three QTLs for SBPH resistance, qSBPH2, qSBPH3 and qSBPH7.1, were mapped on chromosomes 2, 3 and 7, a total explaining 35.1% of the phenotypic variance. qSBPH7.2 and qSBPH11.2, conferring antibiosis against SBPH, were detected on chromosomes 7 and 11 and accounted for 20.7% of the total phenotypic variance. In addition, qSBPH5 and qSBPH7.3, expressing antixenosis to SBPH, were detected on chromosomes 5 and 7, explaining 23.9% of the phenotypic variance. qSBPH7.1, qSBPH7.2 and qSBPH7.3, located in the same region between RM234 and RM429 on chromosome 7, using three different phenotyping methods indicate that the locus or region plays a major role in conferring resistance to SBPH in N22. Moreover, three QTLs, qSTV4, qSTV11.1 and qSTV11.2, for RSV resistance were detected on chromosomes 4 and 11. qSTV11.1 and qSTV11.2 are located in the same region between RM287 and RM209 on chromosome 11. Molecular markers spanning these QTLs should be useful in the development of varieties with resistance to SBPH and RSV.
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Affiliation(s)
- Qi Wang
- State Key Laboratory for Crop Genetics and Germplasm Enhancement, Jiangsu Provincial Center of Plant Gene Engineering, Nanjing Agricultural University, Weigang 1, Nanjing 210095, China; E-Mails: (Q.W.); (Y.L.); (J.H.); (Y.Z.); (K.X.); (B.W.); (L.Q.T.); (Z.S.); (H.W.); (Y.L.); (L.J.); (S.L.); (X.C.); (C.W.); (H.Z.)
| | - Yuqiang Liu
- State Key Laboratory for Crop Genetics and Germplasm Enhancement, Jiangsu Provincial Center of Plant Gene Engineering, Nanjing Agricultural University, Weigang 1, Nanjing 210095, China; E-Mails: (Q.W.); (Y.L.); (J.H.); (Y.Z.); (K.X.); (B.W.); (L.Q.T.); (Z.S.); (H.W.); (Y.L.); (L.J.); (S.L.); (X.C.); (C.W.); (H.Z.)
| | - Jinlong Hu
- State Key Laboratory for Crop Genetics and Germplasm Enhancement, Jiangsu Provincial Center of Plant Gene Engineering, Nanjing Agricultural University, Weigang 1, Nanjing 210095, China; E-Mails: (Q.W.); (Y.L.); (J.H.); (Y.Z.); (K.X.); (B.W.); (L.Q.T.); (Z.S.); (H.W.); (Y.L.); (L.J.); (S.L.); (X.C.); (C.W.); (H.Z.)
| | - Yingxin Zhang
- State Key Laboratory for Crop Genetics and Germplasm Enhancement, Jiangsu Provincial Center of Plant Gene Engineering, Nanjing Agricultural University, Weigang 1, Nanjing 210095, China; E-Mails: (Q.W.); (Y.L.); (J.H.); (Y.Z.); (K.X.); (B.W.); (L.Q.T.); (Z.S.); (H.W.); (Y.L.); (L.J.); (S.L.); (X.C.); (C.W.); (H.Z.)
| | - Kun Xie
- State Key Laboratory for Crop Genetics and Germplasm Enhancement, Jiangsu Provincial Center of Plant Gene Engineering, Nanjing Agricultural University, Weigang 1, Nanjing 210095, China; E-Mails: (Q.W.); (Y.L.); (J.H.); (Y.Z.); (K.X.); (B.W.); (L.Q.T.); (Z.S.); (H.W.); (Y.L.); (L.J.); (S.L.); (X.C.); (C.W.); (H.Z.)
| | - Baoxiang Wang
- State Key Laboratory for Crop Genetics and Germplasm Enhancement, Jiangsu Provincial Center of Plant Gene Engineering, Nanjing Agricultural University, Weigang 1, Nanjing 210095, China; E-Mails: (Q.W.); (Y.L.); (J.H.); (Y.Z.); (K.X.); (B.W.); (L.Q.T.); (Z.S.); (H.W.); (Y.L.); (L.J.); (S.L.); (X.C.); (C.W.); (H.Z.)
| | - Le Quang Tuyen
- State Key Laboratory for Crop Genetics and Germplasm Enhancement, Jiangsu Provincial Center of Plant Gene Engineering, Nanjing Agricultural University, Weigang 1, Nanjing 210095, China; E-Mails: (Q.W.); (Y.L.); (J.H.); (Y.Z.); (K.X.); (B.W.); (L.Q.T.); (Z.S.); (H.W.); (Y.L.); (L.J.); (S.L.); (X.C.); (C.W.); (H.Z.)
| | - Zhaoqiang Song
- State Key Laboratory for Crop Genetics and Germplasm Enhancement, Jiangsu Provincial Center of Plant Gene Engineering, Nanjing Agricultural University, Weigang 1, Nanjing 210095, China; E-Mails: (Q.W.); (Y.L.); (J.H.); (Y.Z.); (K.X.); (B.W.); (L.Q.T.); (Z.S.); (H.W.); (Y.L.); (L.J.); (S.L.); (X.C.); (C.W.); (H.Z.)
| | - Han Wu
- State Key Laboratory for Crop Genetics and Germplasm Enhancement, Jiangsu Provincial Center of Plant Gene Engineering, Nanjing Agricultural University, Weigang 1, Nanjing 210095, China; E-Mails: (Q.W.); (Y.L.); (J.H.); (Y.Z.); (K.X.); (B.W.); (L.Q.T.); (Z.S.); (H.W.); (Y.L.); (L.J.); (S.L.); (X.C.); (C.W.); (H.Z.)
| | - Yanling Liu
- State Key Laboratory for Crop Genetics and Germplasm Enhancement, Jiangsu Provincial Center of Plant Gene Engineering, Nanjing Agricultural University, Weigang 1, Nanjing 210095, China; E-Mails: (Q.W.); (Y.L.); (J.H.); (Y.Z.); (K.X.); (B.W.); (L.Q.T.); (Z.S.); (H.W.); (Y.L.); (L.J.); (S.L.); (X.C.); (C.W.); (H.Z.)
| | - Ling Jiang
- State Key Laboratory for Crop Genetics and Germplasm Enhancement, Jiangsu Provincial Center of Plant Gene Engineering, Nanjing Agricultural University, Weigang 1, Nanjing 210095, China; E-Mails: (Q.W.); (Y.L.); (J.H.); (Y.Z.); (K.X.); (B.W.); (L.Q.T.); (Z.S.); (H.W.); (Y.L.); (L.J.); (S.L.); (X.C.); (C.W.); (H.Z.)
| | - Shijia Liu
- State Key Laboratory for Crop Genetics and Germplasm Enhancement, Jiangsu Provincial Center of Plant Gene Engineering, Nanjing Agricultural University, Weigang 1, Nanjing 210095, China; E-Mails: (Q.W.); (Y.L.); (J.H.); (Y.Z.); (K.X.); (B.W.); (L.Q.T.); (Z.S.); (H.W.); (Y.L.); (L.J.); (S.L.); (X.C.); (C.W.); (H.Z.)
| | - Xianian Cheng
- State Key Laboratory for Crop Genetics and Germplasm Enhancement, Jiangsu Provincial Center of Plant Gene Engineering, Nanjing Agricultural University, Weigang 1, Nanjing 210095, China; E-Mails: (Q.W.); (Y.L.); (J.H.); (Y.Z.); (K.X.); (B.W.); (L.Q.T.); (Z.S.); (H.W.); (Y.L.); (L.J.); (S.L.); (X.C.); (C.W.); (H.Z.)
| | - Chunming Wang
- State Key Laboratory for Crop Genetics and Germplasm Enhancement, Jiangsu Provincial Center of Plant Gene Engineering, Nanjing Agricultural University, Weigang 1, Nanjing 210095, China; E-Mails: (Q.W.); (Y.L.); (J.H.); (Y.Z.); (K.X.); (B.W.); (L.Q.T.); (Z.S.); (H.W.); (Y.L.); (L.J.); (S.L.); (X.C.); (C.W.); (H.Z.)
| | - Huqu Zhai
- State Key Laboratory for Crop Genetics and Germplasm Enhancement, Jiangsu Provincial Center of Plant Gene Engineering, Nanjing Agricultural University, Weigang 1, Nanjing 210095, China; E-Mails: (Q.W.); (Y.L.); (J.H.); (Y.Z.); (K.X.); (B.W.); (L.Q.T.); (Z.S.); (H.W.); (Y.L.); (L.J.); (S.L.); (X.C.); (C.W.); (H.Z.)
- Institute of Crop Science, the National Key Facility for Crop Gene Resources and Genetic Improvement, Chinese Academy of Agricultural Sciences, Beijing 100081, China
| | - Jianmin Wan
- State Key Laboratory for Crop Genetics and Germplasm Enhancement, Jiangsu Provincial Center of Plant Gene Engineering, Nanjing Agricultural University, Weigang 1, Nanjing 210095, China; E-Mails: (Q.W.); (Y.L.); (J.H.); (Y.Z.); (K.X.); (B.W.); (L.Q.T.); (Z.S.); (H.W.); (Y.L.); (L.J.); (S.L.); (X.C.); (C.W.); (H.Z.)
- Institute of Crop Science, the National Key Facility for Crop Gene Resources and Genetic Improvement, Chinese Academy of Agricultural Sciences, Beijing 100081, China
- Author to whom correspondence should be addressed; E-Mail: ; Tel.: +86-25-8439-9061; Fax: +86-25-8439-6516
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Abstract
Rice diseases such as blast (Magnaporthe oryzae), sheath blight (Rhizoctonia solani) and bacterial blight (Xanthomonas oryzae pv oryzae) are a major obstacle to achieving optimal yields. To complement conventional breeding method, molecular and transgenic method represents an increasingly important approach for genetic improvement of disease resistance and reduction of pesticide usage. During the past two decades, a wide variety of genes and mechanisms involved in rice defense response have been identified and elucidated. These include components of pathogen recognition, signal transduction, downstream defense-related proteins, and crosstalk among different signaling pathways. In addition, various molecular strategies including use of specialized promoters, modification of target protein structures have been studied and proposed to improve the effectiveness of transgenes. While genetically improving rice for enhanced disease resistance, it is important to consider potential effects of the transgene on rice yield, tolerance to abiotic stresses, and defense against other pathogens.
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Affiliation(s)
- Emily E Helliwell
- Department of Plant Pathology, Huck Institutes of Life Sciences, Pennsylvania State University, University Park, PA, USA
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Ashkani S, Rafii MY, Rahim HA, Latif MA. Genetic dissection of rice blast resistance by QTL mapping approach using an F3 population. Mol Biol Rep 2012. [DOI: 10.1007/s11033-012-2331-3] [Citation(s) in RCA: 25] [Impact Index Per Article: 2.1] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/30/2022]
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Miah G, Rafii MY, Ismail MR, Puteh AB, Rahim HA, Asfaliza R, Latif MA. Blast resistance in rice: a review of conventional breeding to molecular approaches. Mol Biol Rep 2012. [DOI: 10.1007/s11033-012-2318-0] [Citation(s) in RCA: 136] [Impact Index Per Article: 11.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/15/2023]
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González AM, Marcel TC, Niks RE. Evidence for a minor gene-for-minor gene interaction explaining nonhypersensitive polygenic partial disease resistance. PHYTOPATHOLOGY 2012; 102:1086-93. [PMID: 22835013 DOI: 10.1094/phyto-03-12-0056-r] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 05/04/2023]
Abstract
ABSTRACT Partial resistance is a quantitative type of resistance that, by definition of Parlevliet, is not based on hypersensitivity. It is largely pathotype nonspecific, although some minor isolate-specific responses have been reported. In order to elucidate the isolate specificity of individual genes for partial resistance, three barley recombinant inbred line mapping populations were analyzed for resistance to the leaf rust fungus Puccinia hordei. The mapping populations were inoculated with one isolate avirulent and two isolates virulent to resistance gene Rph7g. Six significant quantitative trait loci (QTLs) were detected. Of these, two (Rphq3 and Rphq11) were detected with only the avirulent isolate (1.2.1.) and one (Rphq18) only with both virulent isolates (CO-04 and 28.1). The effectiveness of these QTLs was tested with 14 isolates, using a tester set of genotypes containing alleles for resistance or susceptibility for these QTLs. QTL Rphq18 was effective to only two isolates, CO-04 and 28.1, whereas Rphq3 and Rphq11 were ineffective to CO-04 and 28.1 but effective to all other isolates, except one. This resulted in a significant Person's differential interaction, which is a hallmark of a gene-for-gene interaction. The minor gene-for-minor gene interaction is not based on hypersensitivity and there is no evidence that the resistance is based on genes belonging to the nucleotide-binding leucine-rich repeat class.
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Affiliation(s)
- Ana M González
- Laboratory of Plant Breeding, Wageningen University and Research Center (WUR), 6700 AJ Wageningen, The Netherlands.
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Liu B, Li JF, Ao Y, Qu J, Li Z, Su J, Zhang Y, Liu J, Feng D, Qi K, He Y, Wang J, Wang HB. Lysin motif-containing proteins LYP4 and LYP6 play dual roles in peptidoglycan and chitin perception in rice innate immunity. THE PLANT CELL 2012; 24:3406-19. [PMID: 22872757 PMCID: PMC3462640 DOI: 10.1105/tpc.112.102475] [Citation(s) in RCA: 128] [Impact Index Per Article: 10.7] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 07/07/2012] [Revised: 07/07/2012] [Accepted: 07/21/2012] [Indexed: 05/18/2023]
Abstract
Plant innate immunity relies on successful detection of microbe-associated molecular patterns (MAMPs) of invading microbes via pattern recognition receptors (PRRs) at the plant cell surface. Here, we report two homologous rice (Oryza sativa) lysin motif-containing proteins, LYP4 and LYP6, as dual functional PRRs sensing bacterial peptidoglycan (PGN) and fungal chitin. Live cell imaging and microsomal fractionation consistently revealed the plasma membrane localization of these proteins in rice cells. Transcription of these two genes could be induced rapidly upon exposure to bacterial pathogens or diverse MAMPs. Both proteins selectively bound PGN and chitin but not lipopolysaccharide (LPS) in vitro. Accordingly, silencing of either LYP specifically impaired PGN- or chitin- but not LPS-induced defense responses in rice, including reactive oxygen species generation, defense gene activation, and callose deposition, leading to compromised resistance against bacterial pathogen Xanthomonas oryzae and fungal pathogen Magnaporthe oryzae. Interestingly, pretreatment with excess PGN dramatically attenuated the alkalinization response of rice cells to chitin but not to flagellin; vice versa, pretreatment with chitin attenuated the response to PGN, suggesting that PGN and chitin engage overlapping perception components in rice. Collectively, our data support the notion that LYP4 and LYP6 are promiscuous PRRs for PGN and chitin in rice innate immunity.
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Toward an understanding of the molecular basis of quantitative disease resistance in rice. J Biotechnol 2012; 159:283-90. [DOI: 10.1016/j.jbiotec.2011.07.002] [Citation(s) in RCA: 37] [Impact Index Per Article: 3.1] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/07/2011] [Revised: 06/08/2011] [Accepted: 07/06/2011] [Indexed: 11/22/2022]
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Qiu Y, Guo J, Jing S, Zhu L, He G. Development and characterization of japonica rice lines carrying the brown planthopper-resistance genes BPH12 and BPH6. TAG. THEORETICAL AND APPLIED GENETICS. THEORETISCHE UND ANGEWANDTE GENETIK 2012; 124:485-94. [PMID: 22038433 DOI: 10.1007/s00122-011-1722-5] [Citation(s) in RCA: 45] [Impact Index Per Article: 3.8] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 09/28/2010] [Accepted: 10/07/2011] [Indexed: 05/20/2023]
Abstract
The brown planthopper (Nilaparvata lugens Stål; BPH) has become a severe constraint on rice production. Identification and pyramiding BPH-resistance genes is an economical and effective solution to increase the resistance level of rice varieties. All the BPH-resistance genes identified to date have been from indica rice or wild species. The BPH12 gene in the indica rice accession B14 is derived from the wild species Oryza latifolia. Using an F(2) population from a cross between the indica cultivar 93-11 and B14, we mapped the BPH12 gene to a 1.9-cM region on chromosome 4, flanked by the markers RM16459 and RM1305. In this population, BPH12 appeared to be partially dominant and explained 73.8% of the phenotypic variance in BPH resistance. A near-isogenic line (NIL) containing the BPH12 locus in the background of the susceptible japonica variety Nipponbare was developed and crossed with a NIL carrying BPH6 to generate a pyramid line (PYL) with both genes. BPH insects showed significant differences in non-preference in comparisons between the lines harboring resistance genes (NILs and PYL) and Nipponbare. BPH growth and development were inhibited and survival rates were lower on the NIL-BPH12 and NIL-BPH6 plants compared to the recurrent parent Nipponbare. PYL-BPH6 + BPH12 exhibited 46.4, 26.8 and 72.1% reductions in population growth rates (PGR) compared to NIL-BPH12, NIL-BPH6 and Nipponbare, respectively. Furthermore, insect survival rates were the lowest on the PYL-BPH6 + BPH12 plants. These results demonstrated that pyramiding different BPH-resistance genes resulted in stronger antixenotic and antibiotic effects on the BPH insects. This gene pyramiding strategy should be of great benefit for the breeding of BPH-resistant japonica rice varieties.
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Affiliation(s)
- Yongfu Qiu
- State Key Laboratory of Hybrid Rice, College of Life Sciences, Wuhan University, Wuhan, 430072, China
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Wang N, Xiao B, Xiong L. Identification of a cluster of PR4-like genes involved in stress responses in rice. JOURNAL OF PLANT PHYSIOLOGY 2011; 168:2212-24. [PMID: 21955397 DOI: 10.1016/j.jplph.2011.07.013] [Citation(s) in RCA: 30] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 03/17/2011] [Revised: 06/24/2011] [Accepted: 07/06/2011] [Indexed: 05/21/2023]
Abstract
PR4 proteins constitute a pathogenesis-related (PR) protein family with a conserved BARWIN domain. In this study, we analyzed PR4-homologous genes in rice (Oryza sativa L.) and identified five putative PR4 genes designated as OsPR4a-e. The five PR4 genes are located in tandem on chromosome 11 and constitute a gene cluster with high sequence similarity to each other. The OsPR4 proteins have high sequence similarity to reported PR4 proteins from monocotyledonous species and are predicted to be class II PR4 proteins. Distinct diversification of plant PR4 proteins exists between monocotyledonous and dicotyledonous plants. Except for OsPR4e, which was not detected with any transcript, the other four OsPR4 genes showed diverse temporal-spatial expression patterns, and their expressions are responsive to Magnaporthe grisea infection. Interestingly, the OsPR4 genes are also responsive to abiotic stresses. Their expression levels were strongly induced by at least one of the stress treatments including drought, salt, cold, wounding, heat shock, and ultraviolet. The transcript levels of OsPR4 genes were also induced by some phytohormones such as abscisic acid and jasmonic acid. Transgenic rice with overexpression of OsPR4a showed enhanced tolerance to drought at both seedling and reproductive stages. We conclude that rice PR4 genes are also involved in abiotic stress responses and tolerance in addition to their responsiveness to pathogen attacks.
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Affiliation(s)
- Nili Wang
- National Key Laboratory of Crop Genetic Improvement and National Center of Plant Gene Research, Huazhong Agricultural University, Wuhan 430070, China
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Schweizer P, Stein N. Large-scale data integration reveals colocalization of gene functional groups with meta-QTL for multiple disease resistance in barley. MOLECULAR PLANT-MICROBE INTERACTIONS : MPMI 2011; 24:1492-501. [PMID: 21770767 DOI: 10.1094/mpmi-05-11-0107] [Citation(s) in RCA: 19] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 05/03/2023]
Abstract
Race-nonspecific and durable resistance of plant genotypes to major pathogens is highly relevant for yield stability and sustainable crop production but difficult to handle in practice due to its polygenic inheritance by quantitative trait loci (QTL). As far as the underlying genes are concerned, very little is currently known in the most important crop plants such as the cereals. Here, we integrated publicly available data for barley (Hordeum vulgare subsp. vulgare) in order to detect the most important genomic regions for QTL-mediated resistance to a number of fungal pathogens and localize specific functional groups of genes within these regions. This identified 20 meta-QTL, including eight hot spots for resistance to multiple diseases that were distributed over all chromosomes. At least one meta-QTL region for resistance to the powdery mildew fungus Blumeria graminis was found to be co-linear between barley and wheat, suggesting partial evolutionary conservation. Large-scale genetic mapping revealed that functional groups of barley genes involved in secretory processes and cell-wall reinforcement were significantly over-represented within QTL for resistance to powdery mildew. Overall, the results demonstrate added value resulting from large-scale genetic and genomic data integration and may inform genomic-selection procedures for race-nonspecific and durable disease resistance in barley.
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Affiliation(s)
- Patrick Schweizer
- Leibniz-Institut fur Pflanzengenetik und Kulturpflanzenforschung, Germany.
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Hwang SH, Yie SW, Hwang DJ. Heterologous expression of OsWRKY6 gene in Arabidopsis activates the expression of defense related genes and enhances resistance to pathogens. PLANT SCIENCE : AN INTERNATIONAL JOURNAL OF EXPERIMENTAL PLANT BIOLOGY 2011; 181:316-23. [PMID: 21763543 DOI: 10.1016/j.plantsci.2011.06.007] [Citation(s) in RCA: 14] [Impact Index Per Article: 1.1] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 02/22/2011] [Revised: 06/07/2011] [Accepted: 06/07/2011] [Indexed: 05/05/2023]
Abstract
The WRKY proteins are a major family of plant transcription factors implicated in the regulation of plant defense mechanisms against pathogens. OsWRKY6 was isolated based on expression profiling data carried out with samples infected by Xanthomonas oryzae pv. oryzae (Xoo). OsWRKY6 encodes a DNA binding protein that contains one WRKY domain, a nuclear localization signal and C(2)H(2)-type zinc finger motif. OsWRKY6 is a member of the group II family of WRKY proteins. Based on the result of yeast one hybrid assay this OsWRKY6 protein binds to the typical W box ((T)TGACC/T). OsWRKY6 functions as a transcriptional activator in yeast. OsWRKY6 enhanced the expression of the reporter gene downstream of OsPR1 promoter, indicating that OsWRKY6 is a transcriptional activator in rice as well. Heterologous expression of OsWRKY6 enhanced disease resistance to pathogen. Defense-related genes were constitutively expressed in Arabidopsis transgenic lines overexpressing OsWRKY6. All together, OsWRKY6 functions as a positive transcriptional regulator of the plant defense response.
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Affiliation(s)
- Seon-Hee Hwang
- National Academy of Agricultural Science, Rural Development Administration, Suwon 440-707, Republic of Korea.
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Pelgas B, Bousquet J, Meirmans PG, Ritland K, Isabel N. QTL mapping in white spruce: gene maps and genomic regions underlying adaptive traits across pedigrees, years and environments. BMC Genomics 2011; 12:145. [PMID: 21392393 PMCID: PMC3068112 DOI: 10.1186/1471-2164-12-145] [Citation(s) in RCA: 74] [Impact Index Per Article: 5.7] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/19/2010] [Accepted: 03/10/2011] [Indexed: 12/11/2022] Open
Abstract
BACKGROUND The genomic architecture of bud phenology and height growth remains poorly known in most forest trees. In non model species, QTL studies have shown limited application because most often QTL data could not be validated from one experiment to another. The aim of our study was to overcome this limitation by basing QTL detection on the construction of genetic maps highly-enriched in gene markers, and by assessing QTLs across pedigrees, years, and environments. RESULTS Four saturated individual linkage maps representing two unrelated mapping populations of 260 and 500 clonally replicated progeny were assembled from 471 to 570 markers, including from 283 to 451 gene SNPs obtained using a multiplexed genotyping assay. Thence, a composite linkage map was assembled with 836 gene markers.For individual linkage maps, a total of 33 distinct quantitative trait loci (QTLs) were observed for bud flush, 52 for bud set, and 52 for height growth. For the composite map, the corresponding numbers of QTL clusters were 11, 13, and 10. About 20% of QTLs were replicated between the two mapping populations and nearly 50% revealed spatial and/or temporal stability. Three to four occurrences of overlapping QTLs between characters were noted, indicating regions with potential pleiotropic effects. Moreover, some of the genes involved in the QTLs were also underlined by recent genome scans or expression profile studies.Overall, the proportion of phenotypic variance explained by each QTL ranged from 3.0 to 16.4% for bud flush, from 2.7 to 22.2% for bud set, and from 2.5 to 10.5% for height growth. Up to 70% of the total character variance could be accounted for by QTLs for bud flush or bud set, and up to 59% for height growth. CONCLUSIONS This study provides a basic understanding of the genomic architecture related to bud flush, bud set, and height growth in a conifer species, and a useful indicator to compare with Angiosperms. It will serve as a basic reference to functional and association genetic studies of adaptation and growth in Picea taxa. The putative QTNs identified will be tested for associations in natural populations, with potential applications in molecular breeding and gene conservation programs. QTLs mapping consistently across years and environments could also be the most important targets for breeding, because they represent genomic regions that may be least affected by G × E interactions.
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Affiliation(s)
- Betty Pelgas
- Natural Resources Canada, Canadian Forest Service, Laurentian Forestry Centre, Québec, Québec, G1V 4C7, Canada
- Arborea and Canada Research Chair in Forest and Environmental Genomics, Forest Research Centre and Institute for Systems and Integrative Biology, Université Laval, Québec, Québec, G1V OA6, Canada
| | - Jean Bousquet
- Arborea and Canada Research Chair in Forest and Environmental Genomics, Forest Research Centre and Institute for Systems and Integrative Biology, Université Laval, Québec, Québec, G1V OA6, Canada
| | - Patrick G Meirmans
- Natural Resources Canada, Canadian Forest Service, Laurentian Forestry Centre, Québec, Québec, G1V 4C7, Canada
- Current address: Institute of Biodiversity and Ecosystem Dynamics, Universiteit van Amsterdam, PO Box 94248, 1090GE Amsterdam, The Netherlands
| | - Kermit Ritland
- Department of Forest Science, Faculty of Forestry, The University of British Columbia, 2424 Main Mall, Vancouver, BC, V6T 1Z4, Canada
| | - Nathalie Isabel
- Natural Resources Canada, Canadian Forest Service, Laurentian Forestry Centre, Québec, Québec, G1V 4C7, Canada
- Arborea and Canada Research Chair in Forest and Environmental Genomics, Forest Research Centre and Institute for Systems and Integrative Biology, Université Laval, Québec, Québec, G1V OA6, Canada
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Shen X, Liu H, Yuan B, Li X, Xu C, Wang S. OsEDR1 negatively regulates rice bacterial resistance via activation of ethylene biosynthesis. PLANT, CELL & ENVIRONMENT 2011; 34:179-91. [PMID: 20807375 DOI: 10.1111/j.1365-3040.2010.02219.x] [Citation(s) in RCA: 75] [Impact Index Per Article: 5.8] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 05/08/2023]
Abstract
Rice OsEDR1 is a sequence ortholog of Arabidopsis EDR1. However, its molecular function is unknown. We show here that OsEDR1-suppressing/knockout (KO) plants, which developed spontaneous lesions on the leaves, have enhanced resistance to Xanthomonas oryzae pv. oryzae (Xoo) causing bacterial blight disease. This resistance was associated with increased accumulation of salicylic acid (SA) and jasmonic acid (JA), induced expression of SA- and JA-related genes and suppressed accumulation of 1-aminocyclopropane-1-carboxylic acid (ACC), the direct precursor of ethylene, and expression of ethylene-related genes. OsEDR1-KO plants also showed suppressed production of ethylene. Knockout of OsEDR1 suppressed the ACC synthase (ACS) gene family, which encodes the rate-limiting enzymes of ethylene biosynthesis by catalysing the formation of ACC. The lesion phenotype and enhanced bacterial resistance of the OsEDR1-KO plants was partly complemented by the treatment with ACC. ACC treatment was associated with decreased SA and JA biosynthesis in OsEDR1-KO plants. In contrast, aminoethoxyvinylglycine, the inhibitor of ethylene biosynthesis, promoted expression of SA and JA synthesis-related genes in OsEDR1-KO plants. These results suggest that ethylene is a negative signalling molecule in rice bacterial resistance. In the rice-Xoo interaction, OsEDR1 transcriptionally promotes the synthesis of ethylene that, in turn, suppresses SA- and JA-associated defence signalling.
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Affiliation(s)
- Xiangling Shen
- National Key Laboratory of Crop Genetic Improvement, National Center of Plant Gene Research (Wuhan), Huazhong Agricultural University, Wuhan 430070, China
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Fu J, Liu H, Li Y, Yu H, Li X, Xiao J, Wang S. Manipulating broad-spectrum disease resistance by suppressing pathogen-induced auxin accumulation in rice. PLANT PHYSIOLOGY 2011; 155:589-602. [PMID: 21071600 PMCID: PMC3075746 DOI: 10.1104/pp.110.163774] [Citation(s) in RCA: 162] [Impact Index Per Article: 12.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 07/31/2010] [Accepted: 11/10/2010] [Indexed: 05/18/2023]
Abstract
Breeding crops with the quality of broad-spectrum disease resistance using genetic resources is one of the principal goals of crop improvement. However, the molecular mechanism of broad-spectrum resistance remains largely unknown. Here, we show that GH3-2, encoding an indole-3-acetic acid (IAA)-amido synthetase, mediates a broad-spectrum resistance to bacterial Xanthomonas oryzae pv oryzae and Xanthomonas oryzae pv oryzicola and fungal Magnaporthe grisea in rice (Oryza sativa). IAA, the major form of auxin in rice, results in rice more vulnerable to the invasion of different types of pathogens, which is at least partly due to IAA-induced loosening of the cell wall, the natural protective barrier of plant cells to invaders. X. oryzae pv oryzae, X. oryzae pv oryzicola, and M. grisea secrete IAA, which, in turn, may induce rice to synthesize its own IAA at the infection site. IAA induces the production of expansins, the cell wall-loosening proteins, and makes rice vulnerable to pathogens. GH3-2 is likely contributing to a minor quantitative trait locus for broad-spectrum resistance. Activation of GH3-2 inactivates IAA by catalyzing the formation of an IAA-amino acid conjugate, which results in the suppression of expansin genes. Thus, GH3-2 mediates basal resistance by suppressing pathogen-induced IAA accumulation. It is expected that, regulated by a pathogen-induced strong promoter, GH3-2 alone may be used for breeding rice with a broad-spectrum disease resistance.
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Identification of genes contributing to quantitative disease resistance in rice. SCIENCE CHINA-LIFE SCIENCES 2010; 53:1263-73. [PMID: 21046317 DOI: 10.1007/s11427-010-4081-6] [Citation(s) in RCA: 12] [Impact Index Per Article: 0.9] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Received: 07/28/2010] [Accepted: 08/25/2010] [Indexed: 10/18/2022]
Abstract
Despite the importance of quantitative disease resistance during a plant's life, little is known about the molecular basis of this type of host-pathogen interaction, because most of the genes underlying resistance quantitative trait loci (QTLs) are unknown. To identify genes contributing to resistance QTLs in rice, we analyzed the colocalization of a set of characterized rice defense-responsive genes and resistance QTLs against different pathogens. We also examined the expression patterns of these genes in response to pathogen infection in the parents of the mapping populations, based on the strategy of validation and functional analysis of the QTLs. The results suggest that defense-responsive genes are important resources of resistance QTLs in rice. OsWRKY45-1 is the gene contributing to a major resistance QTL. NRR, OsGH3-1, and OsGLP members on chromosome 8 contribute alone or collectively to different minor resistance QTLs. These genes function in a basal resistance pathway or in major disease resistance gene-mediated race-specific pathways.
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Wang J, Yu H, Xie W, Xing Y, Yu S, Xu C, Li X, Xiao J, Zhang Q. A global analysis of QTLs for expression variations in rice shoots at the early seedling stage. THE PLANT JOURNAL : FOR CELL AND MOLECULAR BIOLOGY 2010; 63:1063-74. [PMID: 20626655 DOI: 10.1111/j.1365-313x.2010.04303.x] [Citation(s) in RCA: 46] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 05/08/2023]
Abstract
Analyses of quantitative trait loci (QTLs) for expression levels (eQTLs) of genes reveal a genetic relationship between expression variation and the regulator, thus unlocking information for identifying the regulatory network. Oligo-nucleotide expression microarrays hybridized with RNA can simultaneously provide data for molecular markers and transcript abundance. In this study, we used an Affymetrix GeneChip Rice Genome Array to analyze eQTLs in rice shoots at 72 h after germination from 110 recombinant inbred lines (RILs) derived from a cross between Zhenshan 97 and Minghui 63. In total, 1632 single-feature polymorphisms (SFPs) plus 23 PCR markers were identified and placed into 601 recombinant bins, spanning 1459 cM in length, which were used as markers to genotype the RILs. We obtained 16,372 expression traits (e-traits) each with at least one eQTL, resulting in 26,051 eQTLs in total, including both cis- and trans-eQTLs. We also identified 171 eQTL hot spots in the rice genome, each of which controls transcript variations of many e-traits. Gene ontology analysis revealed an enrichment of certain functional categories of genes in some of the eQTL hot spots. In particular, eQTLs for e-traits involving the DNA metabolic process was significantly enriched in several eQTL hot spots on chromosomes 3, 5 and 10. Several e-traits co-localizing with cis-eQTLs showed significant correlations with hundreds of e-traits, indicating possible co-regulation. We also detected correlations between QTLs for shoot dry weight and eQTLs, revealing possible candidate genes for the trait. These results provided clues for the identification and characterization of the regulatory network in the whole genome at the transcriptional level.
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Affiliation(s)
- Jia Wang
- National Key Laboratory of Crop Genetic Improvement, National Center of Plant Gene Research, Huazhong Agricultural University, Wuhan 430070, China
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Breen J, Bellgard M. Germin-like proteins (GLPs) in cereal genomes: gene clustering and dynamic roles in plant defence. Funct Integr Genomics 2010; 10:463-76. [PMID: 20683632 DOI: 10.1007/s10142-010-0184-1] [Citation(s) in RCA: 48] [Impact Index Per Article: 3.4] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/03/2010] [Revised: 07/07/2010] [Accepted: 07/12/2010] [Indexed: 11/29/2022]
Abstract
The recent release of the genome sequences of a number of crop and model plant species has made it possible to define the genome organisation and functional characteristics of specific genes and gene families of agronomic importance. For instance, Sorghum bicolor, maize (Zea mays) and Brachypodium distachyon genome sequences along with the model grass species rice (Oryza sativa) enable the comparative analysis of genes involved in plant defence. Germin-like proteins (GLPs) are a small, functionally and taxonomically diverse class of cupin-domain containing proteins that have recently been shown to cluster in an area of rice chromosome 8. The genomic location of this gene cluster overlaps with a disease resistance QTL that provides defence against two rice fungal pathogens (Magnaporthe oryzae and Rhizoctonia solani). Studies showing the involvement of GLPs in basal host resistance against powdery mildew (Blumeria graminis ssp.) have also been reported in barley and wheat. In this mini-review, we compare the close proximity of GLPs in publicly available cereal crop genomes and discuss the contribution that these proteins, and their genome sequence organisation, play in plant defence.
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Affiliation(s)
- James Breen
- Institute for Plant Biology, University of Zurich, Zollikerstrasse 107, 8008 Zurich, Switzerland.
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Li Q, Li L, Yang X, Warburton ML, Bai G, Dai J, Li J, Yan J. Relationship, evolutionary fate and function of two maize co-orthologs of rice GW2 associated with kernel size and weight. BMC PLANT BIOLOGY 2010; 10:143. [PMID: 20626916 PMCID: PMC3017803 DOI: 10.1186/1471-2229-10-143] [Citation(s) in RCA: 124] [Impact Index Per Article: 8.9] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 01/31/2010] [Accepted: 07/14/2010] [Indexed: 05/18/2023]
Abstract
BACKGROUND In rice, the GW2 gene, found on chromosome 2, controls grain width and weight. Two homologs of this gene, ZmGW2-CHR4 and ZmGW2-CHR5, have been found in maize. In this study, we investigated the relationship, evolutionary fate and putative function of these two maize genes. RESULTS The two genes are located on duplicated maize chromosomal regions that show co-orthologous relationships with the rice region containing GW2. ZmGW2-CHR5 is more closely related to the sorghum counterpart than to ZmGW2-CHR4. Sequence comparisons between the two genes in eight diverse maize inbred lines revealed that the functional protein domain of both genes is completely conserved, with no non-synonymous polymorphisms identified. This suggests that both genes may have conserved functions, a hypothesis that was further confirmed through linkage, association, and expression analyses. Linkage analysis showed that ZmGW2-CHR4 is located within a consistent quantitative trait locus (QTL) for one-hundred kernel weight (HKW). Association analysis with a diverse panel of 121 maize inbred lines identified one single nucleotide polymorphism (SNP) in the promoter region of ZmGW2-CHR4 that was significantly associated with kernel width (KW) and HKW across all three field experiments examined in this study. SNPs or insertion/deletion polymorphisms (InDels) in other regions of ZmGW2-CHR4 and ZmGW2-CHR5 were also found to be significantly associated with at least one of the four yield-related traits (kernel length (KL), kernel thickness (KT), KW and HKW). None of the polymorphisms in either maize gene are similar to each other or to the 1 bp InDel causing phenotypic variation in rice. Expression levels of both maize genes vary over ear and kernel developmental stages, and the expression level of ZmGW2-CHR4 is significantly negatively correlated with KW. CONCLUSIONS The sequence, linkage, association and expression analyses collectively showed that the two maize genes represent chromosomal duplicates, both of which function to control some of the phenotypic variation for kernel size and weight in maize, as does their counterpart in rice. However, the different polymorphisms identified in the two maize genes and in the rice gene indicate that they may cause phenotypic variation through different mechanisms.
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Affiliation(s)
- Qing Li
- National Maize Improvement Center of China, Key Laboratory of Crop Genomics and Genetic Improvement (Ministry of Agriculture), China Agricultural University, 100193 Beijing, China
| | - Lin Li
- National Maize Improvement Center of China, Key Laboratory of Crop Genomics and Genetic Improvement (Ministry of Agriculture), China Agricultural University, 100193 Beijing, China
| | - Xiaohong Yang
- National Maize Improvement Center of China, Key Laboratory of Crop Genomics and Genetic Improvement (Ministry of Agriculture), China Agricultural University, 100193 Beijing, China
| | - Marilyn L Warburton
- USDA-ARS Corn Host Plant Resistance Research Unit Box 9555 Mississippi State, MS 39762
| | - Guanghong Bai
- National Maize Improvement Center of China, Key Laboratory of Crop Genomics and Genetic Improvement (Ministry of Agriculture), China Agricultural University, 100193 Beijing, China
- College of Agriculture, Xinjiang Agricultural University, Urumqi, 830052 Xinjiang, China
| | - Jingrui Dai
- National Maize Improvement Center of China, Key Laboratory of Crop Genomics and Genetic Improvement (Ministry of Agriculture), China Agricultural University, 100193 Beijing, China
| | - Jiansheng Li
- National Maize Improvement Center of China, Key Laboratory of Crop Genomics and Genetic Improvement (Ministry of Agriculture), China Agricultural University, 100193 Beijing, China
| | - Jianbing Yan
- National Maize Improvement Center of China, Key Laboratory of Crop Genomics and Genetic Improvement (Ministry of Agriculture), China Agricultural University, 100193 Beijing, China
- International Maize and Wheat Improvement Center (CIMMYT), Apdo. Postal 6-641, 06600 Mexico, D.F., Mexico
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Kumar GR, Sakthivel K, Sundaram R, Neeraja C, Balachandran S, Rani NS, Viraktamath B, Madhav M. Allele mining in crops: Prospects and potentials. Biotechnol Adv 2010; 28:451-61. [DOI: 10.1016/j.biotechadv.2010.02.007] [Citation(s) in RCA: 88] [Impact Index Per Article: 6.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/02/2009] [Revised: 09/21/2009] [Accepted: 09/25/2009] [Indexed: 12/26/2022]
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Zhou Y, Cao Y, Huang Y, Xie W, Xu C, Li X, Wang S. Multiple gene loci affecting genetic background-controlled disease resistance conferred by R gene Xa3/Xa26 in rice. TAG. THEORETICAL AND APPLIED GENETICS. THEORETISCHE UND ANGEWANDTE GENETIK 2009; 120:127-138. [PMID: 19826775 DOI: 10.1007/s00122-009-1164-5] [Citation(s) in RCA: 9] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 12/16/2008] [Accepted: 09/27/2009] [Indexed: 05/28/2023]
Abstract
The function of bacterial-blight resistance gene Xa3/Xa26 in rice is influenced by genetic background; the Oryza sativa L. ssp. japonica background can increase Xa3/Xa26 expression, resulting in an enhanced resistance. To identify whether Xa3/Xa26 transcript level is the only factor contributing to genetic background-controlled resistance, we screened an F(2) population that was developed from a cross between Oryza sativa L. ssp. indica and japonica rice lines and was segregating for Xa3/Xa26, and compared the expression profiles of a pair of indica and japonica rice lines that both carried Xa3/Xa26. Eight quantitative trait loci (QTLs), in addition to Xa3/Xa26, were identified as contributing to the bacterial resistance of this population. Four of the eight QTLs were contributed to the japonica line. The resistance of this population was also affected by epistatic effects. Some F(2) individuals showed significantly increased Xa3/Xa26 transcripts, but the increased transcripts did not completely correlate with the reduced disease in this population. The analysis of the expression profile of Xa3/Xa26-mediated resistance using a microarray containing approximate 7,990 rice genes identified 44 differentially expressed genes. Thirty-five genes were rapidly activated in the japonica background, but not in the indica background, during disease resistance. These results suggest that multiple factors, including the one resulting in increased Xa3/Xa26 expression, may contribute to the enhanced resistance in the japonica background. These factors can cause a variation in gene expression profile that differs from that in the indica background during disease resistance.
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Affiliation(s)
- Yan Zhou
- National Key Laboratory of Crop Genetic Improvement, National Center of Plant Gene Research (Wuhan), Huazhong Agricultural University, 430070, Wuhan, China
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Tao Z, Liu H, Qiu D, Zhou Y, Li X, Xu C, Wang S. A pair of allelic WRKY genes play opposite roles in rice-bacteria interactions. PLANT PHYSIOLOGY 2009; 151:936-48. [PMID: 19700558 PMCID: PMC2754648 DOI: 10.1104/pp.109.145623] [Citation(s) in RCA: 186] [Impact Index Per Article: 12.4] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 07/31/2009] [Accepted: 08/18/2009] [Indexed: 05/17/2023]
Abstract
Although allelic diversity of genes has been reported to play important roles in different physiological processes, information on allelic diversity of defense-responsive genes in host-pathogen interactions is limited. Here, we report that a pair of allelic genes, OsWRKY45-1 and OsWRKY45-2, which encode proteins with a 10-amino acid difference, play opposite roles in rice (Oryza sativa) resistance against bacterial pathogens. Bacterial blight caused by Xanthomonas oryzae pv oryzae (Xoo), bacterial streak caused by Xanthomonas oryzae pv oryzicola (Xoc), and fungal blast caused by Magnaporthe grisea are devastating diseases of rice worldwide. OsWRKY45-1-overexpressing plants showed increased susceptibility and OsWRKY45-1-knockout plants showed enhanced resistance to Xoo and Xoc. In contrast, OsWRKY45-2-overexpressing plants showed enhanced resistance and OsWRKY45-2-suppressing plants showed increased susceptibility to Xoo and Xoc. Interestingly, both OsWRKY45-1- and OsWRKY45-2-overexpressing plants showed enhanced resistance to M. grisea. OsWRKY45-1-regulated Xoo resistance was accompanied by increased accumulation of salicylic acid and jasmonic acid and induced expression of a subset of defense-responsive genes, while OsWRKY45-2-regulated Xoo resistance was accompanied by increased accumulation of jasmonic acid but not salicylic acid and induced expression of another subset of defense-responsive genes. These results suggest that both OsWRKY45-1 and OsWRKY45-2 are positive regulators in rice resistance against M. grisea, but the former is a negative regulator and the latter is a positive regulator in rice resistance against Xoo and Xoc. The opposite roles of the two allelic genes in rice-Xoo interaction appear to be due to their mediation of different defense signaling pathways.
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Affiliation(s)
- Zeng Tao
- National Key Laboratory of Crop Genetic Improvement, National Center of Plant Gene Research (Wuhan), Huazhong Agricultural University, Wuhan 430070, China
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Le Clerc V, Pawelec A, Birolleau-Touchard C, Suel A, Briard M. Genetic architecture of factors underlying partial resistance to Alternaria leaf blight in carrot. TAG. THEORETICAL AND APPLIED GENETICS. THEORETISCHE UND ANGEWANDTE GENETIK 2009; 118:1251-1259. [PMID: 19214391 DOI: 10.1007/s00122-009-0978-5] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 06/02/2008] [Accepted: 01/22/2009] [Indexed: 05/27/2023]
Abstract
In most production areas, Alternaria leaf blight (ALB) is recognized as the most common and destructive foliage disease in carrot. To assess the genetic architecture of carrot ALB resistance, two parental coupling maps were developed with similar number of dominant markers (around 70), sizes (around 650 cM), densities (around 9.5 cM), and marker composition. The F(2:3) progenies were evaluated in field and tunnel for two scoring dates. The continuous distribution of the disease severity value indicated that ALB resistance is under polygenic control. Three QTLs regions were found on three linkage groups. Two of them were tunnel or field specific and were detected only at the second screening date suggesting that the expression of these two QTLs regions involved in resistance to Alternaria dauci might depend on environment and delay after infection.
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Affiliation(s)
- Valérie Le Clerc
- Agrocampus Ouest-Centre d'Angers, IFR QUASAV, UMR, Angers, France.
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46
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Zuo S, Zhang L, Wang H, Yin Y, Zhang Y, Chen Z, Ma Y, Pan X. Prospect of the QTL-qSB-9Tq utilized in molecular breeding program of japonica rice against sheath blight. J Genet Genomics 2009; 35:499-505. [PMID: 18721787 DOI: 10.1016/s1673-8527(08)60068-5] [Citation(s) in RCA: 39] [Impact Index Per Article: 2.6] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/20/2007] [Revised: 01/27/2008] [Accepted: 02/10/2008] [Indexed: 11/26/2022]
Abstract
The major QTL-qSB-9(Tq) conferring partial resistance to rice (Oryza sativa L.) sheath blight (Rhizoctonia solani Kühn) has been verified on chromosome 9 of the indica rice cultivar, Teqing. In this study, the prospect of this QTL utilized in molecular breeding program of japonica rice for sheath blight resistance was investigated. Most of the japonica rice cultivars showed lower level of sheath blight resistance than the indica rice cultivars. At the corresponding site of qSB-9(Tq), nine typical japonica rice cultivars from different ecological regions or countries proved to possess the susceptible allele(s). Introgression of qSB-9(Tq) into these cultivars enhanced their resistance level by decreasing sheath blight score of 1.0 (0.5-1.3), which indicated that qSB-9(Tq) had a large potential in strengthening the resistance of japonica rice to sheath blight. The use of the three molecular markers, which were polymorphic between Teqing and many japonica rice cultivars, promotes the application of qSB-9(Tq) in a concrete molecular breeding program.
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Affiliation(s)
- Shimin Zuo
- Key Laboratory of Crop Genetics and Physiology of Jiangsu Province, Yangzhou University, Yangzhou 225009, China
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47
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Hayashi K, Yoshida H. Refunctionalization of the ancient rice blast disease resistance gene Pit by the recruitment of a retrotransposon as a promoter. THE PLANT JOURNAL : FOR CELL AND MOLECULAR BIOLOGY 2009; 57:413-25. [PMID: 18808453 DOI: 10.1111/j.1365-313x.2008.03694.x] [Citation(s) in RCA: 127] [Impact Index Per Article: 8.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 05/03/2023]
Abstract
The plant genome contains a large number of disease resistance (R) genes that have evolved through diverse mechanisms. Here, we report that a long terminal repeat (LTR) retrotransposon contributed to the evolution of the rice blast resistance gene Pit. Pit confers race-specific resistance against the fungal pathogen Magnaporthe grisea, and is a member of the nucleotide-binding site leucine-rich repeat (NBS-LRR) family of R genes. Compared with the non-functional allele Pit(Npb), the functional allele Pit(K59) contains four amino acid substitutions, and has the LTR retrotransposon Renovator inserted upstream. Pathogenesis assays using chimeric constructs carrying the various regions of Pit(K59) and Pit(Npb) suggest that amino acid substitutions might have a potential effect in Pit resistance; more importantly, the upregulated promoter activity conferred by the Renovator sequence is essential for Pit function. Our data suggest that transposon-mediated transcriptional activation may play an important role in the refunctionalization of additional 'sleeping' R genes in the plant genome.
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Affiliation(s)
- Keiko Hayashi
- National Agricultural Research Center, National Agriculture and Food Research Organization, 1-2-1 Inada, Jo-etsu, Niigata 943 0193, Japan
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48
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Palloix A, Ayme V, Moury B. Durability of plant major resistance genes to pathogens depends on the genetic background, experimental evidence and consequences for breeding strategies. THE NEW PHYTOLOGIST 2009; 183:190-199. [PMID: 19344475 DOI: 10.1111/j.1469-8137.2009.02827.x] [Citation(s) in RCA: 53] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 05/03/2023]
Abstract
* The breakdown of plant resistance by pathogen populations is a limit to the genetic control of crop disease. Polygenic resistance is postulated as a durable alternative to defeated major resistance genes. Here, we tested this postulate in the pepper-Potato virus Y interaction. * The virus was selected for virulence towards monogenic and polygenic host resistance, using serial inoculations in laboratory and in natural epidemic conditions. The frequency of resistance breakdown and the genetic changes in the virus avirulence gene were analysed. * The monogenic resistance provided by the pvr2(3) gene was defeated at high frequency when introgressed in a susceptible genetic background whereas it was not when combined to partial resistance quantitative trait loci. The suppression of emergence of virulent mutants because of the genetic background resulted both from a differential selection effect and the necessity for the virus to generate multiple mutations. The virus adaptation to the polygenic resistance required a step-by-step selection with a primary selection for virulence towards the major gene, followed by selection for adaptation to the genetic background. * Polygenic resistance proved more durable than monogenic resistance, but breeding strategies giving priority to major resistance factors may jeopardize the progress in durability expected from polygenic resistance.
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Affiliation(s)
- A Palloix
- INRA Avignon, GAFL, UR1052, BP194, F-84143 Montfavet cedex, France
| | - V Ayme
- INRA Avignon, GAFL, UR1052, BP194, F-84143 Montfavet cedex, France
- INRA Avignon, Unité de pathologie Végétale, UR 407, BP94, F-84143 Montfavet cedex, France
| | - B Moury
- INRA Avignon, Unité de pathologie Végétale, UR 407, BP94, F-84143 Montfavet cedex, France
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49
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Manosalva PM, Davidson RM, Liu B, Zhu X, Hulbert SH, Leung H, Leach JE. A germin-like protein gene family functions as a complex quantitative trait locus conferring broad-spectrum disease resistance in rice. PLANT PHYSIOLOGY 2009; 149:286-96. [PMID: 19011003 PMCID: PMC2613727 DOI: 10.1104/pp.108.128348] [Citation(s) in RCA: 102] [Impact Index Per Article: 6.8] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 08/22/2008] [Accepted: 11/09/2008] [Indexed: 05/18/2023]
Abstract
Plant disease resistance governed by quantitative trait loci (QTL) is predicted to be effective against a broad spectrum of pathogens and long lasting. Use of these QTL to improve crop species, however, is hindered because the genes contributing to the trait are not known. Five disease resistance QTL that colocalized with defense response genes were accumulated by marker-aided selection to develop blast-resistant varieties. One advanced backcross line carrying the major-effect QTL on chromosome (chr) 8, which included a cluster of 12 germin-like protein (OsGLP) gene members, exhibited resistance to rice (Oryza sativa) blast disease over 14 cropping seasons. To determine if OsGLP members contribute to resistance and if the resistance was broad spectrum, a highly conserved portion of the OsGLP coding region was used as an RNA interference trigger to silence a few to all expressed chr 8 OsGLP family members. Challenge with two different fungal pathogens (causal agents of rice blast and sheath blight diseases) revealed that as more chr 8 OsGLP genes were suppressed, disease susceptibility of the plants increased. Of the 12 chr 8 OsGLPs, one clustered subfamily (OsGER4) contributed most to resistance. The similarities of sequence, gene organization, and roles in disease resistance of GLP family members in rice and other cereals, including barley (Hordeum vulgare) and wheat (Triticum aestivum), suggest that resistance contributed by the chr 8 OsGLP is a broad-spectrum, basal mechanism conserved among the Gramineae. Natural selection may have preserved a whole gene family to provide a stepwise, flexible defense response to pathogen invasion.
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Affiliation(s)
- Patricia M Manosalva
- Bioagricultural Sciences and Pest Management, Colorado State University, Fort Collins, Colorado 80523-1177, USA
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50
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Liu L, Cai R, Yuan X, He H, Pan J. QTL molecular marker location of powdery mildew resistance in cucumber (Cucumis sativus L.). ACTA ACUST UNITED AC 2008; 51:1003-8. [PMID: 18989643 DOI: 10.1007/s11427-008-0110-0] [Citation(s) in RCA: 8] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/11/2007] [Accepted: 07/10/2008] [Indexed: 11/29/2022]
Abstract
The cucumber lines, S94 (Northern China open-field type, powdery mildew (PM) susceptible) and S06 (European greenhouse type, PM resistant), and their F(6:7) populations were used to investigate PM resistance under seedling spray inoculation in 2005/Autumn and 2006/Spring. QTL analysis was undertaken based on a constructed molecular linkage map of the corresponding F(6) population using composite interval mapping. A total of four QTLs (pm1.1, pm2.1, pm4.1 and pm6.1) for PM resistance were identified and located on LG 1, 2, 4 and 6, respectively, explaining 5.2%-21.0% of the phenotypic variation. Three consistent QTLs (pm1.1, pm2.1 and pm4.1) were detected under the two test conditions. The QTL pm6.1 was only identified in 2005/Autumn. The total phenotypic variation explained by the QTLs was 52.0% and 42.0% in 2005/Autumn and 2006/Spring, respectively. Anchor markers tightly linked to those loci (<5 cM) could lay a basis for both molecular marker-assisted breeding and map-based gene cloning of the PM-resistance gene in cucumber.
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Affiliation(s)
- Longzhou Liu
- School of Agriculture and Biology, Shanghai Jiaotong University, Shanghai, 200240, China
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