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This work was funded by the grants RTI-2018-096487-R-C33 from the Ministerio de Ciencia, Innovacion y Universidades, Spain; CSIC (2022AEP004), Spain; and Fondos FEDER. E.L.R.-P. is supported by an FPI grant PRE2019-090087 from the Ministerio de Ciencia, Innovacion y Universidades.

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Calvo, Jorge HAuthor

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August 13, 2025
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The influence of vaginal microbiota on ewe fertility: a metagenomic and functional genomic approach

Publicated to:Microbiome. 13 (1): 177- - 2025-08-01 13(1), DOI: 10.1186/s40168-025-02165-z

Authors: Reinoso-Pelaez, Edgar L; Saura, Maria; Gonzalez, Carmen; Ramon, Manuel; Calvo, Jorge H; Serrano, Magdalena

Affiliations

CSIC, Inst Nacl Invest & Tecnol Agr & Alimentaria INIA, Ctra Coruna,Km 7-5, Madrid 28040, Spain - Author
Ctr Invest & Tecnol Agroalimentaria Aragon CITA, ARAID, IA2, Av Montanana 930, Zaragoza 50059, Spain - Author
Inst Invest Marinas Punta Betin, Rua Eduardo Cabello 6, Vigo 36208, Spain - Author
Univ Politecn Madrid, Escuela Tecn Super Ingn Agron Alimentaria & Biosis, Madrid, Spain - Author

Abstract

Background Despite advancements in artificial insemination, sheep fertility rates remain suboptimal. Recent studies in other species highlight the critical role of reproductive microbiota in influencing fertility outcomes. This research explores the relationship between ovine vaginal microbiota, associated functional pathways, and fertility using advanced nanopore long-reading metagenomic sequencing on 297 ewes from three Spanish breeds across four herds. The study aimed to describe a core vaginal microbiota, analyse the complex interactions with herd, breed, age, and parity factors, and identify taxa and genes associated with reproductive success by artificial insemination. Results The study identified Staphylococcus, Escherichia, and Histophilus as the most abundant genera. Microbial communities varied considerably between breeds and herds, with high predictive accuracy (> 90%) in classification models. Differential abundance analysis revealed that the genera Histophilus, Fusobacterium, Bacteroides, Campylobacter, Streptobacillus, Gemella, Peptoniphilus, Helococcus, Treponema, Tissierella, and Phocaeicola were more abundant in non-pregnant ewes. Some of these taxa were also associated with four COG entries and one KEGG orthologue significantly linked to non-pregnancy, primarily involving carbohydrate metabolism, defence mechanisms, and structural resilience. Age and parity were also associated with microbiota composition, particularly in ewes older than five years or with more than three parturitions, suggesting that cumulative physiological changes may contribute to microbial shifts over time. Conclusions The ewe's vaginal microbiome appears to be mainly influenced by both herd and breed, though distinguishing genetic from environmental factors is challenging within our study design. While the overall microbiota showed a subtle effect on pregnancy, certain genera had a significant negative impact, likely due to pathogenic or inflammatory properties that disrupt reproductive health. The metagenomic approach used here enabled not only comprehensive taxonomic classification but also detailed functional analysis, providing deeper insights into the microbiome's role in reproductive outcomes.

Keywords

Aprendizaje automáticoArtificial inseminationAssociationBacterialCommunitiesFertilidadFertilityGenómicaInseminación artificialMetagenomicsMetritisMicrobiomasMicrobiomeMicrobiome-wide predictioOvineOvinosRandom forestReproducción animalReproductive successTractVaginal microbiotaWome

Quality index

Bibliometric impact. Analysis of the contribution and dissemination channel

The work has been published in the journal Microbiome due to its progression and the good impact it has achieved in recent years, according to the agency WoS (JCR), it has become a reference in its field. In the year of publication of the work, 2025, it was in position 8/163, thus managing to position itself as a Q1 (Primer Cuartil), in the category Microbiology. Notably, the journal is positioned above the 90th percentile.

Impact and social visibility

From the perspective of influence or social adoption, and based on metrics associated with mentions and interactions provided by agencies specializing in calculating the so-called "Alternative or Social Metrics," we can highlight as of 2025-08-15:

  • The use, from an academic perspective evidenced by the Altmetric agency indicator referring to aggregations made by the personal bibliographic manager Mendeley, gives us a total of: 3.

With a more dissemination-oriented intent and targeting more general audiences, we can observe other more global scores such as:

  • The Total Score from Altmetric: 1.25.
  • The number of mentions on the social network X (formerly Twitter): 1 (Altmetric).

It is essential to present evidence supporting full alignment with institutional principles and guidelines on Open Science and the Conservation and Dissemination of Intellectual Heritage. A clear example of this is: