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Gene co-expression networks from RNA sequencing of dairy cattle identifies genes and pathways affecting feed efficiency

BACKGROUND: Selection for feed efficiency is crucial for overall profitability and sustainability in dairy cattle production. Key regulator genes and genetic markers derived from co-expression networks underlying feed efficiency could be included in the genomic selection of the best cows. The presen...

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Autores principales: Salleh, S. M., Mazzoni, G., Løvendahl, P., Kadarmideen, H. N.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2018
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6296024/
https://www.ncbi.nlm.nih.gov/pubmed/30558534
http://dx.doi.org/10.1186/s12859-018-2553-z
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author Salleh, S. M.
Mazzoni, G.
Løvendahl, P.
Kadarmideen, H. N.
author_facet Salleh, S. M.
Mazzoni, G.
Løvendahl, P.
Kadarmideen, H. N.
author_sort Salleh, S. M.
collection PubMed
description BACKGROUND: Selection for feed efficiency is crucial for overall profitability and sustainability in dairy cattle production. Key regulator genes and genetic markers derived from co-expression networks underlying feed efficiency could be included in the genomic selection of the best cows. The present study identified co-expression networks associated with high and low feed efficiency and their regulator genes in Danish Holstein and Jersey cows. RNA-sequencing data from Holstein and Jersey cows with high and low residual feed intake (RFI) and treated with two diets (low and high concentrate) were used. Approximately 26 million and 25 million pair reads were mapped to bovine reference genome for Jersey and Holstein breed, respectively. Subsequently, the gene count expressions data were analysed using a Weighted Gene Co-expression Network Analysis (WGCNA) approach. Functional enrichment analysis from Ingenuity® Pathway Analysis (IPA®), ClueGO application and STRING of these modules was performed to identify relevant biological pathways and regulatory genes. RESULTS: WGCNA identified two groups of co-expressed genes (modules) significantly associated with RFI and one module significantly associated with diet. In Holstein cows, the salmon module with module trait relationship (MTR) = 0.7 and the top upstream regulators ATP7B were involved in cholesterol biosynthesis, steroid biosynthesis, lipid biosynthesis and fatty acid metabolism. The magenta module has been significantly associated (MTR = 0.51) with the treatment diet involved in the triglyceride homeostasis. In Jersey cows, the lightsteelblue1 (MTR = − 0.57) module controlled by IFNG and IL10RA was involved in the positive regulation of interferon-gamma production, lymphocyte differentiation, natural killer cell-mediated cytotoxicity and primary immunodeficiency. CONCLUSION: The present study provides new information on the biological functions in liver that are potentially involved in controlling feed efficiency. The hub genes and upstream regulators (ATP7b, IFNG and IL10RA) involved in these functions are potential candidate genes for the development of new biomarkers. However, the hub genes, upstream regulators and pathways involved in the co-expressed networks were different in both breeds. Hence, additional studies are required to investigate and confirm these findings prior to their use as candidate genes. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (10.1186/s12859-018-2553-z) contains supplementary material, which is available to authorized users.
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spelling pubmed-62960242018-12-18 Gene co-expression networks from RNA sequencing of dairy cattle identifies genes and pathways affecting feed efficiency Salleh, S. M. Mazzoni, G. Løvendahl, P. Kadarmideen, H. N. BMC Bioinformatics Research Article BACKGROUND: Selection for feed efficiency is crucial for overall profitability and sustainability in dairy cattle production. Key regulator genes and genetic markers derived from co-expression networks underlying feed efficiency could be included in the genomic selection of the best cows. The present study identified co-expression networks associated with high and low feed efficiency and their regulator genes in Danish Holstein and Jersey cows. RNA-sequencing data from Holstein and Jersey cows with high and low residual feed intake (RFI) and treated with two diets (low and high concentrate) were used. Approximately 26 million and 25 million pair reads were mapped to bovine reference genome for Jersey and Holstein breed, respectively. Subsequently, the gene count expressions data were analysed using a Weighted Gene Co-expression Network Analysis (WGCNA) approach. Functional enrichment analysis from Ingenuity® Pathway Analysis (IPA®), ClueGO application and STRING of these modules was performed to identify relevant biological pathways and regulatory genes. RESULTS: WGCNA identified two groups of co-expressed genes (modules) significantly associated with RFI and one module significantly associated with diet. In Holstein cows, the salmon module with module trait relationship (MTR) = 0.7 and the top upstream regulators ATP7B were involved in cholesterol biosynthesis, steroid biosynthesis, lipid biosynthesis and fatty acid metabolism. The magenta module has been significantly associated (MTR = 0.51) with the treatment diet involved in the triglyceride homeostasis. In Jersey cows, the lightsteelblue1 (MTR = − 0.57) module controlled by IFNG and IL10RA was involved in the positive regulation of interferon-gamma production, lymphocyte differentiation, natural killer cell-mediated cytotoxicity and primary immunodeficiency. CONCLUSION: The present study provides new information on the biological functions in liver that are potentially involved in controlling feed efficiency. The hub genes and upstream regulators (ATP7b, IFNG and IL10RA) involved in these functions are potential candidate genes for the development of new biomarkers. However, the hub genes, upstream regulators and pathways involved in the co-expressed networks were different in both breeds. Hence, additional studies are required to investigate and confirm these findings prior to their use as candidate genes. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (10.1186/s12859-018-2553-z) contains supplementary material, which is available to authorized users. BioMed Central 2018-12-17 /pmc/articles/PMC6296024/ /pubmed/30558534 http://dx.doi.org/10.1186/s12859-018-2553-z Text en © The Author(s). 2018 Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated.
spellingShingle Research Article
Salleh, S. M.
Mazzoni, G.
Løvendahl, P.
Kadarmideen, H. N.
Gene co-expression networks from RNA sequencing of dairy cattle identifies genes and pathways affecting feed efficiency
title Gene co-expression networks from RNA sequencing of dairy cattle identifies genes and pathways affecting feed efficiency
title_full Gene co-expression networks from RNA sequencing of dairy cattle identifies genes and pathways affecting feed efficiency
title_fullStr Gene co-expression networks from RNA sequencing of dairy cattle identifies genes and pathways affecting feed efficiency
title_full_unstemmed Gene co-expression networks from RNA sequencing of dairy cattle identifies genes and pathways affecting feed efficiency
title_short Gene co-expression networks from RNA sequencing of dairy cattle identifies genes and pathways affecting feed efficiency
title_sort gene co-expression networks from rna sequencing of dairy cattle identifies genes and pathways affecting feed efficiency
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6296024/
https://www.ncbi.nlm.nih.gov/pubmed/30558534
http://dx.doi.org/10.1186/s12859-018-2553-z
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