• Title/Summary/Keyword: Genetic factor

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Isolation of Multi-Abiotic Stress Response Genes to Generate Global Warming Defense Forage Crops

  • Ermawati, Netty;Hong, Jong Chan;Son, Daeyoung;Cha, Joon-Yung
    • Journal of The Korean Society of Grassland and Forage Science
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    • v.41 no.4
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    • pp.242-249
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    • 2021
  • Forage crop management is severely challenged by global warming-induced climate changes representing diverse a/biotic stresses. Thus, screening of valuable genetic resources would be applied to develop stress-tolerant forage crops. We isolated two NAC (NAM, ATAF1, ATAF2, CUC2) transcription factors (ANAC032 and ANAC083) transcriptionally activated by multi-abiotic stresses (salt, drought, and cold stresses) from Arabidopsis by microarray analysis. The NAC family is one of the most prominent transcription factor families in plants and functions in various biological processes. The enhanced expressions of two ANACs by multi-abiotic stresses were validated by quantitative RT-PCR analysis. We also confirmed that both ANACs were localized in the nucleus, suggesting that ANAC032 and ANAC083 act as transcription factors to regulate the expression of downstream target genes. Promoter activities of ANAC032 and ANAC083 through histochemical GUS staining again suggested that various abiotic stresses strongly drive both ANACs expressions. Our data suggest that ANAC032 and ANAC083 would be valuable genetic candidates for breeding multi-abiotic stress-tolerant forage crops via the genetic modification of a single gene.

Generalized Solution Procedure for Slope Stability Analysis Using Genetic Algorithm (유전자 알고리즘을 이용한 사면안정해석의 일반화 해법)

  • Shin, Eun-Chul;Patra, Chittaranjan R.;Pradhan, R.
    • Journal of the Korean Geotechnical Society
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    • v.24 no.3
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    • pp.5-11
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    • 2008
  • This paper pertains to the incorporation of a genetic algorithm methodology for determining the critical slip surface and the corresponding factor of safety of soil slopes using inclined slice method. The analysis is formulated as a constrained optimization problem to solve the nonlinear equilibrium equations and finding the factor of safety and the critical slip surface. The sensitivity of GA optimization method is presented in terms of development of failure surface. Example problem is presented to demonstrate the efficiencies of the genetic algorithm approach. The results obtained by this method are compared with other traditional optimization technique.

Molecular Genetic Diagnosis of Genetic Endocrine Diseases (유전성 내분비 질환의 분자유전학적 진단)

  • Choi, Jin-Ho;Kim, Gu-Hwan;Yoo, Han-Wook
    • Journal of Genetic Medicine
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    • v.7 no.1
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    • pp.16-23
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    • 2010
  • Many endocrine disorders have a genetic component. The genetic component is the major etiologic factor in monogenic disorders, while multiple genes in conjunction with environmental and lifestyle factors contribute to the pathogenesis in complex disorders. The development of the molecular basis of inherited endocrine diseases has undergone a dramatic evolution during the last two decades. The application of molecular technology allowed us to increase our understanding of endocrine diseases, and to impact on the practice of pediatric endocrinology related to diagnosis and genetic counseling. Identification of the mutation in the particular disease by genetic testing leads to precise diagnosis in the equivocal cases and prenatal diagnosis. However, clinicians should be cautious about determining therapeutic decisions solely on the basis of molecular studies, especially in the area of prenatal diagnosis and termination of pregnancy. This review describes an introduction to molecular basis of various inherited endocrine diseases and diagnosis by genetic testing.

Genetic parameters for somatic cell score, milk yield and type traits in Nigerian Dwarf goats

  • Valencia-Posadas, Mauricio;Lechuga-Arana, Alma Arianna;Avila-Ramos, Fidel;Shepard, Lisa;Montaldo, Hugo H.
    • Animal Bioscience
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    • v.35 no.3
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    • pp.377-384
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    • 2022
  • Objective: This study was conducted to estimate multi-trait genetic parameters for somatic cell score (SCS), milk yield and type traits in Nigerian Dwarf (ND) goats from the United States. Methods: Data from 1,041 ND goats in the United States with kiddings in 95 herds were used to estimate multi-trait genetic parameters for SCS, milk (MILK), fat (FAT), and protein (PROT) yields, and 14 type traits. An 18-trait mixed linear animal model for lactation mean SCS (Log2), MILK, FAT, PROT, and 14 type traits was applied. A factor analytic approach (FA1) in ASReml software was used to obtain convergence. Results: Averages for SCS were low (2.85±1.29 Log2), and were 314±110.6, 20.9±7.4, and 14±4.9 kg, respectively, for MILK, FAT, and PROT. Heritabilities for SCS, MILK, FAT, and PROT were 0.32, 0.16, 0.16, and 0.10, respectively. The highest heritabilities for type traits were for stature (0.72), teat diameter (0.49), and rump width (0.48), and the lowest estimates were for dairyness (0.003) and medial suspensory ligament (0.03). Genetic correlations of SCS with MILK, FAT, and PROT were positive but low (0.25, 0.18, and 0.23, respectively). Genetic and phenotypic correlations between MILK, FAT, and PROT were high and positive (≥0.66). Absolute values of genetic correlations involving SCS with type traits were generally low or no different from zero. Most of the phenotypic correlations involving SCS with type traits were low. No serious unfavorable genetic correlations between milk yield traits and SCS or between milk yield traits or SCS and type traits were found. Conclusion: Genetic variation exists in the ND breed for most studied traits. The development of selection programs based on these estimates may help accelerate favorable multi-trait genetic changes in this breed.

Factor Analysis of Biometric Traits of Kankrej Cows to Explain Body Conformation

  • Pundir, R.K.;Singh, P.K.;Singh, K.P.;Dangi, P.S.
    • Asian-Australasian Journal of Animal Sciences
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    • v.24 no.4
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    • pp.449-456
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    • 2011
  • Eighteen different biometric traits in 407 Kankrej cows from their breeding zone, i.e. Palanpur district of Gujarat, India, were recorded and analyzed by factor analysis to explain body conformation. The averages of body length, height at withers, height at shoulder, height at knee, heart girth, paunch girth, face length, face width, horn length, horn diameter, distance between horns, ear length, ear width, neck length, neck diameter, tail length with switch, tail length without switch and distance between hip bones were $123.44{\pm}0.37$, $124.49{\pm}0.28$, $94.68{\pm}0.30$, $38.2{\pm}0.14$, $162.56{\pm}0.56$, $178.95{\pm}0.70$, $44.09{\pm}0.10$, $15.91{\pm}0.05$, $42.47{\pm}0.53$, $26.07{\pm}0.19$, $13.34{\pm}0.08$, $31.24{\pm}0.12$, $16.10{\pm}0.05$, $50.63{\pm}0.18$, $73.21{\pm}0.32$, $111.62{\pm}0.53$, $89.34{\pm}0.34$ and $17.28{\pm}0.10\;cm$, respectively. The correlation coefficients between different traits ranged from -0.806 (horn diameter and distance between horns) to 0.815 (heart girth and paunch girth). Most of the correlations were positive and significant. Factor analysis with promax rotation with power 3 revealed three factors which explained about 66.02% of the total variation. Factor 1 described the cow body and explained 38.89% of total variation. The second factor described the front view/face of the cow and explained 19.68% of total variation. The third factor described the back of the cow and explained 7.44% of total variation. It was necessary to include some more variables for factor 3 to obtain a reliable estimate of the back view of the cow. The lower communities shown for distance between horns, horn diameter, ear width and neck diameter indicated that these traits did not contribute effectively to explaining body conformation and can be dropped from recording, whereas all other traits are important and needed to explain body conformation in Kankrej cows. The result suggests that principal component analysis (PCA) could be used in breeding programs with a drastic reduction in the number of biometric traits to be recorded to explain body conformation.

Laboratory Misdiagnosis of von Willebrand Disease Caused by Preanalytical Issues: Sample Collection, Transportation, and Processing

  • Kim, In-Suk
    • Journal of Interdisciplinary Genomics
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    • v.2 no.1
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    • pp.5-9
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    • 2020
  • von Willebrand disease (VWD) is a genetic bleeding disorders caused by a deficiency of von Willebrand factor (VWF). Diagnosis or exclusion of VWD is not an easy task for most clinicians. These difficulties in diagnosis or exclusion of VWD may be due to preanalytic, analytical and postanalytic laboratory issues. Analytical systems to diagnose VWD may produce misleading results because of limitations in their dynamic range of measurement and low sensitivity. However, preanalytical issues such as sample collection, processing, and transportation affect the diagnosis of VWD profoundly. We will review here the common preanlytical issues that may impact the laboratory diagnosis of VWD.

Optimal Design of Scaling Factor Tuning of Fuzzy Logic Controller Using Genetic Algorithm (유전알고리즘을 이용한 이득요소 동조 퍼지 제어기 최적설계)

  • Hwang, Yong-Won;Oh, Jin-Soo;Park, Kun-Hwa;Hong, Young-Jun;Nam, Moon-Hyon
    • Proceedings of the KIEE Conference
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    • 1999.07b
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    • pp.897-899
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    • 1999
  • This paper presents a scaling factor tuning method to improve the performance of fuzzy logic controller. Tuning rules and reasoning are utilized off-line to determine the scaling factors based on absolute value of the error and its difference. In this paper We proposed a new method to generate fuzzy logic controllers throught genetic algorithm. The developed approach is subsequently applied to the design of proportional plus integral type fuzzy controller for a dc-servo motor control system. The performance of this control system is demonstrated higher than a conventional fuzzy logic controller(FLC).

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A Study on Optimal Wear Design for a Gerotor Pump (제로터 펌프의 마멸 최적설계에 관한 연구)

  • Kwon, Soon-Man;Nam, Hyoung-Chul;Lu, Lei;Shin, Joong-Ho
    • Transactions of the Korean Society of Mechanical Engineers A
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    • v.33 no.1
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    • pp.82-88
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    • 2009
  • A disadvantage in the design of gerotor pump is a lack of parts that can be adjusted to compensate for wear in the rotor set, and as a consequence, it causes a sharp reduction of efficiency. In this paper, an attempt has been made to reduce the wear rate between the rotors of a gerotor pump. To do this, floating genetic algorithm (FGA) is used as an optimization technique for minimizing the wear rate proportional factor (WRPF). The result shows that the wear rate can be reduced considerably, e.g. approximately 8% in this paper, throughout the optimization using FGA.

Energy Efficiency Prediction Based on an Evolutionary Design of Incremental Granular Model (점증적 입자 모델의 진화론적 설계에 근거한 에너지효율 예측)

  • Yeom, Chan-Uk;Kwak, Keun-Chang
    • The Transactions of the Korean Institute of Electrical Engineers P
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    • v.67 no.1
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    • pp.47-51
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    • 2018
  • This paper is concerned with an optimization design of Incremental Granular Model(IGM) based Genetic Algorithm (GA) as an evolutionary approach. The performance of IGM has been successfully demonstrated to various examples. However, the problem of IGM is that the same number of cluster in each context is determined. Also, fuzzification factor is set as typical value. In order to solve these problems, we develop a design method for optimizing the IGM to optimize the number of cluster centers in each context and the fuzzification factor. We perform energy analysis using 12 different building shapes simulated in Ecotect. The experimental results on energy efficiency data set of building revealed that the proposed GA-based IGM showed good performance in comparison with LR and IGM.

Genetic Polymorphism of Vascular Endothelial Growth Factor (VEGF C936T) in the Korean Population

  • Kim, Jin-Kyeoung;Oh, Do-Yeun;Kwak, Sun-Young;Han, Jin-Hee;Chung, Young-Sun;Kim, Nam-Keun
    • Animal cells and systems
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    • v.7 no.3
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    • pp.261-264
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    • 2003
  • Leiden), no mutation was detected in either group. Allele frequencies of A2379G and G2391 A mutations were not significantly different between CAD patients and controls. Non-Caucasian populations have a considerably lower factor Ⅴ Leiden allele frequency than Caucasian populations. Thus, it may be due to differences in the genetic background as well as environmental factors.