scholarly journals GWAS identifies an ortholog of the rice D11 gene as a candidate gene for grain size in an international collection of hexaploid wheat

2021 ◽  
Vol 11 (1) ◽  
Author(s):  
Honoré Tekeu ◽  
Eddy L. M. Ngonkeu ◽  
Sébastien Bélanger ◽  
Pierre F. Djocgoué ◽  
Amina Abed ◽  
...  
Keyword(s):  
Grain Size ◽  
Candidate Gene ◽  
Hexaploid Wheat ◽  
Snp Array ◽  
Genotyping By Sequencing ◽  
Snp Markers ◽  
Single Nucleotide ◽  
Grain Length ◽  
Snp Data ◽  
Genomic Regions

AbstractGrain size is a key agronomic trait that contributes to grain yield in hexaploid wheat. Grain length and width were evaluated in an international collection of 157 wheat accessions. These accessions were genetically characterized using a genotyping-by-sequencing (GBS) protocol that produced 73,784 single nucleotide polymorphism (SNP) markers. GBS-derived genotype calls obtained on Chinese Spring proved extremely accurate when compared to the reference (> 99.9%) and showed > 95% agreement with calls made at SNP loci shared with the 90 K SNP array on a subset of 71 Canadian wheat accessions for which both types of data were available. This indicates that GBS can yield a large amount of highly accurate SNP data in hexaploid wheat. The genetic diversity analysis performed using this set of SNP markers revealed the presence of six distinct groups within this collection. A GWAS was conducted to uncover genomic regions controlling variation for grain length and width. In total, seven SNPs were found to be associated with one or both traits, identifying three quantitative trait loci (QTLs) located on chromosomes 1D, 2D and 4A. In the vicinity of the peak SNP on chromosome 2D, we found a promising candidate gene (TraesCS2D01G331100), whose rice ortholog (D11) had previously been reported to be involved in the regulation of grain size. These markers will be useful in breeding for enhanced wheat productivity.

scholarly journals GWAS identifies a wheat orthologue of the rice D11 gene as an important contributor to grain size in an international collection of hexaploid wheat

2021 ◽  
Author(s):  
Honoré Tekeu ◽  
Eddy L.M. Ngonkeu ◽  
Sébastien Bélanger ◽  
Pierre F. Djocgoué ◽  
Amina Abed ◽  
...  
Keyword(s):  
Grain Size ◽  
Hexaploid Wheat ◽  
Snp Array ◽  
Genotyping By Sequencing ◽  
Snp Markers ◽  
Promising Candidate ◽  
Single Nucleotide ◽  
Grain Length ◽  
Snp Data ◽  
Genomic Regions

Abstract Grain size is a key agronomic trait that contributes to grain yield in hexaploid wheat. Grain length and width were evaluated in an international collection of 159 wheat accessions. These accessions were genetically characterized using a genotyping-by-sequencing (GBS) protocol that produced 73,784 single nucleotide polymorphism (SNP) markers. GBS-derived genotype calls obtained on Chinese Spring proved extremely accurate when compared to the reference (> 99.9%) and showed > 95% agreement with calls made at SNP loci shared with the 90K SNP array on a subset of 71 Canadian wheat accessions for which both types of data were available. This indicates that GBS can yield a large amount of highly accurate SNP data in hexaploid wheat. The genetic diversity analysis performed using this set of SNP markers revealed the presence of six distinct groups within this collection. A GWAS was conducted to uncover genomic regions controlling variation for grain length and width. In total, seven SNPs were found to be associated with one or both traits, identifying three quantitative trait loci (QTLs) located on chromosomes 1D, 2D and 4A. In the vicinity of the peak SNP on chromosome 2D, we found a promising candidate gene (TraesCS2D01G331100), whose rice ortholog (D11) had previously been reported to be involved in the regulation of grain size. These markers will be useful in breeding for enhanced wheat productivity.

scholarly journals Marginal Grapevine Germplasm from Apulia (Southern Italy) Represents an Unexplored Source of Genetic Diversity

Agronomy ◽  
2020 ◽  
Vol 10 (4) ◽  
pp. 563 ◽  
Author(s):  
Monica Marilena Miazzi ◽  
Nunzio D’Agostino ◽  
Valentina di Rienzo ◽  
Pasquale Venerito ◽  
Vito Nicola Savino ◽  
...  
Keyword(s):  
Genetic Diversity ◽  
Genetic Resources ◽  
Genotyping By Sequencing ◽  
Snp Markers ◽  
Gene Pools ◽  
Single Nucleotide ◽  
Breeding Programs ◽  
Snp Data ◽  
Data Points ◽  
Genetic Clusters

The investigation on the genetic diversity of grapevine germplasm is crucial for a more efficient use of grapevine genetic resources in light of changing environmental conditions. Here, we used simple sequence repeats (SSRs) coupled with single nucleotide polymorphism (SNP) markers to disclose grapevine genetic diversity of a collection of Apulian minor/neglected genotypes. Their relationships with national or international cultivars were also examined. Genetic diversity was investigated using 10 SSR markers and 1,178 SNPs generated by genotyping by sequencing (GBS). Based on the SSR data, the 128 genotypes were classified into six main genetic clusters. Twenty-four putative cases of synonymy and 2 of misnamings were detected. Ten “unknown” autochthonous genotypes did not show high similarity to Apulian, national, or international varieties. We took advantage of available GBS-derived SNP data points for only forty genotypes to better investigate the genetic distance among them, identify private SNP alleles, and divergent loci putatively under selection. Based on SNP alleles, two interesting gene pools of minor/neglected Apulian samples were identified. Genetic divergence was investigated by FST and allowed the detection of loci capable of differentiating the gene pools. Overall, this work emphasizes the need for recovering the untapped genetic variability that characterizes minor/neglected grapevine Apulian genotypes and the requirement to preserve and use more efficiently grapevine genetic resources in breeding programs.

scholarly journals Candidate Genes for the High-Altitude Adaptations of Two Mountain Pine Taxa

2021 ◽  
Vol 22 (7) ◽  
pp. 3477
Author(s):  
Julia Zaborowska ◽  
Bartosz Łabiszak ◽  
Annika Perry ◽  
Stephen Cavers ◽  
Witold Wachowiak
Keyword(s):  
Population Structure ◽  
Candidate Genes ◽  
Genetic Basis ◽  
Redox Homeostasis ◽  
Snp Markers ◽  
Regulation Of Transcription ◽  
Single Nucleotide ◽  
Homeostasis Regulation ◽  
Genomic Regions ◽  
Mountain Plants

Mountain plants, challenged by vegetation time contractions and dynamic changes in environmental conditions, developed adaptations that help them to balance their growth, reproduction, survival, and regeneration. However, knowledge regarding the genetic basis of species adaptation to higher altitudes remain scarce for most plant species. Here, we attempted to identify such corresponding genomic regions of high evolutionary importance in two closely related European pines, Pinus mugo and P. uncinata, contrasting them with a reference lowland relative—P. sylvestris. We genotyped 438 samples at thousands of single nucleotide polymorphism (SNP) markers, tested their genetic differentiation and population structure followed by outlier detection and gene ontology annotations. Markers clearly differentiated the species and uncovered patterns of population structure in two of them. In P. uncinata three Pyrenean sites were grouped together, while two outlying populations constituted a separate cluster. In P. sylvestris, Spanish population appeared distinct from the remaining four European sites. Between mountain pines and the reference species, 35 candidate genes for altitude-dependent selection were identified, including such encoding proteins responsible for photosynthesis, photorespiration and cell redox homeostasis, regulation of transcription, and mRNA processing. In comparison between two mountain pines, 75 outlier SNPs were found in proteins involved mainly in the gene expression and metabolism.

scholarly journals Two SNP Markers Identified Using Genotyping-by-Sequencing Are Associated with Remontancy in a Segregating F1 Population of Syringa meyeri ‘Palibin’ × S. pubescens ‘Penda’ Bloomerang®

2020 ◽  
Vol 145 (2) ◽  
pp. 104-109
Author(s):  
Hsuan Chen ◽  
Jason D. Lattier ◽  
Kelly Vining ◽  
Ryan N. Contreras
Keyword(s):  
Ornamental Plants ◽  
Genotyping By Sequencing ◽  
Snp Markers ◽  
Sequence Information ◽  
Specific Marker ◽  
Nucleotide Polymorphism ◽  
Additive Interaction ◽  
Single Nucleotide ◽  
Position Information ◽  
Flowering Season

Lilacs (Syringa sp.) have been used as ornamental plants since the mid-16th century and remain important in modern gardens due to their attractive and fragrant flowers. However, a short flowering season is a critical drawback for their ornamental value. Breeders have identified remontancy (reblooming) in dwarf lilac (Syringa pubescens), and have tried to introgress this trait into related species by interspecific hybridization. Molecular tools for lilac breeding are limited because of the shortage of genome sequence knowledge and currently no molecular markers are available to use in breeding for remontancy. In this study, an F1 population from crossing Syringa meyeri ‘Palibin’ × S. pubescens ‘Penda’ Bloomerang® Purple was created and subjected to genotyping-by-sequencing (GBS) analysis and phenotyped for remontancy. Plants were categorized as remontant, semi-remontant, and nonremontant based on the relative quantity of inflorescences during the second flush of flowers. A total of 20,730 single-nucleotide polymorphism (SNP) markers from GBS were used in marker-trait association to find remontant-specific marker(s) without marker position information. Two SNP markers, TP70580 (A locus) and TP82604 (B locus), were correlated with remontancy. The two loci showed a partial epistasis and additive interaction effects on the level of remontancy. Accumulation of recessive alleles at the two loci was positively correlated with increased reblooming. For example, 87% of aabb plants were remontant, and only 9% were nonremontant. In contrast, 100% of AaBB plants were nonremontant. These two SNP markers associated with remontancy will be useful in developing markers for future breeding and demonstrate the feasibility of developing markers for breeding woody ornamental taxa that lack a reference genome or extensive DNA sequence information.

NIASGBsnp: integration of single nucleotide polymorphism data of rice (Oryzasativa L.) genetic resources

2013 ◽  
Vol 11 (3) ◽  
pp. 221-224
Author(s):  
Masaru Takeya ◽  
Fukuhiro Yamasaki ◽  
Sachiko Hattori ◽  
Kaworu Ebana
Keyword(s):  
Single Nucleotide Polymorphism ◽  
Plant Pathology ◽  
Single Nucleotide Polymorphisms ◽  
Genetic Resources ◽  
Snp Markers ◽  
Nucleotide Polymorphisms ◽  
Nucleotide Polymorphism ◽  
Single Nucleotide ◽  
Snp Data ◽  
Polymorphism Data

The NIASGBsnp system manages data on single nucleotide polymorphisms (SNPs) of rice (Oryzasativa L.) genetic resources in the National Institute of Agrobiological Science (NIAS) Genebank. NIASGBsnp currently holds data on 768 SNP markers for 301 rice accessions and plans to add the SNP data of active rice accessions in the NIAS Genebank. It can show differences between accessions by graphical genotyping. Passport, characteristics and evaluation data of accessions can be retrieved to allow phenotype to be associated with genotype. NIASGBsnp will support various research purposes such as genomic selection and plant pathology research.

scholarly journals Genome-wide association for mapping QTLs linked to protein and oil contents in soybean

2017 ◽  
Vol 52 (10) ◽  
pp. 896-904
Author(s):  
Douglas Antônio Dias ◽  
Leandra Regina Texeira Polo ◽  
Fabiane Lazzari ◽  
Glacy Jaqueline da Silva ◽  
Ivan Schuster
Keyword(s):  
Protein Content ◽  
Oil Content ◽  
Near Infrared ◽  
Snp Markers ◽  
Regression Analyses ◽  
Nucleotide Polymorphism ◽  
Near Infrared Reflectance ◽  
Single Nucleotide ◽  
Genome Wide ◽  
Genomic Regions

Abstract: The objective of this work was to identify single-nucleotide polymorphism (SNP) markers linked with quantitative trait loci (QTLs) associated with increased contents of protein and oil in soybean. A total of 169 Brazilian soybean varieties, genotyped with 6,000 SNP markers, were evaluated. Protein and oil contents were obtained with the near-infrared reflectance method. Correlation and multiple linear regression analyses were used to identify linkage disequilibrium between SNP markers and the QTLs associated with the two characteristics. Seven QTLs were found to be associated with protein content, on six chromosomes (2, 6, 11, 12, 13, and 16), explaining 60.9% of the variation in this trait. For oil content, eight QTLs were identified on six chromosomes (1, 4, 5, 6, 17, and 19), explaining 78.3% of the variation in the trait. The correlation between the number of loci containing favorable alleles and the evaluated characteristics was 0.49 for protein content and 0.60 for oil content. The molecular markers identified are mapped in genomic regions containing QTLs previously mapped for both characteristics, which reinforces the association between these regions and the genetic control of oil and protein contents in soybean.

scholarly journals Genetic diversity and association analysis of leafminer (Liriomyza langei) resistance in spinach (Spinacia oleracea)

Genome ◽  
2016 ◽  
Vol 59 (8) ◽  
pp. 581-588 ◽  
Author(s):  
Ainong Shi ◽  
Beiquan Mou
Keyword(s):  
Association Analysis ◽  
Spinacia Oleracea ◽  
Insect Pest ◽  
Genetic Resistance ◽  
Genotyping By Sequencing ◽  
Complex Trait ◽  
Snp Markers ◽  
Minor Effect ◽  
Single Nucleotide ◽  
Wide Range

Leafminer (Liriomyza langei) is a major insect pest of many important agricultural crops, including spinach (Spinacia oleracea). Use of genetic resistance is an efficient, economic, and environment-friendly method to control this pest. The objective of this research was to conduct association analysis and identify single nucleotide polymorphism (SNP) markers associated with leafminer resistance in spinach germplasm. A total of 300 USDA spinach germplasm accessions were used for the association analysis of leafminer resistance. Genotyping by sequencing (GBS) was used for genotyping and 783 SNPs from GBS were used for association analysis. The leafminer resistance showed a near normal distribution with a wide range from 1.1 to 11.7 stings per square centimeter leaf area, suggesting that the leafminer resistance in spinach is a complex trait controlled by multiple genes with minor effect in this spinach panel. Association analysis indicated that five SNP markers, AYZV02040968_7171, AYZV02076752_412, AYZV02098618_4615, AYZV02147304_383, and AYZV02271373_398, were associated with the leafminer resistance with LOD 2.5 or higher. The SNP markers may be useful for breeders to select plants and lines for leafminer resistance in spinach breeding programs through marker-assisted selection.

One century of Nordic barley breeding: nitrogen use efficiency, agronomic traits and genetic diversity

2016 ◽  
Vol 155 (4) ◽  
pp. 582-598 ◽  
Author(s):  
A. RAJALA ◽  
P. PELTONEN-SAINIO ◽  
M. JALLI ◽  
L. JAUHIAINEN ◽  
A. HANNUKKALA ◽  
...  
Keyword(s):  
Genetic Diversity ◽  
Nitrogen Use Efficiency ◽  
Agronomic Traits ◽  
N Uptake ◽  
Germplasm Collection ◽  
Snp Markers ◽  
Nitrogen Use ◽  
Single Nucleotide ◽  
Snp Data ◽  
Use Efficiency

SUMMARYThe current study aimed to evaluate breeding effect on nitrogen use efficiency (NUE), its components and some agronomic traits and disease resistance in barley by using extensive germplasm covering 72 landraces and 123 cultivars released since 1910. Trials were established in southern Finland with a modified strip-plot experimental design. Prior to sowing, blocks were placement fertilized with compound nitrogen : phosphorus : potassium (NPK) fertilizer (N-P-K: 20–3–8) at the rate of 35 and 70 kg N/ha and unfertilized plots were placed at the other end of the fertilization block. The germplasm collection was genotyped with 1536 single nucleotide polymorphism (SNP) markers and phenotyped during a 2-year field experiment in 2011/12. Independent of row type, a positive breeding effect was evident in NUE and for other plant N traits, except that grain N slightly decreased. Breeding has improved NUE by 0·08 kg/year (26% over the century). Nitrogen utilization and N uptake efficiencies were also improved by breeding as were straw length, lodging tolerance, grain yield and yield components, without any sign of levelling-off. Bred cultivars were more resistant to leaf-damaging diseases, especially to net blotch. The SNP data indicated no reduction in overall genetic diversity. However, genetic diversity differed along the barley chromosomes showing either reduced or increased diversity in certain regions when landraces were compared with modern varieties.

scholarly journals Genotyping by Multiplexed Sequencing (GMS) protocol in Barley

Euphytica ◽  
2021 ◽  
Vol 217 (4) ◽  
Author(s):  
Jonathan Eagle ◽  
Travis Ruff ◽  
Marcus Hooker ◽  
Sajal Sthapit ◽  
Elliott Marston ◽  
...  
Keyword(s):  
Direct Sequencing ◽  
Genotyping By Sequencing ◽  
Read Depth ◽  
Snp Markers ◽  
Direct Sequence ◽  
Nucleotide Polymorphism ◽  
Accurate Analysis ◽  
Single Nucleotide ◽  
Analysis Process ◽  
Robust Protocol

AbstractGenotyping by sequencing (GBS) and single nucleotide polymorphism (SNP) chip technologies are the primary SNP genotyping technologies used today. However, these genotyping technologies have some drawbacks that limit their usefulness in analysis. We have developed a robust protocol called genotyping by multiplexed sequencing (GMS) using SNP markers, providing informative genotypic data with greater flexibility. The genotypes derived from direct sequence reads reduce ambiguity in genetic analysis. The advantages of this protocol include: (1) This PCR-based direct sequencing protocol generates information from markers of interest and provides a more streamlined and accurate analysis process, by multiplexing hundreds of informative markers into a single sequencing run. (2) The marker sets are easily customized to the species of interest and can readily be changed. In this study we have taken the GMS protocol developed in wheat and adapted it to barley. We have identified 577 SNP markers that work well using this protocol providing adequate genome coverage for genomic selection and tag 267 QTL’s for genes of interest. Good markers have an adequate read depth of at least 5 amplicons and are reliably present across the population.

scholarly journals Development and Characterization of 37 SNP Markers For The Largemouth Bass (Micropterus Salmoides) By Using PCR-RFLP Method

2021 ◽  
Author(s):  
Zhou Jiang ◽  
Jiao Cui ◽  
Jiaqi Shao ◽  
Chuanju Dong ◽  
Jinxing Du ◽  
...  
Keyword(s):  
Largemouth Bass ◽  
Polymorphic Information Content ◽  
Micropterus Salmoides ◽  
Genotyping By Sequencing ◽  
Snp Markers ◽  
Single Nucleotide ◽  
Important Species ◽  
Pcr Rflp ◽  
Hardy Weinberg Equilibrium

Abstract Largemouth bass (Micropterus salmoides) is an economically important species in China. Contrary to its rapidly increasing yield during the last decades, the domestic genetic diversity of largemouth bass has gradually declined. For further rationally excavation and utilization of largemouth bass germplasm resources, 37 single nucleotide polymorphism (SNP) markers were developed based on genotyping-by-sequencing (GBS) data and characterized by genotyping 32 individuals using the PCR-RFLP method. The effective number of alleles (Ne), observed heterozygosity (Ho), expected heterozygosity (He), and polymorphic information content (PIC) of these SNPs ranged from 1.168 to 1.998, 0.156 to 0.844, 0.146 to 0.507, and 0.134 to 0.375, respectively. Totally, five loci deviated significantly from Hardy-Weinberg equilibrium (p < 0.05), while there existed no linkage disequilibrium at all loci. These novel polymorphic markers will lay the foundation for future population and conservation genetics of M. salmoides.

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