Affymetrix Axiom® Peanut 47K Genotyping Array
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ABSTRACT:
PROVIDER: PRJNA1221891 | ENA |
REPOSITORIES: ENA
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Project description:The cultivated peanut, A. hypogaea L., is a critical oil and food crop worldwide. Decoding the genetic makeup behind natural variation in kernel oil and fatty acid concentrations is crucial for molecular breeding-based nutrient quantity and quality manipulation. Herein, we recognized 87 quantitative trait loci (QTLs) in 45 genomic regions for the concentrations of oil, oleic acid, and linoleic acid, as well as the oleic acid to linoleic acid (O/L) ratio via a genome-wide association study (GWAS) involving 499 peanut accessions. Eight QTLs clarified over 15% of the phenotypic variation in peanut accessions. Among the 45 potential genes significantly related to the 4 traits, only three genes displayed annotation to the fatty acid pathway. Furthermore, on the basis of pleiotropism or linkage data belonging to the identified singular QTLs, we generated a trait-locus axis to better elucidate the genetic background behind the observed oil and fatty acid concentration association. Together, our results provide strong evidence for the genetic mechanism behind oil biosynthesis in A. hypogaea L., facilitating future advances in multiple fatty acid component generation via pyramiding of desirable QTLs This natural population consisting of 499 peanut accessions combined with high-density SNPs will provide a better choice for identifying peanut QTLs/genes in the future. Together, our results provide strong evidence for the genetic mechanism behind oil biosynthesis in peanut, facilitating future advances in multiple fatty acid component generation via pyramiding of desirable QTLs.
2025-05-05 | GSE289195 | GEO
Project description:MDS patients are characterized as the deletion in chromosome 17. We generated induced pluripotent stem cells (iPSCs) from MDS fibroblasts. We performed SNP microarray analysis using Affymetrix axiom EUR array platform.
2013-11-26 | GSE52691 | GEO
Project description:MDS patients are characterized as the deletion in chromosome 17. We generated induced pluripotent stem cells (iPSCs) from MDS fibroblasts. We performed SNP microarray analysis using Affymetrix axiom EUR array platform. Affymetrix axiom EUR arrays were performed according to the manufacturer's directions on DNA extracted from MDS fibroblasts and iPSCs.
2013-11-26 | E-GEOD-52691 | biostudies-arrayexpress
Project description:BACKGROUND:Insertions/deletions (InDels) and more specifically presence/absence variations (PAVs) are pervasive in several species and have strong functional and phenotypic effect by removing or drastically modifying genes. Genotyping of such variants on large panels remains poorly addressed, while necessary for approaches such as association mapping or genomic selection. RESULTS:We have developed, as a proof of concept, a new high-throughput and affordable approach to genotype InDels. We first identified 141,000 InDels by aligning reads from the B73 line against the genome of three temperate maize inbred lines (F2, PH207, and C103) and reciprocally. Next, we designed an Affymetrix® Axiom® array to target these InDels, with a combination of probes selected at breakpoint sites (13%) or within the InDel sequence, either at polymorphic (25%) or non-polymorphic sites (63%) sites. The final array design is composed of 662,772 probes and targets 105,927 InDels, including PAVs ranging from 35 bp to 129kbp. After Affymetrix® quality control, we successfully genotyped 86,648 polymorphic InDels (82% of all InDels interrogated by the array) on 445 maize DNA samples with 422,369 probes. Genotyping InDels using this approach produced a highly reliable dataset, with low genotyping error (~ 3%), high call rate (~ 98%), and high reproducibility (> 95%). This reliability can be further increased by combining genotyping of several probes calling the same InDels (< 0.1% error rate and > 99.9% of call rate for 5 probes). This "proof of concept" tool was used to estimate the kinship matrix between 362 maize lines with 57,824 polymorphic InDels. This InDels kinship matrix was highly correlated with kinship estimated using SNPs from Illumina 50 K SNP arrays. CONCLUSIONS:We efficiently genotyped thousands of small to large InDels on a sizeable number of individuals using a new Affymetrix® Axiom® array. This powerful approach opens the way to studying the contribution of InDels to trait variation and heterosis in maize. The approach is easily extendable to other species and should contribute to decipher the biological impact of InDels at a larger scale.
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Project description:Younger age and VTE recurrence are more likely to be caused by genetic risk factors than secondary VTE in older patients who more likely have comorbidities. When the exome rare variant genotyping database of the Scripps VTE Registry for adults < 55 yrs old was generated and analyzed for single nucleotide polymorphisms (SNPs). Two F5 related SNPs (rs6025, factor V Leiden and rs6687813) exceeded significance (FDR (false discovery rate) p < 0.05). No other variants met genome-wide significance. When the data for the subgroup of cases with recurrent VTE that are more likely to have genetic risk factors than cases with a single VTE episode were compared to controls (N=211 controls and N=32 recurrent VTE cases), 28 SNPs, including the F5 rs6025 SNP, achieved significance (FDR p < 0.05).
2021-12-04 | GSE76016 | GEO
Project description:For developing the more SNPs and new high-density genetic linkage map of tea plant, two parents and their 326 progenies and 147 registered tea cultivars was sequencing by newly developed Affymetrix Axiom genotyping technology
2022-03-09 | GSE182082 | GEO
Project description:UnlabelledThe Affymetrix Axiom genotyping standard and 'best practice' workflow for Linux and Mac users consists of three stand-alone executable programs (Affymetrix Power Tools) and an R package (SNPolisher). Currently, SNP analysis has to be performed in a step-by-step procedure. Manual intervention and/or programming skills by the user is required at each intermediate point, as Affymetrix Power Tools programs do not produce input files for the program next-in-line. An additional problem is that the output format of genotypes is not compatible with most analysis software currently available. AffyPipe solves all the above problems, by automating both standard and 'best practice' workflows for any species genotyped with the Axiom technology. AffyPipe does not require programming skills and performs all the steps necessary to obtain a final genotype file. Furthermore, users can directly edit SNP probes and export genotypes in PLINK format.Availability and implementationhttps://github.com/nicolazzie/AffyPipe.git.
| S-EPMC4609010 | biostudies-literature
Project description:Transdisciplinary Research Into Cancer of the Lung (TRICL): Affymetrix Axiom Array
| PRJNA489549 | ENA
Project description:To accelerate genetic studies in sugarcane, an Axiom Sugarcane100K single nucleotide polymorphism (SNP) array was designed and customized in this study. Target enrichment sequencing 300 sugarcane accessions selected from the world collection of sugarcane and related grass species yielded more than four million SNPs, from which a total of 31,449 single dose (SD) SNPs and 68,648 low dosage (33,277 SD and 35,371 double dose) SNPs from two datasets respectively were selected and tiled on Affymetrix Axiom SNP array. Most of selected SNPs (91.77%) were located within genic regions (12,935 genes), with an average of 7.1 SNPs/gene according to sorghum gene models. This newly developed array was used to genotype 469 sugarcane clones, including one F1 population derived from cross between Green German and IND81-146, one selfing population derived from CP80-1827, and 11 diverse sugarcane accessions as controls. Results of genotyping revealed a high polymorphic SNP rate (77.04%) among the 469 samples. Three linkage maps were constructed by using SD SNP markers, including a genetic map for Green German with 3,482 SD SNP markers spanning 3,336 cM, a map for IND81-146 with 1,513 SD SNP markers spanning 2,615 cM, and a map for CP80-1827 with 536 SD SNP markers spanning 3,651 cM. Quantitative trait loci (QTL) analysis identified a total of 18 QTLs controlling Sugarcane yellow leaf virus resistance segregating in the two mapping populations, harboring 27 disease resistant genes. This study demonstrated the successful development and utilization of a SNP array as an efficient genetic tool for high throughput genotyping in highly polyploid sugarcane.
2019-12-17 | GSE128450 | GEO
Project description:Peanut is one of the most important cash crops with high quality oil, high protein content, and many other nutritional elements, and grown globally. Cultivated peanut (Arachis hypogaea L.) is allotetraploid with a narrow genetic base, and its genetics and molecular mechanisms controlling the agronomic traits are poorly understood. The array SNP data was used for revaling of key candidate loci and genes associated with important agronomic traits in peanut
2022-02-22 | GSE197103 | GEO