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21.
Yun Wang Yunlong Pang Kai Chen Laiyuan Zhai Congcong Shen Shu Wang Jianlong Xu 《作物学报(英文版)》2020,(1):119-131
The source-sink relationship determines the ultimate grain yield.We investigated the genetic basis of the relationship between source and sink and yield potential in rice.In two environments,we identified quantitative trait loci(QTL)associated with sink capacity(total spikelet number per panicle and thousand-grain weight),source leaf(flag leaf length,flag leaf width and flag leaf area),source-sink relationship(total spikelet number to flag leaf area ratio)and yield-related traits(filled grain number per panicle,panicle number per plant,grain yield per plant,biomass per plant,and harvest index)by genome-wide association analysis using 272 Xian(indica)accessions.The panel showed substantial variation for all traits in the two environments and revealed complex phenotypic correlations.A total of 70 QTL influencing the 11 traits were identified using 469,377 high-quality SNP markers.Five QTL were detected consistently in four chromosomal regions in both environments.Five QTL clusters simultaneously affected source,sink,source–sink relationship,and grain yield traits,probably explaining the genetic basis of significant correlations of grain yield with source and sink traits.We selected 24 candidate genes in the four consistent QTL regions by identifying linkage disequilibrium(LD)blocks associated with significant SNPs and performing haplotype analysis.The genes included one cloned gene(NOG1)and three newly identified QTL(qHI6,qTGW7,and qFLA8).These results provide a theoretical basis for high-yield rice breeding by increasing and balancing source–sink relationships using marker-assisted selection. 相似文献
22.
小麦茎秆断裂强度相关性状QTL的连锁和关联分析 总被引：3，自引：0，他引：3
小麦茎秆断裂强度与倒伏特性关系密切,并对产量有很大影响。本研究旨在解析茎秆断裂强度的遗传机制,开发与该性状紧密连锁/关联的分子标记。利用山农01-35′藁城9411重组自交系(RIL)群体(含173个F8:9株系)和由205个品种(系)构成的自然群体,借助90 k小麦SNP基因芯片、DArT芯片及传统分子标记技术,在2个环境中对两群体的茎秆断裂强度相关性状进行连锁分析和全基因组关联分析。利用已构建的高密度连锁图谱,在4B染色体的TDURUM_CONTIG63670_287–IACX557和EX_C101685–RAC875_C27536等区段上,检测到9个控制小麦茎秆断裂强度、株高、茎秆第2节间充实度、茎秆第2节壁厚相关性状的加性QTL,可解释表型变异9.40%~36.30%。同时,利用包含24 355个SNP位点的复合遗传图谱,在自然群体中检测到37个与茎秆断裂强度相关性状(P0.0001)的标记,分别位于1A、1B、2B、2D、3A、3B、4A、4B、5A、5B、5D、6B、7A、7B和7D染色体,可解释表型变异7.76%~36.36%。在4B染色体上,以连锁分析检测到控制茎秆断裂强度的RAC875_C27536与关联分析检测到的Tdurum_contig4974_355标记,在复合遗传图谱上的距离为6.7 cM,说明该区段存在控制小麦茎秆断裂强度的重要基因。 相似文献
23.
An imputation‐based genome‐wide association study on traits related to male reproduction in a White Duroc × Erhualian F2 population 
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下载免费PDF全文 Jun Ren Feng Zhang Chao Jiang Yuan Hong Kai Jiang Qiang Yang Chengbin Wang Nengshui Ding Lusheng Huang Zhiyan Zhang Yuyun Xing 《Animal Science Journal》2016,87(5):646-654
Boar reproductive traits are economically important for the pig industry. Here we conducted a genome‐wide association study (GWAS) for 13 reproductive traits measured on 205 F2 boars at day 300 using 60 K single nucleotide polymorphism (SNP) data imputed from a reference panel of 1200 pigs in a White Duroc × Erhualian F2 intercross population. We identified 10 significant loci for seven traits on eight pig chromosomes (SSC). Two loci surpassed the genome‐wide significance level, including one for epididymal weight around 60.25 Mb on SSC7 and one for semen temperature around 43.69 Mb on SSC4. Four of the 10 significant loci that we identified were consistent with previously reported quantitative trait loci for boar reproduction traits. We highlighted several interesting candidate genes at these loci, including APN, TEP1, PARP2, SPINK1 and PDE1C. To evaluate the imputation accuracy, we further genotyped nine GWAS top SNPs using PCR restriction fragment length polymorphism or Sanger sequencing. We found an average of 91.44% of genotype concordance, 95.36% of allelic concordance and 0.85 of r2 correlation between imputed and real genotype data. This indicates that our GWAS mapping results based on imputed SNP data are reliable, providing insights into the genetic basis of boar reproductive traits. 相似文献
24.
LI Xue-wu WANG Rui-jun WANG Zhi-ying NA Qing LI Hong-wei WANG Zhen-yu SU Rui ZHANG Yan-jun LI Jin-quan 《中国畜牧兽医》2016,43(12):3275-3284
Fiber and wool quality not only affects the economic benefits of cashmere goat breeding, but also affects the quality of wool textiles. In recent years, fluff quality has declined with cashmere yield improvement. In order to improve production efficiency, improving fluff quality is imperative in the production process. At the same time, fiber and wool quality is important parameters of selection in breeding of goats. The main traits of controlling the fluff quality are quantitative traits. It can be to find the number of main effect genes by quantitative genetics and molecular genetics and to study its growth mechanism and gene expression. In this review, we summarize the recent achievements of the quality of cashmere, including the use of phenotypic select to improve the quality of the fluff and finding the genetics of controlling the quality of cashmere, for example, HOX,BMP,KAP genes and pigments, and beginning to find the corresponding control target trait QTL and different sequences of SNPs by GWAS analysis to improve the quality by genotype selection, in order to improve the quality of cashmere and provide reference to study the cashmere quality of genetic factors for later research. 相似文献
25.
Hui Zhang Linyong Shen Yumao Li Zichun Xu Xinyang Zhang Jiaqiang Yu Zhiping Cao Peng Luan 《Zeitschrift für Tierzüchtung und Züchtungsbiologie》2019,136(5):351-361
The plasma very low‐density lipoprotein (VLDL) concentration is an effective blood biochemical indicator that could be used to select lean chicken lines. In the current study, we used Genome‐wide association study (GWAS) method to detect SNPs with significant effects on plasma VLDL concentration. As a result, 38 SNPs significantly associated with plasma VLDL concentration were identified using at least one of the three mixed linear model (MLM) packages, including GRAMMAR, EMMAX and GEMMA. Nearly, all these SNPs with significant effects on plasma VLDL concentration (except Gga_rs16160897) have significantly different allele frequencies between lean and fat lines. The 1‐Mb regions surrounding these 38 SNPs were extracted, and twelve important regions were obtained after combining the overlaps. A total of 122 genes in these twelve important regions were detected. Among these genes, LRRK2, ABCD2, TLR4, E2F1, SUGP1, NCAN, KLF2 and RAB8A were identified as important genes for plasma VLDL concentration based on their basic functions. The results of this study may supply useful information to select lean chicken lines. 相似文献
26.
1. In order to identify loci associated with metabolic traits, a genome-wide association study was carried out in a chicken F2 population derived from a reciprocal cross between Iranian Urmia indigenous chickens and Arian broiler line using Illumina 60K Chicken single nucleotide polymorphism (SNP) BeadChip.
2. Six traits including plasma level of triglycerides (TGs), cholesterol (Chol), glucose (Glu), total protein, albumin (Alb) and globulin (Glo) were recorded. The association between the identified SNPs and metabolic traits was estimated by general linear model (GLM) and compressed mixed linear model (CMLM).
3. A total of 38 SNPs were identified at the genome-wide significant and suggestive levels, of which 5 SNPs reached a 5% Bonferroni genome-wide significance (P < 2.58E-6) for TG, Alb and Glo through CMLM, and 21 SNPs were significantly associated with TG, Chol, Glu, Alb and Glo through GLM.
4. Gene ontology showed that these SNPs were located within or near the candidate genes responsible for metabolic traits.
5. In conclusion, the identified candidate genes provided novel information for molecular mechanisms underlying metabolic traits. These findings are important in marker-assisted selection in the chicken breeding scheme. 相似文献
27.
Pool‐based genome‐wide association study identified novel candidate regions on BTA9 and 14 for oleic acid percentage in Japanese Black cattle 下载免费PDF全文
下载免费PDF全文 Ayaka Nakajima Yuta Matsumoto Yoshinobu Uemoto Moriyuki Fukushima Emi Yoshida Eiji Iwamoto Takayuki Akiyama Namiko Kohama Eiji Kobayashi Takeshi Honda Kenji Oyama Hideyuki Mannen Shinji Sasazaki 《Animal Science Journal》2018,89(8):1060-1066
Fatty acid composition is an important indicator of beef quality. The objective of this study was to search the potential candidate region for fatty acid composition. We performed pool‐based genome‐wide association studies (GWAS) for oleic acid percentage (C18:1) in a Japanese Black cattle population from the Hyogo prefecture. GWAS analysis revealed two novel candidate regions on BTA9 and BTA14. The most significant single nucleotide polymorphisms (SNPs) in each region were genotyped in a population (n = 899) to verify their effect on C18:1. Statistical analysis revealed that both SNPs were significantly associated with C18:1 (p = .0080 and .0003), validating the quantitative trait loci (QTLs) detected in GWAS. We subsequently selected VNN1 and LYPLA1 genes as candidate genes from each region on BTA9 and BTA14, respectively. We sequenced full‐length coding sequence (CDS) of these genes in eight individuals and identified a nonsynonymous SNP T66M on VNN1 gene as a putative candidate polymorphism. The polymorphism was also significantly associated with C18:1, but the p value (p = .0162) was higher than the most significant SNP on BTA9, suggesting that it would not be responsible for the QTL. Although further investigation will be needed to determine the responsible gene and polymorphism, our findings would contribute to development of selective markers for fatty acid composition in the Japanese Black cattle of Hyogo. 相似文献
28.
鸡血糖性状的全基因组关联分析 总被引：1，自引：1，他引：0
旨在挖掘影响鸡血糖性状的有效SNP位点及功能基因，为优质肉鸡分子育种工作提供有效的理论支撑。本试验选取407只京星黄母鸡于98日龄屠宰，酚仿法提取血液DNA，进行深度为10×的全基因组重测序；葡萄糖氧化酶法测定血清中血糖水平，基于全基因组重测序和血糖表型数据进行全基因组关联分析（GWAS）。结果，GWAS共筛选到6个血糖相关的SNPs位点（关联阈值P<1.43×10-6）。基因注释发现，rs734134177在UBE3D基因第8内含子上，其编码蛋白为泛素蛋白连接酶。该位点携带野生型（AA）个体的血糖水平极显著高于突变型（GG）个体（P<0.01）；rs794554022位于ACAD9基因下游D 93.5 kb处。ACAD9蛋白为酰基辅酶A脱氢酶家族的成员之一，是细胞线粒体中脂肪酰基辅酶A进行β-氧化过程中的限速酶。rs794554022位点携带野生型（AA）个体的血糖水平极显著低于携带突变型（CC）个体的（P<0.01）。以上位点可能是调控血糖水平的相关候选SNPs位点，这两个位点所在基因可能参与了肉鸡血糖代谢的调控过程，这些结果将为调控肉鸡血糖代谢进而改善肉品质的育种工作提供候选的分子标记，为肉鸡血糖代谢的调控提供了新的思路。 相似文献
29.
The roan coat color in horses is characterized by dispersed white hair and dark points. This phenotype segregates in a broad range of horse breeds, while the underlying genetic background is still unknown. Previous studies mapped the roan locus to the KIT gene on equine chromosome 3 (ECA3). However, this association could not be validated across different horse breeds. Performing a genome-wide association analysis (GWAS) in Noriker horses, we identified a single nucleotide polymorphism (SNP) (ECA3:g.79,543.439 A > G) in the intron 17 of the KIT gene. The G -allele of the top associated SNP was present in other roan horses, namely Quarter Horse, Murgese, Slovenian, and Belgian draught horse, while it was absent in a panel of 15 breeds, including 657 non-roan horses. In further 379 gray Lipizzan horses, eight animals exhibited a heterozygous genotype (A/G). Comparative whole-genome sequence analysis of the KIT region revealed two deletions in the downstream region (ECA3:79,533,217_79,533,224delTCGTCTTC; ECA3:79,533,282_79,533,285delTTCT) and a 3 bp deletion combined with 17 bp insertion in intron 20 of KIT (ECA3:79,588,128_79,588,130delinsTTATCTCTATAGTAGTT). Within the Noriker sample, these loci were in complete linkage disequilibrium (LD) with the identified top SNP. Based upon pedigree information and historical records, we were able to trace back the genetic origin of roan coat color to a baroque gene pool. Furthermore, our data suggest allelic heterogeneity and the existence of additional roan alleles in ponies and breeds related to the English Thoroughbred. In order to study the roan phenotype segregating in those breeds, further association and verification studies are required. 相似文献
30.
油菜是修复土壤重金属污染的理想作物,为筛选甘蓝型油菜耐砷性的显著关联单核苷酸多态性位点及相关候选基因,本研究以140份不同来源的甘蓝型油菜自交系为材料,测定和利用油菜60KSNP芯片对正常和砷胁迫条件下的相对根长(RRL)、相对下胚轴长(RHL)和相对鲜重(RFW)进行了全基因组关联分析。结果表明,与RRL、RHL和RFW显著关联的SNP位点分别为15、20和35个,单个SNP位点表型贡献率分别介于13.31%～24.39%、18.04%～33.82%和20.19%～25.06%之间;其中在A02、A07和C02染色体上同时存在与RRL、RHL和RFW显著关联的LD区间。基于油菜基因组信息在LD区间内共筛选到61个可能与砷胁迫相关的候选基因,其中PHT3;3、PHT1;9、GST、OTC5、NRAMP1和ZIP12等与重金属吸收和转运相关。实时荧光定量PCR分析结果表明, PHT3;3和PHT1;9是与甘蓝型油菜砷离子吸收转运相关的重要候选基因。本研究结果对于甘蓝型油菜耐砷胁迫机理的研究、性状的改良具有重要参考价值。 相似文献