scholarly journals Genome-wide association mapping for agronomic and quality traits in foxtail millet

2019 ◽  
Author(s):  
Yanhong Lou ◽  
Yun Chen ◽  
Zhihao Liu ◽  
Mingjie Sun ◽  
Fei Han ◽  
...  
Keyword(s):  
Genome Wide Association Study ◽  
Foxtail Millet ◽  
Significant Snps ◽  
Genomic Variation ◽  
Genome Wide Association ◽  
Quality Traits ◽  
Nucleotide Polymorphisms ◽  
High Quality ◽  
Genome Wide ◽  
A Genome

Abstract Background: Foxtail millet [Setaria italica (L.) P. Beauv.] is a particularly important cereal and fodder crop in arid and semi-arid regions. The genomic variation and alleles underpinning agronomic and quality traits are important for foxtail millet improvement. To better understand the diversity of foxtail millet and facilitate the genetic dissection of its agronomic and quality traits, we used high-quality single nucleotide polymorphisms (SNPs) to perform a genome-wide association study (GWAS). Results: Using genotyping-by-sequencing, 107 foxtail millet accessions were sequenced, and further analysis revealed 72,181 high-quality SNPs, of which 53 were significantly associated with 15 agronomic and quality traits. These SNPs were distributed across the nine chromosomes of foxtail millet; 44 were located in intergenic regions, whereas one and eight SNPs were located in exon and intron regions, respectively. The GWAS revealed that 28 SNPs were associated with a single trait. Conclusions: For some of the significant SNPs, favourable genotypes showed pyramiding effects for several traits. The 53 loci identified in this study will therefore be useful for breeding programs aimed at foxtail millet improvement.

scholarly journals Genome-Wide Association Studies of Somatic Cell Count in the Assaf Breed

Animals ◽  
2021 ◽  
Vol 11 (6) ◽  
pp. 1531
Author(s):  
Yasemin Öner ◽  
Malena Serrano ◽  
Pilar Sarto ◽  
Laura Pilar Iguácel ◽  
María Piquer-Sabanza ◽  
...  
Keyword(s):  
Somatic Cell ◽  
Genome Wide Association Study ◽  
Association Studies ◽  
Significant Snps ◽  
Genome Wide Association ◽  
System Response ◽  
Genome Wide Association Studies ◽  
Nucleotide Polymorphisms ◽  
Genome Wide ◽  
A Genome

A genome-wide association study (GWAS) was performed to identify new single nucleotide polymorphisms (SNPs) and genes associated with mastitis resistance in Assaf sheep by using the Illumina Ovine Infinium® HD SNP BeadChip (680K). In total, 6173 records from 1894 multiparous Assaf ewes with at least three test day records and aged between 2 and 7 years old were used to estimate a corrected phenotype for somatic cell score (SCS). Then, 192 ewes were selected from the top (n = 96) and bottom (n = 96) tails of the corrected SCS phenotype distribution to be used in a GWAS. Although no significant SNPs were found at the genome level, four SNPs (rs419096188, rs415580501, rs410336647, and rs424642424) were significant at the chromosome level (FDR 10%) in two different regions of OAR19. The SNP rs419096188 was located in intron 1 of the NUP210 and close to the HDAC11 genes (61 kb apart), while the other three SNPs were totally linked and located 171 kb apart from the ARPP21 gene. These three genes were related to the immune system response. These results were validated in two SNPs (rs419096188 and rs424642424) in the total population (n = 1894) by Kompetitive Allele-Specific PCR (KASP) genotyping. Furthermore, rs419096188 was also associated with lactose content.

scholarly journals Genome-wide Association Study for Number of Vertebrae in an F2 Large White × Minzhu Population of Pigs

2015 ◽  
Author(s):  
Longchao Zhang ◽  
Xin Liu ◽  
Jing Liang ◽  
Kebin Zhao ◽  
Hua Yan ◽  
...  
Keyword(s):  
Association Study ◽  
Genome Wide Association Study ◽  
Significant Snps ◽  
Genome Wide Association ◽  
Nucleotide Polymorphisms ◽  
Large White ◽  
Genome Wide ◽  
A Genome ◽  
Mammalian Embryos ◽  
Strong Candidate

Porcine carcass that is approximately 800 mm long may be expected to have one additional vertebra. Therefore, the number of vertebrae in pigs is an economically important trait. To examine the genetic basis of this trait, we genotyped 593 F2 Large White × Minzhu pigs using the Porcine SNP60K BeadChip. A genome-wide association study identified 39 significant single-nucleotide polymorphisms (SNPs) on the chromosomes SSC1 and SSC7. An 8.82-Mb region that contained all 21 significant SNPs on SSC1 harbored the gene NR6A1, previously reported to influence the number of vertebrae in pigs. The remaining 18 significant SNPs on SSC7 were concentrated in a 4.56-Mb region, which was within the quantitative trait loci interval for number of vertebrae. A haplotype sharing analysis refined the locus to a segment of ~637 Kb. The most significant SNP, SIRI0001067, was contained in this refined region on SSC7 and located in one of the introns of TGFB3. As TGFB3 influences the development of vertebrae in mammalian embryos, the gene may be another strong candidate for the number of vertebrae in pigs.

scholarly journals A Genome-Wide Association Study of Self-Rated Health

2010 ◽  
Vol 13 (4) ◽  
pp. 398-403 ◽  
Author(s):  
Miriam A. Mosing ◽  
Karin J. H. Verweij ◽  
Sarah E. Medland ◽  
Jodie Painter ◽  
Scott D. Gordon ◽  
...  
Keyword(s):  
Genome Wide Association Study ◽  
Significant Snps ◽  
Genome Wide Association ◽  
Nucleotide Polymorphisms ◽  
Single Nucleotide ◽  
Large Sample ◽  
Self Rated Health ◽  
Genome Wide ◽  
A Genome ◽  
Small Effect Size

AbstractSelf-rated health questions have been proven to be a highly reliable and valid measure of overall health as measured by other indicators in many population groups. It also has been shown to be a very good predictor of mortality, chronic or severe diseases, and the need for services, and is positively correlated with clinical assessments. Genetic factors have been estimated to account for 25–64% of the variance in the liability of self-rated health. The aim of the present study was to identify Single Nucleotide Polymorphisms (SNPs) underlying the heritability of self-rated health by conducting a genome-wide association analysis in a large sample of 6,706 Australian individuals aged 18–92. No genome wide significant SNPs associated with self-rated health could be identified, indicating that self-rated health may be influenced by a large number of SNPs with very small effect size. A very large sample will be needed to identify these SNPs.

scholarly journals Genome-Wide Association Study (GWAS) for Examining the Genomics Controlling Prickle Production in Red Raspberry (Rubus idaeus L.)

Agronomy ◽  
2020 ◽  
Vol 11 (1) ◽  
pp. 27
Author(s):  
Archana Khadgi ◽  
Courtney A. Weber
Keyword(s):  
Association Study ◽  
Genome Wide Association Study ◽  
Genomic Region ◽  
Rubus Idaeus ◽  
Genome Wide Association ◽  
Nucleotide Polymorphisms ◽  
Red Raspberry ◽  
Genome Wide ◽  
A Genome ◽  
Genotype By Sequencing

Red raspberry (Rubus idaeus L.) is an expanding high-value berry crop worldwide. The presence of prickles, outgrowths of epidermal tissues lacking vasculature, on the canes, petioles, and undersides of leaves complicates both field management and harvest. The utilization of cultivars with fewer prickles or prickle-free canes simplifies production. A previously generated population segregating for prickles utilizing the s locus between the prickle-free cultivar Joan J (ss) and the prickled cultivar Caroline (Ss) was analyzed to identify the genomic region associated with prickle development in red raspberry. Genotype by sequencing (GBS) was combined with a genome-wide association study (GWAS) using fixed and random model circulating probability unification (FarmCPU) to analyze 8474 single nucleotide polymorphisms (SNPs) and identify significant markers associated with the prickle-free trait. A total of four SNPs were identified on chromosome 4 that were associated with the phenotype and were located near or in annotated genes. This study demonstrates how association genetics can be used to decipher the genetic control of important horticultural traits in Rubus, and provides valuable information about the genomic region and potential genes underlying the prickle-free trait.

scholarly journals Genome-Wide Association Analysis of Growth Curve Parameters in Chinese Simmental Beef Cattle

Animals ◽  
2021 ◽  
Vol 11 (1) ◽  
pp. 192
Author(s):  
Xinghai Duan ◽  
Bingxing An ◽  
Lili Du ◽  
Tianpeng Chang ◽  
Mang Liang ◽  
...  
Keyword(s):  
Beef Cattle ◽  
Candidate Genes ◽  
Growth Curve ◽  
Growth And Development ◽  
Genome Wide Association Study ◽  
Genome Wide Association ◽  
Coefficient Of Determination ◽  
Nucleotide Polymorphisms ◽  
Genome Wide ◽  
A Genome

The objective of the present study was to perform a genome-wide association study (GWAS) for growth curve parameters using nonlinear models that fit original weight–age records. In this study, data from 808 Chinese Simmental beef cattle that were weighed at 0, 6, 12, and 18 months of age were used to fit the growth curve. The Gompertz model showed the highest coefficient of determination (R2 = 0.954). The parameters’ mature body weight (A), time-scale parameter (b), and maturity rate (K) were treated as phenotypes for single-trait GWAS and multi-trait GWAS. In total, 9, 49, and 7 significant SNPs associated with A, b, and K were identified by single-trait GWAS; 22 significant single nucleotide polymorphisms (SNPs) were identified by multi-trait GWAS. Among them, we observed several candidate genes, including PLIN3, KCNS3, TMCO1, PRKAG3, ANGPTL2, IGF-1, SHISA9, and STK3, which were previously reported to associate with growth and development. Further research for these candidate genes may be useful for exploring the full genetic architecture underlying growth and development traits in livestock.

scholarly journals A Genome-Wide Association Study To Understand the Effect of Fusarium verticillioides Infection on Seedlings of a Maize Diversity Panel

2020 ◽  
Vol 10 (5) ◽  
pp. 1685-1696
Author(s):  
Lorenzo Stagnati ◽  
Vahid Rahjoo ◽  
Luis F. Samayoa ◽  
James B. Holland ◽  
Virginia M. G. Borrelli ◽  
...  
Keyword(s):  
Association Study ◽  
Genome Wide Association Study ◽  
Germination Rate ◽  
Fusarium Verticillioides ◽  
Screening Method ◽  
Significant Snps ◽  
Genome Wide Association ◽  
Genome Wide ◽  
Seedling Length ◽  
A Genome

Fusarium verticillioides, which causes ear, kernel and stem rots, has been reported as the most prevalent species on maize worldwide. Kernel infection by F. verticillioides results in reduced seed yield and quality as well as fumonisin contamination, and may affect seedling traits like germination rate, entire plant seedling length and weight. Maize resistance to Fusarium is a quantitative and complex trait controlled by numerous genes with small effects. In the present work, a Genome Wide Association Study (GWAS) of traits related to Fusarium seedling rot was carried out in 230 lines of a maize association population using 226,446 SNP markers. Phenotypes were scored on artificially infected kernels applying the rolled towel assay screening method and three traits related to disease response were measured in inoculated and not-inoculated seedlings: plant seedling length (PL), plant seedling weight (PW) and germination rate (GERM). Overall, GWAS resulted in 42 SNPs significantly associated with the examined traits. Two and eleven SNPs were associated with PL in inoculated and not-inoculated samples, respectively. Additionally, six and one SNPs were associated with PW and GERM traits in not-inoculated kernels, and further nine and thirteen SNPs were associated to the same traits in inoculated kernels. Five genes containing the significant SNPs or physically closed to them were proposed for Fusarium resistance, and 18 out of 25 genes containing or adjacent to significant SNPs identified by GWAS in the current research co-localized within QTL regions previously reported for resistance to Fusarium seed rot, Fusarium ear rot and fumonisin accumulation. Furthermore, linkage disequilibrium analysis revealed an additional gene not directly observed by GWAS analysis. These findings could aid to better understand the complex interaction between maize and F. verticillioides.

scholarly journals Genome-Wide Association Mapping for Heat and Drought Adaptive Traits in Pea

Genes ◽  
2021 ◽  
Vol 12 (12) ◽  
pp. 1897
Author(s):  
Endale G. Tafesse ◽  
Krishna K. Gali ◽  
V. B. Reddy Lachagari ◽  
Rosalind Bueckert ◽  
Thomas D. Warkentin
Keyword(s):  
Association Mapping ◽  
Candidate Genes ◽  
Vegetation Index ◽  
Genome Wide Association Study ◽  
Genome Wide Association ◽  
Nucleotide Polymorphisms ◽  
Adaptive Traits ◽  
Flowering Duration ◽  
Genome Wide ◽  
A Genome

Heat and drought, individually or in combination, limit pea productivity. Fortunately, substantial genetic diversity exists in pea germplasm for traits related to abiotic stress resistance. Understanding the genetic basis of resistance could accelerate the development of stress-adaptive cultivars. We conducted a genome-wide association study (GWAS) in pea on six stress-adaptive traits with the aim to detect the genetic regions controlling these traits. One hundred and thirty-five genetically diverse pea accessions were phenotyped in field studies across three or five environments under stress and control conditions. To determine marker trait associations (MTAs), a total of 16,877 valuable single nucleotide polymorphisms (SNPs) were used in association analysis. Association mapping detected 15 MTAs that were significantly (p ≤ 0.0005) associated with the six stress-adaptive traits averaged across all environments and consistent in multiple individual environments. The identified MTAs were four for lamina wax, three for petiole wax, three for stem thickness, two for the flowering duration, one for the normalized difference vegetation index (NDVI), and two for the normalized pigment and chlorophyll index (NPCI). Sixteen candidate genes were identified within a 15 kb distance from either side of the markers. The detected MTAs and candidate genes have prospective use towards selecting stress-hardy pea cultivars in marker-assisted selection.

Abstract 4437: Genome-Wide Association Study for the Response to Antihypertensive Medication: HOMED-BP-GENE Study

Circulation ◽  
2008 ◽  
Vol 118 (suppl_18) ◽  
Author(s):  
Tomohiro Katsuya ◽  
Kei Asayama ◽  
Ryusuke Inoue ◽  
Ken Sugimoto ◽  
Takayoshi Ohkubo ◽  
...  
Keyword(s):  
Association Study ◽  
Antihypertensive Medication ◽  
Genome Wide Association Study ◽  
Early Morning ◽  
Home Blood Pressure ◽  
Genome Wide Association ◽  
Nucleotide Polymorphisms ◽  
Genome Wide ◽  
A Genome ◽  
Drug Responsiveness

AAntihypertensive therapy is a powerful approach to prevent the cardiovascular disease. However, the responsiveness of the therapy is highly individual due to the variability of genetic or environmental factors. To elucidate the genetic background underlying antihypertensive drug responsiveness, we carried out a genome-wide association study (GWAS). The subjects studied were recruited from the participants of HOMED-BP study (UMIN Registered ID C000000137, http://www.cpt.med.tohoku.ac.jp/HOMED-BP/) after obtaining the informed consent for the genetic analysis. After DNA extraction from peripheral blood, about half million single nucleotide polymorphisms (SNPs) were examined using GeneChip Genome-Wide Human SNP5.0 Array (Affymetrix). Home blood pressure (HBP) was measured every day within 1 hour after wake-up and before going to bed using HEM747-IC-N (Omron). The study protocol was approved by the ethical committee of Osaka University. SNP5.0 Array analysis was demonstrated for 300 participants. Antihypertensive therapy for 4weeks decreased their average HBP from 149.9/88.8mmHg to 137.7/82.2mmHg in early morning and 142.6/82.3mmHg to 129.1/74.7mmHg before going to bed. We excluded the SNPs data that showed low call rate, lack of Hardy-Weinberg’s equilibrium and minor allele frequency less than 0.05. Eight SNPs were significantly (p<0.001) associated with mean HBP reduction both in the early morning and at bedtime. Nine SNPs were more significantly (p<0.0001) associated with morning HBP reduction and 3 SNPs were associated with bedtime HBP reduction. In conclusion, GWAS of antihypertensive medication revealed several candidate loci responsible for a month therapy with the difference between morning and evening.

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