Skip to main content
PLOS One logoLink to PLOS One
. 2020 Apr 16;15(4):e0231545. doi: 10.1371/journal.pone.0231545

Occurrence of Mycoplasma gallisepticum in wild birds: A systematic review and meta-analysis

Anna Sawicka 1,*, Maciej Durkalec 2,*, Grzegorz Tomczyk 1, Olimpia Kursa 1
Editor: Grzegorz Woźniakowski3
PMCID: PMC7162529  PMID: 32298318

Abstract

Mycoplasma gallisepticum is one of the most important poultry pathogens that can also infect wild birds, but knowledge of potential non-poultry hosts that could be reservoirs of M. gallisepticum is limited. For the paper presented here, we screened three databases (PubMed, Scopus, and the Web of Knowledge) to find articles on the occurrence of M. gallisepticum in different wild bird species that were published between 1951 and 2018. Among 314 studies found, we selected and included 50 original articles that met the pre-established criteria. From those publications we extracted the following information: name of the first author, year of publication, year of sample isolation, country, region, number of birds sampled, number of birds tested by each method, number of positive samples, diagnostic criteria, and if birds were wild or captive. Because different detection techniques were used to confirm the presence of M. gallisepticum in one animal, we decided to perform the meta analyses separately for each method. The estimated prevalence of M. gallisepticum in wild birds was different by each method of detection. Our summary revealed that M. gallisepticum was present in 56 species of bird belonging to 11 different orders, of which 21 species were reported suffering both past and current infection. Our work provides information on wild bird species that could be considered potential reservoirs or carriers of M. gallisepticum and could be helpful to set the direction for future research on the spread and phylogeny of M. gallisepticum in different hosts.

1. Introduction

Mycoplasmas are the smallest self-replicating bacteria that can cause acute and chronic diseases in humans, animals, insects, and plants [1]. More than twenty species of Mycoplasma genus have been described in avian hosts, but Mycoplasma gallisepticum (MG) is one of the most important pathogens of poultry and wild birds [2]. Mycoplasmosis was described as a respiratory disease of poultry for the first time in the early 1900s. However, there is a discrepancy about when exactly mycoplasmosis was first described. According to Charlton et al. [3], mycoplasmosis was described for the first time as a respiratory disease in turkeys in 1926, and in chickens in 1936, whereas Luttrell and Fisher [4] described its occurrence primarily in domestic poultry in 1905 and Saadh and Hasani [5] defined the first isolation as having been in chickens in 1931 [6]. The causative agent MG was successfully cultured in 1960 by Edward and Kanarek [7]. Since frequent occurrences of MG in flocks of domestic poultry have been being reported, the role of wild birds as potential reservoir and vectors of MG has been of interest to the scientific community worldwide. Initial research in this field focused primarily on MG seroprevalence in the wild turkey (Meleagris gallopavo) [8,9]. The first case of MG isolation from the Eurasian tree sparrow (Passer montanus) was described by Shimizu et al. [10] in Japan. The authors obtained Mycoplasma strains from live tree sparrows caught in chicken pens or captured in the field or from dead birds and MG isolates were identified serologically. Later, in the USA MG strains were also identified in wild turkeys by Jessup et al. [11] and Adrian [12]. However, in all these cases the reason for infection was probably the close contact between wild birds and domestic poultry. One of the most extensively documented MG infections was a large-scale epidemic of mycoplasmal conjunctivitis caused by MG in house finches. Ley et al. [13] was one of the first to successfully isolate MG from house finches with conjunctivitis. Luttrell et al. [14] compared the prevalence of MG in house finches with and without conjunctivitis and the results of the study showed that MG was isolatable from birds with conjunctivitis as well as from healthy birds. Within a few years of the outbreak, the epidemic had spread rapidly across the eastern North American range of the host species [15]. Clinical MG infection was also reported also in American goldfinch (Spinus tristis) [1620], purple finch (Carpodacus purpureus), and house sparrow (Passer domesticus) [19]. However, the mycoplasmosis did not lead to such large changes in the population dynamics of those species as those reported in house finches [21,22]. Phylogenetic analysis revealed that the source of MG infection in house finches were strains originating from turkeys and chickens [23], and the responsibility for this shift to a novel host may lie with the tuning of the existing gene repertoire of MG that encodes variable antigenic lipoproteins [24]. A more recent experiment showed that domestic poultry could remain susceptible to infection with house finch MG but the virulence of reintroduced strains could be lower than in the house finch [25]. The authors suggested that the virulence of MG strains could decrease with its adaptation to wild species of birds.

In recent decades many methods have been described and adapted for the diagnosis of MG. The available methods are based primarily on culture or molecular and serological tests. The culture method was generally regarded as the gold standard for the definitive diagnosis of mycoplasmal infections. Nevertheless, cultivation techniques have also some weaknesses. The most common problems with the cultivation of MG from a clinical sample in the laboratory are overgrowth of faster-growing Mycoplasma species or no growth in the subculture [26]. However, some past studies showed problems with primary isolations of MG in wild birds [13,27]. Also, the species identity for mycoplasmas growing on agar should be confirmed by additional procedures, e.g., by polymerase chain reaction (PCR) or immunoserological assay [28].

The development of new laboratory methods has had a great impact on the diagnosis of clinical infections, delivering results in much less time. The primary advantage of PCR is that it is a rapid and sensitive method of detection of DNA which provides an alternative method for direct detection of the organism. Additionally, it represents a useful tool for molecular characterization and may help in epidemiological studies to determine the source of infections and the relationships among strains.

Different serological assays were used to diagnose MG, including the serum plate agglutination assay (SPA), hemagglutination inhibition test (HI), and enzyme-linked immunosorbent assay (ELISA). The SPA test is quick, relatively inexpensive, and sufficiently sensitive and it has been commonly used as a screening procedure in routine programs of MG infection monitoring in commercial poultry. Antibodies against MG can be detected a minimum of one week after infection in agglutination tests and up to three weeks by HI [29]. The SPA assay detects immunoglobulin M (IgM), which is an indicator of recent primary infection. Due to nonspecific reactions and interspecies cross-reactivity, all of the positive results detected by the SPA should be confirmed by a different method. The HI assay might be expected to be confirmatory, but in fact, it detects only the Y class of immunoglobulins (IgY), often mislabeled as immunoglobulin G (IgG). Immunoglobulin Y is responsible for responding to mycoplasma antigen in later stages of infection [30], and therefore detecting both types of immunoglobulins at the same time is sometimes impossible.

The ELISA is another serological assay measuring antibody levels. However, it is rarely used for the diagnosis of Mycoplasmatales in wild birds. The main problem with using ELISA is the lack of commercial antibodies for detection of immunoglobulins from wild birds [31]. Previous studies have shown that an antibody that was produced using sera of four species recognized multiple avian species and provided breadth of coverage for bird diagnosis [32]. Anti-chicken antibodies have also been determined by Martínez [31] as useful for different bird species. Nevertheless, each of those solutions has some limitations and any positive results obtained using a broad-spectrum secondary antibody should be confirmed by another method [33].

A synthetic summary of the previous work on Mycoplasma gallisepticum in various species of wild birds could be a valuable source of information on the occurrence of this pathogen in different hosts worldwide. Our study aimed to evaluate and summarize the existing knowledge on the occurrence of MG in wild birds originating from different countries located in different parts of the world, belonging to different orders and species, and categorized as wild or captive (if such information was available). In our work, we revealed numerous wild bird species that could be considered as potential reservoirs and carriers of MG. We also synthesized the information on the most common methods and techniques used for the detection of MG infections to find potential gaps in procedures and ways of reporting the results.

2. Materials and methods

Systematic review and meta-analysis were used to estimate Mycoplasma gallisepticum occurrence in wild birds to identify data gaps. Our work was performed following the preferred reporting items for systematic reviews and meta-analyses (PRISMA) statement [34] and the meta-analysis of observational studies in epidemiology (MOOSE) guideline [35]. The PRISMA checklist is reproduced in S1 Table.

2.1. Literature search

Literature searches for published studies were made during the first week of January 2019. Three databases (the Web of Science, PubMed, and Scopus) were searched for studies published from the 1st of January, 1951 to the 31st of December, 2018 using the conjunction of the following key words: “Mycoplasma gallisepticum”, “wild”, “birds”. We also screened the reference lists of all retrieved articles and previous reviews by Benskin et al. [36], Dhondt et al. [2], and Faustino et al. [37] to find other relevant publications by hand.

2.2 Selection criteria

The first selection of studies was made based on information specified in the title and abstract. The second step was to verify the full text of the article, if available. Studies were included if they met the pre-established criteria: (1) they reported data from an original peer-reviewed study; (2) they contained extractable information about the occurrence of MG in wild bird species (3); they provided an adequate description of the bird species tested (4); they provided a sufficient description of the method used (5); they defined the outcome of serological, culture or molecular biology methods (6); and they were published in English. Studies providing a review or reporting genomics, duplicate publications of the same study, articles available only as an abstract, and experimental trials were excluded. However, we included data from two articles [14,18] in which birds were captured in the wild, tested for the presence of MG, and then used in experimental trials. Only data for MG screening after capturing of birds were extracted from those two papers and included in our database. We also excluded articles or parts of articles in which the occurrence of MG was detected in semi-wild birds, pet birds or birds kept in zoological gardens.

2.3. Data extraction

Full texts of articles were reviewed, and relevant data were extracted independently by two authors (AS and MD). In the case of disagreements, all of the concerns were resolved by discussion. The following information was extracted from each study: the author’s name, year of publication, year of study, country, region, number of birds sampled, number of birds tested by each method, number of MG-positive samples, and diagnostic criteria. The number of birds tested and the number of samples found positive by the culture method and PCR were extracted regardless of the part of the respiratory tract from which the swab was taken. All extracted records were also categorized according to the birds’ habitat as “wild”, “captive” or, if that information was not available in the text, “unknown”. Data were extracted and coded into a predefined table using Excel (Microsoft Office 2016, Microsoft Corp., Redmond, WA, USA). The created database was double-checked independently by two authors (AS and MD).

2.4. Data preprocessing

Because we found inconsistencies in the taxonomic nomenclature used by authors, we unified scientific and common names of bird species according to the current taxonomic nomenclature (Avibase, n.d.) and we limited the level of detail to the species. We also unified the names of diagnostic tests (e.g. rapid serum plate agglutination (RSA), serum plate agglutination (SPA), and plate agglutination tests (PA) were coded as “SPA”).

2.5. Bias assessment

It was found that conventional funnel plots (plots of the log of effect measures versus standard error) are inaccurate in analysis of publication bias of proportional studies because they produce spurious asymmetry in the plot even when publication bias does not exist [38]. Due to the high diversity between study designs, unequal and small sample sizes, the presence of zero events in some selected papers and the limited application of publication bias assessment in studies of the prevalence, we decided to include all of the papers without assessing the bias of individual studies.

2.6. Statistical analysis

All calculations were performed using R version 3.6.1 [39]. The dplyr package version 0.8.3 was used for data manipulation [40]. We performed a meta-analysis of single-proportion data using the inverse-variance method and arcsine transformation, which appears to be the best classic method of data transformation for this type of data [41]. The estimated prevalence and 95% confidence intervals (CIs) were calculated using the metaprop command implemented in the meta package version 4.9–7 [42] after the choice was made of the Wilson method was for the calculation of the intervals [43]. For the pooled data, an inconsistency index (I2) was calculated to estimate the heterogeneity. The random-effect model was chosen because of high heterogeneity. We also performed a subgroup analysis for countries, regions, orders, species, and captivity status. Because in many articles more than one diagnostic method was reported, we decided to perform meta-analyses for each method separately. The following packages were used to visualize search results: ggplot2 version 3.2.1 [44], wordcloud package version 2.6 [45], and upset package version 1.4.0 [46].

3. Results

3.1. Search summary

A total of 316 studies were collected from databases and by hand searching. Articles totaling 147 articles were removed as duplicates. After the first assessment based on the title and abstract evaluation, 54 articles were excluded, yielding 115 studies for the second screening that seemed eligible for full-text review. There were six articles among those papers that did not contain all of the necessary information. We contacted the corresponding authors and we did not receive any reply, and consequently those articles were excluded at that stage. In summary, a total of 63 papers were excluded after assessment of the full text because they not met the pre-established criteria. A total of 52 papers were included based on the results of the systematic review, as shown in Fig 1 and listed in S2 Table. Data extracted from publications and included in systematic review and meta-analysis are available in S1 Dataset.

Fig 1. Flow diagram.

Fig 1

The diagram shows the number of studies on the occurrence of Mycoplasma gallisepticum in wild birds from 1951 to 2018 that were found, assessed, included and excluded.

Of these, 35 of the papers were from the USA, 4 were from Brazil, 2 were from the Galápagos Islands, 4 were from European countries, 3 were from other North America countries, 3 were from Asian countries and 1 was from Namibia and South Africa (S3 Table).

The majority of the studies concerned Passeriformes (N = 26) and Galliformes (N = 23) followed by the Columbiformes (N = 7), Accipitriformes (N = 7), and Falconiformes (N = 6), Anseriformes (N = 4) (Fig 2A) and the most frequently tested species were the wild turkey (N = 18) and house finch (N = 12) (Fig 2B). For the clarification, the number of studies by order and species of birds was summarized in S4 Table.

Fig 2.

Fig 2

Word clouds showing the number of studies on the occurrence of Mycoplasma gallisepticum in wild birds from 1951 to 2018 that were found by order (A) and by species (B). The size of the word indicates the number of studies concerning particular order or species.

We revealed that in 22 studies, the authors used both methods that detect the presence of the pathogen (culture and PCR methods) and anti-MG antibodies. Nineteen studies reported only the result of MG seroprevalence and 11 articles used only methods of pathogen detection. A culture method, PCR and serological tests were used in 5 studies, a culture method and PCR were used in 3 studies, a culture method and serological tests were used in 11 studies, and serological tests and PCR in 6 studies. In 5 articles the authors used only PCR and in 20 articles only serological tests. The most frequent serological test was SPA (31/52 articles), followed by HI (21/52) and ELISA (6/52) (Fig 3).

Fig 3. The UpSetR plot showing the frequency of the use of a particular method and their intersections in studies on the occurrence of Mycoplasma gallisepticum in wild birds from 1951 to 2018.

Fig 3

The horizontal bars with labels at the lower left of the panel represent five methods, with the length of each bar displaying the total number of studies. The dot pattern shows the intersections between methods used and the vertical bars at the top of the plot show the number of the corresponding intersection, ranked by a decreasing number of studies.

The number of studies using a particular method with the year of publication was shown in Fig 4.

Fig 4. The barplot showing the number of studies by year of publication.

Fig 4

Colors represent a particular diagnostic method.

Mycoplasma gallisepticum was cultured from 11 passeriform, 1 falconiform and 1 galliform species. The genetic material of MG was found in 36 species belonging to 6 orders. The presence of antibodies against MG was found by SPA in 33 bird species belonging to 16 families and 6 orders and by HI in 10 species from 4 orders including Accipitriformes, Galliformes, Falconiformes and Passeriformes. By ELISA test, the presence of immunoglobulins against MG was found in 7 species belonging to 5 orders. By other serological methods, the presence of anti-MG antibodies was confirmed in 2 species. All information regarding MG-positive results in different species of wild birds and different countries is summarized in Table 1.

Table 1. The number of MG-positive birds (number of positive birds/number of birds tested) by taxonomy, country and method of detection.

Order Family Species common name (scientific name) Culture PCR SPA HI ELISA Other Country No. of studies References
Accipitriformes Cathartidae black vulture (Coragyps atratus) 1/9 0/1 Brazil 1 [47]
Accipitriformes Cathartidae California condor (Gymnogyps californianus) 17/120 17/17 USA 1 [48]
Anseriformes Anatidae mallard (Anas platyrhynchos) 1/57 1/57 Belgium 1 [49]
Columbiformes Columbidae common wood pigeon (Columba palumbus) 1/80 1/80 Belgium 1 [49]
Columbiformes Columbidae mourning dove (Zenaida macroura) 0/54 3/54 0/54 USA 1 [18]
Falconiformes Falconidae peregrine falcon (Falco peregrinus) 2/2 2/2 Spain 1 [50]
Falconiformes Falconidae prairie falcon (Falco mexicanus) 1/34 USA 1 [51]
Galliformes Phasianidae wild turkey (Meleagris gallopavo) 4/912 0/1 319/3431 36/1718 0/86 12/250 USA 13 [8,52, 5360,6163]
Galliformes Phasianidae lesser prairie-chicken (Tympanuchius pallidicinctus) 8/162 USA 1 [64]
Passeriformes Corvidae Eurasian magpie (Pica pica) 1/10 1/10 Belgium 1 [49]
Passeriformes Fringillidae evening grosbeak (Coccothraustes vespertinus) 1/2 1/1 Canada 1 [65]
Passeriformes Fringillidae pine grosbeak (Pinicola enucleator) 0/3 3/3 Canada 1 [65]
Passeriformes Passeridae Eurasian tree sparrow (Passer montanus) 6/94 4/94 Japan 1 [10]
Passeriformes Corvidae house crow (Corvus splendens) 44/148 4/94 0/45 27/45 Malaysia 1 [66]
Passeriformes Corvidae rook (Corvus frugilegus) 0/13 4/13 UK 1 [67]
Passeriformes Bombycillidae cedar waxwing (Bombycilla garrulus) 1/10 0/10 USA 1 [17]
Passeriformes Cardinalidae northern cardinal (Cardinalis cardinalis) 0/55 1/83 14/83 0/6 USA 3 [17,18,68]
Passeriformes Corvidae western scrub-jay (Aphelocoma californica) 1/1 2/2 USA 2 [16,20]
Passeriformes Corvidae American crow (Corvus brachyrhynchos) 1/2 2/2 USA 1 [20]
Passeriformes Corvidae blue jay (Cyanocitta cristata) 2/6 2/5 1/3 USA 3 [13,18,20]
Passeriformes Fringillidae pine siskin (Carduelis pinus) 2/154 3/154 USA 1 [17]
Passeriformes Fringillidae evening grosbeak (Coccothraustes vespertinus) 2/2 2/2 USA 1 [20]
Passeriformes Fringillidae house finch (Haemorhous mexicanus) 299/524 406/1384 359/1356 48/313 14/52 USA 11 [13,14,16,17,19,20,27,6870,71]
Passeriformes Fringillidae purple finch (Haemorhous purpureus) 3/3 6/37 3/52 USA 4 [16,17,19,20]
Passeriformes Fringillidae lesser goldfinch (Spinus psaltria) 2/2 4/4 USA 2 [16,20]
Passeriformes Fringillidae American goldfinch (Spinus tristis) 5/51 26/643 18/590 USA 6 [1620,69]
Passeriformes Icteridae red-winged blackbird (Agelaius phoeniceus) 0/1 3/75 1/75 USA 2 [17,18]
Passeriformes Icteridae brown-headed cowbird (Molothrus ater) 0/184 0/21 16/201 1/167 USA 5 [1719,68,72]
Passeriformes Icteridae common grackle (Quiscalus quiscula) 0/143 0/3 87/143 50/136 USA 2 [68,72]
Passeriformes Icteridae eastern meadowlark (Sturnella magna) 0/24 4/24 4/24 USA 1 [72]
Passeriformes Mimidae gray catbird (Dumetella carolinensis) 0/2 0/47 5/47 USA 2 [17,18]
Passeriformes Mimidae northern mockingbird (Mimus polyglottos) 0/12 0/12 4/12 0/1 USA 2 [18,68]
Passeriformes Mimidae brown thrasher (Toxostoma rufum) 0/9 0/9 4/9 USA 1 [18]
Passeriformes Paridae tufted titmouse (Baeolophus bicolor) 0/45 12/81 41/89 7/25 USA 4 [1719,68]
Passeriformes Paridae black-capped chickadee (Poecile atricapillus) 0/1 1/161 11/160 USA 2 [17,20]
Passeriformes Paridae Carolina chickadee (Poecile carolinensis) 0/18 0/18 3/18 USA 2 [18,68]
Passeriformes Parulidae common yellowthroat (Geothlypis trichas) 1/13 0/13 USA 1 [17]
Passeriformes Parulidae yellow-rumped warbler (Setophaga coronata) 0/1 0/1 1/1 0/1 USA 1 [68]
Passeriformes Passerellidae dark-eyed junco (Junco hyemalis) 1/15 0/15 USA 1 [17]
Passeriformes Passerellidae song sparrow (Melospiza melodia) 1/121 7/121 USA 1 [17]
Passeriformes Passerellidae American tree sparrow (Spizella arborea) 1/46 2/46 USA 1 [17]
Passeriformes Passerellidae chipping sparrow (Spizella passerina) 0/21 0/21 5/21 USA 2 [18,68]
Passeriformes Passerellidae white-throated sparrow (Zonotrichia albicollis) 0/3 1/24 4/24 0/3 USA 2 [17,68]
Passeriformes Passerellidae white-crowned sparrow (Zonotrichia leucophrys) 1/23 1/23 USA 1 [17]
Passeriformes Passeridae house sparrow (Passer domesticus) 0/348 1/144 19/459 3/309 USA 3 [17,18,68,72]
Passeriformes Sturnidae common starling (Sturnus vulgaris) 0/98 0/1 1/98 1/98 USA 2 [68,72]
Passeriformes Turdidae American robin (Turdus migratorius) 0/3 0/22 6/22 0/3 USA 2 [17,68]
Pelecaniformes Ardeidae grey heron (Ardea cinerea) 2/4 2/4 Belgium 1 [49]
Piciformes Picidae downy woodpecker (Picoides pubescens) 1/36 1/36 USA 1 [17]
Psittaciformes Psittacidae Amazon parrot (Amazona aestiva) 31/59 Brazil 1 [73]
Psittaciformes Psittacidae orange-winged parrot (Amazona amazonica) 1/2 Brazil 1 [73]
Psittaciformes Psittacidae blue-and-yellow macaw
(Ara ararauna)
4/5 Brazil 1 [73]
Psittaciformes Psittacidae jandaya parakeet or jandaya conure (Aratinga jandaya) 1/2 Brazil 1 [73]
Psittaciformes Psittacidae dusky parrot
(Pionus fuscus)
2/3 Brazil 1 [73]
Sphenisciformes Spheniscidae African penguin
(Spheniscus demersus)
19/234 1/189 Namibia and South Africa 1 [74]
Tinamiformes Tinamidae red-winged tinamou
(Rhynchotus rufescens)
3/40 0/40 Brazil 1 [75]
Tinamiformes Tinamidae solitary tinamou
(Tinamus solitarius)
1/20 0/20 Brazil 1 [75]

3.2. Findings from the meta-analysis of prevalence values

In all of the included individual studies 223 species were tested for the presence of MG. A total of 99 species were tested by a culture method, 104 by PCR, 92 by SPA, 63 by HI, 28 by ELISA and 50 by other methods. MG was detected in 56/223 species of birds representing 11 orders. In the 7 orders Anseriformes, Columbiformes, Falconiformes, Galliformes, Passeriformes, Pelecaniformes, and Piciformes the presence of the pathogen was confirmed by culture method or PCR, and anti-MG antibodies were detected. Because different detection techniques were used to confirm the presence of MG in one animal, we decided to perform the meta analyses separately for each method.

3.2.1. Culture method

For the culture method meta-analysis, 126 prevalence values were extracted from 23 studies and included in the calculation. The mean prevalence of Mycoplasma gallisepticum in wild birds was estimated based on a total of 3190 sampled birds and was 12.1% (95% CI: 1.5–30.9) (Fig 5).

Fig 5. Forest plot of the random effect meta-analysis of MG prevalence (%) calculated based on the results from a culture method.

Fig 5

Blue squares represent prevalence of MG of individual studies; the size of each blue square represents the weight of the individual study in calculating average prevalence; horizontal lines represent 95% Wilson confidence intervals (%) of the prevalence from individual studies; the gray diamond and vertical dotted line represent average prevalence calculated using the random-effects model; and I2 and τ2 statistics describe the heterogeneity of the studies with p-value of the heterogeneity test. [76,77].

Subgroup meta-analyses were performed for geographic region, country, order, species, and captive versus wild birds (S5 Table). Results from culture methods were reported from 6 countries located in Asia, Europe and North America. The highest number of studies focused on Passeriformes (N = 1997; 15.8%; 95%CI: 1.2–42.1), and the most frequently sampled species among this order were the house finch (Haemorhous mexicanus) (524; 41.2%; 95%CI: 3.6–86.9%) and house sparrow (393; 0%; 95%CI: 0–0.2). The second most frequently reported order was Galliformes (N = 953; 7.6%, 95%CI: 0–45.3) with the wild turkey the predominant species (N = 912; 11.8%; 95% CI: 0–58.9). Most of the articles (16/23) reported more frequent occurrence of MG in wild birds (N = 2696; 10.7%; 95%CI: 0.1–35.7) than in captive ones (S5 Table).

3.2.2. Polymerase chain reaction

PCR was used in 20 studies, and 160 prevalence inputs were extracted from these papers. The resulting mean prevalence of Mycoplasma gallisepticum in wild birds was estimated based on a total of 4687 sampled birds and was 28.8% (95% CI: 14.0–46.6) (Fig 6).

Fig 6. Forest plot of the random effect meta-analysis of MG prevalence (%) calculated based on the results from PCR.

Fig 6

Blue squares represent prevalence of MG of individual studies; the size of each blue square represents the weight of the individual study in calculating average prevalence; horizontal lines represent 95% Wilson confidence intervals (%) of the prevalence from individual studies; the gray diamond and vertical dotted line represent average prevalence calculated using the random-effects model; and I2 and τ2 statistics describe the heterogeneity of the studies with p-value of the heterogeneity test.

Subgroup meta-analyses were performed as mentioned above and the results are presented S6 Table. The results of PCR method for detection of MG in wild birds were reported from 7 countries located in Asia, Europe North and South America. The highest number of studies (19/20) focused on Passeriformes (N = 4237; 27.3%; 95%CI: 12.0–46.1), and the most frequently sampled species within this order were the house finch (N = 1384; 53.5%; 95%CI: 20.8–84.6%), American goldfinch (N = 643; 29.3%; 95% CI: 7.7–57.9), and house sparrow (N = 605; 0.03%; 95%CI: 0–0.3). The second most frequently reported order (4/21 papers) was Columbiformes (N = 190; 1.5%; 95%CI: 0.03–5.0). The status of captivity was unknown in the majority of papers (11/20) and the prevalence estimated based on these studies was 26.9% (N = 2454; 95%CI: 12.9–43.8).

3.2.3. Serum plate agglutination test

For the meta-analysis of the SPA method a total of 150 prevalence inputs were extracted from 31 papers. The resulting mean seroprevalence of Mycoplasma gallisepticum in wild birds was estimated based on a total of 9123 samples and was 12.1% (95% CI: 6.9–18.5) (Fig 7).

Fig 7. Forest plot of the random effect meta-analysis of MG prevalence (%) calculated based on the results from SPA.

Fig 7

Blue squares represent prevalence of MG of individual studies; the size of each blue square represents the weight of the individual study in calculating average prevalence; horizontal lines represent 95% Wilson confidence intervals (%) of the prevalence from individual studies; the gray diamond and vertical dotted line represent average prevalence calculated using the random-effects model; and I2 and τ2 statistics describe the heterogeneity of the studies with p-value of the heterogeneity test. [7880,8183,84].

The results of subgroup meta-analyses are summarized in S7 Table. The results of the SPA method were reported from 5 countries located in Africa, Asia, and North and South America. The highest number of studies (17/31) focused on Galliformes (N = 4089; 7.8%; 95%CI: 2.3–16.1), and the most frequently sampled species within this order was the wild turkey (N = 3883; 10.7%; 95%CI: 3.3–21.6%). The second most frequently reported order (12/31 papers) was Passeriformes (N = 4085; 19.9%; 95%CI: 9.5–32.9) with the house finch (N = 1356, 28.4%; 95% CI: 11.9–48.7), American goldfinch (N = 590; 21.6%; 95% CI 2.6–52.0), and brown-headed cowbird (Molothrus ater) (N = 205; 20%; 95% CI: 3.1–46.6) as the most frequently sampled species within the order. The majority of papers (24/31) concerned wild birds (N = 5673; 11.3%; 95% CI: 5.8–18.3) rather than captive ones.

3.2.4. Hemagglutination inhibition test

The analysis of studies which used the HI assay showed that the authors used different titer cutoffs for considering a sample positive. A dilution of ≥1:80 was used as a cutoff level in 6/21 studies, ≥1:40 in 6/21 studies, and ≥1:20 in 1/21 studies. The goal of some authors was only to determine if birds had had contact with the pathogen and in this case titers ≥1:10 were considered MG-positive (2/21 articles). A total of 6 out of 21 studies did not report the cutoff level at all (Table 2). In our summary, we have incorporated all positive results considering the same cutoff titers as stated in the original papers.

Table 2. Different cutoff titers used for MG diagnostics by HI assay.
Cutoff titer Number of studies References
≥10 2 [61,72]
≥20 1 [52]
≥40 6 [14,27,58,68,79,81]
≥80 6 [48,51,53,56,57,82]
not specified 6 [47,59,62,75,85,86]

The hemagglutination inhibition test was used in a total of 21 studies giving 81 prevalence inputs that were used for meta-analysis. The resulting mean seroprevalence of MG in wild birds was estimated based on a total of 5362 samples and was 4.5% (95% CI: 1.7–8.6) (Fig 8). The results of subgroup meta-analyses for HI are summarized in S8 Table. The seroprevalence of MG by HI test was described in articles from North America (USA and Costa Rica, 18/21 papers) and South America (Brazil and Galápagos Islands, 3/21 papers). The highest number of studies (17/21) was from the USA, where the estimated prevalence was 6.6% (95% CI: 2.7–12.2).

Fig 8. Forest plot of the random effect meta-analysis of MG prevalence (%) calculated based on the results from HI.

Fig 8

Blue squares represent prevalence of MG of individual studies; the size of each blue square represents the weight of the individual study in calculating average prevalence; horizontal lines represent 95% Wilson confidence intervals (%) of the prevalence from individual studies; the gray diamond and vertical dotted line represent average prevalence calculated using the random-effects model; and I2 and τ2 statistics describe the heterogeneity of the studies with p-value of the heterogeneity test.

No seroprevalence by HI was reported from the rest of world. HI test result reports were reported in 11 out of 21 papers in Galliformes (N = 1916; 1.4%; 95%CI: 0.08–4.4) with the wild turkey as the most frequently sampled species again (N = 1909; 1.6%; 95%CI: 0.1–4.8%). The second order was Passeriformes (7/21 papers) with estimated prevalence of 4.5% (N = 3263; 95%CI: 0.5–12.3) and here the common starling (Sturnus vulgaris) (N = 966, 0.1%,; 95% CI: 0–1.3), house finch (N = 729; 12.7%; 95% CI 0.4–38.0) and house sparrow (N = 682; 0.2%; 95% CI: 0–2.1) were the most frequently sampled species within the order. Once again the majority of papers (17/21) concerned wild birds (N = 4652; 2.3%; 95% CI: 0.5–5.3) rather than captive ones.

3.2.5. Enzyme-linked immunosorbent assay

The ELISA was used in six papers that included 28 prevalence inputs. The estimated mean prevalence based on 1158 birds sampled was 6.4% (95%CI: 0.4–18.9) (Fig 9). The results of the subgroup meta-analysis are summarized in S9 Table. Five countries representing five regions were the locations where the reported studies were carried out. Passeriformes were the most frequently studied order with estimated prevalence of 12.7% (N = 646; 95% CI: 0.01–43.7) and the house sparrow was the most frequently sampled species (N = 401; 0%; 95% CI: 0–0.2), followed by the house finch (N = 52; 26.9%; 95% CI: 15.9–39.7) and house crow (Corvus splendens) (N = 45; 60%; 95% CI: 45.5–73.7). Samples obtained from wild birds were reported in four articles, which resulted in estimated prevalence of 0.4% (N = 1061; 95% CI: 0.04–1.0).

Fig 9. Forest plot of the random effect meta-analysis of MG prevalence (%) calculated based on the results from ELISA.

Fig 9

Blue squares represent prevalence of MG of individual studies; the size of each blue square represents the weight of the individual study in calculating average prevalence; horizontal lines represent 95% Wilson confidence intervals (%) of the prevalence from individual studies; the gray diamond and vertical dotted line represent average prevalence calculated using the random-effects model; and I2 and τ2 statistics describe the heterogeneity of the studies with p-value of the heterogeneity test. [87].

3.2.6. Other methods

The MG was tested by other methods such as the growth inhibition test (GI) and tube agglutination assay (TA) in four studies that were from Germany, Japan, Spain, the United Arab Emirates, and the USA. From these articles a total of 54 prevalence inputs were extracted for meta-analyses. The overall prevalence estimated was 1.3% (N = 640; 95%CI: 0.0–4.3) (Fig 10). Subgroup analysis by order revealed that Galliformes (N = 380; 0.7%; 95% CI: 0–6.3) was the most studied one with the wild turkey as the predominant species having mean estimated prevalence of 1.3% (N = 346; 95% CI: 0–10.5). The presence of MG was also detected in the Eurasian tree sparrow (N = 94; 4.3%; 95% CI: 1.1–9.2) and peregrine falcon (Falco peregrinus). Five studies described the occurrence of MG in wild birds at 0.9% (N = 575; 95% CI: 0–3.9) and three studies concerned captive birds (N = 65; 1.9%; 95% CI: 0–15.9) (S10 Table).

Fig 10. Forest plot of the random effect meta-analysis of MG prevalence (%) calculated based on the results from other methods.

Fig 10

Blue squares represent prevalence of MG of individual studies; the size of each blue square represents the weight of the individual study in calculating average prevalence; horizontal lines represent 95% Wilson confidence intervals (%) of the prevalence from individual studies; the gray diamond and vertical dotted line represent average prevalence calculated using the random-effects model; and I2 and τ2 statistics describe the heterogeneity of the studies with p-value of the heterogeneity test.

4. Discussion

Many epidemiological aspects of MG infection concerning the pathogen’s carriers, contagiousness, and spread in different geographic areas and among different species of birds are not widely understood. The increase in the number of MG reservoirs could disrupt the eradication of the pathogen in poultry, especially in developing countries in which the appropriate survey and eradication programs have not been introduced and biosecurity requirements are not met [47,78]. Knowing the range of potential hosts of MG and mechanisms of infection spread among species is important from the epidemiological point of view, but systematic epidemiological reviews and meta-analyses on the occurrence of MG in wild birds have not been carried out yet. In our work, we used a comprehensive approach to identify studies on MG detection in wild bird hosts across the world. This study was undertaken to summarize data from over 60 years of research in this field and is a necessary step in identifying data gaps to encourage future research directions. It is not surprising that the majority of studies were from North America, due to the MG epidemic that affects the population of house finches and the constant presence of this pathogen in the wild turkey. The knowledge of MG occurrence in wild birds from the rest of the world is limited to a few papers. Our review included the results of 52 studies focused on testing for MG using different diagnostic methods, including pathogen detection by culture and PCR as well as serological and other assays (Fig 4). The incidences of MG were confirmed in different taxonomically distinct species of wild birds. The MG infection could develop characteristic clinical signs in different species [13,20,55,65,70,88]. MG infection in wild turkeys was confirmed by both culture and serological tests. Although the surveys on the occurrence of MG in this species that were included in this work were conducted between 1968 and 2002, the use of PCR was reported only for one turkey isolate with a negative result [63]. The phylogeny of MG strains isolated from wild turkeys has not yet been established and future studies are needed to determine their origin and compare them with strains isolated from other gallinaceous birds.

MG can spread within members of one order, which could be evidence of a single ancestor [23]. A recent study which summarized the phylogeny of MG showed that one strain of MG could be isolated from three different poultry species [89]. It has now been hypothesized that the adaptation of MG to a new host is not so easy and needs certain favorable factors helping it [90,91]. In 1994, MG was found as a cause of a conjunctivitis epidemic in house finches [13] that spread rapidly across the USA [92]. The outbreak of the disease was caused by the unique strain HFMG, and it led to the substantial decline of the house finch population in the USA at that time [21]. HFMG was reported from different passerines, especially members of the Fringillidae family. The disease symptoms in naturally infected birds were found only in the Fringillidae. Recent evidence highlights that conjunctivitis caused by the HFMG strain could be also found in the western scrub jay (Aphelocoma californica) which belongs to the Corvidae family [16]. However, experimental inoculation with HFMG was also able to develop the clinical signs in birds from the Paridae family [18]. Although HFMG was found in other Passeriformes in the wild, the birds did not show any obvious clinical signs [17]. The previous experimental infection of chickens that were kept with MG-infected house finches showed that clinical disease was not present in the chickens [93] or the symptoms were mild [90]. However, Pflaum et al. [25] demonstrated that different strains of MG originating from house finches (VA1994 and VA2013) induced the disease in experimentally infected chickens, which is clear evidence that MG could be reintroduced from wild hosts to poultry. These results suggested that MG evolved to adapt to the house finch, simultaneously decreasing its virulence for chicken. This study also showed that the virulence of HFMG may be opposite to that found in the original host. The virulence of MG could differ between strains. More recent evidence [94] demonstrates significant differences across strains for factors that are known to cause virulence, including sialidase activity, cytoadherence, and hydrogen peroxide production. There is no obvious inference that a strain that was characterized by mild virulence in the experimental trial could not produce severe symptoms in birds in the field; the synergy of MG and other infectious or environmental factors can result in disease development [9597]. Also, certain MG strains may not cause visible clinical signs in infected birds [95].

The results for estimated prevalence of MG in wild birds differed between the diagnostic methods. The highest estimated prevalence was obtained based on results of PCR (28.8%, 95% CI: 14–46.4) whereas lower estimated prevalences were found in meta-analyses of studies using other methods (Figs 510). Our result suggests that the high prevalence estimated using results from PCR may be due to the higher sensitivity and specificity of this method than other diagnostic methods. The mean estimated MG prevalence obtained using a culture method (12.1%, 95% CI: 1.5–30.9). was similar to that obtained by SPA (12.1%, 95% CI: 6.9–18.5). Culture is considered the performance standard for direct detection of the pathogen, but MG is a fastidious and slow-growing organism and sometimes its isolation can be problematic [53,98,99]. On the other hand, the SPA method may give false-positive results because of its cross-reactivity [100]. However, in some cases SPA may give also false negatives which may result in underestimation of the proportion of MG-positive birds [17,101]. The best solution is to use two different diagnostic methods to maintain a safety margin (Fig 3).

The presence of DNA of MG in the sample or the isolation of the organism by a culture method indicates current infection [99]. Our review revealed that the presence of the pathogen was detected in a total of 36 species by PCR and those species might be considered reservoirs of MG. Additionally, we found 21/106 species of wild birds representing 12 families and 7 orders in which both current and past infection were confirmed by culture method or PCR and serologically.

The majority of bird species that had documented contact with MG were from the USA. Dhondt et al. [17] described the occurrence of MG in 27 of 53 species tested in that country by different methods. In our summary, we used data of 35 studies from the USA, in which the occurrence of MG was detected in 38 out of 53 tested species. The genetic material of MG was found in 23 out of 45 species, while in 14 out of 44 species, MG was confirmed both by PCR or culture and serologically. Current MG infection was reported in 15 species of birds outside the USA. However, two of them (the evening grosbeak (Coccothraustes vespertinus) and pine grosbeak (Pinicola enucleator)) were found in Canada and the authors suggested that the MG infection was caused by the HFMG strain that caused the epidemic in the USA [65]. The remaining 13 species belonged to distinct taxonomic groups and were indigenous to geographically distant countries. Mycoplasma gallisepticum detected in wild birds across the world could represent the past of the recent introduction from backyard poultry, which could be an important reservoir of different MG strains [17]. The phylogenetic analysis of MG strains found in different species of wild birds would be the best evidence of the infection source. The occurrence of MG in wild birds seems only incidental, but due to its small genome (1 Mbp) and high rate of nucleotide substitution [23], MG may adapt to new hosts and there is a possibility of the appearance of MG in new species of birds.

We are aware that our research has some limitations. We included in this work all of the studies concerning the occurrence of MG in a broad spectrum of wild bird species, and most of them reported its occurrence in numerous species. In many cases, sample sizes varied and were less than 10 birds from one species. The second issue was the presence of zero events in some of the included research, which could have a strong influence on the pooled estimated prevalence within subgroups.

Thirdly, a few of the studies lacked information about the clinical signs in tested birds, and in 26% of the studies, we did not find any information as to whether sampled birds were captive or wild. The final number of MG-positive birds was not precisely stated by the authors. Some authors did not describe clearly if samples were tested by one or more serological methods or if different material was taken from different birds. This could lead to misinterpretation because we could not interpret beyond doubt how many birds were finally found MG positive. Another issue was also related to inadequate description of the results. When more than two different samples (e.g. a tracheal swab and an oropharyngeal swab) were taken from one bird, no information was given on which particular sample was found positive. The next issue was the interpretation of the serological results, which was problematical in the lack of agreement between the SPA and HI results we observed in many publications. Another relevant problem was the different values of titer cutoff levels. In cases when samples were tested by two serological methods, the number of samples tested by the second method was different to the number tested by the first one in some of the papers. We are aware that different PCR assays were used in selected research for MG detection, and we were not able to verify their sensitivity and specificity. Taking into account those limitations and the high heterogeneity I2 (82% - 99%), the results of our meta-analyses should be considered rather as informative and interpreted with caution. In our work, we wanted to present the whole spectrum of wild bird species in which MG was tested and detected. Thus, we did not focus only on the best estimation of MG prevalence, and we included all of the research that could be helpful to understand which species could be the reservoir or the carrier of MG and how this pathogen could spread between different hosts.

5. Conclusions

In this paper, we outlined the current knowledge of the occurrence of MG in wild bird species around the world. Our summary revealed 56 out of 223 tested bird species belonging to different orders and families have documented contact with MG. The majority of MG incidences were reported from the USA due to the disease outbreak in house finches and related species of passerines. In our work, we found 21 species of birds in which past and current infections were confirmed, of which 13 species were from countries distant from the USA. We think that those species could be of interest to other researchers that want to explore the spread of MG and its phylogeny in non-poultry birds. All of the shortcomings that we highlighted may be beneficial for authors of future articles on the current topic, facilitating their better description of their results. We believe that our findings will also emphasize the need for unification of the approach to serological testing for MG and the interpretation of their results.

Supporting information

S1 Dataset. Data extracted from publications included in systematic review and meta-analysis.

(XLSX)

S1 Table. The PRISMA checklist.

(DOCX)

S2 Table. Publications included in systematic review and meta-analysis.

(DOCX)

S3 Table. Number of studies by region and country.

(DOCX)

S4 Table. Number of studies by order and species of wild birds.

(DOCX)

S5 Table. Subgroup meta-analysis of the MG prevalence by culture method.

(DOCX)

S6 Table. Subgroup meta-analysis of the MG prevalence by PCR.

(DOCX)

S7 Table. Subgroup meta-analysis of the MG prevalence by SPA.

(DOCX)

S8 Table. Subgroup meta-analysis of the MG prevalence by HI.

(DOCX)

S9 Table. Subgroup meta-analysis of the MG prevalence by ELISA.

(DOCX)

S10 Table. Subgroup meta-analysis of the MG prevalence by other methods.

(DOCX)

Acknowledgments

This work was supported by the Internal Research Fund of the National Veterinary Research Institute in Puławy, Poland. We would like to thank our colleague Rafał Kolenda from the Wroclaw University of Environmental and Life Sciences for his valuable advice in the early stage of this work.

Data Availability

All relevant data are within the manuscript and its Supporting Information files.

Funding Statement

This work was supported by the Internal Research Fund of the National Veterinary Research Institute in Puławy, Poland. The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript.

References

  • 1.Razin S, Yogev D, Naot Y. Molecular biology and pathogenicity of mycoplasmas. Microbiol Mol Biol Rev. 1998;62: 1094–156. doi: 1092-2172/98 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 2.Dhondt AA, Altizer S, Cooch EG, Davis AK, Dobson A, Driscoll MJL, et al. Dynamics of a novel pathogen in an avian host: Mycoplasmal conjunctivitis in house finches. Acta Trop. 2005;94: 77–93. 10.1016/j.actatropica.2005.01.009 [DOI] [PubMed] [Google Scholar]
  • 3.Charlton BR, Bermudez AJ, Boulianne M, Eckroade RJ, Jeffrey JS, Newman LJ, et al. Avian mycoplasmosis. In: Charlton BR, editor. Avian Disease Manual Pennsylvania: American Association of Avian Pathologists; 1996. pp. 115–125. [Google Scholar]
  • 4.Luttrell PM, Fischer JR. Mycoplasmosis. In: Thomas NJ, Hunter BD, Atkinson CT, editors. Infectious Diseases of Wild Birds 1st ed Iowa: Blackwell Publishing; 2007. pp. 317–331. [Google Scholar]
  • 5.Saadh MJ, Hasani IW. Isolation and molecular identification of Mycoplasma gallisepticum from chicken flocks. J Chem Pharm Res. 2016;8: 721–725. [Google Scholar]
  • 6.Nelson JB. Studies on an uncomplicated coryza of the domestic fowl II. The relation of the “bacillary” coryza to that produced by exudate. J Exp Med. 1933;58: 297–304. 10.1084/jem.58.3.297 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 7.Edward DG f., Kanarek AD. Organisms of the pleuropneumonia group of avian origin: their classification into species. Ann N Y Acad Sci. 1960;79: 696–702. 10.1111/j.1749-6632.1960.tb42744.x [DOI] [PubMed] [Google Scholar]
  • 8.Hensley TS, Cain JR. Prevalence of certain antibodies to selected disease-causing agents in wild turkeys in Texas. Avian Dis. 1979;23: 62–69. [PubMed] [Google Scholar]
  • 9.Trainer DO, Glazener WC, Hanson RP, Nassif BD. Infectious disease exposure in a wild turkey population. Avian Dis. 1968;12: 208–214. 10.2307/1588102 [DOI] [PubMed] [Google Scholar]
  • 10.Shimizu T, Numano K, Uchida K. Isolation and identification of mycoplasmas from various birds: an ecological study. Japanese J Vet Sci. 1979;41: 273–282. 10.1292/jvms1939.41.273 [DOI] [PubMed] [Google Scholar]
  • 11.Jessup DA, DaMassa AJ, Lewis R, Jones KR. Mycoplasma gallisepticum infection in wild-type turkeys living in close contact with domestic fowl. J Am Vet Med Assoc. 1983;183: 1245–1247. [PubMed] [Google Scholar]
  • 12.Adrian WJ. Investigation of disease as a limiting factor in a wild turkey population. Colorado State University. 1983. [Google Scholar]
  • 13.Ley DH, Berkhoff JE, Mclaren JM. Mycoplasma gallisepticum isolated from house finches (Carpodacus mexicanus) with conjunctivitis. Avian Dis. 1996;40: 480–483. 10.2307/1592250 [DOI] [PubMed] [Google Scholar]
  • 14.Luttrell MP, Stallknecht DE, Fischer JR, Sewell CT, Kleven SH. Natural Mycoplasma gallisepticum infection in a captive flock of house finches. J Wildl Dis. 1998;34: 289–296. 10.7589/0090-3558-34.2.289 [DOI] [PubMed] [Google Scholar]
  • 15.Dhondt AA, Badyaev A V, Dobson AP, Hawley DM, Driscoll MJL, Hochachka WM, et al. Dynamics of mycoplasmal conjunctivitis in the native and introduced range of the host. Ecohealth. 2006;3: 95–102. 10.1007/s10393-006-0019-7 [DOI] [Google Scholar]
  • 16.Allen CR, Mara A, Tulman ER, Ley DH, Geary SJ. House finch (Haemorhous mexicanus)–associated Mycoplasma gallisepticum identified in lesser goldfinch (Spinus psaltria) and western scrub jay (Aphelocoma californica) using strain-specific quantitative PCR. J Wildl Dis. 2018;54: 180–185. 10.7589/2017-04-079 [DOI] [PubMed] [Google Scholar]
  • 17.Dhondt AA, DeCoste JC, Ley DH, Hochachka WM. Diverse wild bird host range of Mycoplasma gallisepticum in Eastern North America. McGraw K, editor. PLoS One. 2014;9: e103553 10.1371/journal.pone.0103553 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 18.Farmer KL, Hill GE, Roberts SR. Susceptibility of wild songbirds to the house finch strain of Mycoplasma gallisepticum. J Wildl Dis. 2005;41: 317–325. 10.7589/0090-3558-41.2.317 [DOI] [PubMed] [Google Scholar]
  • 19.Hartup BK, Kollias G V., Ley DH. Mycoplasmal conjunctivitis in songbirds from New York. J Wildl Dis. 2000;36: 257–264. 10.7589/0090-3558-36.2.257 [DOI] [PubMed] [Google Scholar]
  • 20.Ley DH, Hawley DM, Geary SJ, Dhondt AA. House finch (Haemorhous mexicanus) conjunctivitis, and Mycoplasma spp. isolated from North American wild birds, 1994–2015. J Wildl Dis. 2016;52: 669–673. 10.7589/2015-09-244 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 21.Hochachka WM, Dhondt AA. Density-dependent decline of host abundance resulting from a new infectious disease. Proc Natl Acad Sci. 2000;97: 5303–5306. 10.1073/pnas.080551197 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 22.Nolan PM, Hill GE, Stoehr AM. Sex, size, and plumage redness predict house finch survival in an epidemic. Proc R Soc London Ser B Biol Sci. 1998;265: 961–965. 10.1098/rspb.1998.0384 [DOI] [Google Scholar]
  • 23.Delaney NF, Balenger S, Bonneaud C, Marx CJ, Hill GE, Ferguson-Noel N, et al. Ultrafast evolution and loss of CRISPRs following a host shift in a novel wildlife pathogen, Mycoplasma gallisepticum. PLoS Genet. 2012;8: e1002511 10.1371/journal.pgen.1002511 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 24.Citti C, Blanchard A. Mycoplasmas and their host: Emerging and re-emerging minimal pathogens. Trends Microbiol. 2013;21: 196–203. 10.1016/j.tim.2013.01.003 [DOI] [PubMed] [Google Scholar]
  • 25.Pflaum K, Tulman ER, Beaudet J, Liao X, Dhondt K V., Dhondt AA, et al. Attenuated phenotype of a recent house finch-associated Mycoplasma gallisepticum isolate in domestic poultry. Infect Immun. 2017;85: 9–11. 10.1128/IAI.00185-17 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 26.Garcia M, Jackwood MW, Levisohn S, Kleven SH. Detection of Mycoplasma gallisepticum, M. synoviae, and M. iowae by multi-species polymerase chain reaction and restriction fragment length polymorphism. Avian Dis. 1995;39: 606 10.2307/1591815 [DOI] [PubMed] [Google Scholar]
  • 27.Luttrell MP, Fischer JR, Stallknecht DE, Kleven SH. Field investigation of Mycoplasma gallisepticum infections in house finches (Carpodacus mexicanus) from Maryland and Georgia. Avian Dis. 1996;40: 335 10.2307/1592229 [DOI] [PubMed] [Google Scholar]
  • 28.Waites KB, Xiao L, Paralanov V, Viscardi RM, Glass JI. Molecular methods for the detection of mycoplasma and ureaplasma infections in humans: A paper from the 2011 William Beaumont Hospital symposium on molecular pathology. J Mol Diagn. 2012; 14: 437–450. 10.1016/j.jmoldx.2012.06.001 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 29.Kleven SH. Antibody response to avian mycoplasmas. Am J Vet Res. 1975;36: 563–565. [PubMed] [Google Scholar]
  • 30.Kleven SH, Pomeroy BS. Characterization of the antibody response of turkeys to Mycoplasma meleagridis. Avian Dis. 1971;15: 291 10.2307/1588699 [DOI] [PubMed] [Google Scholar]
  • 31.Martínez J, Tomas G, Merino S, Arriero E, Moreno J. Detection of serum immunoglobulins in wild birds by direct ELISA: a methodological study to validate the technique in different species using antichicken antibodies. Funct Ecol. 2003;17: 700–706. 10.1046/j.1365-2435.2003.00771.x [DOI] [Google Scholar]
  • 32.Ebel GD, Dupuis AP, Nicholas D, Young D, Maffei J, Kramer LD. Detection by enzyme-linked immunosorbent assay of antibodies to West Nile virus in birds. Emerg Infect Dis. 2002;8: 979–982. 10.3201/eid0809.020152 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 33.Fassbinder-Orth CA, Wilcoxen TE, Tran T, Boughton RK, Fair JM, Hofmeister EK, et al. Immunoglobulin detection in wild birds: effectiveness of three secondary anti-avian IgY antibodies in direct ELISAs in 41 avian species. Methods Ecol Evol. 2016;7: 1174–1181. 10.1111/2041-210X.12583 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 34.Moher D, Liberati A, Tetzlaff J, Altman DG. Preferred reporting items for systematic reviews and meta-analyses: the PRISMA statement. PLoS Med. 2009;6: e1000097 10.1371/journal.pmed.1000097 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 35.Stroup DF. Meta-analysis of observational studies in epidemiology: a proposal for reporting. JAMA. 2000;283: 2008 10.1001/jama.283.15.2008 [DOI] [PubMed] [Google Scholar]
  • 36.Benskin CMWH, Wilson K, Jones K, Hartley IR. Bacterial pathogens in wild birds: A review of the frequency and effects of infection. Biol Rev. 2009;84: 349–373. 10.1111/j.1469-185X.2008.00076.x [DOI] [PubMed] [Google Scholar]
  • 37.Faustino CR, Jennelle CS, Connolly V, Davis AK, Swarthout EC, Dhondt AA, et al. Mycoplasma gallisepticum infection dynamics in a house finch population: seasonal variation in survival, encounter and transmission rate. J Anim Ecol. 2004;73: 651–669. 10.1111/j.0021-8790.2004.00840.x [DOI] [Google Scholar]
  • 38.Hunter JP, Saratzis A, Sutton AJ, Boucher RH, Sayers RD, Bown MJ. In meta-analyses of proportion studies, funnel plots were found to be an inaccurate method of assessing publication bias. J Clin Epidemiol. 2014;67: 897–903. 10.1016/j.jclinepi.2014.03.003 [DOI] [PubMed] [Google Scholar]
  • 39.R Core Team. R: A language and environment for statistical computing. Version 3.6.1. In: Foundation for Statistical Computing, Vienna, Austria: [Internet]. 2019. Available: http://www.r-project.org/ [Google Scholar]
  • 40.Wickham H, Romain F, Lionel H, Müller K. dplyr: A Grammar of Data Manipulation. R package version 0.8.1. [Internet]. 2019. Available: https://cran.r-project.org/package=dplyr
  • 41.Schwarzer G, Chemaitelly H, Abu‐Raddad LJ, Rücker G. Seriously misleading results using inverse of Freeman‐Tukey double arcsine transformation in meta‐analysis of single proportions. Res Synth Methods. 2019;10: 476–483. 10.1002/jrsm.1348 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 42.Schwarzer G. meta: An R package for meta-analysis. R News. 2007;7: 40–45. Available: http://link.springer.com/10.1007/978-3-319-21416-0
  • 43.Newcombe RG. Two-sided confidence intervals for the single proportion: comparison of seven methods. Stat Med. 1998;17: 857–872. [DOI] [PubMed] [Google Scholar]
  • 44.Wickham H. ggplot2 [Internet]. Media. New York, NY: Springer New York; 2009. 10.1007/978-0-387-98141-3 [DOI]
  • 45.Fellow I. wordcloud: Word Clouds. R package version 2.6 [Internet]. 2018.
  • 46.Conway JR, Lex A, Gehlenborg N. UpSetR: an R package for the visualization of intersecting sets and their properties. Bioinformatics. 2017;33: 2938–2940. 10.1093/bioinformatics/btx364 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 47.Andery D de A, Ferreira Junior F, Araújo A de, Vilela D da R, Marques M, Marin S, et al. Health assessment of raptors in triage in Belo Horizonte, MG, Brazil. Rev Bras Ciência Avícola. 2013;15: 247–256. 10.1590/S1516-635X2013000300012 [DOI] [Google Scholar]
  • 48.Straub MH, Kelly TR, Rideout BA, Eng C, Wynne J, Braun J, et al. Seroepidemiologic survey of potential pathogens in obligate and facultative scavenging avian species in California. PLoS One. 2015;10: e0143018 10.1371/journal.pone.0143018 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 49.Michiels T, Welby S, Vanrobaeys M, Quinet C, Rouffaer L, Lens L, et al. Prevalence of Mycoplasma gallisepticum and Mycoplasma synoviae in commercial poultry, racing pigeons and wild birds in Belgium. Avian Pathol. 2016;45: 244–252. 10.1080/03079457.2016.1145354 [DOI] [PubMed] [Google Scholar]
  • 50.Poveda JB, Carranza J, Miranda A, Garrido A, Hermoso M, Fernandez A, et al. An epizootiological study of avian mycoplasmas in Southern Spain. Avian Pathol. 1990;19: 627–633. 10.1080/03079459008418718 [DOI] [PubMed] [Google Scholar]
  • 51.Morishita TY, McFadzen ME, Mohan R, Aye PP, Brooks DL. Serologic survey of free-living nestling prairie falcons (Falco mexicanus) for selected pathogens. J Zoo Wildl Med. 1998;29: 18–20. 10.2307/1592655 [DOI] [PubMed] [Google Scholar]
  • 52.Charlton KG. Antibodies to selected disease agents in translocated wild turkeys in California. J Wildl Dis. 2000;36: 161–164. 10.7589/0090-3558-36.1.161 [DOI] [PubMed] [Google Scholar]
  • 53.Cobb DT, Ley DH, Doerr PD. Isolation of Mycoplasma gallopavonis from free-ranging wild turkeys in coastal North Carolina seropositive and culture-negative for Mycoplasma gallisepticum. J Wildl Dis. 1992;28: 105–109. 10.7589/0090-3558-28.1.105 [DOI] [PubMed] [Google Scholar]
  • 54.Crupper SS, Applegate RD. Incidence of antibodies to selected bacterial pathogens in wild turkeys (Meleagris gallopavo) in Kansas, USA. Vet Rec. 2002;151: 450 10.1136/vr.151.15.450 [DOI] [PubMed] [Google Scholar]
  • 55.Davidson WR, Nettles VF, Couvillion CE, Yoder HW. Infectious sinusitis in wild turkeys. Avian Dis. 1982;26: 402 10.2307/1590112 [DOI] [PubMed] [Google Scholar]
  • 56.Fritz BA, Thomas CB, Yuill TM. Serological and microbial survey of Mycoplasma gallisepticum in wild turkeys (Meleagris gallopavo) from six western states. J Wildl Dis. 1992;28: 10–20. 10.7589/0090-3558-28.1.10 [DOI] [PubMed] [Google Scholar]
  • 57.Hoffman RW, Page Luttrell M, Davidson WR, Ley DH. Mycoplasmas in wild turkeys living in association with domestic fowl. J Wildl Dis. 1997;33: 526–535. 10.7589/0090-3558-33.3.526 [DOI] [PubMed] [Google Scholar]
  • 58.Luttrell MP, Kleven SH, Davidson WR. An investigation of the persistence of Mycoplasma gallisepticum in an Eastern population of wild turkeys. J Wildl Dis. 1991;27: 74–80. 10.7589/0090-3558-27.1.74 [DOI] [PubMed] [Google Scholar]
  • 59.Luttrell MP, Eleazer TH, Kleven SH. Mycoplasma gallopavonis in Eastern wild turkeys. J Wildl Dis. 1992;28: 288–291. 10.7589/0090-3558-28.2.288 [DOI] [PubMed] [Google Scholar]
  • 60.Luttrell MP, Kleven SH, Mahnke GM. Mycoplasma synoviae in a released pen-raised wild turkey. Avian Dis. 1992;36: 169 10.2307/1591734 [DOI] [PubMed] [Google Scholar]
  • 61.Peterson MJ, Aguirre R, Ferro PJ, Jones DA, Lawyer TA, Peterson MN, et al. Infectious disease survey of Rio Grande wild turkeys in the Edwards plateau of Texas. J Wildl Dis. 2002;38: 826–833. 10.7589/0090-3558-38.4.826 [DOI] [PubMed] [Google Scholar]
  • 62.Veatch JK, Applegate RD, Osborne SJ. Serologic incidence of some diseases in Kansas wild turkeys. Avian Dis. 1998;42: 393 10.2307/1592492 [DOI] [PubMed] [Google Scholar]
  • 63.Wellehan JFX, Calsamiglia M, Ley DH, Zens MS, Amonsin A, Kapur V. Mycoplasmosis in captive crows and robins from Minnesota. J Wildl Dis. 2001;37: 547–555. 10.7589/0090-3558-37.3.547 [DOI] [PubMed] [Google Scholar]
  • 64.Hagen CA, Crupper SS, Applegate RD, Robel RJ. Prevalence of mycoplasma antibodies in lesser prairie-chicken sera. Avian Dis. 2002;46: 708–12. 10.1637/0005-2086(2002)046[0708:POMAIL]2.0.CO;2 [DOI] [PubMed] [Google Scholar]
  • 65.Mikaelian I, Ley DH, Claveau R, Lemieux M, Bérubé J-P. Mycoplasmosis in evening and pinegrosbeaks with conjunctivitis in Quebec. J Wildl Dis. 2001;37: 826–830. 10.7589/0090-3558-37.4.826 [DOI] [PubMed] [Google Scholar]
  • 66.Ganapathy K, Saleha AA, Jaganathan M, Tan CG, Chong CT, Tang SC, et al. Survey of campylobacter, salmonella and mycoplasmas in house crows (Corvus splendens) in Malaysia. Vet Rec. 2007;160: 622–624. 10.1136/vr.160.18.622 [DOI] [PubMed] [Google Scholar]
  • 67.Pennycott TW, Dare CM, Yavari CA, Bradbury JM. Mycoplasma sturni and Mycoplasma gallisepticum in wild birds in Scotland. Vet Rec. 2005;156: 513–515. 10.1136/vr.156.16.513 [DOI] [PubMed] [Google Scholar]
  • 68.Luttrell MP, Stallknecht DE, Kleven SH, Kavanaugh DM, Corn JL, Fischer JR. Mycoplasma gallisepticum in house finches (Carpodacus mexicanus) and other wild birds associated with poultry production facilities. Avian Dis. 2001;45: 321 10.2307/1592971 [DOI] [PubMed] [Google Scholar]
  • 69.Fischer J. Mycoplasmal conjunctivitis in wild songbirds: the spread of a new contagious disease in a mobile host population. Emerg Infect Dis. 1997;3: 69–72. 10.3201/eid0301.970110 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 70.Roberts SR, Nolan PM, Lauerman LH, Li L-Q, Hill GE. Characterization of the mycoplasmal conjunctivitis epizootic in a house finch population in the southeastern USA. J Wildl Dis. 2001;37: 82–88. 10.7589/0090-3558-37.1.82 [DOI] [PubMed] [Google Scholar]
  • 71.Staley M, Bonneaud C, McGraw KJ, Vleck CM, Hill GE. Detection of Mycoplasma gallisepticum in house finches (Haemorhous mexicanus) from Arizona. Avian Dis. 2018;62: 14–17. 10.1637/11610-021317-Reg.1 [DOI] [PubMed] [Google Scholar]
  • 72.Stallknecht DE, Johnson DC, Emory WH, Kleven SH. Wildlife surveillance during a Mycoplasma gallisepticum epornitic in domestic turkeys. Avian Dis. 1982;26: 883–890. [PubMed] [Google Scholar]
  • 73.Gomes AM, Costa LL, Vilela DAR, Marques MVR, Carvalhaes AG, Marin SY, et al. Detection of Mycoplasma gallisepticum in dead captive psittacines in Belo Horizonte, Brazil. Brazilian J Poult Sci. 2010;12: 75–78. [Google Scholar]
  • 74.Parsons NJ, Gous TA, Schaefer AM, Vanstreels RET. Health evaluation of African penguins (Spheniscus demersus) in southern Africa. Onderstepoort J Vet Res. 2016;83: 1–13. 10.4102/ojvr.v83i1.1147 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 75.Marques MVR, Junior FCF, de Assis Andery D, Fernandes AA, de Araújo AV, de Resende JS, et al. Health assessment of captive tinamids (Aves, Tinamiformes) in Brazil. J Zoo Wildl Med. 2012;43: 539–548. 10.1638/2011-0262R1.1 [DOI] [PubMed] [Google Scholar]
  • 76.Lierz M, Schmidt R, Runge M. Mycoplasma species isolated from falcons in the Middle East. Vet Rec. 2002;151: 92–93. 10.1136/vr.151.3.92 [DOI] [PubMed] [Google Scholar]
  • 77.Lierz M, Hangen N, Hernandez-Divers J, Hafez HM. Occurrence of mycoplasmas in semen samples of birds of prey. Avian Pathol. 2008;37: 495–497. 10.1080/03079450802356961 [DOI] [PubMed] [Google Scholar]
  • 78.Guimarães M, Hurtado R, Bello C, Vanstreels R, Ferreira A. Surveillance for Newcastle disease virus, Avian influenza virus and Mycoplasma gallisepticum in wild birds near commercial poultry farms surrounded by Atlantic Rainforest remnants, Southeastern Brazil. Rev Bras Ciência Avícola. 2016;18: 387–394. 10.1590/1806-9061-2015-0164 [DOI] [Google Scholar]
  • 79.Hernandez SM, Peters VE, Weygandt PL, Jimenez C, Villegas P, O’Connor B, et al. Do shade-grown coffee plantations pose a disease risk for wild birds? Ecohealth. 2013;10: 145–158. 10.1007/s10393-013-0837-3 [DOI] [PubMed] [Google Scholar]
  • 80.Aguirre AA, McLean RG, Cook RS, Quan TJ. Serologic survey for selected arboviruses and other potential pathogens in wildlife from Mexico. J Wildl Dis. 1992;28: 435–442. 10.7589/0090-3558-28.3.435 [DOI] [PubMed] [Google Scholar]
  • 81.Davidson WR, Yoder HW, Brugh M, Nettles VF. Serological monitoring of eastern wild turkeys for antibodies to Mycoplasma spp. and avian influenza viruses. J Wildl Dis. 1988;24: 348–51. 10.7589/0090-3558-24.2.348 [DOI] [PubMed] [Google Scholar]
  • 82.Hopkins BA, Skeeles JK, Houghten GE, Slagle D, Gardner K. A survey of infectious diseases in wild turkeys (Meleagridis gallopavo silvestris) from Arkansas. J Wildl Dis. 1990;26: 468–472. 10.7589/0090-3558-26.4.468 [DOI] [PubMed] [Google Scholar]
  • 83.Sasseville VG, Miller B, Nielsen SW. A pathologic study of wild turkeys in Connecticut. Cornell Vet. 1988;78: 353–64. [PubMed] [Google Scholar]
  • 84.Williams CK, Davidson WR, Lutz RS, Applegate RD. Health status of Northern bobwhite quail (Colinus virginianus) in Eastern Kansas. Avian Dis. 2000;44: 953 10.2307/1593071 [DOI] [PubMed] [Google Scholar]
  • 85.Morishita TY, Aye PP, Ley EC, Harr BS. Survey of pathogens and blood parasites in free-living passerines. Avian Dis. 1999;43: 549 10.2307/1592655 [DOI] [PubMed] [Google Scholar]
  • 86.Soos C, Padilla L, Iglesias A, Gottdenker N, Bedon MC, Rios A, et al. Comparison of pathogens in broiler and backyard chickens on the Galápagos Islands: Implications for transmission to wildlife. Auk. 2008;125: 445–455. 10.1525/auk.2008.06235 [DOI] [Google Scholar]
  • 87.Deem SL, Parker PG, Cruz MB, Merkel J, Hoeck PEA. Comparison of blood values and health status of Floreana Mockingbirds (Mimus trifasciatus) on the islands of Champion and Gardner-by-Floreana, Galápagos Islands. J Wildl Dis. 2011;47: 94–106. 10.7589/0090-3558-47.1.94 [DOI] [PubMed] [Google Scholar]
  • 88.Hartup BK, Kollias G V. Field Investigation of Mycoplasma gallisepticum infections in house finch (Carpodacus mexicanus) eggs and nestlings. Avian Dis. 1999;43: 572 10.2307/1592658 [DOI] [PubMed] [Google Scholar]
  • 89.Bekő K, Kreizinger Z, Sulyok KM, Kovács ÁB, Grózner D, Catania S, et al. Genotyping Mycoplasma gallisepticum by multilocus sequence typing. Vet Microbiol. 2019;231: 191–196. 10.1016/j.vetmic.2019.03.016 [DOI] [PubMed] [Google Scholar]
  • 90.Bonneaud C, Weinert LA, Kuijper B. Understanding the emergence of bacterial pathogens in novel hosts. Philos Trans R Soc B Biol Sci. 2019;374 10.1098/rstb.2018.0328 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 91.Staley M, Hill GE, Josefson CC, Armbruster JW, Bonneaud C. Bacterial pathogen emergence requires more than direct contact with a novel passerine host. Infect Immun. 2018;86: 1–9. 10.1128/IAI.00863-17 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 92.Dhondt AA, Tessaglia DL, Slothower RL. Epidemic mycoplasmal conjunctivitis in house finches from eastern North America. J Wildl Dis. 1998;34: 265–280. 10.7589/0090-3558-34.2.265 [DOI] [PubMed] [Google Scholar]
  • 93.Stallknecht DE, Luttrell MP, Fischer JR, Kleven SH. Potential for transmission of the finch strain of Mycoplasma gallisepticum between house finches and chickens. Avian Dis. 1998;42: 352 10.2307/1592485 [DOI] [PubMed] [Google Scholar]
  • 94.Perez K, Mullen N, Canter JA, Ley DH, May M. Phenotypic diversity in an emerging mycoplasmal disease. Microb Pathog. 2020;138: 103798 10.1016/j.micpath.2019.103798 [DOI] [PubMed] [Google Scholar]
  • 95.Kleven SH. Mycoplasmas in the etiology of multifactorial respiratory disease. Poult Sci. 1998;77: 1146–1149. 10.1093/ps/77.8.1146 [DOI] [PubMed] [Google Scholar]
  • 96.Sanei B, Barnes HJ, Vaillancourt JP, Ley DH. Experimental infection of chickens and turkeys with Mycoplasma gallisepticum reference strain S6 and North Carolina field isolate RAPD type B. Avian Dis Dig. 2007;2: e16–e16. 10.1637/1933-5334(2007)2[e16:eiocat]2.0.co;2 [DOI] [PubMed] [Google Scholar]
  • 97.Stipkovits L, Kempf I. Mycoplasmoses in poultry. Rev Sci Tech l’OIE. 1996;15: 1495–1525. 10.20506/rst.15.4.986 [DOI] [PubMed] [Google Scholar]
  • 98.García M, Ikuta N, Levisohn S, Kleven SH. Evaluation and comparison of various PCR methods for detection of Mycoplasma gallisepticum infection in chickens. Avian Dis. 2005;49: 125–132. 10.1637/7261-0812204R1 [DOI] [PubMed] [Google Scholar]
  • 99.Levisohn S, Kleven SH. Avian mycoplasmosis (Mycoplasma gallisepticum). Rev Sci Tech l’OIE. 2000;19: 425–442. 10.20506/rst.19.2.1232 [DOI] [PubMed] [Google Scholar]
  • 100.Feberwee A, Mekkes DR, de Wit JJ, Hartman EG, Pijpers A. Comparison of culture, PCR, and different serologic tests for detection of Mycoplasma gallisepticum and Mycoplasma synoviae infections. Avian Dis. 2005;49: 260–268. 10.1637/7274-090804R [DOI] [PubMed] [Google Scholar]
  • 101.Dhondt AA, Dhondt K V., Hochachka WM. Response of black-capped chickadees to house finch Mycoplasma gallisepticum. PLoS One. 2015;10: 1–9. 10.1371/journal.pone.0124820 [DOI] [PMC free article] [PubMed] [Google Scholar]

Associated Data

This section collects any data citations, data availability statements, or supplementary materials included in this article.

Supplementary Materials

S1 Dataset. Data extracted from publications included in systematic review and meta-analysis.

(XLSX)

S1 Table. The PRISMA checklist.

(DOCX)

S2 Table. Publications included in systematic review and meta-analysis.

(DOCX)

S3 Table. Number of studies by region and country.

(DOCX)

S4 Table. Number of studies by order and species of wild birds.

(DOCX)

S5 Table. Subgroup meta-analysis of the MG prevalence by culture method.

(DOCX)

S6 Table. Subgroup meta-analysis of the MG prevalence by PCR.

(DOCX)

S7 Table. Subgroup meta-analysis of the MG prevalence by SPA.

(DOCX)

S8 Table. Subgroup meta-analysis of the MG prevalence by HI.

(DOCX)

S9 Table. Subgroup meta-analysis of the MG prevalence by ELISA.

(DOCX)

S10 Table. Subgroup meta-analysis of the MG prevalence by other methods.

(DOCX)

Data Availability Statement

All relevant data are within the manuscript and its Supporting Information files.


Articles from PLoS ONE are provided here courtesy of PLOS

RESOURCES