Identification of genomic regions related to litter size with divergent selection between Iranian indigenous sheep breeds and Romanov high reproductive sheep breed

Articles in Press

Document Type : Research Paper

Authors

1 Department of Animal Science, Faculty of Agriculture, Universityof Tehran, Karaj. Iran.

2 Department of Animal Science, Faculty of Agriculture, University of Tehran. Karaj. Iran

3 Department of Animal Science, Faculty of Agriculture, Urmia University, Urmia. Iran.

Abstract

In order to identify genes related to reproductive performance with divergent selection between Iranian indigenous sheep breeds and Romanov high reproductive performance sheep breed, the genomic data of 233 sheep was used. The genomeic data of Romanov sheep were obtained from the iSheep database and the genome of Iranian sheep was achieved from the database at https://disk.yandex.ru/d/3N2wEv0-9_NL0w. Data filtering and quality control, genetic differentiation index analysis (FST) and principal component analysis (PCA) were performed to determine genetic groups using PLINK 1.9 software. Ubiased FST (θ) estimator and XPEHH statistic were used to explore the signs of selection. The genes related to selected genomic regions was extracted using the BIOMART online database corresponding areas in the sheep genome assembly (Oar 3.1). A number of 489 genes associated with the selected genomic regions (consistent of 0.1% of studied markers) were identified. Investigation on the genomic regions under selection showed that of all identified genes related to the difference between the two studied groups, 7 genes involved in biological pathways related to steroid synthesis and ovarian steroidogenesis that may associated Litter size. Identifying this pathway and other complementary studies about genes involved in reproduction could be effective in desigining breeding programs to improve reproductive performance

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Main Subjects

Iranian Journal of animal Science

Articles in Press, Accepted Manuscript
Available Online from 10 July 2024

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History

  • Receive Date: 02 January 2024
  • Revise Date: 11 May 2024
  • Accept Date: 11 May 2024

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