• Title/Summary/Keyword: Genome-wide Simple Sequence Repeat

Search Result 6, Processing Time 0.093 seconds

Genetic Diversity of Angelica gigas Nakai Collected in Korea using Genome-Wide SSR Markers (Genome-Wide SSR 마커를 이용한 주요 산지별 참당귀의 유전다양성 분석)

  • Jeong, Dae Hui;Park, Yun Mi;Kim, Ki Yoon;Park, Hong Woo;Jeon, Kwon Seok;Kim, Mahn Jo;Gil, Jin Su;Lee, Yi;Um, Yurry
    • Korean Journal of Medicinal Crop Science
    • /
    • v.27 no.6
    • /
    • pp.376-382
    • /
    • 2019
  • Background: Angelica gigas Nakai has been used as an herbal medicine in Eastern Asia for treating disorders in women for a long time. To date there are no studies on the genetic diversity of A. gigas. The present study aimed to study the genetic diversity of A. gigas variants using genome-wide simple sequence repeat (SSR) markers. Methods and Results: The genetic diversity of 199 variants of A. gigas cultivated in of different regions, was analyzed using 5 genome-wide SSR markers. The results revealed that the genetic variants were very diverse, and genetic analysis using the 5 SSR markers revealed high diversity among the variants. Conclusions: It is expected that the development of the true Angleical cultivar, by studying the system and group selection, can be achieved by genetic analysis using the developed markers, for generating a genetically fixed lineage and group selection.

Chromosome-specific polymorphic SSR markers in tropical eucalypt species using low coverage whole genome sequences: systematic characterization and validation

  • Patturaj, Maheswari;Munusamy, Aiswarya;Kannan, Nithishkumar;Kandasamy, Ulaganathan;Ramasamy, Yasodha
    • Genomics & Informatics
    • /
    • v.19 no.3
    • /
    • pp.33.1-33.10
    • /
    • 2021
  • Eucalyptus is one of the major plantation species with wide variety of industrial uses. Polymorphic and informative simple sequence repeats (SSRs) have broad range of applications in genetic analysis. In this study, two individuals of Eucalyptus tereticornis (ET217 and ET86), one individual each from E. camaldulensis (EC17) and E. grandis (EG9) were subjected to whole genome resequencing. Low coverage (10×) genome sequencing was used to find polymorphic SSRs between the individuals. Average number of SSR loci identified was 95,513 and the density of SSRs per Mb was from 157.39 in EG9 to 155.08 in EC17. Among all the SSRs detected, the most abundant repeat motifs were di-nucleotide (59.6%-62.5%), followed by tri- (23.7%-27.2%), tetra- (5.2%-5.6%), penta- (5.0%-5.3%), and hexa-nucleotide (2.7%-2.9%). The predominant SSR motif units were AG/CT and AAG/TTC. Computational genome analysis predicted the SSR length variations between the individuals and identified the gene functions of SSR containing sequences. Selected subset of polymorphic markers was validated in a full-sib family of eucalypts. Additionally, genome-wide characterization of single nucleotide polymorphisms, InDels and transcriptional regulators were carried out. These variations will find their utility in genome-wide association studies as well as understanding of molecular mechanisms involved in key economic traits. The genomic resources generated in this study would provide an impetus to integrate genomics in marker-trait associations and breeding of tropical eucalypts.

Applied Computational Tools for Crop Genome Research

  • Love Christopher G;Batley Jacqueline;Edwards David
    • Journal of Plant Biotechnology
    • /
    • v.5 no.4
    • /
    • pp.193-195
    • /
    • 2003
  • A major goal of agricultural biotechnology is the discovery of genes or genetic loci which are associated with characteristics beneficial to crop production. This knowledge of genetic loci may then be applied to improve crop breeding. Agriculturally important genes may also benefit crop production through transgenic technologies. Recent years have seen an application of high throughput technologies to agricultural biotechnology leading to the production of large amounts of genomic data. The challenge today is the effective structuring of this data to permit researchers to search, filter and importantly, make robust associations within a wide variety of datasets. At the Plant Biotechnology Centre, Primary Industries Research Victoria in Melbourne, Australia, we have developed a series of tools and computational pipelines to assist in the processing and structuring of genomic data to aid its application to agricultural biotechnology resear-ch. These tools include a sequence database, ASTRA, for the processing and annotation of expressed sequence tag data. Tools have also been developed for the discovery of simple sequence repeat (SSR) and single nucleotide polymorphism (SNP) molecular markers from large sequence datasets. Application of these tools to Brassica research has assisted in the production of genetic and comparative physical maps as well as candidate gene discovery for a range of agronomically important traits.

Identification of SNPs Related to 19 Phenotypic Traits Using Genome-wide Association Study (GWAS) Approach in Korean Wheat Mini-core Collection

  • Yuna Kang;Yeonjun Sung;Seonghyeon Kim;Changsoo Kim
    • Proceedings of the Korean Society of Crop Science Conference
    • /
    • 2020.06a
    • /
    • pp.120-120
    • /
    • 2020
  • Based on the simple sequence repeat (SSR) marker, a Korean wheat core collection were established with 616 wheat accessions. Among them, the SNP genotyping for the entire genome was performed using DNA chip array to clarify the whole genome SNP profiles. Consequently, a total of 35,143 SNPs were found and we re-established a mini-core collection with 247 accessions. Population diversity and phylogenetic analysis revealed genetic diversity and relationships from the mini core set. In addition, genome-wide association study (GWAS) was performed on 19 phenotypic traits; ear type, awn length, culm length, ear length, awn color, seed coat color, culm color, ear color, loading, leaf length, leaf width, seeding stand, cold damage, weight, auricle, plant type, heading stage, maturation period, upright habit, and degree of flag leaf. The GWAS was performed using the fixed and random model circulating probability unification (FarmCPU), which identified 14 to 258 SNP loci related to 19 phenotypic traits. Our study indicates that this Korean wheat mini-core collection is a set of germplasm useful for basic and applied research with the aim of understanding and exploiting the genetic diversity of Korean wheat varieties.

  • PDF

Reverse Random Amplified Microsatellite Polymorphism Reveals Enhanced Polymorphisms in the 3' End of Simple Sequence Repeats in the Pepper Genome

  • Min, Woong-Ki;Han, Jung-Heon;Kang, Won-Hee;Lee, Heung-Ryul;Kim, Byung-Dong
    • Molecules and Cells
    • /
    • v.26 no.3
    • /
    • pp.250-257
    • /
    • 2008
  • Microsatellites or simple sequence repeats (SSR) are widely distributed in eukaryotic genomes and are informative genetic markers. Despite many advantages of SSR markers such as a high degree of allelic polymorphisms, co-dominant inheritance, multi-allelism, and genome-wide coverage in various plant species, they also have shortcomings such as low polymorphic rates between genetically close lines, especially in Capsicum annuum. We developed an alternative technique to SSR by normalizing and alternating anchored primers in random amplified microsatellite polymorphisms (RAMP). This technique, designated reverse random amplified microsatellite polymorphism (rRAMP), allows the detection of nucleotide variation in the 3' region flanking an SSR using normalized anchored and random primer combinations. The reproducibility and frequency of polymorphic loci in rRAMP was vigorously enhanced by translocation of the 5' anchor of repeat sequences to the 3' end position and selective use of moderate arbitrary primers. In our study, the PCR banding pattern of rRAMP was highly dependent on the frequency of repeat motifs and primer combinations with random primers. Linkage analysis showed that rRAMP markers were well scattered on an intra-specific pepper map. Based on these results, we suggest that this technique is useful for studying genetic diversity, molecular fingerprinting, and rapidly constructing molecular maps for diverse plant species.

Current status and prospects of molecular marker development for systematic breeding program in citrus (감귤 분자육종을 위한 분자표지 개발 현황 및 전망)

  • Kim, Ho Bang;Kim, Jae Joon;Oh, Chang Jae;Yun, Su-Hyun;Song, Kwan Jeong
    • Journal of Plant Biotechnology
    • /
    • v.43 no.3
    • /
    • pp.261-271
    • /
    • 2016
  • Citrus is an economically important fruit crop widely growing worldwide. However, citrus production largely depends on natural hybrid selection and bud sport mutation. Unique botanical features including long juvenility, polyembryony, and QTL that controls major agronomic traits can hinder the development of superior variety by conventional breeding. Diverse factors including drastic changes of citrus production environment due to global warming and changes in market trends require systematic molecular breeding program for early selection of elite candidates with target traits, sustainable production of high quality fruits, cultivar diversification, and cost-effective breeding. Since the construction of the first genetic linkage map using isozymes, citrus scientists have constructed linkage maps using various DNA-based markers and developed molecular markers related to biotic and abiotic stresses, polyembryony, fruit coloration, seedlessness, male sterility, acidless, morphology, fruit quality, seed number, yield, early fruit setting traits, and QTL mapping on genetic maps. Genes closely related to CTV resistance and flesh color have been cloned. SSR markers for identifying zygotic and nucellar individuals will contribute to cost-effective breeding. The two high quality citrus reference genomes recently released are being efficiently used for genomics-based molecular breeding such as construction of reference linkage/physical maps and comparative genome mapping. In the near future, the development of DNA molecular markers tightly linked to various agronomic traits and the cloning of useful and/or variant genes will be accelerated through comparative genome analysis using citrus core collection and genome-wide approaches such as genotyping-by-sequencing and genome wide association study.