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.

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 Utilization of Molecular Marker Based Genetic Diversity Patterns in Hybrid Parents to Develop Better Forage Quality Multi-Cut Hybrids in Pearl Millet

Agriculture ◽  
2019 ◽  
Vol 9 (5) ◽  
pp. 97 ◽  
Author(s):  
Govintharaj Ponnaiah ◽  
Shashi Kumar Gupta ◽  
Michael Blümmel ◽  
Maheswaran Marappa ◽  
Sumathi Pichaikannu ◽  
...  
Keyword(s):  
Genetic Diversity ◽  
Genetic Distance ◽  
Pearl Millet ◽  
Morphological Traits ◽  
Forage Quality ◽  
Genotyping By Sequencing ◽  
Single Nucleotide ◽  
Breeding Programs ◽  
Clear Cut

Genetic diversity of 130 forage-type hybrid parents of pearl millet was investigated based on multiple season data of morphological traits and two type of markers: SSRs (Simple sequence repeats) and GBS identified SNPs (Genotyping by sequencing-Single nucleotide polymorphism). Most of the seed and pollinator parents clustered into two clear-cut separate groups based on marker based genetic distance. Significant variations were found for forage related morphological traits at different cutting intervals (first and second cut) in hybrid parents. Across two cuts, crude protein (CP) varied from 11% to 15%, while in vitro organic matter digestibility (IVOMD) varied from 51% to 56%. Eighty hybrids evaluated in multi-location trial along with their parents for forage traits showed that significant heterosis can be realized for forage traits. A low but positive significant correlation found between SSR based genetic distance (GD between parents of hybrid) and heterosis for most of the forage traits indicated that SSR-based GD can be used for predicting heterosis for GFY, DFY and CP in pearl millet. An attempt was made to associate marker-based clusters with forage quality traits, to enable breeders select parents for crossing purposes in forage breeding programs.

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 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 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 Genetic Diversity Assessed by Genotyping by Sequencing (GBS) in Watermelon Germplasm

Genes ◽  
2019 ◽  
Vol 10 (10) ◽  
pp. 822 ◽  
Author(s):  
Kyung Jun Lee ◽  
Jung-Ro Lee ◽  
Raveendar Sebastin ◽  
Myoung-Jae Shin ◽  
Seong-Hoon Kim ◽  
...  
Keyword(s):  
Genetic Diversity ◽  
Population Structure ◽  
Discriminant Analysis ◽  
Single Nucleotide Polymorphisms ◽  
Genetic Differentiation ◽  
Principal Components ◽  
Genotyping By Sequencing ◽  
Nucleotide Polymorphisms ◽  
Single Nucleotide ◽  
Breeding Programs

Watermelon is an economically important vegetable fruit worldwide. The objective of this study was to conduct a genetic diversity of 68 watermelon accessions using single nucleotide polymorphisms (SNPs). Genotyping by sequencing (GBS) was used to discover SNPs and assess genetic diversity and population structure using STRUCTURE and discriminant analysis of principal components (DAPC) in watermelon accessions. Two groups of watermelons were used: 1) highly utilized 41 watermelon accessions at the National Agrobiodiversity Center (NAC) at the Rural Development Administration in South Korea; and 2) 27 Korean commercial watermelons. Results revealed the presence of four clusters within the populations differentiated principally based on seed companies. In addition, there was higher genetic differentiation among commercial watermelons of each company. It is hypothesized that the results obtained from this study would contribute towards the expansion of this crop as well as providing data about genetic diversity, which would be useful for the preservation of genetic resources or for future breeding programs.

scholarly journals Genetic Diversity and Population Structure Analysis of the USDA Olive Germplasm Using Genotyping-By-Sequencing (GBS)

Genes ◽  
2021 ◽  
Vol 12 (12) ◽  
pp. 2007
Author(s):  
A. S. M. Faridul Islam ◽  
Dean Sanders ◽  
Amit Kumar Mishra ◽  
Vijay Joshi
Keyword(s):  
Genetic Diversity ◽  
Population Structure ◽  
Structure Analysis ◽  
Genotyping By Sequencing ◽  
The United States ◽  
Snp Markers ◽  
Breeding Programs ◽  
The Us ◽  
The Mediterranean ◽  
Olive Breeding

Olives are one of the most important fruit and woody oil trees cultivated in many parts of the world. Olive oil is a critical component of the Mediterranean diet due to its importance in heart health. Olives are believed to have been brought to the United States from the Mediterranean countries in the 18th century. Despite the increase in demand and production areas, only a few selected olive varieties are grown in most traditional or new growing regions in the US. By understanding the genetic background, new sources of genetic diversity can be incorporated into the olive breeding programs to develop regionally adapted varieties for the US market. This study aimed to explore the genetic diversity and population structure of 90 olive accessions from the USDA repository along with six popular varieties using genotyping-by-sequencing (GBS)-generated SNP markers. After quality filtering, 54,075 SNP markers were retained for the genetic diversity analysis. The average gene diversity (GD) and polymorphic information content (PIC) values of the SNPs were 0.244 and 0.206, respectively, indicating a moderate genetic diversity for the US olive germplasm evaluated in this study. The structure analysis showed that the USDA collection was distributed across seven subpopulations; 63% of the accessions were grouped into an identifiable subpopulation. The phylogenetic and principal coordinate analysis (PCoA) showed that the subpopulations did not align with the geographical origins or climatic zones. An analysis of the molecular variance revealed that the major genetic variation sources were within populations. These findings provide critical information for future olive breeding programs to select genetically distant parents and facilitate future gene identification using genome-wide association studies (GWAS) or a marker-assisted selection (MAS) to develop varieties suited to production in the US.

scholarly journals Identification of SNP Markers Associated with Iron and Zinc Concentrations in Cicer Seeds

2020 ◽  
Vol 21 (3) ◽  
pp. 212-223
Author(s):  
Nur Karaca ◽  
Duygu Ates ◽  
Seda Nemli ◽  
Esin Ozkuru ◽  
Hasan Yilmaz ◽  
...  
Keyword(s):  
Principal Component ◽  
Genotyping By Sequencing ◽  
Mixed Linear Model ◽  
Snp Markers ◽  
Sequencing Analysis ◽  
Single Nucleotide ◽  
Breeding Programs ◽  
Zn Concentration ◽  
Iron And Zinc ◽  
Zinc Concentrations

Background: Cicer reticulatum L. is the wild progenitor of chickpea Cicer arietinum L., the fourth most important pulse crop in the world. Iron (Fe) and zinc (Zn) are vital micronutrients that play crucial roles in sustaining life by acting as co-factors for various proteins. Aims and Objectives: In order to improve micronutrient-dense chickpea lines, this study aimed to investigate variability and detect DNA markers associated with Fe and Zn concentrations in the seeds of 73 cultivated (C. arietinum L.) and 107 C. reticulatum genotypes. Methods: A set of 180 accessions was genotyped using 20,868 single nucleotide polymorphism (SNP) markers obtained from genotyping by sequencing analysis. Results: The results revealed substantial variation in the seed Fe and Zn concentration of the surveyed population. Using STRUCTURE software, the population structure was divided into two groups according to the principal component analysis and neighbor-joining tree analysis. A total of 23 and 16 associated SNP markers related to Fe and Zn concentrations, respectively were identified in TASSEL software by the mixed linear model method. Significant SNP markers found in more than two environments were accepted as more reliable than those that only existed in a single environment. Conclusion: The identified markers can be used in marker-assisted selection in chickpea breeding programs for the improvement of seed Fe and Zn concentrations in the chickpea.

scholarly journals Genetic Diversity and Population Structure in a Vitis spp. Core Collection Investigated by SNP Markers

Diversity ◽  
2020 ◽  
Vol 12 (3) ◽  
pp. 103 ◽  
Author(s):  
Davide Bianchi ◽  
Lucio Brancadoro ◽  
Gabriella De Lorenzis
Keyword(s):  
Genetic Diversity ◽  
Core Collection ◽  
Snp Markers ◽  
Snp Genotyping ◽  
Single Nucleotide ◽  
Breeding Programs ◽  
Genotyping Array ◽  
Vitis Species ◽  
Sequencing Technologies ◽  
High Degree

Single nucleotide polymorphism (SNP) genotyping arrays are powerful tools to measure the level of genetic polymorphism within a population. The coming of next-generation sequencing technologies led to identifying thousands and millions of SNP loci useful in assessing the genetic diversity. The Vitis genotyping array, containing 18k SNP loci, has been developed and used to detect genetic diversity of Vitis vinifera germplasm. So far, this array was not validated on non-vinifera genotypes used as grapevine rootstocks. In this work, a core collection of 70 grapevine rootstocks, composed of individuals belonging to Vitis species not commonly used in the breeding programs, was genotyped using the 18k SNP genotyping array. SNP results were compared to the established SSR (Simple Sequence Repeat) markers in terms of heterozygosity and genetic structure of the core collection. Genotyping array has proved to be a valuable tool for genotyping of grapevine rootstocks, with more than 90% of SNPs successfully amplified. Structure analysis detected a high degree of admixed genotypes, supported by the complex genetic background of non-vinifera germplasm. Moreover, SNPs clearly differentiated non-vinifera and vinifera germplasm. These results represent a first step in studying the genetic diversity of non-conventional breeding material that will be used to select rootstocks with high tolerance to limiting environmental conditions.

scholarly journals Genetic Diversity of Purple Passion Fruit, Passiflora edulis f. edulis, Based on Single-Nucleotide Polymorphism Markers Discovered through Genotyping by Sequencing

Diversity ◽  
2021 ◽  
Vol 13 (4) ◽  
pp. 144
Author(s):  
Nohra Castillo Rodríguez ◽  
Xingbo Wu ◽  
María Isabel Chacón ◽  
Luz Marina Melgarejo ◽  
Matthew Wohlgemuth Blair
Keyword(s):  
Genetic Diversity ◽  
Single Nucleotide Polymorphism ◽  
Genotyping By Sequencing ◽  
Passion Fruit ◽  
Nucleotide Polymorphism ◽  
Single Nucleotide ◽  
Passiflora Edulis ◽  
Tropical Fruit ◽  
Commercial Cultivars ◽  
Purple Passion Fruit

Orphan crops, which include many of the tropical fruit species used in the juice industry, lack genomic resources and breeding efforts. Typical of this dilemma is the lack of commercial cultivars of purple passion fruit, Passiflora edulis f. edulis, and of information on the genetic resources of its substantial semiwild gene pool. In this study, we develop single-nucleotide polymorphism (SNP) markers for the species and show that the genetic diversity of this fruit crop has been reduced because of selection for cultivated genotypes compared to the semiwild landraces in its center of diversity. A specific objective of the present study was to determine the genetic diversity of cultivars, genebank accession, and landraces through genotyping by sequencing (GBS) and to conduct molecular evaluation of a broad collection for the species P. edulis from a source country, Colombia. We included control genotypes of yellow passion fruit, P. edulis f. flavicarpa. The goal was to evaluate differences between fruit types and compare landraces and genebank accessions from in situ accessions collected from farmers. In total, 3820 SNPs were identified as informative for this diversity study. However, the majority distinguished yellow and purple passion fruit, with 966 SNPs useful in purple passion fruits alone. In the population structure analysis, purple passion fruits were very distinct from the yellow ones. The results for purple passion fruits alone showed reduced diversity for the commercial cultivars while highlighting the higher diversity found among landraces from wild or semi-wild conditions. These landraces had higher heterozygosity, polymorphism, and overall genetic diversity. The implications for genetics and breeding as well as evolution and ecology of purple passion fruits based on the extant landrace diversity are discussed with consideration of manual or pollinator-assisted hybridization of this species.

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