Comparison of differential expression profiles of candidate genes related to fertility ‎traits using transcriptome perspective based on RNA-Seq in Holstein dairy cows

Message:
Article Type:
Research/Original Article (دارای رتبه معتبر)
Abstract:
Genetic selection for increasing milk production and economic profitability in the dairy industry has been associated with reduction in reproductive performance, including lower embryo survival and pregnancy loss. The main purpose of this study was to use the transcriptome profiles of endometrial tissue and Corpus luteum of two groups of high and low fertility Holstein dairy cows to identify genes that are effective in reproductive rate, especially in early pregnancy. By the analysis of RNA-Seq data to express the gene differences, 4538 genes were extracted, which a total of 1466 genes showed significant expression differences (P<0.000001, Fold change<0.5). Then, by comparing the relevant genes among transcriptome profiles, common genes between endometrial tissue (on days 7 and 13 of the estrous cycle) and Corpus luteum (on day 13 of the estrous cycle) including SYNM, PARM1, NXPE2, NT5DC3, COL4A3, COL12A1, ALPK3, ADAMDEC1, SERPINA14, S100A9, PI16, OAS1X, MSTN, MASP1, CD83, CA2, C2, C5, JSP.1 and SAA3 were identified. Annotation results of these genes indicated that they have a role in the main process of metabolic and signaling pathways related to the ion transport system, inflammation, immune system function, and cell-matrix structure. Overall, the present study can provide new insights into the molecular evidence for the biological mechanisms of transcriptome profiling in the uterine environment and biomarkers related to fertility in dairy cows.
Language:
Persian
Published:
Iranian Journal of Animal Science, Volume:52 Issue: 4, 2022
Pages:
217 to 229
magiran.com/p2411812  
دانلود و مطالعه متن این مقاله با یکی از روشهای زیر امکان پذیر است:
اشتراک شخصی
با عضویت و پرداخت آنلاین حق اشتراک یک‌ساله به مبلغ 1,390,000ريال می‌توانید 70 عنوان مطلب دانلود کنید!
اشتراک سازمانی
به کتابخانه دانشگاه یا محل کار خود پیشنهاد کنید تا اشتراک سازمانی این پایگاه را برای دسترسی نامحدود همه کاربران به متن مطالب تهیه نمایند!
توجه!
  • حق عضویت دریافتی صرف حمایت از نشریات عضو و نگهداری، تکمیل و توسعه مگیران می‌شود.
  • پرداخت حق اشتراک و دانلود مقالات اجازه بازنشر آن در سایر رسانه‌های چاپی و دیجیتال را به کاربر نمی‌دهد.
In order to view content subscription is required

Personal subscription
Subscribe magiran.com for 70 € euros via PayPal and download 70 articles during a year.
Organization subscription
Please contact us to subscribe your university or library for unlimited access!