Network


Latest external collaboration on country level. Dive into details by clicking on the dots.

Hotspot


Dive into the research topics where Hanyong Yu is active.

Publication


Featured researches published by Hanyong Yu.


BMC Plant Biology | 2014

Genome-wide association study of blast resistance in indica rice

Caihong Wang; Yaolong Yang; Xiaoping Yuan; Qun Xu; Yue Feng; Hanyong Yu; Yiping Wang; Xinghua Wei

BackgroundRice blast disease is one of the most serious and recurrent problems in rice-growing regions worldwide. Most resistance genes were identified by linkage mapping using genetic populations. We extensively examined 16 rice blast strains and a further genome-wide association study based on genotyping 0.8 million single nucleotide polymorphism variants across 366 diverse indica accessions.ResultsTotally, thirty associated loci were identified. The strongest signal (Chr11_6526998, P =1.17 × 10−17) was located within the gene Os11g0225100, one of the rice Pia-blast resistance gene. Another association signal (Chr11_30606558) was detected around the QTL Pif. Our study identified the gene Os11g0704100, a disease resistance protein containing nucleotide binding site-leucine rich repeat domain, as the main candidate gene of Pif. In order to explore the potential mechanism underlying the blast resistance, we further examined a locus in chromosome 12, which was associated with CH149 (P =7.53 × 10−15). The genes, Os12g0424700 and Os12g0427000, both described as kinase-like domain containing protein, were presumed to be required for the full function of this locus. Furthermore, we found some association on chromosome 3, in which it has not been reported any loci associated with rice blast resistance. In addition, we identified novel functional candidate genes, which might participate in the resistance regulation.ConclusionsThis work provides the basis of further study of the potential function of these candidate genes. A subset of true associations would be weakly associated with outcome in any given GWAS; therefore, large-scale replication is necessary to confirm our results. Future research will focus on validating the effects of these candidate genes and their functional variants using genetic transformation and transferred DNA insertion mutant screens, to verify that these genes engender resistance to blast disease in rice.


Journal of Genetics and Genomics | 2009

Temporal changes in SSR allelic diversity of major rice cultivars in China.

Xinghua Wei; Xiaoping Yuan; Hanyong Yu; Yiping Wang; Qun Xu; Sheng-xiang Tang

Forty simple sequence repeats (SSRs) were used to assess the changes of diversity in 310 major Chinese rice cultivars grown during the 1950s-1990s. Of the 40 SSR loci, 39 were polymorphic. A total of 221 alleles were detected with an average of 5.7 alleles per locus (Na). The Neis genetic diversity index (He) varied drastically among the loci (0.207 to 0.874, mean 0.625). Comparing the temporal changes in Na and He, the cultivars from the 1950s had more alleles and higher He scores than the cultivars from the other four decades. Analysis of molecular variance (AMOVA) indicated that the genetic differentiation among the five decades was not significant in the whole set, but significant within indica and japonica. More changes among the decades were revealed in indica cultivars than in japonica cultivars. Some alleles had been lost in current rice cultivars in the 1990s, occurring more frequently in indica. These results suggest that more elite alien genetic resources should be explored to widen the genetic backgrounds of rice cultivars currently grown in China.


BMC Genomics | 2013

Genome-wide copy number variations in Oryza sativa L.

Ping Yu; Caihong Wang; Qun Xu; Yue Feng; Xiaoping Yuan; Hanyong Yu; Yiping Wang; Sheng-xiang Tang; Xinghua Wei

BackgroundCopy number variation (CNV) can lead to intra-specific genome variations. It is not only part of normal genetic variation, but also is the source of phenotypic differences. Rice (Oryza sativa L.) is a model organism with a well-annotated genome, but investigation of CNVs in rice lags behind its mammalian counterparts.ResultsWe comprehensively assayed CNVs using high-density array comparative genomic hybridization in a panel of 20 Asian cultivated rice comprising six indica, three aus, two rayada, two aromatic, three tropical japonica, and four temperate japonica varieties. We used a stringent criterion to identify a total of 2886 high-confidence copy number variable regions (CNVRs), which span 10.28 Mb (or 2.69%) of the rice genome, overlapping 1321 genes. These genes were significantly enriched for specific biological functions involved in cell death, protein phosphorylation, and defense response. Transposable elements (TEs) and other repetitive sequences were identified in the majority of CNVRs. Chromosome 11 showed the greatest enrichment for CNVs. Of subspecies-specific CNVRs, 55.75% and 61.96% were observed in only one cultivar of ssp. indica and ssp. japonica, respectively. Some CNVs with high frequency differences among groups resided in genes underlying rice adaptation.ConclusionsHigher recombination rates and the presence of homologous gene clusters are probably predispositions for generation of the higher number of CNVs on chromosome 11 by non-allelic homologous recombination events. The subspecies-specific variants are enriched for rare alleles, which suggests that CNVs are relatively recent events that have arisen within breeding populations. A number of the CNVs identified in this study are candidates for generation of group-specific phenotypes.


PLOS ONE | 2014

Development of novel microsatellite markers for the BBCC Oryza genome (Poaceae) using high-throughput sequencing technology.

Caihong Wang; Xiaojiao Liu; Suotang Peng; Qun Xu; Xiaoping Yuan; Yue Feng; Hanyong Yu; Yiping Wang; Xinghua Wei

Wild species of Oryza are extremely valuable sources of genetic material that can be used to broaden the genetic background of cultivated rice, and to increase its resistance to abiotic and biotic stresses. Until recently, there was no sequence information for the BBCC Oryza genome; therefore, no special markers had been developed for this genome type. The lack of suitable markers made it difficult to search for valuable genes in the BBCC genome. The aim of this study was to develop microsatellite markers for the BBCC genome. We obtained 13,991 SSR-containing sequences and designed 14,508 primer pairs. The most abundant was hexanuclelotide (31.39%), followed by trinucleotide (27.67%) and dinucleotide (19.04%). 600 markers were selected for validation in 23 accessions of Oryza species with the BBCC genome. A set of 495 markers produced clear amplified fragments of the expected sizes. The average number of alleles per locus (Na) was 2.5, ranging from 1 to 9. The genetic diversity per locus (He) ranged from 0 to 0.844 with a mean of 0.333. The mean polymorphism information content (PIC) was 0.290, and ranged from 0 to 0.825. Of the 495 markers, 12 were only found in the BB genome, 173 were unique to the CC genome, and 198 were also present in the AA genome. These microsatellite markers could be used to evaluate the phylogenetic relationships among different Oryza genomes, and to construct a genetic linkage map for locating and identifying valuable genes in the BBCC genome, and would also for marker-assisted breeding programs that included accessions with the AA genome, especially Oryza sativa.


Frontiers in Plant Science | 2017

Association Mapping Reveals Novel Genetic Loci Contributing to Flooding Tolerance during Germination in Indica Rice

Mengchen Zhang; Qing Lu; Wei Wu; Xiaojun Niu; Caihong Wang; Yue Feng; Qun Xu; Shan Wang; Xiaoping Yuan; Hanyong Yu; Yiping Wang; Xinghua Wei

Rice (Oryza sativa L.) is the only cereal crop that possesses the ability to germinate under flooded or other oxygen-deficient conditions. Rapid elongation of the coleoptile is a perfect response to flooding during germination, with coleoptile length differing among various rice varieties. Despite multiple studies have uncovered valuable information concerning this trait by focusing on the physiological metabolism of oxygen stress, the underlying genetic mechanism still remains unknown. In the present study, we screened coleoptile lengths of 432 indica varieties germinated in two environments (normal and flooded) and found more variation existing in flooded coleoptile length (FCL) rather than in normal coleoptile length (NCL). With the phenotypic data of NCL, FCL and FTI (flooding tolerance index), a genome-wide association study was performed by using 5291 single nucleotide polymorphism (SNP) markers. We detected 2, 11, and 9 significant SNPs under a mixed linear mode for NCL, FCL, and FTI, respectively. Of these SNPs, five were shared by FCL and FTI. Haplotype and phenotype effect analysis on the highest ranking locus indicated one of the two haplotypes contributed to coleoptile elongation remarkably. To better understand the controlling gene of this locus, reported expression profile data was applied. We focused on LOC_Os06g03520, a candidate gene which was highly induced by anoxia (∼507 fold). Sequence analysis in 51 varieties demonstrated Hap.2 associated perfectly with flooding tolerance. Further studies on this gene may help explore the molecular mechanism of rice flooding tolerance during germination. We believe our discoveries may conduce to isolating major genes and aid the improvement of flooding tolerance in modern breeding programs.


Frontiers in Plant Science | 2018

Genome-Wide Association Study of Seed Dormancy and the Genomic Consequences of Improvement Footprints in Rice (Oryza sativa L.)

Qing Lu; Xiaojun Niu; Mengchen Zhang; Caihong Wang; Qun Xu; Yue Feng; Yaolong Yang; Shan Wang; Xiaoping Yuan; Hanyong Yu; Yiping Wang; Xiaoping Chen; Xuanqiang Liang; Xinghua Wei

Seed dormancy is an important agronomic trait affecting grain yield and quality because of pre-harvest germination and is influenced by both environmental and genetic factors. However, our knowledge of the factors controlling seed dormancy remains limited. To better reveal the molecular mechanism underlying this trait, a genome-wide association study was conducted in an indica-only population consisting of 453 accessions genotyped using 5,291 SNPs. Nine known and new significant SNPs were identified on eight chromosomes. These lead SNPs explained 34.9% of the phenotypic variation, and four of them were designed as dCAPS markers in the hope of accelerating molecular breeding. Moreover, a total of 212 candidate genes was predicted and eight candidate genes showed plant tissue-specific expression in expression profile data from different public bioinformatics databases. In particular, LOC_Os03g10110, which had a maize homolog involved in embryo development, was identified as a candidate regulator for further biological function investigations. Additionally, a polymorphism information content ratio method was used to screen improvement footprints and 27 selective sweeps were identified, most of which harbored domestication-related genes. Further studies suggested that three significant SNPs were adjacent to the candidate selection signals, supporting the accuracy of our genome-wide association study (GWAS) results. These findings show that genome-wide screening for selective sweeps can be used to identify new improvement-related DNA regions, although the phenotypes are unknown. This study enhances our knowledge of the genetic variation in seed dormancy, and the new dormancy-associated SNPs will provide real benefits in molecular breeding.


Frontiers in Plant Science | 2018

Divergent Hd1, Ghd7, and DTH7 Alleles Control Heading Date and Yield Potential of Japonica Rice in Northeast China

Jing Ye; Xiaojun Niu; Yaolong Yang; Shan Wang; Qun Xu; Xiaoping Yuan; Hanyong Yu; Yiping Wang; Shu Wang; Yue Feng; Xinghua Wei

The heading date is a vital factor in achieving a full rice yield. Cultivars with particular flowering behaviors have been artificially selected to survive in the long-day and low-temperature conditions of Northeast China. To dissect the genetic mechanism responsible for heading date in rice populations from Northeast China, association mapping was performed to identify major controlling loci. A genome-wide association study (GWAS) identified three genetic loci, Hd1, Ghd7, and DTH7, using general and mixed linear models. The three genes were sequenced to analyze natural variations and identify their functions. Loss-of-function alleles of these genes contributed to early rice heading dates in the northern regions of Northeast China, while functional alleles promoted late rice heading dates in the southern regions of Northeast China. Selecting environmentally appropriate allele combinations in new varieties is recommended during breeding. Introducing the early indica rice’s genetic background into Northeast japonica rice is a reasonable strategy for improving genetic diversity.


Journal of Plant Pathology | 2015

ASSESSMENT OF A FUNCTIONAL MARKER FOR BACTERIAL BLIGHT RESISTANCE GENE LOCUS Xa 27 IN RICE

Ping Yu; X.M. Wang; Xiaoping Yuan; Caihong Wang; Qun Xu; Yue Feng; Hanyong Yu; Yiping Wang; X.H. Wei

The bacterial blight gene locus Xa 27 in rice has two striking differences in the presumed promoter-raised resistant/susceptible allele expression. We used a functional marker targeting the 25 deletion at 18 bp upstream of the putative TATA box and assayed the allelic status at Xa 27 in 572 rice genotypes. The alleles evaluation obtained from 191 cultivars tested may contribute to little information of the resistance specificity associated with allele diversity. The allele frequency associated with complete resistance in the indica was different from that associated with complete resistance in the japonica.


Journal of Zhejiang University-science B | 2018

PGL3 is required for chlorophyll synthesis and impacts leaf senescence in rice

Jing Ye; Yaolong Yang; Xinghua Wei; Xiaojun Niu; Shan Wang; Qun Xu; Xiaoping Yuan; Hanyong Yu; Yiping Wang; Yue Feng; Shu Wang

Rice leaf color mutants play a great role in research about the formation and development of chloroplasts and the genetic mechanism of the chlorophyll (Chl) metabolism pathway. pgl3 is a rice leaf color mutant derived from Xiushui11 (Oryza sativa L. spp. japonica), treated with ethyl methane sulfonate (EMS). The mutant exhibited a pale-green leaf (pgl) phenotype throughout the whole development as well as reduced grain quality. Map-based cloning of PGL3 revealed that it encodes the chloroplast signal recognition particle 43 kDa protein (cpSRP43). PGL3 affected the Chl synthesis by regulating the expression levels of the Chl synthesis-associated genes. Considerable reactive oxygen species were accumulated in the leaves of pgl3, and the transcription levels of its scavenging genes were down-regulated, indicating that pgl3 can accelerate senescence. In addition, high temperatures could inhibit the plant’s growth and facilitate the process of senescence in pgl3.概 要目 的研究 PGL3 的遗传机制与生物学功能。创新点研究一个水稻叶色突变体的鉴定与基因克隆, 并探讨其对叶绿素合成和叶片衰老的影响。方 法通过乙基甲磺酸 (EMS) 诱变, 获得了一个淡绿叶突变体 pgl3, 运用图位克隆法对 PGL3 进行定位, 并对 PGL3 的功能进行研究。结 论PGL3 通过调节叶绿素合成相关基因的表达水平影响叶绿素合成。 pgl3 叶片中清除活性氧基因转录水平下调, 导致活性氧大量积累, 表明pgl3 可以加速衰老。 此外, 高温可以抑制植物的生长并加速pgl3 衰老。


Journal of Plant Pathology | 2016

SEQUENCE VARIATIONS AND HAPLOTYPES OF THE BACTERIAL BLIGHT RESISTANCE GENE xa13 IN RICE

Ping Yu; X.M. Wang; Xiaoping Yuan; Caihong Wang; Qun Xu; Yue Feng; Hanyong Yu; Yiping Wang; X.H. Wei

The sequence variation diversity in the rice bacterial blight (BB) resistance locus xa13 was evaluated in 217 rice cultivars in this study. On the basis of 51 polymorphic sites in the promoter region, eighteen distinct haplotype groups were detected, with a haplotype diversity of 0.642. A 252 bp insertion in the −69 bp to −86 bp region of the promoter is useful for association with BB resistance. Six haplotype groups were developed from the five SNPs in the xa13 gene coding region. Alignment of the deduced amino acid sequences supported the existence of two XA13 protein haplotypes. The haplotypes of xa13 did not segregate in japonica and indica, the natural occurring alleles of xa13 had no independent origins in the two subspecies.

Collaboration


Dive into the Hanyong Yu's collaboration.

Top Co-Authors

Avatar
Top Co-Authors

Avatar
Top Co-Authors

Avatar
Top Co-Authors

Avatar
Top Co-Authors

Avatar
Top Co-Authors

Avatar
Top Co-Authors

Avatar
Top Co-Authors

Avatar
Top Co-Authors

Avatar
Top Co-Authors

Avatar
Researchain Logo
Decentralizing Knowledge