• Title/Summary/Keyword: Deep sequencing

Search Result 46, Processing Time 0.028 seconds

Draft genome sequence of Zhongshania marina DSW25-10T isolated from seawater (해수에서 분리된 Zhongshania marina DSW25-10T 의 유전체 서열분석)

  • Oh, Ji-Sung;Roh, Dong-Hyun
    • Korean Journal of Microbiology
    • /
    • v.54 no.4
    • /
    • pp.480-482
    • /
    • 2018
  • The draft genome sequencing for Zhongshania marina $DSW25-10^T$, isolated from deep seawater of East Sea in Korea, was performed using Illumina HiSeq platform. As a result, the draft genome was comprised of a total length of approximately 4.08 Mbp with G + C content of 49.0%, and included a total of 3,702 protein-coding genes, 3 rRNA genes, 39 tRNA genes, 4 non-coding RNA genes, and 36 pseudogenes. In addition, the metabolic pathways of aliphatic and aromatic compounds were identified. In light of these metabolic pathways, Zhongshania marina $DSW25-10^T$ is expected to be a useful bioremediation resource.

AllEC: An Implementation of Application for EC Numbers Prediction based on AEC Algorithm

  • Park, Juyeon;Park, Mingyu;Han, Sora;Kim, Jeongdong;Oh, Taejin;Lee, Hyun
    • International Journal of Advanced Culture Technology
    • /
    • v.10 no.2
    • /
    • pp.201-212
    • /
    • 2022
  • With the development of sequencing technology, there is a need for technology to predict the function of the protein sequence. Enzyme Commission (EC) numbers are becoming markers that distinguish the function of the sequence. In particular, many researchers are researching various methods of predicting the EC numbers of protein sequences based on deep learning. However, as studies using various methods exist, a problem arises, in which the exact prediction result of the sequence is unknown. To solve this problem, this paper proposes an All Enzyme Commission (AEC) algorithm. The proposed AEC is an algorithm that executes various prediction methods and integrates the results when predicting sequences. This algorithm uses duplicates to give more weights when duplicate values are obtained from multiple methods. The largest value, among the final prediction result values for each method to which the weight is applied, is the final prediction result. Moreover, for the convenience of researchers, the proposed algorithm is provided through the AllEC web services. They can use the algorithms regardless of the operating systems, installation, or operating environment.

Non-invasive evaluation of embryo quality for the selection of transferable embryos in human in vitro fertilization-embryo transfer

  • Jihyun Kim;Jaewang Lee;Jin Hyun Jun
    • Clinical and Experimental Reproductive Medicine
    • /
    • v.49 no.4
    • /
    • pp.225-238
    • /
    • 2022
  • The ultimate goal of human assisted reproductive technology is to achieve a healthy pregnancy and birth, ideally from the selection and transfer of a single competent embryo. Recently, techniques for efficiently evaluating the state and quality of preimplantation embryos using time-lapse imaging systems have been applied. Artificial intelligence programs based on deep learning technology and big data analysis of time-lapse monitoring system during in vitro culture of preimplantation embryos have also been rapidly developed. In addition, several molecular markers of the secretome have been successfully analyzed in spent embryo culture media, which could easily be obtained during in vitro embryo culture. It is also possible to analyze small amounts of cell-free nucleic acids, mitochondrial nucleic acids, miRNA, and long non-coding RNA derived from embryos using real-time polymerase chain reaction (PCR) or digital PCR, as well as next-generation sequencing. Various efforts are being made to use non-invasive evaluation of embryo quality (NiEEQ) to select the embryo with the best developmental competence. However, each NiEEQ method has some limitations that should be evaluated case by case. Therefore, an integrated analysis strategy fusing several NiEEQ methods should be urgently developed and confirmed by proper clinical trials.

Construction of an Analysis System Using Digital Breeding Technology for the Selection of Capsicum annuum

  • Donghyun Jeon;Sehyun Choi;Yuna Kang;Changsoo Kim
    • Proceedings of the Korean Society of Crop Science Conference
    • /
    • 2022.10a
    • /
    • pp.233-233
    • /
    • 2022
  • As the world's population grows and food needs diversify, the demand for horticultural crops for beneficial traits is increasing. In order to meet this demand, it is necessary to develop suitable cultivars and breeding methods accordingly. Breeding methods have changed over time. With the recent development of sequencing technology, the concept of genomic selection (GS) has emerged as large-scale genome information can be used. GS shows good predictive ability even for quantitative traits by using various markers, breaking away from the limitations of Marker Assisted Selection (MAS). Moreover, GS using machine learning (ML) and deep learning (DL) has been studied recently. In this study, we aim to build a system that selects phenotype-related markers using the genomic information of the pepper population and trains a genomic selection model to select individuals from the validation population. We plan to establish an optimal genome wide association analysis model by comparing and analyzing five models. Validation of molecular markers by applying linkage markers discovered through genome wide association analysis to breeding populations. Finally, we plan to establish an optimal genome selection model by comparing and analyzing 12 genome selection models. Then We will use the genome selection model of the learning group in the breeding group to verify the prediction accuracy and discover a prediction model.

  • PDF

False-Negative Results of Real-Time Reverse-Transcriptase Polymerase Chain Reaction for Severe Acute Respiratory Syndrome Coronavirus 2: Role of Deep-Learning-Based CT Diagnosis and Insights from Two Cases

  • Dasheng Li;Dawei Wang;Jianping Dong;Nana Wang;He Huang;Haiwang Xu;Chen Xia
    • Korean Journal of Radiology
    • /
    • v.21 no.4
    • /
    • pp.505-508
    • /
    • 2020
  • The epidemic of 2019 novel coronavirus, later named as severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), is still gradually spreading worldwide. The nucleic acid test or genetic sequencing serves as the gold standard method for confirmation of infection, yet several recent studies have reported false-negative results of real-time reverse-transcriptase polymerase chain reaction (rRT-PCR). Here, we report two representative false-negative cases and discuss the supplementary role of clinical data with rRT-PCR, including laboratory examination results and computed tomography features. Coinfection with SARS-COV-2 and other viruses has been discussed as well.

A Case of End-Stage Renal Disease with Joubert Syndrome due to CEP290 Mutation (CEP290 돌연변이로 인해 발생한 Joubert 증후군 말기 신부전 1례)

  • Kim, Sung Hoon;Lee, Sang Taek;Seong, Moon-Woo;Kim, Man Jin;Lee, Jun Hwa
    • Journal of The Korean Society of Inherited Metabolic disease
    • /
    • v.20 no.1
    • /
    • pp.29-35
    • /
    • 2020
  • Joubert syndrome (JS) is a rare genetic disorder that is characterized by ataxia, hypotonia, developmental delay, respiratory abnormalities such as apnea-hyperpnea, and abnormal eye movements. The pathognomonic diagnostic finding is the "molar tooth sign" (MTS) on brain magnetic resonance imaging (MRI), described as cerebellar vermis hypoplasia or dysplasia, thick and horizontally oriented superior cerebellar peduncles, and an abnormally deep interpeduncular fossa. JS is characterized by genetic heterogeneity: pathogenic variants in over 30 genes have been identified to date. The CEP290 protein, which is on chromosome 12q21.3, is most frequently mutated in patients with JS, especially with renal involvement. Here, we report a case of JS in a 14-year-old male patient with end-stage renal disease. To the best of our knowledge, this is the first Korean report of a patient with JS due to CEP290 mutation (c.6012-12T> A) whose diagnosis was confirmed after repetitive MRI. We suggest consultation with an experienced neuro-radiologist and follow-up MRI studies to detect a "hidden" MTS if clinical findings suggest a diagnosis of JS. Furthermore, even in the absence of an MTS, whole exome sequencing should be considered.

Agrobacterium-Mediated Transformation on a Plant with Saccharomyces cerevisiae Acid Phosphatse Gene(PHO5) (Agrobacterium을 이용한 Saccharomyces cerevisiae Acid Phosphatse 유전자 (PHO5) 의 식물체로의 도입)

  • Ki yong Kim;Dae yuong Son;Yong Gu Park;Won Il Jung;Jin Ki Jo
    • Journal of The Korean Society of Grassland and Forage Science
    • /
    • v.13 no.3
    • /
    • pp.177-183
    • /
    • 1993
  • This study was conducted to obtain the transformed tobacco plants with S. cerevisiae Acid phosphatase gene(PH05) using Agrobacterium tumefaciens and th confirm plant transformation and gene expression. the results obtained were summarized as follows: APase activity of Saccharomyces cereviase NA 87-11A was remarkably showed up as deep red color when assayed by Tohe and Oshima(1974). PH05 fragment, Apase gene, was obtained from pVC727G and the graphically estimated size was about 1.5kb by agarose gel electrophoresis. The sequencing results of 5'end and 3'end of PH05 using dideoxy chain termination method were coinsided with the full length nucleotide already. pBKJ I vector was constructed by isolation of PH05 fragment from pVC727-1 and pBKSI-1 digesred with Sma I and Xba I. Isolated plasmid from transformed A. tumefaciens with constructed pBKJ I when it was electrophoresed with agarose gel. The dosc of tobacco leaf was cocultivated 재소 transformed Agronacterium tumefaciens. Transformed shoots were selected on kanamtcin-containing MS-n/B medium and they were regenerated. The transgenic tobacco plants were elucidated by isolation of genomic DNA and genomic southern hybridization using ${\alpha}-^{32}P$ labelled PH05 fragments. The PH05 in transformed tobacco plants was expressed in leaf, stem and root, and its APase activity was estimated as deep red color by Tohe method.

  • PDF

Population analysis of the toxic dinoflagellate genus Alexandrium by novel molecular markers

  • Kim, Choong-jae;Kim, Sook-Yang;Kim, Kui-Young;Kang, Young-Sil;Kim, Hak-Gyoon;Kim, Chang-Hoon
    • Proceedings of the Korean Aquaculture Society Conference
    • /
    • 2003.10a
    • /
    • pp.134-135
    • /
    • 2003
  • The geographic expansion of the toxic dinoflagellates genus Alexandrium has been shown to be world wide ranging. The members of the genus Alexandrium ocnstituted of 20-30 species did not show substantial differences in their morphology, which is mostly referred in the 'tamarensis species complex', except some species. Though rDNA sequences variations are very few and pseudogene types are so diverse that it is difficult to use them as the specific markers. In this study, we outlined Korean and Japanese A, tamarense and A. catenella regional isolates by phylogenetic analysis inferred from no cutting alignments of LSU rDNA D1-D2 and SSU rDNA sequences to group these regional isolates. The results were compared to RFLP patterns of PCR products targeted chloroplast DNA. Lastly screening of highly repeated microsatellite DNA which is frequently used for population analysis in eukaryotes was conducted. A. catenella regional strains identified by the sequencing of rDNA D1-D2 domain were divided into at least 3 groups of type E, CMC and Chinese type, divergence root may not be deep comparing with that of A. tamarense whose pseudogenes are very variable. Results of RFLP pattern and the phylogeny of the unknown gene targeting chloroplast showed that Korean and Japanese A. catenella regional isolates were divided into 3 types: Korean, Japanese and the third CMC types. Population-specific PCR amplification with Japanese A. catenella type-specific PCR primers was useful method for population analysis of A. catenella. Various types of satellite sequences such as 5 nucleotides repeats were obtained from A. tamarense and A. catenella. The 5 nucleotides repeats were primed at the both 3'and 5' ends, and these repeats were prominent as longer repeated motifs. This repeated DNA was intercalated as internal sequences containing various types subrepeats. It is expected that these satellite DNA would be a useful molecular population marker through detail comparison among Alexandrium regional isolates to trace their transferring pathway and to prevent their human-associated their regional extents.

  • PDF

Current Insights into Research on Rice stripe virus

  • Cho, Won Kyong;Lian, Sen;Kim, Sang-Min;Park, Sang-Ho;Kim, Kook-Hyung
    • The Plant Pathology Journal
    • /
    • v.29 no.3
    • /
    • pp.223-233
    • /
    • 2013
  • Rice stripe virus (RSV) is one of the most destructive viruses of rice, and greatly reduces rice production in China, Japan, and Korea, where mostly japonica cultivars of rice are grown. RSV is transmitted by the small brown plant-hopper (SBPH) in a persistent and circulative-propagative manner. Several methods have been developed for detection of RSV, which is composed of four single-stranded RNAs that encode seven proteins. Genome sequence data and comparative phylogenetic analysis have been used to identify the origin and diversity of RSV isolates. Several rice varieties resistant to RSV have been selected and QTL analysis and fine mapping have been intensively performed to map RSV resistance loci or genes. RSV genes have been used to generate several genetically modified transgenic rice plants with RSV resistance. Recently, genome-wide transcriptome analyses and deep sequencing have been used to identify mRNAs and small RNAs involved in RSV infection; several rice host factors that interact with RSV proteins have also been identified. In this article, we review the current statues of RSV research and propose integrated approaches for the study of interactions among RSV, rice, and the SBPH.

Community Structure, Diversity, and Vertical Distribution of Archaea Revealed by 16S rRNA Gene Analysis in the Deep Sea Sediment of the Ulleung Basin, East Sea (16S rRNA 유전자 분석방법을 이용한 동해 울릉분지 심해 퇴적물 내 고세균 군집 구조 및 다양성의 수직분포 특성연구)

  • Kim, Bo-Bae;Cho, Hye-Youn;Hyun, Jung-Ho
    • Ocean and Polar Research
    • /
    • v.32 no.3
    • /
    • pp.309-319
    • /
    • 2010
  • To assess community structure and diversity of archaea, a clone sequencing analysis based on an archaeal 16S rRNA gene was conducted at three sediment depths of the continental slope and Ulleung Basin in the East Sea. A total of 311 and 342 clones were sequenced at the slope and basin sites, respectively. Marine Group I, which is known as the ammonia oxidizers, appeared to predominate in the surface sediment of both sites (97.3% at slope, 88.5% at basin). In the anoxic subsurface sediment of the slope and basin, the predominant archaeal group differed noticeably. Marine Benthic Group B dominated in the subsurface sediment of the slope. Marine Benthic Group D and Miscellaneous Crenarchaeotal Group were the second largest archaeal group at 8-9 cm and 18-19 cm depth, respectively. Marine Benthic Group C of Crenarchaeota occupied the highest proportion by accounting for more than 60% of total clones in the subsurface sediments of the basin site. While archaeal groups that use metal oxide as an electron acceptor were relatively more abundant at the basin sites with manganese (Mn) oxide-enriched surface sediment, archaeal groups related to the sulfur cycle were more abundant in the sulfidogenic sediments of the slope. Overall results indicate that archaeal communities in the Ulleung Basin show clear spatial variation with depth and sites according to geochemical properties the sediment. Archaeal communities also seem to play a significant role in the biogeochemical carbon (C), nitrogen (N), sulfur (S), and metal cycles at each site.