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Pasteurella multocida from deep nasal swabs and tracheobronchial lavage in bovine calves from Sweden
Acta Veterinaria Scandinavica volume 66, Article number: 58 (2024)
Abstract
Background
Bovine respiratory disease (BRD) is common in intensively raised cattle and is often treated with antibiotics. For practitioners, knowledge of the bacteria involved in an outbreak and their antibiotic susceptibility is warranted. To this end, samples from the upper or lower respiratory tract of calves can be submitted for bacteriological culture and susceptibility testing of relevant isolates. However, it is debated whether isolates from the upper respiratory tract are representative of bacteria causing infections in the lower respiratory tract. In this study, we used MALDI-TOF MS, multilocus sequence typing (MLST) and core-genome multilocus sequence typing (cgMLST) to compare culture results of 219 paired samples (sample pairs) of deep nasal swabs (DNS) and tracheobronchial lavage (TBL). The sample pairs came from 171 calves in 30 calf groups across 25 farms with 48 calves sampled twice.
Results
The predominant bacterial pathogen was Pasteurella multocida, which was isolated from 37.4% of DNS and 22.4% of TBL. There was no statistically significant difference in isolation frequency of P. multocida between calves considered healthy and those suspected for BRD for DNS (P = 0.778) or TBL (P = 0.410). Among the 49 sample pairs where P. multocida was isolated from TBL, the same species was isolated from DNS in 29 sample pairs (59.2%). Isolates from 28 of these sample pairs were evaluated by MLST, and in 24 pairs (86.0%) P. multocida from DNS and TBL were of the same sequence type (ST). Moreover, cgMLST showed that the genetic distance between isolates within 21 of the 28 sample pairs (75.0%), was less than two alleles, and DNS and TBL isolates were considered identical. In seven sample pairs (25%), the genetic distance was greater, and DNS and TBL isolates were considered nonidentical.
Conclusions
Pasteurella multocida was readily isolated from DNS and in calves where this species was isolated also from TBL, DNS and TBL isolates were identical in 75% of the sample pairs. This suggests that during an outbreak of BRD, submission of DNS samples from 4 to 6 calves could be a convenient approach for practitioners seeking guidance on P. multocida present in the lower respiratory tract and their antibiotic susceptibility.
Background
Bovine respiratory disease (BRD) is common in intensively raised cattle and represents a major economic and health problem in cattle herds worldwide [1,2,3,4,5]. The background of BRD is multifactorial and includes infectious agents and predisposing factors related to the immunological and general status of the animals as well as to management and housing [6,7,8]. Due to its multifactorial background, the pathogenesis of BRD varies, but in general, viral infections of the upper respiratory tract precede bacterial infections of the lower respiratory tract [9]. The bacteria commonly involved often reside in the upper airways of healthy calves and include Pasteurella multocida, Mannheimia haemolytica, Histophilus somni and Mycoplasmopsis bovis [8,9,10].
The control of BRD is complex and involves measures to hinder the spread of infectious agents and mitigate predisposing factors [7, 11,12,13]. Therapeutic, prophylactic or metaphylactic antibiotic treatments are also used to control BRD, but routine use of antibiotics should be avoided due to the risk of emerging antibiotic resistance [6, 11, 12, 14]. For reasons of animal welfare and to minimise economic losses, however, it is often necessary to use therapeutic antibiotic treatments when BRD occurs in a group of animals [11].
Considering the increased occurrence of acquired antibiotic resistance, it is important that treatment is guided by knowledge of the antibiotic susceptibility of the relevant bacteria [5, 15,16,17,18]. Information on the antibiotic susceptibility of bacteria involved in BRD is available from national monitoring programs, e.g., [19,20,21,22,23,24], and from other scientific literature [16, 25,26,27]. However, such compiled data are derived from sources with varying study designs and from different farm types and might not be representative of the situation on a specific farm [18]. It is therefore preferable if information is available for relevant bacteria isolated from acutely affected and untreated animals from the farm where treatments are to be instituted [18]. This is even more relevant for farms experiencing treatment failures where the presence of antibiotic resistance could cause re-evaluation of treatment protocols [28]. Moreover, in some countries, susceptibility testing of isolates from animals on a farm is mandatory for the use of specific antibiotics on that farm [16, 29].
To obtain isolates of bacterial respiratory pathogens for susceptibility testing, it is convenient and simple for practitioners to collect samples for bacteriological culture from the upper respiratory tract using nasal swabs (NS), deep nasal swabs (DNS) or nasopharyngeal swabs (NPS) [5, 28]. Samples from the lower respiratory tract can also be collected in a clinical setting. Several different techniques are available, including bronchoalveolar lavage (BAL), tracheobronchial lavage (TBL), transtracheal wash (TTW) or transtracheal swab (TTS) [5, 28, 30]. These methods are, however, more complicated, and invasive than NS, DNS or NPS and are considered more stressful for the animals [15, 25, 31].
To collect samples from the upper respiratory tract is convenient, but it is debated whether isolates from NS, DNS or NPS are representative of bacterial respiratory pathogens in the lower respiratory tract, which are the targets for antibiotic therapy [5, 18, 32]. However, in studies that have compared paired isolates of Pasteurellacae from the upper and lower respiratory tracts of calves, there is generally moderate to almost perfect agreement at the species level [15, 28, 29, 33,34,35]. For M. haemolytica, there was also a high agreement between paired isolates from the upper and lower respiratory tract when molecular methods were used to compare isolates [15, 35, 36]. However paired isolates of P. multocida from the upper and lower respiratory tracts of calves have not been compared by molecular methods.
Therefore, the aim of this study was to evaluate whether DNS samples from the upper respiratory tract of calves provide comparable information regarding bacterial pathogens in TBL samples from the lower respiratory tract of the same calves. Our hypothesis is that bacterial pathogens in the lower respiratory tract of a calf can generally also be cultured from DNS from the same calf or from other calves in the same group. To test this hypothesis, we used data from field investigations and reanalysed a collection of strains from the investigations using matrix-assisted laser-desorption ionisation-time-of-flight (MALDI-TOF MS), multilocus sequence typing (MLST) and core-genome multilocus sequence typing (cgMLST). MLST is a method, first described and evaluated for Neisseria meningitidis, in which the gene sequences of, usually, seven housekeeping genes are compared [37]. The number of identical gene variants in an isolate-to-isolate comparison makes it possible to calculate the evolutionary relationships between isolates of the same species. The cgMLST also compares gene variants obtained from genome analysis but the genome sequences enable the comparison of 1609 genes instead of 7. Hence, cgMLST can show relatedness between isolates with considerably higher detail than MLST.
Methods
Field investigations
The data and bacterial isolates in this study are from field investigations from 1997 to 2000 on Swedish cattle farms experiencing outbreaks of BRD and affiliated with a health control program through the Swedish Animal Health Service [38]. To manage the outbreaks, the calves were examined clinically, and those with a rectal temperature > 39.5 °C and at least one of the clinical signs of nasal discharge, cough or abnormal respiratory sounds on auscultation, were considered suspected for BRD. To assess antibiotic susceptibility of possible bacterial respiratory pathogens, 3–6 calves from a calf group on farms where BRD occurred were sampled at each visit. A calf group was defined as a group of calves confined in the same or adjacent pens on a farm. The size of calf groups varied between farms from about 15 to 100 calves. When only a few calves suspected for BRD were available, calves considered healthy were sampled instead. Samples were collected from the posterior nasal cavity (called DNS samples) using cotton swabs (Amies charcoal media, Copan Diagnostics, Brescia, Italy). The swab was entered into the nasal cavity to its full length (≈12 cm) after dry cleaning of the outer nares with medical cotton. Bacteriological samples were also collected from the lower respiratory tract by tracheobronchial lavage (TBL). TBL was collected as previously described using a catheter designed to protect the sample from contamination when passed through the nasal cavity [30]. In brief, after dry cleaning of the outer nares with medical cotton, a catheter made of silastic tubing (diameter 5 mm, length 50 cm) with an inner lining of teflon tubing was passed through the nasal cavity into the trachea. A silicon rubber stopper 10 cm from the upper end of the catheter hindered passage more than 40 cm into the airways. When located in the trachea, a 100 cm flexible teflon tube was passed through the catheter and through a slit in a silicon tip sealing the catheter. The teflon tube was then passed down to the region of the tracheal bifurcation where 20 mL of isotonic saline was instilled and immediately aspirated. The mean volume of fluid retracted as a sample was 4.5 mL (range 0.5–15 mL).
In all, 37 different farms were visited, 400 calves were examined and sampled, and 80 of the calves were examined and sampled again within 3–9 weeks. The DNS and TBL samples collected from a calf at the same time is hereafter referred to as a “sample pair” and the isolates cultured from a sample pair referred to as an “isolate pair”.
The DNS and TBL samples collected were kept at + 8 °C and transported within 24 h to the National Veterinary Agency, Sweden (SVA), where they were cultured for respiratory bacterial pathogens on blood agar, blue agar and hematin agar (SVA, Uppsala, Sweden) at 37 °C overnight. Colonies with a macroscopic appearance in agreement with Pasteurellacae were subcultured and identified by biochemical tests. The culture results were registered as “Pasteurella-like bacteria” (PLB), “Other bacteria” (OB) or “Negative culture” (NEG).
Descriptive data for farms and individual calves from the field investigations were stored together with laboratory results. Isolates identified as PLB were stored at −80 °C, and isolates identified as OB were not stored.
As the calves were examined and sampled in the context of the routines for managing clinical outbreaks of BRD, and not for experimental purposes, no ethics approval was sought for.
Selection of calves from the field investigations
From the field investigations involving 400 calves, those selected for the present study met the following criteria: (1) both DNS and TBL should have been collected; (2) no antibiotic treatment within 3 days prior to sampling; (3) data should be available for at least 3 calves in the calf group; (4) isolates identified as PLB should be available in the strain collection.
Using above criteria, 219 sample pairs from 171 different calves were selected for this study. The calves were from 30 different calf groups on 25 farms. Twelve calf groups on ten farms had been visited twice and 48 individual calves from 11 calf groups on nine farms had been sampled twice. Ninety of the sample pairs were from calves suspected for BRD and 129 sample pairs from calves considered healthy (Table 1, Supplementary Table 1).
Selection of isolates for species identification by MALDI-TOF
To refine the identification of bacterial species, isolates identified as PLB in the field investigations were analysed by MALDI-TOF MS. From the calves selected for this study 136 isolates (85 from DNS and 51 from TBL) from 104 sample pairs were available in the strain collection. In 32 sample pairs isolates were available from both DNS and TBL, whereas in 72 isolates pairs isolates were available either from DNS (53 isolates) or from TBL (19 isolates). All available isolates were analysed by the MALDI Biotyper system (Bruker Daltonics, Bremen, Germany) to identify the species. Material from a single colony from the agar plate was spotted on a MALDI plate without pretreatment. The spots were covered with 1 µL of matrix solution consisting of α-cyano-4-hydroxycinnamic acid (HCCA), air-dried at room temperature, and introduced into the MALDI-TOF mass spectrometer for analysis. The spectra of all the isolates were compared to the spectra in the database, and identification was provided with a reliability score. A score ≥ 2.0 was considered reliable for species identification.
Whole-genome sequencing and genome assembly
In 29 sample pairs, P. multocida was isolated from both DNS and TBL and the genomes of DNS and TBL isolates from 28 of these sample pairs (56 isolates from 25 different calves) were sequenced and compared (isolates from one sample pair were not available) (Table 4). Colony material was collected from blood agar plates for DNA extraction using a Qiagen EZ1 DNA Tissue Kit (Qiagen, Halden, Germany). Nextera Library preparation (Illumina, Foster City, United States) and paired-end sequencing (2 × 150 bp) was performed at Clinical Genomics Stockholm, SciLifeLab (Solna, Sweden) using an Illumina NovaSeq 6000 instrument. The raw reads for each sample were quality checked using FastQC vo.11.9 [39], trimmed using Trimmomatic v0.39 [40] and assembled using SPAdes v3.14.0 [41]. The assemblies were error-corrected using Pilon v1.23 [42]. Details on the analysis parameters and FastQC data can be found in Supplementary Table 2.
Multilocus sequence typing
For P. multocida, there are two public MLST schemes [43, 44] available at PubMLST [45], of which we chose to use the multihost MLST scheme previously described [43].
Core-Genome multilocus sequence typing and minimum spanning tree construction
No cgMLST schemes for P. multocida suitable for global nomenclature are currently available. Therefore, we constructed an ad hoc cgMLST scheme from the project data suitable for analysis of this dataset alone using the cgMLST Target Definer v.1.5 function in SeqSphere + version 6.0.2 (Ridom, Würzburg, Germany). We used the annotated genome with the GenBank accession number NZ_CP008918.1 as the seed genome and the genomes NZ_CP015569.1, NZ_CP037861.1 and NZ_CP037865.1 as the penetration genomes and excluded hits found in the plasmid sequence NC_017035.1, gene duplicates and truncated genes. This resulted in a cgMLST scheme consisting of 1611 targets, as documented in Supplementary Table 1. Using the results from 1609 of the cgMLST targets, the phylogenetic distance was calculated using the Minimum Spanning Tree method (Kruskal JB 1956) using GrapeTree v.1.5.0 [46].
Statistical calculations
Differences in culture results between DNS and TBL were evaluated by Fischer’s exact test, with P ≤ 0.05 considered evidence of a significant difference. Agreement between culture results for DNS and TBL for P. multocida was evaluated by Kappa statistics and McNemar’s test [47]. Kappa values (ƙ) were interpreted to indicate the strength of agreement as follows: < 0.20, slight; 0.20–0.40, fair; 0.41–0.60, moderate; 0.61–0.8, substantial; and > 0.8, almost perfect. The exact McNemar significance probability test was used to determine the potential for bias between DNS and TBL, and values ≤ 0.05 were considered evidence of bias. Statistical calculations were made using the GraphPad software.
Results
Bacteriological culture
Among the 219 DNS samples, P. multocida was isolated from 82 (37.4%), M. haemolytica from one (0.5%), Moraxella bovoculi from two (0.9%) and other bacteria (OB) from 134 samples (61.2%) (Table 2). Among bacteria assigned as OB in this study one isolate originally diagnosed as Trueperella pyogenes is included (Supplementary Table 1). In DNS there was no difference in the isolation frequency of P. multocida between calves considered healthy (38.0%) and those suspected for BRD (36.7%) (P = 0.778). Among the 219 TBL samples, P. multocida was isolated from 49 (22.4%), M. bovoculi from two (0.9%), and OB from 33 (15.1%), whereas most samples, 135 (61.6%), yielded no growth. Among bacteria assigned as OB in this study three isolates originally diagnosed as Trueperella pyogenes were included (Supplementary Table 1). In TBL there was no difference in the isolation frequency of P. multocida between calves considered healthy (20.2%) and those suspected for BRD (25.6%) (P = 0.410), but the proportion of negative cultures was greater in calves considered healthy (68.2%) than in those suspected for BRD (52.2%) (P = 0.023).
Crosstabulation of culture results for the 219 sample pairs of DNS and TBL showed that when P. multocida or M. bovoculi were isolated from TBL, the same species were isolated from DNS in 60.8% (31/51) of the sample pairs (Table 2). In the remaining 20 sample pairs where P. multocida was isolated from TBL, M. haemolytica was isolated from DNS in one sample pair and OB in 19 sample pairs. Conversely, when P. multocida or M. bovoculi were isolated from DNS, the same species was isolated from TBL in 36.9% (31/84) of the sample pairs (Table 2). In the remaining 53 sample pairs where P. multocida was isolated from DNS, the TBL samples were negative in 46 sample pairs and yielded OB in seven sample pairs. The agreement between DNS and TBL culture results for P. multocida was slight for calves considered healthy, with a possible bias in the dataset (ƙ 0.14 ± 0.16, McNemar P = 0.001), and fair for calves suspected for BRD, with no bias in the dataset (ƙ 0.34 ± 0.20, McNemar P = 0.078).
Out of 42 sampling times across different farms at the two sampling occasions, P. multocida was isolated from DNS in 35 (83.3%) of these sampling times within the 30 calf groups and in at least one calf per sample group, with a median isolation frequency of 33.0% (range: 0–100%). From TBL, P. multocida was isolated from at least one calf in the sampled group at 31 (73.8%) of the 42 sampling times within the 30 different calf groups and the median isolation frequency was 23.0% (range: 0–100%) (Table 3).
Genotyping
Among the 56 isolates from the 28 isolate pairs where P. multocida was isolated from both DNS and TBL, four different MLST sequence types (ST) were found (Table 4; Fig. 1A). Twenty-five isolates were ST-68, 21 were ST-3, and seven were ST-19. Three isolates were of a ST which was reported to the Public databases for molecular typing and microbial genome diversity (PubMLST) and named ST-202. In 24 of the 28 isolate pairs (85.7%), P. multocida from DNS and TBL had the same STs, whereas in four isolate pairs (14.3%), the STs of the DNS and TBL isolates differed (Table 4, Fig. 1B). In the three calves that were sampled twice, P. multocida of the same ST was isolated on sampling occasion 1 and 2 from one calf, whereas there was a shift in STs between sampling occasion 1 and 2 in two calves (Table 4).
Minimum spanning for P. multocida isolates. Minimum spanning tree constructed from core genome multilocus sequence typing data consisting of 1609 loci showing 56 P. multocida isolates from deep nasal swabs (DNS) and tracheobronchial lavage (TBL). Panel A: ST-3 is shown in light blue, ST-19 in dark orange, ST-68 in dark blue and ST-202 in light orange. Panel B: cgMLST differences between DNS and TBL sampled on the same occasion from the same calf. Pairs of identical isolates (0 or 1 allele difference from 1609) are coloured yellow, related isolates (26 to 74 alleles) are coloured magenta, and nonrelated isolates (1041 to 1443 allele difference) are coloured cyan. The circle size indicates the number of isolates. Branches are dotted when there are differences in alleles greater than 200
In groups of calves and within farms, P. multocida of more than one ST was often isolated. Thus, at the seven sampling times where data were available for more than one calf in a group, P. multocida of a single ST was isolated from DNS and TBL from all calves at four sampling times (Farm 6, Calf group A, sampling occasion 1; Farm 11, Calf group A sampling occasion 1; Farm 11, Calf group A, sampling occasion 2; Farm 35, Calf group A, sampling occasion 1), whereas the isolates were of two or more STs at three sampling times (Table 4). Similarly, on the three farms (Farm 2, Farm 10, Farm 11) where more than one calf group was sampled, isolates of a single ST were found only on Farm 10 (Table 4).
The minimum spanning tree (MST) from the cgMLST data (Fig. 1A) showed that the P. multocida isolates clustered into three groups with closely related isolates. The genetic distance between DNS and TBL isolates within isolate pairs was 0 alleles in 17 isolate pairs and 1 allele in 4 isolate pairs. We interpret this as indicating that the P. multocida isolates within these pairs have a common ancestor in near-time and are examples of a limited within-host diversity which reflects the ongoing evolution of P. multocida into subpopulations. We group these isolates together as identical or near identical and this is the case in 21 of the 28 isolate pairs (75%) (Fig. 1B). In 3 isolate pairs, the genetic distance was between 26 and 74 alleles, and in 4 isolate pairs, it was between 1041 and 1443 alleles (Fig. 1B). The isolates within these 7 pairs were considered non identical.
The data for this study have been deposited in the European Nucleotide Archive (ENA) at EMBL-EBI under accession number PRJEB73847 [48].
Discussion
The aim of this study was to evaluate whether bacterial pathogens isolated from DNS are representative for those found in the lower respiratory tract of calves. Since P. multocida was the only relevant pathogen isolated from both DNS and TBL, only this species could be evaluated. The agreement for P. multocida between DNS and TBL samples in calves considered healthy was slight (ƙ 0.14), and the McNemar test (P = 0.001) indicated that the data were biased. A higher agreement (fair, ƙ 0.28) was previously reported for P. multocida from the upper and lower respiratory tract of healthy calves [29]. For calves suspected for BRD in our study, the agreement was fair (ƙ 0.34), and the McNemar test indicated an unbiased dataset (P = 0.078). A greater agreement can be expected for diseased calves since P. multocida is considered a commensal in calves [2, 25, 49], and its presence in the upper respiratory tract does not imply infection in the lower respiratory tract [2]. Thus, agreements ranging from moderate to almost perfect (ƙ 0.48- > 0.8) have been reported for calves with BRD [28, 29, 36] and also for a material including both healthy calves and calves with clinical signs of respiratory disease [33]. In these studies, moderate to almost perfect agreement was also reported for M. haemolytica, and slight to substantial agreement for H. somni. The generally lower agreement for isolation of P. multocida in DNS and TBL in our study than in those cited above could be caused by underdiagnosis of relevant bacterial pathogens in DNS and TBL or misclassification of the health status of calves, as discussed below.
Although an agreement at the species level between bacterial isolates from the upper and lower respiratory tract suggests that the same strain is isolated from both sites, this is not necessarily true. In this study, MLST showed that P. multocida were of the same ST within 24 of the 28 isolate pairs evaluated, whereas different STs were found within four isolates pairs. This indicates that although there was an agreement at the species level, the same strain was isolated from DNS and TBL in only 24 of the 28 sample pairs. However, even an agreement at the ST level does not ensure that the isolates are identical. In this study the more discriminatory cgMLST showed that in the 24 isolate pairs which agreed at the ST level, there was no difference in alleles within 17 isolate pairs, and a difference of one allele within four pairs. We considered this to confirm that the same strain of P. multocida was present in DNS and TBL in 21 (75%) of the 28 sample pairs evaluated. However, three isolate pairs with an agreement at the ST level, differed between 26 and 74 alleles on cgMLST and are most likely also closely related but not identical. In contrast, the four isolate pairs which disagreed at the ST level, differed by 1041 to 1443 alleles within pairs and it is evident that different strains of P. multocida were isolated from DNS and TBL in these sample pairs. There are no previous reports evaluating genotypes of P. multocida from the upper and lower respiratory tract. However, for M. haemolytica evaluated by molecular methods a high level of agreement between isolates from the upper and lower respiratory tract has also been reported [15, 35, 36].
The fact that the same P. multocida strain was isolated from the upper and lower respiratory tract in 75% of the sample pairs (DNS and TBL) suggests that isolates from DNS generally, but not always, reflect relevant information for lower respiratory tract infections in the same animal. However, within calf groups and farms, often P. multocida of more than one MLST ST were isolated and cgMLST revealed that even isolates of the same MLST ST were not always identical. This shows that more than one strain of P. multocida can be present in individual animals as well as in a group of calves and that the panorama of strains on a farm is variable. This agrees with other studies where MLST of P. multocida has shown that isolates with different STs can be present in a group of calves, although often one or two types predominate on a farm, [50,51,52,53] and it is proposed that the movement of animals may cause greater variability [60].
Relevant bacterial pathogens (P. multocida and M. haemolytica) were cultured from 37.9% of the DNS samples. P. multocida was highly predominant which confirms that this species can be readily isolated from the upper airways of both healthy calves and from calves suspected for BRD [2]. A wide range of isolation frequencies for P. multocida (20–70%) have previously been reported for calves sampled by DNS or NPS [15, 17, 25, 28, 29, 31, 33, 36, 49,50,51, 54,55,56]. The variation between studies is likely due to differences in age and disease status of the sampled animals, farm type, sample type and testing method [57]. In agreement with this, the isolation frequency for P. multocida varied substantially between farms and calf groups in our study, as previously observed by others [29, 31, 51]. This could be due to differences in disease status between farms and calf groups, as discussed above, but in contrast to previous reports [29, 33], there was no statistically significant difference in isolation frequency for P. multocida between calves considered healthy and calves suspected for BRD in our study. This could be due to misclassification of calves as healthy or suspect of BRD since in contrast to the studies cited above [29, 33] we did not use an elaborate scoring system to classify calves.
Overgrowth of contaminants and mixed cultures from DNS were common in our study (data not shown) and made it difficult to recognise relevant bacterial pathogens in some samples which could lead to underdiagnosis. This was identified as problematic also by others [29] and is challenging when the aim is to obtain relevant bacterial isolates for susceptibility testing. It has been suggested that this could be partly overcome by cleaning the calves’ nares prior to sampling but also by efforts in the laboratory to identify relevant pathogens in mixed cultures [28]. On submission of samples, it might therefore be important to inform the laboratory that the main aim is not to identify specific infections in individual animals but to obtain relevant isolates for susceptibility testing representative of the group or farm.
Most TBL samples (61.6%) yielded no bacterial growth, but P. multocida was isolated from 22.4% of the samples and from at least one calf at 31 (73.8%) of the 42 sampling times of calf groups. This is within the range of results (5–44%) reported for healthy calves sampled by BAL or TTW [29, 33, 52, 58]. Our data are also in agreement with the isolation frequencies for calves with BRD sampled with the same TBL technique as in our study (16–34%) [59, 60] and in studies using BAL (21–30%) [29, 36]. Higher isolation frequencies in calves with BRD (40–80%) were obtained in other studies using BAL or TTW [28, 33, 50, 52].
There was no statistically significant difference in isolation frequency for P. multocida between calves considered healthy (20.2%) and those suspected for BRD (25.6%). However, several studies have reported that P. multocida is more often isolated from the lower respiratory tract of diseased calves [29, 33, 58, 60], although others have found no difference [52]. The lack of a statistically significant difference in our study could be due to misclassification of calves, as discussed above, and that it was not possible to determine the severity and stage of disease. The likelihood to isolate bacterial pathogens from the lower respiratory tract is influenced by the timing of sample collection and is probably higher after the acute stage has passed [5]. It should also be noted that marked respiratory disease can be caused by viral infections and occur without bacterial superinfection of the lower respiratory tract [29]. Moreover, it is likely that the sampling method influences the isolation frequency for bacterial pathogens. Endoscope guided BAL has been considered to give higher isolation frequencies than unguided BAL or TBL because affected lung lobes can be specifically sampled whereas a random part of the lower respiratory tract is sampled with the latter techniques [29, 36]. It is also suggested that the volume of fluid instilled is important [60]. A large, instilled volume probably increases the likelihood to isolate bacteria from the lower respiratory tract. This is corroborated by a generally higher isolation frequency in studies using TTW or BAL, where volumes of 50–180 mL fluid were instilled [28, 33, 50, 52], than in studies where smaller volumes were used [29, 59, 60]. In our study, we instilled 20 mL of isotonic saline with a mean retraction volume of 4.5 mL, and it is likely that the number of positive TBL samples would have been greater if a larger volume had been used.
In our study, ST-68 was the most common P. multocida ST found and the first report of this ST in farm animals. The second most common ST was ST-3, which was previously found in pigs from China [61] and in association with porcine pneumonia in Spain together with ST-19 [62], the third most common ST in our collection.
Knowledge of respiratory pathogens involved in an outbreak of BRD is important as a guide for treatment of animals and for disease management measures on a farm. However, there is a multitude of viral and bacterial pathogens involved [57] and even the epidemiology of P. multocida within a farm is complex [63]. For practitioners it is not possible to identify all pathogens, but to guide antibiotic therapy in a group of calves it may be sufficient to obtain a few representative isolates of the bacterial respiratory pathogens present and test them for antibiotic susceptibility. To this end, the practitioner has two options, either to sample the upper respiratory tract or the lower respiratory tract of a reasonable number of calves [36]. Sampling the lower respiratory tract has been considered more cost effective and appropriate in practice because samples are less contaminated, and the interpretation of culture results is therefore more straightforward [29]. Also, isolates from the lower respiratory tract are considered more relevant for identifying the pathogen causing infection in individual calves [5, 18, 32]. However, for practitioners, it is undoubtedly easier to collect samples from the upper respiratory tract, which is also considered less harmful for the animals [25, 31]. The risk of failure to isolate relevant pathogens from the upper respiratory tract in a group of calves can be minimised by sampling a larger number of animals, as previously suggested [15]. Our study showed that P. multocida isolated from upper respiratory tract samples are generally representative of isolates obtained from the lower respiratory tract of the same calf. This finding agrees with several other studies [15, 28, 33, 35, 36], and susceptibility testing of bacterial isolates collected by NPS or DNS from diseased calves was considered to yield relevant results for individual animals or calf groups [33, 35, 64].
Neither sampling the upper nor the lower respiratory tract would overcome the possibility that there can be several different P. multocida strains on a farm. Regardless of the sampling site, the culture results should therefore be interpreted with caution [36]. To reduce the risk of missing strains of the same bacterial species with different antibiotic susceptibility, several isolates could be selected on culture, but this approach might not be possible or cost effective in a clinical context.
Our study has several limitations. First, the isolates were collected between 1997 and 2000, and data regarding the genetic identity and STs of P. multocida and the occurrence of specific respiratory pathogens could be irrelevant for the current situation in Sweden. Moreover, the data and bacterial isolates are from clinical investigations on farms with BRD outbreaks, and sampling and bacteriological cultures were performed to guide practitioners in managing the outbreaks and not in the context of an experimental study. Therefore, the processing of samples in the laboratory was performed as part of the routine work and focused on identifying Pasteurellacae. More elaborate efforts to identify isolates in the samples were not made, and only one isolate from each sample was further evaluated and saved. This probably led to underdiagnosis of bacterial pathogens in both DNS and TBL. Another limitation is that Mycoplasmopsis spp. were not cultured because the methodology was not available at the laboratory at the time of the field investigations. Further, although all isolates were tested for antibiotic susceptibility, the method and interpretive criteria used at that time are largely obsolete and the data were considered unreliable and therefore not included in the study. The lack of susceptibility data precludes evaluation of the possibility that there could be mobile genetic elements carrying resistance genes in one of the P. multocida isolates in an isolate pair that were considered identical after cgMLST. This would lead to differences in antibiotic susceptibility between the DNS and TBL isolate. Despite these limitations, we believe that the evaluation of DNS in relation to TBL and conclusions regarding the sampling of calves might be relevant for BRD diagnosis and management.
Conclusions
In this study, P. multocida was readily isolated from the upper airways of calves. Although there was a large variation in its isolation frequency between farms and calf groups, at least one P. multocida isolate was obtained from DNS in 83.3% of the calf groups on 25 farms. It was found that in 75% of the calves where P. multocida was isolated from DNS and TBL isolates interpreted as identical by cgMLST were obtained by both sampling methods. During an outbreak of BRD in a calf group, a simple approach for practitioners to gain insight in the presence of P. multocida in the lower respiratory tract could be to collect and submit samples from the upper respiratory tract of 4–6 calves within the group.
Availability of data and materials
The datasets used and analysed during the current study are available from the corresponding author on reasonable request.
References
Gay E, Barnouin J. A nation-wide epidemiological study of acute bovine respiratory disease in France. Prev Vet Med. 2009. https://doi.org/10.1016/j.prevetmed.2009.02.013.
Griffin D, Chengappa MM, Kuszak J, McVey DS. Bacterial pathogens of the bovine respiratory disease complex. Vet Clin North Am Food Anim Pract. 2010. https://doi.org/10.1016/j.cvfa.2010.04.004.
Hay KE, Morton JM, Mahony TJ, Clements AC, Barnes TS. Associations between animal characteristic and environmental risk factors and bovine respiratory disease in Australian feedlot cattle. Prev Vet Med. 2016. https://doi.org/10.1016/j.prevetmed.2016.01.013.
Murray CF, Fick LJ, Pajor EA, Barkema HW, Jelinski MD, Windeyer MC. Calf management practices and associations with herd-level morbidity and mortality on beef cow-calf operations. Animal. 2016. https://doi.org/10.1017/S1751731115002062.
Pardon B, Buczinski S. Bovine respiratory disease diagnosis: What progress has been made in infectious diagnosis? Vet Clin North Am Food Anim Pract. 2020. https://doi.org/10.1016/j.cvfa.2020.03.005.
Delabouglise A, James A, Valarcher JF, Hagglund S, Raboisson D, Rushton J. Linking disease epidemiology and livestock productivity: The case of bovine respiratory disease in France. PLoS ONE. 2017. https://doi.org/10.1371/journal.pone.0189090.
Edwards TA. Control methods for bovine respiratory disease for feedlot cattle. Vet Clin North Am Food Anim Pract. 2010. https://doi.org/10.1016/j.cvfa.2010.03.005.
Taylor JD, Fulton RW, Lehenbauer TW, Step DL, Confer AW. The epidemiology of bovine respiratory disease: What is the evidence for predisposing factors? Can Vet J. 2010;51:1095–102.
Caswell JL. Failure of respiratory defences in the pathogenesis of bacterial pneumonia of cattle. Vet Pathol. 2014. https://doi.org/10.1177/0300985813502821.
Griffin D. Bovine pasteurellosis and other bacterial infections of the respiratory tract. Vet Clin North Am Food Anim Pract. 2010. https://doi.org/10.1016/j.cvfa.2009.10.010.
Smith RA, Step DL, Woolums AR. Bovine respiratory disease: Looking back and looking forward, what do we see? Vet Clin North Am Food Anim Pract. 2020. https://doi.org/10.1016/j.cvfa.2020.03.009.
Stokstad M, Klem TB, Myrmel M, Oma VS, Toftaker I, Osteras O, et al. Using biosecurity measures to combat respiratory disease in cattle: The Norwegian control program for bovine respiratory syncytial virus and bovine coronavirus. Front Vet Sci. 2020. https://doi.org/10.3389/fvets.2020.00167.
Sweiger SH, Nichols MD. Control methods for bovine respiratory disease in stocker cattle. Vet Clin North Am Food Anim Pract. 2010. https://doi.org/10.1016/j.cvfa.2010.04.008.
Murray GM, O’Neill RG, More SJ, McElroy MC, Earley B, Cassidy JP. Evolving views on bovine respiratory disease: An appraisal of selected control measures - Part 2. Vet J. 2016. https://doi.org/10.1016/j.tvjl.2016.09.013.
Godinho KS, Sarasola P, Renoult E, Tilt N, Keane S, Windsor GD, et al. Use of deep nasopharyngeal swabs as a predictive diagnostic method for natural respiratory infections in calves. Vet Rec. 2007. https://doi.org/10.1136/vr.160.1.22.
Melchner A, van de Berg S, Scuda N, Feuerstein A, Hanczaruk M, Schumacher M, et al. Antimicrobial resistance in isolates from cattle with bovine respiratory disease in Bavaria, Germany. Antibiotics (Basel). 2021. https://doi.org/10.3390/antibiotics10121538.
Jobman E, Hagenmaier J, Meyer N, Harper LB, Taylor L, Lukasiewicz K, et al. Cross-section observational study to assess antimicrobial resistance prevalence among bovine respiratory disease bacterial isolates from commercial US feedlots. Antibiotics (Basel). 2023. https://doi.org/10.3390/antibiotics12020215.
Lubbers BV, Turnidge J. Antimicrobial susceptibility testing for bovine respiratory disease: getting more from diagnostic results. Vet J. 2015. https://doi.org/10.1016/j.tvjl.2014.12.009.
GERM-vet. Bundesamt für Verbraucherschutz und Lebensmittelsicherheit (BVL). Resistenzsituation bei klinisch wichtigen tierpathogenen bakterien. https://www.bvl.bund.de/EN/Tasks/05_Veterinary_medicines/01_Tasks_vmp/05_Tasks_AntibioticResistance/06_GERMvet/vmp_GERMvet_node.html. Accessed 10 Jan 2024.
Swedres-Svarm. Sales of antibiotics and occurrence of resistance in Sweden. Solna/Uppsala ISSN 1650–6332. https://www.sva.se/en/what-we-do/antibiotics/svarm-resistance-monitoring/swedres-svarm-reports/. Accessed 10 Jan 2024.
FINRES-Vet. Finnish veterinary antimicrobial resistance monitoring and consumption of antimicrobial agents. Finnish Food Authority, Helsinki, Finland. https://www.ruokavirasto.fi/en/animals/animal-medication/monitoring-of-antibiotic-resistance/finres-vet-reports/. Accessed 10 Jan 2024.
MARAN. Monitoring of antimicrobial resistance and antibiotic usage in animals in the Netherlands. Wageningen Bioveterinary Research (WBVR), Food and Consumer Product Safety Authority (NVWA), Wageningen Food Safety Research (WFSR), the National Institute for Public Health and the Environment (RIVM) and the Netherlands Veterinary Medicines Institute (SDa). https://www.wur.nl/en/dossiers/file/antibiotic-resistance-1.htm. Accessed 10 Jan 2024.
NORM/NORM-VET. Usage of antimicrobial agents and occurrence of antimicrobial resistance in Norway. Tromsø/Oslo. https://www.vetinst.no/en/surveillance-programmes/norm-norm-vet-report. Accessed 10 Jan 2024.
RESAPATH online. Lyon et Ploufragan-Plouzané-Niort, France. Available at: https://shiny-public.anses.fr/ENresapath2/. Accessed 10 Jan 2024.
Schonecker L, Schnyder P, Schupbach-Regula G, Meylan M, Overesch G. Prevalence and antimicrobial resistance of opportunistic pathogens associated with bovine respiratory disease isolated from nasopharyngeal swabs of veal calves in Switzerland. Prev Vet Med. 2020. https://doi.org/10.1016/j.prevetmed.2020.105182.
Holschbach CL, Aulik N, Poulsen K, Ollivett TL. Prevalence and temporal trends in antimicrobial resistance of bovine respiratory disease pathogen isolates submitted to the Wisconsin Veterinary Diagnostic Laboratory: 2008–2017. J Dairy Sci. 2020. https://doi.org/10.3168/jds.2019-17570.
Anholt RM, Klima C, Allan N, Matheson-Bird H, Schatz C, Ajitkumar P, et al. Antimicrobial susceptibility of bacteria that cause bovine respiratory disease complex in Alberta. Canada Front Vet Sci. 2017. https://doi.org/10.3389/fvets.2017.00207.
Doyle D, Credille B, Lehenbauer TW, Berghaus R, Aly SS, Champagne J, et al. Agreement among 4 sampling methods to identify respiratory pathogens in dairy calves with acute bovine respiratory disease. J Vet Intern Med. 2017. https://doi.org/10.1111/jvim.14683.
Van Driessche L, Valgaeren BR, Gille L, Boyen F, Ducatelle R, Haesebrouck F, et al. A deep nasopharyngeal swab versus nonendoscopic bronchoalveolar lavage for isolation of bacterial pathogens from preweaned calves with respiratory disease. J Vet Intern Med. 2017. https://doi.org/10.1111/jvim.14668.
Bengtsson B, Viring S, Gånheim C, Jacobsson S-O. A simple field method for tracheo-bronchial lavage in calves. In: Proceedings of the 20th World Buiatrics Congress; Sydney, Australia; 1998; p. 1127.
Hotchkiss EJ, Dagleish MP, Willoughby K, McKendrick IJ, Finlayson J, Zadoks RN, et al. Prevalence of Pasteurella multocida and other respiratory pathogens in the nasal tract of Scottish calves. Vet Rec. 2010. https://doi.org/10.1136/vr.c4827.
Cooper VL, Brodersen BW. Respiratory disease diagnostics of cattle. Vet Clin North Am Food Anim Pract. 2010. https://doi.org/10.1136/vr.c4827.
Allen JW, Viel L, Bateman KG, Rosendal S, Shewen PE, Physick-Sheard P. The microbial flora of the respiratory tract in feedlot calves: associations between nasopharyngeal and bronchoalveolar lavage cultures. Can J Vet Res. 1991;55:341–6.
Capik SF, White BJ, Lubbers BV, Apley MD, Mosier DA, Larson RL, et al. Characterization of Mannheimia haemolytica in beef calves via nasopharyngeal culture and pulsed-field gel electrophoresis. J Vet Diagn Invest. 2015. https://doi.org/10.1177/1040638715597724.
DeRosa DC, Mechor GD, Staats JJ, Chengappa MM, Shryock TR. Comparison of Pasteurella spp. simultaneously isolated from nasal and transtracheal swabs from cattle with clinical signs of bovine respiratory disease. J Clin Microbiol. 2000;38:327–32.
Capik SF, White BJ, Lubbers BV, Apley MD, DeDonder KD, Larson RL, et al. Comparison of the diagnostic performance of bacterial culture of nasopharyngeal swab and bronchoalveolar lavage fluid samples obtained from calves with bovine respiratory disease. Am J Vet Res. 2017. https://doi.org/10.2460/ajvr.78.3.350.
Maiden MC, Bygraves JA, Feil E, Morelli G, Russell JE, Urwin R, et al. Multilocus sequence typing: a portable approach to the identification of clones within populations of pathogenic microorganisms. Proc Natl Acad Sci U S A. 1998. https://doi.org/10.1073/pnas.95.6.3140.
Bengtsson B, Viring S. Luftvägsinfektioner – ‘Projekt, panorama och behandlingsstrategier’. In: Proceedings Swedish Veterinary Conference; Uppsala, Sweden; 2000; p. 153–157.
Babraham Bioinformatics. FastQC: a quality control tool for high throughput sequence data. 2010. https://www.bioinformatics.babraham.ac.uk/projects/fastqc/. Accessed 7 June 2023.
Bolger AM, Lohse M, Usadel B. Trimmomatic: a flexible trimmer for Illumina sequence data. Bioinformatics. 2014. https://doi.org/10.1093/bioinformatics/btu170.
Prjibelski A, Antipov D, Meleshko D, Lapidus A, Korobeynikov A. Using SPAdes De Novo Assembler. Curr Protoc Bioinformatics. 2020. https://doi.org/10.1002/cpbi.102.
Walker BJ, Abeel T, Shea T, Priest M, Abouelliel A, Sakthikumar S, et al. Pilon: an integrated tool for comprehensive microbial variant detection and genome assembly improvement. PLoS ONE. 2014. https://doi.org/10.1371/journal.pone.0112963.
Davies RL, MacCorquodale R, Baillie S, Caffrey B. Characterization and comparison of Pasteurella multocida strains associated with porcine pneumonia and atrophic rhinitis. J Med Microbiol. 2003. https://doi.org/10.1099/jmm.0.05019-0.
Subaaharan S, Blackall LL, Blackall PJ. Development of a multi-locus sequence typing scheme for avian isolates of Pasteurella multocida. Vet Microbiol. 2010. https://doi.org/10.1016/j.vetmic.2010.01.017.
Jolley KA, Bray JE, Maiden MCJ. Open-access bacterial population genomics: BIGSdb software, the PubMLST.org website and their applications. Wellcome Open Res. 2018;3:124. http://www.pubmlst.org/organisms/pasteurella-multocida. Accessed 10 Oct 2023.
Zhou Z, Alikhan NF, Sergeant MJ, Luhmann N, Vaz C, Francisco AP, et al. GrapeTree: visualization of core genomic relationships among 100,000 bacterial pathogens. Genome Res. 2018. https://doi.org/10.1101/gr.232397.117.
Dohoo I, Martin W, Stryhn H. Screening and diagnostic tests. In: McPike SM, editor. Veterinary epidemiologic research. Charlottetown: AVC Inc; 2003. p. 85–120.
European Nucleotide Archive at EMBL-EBI. https://ebi.ac.uk/ena/browser/PREJEB73847.
Calderon Bernal JM, Serna C, Garcia Munoz A, Diez Guerrier A, Dominguez L, Fernandez-Garayzabal JF, et al. Genotypic comparison of Pasteurella multocida from healthy animals at entry to the feedlots with that and from bovine respiratory disease-affected animals during the fattening period. Animals (Basel). 2023. https://doi.org/10.3390/ani13172687.
Hirsch C, Timsit E, Uddin MS, Guan LL, Alexander TW. Comparison of pathogenic bacteria in the upper and lower respiratory tracts of cattle either directly transported to a feedlot or co-mingled at auction markets prior to feedlot placement. Front Vet Sci. 2022. https://doi.org/10.3389/fvets.2022.1026470.
Guo Y, McMullen C, Timsit E, Hallewell J, Orsel K, van der Meer F, et al. Genetic relatedness and antimicrobial resistance in respiratory bacteria from beef calves sampled from spring processing to 40 days after feedlot entry. Vet Microbiol. 2020. https://doi.org/10.3390/ani13172687.
Kudirkiene E, Aagaard AK, Schmidt LMB, Pansri P, Krogh KM, Olsen JE. Occurrence of major and minor pathogens in calves diagnosed with bovine respiratory disease. Vet Microbiol. 2021. https://doi.org/10.1016/j.vetmic.2021.109135.
Hotchkiss EJ, Hodgson JC, Schmitt-van de Leemput E, Dagleish MP, Zadoks RN. Molecular epidemiology of Pasteurella multocida in dairy and beef calves. Vet Microbiol. 2011. https://doi.org/10.1016/j.vetmic.2011.03.018.
Catry B, Haesebrouck F, Vliegher SD, Feyen B, Vanrobaeys M, Opsomer G, et al. Variability in acquired resistance of Pasteurella and Mannheimia isolates from the nasopharynx of calves, with particular reference to different herd types. Microb Drug Resist. 2005. https://doi.org/10.1089/mdr.2005.11.387.
Catry B, Decostere A, Schwarz S, Kehrenberg C, de Kruif A, Haesebrouck F. Detection of tetracycline-resistant and susceptible pasteurellaceae in the nasopharynx of loose group-housed calves. Vet Res Commun. 2006. https://doi.org/10.1007/s11259-006-3347-8.
Wennekamp TR, Waldner CL, Windeyer MC, Larson K, Trokhymchuk A, Campbell JR. Antimicrobial resistance in bovine respiratory disease: Auction market- and ranch-raised calves. Can Vet J. 2022;63:47–54.
Murray GM, O’Neill RG, More SJ, McElroy MC, Earley B, Cassidy JP. Evolving views on bovine respiratory disease: An appraisal of selected key pathogens - Part 1. Vet J. 2016. https://doi.org/10.3390/ani13172687.
Timsit E, Hallewell J, Booker C, Tison N, Amat S, Alexander TW. Prevalence and antimicrobial susceptibility of Mannheimia haemolytica, Pasteurella multocida, and Histophilus somni isolated from the lower respiratory tract of healthy feedlot cattle and those diagnosed with bovine respiratory disease. Vet Microbiol. 2017. https://doi.org/10.1016/j.vetmic.2017.07.013.
Hartel H, Nikunen S, Neuvonen E, Tanskanen R, Kivela SL, Aho R, et al. Viral and bacterial pathogens in bovine respiratory disease in Finland. Acta Vet Scand. 2004. https://doi.org/10.1186/1751-0147-45-193.
Autio T, Pohjanvirta T, Holopainen R, Rikula U, Pentikainen J, Huovilainen A, et al. Etiology of respiratory disease in non-vaccinated, non-medicated calves in rearing herds. Vet Microbiol. 2007. https://doi.org/10.1016/j.vetmic.2006.10.001.
Peng Z, Wang H, Liang W, Chen Y, Tang X, Chen H, et al. A capsule/lipopolysaccharide/MLST genotype D/L6/ST11 of Pasteurella multocida is likely to be strongly associated with swine respiratory disease in China. Arch Microbiol. 2018. https://doi.org/10.1007/s00203-017-1421-y.
Garcia-Alvarez A, Vela AI, San Martin E, Chaves F, Fernandez-Garayzabal JF, Lucas D, et al. Characterization of Pasteurella multocida associated with ovine pneumonia using multi-locus sequence typing (MLST) and virulence-associated gene profile analysis and comparison with porcine isolates. Vet Microbiol. 2017. https://doi.org/10.1016/j.vetmic.2017.04.015.
Hotchkiss EJ, Hodgson JC, Lainson FA, Zadoks RN. Multilocus sequence typing of a global collection of Pasteurella multocida isolates from cattle and other host species demonstrates niche association. BMC Microbiol. 2011. https://doi.org/10.1186/1471-2180-11-115.
Carter HF, Wills RW, Scott MA, Thompson AC, Singer RS, Loy JD, et al. Assessment of diversity of antimicrobial resistance phenotypes and genotypes of Mannheimia haemolytica isolates from bovine nasopharyngeal swabs. Front Vet Sci. 2022. https://doi.org/10.3389/fvets.2022.883389.
Acknowledgements
The contributions of VMD Sven Viring and VMD Charina Gånheim to the field investigations on which this study is based are gratefully acknowledged. Likewise, VMD Helene Wahlström is acknowledged for constructive criticism of this manuscript.
Funding
The processing of data, analysis of isolates from the strain collection and elaboration of the manuscript were conducted within the SvarmPat programme. This programme aims to counteract emergence and spread of antibiotic resistance in farm animal bacterial pathogens and is financed by the Swedish Board of Agriculture. SvarmPat is run in cooperation between the Department of Animal Health and Antimicrobial Strategies at the Swedish Veterinary Agency and the Swedish consultancy company Farm and Animal Health.
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BB participated in the field investigations on which the data and isolates of this study were based and designed the present study; BH performed the bacteriological analyses; MM performed the molecular analyses; BB performed the statistical analyses; BB and MM interpreted the results; BB, MM and MP drafted the manuscript; and all the authors commented and refined the draft. All authors have read and approved the final version of the manuscript.
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The data and isolates on which this study is based were collected from calves at farm visits made by the Swedish animal health services in 1997–2000. The farm visits, including sampling of calves, were part of routine work in managing outbreaks of BRD on farms affiliated with the organisation. Hence, this is not an experimental study and ethics approval and consent to participate are therefore not relevant.
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Myrenås, M., Pringle, M., Harbom, B. et al. Pasteurella multocida from deep nasal swabs and tracheobronchial lavage in bovine calves from Sweden. Acta Vet Scand 66, 58 (2024). https://doi.org/10.1186/s13028-024-00781-7
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DOI: https://doi.org/10.1186/s13028-024-00781-7