scholarly journals SNP Alleles Associated With Low Bolting Tendency in Sugar Beet

2021 ◽  
Vol 12 ◽  
Author(s):  
Samathmika Ravi ◽  
Giovanni Campagna ◽  
Maria Cristina Della Lucia ◽  
Chiara Broccanello ◽  
Giovanni Bertoldo ◽  
...  
Keyword(s):  
Sugar Beet ◽  
Genome Wide Association Study ◽  
Snp Markers ◽  
Nucleotide Polymorphism ◽  
Single Nucleotide ◽  
Genome Wide ◽  
A Genome ◽  
Allelic Status ◽  
The One ◽  
Detection Technologies

The identification of efficient molecular markers related to low bolting tendency is a priority in sugar beet (Beta vulgaris L.) breeding. This study aimed to identify SNP markers associated with low bolting tendency by establishing a genome-wide association study. An elaborate 3-year field trial comprising 13 sugar beet lines identified L14 as the one exhibiting the lowest bolting tendency along with an increased survival rate after autumnal sowing. For SNP discovery following phenotyping, contrasting phenotypes of 24 non-bolting and 15 bolting plants of the L14 line were sequenced by restriction site-associated DNA sequencing (RAD-seq). An association model was established with a set of 10,924 RAD-based single nucleotide polymorphism (SNP) markers. The allelic status of the most significantly associated SNPs ranked based on their differential allelic status between contrasting phenotypes (p < 0.01) was confirmed on three different validation datasets comprising diverse sugar beet lines and varieties adopting a range of SNP detection technologies. This study has led to the identification of SNP_36780842 and SNP_48607347 linked to low bolting tendency and can be used for marker-assisted breeding and selection in sugar beet.

scholarly journals The continuing evolution of community-associated MRSA ST93-IV in Australia

2020 ◽  
Author(s):  
Stanley Pang ◽  
Denise A Daley ◽  
Shafi Sahibzada ◽  
Shakeel Mowlaboccus ◽  
Marc Stegger ◽  
...  
Keyword(s):  
Genome Wide Association Study ◽  
Nucleotide Polymorphism ◽  
Single Nucleotide ◽  
Genetic Traits ◽  
Genome Wide ◽  
A Genome ◽  
High Prevalence ◽  
Northern Regions ◽  
Australian Community ◽  
Gwas Approach

Abstract Background The global emergence of community-associated methicillin-resistant Staphylococcus aureus (CA-MRSA) has seen the dominance of specific clones in different regions around the world with the PVL-positive ST93-IV as the predominant CA-MRSA clone in Australia. In this study we applied a genome-wide association study (GWAS) approach on a collection of Australian ST93-IV MRSA genomes to identify genetic traits that may have assisted the ongoing transmission of ST93-IV in Australia. We also compared the genomes of ST93-IV bacteraemia and non-bacteraemia isolates to identify potential virulence factors associated with bacteraemia.Results Based on single nucleotide polymorphism phylogenetics we identified two distinct ST93-IV clades circulating concurrently in Australia. One of the clades contained isolates primarily isolated in the northern regions of Australia whilst isolates in the second clade were distributed across the country. Analyses of the ST93-IV genome plasticity over a 15-year period (2002-2017) revealed an observed gain in accessory genes amongst the clone’s population. The GWAS analysis on the bacteraemia isolates identified two genes that have also previously been associated to this kind of infection. Conclusions The emergence of a ST93-IV clade containing additional virulence genes may explain the high prevalence of ST93-IV infections amongst the indigenous population living in the northern regions of Australia. In summary, this study has shown ST93-IV is evolving with multiple additional genes possibly contributing to its dominance in the Australian community.

scholarly journals The Continuing Evolution of Community-Associated MRSA ST93-IV in Australia

2020 ◽  
Author(s):  
Stanley Pang ◽  
Denise A Daley ◽  
Shafi Sahibzada ◽  
Shakeel Mowlaboccus ◽  
Marc Stegger ◽  
...  
Keyword(s):  
Genome Wide Association Study ◽  
Nucleotide Polymorphism ◽  
Single Nucleotide ◽  
Genetic Traits ◽  
Genome Wide ◽  
A Genome ◽  
High Prevalence ◽  
Northern Regions ◽  
Australian Community ◽  
Gwas Approach

Abstract BackgroundThe global emergence of community-associated methicillin-resistant Staphylococcus aureus (CA-MRSA) has seen the dominance of specific clones in different regions around the world with the PVL-positive ST93-IV as the predominant CA-MRSA clone in Australia. In this study we applied a genome-wide association study (GWAS) approach on a collection of Australian ST93-IV MRSA genomes to identify genetic traits that may have assisted the ongoing transmission of ST93-IV in Australia. We also compared the genomes of ST93-IV bacteraemia and non-bacteraemia isolates to identify potential virulence factors associated with bacteraemia.ResultsBased on single nucleotide polymorphism phylogenetics we identified two distinct ST93-IV clades circulating concurrently in Australia. One of the clades contained isolates primarily isolated in the northern regions of Australia whilst isolates in the second clade were distributed across the country. Analyses of the ST93-IV genome plasticity over a 15-year period (2002-2017) revealed an observed gain in accessory genes amongst the clone’s population. The GWAS analysis on the bacteraemia identified two genes that have also previously been associated to this kind of infection. ConclusionsThe emergence of a ST93-IV clade containing additional virulence genes may explain the high prevalence of ST93-IV infections amongst the indigenous population living in the northern regions of Australia. In summary, this study has shown ST93-IV is evolving with multiple additional genes possibly contributing to its dominance in the Australian community.

scholarly journals GMStool: GWAS-based marker selection tool for genomic prediction from genomic data

2020 ◽  
Vol 10 (1) ◽  
Author(s):  
Seongmun Jeong ◽  
Jae-Yoon Kim ◽  
Namshin Kim
Keyword(s):  
Genomic Prediction ◽  
Genome Wide Association Study ◽  
Genomic Data ◽  
High Accuracy ◽  
Nucleotide Polymorphism ◽  
Single Nucleotide ◽  
Machine Learning Methods ◽  
Marker Selection ◽  
Genome Wide ◽  
A Genome

AbstractThe increased accessibility to genomic data in recent years has laid the foundation for studies to predict various phenotypes of organisms based on the genome. Genomic prediction collectively refers to these studies, and it estimates an individual’s phenotypes mainly using single nucleotide polymorphism markers. Typically, the accuracy of these genomic prediction studies is highly dependent on the markers used; however, in practice, choosing optimal markers with high accuracy for the phenotype to be used is a challenging task. Therefore, we present a new tool called GMStool for selecting optimal marker sets and predicting quantitative phenotypes. The GMStool is based on a genome-wide association study (GWAS) and heuristically searches for optimal markers using statistical and machine-learning methods. The GMStool performs the genomic prediction using statistical and machine/deep-learning models and presents the best prediction model with the optimal marker-set. For the evaluation, the GMStool was tested on real datasets with four phenotypes. The prediction results showed higher performance than using the entire markers or the GWAS-top markers, which have been used frequently in prediction studies. Although the GMStool has several limitations, it is expected to contribute to various studies for predicting quantitative phenotypes. The GMStool written in R is available at www.github.com/JaeYoonKim72/GMStool.

scholarly journals Haplotype Networking of GWAS Hits for Citrulline Variation Associated with the Domestication of Watermelon

2019 ◽  
Vol 20 (21) ◽  
pp. 5392
Author(s):  
Joshi ◽  
Shinde ◽  
Nimmakayala ◽  
Abburi ◽  
Alaparthi ◽  
...  
Keyword(s):  
Genome Wide Association Study ◽  
Genetic Regulation ◽  
Acetolactate Synthase ◽  
Snp Markers ◽  
Protein Amino Acid ◽  
Single Nucleotide ◽  
Genome Wide ◽  
A Genome ◽  
A Minor

Watermelon is a good source of citrulline, a non-protein amino acid. Citrulline has several therapeutic and clinical implications as it produces nitric oxide via arginine. In plants, citrulline plays a pivotal role in nitrogen transport and osmoprotection. The purpose of this study was to identify single nucleotide polymorphism (SNP) markers associated with citrulline metabolism using a genome-wide association study (GWAS) and understand the role of citrulline in watermelon domestication. A watermelon collection consisting of 187 wild, landraces, and cultivated accessions was used to estimate citrulline content. An association analysis involved a total of 12,125 SNPs with a minor allele frequency (MAF) >0.05 in understanding the population structure and phylogeny in light of citrulline accumulation. Wild egusi types and landraces contained low to medium citrulline content, whereas cultivars had higher content, which suggests that obtaining higher content of citrulline is a domesticated trait. GWAS analysis identified candidate genes (ferrochelatase and acetolactate synthase) showing a significant association of SNPs with citrulline content. Haplotype networking indicated positive selection from wild to domesticated watermelon. To our knowledge, this is the first study showing genetic regulation of citrulline variation in plants by using a GWAS strategy. These results provide new insights into the citrulline metabolism in plants and the possibility of incorporating high citrulline as a trait in watermelon breeding programs.

scholarly journals Identification of Marbling Gene Loci in Commercial Pigs in Canadian Herds

Agriculture ◽  
2018 ◽  
Vol 8 (8) ◽  
pp. 122 ◽  
Author(s):  
William Meadus ◽  
Pascale Duff ◽  
Manuel Juarez ◽  
Jordan Roberts ◽  
Jennifer Zantinge
Keyword(s):  
Genome Wide Association Study ◽  
Glycine Receptor ◽  
Intramuscular Fat ◽  
Snp Markers ◽  
Sample Population ◽  
Fat Percentage ◽  
Large White ◽  
Single Nucleotide ◽  
Genome Wide ◽  
A Genome

A genome-wide association study (GWAS) was performed on the intramuscular fat percentage in pork chops in commercially available swine in Canada. The Duroc, Iberian, Lacombe, Berkshire, and Pietrain breeds were crossed with Large White sows, and their F1 offspring were ranked according to the intramuscular fat percentage (IMF %) obtained in their longissimus dorsi (LD) muscle loin chops. The ideal IMF % is considered to be >3%, whereas the average is ~1.5% in North American pork. The genetics of the top 10% and bottom 10% from our sample population were analysed by using 80,000 single nucleotide polymorphism (SNP) microarrays in the GWAS. Our sample population had an average IMF % of 2.5 ± 0.7%, but some pork achieved >7% IMF. GWAS analysis revealed SNP markers which were associated with the highest marbled pork chops on chromosomes 5, 7, and 16. Using the Sus scrofa/ susScr 11.1 map, we determined that the nearest genes were sarcospan (SSPN), Rh-associated glycoprotein (RHAG), and EGF-like fibronectin and laminin G (EGFLAM), which can be linked with muscular dystrophy disorders. We tested a subpopulation of Duroc-sired animals and found a different set of markers close to glycine receptor beta (GRLB) and potassium channel 3 (KCNJ3) on chromosomes 8 and 15. Based on our results, we could achieve pork with a good IMF of >4% from animals commercially bred and raised to standard market weights of 110 kg. The choice of obtaining a good marbling line of pigs is not necessarily breed-specific, but it is line-specific.

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