본문 바로가기
KERD
논문KCI 등재

RNA-seq Profiles of Immune Related Genes in the Spleen of Necrotic Enteritis-afflicted Chicken Lines

1

조회

0

다운로드

4

인용

0

참고문헌

키워드

초록

The study aimed to compare the necrotic enteritis (NE)-induced transcriptome differences between the spleens of Marek’s disease resistant chicken line 6.3 and susceptible line 7.2 co-infected with Eimeria maxima/Clostridium perfringens using RNA-Seq. Total RNA from the spleens of two chicken lines were used to make libraries, generating 42,736,296 and 42,617,720 usable reads, which were assembled into groups of 29,897 and 29,833 mRNA genes, respectively. The transcriptome changes were investigated using the differentially expressed genes (DEGs) package, which indicated 3,255, 2,468 and 2,234 DEGs of line 6.3, line 7.2, and comparison between two lines, respectively (fold change ≥2, p<0.01). The transcription levels of 14 genes identified were further examined using qRT-PCR. The results of qRT-PCR were consistent with the RNA-seq data. All of the DEGs were analysed using gene ontology terms, the Kyoto Encyclopedia of Genes and Genomes (KEGG) database and the DEGs in each term were found to be more highly expressed in line 6.3 than in line 7.2. RNA-seq analysis indicated 139 immune related genes, 44 CD molecular genes and 150 cytokines genes which were differentially expressed among chicken lines 6.3 and 7.2 (fold change ≥ 2, p<0.01). Novel mRNA analysis indicated 15,518 novel genes, for which the expression was shown to be higher in line 6.3 than in line 7.2 including some immunerelated targets. These findings will help to understand host-pathogen interaction in the spleen and elucidate the mechanism of host genetic control of NE, and provide basis for future studies that can lead to the development of marker-based selection of highly diseaseresistant chickens.

Abstract

The study aimed to compare the necrotic enteritis (NE)-induced transcriptome differences between the spleens of Marek’s disease resistant chicken line 6.3 and susceptible line 7.2 co-infected with Eimeria maxima/Clostridium perfringens using RNA-Seq. Total RNA from the spleens of two chicken lines were used to make libraries, generating 42,736,296 and 42,617,720 usable reads, which were assembled into groups of 29,897 and 29,833 mRNA genes, respectively. The transcriptome changes were investigated using the differentially expressed genes (DEGs) package, which indicated 3,255, 2,468 and 2,234 DEGs of line 6.3, line 7.2, and comparison between two lines, respectively (fold change ≥2, p<0.01). The transcription levels of 14 genes identified were further examined using qRT-PCR. The results of qRT-PCR were consistent with the RNA-seq data. All of the DEGs were analysed using gene ontology terms, the Kyoto Encyclopedia of Genes and Genomes (KEGG) database and the DEGs in each term were found to be more highly expressed in line 6.3 than in line 7.2. RNA-seq analysis indicated 139 immune related genes, 44 CD molecular genes and 150 cytokines genes which were differentially expressed among chicken lines 6.3 and 7.2 (fold change ≥ 2, p<0.01). Novel mRNA analysis indicated 15,518 novel genes, for which the expression was shown to be higher in line 6.3 than in line 7.2 including some immunerelated targets. These findings will help to understand host-pathogen interaction in the spleen and elucidate the mechanism of host genetic control of NE, and provide basis for future studies that can lead to the development of marker-based selection of highly diseaseresistant chickens.

참고문헌 (41)

  1. Briles, W. E., "Marek's disease : effects of B histocompatibility alloalleles in resistant and susceptible chicken lines", Science, 195, pp.193~195 (1977)
  2. Cloonan, N., "Stem cell transcriptome profiling via massive-scale mRNA sequencing", Nat. Methods, 5, pp.613~619 (2008)
  3. Commins, S., "The extended IL- 10 superfamily: IL-10, IL-19, IL-20, IL-22, IL-24, IL-26, IL- 28, and IL-29", J. Allergy Clin. Immunol, 121, pp.1108~1111 (2008)
  4. Fábryová, K., "Function of the cell surface molecules (CD molecules) in the reproduction processes", Gen. Physiol. Biophys, 28, pp.1~7 (2009)
  5. Gandrillon, O., "TGFbeta cooperates with TGF-alpha to induce the self-renewal of normal erythrocytic progenitors: evidence for an autocrine mechanism", EMBO J, 18, pp.2764~2781 (1999)
  6. González-Reyes, S., "Study of TLR3, TLR4 and TLR9 in breast carcinomas and their association with metastasis", BMC Cancer, 10, pp.665~ (2010)
  7. Guida, A., "Using RNA-seq to determine the transcriptional landscape and the hypoxic response of the pathogenic yeast Candida parapsilosis", BMC Genomics, 12, pp.628~ (2011)
  8. Haunshi, S., "Differential expression of Toll-like receptor pathway genes in chicken embryo fibroblasts from chickens resistant and susceptible to Marek's disease", Poult. Sci, 93, pp.550~555 (2014)
  9. Hemmerle, T., "The antibody-based targeted delivery of interleukin-4 and 12 to the tumor neovasculature eradicates tumors in three mouse models of cancer", Int. J. Cancer, 134, pp.467~477 (2014)
  10. Hong, Y. H., "Differential regulation of microRNA transcriptome in chicken lines resistant and susceptible to necrotic enteritis disease", Poult. Sci, 93, pp.1383~1395 (2014)
  11. Hong, Y. H., "Differential gene expression profiles of β-defensins in the crop, intestine, and spleen using a necrotic enteritis model in 2 commercial broiler chicken lines", Poult. Sci, 91, pp.1081~1088 (2012)
  12. Huang, Y., "The duck genome and transcriptome provide insight into an avian influenza virus reservoir species", Nat. Genet, 45, pp.776~783 (2013)
  13. Jang, S. I., "Vaccination with Clostridium perfringens recombinant proteins in combination with Montanide ISA 71 VG adjuvant increases protection against experimental necrotic enteritis in commercial broiler chickens", Vaccine, 30, pp.5401~5406 (2012)
  14. Johansson, M. W., "α(M)β(2) integrin-mediated adhesion and motility of IL-5-stimulated eosinophils on periostin", Am. J. Respir. Cell Mol. Biol, 48, pp.503~510 (2013)
  15. Kim, D. K., "Transcriptional profiles of host-pathogen responses to necrotic enteritis and differential regulation of immune genes in two inbreed chicken lines showing disparate disease susceptibility", PLoS One, 9, pp.e114960~ (2014)
  16. Lister, R., "Highly integrated single-base resolution maps of the epigenome in Arabidopsis", Cell, 133, pp.523~536 (2008)
  17. Liu, W. Q., "The different expression of immune-related cytokine genes in response to velogenic and lentogenic Newcastle disease viruses infection in chicken peripheral blood", Mol. Biol. Rep, 39, pp.3611~3618 (2012)
  18. Livak, K. J., "Analysis of relative gene expression data using real-time quantitative PCR and the 2(-Delta Delta C(T))Method", Methods, 25, pp.402~408 (2001)
  19. McReynolds, J. L., "Evaluation of immunosuppressants and dietary mechanisms in an experimental disease model for necrotic enteritis", Poult. Sci, 83, pp.1948~1952 (2004)
  20. Mortazavi, A., "Mapping and quantifying mammalian transcriptomes by RNA-Seq. Nat", Methods, 5, pp.621~628 (2008)
  21. Nagalakshmi, U., "The transcriptional landscape of the yeast genome defined by RNA sequencing", Science, 320, pp.1344~1349 (2008)
  22. Ozsolak, F., "RNA sequencing: advances, challenges and opportunities", Nat. Rev. Genet, 12, pp.87~98 (2011)
  23. Pan, Z., "Analysis of immune-related gene expression in chicken peripheral blood mononuclear cells following Salmonella enterica serovar Enteritidis infection in vitro", Res. Vet. Sci, 93, pp.716~720 (2012)
  24. Parish, W. E., "Necrotic enteritis in the fowl (Gallus gallus domesticus). I. Histopathology of the disease and isolation of a strain of Clostridium welchii", J. Comp. Pathol, 71, pp.377~393 (1961)
  25. Park, S. J., "Computational promoter modeling identifies the modes of transcriptional regulation in hematopoietic stem cells", PLoS One, 9, pp.e93853~ (2014)
  26. Ramasamy, K. T., "Toll-like receptors gene expression in the gastrointestinal tract of Salmonella serovar Pullorum-infected broiler chicken", Appl. Biochem. Biotechnol, 173, pp.356~364 (2014)
  27. Redmond, S. B., "Differential splenic cytokine responses to dietary immune modulation by diverse chicken lines", Poult. Sci, 89, pp.1635~1641 (2010)
  28. Sabat, R., "IL-10 family of cytokines", Cytokine Growth Factor Rev, 21, pp.315~324 (2010)
  29. Shi, Y., "Toll-like receptor-7 tolerizes malignant B cells and enhances killing by cytotoxic agents", Cancer Res, 67, pp.1823~1831 (2007)
  30. Simon, D. F., "Transcriptome sequencing (RNA-seq) analysis of the effects of metal nanoparticle exposure on the transcriptome of Chlamydomonas reinhardtii", Appl. Environ. Microbiol, 79, pp.4774~4785 (2013)
  31. Smith, J., "In-silico identification of chicken immune-related genes", Immunogenetics, 56, pp.122~133 (2004)
  32. Supek, F., "REVIGO summarizes and visualizes long lists of gene ontology terms", PLoS One, 6, pp.e21800~ (2011)
  33. Trapnell, C., "TopHat : discovering splice junctions with RNA-Seq", Bioinformatics, 25, pp.1105~1111 (2009)
  34. Trapnell, C., "Differential gene and transcript expression analysis of RNAseq experiments with TopHat and Cufflinks", Nat. Protoc, 7, pp.562~578 (2012)
  35. Van Moerkercke, A., "CathaCyc, a metabolic pathway database built from Catharanthus roseus RNA-Seq data", Plant Cell Physiol, 54, pp.673~685 (2013)
  36. Wolk, K., "Cutting edge: immune cells as sources and targets of the IL-10 family members?", J. Immunol, 168, pp.5397~5402 (2002)
  37. Wright, H. L., "RNA-seq reveals activation of both common and cytokine-specific pathways following neutrophil priming", PLoS One, 8, pp.e58598~ (2013)
  38. Yan, X. X., "Structural and functional analysis of the poreforming toxin NetB from Clostridium perfringens", MBio, 4, pp.e00019~ (2013)
  39. Zeng, L., "Gene regulation by CcpA and catabolite repression explored by RNA-Seq in Streptococcus mutans", PLoS One, 8, pp.e60465~ (2013)
  40. Zhao, C., "RNA-Seq analysis reveals new gene models and alternative splicing in the fungal pathogen Fusarium graminearum", BMC Genomics, 14, pp.21~ (2013)
  41. Zhou, H., "Transcriptional profiling analysis of host response to Clostridium perfringens infection in broilers", Poult. Sci, 88, pp.1023~1032 (2009)

관련 논문AI추천

Major histocompatibility complex genes exhibit a potential immunological role in mixed Eimeria-infected broiler cecum analyzed using RNA sequencing이준헌, Cho Eunjin, Chung Yoonji, Ediriweera Thisarani Kalhari, Kim Minjun, MACHARIA JOHN KARIUKI, Manjula Prabuddha, Nam Seonju, Yu Myunghwan아세아·태평양축산학회 · Animal Bioscience2024 · 제37권 제6호Distribution and differential expression of microRNAs in the intestinal mucosal layer of necrotic enteritis induced Fayoumi chickens홍영호, 데이벤드란렝가라즈, Anh Duc Truong, Hyun S. Lillehoj, Jihye Ban아세아·태평양축산학회 · Animal Bioscience2017 · 제30권 제7호Analysis of Gene Expression Responses to a Salmonella Infection in Rugao Chicken Intestine Using GeneChipsD.Q. Luan, G.B. Chang, G.H. Chen, W. Zhou, Y. Liu, Y. Zhang, Z.W. Sheng, Z.Z. Li아세아·태평양축산학회 · Animal Bioscience2012 · 제25권 제2호Identification of Gene Expression Signatures in the Chicken Intestinal Intraepithelial Lymphocytes in Response to Herb Additive Supplementations김덕경, Chong-Sam Na, Jong-Eun Park, Ki-Duk Song, Kyeong Hye Won아세아·태평양축산학회 · Animal Bioscience2016 · 제29권 제10호Expression of Chicken NK-Lysin and Its Role in Chicken Coccidiosis Induced by Eimeria necatrix김우현, 민원기, 박광일, Cammayo Paula Leona T., Fernandez-Colorado Cherry P., Flores Rochelle A., Lillehoj, Hyun S., Nguyen Binh Thanh대한기생충학ㆍ열대의학회 · Parasites, Hosts and Diseases2021 · 제59권 제5호Cytokine-cytokine receptor interactions in the highly pathogenic avian influenza H5N1 virus-infected lungs of genetically disparate Ri chicken lines부 티 하오, 송기덕, 홍영호, 츠엉앵득, Cha Jihye, Dang Hoang Vu, Hong Yeojin, Lee Jiae, Lee Sooyeon, Lillehoj,Hyun S., Tran Ha Thi Thanh아세아·태평양축산학회 · Animal Bioscience2022 · 제35권 제3호

이 간행물의 다른 논문 (10건)