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Home / Equine Research Bank / Genes (Basel) / Coding RNA Sequencing of Equine Endometrium during Maternal ...
Genes2019; 10(10); 749; doi: 10.3390/genes10100749

Coding RNA Sequencing of Equine Endometrium during Maternal Recognition of Pregnancy.

Abstract: Equine maternal recognition of pregnancy (MRP) is a process whose signal remains unknown. During MRP the conceptus and endometrium communicate to attenuate prostaglandin F (PGF) secretion, sparing the corpus luteum and maintaining progesterone production. Recognition of a mobile conceptus by the endometrium is critical by days 14-16 post-ovulation (PO), when endometrium produces PGF, initiating luteolysis. The objective of this study was to evaluate endometrial gene expression changes based upon pregnancy status via RNA sequencing. This experiment utilized a cross-over design with each mare serving as both a pregnant and non-mated control on days nine, 11, and 13 PO ( = 3/status/day). Mares were randomly assigned to collection day and pregnancy confirmed by terminal uterine lavage at the time of endometrial biopsy. Total RNA was isolated and libraries prepared using Illumina TruSeq RNA sample preparation kit. Reads were mapped and annotated using HISAT2 and Stringtie. Expression values were evaluated with DESEQ2 ( ≤ 0.05 indicated significance). On day nine, 11, and 13 there were 1435, 1435 and 916 significant transcripts, respectively. Multiple genes with splice variants had different expression patterns within the same day. These are the first data to evaluate the endometrial transcriptome during MRP on days nine, 11, and 13.
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Publication Date: 2019-09-25 PubMed ID: 31557877PubMed Central: PMC6826732DOI: 10.3390/genes10100749Google Scholar: Lookup
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  • Journal Article
  • Research Support
  • Non-U.S. Gov't

Summary

This research summary has been generated with artificial intelligence and may contain errors and omissions. Refer to the original study to confirm details provided. Submit correction.

The research article focuses on a study that evaluated endometrial gene expression changes in horses during pregnancy recognition through RNA sequencing.

Objective of the Research

  • The main aim of this research was to understand changes in gene expression in the endometrium (the lining of the uterus) of mares during the process of maternal recognition of pregnancy (MRP). This process is critical for the survival and continuation of the pregnancy. The researchers wanted to identify gene expression changes associated with pregnancy status, using RNA sequencing techniques.

The Research Methodology

  • Researchers employed a cross-over design, with each mare used in the study serving as both pregnant and non-mated control. This method was used to account for any individual mare-related bias in the observations.
  • The study was conducted on multiple days post-ovulation (days nine, 11, and 13).
  • Pregnancy status in the mares was verified through terminal uterine lavage at the time of endometrial biopsy.
  • RNA from the endometrial biopsy samples was isolated and used to prepare libraries using Illumina TruSeq RNA sample preparation kit.
  • The prepared RNA sequences were then mapped and annotated using bioinformatics tools HISAT2 and Stringtie.
  • The differences in gene expression were analysed using DESEQ2, with a p-value less than or equal to 0.05 indicating statistical significance.

Key Findings

  • The study found 1435, 1435, and 916 significant transcripts for days nine, 11, and 13 respectively, showing that different genes were expressed at different times in the course of MRP.
  • The researchers also observed multiple genes with splice variants that showed different patterns of expression even on the same day.

Conclusion

  • The study provided the first set of data describing the changes in endometrial transcriptome (complete set of RNA sequences) during MRP on days nine, 11, and 13.
  • The findings of this research can serve as the basis for further studies on the process of MRP and its role in maintaining pregnancy in horses.

Cite This Article

APA
Klohonatz KM, Coleman SJ, Islas-Trejo AD, Medrano JF, Hess AM, Kalbfleisch T, Thomas MG, Bouma GJ, Bruemmer JE. (2019). Coding RNA Sequencing of Equine Endometrium during Maternal Recognition of Pregnancy. Genes (Basel), 10(10), 749. https://doi.org/10.3390/genes10100749

Publication

Genes
ISSN: 2073-4425
NlmUniqueID: 101551097
Country: Switzerland
Language: English
Volume: 10
Issue: 10
PII: 749

Researcher Affiliations

Klohonatz, Kristin M
  • Department of Animal Sciences, Colorado State University, Fort Collins, CO 80523, USA. kmk5057@gmail.com.
Coleman, Stephen J
  • Department of Animal Sciences, Colorado State University, Fort Collins, CO 80523, USA. stephen.coleman@colostate.edu.
Islas-Trejo, Alma D
  • Department of Animal Science, University of California Davis, Davis, CA 95616, USA. adislas@ucdavis.edu.
Medrano, Juan F
  • Department of Animal Science, University of California Davis, Davis, CA 95616, USA. jfmedrano@ucdavis.edu.
Hess, Ann M
  • Department of Statistics and Bioinformatics, Colorado State University, Fort Collins, CO 80523, USA. ann.hess@colostate.edu.
Kalbfleisch, Ted
  • Department of Veterinary Science, Gluck Equine Research Center, University of Kentucky, Lexington, KY 40503, USA. ted.kalbfleisch@uky.edu.
Thomas, Milton G
  • Department of Animal Sciences, Colorado State University, Fort Collins, CO 80523, USA. Milt.Thomas@colostate.edu.
Bouma, Gerrit J
  • Department of Biomedical Sciences, Animal Reproduction and Biotechnology Laboratory, Colorado State University, Fort Collins, CO 80523, USA. Gerrit.Bouma@ColoState.EDU.
Bruemmer, Jason E
  • Department of Animal Sciences, Colorado State University, Fort Collins, CO 80523, USA. jason.bruemmer@colostate.edu.
  • Department of Animal Sciences, Colorado State University, 259 Animal Sciences, 1171 Campus Delivery, Fort Collins, CO 80523-1171, USA. jason.bruemmer@colostate.edu.

MeSH Terms

  • Animals
  • Endometrium / metabolism
  • Female
  • Horses
  • Pregnancy
  • Pregnancy, Animal / genetics
  • Sequence Analysis, RNA
  • Transcriptome

Conflict of Interest Statement

The authors declare no conflict of interest.

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Citations

This article has been cited 9 times.
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