Cargando…
Comparison of the Genome-Wide DNA Methylation Profiles between Fast-Growing and Slow-Growing Broilers
INTRODUCTION: Growth traits are important in poultry production, however, little is known for its regulatory mechanism at epigenetic level. Therefore, in this study, we aim to compare DNA methylation profiles between fast- and slow-growing broilers in order to identify candidate genes for chicken gr...
Autores principales: | , , , , , , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Public Library of Science
2013
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3575439/ https://www.ncbi.nlm.nih.gov/pubmed/23441189 http://dx.doi.org/10.1371/journal.pone.0056411 |
_version_ | 1782259728974348288 |
---|---|
author | Hu, Yongsheng Xu, Haiping Li, Zhenhui Zheng, Xuejuan Jia, Xinzheng Nie, Qinghua Zhang, Xiquan |
author_facet | Hu, Yongsheng Xu, Haiping Li, Zhenhui Zheng, Xuejuan Jia, Xinzheng Nie, Qinghua Zhang, Xiquan |
author_sort | Hu, Yongsheng |
collection | PubMed |
description | INTRODUCTION: Growth traits are important in poultry production, however, little is known for its regulatory mechanism at epigenetic level. Therefore, in this study, we aim to compare DNA methylation profiles between fast- and slow-growing broilers in order to identify candidate genes for chicken growth. Methylated DNA immunoprecipitation-sequencing (MeDIP-seq) was used to investigate the genome-wide DNA methylation pattern in high and low tails of Recessive White Rock (WRR(h); WRR(l)) and that of Xinhua Chickens (XH(h); XH(l)) at 7 weeks of age. The results showed that the average methylation density was the lowest in CGIs followed by promoters. Within the gene body, the methylation density of introns was higher than that of UTRs and exons. Moreover, different methylation levels were observed in different repeat types with the highest in LINE/CR1. Methylated CGIs were prominently distributed in the intergenic regions and were enriched in the size ranging 200–300 bp. In total 13,294 methylated genes were found in four samples, including 4,085 differentially methylated genes of WRR(h) Vs. WRR(l), 5,599 of XH(h) Vs. XH(l), 4,204 of WRR(h) Vs. XH(h), as well as 7,301 of WRR(l) Vs. XH(l). Moreover, 132 differentially methylated genes related to growth and metabolism were observed in both inner contrasts (WRR(h) Vs. WRR(l) and XH(h) Vs. XH(l)), whereas 129 differentially methylated genes related to growth and metabolism were found in both across-breed contrasts (WRR(h) Vs. XH(h) and WRR(l) Vs. XH(l)). Further analysis showed that overall 75 genes exhibited altered DNA methylation in all four contrasts, which included some well-known growth factors of IGF1R, FGF12, FGF14, FGF18, FGFR2, and FGFR3. In addition, we validate the MeDIP-seq results by bisulfite sequencing in some regions. CONCLUSIONS: This study revealed the global DNA methylation pattern of chicken muscle, and identified candidate genes that potentially regulate muscle development at 7 weeks of age at methylation level. |
format | Online Article Text |
id | pubmed-3575439 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2013 |
publisher | Public Library of Science |
record_format | MEDLINE/PubMed |
spelling | pubmed-35754392013-02-25 Comparison of the Genome-Wide DNA Methylation Profiles between Fast-Growing and Slow-Growing Broilers Hu, Yongsheng Xu, Haiping Li, Zhenhui Zheng, Xuejuan Jia, Xinzheng Nie, Qinghua Zhang, Xiquan PLoS One Research Article INTRODUCTION: Growth traits are important in poultry production, however, little is known for its regulatory mechanism at epigenetic level. Therefore, in this study, we aim to compare DNA methylation profiles between fast- and slow-growing broilers in order to identify candidate genes for chicken growth. Methylated DNA immunoprecipitation-sequencing (MeDIP-seq) was used to investigate the genome-wide DNA methylation pattern in high and low tails of Recessive White Rock (WRR(h); WRR(l)) and that of Xinhua Chickens (XH(h); XH(l)) at 7 weeks of age. The results showed that the average methylation density was the lowest in CGIs followed by promoters. Within the gene body, the methylation density of introns was higher than that of UTRs and exons. Moreover, different methylation levels were observed in different repeat types with the highest in LINE/CR1. Methylated CGIs were prominently distributed in the intergenic regions and were enriched in the size ranging 200–300 bp. In total 13,294 methylated genes were found in four samples, including 4,085 differentially methylated genes of WRR(h) Vs. WRR(l), 5,599 of XH(h) Vs. XH(l), 4,204 of WRR(h) Vs. XH(h), as well as 7,301 of WRR(l) Vs. XH(l). Moreover, 132 differentially methylated genes related to growth and metabolism were observed in both inner contrasts (WRR(h) Vs. WRR(l) and XH(h) Vs. XH(l)), whereas 129 differentially methylated genes related to growth and metabolism were found in both across-breed contrasts (WRR(h) Vs. XH(h) and WRR(l) Vs. XH(l)). Further analysis showed that overall 75 genes exhibited altered DNA methylation in all four contrasts, which included some well-known growth factors of IGF1R, FGF12, FGF14, FGF18, FGFR2, and FGFR3. In addition, we validate the MeDIP-seq results by bisulfite sequencing in some regions. CONCLUSIONS: This study revealed the global DNA methylation pattern of chicken muscle, and identified candidate genes that potentially regulate muscle development at 7 weeks of age at methylation level. Public Library of Science 2013-02-18 /pmc/articles/PMC3575439/ /pubmed/23441189 http://dx.doi.org/10.1371/journal.pone.0056411 Text en © 2013 Hu 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 Hu, Yongsheng Xu, Haiping Li, Zhenhui Zheng, Xuejuan Jia, Xinzheng Nie, Qinghua Zhang, Xiquan Comparison of the Genome-Wide DNA Methylation Profiles between Fast-Growing and Slow-Growing Broilers |
title | Comparison of the Genome-Wide DNA Methylation Profiles between Fast-Growing and Slow-Growing Broilers |
title_full | Comparison of the Genome-Wide DNA Methylation Profiles between Fast-Growing and Slow-Growing Broilers |
title_fullStr | Comparison of the Genome-Wide DNA Methylation Profiles between Fast-Growing and Slow-Growing Broilers |
title_full_unstemmed | Comparison of the Genome-Wide DNA Methylation Profiles between Fast-Growing and Slow-Growing Broilers |
title_short | Comparison of the Genome-Wide DNA Methylation Profiles between Fast-Growing and Slow-Growing Broilers |
title_sort | comparison of the genome-wide dna methylation profiles between fast-growing and slow-growing broilers |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3575439/ https://www.ncbi.nlm.nih.gov/pubmed/23441189 http://dx.doi.org/10.1371/journal.pone.0056411 |
work_keys_str_mv | AT huyongsheng comparisonofthegenomewidednamethylationprofilesbetweenfastgrowingandslowgrowingbroilers AT xuhaiping comparisonofthegenomewidednamethylationprofilesbetweenfastgrowingandslowgrowingbroilers AT lizhenhui comparisonofthegenomewidednamethylationprofilesbetweenfastgrowingandslowgrowingbroilers AT zhengxuejuan comparisonofthegenomewidednamethylationprofilesbetweenfastgrowingandslowgrowingbroilers AT jiaxinzheng comparisonofthegenomewidednamethylationprofilesbetweenfastgrowingandslowgrowingbroilers AT nieqinghua comparisonofthegenomewidednamethylationprofilesbetweenfastgrowingandslowgrowingbroilers AT zhangxiquan comparisonofthegenomewidednamethylationprofilesbetweenfastgrowingandslowgrowingbroilers |