آنالیز بیانِ ژن‌ها و رسم شبکه ژنی آپوپتوزیس در نژادهای مرغ بومی اصفهان و تجاری راس تحت داده‌های Rna-Seq

در این مطالعه با استفاده از داده های توالی یابی rna-seq، به دست آمده از 12 قطعه مرغِ ماده، بومی اصفهان و تجاری راس به بررسی ژن های با بیان متفاوت ،به شناسایی مهمترین ژن های موثر در سیستم آپوپتوزیز و تقویت آن پرداخته شد. در این بررسی کیفیت داده ها با استفاده از نرم افزار fastqc سنجیده شد. پس از حذف خوانش های بی کیفیت، با استفاده از نرم افزار trimmomatic، نقشه یابی داده ها با استفاده از نرم افزار top hat2 انجام گرفت. شبکه ژنی آپوپتوزیز توسط پایگاه استرینگ رسم و آنالیز شد. تحلیل شبکه نشاندهنده معنی داریِ شبکه بوده و میزان و چگونگی ارتباط ژن ها مشخص شد. نتایج حاصل از بررسی ترنسکریپتوم های سیستم ایمنی با استفاده از cuffdif نشان داد که از بین 1328 ژن دارای تفاوت بیان معنی دار در سیستم ایمنی، 11 ژن مربوط به آپوپتوزیز بود. همچنین ژن pik3cd دارای بیشترین مقدارِ بیان در دو نژاد بومی و تجاری و pik3cb دارای کمترین مقدارِ بیان در نژاد بومی بودند. بیشترین معنی داری در فرایندهای بیولوژیکی بر اساس آماره bonferroni، مربوط به مسیرِ علامت دهی وابسته به اینوزیتول و بر اساس آماره pvalue مربوط به مسیرِ تنظیم موضعی کردن پروتئین به سمت هسته می باشد. آنالیز شبکه ژنیِ آپوپتوزیز، منجر به شناسایی دو زیر شبکه (کلاستر) گردید که ژن شاخص آنها به ترتیب pik3r1 و il1r1 می باشد.

Gene Expression Analysis on Apoptosis network and design it in Esfahani and Ross Breeds

Introduction Economic pressure on the modern poultry industry has directed the selection process towards fastgrowing broilers that have a reduced feed conversion ratio. Selection based heavily on growth characteristics could adversely affect immune competence leaving chickens more susceptible to disease. Native breeds of chickens are playing an important role in rural economies in most of the developing and underdeveloped countries. The immune system is an adaptive defensed at evolved in phylogenesis to control an organism’s integrity and apoptosis system is involved in many immune system mechanisms and diseases therefore this study has emphasized on apoptosis system. Recently, next generation sequencing technology (RNASeq) has become available as a powerful tool to investigate transcriptional profiles for gene expression analysis of many organisms. So, we performed comparative gene expression analysis of native and commercial chickens by RNAsequencing technology, in order to, detect differentially expressed genes involved in apoptosis in native and commercial breed poultry.;Materials and methods The chicken in this study was female from Esfahani and Ross breeds (47 days of age). The blood samples were collected from Brachial/ulnar wing vein; 5 ml was taken. The total RNA was extracted by using Trizol (Invitrogen, USA) according to the manufacture 's protocol. The RNA pool was prepared by mixing together equal quantities of three RNA samples per group/ Total RNA was sent to BGI Company (China) for pairedend sequencing by an Illumina Hiseq 2000 platform and the raw reads were generated. Approximately 18 million fragments were sequenced with length of 150 bp. The quality of the row data was checked with Fast QC vol 0.11.2 and Trimmomatic (v 0.35) were used to remove Illumina adaptors, trimming of reads as well as quality or filtering reads by removing lowquality reads. The reads passed the quality control were mapped to the reference genome using Tophat2 (v2.1.1). For aligning and DE analyzing were used cufflinks, cuffmerge and cuffdiff. Then significant DEGs imported to String for creating gene expression network and use DAVID 6.8 for investigation gene annotation and pathway analysis and finally Cytoscape v. 3.5.1 was used for network and cluster analysis.;Results and Discussion Among 1328 significant differentially expressed genes in immune system, 11 genes were identified in a pathway in KEGG database, which named apoptosis genes. Gene ontology has been shown that the most significant biological process term containing 4 genes in term of GO: 1900182 positive regulation of protein localization to nucleus. The apoptosis genes Network analysis showed that number of nods was 11, number of edges was 20, average of degree was 3.64, average local clustering coefficient was0.621. Furthermore, analysis of apoptosis gene networks by Cytoscape showed that PIK3R1 had the highest value by degree. Beside of this result, AKT1 and CSF2RB had the highest value by Beetwinness Centrality. The highest out degree and the lowest in degree were related to AKT1.;Conclusion Overall, 3 apoptic genes including PIK3R1, AKT1 and CSF2RB were recognized as very important in breeding poultry. According to involving apoptic genes in disease and Innate immune system, we mayuse these genes in breeding plans. We can regulate them with appropriate cell and molecular methods or using epigenetic procedures.