Tìm thấy 10+ kết quả cho từ khóa "Complex traits"
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Therefore, GWAS with high-density SNPs are needed to understand the genetic architecture of important, complex traits in dual-purpose cattle breeds.. and one health trait: somatic cell score (SCS) in the Chinese dual-purpose cattle breed, Xinjiang Brown. Our objective was to identify SNPs associated with milk, reproductive, and health traits in the Xinjiang Brown for the benefit of marker-assisted selection and dissection of genetic archi- tecture of these complex traits..
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Genome-wide association studies (GWAS) have been successful at interrogating the genetic basis of complex traits and diseases in cattle [7–10]. Addition- ally, this method can be exploited to identify biologically meaningful information from candidate genes to enhance the understanding of complex traits [15].. Cow livability was included in the national genomic evaluation system by the Council on Dairy Cattle Breeding (CDCB) in 2016 [16].
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The use of genomics in plant breeding is expand- ing [4–6], including employing genome-wide associ- ation studies to identify molecular markers associated with important traits, and genomic selec- tion for complex traits. A common approach is using genome-wide association studies (GWAS): each marker (typically single nucleotide polymorphism, SNP) is tested individually to detect evidence of marker-trait associations [4].
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A whole genome sequence variant panel represents the ultimate DNA marker set to dissect genetic controls of complex traits via genetic analyses including genome wide association studies as whole genome sequence vari- ants contain all causative polymorphisms that contribute to the variation of the trait.
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HVMRs were associated with QTLs of reproduction traits To explore the relationship between HVMRs in sperm and complex traits, we first examined the QTL regions of six categories of traits (n = 232) (Exterior, health, Meat, milk, production and reproduction traits) from the Cattle QTL database (https://www.animalgenome.. While hyper-CMRs were highly associated with a range of complex traits such as milk production traits, non- return rate and calving ease (CE) (Fig.
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Genomic selection for growth and wood quality in Eucalyptus: capturing the missing heritability and accelerating breeding for complex traits in forest trees. Accuracy of genomic selection models in a large population of open-pollinated families in white spruce. Genomic selection accuracies within and between environments and small breeding groups in white spruce. Genomic selection in dairy cattle: Integration of DNA testing into breeding programs.
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Genome-wide association analysis for large genetic units shows major advantages over SNPs in relation to: 1). explaining large percentages of phenotype variations by the combined effects of multiple SNPs and 2) facilitating the study of mechanisms related to complex traits by biologically meaningful genetic units such as genes and pathways [9]..
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Our understanding of the selective forces that generate modularity and how modularity in turn medi- ates and facilitates the evolution of complex traits remains incomplete. However, as we have shown here, on-going efforts to address these questions in dynamic adaptive systems can provide key insights that lead to a more inte- grated understanding of the genomics of rapid adaptation in complex traits..
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The objective of the present study was to apply the AM- BLUP method for genomic predictions of complex traits in BBB cattle in order to study its properties in a live- stock population. To do so, we compared the approach to state-of-the-art methods as GBLUP or BSLMM. Regions and SNPs significantly associated with traits Application of the AM-BLUP results in the identification of regions significantly associated with each trait and consequently provides information on their genetic architecture.
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The CC panel is an experimental population that aids with the dissection of the genetic mechanisms underlying sus- ceptibility to complex traits, such as obesity. Chromo- somal regions that are involved in the susceptibility or resistance to the trait can be mapped as quantitative trait loci (QTL) with high precision.
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SNP S associated with RDW on chromosome 7 was found within Zm00001d020485, a gene encoding a Golgi SNAP receptor complex member 1.
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In this study, the population panel consisted of 217 cultivars from differ- ent ecological regions (the Yellow River, the Yangtze River, the Northwestern inland region, the Northern China region, America and Australia) Phenotypic ana- lysis showed that the salt tolerance related traits in two. Recent years, association mapping as an important method for the identification of complex quantitative traits has been widely used in cotton for various traits including salt tolerance [35–40].
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In terms of the wool stretch Table 2 Estimation of genetic parameters of eight wool traits. Table 3 Significant SNPs associated with seven wool traits. analysis revealed that the candidate genes were significantly enriched in the four pathways (Table 4). Table 3 Significant SNPs associated with seven wool traits (Continued). Generally, the development of wool traits involves a complex genetic mechanism. performed in the ovine species to investigate wool traits [10, 18].
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Overall, these studies have unambiguously addressed that husk traits are complex and genetically controlled by multiple genes.. In addition, we positioned the large-effect QTL in- tervals using the bin map and predicted candidate genes associated with husk traits.
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traits in dairy cattle.
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According to Wattoo et al., (2010), grain yield is a complex trait that depends upon different yield attributing traits.. The present study was therefore undertaken to study the clustering pattern and correlation in aromatic rice landraces for yield attributing traits.. Raipur, the capital of Chhattisgarh, is situated in East Central part of state at latitude of 21°16’ N, longitude 81°36’ E and at an altitude of 289.6 meters above mean sea level. These 90 aromatic rice landraces along with six.
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Genetic analysis of quantitative traits in the Japanese population links cell types to complex human diseases. org/10.1038/s . doi.org/10.1016/j.cell . https://doi.org/10.1097/MOH.. Prevalence of neutropenia in the U.S. https://doi.org/10.7326/.
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We used dense genotypic information to refine associ- ation mapping analysis for body traits in Nile tilapia and found that mtGWAS provided substantial improvements in the number of significant SNPs identified when com- pared to stGWAS. results can provide further knowledge and a better un- derstanding of genetic variants and genes underlying complex body traits in Nile tilapia..
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In this study, we utilized a weighted single-step genome-wide association study (wssGWAS) procedure to detect genetic regions and further candidate genes associated with semen traits in a Duroc boar population. of the total genetic variances for the studied traits.
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Soybean chlorophyll-content traits are complex quantitative traits involving in the dual-effects of heredi- tary and environmental factors [48, 49]. As is shown in Table 1, the phenotypic data of chlorophyll-content traits fluctuated with the soybean growth stages. Moreover, according to the cor- relation analyses in Table S1 (Additional file 1), most chlorophyll-content traits were highly correlated under specific chlorophyll assessing methods.