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| 1 | Breeding wheat for resistance to Fusarium head blight in the Global North: China, USA, and Canada显示文摘The objective of this paper is to review progress made in wheat breeding for Fusarium head blight(FHB) resistance in China, the United States of America(USA), and Canada. In China,numerous Chinese landraces possessing high levels of FHB resistance were grown before the 1950 s. Later, pyramiding multiple sources of FHB resistance from introduced germplasm such as Mentana and Funo and locally adapted cultivars played a key role in combining satisfactory FHB resistance and high yield potential in commercial cultivars.Sumai 3, a Chinese spring wheat cultivar, became a major source of FHB resistance in the USA and Canada, and contributed to the release of more than 20 modern cultivars used for wheat production, including the leading hard spring wheat cultivars Alsen, Glenn, Barlow and SY Ingmar from North Dakota, Faller and Prosper from Minnesota, and AAC Brandon from Canada. Brazilian wheat cultivar Frontana, T. dicoccoides and other local germplasm provided additional sources of resistance. The FHB resistant cultivars mostly relied on stepwise accumulation of favorable alleles of both genes for FHB resistance and high yield,with marker-assisted selection being a valuable complement to phenotypic selection. With the Chinese Spring reference genome decoded and resistance gene Fhb1 now cloned, new genomic tools such as genomic selection and gene editing will be available to breeders, thus opening new possibilities for development of FHB resistant cultivars. | Zhanwang Zhu Yuanfeng Hao Mohamed Mergoum Guihua Bai Gavin Humphreys Sylvie Cloutier Xianchun Xia Zhonghu He | 2019 | The Crop Journal2019,7,6: | 12 |
| 2 | High-Resolution Genome-wide Association Study Identifies Genomic Regions and Candidate Genes for Important Agronomic Traits in Wheat显示文摘Wheat(Triticum aestivum)is a major staple food crop worldwide.Genetic dissection of important agronomic traits is essential for continuous improvement of wheat yield to meet the demand of the world's growing population.We conducted a large-scale genome-wide association study(GWAS)using a panel of 768 wheat cultivars that were genotyped with 327609 single-nucleotide polymorphisms generated by genotyping-by-sequencing and detected 395 quantitative trait loci(QTLs)for 12 traits under 7 environments.Among them,273 QTLs were delimited to≤1.0-Mb intervals and 7 of them are either known genes(Rht-D,Vrn-B1,and Vrn-D1)that have been cloned or known QTLs(TaGA2ox8,APO1,TaSus1-7B,and Rht12)that were previously mapped.Eight putative candidate genes were identified for three QTLs that enhance spike seed setting and grain size using gene expression data and were validated in three bi-parental populations.Protein sequence analysis identified 33 putative wheat orthologs that have high identity with rice genes in QTLs affecting similar traits.Large r^2 values for additive effects observed among the QTLs for most traits indicated that the phenotypes of these identified QTLs were highly predictable.Results from this study demonstrated that significantly increasing GWAS population size and marker density greatly improves detection and identification of candidate genes underlying a QTL,solidifying the foundation for large-scale QTL fine mapping,candidate gene validation,and developing functional markers for genomics-based breeding in wheat. | Yunlong Pang Chunxia Liu Danfeng Wang Paul St.Amand Amy Bernardo Wenhui Li Fang He Linzhi Li Liming Wang Xiufang Yuan Lei Dong Yu Su Huirui Zhang Meng Zhao Yunlong Liangi Hongze Jia Xitong Shen Yue Lu Hongming Jiang Yuye Wu Anfei Li Honggang Wang Lingrang Kong Guihua Bai Shubing Liu | 2020 | Molecular Plant2020,13,9: | 8 |
| 3 | Quantitative trait loci for Fusarium head blight resistance in wheat cultivars Yangmai 158 and Zhengmai 9023显示文摘Fusarium head blight(FHB)is one of the prevalent fungal diseases of wheat worldwide.Exploring new FHB resistance quantitative trait loci(QTL)in adapted wheat cultivars is a critical step for breeding new FHB-resistant cultivars.In this study,we developed a population of 236 F5:7 recombinant inbred lines(RILs)using two popular Chinese wheat cultivars,Yangmai 158 and Zhengmai 9023,with moderate FHB resistance to identify the QTL for FHB type II resistance.This population was evaluated for percentage of symptomatic spikelets per spike(PSS)using single floret injection in repeated greenhouse experiments.Mean PSSs were 33.2%for Yangmai 158 and 30.3%for Zhengmai 9023.A genetic linkage map of 1002 single nucleotide polymorphisms(SNPs)generated by genotyping-by-sequencing(GBS)was constructed for the RIL population.Six QTL were identified for FHB resistance,and three of them were repeatable in the both experiments.Zhengmai 9023 contributed the resistance allele at one repeatable QTL,designated as Qfhb.7D,whereas Yangmai 158 contributed the resistance alleles at the other two repeatable QTL,Qfhb.3AL and Qfhb.2DS.The additional QTL,Qfhb.4AS was significant in the mean PSS,and Qfhb.2DL and Qfhb.7AS were significant in only one experiment.Replacement of each allele individually at the three repeatable QTL significantly changed PSSs.Qfhb.3AL,Qfhb.2DS,and Qfhb.7D explained 8.35%to 9.89%,5.13%to 7.43%,and 6.15%to 9.32%of the phenotypic variations,respectively.The three repeatable QTL contributed by the two parents were additive and stacking the resistance alleles from all the three repeatable QTL showed the highest level of resistance in the current RIL population.Ten SNPs in the QTL regions of Qfhb.3AL,Qfhb.2DS,and Qfhb.7D were converted into KBioscience competitive allele-specific PCR(KASP)assays.One KASP marker for Qfhb.3AL was validated in a panel of wheat cultivars from China.Some of these KASP markers could be useful for marker-assisted selection to stack these QTL. | Pingping Zhang Chenjin Guo Zhao Liu Amy Bernardo Hongxiang Maa Hongxiang Ma Peng Jiang Guicheng Song Guihua Bai | 2021 | The Crop Journal2021,9,1: | 8 |
| 4 | A natural variation in Ribonuclease H-like gene underlies Rht8 to confer“Green Revolution”trait in wheat显示文摘Dear Editor,Introduction of gibberellin(GA)-insensitive Reduced height(Rht)genes,Rht-B1b and Rht-D1b,has resulted in the“Green Revolution”in modern wheat cultivars(Triticum aestivum)that has skyrocketed wheat grain yields worldwide since the 1960s(Peng et al.,1999;Velde et al.,2021).However,Rht-B1b/D1b also reduce coleoptiles,which is undesired in dryland regions where deep planting is essential for seedling establishment(Rebetzke et al.,1999,Rebetzke et al.,2001;Ellis et al.,2004). | Lingling Chai Mingming Xin Chaoqun Dong Zhaoyan Chen Huijie Zhai Junhong Zhuang Xuejiao Cheng Naijiao Wang Jia Geng Xiaobo Wang Ruolin Bian Yingyin Yao Weilong Guo Zhaorong Hu Huiru Peng Guihua Bai Qixin Sun Zhenqi Su Jie Liu Zhongfu Ni | 2022 | Molecular Plant2022,15,3: | 8 |
| 5 | Integration of meta-QTL discovery with omics: Towards a molecular breeding platform for improving wheat resistance to Fusarium head blight显示文摘Fusarium head blight(FHB) is a global wheat disease that devastates wheat production. Resistance to FHB spread within a wheat spike(type Ⅱ resistance) and to mycotoxin accumulation in infected kernel(type Ⅲ resistance) are the two main types of resistance. Of hundreds of QTL that have been reported, only a few can be used in wheat breeding because most show minor and/or inconsistent effects in different genetic backgrounds. We describe a new strategy for identifying robust and reliable meta-QTL(mQTL)that can be used for improvement of wheat FHB resistance. It involves integration of mQTL analysis with mQTL physical mapping and identification of single-copy markers and candidate genes. Using metaanalysis, we consolidated 625 original QTL from 113 publications into 118 genetic map-based mQTL(gmQTL). These gmQTL were further located on the Chinese Spring reference sequence map. Finally, 77 high-confidence mQTL(hcmQTL) were selected from the reference sequence-based mQTL(smQTL).Locus-specific single nucleotide polymorphism(SNP) and simple sequence repeat(SSR) markers and17 genes responsive to FHB were then identified in the hcmQTL intervals by combined analysis of transcriptomic and proteomic data. This work may lead to a comprehensive molecular breeding platform for improving wheat resistance to FHB. | Tong Zheng Chen Hua Lei Li Zhengxi Sun Minmin Yuan Guihua Bai Gavin Humphreys Tao Li | 2021 | The Crop Journal2021,9,4: | 4 |
| 6 | High-throughput development of genome-wide locus-specific informative SSR markers in wheat显示文摘Dear Editor,Although simple sequence repeat(SSR)markers are not new,they are still useful and often used markers in molecular mapping and marker-assisted breeding,particularly in developing countries.However,locus-specific SSR markers could be more useful and informative in wheat breeding and genetic studies.In the present study,221,911 locus-specific SSR markers were designed.Verification of polymorphisms showed that the proportion of polymorphic markers increases with an increase in SSR size.Evaluation of the | Lei Li Fayu Sun Di Wu Fei Zhen Guihua Bai Derong Gao Tao Li | 2017 | Science China(Life Sciences)2017,60,6: | 4 |
| 7 | Development and identification of a dwarf wheat-Leymus mollis double substitution line with resistance to yellow rust and Fusarium head blight显示文摘Leymus mollis (Trin.) Pilger (2n = 4x = 28, NsNsXmXm,), a wild relative of common wheat, possesses many potentially valuable traits for genetic improvement of wheat, including strong, short stems, long spikes with numerous spikelets, tolerance to drought and cold stresses, and resistance to many fungal and bacterial diseases. In the present study, a wheat-L. mollis double substitution line DM96 was selected from a F6 progeny of a cross between M842-16 (an octoploid Tritileymus line) and D4286 (a Triticum durum line) using genomic in situ hybridization (GISH), simple sequence repeat (SSR) markers, and expressed sequence tagged sequence site (EST-STS) markers. Chromosome analysis at mitosis and meiosis showed that DM96 had a chromosome constitution of 2n = 42 = 21II. GISH analysis indicated that DM96 carried 38 chromosomes from wheat and two homologous pairs of Ns chromosomes from L. mollis. Fluorescent in situ hybridization (FISH) showed that chromosomes 2Ns and 3Ns from L. mollis had replaced wheat chromosomes 2D and 3D in DM96, which was confirmed by SSR and STS markers. The newly developed substitution line DM96 has shorter height, longer spikes and more kernels than its parents and showed high resistance to stripe rust and Fusarium head blight (FHB). Thus, this line is a new bridge material for the production of useful translocation lines for wheat genetic research and genetic improvement of wheat yield and disease resistance in breeding programs. | Jixin Zhao Yang Liu Xueni Cheng Yuhui Pang Jiachuang Li Zhenqi Su Jun Wu Qunhui Yang Guihua Bai Xinhong Chen | 2019 | The Crop Journal2019,7,4: | 2 |
| 8 | Identification of powdery mildew resistance loci in wheat by integrating genome-wide association study(GWAS) and linkage mapping显示文摘Wheat powdery mildew(Blumeria graminis f.sp.tritici, Bgt) is a disease of increasing importance globally due to the adoption of high yielding varieties and modern sustainable farming technologies.Growing resistant cultivars is a preferred approach to managing this disease, and novel powdery mildew resistance genes are urgently needed for new cultivar development.A genome-wide association study was performed on a panel of 1292 wheat landraces and historical cultivars using 5011 single nucleotide polymorphism(SNP)markers.The association panel was evaluated for reactions to three Bgt inoculants, OKS(14)-B-3-1, OKS(14)-C-2-1, and Bgt15.Linkage disequilibrum(LD) analysis indicated that genome-wide LD decayed to 0.1 at 23 Mb, and population structure analysis revealed seven subgroups in the panel.Association analysis using a mixed linear model(MLM) identified three loci for powdery mildew resistance on chromosome 2 B, designated QPm.stars-2BL1,QPm.stars-2BL2, and QPm.stars-2BL3.To evaluate the efficacy of GWAS in gene discovery,QPm.stars-2BL2 was validated using F2 and F2:3 populations derived from PI420646 × OK1059060-126135-3.Linkage analysis delimited the powdery mildew resistance gene in PI 420646 to an interval where QPm.stars-2BL2 was located, lending credence to the GWAS results.QPm.stars-2BL1 and QPm.stars-2BL3, which were associated with four SNPs located at 457.7–461.7 Mb and two SNPs located at 696.6–715.9 Mb in the Chinese Spring reference IWGSC RefSeq v1.0, respectively, are likely novel loci for powdery mildew resistance and can be used in wheat breeding to improve powdery mildew resistance. | Genqiao Li Xiangyang Xu Chengcheng Tan Brett F.Carver Guihua Bai Xuewen Wang J.Michael Bonman Yanqi Wu Robert Hunger Christina Cowger | 2019 | The Crop Journal2019,7,3: | 2 |
| 9 | Meta-analysis of QTL for Fusarium head blight resistance in Chinese wheat landraces显示文摘Epidemics of Fusarium head blight(FHB), incited by Fusarium graminearum Schwabe, in wheat cause significant reductions in grain yield and quality. Numerous quantitative trait loci(QTL) for FHB resistance have been reported from Chinese sources. However, the relationships among QTL from different landraces have not been characterized. We earlier mapped QTL for FHB resistance using low-density maps developed from five recombinant inbred line(RIL) populations involving Chinese landraces ‘Haiyanzhong’(HYZ),‘Wangshuibai’(WSB), ‘Baishanyuehuang’(BSYH), ‘Huangfangzhu’(HFZ), and‘Huangcandou’(HCD) as FHB resistant parents. In this study, we used maps of single nucleotide polymorphisms(SNP) developed from the five populations and identified 31 QTL on 16 chromosomes;10 QTL were new. We constructed a consensus map and identified six meta-QTL(MQTL) and SNP within the MQTL regions using meta-analysis. Two of the MQTL were on chromosome 3 BS(3 BSd and 3 BSc), and one on each of chromosomes 3A, 2D, 3D,and 4D. Twenty-two SNP closely linked to MQTL were converted into breeder friendly Kompetitive Allele Specific Polymerase Chain Reaction(KASP) assays, which should be useful for marker-assisted selection in breeding programs. | Jin Cai Shan Wang Zhenqi Su Tao Li Xianghui Zhang Guihua Bai | 2019 | The Crop Journal2019,7,6: | 2 |
| 10 | Cellular prion protein released on exosomes from macrophages binds to Hsp70显示文摘Prion 疾病是传染、致命的 neurodegenerative 混乱。变换成 prion 蛋白质(PrPSc ) 的错误褶层 isoform 的细胞的 prion 蛋白质(PrPC ) 为 prion 疾病感染负责。免疫系统在从圆周便于 prion 感染的传播到中央神经系统起一个重要作用。巨噬细胞被认为与 PrPSc 的交通和复制联系了。那么,在巨噬细胞理解 PrPC trafficking 是重要的为 PrPSc 探索运输机制。这里,我们从 Ana-1 巨噬细胞房间线的文化媒介孤立 exosomes 并且由西方的弄污, immunoelectron 显微镜学,和 co-immunoprecipitation 在分泌 exosomes 由 exosomes 和和 Hsp70 的 PrPC 的相互作用调查了 PrPC trafficked。结果证明从巨噬细胞的文化媒介的孤立的泡被 exosomes 和讨厌的人 PrPC 描绘。并且 PrPC 在细胞内部的环境两个都跳了到 Hsp70 并且分泌了 exosomes。相反, PrPC 没与 exosomes, Tag101 和 Flotillin-1 的标记蛋白质有相互作用。这些结果建议在细胞外的空间在场的 PrPC 可能是通过从巨噬细胞的分泌 exosomes 的 externalized,并且 Hsp70 可以在经由分泌 exosomes 释放的 PrPC 的过程起作用。 | Guihua Wang Xiangmei Zhou Yu Bai Zhongqiu Zhang Deming Zhao | 2010 | Acta Biochimica et Biophysica Sinica2010,42,5: | 2 |
| 11 | 与小麦赤霉病抗性紧密连锁的基于AFLP片段的STS标记开发(英文)显示文摘DNA序列标签位点(STS)是一个操作简便和花费低的分子标记体系,将与某一性状密切连锁的AFLP(扩增片段长度多态性)片段转换成STS标记可直接用于分子育种工作中.本研究利用Ning 7840和Clark的重组自交系及AFLP技术,探测到一个与小麦赤霉病抗性紧密连锁的坐落在染色体3BS的主效数量特性位点(QTL),发现5个PstI-AFLP片段与该QTL显著关联;其中2个片段与赤霉病抗性达到50%左右的表型变异解析度,一个为35个碱基的相引相片段,另一个为222个碱基的相斥相片段.222个碱基的DNA片段被克隆和测序,发现11个克隆中含有5种不同的DNA序列,其中一种序列在5个克隆中完全一致,该序列被用来作为设计STS标记的DNA模板.经多次实验,开发出了一个共显性STS标记.该STS标记与原222个碱基的AFLP片段谱带(banding pattern)完全一致,具有鉴别小麦育种材料赤霉病抗病强弱和加速抗病育种进程的潜力. | 郭培国 Guihua Bai 李荣华 缪绅裕 Dina El-Khishin 陶文琴 陈建辉 谢国文 郑燕玲 | 2009 | 广州大学学报(自然科学版)2009,8,1: | 1 |
| 12 | Scab of wheat: prospects for control 显示文摘 | Bai Guihua Shaner G | 1994 | Plant Disease1994,78,8: | 1 |
| 13 | Management and resistance in wheat and barley to Fusarium head blight 显示文摘 | Bai Guihua Shaner G | 2004 | Annual Review of Phytopathology2004,42,: | 1 |
| 14 | A combination of leaf rust resistance gene Lr34 and lesion mimic gene lm significantly enhances adult plant resistance to Puccinia triticina in wheat显示文摘Leaf rust caused by Puccinia triticina is an economically-important disease in wheat worldwide.A combination of different types of resistance genes may significantly enhance rust resistance under rust-favorable conditions.To investigate the interactions between the rust resistance gene Lr34 and the lesion mimic gene lm on 1BL in Ning 7840,a segregating F8-10 population of 180 recombinant inbred lines was developed from Ning 7840/Chokwang and evaluated for both lesion mimic expression and leaf rust response at the adult plant stage in a greenhouse.A major quantitative trait locus(QTL),derived from Sumai 3,was co-localized with Lr34 on chromosome 7D and explained 41.5% of phenotypic variations for rust severity and 22.1% for leaf tip necrosis(LTN).The presence of Lr34 was confirmed by Lr34-specific markers cssfr1 and cssfr2 in Ning 7840 and Sumai 3.Unlike Lr34,lm conditioned a spontaneous lesion mimic phenotype and had a significant effect on reducing uredinial size,and a smaller effect on severity.Additive effects were observed between lm and Lr34 for severity and LTN,and an epistatic effect was observed for infection type.Single marker analysis also identified several other QTL with minor effects on severity,infection type,or LTN. | LI Tao BAI GuiHua GU ShiLiang | 2012 | Chinese Science Bulletin2012,57,17: | 1 |
| 15 | MANAGEMENT AND RESISTANCE IN WHEAT AND BARLEY TO FUSARIUM HEAD BLIGHT1显示文摘 | Guihua Bai Gregory Shaner | 2004 | Annual Review of Phytopathology2004,,: | 1 |
| 16 | Molecular mapping of wheat leaf rust resistance gene Lr42 显示文摘 | Xiaochun Sun Guihua Bai Brett F | 2010 | Crop Science2010,50,: | 1 |
| 17 | 用基因芯片技术分析铝胁迫下小麦的基因表达谱(英文)显示文摘目的:采用基因表达谱分析方法,探讨小麦耐铝的分子机理。方法:利用抑制消减杂交(SSH)技术,以小麦的铝敏感品种Chisholm及其耐铝近等基因系Chisholm-T(其耐铝性来自小麦品种Atlas66)的根尖为材料,构建了2个铝胁迫后的SSHcDNA文库,共含有1628个表达序列标签(EST),利用这些EST制作了小麦根系的cDNA基因芯片。以cDNA基因芯片为平台,在铝胁迫后6h、1d、3d和7d,分别比较Chisholm和Chisholm-T之间的基因表达谱差异。结果:在各个时间点,耐铝和不耐铝小麦材料之间约有5%的EST表现出差异表达。对所有差异表达的EST进行测序分析,序列数据经Pipe-Online2.0进行毗连序列群(contig)拼接,发现只有8.3%的重复序列。结论:SSH是一种非常有效的差减和均一化的建库方法。对有功能注释的差异表达基因进行功能分类分析,表明这些基因参与了植物体内的电子传递、信号传导、植物保护和次生物质的代谢活动。 | 李荣华 郭培国 Guihua Bai Patricia Ayoubi | 2007 | 生物技术通讯2007,18,4: | 1 |
| 18 | Single nucleotide polymorphisms linked to quantitative trait loci for grain quality traits in wheat显示文摘Wheat(Triticum aestivum L.) grain quality traits that are controlled by quantitative traits loci(QTL) define suitable growing areas and potential end-use products of a wheat cultivar. To dissect QTL for these traits including protein content(GPC); test weight(TW); single kernel characterization system(SKCS)-estimated kernel weight(SKW); kernel diameter(KD);kernel hardness measured by near-infrared reflectance spectroscopy(NIRS) hardness index(NHI); and SKCS-hardness index(SHI), a high-density genetic map with single nucleotide polymorphism(SNP) and simple sequence repeat(SSR) markers was developed using recombinant inbred lines(RILs) derived from Ning7840 × Clark. The RILs were evaluated for these quality traits in seven Oklahoma environments from 2001 to 2003. A total of 41 QTL with additive effects on different traits were mapped on most wheat chromosomes,excluding 1A, 2A, 3D, 4D, 6D, and 7B. Seven chromosome regions showed either tightly linked QTL or QTL with pleiotropic effects on two to four traits. Ten pairs of QTL showed additive × additive effects(AA), four QTL were involved in additive × environment(AE)effects, and one was involved in AAE effects. Two to eleven QTL for each of the six traits and139 tightly linked markers to these QTL were identified. The findings shed light on the inheritance of wheat grain quality traits and provide DNA markers for manipulating these important traits to improve quality of new wheat cultivars. | Chunlian Li Guihua Bai Shiaoman Chao Brett Carver Zhonghua Wang | 2016 | The Crop Journal2016,4,1: | 1 |
| 19 | Molecular characterization of Fusarium head blight resistance from wheat variety Wangshuibai显示文摘 | Xu Zhang Miaoping Zhou Lijuan Ren Guihua Bai Hongxiang Ma Olga E Scholten Peiguo Guo Weizhong Lu | 2004 | Euphytica2004,,1: | 1 |
| 20 | Mapping quantitative trait loci for quality factors in an inter-class cross of US and Chinese wheat显示文摘 | Xiaochun Sun Felix Marza Hongxiang Ma Brett F. Carver Guihua Bai | 2010 | Theoretical and Applied Genetics2010,,5: | 1 |