• Title/Summary/Keyword: parent selection

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Differential Evolution Based Clustering (차분진화에 기초한 클러스터링)

  • Ham, Seo-Hyun;Lee, Hyun-Chang;Shin, Seong-Yoon
    • Proceedings of the Korean Society of Computer Information Conference
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    • 2019.07a
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    • pp.389-390
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    • 2019
  • Tensor decomposition, proven to be an efficient data processing method, can be used to provide data-driven services. we propose a novel datadriven mutation strategy for parent individuals selection, namely tensor-based DE with parapatric and cross-generation(TPCDE).

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Role of colonoscopy in the diagnosis and treatment of pediatric lower gastrointestinal disorders

  • Park, Jae-Hong
    • Clinical and Experimental Pediatrics
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    • v.53 no.9
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    • pp.824-829
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    • 2010
  • The safety and effectiveness of colonoscopy in the investigation of lower gastrointestinal tract pathology in children has been established for more than 2 decades in Korea. The skill and experience have since advanced to the point that both diagnostic and therapeutic colonoscopy are now routinely performed by most pediatric gastroenterologists. Pediatric colonoscopy differs significantly from its adult parallels in nearly every aspect including patient and parent management and preparation, selection criteria for sedation and general anesthetic, bowel preparation, expected diagnoses, instrument selection, imperative for terminal ileal intubation, and requirement for biopsies from macroscopically normal mucosa. Investigation of inflammatory bowel disease, whether for diagnosis or follow-up evaluation, and suspected colonic polyps are the most common indication for pediatric colonoscopy. The child who presents with signs and symptoms of lower gastrointestinal disorder should undergo colonoscopy with biopsy to make the diagnosis, as well as to help determine the appropriate therapy. This review introduces practical information on pediatric colonoscopy, the author's experiences, and the role of colonoscopic examination in the diagnosis and treatment of pediatric lower gastrointestinal disorders.

Recognition of Social Pre-parent Role & Educational Needs and Role Readiness for Unmarried Men and Women - IPA Analysis (미혼남녀의 사회적 부모역할 인식과 교육요구도 및 준비도 - IPA 분석)

  • Je, Nam Joo;Park, Meera
    • The Journal of the Korea Contents Association
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    • v.19 no.3
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    • pp.416-428
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    • 2019
  • The purpose of this study is to provide basic data for the development of pre-parent education program by grasping parent role recognition, educational needs and readiness of unmarried men and women. The subjects were 196 unmarried male and female students from K-do. Data were collected from November 1st to 20th, 2018, and analyzed using IBM SPSS WIN/21.0 to get frequency, percentage, average, standard deviation, t-test, ANOVA, sheffe-test, paired t-test, and IPA matrix. The average score of recognition of social pre-parent role was $3.41{\pm}0.27$ (out of 5 points), educational needs was $3.48{\pm}0.41$ points (out of 4 points), and educational readiness was $2.65{\pm}0.57$ points (out of 4 points). educational needs being higher than educational readiness. Through IPA matrix analysis, the area to be strengthened was 'family relation or parent role', and 'self understanding' was the area to encourage putting effort into other evaluation attributes. The area where no further effort is needed and needs improvement in the future was 'spouse selection and marriage', and 'pregnancy and childbirth' and 'child rearing' were the areas to intensively improve. Therefore, there is a need for establishing a standardized strategy in the area A, which has high degree of readiness and needs. Also, it is necessary to take strategies and countermeasures to raise the readiness of area C with low degree of readiness and needs, rather than accepting it as an unnecessary area of further effort input.

Recurrent parent genome (RPG) recovery analysis in a marker-assisted backcross breeding based on the genotyping-by-sequencing in tomato (Solanum lycopersicum L.) (토마토 MABC 육종에서 GBS(genotyping-by-sequencing)에 의한 RPG(recurrent parent genome) 회복률 분석)

  • Kim, Jong Hee;Jung, Yu Jin;Seo, Hoon Kyo;Kim, Myong-Kwon;Nou, Ill-Sup;Kang, Kwon Kyoo
    • Journal of Plant Biotechnology
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    • v.46 no.3
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    • pp.165-171
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    • 2019
  • Marker-assisted backcrossing (MABC) is useful for selecting an offspring with a highly recovered genetic background for a recurrent parent at early generation to various crops. Moreover, marker-assisted backcrossing (MABC) along with marker-assisted selection (MAS) contributes immensely to overcome the main limitation of the conventional breeding and it accelerates recurrent parent genome (RPG) recovery. In this study, we were employed to incorporate rin gene(s) from the donor parent T13-1084, into the genetic background of HK13-1151, a popular high-yielding tomato elite inbred line that is a pink color fruit, in order to develop a rin HK13-1084 improved line. The recurrent parent genome recovery was analyzed in early generations of backcrossing using SNP markers obtained from genotyping-by-sequencing analysis. From the $BC_1F_1$ and $BC_2F_1$ plants, 3,086 and 4868 polymorphic SNP markers were obtained via GBS analysis, respectively. These markers were present in all twelve chromosomes. The background analysis revealed that the extent of RPG recovery ranged from 56.7% to 84.5% and from 87.8% to 97.8% in $BC_1F_1$ and $BC_2F_1$ generations, respectively. In this study, No 5-1 with 97.8% RPG recovery rate among $BC_2F_1$ plants was similar to HK13-1151 strain in the fruit shape. Therefore, the selected plants were fixed in $BC_2F_2$ generation through selfing. MAS allowed identification of the plants that are more similar to the recurrent parent for the loci evaluated in the backcross generations. MABC can greatly reduce breeding time as compared to the conventional backcross breeding. For instance, MABC approach greatly shortened breeding time in tomato.

Effects of Natural Selection, Mutagenesis, and Protoplast Formation and Cell Wall Regeneration on the Production of Aminoglycoside Antibiotics

  • Goo, Yang-Mo;Lim, Hyon-Joo;Lim, Seok-Ran;Kim, Kong-Hwan;Lim, Bun-Sam;Lee, Sae-Bae
    • Archives of Pharmacal Research
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    • v.12 no.4
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    • pp.249-253
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    • 1989
  • High producers or blocked mutants of aminoglycoside antibiotic-producing Streptomyces spp. were selected by application of an agar plug method and by culturing individual colonies in broth. The productivities of aminoglycoside antibiotic producing organisms were increased by selection of a high producer from colonies obtained by spreading spores of wild strain, or survived from treatment of a mutagen or from the colonies regenerated from protoplast-formation and cell-wall regenerations. Some mutagen treated colonies lost the ability to produce antibiotics (5-8%). Some A-factor negative and deostreptamine or streptidine negative mutants were obtained by N-methyl-N'-nitro-N-nitrosomethylguanidine (MNNG) treatment. Many of the survivors from the MNNG treatment lost the ability to produce antibiotics. Major colonies produced less amount of antibiotics ; only few survived colonies produced more antibiotics than the parent. Resistance of Streptomyces spp. against the antibiotics produced by itself was also markedly affected by mutagen treatment.

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Genomic Tools and Their Implications for Vegetable Breeding

  • Phan, Ngan Thi;Sim, Sung-Chur
    • Horticultural Science & Technology
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    • v.35 no.2
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    • pp.149-164
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    • 2017
  • Next generation sequencing (NGS) technologies have led to the rapid accumulation of genome sequences through whole-genome sequencing and re-sequencing of crop species. Genomic resources provide the opportunity for a new revolution in plant breeding by facilitating the dissection of complex traits. Among vegetable crops, reference genomes have been sequenced and assembled for several species in the Solanaceae and Cucurbitaceae families, including tomato, pepper, cucumber, watermelon, and melon. These reference genomes have been leveraged for re-sequencing of diverse germplasm collections to explore genome-wide sequence variations, especially single nucleotide polymorphisms (SNPs). The use of genome-wide SNPs and high-throughput genotyping methods has led to the development of new strategies for dissecting complex quantitative traits, such as genome-wide association study (GWAS). In addition, the use of multi-parent populations, including nested association mapping (NAM) and multiparent advanced generation intercross (MAGIC) populations, has helped increase the accuracy of quantitative trait loci (QTL) detection. Consequently, a number of QTL have been discovered for agronomically important traits, such as disease resistance and fruit traits, with high mapping resolution. The molecular markers for these QTL represent a useful resource for enhancing selection efficiency via marker-assisted selection (MAS) in vegetable breeding programs. In this review, we discuss current genomic resources and marker-trait association analysis to facilitate genome-assisted breeding in vegetable species in the Solanaceae and Cucurbitaceae families.

Evaluation of Germplasm and Development of SSR Markers for Marker-assisted Backcross in Tomato (분자마커 이용 여교잡 육종을 위한 토마토 유전자원 평가 및 SSR 마커 개발)

  • Hwang, Ji-Hyun;Kim, Hyuk-Jun;Chae, Young;Choi, Hak-Soon;Kim, Myung-Kwon;Park, Young-Hoon
    • Horticultural Science & Technology
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    • v.30 no.5
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    • pp.557-567
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    • 2012
  • This study was conducted to achieve basal information for the development of tomato cultivars with disease resistances through marker-assisted backcross (MAB). Ten inbred lines with TYLCV, late blight, bacterial wilt, or powdery mildew resistance and four adapted inbred lines with superior horticultural traits were collected, which can be useful as the donor parents and recurrent parents in MAB, respectively. Inbred lines collected were evaluated by molecular markers and bioassay for confirming their disease resistances. To develop DNA markers for selecting recurrent parent genome (background selection) in MAB, a total of 108 simple sequence repeat (SSR) primer sets (nine per chromosome at average) were selected from the tomato reference genetic maps posted on SOL Genomics Network. Genetic similarity and relationships among the inbred lines were assessed using a total of 303 polymorphic SSR markers. Similarity coefficient ranged from 0.33 to 0.80; the highest similarity coefficient (0.80) was found between bacterial wilt-resistant donor lines '10BA333' and '10BA424', and the lowest (0.33) between a late blight resistant-wild species L3708 (S. pimpinelliforium L.) and '10BA424'. UPGMA analysis grouped the inbred lines into three clusters based on the similarity coefficient 0.58. Most of the donor lines of the same resistance were closely related, indicating the possibility that these lines were developed using a common resistance source. Parent combinations (donor parent ${\times}$ recurrent parent) showing appropriate levels of genetic distance and SSR marker polymorphism for MAB were selected based on the dendrogram. These combinations included 'TYR1' ${\times}$ 'RPL1' for TYLCV, '10BA333' or '10BA424' ${\times}$ 'RPL2' for bacterial wilt, and 'KNU12' ${\times}$ 'AV107-4' or 'RPL2' for powdery mildew. For late blight, the wild species resistant line 'L3708' was distantly related to all recurrent parental lines, and a suitable parent combination for MAB was 'L3708' ${\times}$ 'AV107-4', which showed a similarity coefficient of 0.41 and 45 polymorphic SSR markers.

Machine Learning Perspective Gene Optimization for Efficient Induction Machine Design

  • Selvam, Ponmurugan Panneer;Narayanan, Rengarajan
    • Journal of Electrical Engineering and Technology
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    • v.13 no.3
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    • pp.1202-1211
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    • 2018
  • In this paper, induction machine operation efficiency and torque is improved using Machine Learning based Gene Optimization (ML-GO) Technique is introduced. Optimized Genetic Algorithm (OGA) is used to select the optimal induction machine data. In OGA, selection, crossover and mutation process is carried out to find the optimal electrical machine data for induction machine design. Initially, many number of induction machine data are given as input for OGA. Then, fitness value is calculated for all induction machine data to find whether the criterion is satisfied or not through fitness function (i.e., objective function such as starting to full load torque ratio, rotor current, power factor and maximum flux density of stator and rotor teeth). When the criterion is not satisfied, annealed selection approach in OGA is used to move the selection criteria from exploration to exploitation to attain the optimal solution (i.e., efficient machine data). After the selection process, two point crossovers is carried out to select two crossover points within a chromosomes (i.e., design variables) and then swaps two parent's chromosomes for producing two new offspring. Finally, Adaptive Levy Mutation is used in OGA to select any value in random manner and gets mutated to obtain the optimal value. This process gets iterated till finding the optimal value for induction machine design. Experimental evaluation of ML-GO technique is carried out with performance metrics such as torque, rotor current, induction machine operation efficiency and rotor power factor compared to the state-of-the-art works.

Selection and Characterization of Pseudomonas aeruginosa EMS1 Mutant strain Showing Enhanced Biosurfactant Production

  • Cha, Mi-Sun;Lee, Kuen-Hee;Lee, Na-Eun;Lee, Sang-Joon
    • 한국생물공학회:학술대회논문집
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    • 2003.10a
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    • pp.434-437
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    • 2003
  • A new bacterial strain, was isolated from activated sludge, identified and named P. aeruginosa EMS1. The new strain produced surface-active rhamnolipids by batch cultivation in mineral salts medium with waste flying oils. The mutant strain KH7, designated P. aeruginosa EMS1, derived by random mutagenesis with N-methyl-N-nitro-N-nitrosogoanidine treatment producing high levels of the biosurfactants was selected by an ion-pair plate assay. The mutant strain KH7 showed 4-5 times more hydrocarbon emulsification as compared to the parent when grown on waste frying oils and various hydrocarbons. Furthermore, P. aeruginosa EMS1 and mutant strain KH7 was also able to use whey as a co-substrate for growth and biosurfactant production. As results of this study, mutant strain KH7 is a very efficient biosurfactant producer, and its culture conditions are relatively inexpensive and economical. Rhamnolipid is synthesized by the rhlAB-encoded rhamnosyltransferase. To be convinced of these genes, we performed PCR based on P. aeruginosa PAO1 whole-genome database. rhl gene cluster nucleotide and amino acid sequences were compared for both parent and mutant. Comparison of nucleotide sequence of rhlAB, there were usually terminal's codons exchange.

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