• Title/Summary/Keyword: resequencing

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Analysis of the Percentage Articulation and Voice Packet Loss over the Internet (인터넷상의 음성 패킷손실과 명료도 분석)

  • 고대식;박준석
    • The Journal of Korean Institute of Communications and Information Sciences
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    • v.23 no.8
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    • pp.2090-2095
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    • 1998
  • In this paper, we measured voice packet loss over the Korean Internet and analyzed percentage articulation by variation of the packet loss. To do this, we reviewed real-time transmission service based on RTP/UDP/IP and test method of the transmission quality. and implemented the real-time speech transmission system using GSM and UDP/IP. Monosyllable list has been chosen for the percentage articulation test, each voice packet has been coded and compressed by GSM and it has sequence number to measured packet loss and to recover out-of-order packets. In transmission results using seven router over the Korean Internet, we have show that loss rates reached 1.6% (unload), 22.5%(load) and loss rates after packet recovery by resequencing and FEC are from 9% to 35%. Finally, we have shown that percentage articulations by variation of the network traffic are Table 4.

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New Lung Cancer Panel for High-Throughput Targeted Resequencing

  • Kim, Eun-Hye;Lee, Sunghoon;Park, Jongsun;Lee, Kyusang;Bhak, Jong;Kim, Byung Chul
    • Genomics & Informatics
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    • v.12 no.2
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    • pp.50-57
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    • 2014
  • We present a new next-generation sequencing-based method to identify somatic mutations of lung cancer. It is a comprehensive mutation profiling protocol to detect somatic mutations in 30 genes found frequently in lung adenocarcinoma. The total length of the target regions is 107 kb, and a capture assay was designed to cover 99% of it. This method exhibited about 97% mean coverage at $30{\times}$ sequencing depth and 42% average specificity when sequencing of more than 3.25 Gb was carried out for the normal sample. We discovered 513 variations from targeted exome sequencing of lung cancer cells, which is 3.9-fold higher than in the normal sample. The variations in cancer cells included previously reported somatic mutations in the COSMIC database, such as variations in TP53, KRAS, and STK11 of sample H-23 and in EGFR of sample H-1650, especially with more than $1,000{\times}$ coverage. Among the somatic mutations, up to 91% of single nucleotide polymorphisms from the two cancer samples were validated by DNA microarray-based genotyping. Our results demonstrated the feasibility of high-throughput mutation profiling with lung adenocarcinoma samples, and the profiling method can be used as a robust and effective protocol for somatic variant screening.

Genome-Wide SNP Calling Using Next Generation Sequencing Data in Tomato

  • Kim, Ji-Eun;Oh, Sang-Keun;Lee, Jeong-Hee;Lee, Bo-Mi;Jo, Sung-Hwan
    • Molecules and Cells
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    • v.37 no.1
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    • pp.36-42
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    • 2014
  • The tomato (Solanum lycopersicum L.) is a model plant for genome research in Solanaceae, as well as for studying crop breeding. Genome-wide single nucleotide polymorphisms (SNPs) are a valuable resource in genetic research and breeding. However, to do discovery of genome-wide SNPs, most methods require expensive high-depth sequencing. Here, we describe a method for SNP calling using a modified version of SAMtools that improved its sensitivity. We analyzed 90 Gb of raw sequence data from next-generation sequencing of two resequencing and seven transcriptome data sets from several tomato accessions. Our study identified 4,812,432 non-redundant SNPs. Moreover, the workflow of SNP calling was improved by aligning the reference genome with its own raw data. Using this approach, 131,785 SNPs were discovered from transcriptome data of seven accessions. In addition, 4,680,647 SNPs were identified from the genome of S. pimpinellifolium, which are 60 times more than 71,637 of the PI212816 transcriptome. SNP distribution was compared between the whole genome and transcriptome of S. pimpinellifolium. Moreover, we surveyed the location of SNPs within genic and intergenic regions. Our results indicated that the sufficient genome-wide SNP markers and very sensitive SNP calling method allow for application of marker assisted breeding and genome-wide association studies.

Evolutionary Analyses of SSII-1 Gene Provides Insight into Its Domestication Signatures in Collected Rice Accessions

  • Thant Zin Maung;Yong-Jin Park
    • Proceedings of the Korean Society of Crop Science Conference
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    • 2022.10a
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    • pp.215-215
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    • 2022
  • Starch synthase proteins (SSI, SSII and SSIII) in rice are mainly involved in amylopectin synthesis mediating its chain elongation, and the functional loss of SSII can increase amylose accumulation through decreasing of amylopectin chain proportions. For purposes of identifying functional haplotypes and evolutionary analyses of this gene, SSII-1, we investigated 374 rice accessions belonging to different subgroups of origins. We subsequently performed bioinformatic analyses on their variations through haplotyping, resequencing and structuring based on different classified populations. Haplotyping of cultivated rice accessions using genetic variations within SSII-1 genomic region of chromosome 10 revealed a total of 8 haplotypes, representing 6 functional haplotypes by 4 non-synonymous SNPs of three different exons (1, 4 and 10), which effect on protein structure. Higher nucleotide diversity value was found in wild group (0.0055) compared to any of cultivated subpopulations, of which aus showed the most reduction of diversity value (0.0003). Tajima's D analysis exhibits the most Tajima's D value only in admixture group (0.3600) which appears to be the cause of a sudden population contraction by rare alleles scarcity. A clear separation of some wild accessions from the admixed cultivated subpopulations was observed in PCA and phylogenetic analysis. Similar admixed pattern of population structure was estimated with an increased K values of 2 to 8 where genetic components of almost all cultivated subpopulations were shared with the wild which can also be subsequently estimated by very low FST-values by -0.011 (wild-aromatic) and -0.003 (wild-admixture).

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Genomic analysis reveals selection signatures of the Wannan Black pig during domestication and breeding

  • Zhang, Wei;Yang, Min;Wang, Yuanlang;Wu, Xudong;Zhang, Xiaodong;Ding, Yueyun;Yin, Zongjun
    • Asian-Australasian Journal of Animal Sciences
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    • v.33 no.5
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    • pp.712-721
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    • 2020
  • Objective: The Wannan Black pig is a typical Chinese indigenous, disease-resistant pig breed with high fertility, and a crude-feed tolerance that has been bred by artificial selection in the south of Anhui province for a long time. However, genome variation, genetic relationships with other pig breeds, and domestication, remain poorly understood. Here, we focus on elucidating the genetic characteristics of the Wannan Black pig and identifying selection signatures during domestication and breeding. Methods: We identified the whole-genome variation in the Wannan Black pig and performed population admixture analyses to determine genetic relationships with other domesticated pig breeds and wild boars. Then, we identified the selection signatures between the Wannan Black pig and Asian wild boars in 100-kb windows sliding in 10 kb steps by using two approaches: the fixation index (FST) and π ratios. Results: Resequencing the Wannan Black pig genome yielded 501.52 G of raw data. After calling single-nucleotide variants (SNVs) and insertions/deletions (InDels), we identified 21,316,754 SNVs and 5,067,206 InDels (2,898,582 inserts and 2,168,624 deletions). Additionally, we found genes associated with growth, immunity, and digestive functions. Conclusion: Our findings help in explaining the unique genetic and phenotypic characteristics of Wannan Black pigs, which in turn can be informative for future breeding programs of Wannan Black pigs.

Current status and prospects to identify mutations responsible for mutant phenotypes by using NGS technology (NGS 기술 활용 돌연변이체 해석 및 연구현황)

  • Jung, Yu Jin;Ryu, Ho Jin;Cho, Yong-Gu;Kang, Kwon Kyoo
    • Journal of Plant Biotechnology
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    • v.43 no.4
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    • pp.411-416
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    • 2016
  • Next-generation sequencing allows the identification of mutations responsible for mutant phenotypes by whole-genome resequencing and alignment to a reference genome. However, when the resequenced cultivar/line displays significant structural variation from the reference genome, mutations in the genome regions absent in the reference cannot be identified by simple alignment. In this review, we report the current status and prospects in identification of genes in mutant phenotypes, by using the methods MutMap, MutMap-Gap, and MutMap+. These methods delineate a candidate region harboring a mutation of interest, followed by de novo assembly, alignment, and identification of the mutation within genome gaps. These methods are likely to prove useful for cloning genes that exhibit significant structural variations, such as disease resistance genes of the nucleotide-binding site-leucine rich repeat (NBS-LRR) class.

Massive Parallel Sequencing for Diagnostic Genetic Testing of BRCA Genes - a Single Center Experience

  • Ermolenko, Natalya A;Boyarskikh, Uljana A;Kechin, Andrey A;Mazitova, Alexandra M;Khrapov, Evgeny A;Petrova, Valentina D;Lazarev, Alexandr F;Kushlinskii, Nikolay E;Filipenko, Maxim L
    • Asian Pacific Journal of Cancer Prevention
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    • v.16 no.17
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    • pp.7935-7941
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    • 2015
  • The aim of this study was to implement massive parallel sequencing (MPS) technology in clinical genetics testing. We developed and tested an amplicon-based method for resequencing the BRCA1 and BRCA2 genes on an Illumina MiSeq to identify disease-causing mutations in patients with hereditary breast or ovarian cancer (HBOC). The coding regions of BRCA1 and BRCA2 were resequenced in 96 HBOC patient DNA samples obtained from different sample types: peripheral blood leukocytes, whole blood drops dried on paper, and buccal wash epithelia. A total of 16 random DNA samples were characterized using standard Sanger sequencing and applied to optimize the variant calling process and evaluate the accuracy of the MPS-method. The best bioinformatics workflow included the filtration of variants using GATK with the following cut-offs: variant frequency >14%, coverage ($>25{\times}$) and presence in both the forward and reverse reads. The MPS method had 100% sensitivity and 94.4% specificity. Similar accuracy levels were achieved for DNA obtained from the different sample types. The workflow presented herein requires low amounts of DNA samples (170 ng) and is cost-effective due to the elimination of DNA and PCR product normalization steps.

Analysis of cross-population differentiation between Thoroughbred and Jeju horses

  • Lee, Wonseok;Park, Kyung-Do;Taye, Mengistie;Lee, Chul;Kim, Heebal;Lee, Hak-Kyo;Shin, Donghyun
    • Asian-Australasian Journal of Animal Sciences
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    • v.31 no.8
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    • pp.1110-1118
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    • 2018
  • Objective: This study was intended to identify genes positively selected in Thoroughbred horses (THBs) that potentially contribute to their running performances. Methods: The genomes of THB and Jeju horses (JH, Korean native horse) were compared to identify genes positively selected in THB. We performed cross-population extended haplotype homozygosity (XP-EHH) and cross-population composite likelihood ratio test (XP-CLR) statistical methods for our analysis using whole genome resequencing data of 14 THB and 6 JH. Results: We identified 98 (XP-EHH) and 200 (XP-CLR) genes that are under positive selection in THB. Gene enrichment analysis identified 72 gene ontology biological process (GO BP) terms. The genes and GO BP terms explained some of THB's characteristics such as immunity, energy metabolism and eye size and function related to running performances. GO BP terms that play key roles in several cell signaling mechanisms, which affected ocular size and visual functions were identified. GO BP term Eye photoreceptor cell differentiation is among the terms annotated presumed to affect eye size. Conclusion: Our analysis revealed some positively selected candidate genes in THB related to their racing performances. The genes detected are related to the immunity, ocular size and function, and energy metabolism.

In silico approaches to identify the functional and structural effects of non-synonymous SNPs in selective sweeps of the Berkshire pig genome

  • Shin, Donghyun;Oh, Jae-Don;Won, Kyeong-Hye;Song, Ki-Duk
    • Asian-Australasian Journal of Animal Sciences
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    • v.31 no.8
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    • pp.1150-1159
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    • 2018
  • Objective: Non-synonymous single nucleotide polymorphisms (nsSNPs) were identified in Berkshire selective sweep regions and then were investigated to discover genetic nsSNP mechanisms that were potentially associated with Berkshire domestication and meat quality. We further used bioinformatics tools to predict damaging amino-acid substitutions in Berkshire-related nsSNPs. Methods: nsSNPs were examined in whole genome resequencing data of 110 pigs, including 14 Berkshire pigs, generated using the Illumina Hiseq2000 platform to identify variations that might affect meat quality in Berkshire pigs. Results: Total 65,550 nsSNPs were identified in the mapped regions; among these, 319 were found in Berkshire selective-sweep regions reported in a previous study. Genes encompassing these nsSNPs were involved in lipid metabolism, intramuscular fatty-acid deposition, and muscle development. The effects of amino acid change by nsSNPs on protein functions were predicted using sorting intolerant from tolerant and polymorphism phenotyping V2 to reveal their potential roles in biological processes that may correlate with the unique Berkshire meat-quality traits. Conclusion: Our nsSNP findings confirmed the history of Berkshire pigs and illustrated the effects of domestication on generic-variation patterns. Our novel findings, which are generally consistent with those of previous studies, facilitated a better understanding of Berkshire domestication. In summary, we extensively investigated the relationship between genomic composition and phenotypic traits by scanning for nsSNPs in large-scale whole-genome sequencing data.

Genome analysis of Yucatan miniature pigs to assess their potential as biomedical model animals

  • Kwon, Dae-Jin;Lee, Yeong-Sup;Shin, Donghyun;Won, Kyeong-Hye;Song, Ki-Duk
    • Asian-Australasian Journal of Animal Sciences
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    • v.32 no.2
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    • pp.290-296
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    • 2019
  • Objective: Pigs share many physiological, anatomical and genomic similarities with humans, which make them suitable models for biomedical researches. Understanding the genetic status of Yucatan miniature pigs (YMPs) and their association with human diseases will help to assess their potential as biomedical model animals. This study was performed to identify non-synonymous single nucleotide polymorphisms (nsSNPs) in selective sweep regions of the genome of YMPs and present the genetic nsSNP distributions that are potentially associated with disease occurrence in humans. Methods: nsSNPs in whole genome resequencing data from 12 YMPs were identified and annotated to predict their possible effects on protein function. Sorting intolerant from tolerant (SIFT) and polymorphism phenotyping v2 analyses were used, and gene ontology (GO) network and Kyoto encyclopedia of genes and genomes (KEGG) pathway analyses were performed. Results: The results showed that 8,462 genes, encompassing 72,067 nsSNPs were identified, and 118 nsSNPs in 46 genes were predicted as deleterious. GO network analysis classified 13 genes into 5 GO terms (p<0.05) that were associated with kidney development and metabolic processes. Seven genes encompassing nsSNPs were classified into the term associated with Alzheimer's disease by referencing the genetic association database. The KEGG pathway analysis identified only one significantly enriched pathway (p<0.05), hsa04080: Neuroactive ligand-receptor interaction, among the transcripts. Conclusion: The number of deleterious nsSNPs in YMPs was identified and then these variants-containing genes in YMPs data were adopted as the putative human diseases-related genes. The results revealed that many genes encompassing nsSNPs in YMPs were related to the various human genes which are potentially associated with kidney development and metabolic processes as well as human disease occurrence.