scholarly journals Genome-wide association study reveals the genes associated with the leaf inclusion contents in Chinese medical tree Eucommia ulmoides

2021 ◽  
Vol 85 (2) ◽  
pp. 233-241
Author(s):  
Yong-Cheng Liu ◽  
Xiao-Xi Peng ◽  
Yan-Bing Lu ◽  
Xue-Xian Wu ◽  
Lin-Wu Chen ◽  
...  
Keyword(s):  
Association Study ◽  
Genome Wide Association Study ◽  
Significant Snps ◽  
Snp Markers ◽  
Genome Wide Association ◽  
Eucommia Ulmoides ◽  
Genetic Loci ◽  
Single Nucleotide ◽  
Gutta Percha ◽  
Genome Wide

ABSTRACT Eucommia ulmoides is an economic tree that can biosynthesize secondary metabolites with pharmacological functions. Genetic basis of biosynthesis of these compounds is almost unknown. Therefore, genomic-wide association study was performed to exploit the genetic loci maybe involved in biosynthetic pathways of 5 leaf inclusions (aucubin, chlorogenic acid, gutta-percha, polyphenols, total flavonoids). It was shown that contents of the 5 leaf metabolites have a wide variation following normal distribution. A total of 2 013 102 single nucleotide polymorphism (SNP) markers were identified in a population containing 62 individual clones. Through genome-wide association study analysis, many SNP loci were identified perhaps associated with phenotypes of the leaf inclusions. Higher transcriptional levels of the candidate genes denoted by significant SNPs in leaves suggested they may be involved in biosynthesis of the leaf inclusions. These genetic loci provide with invaluable information for further studies on the gene functions in biosynthesis of the leaf inclusions and selective breeding of the plus trees.

scholarly journals Identification of genomic regions affecting grain peroxidase activity in bread wheat using genome-wide association study

2021 ◽  
Vol 21 (1) ◽  
Author(s):  
Zhengfu Zhou ◽  
Huiyue Guan ◽  
Congcong Liu ◽  
Ziwei Zhang ◽  
Shenghui Geng ◽  
...  
Keyword(s):  
Association Study ◽  
Candidate Gene ◽  
Genome Wide Association Study ◽  
Significant Snps ◽  
Regulatory Elements ◽  
Genome Wide Association ◽  
Genetic Loci ◽  
Genome Wide ◽  
A Genome ◽  
Genomic Regions

Abstract Background Peroxidase (POD) activity plays an important role in flour-based product quality, which is mainly associated with browning and bleaching effects of flour. Here, we performed a genome-wide association study (GWAS) on POD activity using an association population consisted with 207 wheat world-wide collected varieties. Our study also provide basis for the genetic improvement of flour color-based quality in wheat. Results Twenty quantitative trait loci (QTLs) were detected associated with POD activity, explaining 5.59–12.67% of phenotypic variation. Superior alleles were positively correlated with POD activity. In addition, two SNPs were successfully developed to KASP (Kompetitive Allele-Specific PCR) markers. Two POD genes, TraesCS2B02G615700 and TraesCS2D02G583000, were aligned near the QTLs flanking genomic regions, but only TraesCS2D02G583000 displayed significant divergent expression levels (P < 0.001) between high and low POD activity varieties in the investigated association population. Therefore, it was deduced to be a candidate gene. The expression level of TraesCS2D02G583000 was assigned as a phenotype for expression GWAS (eGWAS) to screen regulatory elements. In total, 505 significant SNPs on 20 chromosomes (excluding 4D) were detected, and 9 of them located within 1 Mb interval of TraesCS2D02G583000. Conclusions To identify genetic loci affecting POD activity in wheat grain, we conducted GWAS on POD activity and the candidate gene TraesCS2D02G583000 expression. Finally, 20 QTLs were detected for POD activity, whereas two QTLs associated SNPs were converted to KASP markers that could be used for marker-assisted breeding. Both cis- and trans-acting elements were revealed by eGWAS of TraesCS2D02G583000 expression. The present study provides genetic loci for improving POD activity across wide genetic backgrounds and largely improved the selection efficiency for breeding in wheat.

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 Association of three genetic loci with uric acid concentration and risk of gout: a genome-wide association study

The Lancet ◽  
2008 ◽  
Vol 372 (9654) ◽  
pp. 1953-1961 ◽  
Author(s):  
Abbas Dehghan ◽  
Anna Köttgen ◽  
Qiong Yang ◽  
Shih-Jen Hwang ◽  
WH Linda Kao ◽  
...  
Keyword(s):  
Uric Acid ◽  
Association Study ◽  
Acid Concentration ◽  
Genome Wide Association Study ◽  
Genome Wide Association ◽  
Uric Acid Concentration ◽  
Genetic Loci ◽  
Genome Wide ◽  
A Genome

scholarly journals Genome-wide Association of Single-Nucleotide Polymorphisms With Weight Loss Outcomes After Roux-en-Y Gastric Bypass Surgery

2013 ◽  
Vol 98 (6) ◽  
pp. E1131-E1136 ◽  
Author(s):  
Erica S. Rinella ◽  
Christopher Still ◽  
Yongzhao Shao ◽  
G. Craig Wood ◽  
Xin Chu ◽  
...  
Keyword(s):  
Weight Loss ◽  
Gastric Bypass ◽  
Association Study ◽  
Genome Wide Association Study ◽  
Genome Wide Association ◽  
Single Nucleotide ◽  
Snp Arrays ◽  
Genome Wide ◽  
Common Genetic Variants ◽  
Weight Loss Outcomes

Context: Roux-en-Y gastric bypass (RYGB) is among the most effective treatments for extreme obesity and obesity-related complications. However, despite its potential efficacy, many patients do not achieve and/or maintain sufficient weight loss. Objective: Our objective was to identify genetic factors underlying the variability in weight loss outcomes after RYGB surgery. Design: We conducted a genome-wide association study using a 2-stage phenotypic extreme study design. Setting: Patients were recruited from a comprehensive weight loss program at an integrated health system. Patients: Eighty-six obese (body mass index &gt;35 kg/m2) patients who had the least percent excess body weight loss (%EBWL) and 89 patients who had the most %EBWL at 2 years after surgery were genotyped using Affymetrix version 6.0 single-nucleotide polymorphism (SNP) arrays. A second group from the same cohort consisting of 164 patients in the lower quartile of %EBWL and 169 from the upper quartile were selected for evaluation of candidate regions using custom SNP arrays. Intervention: We performed RYGB surgery. Main Outcome Measures: We assessed %EBWL at 2 years after RYGB and SNPs. Results: We identified 111 SNPs in the first-stage analysis whose frequencies were significantly different between 2 phenotypic extremes of weight loss (allelic χ2 test P &lt; .0001). Linear regression of %EBWL at 2 years after surgery revealed 17 SNPs that approach P &lt; .05 in the validation stage and cluster in or near several genes with potential biological relevance including PKHD1, HTR1A, NMBR, and IGF1R. Conclusions: This is the first genome-wide association study of weight loss response to RYGB. Variation in weight loss outcomes after RYGB may be influenced by several common genetic variants.

scholarly journals Genome-wide association study and genomic selection for plant height, maturity, seed weight, and yield in soybean

2019 ◽  
Author(s):  
Waltram Ravelombola ◽  
Jun Qin ◽  
Ainong Shi ◽  
Fengmin Wang ◽  
Yan Feng ◽  
...  
Keyword(s):  
Association Study ◽  
Genomic Selection ◽  
Candidate Genes ◽  
Plant Height ◽  
Seed Weight ◽  
Genome Wide Association Study ◽  
Agronomic Traits ◽  
Snp Markers ◽  
Genome Wide Association ◽  
Genome Wide

Abstract Background Soybean [ Glycine max (L.) Merr.] is a legume of great interest worldwide. Enhancing genetic gain for agronomic traits via molecular approaches has been long considered as the main task for soybean breeders and geneticists. The objectives of this study were to evaluate maturity, plant height, seed weight, and yield in a diverse soybean accession panel, to conduct a genome-wide association study (GWAS) for these traits and identify SNP markers associated with the four traits, and to assess genomic selection (GS) accuracy. Results A total of 250 soybean accessions were evaluated for maturity, plant height, seed weight, and yield over three years. This panel was genotyped with a total of 10,259 high quality SNPs postulated from genotyping by sequencing (GBS). GWAS was performed using a Bayesian Information and Linkage Disequilibrium Iteratively Nested Keyway (BLINK) model, and GS was evaluated using a ridge regression best linear unbiased predictor (rrBLUP) model. The results revealed that a total of 20, 31, 37, 31, and 23 SNPs were significantly associated with the average 3-year data for maturity, plant height, seed weight, and yield, respectively; some significant SNPs were mapped into previously described loci ( E2 , E4 , and Dt1 ) affecting maturity and plant height in soybean and a new locus mapped on chromosome 20 was significantly associated with plant height; Glyma.10g228900 , Glyma.19g200800 , Glyma.09g196700 , and Glyma.09g038300 were candidate genes found in the vicinity of the top or the second best SNP for maturity, plant height, seed weight, and yield, respectively; a 11.5-Mb region of chromosome 10 was associated with both seed weight and yield; and GS accuracy was trait-, year-, and population structure-dependent. Conclusions The SNP markers identified from this study for plant height, maturity, seed weight and yield can be used to improve the four agronomic traits through marker-assisted selection (MAS) and GS in soybean breeding programs. After validation, the candidate genes can be transferred to new cultivars using SNP markers through MAS. The high GS accuracy has confirmed that the four agronomic traits can be selected in molecular breeding through GS.

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