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Featured researches published by Yongli Zhou.


Science China-life Sciences | 2008

Dissection of genetic overlap of salt tolerance QTLs at the seedling and tillering stages using backcross introgression lines in rice

Jin-Ping Zang; Yun Wang; Jing Yang; Fang Li; Yongli Zhou; Ling-Hua Zhu; Reys Jessica; Fotokian Mohammadhosein; Jianlong Xu; Zhikang Li

QTLs for salt-tolerance (ST) related traits at the seedling and tillering stages were identified using 99 BC2F8 introgression lines (IL) derived from a cross between IR64 (indica) as a recurrent parent and Binam (japonica) from Iran as the donor parent. Thirteen QTLs affecting survival days of seedlings (SDS), score of salt toxicity of leaves (SST), shoot K+ concentration (SKC) and shoot Na+ concentration (SNC) at the seedling stage and 22 QTLs underlying fresh weight of shoots (FW), tiller number per plant (TN) and plant height (PH) at the tillering stage were identified. Most QTLs detected at the tillering stage showed obvious differential expression to salt stress and were classified into three types based on their differential behaviors. Type I included 11 QTLs which were expressed only under the non-stress condition. Type II included five QTLs expressed in the control and the salt stress conditions, and three of them (QPh5, QPh8 and QTn9) had similar quantity and the same direction of gene effect, suggesting their expression was less influenced by salt stress. Type III included six QTLs which were detectable only under salt stress, suggesting that these QTLs were apparently induced by the stress. Thirteen QTLs affecting trait difference or trait stability of ILs between the stress and non-stress conditions were identified and the Binam alleles at all loci except QPh4, QTn2 and QFw2a decreased trait difference. The three QTLs less influenced by the stress and 13 QTLs affecting trait stability were considered as ST QTLs which contributed to ST. Comparing the distribution of QTLs detected at the seedling and tillering stages, most (69%) of them were genetically independent. Only four were the same or adjacent regions on chromosomes 1, 2, 8 and 11 harboring ST QTLs detected at the two stages, suggesting that partial genetic overlap of ST across the two stages occurs. It is likely, therefore, to develop ST rice variety for both stages by pyramiding of ST QTLs of different stages or selection against the overlapping QTLs between the two stages via marker-assisted selection (MAS).


BMC Genomics | 2014

Comparative transcriptome sequencing of tolerant rice introgression line and its parents in response to drought stress

Liyu Huang; Fan Zhang; Wensheng Wang; Yongli Zhou; Binying Fu; Zhikang Li

BackgroundRice (Oryza sativa. L) is more sensitive to drought stress than other cereals, and large genotypic variation in drought tolerance (DT) exists within the cultivated rice gene pool and its wild relatives. Selective introgression of DT donor segments into a drought-sensitive (DS) elite recurrent parent by backcrossing is an effective way to improve drought stress tolerance in rice. To dissect the molecular mechanisms underlying DT in rice, deep transcriptome sequencing was used to investigate transcriptome differences among a DT introgression line H471, the DT donor P28, and the drought-sensitive, recurrent parent HHZ under drought stress.ResultsThe results revealed constitutively differential gene expression before stress and distinct global transcriptome reprogramming among the three genotypes under a time series of drought stress, consistent with their different genotypes and DT phenotypes. A set of genes with higher basal expression in both H471 and P28 compared with HHZ were functionally enriched in oxidoreductase and lyase activities, implying their positive role in intrinsic DT. Gene Ontology analysis indicated that common up-regulated genes in all three genotypes under mild drought stress were enriched in signaling transduction and transcription regulation. Meanwhile, diverse functional categories were characterized for the commonly drought-induced genes in response to severe drought stress. Further comparative transcriptome analysis between H471 and HHZ under drought stress found that introgression caused wide-range gene expression changes; most of the differentially expressed genes (DEGs) in H471 relative to HHZ under drought were beyond the identified introgressed regions, implying that introgression resulted in novel changes in expression. Co-expression analysis of these DEGs represented a complex regulatory network, including the jasmonic acid and gibberellin pathway, involved in drought stress tolerance in H471.ConclusionsComprehensive gene expression profiles revealed that genotype-specific drought induced genes and genes with higher expression in the DT genotype under normal and drought conditions contribute jointly to DT improvement. The molecular genetic pathways of drought stress tolerance uncovered in this study, as well as the DEGs co-localized with DT-related QTLs and introgressed intervals, will serve as useful resources for further functional dissection of the molecular mechanisms of drought stress response in rice.


BMC Genomics | 2010

Genome-wide gene responses in a transgenic rice line carrying the maize resistance gene Rxo1 to the rice bacterial streak pathogen, Xanthomonas oryzae pv. oryzicola.

Yongli Zhou; Mei-Rong Xu; Ming-Fu Zhao; Xue-Wen Xie; Ling-Hua Zhu; Binying Fu; Zhikang Li

BackgroundNon-host resistance in rice to its bacterial pathogen, Xanthomonas oryzae pv. oryzicola (Xoc), mediated by a maize NBS-LRR type R gene, Rxo1 shows a typical hypersensitive reaction (HR) phenotype, but the molecular mechanism(s) underlying this type of non-host resistance remain largely unknown.ResultsA microarray experiment was performed to reveal the molecular mechanisms underlying HR of rice to Xoc mediated by Rxo1 using a pair of transgenic and non-transgenic rice lines. Our results indicated that Rxo1 appeared to function in the very early step of the interaction between rice and Xoc, and could specifically activate large numbers of genes involved in signaling pathways leading to HR and some basal defensive pathways such as SA and ET pathways. In the former case, Rxo1 appeared to differ from the typical host R genes in that it could lead to HR without activating NDR1. In the latter cases, Rxo1 was able to induce a unique group of WRKY TF genes and a large set of genes encoding PPR and RRM proteins that share the same G-box in their promoter regions with possible functions in post-transcriptional regulation.ConclusionsIn conclusion, Rxo1, like most host R genes, was able to trigger HR against Xoc in the heterologous rice plants by activating multiple defensive pathways related to HR, providing useful information on the evolution of plant resistance genes. Maize non-host resistance gene Rxo1 could trigger the pathogen-specific HR in heterologous rice, and ultimately leading to a localized programmed cell death which exhibits the characteristics consistent with those mediated by host resistance genes, but a number of genes encoding pentatricopeptide repeat and RNA recognition motif protein were found specifically up-regulated in the Rxo1 mediated disease resistance. These results add to our understanding the evolution of plant resistance genes.


Molecular Breeding | 2009

Pyramiding Xa23 and Rxo1 for resistance to two bacterial diseases into an elite indica rice variety using molecular approaches.

Yongli Zhou; Jianlong Xu; Shao-Chuan Zhou; Xue-Wen Xie; Mei-Rong Xu; Ling-Hua Zhu; Binying Fu; Yong-Ming Gao; Zhikang Li

Rice bacterial leaf blight (BB) caused by Xanthomonasoryzae pv. oryzae and bacterial leaf streak (BLS) caused by X. oryzae pv. oryzicola (Xoc) are two important diseases of rice that often outbreak simultaneously and constrain rice production in much of Asia and parts of Africa. Developing resistant cultivars has been the most effective approach to control BB, however, most single resistance genes have limited value in breeding programs because of their narrow-spectrum of resistance to the races of the pathogen. By contrast, there is little progress in breeding varieties resistant to Xoc since BLS resistance in rice was a quantitative trait and so far only a few quantitative resistance loci have been identified. We reported here the development of a high yield elite line, Lu-You-Zhan highly resistant to both BB and BLS by pyramiding Xa23 with a wide-spectrum resistance to BB derived from wild rice and a non-host maize resistance gene, Rxo1, using both marker assisted selection (MAS) and genetic engineering. Our study has provided strong evidence that non-host R genes could be a valuable source of resistance in combating those plant diseases where no single R gene controlling high level of resistance exists and demonstrated that MAS combined with transgenic technologies are an effective strategy to achieve high level of resistance against multiple plant diseases.


Acta Agronomica Sinica | 2008

Genetic Background and Environmental Effects on QTLs for Sheath Blight Resistance Revealed by Reciprocal Introgression Lines in Rice

Xue-Wen Xie; Mei-Rong Xu; Jin-Ping Zang; Ling-Hua Zhu; Jian-Long Xu; Yongli Zhou; Li Zhikang

Abstract To detect quantitative trait loci (QTLs) for resistance to rice sheath blight (SB) that expressed stably in different genetic backgrounds and environments, the reciprocal introgression line populations derived from the cross of Lemont and Teqing (LT-ILs and TQ-ILs) were planted in the field in 2006–2007 and inoculated with isolate RH-9 of Rhizoctonia solani . Lemont was highly susceptible, whereas Teqing was moderately resistant to RH-9. The relative lesion height (a ratio of lesion height to plant height) of TQ-ILs was normally distributed, whereas that of LT-ILs was apparently inclined to the susceptible parent Lemont. A total of 10 main-effect QTLs (M-QTLs) and 13 epistatic QTLs (E-QTLs) conferring sheath blight resistance (SBR) were mapped using data obtained from different years and genetic backgrounds. Among them, 6 M-QTLs detected in 2006 were verified in 2007, suggesting that these M-QTLs had reliable performance across years. QRlh4 was the only M-QTL expressed under the reciprocal backgrounds. On chromosome 10, QRlh10a between RM216 and RM311 detected in TQ-ILs and QRlh10b between RM222 and RM216 detected in LT-ILs were regarded as different genes because their directions of additive effect were opposite. Most QTLs identified in TQ-ILs were not expressed in LT-ILs, indicating the presence of a significant effect of genetic background. By comparative mapping, 8 M-QTLs detected in this study were located in the same or near regions that were associated with SBR identified in the previous studies. These M-QTLs have great potential to be applied in rice breeding for SBR by marker-assisted selection (MAS), and M-QTLs expressed stably in different backgrounds are favorable for gene pyramiding in SBR improvement in rice.


Crop Protection | 2011

Improvement of bacterial blight resistance of hybrid rice in China using the Xa23 gene derived from wild rice (Oryza rufipogon)

Yongli Zhou; Veronica N.E. Uzokwe; Cong-He Zhang; Li-Rui Cheng; Lei Wang; Kai Chen; Xiao-Qing Gao; Jin-Jie Chen; Ling-Hua Zhu; Qi Zhang; Jauhar Ali; Jianlong Xu; Zhikang Li


BMC Plant Biology | 2017

Genome-wide association study of salt tolerance at the seed germination stage in rice

Yingyao Shi; Lingling Gao; Zhichao Wu; Xiaojing Zhang; Mingming Wang; Fan Zhang; Yongli Zhou; Zhikang Li


Plant Breeding | 2015

Detecting major QTL associated with resistance to bacterial blight using a set of rice reciprocal introgression lines with high density SNP markers

Fan Zhang; Xue-Wen Xie; Mei-Rong Xu; Wensheng Wang; Jianlong Xu; Yongli Zhou; Zhikang Li


Archive | 2012

Selection method of polymeric rice sheath blight resistance breeding material

Yongli Zhou; Zhikang Li; Yong-Ming Gao


Archive | 2006

Green smut bug real-time fluorescent quantitative PCR test kit and its use

Yongli Zhou; Xue-Wen Xie; Jianlong Xu; Shu Wang; Zhikang Li

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Zhikang Li

International Rice Research Institute

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Jianlong Xu

International Rice Research Institute

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Yong-Ming Gao

International Rice Research Institute

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Mei-Rong Xu

South China Agricultural University

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Binying Fu

International Rice Research Institute

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Fan Zhang

University of Georgia

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Li Zhikang

International Rice Research Institute

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Wensheng Wang

International Rice Research Institute

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Shu Wang

Shenyang Agricultural University

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Fotokian Mohammadhosein

International Rice Research Institute

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