• 제목/요약/키워드: SSC2

검색결과 236건 처리시간 0.023초

제비꽃종류에서 나타나는 엽록체 DNA 게놈의 특이 유전자 특징 (The Specific Gene Characteristics of Chloroplast Genome in Viola)

  • 고아름;유기억
    • 한국자원식물학회:학술대회논문집
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    • 한국자원식물학회 2023년도 임시총회 및 춘계학술대회
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    • pp.19-19
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    • 2023
  • 제비꽃속 34분류군의 61개체를 대상으로 엽록체 DNA 게놈 특이 유전자의 특징을 알아보고자 하였다. 61개체의 엽록체 게놈 전체 길이는 155,535~158,940 bp 로 모두 전형적인 사분할 구조였다. 지역별로는 LSC 지역이 84,826~87,250 bp, SSC 지역이 16,338~18,654 bp, 그리고 IR 지역이 26,029~27,192 bp 였다. 유전자 개수는 131개로 84개 protein coding-gene, 37개 tRNA 유전자, 8개 rRNA유전자, 그리고 2개의 유사유전자인 𝜓rps19, 𝜓ycf1으로 구성되어 있었다. LSC/IRa 경계에 위치한 rps19 유전자 길이는 279 bp로 모든 분류군에서 동일하였으며, 𝜓rps19의 길이는 다양했으나 유전자 개수에는 영향을 미치지 않았다. SSC/IRb 경계에 위치한 ycf1 유전자 길이는 약 5,600 bp 였으나, V. japonica (MZ151699) 1개체에서는 다른 종에 비해 약 1,000 bp 위치에서 발생한 점돌연변이로 인해 종결 코돈이 나타나는 특징을 보였다. 한편 13분류군의 23개체에서는 𝜓ycf1의 길이가 650 bp 정도 짧은 것을 확인하였는데, 이 종류들은 원예종인 V. tricolor (ON262802) 이외에는 모두 줄기가 없는 분류군들로 IR 지역의 확장과 SSC 지역의 수축에 의한 것으로 판단된다. ndhF는 대체로 SSC 지역에 위치하나, V. inconspicua (MZ065354), V. mongolica (MW802534, ON548135), V. yunnanfuensis (MW802541) 등 4개체에서는 IRa/SSC 경계에 위치하면서 유사유전자가 발생하였고, 그 결과 다른 제비꽃 종류에 비해 유전자 개수가 132개로 차이를 보였다. 또한, V. collina (OP271831), V. mirabilis (MH256000), V. tricolor (ON262802) 등 3분류군에서는 SSC 지역이 inversion 되어 엽록체 이성질체가 존재함을 확인하였다. 이상의 결과를 종합하면, 제비 꽃속 엽록체 게놈 61개체의 ycf1, 𝜓ycf1, ndhF, 𝜓ndhF 등은 유전자 길이와 개수 등에 차이를 보이는 것으로 나타났으며, 제비꽃속에서도 엽록체 이성질체가 존재함을 확인할 수 있었다.

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Whole-genome association and genome partitioning revealed variants and explained heritability for total number of teats in a Yorkshire pig population

  • Uzzaman, Md. Rasel;Park, Jong-Eun;Lee, Kyung-Tai;Cho, Eun-Seok;Choi, Bong-Hwan;Kim, Tae-Hun
    • Asian-Australasian Journal of Animal Sciences
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    • 제31권4호
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    • pp.473-479
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    • 2018
  • Objective: The study was designed to perform a genome-wide association (GWA) and partitioning of genome using Illumina's PorcineSNP60 Beadchip in order to identify variants and determine the explained heritability for the total number of teats in Yorkshire pig. Methods: After screening with the following criteria: minor allele frequency, $MAF{\leq}0.01$; Hardy-Weinberg equilibrium, $HWE{\leq}0.000001$, a pair-wise genomic relationship matrix was produced using 42,953 single nucleotide polymorphisms (SNPs). A genome-wide mixed linear model-based association analysis (MLMA) was conducted. And for estimating the explained heritability with genome- or chromosome-wide SNPs the genetic relatedness estimation through maximum likelihood approach was used in our study. Results: The MLMA analysis and false discovery rate p-values identified three significant SNPs on two different chromosomes (rs81476910 and rs81405825 on SSC8; rs81332615 on SSC13) for total number of teats. Besides, we estimated that 30% of variance could be explained by all of the common SNPs on the autosomal chromosomes for the trait. The maximum amount of heritability obtained by partitioning the genome were $0.22{\pm}0.05$, $0.16{\pm}0.05$, $0.10{\pm}0.03$ and $0.08{\pm}0.03$ on SSC7, SSC13, SSC1, and SSC8, respectively. Of them, SSC7 explained the amount of estimated heritability along with a SNP (rs80805264) identified by genome-wide association studies at the empirical p value significance level of 2.35E-05 in our study. Interestingly, rs80805264 was found in a nearby quantitative trait loci (QTL) on SSC7 for the teat number trait as identified in a recent study. Moreover, all other significant SNPs were found within and/or close to some QTLs related to ovary weight, total number of born alive and age at puberty in pigs. Conclusion: The SNPs we identified unquestionably represent some of the important QTL regions as well as genes of interest in the genome for various physiological functions responsible for reproduction in pigs.

유전자변형 다분화능 정원줄기세포를 이용한 키메라 생쥐의 생산 (Production of Chimeric Mice Following Transgenesis of Multipotent Spermatogonial Stem Cells)

  • 임정은;엄진희;김형준;박재균;이현정;이동률
    • 한국발생생물학회지:발생과생식
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    • 제13권4호
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    • pp.305-312
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    • 2009
  • 단분화성 정원줄기세포의 장기간 체외배양 중에 확립되는 다분화능 정원줄기세포는 배아줄기세포와 유사한 특성을 가져 3배엽성 세포로 체외분화가 가능하며 기형종을 형성할 수 있다. 본 연구에서는 선행 연구를 통해 outbred 생쥐(ICR strain)로부터 확립된 다분화능 정원줄기세포의 형질전환 가능성을 확인하며, 배아 내로 주입하여 유전적 키메라를 형성하는 효율을 배아줄기세포와의 비교를 통하여 검증하고자 하였다. 다분화능 정원줄기세포를 넣은 배아로부터 태어난 산자는 총 47마리(4.8%)가 태어나, 67마리(11.7%)가 태어난 배아줄기세포군에 비해 그 효율이 낮았다(P<0.05). 그러나 산자들 중의 키메라 생쥐의 비율은 다분화능 정원줄기세포 군으로 부터 3마리(6.4%)가 태어나 배아줄기세포 군으로부터 태어난 5마리(7.5%)와 유사하였다(P>0.05). 태어난 유전자변형 생쥐의 장기를 확인한 결과, 췌장, 심장, 뇌, 근육, 위, 피부, 정소에 GFP가 발현되는 것을 확인하였다. 또한 배아의 근육, 위, 뼈 등에서 anti-GFP 항체의 발현을 확인하였다. 이상의 결과를 종합하면 outbred 생쥐로부터 확립된 다분화능 정원줄기세포가 inbred 생쥐로부터 확립된 배아줄기세포와 마찬가지로 키메라 생쥐를 생산할 수 있는 전분화능을 가짐을 확인하였고, 새로운 유전자변형 동물의 생산을 위한 매개체로서의 가능성을 가진 것으로 여겨진다.

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SEMISUPERVISED CLASSIFICATION FOR FAULT DIAGNOSIS IN NUCLEAR POWER PLANTS

  • MA, JIANPING;JIANG, JIN
    • Nuclear Engineering and Technology
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    • 제47권2호
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    • pp.176-186
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    • 2015
  • Pattern classifications have become important tools for fault diagnosis in nuclear power plants (NPP). However, it is often difficult to obtain training data under fault conditions to train a supervised classification model. By contrast, normal plant operating data can be easily made available through increased deployment of supervisory, control, and data acquisition systems. Such data can also be used to train classification models to improve the performance of fault diagnosis scheme. In this paper, a fault diagnosis scheme based on semisupervised classification (SSC) scheme is developed. In this scheme, new measurements collected from the plant are integrated with data observed under fault conditions to train the SSC models. The trained models are subsequently applied to new measurements for fault diagnosis. In comparison with supervised classifiers, the proposed scheme requires significantly fewer data collected under fault conditions to train the classifier. The developed scheme has been validated using different fault scenarios on a desktop NPP simulator as well as on a physical NPP simulator using a graph-based SSC algorithm. All the considered faults have been successfully diagnosed. The results have demonstrated that SSC is a promising tool for fault diagnosis in NPPs.

Genome-wide association study to reveal new candidate genes using single-step approaches for productive traits of Yorkshire pig in Korea

  • Jun Park
    • Animal Bioscience
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    • 제37권3호
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    • pp.451-460
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    • 2024
  • Objective: The objective is to identify genomic regions and candidate genes associated with age to 105 kg (AGE), average daily gain (ADG), backfat thickness (BF), and eye muscle area (EMA) in Yorkshire pig. Methods: This study used a total of 104,380 records and 11,854 single nucleotide polymorphism (SNP) data obtained from Illumina porcine 60K chip. The estimated genomic breeding values (GEBVs) and SNP effects were estimated by single-step genomic best linear unbiased prediction (ssGBLUP). Results: The heritabilities of AGE, ADG, BF, and EMA were 0.50, 0.49, 0.49, and 0.23, respectively. We identified significant SNP markers surpassing the Bonferroni correction threshold (1.68×10-6), with a total of 9 markers associated with both AGE and ADG, and 4 markers associated with BF and EMA. Genome-wide association study (GWAS) analyses revealed notable chromosomal regions linked to AGE and ADG on Sus scrofa chromosome (SSC) 1, 6, 8, and 16; BF on SSC 2, 5, and 8; and EMA on SSC 1. Additionally, we observed strong linkage disequilibrium on SSC 1. Finally, we performed enrichment analyses using gene ontology and Kyoto encyclopedia of genes and genomes (KEGG), which revealed significant enrichments in eight biological processes, one cellular component, one molecular function, and one KEGG pathway. Conclusion: The identified SNP markers for productive traits are expected to provide valuable information for genetic improvement as an understanding of their expression.

Development of a Three-dimensional Hydrogel System for the Maintenance of Porcine Spermatogonial Stem Cell Self-renewal

  • Park, Ji Eun;Park, Min Hee;Kim, Min Seong;Yun, Jung Im;Choi, Jung Hoon;Lee, Eunsong;Lee, Seung Tae
    • 한국수정란이식학회지
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    • 제32권4호
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    • pp.343-351
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    • 2017
  • Porcine spermatogonial stem cells (SSCs) prefer three-dimensional (3D) culture systems to 2D ones for the maintenance of self-renewal. Of the many 3D culture systems, agar-based hydrogels are candidates for supporting porcine SSC self-renewal, and there are various types of agar powder that can be used. In this study, we sought to identify an agar-based 3D hydrogel system that exhibited strong efficacy in the maintenance of porcine SSC self-renewal. First, 3D hydrogels with different mechanics were prepared with various concentrations of Bacto agar, lysogeny broth (LB) agar, and agarose powder, and the 3D hydrogel with the strongest alkaline phosphatase (AP) activity and greatest increase in colony size was identified for the different types of agar powder. Second, among the porcine SSCs cultured in the different 3D hydrogels, we analyzed the colony formation, morphology, and size; AP activity; and transcription and translation of porcine SSC-related genes, and these were compared to determine the optimal 3D hydrogel system for the maintenance of porcine SSC self-renewal. We found that 0.6% (w/v) Bacto agar-, 1% (w/v) LB agar-, and 0.2% (w/v) agarose-based 3D hydrogels showed the strongest maintenance of AP activity and the most pronounced increase in colony size in the culture of porcine SSCs. Moreover, among these hydrogels, the strongest transcription and translation of porcine SSC-related genes and largest colony size were detected in porcine SSCs cultured in the 0.2% (w/v) agarose-based 3D hydrogel, whereas there were no significant differences in colony formation and morphology. These results demonstrate that the 0.2% (w/v) agarose-based 3D hydrogel can be effectively used for the maintenance of porcine SSC self-renewal.

A Melon Fruit Grading Machine Using a Miniature VIS/NIR Spectrometer: 1. Calibration Models for the Prediction of Soluble Solids Content and Firmness

  • Suh, Sang-Ryong;Lee, Kyeong-Hwan;Yu, Seung-Hwa;Shin, Hwa-Sun;Choi, Young-Soo;Yoo, Soo-Nam
    • Journal of Biosystems Engineering
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    • 제37권3호
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    • pp.166-176
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    • 2012
  • Purpose: This study was conducted to investigate the potential of interactance mode of NIR spectroscopy technology for the estimation of soluble solids content (SSC) and firmness of muskmelons. Methods: Melon samples were taken from local greenhouses in three different harvesting seasons (experiments 1, 2, and 3). The fruit attributes were measured at the 6 points on an equator of each sample where the spectral data were collected. The prediction models were developed using the original spectral data and the spectral data sets preprocessed by 20 methods. The performance of the models was compared. Results: In the prediction of SSC, the highest coefficient of determination ($R_{cv}{^2}$) values of the cross-validation was 0.755 (standard error of prediction, SEP=$0.89^{\circ}Brix$) with the preprocessing of normalization with range in experiment 1. The highest coefficient of determination in the robustness tests, $R_{rt}{^2}$=0.650 (SEP=$1.03^{\circ}Brix$), was found when the best model of experiment 3 was evaluated with the data set of experiment 2. The best $R_{cv}{^2}$ for the prediction of firmness was 0.715 (SEP=3.63 N) when no preprocessing was applied in experiment 1. The highest $R_{rt}{^2}$ was 0.404 (SEP=5.30 N) when the best model of experiment 3 was applied to the data set of experiment 1. Conclusions: From the test results, it can be concluded that the interactance mode of VIS/NIR spectroscopy technology has a great potential to measure SSC and firmness of thick-skinned muskmelons.

Spent Sulfidic Casutic의 BNR 공정 적용을 위한 최적화 연구 (Study on the Optimization of Spent Sulfidic Caustic Applied for BNR Process)

  • 이재호;주동진;박정진;신춘환
    • 한국환경과학회지
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    • 제20권12호
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    • pp.1617-1624
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    • 2011
  • Caustic (NaOH) solution is used to remove $H_2S$ from hydrocarbon streams in petroleum refining industry, gradually being, so called, spent sulfidic caustic (SSC) which has high levels of $H_2S$ and alkalinity. Thus, SSC can be used as an electron donor and a buffering agent for autotrophic denitrification. As SSC, however, contains some non-biodegradable organics, air stripping was conducted to remove the non-biodegradable organics. As a result, over 93 % of the non-biodegradable organics was removed within 30 min of aeration. Then, $Na_2S_2O_3{\cdot}5H_2O$, methanol and organic matters, which are produced from a biodiesel production plant, were added to reform the air-stripped SSC and their products being referred to new sulfidic caustics (NSCs) I, II and III, respectively. Thereafter, to investigate the effect of these products on the removal of COD and TN, these products were injected to a biological nitrogen removal (BNR) process, resulting in additional 44 % TN removal without noticeable increase in the effluent COD level. Therefore, it can be said that the BNR process is a promising option to treat NSC as demonstrated in this study whose results can be useful for developing resource recovery technologies.

안정화된 딥 네트워크 구조를 위한 다항식 신경회로망의 연구 (A Study on Polynomial Neural Networks for Stabilized Deep Networks Structure)

  • 전필한;김은후;오성권
    • 전기학회논문지
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    • 제66권12호
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    • pp.1772-1781
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    • 2017
  • In this study, the design methodology for alleviating the overfitting problem of Polynomial Neural Networks(PNN) is realized with the aid of two kinds techniques such as L2 regularization and Sum of Squared Coefficients (SSC). The PNN is widely used as a kind of mathematical modeling methods such as the identification of linear system by input/output data and the regression analysis modeling method for prediction problem. PNN is an algorithm that obtains preferred network structure by generating consecutive layers as well as nodes by using a multivariate polynomial subexpression. It has much fewer nodes and more flexible adaptability than existing neural network algorithms. However, such algorithms lead to overfitting problems due to noise sensitivity as well as excessive trainning while generation of successive network layers. To alleviate such overfitting problem and also effectively design its ensuing deep network structure, two techniques are introduced. That is we use the two techniques of both SSC(Sum of Squared Coefficients) and $L_2$ regularization for consecutive generation of each layer's nodes as well as each layer in order to construct the deep PNN structure. The technique of $L_2$ regularization is used for the minimum coefficient estimation by adding penalty term to cost function. $L_2$ regularization is a kind of representative methods of reducing the influence of noise by flattening the solution space and also lessening coefficient size. The technique for the SSC is implemented for the minimization of Sum of Squared Coefficients of polynomial instead of using the square of errors. In the sequel, the overfitting problem of the deep PNN structure is stabilized by the proposed method. This study leads to the possibility of deep network structure design as well as big data processing and also the superiority of the network performance through experiments is shown.

협업정부 구현을 위한 행정공유서비스센터 도입방안 연구 - 정부 공유서비스센터 선진국 사례연구를 기반으로 - (Public Shared Service Centers for Collaborative Government: A Case Study of the United States and the United Kingdom)

  • 홍길표;정충식;김판석
    • 정보화정책
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    • 제21권3호
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    • pp.33-55
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    • 2014
  • 본 연구에서는 협업정부를 실현하는 방법의 하나로 행정공유서비스센터(Public Shared Service Center)를 우리나라 정부 및 공공부문에 도입하는 방안을 연구하고 있다. 이를 위해 우선 공유서비스 및 공유서비스센터(SSC)의 개념 및 기능에 대해 소개하였다. 이어서 일찍부터 정부 내 SSC를 도입해 운영하고 있는 미국과 영국의 사례를 연구하고, 그 정책적 시사점을 도출하였다. 도출된 시사점은 다음과 같다. 우선 종합적이고 장기적인 전략적 계획이 필요하다. 복수의 SSC 경쟁 체제로 시작하지만 중장기적으로는 다원거점으로 통합이 필요하다. 정부 내 SSC 도입의 기대효과에 대한 현실적인 눈높이 조정이 필요하다. 정부 내 SSC 도입과 함께 공직문화 혁신작업이 반드시 병행되어야 한다. 그리고 정부 내 SSC 실행의 기술적 기반에 대한 정교한 검토와 함께 단축경로 모색이 필요하다. 마지막으로 우리나라의 정부조직 및 행정 현실, 국가정보화의 기술적 기반특성 등을 고려한 단계별 PSSC 도입방안을 제안하였다. 즉 1단계로 안전행정부 내 한국형 PSSC를 시범 도입해 운영하고, 그 운영성과를 평가하면서 단계적으로 추진해야 한다. 시범 도입 시 인력 외의 관리요소를 집중 위탁하는 것에 중점을 두고 도입 효과를 극대화할 수 있도록 규모의 경제와 전문성의 강화효과를 가져올 수 있는 부분에 한정하는 것이 필요하다. 이어서 본격적 추진을 위해서는 창조정부조직실 및 전자정부국의 총괄기획 및 지원노력과 함께 이를 전담할 수 있는 정부 조직체계가 필요하다는 점을 제안하였다.