• Title/Summary/Keyword: Genome Variation

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Quantitative evaluation of the molecular marker using droplet digital PCR

  • Shin, Wonseok;Kim, Haneul;Oh, Dong-Yep;Kim, Dong Hee;Han, Kyudong
    • Genomics & Informatics
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    • v.18 no.1
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    • pp.4.1-4.6
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    • 2020
  • Transposable elements (TEs) constitute approximately half of Bovine genome. They can be a powerful species-specific marker without regression mutations by the structure variation (SV) at the time of genomic evolution. In a previous study, we identified the Hanwoo-specific SV that was generated by a TE-association deletion event using traditional PCR method and Sanger sequencing validation. It could be used as a molecular marker to distinguish different cattle breeds (i.e., Hanwoo vs. Holstein). However, PCR is defective with various final copy quantifications from every sample. Thus, we applied to the droplet digital PCR (ddPCR) platform for accurate quantitative detection of the Hanwoo-specific SV. Although samples have low allele frequency variation within Hanwoo population, ddPCR could perform high sensitive detection with absolute quantification. We aimed to use ddPCR for more accurate quantification than PCR. We suggest that the ddPCR platform is applicable for the quantitative evaluation of molecular markers.

Identification of Human LRG1 Polymorphisms and Their Genetic Association with Rheumatoid Arthritis

  • Jin, Eun-Heui;Chae, Soo-Cheon;Shim, Seung-Cheol;Kim, Hwan-Gyu;Chung, Hun-Taeg
    • Genomics & Informatics
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    • v.6 no.2
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    • pp.77-83
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    • 2008
  • Human leucine-rich alpha-2-glycoprotein 1 (LRG1) was first identified as a trace protein in human serum. The primary sequence of LRG1 includes repeated leucine residues and putative membrane-binding domains. But, there is no published information on the genetic variation of this gene. In this study, LRG1 was identified as one of several upregulated genes in RA patients. We examined the expression levels of LRG1 between an RA patient and a healthy control by RT-PCR and validated that LRG1 was highly expressed in RA patients compared with controls. We identified the possible variation sites and single nucleotide polymorphisms (SNPs) in the human LRG1 gene by direct sequencing and analyzed the association of genotype and allele frequencies between RA patients and a control group without RA. We further investigated the relationship between these polymorphisms and the level of RF or anti-CCP in RA patients. We identified a total of three SNPs(g.-678A>G, g.-404C>T and g.1427T>C) and two variation sites (g.-1198delA and g.-893delA) in the LRG1 gene. Our results suggest that polymorphisms of the LRG1 gene are not associated with the susceptibility of RA in the Korean population.

De novo Genome Assembly and Single Nucleotide Variations for Soybean Mosaic Virus Using Soybean Seed Transcriptome Data

  • Jo, Yeonhwa;Choi, Hoseong;Bae, Miah;Kim, Sang-Min;Kim, Sun-Lim;Lee, Bong Choon;Cho, Won Kyong;Kim, Kook-Hyung
    • The Plant Pathology Journal
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    • v.33 no.5
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    • pp.478-487
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    • 2017
  • Soybean is the most important legume crop in the world. Several diseases in soybean lead to serious yield losses in major soybean-producing countries. Moreover, soybean can be infected by diverse viruses. Recently, we carried out a large-scale screening to identify viruses infecting soybean using available soybean transcriptome data. Of the screened transcriptomes, a soybean transcriptome for soybean seed development analysis contains several virus-associated sequences. In this study, we identified five viruses, including soybean mosaic virus (SMV), infecting soybean by de novo transcriptome assembly followed by blast search. We assembled a nearly complete consensus genome sequence of SMV China using transcriptome data. Based on phylogenetic analysis, the consensus genome sequence of SMV China was closely related to SMV isolates from South Korea. We examined single nucleotide variations (SNVs) for SMVs in the soybean seed transcriptome revealing 780 SNVs, which were evenly distributed on the SMV genome. Four SNVs, C-U, U-C, A-G, and G-A, were frequently identified. This result demonstrated the quasispecies variation of the SMV genome. Taken together, this study carried out bioinformatics analyses to identify viruses using soybean transcriptome data. In addition, we demonstrated the application of soybean transcriptome data for virus genome assembly and SNV analysis.

Genome-wide Single Nucleotide Polymorphism-based Assay for Phylogenetic Relationship of the Flammulina velutipes (팽이버섯(Flammulina velutipes)의 Genome-wide SNP (Single Nucleotide Polymorphism)에 의한 계통 분석)

  • Woo, Sung-I;Kim, Eun-Seon;Han, Jae-Gu;Jang, Kab Yeul;Shin, Pyung-Gyun;Oh, Youn-Lee;Oh, Min Ji;Jo, Sung-Hwan;Lee, Jeong-Hee;Kim, Kyung-Soo;Kong, Won-Sik
    • The Korean Journal of Mycology
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    • v.43 no.4
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    • pp.231-238
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    • 2015
  • Genome-wide reanalyzed data of 25 Flammulina strains were compared against the reference genome (KACC42780) to establish a genome-wide single nucleotide polymorphism (SNP). The rate of mapping differences between the strains reflected in the strain variation in its result. Genome-wide SNPs distribution divided into types of homozygous SNP and heterozygous SNP moreover all of the strains demonstrated a wide variation in all of the regions. In the further study of topological relationship between the collected strains, phylogenetic tree was separated into 3 major groups. Group I contained F. velutipes var. related strains of ASI 4062, 4148, 4195. Group 2 contained strains that are different species of ASI 4188 F. elastica, ASI 4190 F. fennae, and ASI 4194 F. rossica. The other 19 strains F. velutipes were classified as a single group. However, further experiment to discriminate its genetic relationship between the white group and brown group did not verify its validity. The inferred tree exhibited a phylogenetic relationship between Korea white fruitbody forming strains of ASI 4210, 4166, 4178 and Japan white fruitbody forming strains of ASI 4209, 4167 confirmed to be genetically closely related.

Genetic analysis for Polymorphism of 5,10-Methylenetetrahydrofolate Reductase (MTHFR) A1298C and Infertile Males in Korea (한국인 남성 불임 환자에서 5,10-Methylenetetrahydrofolate Reductase (MTHFR) 유전자의 1298번의 다형성과의 관련성에 관한 연구)

  • Jeong, Yu-Mi;Chung, Tae-Gue;Kim, Hyun-Joo;Lee, Sook-Hwan;Park, Jung-Hoon;Kim, Nam-Keun;Kim, Se-Hyun;Cha, Kwang-Yul;Lee, Su-Man
    • Clinical and Experimental Reproductive Medicine
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    • v.30 no.4
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    • pp.325-331
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    • 2003
  • Objective: To investigate the association of genetic background between MTHFR A1298C genotype and male infertility. Materials and Methods: We compared 377 infertile males with 396 healthy fertile males with one or more offspring. Infertile males were classified into four subtypes (281 azoospermia, 26 oligoasthenoteratozoospermia (OAT), 59 severe OAT and 11 remnants) by World Health Organization (WHO). Pyrosequencing analysis for MTHFR (methylenetetrahydrofolatereductase) A1298C variation was performed on polymerase chain reaction (PCR) product of study group. To validate pyrosequencing data of A1298C variation for randomly selected 50 samples, we compared the pyrosequencing result with the PCR-RFLP (Restriction Fragment Length Polymorphism) result of MTHFR A1298C genotype. Results: We studied MTHFR A1298C variation by pyrosequencing. A1298C variation data (1298 AC; p=0.2166 and 1298 CC; p=0.5056) of MTHFR gene was no significant difference in between fertile and infertile males. Conclusion: The genetic analysis in MTHFR gene didn't appear genetic difference in Korean fertile and infertile males. We require further study for MTHFR gene in infertile males.

A replication study of genome-wide CNV association for hepatic biomarkers identifies nine genes associated with liver function

  • Kim, Hyo-Young;Byun, Mi-Jeong;Kim, Hee-Bal
    • BMB Reports
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    • v.44 no.9
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    • pp.578-583
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    • 2011
  • Aspartate aminotransferase (AST) and alanine aminotransferase (ALT) are biochemical markers used to test for liver diseases. Copy number variation (CNV) plays an important role in determining complex traits and is an emerging area in the study various diseases. We performed a genome-wide association study with liver function biomarkers AST and ALT in 407 unrelated Koreans. We assayed the genome-wide variations on an Affymetrix Genome-Wide 6.0 array, and CNVs were analyzed using HelixTree. Using single linear regression, 32 and 42 CNVs showed significance for AST and ALT, respectively (P value < 0.05). We compared CNV-based genes between the current study (KARE2; AST-140, ALT-172) and KARE1 (AST-1885, ALT-773) using NetBox. Results showed 9 genes (CIDEB, DFFA, PSMA3, PSMC5, PSMC6, PSMD12, PSMF1, SDC4, and SIAH1) were overlapped for AST, but no overlapped genes were found for ALT. Functional gene annotation analysis shown the proteasome pathway, Wnt signaling pathway, programmed cell death, and protein binding.

Perspectives provided by leopard and other cat genomes: how diet determined the evolutionary history of carnivores, omnivores, and herbivores

  • Kim, Soonok;Cho, Yun Sung;Bhak, Jong;O'Brian, Stephen J.;Yeo, Joo-Hong
    • BMB Reports
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    • v.50 no.1
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    • pp.3-4
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    • 2017
  • Recent advances in genome sequencing technologies have enabled humans to generate and investigate the genomes of wild species. This includes the big cat family, such as tigers, lions, and leopards. Adding the first high quality leopard genome, we have performed an in-depth comparative analysis to identify the genomic signatures in the evolution of felid to become the top predators on land. Our study focused on how the carnivore genomes, as compared to the omnivore or herbivore genomes, shared evolutionary adaptations in genes associated with nutrient metabolism, muscle strength, agility, and other traits responsible for hunting and meat digestion. We found genetic evidence that genomes represent what animals eat through modifying genes. Highly conserved genetically relevant regions were discovered in genomes at the family level. Also, the Felidae family genomes exhibited low levels of genetic diversity associated with decreased population sizes, presumably because of their strict diet, suggesting their vulnerability and critical conservation status. Our findings can be used for human health enhancement, since we share the same genes as cats with some variation. This is an example how wildlife genomes can be a critical resource for human evolution, providing key genetic marker information for disease treatment.

The Complete Genome Sequence of Southern rice black-streaked dwarf virus Isolated from Vietnam

  • Dinh, Thi-Sau;Zhou, Cuiji;Cao, Xiuling;Han, Chenggui;Yu, Jialin;Li, Dawei;Zhang, Yongliang
    • The Plant Pathology Journal
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    • v.28 no.4
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    • pp.428-432
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    • 2012
  • We determined the complete genome sequence of a Vietnamese isolate of Southern rice black-streaked dwarf virus (SRBSDV). Whole genome comparisons and phylogenetic analysis showed that the genome of the Vietnamese isolate shared high nucleotide sequence identities of over 97.5% with those of the reported Chinese isolates, confirming a common origin of them. Moreover, the greatest divergence between different SRBSDV isolates was found in the segments S1, S3, S4 and S6, which differs from the sequence alignment results between SRBSDV and Rice black streaked dwarf virus (RBSDV), implying that SRBSDV evolved in a unique way independent of RBSDV. This is the first report of a complete nucleotide sequence of SRBSDV from Vietnam and our data provides new clues for further understanding of molecular variation and epidemiology of SRBSDV in Southeast Asia.

Structural Variation of Alu Element and Human Disease

  • Kim, Songmi;Cho, Chun-Sung;Han, Kyudong;Lee, Jungnam
    • Genomics & Informatics
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    • v.14 no.3
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    • pp.70-77
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    • 2016
  • Transposable elements are one of major sources to cause genomic instability through various mechanisms including de novo insertion, insertion-mediated genomic deletion, and recombination-associated genomic deletion. Among them is Alu element which is the most abundant element, composing ~10% of the human genome. The element emerged in the primate genome 65 million years ago and has since propagated successfully in the human and non-human primate genomes. Alu element is a non-autonomous retrotransposon and therefore retrotransposed using L1-enzyme machinery. The 'master gene' model has been generally accepted to explain Alu element amplification in primate genomes. According to the model, different subfamilies of Alu elements are created by mutations on the master gene and most Alu elements are amplified from the hyperactive master genes. Alu element is frequently involved in genomic rearrangements in the human genome due to its abundance and sequence identity between them. The genomic rearrangements caused by Alu elements could lead to genetic disorders such as hereditary disease, blood disorder, and neurological disorder. In fact, Alu elements are associated with approximately 0.1% of human genetic disorders. The first part of this review discusses mechanisms of Alu amplification and diversity among different Alu subfamilies. The second part discusses the particular role of Alu elements in generating genomic rearrangements as well as human genetic disorders.

Genome-Wide Association Studies of the Korea Association REsource (KARE) Consortium

  • Hong, Kyung-Won;Kim, Hyung-Lae;Oh, Berm-Seok
    • Genomics & Informatics
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    • v.8 no.3
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    • pp.101-102
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    • 2010
  • During the last decade, large community cohorts have been established by the Korea National Institutes of Health (KNIH), and enormous epidemiological and clinical data have been accumulated. Using these information and samples in the cohorts, KNIH set out to do a large-scale genome-wide association study (GWAS) in 2007, and the Korea Association REsource (KARE) consortium was launched to analyze the data to identify the underlying genetic risk factors of diseases and diverse health indexes, such as blood pressure, obesity, bone density, and blood biochemical traits. The consortium consisted of 6 research divisions, formed by 25 principal investigators in 19 organizations, including 18 universities, 2 institutes, and 1 company. Each division focused on one of the following subjects: the identification of genetic factors, the statistical analysis of gene-gene interactions, the genetic epidemiology of gene-environment interactions, copy number variation, the bioinformatics related to a GWAS, and a GWAS of nutrigenomics. In this special issue, the study results of the KARE consortium are provided as 9 articles. We hope that this special issue might encourage the genomics community to share data and scientists, including clinicians, to analyze the valuable Korean data of KARE.