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SNP markers


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Assessment of heterosis based on parental genetic distance estimated with SSR and SNP markers in upland cotton (Gossypium hirsutum L.)

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The correlation of the GD assessed by SSR and SNP markers was significantly positive (0.264 ≤ r ≤ 0.375, P <. Furthermore, 1128 F 1 hybrids clustered into five groups based on GD assessed through SNP markers and named as group I, II, III, IV and V, having and 280 F 1 , re- spectively (Fig. Table 1 Summary of genetic distance estimated between parents using both SSR and SNP markers.

Molecular genetic diversity and population structure analyses of rutabaga accessions from Nordic countries as revealed by single nucleotide polymorphism markers

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Nonetheless, DNA sequencing is more costly than the use of array-based SNP markers, al- though extensive validation of the SNP markers is needed before they can be used for genetic diversity studies.. This is a reflection of the higher numbers of SNPs detected by genome resequencing methods..

DdRADseq-assisted construction of a highdensity SNP genetic map and QTL fine mapping for growth-related traits in the spotted scat (Scatophagus argus)

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A total of 24 SNP markers located in the confidence inter- vals of body weight QTLs were selected and utilized to identify candidate growth-related genes. 1 Illustration of the high-density SNP consensus linkage map of S.argus. These candidate genes are worthy of further studies to reveal their exact roles in genetic control of growth traits in the future..

Development and validation of genomewide InDel markers with high levels of polymorphism in bitter gourd (Momordica charantia)

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InDel markers combine the characteristics of both SSR and SNP markers, in particu- lar integrating advantages of abundance and simplicity.. Full list of author information is available at the end of the article. Thus, InDel markers are a valuable complement for both SSR and SNP markers in genetic studies [9, 10]. The de- velopment of InDel markers is becoming readily access- ible because of the rapid development of next- generation sequencing (NGS).

Characterization of genome-wide genetic variations between two varieties of tea plant (Camellia sinensis) and development of InDel markers for genetic research

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SNPs are the most abundant genetic variations in most plant species, and the exploitation of SNP markers in single-copy regions is considerably easier than use of the other DNA markers [14–16]. InDel markers have prac- tical value for those laboratories with limited resources, which also showed reliable transferability between dis- tinct populations . Several stud- ies have also reported the development and application of SNP/InDel markers in tea plant genetic studies.

Evaluation of genetic structure in European wheat cultivars and advanced breeding lines using high-density genotyping-bysequencing approach

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Following the filtering of the SNP markers and of the silicoDArT markers were retained.. The highest quality markers mapped at a single position, with a score of 100, constituted 25.7 and 38.8% of the SNP and silico- DArT markers, respectively (Table S3).. The heterozygosity of the SNP markers did not exceed 0.75, with 10,310 markers exhibiting a heterozygosity of less than 0.1 (Fig. Additional analyses were performed to clarify the in- creased heterozygosity of the markers in subgenome D..

Molecular genetic analysis of spring wheat core collection using genetic diversity, population structure, and linkage disequilibrium

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This PIC value was reported as a good indicator of informative markers which could be used in study- ing the genetic diversity in the different organisms [34]. Based on the PIC values in our tested popula- tion and the good distribution of the studied SNP markers, we can conclude that these markers ex- plained the genetic diversity in spring wheat and could be used in other genetic studies such as genome-wide association study to identify alleles con- trolling target traits..

Identification and characterization of QTLs for fruit quality traits in peach through a multi-family approach

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Concerning predictive markers for qTA5a, each of the two SNP markers can distinguish the Q and q alleles (ss_544428 at 557,504 bp and ss_544495 at (610,569 bp) (Table 3, Additional file 1: Table S6). For qTA5b’s, QTL genotypes could be predicted by various pairs of SNP markers that include ss_600509 combined with one of the six markers ss_600072, ss_. The identity of the SNP markers and their physical and genetic location are given in Additional file 1: Table S6 (Continued).

Genomic analysis of Spanish wheat landraces reveals their variability and potential for breeding

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The DArT markers were scored as binary data (0/1) indicating the presence or ab- sence of a marker in each accession, and the SNP markers were scored as 0/1/2 indicating the presence of the reference allele in homozygosity, the alternative al- lele in homozygosity or a heterozygous genotype, re- spectively. To locate the markers in the.

Genome-wide identification of loci associated with growth in rainbow trout

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Single SNP GWA analysis provided an additional set of SNPs, potentially regulating variation in bodyweight gain. 33 SNPs, respectively) describing the genetic architecture of the studied trait. 3 Manhattan plot displaying single SNP markers associated with variations in bodyweight gain using a family-based association analysis (generalized score test). Table 5 A subset of SNP markers significantly associated with bodyweight gain using two family-based association analyses.

High-density linkage map construction and QTL analyses for fiber quality, yield and morphological traits using CottonSNP63K array in upland cotton (Gossypium hirsutum L.)

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Of the 3129 mapped SNPs SNP markers showed segregation distortion which spanned on 22 chromosomes, with the most distorted markers (34) and highest distortion rate (25.37%) on Chr.02 (A13) (Table 4). Comparison of the genetically mapped SNPs with the sequence based physical map of the TM-1 ( G..

Integration of Infinium and Axiom SNP array data in the outcrossing species Malus × domestica and causes for seemingly incompatible calls

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To avoid the presence of paralogous sequences, several filters can be applied, such as a check on the read depth at the SNP site and/or a kmer analysis of the probes of selected candidate SNP markers. For example, it is possible to align the entire probe (or multiple subsequences of the probe i.e., kmers) against the reference genome and make sure that these sequences do not appear multiple times across the gen- ome.

Single nucleotide polymorphisms reveal genetic diversity in New Mexican chile peppers (Capsicum spp.)

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Chile peppers belonging to the genus Capsicum are one of the most important vegetable crops in the world. [6] evaluated a Mexican chile pepper collection using SNP markers and observed that genetic diversity was related to the cultiva- tion techniques used for the different landraces..

Identification of genetic loci and candidate genes related to soybean flowering through genome wide association study

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It was found that the average LD decay distance of the population was about 300 kb (r 2 = 0.5) by 34,710 SNP markers for LD ana- lysis (Fig. a Distribution of the SNP markers across 20 soybean chromosomes. shaping genetic differentiation of soybean. The total of 223 SNP loci associated with flowering time, full bloom, beginning pod, full pod, beginning seed, and full seed in one or more environments were all considered to be candidate sites for flowering time in soybean, because.

Genetic diversity analysis of a flax (Linum usitatissimum L.) global collection

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Genetic diversity of released Malaysian rice varieties based on single nucleotide polymorphism markers. Assessment of genetic diversity among low-nitrogen-tolerant early generation maize inbred lines using SNP markers. Genetic diversity of cultivated flax (Linum usitatissimum L.) germplasm assessed by retrotransposon-based markers. Assessment of genetic diversity in Salvadora persica L.

Genome wide association mapping for heat tolerance in sub-tropical maize

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Most significant SNP markers associated with ASI and GY were localized on chromosomes 1 and 6 under heat stress. The results clearly revealed that different genomic regions are involved under the normal and heat stress conditions for the expression of a particular trait..

GWAS revealed effect of genotype × environment interactions for grain yield of Nebraska winter wheat

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Genome-Wide Association Study for Grain Yield and Related Traits in Elite Wheat Varieties and Advanced Lines Using SNP Markers

High resolution mapping of restoration of fertility (Rf) by combining large population and high density genetic map in pigeonpea [Cajanus cajan (L.) Millsp]

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Table 1 Distribution of SNP markers on the genetic map for ICPA 2039 × ICPL 87119 (F 2 ) population. 1 High density genetic map with 4867 SNPs distributed on 11 CcLGs for an enlarged F 2 (369 individuals) population segregating for restoration of fertility in pigeonpea. In the present study using 56 K Cajanus SNP Array and 369 F 2 s, one major QTL ( qRf 8.1) flanked by Affx to Affx on CcLG08 was identified.

Genome-wide association study and genomic selection for soybean chlorophyll content associated with soybean cyst nematode tolerance

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The objectives of this study were to conduct a genome-wide association study (GWAS) to identify QTL, SNP markers, and candidate genes associated with soybean leaf chlorophyll content tolerance to SCN infection, and to carry out a genomic selection (GS) study for the chlorophyll content tolerance.. (3) a new locus of chlorophyll content tolerance to SCN mapped on chromosome 3.