Assessment of the current infraspecific classification scheme in melon (Cucumis melo L.) based on genome-wide single nucleotide polymorphisms

2020 ◽  
Vol 61 (3) ◽  
pp. 537-547
Author(s):  
Jaemin Jung ◽  
Girim Park ◽  
Juyeol Oh ◽  
Jin-Kee Jung ◽  
Eun-Jo Shim ◽  
...  
Keyword(s):  
Single Nucleotide Polymorphisms ◽  
Cucumis Melo ◽  
Classification Scheme ◽  
Nucleotide Polymorphisms ◽  
Single Nucleotide ◽  
Genome Wide ◽  
Infraspecific Classification ◽  
Cucumis Melo L

Single-nucleotide polymorphisms detected in expressed sequence tags of melon (Cucumis melo L.)

Genome ◽  
2004 ◽  
Vol 47 (2) ◽  
pp. 352-360 ◽  
Author(s):  
M Morales ◽  
E Roig ◽  
A J Monforte ◽  
P Arús ◽  
J Garcia-Mas
Keyword(s):  
Single Nucleotide Polymorphisms ◽  
Cucumis Melo ◽  
Expressed Sequence Tag ◽  
Primer Extension ◽  
Nucleotide Polymorphisms ◽  
Snp Detection ◽  
Single Nucleotide ◽  
Cucumis Melo L ◽  
Single Primer ◽  
Expressed Sequence

A search was performed for single-nucleotide polymorphisms (SNP) and short insertions–deletions (indels) in 34 melon (Cucumis melo L.) expressed sequence tag (EST) fragments between two distantly related melon genotypes, a group Inodorus 'Piel de sapo' market class breeding line T111 and the Korean accession PI 161375. In total, we studied 15 kb of melon sequence. The average frequency of SNPs between the two genotypes was one every 441 bp. One indel was also found every 1666 bp. Seventy-five percent of the polymorphisms were located in introns and the 3′ untranslated regions. On average, there were 1.26 SNPs plus indels per amplicon. We explored three different SNP detection systems to position five of the SNPs in a melon genetic map. Three of the SNPs were mapped using cleaved amplified polymorphic sequence (CAPS) markers, one SNP was mapped using the single primer extension reaction with fluorescent-labelled dideoxynucleotides, and one indel was mapped using polyacrilamide gel electrophoresis separation. The discovery of SNPs based on ESTs and a suitable system for SNP detection has broad potential utility in melon genome mapping.Key words: SNP, CAPS marker, single primer extension.

scholarly journals Identification of genome-wide single-nucleotide polymorphisms among geographically diverse radish accessions

DNA Research ◽  
2020 ◽  
Vol 27 (1) ◽  
Author(s):  
Hiroto Kobayashi ◽  
Kenta Shirasawa ◽  
Nobuko Fukino ◽  
Hideki Hirakawa ◽  
Takashi Akanuma ◽  
...  
Keyword(s):  
Single Nucleotide Polymorphisms ◽  
Southeast Asia ◽  
East Asia ◽  
Near East ◽  
Dna Polymorphisms ◽  
Nucleotide Polymorphisms ◽  
Single Nucleotide ◽  
South And Southeast Asia ◽  
Snp Data ◽  
Genome Wide

Abstract Radish (Raphanus sativus L.) is cultivated around the world as a vegetable crop and exhibits diverse morphological and physiological features. DNA polymorphisms are responsible for differences in traits among cultivars. In this study, we determined genome-wide single-nucleotide polymorphisms (SNPs) among geographically diverse radish accessions using the double-digest restriction site-associated DNA sequencing (ddRAD-Seq) method. A total of 52,559 SNPs was identified in a collection of over 500 radish accessions (cultivated and wild) from East Asia, South and Southeast Asia, and the Occident and Near East. In addition, 2,624 SNP sites without missing data (referred to as common SNP sites) were identified among 510 accessions. Genetic diversity analyses, based on the common SNP sites, divided the cultivated radish accessions into four main groups, each derived from four geographical areas (Japan, East Asia, South and Southeast Asia, and the Occident and Near East). Furthermore, we discuss the origin of cultivated radish and its migration from the West to East Asia. SNP data generated in this work will facilitate further genetic studies on the radish breeding and production of DNA markers.

scholarly journals Progressive effects of single-nucleotide polymorphisms on 16 phenotypic traits based on longitudinal data

2020 ◽  
Vol 42 (4) ◽  
pp. 393-403
Author(s):  
Donghe Li ◽  
Hahn Kang ◽  
Sanghun Lee ◽  
Sungho Won
Keyword(s):  
Single Nucleotide Polymorphisms ◽  
Longitudinal Data ◽  
Density Lipoprotein ◽  
Phenotypic Traits ◽  
Chromosome 2 ◽  
Nucleotide Polymorphisms ◽  
Single Nucleotide ◽  
Longitudinal Changes ◽  
Genome Wide ◽  
A Genome

Abstract Background There are many research studies have estimated the heritability of phenotypic traits, but few have considered longitudinal changes in several phenotypic traits together. Objective To evaluate the progressive effect of single nucleotide polymorphisms (SNPs) on prominent health-related phenotypic traits by determining SNP-based heritability ($$h_{snp}^{2}$$hsnp2) using longitudinal data. Methods Sixteen phenotypic traits associated with major health indices were observed biennially for 6843 individuals with 10-year follow-up in a Korean community-based cohort. Average SNP heritability and longitudinal changes in the total period were estimated using a two-stage model. Average and periodic differences for each subject were considered responses to estimate SNP heritability. Furthermore, a genome-wide association study (GWAS) was performed for significant SNPs. Results Each SNP heritability for the phenotypic mean of all sixteen traits through 6 periods (baseline and five follow-ups) were significant. Gradually, the forced vital capacity in one second (FEV1) reflected the only significant SNP heritability among longitudinal changes at a false discovery rate (FDR)-adjusted 0.05 significance level ($$h_{snp}^{2} = 0.171$$hsnp2=0.171, FDR = 0.0012). On estimating chromosomal heritability, chromosome 2 displayed the highest heritability upon periodic changes in FEV1. SNPs including rs2272402 and rs7209788 displayed a genome-wide significant association with longitudinal changes in FEV1 (P = 1.22 × 10−8 for rs2272402 and P = 3.36 × 10−7 for rs7209788). De novo variants including rs4922117 (near LPL, P = 2.13 × 10−15) of log-transformed high-density lipoprotein (HDL) ratios and rs2335418 (near HMGCR, P = 3.2 $$\times$$× 10−9) of low-density lipoprotein were detected on GWAS. Conclusion Significant genetic effects on longitudinal changes in FEV1 among the middle-aged general population and chromosome 2 account for most of the genetic variance.

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