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Animals : an open access journal from MDPI2020; 10(7); 1173; doi: 10.3390/ani10071173

Identification and Functional Annotation of Genes Related to Horses’ Performance: From GWAS to Post-GWAS.

Abstract: Integration of genomic data with gene network analysis can be a relevant strategy for unraveling genetic mechanisms. It can be used to explore shared biological processes between genes, as well as highlighting transcription factors (TFs) related to phenotypes of interest. Unlike other species, gene-TF network analyses have not yet been well applied to horse traits. We aimed to (1) identify candidate genes associated with horse performance via systematic review, and (2) build biological processes and gene-TF networks from the identified genes aiming to highlight the most candidate genes for horse performance. Our systematic review considered peer-reviewed articles using 20 combinations of keywords. Nine articles were selected and placed into groups for functional analysis via gene networks. A total of 669 candidate genes were identified. From that, gene networks of biological processes from each group were constructed, highlighting processes associated with horse performance (e.g., regulation of systemic arterial blood pressure by vasopressin and regulation of actin polymerization and depolymerization). Transcription factors associated with candidate genes were also identified. Based on their biological processes and evidence from the literature, we identified the main TFs related to horse performance traits, which allowed us to construct a gene-TF network highlighting TFs and the most candidate genes for horse performance.
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Publication Date: 2020-07-10 PubMed ID: 32664293PubMed Central: PMC7401650DOI: 10.3390/ani10071173Google Scholar: Lookup
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  • Journal Article

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 is about applying gene network analysis to genomic data of horses to identify specific genes related to their performance traits.

Objective of the Research

  • The primary objective of this research was to employ an integrated approach of genomic data analysis and gene network analysis to identify candidate genes that could possibly be associated with horse performance.
  • The researchers also aimed to construct networks of biological processes from these identified genes, pointing out processes linked to horse performance. This would provide a clearer understanding of the function of these genes.

Methodology

  • The researchers conducted a systematic review that considered peer-reviewed articles by using a combination of 20 different keywords. This approach was designed to filter through a vast amount of existing literature to find any potential links between specific genes and horse performance.
  • From the review, nine articles were selected for functional analysis through gene networks. This involved creating a network of interactions between the identified genes and observing any possible correlations with biological processes associated with horse performance.

Results and Findings

  • The systematic review and subsequent analysis led to the identification of 669 candidate genes. Each respective gene was then mapped to specific biological processes, highlighting those associated with horse performance. Examples of these processes include the regulation of systemic arterial blood pressure by vasopressin and the regulation of actin polymerization and depolymerization.
  • After mapping the genes to biological processes, the researchers then discerned any transcription factors (TFs) associated with the candidate genes. TFs are proteins that regulate the rate of transcription from DNA to messenger RNA. Identifying these laid the groundwork for understanding the genomic mechanisms influencing horse performance.
  • By considering the evidence from the literature, biological processes, and identified TFs, the research team constructed a comprehensive gene-TF network. This gene-TF network highlights the most prominent TFs and genes potentially influential to horse performance.

Cite This Article

APA
Littiere TO, Castro GHF, Rodriguez MDPR, Bonafé CM, Magalhães AFB, Faleiros RR, Vieira JIG, Santos CG, Verardo LL. (2020). Identification and Functional Annotation of Genes Related to Horses’ Performance: From GWAS to Post-GWAS. Animals (Basel), 10(7), 1173. https://doi.org/10.3390/ani10071173

Publication

Animals : an open access journal from MDPI
ISSN: 2076-2615
NlmUniqueID: 101635614
Country: Switzerland
Language: English
Volume: 10
Issue: 7
PII: 1173

Researcher Affiliations

Littiere, Thayssa O
  • Department of Animal Science, Universidade Federal dos Vales do Jequitinhonha e Mucuri, Diamantina 39100-000, Brazil.
Castro, Gustavo H F
  • Department of Animal Science, Universidade Federal dos Vales do Jequitinhonha e Mucuri, Diamantina 39100-000, Brazil.
Rodriguez, Maria Del Pilar R
  • Department of Animal Science, Universidade Federal dos Vales do Jequitinhonha e Mucuri, Diamantina 39100-000, Brazil.
Bonafé, Cristina M
  • Department of Animal Science, Universidade Federal dos Vales do Jequitinhonha e Mucuri, Diamantina 39100-000, Brazil.
Magalhães, Ana F B
  • Department of Animal Science, Universidade Federal dos Vales do Jequitinhonha e Mucuri, Diamantina 39100-000, Brazil.
Faleiros, Rafael R
  • EQUINOVA Research Group, Universidade Federal de Minas Gerais, Belo Horizonte 31270-901, Brazil.
Vieira, João I G
  • Department of Animal Science, Universidade Federal dos Vales do Jequitinhonha e Mucuri, Diamantina 39100-000, Brazil.
Santos, Cassiane G
  • Department of Animal Science, Universidade Federal dos Vales do Jequitinhonha e Mucuri, Diamantina 39100-000, Brazil.
Verardo, Lucas L
  • Department of Animal Science, Universidade Federal dos Vales do Jequitinhonha e Mucuri, Diamantina 39100-000, Brazil.

Grant Funding

  • 431489/2018-1 / National Council for Scientific and Technological Development - CNPq
  • Finance Code 001 / Coordenau00e7u00e3o de Aperfeiu00e7oamento de Pessoal de Nu00edvel Superior - Brasil

Conflict of Interest Statement

The authors declare no conflict of interest.

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