• Title/Summary/Keyword: Candidate gene analysis

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Identification of a Bromodomain-containing Protein 2 (BRD2) Gene Polymorphic Variant and Its Effects on Pork Quality Traits in Berkshire Pigs

  • Lee, Dong Ju;Hwang, Jung Hye;Ha, Jeongim;Yu, Go Eun;Kwon, Seulgi;Park, Da Hye;Kang, Deok Gyeong;Kim, Tae Wan;Park, Hwa Chun;An, Sang Mi;Kim, Chul Wook
    • Food Science of Animal Resources
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    • v.38 no.4
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    • pp.703-710
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    • 2018
  • Bromodomain-containing protein 2 (BRD2) is a nuclear serine/threonine kinase involved in transcriptional regulation. We investigated the expression and association of the BRD2 gene as a candidate gene for meat quality traits in Berkshire pigs. BRD2 mRNA was expressed at relatively high levels in muscle tissue. Statistical analysis revealed that the c.1709G>C polymorphism of the BRD2 gene was significantly associated with carcass weight, meat color ($a^*$, redness), protein content, cooking loss, water-holding capacity, carcass temperatures 4, 12 and 24 h postmortem, and the 24 h postmortem pH in 384 Berkshire pigs. Therefore, this polymorphism in the porcine BRD2 gene may be used as a candidate genetic marker to improve meat quality traits in pigs.

A synonymous mutation of uncoupling protein 2 (UCP2) gene is associated with growth performance, carcass characteristics and meat quality in rabbits

  • Liu, Wen-Chao;Lai, Song-Jia
    • Journal of Animal Science and Technology
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    • v.58 no.1
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    • pp.3.1-3.6
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    • 2016
  • Background: Uncoupling proteins 2 (UCP2) plays an important role in energy regulation, previous studies suggested that UCP2 is an excellent candidate gene for human obesity and growth-related traits in cattle and chicks. The current study was designed to detect the genetic variation of UCP2 gene, and to explore the association between polymorphism of UCP2 gene and growth, carcass and meat quality traits in rabbits. Results: A synonymous mutation in exon 1 and four variants in the first intron of the UCP2 gene were identified by using PCR-sequencing. The synonymous mutation c.72G>A was subsequently genotyped by MassArray system (Sequenom iPLEXassay) in 248 samples from three meat rabbit breeds (94 Ira rabbits, 83 Champagne rabbits, and 71 Tianfu black rabbits). Association analysis suggested that the individuals with AA and AG genotypes showed greater 70 d body weight (P < 0.05), 84 d body weight (P < 0.01), ADG from 28 to 84 days of age (P < 0.05), eviscerated weight (P < 0.01), semi-eviscerated weight (P < 0.01) and semi-eviscerated slaughter percentage (P < 0.05), respectively. Additionally, the individuals with AA and AG genotype had a lower pH value of longissimus muscle (P < 0.01) and hind leg muscle (P < 0.05) after slaughter 24 h. Conclusions: These findings indicated that UCP2 could be a candidate gene that associated with growth performance, body composition and meat quality in rabbits, and this would contribute to advancements in meat rabbit breeding practice.

A Method of Identifying Disease-related Significant Pathways Using Time-Series Microarray Data (시간열 마이크로어레이 데이터를 이용한 질병 관련 유의한 패스웨이 유전자 집합의 검출)

  • Kim, Jae-Young;Shin, Mi-Young
    • Journal of the Institute of Electronics Engineers of Korea CI
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    • v.47 no.5
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    • pp.17-24
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    • 2010
  • Recently the study of identifying bio-markers for disease diagnosis and prognosis has been actively performed. In particular, lots of attentions have been paid to the finding of pathway gene-sets differentially expressed in disease patients rather than the finding of individual gene markers. In this paper we propose a novel method to identify disease-related pathway gene-sets based on time-series microarray data. For this purpose, we firstly compute individual gene scores by the using maSigPro (microarray Significant Profiles) and then arrange all the genes in the decreasing order of the corresponding gene scores. The rank of each gene in the entire list is used to evaluate the statistical significance of candidate gene-sets with Wilcoxson rank sum test. For the generation of candidate gene-sets, MSigDB (Molecular Signatures Database) pathway information has been employed. The experiment was conducted with prostate cancer time-series microarray data and the results showed the usefulness of the proposed method by correctly identifying 6 out of 7 biological pathways already known as being actually related to prostate cancer.

Analysis of the relationship between the end weight trait and the gene ADGRL2 in purebred landrace pigs using a Genome-wide association study

  • Kang, Ho-Chan;Kim, Hee-Sung;Lee, Jae-Bong;Yoo, Chae-Kung;Choi, Tae-Jeong;Lim, Hyun-Tae
    • Korean Journal of Agricultural Science
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    • v.45 no.2
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    • pp.238-247
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    • 2018
  • The overall consumption of meat is increasing as the level of national income increases. The end weight is a trait closely associated with dressed meat. Genome-wide association study (GWAS) is an effective method of analyzing genetic variation and gene identification associated with a number of natural alternative traits because it can detect variations. So this paper did a GWAS analysis to identity the location on the genome related to the end weight in purebred landrace pigs and to explore the relevant candidate gene. This study identified a significant single nucleotide poly morphism (SNP) marker in chromosome 6 (ASGA0029422, $p=1.22{\times}10^{-6}$). Adhesion G protein-coupled receptor L2 (ADGRL2) was found to be the candidate gene at the identified SNP marker location. ADGRL2 genes have been found to be associated with cell development in relation to the external and internal environment of a cell. In addition, genotype and statistical analyses were done on nine variations on the exon of ADGRL2. The results show that the SNP marker (ASGA0029422, $p=1.32{\times}10^{-6}$) was significant, but the significance of the nine variations on the ADGRL2 exon was not verified. However, by performing further experiments and functional studies on other SNPs showing possible genetic ADGRL-Exon mutations, objects with high associations of high-end weights can be selected.

Evaluation and interpretation of transcriptome data underlying heterogeneous chronic obstructive pulmonary disease

  • Ham, Seokjin;Oh, Yeon-Mok;Roh, Tae-Young
    • Genomics & Informatics
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    • v.17 no.1
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    • pp.2.1-2.12
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    • 2019
  • Chronic obstructive pulmonary disease (COPD) is a type of progressive lung disease, featured by airflow obstruction. Recently, a comprehensive analysis of the transcriptome in lung tissue of COPD patients was performed, but the heterogeneity of the sample was not seriously considered in characterizing the mechanistic dysregulation of COPD. Here, we established a new transcriptome analysis pipeline using a deconvolution process to reduce the heterogeneity and clearly identified that these transcriptome data originated from the mild or moderate stage of COPD patients. Differentially expressed or co-expressed genes in the protein interaction subnetworks were linked with mitochondrial dysfunction and the immune response, as expected. Computational protein localization prediction revealed that 19 proteins showing changes in subcellular localization were mostly related to mitochondria, suggesting that mislocalization of mitochondria-targeting proteins plays an important role in COPD pathology. Our extensive evaluation of COPD transcriptome data could provide guidelines for analyzing heterogeneous gene expression profiles and classifying potential candidate genes that are responsible for the pathogenesis of COPD.

Understanding the genetics of systemic lupus erythematosus using Bayesian statistics and gene network analysis

  • Nam, Seoung Wan;Lee, Kwang Seob;Yang, Jae Won;Ko, Younhee;Eisenhut, Michael;Lee, Keum Hwa;Shin, Jae Il;Kronbichler, Andreas
    • Clinical and Experimental Pediatrics
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    • v.64 no.5
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    • pp.208-222
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    • 2021
  • The publication of genetic epidemiology meta-analyses has increased rapidly, but it has been suggested that many of the statistically significant results are false positive. In addition, most such meta-analyses have been redundant, duplicate, and erroneous, leading to research waste. In addition, since most claimed candidate gene associations were false-positives, correctly interpreting the published results is important. In this review, we emphasize the importance of interpreting the results of genetic epidemiology meta-analyses using Bayesian statistics and gene network analysis, which could be applied in other diseases.

Analysis of gene expression during odontogenic differentiation of cultured human dental pulp cells

  • Seo, Min-Seock;Hwang, Kyung-Gyun;Kim, Hyong-Bum;Baek, Seung-Ho
    • Restorative Dentistry and Endodontics
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    • v.37 no.3
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    • pp.142-148
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    • 2012
  • Objectives: We analyzed gene-expression profiles after 14 day odontogenic induction of human dental pulp cells (DPCs) using a DNA microarray and sought candidate genes possibly associated with mineralization. Materials and Methods: Induced human dental pulp cells were obtained by culturing DPCs in odontogenic induction medium (OM) for 14 day. Cells exposed to normal culture medium were used as controls. Total RNA was extracted from cells and analyzed by microarray analysis and the key results were confirmed selectively by reverse-transcriptase polymerase chain reaction (RT-PCR). We also performed a gene set enrichment analysis (GSEA) of the microarray data. Results: Six hundred and five genes among the 47,320 probes on the BeadChip differed by a factor of more than two-fold in the induced cells. Of these, 217 genes were upregulated, and 388 were down-regulated. GSEA revealed that in the induced cells, genes implicated in Apoptosis and Signaling by wingless MMTV integration (Wnt) were significantly upregulated. Conclusions: Genes implicated in Apoptosis and Signaling by Wnt are highly connected to the differentiation of dental pulp cells into odontoblast.

Molecular cloning and expression analysis of annexin A2 gene in sika deer antler tip

  • Xia, Yanling;Qu, Haomiao;Lu, Binshan;Zhang, Qiang;Li, Heping
    • Asian-Australasian Journal of Animal Sciences
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    • v.31 no.4
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    • pp.467-472
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    • 2018
  • Objective: Molecular cloning and bioinformatics analysis of annexin A2 (ANXA2) gene in sika deer antler tip were conducted. The role of ANXA2 gene in the growth and development of the antler were analyzed initially. Methods: The reverse transcriptase polymerase chain reaction (RT-PCR) was used to clone the cDNA sequence of the ANXA2 gene from antler tip of sika deer (Cervus Nippon hortulorum) and the bioinformatics methods were applied to analyze the amino acid sequence of Anxa2 protein. The mRNA expression levels of the ANXA2 gene in different growth stages were examined by real time reverse transcriptase polymerase chain reaction (real time RT-PCR). Results: The nucleotide sequence analysis revealed an open reading frame of 1,020 bp encoding 339 amino acids long protein of calculated molecular weight 38.6 kDa and isoelectric point 6.09. Homologous sequence alignment and phylogenetic analysis indicated that the Anxa2 mature protein of sika deer had the closest genetic distance with Cervus elaphus and Bos mutus. Real time RT-PCR results showed that the gene had differential expression levels in different growth stages, and the expression level of the ANXA2 gene was the highest at metaphase (rapid growing period). Conclusion: ANXA2 gene may promote the cell proliferation, and the finding suggested Anxa2 as an important candidate for regulating the growth and development of deer antler.

Detection of 881A→881G Mutation in Tyrosinase Gene and Associations with the Black Ear Coat Color in Rabbits

  • Jiang, Y.L.;Fan, X.Z.;Lu, Z.X.;Tang, H.;Xu, J.-Q.;Du, L.-X.
    • Asian-Australasian Journal of Animal Sciences
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    • v.15 no.10
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    • pp.1395-1397
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    • 2002
  • The tyrosinase gene was selected as a candidate for uncovering genetic mechanism causing 'black ear' coat color in rabbits. A PCR-SSCP detection method was established for the $881^A{\rightarrow}881^G$ mutation located in the central region of the tyrosinase gene between the CuA and CuB binding region signatures, and this was confirmed by sequencing and alignment. Fully consistent associations between the SNP and 'black ear' coat color were observed by analysis in a "black ear" pedigree and on 61 unrelated individuals. This SNP can serve as a molecular marker for use in "back ear" wool rabbit breeding.

A Candidate Single Nucleotide Polymorphism in the 3' Untranslated Region of Stearoyl-CoA Desaturase Gene for Fatness Quality and the Gene Expression in Berkshire Pigs

  • Lim, Kyu-Sang;Kim, Jun-Mo;Lee, Eun-A;Choe, Jee-Hwan;Hong, Ki-Chang
    • Asian-Australasian Journal of Animal Sciences
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    • v.28 no.2
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    • pp.151-157
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    • 2015
  • Fatness qualities in pigs measured by the amount of fat deposition and composition of fatty acids (FAs) in pork have considerable effect on current breeding goals. The stearoyl-CoA desaturase (SCD) gene plays a crucial role in the conversion of saturated FAs into monounsaturated FAs (MUFAs), and hence, is among the candidate genes responsible for pig fatness traits. Here, we identified a single nucleotide polymorphism (SNP, $c.^*2041T$ >C) in the 3' untranslated region by direct sequencing focused on coding and regulatory regions of porcine SCD. According to the association analysis using a hundred of Berkshire pigs, the SNP was significantly associated with FA composition (MUFAs and polyunsaturated FAs [PUFAs]), polyunsaturated to saturated (P:S) FA ratio, n-6:n-3 FA ratio, and extent of fat deposition such as intramuscular fat and marbling (p<0.05). In addition, the SNP showed a significant effect on the SCD mRNA expression levels (p = 0.041). Based on our results, we suggest that the SCD $c.^*2041T$ >C SNP plays a role in the gene regulation and affects the fatness qualities in Berkshire pigs.