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Characterizing Milk Production Related Genes in Holstein Using RNA-seq
Although the chemical, physical, and nutritional properties of bovine milk have been extensively studied, only a few studies have attempted to characterize milk-synthesizing genes using RNA-seq data. RNA-seq data was collected from 21 Holstein samples, along with group information about milk product...
Autores principales: | , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Asian-Australasian Association of Animal Production Societies (AAAP) and Korean Society of Animal Science and Technology (KSAST)
2016
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4811784/ https://www.ncbi.nlm.nih.gov/pubmed/26950864 http://dx.doi.org/10.5713/ajas.15.0525 |
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author | Seo, Minseok Lee, Hyun-Jeong Kim, Kwondo Caetano-Anolles, Kelsey Jeong, Jin Young Park, Sungkwon Oh, Young Kyun Cho, Seoae Kim, Heebal |
author_facet | Seo, Minseok Lee, Hyun-Jeong Kim, Kwondo Caetano-Anolles, Kelsey Jeong, Jin Young Park, Sungkwon Oh, Young Kyun Cho, Seoae Kim, Heebal |
author_sort | Seo, Minseok |
collection | PubMed |
description | Although the chemical, physical, and nutritional properties of bovine milk have been extensively studied, only a few studies have attempted to characterize milk-synthesizing genes using RNA-seq data. RNA-seq data was collected from 21 Holstein samples, along with group information about milk production ability; milk yield; and protein, fat, and solid contents. Meta-analysis was employed in order to generally characterize genes related to milk production. In addition, we attempted to investigate the relationship between milk related traits, parity, and lactation period. We observed that milk fat is highly correlated with lactation period; this result indicates that this effect should be considered in the model in order to accurately detect milk production related genes. By employing our developed model, 271 genes were significantly (false discovery rate [FDR] adjusted p-value<0.1) detected as milk production related differentially expressed genes. Of these genes, five (albumin, nitric oxide synthase 3, RNA-binding region (RNP1, RRM) containing 3, secreted and transmembrane 1, and serine palmitoyltransferase, small subunit B) were technically validated using quantitative real-time polymerase chain reaction (qRT-PCR) in order to check the accuracy of RNA-seq analysis. Finally, 83 gene ontology biological processes including several blood vessel and mammary gland development related terms, were significantly detected using DAVID gene-set enrichment analysis. From these results, we observed that detected milk production related genes are highly enriched in the circulation system process and mammary gland related biological functions. In addition, we observed that detected genes including caveolin 1, mammary serum amyloid A3.2, lingual antimicrobial peptide, cathelicidin 4 (CATHL4), cathelicidin 6 (CATHL6) have been reported in other species as milk production related gene. For this reason, we concluded that our detected 271 genes would be strong candidates for determining milk production. |
format | Online Article Text |
id | pubmed-4811784 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2016 |
publisher | Asian-Australasian Association of Animal Production Societies (AAAP) and Korean Society of Animal Science and Technology (KSAST) |
record_format | MEDLINE/PubMed |
spelling | pubmed-48117842016-04-05 Characterizing Milk Production Related Genes in Holstein Using RNA-seq Seo, Minseok Lee, Hyun-Jeong Kim, Kwondo Caetano-Anolles, Kelsey Jeong, Jin Young Park, Sungkwon Oh, Young Kyun Cho, Seoae Kim, Heebal Asian-Australas J Anim Sci Article Although the chemical, physical, and nutritional properties of bovine milk have been extensively studied, only a few studies have attempted to characterize milk-synthesizing genes using RNA-seq data. RNA-seq data was collected from 21 Holstein samples, along with group information about milk production ability; milk yield; and protein, fat, and solid contents. Meta-analysis was employed in order to generally characterize genes related to milk production. In addition, we attempted to investigate the relationship between milk related traits, parity, and lactation period. We observed that milk fat is highly correlated with lactation period; this result indicates that this effect should be considered in the model in order to accurately detect milk production related genes. By employing our developed model, 271 genes were significantly (false discovery rate [FDR] adjusted p-value<0.1) detected as milk production related differentially expressed genes. Of these genes, five (albumin, nitric oxide synthase 3, RNA-binding region (RNP1, RRM) containing 3, secreted and transmembrane 1, and serine palmitoyltransferase, small subunit B) were technically validated using quantitative real-time polymerase chain reaction (qRT-PCR) in order to check the accuracy of RNA-seq analysis. Finally, 83 gene ontology biological processes including several blood vessel and mammary gland development related terms, were significantly detected using DAVID gene-set enrichment analysis. From these results, we observed that detected milk production related genes are highly enriched in the circulation system process and mammary gland related biological functions. In addition, we observed that detected genes including caveolin 1, mammary serum amyloid A3.2, lingual antimicrobial peptide, cathelicidin 4 (CATHL4), cathelicidin 6 (CATHL6) have been reported in other species as milk production related gene. For this reason, we concluded that our detected 271 genes would be strong candidates for determining milk production. Asian-Australasian Association of Animal Production Societies (AAAP) and Korean Society of Animal Science and Technology (KSAST) 2016-03 2016-02-24 /pmc/articles/PMC4811784/ /pubmed/26950864 http://dx.doi.org/10.5713/ajas.15.0525 Text en Copyright © 2016 by Asian-Australasian Journal of Animal Sciences This is an Open Access article distributed under the terms of the Creative Commons Attribution Non-Commercial License http://creativecommons.org/licenses/by-nc/3.0/ which permits unrestricted noncommercial use, distribution, and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Article Seo, Minseok Lee, Hyun-Jeong Kim, Kwondo Caetano-Anolles, Kelsey Jeong, Jin Young Park, Sungkwon Oh, Young Kyun Cho, Seoae Kim, Heebal Characterizing Milk Production Related Genes in Holstein Using RNA-seq |
title | Characterizing Milk Production Related Genes in Holstein Using RNA-seq |
title_full | Characterizing Milk Production Related Genes in Holstein Using RNA-seq |
title_fullStr | Characterizing Milk Production Related Genes in Holstein Using RNA-seq |
title_full_unstemmed | Characterizing Milk Production Related Genes in Holstein Using RNA-seq |
title_short | Characterizing Milk Production Related Genes in Holstein Using RNA-seq |
title_sort | characterizing milk production related genes in holstein using rna-seq |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4811784/ https://www.ncbi.nlm.nih.gov/pubmed/26950864 http://dx.doi.org/10.5713/ajas.15.0525 |
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