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Identification of Common Regulators of Genes in Co-Expression Networks Affecting Muscle and Meat Properties

Understanding the genetic contributions behind skeletal muscle composition and metabolism is of great interest in medicine and agriculture. Attempts to dissect these complex traits combine genome-wide genotyping, expression data analyses and network analyses. Weighted gene co-expression network anal...

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Autores principales: Ponsuksili, Siriluck, Siengdee, Puntita, Du, Yang, Trakooljul, Nares, Murani, Eduard, Schwerin, Manfred, Wimmers, Klaus
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2015
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4397042/
https://www.ncbi.nlm.nih.gov/pubmed/25875247
http://dx.doi.org/10.1371/journal.pone.0123678
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author Ponsuksili, Siriluck
Siengdee, Puntita
Du, Yang
Trakooljul, Nares
Murani, Eduard
Schwerin, Manfred
Wimmers, Klaus
author_facet Ponsuksili, Siriluck
Siengdee, Puntita
Du, Yang
Trakooljul, Nares
Murani, Eduard
Schwerin, Manfred
Wimmers, Klaus
author_sort Ponsuksili, Siriluck
collection PubMed
description Understanding the genetic contributions behind skeletal muscle composition and metabolism is of great interest in medicine and agriculture. Attempts to dissect these complex traits combine genome-wide genotyping, expression data analyses and network analyses. Weighted gene co-expression network analysis (WGCNA) groups genes into modules based on patterns of co-expression, which can be linked to phenotypes by correlation analysis of trait values and the module eigengenes, i.e. the first principal component of a given module. Network hub genes and regulators of the genes in the modules are likely to play an important role in the emergence of respective traits. In order to detect common regulators of genes in modules showing association with meat quality traits, we identified eQTL for each of these genes, including the highly connected hub genes. Additionally, the module eigengene values were used for association analyses in order to derive a joint eQTL for the respective module. Thereby major sites of orchestrated regulation of genes within trait-associated modules were detected as hotspots of eQTL of many genes of a module and of its eigengene. These sites harbor likely common regulators of genes in the modules. We exemplarily showed the consistent impact of candidate common regulators on the expression of members of respective modules by RNAi knockdown experiments. In fact, Cxcr7 was identified and validated as a regulator of genes in a module, which is involved in the function of defense response in muscle cells. Zfp36l2 was confirmed as a regulator of genes of a module related to cell death or apoptosis pathways. The integration of eQTL in module networks enabled to interpret the differentially-regulated genes from a systems perspective. By integrating genome-wide genomic and transcriptomic data, employing co-expression and eQTL analyses, the study revealed likely regulators that are involved in the fine-tuning and synchronization of genes with trait-associated expression.
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spelling pubmed-43970422015-04-21 Identification of Common Regulators of Genes in Co-Expression Networks Affecting Muscle and Meat Properties Ponsuksili, Siriluck Siengdee, Puntita Du, Yang Trakooljul, Nares Murani, Eduard Schwerin, Manfred Wimmers, Klaus PLoS One Research Article Understanding the genetic contributions behind skeletal muscle composition and metabolism is of great interest in medicine and agriculture. Attempts to dissect these complex traits combine genome-wide genotyping, expression data analyses and network analyses. Weighted gene co-expression network analysis (WGCNA) groups genes into modules based on patterns of co-expression, which can be linked to phenotypes by correlation analysis of trait values and the module eigengenes, i.e. the first principal component of a given module. Network hub genes and regulators of the genes in the modules are likely to play an important role in the emergence of respective traits. In order to detect common regulators of genes in modules showing association with meat quality traits, we identified eQTL for each of these genes, including the highly connected hub genes. Additionally, the module eigengene values were used for association analyses in order to derive a joint eQTL for the respective module. Thereby major sites of orchestrated regulation of genes within trait-associated modules were detected as hotspots of eQTL of many genes of a module and of its eigengene. These sites harbor likely common regulators of genes in the modules. We exemplarily showed the consistent impact of candidate common regulators on the expression of members of respective modules by RNAi knockdown experiments. In fact, Cxcr7 was identified and validated as a regulator of genes in a module, which is involved in the function of defense response in muscle cells. Zfp36l2 was confirmed as a regulator of genes of a module related to cell death or apoptosis pathways. The integration of eQTL in module networks enabled to interpret the differentially-regulated genes from a systems perspective. By integrating genome-wide genomic and transcriptomic data, employing co-expression and eQTL analyses, the study revealed likely regulators that are involved in the fine-tuning and synchronization of genes with trait-associated expression. Public Library of Science 2015-04-14 /pmc/articles/PMC4397042/ /pubmed/25875247 http://dx.doi.org/10.1371/journal.pone.0123678 Text en © 2015 Ponsuksili et al http://creativecommons.org/licenses/by/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are properly credited.
spellingShingle Research Article
Ponsuksili, Siriluck
Siengdee, Puntita
Du, Yang
Trakooljul, Nares
Murani, Eduard
Schwerin, Manfred
Wimmers, Klaus
Identification of Common Regulators of Genes in Co-Expression Networks Affecting Muscle and Meat Properties
title Identification of Common Regulators of Genes in Co-Expression Networks Affecting Muscle and Meat Properties
title_full Identification of Common Regulators of Genes in Co-Expression Networks Affecting Muscle and Meat Properties
title_fullStr Identification of Common Regulators of Genes in Co-Expression Networks Affecting Muscle and Meat Properties
title_full_unstemmed Identification of Common Regulators of Genes in Co-Expression Networks Affecting Muscle and Meat Properties
title_short Identification of Common Regulators of Genes in Co-Expression Networks Affecting Muscle and Meat Properties
title_sort identification of common regulators of genes in co-expression networks affecting muscle and meat properties
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4397042/
https://www.ncbi.nlm.nih.gov/pubmed/25875247
http://dx.doi.org/10.1371/journal.pone.0123678
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