• Title/Summary/Keyword: genetic mapping

Search Result 237, Processing Time 0.025 seconds

What Holds the Future of Quantitative Genetics? - A Review

  • Lee, Chaeyoung
    • Asian-Australasian Journal of Animal Sciences
    • /
    • v.15 no.2
    • /
    • pp.303-308
    • /
    • 2002
  • Genetic markers engendered by genome projects drew enormous interest in quantitative genetics, but knowledge on genetic architecture of complex traits is limited. Complexities in genetics will not allow us to easily clarify relationship between genotypes and phenotypes for quantitative traits. Quantitative genetics guides an important way in facing such challenges. It is our exciting task to find genes that affect complex traits. In this paper, landmark research and future prospects are discussed on genetic parameter estimation and quantitative trait locus (QTL) mapping as major subjects of interest.

Adaptive Application Component Mapping for Parallel Computation Offloading in Variable Environments

  • Fan, Wenhao;Liu, Yuan'an;Tang, Bihua
    • KSII Transactions on Internet and Information Systems (TIIS)
    • /
    • v.9 no.11
    • /
    • pp.4347-4366
    • /
    • 2015
  • Distinguished with traditional strategies which offload an application's computation to a single server, parallel computation offloading can promote the performance by simultaneously delivering the computation to multiple computing resources around the mobile terminal. However, due to the variability of communication and computation environments, static application component multi-partitioning algorithms are difficult to maintain the optimality of their solutions in time-varying scenarios, whereas, over-frequent algorithm executions triggered by changes of environments may bring excessive algorithm costs. To this end, an adaptive application component mapping algorithm for parallel computation offloading in variable environments is proposed in this paper, which aims at minimizing computation costs and inter-resource communication costs. It can provide the terminal a suitable solution for the current environment with a low incremental algorithm cost. We represent the application component multi-partitioning problem as a graph mapping model, then convert it into a pathfinding problem. A genetic algorithm enhanced by an elite-based immigrants mechanism is designed to obtain the solution adaptively, which can dynamically adjust the precision of the solution and boost the searching speed as transmission and processing speeds change. Simulation results demonstrate that our algorithm can promote the performance efficiently, and it is superior to the traditional approaches under variable environments to a large extent.

Mapping of the Porcine Calpastatin Gene and Association Study of Its Variance with Economic Traits in Pigs

  • Choi, B.H.;Lee, J.S.;Jang, G.W.;Lee, H.Y.;Lee, J.W.;Lee, K.T.;Chung, H.Y.;Park, H.S.;Oh, S.J.;Sun, S.S.;Myung, K.H.;Cheong, I.C.;Kim, T.H.
    • Asian-Australasian Journal of Animal Sciences
    • /
    • v.19 no.8
    • /
    • pp.1085-1089
    • /
    • 2006
  • The objectives of this study were to confirm a location of the calpastatin (CAST) gene in chromosome 2 and to detect associations of genetic variations with economic traits in the porcine CAST gene as a candidate gene for growth and meat quality traits in pigs. Calpastatin is a specific endogenous inhibitor of calpains. The calpain protease system is ubiquitous, and is involved in numerous growth and metabolic processes. Three single nucleotide variations were identified within a 1.6 kb fragment of the porcine CAST gene and these polymorphisms were used for genetic linkage mapping. Linkage and QTL mapping were performed with the National Livestock Research Institute (NLRI) reference families using eight microsatellites and SNP makers in the CAST gene. The porcine CAST gene was mapped adjacent to the markers, SW395 and SW1695 on SSC2 with LOD scores of 15.32 and 8.50, respectively. According to the QTL mapping, a significant association was detected at 82 cM between SW395 and CAST-Hinf I for weight at the age of 30 weeks. In addition, an association study was performed with the $F_2$ animals of NLRI reference families for Hinf I, Msp I and Rsa I polymorphisms in the CAST gene. Two polymorphisms, CAST-Rsa I and CAST-Hinf I, showed significant correlation for growth traits at p<0.01 and p<0.05, respectively.

Optimal Scheme of Retinal Image Enhancement using Curvelet Transform and Quantum Genetic Algorithm

  • Wang, Zhixiao;Xu, Xuebin;Yan, Wenyao;Wei, Wei;Li, Junhuai;Zhang, Deyun
    • KSII Transactions on Internet and Information Systems (TIIS)
    • /
    • v.7 no.11
    • /
    • pp.2702-2719
    • /
    • 2013
  • A new optimal scheme based on curvelet transform is proposed for retinal image enhancement (RIE) using real-coded quantum genetic algorithm. Curvelet transform has better performance in representing edges than classical wavelet transform for its anisotropy and directional decomposition capabilities. For more precise reconstruction and better visualization, curvelet coefficients in corresponding subbands are modified by using a nonlinear enhancement mapping function. An automatic method is presented for selecting optimal parameter settings of the nonlinear mapping function via quantum genetic search strategy. The performance measures used in this paper provide some quantitative comparison among different RIE methods. The proposed method is tested on the DRIVE and STARE retinal databases and compared with some popular image enhancement methods. The experimental results demonstrate that proposed method can provide superior enhanced retinal image in terms of several image quantitative evaluation indexes.

Genome Mapping Technology And Its Application In Plant Breeding (작물 육종에서 분자유전자 지도의 이용)

  • 은무영
    • Proceedings of the Botanical Society of Korea Conference
    • /
    • 1995.07a
    • /
    • pp.57-86
    • /
    • 1995
  • Molecular mapping of plant genomes has progressed rapidly since Bostein et al.(1980) introduced the idea of constructing linkage maps of human genome based on restriction fragment length polymorphism (RFLP) markers. In recent years, the development of protein and DNA markers has stimulated interest for the new approaches to plant improvement. While classical maps based on morphological mutant markers have provided important insights into the plant genetics and cytology, the molecular maps based on molecular markers have a number of inherent advatages over classical genetic maps for the applications in genetic studies and/or breeding schemes. Isozymes and DNA markers are numerous, discrete, non-deleterious, codominant, and almost entirely free of environmental and epistatic interactions. For these reasons, they are widely used in constructing detailed linkage maps in a number of plant species. Plant breeders improve crops by selecting plants with desirable phenotypes. However a plant's phenotyes is often under genetic control, positioning at different "quantitative trait loci" (QTLs) together with environmental effects. Molecular maps provide a possible way to determine the effect of the individual gene that combines to produce a quantitative trait because the segregation of a large number of markers can be followed in a single genetic cross. Using market-assisted selection, plants that contain several favorable genes for the trait and do not contain unfavourable segments can be obtained during early breeding processes. Providing molecular maps are available, valuable data relevant to the taxonomic relationships and chromosome evolution can be accumulated by comparative mapping and also the structural relationships between linkage map and physical map can be identified by cDNA sequencing. After constructing high density maps, it will be possible to clone genes, whose products are unknown, such as semidwarf and disease resistance genes. However, much attention has to be paid to level-up the basic knowledge of genetics, physiology, biochemistry, plant pathology, entomology, microbiology, and so on. It must also be kept in mind that scientists in various fields will have to make another take off by intensive cooperation together for early integration and utilization of these newly emerging high-techs in practical breeding. breeding.

  • PDF

Production and Characterization of Monoclonal Antibodies to Glutamate Dehydrogenase from Thermophile Sulfolobus solfataricus

  • Cho, Sung-Woo;Ahn, Jee-Yin;Bahn, Jae-Hoon;Jeon, Seong-Gyu;Park, Jin-Seu;Lee, Kil-Soo;Choi, Soo-Young
    • Journal of Microbiology and Biotechnology
    • /
    • v.10 no.5
    • /
    • pp.587-594
    • /
    • 2000
  • Monoclonal antibodies against glutamate dehydrogenase (GDH) from Sulfolobus solfataricus were produced and characterized using epitope mapping and biosensor technology, Five monoclonal antibodies raised against S. solfataricus GDH were each identified as a single protein band that comigrated with purified S. solfataricus GDH on the SDS-polyacrylamide gel electrophoresis and immunoblot. Epitope mapping analysis showed that only one subgroup among the antibodies tested recognized the same peptide fragments of GDH. Using the anti-S. solfataricus GDH antibodies as probes, the cross-reactivities of GDHs from various sources were investigated and it was found that the mammalian GDH is not immunologically related to S. solfataricus GDH. The structural differences between the microbial and mammalian GDHs were further investigated using biosensor technology (Pharmacia BIAcore) and monoclonal antibodies against S. solfataricus and bovine brain. The binding affinity of S. solfataricus glutamate dehydrogenase anti-S. solfataricus for GDH ($K_D$=11 nM) was much tighter than that of anti-bovine for GDH ($K_D$=450 nM). These results, together with the epitope mapping analysis, suggest that there may be structural differences between the two GDH species, in addition to their different biochemical properties.

  • PDF

Genetic Diversity Analysis of Proso millet (Panicum miliaceum) Germplasm Using EST-SSR Markers

  • Lee, Myung-Chul;Choi, Yu-Mi;Yun, Hyemyeong;Shin, Myoung-Jae;Lee, Sukyeung;Oh, Sejong
    • Proceedings of the Plant Resources Society of Korea Conference
    • /
    • 2019.10a
    • /
    • pp.43-43
    • /
    • 2019
  • The collection, evaluation and conservation of crop germplasm have been treated as one of the basics to breeding program. An understanding of genetic relationships among germplasm resources is vital for future breeding process like yield, quality, and resistance. In the present study, EST-SSR markers were employed to assess the polymorphism and genetic diversity of 192 accessions of Proso millet preserved in the National Agrobiodiversity Center of RDA. We evaluated the efficiency of EST-SSR markers developed for proso millet species. A total of 98 alleles were detected with an average allele number of 4.5 per locus among 192 proso millet millet accessions using 22 EST-SSR markers. The averaged values of gene diversity ($H_E$) and polymorphism information content (PIC) for each EST-SSR marker were 0.362 and 0.404 within populations, respectively. Our results showed the moderate level of the molecular diversity among the proso millet accessions from diverse countries. A phylogenetic tree revealed three major groups of accessions that did not correspond with geographical distribution patterns with a few exceptions. The less correlation between the clusters and their geographic location might be considered due to their type difference. Our study provided a better understanding of genetic relationships among various germplasm collections, and it could contribute to more efficient utilization of valuable genetic resources. The EST-SSR markers developed here will serve as a valuable resource for genetic studies, like linkage mapping, diversity analysis, quantitative trait locus/association mapping, and molecular breeding.

  • PDF

Knowledge-based learning for modeling concrete compressive strength using genetic programming

  • Tsai, Hsing-Chih;Liao, Min-Chih
    • Computers and Concrete
    • /
    • v.23 no.4
    • /
    • pp.255-265
    • /
    • 2019
  • The potential of using genetic programming to predict engineering data has caught the attention of researchers in recent years. The present paper utilized weighted genetic programming (WGP), a derivative model of genetic programming (GP), to model the compressive strength of concrete. The calculation results of Abrams' laws, which are used as the design codes for calculating the compressive strength of concrete, were treated as the inputs for the genetic programming model. Therefore, knowledge of the Abrams' laws, which is not a factor of influence on common data-based learning approaches, was considered to be a potential factor affecting genetic programming models. Significant outcomes of this work include: 1) the employed design codes positively affected the prediction accuracy of modeling the compressive strength of concrete; 2) a new equation was suggested to replace the design code for predicting concrete strength; and 3) common data-based learning approaches were evolved into knowledge-based learning approaches using historical data and design codes.

Genetic Mapping and Sequence Analysis of the Gene Encoding the Major Capsid Protein of Bacteriophage E3 (박테리오파지 E3의 Major Capsid Protein을 만드는 유전자의 Mapping 및 염기서열 분석)

  • Bae, Soo-Jin;Myung, Hee-Joon
    • Korean Journal of Microbiology
    • /
    • v.35 no.4
    • /
    • pp.266-269
    • /
    • 1999
  • Bacteriophage E3 grows very rapidly and forms a large size plaque with a diameter of 1 cm. The promoter controlling the expression of the gene encoding the major capsid protein is thought to be most efficient. To find out this promoter, this gene was mapped in the genome according to the following procedure. The major capsid protein was purified from phage particle and the N-terminal amino acid sequence was revealed. Based on this sequence,a degernerate oligonucleotide probe was designed and used for screening of the genomic DNA fragments. From the DNA sequence of the selected clone, the gene encoding the major capsid protein was mapped at 70% of E3 genome. The expression of this gene was not sensitive to rifampicin which indicated the presence of E3's own RNA polymerase.

  • PDF

Development of SSR markers for genetic mapping of Korean ginseng and authentication of Korean ginseng cultivars

  • Kim, Nam-Hoon;Choi, Hong-Il;Jung, Ju-Yeon;Choi, Beom-Soon;Ahn, In-Ok;Lee, Joon-Soo;Yang, Tae-Jin
    • Proceedings of the Plant Resources Society of Korea Conference
    • /
    • 2010.10a
    • /
    • pp.11-11
    • /
    • 2010
  • The Korean ginseng, Panax ginseng C. A. Meyer is a popular medicinal herb in Araliaceae. Genetic map in crops provides valuable information for breeding, genetic and genomic researches. However, little information is available for construction of genetic map in ginseng. Up to now, we have produced large amounts of expressed sequence tags (ESTs) from four ginseng cultivars (37Mb, 49Mb, 39Mb, 47Mb from Gopoong, Gumpoong, Chunpoong and Yunpoong respectively using pyrosequencing technique and 5Mb from normalized full-length cDNA library of Chunpoong) to obtain comprehensive information of gene expression, and constructed EST database including ESTs from public database. Till now, we designed 261 SSR primer sets using EST sequences and identified 106 intergenic polymorphic markers. And 44 of the 106 showed polymorphisms among panax ginseng cultivars. Among 44 markers, 27 SSR polymorphic markers were inspected to 51 $F_2$ population from Yunpoong x Chunpoong, which showed good at the fitness of Mendellian segregation ratio 1:2:1. To enrich the number of markers, and thus construct high resolution genetic map which can be used as frame map for further genome sequencing. we are planning to develop large scale EST-derived SNP markers which are available in the F2 population. This study provides genetic information as well as foundation for ginseng researches such as genetics, genomics, breeding, and the final goal for whole genome sequencing. This study was supported by Technology Development Program for Agriculture and Forestry, Ministry for Food, Agriculture, Forestry and Fisheries, Republic of Korea (Grant No. 609001-051SB210).

  • PDF