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29篇 您的检索式:作者名="Junyi Gai"
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1Verification and fine-mapping of QTLs conferring days to flowering in soybean using residual heterozygous lines显示文摘The results of QTL mapping based on a primary mapping population should be further verified and refined for its real utilization in marker-assisted selection or map-based cloning.The primary mapping population contains 114 BC1F1 plants of the backcross between Essex (maturity group V,MG V) as the donor parent and ZDD2315 (MG II) as the recurrent parent.In this study,a genetic linkage map with 250 SSR markers spanning a total length of 2963.5 cM on 25 linkage groups (LG) was constructed using software MAPMAKER3.0.Six kinds of genetic statistical models of 4 softwares,i.e.WinQTL Cartographer Version 2.5,IciMapping Version 2.0,MapQTL Version 5.0 and QTLnetwork Version 2.0,were used to map QTLs conferring days to flowering of the BC1F3 lines.Nine QTLs were mapped on 6 different linkage groups (LG).Of those,6 QTLs were detected by at least two different genetic statistical models,while the other three were detected by only one procedure.Among the three QTLs,Flwdt7 was mapped between Sat_213 and Satt643 on LG C2 with only 11.0% contribution rate.For confirmation of Flwdt7,5 RHL populations were developed through selfing eight BC1F5 plants heterozygous at seven markers around the locus.The RHL populations with the same segregating loci were bulked and used to construct a secondary linkage map of the specific segment using software JoinMap 3.0.The genetic distances among the markers on the specific segment became shorter than those of the whole genome map.On the secondary map,Flwdt7 was mapped between Satt277 and Satt489,next to its primary interval Sat_213-Satt643,with distance 1.40 cM to Satt277 and 0.45 cM to Satt489,confidence interval narrowed to 2.7 cM,and contribution rate increased to 36.8%.The results were confirmed with significance analysis among marker genotypes on individual loci and comparison analysis of target marker intervals among near isogenic lines (plants).Thus the strategy by using residual heterozygous lines for QTL fine-mapping on target segments based on primary whole genome scanning with multiple mapping models was demonstrated to be effective.SU ChengFu LU WeiGuo ZHAO TuanJie GAI JunYi 2010Chinese Science Bulletin2010,55,6:6
2A new distinct geminivirus causes soybean stay-green disease显示文摘Dear Editor,Plant viruses make up almost half of the plant disease-causing pathogens,affecting crop yields and the global economy(Savary et al.,2019).Soybean(Glycine max)is one of the most valuable legume crops in the world,supplying 25%of the global edible oil and two-thirds of the global concentrated protein for livestock feeding.Recently,the outbreak of soybean stay-green syndrome with delayed leaf senescence(stay-green),flat pods,and increased number of abnormal seeds has swept the soybean production in the Huang-Huai-Hai region of China,resulting in huge yield losses(Xu et al.,2019).This disease has become an epidemic and prominent problem in soybean production and is still expanding its geography,including North America,posing a serious threat to soybean production(Harbach et al.,2016;Zhang et al.,2016;Li et al.,2019).However,the cause of soybean stay-green syndrome remains obscure.Ruixiang Cheng Ruoxin Mei Rong Yan Hongyu Chen Dan Miao Lina Cai Jiayi Fan Gairu Li Ran Xu Weiguo Lu Yu Gao Wenwu Ye Shuo Su Tianfu Han Junyi Gai Yuanchao Wang Xiaorong Tao Yi Xu 2022Molecular Plant2022,15,6:6
3Genetic diversity,geographic differentiation and evolutionary relationship among ecotypes of Glycine max and G. soja in China显示文摘The knowledge of origin and evolution of cultivated soybeans is one of the basic issues in both biology and agronomy of the crop. In order to investigate the nuclear and cytoplasmic genetic diversity, geographic differentiation and genetic relationship among geographic ecotypes of cultivated (Glycine max) and wild (G. soja) soybeans, the allelic profiles at 60 nuclear simple-sequence repeat (nuSSR) loci and 11 chloroplastic SSR (cpSSR) loci evenly distributed on whole genome of 393 landraces and 196 wild accessions from nation-wide growing areas in China were analyzed. (i) The genetic diversity of the wild soybean was obviously larger than that of the cultivated soybean, with their nuSSR and cpSSR alleles as 1067 vs. 980 and 57 vs 44, respectively. Of the 980 nuclear alleles detected in the cultivated soybean, 377 new ones (38.5%) emerged, while of the 44 chloroplastic alleles in the cultivated soybean, seven new ones (15.9%) emerged after domestication. (ii) Among the cultivated geographic ecotypes, those from southern China, including South-Central China, Southwest China and South China possessed relatively great genetic diversity than those from northern China, while among the wild geographic ecotypes, the Middle and Lower Changjiang Valleys wild ecotype showed the highest genetic diversity. (iii) The analysis of molecular variance, association analysis between geographic grouping and molecular marker clustering and analysis of specific-present alleles of ecotypes demonstrated that the geographic differentiation of both cultivated and wild soybeans associated with their genetic differentiation, or in other words, had their relevant genetic bases. (iv) The cluster analysis of all accessions clearly showed that the wild accessions from Middle and Lower Changjiang Valleys and South-Central & Southwest China had relatively small genetic distances with all cultivated accessions. The UPGMA dendrogram among geographic ecotypes further showed that the genetic distances between all cultivated ecotypes and the Middle and Lower Changjiang Valleys wild ecotype were smaller than those with other wild ones, including their local wild counterparts. Therefore, it is inferred that the wild ancestors in southern China, especially those from Middle and Lower Changjiang Valleys might be the common ancestor of all the cultivated soybeans.WEN ZiXiang, ZHAO TuanJie, DING YanLai & GAI JunYi Soybean Research Institute of Nanjing Agricultural University National Center for Soybean Improvement National Key Laboratory for Crop Genetics and Germplasm Enhancement, Nanjing 210095, China 2009Chinese Science Bulletin2009,54,23:5
4Exploration of presence/absence variation and corresponding polymorphic markers in soybean genome显示文摘This study was designed to reveal the genome‐wide distribution of presence/absence variation(PAV) and to establish a database of polymorphic PAV markers in soybean. The 33 soybean whole‐genome sequences were compared to each other with that of Williams 82 as a reference genome. A total of 33,127 PAVs were detected and 28,912 PAV markers with their primer sequences were designed as the database NJAUSoyPAV_1.0. The PAVs scattered on whole genome while only 518(1.8%) overlapped with simple sequence repeats(SSRs) in BARCSOYSSR_1.0database. In a random sample of 800 PAVs, 713(89.13%) showed polymorphism among the 12 differential genotypes. Using 126 PAVs and 108 SSRs to test a Chinese soybean germplasm collection composed of 828 Glycine soja Sieb. et Zucc. and Glycine max(L.) Merr. accessions, the per locus allele number and its variation appeared less in PAVs than in SSRs. The distinctness among alleles/bands of PCR(polymerase chain reaction) products showed better in PAVs than in SSRs, potential in accurate marker‐assisted allele selection. The association mapping results showed SSR t PAV was more powerful than any single marker systems.The NJAUSoyPAV_1.0 database has enriched the source of PCR markers, and may fit the materials with a range of per locus allele numbers, if jointly used with SSR markers.Yufeng Wang Jiangjie Lu Shouyi Chen Liping Shu Reid G.Palmer Guangnan Xing Yan Li Shouping Yang Deyue Yu Tuanjie Zhao Junyi Gai 2014Journal of Integrative Plant Biology2014,56,10:5
5Mapping Quantitative Trait Loci Associated with Aluminum Toxin Tolerance in NJRIKY Recombinant Inbred Line Population of Soybean (Glycine max)显示文摘To investigate the genetic mechanism of Al-tolerance in soybean, a recombinant inbred line population (RIL) with 184 F2:7:11 lines derived from the cross of Kefeng No.1 × Nannong 1138-2 (Al-tolerant × Al-sensitive) were tested in pot experiment with sand culture medium in net room in Nanjing. Four traits, i.e. plant height, number of leaves, shoot dry weight and root dry weight at seedling stage, were evaluated and used to calculate the average membership index (FAi) as the indicator of Al-tolerance. The composite interval mapping (CIM) under WinQTL Cartographer v. 2.5 detected five QTLs (i.e. qFAi-1, qFAi- 2, qFAi-3, qFAi-4 and qFAi-5), explaining 5.20%-9.07% of the total phenotypic variation individually. While with the multiple interval mapping (MIM) of the same software, five QTLs (qFAi-1, qFAi-5, qFAi-6, qFAi-7, and qFAi-8) explaining 5.7%-24.60% of the total phenotypic variation individually were mapped. Here qFAi-1 and qFAi-5 were detected by both CIM and MIM with the locations in a same ?anking marker region, GMKF046-GMKF080 on B1 and satt278-sat_95 on L, respectively. While qFAi-2 under CIM and qFAi-6 under MIM both on D1b2 were located in neighboring regions with their confidence intervals overlapped and might be the same locus. Segregation analysis under major gene plus polygene inheritance model showed that Al-tolerance was controlled by two major genes (h2mg = 33.05%) plus polygenes (h2pg = 52.73%). Both QTL mapping and segregation analysis confirmed two QTLs responsible for Al-tolerance with relatively low heritability, and there might be a third QTL, confounded with the polygenes in segregation analysis.Bo Qi Paul Korir Tuanjie Zhao Deyue Yu Shouyi Chen Junyi Gai 2008Journal of Integrative Plant Biology2008,50,9:4
6Detecting the QTL-allele system controlling seed-flooding tolerance in a nested association mapping population of soybean显示文摘Soil flooding stress,including seed-flooding,is a key issue in soybean production in highrainfall and poorly drained areas.A nested association mapping(NAM)population comprising 230 lines of two recombinant inbred line(RIL)populations with a common parent was established and tested for seed-flooding tolerance using relative seedling length as indicator in two environments.The population was genotyped using RAD-seq(restriction site-associated DNA sequencing)to generate 6137 SNPLDB(SNP linkage disequilibrium block)markers.Using RTM-GWAS(restricted two-stage multi-locus multiallele genome-wide association study),26 main-effect QTL with 63 alleles and 12 QEI(QTL×environment)QTL with 27 alleles in a total of 33 QTL with 78 alleles(12 dual-effect alleles)were identified,explaining respectively 50.95%and 14.79%of phenotypic variation.The QTL-alleles were organized into main-effect and QEI matrices to show the genetic architecture of seed-flooding tolerance of the three parents and the NAM population.From the main-effect matrix,the best genotype was predicted to have genotypic value 1.924,compared to the parental value range 0.652–1.069,and 33 candidate genes involved in six biological processes were identified and confirmed byχ2 test.The results may provide a way to match the breeding by design strategy.Muhammad Jaffer Ali Guangnan Xing Jianbo He Tuanjie Zhao Junyi Gai 2020The Crop Journal2020,8,5:3
7Molecular markers linked to Rsa resistant to soybean mosaic virus显示文摘Soybean mosaic virus (SMV) is a severe disease in worldwide soybean production. A cross was made between Kefeng No.1 with broad spectrum resistance to SMV and Nannong 1138-2, a susceptible cultivar. The inheritance of resistance to SMV strain Sa prevailing in southern China was analyzed. Results of x2 test from inoculation experiment on parents F1, F2 and F3 lines showed that the resistance to strain Sa was controlled by a single dominant gene Rsa. BSA method was adopted and 900 random 10-mer primers were used to amplify total DNA from resistant pool and susceptible pool in order to obtain polymorphic bands in two bulks.16 primers could generate polymorphic bands, of which OPW-05 and OPAS-06 could generate the most stable RAPD patterns. RAPD markers OPW-05660 and OPAS-061800 were found to be linked to Rsa.Their order and genetic distance were OPAS-06(1800)22.2 cM Rsa 10.1 cM OPW-05660. Southern blotting showed that both OPAS-061800 and OPW-05660 were low copy DNA in genomic DNA. OPW-05(Zhiyong Zhang Shouyi Chen Junyi Gai 1999Chinese Science Bulletin1999,44,2:3
8Development and verification of the cytoplasmic-nuclear male sterile soybean line NJCMS1A and its maintainer NJCMS1B显示文摘THE first cytoplasmic male sterile soybean line was reported by Davis in a U.S. Patent, but no further information has been released since then. Sun et al. developed a cytoplasmic-nuclear male sterile soy-Derong Ding Junyi Gai Zhanglin Cui Shouping Yang Jiaxun Qiu 1999Chinese Science Bulletin1999,44,2:2
9Identification and estima-tion of QTL model and effects显示文摘Gai JunYi Wang Jiankang 1998Theor Appl Genet1998,97,:1
10Differential SW16.1 allelic effects and genetic backgrounds contributed to increased seed weight after soybean domestication显示文摘Although seed weight has increased following domestication from wild soybean(Glycine soja) to cultivated soybean(Glycine max), the genetic basis underlying this change is unclear. Using mapping populations derived from chromosome segment substitution lines of wild soybean, we identified SW16.1 as the causative gene underlying a major quantitative trait locus controlling seed weight.SW16.1 encodes a nucleus-localized LIM domaincontaining protein. Importantly, the GsSW16.1 allele from wild soybean accession N24852 had a negative effect on seed weight, whereas the GmSW16.1 allele from cultivar NN1138-2 had a positive effect. Gene expression network analysis,reverse-transcription quantitative polymerase chain reaction, and promoter-luciferase reporter transient expression assays suggested that SW16.1 regulates the transcription of MT4, a positive regulator of seed weight. The natural variations in SW16.1 and other known seed weight genes were analyzed in soybean germplasm. The SW16.1 polymorphism was associated with seed weight in 247 soybean accessions, showing much higher frequency of positive-effect alleles in cultivated soybean than in wild soybean. Interestingly,gene allele matrix analysis of the known seed weight genes revealed that G. max has lost 38.5%of the G. soja alleles and that most of the lost alleles had negative effects on seed weight. Our results suggest that eliminating negative alleles from G. soja led to a higher frequency of positive alleles and changed genetic backgrounds in G. max,which contributed to larger seeds in cultivated soybean after domestication from wild soybean.Our findings provide new insights regarding soybean domestication and should assist current soybean breeding programs.Xianlian Chen Cheng Liu Pengfei Guo Xiaoshuai Hao Yongpeng Pan Kai Zhang Wusheng Liu Lizhi Zhao Wei Luo Jianbo He Yanzhu Su Ting Jin Fenfen Jiang Si Wang Fangdong Liu Rongzhou Xie Changgen Zhen Wei Han Guangnan Xing Wubin Wang Shancen Zhao Yan Li Junyi Gai 2023Journal of Integrative Plant Biology2023,65,7:1
11Identification and Estimation of QTL Model and Effects显示文摘 Wang Jiankang 1998Theor Appl Genet1998,97,:1
12A conceptual framework for mapping quantitative trait loci regulating ontogenet-ie allometry显示文摘Li Hongying Huang Zhongwen Gai Junyi 2007PLoS One2007,2,11:1
13Production and evaluation of hybrid soybean显示文摘Palmer R G Gai Junyi Sun Huan 2001Pant Breeding Reviews2001,21,:1
14Segregation Analysis on Genetic System of Quantitative Traits in Plants显示文摘Based on the traditional polygene inheritance model of quantitative traits,the author suggests the major gene and polygene mixed inheritance model.The model was considered as a general one,while the pure major gene and pure polygene inheritance model was a specific case of the general model.Based on the proposed theory,the author established the segregation analysis procedure to study the genetic system of quantitative traits of plants.At present,this procedure can be used to evaluate the genetic effect of individual major genes(up to two to three major genes),the collective genetic effect of polygene,and their heritability value.This paper introduces how to establish the procedure,its main achievements,and its applications.An example is given to illustrate the steps,methods,and effectiveness of the procedure.Gai Junyi 2006Frontiers in Biology2006,1,1:1
15Identification and estimation of QTL model and effects显示文摘Gai junyi Wang jiankang 1998Theo Appl Genet1998,97,:1
16Geographic differentiation and phylogeographic relationships among world soybean populations显示文摘A fast-growing protein and oil crop,soybean was domesticated in ancient China and disseminated early in Asia and afterwards to other continents,in particular the Americas in recent centuries.After adaptation,locally developed landraces and cultivars formed a diversity of geographic-populations.In an investigation of their phylogeographic features,marker-derived traits were combined with geography-related photo-and temperaturesensitive traits to study 13 geographic-populations comprising 371 accessions.Extreme differentiation among geographic-populations was observed for flowering date(33–94 days),maturity date(79–181 days),and main stem node number(6–25 nodes).Restriction-site associated DNA sequencing revealed strong genetic differentiation among these geographic-populations,including genetic richness(alleles,35,242–44,986)and specific-present alleles(SPAs,0–67).More SPAs(28–67)emerged in some secondary and tertiary centers than in centers of origin(8–11).Phenotypic and genotypic clustering divided 11 of the 13 geographic-populations into the same five sets of sensitivity-similar geographic-populations and grouped the populations of northeast China and northern North America rather than center-of-origin populations as secondary centers,indicating the importance of geography-related traits in determining genetic differences among geographic-populations.A model of four soybean dissemination paths is presented:from the center of origin to the north,east,and south in Asia and from northeast China to Europe and the Americas.These findings provide a detailed phylogeographic understanding of worldwide soybeans.Xueqin Liu Jianbo He Yufeng Wang Guangnan Xing Yan Li Shouping Yang Tuanjie Zhao Junyi Gai 2020The Crop Journal2020,8,2:1
17Production and evaluation of hybrid soybean显示文摘PALMER R G GAI JUNYI SUN HUAN 2001Pant Breeding Reviews2001,21,:1
18Genome-wide identification and characterization of putative cytochrome P450 genes in the model legume Medicago truncatula显示文摘Lingyong Li Hao Cheng Junyi Gai Deyue Yu 2007Planta2007,,1:1
19Genome-wide identification and characterization of putative cytochrome P450 genes in the model legume Medicago truncatula显示文摘Lingyong Li Hao Cheng Junyi Gai Deyue Yu 2007Planta2007,,1:1
20Molecular cloning and characterization of a novel microsomal oleate desaturase gene from soybean显示文摘Lingyong Li Xiaolin Wang Junyi Gai 2006Journal of Plant Physiology2006,111,:1
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