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Yan Jing Xue Zhao Jun Wang Ming Lian Weili Teng Lijuan Qiu Yingpeng Han Wenbin Li 《Plant Breeding》2019,138(6):721-732
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Yuyang Wang Mingyue Xu Xinrui Mao Huidong Qi Zhengong Yin Yongliang Li Hongwei Jiang Zhenbang Hu Xiaoxia Wu Rongsheng Zhu Chunyan Liu Qingshan Chen Dawei Xin Zhaoming Qi 《Plant Breeding》2018,137(2):181-193
As soybean seed fatty acid content is valued in food, animal feed and some industrial applications, plant breeders continually aim to improve seed fatty acid constituent value. This study analysed 163 original quantitative trait loci (QTLs) related to soybean fatty acid content from databases and references and revealed 43 consensus QTLs. Meta‐analysis using BioMercator ver.2.1 indicated that these were located across 16 linkage groups (LGs) excluding LG D1a, LG C1, LG M and LG H. Moreover, the overview method was used to optimize these QTLs based on statistical analysis. Some valid QTL regions were narrowed down to 0.5 Mb and mapped on the same LGs as the meta‐analysis result. Furthermore, the functions of all genes located in these consensus QTL intervals were predicted and eight candidate genes were identified. KEGG pathway analysis indicated that Glyma.13G127900 and Glyma.18G232000 were involved in the fatty acid synthesis metabolic (pathway ID ko00071, ko00062, ko01040). These results lay a foundation for fine mapping of QTLs related to fatty acid content and marker‐assisted breeding in soybean. 相似文献
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Huihui Gao Yue Gu Hongwei Jiang Yingying Li Dawei Xin Chunyan Liu Rongsheng Zhu Zhaoming Qi Yong Zhang Candong Li Jinxing Wang Zhenbang Hu Xiaoxia Wu Qingshan Chen 《Plant Breeding》2019,138(6):733-740
Both seed length and seed width are important traits for soybean yield. In the present study, 89 Quantitative trait loci (QTLs) of seed length and 65 QTLs of seed width were collected from published papers and our study. QTLs in this study were evaluated by the soymap2, then totally 23 consensus QTLs were located on 17 linkage groups (LGs) through the meta‐analysis. The minimum confidence interval was 0.28 cM and the mean phenotypic variance (R2) was ranged from 5.33% to 23.36%. To optimize these QTLs based on statistic analysis, overview method was further used to narrow down CI, the number of QTLs was narrowed down to 84. Furthermore, 2,750 candidate genes were screened from the consensus QTL intervals by informatics, a total of 37 genes were found to be associated with seed size. All results could lay a foundation for MAS (Molecular Assisted Selection) and gene cloning. 相似文献
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Zhengong Yin Huidong Qi Qingshan Chen Zhanguo Zhang Hongwei Jiang Rongsheng Zhu Zhenbang Hu Xiaoxia Wu Candong Li Yong Zhang Chunyan Liu Guohua Hu Dawei Xin Zhaoming Qi 《Plant Breeding》2017,136(5):688-698
Plant height is closely related to seed yield of soybean. The goal of this study was to identify important loci affecting soybean plant height using meta‐analysis based on a reference physical map. Plant height related to QTLs was mapped across eight years with a RIL population by WinQTLCart v2.5. 182 QTLs related to plant height of soybean from database and our research were collected, and each QTL was projected onto the soybean physical map by software BioMercator v2.1. The confidence interval of meta‐QTL ranged from 0.09 to 5.07 Mb, and the mean phenotypic variance ranged from 4.9% to 73.0%. Furthermore, 4,259 candidate genes were located in these consensus QTLs, and 40 of them were involved in the plant growth and stem elongation and annotated as plant hormone signal transduction (pathway ID ko04075) in KEGG pathway. These results would lay a foundation for fine mapping of QTLs/genes related to plant height and marker‐assisted selection for breeding in soybean. 相似文献
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Lei Huang Ailan Zeng Pengyin Chen Chengjun Wu Dechun Wang Zixiang Wen 《Plant Breeding》2018,137(5):714-720
Salinity is a common abiotic stress causing soybean [Glycine max (L.) Merr.] yield loss worldwide. The use of tolerant cultivars is an effective and economic approach to coping with this stress. Towards this, research is needed to identify salt‐tolerant germplasm and better understand the genetic and molecular basis of salt tolerance in soybean. The objectives of this study were to identify salt‐tolerant genotypes, to search for single‐nucleotide polymorphisms (SNPs) and QTLs associated with salt tolerance. A total of 192 diverse soybean lines and cultivars were screened for salt tolerance in the glasshouse based on visual leaf scorch scores after 15–18 days of 120 mM NaCl stress. These genotypes were further genotyped using the SoySNP50K iSelect BeadChip. Genomewide association mapping showed that 62 SNP markers representing six genomic regions on chromosomes (Chr.) 2, 3, 5, 6, 8 and 18, respectively, were significantly associated with salt tolerance (p < 0.001). A total of 52 SNP markers on Chr. 3 are mapped at or near the major salt tolerance QTL previously identified in S‐100 (Lee et al., 2014). Three SNPs on Chr. 18 map near the salt tolerance QTL previously identified in Nannong1138‐2 (Chen, Cui, Fu, Gai, & Yu, 2008). The other significant SNPs represent four putative minor QTLs for salt tolerance, newly identified in this study. The results above lay the foundation for fine mapping, cloning and molecular breeding for soybean salt tolerance. 相似文献
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Zhangxiong Liu Huihui Li Xuhong Fan Wen Huang Jiyu Yang Yuhong Zheng Zixiang Wen Yinghui Li Dechun Wang Shuming Wang Lijuan Qiu 《Plant Breeding》2017,136(4):526-538
Soybean lodging can result in serious yield reduction. Detecting the quantitative trait loci (QTL) associated with lodging tolerance for their further application in marker‐assisted selection (MAS) has the potential to enhance soybean breeding efficiency. In this study, a genome‐wide association analysis (GWAS) was performed to identify soybean accessions that could potentially be used to produce lodging‐tolerant varieties, based on the comprehensive evaluation of lodging scores (LS) obtained for the parental cultivar “Tokachi nagaha” and its 137 derived cultivars. Results showed that genotype, environment and genotype × environment interaction significantly influenced LS. Of the 31 significant SNPs identified, 22 were consistently detected in two or more environments and 27 SNPs were located in or close to agronomically important QTL mapped by linkage analysis. Best linear unbiased predictors (BLUPs) of LS tend to decrease with the elite alleles contained by accessions increasing. Some excellent accessions, with lower BLUPs and Di (stability coefficients) values and more elite alleles, were selected. This study contributed to understand the genetic mechanism of lodging, providing genetic and phenotypic information for MAS. 相似文献
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Jiahao Chu Meihong Huang Hua Zhang Zhenqi Shao Yaqian Sun Shaoda Rong Wenlong Li Xihuan Li Caiying Zhang 《Plant Breeding》2023,142(2):170-183
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Jingyao Yu Shiyu Huang Xinyu Wang Chunyan Liu Tai Guo Rongsheng Zhu Xiaoxia Wu Zhenbang Hu Zhixin Wang Wei Zheng Zhenyu Zhang Haihong Zhao Nannan Wang Chunguang Cheng Dawei Xin Qingshan Chen Zhaoming Qi 《Plant Breeding》2018,137(5):730-745
Traits related to the number of pods and seeds are important yield factors on soybean. The relationships between phenotype and quantitative trait loci (QTLs) of these traits may reveal the mechanisms underlying productivity. Our study objectives were to analyse phenotypic correlations, detect stable QTLs and identify candidate genes useful for marker‐assisted selection. Phenotypic analyses revealed that NThSP (number of three‐seeded pods) was positively correlated with NPPP (number of pods per plant) and SNPP (number of seeds per plant). Seventy‐five QTLs were identified based on the mean phenotypic data for at least 2 years. We detected two to 15 and one to three significant QTLs identified at the same location, respectively. Six consensus QTLs associated with at least two NPS‐related (number of pods and seeds related) traits were identified. Two of these were verified in another population. The QTLs for NPPP, SNPP and NThSP formed a consensus QTL cluster on GM02. Another 27 QTLs also formed clusters in five regions. Fifteen candidate genes were mined and discussed. The results will provide more information to soybean breeding. 相似文献
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Yerlan Turuspekov Saule Abugalieva Kanat Ermekbayev Kazuhiro Sato 《Breeding Science》2014,64(4):399-403
The wild ancestral form of barley, Hordeum vulgare ssp. spontaneum, is a valuable source for gene enrichment of cultivated barley. The purpose of this work was to study the area of distribution as well as the extent and structure of genetic variation of wild barley populations grown in Kazakhstan. It was found that distribution of wild barley populations in Kazakhstan is restricted to the most southern province. A genome wide single nucleotide polymorphism (SNP) analysis was performed in order to study the level of the genetic diversity in 96 accessions representing 14 wild barley populations from Kazakhstan and 25 accessions from the Middle East which is the center of diversity of this subspecies. The oligonucleotide pooled assay was used to genotype 384 SNPs distributed throughout the genome. In total 233 polymorphic SNPs were selected for further statistical analysis. The level of genetic diversity of wild barley populations from Kazakhstan was predictably narrower (He = 0.19 ± 0.01) in comparison with wild barley samples from the Middle East (He = 0.29 ± 0.01). The results suggested that H. vulgare ssp. spontaneum populations in Kazakhstan probably represent a recent spread of a limited number of plants from the primary distribution area and might be well adapted to winter low temperature. 相似文献
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Several leaf traits of soybean (Glycine max L. Merr.), including leaf area (LA), leaf shape (LS) and specific leaf weight (SLW) may be related to soybean yield. The objective of this study was to identify novel quantitative trait loci (QTL) for LA, LS and SLW in a recombinant inbred line (RIL) population. The phenotype data were collected in 2011 and 2012 for 93 F7:10 RILs using a randomized complete block design with 2 replicates each year. Five hundred and sixteen single‐nucleotide polymorphism (SNP) markers and the phenotype data were used to detect QTL using single marker analysis (SMA) and composite interval mapping (CIM). Single markers analysis identified 26 QTL for the three traits, of which 17 were novel and the rests were previously reported QTL. Most of these QTL were also identified by CIM. Most QTL reported in this study were in close proximity (<1 cM) of one or more SNP markers. These publicly available SNP markers with close linkage to LA, LS and SLW should be useful for marker‐assisted breeding for these traits. 相似文献
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Inka Gawenda Patrick Thorwarth Torsten Günther Frank Ordon Karl J. Schmid 《Plant Breeding》2015,134(1):28-39
Genome‐wide association studies (GWAS) became a widely used method to map qualitative and quantitative traits in plants. We compared existing single‐marker and haplotype‐based methods for GWAS with a focus on barley. Based on German winter barley cultivars, four different single‐marker and haplotype‐based methods were tested for their power to detect significant associations in a large genome with a limited number of markers. We identified significant associations for yield and quality‐related traits using the iSelect array with 3886 mapped single nucleotide polymorphism (SNP) markers in a structured population consisting of 109 genotypes. Genome simulations with different numbers of genotypes, marker densities and marker effects were used to compare different GWAS methods. Results of simulations revealed a higher power in detecting significant associations for haplotype‐ than for single‐marker approaches, but showed a higher false discovery rate for SNP detection, due to lack of correction for population structure. Our simulations revealed that a population size of about 500 individuals is required to detect QTLs explaining a small trait variance (<10%). 相似文献
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叶向值是反映叶片\"直\"和\"立\"两个特性的综合指标。叶向值高的品种,叶片直而不弯,叶夹角小,有利于群体通风透光,在群体密度较高时比平展型更容易获得高产。阐明叶向值的遗传基础,对玉米理想株型分子设计育种具有重要的意义。本研究以285份多样性玉米自交系为材料,利用Illumina的maizeSNP50芯片基因分型结合连续2年的叶向值表型鉴定,通过全基因组关联分析方法挖掘玉米叶向值显著关联的SNP位点。方差分析表明,不同自交系的叶向值差异达到极显著水平(P<0.01)。在最优模型选择时,发现Q+K模型最适合本研究的叶向值关联分析。在2个年份下,共检测到15个与叶向值显著关联的位点(P<4.05E-5),包括27个SNP,解释5.54%~8.73%的表型变异,并挖掘了15个候选基因。其中1.07 bin上的位点2是本研究发现的重要位点,其候选基因可能是编码细胞周期蛋白依赖性蛋白激酶的Zm00001d032050,有待进一步图位克隆工作验证。 相似文献
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Yong Hu Yong Huang Li Zhang Hu Zhao Haiyang Liu Yongzhong Xing Xufeng Bai 《Plant Breeding》2016,135(6):677-682
Rachis length is correlated with panicle size in rice. Unveiling the genetic basis of rachis length is important for understanding the genetic regulation of panicle size. In this study, we performed a genomewide association study of rachis length using 529 rice accessions from two environments. In total, 20 loci were identified for rachis length and distributed across the 12 chromosomes except for chromosomes 2 and 5. Thirteen of the 20 loci were not linked to the cloned panicle size genes. Six flowering‐related genes, including the CCT domain‐containing genes Ghd7, Ghd7.1, Hd1, OsCCT1 and OsCO3 as well as Ehd1, were associated with rachis length in this study. These findings suggest that the network of these flowering‐related genes probably participates in the regulation of rachis length and thus affects panicle length and yield. Interestingly, haplotype analysis showed that OsCCT1 is a putative candidate gene which plays a key role in the variation of rachis length. Together, the genetic loci identified in this study could be used for rice breeding by marker‐assisted selection to improve grain yield. 相似文献
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YeSol Jeong SunYoung Lee InHye Choi YongPyo Lim YoonKang Hur Jack E. Staub SangMin Chung 《Plant Breeding》2011,130(3):401-403
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Jeong‐Hyun Seo Ki‐Seung Kim Jong‐Min Ko Man‐Soo Choi Beom‐Kyu Kang Soon‐Wook Kwon Tae‐Hwan Jun 《Plant Breeding》2019,138(1):95-104
Soybean seed protein and oil concentrations are important traits that directly affect the quality of soyfoods. Many studies and breeding programmes have been conducted to find major quantitative trait loci (QTL) that regulate protein and oil concentrations and to develop soybean cultivars with high protein and/or oil content. The purpose of this study was to identify these QTL using a selected breeding population. The population was tested in field conditions over a period of 3 years. Seed protein and oil concentrations were measured each year. Single‐nucleotide polymorphisms (SNPs) were used to construct genetic map using a 180K SoyaSNP array, which identified 1,570 SNPs. We identified 12 QTL for seed protein, 11 for seed oil concentration and four for both traits. Among these, 17 QTL were closely mapped to previously reported QTL, whereas ten sites were novel. Several QTL were detected across at least two experimental years. These loci are good candidate QTL for optimal seed protein and oil concentrations. Our results demonstrate that favourable target QTL can be successfully identified using selected breeding populations. 相似文献
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Ailan Zeng Pengyin Chen Bo Zhang Moldir Orazaly Liliana Florez‐Palacios Kristofor R. Brye 《Plant Breeding》2015,134(2):178-185
Stachyose is an unfavorable sugar in soybean meal that causes flatulence for non‐ruminant animals. Understanding the genetic control of stachyose in soybean will facilitate the modification of stachyose content at the molecular level. The objective of this study was to identify quantitative trait loci (QTL) associated with seed stachyose content using simple sequence repeat (SSR) and single nucleotide polymorphism (SNP) markers. A normal stachyose cultivar, ‘Osage’, was crossed with a low stachyose line, V99‐5089, to develop a QTL mapping population. Two parents were screened with 33 SSR and 37 SNP markers randomly distributed on chromosome 10, and 20 SSR and 19 SNP markers surrounding a previously reported stachyose QTL region on chromosome 11. Of these, 5 SSR and 16 SNP markers were used to screen the F3:4 lines derived from ‘Osage’ x V99‐5089. Seed samples from F3:5 and F3:6 lines were analyzed for stachyose content using high‐performance liquid chromatography (HPLC). Composite interval mapping analysis indicated that two stachyose QTL were mapped to chromosome 10 and 11, explaining 11% and 79% of phenotypic variation for stachyose content, respectively. The SSR/SNP markers linked to stachyose QTL could be used in breeding soybean lines with desired stachyose contents. Chi‐square tests further indicated that these two QTL probably represent two independent genes for stachyose content. Therefore, a major QTL was confirmed on chromosome 11 and a novel QTL was found on chromosome 10 for stachyose content. 相似文献
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Katsuhiko Sumitomo Kenta Shirasawa Sachiko N. Isobe Hideki Hirakawa Akiho Harata Masato Kawabe Masafumi Yagi Masaaki Osaka Miyuki Kunihisa Fumiya Taniguchi 《Breeding Science》2021,71(2):261
White rust caused by Puccinia horiana Henn. adversely affects chrysanthemum (Chrysanthemum morifolium Ramat.) production. The breeding of resistant varieties is effective in controlling the disease. Here we aimed to develop DNA markers for the strong resistance to P. horiana. We conducted a linkage analysis based on the genome-wide association study (GWAS) method. We employed a biparental population for the GWAS, wherein the single nucleotide polymorphism (SNP) allele frequency could be predicted. The population was derived from crosses between a strong resistant “Southern Pegasus” and a susceptible line. The GWAS used simplex and double-simplex SNP markers selected out of SNP candidates mined from ddRAD-Seq data of an F1 biparental population. These F1 individuals segregated in a 1:1 ratio of resistant to susceptible. Twenty-one simplex SNPs were significantly associated with P. horiana resistance in “Southern Pegasus” and generated one linkage group. These results show the presence of a single resistance gene in “Southern Pegasus”. We identified the nearest SNP marker located 2.2 cM from P. horiana resistance locus and demonstrated this SNP marker-resistance link using an independent population. This is the first report of an effective DNA marker linked to a gene for P. horiana resistance in chrysanthemum. 相似文献
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随着土壤酸化的日益加重,铝毒已成为影响作物种子萌发质量以及作物产量的重要胁迫因子之一。作物耐铝相关性状的QTL定位和候选基因筛选已有许多报道,但铝胁迫下甘蓝型油菜萌发期相关性状的QTL定位报道较少。本文以80μg mL?1的铝胁迫浓度处理重组自交系(10D130×中双11号)群体进行种子萌发试验,处理3 d时调查发芽势, 7 d时调查发芽率,测定其根长、芽长和干重,并计算各性状相对值。基于6K SNP芯片,结合高密度遗传连锁图谱对油菜萌发期的5个性状进行QTL定位,共检测到23个QTL。其中与相对发芽势、相对发芽率、相对根长、相对芽长和相对干重相关的QTL分别有9个、1个、4个、5个和4个,覆盖了A、C基因组, LOD值介于3.00~5.26,可解释的表型变异为7.70%~13.10%。根据各QTL置信区间序列筛选,与铝胁迫相关的候选基因共30个。ALMT1基因和MATE基因与有机酸的合成和分泌有关,主要通过苹果酸、柠檬酸和草酸等有机酸的分泌来增强植物的耐铝性;STOP1基因、NAC基因和RAP2.4基因均属于转录激活因子,通过诱导耐铝基因的表达增强植株的抗性; ABC转运蛋白、膜蛋白... 相似文献