scholarly journals Mining Single Nucleotide Polymorphism (SNP) Markers for Accurate Genotype Identification and Diversity Analysis of Chinese Jujube (Ziziphus jujuba Mill.) Germplasm

Agronomy ◽  
2021 ◽  
Vol 11 (11) ◽  
pp. 2303
Author(s):  
Lihua Song ◽  
Bing Cao ◽  
Yue Zhang ◽  
Lyndel W. Meinhardt ◽  
Dapeng Zhang
Keyword(s):  
Single Nucleotide Polymorphism ◽  
Germplasm Collection ◽  
Snp Markers ◽  
High Rate ◽  
Pedigree Information ◽  
Nucleotide Polymorphism ◽  
Chinese Jujube ◽  
Single Nucleotide ◽  
Climate Conditions ◽  
Ziziphus Jujuba

Chinese jujube (Ziziphus jujuba Mill.) is an economically important fruit tree with outstanding adaptability to marginal lands and a broad range of climate conditions. There are over 800 cultivars, mostly landraces from China. However, a high rate of mislabeling in Chinese jujube germplasm restricts the sharing of information and materials among jujube researchers and hampers the use of jujube germplasm in breeding. In the present study, we developed a large panel of single nucleotide polymorphism (SNP) markers and validated 288 SNPs by genotyping 114 accessions of Chinese jujube germplasm. The validation resulted in the designation of a set of 192 polymorphic SNP markers that revealed a high rate of synonymous mislabeling in the jujube germplasm collection in Ningxia, China. A total of 17 groups of duplicates were detected, encompassing 49 of the 114 Chinese jujube cultivars. Model-based population stratification revealed two germplasm groups, and the core members of the two groups showed a significant genetic differentiation (Fst = 0.16). The results supported the hypothesis that the cultivated Chinese jujube had multiple origins and multiple regions of domestication. The Neighbor-Joining dendrogram further revealed that this collection is comprised of multiple sub-groups, each including 1-13 closely related cultivars. Parentage analysis of cultivars with known pedigree information proved the efficacy of using these SNP markers for parentage verification. A subset of 96 SNPs with high information index was selected for future downstream application including gene bank management, verification of pedigrees in breeding programs, quality control for propagation of planting materials and support of the traceability and authentication of jujube products.

Genetic diversity and ancestry of cacao (Theobroma cacao L.) in Dominica revealed by single nucleotide polymorphism markers

Genome ◽  
2020 ◽  
Vol 63 (12) ◽  
pp. 583-595
Author(s):  
David Gopaulchan ◽  
Lambert A. Motilal ◽  
Rena K. Kalloo ◽  
Amrita Mahabir ◽  
Marissa Moses ◽  
...  
Keyword(s):  
Single Nucleotide Polymorphism ◽  
Theobroma Cacao ◽  
Gene Diversity ◽  
Germplasm Collection ◽  
Snp Markers ◽  
Regional Differentiation ◽  
Nucleotide Polymorphism ◽  
Single Nucleotide ◽  
Geographical Regions ◽  
Theobroma Cacao L

Cacao (Theobroma cacao L.), an introduced tree crop in Dominica, is important for foreign exchange earnings from fine or flavour cocoa. The genetic structure of farmed cacao in Dominica was examined to identify varieties for conservation, breeding, and propagation to improve their cocoa industry. Cacao trees (156) from 73 sites over seven geographical regions were genotyped at 192 single nucleotide polymorphism (SNP) markers. Identity, regional differentiation, phylogenetic, multi-variate, ancestry, and core collection analyses were performed. Farmed cacao germplasm had moderate gene diversity (He = 0.320 ± 0.005) from generally unique trees, but cocoa growing regions were genetically similar. Synonymous matching (16.3%) showed that some clonal material was supplied to farmers. Cacao trees were mainly mixed from Amelonado, Criollo, Iquitos, Contamana, and Marañon ancestries, with predominantly Amelonado–Criollo hybrids. Criollo ancestry, linked to fine or flavour cocoa, was found at more than 30% in 28 unique trees. Forty-five trees, containing the SNP diversity of cacao in Dominica, are recommended as a core germplasm collection. This study identifies promising trees for improving cocoa quality; provides genetic evidence that community, regional, or country-wide pooling would not compromise the exclusive fine or flavour cocoa industry; and discusses other implications towards improving the Dominican cocoa industry.

scholarly journals Detecting strawberry cultivar misidentification in the Philippines using single nucleotide polymorphism markers from the anthocyanin reductase gene

2020 ◽  
Author(s):  
Nadine Adellia Ledesma ◽  
John Mark Matulac ◽  
Jesus Emmanuel Sevilleja ◽  
Maria Luisa Enriquez
Keyword(s):  
Single Nucleotide Polymorphism ◽  
Germplasm Collection ◽  
Optimal Growth ◽  
Molecular Classification ◽  
The Philippines ◽  
Snp Markers ◽  
Germplasm Management ◽  
Nucleotide Polymorphism ◽  
Single Nucleotide ◽  
Small Holder Farmers

ABSTRACTBACKGROUNDCommercial strawberry production in the Philippines is done by small-holder farmers in La Trinidad, Benguet, where the climate is conducive for optimal growth of this temperate crop. However, these farmers are not cognizant of the importance of proper cultivar identification, particularly during runner propagation, distribution, and transplanting. Thus, there is a high likelihood that misidentification of commonly grown cultivars has taken place.OBJECTIVEThe study aimed to develop single nucleotide polymorphism markers and use them to detect possible misidentification among strawberry cultivars.METHODSLeaf samples from several cultivars were obtained from farmers and the germplasm collection of a local university in La Trinidad, Benguet, Philippines. Expressed sequence tags from the ANR gene were screened for putative SNPs. Eleven SNP markers were developed and used to discriminate among the collected samples.RESULTSThe SNP markers grouped the cultivars into five genotypic clusters with seven distinct genotypic identities. Clustering analysis revealed inconsistencies between the farmers’ identification and the molecular classification. ‘Sweet Charlie’ samples were assigned to four genotypic clusters and ‘Strawberry Festival’ samples were grouped into three separate clusters.CONCLUSIONThere is a high probability that cultivar misidentification has indeed occurred. The molecular markers developed in this study could assist in future cultivar verification efforts, germplasm management, and breeding programs.

Assessment of diversity in tropical soybean (Glycine max (L.) Merr.) varieties and elite breeding lines using single nucleotide polymorphism markers

2021 ◽  
Vol 19 (1) ◽  
pp. 20-28
Author(s):  
Abush Tesfaye Abebe ◽  
Adesike Oladoyin Kolawole ◽  
Nnanna Unachukwu ◽  
Godfree Chigeza ◽  
Hailu Tefera ◽  
...  
Keyword(s):  
Genetic Diversity ◽  
Single Nucleotide Polymorphism ◽  
Glycine Max ◽  
Snp Markers ◽  
Fixation Index ◽  
Nucleotide Polymorphism ◽  
Single Nucleotide ◽  
Breeding Lines ◽  
Soybean Germplasm ◽  
Elite Breeding Lines

AbstractSoybean (Glycine max (L.) Merr.) is an important legume crop with high commercial value widely cultivated globally. Thus, the genetic characterization of the existing soybean germplasm will provide useful information for enhanced conservation, improvement and future utilization. This study aimed to assess the extent of genetic diversity of soybean elite breeding lines and varieties developed by the soybean breeding programme of the International Institute of Tropical Agriculture (IITA), Ibadan, Nigeria. The genetic diversity of 65 soybean genotypes was studied using single-nucleotide polymorphism (SNP) markers. The result revealed that 2446 alleles were detected, and the indicators for allelic richness and diversity had good differentiating power in assessing the diversity of the genotypes. The three complementary approaches used in the study grouped the germplasm into three major clusters based on genetic relatedness. The analysis of molecular variance revealed that 71% (P < 0.001) variation was due to among individual genotypes, while 11% (P < 0.001) was ascribed to differences among the three clusters, and the fixation index (FST) was 0.11 for the SNP loci, signifying moderate genetic differentiation among the genotypes. The identified private alleles indicate that the soybean germplasm contains diverse variability that is yet to be exploited. The SNP markers revealed high diversity in the studied germplasm and found to be efficient for assessing genetic diversity in the crop. These results provide valuable information that might be utilized for assessing the genetic variability of soybean and other legume crops germplasm by breeding programmes.

Discovery of single nucleotide polymorphism in Capsicum and SNP markers for cultivar identification

Euphytica ◽  
2010 ◽  
Vol 175 (1) ◽  
pp. 91-107 ◽  
Author(s):  
Jin-kee Jung ◽  
Soung-Woo Park ◽  
Wing Yee Liu ◽  
Byoung-Cheorl Kang
Keyword(s):  
Single Nucleotide Polymorphism ◽  
Cultivar Identification ◽  
Snp Markers ◽  
Nucleotide Polymorphism ◽  
Single Nucleotide

Molecular Characterization of Cacao (Theobroma cacao) Germplasm from Jamaica Using Single Nucleotide Polymorphism (SNP) Markers

2018 ◽  
Vol 11 (3-4) ◽  
pp. 93-106 ◽  
Author(s):  
Aliza A. Lindo ◽  
Dwight E. Robinson ◽  
Paula F. Tennant ◽  
Lyndel W. Meinhardt ◽  
Dapeng Zhang
Keyword(s):  
Single Nucleotide Polymorphism ◽  
Molecular Characterization ◽  
Theobroma Cacao ◽  
Snp Markers ◽  
Nucleotide Polymorphism ◽  
Single Nucleotide

scholarly journals Genetic diversity of released Malaysian rice varieties based on single nucleotide polymorphism markers

2020 ◽  
Vol 56 (No. 2) ◽  
pp. 62-70 ◽  
Author(s):  
Shahril Ab Razak ◽  
Nor Helwa Ezzah Nor Azman ◽  
Rahiniza Kamaruzaman ◽  
Shamsul Amri Saidon ◽  
Muhammad Fairuz Mohd Yusof ◽  
...  
Keyword(s):  
Genetic Diversity ◽  
Single Nucleotide Polymorphism ◽  
Crop Improvement ◽  
Snp Markers ◽  
Group Method ◽  
Chromosome 11 ◽  
Nucleotide Polymorphism ◽  
Rice Varieties ◽  
Single Nucleotide ◽  
K Value

Understanding genetic diversity is a main key for crop improvement and genetic resource management. In this study, we aim to evaluate the genetic diversity of the released Malaysian rice varieties using single nucleotide polymorphism (SNP) markers. A total of 46 released Malaysian rice varieties were genotyped using 1536 SNP markers to evaluate their diversity. Out of 1536 SNPs, only 932 SNPs (60.7%) represented high quality alleles, whereas the remainder either failed to amplify or had low call rates across the samples. Analysis of the 932 SNPs revealed that a total of 16 SNPs were monomorphic. The analysis of the SNPs per chromosome revealed that the average of the polymorphic information content (PIC) value ranged from 0.173 for chromosome 12 to 0.259 for chromosome 11, with an average of 0.213 per locus. The genetic analysis of the 46 released Malaysian rice varieties using an unweighted pair group method with arithmetic mean (UPGMA) dendrogram revealed the presence of two major groups. The analysis was supported by the findings from the STRUCTURE analysis which indicated the ∆K value to be at the highest peak at K = 2, followed by K = 4. The pairwise genetic distance of the shared alleles showed that the value ranged from 0.000 (MR159–MR167) to 0.723 (MRIA–Setanjung), which suggested that MR159 and MR167 were identical, and that the highest dissimilarity was detected between MRIA 1 and Setanjung. The results of the study will be very useful for the variety identification, the proper management and conservation of the genetic resources, and the exploitation and utilisation in future breeding programmes.

Single nucleotide polymorphism (SNP) diversity in an olive germplasm collection

2018 ◽  
pp. 27-32 ◽  
Author(s):  
F. Taranto ◽  
N. D’Agostino ◽  
S. Pavan ◽  
V. Fanelli ◽  
V. di Rienzo ◽  
...  
Keyword(s):  
Single Nucleotide Polymorphism ◽  
Germplasm Collection ◽  
Nucleotide Polymorphism ◽  
Single Nucleotide
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