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Breed and adaptive response modulate bovine peripheral blood cells’ transcriptome

BACKGROUND: Adaptive response includes a variety of physiological modifications to face changes in external or internal conditions and adapt to a new situation. The acute phase proteins (APPs) are reactants synthesized against environmental stimuli like stress, infection, inflammation. METHODS: To d...

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Autores principales: Pošćić, Nataliya, Montanari, Tommaso, D’Andrea, Mariasilvia, Licastro, Danilo, Pilla, Fabio, Ajmone-Marsan, Paolo, Minuti, Andrea, Sgorlon, Sandy
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2017
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5264304/
https://www.ncbi.nlm.nih.gov/pubmed/28149510
http://dx.doi.org/10.1186/s40104-017-0143-y
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author Pošćić, Nataliya
Montanari, Tommaso
D’Andrea, Mariasilvia
Licastro, Danilo
Pilla, Fabio
Ajmone-Marsan, Paolo
Minuti, Andrea
Sgorlon, Sandy
author_facet Pošćić, Nataliya
Montanari, Tommaso
D’Andrea, Mariasilvia
Licastro, Danilo
Pilla, Fabio
Ajmone-Marsan, Paolo
Minuti, Andrea
Sgorlon, Sandy
author_sort Pošćić, Nataliya
collection PubMed
description BACKGROUND: Adaptive response includes a variety of physiological modifications to face changes in external or internal conditions and adapt to a new situation. The acute phase proteins (APPs) are reactants synthesized against environmental stimuli like stress, infection, inflammation. METHODS: To delineate the differences in molecular constituents of adaptive response to the environment we performed the whole-blood transcriptome analysis in Italian Holstein (IH) and Italian Simmental (IS) breeds. For this, 663 IH and IS cows from six commercial farms were clustered according to the blood level of APPs. Ten extreme individuals (five APP+ and APP- variants) from each farm were selected for the RNA-seq using the Illumina sequencing technology. Differentially expressed (DE) genes were analyzed using dynamic impact approach (DIA) and DAVID annotation clustering. Milk production data were statistically elaborated to assess the association of APP+ and APP- gene expression patterns with variations in milk parameters. RESULTS: The overall de novo assembly of cDNA sequence data generated 13,665 genes expressed in bovine blood cells. Comparative genomic analysis revealed 1,152 DE genes in the comparison of all APP+ vs. all APP- variants; 531 and 217 DE genes specific for IH and IS comparison respectively. In all comparisons overexpressed genes were more represented than underexpressed ones. DAVID analysis revealed 369 DE genes across breeds, 173 and 73 DE genes in IH and IS comparison respectively. Among the most impacted pathways for both breeds were vitamin B6 metabolism, folate biosynthesis, nitrogen metabolism and linoleic acid metabolism. CONCLUSIONS: Both DIA and DAVID approaches produced a high number of significantly impacted genes and pathways with a narrow connection to adaptive response in cows with high level of blood APPs. A similar variation in gene expression and impacted pathways between APP+ and APP- variants was found between two studied breeds. Such similarity was also confirmed by annotation clustering of the DE genes. However, IH breed showed higher and more differentiated impacts compared to IS breed and such particular features in the IH adaptive response could be explained by its higher metabolic activity. Variations of milk production data were significantly associated with APP+ and APP- gene expression patterns. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (doi:10.1186/s40104-017-0143-y) contains supplementary material, which is available to authorized users.
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spelling pubmed-52643042017-02-01 Breed and adaptive response modulate bovine peripheral blood cells’ transcriptome Pošćić, Nataliya Montanari, Tommaso D’Andrea, Mariasilvia Licastro, Danilo Pilla, Fabio Ajmone-Marsan, Paolo Minuti, Andrea Sgorlon, Sandy J Anim Sci Biotechnol Research BACKGROUND: Adaptive response includes a variety of physiological modifications to face changes in external or internal conditions and adapt to a new situation. The acute phase proteins (APPs) are reactants synthesized against environmental stimuli like stress, infection, inflammation. METHODS: To delineate the differences in molecular constituents of adaptive response to the environment we performed the whole-blood transcriptome analysis in Italian Holstein (IH) and Italian Simmental (IS) breeds. For this, 663 IH and IS cows from six commercial farms were clustered according to the blood level of APPs. Ten extreme individuals (five APP+ and APP- variants) from each farm were selected for the RNA-seq using the Illumina sequencing technology. Differentially expressed (DE) genes were analyzed using dynamic impact approach (DIA) and DAVID annotation clustering. Milk production data were statistically elaborated to assess the association of APP+ and APP- gene expression patterns with variations in milk parameters. RESULTS: The overall de novo assembly of cDNA sequence data generated 13,665 genes expressed in bovine blood cells. Comparative genomic analysis revealed 1,152 DE genes in the comparison of all APP+ vs. all APP- variants; 531 and 217 DE genes specific for IH and IS comparison respectively. In all comparisons overexpressed genes were more represented than underexpressed ones. DAVID analysis revealed 369 DE genes across breeds, 173 and 73 DE genes in IH and IS comparison respectively. Among the most impacted pathways for both breeds were vitamin B6 metabolism, folate biosynthesis, nitrogen metabolism and linoleic acid metabolism. CONCLUSIONS: Both DIA and DAVID approaches produced a high number of significantly impacted genes and pathways with a narrow connection to adaptive response in cows with high level of blood APPs. A similar variation in gene expression and impacted pathways between APP+ and APP- variants was found between two studied breeds. Such similarity was also confirmed by annotation clustering of the DE genes. However, IH breed showed higher and more differentiated impacts compared to IS breed and such particular features in the IH adaptive response could be explained by its higher metabolic activity. Variations of milk production data were significantly associated with APP+ and APP- gene expression patterns. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (doi:10.1186/s40104-017-0143-y) contains supplementary material, which is available to authorized users. BioMed Central 2017-01-25 /pmc/articles/PMC5264304/ /pubmed/28149510 http://dx.doi.org/10.1186/s40104-017-0143-y Text en © The Author(s). 2017 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
Pošćić, Nataliya
Montanari, Tommaso
D’Andrea, Mariasilvia
Licastro, Danilo
Pilla, Fabio
Ajmone-Marsan, Paolo
Minuti, Andrea
Sgorlon, Sandy
Breed and adaptive response modulate bovine peripheral blood cells’ transcriptome
title Breed and adaptive response modulate bovine peripheral blood cells’ transcriptome
title_full Breed and adaptive response modulate bovine peripheral blood cells’ transcriptome
title_fullStr Breed and adaptive response modulate bovine peripheral blood cells’ transcriptome
title_full_unstemmed Breed and adaptive response modulate bovine peripheral blood cells’ transcriptome
title_short Breed and adaptive response modulate bovine peripheral blood cells’ transcriptome
title_sort breed and adaptive response modulate bovine peripheral blood cells’ transcriptome
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5264304/
https://www.ncbi.nlm.nih.gov/pubmed/28149510
http://dx.doi.org/10.1186/s40104-017-0143-y
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