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Identification of putative regulatory regions and transcription factors associated with intramuscular fat content traits

BACKGROUND: Integration of high throughput DNA genotyping and RNA-sequencing data allows for the identification of genomic regions that control gene expression, known as expression quantitative trait loci (eQTL), on a whole genome scale. Intramuscular fat (IMF) content and carcass composition play i...

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Autores principales: Cesar, Aline S. M., Regitano, Luciana C. A., Reecy, James M., Poleti, Mirele D., Oliveira, Priscila S. N., de Oliveira, Gabriella B., Moreira, Gabriel C. M., Mudadu, Maurício A., Tizioto, Polyana C., Koltes, James E., Fritz-Waters, Elyn, Kramer, Luke, Garrick, Dorian, Beiki, Hamid, Geistlinger, Ludwig, Mourão, Gerson B., Zerlotini, Adhemar, Coutinho, Luiz L.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2018
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6020320/
https://www.ncbi.nlm.nih.gov/pubmed/29945546
http://dx.doi.org/10.1186/s12864-018-4871-y
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author Cesar, Aline S. M.
Regitano, Luciana C. A.
Reecy, James M.
Poleti, Mirele D.
Oliveira, Priscila S. N.
de Oliveira, Gabriella B.
Moreira, Gabriel C. M.
Mudadu, Maurício A.
Tizioto, Polyana C.
Koltes, James E.
Fritz-Waters, Elyn
Kramer, Luke
Garrick, Dorian
Beiki, Hamid
Geistlinger, Ludwig
Mourão, Gerson B.
Zerlotini, Adhemar
Coutinho, Luiz L.
author_facet Cesar, Aline S. M.
Regitano, Luciana C. A.
Reecy, James M.
Poleti, Mirele D.
Oliveira, Priscila S. N.
de Oliveira, Gabriella B.
Moreira, Gabriel C. M.
Mudadu, Maurício A.
Tizioto, Polyana C.
Koltes, James E.
Fritz-Waters, Elyn
Kramer, Luke
Garrick, Dorian
Beiki, Hamid
Geistlinger, Ludwig
Mourão, Gerson B.
Zerlotini, Adhemar
Coutinho, Luiz L.
author_sort Cesar, Aline S. M.
collection PubMed
description BACKGROUND: Integration of high throughput DNA genotyping and RNA-sequencing data allows for the identification of genomic regions that control gene expression, known as expression quantitative trait loci (eQTL), on a whole genome scale. Intramuscular fat (IMF) content and carcass composition play important roles in metabolic and physiological processes in mammals because they influence insulin sensitivity and consequently prevalence of metabolic diseases such as obesity and type 2 diabetes. However, limited information is available on the genetic variants and mechanisms associated with IMF deposition in mammals. Thus, our hypothesis was that eQTL analyses could identify putative regulatory regions and transcription factors (TFs) associated with intramuscular fat (IMF) content traits. RESULTS: We performed an integrative eQTL study in skeletal muscle to identify putative regulatory regions and factors associated with intramuscular fat content traits. Data obtained from skeletal muscle samples of 192 animals was used for association analysis between 461,466 SNPs and the transcription level of 11,808 genes. This yielded 1268 cis- and 10,334 trans-eQTLs, among which we identified nine hotspot regions that each affected the expression of > 119 genes. These putative regulatory regions overlapped with previously identified QTLs for IMF content. Three of the hotspots respectively harbored the transcription factors USF1, EGR4 and RUNX1T1, which are known to play important roles in lipid metabolism. From co-expression network analysis, we further identified modules significantly correlated with IMF content and associated with relevant processes such as fatty acid metabolism, carbohydrate metabolism and lipid metabolism. CONCLUSION: This study provides novel insights into the link between genotype and IMF content as evident from the expression level. It thereby identifies genomic regions of particular importance and associated regulatory factors. These new findings provide new knowledge about the biological processes associated with genetic variants and mechanisms associated with IMF deposition in mammals. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (10.1186/s12864-018-4871-y) contains supplementary material, which is available to authorized users.
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spelling pubmed-60203202018-07-06 Identification of putative regulatory regions and transcription factors associated with intramuscular fat content traits Cesar, Aline S. M. Regitano, Luciana C. A. Reecy, James M. Poleti, Mirele D. Oliveira, Priscila S. N. de Oliveira, Gabriella B. Moreira, Gabriel C. M. Mudadu, Maurício A. Tizioto, Polyana C. Koltes, James E. Fritz-Waters, Elyn Kramer, Luke Garrick, Dorian Beiki, Hamid Geistlinger, Ludwig Mourão, Gerson B. Zerlotini, Adhemar Coutinho, Luiz L. BMC Genomics Research Article BACKGROUND: Integration of high throughput DNA genotyping and RNA-sequencing data allows for the identification of genomic regions that control gene expression, known as expression quantitative trait loci (eQTL), on a whole genome scale. Intramuscular fat (IMF) content and carcass composition play important roles in metabolic and physiological processes in mammals because they influence insulin sensitivity and consequently prevalence of metabolic diseases such as obesity and type 2 diabetes. However, limited information is available on the genetic variants and mechanisms associated with IMF deposition in mammals. Thus, our hypothesis was that eQTL analyses could identify putative regulatory regions and transcription factors (TFs) associated with intramuscular fat (IMF) content traits. RESULTS: We performed an integrative eQTL study in skeletal muscle to identify putative regulatory regions and factors associated with intramuscular fat content traits. Data obtained from skeletal muscle samples of 192 animals was used for association analysis between 461,466 SNPs and the transcription level of 11,808 genes. This yielded 1268 cis- and 10,334 trans-eQTLs, among which we identified nine hotspot regions that each affected the expression of > 119 genes. These putative regulatory regions overlapped with previously identified QTLs for IMF content. Three of the hotspots respectively harbored the transcription factors USF1, EGR4 and RUNX1T1, which are known to play important roles in lipid metabolism. From co-expression network analysis, we further identified modules significantly correlated with IMF content and associated with relevant processes such as fatty acid metabolism, carbohydrate metabolism and lipid metabolism. CONCLUSION: This study provides novel insights into the link between genotype and IMF content as evident from the expression level. It thereby identifies genomic regions of particular importance and associated regulatory factors. These new findings provide new knowledge about the biological processes associated with genetic variants and mechanisms associated with IMF deposition in mammals. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (10.1186/s12864-018-4871-y) contains supplementary material, which is available to authorized users. BioMed Central 2018-06-27 /pmc/articles/PMC6020320/ /pubmed/29945546 http://dx.doi.org/10.1186/s12864-018-4871-y 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
Cesar, Aline S. M.
Regitano, Luciana C. A.
Reecy, James M.
Poleti, Mirele D.
Oliveira, Priscila S. N.
de Oliveira, Gabriella B.
Moreira, Gabriel C. M.
Mudadu, Maurício A.
Tizioto, Polyana C.
Koltes, James E.
Fritz-Waters, Elyn
Kramer, Luke
Garrick, Dorian
Beiki, Hamid
Geistlinger, Ludwig
Mourão, Gerson B.
Zerlotini, Adhemar
Coutinho, Luiz L.
Identification of putative regulatory regions and transcription factors associated with intramuscular fat content traits
title Identification of putative regulatory regions and transcription factors associated with intramuscular fat content traits
title_full Identification of putative regulatory regions and transcription factors associated with intramuscular fat content traits
title_fullStr Identification of putative regulatory regions and transcription factors associated with intramuscular fat content traits
title_full_unstemmed Identification of putative regulatory regions and transcription factors associated with intramuscular fat content traits
title_short Identification of putative regulatory regions and transcription factors associated with intramuscular fat content traits
title_sort identification of putative regulatory regions and transcription factors associated with intramuscular fat content traits
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6020320/
https://www.ncbi.nlm.nih.gov/pubmed/29945546
http://dx.doi.org/10.1186/s12864-018-4871-y
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