• BMB Reports
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• v.39 no.3
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• pp.263-269
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• 2006

In the genome of Helicoverpa armigera single-nucleocapsid nucleopolyhedrovirus, open reading frame 39 (Ha39) is the only gene predicted to encode an RNA recognition protein. Computer analysis revealed that Ha39 homologues were found in 15 NPVs, but not in GVs. Its transcripts were detected from 3 through 72 hours post infection (h p.i.) using RT-PCR and Northern blot analysis. The protein was detected in infected-cell lysates from 6 h p.i. Western blot assay of ODV and BV preparations revealed that Ha39 encodes a structural protein associated with BVs. Additionally, immunofluorescence microscopy demonstrated that the protein was present within cytoplasm in virus-infected cells, but not in the nuclear region.

• Asian-Australasian Journal of Animal Sciences
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• v.31 no.6
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• pp.775-783
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• 2018

Objective: The purpose of this study was to investigate the genetic effects of six keratin (KRT) genes on the wool traits of 418 Chinese Merino (Xinjiang type) (CMXT) individuals. Methods: To explore the effects and association of six KRT genes on sheep wool traits, The polymerase chain reaction-based single-strand conformation polymorphism (PCR-SSCP), DNA sequencing, and the gene pyramiding effect methods were used. Results: We report 20 mutation sites (single-nucleotide polymorphisms) within the six KRT genes, in which twelve induced silent mutations; five induced missense mutations and resulted in $Ile{\rightarrow}Thr$, $Glu{\rightarrow}Asp$, $Gly{\rightarrow}Ala$, $Ala{\rightarrow}Ser$, $Se{\rightarrow}His$; two were nonsense mutations and one was a same-sense mutation. Association analysis showed that two genotypes of the KRT31 gene were significantly associated with fiber diameter (p<0.05); three genotypes of the KRT36 gene were significantly associated with wool fineness score and fiber diameter (p<0.05), three genotypes of the KRT38 gene were significantly associated with the number of crimps (p<0.05); and three genotypes of the KRT85 gene were significantly associated with wool crimps score, body size, and fiber diameter (p<0.05). Analysis of the gene pyramiding effect between the different genotypes of the gene loci KRT36, KRT38, and KRT85, each genotype in a gene locus was combined with all the genotypes of another two gene loci and formed the different three loci combinations, indicated a total of 26 types of possible combined genotypes in the analyzed population. Compared with the other combined genotypes, the combinations CC-GG-II, CC-HH-IJ, CC-HH-JJ, DD-HH-JJ, CC-GH-IJ, and CC-GH-JJ at gene loci KRT36, KRT38, and KRT85, respectively, had a greater effect on wool traits (p<0.05). Conclusion: Our results indicate that the mutation loci of KRT31, KRT36, KRT38, and KRT85 genes, as well as the combinations at gene loci KRT36, KRT38, and KRT85 in CMXT have significant effects on wool traits, suggesting that these genes are important candidate genes for wool traits, which will contribute to sheep breeding and provide a molecular basis for improved wool quality in sheep.

• Asian-Australasian Journal of Animal Sciences
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• v.15 no.9
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• pp.1237-1243
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• 2002

We have developed a reliable and noninvasive method for swine genotyping of single locus nuclear gene with aged single hair follicles delivered by general mail. The method is based on booster and nested PCR amplification with step-wise increase of primers and dNTPs concentrations followed by restriction endonuclease digestion. To establish this method, the ryanodine receptor (RYR 1) locus which is an economically important trait in swine industry was employed for genotyping experiment. The 3-step PCR amplication method is much less dependent on the quantity and quality of template DNA and produces enough amplification product for the detection on the ethidium bromide-stained gel such as RFLP analysis. A total of 120 pigs were subjected to the RYR 1 genotyping analysis using three-step PCR method which amplified enough quantity of PCR products from the aged single hair follicles for RFLP analysis and genotyping results were identical to the results of the corresponding ethanol-fixed skeletal muscle tissue. This approach will be a great help for porcine breeders and investigators in genotyping of swine. They can receive genotyping results later by simply plucking single hairs of their pigs at farm and sending them in general mail to the diagnostic laboratory which eliminates the inconveniences to collect ear tissue or blood cells from pigs, or the investigator's need for travel to farms in order to collect fresh hair samples.

• Asian-Australasian Journal of Animal Sciences
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• v.28 no.11
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• pp.1545-1550
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• 2015

c-MYC (v-myelocytomatosis viral oncogene homologue) is a transcription factor that plays important role in many biological process including cell growth and differentiation, such as myogenesis and adipogenesis. In this study, we aimed to detect MYC gene polymorphisms, their genotype frequencies and to determine associations between these polymorphisms and meat quality traits in Berkshire pigs. We identified a single nucleotide polymorphism (SNP) in intron 2 of MYC gene by Sanger sequencing, i.e., g.3350G>C (rs321898326), that is only found in Berkshire pigs, but not in other breeds including Duroc, Landrace, and Yorkshire pigs that were used in this study. Genotypes of total 378 Berkshire pigs (138 sows and 240 boars) were determined using Hha I restriction enzyme digestion after polymerase chain reaction. Observed allele frequencies of GG, GC, and CC genotypes were 0.399, 0.508, and 0.093 respectively. Statistical analysis indicated that the g.3350G>C polymorphism was significantly associated with $pH_{45min}$ and cooking loss (p<0.05), suggesting that g.3350G>C SNP can be used for pre-selection of $pH_{45min}$ and cooking loss traits in Berkshire pigs.

• The KIPS Transactions:PartB
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• v.18B no.2
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• pp.67-72
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• 2011

Single nucleotide polymorphisms (SNPs) are a very important tool for the study of human genome structure. Cluster analysis of the large amount of gene expression data is useful for identifying biologically relevant groups of genes and for generating networks of gene-gene interactions. In this paper we compared the clusters of SNPs within asthma group and normal control group obtained by using hierarchical cluster analysis method with entropy distance. It appears that the 5-cluster collections of the two groups are significantly different. We searched the best set of SNPs that are useful for diagnosing the two types of asthma using representative SNPs of the clusters of the asthma group. Here support vector machines are used to evaluate the prediction accuracy of the selected combinations. The best combination model turns out to be the five-locus SNPs including one on the gene ALOX12 and their accuracy in predicting aspirin tolerant asthma disease risk among asthmatic patients is 66.41%.

• Genomics & Informatics
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• v.10 no.4
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• pp.256-262
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• 2012

Most common complex traits, such as obesity, hypertension, diabetes, and cancers, are known to be associated with multiple genes, environmental factors, and their epistasis. Recently, the development of advanced genotyping technologies has allowed us to perform genome-wide association studies (GWASs). For detecting the effects of multiple genes on complex traits, many approaches have been proposed for GWASs. Multifactor dimensionality reduction (MDR) is one of the powerful and efficient methods for detecting high-order gene-gene ($G{\times}G$) interactions. However, the biological interpretation of $G{\times}G$ interactions identified by MDR analysis is not easy. In order to aid the interpretation of MDR results, we propose a network graph analysis to elucidate the meaning of identified $G{\times}G$ interactions. The proposed network graph analysis consists of three steps. The first step is for performing $G{\times}G$ interaction analysis using MDR analysis. The second step is to draw the network graph using the MDR result. The third step is to provide biological evidence of the identified $G{\times}G$ interaction using external biological databases. The proposed method was applied to Korean Association Resource (KARE) data, containing 8838 individuals with 327,632 single-nucleotide polymorphisms, in order to perform $G{\times}G$ interaction analysis of body mass index (BMI). Our network graph analysis successfully showed that many identified $G{\times}G$ interactions have known biological evidence related to BMI. We expect that our network graph analysis will be helpful to interpret the biological meaning of $G{\times}G$ interactions.

• International Journal of Industrial Entomology and Biomaterials
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• v.3 no.1
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• pp.57-62
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• 2001

A cDNA encoding the defensin homologue of a novel family member was isolated from the cDNA library of the firefly,Pyrocoelia rufa. Sequence analysis of the cDNA encoding the defensin homologue of P. rufa resulted that the 165 bp cDHA has an open reading frame of 55 amino acid residues. The deduced amino acid sequences of the defensin homologue gene from P. rufa showed identity to known mammalian defensins. Also 6 cystein residues in the P. rufa defensin homologue gene were conserved in the same position as those of known mammalian defensins. The result suggested that P. rufa defensin homologue is a novel member of the insect defensin family. Southern blot analysis suggests that there may be a single copy number of the P.rufa defensin homologue gene and their fat body-specific expression pattern at the transcriptional level was confirmed by Northern blot analysis.

• Journal of Microbiology and Biotechnology
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• v.16 no.12
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• pp.1912-1918
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• 2006

Marine bacterium Hahella chejuensis KCTC 2396 simultaneously produced red antibiotic prodigiosin and undecylprodiginine. A complete set of the prodigiosin biosynthetic gene cluster has been cloned, sequenced, and successfully expressed in a heterologous host. Sequence analysis of the gene cluster revealed 14 ORFs showing high similarity to pig and red genes from Serratia spp. and Streptomyces coelicolor A3(2), respectively, and the gene organization was almost: similar to that of pig genes. These genes were named hap for Hahella prodigiosin, and determined to be transcribed as a single operon, by RT-PCR experiment. Based on the hap gene mutagenesis experiments and comparative analysis with pig and red genes, we propose a prodigiosin-biosynthetic pathway in KCTC 2396.

• Research in Plant Disease
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• v.10 no.1
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• pp.73-77
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• 2004

The gene analysis of resistance in rice cultivars, Daeanbyeo, Hwasunchalbyeo, Daejinbyeo, Naepungbyeo, Hwajinbyeo and Surabyeo to strains of Xanthomonas oryzae pv. oryzae was studied. F$_1$ plants and F$_2$ populations from the crosses between six cultivars and near isogenic lines carrying the single bacterial blight(BB) resistance gene were analyzed using Korean and Japanese BB races. Daeanbyeo, Hwasunchalbyeo, Daejinbyeo, Naepungbyeo, Hwajinbyeo and Surabyeo are alleic with IRBB101 but are non-alleic with IRBB104 and IRBB105. The allelic tests indicated that Daeanbyeo, Hwasunchalbyeo, Daejinbyeo, Naepungbyeo, Hwajinbyeo and Surabyeo have the Xal gene for resistance.

• Asian Pacific Journal of Cancer Prevention
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• v.15 no.15
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• pp.6211-6217
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• 2014

Previous genome-wide association studies (GWAS) have implicated several single nucleotide polymorphisms (SNPs) in the AT-rich interactive domain 5B (ARID5B) gene with childhood acute lymphoblastic leukemia (ALL). However, replicated studies reported some inconsistent results in different populations. Using meta-analysis, we here aimed to clarify the nature of the genetic risks contributed by the two polymorphisms (rs10994982, rs7089424) for developing childhood ALL. Through searches of PubMed, EMBASE, and manually searching relevant references, a total of 14 articles with 16 independent studies were included. Odds ratios (ORs) with 95% confidence intervals (95%CI) were calculated to assess the associations. Both SNPs rs10994982 and rs7089424 showed significant associations with childhood ALL risk in all genetic models after Bonferroni correction. Furthermore, subtype analyses of B-lineage ALL provided strong evidence that SNP rs10994982 is highly associated with the risk of developing B-hyperdiploid ALL. These results indicate that SNPs rs10994982 and rs7089424 are indeed significantly associated with increased risk of childhood ALL.