1 CONTACT Réjean Lefebvre Rejean.Lefebvre@umontreal.ca © 2025 The Author(s). This is an Open Access article distributed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http:// creativecommons.org/licenses/by-nc/4.0/), permitting all noncommercial use, distribution, and reproduction in any medium, provided the original work is properly cited. Citation line: Clinical Theriogenology 2025, 17, 10988, http://dx.doi.org/10.58292/CT.v17.10988 Research Report Prepartum vaginal microbiota and postpartum uterine microbiota in cows Ali Bazzazan,a Marcio Costa,b Mariela Segura,c Réjean Lefebvrea aDepartment of Clinical Sciences, Faculty of Veterinary Medicine, University of Montréal, Saint-Hyacinthe, Quebec, Canada bDepartment of Biomedical Sciences, Faculty of Veterinary Medicine, University of Montréal, Saint-Hyacinthe, Quebec, Canada cResearch Group on Infectious Diseases in Production Animals, and Swine and Poultry Infectious Diseases Research Centre, Faculty of Veterinary Medicine, University of Montréal, Saint-Hyacinthe, Quebec, Canada Abstract Postpartum uterus clears bacteria within 6 weeks; however, up to 40% of dairy cows cannot eliminate uterine infection. Culture- independent approaches based on the analysis of the 16S rRNA gene indentified reduced richness and diversity in the reproductive tract of cows with endometritis. Goal was to characterize the vaginal microbiota before calving and the uterine microbiota after calv- ing in cows that had or not developed endometritis. We compared the results of DNA sequencing with conventional culture methods in uterine samples collected 21 days after calving. Vaginal samples (via cytobrush) from multiparous cows (n = 61) were obtained 1 week before calving (-1w) and uterine samples 1 week (+1w), 3 weeks (+3w), and 5 weeks (+5w) after calving. Samples of healthy cows (n = 11) and cows with endometritis (n = 11) were selected for DNA extraction and 16S rRNA sequencing. Richness and diversity measures in the uterine microbiota were not different between healthy and diseased groups (Chao p = 0.17, Simpson p = 0.29) at -1w, +1w and +5w. Uterine microbiota composition differed (p = 0.03) between groups only at 3 weeks after calving. Diseased cows had a lower relative abundance of Firmicutes and Bacteroidetes and a higher abundance of Actinobacteria than healthy cows. Bacteria that grew in culture were often represented within the most abundant bacterial genera in the DNA sequencing 3 weeks after calving. Keywords: Microbiota, dairy cows, vagina, uterus Introduction Approximately 95% of cows have some degree of uterine con- tamination with bacteria and inflammation after calving, regardless of signs of disease.1,2 Loss of anatomical barriers and the negative pressure created uterine contraction and relaxation enhance the vacuum effect and bacterial ascent to the uterus, allowing rapid colonization within minutes.3,4 There is also evidence that bacteria could reach the uterus through blood circulation.5 Gram-negative bacteria dominate during the first week after calving, gradually replaced by gram-positive organisms by day 15 postpartum, when 78% of cows still have bacteria in the uterus.6 During normal uterine involution, the uterus clears bacteria at week 6 after calving;7 however, up to 40% of dairy cows cannot eliminate infection.8 Persistence of pathogenic bacteria in the uterus is associated with delayed uterine involution, postpartum uterine diseases (PUDs), and reduced reproductive efficiency.9-11 Based on culture-dependent studies, most common bacteria involved in PUDs are Trueperella pyogenes (T. pyogenes), Escherichia coli (E. coli), Fusobacterium necrophorum, Prevotella melaninogenica, and Bacteroides spp.12,13 Culture-independent approaches based on the analysis of 16S rRNA gene (the most conserved ribosomal RNA among bacteria and has the most variability between species) have indentified that dairy cows with PUDs had distinct microbial profiles and  reduced richness and diversity compared to healthy cows.14-18 Nonconventional pathogens have also been iden- tified by  DNA sequencing, such as species of Bacteroides and  Helcococcus. In contrast, other bacteria normally associated  with diseases, such as E. coli, Mycoplasma and Ureaplasma, were abundant in healthy postpartum cows.19 It remains  unclear whether changes in the normal composi- tion of the uterine microbiota (dysbiosis) are associated with PUDs.20 mailto:Rejean.Lefebvre@umontreal.ca http://creativecommons.org/licenses/by-nc/4.0/ http://creativecommons.org/licenses/by-nc/4.0/ http://dx.doi.org/10.58292/CT.v17.10988 2 Citation line: Clinical Theriogenology 2025, 17, 10988, http://dx.doi.org/10.58292/CT.v17.10988 Most studies investigating PUDs in dairy cows have focused on the early postpartum period before the completion of uter- ine involution and the reestablishment of a complete parti- tioning of the reproductive tract.21 Vaginal microbiota is a potential source of uterine contamination after calving and needs to be investigated and understood.22 We hypothesized that prepartum vaginal microbiota and the uterine microbiota in postpartum cows differ between healthy and diseased dairy cows. Objective was to use DNA sequenc- ing to characterize bacterial communities in the genital tract of healthy dairy cows during the peripartum period and make associations with clinical endometritis. We compared the uter- ine bacteria obtained by conventional culture methods with the microbiota profile of DNA sequencing from samples col- lected 3 weeks after calving. Materials and methods Animals and management This research was conducted in compliance with the exper- imental practices and standards approved by the Animal Care Committee of the University of Montréal (#211-03) in compliance with the Canadian Council of Animal Care Guidelines. Three commercial dairy herds in the same region of Quebec (Canada) were recruited, and multiparous cows (n = 61) were included in the study between June 2016 and February 2017. Reproductive and health data were compiled in a databank using health record management software (DSAHR, Saint- Hyacinthe, Quebec, Canada J2S 3A5). Rolling herd average milk production for the 3 herds was 9,000 kg. All farms had a tied-stall barn system. Cows were milked twice daily and fed a total mixed ration formulated mainly with corn and hay silage to meet the dietary requirements for the various stages of lac- tation (NRC, 2011). Farms were visited weekly by the same veterinarians and cows were vaccinated twice (days 40 and 26 before parturi- tion) with 2 ml intramuscular E. coli (J-VAC, Merial Inc., Athens, GA, USA) vaccine and once (days 15-40 after calv- ing) with 2 ml intramuscular bovine viral diarrhea virus, types 1 and 2, infectious bovine rhinotracheitis, PI-3, and bovine respiratory syncytial virus (Bovi-Shield GOLD FPTM 5 L5, Zoetis, Parsippany, New Jersey 07054, USA) vaccine, and injected with 5 ml selenium (MU-SE, Intervet Canada Corp., Kirkland, Quebec, Canada H9H 4M7) 60 days before calving. Sampling and experimental design Based on the predicted date of calving (DSAHR software), cows were examined 1 week before calving (-1w), then 1 (+1w), 3 (+3w), and 5 weeks (+5w) after calving (Figure 1). Examinations included an assessment of lameness, cyclicity (presence of a corpus luteum) via transrectal and ultrasono- graphic examinations, body condition, and milk somatic cell count. Blood samples were collected for hematologic profile; visual vaginal discharge23 and cervical appearance24 were also performed. Before calving, transrectal examination was per- formed to confirm pregnancy. It involved the assessment of placentomes, fetus viability, and uterine artery (fremitus). In addition, a vaginal (fornix) cytobrush sample was collected 1 week before calving and endometrial cytobrush samples were collected at 1, 3, and 5 weeks after calving. After cleaning cow’s perineal area with soap and water, 70% isopropyl alcohol was sprayed and dried using paper towels. Visual cervical assess- ment was via vaginal speculum examination before a sterile cytobrush rod (covered with 2 sterile sanitary sheaths) was introduced into the vagina and guided through the cervix per rectum.25 Once the tip of the rod reached cervical opening and uterine body, first and second sanitary sheaths were pulled back, respectively, and the cytobrush was pushed out of the rod and rotated against the dorsal wall of the uterine body with gen- tle pressure of the index finger through the rectum. Cytobrush was retracted into the rod and each sanitary sheath before removed from the cervix and the vagina, respectively. Once out- side the genital tract, the cytobrush was gently rolled onto a ster- ilized microscope slide. The cytobrush was then cut with sterile scissors, placed in a sterile 2 ml cryovial, and stored at −80°C within 5 minutes. For the sampling at +3w, an additional uter- ine cytobrush sample was collected and transferred into a tube containing an anaerobic transport medium (BBL Culture Swab, BD, Mississauga, ON, Canada), placed on ice and processed in the bacteriology laboratory within 2 hours after collection. Cytology slides were stained using the May-Grunwald-Giemsa stain, 300 cells (neutrophils and endometrial cells) were counted per slide in multiple fields by one person and the number of polymorphonuclear neutrophils  (PMNs) was assessed. Cows were not enrolled in a systematic synchroniza- tion protocol, and reproductive data from cows were collected for at least 300 days after calving. Case definition No antibiotic was used before and during the sampling period. From the 61 cows, diseased cows (n = 11) were identified Figure 1. Timeline of sampling and genital examination of prepartum and postpartum dairy cows (n = 22) from 3 dairy herds in Quebec (Fx; fornix, Ut; Uterine mucus) http://dx.doi.org/10.58292/CT.v17.10988 Citation line: Clinical Theriogenology 2025, 17, 10988, http://dx.doi.org/10.58292/CT.v17.10988 3 based on 2 criteria at 5 weeks after calving: 1. positive clinical endometritis; cows with purulent vaginal discharge (PVD) of grade ≥ 223 and 2. positive subclinical endometritis; cows with > 5% polymorphonuclear neutrophils (PMNs) on uterine endometrial cytology (number of PMNs/number of total cells.26 Control animals (n = 11) were characterized by the absence of all criteria (PVD < 2 and PMNs < 5%). DNA extraction, 16S rRNA gene sequencing Cytobrushes were stored at −80 °C after collection until DNA extraction. Frozen samples were dipped in 1 ml of phos- phate-buffered saline (PBS) and DNA was extracted from the suspension using the PowerSoil DNA extraction kit (Qiagen) according to the manufacturer’s protocol. The V4 region of the 16S rRNA gene was amplified by polymerase chain reaction (PCR) using the forward 515F (GTGCCAGCMGCCGCGGTAA) and reverse 806R (GGACTACHVGGGTWTCTAAT) primers and the following conditions: denaturing for 3 minutes at 94°C, followed by 35 cycles of 45 seconds at 94°C, 60 sec- onds at 50°C, and 90 seconds at 72°C, with a final elongation step of 72°C for 10 minutes. The PCR products were sequenced in an Illumina MiSeq platform using reagents for 2 x 250 cycles at the McGill University and Génome Québec Innovation Centre. The mothur software was used to perform the bioinformatic analysis.27 Contigs assembly was made from the original FASTQ files, excluding sequences longer than 300 bp, contain- ing ambiguities, and having polymers longer than 8 bp. Sequences were aligned using the SILVA 16S rRNA reference database and clustered at 97% similarity. Taxonomic classifi- cation was obtained using the Ribosomal Database Project. Richness (total number of species) was estimated by the Chao1 index, and diversity was measured by the Simpson index (number of species accounting for their evenness). For beta diversity, the Bray-Curtis dissimilarity index was used to compare community composition among samples. Uterine bacterial culture and identification Uterine cytobrush samples were collected at +3w for routine bacterial culture (aerobic and anaerobic) using standard methods for bacteriological testing (API system, bioMérieux, Marcy l’Etoile, France). Cytobrush samples were stored in a culture tube (BBL Culture Swab, BD, Mississauga, ON, Canada), placed on ice, and transported to the diagnostic lab- oratory of the Faculty of Veterinary Medicine within 2 hours. For microbiological analysis, the solution was plated onto sheep blood agar with a sterile disposable plastic eye (soy agar with 5% sheep blood, Becton, Dickinson and Co., Sparks, MD, USA). Plates were incubated for 48 hours at 35°C under aerobic conditions and then examined. When growth was observed, the number of colonies was graded as rare, 0 (1 col- ony), few, +1 (between 2-5 colonies), +2 (> 5 colonies), and +3 (> 5 colonies after dilution (1 in 2 dilution) whereas col- ony types were identified based on morphology, pigmenta- tion, and hemolytic patterns. Beta hemolytic, catalase-negative minuscule colonies demon- strating coliform gram-positive rods were identified as T. pyo- genes. They were isolated using the standard procedure used at the diagnostic laboratory of the Faculty of Veterinary Medicine (PON-BAC-019). The samples were plated on brucella agar containing neomycin (100 mg/ml) and incubated anaerobi- cally at 35°C for 5 days for culture of other bacterial species. When gram-negative rods were observed, colonies were exam- ined using the API 20 A gallery system to identify Fusobacterium necrophorum and Prevotella melaninogenica. For isolation of E. coli, cytobrush samples were plated on blood agar and MacConkey agar (Oxoid Inc., Ottawa, ON, Canada) at 37°C. At the reference laboratory for E. coli (EcL; Faculty of Veterinary Medicine, University of Montréal), 5 typical lactose-positive E. coli colonies from the MacConkey agar plates were streaked with blood agar for isolation and further identification. Isolates were submitted to 3 biochemical tests (indole spot, Simon’s citrate and motility) for confirmation of E. coli. Isolates of E. coli was stored in tryptic soy broth containing 30% glycerol at −80 °C (Becton, Dickinson and Co., Sparks, Maryland, USA). Collection and analysis of blood Blood samples were collected aseptically by coccygeal veni- puncture from 3 cows into collection tubes containing EDTA for hematology, including red blood cell count, hemoglobin concentration, packed cell volume, erythrocyte sedimentation rate, corpuscular volume, mean corpuscular hemoglobin, mean corpuscular hemoglobin concentration, total leukocytic count, and differential leukocytic count. Data analyses Downstream analyses were carried out in RStudio (version 3.6.3; R Core Team, Vienna, Austria) using the ggplot2, vegan, FactoMineR, dplyr, tidyverse, and phyloseq packages unless otherwise stated. Uterine and vaginal alpha diversity metrics were examined for normal distribution by Proc Univariate in RStudio. Repeated measures analysis of variance was per- formed on all alpha diversity indices, with fixed effects of the day, status, and their interaction with the cows. Differences in uterine bacterial composition were investigated according to disease presence and days after calving, and their outcomes were evaluated using a nonparametric multivariate analysis of variance (PERMANOVA) accounting for repeated measures. Linear discriminant analysis effect size (LEfSe) was used to describe the statistical significance and biological relevance among healthy and diseased cows at the genus level. The LEfSe was performed using the online Galaxy interface with uterine health status as the main class, DIM at sampling as the sub- class, and the cow as the subject, using an alpha of 0.05 and an effect size threshold of 3.5. Significance level was set for all statistical tests as p value < 0.05.28 Results Descriptive statistics The study population consisted of 85 cows, but an initial exclusion resulted in the removal of cows due to culling (n = 5), use of antimicrobials (n = 4), metabolic diseases (n = 5), and missing data (n = 10). A total of 61 cows ended the fol- low-up period without systemic illness (no dystocia, fetal membranes retention, and mastitis). DNA sequencing of vag- inal (prepartum) and uterine (postpartum) samples from 22 cows classified as healthy (n = 11; parity 1.7 ± 0.5 [mean ± SD], and BCS 2.8 ± 0.2) and diseased cows (n = 11; parity 1.9 ± 0.5 [mean ± SD], and BCS 2.7 ± 0.3) was performed. One healthy (9%) and 5 diseased (45%) cows had cervicitis Grade 2 at 5 weeks after calving and no significant hematological changes and somatic cell counts and cyclicity among cows were measured. http://dx.doi.org/10.58292/CT.v17.10988 4 Citation line: Clinical Theriogenology 2025, 17, 10988, http://dx.doi.org/10.58292/CT.v17.10988 Microbial community analyses A total of 9,480,588 paired-end reads were obtained, of which, 7,820,890 passed all quality control after bioinformatic anal- ysis. Results from the alpha diversity of microbiota of healthy and diseased cows from 1 week before calving to 5 weeks after calving are provided (Figure 2). Overall and at each sampling time, alpha diversity of the uterine microbiota was not differ- ent (Chao’s p value = 0.17, Simpson’s p value = 0.29) between healthy and diseased groups. The principal coordinate analysis addressing the microbial composition (beta diversity) revealed distinct microbiota profiles (p = 0.03) between healthy and diseased groups at 3 weeks after calving (Figure 3). No difference (p = 0.35) was observed for the other sampling times. Taxonomic composition The relative abundance of the most abundant phyla (Figure 4A) and genera (Figure 4B) are illustrated. According to taxonom- ical annotation, the most common bacterial phyla in the uter- ine microbiota in both groups of cows were Bacteroidetes, Firmicutes, Actinobacteria, Fusobacteria, Proteobacteria, and Tenericutes (Figure 4). During the postpartum period, cows with endometritis had a lesser relative abundance of Firmicutes Figure 2. Box plot of the distribution of Alpha diversity indices of healthy and diseased cows from 1 week before calving to 5 weeks after calving. Chao richness estimator (A) and the Simpson diversity index (B) of the uterine microbiota postpartum (n = 22). Healthy (red, n = 11) and diseased (blue, n = 11) cows were identified retrospectively on the vaginal discharge and the number of neutrophils on endometrial cytobrush. The bar inside the box marks the median. Alpha diversity for bacterial genera and phyla were similar between healthy and diseased cows. A repeated measures analysis was performed on all Alpha diversity, with fixed effects of the day, status, and their interaction with the cows. Bars represent SD (p ≤ 0.05). Healthy Diseased Healthy Diseased A B Figure 3. Beta diversity (principal coordinate analysis (Bray–Curtis) for bacteria phyla (A) and genera (B) at three weeks after calving A B http://dx.doi.org/10.58292/CT.v17.10988 Citation line: Clinical Theriogenology 2025, 17, 10988, http://dx.doi.org/10.58292/CT.v17.10988 5 and Bacteroidetes and a higher abundance of Actinobacteria than healthy cows. The number of unclassified bacteria was < 2% in all samplings. As per taxonomic assignment the dominant uterine bacterial genera were Bacteroides, Trueperella, Porphyromonas, Fusobacterium, Escherichia, Streptococcus, and Clostridium sensu stricto (Figure 5). At the genus level, diseased cows had a higher relative abundance of Bacteroides, Trueperella, Fusobacterium,  and Peptoniphilus than healthy cows at 3 weeks after calving. Diseased cows also had a higher relative abundance (p = 0.03) of Trueperella from 1 week before to 5 weeks after calving than healthy cows (Figure 6). Linear discriminant analysis effect size Diseased cows had discriminately higher abundances (LDA sores > 3.6) of Helcococcus, Peptoniphilus, and Trueperella than healthy cows at 3 weeks after calving (Figure 6). No significant differences between healthy and diseased cows were observed at the other samplings. Bacterial culture Gram-positive and gram-negative bacteria were cultured from the cytobrushes of healthy and diseased cows 3 weeks after calving. Most of the diseased cows had T. pyogenes in large amounts (9 out of 11, more than 5 colonies) and small amounts of E. coli (3 out of 11, 1 colony), Enterococcus (3 out of 11, 1 colony), and Streptococcus uberis (2 out of 11, 1 col- ony). Among healthy cows, only 4 out of 11 had a few colo- nies of Staphylococcus spp. (1 colony), Corynebacterium (1colony), and Bacillus spp. (1 colony). Discussion Objective of this study was to use DNA sequencing to investi- gate bacterial dynamics in prepartum vagina and in postpar- tum uterus of cows that remained healthy with those that developed endometritis during the transition period. Our results revealed that cows developing endometritis had dis- tinct profiles of the uterine microbiota 3 weeks after calving compared to cows that remained healthy. This suggested that Figure 4A. Color-coded bar plot showing the relative abundance of predominant bacteria at the phylum levels. Relative abun- dance of the most dominant bacterial phyla in dairy cows (n = 22) in samples collected 1 week before calving and 1 week, 3 weeks, and5 weeks after calving. Only the seven most common phyla are represented (98% of the reads). Based on their uterine health status in 5th week postpartum, cows were retrospectively selected and classified as healthy and diseased groups. Figure 4B. Relative abundance of predominant bacteria at the genus level. Samples were collected one week before and one, three and five weeks after calving. Only the 14 most common genera are represented. Based on their uterine health status in the 5th week postpartum, cows were retrospectively selected and classified as healthy and diseased groups. http://dx.doi.org/10.58292/CT.v17.10988 6 Citation line: Clinical Theriogenology 2025, 17, 10988, http://dx.doi.org/10.58292/CT.v17.10988 the uterine microbiota goes through early changes before clin- ical signs of the disease that could be used to predict cows at higher risk by using key bacterial markers. Our data also confirmed that known uterine pathogens are associated with clinical endometritis. Similar results were observed29 in the phylum and genera levels in cows with clin- ical and subclinical endometritis compared to healthy cows in equivalent times (days 10, 21, and 35 postpartum). In the present study, T. pyogenes was the most abundant bacteria in 9 of the 11 diseased cows by culture-dependent technique. Other studies observed that T. pyogenes was present in the uterus of most postpartum cows with endometritis using cul- ture-independent methods30 and culture-dependent meth- ods.31 Our results from sequencing of the 16S rRNA gene supported that cows with endometritis had an increased rela- tive abundance of Bacteroidetes and Actinobacteria at the phy- lum level, as well as Bacteroides  and  Trueperella  spp. at the genus level. Interestingly, bacteria that grew in culture often appeared within the most abundant bacteria in the16S rRNA gene sequencing. The culture-dependent results have identified sev- eral genera (E. coli, Enterococcus, Streptococcus uberis, Staphylococcus spp., Corynebacterium, and Bacillus spp.) in a very small number (1 colony). These bacteria are among the most common isolated intrauterine bacteria and have been described as potential or opportunistic pathogens18,32,33 Streptococci and Staphylococci were isolated in postpartum cows with a reduced risk of endometritis.12 Postpartum dairy cows with intrauterine a-hemolytic streptococci had improved reproductive performance.34 These bacteria may interact with recognized pathogenic members of the uterine microbiota to favor a healthy or diseased uterine cavity. In the present study, Romboutsia and other bacteria unclassified at the genus level were associated with a healthy uterine envi- ronment, suggesting that further studies searching for the markers capable of predicting the occurrence of diseases are justified. In addition, Truperella spp., Peptoniphilus and Helcococcus were significantly higher (LDA sores > 3.5) in the disease group compared to the healthy group at 3 weeks after calving (Figure 6). Intrauterine infusion of T. pyogenes in Holstein heifers has caused clinical endometritis.35 Many factors influ- ence bacterial pathogenicity, including bacterial load, the presence of virulence factors, and positive interactions among species.36 In fact, T. pyogenes has a synergic interaction with F. necrophorum and P. melaninogenica to support their growth and colonization of the uterine cavity around 3 weeks postpar- tum.36 As Helcococus and Peptoniphilis belong to the Fusobacterium cooccurrence group, they may act synergistically with T. pyogenes and facilitate the uterine dysbiosis observed 3 weeks after calving and increase the risk of clinical endometri- tis. This synergic interaction between Trueperella and the gram-negative anaerobes like Fusobacterium has been sug- gested as a mechanism to overcome uterine defence, culminat- ing with endometritis.9,33,36,37 A strong co-occurrence between obligate anaerobes like Peptoniphilus spp. in postpartum and more specifically, around 35 days after calving was also observed.29 In addition to the bacterial load and virulence fac- tors, the sequence at which bacteria grow in the uterus may affect the risk of PUDs. However, there was no association between T. pyogenes and F. necrophorum in cows with clinical endometritis at 5 weeks after calving38; therefore, larger studies are needed. Figure 5. Relative abundance of the most dominant bacterial genera in healthy and diseased postpartum dairy cows (n = 22) in samples collected 1 week before, and 1 week after, 3 weeks, and 5 weeks after calving. Cows were retrospectively selected based on their uterine health status in the 5th week postpartum and classified as healthy (n = 11), and diseased cows with clinical and sub- clinical endometritis (n = 11; > 50% purulent vaginal discharge and > 5% endometrial PMN). No differences (p > 0.20) in relative abundance in bacteria genera between healthy and diseased cows. http://dx.doi.org/10.58292/CT.v17.10988 Citation line: Clinical Theriogenology 2025, 17, 10988, http://dx.doi.org/10.58292/CT.v17.10988 7 E. coli is detected in the uterus within a few days of calving before the invasion of other bacteria and is more associated with metritis in the early postpartum than endometritis. Using culture-dependent and PCR-based methods, E. coli was iso- lated between 1 and 3 days after calving.7,14 In the present study, healthy cows had a higher relative abundance of Escherichia/Shigella than diseased cows 1 week after calving. Likewise, rare E. coli in the uterus of dairy cows with metritis was identified by metagenomic sequencing analysis.4 In other studies, E. coli was identified more frequently in cows with metritis than in healthy cows.38 The lack of knowledge on the interaction between E. coli and other bacteria like T. pyogenes and F. necrophorum and the diversity of E. coli strains (virulent factors) may explain the conflicting results. In the present study, virulent factors of E. coli were not assessed. Based on the rationale that the ascending colonization of the uterus from the vagina is the most evident pathway for PUDs, the investigation of the vaginal microbiota before calving may improve our understanding of the sequential events leading to clinical endometritis. Frimicutes, Bacteroidetes, Proteobacteria, and Actinobacteria were isoalated in the vagina of cows during the postpartum period.39–42 In the present study, the dominant bacterial genera in the vagina were Bacteroides, Trueperella, Porphyromonas, Fusobacterium, Escherichia/Shigella, Streptococcus, and Clostridium sensu stricto. Vaginal microbiota in dairy cows was associated with the occurrence of reproductive tract dis- eases.43 However, an important point of the present results is that Trueperella and Fusobacterium were present in the vagina 1 week before calving, sustaining the importance of these 2 spe- cies in the ascending colonization of the uterus after calving and their role in the etiology of endometritis in dairy cows in the postpartum period. These results are in line with the study14 that identified Fusobacteria in the vagina of dairy cows 7 days before calving. Genital microbiome may vary among species and even indi- viduals of the same species,4 with nutrition, farm manage- ment19 and phase of estrous cycle44 influencing the microbiota composition.45,46 Nevertheless, breeds under various manage- ment can present similarities in their vaginal microbiota41 and no difference between sampling techniques or phase of estrous cyle were observed.47 The 3 farms of the present study were localized close to each other and had similar herd health and feeding management reducing data variation since the geographic origin may be a significant factor of variation of the microbiome.48 All animals were of the same breed (Holstein) and had similar body conditions at sampling time. Limitations of the present study included small sample size, short sampling interval before calving and short interval of sampling (9 months) during the year. Nevertheless, Trueperella spp. in the vagina of cows before calving, with its increased relative abundance in the uterus at 3 weeks after calving, sug- gests that Trueperella could be used as a predictor of postpar- tum clinical endometritis in dairy cows and could justify larger prospective studies to test the ability of this marker to predict endometritis in a broader population and eventually be used as an accurate and rapid test for prognosis of PUDs. Conclusion The microbiota composition of the uterine microbiome was significantly different between healthy and diseased cows before clinical signs of endometritis (3 weeks postpartum). In cows with clinical endometritis, T. pyogenes, Peptoniphilus, and Helcococcus were discriminately in higher abundance than in healthy cows. T. pyogenes in the vagina of cows before calving and its increased relative abundance in the uterus 3 weeks after calving suggested that bacterial markers before calving could also be used as predictors of postpartum clinical endo- metritis in dairy cows. Larger prospective studies to test the ability of these markers to predict endometritis should be performed. Funding Theriogenology Fund of the Faculty of veterinary medicine. Conflict of interest None to report. Figure 6. Linear discriminant analysis (LDA) effect size plot showing the differences in uterine microbiota among cows diagnosed in the 5 weeks after calving as healthy (n = 11), and diseased cows (n = 11; > 50% purulent vaginal discharge and > 5% endometrial PMN). Histograms show the LDA effect size computed for features at the genera levels. Enriched features for healthy cows are indicated with positive LDA scores (green), and enriched features in diseased cows are indicated with negative LDA scores (red). Only features with p > 0.05 and an effect size cut-off of 3.5 are plotted. HealthyDiseased http://dx.doi.org/10.58292/CT.v17.10988 8 Citation line: Clinical Theriogenology 2025, 17, 10988, http://dx.doi.org/10.58292/CT.v17.10988 Authors’ contribution AB collected data, analysed and interpreted data, and drafted the mansucript; MC analysed and interpretated data; MS reviewed; RL conceptualized and designed the study, and refined the manuscript; and all authors approved submission. References 1. Földi J, Pécsi A, Szabo J, et al: Use of cephalosporins for the treat- ment of dairy cows suffering of puerperal metritis and endometri- tis. Magyar Allatorvosok Lapja 2009;131:451-455. 2. Sheldon IM, Dobson H: Postpartum uterine health in cattle. Anim Reprod Sci 2004;82-83:295-306. doi: 10.1016/j. anireprosci.2004.04.006 3. Sheldon IM, Molinari PCC, Ormsby TJR, et al: Preventing postpar- tum uterine disease in dairy cattle depends on avoiding, tolerating and resisting pathogenic bacteria. 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