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Discovery and characterization of functional modules associated with body weight in broilers
Aim of the present study was to investigate whether body weight (BW) in broilers is associated with functional modular genes. To this end, first a GWAS for BW was conducted using 6,598 broilers and the high density SNP array. The next step was to search for positional candidate genes and QTLs within...
Autores principales: | , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2019
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6591351/ https://www.ncbi.nlm.nih.gov/pubmed/31235723 http://dx.doi.org/10.1038/s41598-019-45520-5 |
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author | Tarsani, Eirini Kranis, Andreas Maniatis, Gerasimos Avendano, Santiago Hager-Theodorides, Ariadne L. Kominakis, Antonios |
author_facet | Tarsani, Eirini Kranis, Andreas Maniatis, Gerasimos Avendano, Santiago Hager-Theodorides, Ariadne L. Kominakis, Antonios |
author_sort | Tarsani, Eirini |
collection | PubMed |
description | Aim of the present study was to investigate whether body weight (BW) in broilers is associated with functional modular genes. To this end, first a GWAS for BW was conducted using 6,598 broilers and the high density SNP array. The next step was to search for positional candidate genes and QTLs within strong LD genomic regions around the significant SNPs. Using all positional candidate genes, a network was then constructed and community structure analysis was performed. Finally, functional enrichment analysis was applied to infer the functional relevance of modular genes. A total number of 645 positional candidate genes were identified in strong LD genomic regions around 11 genome-wide significant markers. 428 of the positional candidate genes were located within growth related QTLs. Community structure analysis detected 5 modules while functional enrichment analysis showed that 52 modular genes participated in developmental processes such as skeletal system development. An additional number of 14 modular genes (GABRG1, NGF, APOBEC2, STAT5B, STAT3, SMAD4, MED1, CACNB1, SLAIN2, LEMD2, ZC3H18, TMEM132D, FRYL and SGCB) were also identified as related to body weight. Taken together, current results suggested a total number of 66 genes as most plausible functional candidates for the trait examined. |
format | Online Article Text |
id | pubmed-6591351 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2019 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-65913512019-07-02 Discovery and characterization of functional modules associated with body weight in broilers Tarsani, Eirini Kranis, Andreas Maniatis, Gerasimos Avendano, Santiago Hager-Theodorides, Ariadne L. Kominakis, Antonios Sci Rep Article Aim of the present study was to investigate whether body weight (BW) in broilers is associated with functional modular genes. To this end, first a GWAS for BW was conducted using 6,598 broilers and the high density SNP array. The next step was to search for positional candidate genes and QTLs within strong LD genomic regions around the significant SNPs. Using all positional candidate genes, a network was then constructed and community structure analysis was performed. Finally, functional enrichment analysis was applied to infer the functional relevance of modular genes. A total number of 645 positional candidate genes were identified in strong LD genomic regions around 11 genome-wide significant markers. 428 of the positional candidate genes were located within growth related QTLs. Community structure analysis detected 5 modules while functional enrichment analysis showed that 52 modular genes participated in developmental processes such as skeletal system development. An additional number of 14 modular genes (GABRG1, NGF, APOBEC2, STAT5B, STAT3, SMAD4, MED1, CACNB1, SLAIN2, LEMD2, ZC3H18, TMEM132D, FRYL and SGCB) were also identified as related to body weight. Taken together, current results suggested a total number of 66 genes as most plausible functional candidates for the trait examined. Nature Publishing Group UK 2019-06-24 /pmc/articles/PMC6591351/ /pubmed/31235723 http://dx.doi.org/10.1038/s41598-019-45520-5 Text en © The Author(s) 2019 Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as 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 images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/. |
spellingShingle | Article Tarsani, Eirini Kranis, Andreas Maniatis, Gerasimos Avendano, Santiago Hager-Theodorides, Ariadne L. Kominakis, Antonios Discovery and characterization of functional modules associated with body weight in broilers |
title | Discovery and characterization of functional modules associated with body weight in broilers |
title_full | Discovery and characterization of functional modules associated with body weight in broilers |
title_fullStr | Discovery and characterization of functional modules associated with body weight in broilers |
title_full_unstemmed | Discovery and characterization of functional modules associated with body weight in broilers |
title_short | Discovery and characterization of functional modules associated with body weight in broilers |
title_sort | discovery and characterization of functional modules associated with body weight in broilers |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6591351/ https://www.ncbi.nlm.nih.gov/pubmed/31235723 http://dx.doi.org/10.1038/s41598-019-45520-5 |
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