Cargando…

Transcriptomics of liver and muscle in Holstein cows genetically divergent for fertility highlight differences in nutrient partitioning and inflammation processes

BACKGROUND: The transition between pregnancy and lactation is a major physiological change for dairy cows. Complex systemic and local processes involving regulation of energy balance, galactopoiesis, utilisation of body reserves, insulin resistance, resumption of oestrous cyclicity and involution of...

Descripción completa

Detalles Bibliográficos
Autores principales: Moran, Bruce, Cummins, Sean B., Creevey, Christopher J., Butler, Stephen T.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2016
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4982134/
https://www.ncbi.nlm.nih.gov/pubmed/27514375
http://dx.doi.org/10.1186/s12864-016-2938-1
_version_ 1782447720828502016
author Moran, Bruce
Cummins, Sean B.
Creevey, Christopher J.
Butler, Stephen T.
author_facet Moran, Bruce
Cummins, Sean B.
Creevey, Christopher J.
Butler, Stephen T.
author_sort Moran, Bruce
collection PubMed
description BACKGROUND: The transition between pregnancy and lactation is a major physiological change for dairy cows. Complex systemic and local processes involving regulation of energy balance, galactopoiesis, utilisation of body reserves, insulin resistance, resumption of oestrous cyclicity and involution of the uterus can affect animal productivity and hence farm profitability. Here we used an established Holstein dairy cow model of fertility that displayed genetic and phenotypic divergence in calving interval. Cows had similar genetic merit for milk production traits, but either very good genetic merit for fertility traits (‘Fert+’; n = 8) or very poor genetic merit for fertility traits (‘Fert-’; n = 8). We used RNA sequencing to investigate gene expression profiles in both liver and muscle tissue biopsies at three distinct time-points: late pregnancy, early lactation and mid lactation (-18, 1 and 147 days relative to parturition, respectively). RESULTS: We found 807 and 815 unique genes to be differentially expressed in at least one time-point in liver and muscle respectively, of which 79 % and 83 % were only found in a single time-point; 40 and 41 genes were found differentially expressed at every time-point indicating possible systemic or chronic dysregulation. Functional annotation of all differentially expressed genes highlighted two physiological processes that were impacted at every time-point in the study, These were immune and inflammation, and metabolic, lipid and carbohydrate-binding. CONCLUSION: These pathways have previously been identified by other researchers. We show that several specific genes which are differentially regulated, including IGF-1, might impact dairy fertility. We postulate that an increased burden of reactive oxidation species, coupled with a chronic inflammatory state, might reduce dairy cow fertility in our model. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (doi:10.1186/s12864-016-2938-1) contains supplementary material, which is available to authorized users.
format Online
Article
Text
id pubmed-4982134
institution National Center for Biotechnology Information
language English
publishDate 2016
publisher BioMed Central
record_format MEDLINE/PubMed
spelling pubmed-49821342016-08-13 Transcriptomics of liver and muscle in Holstein cows genetically divergent for fertility highlight differences in nutrient partitioning and inflammation processes Moran, Bruce Cummins, Sean B. Creevey, Christopher J. Butler, Stephen T. BMC Genomics Research Article BACKGROUND: The transition between pregnancy and lactation is a major physiological change for dairy cows. Complex systemic and local processes involving regulation of energy balance, galactopoiesis, utilisation of body reserves, insulin resistance, resumption of oestrous cyclicity and involution of the uterus can affect animal productivity and hence farm profitability. Here we used an established Holstein dairy cow model of fertility that displayed genetic and phenotypic divergence in calving interval. Cows had similar genetic merit for milk production traits, but either very good genetic merit for fertility traits (‘Fert+’; n = 8) or very poor genetic merit for fertility traits (‘Fert-’; n = 8). We used RNA sequencing to investigate gene expression profiles in both liver and muscle tissue biopsies at three distinct time-points: late pregnancy, early lactation and mid lactation (-18, 1 and 147 days relative to parturition, respectively). RESULTS: We found 807 and 815 unique genes to be differentially expressed in at least one time-point in liver and muscle respectively, of which 79 % and 83 % were only found in a single time-point; 40 and 41 genes were found differentially expressed at every time-point indicating possible systemic or chronic dysregulation. Functional annotation of all differentially expressed genes highlighted two physiological processes that were impacted at every time-point in the study, These were immune and inflammation, and metabolic, lipid and carbohydrate-binding. CONCLUSION: These pathways have previously been identified by other researchers. We show that several specific genes which are differentially regulated, including IGF-1, might impact dairy fertility. We postulate that an increased burden of reactive oxidation species, coupled with a chronic inflammatory state, might reduce dairy cow fertility in our model. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (doi:10.1186/s12864-016-2938-1) contains supplementary material, which is available to authorized users. BioMed Central 2016-08-11 /pmc/articles/PMC4982134/ /pubmed/27514375 http://dx.doi.org/10.1186/s12864-016-2938-1 Text en © The Author(s). 2016 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 Article
Moran, Bruce
Cummins, Sean B.
Creevey, Christopher J.
Butler, Stephen T.
Transcriptomics of liver and muscle in Holstein cows genetically divergent for fertility highlight differences in nutrient partitioning and inflammation processes
title Transcriptomics of liver and muscle in Holstein cows genetically divergent for fertility highlight differences in nutrient partitioning and inflammation processes
title_full Transcriptomics of liver and muscle in Holstein cows genetically divergent for fertility highlight differences in nutrient partitioning and inflammation processes
title_fullStr Transcriptomics of liver and muscle in Holstein cows genetically divergent for fertility highlight differences in nutrient partitioning and inflammation processes
title_full_unstemmed Transcriptomics of liver and muscle in Holstein cows genetically divergent for fertility highlight differences in nutrient partitioning and inflammation processes
title_short Transcriptomics of liver and muscle in Holstein cows genetically divergent for fertility highlight differences in nutrient partitioning and inflammation processes
title_sort transcriptomics of liver and muscle in holstein cows genetically divergent for fertility highlight differences in nutrient partitioning and inflammation processes
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4982134/
https://www.ncbi.nlm.nih.gov/pubmed/27514375
http://dx.doi.org/10.1186/s12864-016-2938-1
work_keys_str_mv AT moranbruce transcriptomicsofliverandmuscleinholsteincowsgeneticallydivergentforfertilityhighlightdifferencesinnutrientpartitioningandinflammationprocesses
AT cumminsseanb transcriptomicsofliverandmuscleinholsteincowsgeneticallydivergentforfertilityhighlightdifferencesinnutrientpartitioningandinflammationprocesses
AT creeveychristopherj transcriptomicsofliverandmuscleinholsteincowsgeneticallydivergentforfertilityhighlightdifferencesinnutrientpartitioningandinflammationprocesses
AT butlerstephent transcriptomicsofliverandmuscleinholsteincowsgeneticallydivergentforfertilityhighlightdifferencesinnutrientpartitioningandinflammationprocesses