scholarly journals Single nucleotide polymorphism calling and imputation strategies for cost‐effective genotyping in a tropical maize breeding program

Crop Science ◽  
2020 ◽  
Vol 60 (6) ◽  
pp. 3066-3082
Author(s):  
Amanda Avelar Oliveira ◽  
Lauro José Moreira Guimarães ◽  
Claudia Teixeira Guimarães ◽  
Paulo Evaristo de Oliveira Guimarães ◽  
Marcos de Oliveira Pinto ◽  
...  
Keyword(s):  
Single Nucleotide Polymorphism ◽  
Cost Effective ◽  
Breeding Program ◽  
Tropical Maize ◽  
Nucleotide Polymorphism ◽  
Maize Breeding ◽  
Single Nucleotide ◽  
Single Nucleotide Polymorphism Calling

scholarly journals Genome-Wide Linkage Mapping for Preharvest Sprouting Resistance in Wheat Using 15K Single-Nucleotide Polymorphism Arrays

2021 ◽  
Vol 12 ◽  
Author(s):  
Lingli Li ◽  
Yingjun Zhang ◽  
Yong Zhang ◽  
Ming Li ◽  
Dengan Xu ◽  
...  
Keyword(s):  
Single Nucleotide Polymorphism ◽  
Linkage Mapping ◽  
Cost Effective ◽  
Wheat Breeding ◽  
Preharvest Sprouting ◽  
Nucleotide Polymorphism ◽  
Single Nucleotide ◽  
Specific Pcr ◽  
Grain Color ◽  
Sprouting Resistance

Preharvest sprouting (PHS) significantly reduces grain yield and quality. Identification of genetic loci for PHS resistance will facilitate breeding sprouting-resistant wheat cultivars. In this study, we constructed a genetic map comprising 1,702 non-redundant markers in a recombinant inbred line (RIL) population derived from cross Yangxiaomai/Zhongyou9507 using the wheat 15K single-nucleotide polymorphism (SNP) assay. Four quantitative trait loci (QTL) for germination index (GI), a major indicator of PHS, were identified, explaining 4.6–18.5% of the phenotypic variances. Resistance alleles of Qphs.caas-3AL, Qphs.caas-3DL, and Qphs.caas-7BL were from Yangxiaomai, and Zhongyou9507 contributed a resistance allele in Qphs.caas-4AL. No epistatic effects were detected among the QTL, and combined resistance alleles significantly increased PHS resistance. Sequencing and linkage mapping showed that Qphs.caas-3AL and Qphs.caas-3DL corresponded to grain color genes Tamyb10-A and Tamyb10-D, respectively, whereas Qphs.caas-4AL and Qphs.caas-7BL were probably new QTL for PHS. We further developed cost-effective, high-throughput kompetitive allele-specific PCR (KASP) markers tightly linked to Qphs.caas-4AL and Qphs.caas-7BL and validated their association with GI in a test panel of cultivars. The resistance alleles at the Qphs.caas-4AL and Qphs.caas-7BL loci were present in 72.2 and 16.5% cultivars, respectively, suggesting that the former might be subjected to positive selection in wheat breeding. The findings provide not only genetic resources for PHS resistance but also breeding tools for marker-assisted selection.

scholarly journals Molecular Fingerprinting and Hybridity Authentication in Cowpea Using Single Nucleotide Polymorphism Based Kompetitive Allele-Specific PCR Assay

2021 ◽  
Vol 12 ◽  
Author(s):  
Patrick Obia Ongom ◽  
Christian Fatokun ◽  
Abou Togola ◽  
Stella Salvo ◽  
Oluwaseye Gideon Oyebode ◽  
...  
Keyword(s):  
Single Nucleotide Polymorphism ◽  
Principal Component ◽  
Snp Markers ◽  
Breeding Program ◽  
Molecular Fingerprinting ◽  
Nucleotide Polymorphism ◽  
Single Nucleotide ◽  
Specific Pcr ◽  
Allele Specific ◽  
Allele Specific Pcr

Optimization of a breeding program for increased genetic gain requires quality assurance (QA) and quality control (QC) at key phases of the breeding process. One vital phase in a breeding program that requires QC and QA is the choice of parents and successful hybridizations to combine parental attributes and create variations. The objective of this study was to determine parental diversity and confirm hybridity of cowpea F1 progenies using KASP (Kompetitive Allele-Specific PCR)-based single nucleotide polymorphism (SNP) markers. A total of 1,436 F1 plants were derived from crossing 220 cowpea breeding lines and landraces to 2 elite sister lines IT99K-573-1-1 and IT99K-573-2-1 as male parents, constituting 225 cross combinations. The progenies and the parents were genotyped with 17 QC SNP markers via high-throughput KASP genotyping assay. The QC markers differentiated the parents with mean efficiency of 37.90% and a range of 3.4–82.8%, revealing unique fingerprints of the parents. Neighbor-Joining cladogram divided the 222 parents into 3 clusters. Genetic distances between parents ranged from 0 to 3.74 with a mean of 2.41. Principal component analysis (PCA) depicted a considerable overlap between parents and F1 progenies with more scatters among parents than the F1s. The differentiation among parents and F1s was best contributed to by 82% of the markers. As expected, parents and F1s showed a significant contrast in proportion of heterozygous individuals, with mean values of 0.02 and 0.32, respectively. KASP markers detected true hybridity with 100% success rate in 72% of the populations. Overall, 79% of the putative F1 plants were true hybrids, 14% were selfed plants, and 7% were undetermined due to missing data and lack of marker polymorphism between parents. The study demonstrated an effective application of KASP-based SNP assay in fingerprinting, confirmation of hybridity, and early detection of false F1 plants. The results further uncovered the need to deploy markers as a QC step in a breeding program.

scholarly journals Evaluation of F-Measure and Feature Analysis of C5.0 Implementation on Single Nucleotide Polymorphism Calling

2018 ◽  
Vol 1 (1) ◽  
pp. 1
Author(s):  
Lailan Sahrina Hasibuan ◽  
Sita Nabila ◽  
Nurul Hudachair ◽  
Muhammad Abrar Istiadi
Keyword(s):  
Single Nucleotide Polymorphism ◽  
The Other ◽  
Training Dataset ◽  
Final Decision ◽  
Nucleotide Polymorphism ◽  
Single Nucleotide ◽  
Rule Based ◽  
Snp Calling ◽  
Single Nucleotide Polymorphism Calling ◽  
F Measure

Data growing in molecular biology has increased rapidly since Next-Generation Sequencing (NGS) technology introduced in 2000, the latest technology used to sequence DNA with high throughput. Single Nucleotide Polymorphism (SNP) is a marker based on DNA which can be used to identify organism specifically. SNPs are usually exploited for optimizing parents selection in producing high-quality seed for plant breeding. This paper discusses SNP calling underlying NGS data of cultivated soybean (Glycine max [L]. Merr) using C5.0, an improved rule-based algorithm of C4.5. The evaluation illustrated that C5.0 is better than the other rule-based algorithm CART based on f-measure. The value of f-measure using C5.0 and CART are 0.63 and 0.58. Besides of that, C5.0 is robust for imbalanced training dataset up to 1:17 but it is suffer in large training dataset. C5.0’s performance may be increased by applying bagging or the other ensemble technique as improvement of CART by applying bagging in final decision. The other important thing is using appropriate features in representing SNP candidates. Based on information gain of C5.0, this paper recommends error probability, homopolymer left, mismatch alt and mean nearby qual as features for SNP calling.

scholarly journals A single-nucleotide polymorphism-based approach for rapid and cost-effective genetic wolf monitoring in Europe based on noninvasively collected samples

2014 ◽  
Vol 15 (2) ◽  
pp. 295-305 ◽  
Author(s):  
Robert H. S. Kraus ◽  
Bridgett vonHoldt ◽  
Berardino Cocchiararo ◽  
Verena Harms ◽  
Helmut Bayerl ◽  
...  
Keyword(s):  
Single Nucleotide Polymorphism ◽  
Cost Effective ◽  
Nucleotide Polymorphism ◽  
Single Nucleotide
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