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Li G, Xu Z, Wang J, Mu C, Zhou Z, Li M, Hao Z, Zhang D, Yong H, Han J, Li X, Zhao J, Weng J. Gene pyramiding of ZmGLK36 and ZmGDIα-hel for rough dwarf disease resistance in maize. MOLECULAR BREEDING : NEW STRATEGIES IN PLANT IMPROVEMENT 2024; 44:25. [PMID: 38516203 PMCID: PMC10951195 DOI: 10.1007/s11032-024-01466-9] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 12/13/2023] [Accepted: 03/14/2024] [Indexed: 03/23/2024]
Abstract
Maize rough dwarf disease (MRDD) caused by pathogenic viruses in the genus Fijivirus in the family Reoviridae is one of the most destructive diseases in maize. The pyramiding of effective resistance genes into maize varieties is a potential approach to reduce the damage resulting from the disease. Two major quantitative trait loci (QTLs) (qMrdd2 and qMrdd8) have been previously identified. The resistance genes ZmGLK36 and ZmGDIα-hel have also been cloned with the functional markers Indel-26 and IDP25K, respectively. In this study, ZmGLK36 and ZmGDIα-hel were introgressed to improve MRDD resistance of maize lines (Zheng58, Chang7-2, B73, Mo17, and their derived hybrids Zhengdan958 and B73 × Mo17) via marker-assisted selection (MAS). The converted lines and their derived hybrids, carrying one or two genes, were evaluated for MRDD resistance using artificial inoculation methods. The double-gene pyramiding lines and their derived hybrids exhibited increased resistance to MRDD compared to the monogenic lines and the respective hybrids. The genetic backgrounds of the converted lines were highly similar (90.85-98.58%) to the recurrent parents. In addition, agronomic trait evaluation demonstrated that pyramiding lines with one or two genes and their derived hybrids were not significantly different from the recurrent parents and their hybrids under nonpathogenic stress, including period traits (tasseling, pollen shedding, and silking), yield traits (ear length, grain weight per ear and 100-kernel weight) and quality traits (protein and starch content). There were differences in plant architecture traits between the improved lines and their hybrids. This study illustrated the successful development of gene pyramiding for improving MRDD resistance by advancing the breeding process. Supplementary Information The online version contains supplementary material available at 10.1007/s11032-024-01466-9.
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Affiliation(s)
- Gongjian Li
- Key Laboratory of Plant Molecular & Developmental Biology, College of Life Sciences, Yantai University, Yantai, 264000 Shandong China
- State Key Laboratory of Crop Gene Resources and Breeding, Institute of Crop Sciences, Chinese Academy of Agricultural Sciences, Beijing, 100081 China
| | - Zhennan Xu
- State Key Laboratory of Crop Gene Resources and Breeding, Institute of Crop Sciences, Chinese Academy of Agricultural Sciences, Beijing, 100081 China
| | - Jianjun Wang
- Corn Research Institute, Shanxi Agricultural University, Xinzhou, 030031 Shanxi China
| | - Chunhua Mu
- Shandong Academy of Agricultural Sciences, Jinan, 250000 Shandong China
| | - Zhiqiang Zhou
- State Key Laboratory of Crop Gene Resources and Breeding, Institute of Crop Sciences, Chinese Academy of Agricultural Sciences, Beijing, 100081 China
| | - Mingshun Li
- State Key Laboratory of Crop Gene Resources and Breeding, Institute of Crop Sciences, Chinese Academy of Agricultural Sciences, Beijing, 100081 China
| | - Zhuanfang Hao
- State Key Laboratory of Crop Gene Resources and Breeding, Institute of Crop Sciences, Chinese Academy of Agricultural Sciences, Beijing, 100081 China
| | - Degui Zhang
- State Key Laboratory of Crop Gene Resources and Breeding, Institute of Crop Sciences, Chinese Academy of Agricultural Sciences, Beijing, 100081 China
| | - Hongjun Yong
- State Key Laboratory of Crop Gene Resources and Breeding, Institute of Crop Sciences, Chinese Academy of Agricultural Sciences, Beijing, 100081 China
| | - Jienan Han
- State Key Laboratory of Crop Gene Resources and Breeding, Institute of Crop Sciences, Chinese Academy of Agricultural Sciences, Beijing, 100081 China
| | - Xinhai Li
- State Key Laboratory of Crop Gene Resources and Breeding, Institute of Crop Sciences, Chinese Academy of Agricultural Sciences, Beijing, 100081 China
| | - Jiqiang Zhao
- Key Laboratory of Plant Molecular & Developmental Biology, College of Life Sciences, Yantai University, Yantai, 264000 Shandong China
| | - Jianfeng Weng
- State Key Laboratory of Crop Gene Resources and Breeding, Institute of Crop Sciences, Chinese Academy of Agricultural Sciences, Beijing, 100081 China
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Xu Z, Zhou Z, Cheng Z, Zhou Y, Wang F, Li M, Li G, Li W, Du Q, Wang K, Lu X, Tai Y, Chen R, Hao Z, Han J, Chen Y, Meng Q, Kong X, Tie S, Mu C, Song W, Wang Z, Yong H, Zhang D, Wang H, Weng J, Li X. A transcription factor ZmGLK36 confers broad resistance to maize rough dwarf disease in cereal crops. NATURE PLANTS 2023; 9:1720-1733. [PMID: 37709955 DOI: 10.1038/s41477-023-01514-w] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 10/26/2022] [Accepted: 08/07/2023] [Indexed: 09/16/2023]
Abstract
Maize rough dwarf disease (MRDD), caused by maize rough dwarf virus (MRDV) or rice black-streaked dwarf virus (RBSDV), seriously threatens worldwide production of all major cereal crops, including maize, rice, wheat and barley. Here we report fine mapping and cloning of a previously reported major quantitative trait locus (QTL) (qMrdd2) for RBSDV resistance in maize. Subsequently, we show that qMrdd2 encodes a G2-like transcription factor named ZmGLK36 that promotes resistance to RBSDV by enhancing jasmonic acid (JA) biosynthesis and JA-mediated defence response. We identify a 26-bp indel located in the 5' UTR of ZmGLK36 that contributes to differential expression and resistance to RBSDV in maize inbred lines. Moreover, we show that ZmDBF2, an AP2/EREBP family transcription factor, directly binds to the 26-bp indel and represses ZmGLK36 expression. We further demonstrate that ZmGLK36 plays a conserved role in conferring resistance to RBSDV in rice and wheat using transgenic or marker-assisted breeding approaches. Our results provide insights into the molecular mechanisms of RBSDV resistance and effective strategies to breed RBSDV-resistant cereal crops.
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Affiliation(s)
- Zhennan Xu
- State Key Laboratory of Crop Gene Resources and Breeding, Institute of Crop Sciences, Chinese Academy of Agricultural Sciences, Beijing, China
| | - Zhiqiang Zhou
- State Key Laboratory of Crop Gene Resources and Breeding, Institute of Crop Sciences, Chinese Academy of Agricultural Sciences, Beijing, China
| | - Zixiang Cheng
- State Key Laboratory of Crop Gene Resources and Breeding, Institute of Crop Sciences, Chinese Academy of Agricultural Sciences, Beijing, China
| | - Yu Zhou
- Northeast Agricultural University, Harbin, China
| | - Feifei Wang
- State Key Laboratory of Crop Gene Resources and Breeding, Institute of Crop Sciences, Chinese Academy of Agricultural Sciences, Beijing, China
| | - Mingshun Li
- State Key Laboratory of Crop Gene Resources and Breeding, Institute of Crop Sciences, Chinese Academy of Agricultural Sciences, Beijing, China
| | - Gongjian Li
- State Key Laboratory of Crop Gene Resources and Breeding, Institute of Crop Sciences, Chinese Academy of Agricultural Sciences, Beijing, China
| | - Wenxue Li
- State Key Laboratory of Crop Gene Resources and Breeding, Institute of Crop Sciences, Chinese Academy of Agricultural Sciences, Beijing, China
| | - Qingguo Du
- State Key Laboratory of Crop Gene Resources and Breeding, Institute of Crop Sciences, Chinese Academy of Agricultural Sciences, Beijing, China
| | - Ke Wang
- State Key Laboratory of Crop Gene Resources and Breeding, Institute of Crop Sciences, Chinese Academy of Agricultural Sciences, Beijing, China
| | - Xin Lu
- State Key Laboratory of Crop Gene Resources and Breeding, Institute of Crop Sciences, Chinese Academy of Agricultural Sciences, Beijing, China
| | - Yuxin Tai
- State Key Laboratory of Crop Gene Resources and Breeding, Institute of Crop Sciences, Chinese Academy of Agricultural Sciences, Beijing, China
| | - Runyi Chen
- State Key Laboratory of Crop Gene Resources and Breeding, Institute of Crop Sciences, Chinese Academy of Agricultural Sciences, Beijing, China
| | - Zhuanfang Hao
- State Key Laboratory of Crop Gene Resources and Breeding, Institute of Crop Sciences, Chinese Academy of Agricultural Sciences, Beijing, China
| | - Jienan Han
- State Key Laboratory of Crop Gene Resources and Breeding, Institute of Crop Sciences, Chinese Academy of Agricultural Sciences, Beijing, China
| | - Yanping Chen
- Jiangsu Academy of Agricultural Sciences, Nanjing, China
| | - Qingchang Meng
- Jiangsu Academy of Agricultural Sciences, Nanjing, China
| | - Xiaomin Kong
- Jining Academy of Agricultural Sciences, Jining, China
| | - Shuanggui Tie
- Henan Academy of Agricultural Sciences, Zhengzhou, China
| | - Chunhua Mu
- Shandong Academy of Agricultural Sciences, Jinan, China
| | - Weibin Song
- China Agricultural University, Beijing, China
| | - Zhenhua Wang
- Northeast Agricultural University, Harbin, China
| | - Hongjun Yong
- State Key Laboratory of Crop Gene Resources and Breeding, Institute of Crop Sciences, Chinese Academy of Agricultural Sciences, Beijing, China
| | - Degui Zhang
- State Key Laboratory of Crop Gene Resources and Breeding, Institute of Crop Sciences, Chinese Academy of Agricultural Sciences, Beijing, China
| | - Haiyang Wang
- Guangdong Laboratory for Lingnan Modern Agriculture, State Key Laboratory for Conservation and Utilization of Subtropical Agro-Bioresources, South China Agricultural University, Guangzhou, China.
| | - Jianfeng Weng
- State Key Laboratory of Crop Gene Resources and Breeding, Institute of Crop Sciences, Chinese Academy of Agricultural Sciences, Beijing, China.
| | - Xinhai Li
- State Key Laboratory of Crop Gene Resources and Breeding, Institute of Crop Sciences, Chinese Academy of Agricultural Sciences, Beijing, China.
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Comparative Proteomic Analyses of Susceptible and Resistant Maize Inbred Lines at the Stage of Enations Forming following Infection by Rice Black-Streaked Dwarf Virus. Viruses 2022; 14:v14122604. [PMID: 36560608 PMCID: PMC9785138 DOI: 10.3390/v14122604] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/11/2022] [Revised: 11/18/2022] [Accepted: 11/21/2022] [Indexed: 11/24/2022] Open
Abstract
Rice black-streaked dwarf virus (RBSDV) is the main pathogen causing maize rough dwarf disease (MRDD) in China. Typical enation symptoms along the abaxial leaf veins prevail in RBSDV-infected maize inbred line B73 (susceptible to RBSDV), but not in X178 (resistant to RBSDV). Observation of the microstructures of epidermal cells and cross section of enations from RBSDV-infected maize leaves found that the increase of epidermal cell and phloem cell numbers is associated with enation formation. To identify proteins associated with enation formation and candidate proteins against RBSDV infection, comparative proteomics between B73 and X178 plants were conducted using isobaric tags for relative and absolute quantitation (iTRAQ) with leaf samples at the enation forming stage. The proteomics data showed that 260 and 316 differentially expressed proteins (DEPs) were identified in B73 and X178, respectively. We found that the majority of DEPs are located in the chloroplast and cytoplasm. Moreover, RBSDV infection resulted in dramatic changes of DEPs enriched by the metabolic process, response to stress and the biosynthetic process. Strikingly, a cell number regulator 10 was significantly down-regulated in RBSDV-infected B73 plants. Altogether, these data will provide value information for future studies to analyze molecular events during both enation formation and resistance mechanism to RBSDV infection.
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Xu Z, Wang F, Zhou Z, Meng Q, Chen Y, Han X, Tie S, Liu C, Hao Z, Li M, Zhang D, Han J, Wang Z, Li X, Weng J. Identification and Fine-Mapping of a Novel QTL, qMrdd2, That Confers Resistance to Maize Rough Dwarf Disease. PLANT DISEASE 2022; 106:65-72. [PMID: 34132596 DOI: 10.1094/pdis-03-20-0495-re] [Citation(s) in RCA: 6] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 05/18/2023]
Abstract
Maize rough dwarf disease (MRDD) is caused by a virus and seriously affects maize quality and yield worldwide. MRDD can be most effectively controlled with disease-resistant hybrids of corn. Here, MRDD-resistant (Qi319) and -susceptible (Ye478) parental inbred maize lines and their 314 recombinant inbred lines (RILs) that were derived from a cross between them were evaluated across three environments. A stable resistance QTL, qMrdd2, was identified and mapped using best linear unbiased prediction (BLUP) values to a 0.55-Mb region between the markers MK807 and MK811 on chromosome 2 (B73 RefGen_v3) and was found to explain 8.6 to 11.0% of the total phenotypic variance in MRDD resistance. We validated the effect of qMrdd2 using a chromosome segment substitution line (CSSL) that was derived from a cross between maize inbred Qi319 as the MRDD resistance donor and Ye478 as the recipient. Disease severity index of the CSSL haplotype II harboring qMrdd2 was significantly lower than that of the susceptible parent Ye478. Subsequently, we fine-mapped qMrdd2 to a 315-kb region flanked by the markers RD81 and RD87, thus testing recombinant-derived progeny using selfed backcrossed families. In this study, we identified a novel QTL for MRDD resistance by combining the RIL and CSSL populations, thus providing important genetic information that can be used for breeding MRDD-resistant varieties of maize.
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Affiliation(s)
- Zhennan Xu
- Institute of Crop Science, Chinese Academy of Agricultural Science, Haidian District, Beijing 100081, China
- Northeast Agricultural University, XiangFang District, Harbin, Heilongjiang 150030, China
| | - Feifei Wang
- Northeast Agricultural University, XiangFang District, Harbin, Heilongjiang 150030, China
| | - Zhiqiang Zhou
- Northeast Agricultural University, XiangFang District, Harbin, Heilongjiang 150030, China
| | - Qingchang Meng
- Institute of Plant Protection, Jiangsu Academy of Agricultural Sciences, Xuanwu District, Nanjing 210014, China
| | - Yanping Chen
- Institute of Plant Protection, Jiangsu Academy of Agricultural Sciences, Xuanwu District, Nanjing 210014, China
| | - Xiaohua Han
- The Cereal Crops Institute, Henan Academy of Agricultural Sciences, Jinshui District, Zhengzhou 450002, China
| | - Shuanggui Tie
- The Cereal Crops Institute, Henan Academy of Agricultural Sciences, Jinshui District, Zhengzhou 450002, China
| | - Changlin Liu
- Northeast Agricultural University, XiangFang District, Harbin, Heilongjiang 150030, China
| | - Zhuanfang Hao
- Northeast Agricultural University, XiangFang District, Harbin, Heilongjiang 150030, China
| | - Mingshun Li
- Northeast Agricultural University, XiangFang District, Harbin, Heilongjiang 150030, China
| | - Degui Zhang
- Northeast Agricultural University, XiangFang District, Harbin, Heilongjiang 150030, China
| | - Jienan Han
- Northeast Agricultural University, XiangFang District, Harbin, Heilongjiang 150030, China
| | - Zhenhua Wang
- Northeast Agricultural University, XiangFang District, Harbin, Heilongjiang 150030, China
| | - Xinhai Li
- Institute of Crop Science, Chinese Academy of Agricultural Science, Haidian District, Beijing 100081, China
| | - Jianfeng Weng
- Institute of Crop Science, Chinese Academy of Agricultural Science, Haidian District, Beijing 100081, China
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Zhang W, Deng S, Zhao Y, Xu W, Liu Q, Zhang Y, Ren C, Cheng Z, Xu M, Liu B. qMrdd2, a novel quantitative resistance locus for maize rough dwarf disease. BMC PLANT BIOLOGY 2021; 21:307. [PMID: 34193031 PMCID: PMC8244169 DOI: 10.1186/s12870-021-03107-1] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 03/14/2021] [Accepted: 06/16/2021] [Indexed: 06/13/2023]
Abstract
BACKGROUND Maize rough dwarf disease (MRDD), a widespread disease caused by four pathogenic viruses, severely reduces maize yield and grain quality. Resistance against MRDD is a complex trait that controlled by many quantitative trait loci (QTL) and easily influenced by environmental conditions. So far, many studies have reported numbers of resistant QTL, however, only one QTL have been cloned, so it is especially important to map and clone more genes that confer resistance to MRDD. RESULTS In the study, a major quantitative trait locus (QTL) qMrdd2, which confers resistance to MRDD, was identified and fine mapped. qMrdd2, located on chromosome 2, was consistently identified in a 15-Mb interval between the simple sequence repeat (SSR) markers D184 and D1600 by using a recombinant inbred line (RIL) population derived from a cross between resistant ("80007") and susceptible ("80044") inbred lines. Using a recombinant-derived progeny test strategy, qMrdd2 was delineated to an interval of 577 kb flanked by markers N31 and N42. We further demonstrated that qMrdd2 is an incompletely dominant resistance locus for MRDD that reduced the disease severity index by 20.4%. CONCLUSIONS A major resistance QTL (qMrdd2) have been identified and successfully refined into 577 kb region. This locus will be valuable for improving maize variety resistance to MRDD via marker-assisted selection (MAS).
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Affiliation(s)
- Weixiao Zhang
- State Key Laboratory of Crop Biology, Shandong Agricultural University, 61 Daizong Street, Taian, 271018, People's Republic of China
| | - Suining Deng
- National Maize Improvement Center, China Agricultural University, 2 West Yuanmingyuan Road, Beijing, 100193, People's Republic of China
| | - Yan Zhao
- State Key Laboratory of Crop Biology, Shandong Agricultural University, 61 Daizong Street, Taian, 271018, People's Republic of China
| | - Wei Xu
- State Key Laboratory of Crop Biology, Shandong Agricultural University, 61 Daizong Street, Taian, 271018, People's Republic of China
| | - Qingcai Liu
- National Maize Improvement Center, China Agricultural University, 2 West Yuanmingyuan Road, Beijing, 100193, People's Republic of China
| | - Yongzhong Zhang
- State Key Laboratory of Crop Biology, Shandong Agricultural University, 61 Daizong Street, Taian, 271018, People's Republic of China
| | - Chunmei Ren
- Institute of Plant Protection, Jiangsu Academy of Agricultural Sciences, Nanjing, 210014, People's Republic of China
| | - Zhaobang Cheng
- Institute of Plant Protection, Jiangsu Academy of Agricultural Sciences, Nanjing, 210014, People's Republic of China
| | - Mingliang Xu
- National Maize Improvement Center, China Agricultural University, 2 West Yuanmingyuan Road, Beijing, 100193, People's Republic of China
| | - Baoshen Liu
- State Key Laboratory of Crop Biology, Shandong Agricultural University, 61 Daizong Street, Taian, 271018, People's Republic of China.
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Zhang T, Liang Q, Li C, Fu S, Kundu JK, Zhou X, Wu J. Transcriptome Analysis of Rice Reveals the lncRNA-mRNA Regulatory Network in Response to Rice Black-Streaked Dwarf Virus Infection. Viruses 2020; 12:v12090951. [PMID: 32867233 PMCID: PMC7552052 DOI: 10.3390/v12090951] [Citation(s) in RCA: 16] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/29/2020] [Revised: 08/25/2020] [Accepted: 08/26/2020] [Indexed: 01/05/2023] Open
Abstract
The plant genome can produce long non-coding RNAs (lncRNAs), some of which have been identified as important regulators of gene expression. To better understand the response mechanism of rice plants to Rice black-streaked dwarf virus (RBSDV) infection, we performed a comparative transcriptome analysis between the RBSDV-infected and non-infected rice plants. A total of 1342 mRNAs and 22 lncRNAs were identified to be differentially expressed after RBSDV infection. Most differentially expressed transcripts involved in the plant–pathogen interaction pathway were upregulated after RBSDV infection, indicating the activation of rice defense response by RBSDV. A network of differentially expressed lncRNAs (DElncRNAs) and mRNAs (DEmRNAs) was then constructed. In this network, there are 56 plant–pathogen interaction-related DEmRNAs co-expressing with 20 DElncRNAs, suggesting these DElncRNAs and DEmRNAs may play essential roles in rice innate immunity against RBSDV. Moreover, some of the lncRNA–mRNA regulatory relationships were experimentally verified in rice calli by a quick and effective method established in this study. Three DElncRNAs were selected to be tested, and the results indicated that five mRNAs were found to be regulated by them. Together, we give a whole landscape of rice mRNAs and lncRNAs in response to RBSDV infection, and a feasible method to rapidly verify the lncRNA–mRNA regulatory relationship in rice.
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Affiliation(s)
- Tianze Zhang
- State Key Laboratory of Rice Biology, Institute of Biotechnology, Zhejiang University, Hangzhou 310058, China; (T.Z.); (C.L.); (S.F.)
| | - Qian Liang
- Key Laboratory of microorganism technology and bioinformatics research of Zhejiang Province, NMPA Key Laboratory for Testing and Risk Warning of Pharmaceutical Microbiology, Zhejiang TianKe High-Technology Development Co. Ltd., Hangzhou 310023, China;
| | - Chenyang Li
- State Key Laboratory of Rice Biology, Institute of Biotechnology, Zhejiang University, Hangzhou 310058, China; (T.Z.); (C.L.); (S.F.)
| | - Shuai Fu
- State Key Laboratory of Rice Biology, Institute of Biotechnology, Zhejiang University, Hangzhou 310058, China; (T.Z.); (C.L.); (S.F.)
| | | | - Xueping Zhou
- State Key Laboratory of Rice Biology, Institute of Biotechnology, Zhejiang University, Hangzhou 310058, China; (T.Z.); (C.L.); (S.F.)
- State Key Laboratory for Biology of Plant Diseases and Insect Pests, Institute of Plant Protection, Chinese Academy of Agricultural Sciences, Beijing 100193, China
- Correspondence: (X.Z.); (J.W.); Tel.: +86-571-88982250 (J.W.)
| | - Jianxiang Wu
- State Key Laboratory of Rice Biology, Institute of Biotechnology, Zhejiang University, Hangzhou 310058, China; (T.Z.); (C.L.); (S.F.)
- Correspondence: (X.Z.); (J.W.); Tel.: +86-571-88982250 (J.W.)
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Wu N, Zhang L, Ren Y, Wang X. Rice black-streaked dwarf virus: From multiparty interactions among plant-virus-vector to intermittent epidemics. MOLECULAR PLANT PATHOLOGY 2020; 21:1007-1019. [PMID: 32510844 PMCID: PMC7368121 DOI: 10.1111/mpp.12946] [Citation(s) in RCA: 26] [Impact Index Per Article: 6.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 04/08/2020] [Revised: 05/06/2020] [Accepted: 05/06/2020] [Indexed: 05/18/2023]
Abstract
UNLABELLED Rice black-streaked dwarf virus (RBSDV) (species Rice black-streaked dwarf virus, genus Fijivirus, family Reoviridae) is the causal agent of rice black-streaked dwarf and maize rough dwarf diseases, which occur in intermittent epidemics in East Asian countries and are responsible for considerable yield losses. Intermittency of epidemics make accurate forecasting and designing of effective management strategies difficult. However, recent insights into host-virus-vector insect interactions are now informing forecasting and disease control measures. Resistance genes are also being identified and mapped. SYMPTOMATOLOGY AND HOST RANGE RBSDV induces extreme stunting, darkened, and stiff leaves of crops and weeds only in the family Poaceae, including Oryza sativa, Zea mays, and Triticum aestivum. Infected plants produce totally or partially deformed panicles and remain alive through harvest. GENOME AND GENE FUNCTION The nonenveloped virus particles comprise a double-layered capsid, 50-nm core with genomic double-stranded RNA (dsRNA), and six proteins. The genome of RBSDV contains 10 segments of dsRNA, named S1 to S10 in decreasing order of molecular weight. Segments 1, 2, 3, 4, 6, 8, and 10 encode the RNA-dependent RNA polymerase (RdRp), the major core structural protein, a protein with guanylyltransferase activity, an outer-shell B-spike protein, viral RNA-silencing suppressor, the major capsid protein, and the outer capsid protein, respectively. Each of the segments 5, 7, and 9 encodes two proteins: P5-1, a component of viroplasms; P5-2 of unknown function; nonstructural protein P7-1, involved in forming the structural matrix of tubular structures in infected tissues; P7-2 of unknown function; P9-1, the main component of viroplasms in infected cells and involved in viral replication; and P9-2 of unknown function. TRANSMISSION AND EPIDEMIOLOGY RBSDV is transmitted by Laodelphax striatellus in a persistent propagative manner. The vector insect is the only means of virus spread in nature, so its migration and transmission efficiency are obligatory for disease epidemics to develop. Susceptible varieties are widely planted, but efficient transmission by vectors is the primary reason for the epidemics. Cultivation system, pesticide overuse, and climatic conditions also contribute to epidemics by affecting the development of the vector insects and their population dynamics. DISEASE MANAGEMENT In the absence of resistant varieties, integrated disease management aims at disrupting the cycle of virus transmission by the insect vector. Inheritance studies have indicated that resistance is mostly governed by quantitative trait loci or multiple genes. Genetic engineering through RNA-interference and gene-editing strategies are potential approaches for disease control.
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Affiliation(s)
- Nan Wu
- State Key Laboratory for Biology of Plant Diseases and Insect Pests, Institute of Plant ProtectionChinese Academy of Agricultural SciencesBeijingChina
| | - Lu Zhang
- State Key Laboratory for Biology of Plant Diseases and Insect Pests, Institute of Plant ProtectionChinese Academy of Agricultural SciencesBeijingChina
| | - Yingdang Ren
- Institute of Plant ProtectionHenan Academy of Agricultural SciencesZhengzhouChina
| | - Xifeng Wang
- State Key Laboratory for Biology of Plant Diseases and Insect Pests, Institute of Plant ProtectionChinese Academy of Agricultural SciencesBeijingChina
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Liu Q, Deng S, Liu B, Tao Y, Ai H, Liu J, Zhang Y, Zhao Y, Xu M. A helitron-induced RabGDIα variant causes quantitative recessive resistance to maize rough dwarf disease. Nat Commun 2020; 11:495. [PMID: 31980630 PMCID: PMC6981192 DOI: 10.1038/s41467-020-14372-3] [Citation(s) in RCA: 41] [Impact Index Per Article: 10.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/25/2018] [Accepted: 01/01/2020] [Indexed: 12/15/2022] Open
Abstract
Maize rough dwarf disease (MRDD), caused by various species of the genus Fijivirus, threatens maize production worldwide. We previously identified a quantitative locus qMrdd1 conferring recessive resistance to one causal species, rice black-streaked dwarf virus (RBSDV). Here, we show that Rab GDP dissociation inhibitor alpha (RabGDIα) is the host susceptibility factor for RBSDV. The viral P7-1 protein binds tightly to the exon-10 and C-terminal regions of RabGDIα to recruit it for viral infection. Insertion of a helitron transposon into RabGDIα intron 10 creates alternative splicing to replace the wild-type exon 10 with a helitron-derived exon 10. The resultant splicing variant RabGDIα-hel has difficulty being recruited by P7-1, thus leading to quantitative recessive resistance to MRDD. All naturally occurring resistance alleles may have arisen from a recent single helitron insertion event. These resistance alleles are valuable to improve maize resistance to MRDD and potentially to engineer RBSDV resistance in other crops. Maize rough dwarf disease threatens its production. Here, the authors show that a helitron transposon insertion in the Rab GDP dissociation inhibitor alpha leads to recessive viral resistance by affecting its interaction with viral P7-1 protein and that all naturally occurring alleles come from a single mutation event after domestication.
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Affiliation(s)
- Qingcai Liu
- State Key Laboratory of Plant Physiology and Biochemistry/College of Agronomy and Biotechnology/National Maize Improvement Center/Center for Crop Functional Genomics and Molecular Breeding, China Agricultural University, 2 West Yuanmingyuan Road, Beijing, 100193, P. R. China
| | - Suining Deng
- State Key Laboratory of Plant Physiology and Biochemistry/College of Agronomy and Biotechnology/National Maize Improvement Center/Center for Crop Functional Genomics and Molecular Breeding, China Agricultural University, 2 West Yuanmingyuan Road, Beijing, 100193, P. R. China
| | - Baoshen Liu
- College of Agronomy/State Key Laboratory of Crop Biology, Shandong Agricultural University, Taian, 271018, P. R. China
| | - Yongfu Tao
- State Key Laboratory of Plant Physiology and Biochemistry/College of Agronomy and Biotechnology/National Maize Improvement Center/Center for Crop Functional Genomics and Molecular Breeding, China Agricultural University, 2 West Yuanmingyuan Road, Beijing, 100193, P. R. China
| | - Haiyue Ai
- State Key Laboratory of Plant Physiology and Biochemistry/College of Agronomy and Biotechnology/National Maize Improvement Center/Center for Crop Functional Genomics and Molecular Breeding, China Agricultural University, 2 West Yuanmingyuan Road, Beijing, 100193, P. R. China
| | - Jianju Liu
- State Key Laboratory of Plant Physiology and Biochemistry/College of Agronomy and Biotechnology/National Maize Improvement Center/Center for Crop Functional Genomics and Molecular Breeding, China Agricultural University, 2 West Yuanmingyuan Road, Beijing, 100193, P. R. China
| | - Yongzhong Zhang
- College of Agronomy/State Key Laboratory of Crop Biology, Shandong Agricultural University, Taian, 271018, P. R. China
| | - Yan Zhao
- College of Agronomy/State Key Laboratory of Crop Biology, Shandong Agricultural University, Taian, 271018, P. R. China
| | - Mingliang Xu
- State Key Laboratory of Plant Physiology and Biochemistry/College of Agronomy and Biotechnology/National Maize Improvement Center/Center for Crop Functional Genomics and Molecular Breeding, China Agricultural University, 2 West Yuanmingyuan Road, Beijing, 100193, P. R. China.
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9
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Wang X, Yang Q, Dai Z, Wang Y, Zhang Y, Li B, Zhao W, Hao J. Identification of QTLs for resistance to maize rough dwarf disease using two connected RIL populations in maize. PLoS One 2019; 14:e0226700. [PMID: 31846488 PMCID: PMC6917286 DOI: 10.1371/journal.pone.0226700] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/23/2019] [Accepted: 12/03/2019] [Indexed: 11/19/2022] Open
Abstract
Maize rough dwarf disease (MRDD) is a significant viral disease caused by rice black-streaked dwarf virus (RBSDV) in China, which results in 30% yield losses in affected summer maize-growing areas. In this study, two connected recombinant inbred line (RIL) populations were constructed to elucidate the genetic basis of resistance during two crop seasons. Ten quantitative trait loci (QTLs) for resistance to MRDD were detected in the two RILs. Individual QTLs accounted for 4.97-23.37% of the phenotypic variance explained (PVE). The resistance QTL (qZD-MRDD8-1) with the largest effect was located in chromosome bin 8.03, representing 16.27-23.37% of the PVE across two environments. Interestingly, one pair of common significant QTLs was located in the similar region on chromosome 4 in both populations, accounting for 7.11-9.01% of the PVE in Zheng58×D863F (RIL-ZD) and 9.43-13.06% in Zheng58×ZS301 (RIL-ZZ). A total of five QTLs for MRDD resistance trait showed significant QTL-by-Environment interactions (QEI). Two candidate genes associated with resistance (GDSL-lipase and RPP13-like gene) which were higher expressed in resistant inbred line D863F than in susceptible inbred line Zheng58, were located in the physical intervals of the major QTLs on chromosomes 4 and 8, respectively. The identified QTLs will be studied further for application in marker-assisted breeding in maize genetic improvement of MRDD resistance.
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Affiliation(s)
- Xintao Wang
- Crop Designing Center, Henan Academy of Agricultural Sciences, Zhengzhou, China
| | - Qing Yang
- Crop Designing Center, Henan Academy of Agricultural Sciences, Zhengzhou, China
| | - Ziju Dai
- Crop Designing Center, Henan Academy of Agricultural Sciences, Zhengzhou, China
| | - Yan Wang
- Crop Designing Center, Henan Academy of Agricultural Sciences, Zhengzhou, China
| | - Yingying Zhang
- Crop Designing Center, Henan Academy of Agricultural Sciences, Zhengzhou, China
| | - Baoquan Li
- Crop Designing Center, Henan Academy of Agricultural Sciences, Zhengzhou, China
| | - Wenming Zhao
- Institute of Food Crops, Jiangsu Academy of Agricultural Sciences, Nanjing, China
| | - Junjie Hao
- Plant Protection Institute, Henan Academy of Agricultural Sciences, Zhengzhou, China
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10
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Chen S, Li W, Huang X, Chen B, Zhang T, Zhou G. Symptoms and yield loss caused by rice stripe mosaic virus. Virol J 2019; 16:145. [PMID: 31771593 PMCID: PMC6880357 DOI: 10.1186/s12985-019-1240-7] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/19/2019] [Accepted: 10/10/2019] [Indexed: 11/23/2022] Open
Abstract
Background Rice stripe mosaic virus (RSMV) is a tentative new Cytorhabdovirus species in family Rhabdoviridae transmitted by the leafhopper Recilia dorsalis. Although the virus was first detected in southern China in 2015, few studies have investigated rice symptoms and yield losses caused by RSMV infection. Methods In this study, we observed and systematically compared symptoms of three virally infected, representative varieties of indica, hybrid and japonica rice and determined the yield parameters of the artificially inoculated plants. Results The three RSMV-infected cultivated rice varieties exhibited slight dwarfing, striped mosaicism, stiff, crinkled or even twisted leaves, an increased number of tillers, delayed heading, cluster-shaped shortening of panicles and mostly unfilled grains. Slight differences in symptom occurrence time were observed under different environmental conditions. For example, mosaic symptoms appeared earlier and crinkling symptoms appeared later, with both symptoms later receding in some infected plants. Yield losses due to RSMV also differed among varieties. The most serious yield reduction was experienced by indica rice (cv. Meixiangzhan), followed by hybrid indica rice (cv. Wuyou 1179) and then japonica (cv. Nipponbare). Single panicle weight, seed setting rate and 1000-kernel weight were reduced in the three infected varieties compared with healthy plants—by 85.42, 94.85 and 31.56% in Meixiangzhan; 52.43, 53.06 and 25.65% in Wuyou 1179 and 25.53, 49.32 and 23.86% in Nipponbare, respectively. Conclusions Our findings contribute basic data for field investigations, formulation of prevention and control strategies and further study of the pathogenesis of RSMV.
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Affiliation(s)
- Siping Chen
- Key Laboratory of Microbial Signals and Disease Control of Guangdong Province, College of Agriculture, South China Agricultural University, Guangzhou, 510642, Guangdong, China
| | - Weilin Li
- Key Laboratory of Microbial Signals and Disease Control of Guangdong Province, College of Agriculture, South China Agricultural University, Guangzhou, 510642, Guangdong, China
| | - Xiuqin Huang
- Key Laboratory of Microbial Signals and Disease Control of Guangdong Province, College of Agriculture, South China Agricultural University, Guangzhou, 510642, Guangdong, China
| | - Biao Chen
- Key Laboratory of Microbial Signals and Disease Control of Guangdong Province, College of Agriculture, South China Agricultural University, Guangzhou, 510642, Guangdong, China
| | - Tong Zhang
- Key Laboratory of Microbial Signals and Disease Control of Guangdong Province, College of Agriculture, South China Agricultural University, Guangzhou, 510642, Guangdong, China
| | - Guohui Zhou
- Key Laboratory of Microbial Signals and Disease Control of Guangdong Province, College of Agriculture, South China Agricultural University, Guangzhou, 510642, Guangdong, China.
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11
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Xiaohua H, Tingmu C, Runqing Y, Shulei G, Mengmeng X, Caixia L, Yanping F, Nana C, Lu L, Xiaolei F, Haifeng C, Xinhai G, Yan X, Shuanggui T. A Rice Black-Streaked Dwarf Virus Replication Curve Model to Evaluate Maize Rough Dwarf Disease Resistance. PLANT DISEASE 2019; 103:868-873. [PMID: 30856075 DOI: 10.1094/pdis-09-18-1532-re] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/09/2023]
Abstract
Resistance to maize rough dwarf disease (MRDD), a major cause of crop losses, depends on external conditions such as the virus transmission period and the rate of viruliferous small brown planthoppers, Laodelphax striatellus. The precise identification of MRDD contributes to the utilization of resistant germplasm and the cloning of resistant genes. In this study, eight maize varieties were artificially inoculated in a greenhouse with viruliferous planthoppers. The viral titers in maize seedlings were detected by quantitative fluorescence RT-PCR, and the viral replication curves were analyzed by regression. A logistic model fit the Rice black-streaked dwarf virus (RBSDV) replication data for five susceptible varieties well, whereas a linear model fit the data for three resistant varieties. Among the five susceptible varieties, the time points with the maximum replication rates (tIP) of the highly susceptible Ye478 and XH6 were significantly earlier than those of the three susceptible varieties, Mo17, Zheng58, and Zhengdan958. P138, the most highly resistant variety, had the lowest slope of the best fit line, followed by moderately resistant Chang7-2 and Dan 340. The RBSDV replication curve model developed in this study can accurately identify the resistance of maize germplasm to MRDD at the molecular level. Our results also suggested that tIP and the slope of the RBSDV replication curve can be considered new criteria to evaluate maize resistance to MRDD.
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Affiliation(s)
- Han Xiaohua
- 1 The Cereal Crops Institute, Henan Academy of Agricultural Sciences/Henan Key Laboratory of Maize Biology, Zhengzhou, Henan Province 450002, China; and
| | - Chen Tingmu
- 2 Lianyungang Academy of Agricultural Sciences, Lianyungang, Jiangsu Province 222000, China
| | - Yue Runqing
- 1 The Cereal Crops Institute, Henan Academy of Agricultural Sciences/Henan Key Laboratory of Maize Biology, Zhengzhou, Henan Province 450002, China; and
| | - Guo Shulei
- 1 The Cereal Crops Institute, Henan Academy of Agricultural Sciences/Henan Key Laboratory of Maize Biology, Zhengzhou, Henan Province 450002, China; and
| | - Xu Mengmeng
- 1 The Cereal Crops Institute, Henan Academy of Agricultural Sciences/Henan Key Laboratory of Maize Biology, Zhengzhou, Henan Province 450002, China; and
| | - Lu Caixia
- 1 The Cereal Crops Institute, Henan Academy of Agricultural Sciences/Henan Key Laboratory of Maize Biology, Zhengzhou, Henan Province 450002, China; and
| | - Fan Yanping
- 1 The Cereal Crops Institute, Henan Academy of Agricultural Sciences/Henan Key Laboratory of Maize Biology, Zhengzhou, Henan Province 450002, China; and
| | - Chen Nana
- 1 The Cereal Crops Institute, Henan Academy of Agricultural Sciences/Henan Key Laboratory of Maize Biology, Zhengzhou, Henan Province 450002, China; and
| | - Liu Lu
- 1 The Cereal Crops Institute, Henan Academy of Agricultural Sciences/Henan Key Laboratory of Maize Biology, Zhengzhou, Henan Province 450002, China; and
| | - Fu Xiaolei
- 1 The Cereal Crops Institute, Henan Academy of Agricultural Sciences/Henan Key Laboratory of Maize Biology, Zhengzhou, Henan Province 450002, China; and
| | - Chi Haifeng
- 1 The Cereal Crops Institute, Henan Academy of Agricultural Sciences/Henan Key Laboratory of Maize Biology, Zhengzhou, Henan Province 450002, China; and
| | - Guo Xinhai
- 1 The Cereal Crops Institute, Henan Academy of Agricultural Sciences/Henan Key Laboratory of Maize Biology, Zhengzhou, Henan Province 450002, China; and
| | - Xia Yan
- 1 The Cereal Crops Institute, Henan Academy of Agricultural Sciences/Henan Key Laboratory of Maize Biology, Zhengzhou, Henan Province 450002, China; and
| | - Tie Shuanggui
- 1 The Cereal Crops Institute, Henan Academy of Agricultural Sciences/Henan Key Laboratory of Maize Biology, Zhengzhou, Henan Province 450002, China; and
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12
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Jones MW, Penning BW, Jamann TM, Glaubitz JC, Romay C, Buckler ES, Redinbaugh MG. Diverse Chromosomal Locations of Quantitative Trait Loci for Tolerance to Maize chlorotic mottle virus in Five Maize Populations. PHYTOPATHOLOGY 2018; 108:748-758. [PMID: 29287150 DOI: 10.1094/phyto-09-17-0321-r] [Citation(s) in RCA: 19] [Impact Index Per Article: 3.2] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 05/14/2023]
Abstract
The recent rapid emergence of maize lethal necrosis (MLN), caused by coinfection of maize with Maize chlorotic mottle virus (MCMV) and a second virus usually from the family Potyviridae, is causing extensive losses for farmers in East Africa, Southeast Asia, and South America. Although the genetic basis of resistance to potyviruses is well understood in maize, little was known about resistance to MCMV. The responses of five maize inbred lines (KS23-5, KS23-6, N211, DR, and Oh1VI) to inoculation with MCMV, Sugarcane mosaic virus, and MLN were characterized. All five lines developed fewer symptoms than susceptible controls after inoculation with MCMV; however, the virus was detected in systemic leaf tissue from each of the lines similarly to susceptible controls, indicating that the lines were tolerant of MCMV rather than resistant to it. Except for KS23-5, the inbred lines also developed fewer symptoms after inoculation with MLN than susceptible controls. To identify genetic loci associated with MCMV tolerance, large F2 or recombinant inbred populations were evaluated for their phenotypic responses to MCMV, and the most resistant and susceptible plants were genotyped by sequencing. One to four quantitative trait loci (QTL) were identified in each tolerant population using recombination frequency and positional mapping strategies. In contrast to previous studies of virus resistance in maize, the chromosomal positions and genetic character of the QTL were unique to each population. The results suggest that different, genotype-specific mechanisms are associated with MCMV tolerance in maize. These results will allow for the development of markers for marker-assisted selection of MCMV- and MLN-tolerant maize hybrids for disease control.
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Affiliation(s)
- Mark W Jones
- First, second, and seventh authors: United States Department of Agriculture-Agricultural Research Service (USDA-ARS) Corn, Soybean and Wheat Quality Research Unit, Wooster, OH 44691; third author: Department of Crop Sciences, University of Illinois, Urbana 61801; fourth and fifth authors: Institute for Genomic Diversity, Cornell University, Ithaca, NY 14853; sixth author: USDA-ARS Plant, Soil and Nutrition Research and Department of Plant Breeding and Genetics, Cornell University, Ithaca, NY 14853; and seventh author: Department of Plant Pathology, Ohio State University, Wooster 44691
| | - Bryan W Penning
- First, second, and seventh authors: United States Department of Agriculture-Agricultural Research Service (USDA-ARS) Corn, Soybean and Wheat Quality Research Unit, Wooster, OH 44691; third author: Department of Crop Sciences, University of Illinois, Urbana 61801; fourth and fifth authors: Institute for Genomic Diversity, Cornell University, Ithaca, NY 14853; sixth author: USDA-ARS Plant, Soil and Nutrition Research and Department of Plant Breeding and Genetics, Cornell University, Ithaca, NY 14853; and seventh author: Department of Plant Pathology, Ohio State University, Wooster 44691
| | - Tiffany M Jamann
- First, second, and seventh authors: United States Department of Agriculture-Agricultural Research Service (USDA-ARS) Corn, Soybean and Wheat Quality Research Unit, Wooster, OH 44691; third author: Department of Crop Sciences, University of Illinois, Urbana 61801; fourth and fifth authors: Institute for Genomic Diversity, Cornell University, Ithaca, NY 14853; sixth author: USDA-ARS Plant, Soil and Nutrition Research and Department of Plant Breeding and Genetics, Cornell University, Ithaca, NY 14853; and seventh author: Department of Plant Pathology, Ohio State University, Wooster 44691
| | - Jeff C Glaubitz
- First, second, and seventh authors: United States Department of Agriculture-Agricultural Research Service (USDA-ARS) Corn, Soybean and Wheat Quality Research Unit, Wooster, OH 44691; third author: Department of Crop Sciences, University of Illinois, Urbana 61801; fourth and fifth authors: Institute for Genomic Diversity, Cornell University, Ithaca, NY 14853; sixth author: USDA-ARS Plant, Soil and Nutrition Research and Department of Plant Breeding and Genetics, Cornell University, Ithaca, NY 14853; and seventh author: Department of Plant Pathology, Ohio State University, Wooster 44691
| | - Cinta Romay
- First, second, and seventh authors: United States Department of Agriculture-Agricultural Research Service (USDA-ARS) Corn, Soybean and Wheat Quality Research Unit, Wooster, OH 44691; third author: Department of Crop Sciences, University of Illinois, Urbana 61801; fourth and fifth authors: Institute for Genomic Diversity, Cornell University, Ithaca, NY 14853; sixth author: USDA-ARS Plant, Soil and Nutrition Research and Department of Plant Breeding and Genetics, Cornell University, Ithaca, NY 14853; and seventh author: Department of Plant Pathology, Ohio State University, Wooster 44691
| | - Edward S Buckler
- First, second, and seventh authors: United States Department of Agriculture-Agricultural Research Service (USDA-ARS) Corn, Soybean and Wheat Quality Research Unit, Wooster, OH 44691; third author: Department of Crop Sciences, University of Illinois, Urbana 61801; fourth and fifth authors: Institute for Genomic Diversity, Cornell University, Ithaca, NY 14853; sixth author: USDA-ARS Plant, Soil and Nutrition Research and Department of Plant Breeding and Genetics, Cornell University, Ithaca, NY 14853; and seventh author: Department of Plant Pathology, Ohio State University, Wooster 44691
| | - Margaret G Redinbaugh
- First, second, and seventh authors: United States Department of Agriculture-Agricultural Research Service (USDA-ARS) Corn, Soybean and Wheat Quality Research Unit, Wooster, OH 44691; third author: Department of Crop Sciences, University of Illinois, Urbana 61801; fourth and fifth authors: Institute for Genomic Diversity, Cornell University, Ithaca, NY 14853; sixth author: USDA-ARS Plant, Soil and Nutrition Research and Department of Plant Breeding and Genetics, Cornell University, Ithaca, NY 14853; and seventh author: Department of Plant Pathology, Ohio State University, Wooster 44691
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13
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Identification of a locus conferring dominant resistance to maize rough dwarf disease in maize. Sci Rep 2018; 8:3248. [PMID: 29459698 PMCID: PMC5818611 DOI: 10.1038/s41598-018-21677-3] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/17/2017] [Accepted: 02/07/2018] [Indexed: 01/09/2023] Open
Abstract
Maize rough dwarf disease (MRDD) is a severe viral disease of maize that occurs worldwide, particularly in the summer maize-growing areas in China, resulting in yield losses and quality deterioration in susceptible maize varieties. An effective solution to control MRDD is to use resistance genes to improve the behavior of susceptible genotypes. Here, we employed maize F2 populations derived from a cross between susceptible line S221 and resistant line K36 for the deep sequencing of the two DNA pools containing extremely resistant and susceptible F2 individuals, and used traditional linkage analysis to locate the resistance-related genomic region. The results showed that MRDD resistance in K36 was controlled by a single dominant locus, and an associated region was identified within the genomic interval of 68,396,487 bp and 69,523,478 bp on chromosome 6. Two simple sequence repeat (SSR) markers 6F29R29 and 6F34R34 were tightly linked to the MRDD resistance locus. The findings of the present study improve our understanding of the inheritance patterns of MRDD resistance, and should inform MRDD-resistant maize breeding programs.
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14
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Liu C, Hua J, Liu C, Zhang D, Hao Z, Yong H, Xie C, Li M, Zhang S, Weng J, Li X. Fine mapping of a quantitative trait locus conferring resistance to maize rough dwarf disease. TAG. THEORETICAL AND APPLIED GENETICS. THEORETISCHE UND ANGEWANDTE GENETIK 2016; 129:2333-2342. [PMID: 27544523 DOI: 10.1007/s00122-016-2770-7] [Citation(s) in RCA: 7] [Impact Index Per Article: 0.9] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 05/23/2016] [Accepted: 08/12/2016] [Indexed: 06/06/2023]
Abstract
A QTL qMrdd8 that confers resistance to MRDD was fine mapped into an interval of 347 kb; one SNP and two InDels identified in the interval were significantly associated with resistance to MRDD. Maize rough dwarf disease (MRDD) is highly prevalent in the summer maize-growing areas in China, and leads to significant yield losses in maize (Zea mays L.). In this study, the quantitative trait locus (QTL) qMrdd8, which confers resistance to MRDD, was fine mapped. Initially, qMrdd8 was consistently identified in the interval between the simple sequence repeat markers umc1617 and phi121 in three F2 sub-populations derived from a cross between the resistant recombinant inbred line NL203 and the susceptible line B73. Subsequently, qMrdd8 was fine mapped into an interval of 347 kb defined by the markers IDRQ2 and IDRQ20 using a recombinant-derived progeny test strategy. Based on single nucleotide polymorphism (SNP) genotypes identified using the MaizeSNP50 BeadChip, a long haplotype including qMrdd8 was identified in four resistant inbred lines. One SNP, the 2549-bp insertion/deletion polymorphism (InDel) InDel25, and the 2761-bp InDel27, which all were significantly associated with resistance to MRDD in a set of 226 maize inbred lines (P < 0.05), were detected within qMrdd8. Furthermore, two candidate genes, CG1 and CG2, were detected in the interval using RNA sequencing (RNA-Seq), and InDel25 was localized within the candidate gene CG1. In conclusion, the fine mapping of qMrdd8 will be helpful in cloning the resistance gene, and the three polymorphic markers identified in this study could be used to improve MRDD resistance via a marker-assisted selection approach.
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Affiliation(s)
- Changlin Liu
- Institute of Crop Science, Chinese Academy of Agricultural Sciences, No. 12 Zhongguancun South Street, Haidian District, Beijing, 100081, China
| | - Jinge Hua
- Institute of Crop Science, Chinese Academy of Agricultural Sciences, No. 12 Zhongguancun South Street, Haidian District, Beijing, 100081, China
| | - Chang Liu
- Northeast Agricultural University, Harbin, 150000, Heilongjiang, China
| | - Degui Zhang
- Institute of Crop Science, Chinese Academy of Agricultural Sciences, No. 12 Zhongguancun South Street, Haidian District, Beijing, 100081, China
| | - Zhuanfang Hao
- Institute of Crop Science, Chinese Academy of Agricultural Sciences, No. 12 Zhongguancun South Street, Haidian District, Beijing, 100081, China
| | - Hongjun Yong
- Institute of Crop Science, Chinese Academy of Agricultural Sciences, No. 12 Zhongguancun South Street, Haidian District, Beijing, 100081, China
| | - Chuanxiao Xie
- Institute of Crop Science, Chinese Academy of Agricultural Sciences, No. 12 Zhongguancun South Street, Haidian District, Beijing, 100081, China
| | - Mingshun Li
- Institute of Crop Science, Chinese Academy of Agricultural Sciences, No. 12 Zhongguancun South Street, Haidian District, Beijing, 100081, China
| | - Shihuang Zhang
- Institute of Crop Science, Chinese Academy of Agricultural Sciences, No. 12 Zhongguancun South Street, Haidian District, Beijing, 100081, China
| | - Jianfeng Weng
- Institute of Crop Science, Chinese Academy of Agricultural Sciences, No. 12 Zhongguancun South Street, Haidian District, Beijing, 100081, China.
| | - Xinhai Li
- Institute of Crop Science, Chinese Academy of Agricultural Sciences, No. 12 Zhongguancun South Street, Haidian District, Beijing, 100081, China.
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15
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Wang Y, Xu J, Deng D, Ding H, Bian Y, Yin Z, Wu Y, Zhou B, Zhao Y. A comprehensive meta-analysis of plant morphology, yield, stay-green, and virus disease resistance QTL in maize (Zea mays L.). PLANTA 2016; 243:459-71. [PMID: 26474992 DOI: 10.1007/s00425-015-2419-9] [Citation(s) in RCA: 39] [Impact Index Per Article: 4.9] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 12/15/2014] [Accepted: 10/07/2015] [Indexed: 05/09/2023]
Abstract
The meta-QTL and candidate genes will facilitate the elucidation of molecular bases underlying agriculturally important traits and open new avenues for functional markers development and elite alleles introgression in maize breeding program. A large number of QTLs attributed to grain productivity and other agriculturally important traits have been identified and deposited in public repositories. The integration of fruitful QTL becomes a major issue in current plant genomics. To this end, we first collected QTL for six agriculturally important traits in maize, including yield, plant height, ear height, leaf angle, stay-green, and maize rough dwarf disease resistance. The meta-analysis method was then employed to retrieve 113 meta-QTL. Additionally, we also isolated candidate genes for target traits by the bioinformatic technique. Several candidates, including some well-characterized genes, GA3ox2 for plant height, lg1 and lg4 for leaf angle, zfl1 and zfl2 for flowering time, were co-localized with established meta-QTL intervals. Intriguingly, in a relatively narrow meta-QTL region, the maize ortholog of rice yield-related gene GW8/OsSPL16 was believed to be a candidate for yield. Leveraging results presented in this study will provide further insights into the genetic architecture of maize agronomic traits. Moreover, the meta-QTL and candidate genes reported here could be harnessed for the enhancement of stress tolerance and yield performance in maize and translation to other crops.
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16
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Chen G, Wang X, Hao J, Yan J, Ding J. Genome-Wide Association Implicates Candidate Genes Conferring Resistance to Maize Rough Dwarf Disease in Maize. PLoS One 2015; 10:e0142001. [PMID: 26529245 PMCID: PMC4631334 DOI: 10.1371/journal.pone.0142001] [Citation(s) in RCA: 22] [Impact Index Per Article: 2.4] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/03/2015] [Accepted: 10/15/2015] [Indexed: 11/18/2022] Open
Abstract
Maize rough dwarf disease (MRDD) is a destructive viral disease in China, which results in 20-30% of the maize yield losses in affected areas and even as high as 100% in severely infected fields. Understanding the genetic basis of resistance will provide important insights for maize breeding program. In this study, a diverse maize population comprising of 527 inbred lines was evaluated in four environments and a genome-wide association study (GWAS) was undertaken with over 556000 SNP markers. Fifteen candidate genes associated with MRDD resistance were identified, including ten genes with annotated protein encoding functions. The homologous of nine candidate genes were predicted to relate to plant defense in different species based on published results. Significant correlation (R2 = 0.79) between the MRDD severity and the number of resistance alleles was observed. Consequently, we have broadened the resistant germplasm to MRDD and identified a number of resistance alleles by GWAS. The results in present study also imply the candidate genes in defense pathway play an important role in resistance to MRDD in maize.
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Affiliation(s)
- Gengshen Chen
- National Key Laboratory of Crop Genetic Improvement, Huazhong Agricultural University, Wuhan, 430070, China
| | - Xiaoming Wang
- Institute of Crop Science, Chinese Academy of Agricultural Sciences, Beijing, 100081, China
| | - Junjie Hao
- Institute of Plant Protection, Henan Academy of Agricultural Sciences, Zhengzhou, 450002, China
| | - Jianbing Yan
- National Key Laboratory of Crop Genetic Improvement, Huazhong Agricultural University, Wuhan, 430070, China
| | - Junqiang Ding
- National Key Laboratory of Crop Genetic Improvement, Huazhong Agricultural University, Wuhan, 430070, China
- College of Agronomy, Synergetic Innovation Center of Henan Grain Crops and National Key Laboratory of Wheat and Maize Crop Science, Henan Agricultural University, Zhengzhou, 450002, China
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17
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Abstract
Diseases caused by viruses are found throughout the maize-growing regions of the world and can cause significant losses for producers. In this review, virus diseases of maize and the pathogens that cause them are discussed. Factors leading to the spread of disease and measures for disease control are reviewed, as is our current knowledge of the genetics of virus resistance in this important crop.
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Affiliation(s)
- Margaret G Redinbaugh
- USDA, Agricultural Research Service, Corn, Soybean and Wheat Quality Research Unit and Department of Plant Pathology, Ohio State University-OARDC, Wooster, Ohio, USA.
| | - José L Zambrano
- Instituto Nacional Autónomo de Investigaciones Agropecuarias (INIAP), Programa Nacional del Maíz, Quito, Ecuador
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18
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Song FJ, Xiao MG, Duan CX, Li HJ, Zhu ZD, Liu BT, Sun SL, Wu XF, Wang XM. Two genes conferring resistance to Pythium stalk rot in maize inbred line Qi319. Mol Genet Genomics 2015; 290:1543-9. [DOI: 10.1007/s00438-015-1019-5] [Citation(s) in RCA: 7] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/15/2014] [Accepted: 02/23/2015] [Indexed: 10/23/2022]
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19
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Ren C, Cheng Z, Yang L, Miao Q, Fan Y, Zhou Y. A novel, in vivo, indoor method to preserve rice black-streaked dwarf virus in small brown planthopper using wheat seedling as a bridge host. J Virol Methods 2014; 208:26-32. [PMID: 25075933 DOI: 10.1016/j.jviromet.2014.07.024] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/30/2014] [Revised: 07/15/2014] [Accepted: 07/18/2014] [Indexed: 10/25/2022]
Abstract
Rice black-streaked dwarf virus (RBSDV) naturally infects Gramineae plants through small brown planthopper (SBPH) as a vector. However, RBSDV cannot be transmitted to the SBPH offspring through transovarian transmission. Wheat plant, an important intermediate host in winter, is essential for the completion of the annual cycle of RBSDV in farm ecosystem. We developed a novel, in vivo, indoor method to preserve RBSDV in SBPH using wheat seedling as a bridge host. The temperature range of 23-27°C was initially selected to rear the insects and plants. Before initiating the scheme cycle, viruliferous SBPH was obtained by feeding the virus-free 1st to 2nd instar nymphs with RBSDV-infected rice plants. Four to six RBSDV-infected SBPH were placed per plant to inoculate wheat seedlings at two-to-four leaf stages. After 48 h of inoculation, the viruliferous SBPH were removed. Five mated, newly emerged virus-free SBPH females were then transferred onto each inoculated plant and allowed to lay eggs for 48 h. The newly hatched SBPH were raised on wheat seedlings until the 2nd instar nymph stage, and then transferred onto healthy rice seedlings for further development until 5th instar nymphs or adults. These newly obtained viruliferous SBPH can be used for inoculating new wheat seedlings in the succeeding maintenance cycles, or for further experiments. We discovered that the incubation period of RBSDV in wheat seedlings synchronized with the gestation period of SBPH eggs at four to six inoculated viruliferous SBPH per plant and lasted for approximately seven days. In addition, this period was optimal for enhancing the SBPH infection ratio because SBPH nymphs can only acquire the virus after they hatch. The RBSDV infection ratio of the SBPHs acquired through this method consistently exceeded 50%.
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Affiliation(s)
- Chunmei Ren
- Institute of Plant Protection, Jiangsu Academy of Agricultural Sciences, No. 50 Zhongling Road, Nanjing 210014, China
| | - Zhaobang Cheng
- Institute of Plant Protection, Jiangsu Academy of Agricultural Sciences, No. 50 Zhongling Road, Nanjing 210014, China.
| | - Liu Yang
- Institute of Plant Protection, Jiangsu Academy of Agricultural Sciences, No. 50 Zhongling Road, Nanjing 210014, China
| | - Qian Miao
- Institute of Plant Protection, Jiangsu Academy of Agricultural Sciences, No. 50 Zhongling Road, Nanjing 210014, China
| | - Yongjian Fan
- Institute of Plant Protection, Jiangsu Academy of Agricultural Sciences, No. 50 Zhongling Road, Nanjing 210014, China
| | - Yijun Zhou
- Institute of Plant Protection, Jiangsu Academy of Agricultural Sciences, No. 50 Zhongling Road, Nanjing 210014, China
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Tao Y, Liu Q, Wang H, Zhang Y, Huang X, Wang B, Lai J, Ye J, Liu B, Xu M. Identification and fine-mapping of a QTL, qMrdd1, that confers recessive resistance to maize rough dwarf disease. BMC PLANT BIOLOGY 2013; 13:145. [PMID: 24079304 PMCID: PMC3850639 DOI: 10.1186/1471-2229-13-145] [Citation(s) in RCA: 21] [Impact Index Per Article: 1.9] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 05/19/2013] [Accepted: 09/27/2013] [Indexed: 05/20/2023]
Abstract
BACKGROUND Maize rough dwarf disease (MRDD) is a devastating viral disease that results in considerable yield losses worldwide. Three major strains of virus cause MRDD, including maize rough dwarf virus in Europe, Mal de Río Cuarto virus in South America, and rice black-streaked dwarf virus in East Asia. These viral pathogens belong to the genus fijivirus in the family Reoviridae. Resistance against MRDD is a complex trait that involves a number of quantitative trait loci (QTL). The primary approach used to minimize yield losses from these viruses is to breed and deploy resistant maize hybrids. RESULTS Of the 50 heterogeneous inbred families (HIFs), 24 showed consistent responses to MRDD across different years and locations, in which 9 were resistant and 15 were susceptible. We performed trait-marker association analysis on the 24 HIFs and found six chromosomal regions which were putatively associated with MRDD resistance. We then conducted QTL analysis and detected a major resistance QTL, qMrdd1, on chromosome 8. By applying recombinant-derived progeny testing to self-pollinated backcrossed families, we fine-mapped the qMrdd1 locus into a 1.2-Mb region flanked by markers M103-4 and M105-3. The qMrdd1 locus acted in a recessive manner to reduce the disease-severity index (DSI) by 24.2-39.3%. The genetic effect of qMrdd1 was validated using another F6 recombinant inbred line (RIL) population in which MRDD resistance was segregating and two genotypes at the qMrdd1 locus differed significantly in DSI values. CONCLUSIONS The qMrdd1 locus is a major resistance QTL, acting in a recessive manner to increase maize resistance to MRDD. We mapped qMrdd1 to a 1.2-Mb region, which will enable the introgression of qMrdd1-based resistance into elite maize hybrids and reduce MRDD-related crop losses.
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Affiliation(s)
- Yongfu Tao
- National Maize Improvement Center, China Agricultural University, 2 West Yuanmingyuan Road, Beijing 100193, People’s Republic of China
| | - Qingcai Liu
- National Maize Improvement Center, China Agricultural University, 2 West Yuanmingyuan Road, Beijing 100193, People’s Republic of China
| | - Honghong Wang
- State Key Laboratory of Crop Biology, Shandong Agricultural University, 61 Daizong Street, Shandong 271018, People’s Republic of China
| | - Yanjun Zhang
- State Key Laboratory of Crop Biology, Shandong Agricultural University, 61 Daizong Street, Shandong 271018, People’s Republic of China
| | - Xinyi Huang
- National Maize Improvement Center, China Agricultural University, 2 West Yuanmingyuan Road, Beijing 100193, People’s Republic of China
| | - Baobao Wang
- National Maize Improvement Center, China Agricultural University, 2 West Yuanmingyuan Road, Beijing 100193, People’s Republic of China
| | - Jinsheng Lai
- National Maize Improvement Center, China Agricultural University, 2 West Yuanmingyuan Road, Beijing 100193, People’s Republic of China
| | - Jianrong Ye
- National Maize Improvement Center, China Agricultural University, 2 West Yuanmingyuan Road, Beijing 100193, People’s Republic of China
| | - Baoshen Liu
- State Key Laboratory of Crop Biology, Shandong Agricultural University, 61 Daizong Street, Shandong 271018, People’s Republic of China
| | - Mingliang Xu
- National Maize Improvement Center, China Agricultural University, 2 West Yuanmingyuan Road, Beijing 100193, People’s Republic of China
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Wu J, Ni Y, Liu H, Rao L, Zhou Y, Zhou X. Development and use of three monoclonal antibodies for the detection of rice black-streaked dwarf virus in field plants and planthopper vectors. Virol J 2013; 10:114. [PMID: 23575411 PMCID: PMC3639876 DOI: 10.1186/1743-422x-10-114] [Citation(s) in RCA: 27] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/12/2012] [Accepted: 03/28/2013] [Indexed: 01/26/2023] Open
Abstract
BACKGROUND Rice black-streaked dwarf virus (RBSDV) causes great losses in rice, maize and wheat production in Asian countries. The use of serological methods for RBSDV detection depends on the availability of antibodies. In this study, three highly sensitive and specific murine monoclonal antibodies (MAbs) against RBSDV antigens were produced using crude extracts from tumors of RBSDV-infected maize as the immunogen, and two serological assays, antigen-coated-plate enzyme-linked immunosorbent assay (ACP-ELISA) and dot enzyme-linked immunosorbent assay (dot-ELISA) were developed for RBSDV detection. RESULTS All three MAbs reacted strongly and specifically with the crude extracts from RBSDV-infected plant and planthopper tissues. The detection endpoints of three MAbs (12E10, 18F10 and 5G5) in ACP-ELISA were respectively 1:40,960, 1:40,960, 1:81,920 (w/v, g mL-1) with the crude extract of infected maize, 1:10,240, 1:20,480, 1:20,480 (w/v, g mL-1) with the crude extract of infected rice, 1:5,120, 1:10,240, 1:10,240 (w/v, g mL-1) with the crude extract of infected wheat, 1:9,600, 1:9,600, 19,200 (individual planthopper/μL) with the crude extract of infected planthopper. The newly developed ACP-ELISA could detect the virus in the infected maize, wheat, rice tissue crude extracts diluted at 1:81,920, 1:20,480, 1:10,240 (w/v, g mL-1), respectively, and in individual viruliferous planthopper extract diluted at 1:19200 (individual planthopper/μL). The dot-ELISA was proved to detect the virus in the infected maize, wheat and rice tissue crude extracts diluted at 1:320 (w/v, g mL-1), and in individual viruliferous planthopper extract diluted at 1:1,600 (individual planthopper/μL), respectively. Field plants (915) and planthopper samples (594) from five provinces of China were screened for the presence of RBSDV using the two developed serological assays. The results indicated that 338 of the 915 plant samples and 19 of the 594 planthopper samples were infected by RBSDV. CONCLUSIONS The newly developed ACP-ELISA and dot-ELISA were highly sensitive and specific to detect RBSDV in field plant and planthopper samples. The field survey demonstrated that RBSDV is widespread in rice, maize and wheat crops in Jiangsu, Zhejiang, Shandong provinces of China.
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Affiliation(s)
- Jianxiang Wu
- State Key Laboratory of Rice Biology, Institute of Biotechnology, Zhejiang University, Hangzhou, Zhejiang 310058, China
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Cao X, Lu Y, Di D, Zhang Z, Liu H, Tian L, Zhang A, Zhang Y, Shi L, Guo B, Xu J, Duan X, Wang X, Han C, Miao H, Yu J, Li D. Enhanced virus resistance in transgenic maize expressing a dsRNA-specific endoribonuclease gene from E. coli. PLoS One 2013; 8:e60829. [PMID: 23593318 PMCID: PMC3621894 DOI: 10.1371/journal.pone.0060829] [Citation(s) in RCA: 15] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/16/2012] [Accepted: 03/03/2013] [Indexed: 12/01/2022] Open
Abstract
Maize rough dwarf disease (MRDD), caused by several Fijiviruses in the family Reoviridae, is a global disease that is responsible for substantial yield losses in maize. Although some maize germplasm have low levels of polygenic resistance to MRDD, highly resistant cultivated varieties are not available for agronomic field production in China. In this work, we have generated transgenic maize lines that constitutively express rnc70, a mutant E. coli dsRNA-specific endoribonuclease gene. Transgenic lines were propagated and screened under field conditions for 12 generations. During three years of evaluations, two transgenic lines and their progeny were challenged with Rice black-streaked dwarf virus (RBSDV), the causal agent of MRDD in China, and these plants exhibited reduced levels of disease severity. In two normal years of MRDD abundance, both lines were more resistant than non-transgenic plants. Even in the most serious MRDD year, six out of seven progeny from one line were resistant, whereas non-transgenic plants were highly susceptible. Molecular approaches in the T12 generation revealed that the rnc70 transgene was integrated and expressed stably in transgenic lines. Under artificial conditions permitting heavy virus inoculation, the T12 progeny of two highly resistant lines had a reduced incidence of MRDD and accumulation of RBSDV in infected plants. In addition, we confirmed that the RNC70 protein could bind directly to RBSDV dsRNA in vitro. Overall, our data show that RNC70-mediated resistance in transgenic maize can provide efficient protection against dsRNA virus infection.
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Affiliation(s)
- Xiuling Cao
- State Key Laboratory of Agro-Biotechnology and MOA Key Laboratory of Soil Microbiology, College of Biological Sciences, China Agricultural University, Beijing, P. R. China
| | - Yingui Lu
- Plant Protection Institute, Hebei Academy of Agricultural and Forestry Sciences, Baoding, P. R. China
| | - Dianping Di
- Plant Protection Institute, Hebei Academy of Agricultural and Forestry Sciences, Baoding, P. R. China
| | - Zhiyan Zhang
- State Key Laboratory of Agro-Biotechnology and MOA Key Laboratory of Soil Microbiology, College of Biological Sciences, China Agricultural University, Beijing, P. R. China
| | - He Liu
- State Key Laboratory of Agro-Biotechnology and MOA Key Laboratory of Soil Microbiology, College of Biological Sciences, China Agricultural University, Beijing, P. R. China
| | - Lanzhi Tian
- Plant Protection Institute, Hebei Academy of Agricultural and Forestry Sciences, Baoding, P. R. China
| | - Aihong Zhang
- Plant Protection Institute, Hebei Academy of Agricultural and Forestry Sciences, Baoding, P. R. China
| | - Yanjing Zhang
- State Key Laboratory of Agro-Biotechnology and MOA Key Laboratory of Soil Microbiology, College of Biological Sciences, China Agricultural University, Beijing, P. R. China
| | - Lindan Shi
- State Key Laboratory of Agro-Biotechnology and MOA Key Laboratory of Soil Microbiology, College of Biological Sciences, China Agricultural University, Beijing, P. R. China
| | - Bihong Guo
- State Key Laboratory of Agro-Biotechnology and MOA Key Laboratory of Soil Microbiology, College of Biological Sciences, China Agricultural University, Beijing, P. R. China
| | - Jin Xu
- State Key Laboratory of Agro-Biotechnology and MOA Key Laboratory of Soil Microbiology, College of Biological Sciences, China Agricultural University, Beijing, P. R. China
| | - Xifei Duan
- Plant Protection Institute, Hebei Academy of Agricultural and Forestry Sciences, Baoding, P. R. China
| | - Xianbing Wang
- State Key Laboratory of Agro-Biotechnology and MOA Key Laboratory of Soil Microbiology, College of Biological Sciences, China Agricultural University, Beijing, P. R. China
| | - Chenggui Han
- State Key Laboratory of Agro-Biotechnology and MOA Key Laboratory of Soil Microbiology, College of Biological Sciences, China Agricultural University, Beijing, P. R. China
| | - Hongqin Miao
- Plant Protection Institute, Hebei Academy of Agricultural and Forestry Sciences, Baoding, P. R. China
| | - Jialin Yu
- State Key Laboratory of Agro-Biotechnology and MOA Key Laboratory of Soil Microbiology, College of Biological Sciences, China Agricultural University, Beijing, P. R. China
| | - Dawei Li
- State Key Laboratory of Agro-Biotechnology and MOA Key Laboratory of Soil Microbiology, College of Biological Sciences, China Agricultural University, Beijing, P. R. China
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