بررسی بیان ژن و شبکه های ژنی مرتبط با آپوپتوزیس در مرغان حساس و مقاوم به آسیت والدین جوجه گوشتی آرین با استفاده از RNA-seq

نوع مقاله : مقاله پژوهشی

نویسندگان

1 دانشجوی دوره دکتری تخصصی، گروه علوم دامی، دانشکده کشاورزی، دانشگاه فردوسی مشهد

2 استاد، گروه علوم دامی، دانشکده کشاورزی، دانشگاه فردوسی مشهد

3 استادیار، گروه علوم دامی، دانشکده کشاورزی، دانشگاه فردوسی مشهد

4 استادیار، گروه علوم دامی، دانشکده کشاورزی، موسسه آموزش و تحقیقات تربت جام

5 دانشیار، گروه بیومدیکال مولکولی، دانشگاه آدلاید استرالیا

چکیده

برنامه‌های به­گزینی روی لاین آرین، بدون توجه به توسعه اندام‌های حیاتی بدن، از جمله قلب سبب شده که این لاین به یکی از لاین‌های بسیار حساس نسبت به سندروم آسیت شناخته شود. از این­رو، این مطالعه با هدف شناسایی ژن‌ها و شبکه‌های ژنی درگیر با آپوپتوزیس قلبی در سلول‌های بافت قلب مرغان حساس و مقاوم به آسیت لاین آرین انجام شد. بدین منظور، دو نمونه حساس و دو نمونه مقاوم استخراج RNA و اطلاعات ترانسکریپتومی آنها با استفاده از توالی‌یابی نسل جدید RNA-Seq بدست آمد. تعیین کیفیت داده و حذف آلودگی آن با استفاده از نرم­افزارهای FastQC و Trimmomatic صورت گرفت. همچنین تفریق بیان ژن با استفاده از نرم‌افزارهای Cuffmerge، Cufflink و Cuffdiff امکان­پذیر شد. 20034 ژن در مجموع نمونه‌ها مشاهده شدند که بعد از جداسازی ژن­های با میزان بیان معنی­دار نمونه­های مقاوم نسبت به حساس، در مجموع 291 ژن با 66 مسیر زیستی مرتبط دانسته شدند، که در این میان، 53 ژن در مسیر زیستی آپوپتوزیس ارتباط معنی­دار داشتند. بررسی فرآیندهای زیستی هستی­شناسی ژن‌های معنی­دار در نمونه­های مقاوم به آسیت برای مسیر زیستی آپوپتوزیس نشان دادند که مسیرهای تنظیم فرآیند سلولی و تنظیم منفی آپوپتوزیس به طور معنی­داری تحت تاثیر آسیت قرار دارند (01/0>FDR). شبکه ژنی ترسیم شده نشان داد که ژن­های MEF2A، FGF10، CDK1 و MAD2L1 دارای بیشترین ارتباط ژنی در شبکه ژنی هستند. بنابراین اصلاح نژاد مبتنی بر این ژن­ها و طراحی دارو ممکن است در کنترل آپوپتوزیس ناشی از سندروم آسیت موثر باشد.

کلیدواژه‌ها

موضوعات


عنوان مقاله [English]

Investigation of gene expression and gene networks related to apoptosis in sensitive and resistant Aryan broiler breeders with RNA-Seq

نویسندگان [English]

  • S. Sahraei 1
  • M. R. Nassiri 2
  • A. Javadmanesh 3
  • R. Tohidi 4
  • E. Ebrahimie 5
1 Ph.D Student, Department of Animal Science, Faculty of Agriculture, Ferdowsi University of Mashhad, Mashhad, Iran
2 Professor, Department of Animal Science, Faculty of Agriculture, Ferdowsi University of Mashhad, Mashhad, Iran
3 Assistant Professor, Department of Animal Science, Faculty of Agriculture, Ferdowsi University of Mashhad, Mashhad, Iran
4 Assistant Professor, Department of Animal Science, Faculty of Agriculture, Torbat-e-Jam University, Torbat-e-Jam, Iran
5 Associate Professor, School of Molecular and Biomedical Science, The University of Adelaide, Australia
چکیده [English]

The designing of animal breeding program on Aryan broiler chicks without development of vital organs such as the heart, has made the chicken most susceptible for ascites syndrome. The cell apoptosis is common in ascites syndrome. Therefore, this study was done with the aim of identification of genes and genetic networks that involved in cardiac cell apoptosis among normal Aryan chickens and Aryan chickens resistant to ascites. For this purpose, two ascites and two normal samples of Aryan chicken were RNA extracted and transcriptome data were produced by the Next Generation Sequencing. The data quality and elimination of pollution were performed with FastQC and Trimmomatic softwares. In addition, the gene expression analyses were investigated using Cuffmerge, Cufflink and Cuffdiff. The results showed that there were 20034 genes in samples that 291 genes were associated with 66 biological pathways. Among this, 53 genes were associated with apoptosis pathways. Investigation of the biological process of gene ontology showed that regulation of cellular process and negative regulation of apoptosis pathways were significantly affected by chickens resistant to ascites syndrome (FDR <0.01). The gene network was extracted by 48 nodes in two clusters. The results of genes’ networking showed that MEF2A, FGF10, CDK1 and MAD2L1 genes had maximum gene association. Therefore, the ascites syndrome in Aryan chickens can be controlled focusing on these genes for breeding programs and drug designing.

کلیدواژه‌ها [English]

  • Apoptosis
  • Gene Expression
  • Ascites Syndrome
  • Aryan chicken
  • RNA-Seq
Adachi S., Ito H. and Tamamori-Adachi M. 2001. Cyclin A/cdk2 activation is involved in hypoxia-induced apoptosis in cardiomyocytes. Circulation Research, 88(4): 408-414.
Ahuja P., Sdek P. and MacLellan W. R. 2007. Cardiac myocyte cell cycle control in development, disease, and regeneration. Physiological Reviews, 87(2): 521-544.
Alinaghizadeh H., Mohammad Abadi M. R. and Zakizadeh S. 2010. Exon 2 of BMP15 gene polymorphismin Jabal Barez Red Goat. Journal of Agricultural Biotechnology, 2(1): 69-80.
Andrews S. 2010. FastQC: a quality control tool for high throughput sequence data. Available online at:http://www.bioinformatics.babraham.ac.uk/projects/fastqc.
Azizian M., Rahimi S., Kamali M. A., Karimi Torshizi M. A. and Zobdeh M. R. 2013. Comparison of the susceptibility of six male broiler hybrids to ascites by using hematological and pathological parameters. Journal of Agricultural Science and Technology, 15: 517-525.
Berezin A. E., Kremzer A. A., Martovitskaya Y. V., Samura T. A. and Berezina T. A. 2015. The predictive role of circulating microparticles in patients with chronic heart failure. BBA Clinical, 3: 18-24.
Bernecker O. Y., Huq F., Heist E. K., Podesser B. K. and Hajjar R. J. 2003. Apoptosis in heart failure and the senescent heart. Cardiovascular Toxically, 3: 183-190.
Bolger A. M., Lohse M. and Usadel B. 2014. Trimmomatic: A flexible trimmer for Illumina Sequence Data. Bioinformatics, 21: 11-17.
Chester N., Kuo F., Kozak C., O’Hara C. D. and Leder P. 1998. Stage-specific apoptosis, developmental delay, and embryonic lethality in mice homozygous for a targeted disruption in the murine Bloom’s syndrome gene. Genes and Development, 12(21): 3382-3393.
Desjardins C. A. and Naya F. J. 2016. The Function of the MEF2 Family of Transcription Factors in Cardiac Development, Cardiogenomics, and Direct Reprogramming. Journal of Cardiovascular Development and Disease, 3(3): 26.
Freedman J. E., Ting B., Hankin B., Loscalzo J., Keaney J. F., Vita J.A. 1998. Impaired platelet production of nitric oxide predicts presence of acute coronary syndromes. Circulation, 98: 1481-1486.
Huang D. W., Sherman B. T. and Lempicki R. A. 2009. Bioinformatics enrichment tools: paths toward the comprehensive functional analysis of large gene lists. Nucleic Acids Research, 37(1): 1-13.
Huang D. W., Sherman B. T. and Lempicki R. A. 2009. Systematic and integrative analysis of large gene lists using DAVID Bioinformatics Resources. Nature Protocols, 4(1): 44-57.
Jacobson M. D., Weil M. and Raff M. C. 1997. Programmed cell death in animal development. Cell, 88: 347-354.
Javanmard A., Mohammadabadi M. R., Zarrigabayi G. E., Gharahedaghi A. A., Nassiry M. R., Javadmansh A. and Asadzadeh N. 2008. Polymorphism within the intron region of the bovine leptin gene in Iranian Sarabi cattle (Iranian Bos taurus). Russian Journal of Genetics, 44(4), 495-497.
Kang P. M. and Izumo S. 2000. Apoptosis and heart failure: a critical review of the literature. Circulation Research, 86: 1107-1113.
Konstantinidis K., Whelan R. S. and Kitsis R. N. 2012. Mechanisms of cell death in heart disease. Arteriosclerosis, Thrombosis, and Vascular Biology, 32(7): 1552-1562.
Kumar D., Sudha T. and Singal P. K. 2003. Can apoptosis explain heart failure? Kuwait Medical Journal, 35: 86-90.
Laytragoon-Lewin N. 1997. Programmed cell death: the influence of CD40, CD95 (Fas or Apo-I) and their ligands. Medical Oncology, 15 (1): 15-19.
Lepilina A., Coon A. N., Kikuchi K., Holdway J. E., Roberts R. W., Burns C. G. and Poss K. D. 2006. A dynamic epicardial injury response supports progenitor cell activity during zebrafish heart regeneration. Cell, 127: 607-619.
McKinsey T. A., Zhang C. L. and Olson E. N. 2002. MEF2: A calcium-dependent regulator of cell division, differentiation and death. Trends in Biochemical Sciences, 27: 40-47.
Mitra A., Basak T., Datta K., Naskar S., Sengupta S. and Sarkar S. 2013. Role of α-crystallin B as a regulatory switch in modulating cardiomyocyte apoptosis by mitochondria or endoplasmic reticulum during cardiac hypertrophy and myocardial infarction. Cell Death Disease, 4: 582-590.
Moazeni S., Mohammadabadi M. R., Sadeghi M., Shahrbabak H., Koshkoieh A. and Bordbar F. 2016a. Association between UCP gene polymorphisms and growth, breeding value of growth and reproductive traits in Mazandaran indigenous chicken. Open Journal of Animal Sciences, 6(1): 1-8.
Moazeni S. M., Mohammadabadi M. R., Sadeghi M., Moradi Shahrbabak H. and Esmailizadeh A. K. 2016b. Association of the melanocortin-3(MC3R) receptor gene with growth and reproductive traits in Mazandaran indigenous chicken. Journal of Livestock Science and Technologies, 4(2): 51-56.
Mohammadabadi M. R., Nikbakhti M., Mirzaee H. R., Shandi A, Saghi D. A., Romanov M. N. and Moiseyeva I. G. 2010. Genetic variability in three native Iranian chicken populations of the Khorasan province based on microsatellite markers. Russian Journal of Genetics, 46(4): 505-509.
Mohammadi A., Nassiry M. R., Mosafer J., Mohammadabadi M. R. and Sulimova G. E. 2009. Distribution of BoLA-DRB3 allelic frequencies and identification of a new allele in the Iranian cattle breed Sistani (Bos indicus). Russian journal of genetics, 45(2): 198-202.
Mohammadifar A. and Mohammadabadi M. R. 2011. Application of microsatellite markers for a study of Kermani sheep genome. Iranian Journal of Animal Science, 42(4): 337-344.
Morrison L. E., Whittaker R. J., Klepper R. E., Wawrousek E. F. and Glembotski C. C. 2004. Roles for alphaB-crystallin and HSPB2 in protecting the myocardium from ischemia-reperfusion-induced damage in a KO mouse model. American Journal of Physiology-Heart and Circulatory Physiology, 286: 847-855.
Mortazavi A., Williams B., McCue K., Schaeffer L. and Wold B. 2008. Mapping and quantifying mammalian transcriptomes by RNA-Seq. Nature Methods, 5: 621-628.
Mousavizadeh A., Mohammad Abadi M. R., Torabi A., Nassiry M. R., Ghiasi H. and Esmailizadeh A. K. 2009. Genetic polymorphism at the growth hormone locus in Iranian Talli goats by polymerase chain reaction-single strand conformation polymorphism (PCR-SSCP). Iranian Journal of Biotechnology, 7(1): 51-53.
Olivetti G., Quaini F. and Sala R. 1996. Acute myocardial infarction in humans is associated with activation of programmed myocyte cell death in the surviving portion of the heart. Journal of Molecular and Cellular Cardiology, 28: 2005-2016.
Olson E. N. 1998. Transcriptional control of muscle development by myocyte enhancer factor-2 (MEF2) proteins. Annual Review of Cell and Developmental Biology, 14: 167-196.
Olson E. N. 2006. Gene regulatory networks in the evolution and development of the heart. Science, 313: 1922-1927.
Potthoff M. J. and Olson E. N. 2007. MEF2: A central regulator of diverse developmental programs. Development, 134: 4131-4140.
Rezvani M., Barrans J. D., Dai K. S. and Liew C. C. 2000. Apoptosis-related genes expressed in cardiovascular development and disease: an EST approach. Cardiovascular Research, 45(3): 621-9.
Shahdadnejad N., Mohammadabadi M. R. and Shamsadini M. 2016. Typing of Clostridium perfringens isolated from broiler chickens using Multiplex PCR. Genetics in the 3rd Millennium, 14(4): 4368-4374.
Shojaei M., Mohammad Abadi M. R., Asadi Fozi M., Dayani O., Khezri A. and Akhondi M. 2010. Association of growth trait and Leptin gene polymorphism in Kermani sheep. Journal of Cell and Molecular Research, 2: 67-73
The STRING database. 2017. Quality-controlled protein-protein association networks, made broadly accessible. Nucleic Acids Research, 45: D362-68.
Trapnell C., Pachter L. and Salzberg S. L. 2009. TopHat: discovering splice junctions with RNA-seq. Bioinformatics, 25: 1105-1111.
Vega-Hernández M., Kovacs A., De Langhe S. and Ornitz D. M. 2011. FGF10/FGFR2b signaling is essential for cardiac fibroblast development and growth of the myocardium. Development, 138(15): 3331-3340.
Wilhelm B. T., Marguerat S., Watt S., Schubert F., Wood V., Goodhead I., Penkett C. J., Rogers J. and Bahler J. 2008.  Dynamic repertoire of a eukaryotic transcriptome surveyed at single-nucleotide resolution. Nature, 453: 1239-1243.
Zamani P., Akhondi M., Mohammadabadi M. R., Saki A. A., Ershadi A., Banabazi M. H., Abdolmohammadi A. R. 2013. Genetic variation of Mehraban sheep using two intersimple sequence repeat (ISSR) markers. African Journal of Biotechnology, 10: 1812-1817.
Zandi E., Mohammadabadi M. R., Ezzatkhah M., Esmailizadeh A. K. 2014. Typing of toxigenic isolates of Clostridium perfringens by Multiplex PCR in Ostrich. Iranian Journal of Applied Animal Science, 4(4): 509-514.