- Research article
- Open Access
Isolation of mycobacteria from clinical samples collected in the United States from 2004 to 2011
BMC Veterinary Researchvolume 9, Article number: 100 (2013)
Mycobacteria other than M. bovis may interfere with current bovine tuberculosis diagnostic tests resulting in false positive test results. As the prevalence of M. bovis decreases in the United States, interference from other mycobacteria play an increasingly important role in preventing the eradication of M. bovis. To identify mycobacteria other than M. bovis that may be interfering with current diagnostic tests, a retrospective study was performed to identify mycobacteria isolated from clinical tissues at the National Veterinary Services Laboratories between 1 January 2004 and 9 October 2011.
During the study period, 2,366 mycobacteria other than M. bovis were isolated from samples submitted for clinical diagnosis of M. bovis. Fifty-five mycobacterial species were isolated during this time period. In cattle, M. avium complex, M. fortuitum/fortuitum complex, M. smegmatis, M. kansasii, and M. terrae complex were the predominate species other than M. bovis isolated from tissues submitted for culture. Mycobacteria other than M. bovis isolated from deer were predominantly M. avium complex, M. terrae/terrae complex, and M. fortuitum/fortuitum complex.
These data provide information characterizing the species and relative prevalence of mycobacteria other than M. bovis that may interfere with current diagnostic tests.
Infection with Mycobacterium bovis (M. bovis) can result in tuberculosis in many mammalian species including humans. The risk of zoonotic transmission of M. bovis from animals to humans has led to the development of the Bovine Tuberculosis eradication program in the United States [1, 2]. Discovery of M. bovis infected livestock and/or captive wildlife is reportable in the United States and results in quarantine of animals and animal products costing livestock producers and United States Government millions of dollars annually [2, 3].
Antemortem diagnosis of tuberculosis in animals is based on immunological responses (skin test or in vitro cell based assays) to a purified protein derivative (PPD). PPD derived from M. bovis (PPDb) is produced by precipitating protein from heat-killed cultures of a laboratory-adapted strain of M. bovis, AN5. PPD’s are a complex mixture of proteins, carbohydrates, and lipids  that share homology with other mycobacteria and even other bacteria ([5–8]). A number of techniques have been used to evaluate AN5 and other strains of M. bovis including M. bovis BCG to discover specific antigens to replace the complex mixture found in PPD. Several antigens have shown considerable promise in existing and emerging diagnostic assays (e.g. MPB70, MPB83, ESAT6, CFP10, and OmpTb) [9–12]. However, cross-reactivity with other mycobacterial species [13, 14] and variation in the immune response from animal to animal [15, 16] continues to hamper improved diagnostic specificity .
A key component to development of improved diagnostic assays is to identify proteins or nucleic acid sequences that are specific to M. bovis. Ideally these are only produced by M. bovis and are significantly different from those produced by other mycobacteria. To date most diagnostic targets have been identified using in vitro grown M. bovis and/or lab adapted strains (AN5, BCG). An alternative approach would be to compare field strains of M. bovis to nontuberculous mycobacteria (NTM) to which cattle and captive wildlife are exposed using genomic/proteomic approaches. Identifying the NTM to use in these comparisons is critical to this approach. Early work was performed to identify mycobacteria found in the agricultural environments (e.g. soil, water, feed, other farm animals) [17–20]. A second approach has been to identify mycobacteria cultured from skin/γ-interferon test reactors (reviewed by ). These approaches have resulted in the identification of a number of potential candidates; however, a more systematic approach may be needed to identify mycobacterial infection/exposure in the United States. Regional differences may also play a role in diagnostic failure because mycobacterial exposure in the deserts of the Southwest may be fundamentally different than those of the Northern Michigan.
The United States Department of Agriculture’s National Veterinary Services Laboratories (NVSL) is the primary M. bovis diagnostic laboratory in the Untied States and has the most comprehensive database of mycobacterial isolates from animals in the United States. Using this database a retrospective study performed to identify mycobacteria isolated from tissues submitted for clinical evaluation that may interfere with current diagnostic tests.
Mycobacteria were isolated from 2,588 of 37,841 animals or pooled samples submitted to the NVSL between 1 January 2004 and 9 August 2011. These samples were collected in the United States from naturally infected animals. The majority of the samples were from domestic cattle (28,846) and cervids (4,471) with canidae (929), suidae (599), aves (510), felidae (476), bison (453), non-human primates (416), procyonidae (261), cetacea (155), elephants (146), and exotic ruminants (94) contributing the majority of the remaining samples. The remaining samples were from disparate species such as fish, sharks, camelids, hyrax, frogs, tortoise, horses, and other species.
No mycobacteria were isolated from 92% (34,867 of 37,841) of samples submitted. Fifty-five known mycobacterial species/complexes were isolated during this time period from all animal species (Additional file 1: Tables S1 and S2). The most frequently isolated mycobacteria were members of the M. avium complex. In general M. avium species were not further characterized unless they were suspected to be M. avium ssp. paratuberculosis (MAP). Samples specifically submitted to NVSL for MAP diagnostics were excluded from this study. The second species most commonly isolated was M. bovis followed by M. fortuitum. Mycobacteria that were unable to be speciated comprised the fourth group. This group represents mycobacterial species that could not be confidently identified to the species level.
Mycobacteria isolated from cattle
NVSL received samples from 28,846 domestic cattle during the study period. Mycobacteria were isolated from 1,439 (5%). M. bovis comprised the majority (460, 32.0%) of the isolates. M. avium complex species were isolated from 367 (25.5%). M. fortuitum/M. fortuitum complex (145) made up 10.1% of the isolates recovered from cattle. Mycobacteria that could not be speciated accounted for 6.9% (100). M. smegmatis was isolated from 3.7% of the samples. The remaining non-M. bovis mycobacteria were isolated from 2% or less of the animals (Table 1).
Mycobacteria isolated from abattoir and field surveillance
The primary goal of this study was to identify mycobacteria that may be interfering with current diagnostic tests. Samples submitted to NVSL are primarily submitted through two mechanisms: (1) abattoir surveillance; or (2) field collected tissue samples. In the United States, federal and state animal health inspectors examine carcasses at the abattoir for the presence of a number of diseases including tuberculosis. When gross lesions are identified that are compatible with tuberculosis, tissues are collected and sent to NVSL for diagnosis . Mycobacteria isolated from these lesions will allow identification of mycobacteria that may produce pathology similar to M. bovis; however the test status of these animals is not known. Additional laboratory work would be needed to determine if these mycobacteria interfere with the diagnostic tests. The reason for each field sample submission is often not known nor routinely recorded at the laboratory; however, based on broad summary data from the laboratory, most field samples submitted were from test positive cattle. Unlike abattoir surveillance where visible granulomas trigger sample collection; non-lesioned tissues are routinely submitted for mycobacterial culture from field collected tissue samples. Examination of the mycobacteria isolated from field-collected samples may provide the most promising data since these samples come from test positive animals. Examining these two mechanisms independently may provide insight into the effect of environmental mycobacteria on diagnostics. We hypothesize that NTM recovered from field-collected samples are more likely to interfere with current antemortem diagnostic tests.
Mycobacteria were more likely to be isolated from field samples than abattoir submissions (p < 0.0001). Mycobacteria were isolated from 729 of 22,246 animals (3.3%) from abattoir surveillance compared to 710 of 3,360 (10.7%) animals from field surveillance. The top isolates from field surveillance cases in descending order were; M. bovis (36.2%), M. avium complex (16.5%), M. fortuitum/fortuitum complex (11.8%), mycobacteria that could not be speciated (7.2%), M. smegmatis (6.5%), M. kansasii (2.1%), and Mycobacterium pulveris (2.1%) (Table 1). The remaining isolates comprised less than 2% of the species isolated.
Mycobacteria isolated from abattoir surveillance were: M. avium complex (34.3%), M. bovis (27.8%), M. fortuitum/fortuitum complex (8.4%), mycobacteria that could not be speciated (6.7%), M. kansasii (1.8%), M. terrae complex (1.8%) and M. porcinum (1.4%). The remaining isolates comprised <1% of the mycobacterial species isolated from abattoir surveillance cases (Table 1).
Mycobacteria isolated from tissues with mycobacterium bovis compatible lesions
Histopathological examination was performed on field samples with gross lesions. Mycobacteria other than M. bovis were cultured from 11 field samples that contained microscopic lesions compatible with M. bovis infection but from which no M. bovis was cultured. The NTM isolated from these samples were: M. avium complex (5), unable to speciate (2), M. smegmatis (1), M. kansasii (1), and M. lentiflavum (1). NTM were cultured from 22 samples submitted from abattoir surveillance that contained lesions that were histopathologically compatible with M. bovis infection. These were primarily members of the M. avium complex (18). M. intermedium and M. kansasii were cultured from two abattoir submissions each.
Seasonal isolation of mycobacteria
Samples were submitted to NVSL year around. There was no apparent difference in the mycobacterial species isolated at different times of the year or by submission type. M. bovis was isolated at a similar rate regardless of the time of the year or type of submission (data not shown).
Isolation of mycobacteria from different regions in the United States
Anecdotal data from interferon-γ release assays and serum based diagnostic test validation has suggested that cross-reactivity to NTM may be different between regions of the United States. Isolates were tabulated by the region of the United States from which they originated and by submission type. Overall, M. avium complex was most frequently isolated from abattoir surveillance whereas M. bovis was the predominate isolate from field surveillance cases.
Mycobacteria isolated from samples submitted for abattoir surveillance primarily resulted in isolation of M. avium complex followed by M. bovis, M. fortuitum, uncharacterized mycobacteria, and M. kansasii. Isolations from abattoir surveillance from the South West region were predominantly M. bovis followed by M. avium complex. In the Mid-Atlantic and Southeast regions uncharacterized species played a more significant role (Table 2).
Isolation of mycobacteria from field surveillance submissions resulted in a more complex pattern. In general, M. bovis was most frequently isolated. There were several notable exceptions. In the Pacific region more M. avium complex and uncharacterized mycobacteria were isolated than M. bovis. In addition, more M. avium complex and M. smegmatis were isolated than M. bovis in the Southeast region. There were two few samples to make definitive conclusions from the Pacific North, Northeast, and Mid-Atlantic regions (Table 3).
Isolation of multiple mycobacteria from the same animal
Each submitted sample was cultured on at least one liquid medium and three solid media. Culture on solid media provided the opportunity to potentially identify co-infections. There were 13 confirmed instances where two mycobacterial species were isolated from the same animal. M. bovis was isolated with M. smegmatis (n = 4), M. lentiflavum (n = 1), and M. avium complex (n = 1). M. neoaurum was isolated with M. fortuitum (n = 1) and M. smegmatis (n = 1). The remaining co-isolates were: M. simiae and M. wolinskyi; M. smegmatis and unable to speciate; M. terrae and M. thermoresistible; M. asiaticum and M. nonchromogenicum; M. fortuitum and M. pulveris. This not an exhaustive list since NTM were generally not further identified when M. bovis had already been isolated from the animal. Most of these were recovered from the same tissue but from different media types, such as 7H11 agar and L-J. Occasionally culturing multiple tissues from the same animal would recover more than one mycobacteria. These data suggest that animals can be co-infected with at least two mycobacteria at the same time.
Mycobacteria isolated from cervids
NVSL received samples from 4,471 cervids in the United States between 1 January 2004 and 9 October 2011. Samples were submitted from both farmed and free-ranging cervids. Submission usually consisted of lymph nodes of the head, especially the retropharyngeal lymph node, and lesions from the lung, when present. Samples submitted from farmed cervids were cultured individually. Submissions from free-ranging cervids were tested individually if lesioned, and in areas of active surveillance such as around positive cattle herds. If deer were non-lesioned and outside of an active surveillance zone retropharyngeal lymph nodes from up to 5 deer were pooled. Pooled samples were treated as an individual for the purposes of this study. Mycobacteria were isolated from 482 of the 4,471 samples submitted. M. bovis (119, 24.7%) was the most commonly isolated mycobacterium, followed by M. avium complex (70, 14.5%). Uncharacterized mycobacteria comprised the third group (34. 7.1%). The next two were M. terrae/terrae complex (25, 5.2%) and M. fortuitum/fortuitum complex (20, 4.1%) (Table 4). The remaining isolates were isolated 10 or fewer times during this time period.
Samples from axis deer, caribou, fallow deer, mule deer, red deer, sika deer, white-tailed deer, elk, moose, muntjac and reindeer were submitted to NVSL for diagnosis (Table 5). Mycobacteria isolated from individual host species was similar where significant numbers of samples were submitted. Only 27 samples were submitted from abattoir surveillance. Of these, M. bovis was isolated from 6 of the samples (5 from red deer and 1 from an elk), 3 M. kansasii (elk) and 1 M. avium complex (elk). Mycobacteria were not isolated from the remainder of the submissions from abattoir surveillance.
The majority of cervid samples submitted were from field surveillance. Most of the isolates (49.2%) from deer were not characterized beyond confirmation they were not M. bovis. M. bovis was isolated from 11.8% of the animals sampled, followed by M. avium complex (10.0%), M. terrae/terrae complex (8.4%), uncharacterized mycobacteria (6.8%), and M. fortuitum/fortuitum complex (5.4%) (Table 5). Mycobacteria that were characterized in Elk (including red deer) were M. bovis (33.0%), M. avium complex (23.5%) and M. nonchromogenicum (3.0%) (Table 5).
Mycobacteria isolated from tissues with mycobacterium bovis compatible lesions
Lesions that were compatible with tuberculosis were identified histologically in cervids; however, M. bovis was the only mycobacterium that was isolated from these tissues.
Seasonal isolation of mycobacteria from cervids
Cervid samples were primarily submitted during the fall (27%) and winter months (41%). The remaining samples were submitted during the spring (16%) and summer (16%) months. All of the summer samples were received over the course of two years. This seasonal submission is expected since survey of hunter killed deer plays a substantial role in field surveillance of cervids in the United States. There was no evidence that isolation of mycobacteria from tissues was seasonal (Table 6).
Isolation of multiple mycobacteria from the same animal
Multiple mycobacteria were isolated from the same animal in 7 instances in cervids. Three mycobacteria, M. fortuitum complex, M. holsaticum, and smegmatis were isolated from one fallow deer. Other dual isolates from fallow deer included: M. nebraskense and M. simiae; and M. avium complex with M. simiae. Multiple isolations from elk included M. bovis with M. thermoresistible (n = 1) and M. nonchromogenicum (n = 1). M. fortuitum and M. smegmatis were isolated from a white-tailed deer.
Sequencing the genomes of the environmental mycobacteria that are encountered by livestock may provide researchers the ability to identify bacterial proteins or nucleic acid targets that will not cross react with M. bovis; thus enabling the development of assays with increased specificity and sensitivity. Identifying the mycobacteria that infect livestock and wildlife may enable the rational prioritization of the mycobacterial genomes to sequence to aid diagnostic test development.
A number of mycobacteria reported here have been isolated from the environment associated with cattle feed or water. Many of these have been reported to elicit reactions to PPDb based skin tests including isolates belonging to Runyan Group III , M. flavescens, M. terrae complex, M. gordonae, M. intracellulare, M. fortuitum, M. smegmatis, M. senegalense, M. scrofulaceum, (reviewed in ) and M. kansasii[23, 24]. In addition to cattle, M. fortuitum has been reported to interfere with the skin and γ-interferon test in African Buffalo [13, 14]. Immunological cross-reaction between these mycobacteria and PPDa and PPDb suggest that immunologically similar proteins exist between mycobacteria. Cross-reaction reduces specificity and sensitivity of diagnostic tests.
M. bovis and M. avium complex species are the most common mycobacteria isolated from cervids in the United States. These results are consistent with those reported for New Zealand . In contrast to cattle, more M. terrae/terrae complex were isolated from cervids than M. fortuitum/fortuitum complex.
Cervids may be more susceptible to mycobacterial infections. In this study, mycobacteria were isolated at a rate of 107 per thousand cases compared to cattle with a rate of 49.9 per thousand cases. If a herd is infected with a greater range of environmental mycobacteria there is a greater probability that the immune response to the environmental mycobacteria may cross-react with PPDa and/or PPDb thus reducing the specificity and/or sensitivity of the diagnostic test.
There are two caveats to the current data. First, not all isolates were identified to the species level. These totals may be different if all samples were speciated as far as possible. This may be most prominent in the M. avium complex isolates. Hughes et al. report that when improve molecular techniques were applied members of the M. avium group resulted in identification of a larger number of mycobacterial species . We reason that the major isolates would be similar, but some of the minor species may play a larger role than currently indicated by the data. Not all isolates were speciated due to the priority of the diagnostic laboratory to identify and report M. bovis infections. Some isolates were not speciated because they could not be confidently assigned to the species level (Unable to Speciate). This inability to speciate each mycobacterial isolate was also reported by Hues et al.  in Northern Ireland, suggesting that not all mycobacterial species have been identified.
A second caveat is that not all mycobacteria are cultivatable. The possibility exists that the mycobacteria that cause significant interference with current diagnostic tests are unculturable. A prime example of this scenario is the infrequent yet persistent finding of CCT positive cattle with lesions only found in the skin. Histopathological examination reveals the presence of acid-fast bacteria, but culture attempts are always unsuccessful.
With the advent of next generation sequencing, the possibility exists that mycobacterial species could be sequenced with little capital investment. Regions or proteins unique to M. bovis could be derived by comparing the M. bovis genome with environmental mycobacteria. These unique regions could then be tested for use in protein or nucleic acid based tests. The problem with this approach has been the difficulty in selecting the environmental mycobacteria to sequence. Here we report the mycobacteria isolated from cattle and cervids in the United States. These data provide a rational for selection of mycobacteria for genome sequencing to aid in the development of improved diagnostic tests.
Between 1 January 2004 and 9 October 2001, 2,389 nontuberculous mycobacteria were isolated from samples submitted for clinical diagnosis of M. bovis. In cattle, M. avium complex, M. fortuitum/fortuitum complex, M. smegmatis, and M. kansasii were the predominate species. Un-speciated Mycobacteria were the most commonly isolated category of mycobacteria isolated from deer followed by M. bovis, M. avium complex, M. terrae/terrae complex then M. fortuitum/fortuitum complex.
Mycobacterial culture and identification
The samples submitted from cattle and cervids are collected under the purview of the national eradication program using trained state and federal veterinary medical officers. This collection methodology results in high quality sample submission. Samples were shipped in sodium borate as described previously [27, 28]. Tissue samples were trimmed of fat and some connective tissue, soaked in a 0.065% solution of sodium hypochlorite for 15 ± 5 minutes, placed in individual sterilized pint jars, covered with phenol red nutrient broth and then homogenized. Samples were transferred to 50 ml centrifuge tubes and decontaminated with a 0.8-1.8% final concentration of sodium hydroxide for 7–10 minutes and neutralized to effect with hydrochloric acid. Samples were then centrifuged at 4,800 × g for 20 minutes. Media selection depended upon the species of the samples, suspected disease and risk of infection. In general at least one liquid media (either BACTEC 12B (Becton Dickinson, Sparks, MD, USA) and MGIT 960 (Becton Dickinson, Sparks, MD, USA) were used and a minimum of 3 solid media types were used for each sample. Solid media used from most common to least common were: 7H11 supplemented with calf serum, lysed sheep blood, sodium pyruvate, and malachite green; 7H10 prepared with pyruvate; Mycobactosel LJ (Becton Dickinson, Sparks, MD, USA); Lowenstein Jensen (Becton Dickinson, Sparks, MD, USA); Stonebrinks; 7H11 supplemented with calf serum, lysed sheep blood, glycerol, and malachite green; 7H10 prepared with glycerol; and Herrold’s Egg Yolk Agar. In general we did not use mycobactin J supplemented media unless specifically asked by the submitter. Detailed performance of this decontamination method and media is published elsewhere . Commercial DNA probes (Gen-Probe, San Diego, CA) were used to identify M. tuberculosis complex (MTBC) and M. avium complex organisms. MTBC probe positive isolates were subject to spoligotyping and niacin/nitrate biochemical testing to speciate M. bovis[30, 31]. Prior to 2009, isolates submitted for M. bovis culture that were DNA probe positive for M. avium complex were not tested further. NTM identification was based from partial 16S rDNA sequencing and biochemical testing from 2004 through 2009 [31, 32]. Sequences were compared using the RIDOM database . An isolate with a nucleotide match greater than 99.3% with no biochemical mismatches were identified to the species level. Isolates with nucleotide homology greater than 99.3% with biochemical mismatches were reported at the complex level (e.g. Mycobacterium avium complex). When the nucleotide match was greater than 98.5% but less than 99.3% and it fell with a complex the isolate was reported at the complex level. Isolates that had nucleotide homology was less than 98.5% but greater than 96% were reported as “unable to speciate”. After 2009, partial sequencing of rpoB and hsp65 regions replaced biochemical testing when needed for higher resolution [34, 35]. At this time, DNA probes for M. avium complex were abandoned and rpoB sequencing was used in place of this procedure. This provided greater species resolution and those results are published elsewhere . Those same isolates are included in this paper, but only at the complex level to maintain consistency to prior years.
Data collection and database development
The following information was obtained from the NVSL databases; accession number, date sample received at NVSL, submission type (abattoir or field), result of mycobacterial identification, species or source of sample, histological result, and the state of origin. MySQL (version 5.5.12) was used to build a custom database for data analysis. Initial analysis included filtering to remove redundant data (i.e. when M. bovis was isolated from more than one tissue the duplicates were removed so that each animal only appears once in the data base). The only time an animal appears more than once is when more than one mycobacterium was isolated from that animal.
Designation of season and region
Data were aggregated by the time of year the sample was received for some analysis. The following criteria were used: Winter months were December through February; Spring months were March through May; Summer months were June through August; and Fall months were September through November. When data were aggregated by Region of the United States the following criteria were used: Central Plains included Iowa, Illinois, Kansas, Missouri, Nebraska; Great Lakes included Indiana, Michigan, Minnesota, Ohio, Wisconsin; Mid-Atlantic included District of Columbia, Maryland, New Jersey, Pennsylvania, Virginia, West Virginia; Mountain included Colorado, Idaho, Montana, North Dakota, South Dakota, Utah, Wyoming; Northeast included Connecticut, Delaware, Massachusetts, New Hampshire, New York, Rhode Island, Vermont, Maine; Pacific encompassed California, Hawaii, Nevada; Pacific North included Alaska, Oregon, Washington; Southeast encompassed Alabama, Arkansas, Florida, Georgia, Kentucky, Louisiana, Mississippi, North Carolina, South Carolina, Tennessee; and the Southwest included Arizona, New Mexico and Texas.
Chi-square test was used to test for the association between isolation of mycobacteria and type of submission (field vs abattoir cases) in a 2×2 contingency table. The test was applied using Prism version 5.0d (GraphPad Software Inc., San Diego, CA).
Waters WR, Palmer MV, Buddle BM, Vordermeier HM: Bovine tuberculosis vaccine research: historical perspectives and recent advances. Vaccine. 2012, 30: 2611-2622. 10.1016/j.vaccine.2012.02.018.
Palmer MV, Waters WR: Bovine tuberculosis and the establishment of an eradication program in the United States: role of veterinarians. Vet Med Int. 2011, 2011: 816345.
USDA: Assessment of Pathways for the Introduction and Spread of Mycobacterium Bovis In the United States, 2009. 2011, Fort Collins: CO: USDA-APHIS-VS-CEAH, 140.
Monaghan ML, Doherty ML, Collins JD, Kazda JF, Quinn PJ: The tuberculin test. Vet Microbiol. 1994, 40: 111-124. 10.1016/0378-1135(94)90050-7.
Bloom BR: Bloom (1994) Tuberculosis: Pathogenesis, Protection, and Control.Washington, DC: ASM Press; 1994.
Chaparas SD, Maloney CJ, Hedrick SR: Specificity of tuberculins and antigens from various species of mycobacteria. Am Rev Respir Dis. 1970, 101: 74-83.
Thorns CJ, Morris JA: Shared epitopes between mycobacteria and other microorganisms. Res Vet Sci. 1986, 41: 275-276.
Sørensen AL, Nagai S, Houen G, Andersen P, Andersen AB: Purification and characterization of a low-molecular-mass T-cell antigen secreted by Mycobacterium tuberculosis. Infect Immun. 1995, 63: 1710-1717.
Young DB, Kaufmann SH, Hermans PW, Thole JE: Mycobacterial protein antigens: a compilation. Mol Microbiol. 1992, 6: 133-145. 10.1111/j.1365-2958.1992.tb01994.x.
Pollock JM, Andersen P: Predominant recognition of the ESAT-6 protein in the first phase of interferon with Mycobacterium bovis in cattle. Infect Immun. 1997, 65: 2587-2592.
Pollock JM, Douglas AJ, Mackie DP, Neill SD: Identification of bovine T-cell epitopes for three Mycobacterium bovis antigens: MPB70, 19,000 MW and MPB57. Immunology. 1994, 82: 9-15.
Schiller I, Vordermeier HM, Waters WR, Palmer MV, Thacker TC, Whelan AO, Hardegger R, Marg-Haufe B, Raeber A, Oesch B: Assessment of Mycobacterium tuberculosis OmpATb as a novel antigen for the diagnosis of bovine tuberculosis. Clin Vaccine Immunol. 2009, 16: 1314-1321. 10.1128/CVI.00151-09.
Michel AL: Mycobacterium fortuitum infection interference with Mycobacterium bovis diagnostics: natural infection cases and a pilot experimental infection. J Vet Diagn Invest. 2008, 20: 501-503. 10.1177/104063870802000415.
Michel AL, Cooper D, Jooste J, de Klerk L-M, Jolles A: Approaches towards optimising the gamma interferon assay for diagnosing Mycobacterium bovis infection in African buffalo (Syncerus caffer). Prev Vet Med. 2011, 98: 142-151. 10.1016/j.prevetmed.2010.10.016.
Waters WR, Palmer MV, Thacker TC, Bannantine JP, Vordermeier HM, Hewinson RG, Greenwald R, Esfandiari J, McNair J, Pollock JM, Andersen P, Lyashchenko KP: Early antibody responses to experimental Mycobacterium bovis infection of cattle. Clin Vaccine Immunol. 2006, 13: 648-654. 10.1128/CVI.00061-06.
Lyashchenko KP, Pollock JM, Colangeli R, Gennaro ML: Diversity of antigen recognition by serum antibodies in experimental bovine tuberculosis. Infect Immun. 1998, 66: 5344-5349.
Mallmann WL, Mallmann VH, McGavin MD, Ray JA: A study of pathogenicity of Runyon group 3 organisms isolated from bovine and porcine sources. Am Rev Respir Dis. 1965, 92: 82-84.
McGavin MD, Mallmann VH, Mallmann WL, Morrill CC: Lesions and tuberculin sensitivity in calves inoculated with group III mycobacterial isolates from swine, pen soil, and cattle feed. Am J Vet Res. 1975, 36: 641-644.
Mallmann WL, Mallmann VH, Ray JA: Bovine tuberculosis: what we know, do not know and need to know in order to eradicate. Proc Annu Meet US Anim Health Assoc. 1964, 68: 327-332.
Duffield BJ, Norton JH, Streeten TA: Application of the comparative cervical test to the identification of false positive reactions to the bovine tuberculin caudal fold test. Aust Vet J. 1985, 62: 424-426.
Bercovier H, Vincent V: Mycobacterial infections in domestic and wild animals due to Mycobacterium marinum, M. fortuitum, M. chelonae, M. porcinum, M. farcinogenes, M. smegmatis, M. scrofulaceum, M. xenopi, M. kansasii, M. simiae and M. genavense. Rev - Off Int Epizoot. 2001, 20: 265-290.
Kaneene JB, Miller R, Meyer RM: Abattoir surveillance: the U.S. experience. Vet Microbiol. 2006, 112: 273-282. 10.1016/j.vetmic.2005.11.018.
Waters WR, Whelan AO, Lyashchenko KP, Greenwald R, Palmer MV, Harris B, Hewinson RG, Vordermeier HM: Immune responses in cattle inoculated with Mycobacterium bovis, Mycobacterium tuberculosis, or Mycobacterium kansasii. Clin Vaccine Immunol. 2010, 17: 247-252. 10.1128/CVI.00442-09.
Waters WR, Palmer MV, Thacker TC, Payeur JB, Harris B, Minion FC, Greenwald R, Esfandiari J, Andersen P, McNair J, Pollock JM, Lyashchenko KP: Immune responses to defined antigens of Mycobacterium bovis in cattle experimentally infected with Mycobacterium kansasii. Clin Vaccine Immunol. 2006, 13: 611-619. 10.1128/CVI.00054-06.
Mackintosh CG, de Lisle GW, Collins DM, Griffin JF: Mycobacterial diseases of deer. N Z Vet J. 2004, 52: 163-174. 10.1080/00480169.2004.36424.
Hughes MS, Ball NW, McCarroll J, Erskine M, Taylor MJ, Pollock JM, Skuce RA, Neill SD: Molecular analyses of mycobacteria other than the M. tuberculosis complex isolated from Northern Ireland cattle. Vet Microbiol. 2005, 108: 101-112. 10.1016/j.vetmic.2005.03.001.
Miller JM, Jenny AL, Payeur JB: Polymerase chain reaction detection of Mycobacterium tuberculosis complex and Mycobacterium avium organisms in formalin-fixed tissues from culture-negative ruminants. Vet Microbiol. 2002, 87: 15-23. 10.1016/S0378-1135(02)00027-5.
Richards WD, Wright HS: Preservation of tissue specimens during transport to mycobacteriology laboratories. J Clin Microbiol. 1983, 17: 393-395.
Robbe-Austerman S, Bravo DM, Harris B: Comparison of the MGIT 960, BACTEC 460TB and Solid Media for Isolation of Mycobacterium Bovis in United States Veterinary Specimens. BMC Vet Res. 2013, 9: 72-10.1186/1746-6148-9-72.
Kamerbeek J, Schouls L, Kolk A, van Agterveld M, van Soolingen D, Kuijper S, Bunschoten A, Molhuizen H, Shaw R, Goyal M, van Embden J: Simultaneous detection and strain differentiation of Mycobacterium tuberculosis for diagnosis and epidemiology. J Clin Microbiol. 1997, 35: 907-914.
Vestal AL: Identification Test Techniques. In Procedures for the Isolation and Identification of mycobacteria. Atlanta, Georgia, USA: Dept. of Health,Education, and Welfare, Public Health Service, Center for Disease Control,Bureau of Laboratories, Training and Consultation Division; 1975:65–90.
Clarridge JE: Impact of 16S rRNA gene sequence analysis for identification of bacteria on clinical microbiology and infectious diseases. Clin Microbiol Rev. 2004, 17: 840-62. 10.1128/CMR.17.4.840-862.2004. table of contents
Harmsen D, Rothgänger J, Frosch M, Albert J: RIDOM: ribosomal differentiation of medical micro-organisms database. Nucleic Acids Res. 2002, 30: 416-417. 10.1093/nar/30.1.416.
McNabb A, Eisler D, Adie K, Amos M, Rodrigues M, Stephens G, Black WA, Isaac-Renton J: Assessment of partial sequencing of the 65-kilodalton heat shock protein gene (hsp65) for routine identification of Mycobacterium species isolated from clinical sources. J Clin Microbiol. 2004, 42: 3000-3011. 10.1128/JCM.42.7.3000-3011.2004.
Ben Salah I, Adékambi T, Raoult D, Drancourt M: rpoB sequence-based identification of Mycobacterium avium complex species. Microbiology (Reading, Engl). 2008, 154: 3715-3723. 10.1099/mic.0.2008/020164-0.
Higgins J, Camp P, Farrell D, Bravo D, Pate M, Robbe-Austerman S: Identification of Mycobacterium spp. of veterinary importance using rpoB gene sequencing. BMC Vet Res. 2011, 7: 77-10.1186/1746-6148-7-77.
The authors declare that they have no competing interests.
TCT, SRA, and BH conceived the study and participated in developing quality control parameters of the data. TCT built the database and analyzed the data. All authors participated in data interpretation. Manuscript was written by TCT, reviewed and edited by SRA, BH, MVP, WRW. All authors read and approved the final manuscript.