Genetic merit for fertility alters the bovine uterine luminal fluid proteome†.


Journal

Biology of reproduction
ISSN: 1529-7268
Titre abrégé: Biol Reprod
Pays: United States
ID NLM: 0207224

Informations de publication

Date de publication:
13 03 2020
Historique:
received: 30 08 2019
revised: 31 10 2019
accepted: 25 11 2019
pubmed: 2 12 2019
medline: 21 8 2021
entrez: 2 12 2019
Statut: ppublish

Résumé

Over the last decades, fertility of dairy cows has declined due to selection strategies focusing on milk yield. To study the effect of genetic merit for fertility on the proteome of the bovine uterine luminal fluid, Holstein heifers with low- and two groups of heifers with high-fertility index (high-fertility Holstein and Montbéliarde) were investigated. To focus on the maternal effect, heifers from all groups were synchronized and received on Day 7 high-quality embryos. Uterine luminal fluid from Day 19 pregnant heifers was analyzed in a holistic proteomic approach using nano-LC-MS/MS analysis combined with a label-free quantification approach. In total, 1737 proteins were identified, of which 597 differed significantly in abundance between the three groups. The vast majority of proteome differences was found comparing both high-fertility groups to the low-fertility Holstein group, showing that the genetic predisposition for fertility is prevalent regarding the uterine luminal fluid proteome. Evaluation of this dataset using bioinformatic tools revealed an assignment of higher abundant proteins in low-fertility Holstein to several metabolic processes, such as vitamin metabolic process, which comprises folate receptor alpha (FOLR1) and retinol-binding protein, indicating an involvement of disturbed metabolic processes in decreased fertility. Moreover, immune system-related proteins - lactotransferrin and chromogranin A - were enriched in low-fertility cows together with interferon tau 3 h and interferon tau-2. Our results indicate that the genetic merit for fertility leads to substantial quantitative differences at the level of proteins in uterine fluid of pregnant animals, thus altering the microenvironment for the early conceptus.

Identifiants

pubmed: 31786596
pii: 5648125
doi: 10.1093/biolre/ioz216
doi:

Substances chimiques

Chromogranin A 0
Folate Receptor 1 0
Proteome 0
Lactoferrin EC 3.4.21.-

Types de publication

Journal Article Research Support, Non-U.S. Gov't

Langues

eng

Sous-ensembles de citation

IM

Pagination

730-739

Informations de copyright

© The Author(s) 2019. Published by Oxford University Press on behalf of Society for the Study of Reproduction. All rights reserved. For permissions, please e-mail: journals.permissions@oup.com.

Auteurs

Katrin Gegenfurtner (K)

Laboratory for Functional Genome Analysis, Gene Center, Ludwig-Maximilians-Universität München, Munich, Germany, Munich, Germany.

Thomas Fröhlich (T)

Laboratory for Functional Genome Analysis, Gene Center, Ludwig-Maximilians-Universität München, Munich, Germany, Munich, Germany.

Florian Flenkenthaler (F)

Laboratory for Functional Genome Analysis, Gene Center, Ludwig-Maximilians-Universität München, Munich, Germany, Munich, Germany.

Miwako Kösters (M)

Laboratory for Functional Genome Analysis, Gene Center, Ludwig-Maximilians-Universität München, Munich, Germany, Munich, Germany.

Sébastien Fritz (S)

Allice, Station de Phénotypage, Paris, France.

Olivier Desnoës (O)

Allice, Station de Phénotypage, Paris, France.

Daniel Le Bourhis (D)

Allice, Station de Phénotypage, Paris, France.

Pascal Salvetti (P)

Allice, Station de Phénotypage, Paris, France.

Olivier Sandra (O)

Unités Mixtes de Recherche Biologie du Développement et Reproduction, Institut National de Recherche Agronomique (INRA), Environment and Agronomy (ENVA), Université Paris Saclay, Jouy en Josas, France.

Gilles Charpigny (G)

Unités Mixtes de Recherche Biologie du Développement et Reproduction, Institut National de Recherche Agronomique (INRA), Environment and Agronomy (ENVA), Université Paris Saclay, Jouy en Josas, France.

Pascal Mermillod (P)

Institut National de Recherche Agronomique, UMR7247, Physiologie de la Reproduction et des Comportements, Nouzilly, France.

Patrick Lonergan (P)

School of Agriculture and Food Science, University College Dublin, Belfield, Dublin 4, Ireland.

Eckhard Wolf (E)

Laboratory for Functional Genome Analysis, Gene Center, Ludwig-Maximilians-Universität München, Munich, Germany, Munich, Germany.
Chair for Molecular Animal Breeding and Biotechnology, Gene Center and Department of Veterinary Sciences, Ludwig-Maximilians-Universität München, Munich Germany.

Georg J Arnold (GJ)

Laboratory for Functional Genome Analysis, Gene Center, Ludwig-Maximilians-Universität München, Munich, Germany, Munich, Germany.

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Classifications MeSH