Discovery and characterization of functional modules associated with body weight in broilers
Abstract 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 QT...
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doaj-4a858f1c5f6a470ba51c136151eaa8d62020-12-08T08:07:40ZengNature Publishing GroupScientific Reports2045-23222019-06-019111210.1038/s41598-019-45520-5Discovery and characterization of functional modules associated with body weight in broilersEirini Tarsani0Andreas Kranis1Gerasimos Maniatis2Santiago Avendano3Ariadne L. Hager-Theodorides4Antonios Kominakis5Department of Animal Science and Aquaculture, Agricultural University of AthensAviagen Ltd.Aviagen Ltd.Aviagen Ltd.Department of Animal Science and Aquaculture, Agricultural University of AthensDepartment of Animal Science and Aquaculture, Agricultural University of AthensAbstract 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.https://doi.org/10.1038/s41598-019-45520-5 |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Eirini Tarsani Andreas Kranis Gerasimos Maniatis Santiago Avendano Ariadne L. Hager-Theodorides Antonios Kominakis |
spellingShingle |
Eirini Tarsani Andreas Kranis Gerasimos Maniatis Santiago Avendano Ariadne L. Hager-Theodorides Antonios Kominakis Discovery and characterization of functional modules associated with body weight in broilers Scientific Reports |
author_facet |
Eirini Tarsani Andreas Kranis Gerasimos Maniatis Santiago Avendano Ariadne L. Hager-Theodorides Antonios Kominakis |
author_sort |
Eirini Tarsani |
title |
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_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_sort |
discovery and characterization of functional modules associated with body weight in broilers |
publisher |
Nature Publishing Group |
series |
Scientific Reports |
issn |
2045-2322 |
publishDate |
2019-06-01 |
description |
Abstract 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. |
url |
https://doi.org/10.1038/s41598-019-45520-5 |
work_keys_str_mv |
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