Skip to main content
Springer logoLink to Springer
. 2026 Jan 19;50(2):111. doi: 10.1007/s11259-025-11034-x

High prevalence of Paenibacillus larvae, the pathogenic agent of American foulbrood disease, in Palestinian honey bee colonies

Mohammad Alqurneh 1,2,, Nino Tuan Phong Bergmann 1, Islam Nairoukh 3, Abdul-Jalil Hamdan 3, Hans-Hinrich Kaatz 1
PMCID: PMC12816049  PMID: 41553589

Abstract

The spore-forming bacterium Paenibacillus larvae causes a devastating brood disease of honey bees (Apis mellifera) named American foulbrood (AFB). It occurs worldwide and can lead to the death of whole colonies. Presence and prevalence of this pathogen in Palestine were unknown. Therefore, for two consecutive years, a field survey was conducted to screen Palestinian beekeeping locations for P. larvae. Honey samples were collected from 10 colonies each of eight apiaries throughout the West Bank in spring, summer, and fall. The presence of the bacterium was identified microbiologically, via PCR and DNA sequencing. Bacterial genotypes were analysed by repetitive element-PCR fingerprinting using ERIC primers. We unexpectedly detected spores in 87.5% of the inspected apiaries, 22.3% of 130 inspected colonies contained spores. 62.1% of the colonies with spores were lost during the study period. Whereas clinical symptoms of the disease were absent, parameters like reduced brood production and or spotty brood pattern proved to be helpful but indirect indicators for the disease. The detection of P. larvae is the first record of this fatal pathogen in Palestine. The genotype ERIC I was found six apiaries, the more virulent ERIC II genotype was present in two apiaries and is the first report of ERIC genotypes in Palestine. The study emphasizes the need for immediate steps toward efficient treatment limiting the spread of this harmful bacterium within the country and in neighboring countries.

Supplementary Information

The online version contains supplementary material available at 10.1007/s11259-025-11034-x.

Keywords: Apis mellifera, American foulbrood, ERIC genotypes, Honey bee, Paenibacillus larvae

Introduction

The honey bee (Apis mellifera L.) is one of the most valuable pollinators for many crops, wild flowering species, and the fruit industry (Klein et al. 2007). The demand for insect pollination for farming has tripled during the last 50 years. However, the number of managed honey bee colonies decreased in many regions of the world as USA, the Middle East, and Europe by 30%, 10–85%, and 1.8–53%, respectively (Neumann et al. 2010; EPILOBEE Consortium et al. 2016). Honey bee colony losses have also been reported for South America (Maggi et al. 2016) and Africa (Nganso et al. 2025). These colony losses were driven by several factors including parasites like the mite Varroa destructor; diseases like American Foulbrood or virus infections; beekeeping practices, changes in climatic conditions; agricultural practices, and the use of pesticides (vanEngelsdorp and Meixner 2010; Smith et al. 2013; Lin et al. 2023).

Among the biotic drivers of colony losses, American foulbrood (AFB) disease affecting honey bee brood is one of the most significant threats, leading to the death of entire honey bee colonies (Genersch 2010; Poppinga and Genersch 2015; EPILOBEE Consortium et al. 2016; Morawetz et al. 2019). AFB is caused by the gram-positive, rod-shaped, spore-forming bacterium Paenibacillus larvae (P. larvae). Only the spores infect the larval stage of honey bees. A dose of about ten or fewer spores is able to infect the larvae. The optimal period to infect larvae is 12–36 h after egg hatching (Genersch et al. 2006). The life cycle of P. larvae, reviewed by Genersch (2010), starts with the germination of spores in the midgut lumen, then the vegetative cells massively proliferate before they penetrate the larval midgut epithelium and invade the haemocoel. The bacteria sporulate in decaying larvae, and the remains disintegrate into a ropy mass. The dead larva, prepupa or pupa may contain as much as 2.5 × 109 spores (Lindström et al. 2008a). These spores are infectious for more than 35 years (Hasemann 1961).

The ropy mass is a typical clinical symptom for AFB that can be identified with a matchstick during the inspection (Genersch et al. 2006). Additionally, there are other specific visual clinical symptoms of AFB infection, including dead larval remains that become a tough but brittle scale, which is difficult to remove from the cell, brown dead pupae with tongues stretching across brood cells, and a slightly foul odor. Unspecific indicators of AFB infection comprise sunken, dark and perforated wax cappings containing brownish larvae or a spotty brood pattern, a scattered arrangement and irregularly patterned brood area appearance with a mixture of empty, open and capped cells (de Graaf et al. 2006; Genersch 2010; OIE, 2018). The empty cells in the spotty brood area appear after early age larvae were killed by P. larvae and removed by adult workers (Brødsgaard et al. 2000).

Control and combat against AFB are still the most challenging and complex operations due to the tenacious spores. Three major treatments are effective (Genersch 2010). First, burning colonies and contaminated hive material still are widely considered the only workable control measure for AFB diseased colonies. Second, the shook swarm method (shaking the bees onto a new comb foundation and destroying the infected combs) has been successfully applied to sanitize infection (Pernal et al. 2008). Third, antibiotics such as oxytetracycline hydrochloride (OTC), tylosin and lincomycin are used to treat infected colonies (Kochansky et al. 2001; Pettis and Feldlaufer 2005; Alippi et al. 2005). but they are banned in most European countries due to residues in the honey. Antibiotics effectively inhibit the growth of the vegetative form of bacteria but do not kill the long-living P. larvae spores. Thus, they affect the symptoms and do not cure but mask the disease.

Diagnosis of AFB is based on identifying the pathogenic agent in larvae or pupa and the existence of clinical symptoms. However, in practice, the type of sample collected depends on the situation—whether it involves a suspected or clinically affected colony/apiary, or routine testing as part of an AFB surveillance and prevention program (de Graaf et al. 2013; OIE, 2018). In several countries, quantifying P. larvae spores in honey stored adjacent to sealed brood is employed as an indicator for monitoring and assessing the risk of AFB outbreaks (Bassi et al. 2018).

Detection of P. larvae is based on classical microbiological identification methods from sources like larvae, adult bees, honey and hive debris (Forsgren and Laugen 2014; Bassi et al. 2018) and complemented by fast and precise molecular techniques – PCR, real-time PCR and sequencing. Specific PCR primers based on 16 S rRNA gene of P. larvae were designed and commonly used for molecular AFB detection (Govan et al. 1999; de Graaf et al. 2013; Carra et al. 2022; Okamoto et al. 2022). Biologically and phenotypically different P. larvae genotypes were determined using enterobacterial repetitive intergenic consensus (ERIC) sequences (Versalovic et al. 1994; Genersch et al. 2006). Five genotypes (ERIC I-V) of P. larvae had been identified (Genersch et al. 2006; Beims et al. 2020). ERIC I and ERIC II are the primary Paenibacillus larvae genotypes associated with clinical outbreaks of American foulbrood (AFB) in honey bee colonies (Genersch 2010) and frequently identified worldwide (OIE, 2018; Hristov et al. 2021). While other ERIC genotypes (III - V) have been isolated from honey and hive materials, their role in causing AFB remains unconfirmed (Genersch et al. 2006; Beims et al. 2020). The genotypes differ in speed of killing larvae: slow in ERIC I (LT100 7–12 days), medium in ERIC II (LT100 5–7 days), and fast in ERIC III, IV and V (LT100 3 days) (Genersch et al. 2006; Beims et al. 2020). Hygienic bees recognize and remove infected brood from the nest. Slow-killing ERIC I genotypes generate typical clinical symptoms such as dead larval remains and infected pupa with tongues stretching across brood cells. In contrast, in ERIC II-V medium and fast killing variants, hygienic bees usually remove the infected larvae before cell capping resulting in empty brood cells (Brødsgaard et al. 2000) and in the absence of typical clinical symptoms but generating a scattered brood pattern. Thus, ERIC II genotypes may be less easily detected.

P. larvae is present in almost all beekeeping regions on all continents (OIE, 2009; Hristov et al. 2021), but its colony prevalence varies between 0.3 and 44,7% on a country-specific level (Arabiat et al. 2012; EPILOBEE Consortium et al. 2016; Genersch et al. 2010; Hall et al. 2021; Hristov et al. 2021; Hulaj et al. 2024; Alburaki et al. 2025). The knowledge about the occurrence of AFB in the Middle East and North Africa is limited (Arabiat et al. 2012; Hamdi et al. 2013; Ansari et al. 2017). The current study aims to determine the occurrence, prevalence, and genotypes of P. larvae in Palestine using microbiological and molecular identification methods and evaluate the impact of this disease on colony losses.

Materials and methods

The research was conducted for two years (2017–2018). In order to identify the prevalence of Paenibacillus larvae in Palestine, eight apiaries of different beekeepers were selected from two model governorates in West Bank: Bethlehem and Hebron. The regions were selected as study regions due to their representative Mediterranean climate and central highland location, and significance in Palestine’s beekeeping sector, hosting large human populations and thousands of beehives, making them key centers for beekeeping activities in Palestine.

These apiaries were visited three times (spring (March), summer (July), and autumn (October) per year, and ten randomly chosen colonies per apiary were inspected at the beginning and monitored throughout the study. The visit schedule followed the German monitoring program and the pan-European EPILOBEE protocol (Genersch et al. 2010; EPILOBEE Consortium et al. 2016). If a colony collapsed in the course of the study, it was replaced with another randomly chosen colony of the same apiary to keep the total number of 80 monitored colonies consistent per sampling period. Colony losses were recorded relative to the previous visit, with autumn 2018 losses evaluated in spring 2019. Data on the symptoms and the bacterial loads at the time of colony collapse were not available since the colonies died in the unobserved intervals between the visits.

The apiaries were located at the following geographical coordinates (Fig. 1): C. Bayt-Ula (31° 36’ 21.247"N, 34° 59’ 31.395"E), H. Majd-Dura (31° 29’ 8.762” N, 34° 56’ 31.179” E), I. Al-Dahiriya (31° 21’ 3.418” N, 34° 55’ 12.593” E), D. Battir (31° 43’ 14.217” N, 35° 8’ 31.826” E), E. Hindaza (31° 40’ 50.893” N, 35° 12’ 13.963” E), U. Ubediya (31° 42’ 48.422” N, 35° 16’ 33.185” E), G. Wadi-Fukin (31° 41’ 42.946” N, 35° 5’ 8.343” E), S. Shawawreh (31° 40’ 52.216” N, 35° 16’ 23.893” E).

Fig. 1.

Fig. 1

Location of the inspected apiaries in the West-Bank region of Palestine and the occurrence of Paenibacillus larvae spores. This pathogen was detected in seven out of eight apiaries (green dot: undetected, blue dot: detected in < 50% colonies per apiary, red dot: detected in > 50% colonies per apiary). Letters represent the following apiaries: Ubediya (U), Hindaza (E), Battir (D), Wadi Fukin (G), Shawawreh (S), Al-Dahiriya (I), Majd (H), and Bayt-Ula (C). Map resource: Geomolg Portal, a local web mapping application, was administrated by the Ministry of Local Government (see the statistical analysis section for more details)

Data collection and sampling

In a questionnaire, all cooperating beekeepers were asked about occurrence of American Foulbrood disease and treatment regimes against P. larvae including type, chronological pattern and chemicals used. None of the beekeepers had seen symptoms of AFB but colonies of five apiaries were preventively and regularly treated against AFB with the antibiotic oxytetracycline hydrochloride (5 g dissolved in 1 L 50% sugar solution (w/v) per colony; cf. Tabel 1) once a year in early spring (February or March) before blooming season.

Honey bee colonies which represent hybrids of local (Apis mellifera syriaca) and imported Italian honey bees (A. mellifera ligustica) were visually inspected for any clinical symptoms of AFB disease during each inspection phase (Genersch 2010; OIE, 2018). Additionally, a honey sample (10–20 g) was collected from cells close to the brood of each colony (Ritter and Kiefer 1995; Antúnez et al. 2004; Bassi et al. 2018) in order to detect P. larvae spores and spore loads. In fall 2018 larval samples were collected for P. larvae identification from colonies with spotty brood patterns (OIE, 2018).

Colony strength and assessment for capped brood pattern

During colony inspection, all sides of the frames were photographically documented with a CMOS digital camera with a macro lens. Colony strength (number of adult bees, number of open and capped brood cells) and food stores in wax-capped cells of the combs were estimated using the standard Liebefeld method (Delaplane et al. 2013). Photographs were additionally used for bee brood assessment conducted at frames with capped brood. The number of open cells within these areas indicate failures of normal brood development (Delaplane et al. 2013). Areas with capped brood cells from three random separate brood frames of a colony were selected and the proportion of open cells within 3 × 100 capped brood cells was counted. Comparisons between spore-containing and spore-free colonies were drawn at the endpoint of the study or one season before a colony died.

Isolation and cultivation of P. larvae from honey samples

The respective honey samples were dissolved in the same amount (v/w) of H2O and heated to 90 °C for 6 min to kill vegetative cells. After cooling to room temperature, samples of 100 µL were plated in triplicates on MYPGP agar (Mueller-Hinton broth, yeast extract, pyruvic acid sodium salt, D (+)-Glucose anhydrous, agar bacteriology grade and di-potassium hydrogen phosphate) (de Graaf et al. 2013) and incubated for six days at 37 °C. After counting the number of colonies morphologically typical for P. larvae (small, regular, mostly rough, flat or raised and whitish to beige coloured) (Genersch et al. 2006; Beims et al. 2020) the number of viable spores was calculated and expressed as colony-forming units (CFU) per g of honey. A total of 356 honey samples were collected and analyzed for the presence of P. larvae spores.

Molecular identification of P. larvae from bacterial isolates and larval samples

All bacterial colonies morphologically identified as P. larvae were subjected to molecular identification by PCR fragment analysis via a fast-screening method. Colonies were picked with a sterile pipet tip, suspended in 50 µl distilled water, heated at 100 °C for 6 minutes, and centrifuged at 10,000 rpm for 5 minutes. A 0.2 µl aliquot of the supernatant was analyzed by PCR using primers 1–5’- AAGTCGAGCGGACCTTGTGTTTC-3’; primer 2–5’- TCTATCTCAAAACCGGTCAGAGG-3’ (Govan et al. 1999). PCR reaction was performed at 10 µl volumes containing 1 µl 10x buffer, 0.2 µl dNTPs (10 mM), 0.05 µl Taq-polymerase (5 U, Promega, Mannheim, Germany), 0.2 µM of each forward and reverse primer and 0.2 µl of DNA template, 8.15 µl of d.d.H2O. PCR parameters for amplification were: one cycle at 95 °C for one min, followed by 35 cycles at 93 °C for one min, 55 °C for 45 s and 72 °C for one min and a final extension cycle at 72 °C for 5 min. The fragment size of the PCR product was either determined by capillary gel electrophoresis (QIAxcel, Qiagen GmbH, Germany) or by agarose gel electrophoresis (1% agarose, TBE-buffer). The approximate product size of the latter, Midori Green (Nippon Genetics, Japan) stained amplicons were determined using the 100-bp molecular size marker (Promega, USA). The amplicons were visualized and photographed using a BioDoc Gel Analyzer (Biometra, Germany). The bacterial DNA extracts were stored at −20 °C for further analysis.

Due to the absence of typical clinical AFB symptoms, larval samples (up to 10 pooled larvae/colony) were taken from 23 colonies with spotty brood patterns in fall 2018 in order to detect infected larvae. Larvae were homogenized in phosphate-buffered saline (de Graaf et al. 2013). Aliquots of the homogenate were cultivated on MYPGP agar for P. larvae isolation, as previously described, and also diluted (1:1, v/v) in cetyltrimethylammonium bromide-buffer (CTAB) for direct molecular identification. DNA was extracted with phenol-chloroform-isoamyl-alcohol (PCI) thereafter. The pellet was frozen, resuspended in CTAB and reextracted with PCI (Evans et al. 2013). Bacterial colonies from the agar plates (MYPGP) as well as larval DNA-extracts were screened for P. larvae with specific primers (Govan et al. 1999) as described above.

16 S rRNA gene sequencing

At least one of the P. larvae-PCR-positive bacterial isolates per honey sample was further characterized by 16 S rDNA sequencing. Bacterial DNA was isolated using the QIAamp genomic DNA isolation mini kit for gram-positive bacteria (Qiagen GmbH, Germany). Each DNA extract was tested for the presence of P. larvae specific 16 S rDNA via PCR (Govan et al. 1999), and purified DNA was stored at −20 °C. Unambiguous species identification was carried out by bi-directional Sanger sequencing (Sanger et al. 1977) of the purified 973 bp PCR fragment with a Genetic Analyzer DNA Sequencer (Eurofins Genomics, Ebersberg, Germany).

Partial 16 S rRNA gene sequences of the isolates were compared to 16 S rRNA gene sequences available by the BLAST search (Altschul et al. 1990) in the National Centre for Biotechnology Information (NCBI) database (http://www.ncbi.nlm.nih.gov/). The genome sequences were deposited in NCBI GenBank under accession numbers OP437725 - OP437739. Multiple sequence alignments were performed using MultAlin (Corpet 1988).

Genotyping of Paenibacillus larvae

The clonal bacterial QIAamp-kit generated genomic DNA isolations were also used for the differentiation of P. larvae. PCR amplification of repetitive elements (Versalovic et al. 1994) using enterobacterial repetitive intergenic consensus (ERIC-) sequences was performed, allowing the identification of five genotypes, ERIC I-V (Genersch et al. 2006; Beims et al. 2020). Bacterial isolates from fourteen honey bee colonies containing P. larvae spores were randomly selected from all apiaries for genotyping. PCR reactions were carried out according the procedure described in (Genersch et al. 2006). 10 µl of the PCR products were separated in standard 0.8% agarose gel, stained with Midori Green (Nippon Genetics, Japan), visualized by UV light, size-determined with 100-bp molecular size marker (Promega, USA) and photographed with a gel doc digital image capture system (Bio-Rad, Munich, Germany).

Statistical analysis

Statistics were performed using R 4.2.1. [R Core Team, 2022](R-Development-Core-Team 2007). Significance levels were set to p ≤ 0.05 for all statistical tests, and p-values were adjusted for multiple testing using Bonferroni-Holm-correction (Holm 1979). The proportion of open brood cells within areas of capped brood cells in spore-free and spore-containg colonies were compared by Mann-Whitney U Test. Brood production was indicated by the ratio of capped brood cells with adult bee numbers, analyzed by linear regression (R-Package RcmdrPlugin. Kmggplot2) and compared between infected and uninfected colonies via Student’s t-test. Colonies without brood or < 600 bees were not included in the former analyses. Mixed effect models (LMM) were implemented using the lmer function within the lme4 R package (Bates et al. 2015). Post-hoc tests for differences in prevalence of AFB between seasons were performed with Tukey tests using the command ‘glht’(package’multcomp’). Differences in the number of colony-forming units per honey sample were compared using Student’s t-test. The effect of treatment with antibiotics on the prevalence of P. larvae and colony survival was tested using χ2. Graphs were produced using the R package ggplot2 (Wickham 2016). The spatial data included in the map (Fig. 1) were obtained from Geomolg, a geospatial information portal administered by the Palestine Ministry of Local Government. The data is publicly accessible and locally available free of charge. The map primarily includes historical Palestine along with its neighboring countries, the governorates in the West Bank, and apiaries. The locations of the apiaries were collected from the field using a Garmin GPS eTrex10, with geographical coordinates projected onto the map. ArcGIS Pro 3.1.5 was used to produce the map. The full data resource is available via the link: http://geomolg.ps.

Results

Prevalence of Paenibacillus larvae

During the two year survey (2017–2018), clinical symptoms of AFB were not detected. But spores of P. larvae were detected in honey samples of seven out of eight apiaries (87.5%), 22.3% (29/130) of the inspected colonies contained spores and 62.1% (18/29) of the spore-containing colonies died during the inspection period (Table 1). Colonies of two apiaries in Al-Dahiriya and Ubeidiya had high prevalences (59% and 53%), respectively (Table 1; Fig. 1). P. larvae was also detected in two of 23 larval samples (colony U37 and U40) taken from colonies that had a spotty brood pattern in fall 2018 and reflected the presence of spores in honey. The detection of the pathogenic agent in larvae indicated the outbreak of AFB in these colonies.

Table 1.

Prevalence of P. larvae in honey bee colonies of Palestine

Apiary Region # of inspected colonies1 # of spore-containing colonies # of dead spore-containing colonies % of spore-containing colonies3 AFB-Treatment with oxytetracycline²
Bayt-Ula Hebron 21 0 0 00.0 Yes
Majd-Dura Hebron 17 1 1 5.9 Yes
Al-Dahiriya Hebron 22 13 9 59.1 Yes
Battir Bethlehem 22 1 0 4.5 Yes
Wadi-Fukin Bethlehem 11 1 0 9.1 Yes
Hindaza Bethlehem 10 2 0 20.0 No
Ubeidiya Bethlehem 17 9 8 52.9 No
Shawawreh Bethlehem 10 2 0 20.0 No
Sum 130 29 18

Regional and seasonal occurrence of P. larvae

The occurrence of P. larvae did not differ between the two regions of West Bank (χ2 = 0,047, df = 1, p = 0.829; Table 1). However, the prevalence of spores varied between seasons (LMM; χ2 = 22.29, df = 2, p = 0.001; Fig. 2A). Most colony infections were found in fall (2017: n = 10, 2018: n = 15), whereas infection levels were significantly lower during preceding summer seasons (Tukey post-hoc test: p < 0.05, cf. supplementary Table S1). This seasonal pattern was reflected by the number of colony-forming units (CFU) in the honey samples (Fig. 2B). The highest CFU were found in fall 2017 and fall 2018. The latter was significantly higher than in the spring and summer of 2018 (t-Test, p = 0.009 resp. 0.013).

Fig. 2.

Fig. 2

Seasonal variation of P. larvae prevalence A and spore number B in honey of Palestinian honey bee colonies (n = 80/season). (A) The number of spore-containing colonies was higher in fall than in the preceding summer (Tukey post-hoc test), (B) Spore number in spore-containing colonies (n = 3–15 colonies; CFU, median, max, min) peaked in fall (t-test). Lowercase letters denote significant differences (p < 0.05)

Indicators for American foulbrood: open brood cells and brood production

Specific visual clinical symptoms as direct indicators for AFB, such as ropy larval remains, dark brittle scales of dried remains firmly adhering to the brood cell and dead pupal tongues projecting from the remains were not detected during the inspections. Therefore, we analysed the parameters open brood cells within areas of capped brood cells (Fig. 3) and brood production/adult bee as indirect indicators for AFB. Both measures indicated failures in normal brood development. Spore-containing colonies had significantly higher proportions of open cells in areas of capped brood cells (median 23%) than spore-free colonies (median 16%) (Mann-Whitney U-test p = 0.0025; Fig. 4).

Fig. 3.

Fig. 3

Pattern of capped brood cells in colonies without P. larvae spores detected a and in P. larvae spore containing colonies b. The photos are examples from Shawawra apiary (a) and from the Ubedyia apiary (b) respectively

Fig. 4.

Fig. 4

Proportion of open brood cells within areas of capped brood cells in spore-containing colonies (n = 29) and spore-free colonies (n = 71). Areas of Inline graphic300 brood cells/colony were analysed. The box plots contain 1. and 3. quartiles split by the median, minimum and maximum. Differences between the two groups are significant (Mann-Whitney U-test, p = 0.0025)

The brood production as indicated by the ratio of capped brood cell number and number of adult bees showed linear relations (supplementary Fig. S1) and differed between spore-free and spore-containing colonies (Student’s t-test, p = 0.020). Bees in spore-free colonies reared three times more brood/bee than bees in spore-containing colonies. Thus, both parameters, brood production/bee and proportion of open cells within areas of capped brood in relation total number of capped brood cells proved to be helpful, albeit indirect indicators for the presence of P. larvae in the absence of clinical AFB symptoms.

Genetic identification and differentiation of P. larvae

All isolates from MYPGP-agar plates of the 29 spore-containing colonies were identified as P. larvae via PCR with primer pairs of 16 S rDNA expressing the expected fragment lengths of 973 bp (Govan et al. 1999) (Table 2). Many of the PCR fragments were sequenced (Table 2, GenBank OP437725 to OP437739), and all sequences match with known 16 S rDNA sequences from type strains of P. larvae (DQ079623.1 (Genersch et al. 2006), and FJ649364.1 (Hamdi et al. 2013) and fully sequenced P. larvae strains ERIC I (CP019651.1) and ERIC II (CP019652.1) (Beims et al. 2020).

Table 2.

List of P. larvae isolates, molecular identification and honey bee colony survival status

# Colony Year of sample collection Apiary Region AFB Identification Strain Status of colony
PCR reaction GenBank # ERIC
1 I2 2017 Al-Dahiriya Hebron + died
2 I3N 2018 Al-Dahiriya Hebron + OP437732 died
3 I5N 2018 Al-Dahiriya Hebron + survived
4 I6N 2018 Al-Dahiriya Hebron + OP437728 II died
5 I7 2017 Al-Dahiriya Hebron + died
6 I11 2017 Al-Dahiriya Hebron + died
7 I12 2018 Al-Dahiriya Hebron + OP437727 II died
8 I13 2017 Al-Dahiriya Hebron + died
9 I13N 2018 Al-Dahiriya Hebron + OP437733 I survived
10 I14 2018 Al-Dahiriya Hebron + died
11 I15 2018 Al-Dahiriya Hebron + OP437734 II survived
12 I18 2018 Al-Dahiriya Hebron + OP437725 I survived
13 I19 2018 Al-Dahiriya Hebron + died
14 U31 2018 Ubeidiya Bethlehem + I died
15 U34 2017 Ubeidiya Bethlehem + died
16 U37 2017 Ubeidiya Bethlehem + survived
17 U38 2018 Ubeidiya Bethlehem + OP437736 I died
18 U39 2018 Ubeidiya Bethlehem + OP437737 I died
19 U40 2017 Ubeidiya Bethlehem + died
20 U41N 2018 Ubeidiya Bethlehem + OP437738 died
21 U43 2018 Ubeidiya Bethlehem + OP437739 died
22 U47 2018 Ubeidiya Bethlehem + died
23 S4 2017 Shawawreh Bethlehem + I survived
24 S9 2018 Shawawreh Bethlehem + OP437730 I survived
25 E23 2017 Hindaza Bethlehem + I survived
26 E26 2017 Hindaza Bethlehem + survived
27 H8 2017 Majd-Dura Hebron + I died
28 G3 2017 Wadi-Fukin Bethlehem + I survived
29 D23 2018 Battir Bethlehem + OP437731 II survived

Using ERIC primers, the bacterial isolates were further differentiated. Most P. larvae isolates represent the slow-killing ERIC-I-type, present in the apiaries of Ubeidiya, Hindaza, Majd, Wadi Fukin and Shawawreh. In Battir we found ERIC II, and in Al-Dahiriya we found both, ERIC I and II (Table 2).

Effect of treatment with antibiotic oxytetracycline (OTC) against P. larvae on prevalence and colony survival

Five beekeepers regularly treated their colonies with the antibiotic OTC in the spring season but treatment did not affect the survival of the spore-containing colonies in both groups. Ten out of sixteen spore-containing colonies died in treatment colonies; eight out of thirteen spore-containing colonies died in untreated colonies, (χ2 = 0.058, df = 1, p-value = 0.98, cf. Table 1). Moreover, the presence of P. larvae in October was not dependent on the treatment with antibiotics during early spring – neither the number of spore-containing colonies (eight spore-containing of thirty untreated vs. seven spore-containing of fifty treated, (χ2 = 1.32, df = 1, p = 0.25; Supplementary Table 2) nor the number of CFU differed significantly between both subgroups (CFUuntreated colonies 102 ± 72, n = 8 and CFUtreated colonies, 112 ± 34 CFU, n = 7, mean ± SE, t-test, p = 0.83; Supplementary Table 2).

Discussion

This study reported the first record of P. larvae in Palestinian honey bee colonies. Unexpectedly, spores of P. larvae were widespread and occurred in seven of eight apiaries. At the colony level, 22.3% of the inspected colonies contained P. larvae spores and two P. larvae genotypes, the common ERIC I and the more virulent, fast killing ERIC II were identified. Moreover, 62.1% of the spore-containing colonies were presumably lost by AFB infection during the two-year study. This assumption is based on three facts: adult bee and brood analyses of the colonies using the Liebefeld method (Delaplane et al. 2013) showed that adult bees in spore-free colonies reared three times more brood/bee than bees in spore-containing colonies (Supplementary Fig. S1), spore-containing colonies had higher proportions of open brood cells within capped brood cell areas (Fig. 4) indicating failures in brood development and the colonies did not die due to food shortage since the dead colonies had food reserves of either honey or winter feed of more than 1 kg. However, it cannot be ruled out that other factors such as Varroa destructor and viruses might also influence colony mortality (vanEngelsdorp and Meixner 2010; Smith et al. 2013).

The high prevalence of P. larvae in Palestine from randomly selected colonies resembles the result of a previous study in Jordan (32.4%; Arabiat et al. 2012) and could be explained by several reasons. First, the lack of knowledge about the presence of the disease and the missing experience of beekeepers to recognize it. This was probably due to the absence of specific visual clinical symptoms and due to the removal the diseased larvae by hygienic bees as indicated by the spotty brood nest appearance (Genersch 2010). Moreover, the preventive application of antibiotics like OTC against AFB inhibits the growth of vegetative forms of P. larvae but do not kill the spores (Stephan et al. 2019) which still allows the spread of spores between colonies. In contrast to the high prevalence of P. larvae in Palestine, colony prevalences between 0.3 and 2% derived from honey samples were reported in most European countries, such as in Germany (Genersch et al. 2010), as well as in Uruguay (Antúnez et al. 2012). Similar low colony prevalences based on other sources such as adult honey bees occurred in New Zealand (0,47%) (Hall et al. 2021) The low prevalence of AFB is the direct consequence of systematic national monitoring approaches combined with effective eradication programs in these countries (Antúnez et al. 2012).

The results also show higher spore loads and prevalences in fall than in summer and spring. This seasonal pattern was similar to that in Slovenia (Žugelj et al. 2021) but different from most other studies which showed a lower prevalence of AFB in fall (EPILOBEE Consortium 2016 ( ; Morawetz et al. 2019). This higher prevalence in fall could be explained by the feeding of contaminated imported honey by beekeepers during summer nectar dearth and may also be affected by the treatment of 62,5% of all inspected colonies with the antibiotic OTC in spring. Its inhibitory effect on the vegetative forms of the bacteria did not persist since prevalence, colony survival and number of CFU did not differ statistically between OTC-treated and untreated colonies in fall. Antibiotic treatment against P. larvae is recommended by but were not realized by Palestinian beekeepers.

Typically, AFB disease is diagnosed based on presence of typical AFB symptoms and the identification of P. larvae agent (OIE, 2018; de Graaf et al. 2013). In this study, we looked for any clinical symptoms such as ropiness and scales during each inspection as well as identified the pathogen agent in the honey stored close to the brood nest, which was considered a proper measure of the colony infected by AFB disease when the clinical symptoms were absent (Forsgren and Laugen 2014; Bassi et al. 2018). Basically, P. larvae is identified by morphological characteristics, biochemical reactions, microscopic analysis, and molecular techniques (de Graaf et al. 2013). Also, in the current study, PCR techniques and DNA sequencing were applied to identify P. larvae using primers for 16 S rRNA gene (Govan et al. 1999). The sequences deposited in the NCBI database matched with 100% identity with sequences from Tunisia (FJ649358; (Hamdi et al. 2013), Italy (AY030079; (Lauro et al. 2003), Germany (DQ079622 and CP019651.1; (Genersch et al. 2006; Beims et al. 2020) and USA (CP019687 representing the reference strain ATCC-9545; (Dingman 2017) and with 99% with an isolate from the neighbouring country Saudi Arabia (KR780760; (Ansari et al. 2017).

Specifically, the different virulences of ERIC genotypes of P. larvae had driven us to determine these genotypes in our isolates. The genotypes ERIC I and ERIC II occurred in six and two apiaries respectively. ERIC I seems to be more prevalent P. larvae genotype worldwide (Loncaric et al. 2009; Rusenova et al. 2013; Morrissey et al. 2015; Chemurot et al. 2016; Krongdang et al. 2017; Bassi et al. 2018; Hristov et al. 2021). So far, ERIC II has been identified in some countries (Morrissey et al. 2015; Hirai et al. 2016; Hristov et al. 2021). Recently, in Slovenia and Czech republic ERIC II was found more predominant than ERIC I (Biová et al. 2021; Žugelj et al. 2021). Both genotypes were isolated in one apiary (Aldahryia), showing that mixed infections of the ERIC I and II could occur as already reported (Loncaric et al. 2009; Bassi et al. 2015; Ågren et al. 2017). Notably, ERIC I-infected colonies often exhibit more recognizable and prolonged symptoms, such as the classic ropy larval remains, which increases the likelihood of detection during inspections (Beims et al. 2020; Hristov et al. 2021). This leads to a potential detection bias, making ERIC I appear more prevalent than it may actually be. In contrast, ERIC II tends to cause faster larval death and colony collapse, possibly resulting in underdiagnosis (Genersch et al. 2005). Therefore, our genotype frequency results may reflect the less easy detection of ERIC II and not necessarily the real genotype frequencies since hygienic workers remove infected larvae from uncapped cells (Brødsgaard et al. 2000) in medium fast killing ERIC II genotypes (Genersch et al. 2006; Beims et al. 2020) resulting in empty cells and leaving a scattered brood pattern as detected in Palestinian bee colonies and also resulting in presumably lower spore loads by ERIC II infections (Rauch et al. 2009).

Due to the discrepancy between the detected high prevalence of P. larvae spores and the absence of typical AFB symptoms (Genersch 2010) in Palestinian colonies, the number open brood cells within areas of the capped brood cells were used as the only remaining visual proxy for AFB. They were significantly higher in spore-containing than healthy colonies. However, this symptom provides only indirect evidence because it is also present with other brood diseases such as Varroa mite (Morawetz et al. 2019), European foulbrood disease (Forsgren 2010) and Sacbrood virus (Bailey and Fernando 1972). But spotty brood pattern and dwindling colony strength may serve as helpful initial indicators of AFB disease in Palestine for the beekeepers and require once detected further specific identification steps. Moreover, brood production was negatively correlated with presence of spores in colonies. Spore-free colonies reared three times more brood than spore-containing colonies. As a consequence the number of emerging bees should decrease, disrupting bee performance, and cause weakening colonies that finally die (Rauch et al. 2009; Stephan et al. 2020).

The origin of P. larvae in Palestine, its first occurrence and transmission route are unknown. In general, transmission routes include biological transmissions by robbing and drifting bees, and other vectors such as Varroa mite and small hive beetle, but also beekeeping activities such as feeding with imported contaminated honey and pollen, trading colonies or queens, exchanging frames between honey bee colonies. or transmission via contaminated beekeeping tools and clothes and migratory beekeeping (Jacobs 2002; Fries et al. 2006; Lindström et al. 2008b; Schäfer et al. 2010; Anjum et al. 2015; Jończyk-Matysiak et al. 2020). Since migratory beekeeping is limited in Palestine, transmission by foraging bee activities seems unlikely, but colonies in one hot spot (Al-Dahiriya apiary) were fed with imported honey during summer nectar dearth which might explain the co-appearance of ERIC I and II within this apiary, whereas colony trading may explain the infections in Ubedyia apiary and Battir. Such a transmission route was reported from Sweden where one beekeeper who sold infected colonies was the main source for AFB transmission between apiaries (Ågren et al. 2017). However, our sampling and monitoring approach only allow indirect conclusions. Deciphering the transmission routes would require to use molecular identification tools such as multilocus sequencing techniques (Morrissey et al. 2015), multiplex PCR (Okamoto et al. 2022) and/or highly sensitive quantitative PCR (Papić et al. 2024) in the future, a tightly scheduled sampling scheme and the extension of sampling to adult honey bees (Bassi et al. 2018) as well as to honey and bee colony trading in the future.

High numbers of P.larvae-spore-containing colonies and the loss of around 62% of the spore-containing colonies throughout the study, obliged us to be more aware of combating AFB in Palestine. Three major treatments are effective (Genersch 2010): Burning colonies and contaminated hive material, the less harsh shook swarm method and the use of antibiotics. However, the latter treatment method is banned in most European countries because it leads to unacceptable residues in honey. In addition, antibiotics only mask the symptoms of AFB rather than curing it (Pettis and Feldlaufer 2005; EPILOBEE Consortium et al. 2016; Krongdang et al. 2017).

Currently P. larvae infections in Palestine would result in an eradication of the infected colonies. Successful national strategies like in New Zealand where AFB is controlled by legislation and beekeepers are required to undertake regular hive inspections and destroy infected colonies within seven days of after being discovered and quarantine management lead to low prevalence of 0.085% (Hall et al. 2021). In Uruguay early detection by continuous monitoring and control programs that include the national authorities organizing extension activities resulted in a decrease of the AFB prevalence from 51% in 2001–2002 to only 2% in 2011 (Antúnez et al. 2012). Thus, a valuable and helpful strategy to control this disease in Palestine should include early detection by continuous colony monitoring, treatment regimens with shook swarm method or eradication of infected colonies, quarantine management, refrain from the use of antibiotics and beekeeper education programs.

Conclusions

This study is the first to report on the prevalence of P. larvae in Palestinian honeybee colonies.The absence of typical clinical symptoms reveal significant gaps in current AFB surveillance methods. The widespread occurrence of the disease, coupled with a 62% loss of spore-containing colonies, underscores the urgent need for improved diagnostic strategies, surveillance protocols, and biosecurity practices. We recommend targeted training for beekeepers to recognize early infection signs and suggest that policymakers implement region-specific AFB management guidelines, including antibiotic stewardship and resistance monitoring. Given the unknown transmission routes within Palestine, further research is needed to trace the spread of P. larvae, particularly the more virulent ERIC II genotype, using molecular techniques. Collaborative efforts with neighboring countries could enhance these initiatives, helping to mitigate the impact of AFB and safeguard colony health in the region.

Supplementary Information

Below is the link to the electronic supplementary material.

ESM 1 (55.6KB, docx)

DOCX (55.6 KB)

Acknowledgements

We thank Christin Hesse and Franziska Wenzel for technical support during the sample analysis and the beekeepers Ismael Haresh, Hani Abeiat, Battir beekeeping Union community, Iyad Manasra, Ahmad Safi, Mohammad Zeyad, Shehab, Ayman Abo-Khartabil for cooperation and providing honey bee colonies. Dr. Alqurneh was supported by scholarship from german Catholic Academic Exchange Service (KAAD).

Authors’ contributions

Conceptualization, funding acquisition, supervision, project administration A-J.H. and H.-H.K.; data curation, formal analysis, investigation, resources, all authors; methodology, A.-J.H., H.-H.K, I.N. and M.A.; validation, A.-J.H., H.-H.K. and M.A.; visualization, H.-H.K. and M.A.; writing—original draft preparation, H.-H.K and M.A.; writing—review and editing, all authors.

Funding

Open Access funding enabled and organized by Projekt DEAL. This work was supported by the German Ministry of Education and Research (BMBF) and Palestinian Ministry of Higher Education (MOHE) Project No. PalGer2015-34-053.

Data availability

Datasets used can be required to corresponding author.

Declarations

Ethical approval

No approval of research ethics committees was required to accomplish the goals of this study because experimental work was conducted with an unregulated invertebrate species.

Consent to participate and publish

 All authors read and approved the final manuscript.

Competing interests

The authors declare no competing interests.

Footnotes

Publisher’s Note

Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

References

  1. Ågren J, Schäfer MO, Forsgren E (2017) Using whole genome sequencing to study American foulbrood epidemiology in honeybees. PLoS ONE 12:e0187924. 10.1371/journal.pone.0187924 [DOI] [PMC free article] [PubMed] [Google Scholar]
  2. Alburaki M, Abban SK, Evans JD, Chen YP (2025) A thirty-two-year (1984–2015) longitudinal analysis of honey bee disease and pathogen prevalence in the USA. Apidologie. 10.1007/s13592-025-01187-8 [Google Scholar]
  3. Alippi AM, Albo GN, Reynaldi FJ, Giusti MR, De (2005) In vitro and in vivo susceptibility of the honeybee bacterial pathogen Paenibacillus Larvae subsp. Larvae to the antibiotic Tylosin. Vet Microbiol 109:47–55. 10.1016/j.vetmic.2005.03.008 [DOI] [PubMed] [Google Scholar]
  4. Altschul SF, Gish W, Miller W et al (1990) Basic local alignment search tool. J Mol Biol 215:403–410. 10.1016/S0022-2836(05)80360-2 [DOI] [PubMed] [Google Scholar]
  5. Anjum SI, Shah AH, Azim MK et al (2015) Prevalence of American foul brood disease of honeybee in north-west Pakistan. Biotechnol Biotechnol Equip 29:659–665. 10.1080/13102818.2015.1040454 [Google Scholar]
  6. Ansari MJ, Al-Ghamdi A, Nuru A et al (2017) Diagnosis and molecular detection of Paenibacillus larvae, the causative agent of American foulbrood in honey bees in Saudi Arabia. Int J Trop Insect Sci 37:137–148. 10.1017/S1742758417000133 [Google Scholar]
  7. Antúnez K, D’Alessandro B, Piccini C et al (2004) Paenibacillus larvae larvae spores in honey samples from uruguay: a nationwide survey. J Invertebr Pathol 86:56–58. 10.1016/j.jip.2004.03.011 [DOI] [PubMed] [Google Scholar]
  8. Antúnez K, Anido M, Branchiccela B et al (2012) American foulbrood in uruguay: twelve years from its first report. J Invertebr Pathol 110:129–131. 10.1016/j.jip.2012.02.008 [DOI] [PubMed] [Google Scholar]
  9. Arabiat A, Shahera Z, Suhair J (2012) Prevalence and distribution of American foulbrood (AFB) disease among Jordanian Governorates, depending on Microbiological and PCR techniques. Int J Biotechnol Biochem 8:131–144 [Google Scholar]
  10. Bailey L, Fernando EFW (1972) Effects of sacbrood virus on adult honey-bees. Ann Appl Biol 72:27–35. 10.1111/j.1744-7348.1972.tb01268.x [Google Scholar]
  11. Bassi S, Formato G, Milito M et al (2015) Phenotypic characterization and ERIC–PCR based genotyping of Paenibacillus larvae isolates recovered from American foulbrood outbreaks in honey bees from Italy. Vet Q 35:27–32. 10.1080/01652176.2014.993095 [DOI] [PubMed] [Google Scholar]
  12. Bassi S, Carpana E, Bergomi P, Galletti G (2018) Detection and quantification of Paenibacillus larvae spores in samples of bees, honey and hive debris as a tool for American foulbrood risk assessment. Bull Insectol 71:235–241 [Google Scholar]
  13. Bates D, Mächler M, Bolker BM, Walker SC (2015) Fitting Linear Mixed-Effects Models Using lme4. J Stat Softw 67(1):1–48. 10.18637/jss.v067.i01
  14. Beims H, Bunk B, Erler S et al (2020) Discovery of Paenibacillus larvae ERIC V: phenotypic and genomic comparison to genotypes ERIC I-IV reveal different inventories of virulence factors which correlate with epidemiological prevalences of American Foulbrood. Int J Med Microbiol 310:151394. 10.1016/j.ijmm.2020.151394 [DOI] [PubMed] [Google Scholar]
  15. Biová J, Bzdil J, Dostálková S et al (2021) American foulbrood in the Czech republic: ERIC II genotype of Paenibacillus larvae is prevalent. Front Vet Sci 8:1–5. 10.3389/fvets.2021.698976 [Google Scholar]
  16. Brødsgaard CJ, Hansen H, Ritter W (2000) Progress of Paenibacillus larvae larvae infection in individually inoculated honey bee larvae reared singly in vitro, in micro colonies, or in full-size colonies. J Apic Res 39:19–27. 10.1080/00218839.2000.11101017 [Google Scholar]
  17. Carra E, Galletti G, Carpana E et al (2022) A probe-based qPCR method, targeting 16S rRNA gene, for the quantification of Paenibacillus larvae spores in powdered sugar samples. Appl Sci. 10.3390/app12199895 [Google Scholar]
  18. Chemurot M, Brunain M, Akol AM et al (2016) First detection of Paenibacillus larvae the causative agent of American foulbrood in a Ugandan honeybee colony. Springerplus 5:1090. 10.1186/s40064-016-2767-3 [DOI] [PMC free article] [PubMed] [Google Scholar]
  19. Corpet F (1988) Multiple sequence alignment with hierarchical clustering. Nucleic Acids Res 16:10881–10890. 10.1093/nar/16.22.10881 [DOI] [PMC free article] [PubMed] [Google Scholar]
  20. de Graaf DC, Alippi AM, Brown M et al (2006) Diagnosis of American foulbrood in honey bees : a synthesis and proposed analytical protocols. Lett Appl Microbiol 43:583–590. 10.1111/j.1472-765X.2006.02057.x [DOI] [PubMed] [Google Scholar]
  21. de Graaf DC, Alippi AM, Antúnez K et al (2013) Standard methods for American foulbrood research. J Apic Res 52:1–28. 10.3896/IBRA.1.52.1.11 [Google Scholar]
  22. Delaplane KS, van der Steen J, Guzman-Novoa E (2013) Standard methods for estimating strength parameters of Apis mellifera colonies. J Apic Res 52. 10.3896/IBRA/1.52.1.03
  23. Dingman DW (2017) Four complete Paenibacillus larvae genome sequences. Genome Announc 5:1–2. 10.1128/genomeA.00407-17 [Google Scholar]
  24. EPILOBEE Consortium, Chauzat M-P, Jacques A, Laurent M et al (2016) Risk indicators affecting honeybee colony survival in europe: one year of surveillance. Apidologie 47:348–378. 10.1007/s13592-016-0440-z [Google Scholar]
  25. Evans JD, Schwarz RS, Chen YP et al (2013) Standard methods for molecular research in Apis mellifera. J Apic Res 52:1–54. 10.3896/IBRA.1.52.4.11 [Google Scholar]
  26. Forsgren E (2010) European foulbrood in honey bees. J Invertebr Pathol 103:S5–S9. 10.1016/j.jip.2009.06.016 [DOI] [PubMed] [Google Scholar]
  27. Forsgren E, Laugen AT (2014) Prognostic value of using bee and hive debris samples for the detection of American foulbrood disease in honey bee colonies. Apidologie 45:10–20. 10.1007/s13592-013-0225-6 [Google Scholar]
  28. Fries I, Lindstrom A, Korpela S (2006) Vertical transmission of American foulbrood (Paenibacillus larvae) in honey bees (Apis mellifera). Vet Microbiol 114:269–274. 10.1016/j.vetmic.2005.11.068 [DOI] [PubMed] [Google Scholar]
  29. Genersch E (2010) American foulbrood in honeybees and its causative agent, Paenibacillus larvae. J Invertebr Pathol 103:S10–S19. 10.1016/j.jip.2009.06.015 [DOI] [PubMed] [Google Scholar]
  30. Genersch E, Ashiralieva A, Fries I (2005) Strain- and genotype-specific differences in virulence of Paenibacillus larvae subsp. larvae, a bacterial pathogen causing American foulbrood disease in honeybees. Appl Environ Microbiol 71:7551–7555. 10.1128/AEM.71.11.7551-7555.2005 [DOI] [PMC free article] [PubMed] [Google Scholar]
  31. Genersch E, Forsgren E, Pentikäinen J et al (2006) Reclassification of Paenibacillus larvae subsp. pulvifaciens and Paenibacillus larvae subsp. larvae as Paenibacillus larvae without subspecies differentiation. Int J Syst Evol Microbiol 56:501–511. 10.1099/ijs.0.63928-0 [DOI] [PubMed] [Google Scholar]
  32. Genersch E, von der Ohe W, Kaatz H et al (2010) The German bee monitoring project: a long term study to understand periodically high winter losses of honey bee colonies. Apidologie 41:332–352. 10.1051/apido/2010014 [Google Scholar]
  33. Govan VA, Allsopp MH, Davison S (1999) A PCR detection method for rapid identification of Paenibacillus larvae. Appl Environ Microbiol 65:2243–2245. 10.1128/AEM.65.5.2243-2245.1999 [DOI] [PMC free article] [PubMed] [Google Scholar]
  34. Hall RJ, Pragert H, Phiri BJ et al (2021) Apicultural practice and disease prevalence in Apis mellifera, New Zealand: a longitudinal study. J Apic Res 0(5):1. 10.1080/00218839.2021.1936422 [Google Scholar]
  35. Hamdi C, Essanaa J, Sansonno L et al (2013) Genetic and biochemical diversity of Paenibacillus larvae isolated from Tunisian infected honey bee broods. BioMed Res Int 2013:1–9. 10.1155/2013/479893 [Google Scholar]
  36. Hasemann L (1961) How long can spores of American foulbrood live? Am Bee J 101:298–299 [Google Scholar]
  37. Hirai Y, Suzuki T, Inaba N et al (2016) Existence of Paenibacillus larvae genotypes ERIC I-ST2, ERIC I-ST15 and ERIC II-ST10 in the western region of Aichi prefecture, Japan. J Vet Med Sci 78:1195–1199. 10.1292/jvms.16-0041 [DOI] [PMC free article] [PubMed] [Google Scholar]
  38. Holm S (1979) A simple sequentially rejective multiple test procedure. Scand J Stat 6:65–70 [Google Scholar]
  39. Hristov YV, Le Roux JJ, Allsopp MH, Wossler TC (2021) Identity and distribution of American foulbrood (Paenibacillus larvae) in South Africa. J Apic Res. 10.1080/00218839.2021.1887635 [Google Scholar]
  40. Hulaj B, Granato A, Bordin F et al (2024) Applied sciences emergent and known honey bee pathogens through passive surveillance in the Republic of Kosovo. Appl Sci 14(3):987. 10.3390/app14030987
  41. Jacobs FJ (2002) The possible role of Varroa destructor in the spreading of American foulbrood among apiaries. Exp Appl Acarol. 10.1023/a:1023392912999 [DOI] [PubMed] [Google Scholar]
  42. Jończyk-Matysiak E, Popiela E, Owczarek B et al (2020) Phages in therapy and prophylaxis of American foulbrood – recent implications from practical applications. Front Microbiol 11:1–16. 10.3389/fmicb.2020.01913 [DOI] [PMC free article] [PubMed] [Google Scholar]
  43. Klein A-M, Vaissière BE, Cane JH et al (2007) Importance of pollinators in changing landscapes for world crops. Proc R Soc Lond B Biol Sci 274:303–313. 10.1098/rspb.2006.3721 [Google Scholar]
  44. Kochansky J, Knox DA, Feldlaufer M, Pettis JS (2001) Screening alternative antibiotics against oxytetracycline-susceptible and -resistant Paenibacillus larvae. Apidologie 32:215–222. 10.1051/apido:2001123 [Google Scholar]
  45. Krongdang S, Evans JD, Pettis JS, Chantawannakul P (2017) Multilocus sequence typing, biochemical and antibiotic resistance characterizations reveal diversity of North American strains of the honey bee pathogen Paenibacillus larvae. PLoS One 12:e0176831. 10.1371/journal.pone.0176831 [DOI] [PMC free article] [PubMed] [Google Scholar]
  46. Lauro FM, Favaretto M, Covolo L et al (2003) Rapid detection of Paenibacillus larvae from honey and hive samples with a novel nested PCR protocol. Int J Food Microbiol 81:195–201. 10.1016/S0168-1605(02)00257-X [DOI] [PubMed] [Google Scholar]
  47. Lin Z, Shen S, Wang K, Ting JI (2023) Biotic and abiotic stresses on honeybee health. Integr Zool 1–16. 10.1111/1749-4877.12752
  48. Lindström A, Korpela S, Fries I (2008a) The distribution of Paenibacillus larvae spores in adult bees and honey and larval mortality, following the addition of American foulbrood diseased brood or spore-contaminated honey in honey bee (Apis mellifera) colonies. J Invertebr Pathol 99:82–86. 10.1016/j.jip.2008.06.010 [DOI] [PubMed] [Google Scholar]
  49. Lindström A, Korpela S, Fries I (2008b) Horizontal transmission of Paenibacillus larvae spores between honey bee ( Apis mellifera ) colonies through robbing. Apidologie 39:515–522. 10.1051/apido:2008032 [Google Scholar]
  50. Loncaric I, Derakhshifar I, Oberlerchner JT et al (2009) Genetic diversity among isolates of Paenibacillus larvae from Austria. J Invertebr Pathol 100:44–46. 10.1016/j.jip.2008.09.003 [DOI] [PubMed] [Google Scholar]
  51. Maggi M, Antúnez K, Invernizzi C et al (2016) Honeybee health in South America. Apidologie 47:835–854. 10.1007/s13592-016-0445-7 [Google Scholar]
  52. Morawetz L, Köglberger H, Griesbacher A et al (2019) Health status of honey bee colonies (Apis mellifera) and disease-related risk factors for colony losses in Austria. PLoS One 14:e0219293. 10.1371/journal.pone.0219293 [DOI] [PMC free article] [PubMed] [Google Scholar]
  53. Morrissey BJ, Helgason T, Poppinga L et al (2015) Biogeography of Paenibacillus larvae, the causative agent of American foulbrood, using a new multilocus sequence typing scheme. Environ Microbiol 17:1414–1424. 10.1111/1462-2920.12625 [DOI] [PMC free article] [PubMed] [Google Scholar]
  54. Neumann P, Carreck NL, Currie RW et al (2010) Honey bee colony losses in Canada. J Apic Res 49:104–106. 10.3896/IBRA.1.49.1.18 [Google Scholar]
  55. Nganso BT, Ayalew W, Wubie AJ et al (2025) Honey bee colony losses and causes during the active beekeeping season 2022/2023 in nine Sub-Saharan African countries. PLoS ONE 20:1–19. 10.1371/journal.pone.0322489 [Google Scholar]
  56. Okamoto M, Furuya H, Sugimoto I et al (2022) A novel multiplex PCR assay to detect and distinguish between different types of Paenibacillus larvae and Melissococcus plutonius, and a survey of foulbrood pathogen contamination in Japanese honey. J Vet Med Sci 84:390–399. 10.1292/jvms.21-0629 [DOI] [PMC free article] [PubMed] [Google Scholar]
  57. Papić B, Žvokelj L, Pislak Ocepek M, Hočevar B, Kozar M, Rus R, Zajc U, Kušar D (2024) The diagnostic value of qPCR quantification of Paenibacillus larvae in hive debris and adult bees for predicting the onset of American foulbrood. Vet Sci 11(9):442. 10.3390/vetsci11090442 [DOI] [PMC free article] [PubMed] [Google Scholar]
  58. Pernal SF, Albright RL, Melathopoulos AP (2008) Evaluation of the shaking technique for the economic management of American foulbrood disease of honey bees (Hymenoptera: Apidae). J Econ Entomol 101:1095–1104. 10.1093/jee/101.4.1095 [DOI] [PubMed] [Google Scholar]
  59. Pettis JS, Feldlaufer MF (2005) Efficacy of lincomycin and tylosin in controlling American foulbrood in honey bee colonies. J Apic Res 44:106–108. 10.1080/00218839.2005.11101158 [Google Scholar]
  60. Poppinga L, Genersch E (2015) Molecular pathogenesis of American foulbrood: how paenibacillus larvae kills honey bee larvae. Curr Opin Insect Sci 10:29–36. 10.1016/j.cois.2015.04.013 [DOI] [PubMed] [Google Scholar]
  61. R-Development-Core-Team (2007) R installation and administration. Version 4.2.1. Development 0:60 [Google Scholar]
  62. Rauch S, Ashiralieva A, Hedtke K, Genersch E (2009) Negative correlation between individual-insect-level virulence and colony-level virulence of Paenibacillus larvae, the etiological agent of american foulbrood of honeybees. Appl Environ Microbiol 75:3344–3347. 10.1128/AEM.02839-08 [DOI] [PMC free article] [PubMed] [Google Scholar]
  63. Ritter W, Kiefer MB (1995) A method for diagnosing Bacillus larvae in honey samples. Anim Res Dev 42:7–13 [Google Scholar]
  64. Rusenova N, Parvanov P, Stanilova S (2013) Molecular typing of Paenibacillus larvae strains isolated from Bulgarian apiaries based on repetitive element polymerase chain reaction (Rep-PCR). Curr Microbiol 66:573–577. 10.1007/s00284-013-0318-5 [DOI] [PubMed] [Google Scholar]
  65. Sanger F, Nicklen S, Coulson AR (1977) DNA sequencing with chain-terminating inhibitors. Proc Natl Acad Sci 74:5463–5467. 10.1073/pnas.74.12.5463 [DOI] [PMC free article] [PubMed] [Google Scholar]
  66. Schäfer MO, Ritter W, Pettis J, Neumann P (2010) Small hive beetles, aethina tumida, are vectors of Paenibacillus larvae. Apidologie 41:14–20. 10.1051/apido/2009037 [Google Scholar]
  67. Smith KM, Loh EH, Rostal MK et al (2013) Pathogens, pests, and economics: drivers of honey bee colony declines and losses. EcoHealth 10:434–445. 10.1007/s10393-013-0870-2 [DOI] [PubMed] [Google Scholar]
  68. Stephan JG, Lamei S, Pettis JS et al (2019) Honeybee-specific lactic acid bacterium supplements have no effect on American foulbrood-infected honeybee colonies. Appl Environ Microbiol 85:18–19. 10.1128/AEM.00606-19 [Google Scholar]
  69. Stephan JG, de Miranda JR, Forsgren E (2020) American foulbrood in a honeybee colony: spore-symptom relationship and feedbacks between disease and colony development. BMC Ecol 20:15. 10.1186/s12898-020-00283-w [DOI] [PMC free article] [PubMed] [Google Scholar]
  70. Van Engelsdorp D, Meixner MD (2010) A historical review of managed honey bee populations in Europe and the United States and the factors that may affect them. J Invertebr Pathol 103:S80–S95. 10.1016/j.jip.2009.06.011 [DOI] [PubMed] [Google Scholar]
  71. Versalovic J, Schneider M, De Bruijn FJ JRL (1994) Genomic fingerprinting of bacteria using repetitive sequence-based polymerase chain reaction. Methods Mol Cell Biol 5:25–40 [Google Scholar]
  72. Wickham H (2016) ggplot2: Elegant Graphics for Data Analysis. Springer-Verlag, New York [Google Scholar]
  73. World Organisation for Animal Health (OIE) (2009) World animal health information Database. Paris. France. World Organ Anim Heal
  74. World Organisation for Animal Health (OIE) (2018) American foulbrood of honey bees(infection of honey bees with Paenibacillus Larvae). OIE. Manual of Diagnostic Tests and Vaccines for Terrestrial Animals. World Organisation for Animal Health, Paris, pp 719–735
  75. Žugelj A, Papić B, Zdovc I et al (2021) ERIC and WGS typing of Paenibacillus larvae in slovenia: investigation of ERIC I outbreaks. Insects 12:362. 10.3390/insects12040362 [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

ESM 1 (55.6KB, docx)

DOCX (55.6 KB)

Data Availability Statement

Datasets used can be required to corresponding author.


Articles from Veterinary Research Communications are provided here courtesy of Springer

RESOURCES