scholarly journals Identification of genetic factors controlling phosphorus utilization efficiency in wheat by genome-wide association study with principal component analysis

Gene ◽  
2021 ◽  
Vol 768 ◽  
pp. 145301
Author(s):  
Luqman Bin Safdar ◽  
Muhammad Jawad Umer ◽  
Fakhrah Almas ◽  
Siraj Uddin ◽  
Qurra-tul-Ain Safdar ◽  
...  
2020 ◽  
Author(s):  
Luqman Bin Safdar ◽  
Muhammad Jawad Umer ◽  
Fakhrah Almas ◽  
Siraj Uddin ◽  
Qurra-tul-Ain Safdar ◽  
...  

ABSTRACTDespite the economic importance of P utilization efficiency, information on genetic factors underlying this trait remains elusive. To address that, we performed a genome-wide association study in a spring wheat diversity panel ranging from landraces to elite varieties. We evaluated the phenotype variation for P utilization efficiency in controlled conditions and genotype variation using wheat 90K SNP array. Phenotype variables were transformed into a smaller set of uncorrelated principal components that captured the most important variation data. We identified two significant loci associated with both P utilization efficiency and the 1st principal component on chromosomes 3A and 4A: qPE1-3A and qPE2-4A. Annotation of genes at these loci revealed 53 wheat genes, among which 6 were identified in significantly enriched pathways. The expression pattern of these 6 genes indicated that TraesCS4A02G481800, involved in pyruvate metabolism and TCA cycle, had a significantly higher expression in the P efficient variety under limited P conditions. Further characterization of these loci and candidate genes can help stimulate P utilization efficiency in wheat.KEY MESSAGEWe report two new loci for P utilization efficiency on chromosomes 3A and 4A of wheat. The prioritized candidate genes at these loci can be investigated by molecular biology techniques to improve P efficiency in wheat and grass relatives.


2019 ◽  
Author(s):  
Sally N. Adebamowo ◽  
Adebowale A Adeyemo ◽  
Charles N Rotimi ◽  
Olayinka Olaniyan ◽  
Richard B. Offiong ◽  
...  

Abstract Background: Genetic factors may influence the susceptibility to high-risk human papillomavirus (hrHPV) infection and persistence. We conducted the first genome-wide association study (GWAS) to identify variants associated with cervical hrHPV infection and persistence. Methods: Participants were 517 Nigerian women evaluated at baseline and 6 months follow-up visits for HPV. HPV was characterized using SPF10/LiPA25. hrHPV infection was positive if at least one carcinogenic HPV genotype was detected in a sample provided at the baseline visit and persistent if at least one carcinogenic HPV genotype was detected in each of the samples provided at the baseline and follow-up visits. Genotyping was done using the Illumina Multi-Ethnic Genotyping Array (MEGA) and imputation was done using the African Genome Resources Haplotype Reference Panel. Association analysis was done under additive genetic models adjusted for age, HIV status and the first principal component (PC) of the genotypes. Results: The mean (±SD) age of the study participants was 38 (±8) years, 48% were HIV negative, 24% were hrHPV positive and 10% had persistent hrHPV infections. The top three variants associated with hrHPV infections were intronic variants clustered in KLF12 (all OR: 7.06, p=1.43 x 10-6). The top variants associated with cervical hrHPV persistence were in DAP(OR: 6.86, p=7.15 x 10-8), NR5A2(OR: 3.65, p=2.03 x 10-7) and MIR365-2(OR: 7.71, p=2.63 x 10-7) gene regions. Conclusions: This exploratory GWAS yielded novel candidate risk loci for cervical hrHPV infection and persistence. The identified loci have biological annotation and functional data supporting their role in hrHPV infection and persistence. Given our limited sample size, larger discovery and replication studies are warranted to further characterize the reported associations.


2014 ◽  
Vol 94 (5) ◽  
pp. 662-676 ◽  
Author(s):  
Hugues Aschard ◽  
Bjarni J. Vilhjálmsson ◽  
Nicolas Greliche ◽  
Pierre-Emmanuel Morange ◽  
David-Alexandre Trégouët ◽  
...  

2019 ◽  
Vol 116 (42) ◽  
pp. 21262-21267 ◽  
Author(s):  
Kenji Yano ◽  
Yoichi Morinaka ◽  
Fanmiao Wang ◽  
Peng Huang ◽  
Sayaka Takehara ◽  
...  

Elucidation of the genetic control of rice architecture is crucial due to the global demand for high crop yields. Rice architecture is a complex trait affected by plant height, tillering, and panicle morphology. In this study, principal component analysis (PCA) on 8 typical traits related to plant architecture revealed that the first principal component (PC), PC1, provided the most information on traits that determine rice architecture. A genome-wide association study (GWAS) using PC1 as a dependent variable was used to isolate a gene encoding rice, SPINDLY (OsSPY), that activates the gibberellin (GA) signal suppression protein SLR1. The effect of GA signaling on the regulation of rice architecture was confirmed in 9 types of isogenic plant having different levels of GA responsiveness. Further population genetics analysis demonstrated that the functional allele of OsSPY associated with semidwarfism and small panicles was selected in the process of rice breeding. In summary, the use of PCA in GWAS will aid in uncovering genes involved in traits with complex characteristics.


2017 ◽  
Vol 100 (6) ◽  
pp. 4683-4697 ◽  
Author(s):  
N.P.P. Macciotta ◽  
S. Biffani ◽  
U. Bernabucci ◽  
N. Lacetera ◽  
A. Vitali ◽  
...  

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