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Article

Honey Environmental DNA Can Be Used to Detect and Monitor Honey Bee Pests: Development of Methods Useful to Identify Aethina tumida and Galleria mellonella Infestations

1
Department of Agricultural and Food Sciences, University of Bologna, Viale Giuseppe Fanin 46, 40127 Bologna, Italy
2
GRIFFA srl, Viale Fanin 48, 40127 Bologna, Italy
*
Author to whom correspondence should be addressed.
Vet. Sci. 2022, 9(5), 213; https://doi.org/10.3390/vetsci9050213
Submission received: 31 December 2021 / Revised: 9 March 2022 / Accepted: 26 April 2022 / Published: 27 April 2022
(This article belongs to the Special Issue Honey Bee Pathogens and Parasites)

Abstract

:
Environmental DNA (eDNA) contained in honey derives from the organisms that directly and indirectly have been involved in the production process of this matrix and that have played a role in the hive ecosystems where the honey has been produced. In this study we set up PCR-based assays to detect the presence of DNA traces left in the honey by two damaging honey bee pests: the small hive beetle (Aethina tumida) and the greater wax moth (Galleria mellonella). DNA was extracted from 82 honey samples produced in Italy and amplified using two specific primer pairs that target the mitochondrial gene cytochrome oxidase I (COI) of A. tumida and two specific primer pairs that target the same gene in G. mellonella. The limit of detection was tested using sequential dilutions of the pest DNA. Only one honey sample produced in Calabria was positive for A. tumida whereas about 66% of all samples were positively amplified for G. mellonella. The use of honey eDNA could be important to establish early and effective measures to contain at the local (e.g., apiary) or regional scales these two damaging pests and, particularly for the small hive beetle, to prevent its widespread diffusion.

1. Introduction

Environmental DNA (eDNA) offers a way to detect organisms without direct visual observation and sampling, giving the possibility to identify and monitor cryptic and elusive organisms that would be technically difficult or time consuming to be sampled or detected [1,2,3,4]. Environmental DNA methodologies are adapted according to the organisms and the objectives of the monitoring, that, in turn, require appropriate methods of collection and analysis of specimens to produce DNA information with targeted or untargeted approaches [5,6,7]. Environmental DNA can be also useful to detect pathogens, parasites and pests that are usually very complicated to monitor, especially when there is the need to obtain timely information or when it would be important to obtain data on their dispersion [8,9].
Honey is a unique collector of eDNA that can be exploited for several applications that may benefit the beekeeping sector [10,11,12,13,14,15,16,17,18,19]. Environmental DNA in the honey derives from all organisms that directly and indirectly have been involved in its production process and that have been part of the hive ecosystem where it comes from [10,11]. For example, the pollen that is contained in the honey is a source of plant DNA that can be used to define its botanical origin and, in turn, its geographical origin [12,13]. Honey contains DNA traces of the honey bees that produced it [13,14]. This DNA has been used to identify the entomological origin of the honey [13,14,15,16,17]. Honey bee pathogens and parasites can be detected using honey eDNA, which also provides information to monitor their distribution over large geographical areas [18,19,20,21,22,23,24]. For example, we used honey eDNA to establish the first distribution map of a honey bee parasite, Lotmaria passim, in the north of Italy, combining geographic positioning of the production sites and a targeted analysis designed to specifically amplify DNA of this trypanosome parasite [24].
Aethina tumida (Murray, 1867), commonly known as small hive beetle (SHB), is a coleopter of the family Nitidulidae, that is a highly invasive and destructive scavenger of Apis mellifera colonies [25,26,27]. This pest is native to sub-Saharan Africa, where it is usually considered a minor problem for the local beekeeping activities due to co-evolution and adaptation of the African honey bee subspecies [26,27,28,29,30,31]. In 1996, SHB was discovered for the first time in the USA [32]. After this first identification outside its endemic range, A. tumida was discovered in several other countries where it is causing relevant damages to the apiculture sector [33,34,35,36,37]. The spread of SHBs is a currently ongoing and worrying process that seems difficult to face and control, as demonstrated by several recent reports that indicated the introduction of this beetle in countries of all continents, except Antarctica [36,37,38,39,40,41,42,43,44,45,46,47]. Late recognition of this pest in some newly invaded regions has prevented the possibility to establish appropriate measures to eradicate and contain SHBs, resulting in widespread infestations, impossible to manage [27,30,32,37,48]. Early detection has been suggested to be one of the most effective contingency measures to limit the spread of SHBs [37,48]. A few DNA-based detection assays applied directly to collected A. tumida specimens or hive debris have been proposed as monitoring tools [49,50,51,52,53,54,55].
The greater wax moth Galleria mellonella (Linnaeus 1758), also known as the bee-moth, or honeycomb moth, is a member of the family Pyralidae of Lepidopteran order that is considered a serious honey bee pest because of the destructive feeding habits of its larvae. Larvae of this pest usually live in beehives and feed on wax, pollen, honey and young bees, also creating a lot of damage to stored combs and beekeeping equipment [56,57]. The greater wax moth is ubiquitously distributed in all countries where beekeeping is practiced creating relevant economic losses, with increasing negative impacts especially in Africa and Asia [56,57,58,59,60]. G. mellonella has been mainly investigated as a model organism for insect physiology, infection mechanisms, immune response and drug testing and as a bioindicator or as a source of biotechnology applications [56,61,62,63]. As far as we know, no specifically designed DNA-based methods have been developed to detect and monitor this pest.
In this study, we designed targeted DNA-based assays to identify traces of A. tumida and G. mellonella in honey through its eDNA. The use of honey eDNA to detect and monitor these two insects could be important to establish early and effective measures to contain these two damaging pests at the local (e.g., apiary) or regional scales.

2. Materials and Methods

2.1. Samples

A total of 79 honey samples (55 monofloral, 13 polyfloral and 11 honeydew honey samples) were provided by beekeepers or purchased from trade markets. All honey samples were produced in Italy (in 16 out of 20 regions) in the years from 2007 to 2019. One honey sample produced in Calabria was obtained from an apiary that was known to be infested by A. tumida. Table S1 reports the list of samples, including their origin and the year of production. Three other honey samples, obtained from honeycombs of three different colonies were from Bovo et al. [11]. These three honey samples were analysed by whole DNA shot-gun sequencing and bioinformatic analyses assigned several reads to A. tumida genome, even if the matches were considered spurious results derived by the presence of DNA traces from coleopters in the samples [11].
Four adult SHBs were collected from the infested apiary in Calabria region from which we also collected the honey sample mentioned above. The identification of the specimens was obtained according to the morphological method of the European Union Reference Laboratory (EURL) for Bee Health [64]. Four adult greater wax moths were collected from infested honeycombs stored by a beekeeper in Emilia Romagna region (Italy). Classification of these specimens was obtained following the dichotomous keys of Ellis et al. [57]. Four honey bees were collected from an apiary in Emilia Romagna region. All insects were brought to the laboratory in absolute ethanol and then stored at −20 °C till DNA extraction. All activities followed the Italian Regulation of Veterinary Inspection (Regolamento di Polizia Veterinaria) [65].

2.2. DNA Extraction

DNA was extracted from the honey samples following the protocol previously reported [12,23,24]. Briefly, 50 g of honey for each sample was divided into four 50 mL tubes (12.5 g for each tube), which were then filled with ultrapure water, vortexed and then incubated at 40 °C for 30 min. The tubes were then centrifuged for 25 min at 5000× g at room temperature and the resulting supernatant was discarded. To each tube, five mL of ultrapure water was added to the obtained pellet which was resuspended. The content of the four tubes was merged in one and then diluted again with ultrapure water. Another centrifugation step (25 min at 5000× g at room temperature) obtained a final pellet which was resuspended in 0.5 mL of ultrapure water. Then, 1 mL of CTAB extraction buffer (2% (w/v) cetyltrimethylammonium bromide; 1.4 M NaCl; 100 mM Tris-HCl; 20 mM EDTA; pH 8) and 5 μL of RNase A solution (10 mg/mL) were added to the resuspended pellet and incubated for 10 min at 60 °C. After, 30 μL of proteinase K (20 mg/mL) was added for an incubation at 65 °C for 90 min that included a gentle mixing. Samples were then cooled at room temperature and subsequently centrifuged for 10 min at 16,000× g. After this step, 700 μL of the supernatant was transferred into another tube containing 500 μL of chloroform/isoamyl alcohol (24:1). Then, the content was mixed by vortexing before a centrifugation for 15 min at 16,000× g at room temperature. The supernatant was transferred into a new 1.5 mL tube where the DNA was precipitated with 500 μL of isopropanol and then with 500 μL of ethanol 70%. The DNA pellets were rehydrated with 30 μL of sterile water and stored at −20 °C until the PCR analyses.
DNA extraction from the legs of the small hive beetles, the head of the greater wax moths and the head of the honey bees was carried out using the Wizard® Genomic DNA Purification Kit (Promega, Promega Corporation, Madison, WI, USA), following the manufacturer’s instructions for animal tissues.
Extracted DNA was visually evaluated by 1% agarose gel electrophoresis in TBE 1X buffer, after staining with 1X GelRed Nucleic Acid Gel Stain (Biotium Inc., Hayward, CA, USA) and quality checked using the NanoPhotometer IMPLEN P300 (Implen GmbH, München, Germany).

2.3. PCR Primers and PCR Analyses

Novel PCR primers used to amplify the DNA of A. tumida and G. mellonella were designed using the Primer-BLAST tool of the National Center for Biotechnology Information (NCBI) [66] which was developed to make primers that are specific to intended PCR targets [67]. Primer Pair Specificity Checking Parameters included the use of the whole Nucleotide Collection (March 2021) setting as organisms Arthropoda or “nr” (non-redundant Nucleotide Collection), primers with a minimum of six total mismatched to unintended targets of which at least four mismatches were at the 3′-end.
The target sequence for A. tumida was a region of the mitochondrial genome sequence (accession number MF943248 [68]) that encompassed the cytochrome oxidase I gene (COI), that was analysed for a total of 139,780 BLAST hits. To detect the DNA of A. tumida, in addition to the novel PCR primer pair, we also tested the primers developed by Li et al. [51] that were used for a qualitative assay. This primer pair (Atum-3) targets a region of the COI gene. Target sequences for G. mellonella were two cytochrome oxidase I gene (COI) regions of the mitochondrial genome of this species (accession number KT750964 [69]), that were analysed for a total of 138651 BLAST hits. Primer sequences, amplicon size and PCR conditions are reported in Table 1. Owing to the fact that extracted DNA from honey is usually highly degraded [12,16,22,23,24], to assess the possibility of successfully amplifying the DNA fragments from honey samples, we first verified if amplification from this matrix could be obtained for Apis mellifera DNA [22,23,24]. Primers to amplify honey bee DNA that targeted a region of the A. mellifera mitochondrial genome (Table 1) were already reported [16,17].
Table 1. PCR primers, PCR conditions and amplified mitochondrial DNA regions.
Table 1. PCR primers, PCR conditions and amplified mitochondrial DNA regions.
Target SpeciesPrimer Pair NamePrimer Sequences (5′-3′): Forward (For) and Reverse (Rev)Size/Ta 1Amplified Region
A. tumidaAtumida_cox1_190For: AGCCCAGTAACTCTATGAGCA
Rev: GGAATCATTGAACAAATCCGGC
190/53COI
A. tumidaAtum-3 2For: CCCATTTCCATTATGTWYTATCTATAGG
Rev: CTATTTAAAGTYAATCCTGTAATTAATGG
97/53COI
G. mellonellaGallMelCox1_182For: TGAACTTGGTAATCCTGGTTCT
Rev: TATTATTAAGTCGGGGGAAAGC
182/58COI
G. mellonellaGallMelCox1_169For: TTTTTAGGACTTGCAGGTATGC
Rev: GGGGAAATAATACTGTTCGTTG
169/58COI
A. melliferaACM 3For: GGCAGAATAAGTGCATTG
Rev: TTAATATGAATTAAGTGGGG
C 85, M 139, A 153/51COI-COII
1 Size: length of the amplified fragment in bp; Ta: annealing temperature (°C) used in the PCR analyses; 2 Primer pair developed by Li et al. [51]. 3 Primer described in Utzeri et al. [16] used to test the quality of the extracted DNA from honey samples already. Size of the amplified fragment is related to the mitotype of A. mellifera [16].
Amplifications were performed on a SimpliAmp Thermal Cycler (Thermo Fisher Scientific, Waltham, MA, USA). Reactions were run in a total volume of 20 μL including: KAPA HiFi HotStart Mastermix (Kapa Biosystems, Wilmington, MA, USA); 10 pmol of each primer of the selected primer pair; 10–50 ng of isolated DNA. The PCR profile was the following: initial denaturation step at 95 °C for 3 min; 35 cycles of alternate temperatures (20 s at 98 °C, 15 s at the specific annealing temperature for the different primer pairs as reported in Table 1, 30 s at 72 °C); a final extension step at 72 °C for 1 min. Amplifications for the honey DNA were carried in parallel using the DNA extracted from the two targeted insects as a positive control and as a negative control, no DNA. Amplification was tested using spiked honey DNA (100 ng) with the diluted DNA of the two pests, with decreasing DNA concentration (20, 10, 5, 1, 0.1, 0.01, 0.001 and 0.0001 ng), without changing PCR conditions. Obtained amplicons were electrophoresed on 2.5% agarose gels in TBE 1X buffer and then visualized with 1X GelRed Nucleic Acid Gel Stain (Biotium Inc., Hayward, CA, USA). To confirm the results of positive honey samples, PCR was carried out at least twice for each primer pair/honey combination.

2.4. Sanger Sequencing

Amplicons obtained using each primer pair from the respective control DNA and the positively amplified honey samples were sequenced using Sanger sequencing, following the procedure already reported [23,24]. Obtained electropherograms were visually inspected and analysed using BioEdit Sequence Alignment Editor v7.0.5 [70] and MEGA11 [71] software. BLASTN [72] was used to confirm the assignment of the obtained sequences to the expected species and corresponding DNA region.

3. Results

The DNA extracted from all of the honey samples was successfully amplified with primers designed on A. mellifera mtDNA, indicating that the obtained DNA was suitable for PCR amplification and did not contain Taq DNA polymerase inhibitors.
The novel PCR primers designed to amplify A. tumida mtDNA were highly specific, as expected from their in silico selection that matched only a COI region of the SHB mitochondrial genome. No amplification was obtained from the honey bee DNA or from the DNA extracted from honey samples that were previously characterized by shot-gun sequencing and that bioinformatic analyses assigned many reads to A. tumida genome [11]. As mentioned in that study [11], this identification from these samples was a false positive result derived by the presence in the honey of the DNA of other coleopters whose sequenced reads identified as closest matches regions of the SHB genome, even if they were not from A. tumida. The same results were obtained using the second primer pair tested and designed by Li et al. [51] on the COI gene region of A. tumida. Amplifications of the diluted crude DNA from a single SHB specimen mixed with honey DNA was used to test the sensitivity of these two primer pairs. The primer pair that we designed (Atu-mida_cox1_190) yielded positive amplifications for all dilutions (Figure 1a), including when the SHB DNA was added to the reaction mixture at the concentration of 0.0001 ng/µL, that could be considered the limit of detection (LOD). The lowest dilution, however, produced a faint band of the expected amplicon. The second primer pair that we tested (Atum-3; designed by Li et al. [51]) yielded positive amplifications at the 0.1 ng/µL dilution of the SHB DNA (Figure 1b), which could be considered its LOD. With the other dilutions (from 0.01 to 0.0001 ng/µL), this primer pair could not amplify the targeted mtDNA region, as evidenced on agarose gel electrophoresis (Figure 1b).
PCR of the DNA extracted from all commercial honey samples reported a positive amplification for both pairs for just one honey produced in Calabria in an apiary that experienced infestation of A. tumida. Sequencing of the obtained amplicons confirmed the expected origin from SHB. All other honey samples produced in Italy did not have any positive amplification (Table S1).
The two primer pairs that targeted the COI gene of G. mellonella mitochondrial genome produced the expected fragments of 182 and 169 bp, respectively. Amplicons were obtained for all dilutions of the targeted DNA of the greater wax moth, even at the lowest concentration where, however, a faint band was obtained for both products (Figure 2). In addition, for these primer pairs, the LOD could be considered the lowest concentration of G. mellonella DNA that we tested (i.e., 0.0001 ng). The DNA extracted from all three honey samples derived from honeycombs gave positive amplification with both primer pairs, confirming the results derived from shot-gun sequencing that identified reads that were derived from this moth [11]. Sequencing confirmed that the obtained amplicons derived from the targeted G. mellonella mtDNA regions. Amplified fragments were obtained, with 100% matching results with both primer pairs, in many commercial honey samples investigated in this study: about 66% of these samples gave an amplified fragment with both specific primer pairs designed for this moth (Table S1). This result indicated that most honey samples derived from colonies where G. mellonella was present, suggesting that this pest is distributed on a widespread basis in Italy.

4. Discussion

Honey is an important source of eDNA which provides a fingerprint of the production systems and hive environments where this product comes from [10,11]. Honey eDNA can contain information on the pathogens, parasites and pests that circulate in the apiary and infect or infest the colonies [18,19,20,21,22,23,24]. In this study, we demonstrated that honey is also a useful source of DNA traces left by two important pests, A. tumida and G. mellonella, which are matters of growing concern for the apiculture sector of many regions and countries [35,36,37,48,56,60].
Honey DNA is usually highly degraded and for that reason it is possible to successfully amplify only short fragments. Therefore, we designed and tested primer pairs that targeted fragments of <200 bp, which, in our experience, can be considered a good compromise between the possibility of obtaining informative DNA sequences and assuring a successful amplification of the DNA that is possible to extract from this matrix [16,22,24]. Other primer pairs could be designed and then tested for the same purpose, targeting the two insect species that we investigated in this study or other pathogens, parasites and pests for which it would be useful to obtain information from the honey eDNA. This study further expanded the possibility to retrieve eDNA information from honey which would be useful to monitor the health status of the honey bee colonies, complementing our previous works that set up assays for other honey bee pathogens and parasites [22,23,24].
The results from the assays that we set up for these two pests can be interpreted only as qualitative (i.e., presence or absence of the amplification, and thus of the pests) even if we obtained information on the LOD. In three out of four tests, amplification was possible with a very low amount of the target pest DNA (i.e., 0.0001 ng). This indicates that the assays are quite sensitive and useful to detect incipient infestations that potentially would not be detected with other direct monitoring approaches. We are working to further improve these detection methods, also increasing their sensitivity, using qPCR and digital PCR approaches. Anyway, it would be quite challenging to relate quantitative measures obtained from the amplification reactions to the degree of infestations or presence of these two pests in the colonies/apiaries from which the honey comes from. Counting methods of the individuals of these two pests and evaluations to estimate the level/amount of traces or contaminations from them both could be eventually used to correlate the quantitative DNA measures with other parameters and then to validate quantitative measurements.
A few other studies already proposed DNA-based methods to detect A. tumida [49,50,51,52,53,54,55,73]. Some of them were developed to identify the presence of A. tumida in an apiary without direct evidence as they used hive debris, frass, swabs or even honey bees as sources of SHB DNA [49,53,54,55,73]. None of them, however, were tested to use honey as a source of A. tumida DNA traces. In our study, we designed PCR primers to maximize specificity to A. tumida considering a large database of reference sequences. Only one honey sample (produced in Calabria) out of the 79 analyzed samples contained SHB DNA, according to the positive amplification. This result, obtained from honey that derived from an apiary that had experienced A. tumida infestation, confirms the usefulness of the assay that we set up. It would be therefore useful to use this method to evaluate a much larger number of honey samples produced in Calabria to have a more detailed map of the areas in which this pest could be endemic, as the method has the potential to capture incipient infestations. Considering that sensitivity of this method is quite high, the use of honey DNA to monitor potential outbreaks or diffusions of the SHB could be proposed for routine surveillance in high-risk areas and to prevent the expansion of infestations. The method could be also useful to have an indirect evaluation of the actions taken to contain the infestation in areas where this pest is endemic. The cost of the assay is very low and can be implemented on a large scale and in many countries.
As far as we know, this is the first study that developed an assay to detect DNA traces left by the greater wax moth in any honey bee products. The obtained results indicated that G. mellonella can be considered a housekeeping pest in Italy, as was already well known. Its damaging impact, however, could potentially emerge where weak or stressed colonies are not able to control its infestation, with some possible waves of population growth derived by weather conditions [74]. It would be interesting to relate the presence of G. mellonella in honey produced in different seasons and eventually also monitor trends associated to climate changes. On the other hand, the identification of G. mellonella DNA in the honey could be an indicator of bad beekeeping practices, that did not properly sanitize and store combs [56] or that could cause the presence of many weak colonies in the apiaries, which, in turn, might not be able to control this pest.

5. Conclusions

In this study, using honey as source of DNA traces, we developed and tested non-invasive and sensitive assays to detect and monitor two honey bee damaging pests, A. tumida and G. mellonella. Veterinary inspection services can easily implement these methods on a large scale to increase biosecurity levels and prevent the spread of A. tumida outside the areas in which it is endemic or to evaluate the effectiveness of the actions applied to contain its dispersion. The presence of G. mellonella could be an indicator of the general health status and weakness of the colonies. It would be interesting to further exploit the application of the assays developed for the greater wax moth in this direction. This study further demonstrated the usefulness of honey as source of eDNA that contains important information that would be quite difficult to obtain in other ways and that is very relevant to protect the beekeeping sector.

Supplementary Materials

The following supporting information can be downloaded at: https://www.mdpi.com/article/10.3390/vetsci9050213/s1, Table S1: List of honey samples analyzed in this study.

Author Contributions

Conceptualization, L.F.; methodology, A.R., V.T., V.J.U. and L.F.; validation, A.R.; formal analysis, A.R., V.T. and V.J.U.; investigation, A.R., V.T. and V.J.U.; resources, L.F.; data curation, A.R.; writing—original draft preparation, L.F.; writing—review and editing, L.F., A.R., V.T. and V.J.U.; visualization, A.R.; supervision, L.F.; project administration, L.F.; funding acquisition, L.F. All authors have read and agreed to the published version of the manuscript.

Funding

This research was funded by University of Bologna 2020–2021 RFO program, by Regione Emilia-Romagna, BEE-RER-3 projects—CUP E37G22000030007—del Regolamento (UE) no. 1308/2013—(OCM Apicoltura).

Institutional Review Board Statement

Not applicable.

Informed Consent Statement

Not applicable.

Data Availability Statement

The data presented in this study are available in the article and Supplementary Materials.

Acknowledgments

The authors thank Giovanni Guido and UNAAPI for having provided samples and specimens and for collaboration in this study. The authors also thank Osservatorio Nazionale Miele, Lucia Piana and several beekeepers and beekeeper associations for having provided honey samples.

Conflicts of Interest

The authors declare no conflict of interest. The funders had no role in the design of the study; in the collection, analyses, or interpretation of data; in the writing of the manuscript, or in the decision to publish the results.

References

  1. Taberlet, P.; Coissac, E.; Hajibabaei, M.; Rieseberg, L.H. Environmental DNA. Mol. Ecol. 2012, 21, 1789–1793. [Google Scholar] [CrossRef] [PubMed]
  2. Bohmann, K.; Evans, A.; Gilbert, M.T.; Carvalho, G.R.; Creer, S.; Knapp, M.; Yu, D.W.; De Bruyn, M. Environmental DNA for wildlife biology and biodiversity monitoring. Trends Ecol. Evol. 2014, 29, 358–367. [Google Scholar] [CrossRef] [PubMed]
  3. Ruppert, K.M.; Kline, R.J.; Rahman, M.S. Past, present, and future perspectives of environmental DNA (eDNA) metabarcoding: A systematic review in methods, monitoring, and applications of global eDNA. Glob. Ecol. Conserv. 2019, 17, e00547. [Google Scholar] [CrossRef]
  4. Rees, H.C.; Maddison, B.C.; Middleditch, D.J.; Patmore, J.R.; Gough, K.C. The detection of aquatic animal species using environmental DNA—A review of eDNA as a survey tool in ecology. J. Appl. Ecol. 2014, 51, 1450–1459. [Google Scholar] [CrossRef]
  5. Jerde, C.L.; Mahon, A.R.; Chadderton, W.L.; Lodge, D.M. “Sight-unseen” detection of rare aquatic species using environmental DNA. Conserv. Lett. 2011, 4, 150–157. [Google Scholar] [CrossRef]
  6. Thomsen, P.F.; Kielgast, J.; Iversen, L.L.; Wiuf, C.; Rasmussen, M.; Gilbert, M.T.; Orlando, L.; Willerslev, E. Monitoring endangered freshwater biodiversity using environmental DNA. Mol. Ecol. 2012, 21, 2565–2573. [Google Scholar] [CrossRef]
  7. Wilcox, T.M.; McKelvey, K.S.; Young, M.K.; Jane, S.F.; Lowe, W.H.; Whiteley, A.R.; Schwartz, M.K. Robust detection of rare species using environmental DNA: The importance of primer specificity. PLoS ONE 2013, 8, e59520. [Google Scholar] [CrossRef] [Green Version]
  8. Sengupta, M.E.; Hellström, M.; Kariuki, H.C.; Olsen, A.; Thomsen, P.F.; Mejer, H.; Willerslev, E.; Mwanje, M.T.; Madsen, H.; Kristensen, T.K.; et al. Environmental DNA for improved detection and environmental surveillance of schistosomiasis. Proc. Natl. Acad. Sci. USA 2019, 116, 8931–8940. [Google Scholar] [CrossRef] [Green Version]
  9. Peters, L.; Spatharis, S.; Dario, M.A.; Dwyer, T.; Roca, I.J.T.; Kintner, A.; Kanstad-Hanssen, Ø.; Llewellyn, M.S.; Praebel, K. Environmental DNA: A new low-cost monitoring tool for pathogens in salmonid aquaculture. Front. Microbiol. 2018, 9, 3009. [Google Scholar] [CrossRef] [Green Version]
  10. Bovo, S.; Ribani, A.; Utzeri, V.J.; Schiavo, G.; Bertolini, F.; Fontanesi, L. Shotgun metagenomics of honey DNA: Evaluation of a methodological approach to describe a multi-kingdom honey bee derived environmental DNA signature. PLoS ONE 2018, 13, e0205575. [Google Scholar] [CrossRef]
  11. Bovo, S.; Utzeri, V.J.; Ribani, A.; Cabbri, R.; Fontanesi, L. Shotgun sequencing of honey DNA can describe honey bee derived environmental signatures and the honey bee hologenome complexity. Sci. Rep. 2020, 10, 9279. [Google Scholar] [CrossRef]
  12. Utzeri, V.J.; Ribani, A.; Schiavo, G.; Bertolini, F.; Bovo, S.; Fontanesi, L. Application of next generation semiconductor based sequencing to detect the botanical composition of monofloral, polyfloral and honeydew honey. Food Control 2018, 86, 342–349. [Google Scholar] [CrossRef]
  13. Prosser, S.W.; Hebert, P.D. Rapid identification of the botanical and entomological sources of honey using DNA metabarcoding. Food Chem. 2017, 214, 183–191. [Google Scholar] [CrossRef]
  14. Kek, S.P.; Chin, N.L.; Tan, S.W.; Yusof, Y.A.; Chua, L.S. Molecular identification of honey entomological origin based on bee mitochondrial 16S rRNA and COI gene sequences. Food Control 2017, 78, 150–159. [Google Scholar] [CrossRef]
  15. Utzeri, V.J.; Schiavo, G.; Ribani, A.; Tinarelli, S.; Bertolini, F.; Bovo, S.; Fontanesi, L. Entomological signatures in honey: An environmental DNA metabarcoding approach can disclose information on plant-sucking insects in agricultural and forest landscapes. Sci. Rep. 2018, 8, 9996. [Google Scholar] [CrossRef] [Green Version]
  16. Utzeri, V.J.; Ribani, A.; Fontanesi, L. Authentication of honey based on a DNA method to differentiate Apis mellifera subspecies: Application to Sicilian honey bee (A. m. siciliana) and Iberian honey bee (A. m. iberiensis) honeys. Food Control 2018, 91, 294–301. [Google Scholar] [CrossRef]
  17. Utzeri, V.J.; Ribani, A.; Taurisano, V.; Banqué, C.H.i.; Fontanesi, L. Distribution of the main Apis mellifera mitochondrial DNA lineages in Italy assessed using an environmental DNA approach. Insects 2021, 12, 620. [Google Scholar] [CrossRef]
  18. Bakonyi, T.; Derakhshifar, I.; Grabensteiner, E.; Nowotny, N. Development and evaluation of PCR assays for the detection of Paenibacillus larvae in honey samples: Comparison with isolation and biochemical characterization. Appl. Environ. Microbiol. 2003, 69, 1504–1510. [Google Scholar] [CrossRef] [Green Version]
  19. Lauro, F.M.; Favaretto, M.; Covolo, L.; Rassu, M.; Bertoloni, G. Rapid detection of Paenibacillus larvae from honey and hive samples with a novel nested PCR protocol. Int. J. Food Microbiol. 2003, 81, 195–201. [Google Scholar] [CrossRef]
  20. McKee, B.; Djordjevic, S.; Goodman, R.; Hornitzky, M. The detection of Melissococcus pluton in honey bees (Apis mellifera) and their products using a hemi-nested PCR. Apidologie 2003, 34, 19–27. [Google Scholar] [CrossRef] [Green Version]
  21. D’Alessandro, B.; Antúnez, K.; Piccini, C.; Zunino, P. DNA extraction and PCR detection of Paenibacillus larvae spores from naturally contaminated honey and bees using spore-decoating and freeze-thawing techniques. World J. Microbiol. Biotechnol. 2007, 23, 593–597. [Google Scholar] [CrossRef]
  22. Utzeri, V.J.; Schiavo, G.; Ribani, A.; Bertolini, F.; Bovo, S.; Fontanesi, L. A next generation sequencing approach for targeted Varroa destructor (Acari: Varroidae) mitochondrial DNA analysis based on honey derived environmental DNA. J. Invertebr. Pathol. 2019, 161, 47–53. [Google Scholar] [CrossRef] [PubMed]
  23. Ribani, A.; Utzeri, V.J.; Taurisano, V.; Fontanesi, L. Honey as a source of environmental DNA for the detection and monitoring of honey bee pathogens and parasites. Vet. Sci. 2020, 7, 113. [Google Scholar] [CrossRef] [PubMed]
  24. Ribani, A.; Utzeri, V.J.; Taurisano, V.; Galuppi, R.; Fontanesi, L. Analysis of honey environmental DNA indicates that the honey bee (Apis mellifera L.) trypanosome parasite Lotmaria passim is widespread in the apiaries of the North of Italy. J. Invertebr. Pathol. 2021, 184, 107628. [Google Scholar] [CrossRef]
  25. Murray, A. List of Coleoptera received from Old Calabar. Ann. Mag. Nat. Hist. Lond. 1867, 19, 167–179. [Google Scholar] [CrossRef]
  26. Lundie, A.E. The Small Hive Beetle, Aethina tumida. Sci. Bull. 1940, 220, 40. [Google Scholar]
  27. Hood, W.M. The small hive beetle, Aethina tumida: A review. Bee World 2004, 85, 51–59. [Google Scholar] [CrossRef]
  28. Hepburn, H.R.; Radloff, S.E. Honeybees of Africa; Springer: Berlin/Heidelberg, Germany, 1998. [Google Scholar]
  29. Hepburn, H.R.; Reece, S.; Neumann, P.; Moritz, R.F.A.; Radloff, S.E. Absconding in honeybees (Apis mellifera) in relation to queen status and mode of reproduction. Insectes Soc. 1999, 46, 323–326. [Google Scholar] [CrossRef]
  30. Neumann, P.; Ellis, J.D. The small hive beetle (Aethina tumida Murray, Coleoptera: Nitidulidae): Distribution, biology and control of an invasive species. J. Apic. Res. 2008, 47, 181–183. [Google Scholar] [CrossRef]
  31. Ellis, J.D.; Hepburn, H.R. An ecological digest of the small hive beetle (Aethina tumida) a symbiont in honey bee colonies (Apis mellifera). Insectes Soc. 2006, 53, 8–19. [Google Scholar] [CrossRef]
  32. Hood, W.M. Overview of the small hive beetle Aethina tumida in North America. Bee World 2000, 81, 129–137. [Google Scholar] [CrossRef]
  33. Gillespie, P.; Staples, J.; King, C.; Flectcher, M.; Dominiak, B.C. Small hive beetle, Aethina tumida (Murray) (Coleoptera: Nitidulidae) in New South Wales. Gen. App. Entomol. 2003, 32, 5–7. [Google Scholar] [CrossRef]
  34. Spiewok, S.; Pettis, J.; Duncan, M.; Spooner-Hart, R.; Westervelt, D.; Neumann, P. Small hive beetle, Aethina tumida, populations I: Infestation levels of honey bee colonies, apiaries and regions. Apidologie 2007, 38, 595–605. [Google Scholar] [CrossRef] [Green Version]
  35. Neumann, P.; Pettis, J.S.; Schäfer, M.O. Quo vadis Aethina tumida? Biology and control of small hive beetles. Apidologie 2016, 47, 427–466. [Google Scholar] [CrossRef] [Green Version]
  36. Lounsberry, Z.; Spiewok, S.; Pernal, S.F.; Sonstegard, T.S.; Hood, W.M.; Pettis, J.; Neumann, P.; Evans, J.D. Worldwide diaspora of Aethina tumida (Coleoptera: Nitidulidae), a nest parasite of honey bees. Ann. Entomol. Soc. Am. 2010, 103, 671–677. [Google Scholar] [CrossRef] [Green Version]
  37. Schäfer, M.O.; Cardaio, I.; Cilia, G.; Cornelissen, B.; Crailsheim, K.; Formato, G.; Lawrence, A.K.; Le Conte, Y.; Mutinelli, F.; Nanetti, A.; et al. How to slow the global spread of small hive beetles, Aethina tumida. Biol. Invasions 2019, 21, 1451–1459. [Google Scholar] [CrossRef]
  38. Murilhas, A.M. Aethina tumida arrives in Portugal. Will it be eradicated? Eur. Bee Newsl. 2004, 2, 7–9. [Google Scholar]
  39. Mutinelli, F.; Montarsi, F.; Federico, G.; Granato, A.; Maroni Ponti, A.; Grandinetti, G.; Ferrè, N.; Franco, S.; Duquesne, V.; Rivière, M.-P.; et al. Detection of Aethina tumida Murray (Coleoptera: Nitidulidae.) in Italy: Outbreaks and early reaction measures. J. Apic. Res. 2014, 53, 569–575. [Google Scholar] [CrossRef]
  40. Palmeri, V.; Scirtò, G.; Malacrinò, A.; Laudani, F.; Campolo, O. A scientific note on a new pest for European honeybees: First report of small hive beetle Aethina tumida, (Coleoptera: Nitidulidae) in Italy. Apidologie 2015, 46, 527–529. [Google Scholar] [CrossRef] [Green Version]
  41. Granato, A.; Zecchin, B.; Baratto, C.; Duquesne, V.; Negrisolo, E.; Chauzat, M.P.; Ribière-Chabert, M.; Cattoli, G.; Mutinelli, F. Introduction of Aethina tumida (Coleoptera: Nitidulidae) in the regions of Calabria and Sicily (southern Italy). Apidologie 2017, 48, 194–203. [Google Scholar] [CrossRef] [Green Version]
  42. Rivera-Gomis, J.; Gregorc, A.; Ponti, A.M.; Artese, F.; Zowitsky, G.; Formato, G. Monitoring of small hive beetle (Aethina tumida Murray) in Calabria (Italy) from 2014 to 2016: Practical identification methods. J. Apic. Sci. 2017, 61, 257–262. [Google Scholar] [CrossRef] [Green Version]
  43. Al Toufailia, H.; Alves, D.A.; Bena, D.D.C.; Bento, J.M.; Iwanicki, N.S.; Cline, A.R.; Ellis, J.D.; Ratnieks, F.L. First record of small hive beetle, Aethina tumida Murray, in South America. J. Apic. Res. 2017, 56, 76–80. [Google Scholar] [CrossRef]
  44. Lee, S.; Hong, K.J.; Cho, Y.S.; Choi, Y.S.; Yoo, M.S.; Lee, S. Review of the subgenus Aethina Erichson s. str. (Coleoptera: Nitidulidae: Nitidulinae) in Korea, reporting recent invasion of small hive beetle, Aethina tumida. J. Asia-Pac. Entomol. 2017, 20, 553–558. [Google Scholar] [CrossRef]
  45. Muli, E.; Kilonzo, J.; Sookar, P. Small hive beetle infestations in Apis mellifera unicolor colonies in Mauritius island, Mauritius. Bee World 2018, 95, 44–45. [Google Scholar] [CrossRef]
  46. Namin, S.M.; Koh, Y.; Osabutey, A.F.; Jung, C. Invasion pathway of the honeybee pest, small hive beetle, Aethina tumida (Coleoptera: Nitidulidae) in the Republic of Korea inferred by mitochondrial DNA sequence analysis. J. Asia-Pac. Entomol. 2019, 22, 963–968. [Google Scholar] [CrossRef]
  47. Cordeiro, E.M.G.; Soares, P.L.; Alves, D.A.; Corrêa, A.S. Updating the saga of the small hive beetle (Aethina tumida): Molecular inference of the origin of the South American invasion. Apidologie 2019, 50, 273–276. [Google Scholar] [CrossRef]
  48. Neumann, P.; Elzen, P.J. The biology of the small hive beetle (Aethina tumida, Coleoptera: Nitidulidae): Gaps in our knowledge of an invasive species. Apidologie 2004, 35, 229–247. [Google Scholar] [CrossRef] [Green Version]
  49. Ward, L.; Brown, M.; Neumann, P.; Wilkins, S.; Pettis, J.; Boonham, N. A DNA method for screening hive debris for the presence of small hive beetle (Aethina tumida). Apidologie 2007, 38, 272–280. [Google Scholar] [CrossRef] [Green Version]
  50. Kim, J.M.; Lim, S.J.; Tai, T.A.; Hong, K.J.; Yoon, B.S. Development of rapid detection system for small hive beetle (Aethina tumida) by using ultra-rapid PCR. Kor. J. Apic. 2017, 32, 119–131. [Google Scholar] [CrossRef]
  51. Li, D.; Waite, D.W.; Fan, Q.H.; George, S.; Semeraro, L.; Blacket, M.J. Molecular detection of small hive beetle Aethina tumida Murray (Coleoptera: Nitidulidae): DNA barcoding and development of a real-time PCR assay. Sci. Rep. 2018, 8, 9623. [Google Scholar] [CrossRef] [PubMed]
  52. Silacci, P.; Biolley, C.; Jud, C.; Charrière, J.D.; Dainat, B. An improved DNA method to unambiguously detect small hive beetle Aethina tumida, an invasive pest of honeybee colonies. Pest Manag. Sci. 2018, 74, 2667–2670. [Google Scholar] [CrossRef] [Green Version]
  53. Ouessou Idrissou, F.; Huang, Q.; Yañez, O.; Akinwande, K.L.; Neumann, P. PCR diagnosis of small hive beetles. Insects 2018, 9, 24. [Google Scholar] [CrossRef] [Green Version]
  54. Ponting, S.; Tomkies, V.; Stainton, K. Rapid identification of the invasive small hive beetle (Aethina tumida) using LAMP. Pest Manag. Sci. 2021, 77, 1476–1481. [Google Scholar] [CrossRef]
  55. Van Gent-Pelzer, M.; Cornelissen, B. Detection of small hive beetle: Frass as a source of DNA. J. Apic. Res. 2021, 60, 683–685. [Google Scholar] [CrossRef]
  56. Kwadha, C.A.; Ong’amo, G.O.; Ndegwa, P.N.; Raina, S.K.; Fombong, A.T. The biology and control of the greater wax moth, Galleria mellonella. Insects 2017, 8, 61. [Google Scholar] [CrossRef] [Green Version]
  57. Ellis, J.D.; Graham, J.R.; Mortensen, A. Standard methods for wax moth research. J. Apic. Res. 2013, 52, 1–17. [Google Scholar] [CrossRef] [Green Version]
  58. Williams, J.L. Insects: Lepidoptera (moths). In Honey Bee Pests, Predators, and Diseases; Morse, R., Flottum, K., Eds.; AI Root Company: Medina, OH, USA, 1997; pp. 121–141. [Google Scholar]
  59. Pirk, C.W.; Strauss, U.; Yusuf, A.A.; Démares, F.; Human, H. Honeybee health in Africa—A review. Apidologie 2015, 47, 276–300. [Google Scholar] [CrossRef] [Green Version]
  60. Chantawannakul, P.; de Guzman, L.I.; Li, J.; Williams, G.R. Parasites, pathogens, and pests of honeybees in Asia. Apidologie 2016, 47, 301–324. [Google Scholar] [CrossRef]
  61. Tsai, C.J.Y.; Loh, J.M.S.; Proft, T. Galleria mellonella infection models for the study of bacterial diseases and for antimicrobial drug testing. Virulence 2016, 7, 214–229. [Google Scholar] [CrossRef] [Green Version]
  62. Singkum, P.; Suwanmanee, S.; Pumeesat, P.; Luplertlop, N. A powerful in vivo alternative model in scientific research: Galleria mellonella. Acta Microb. Immunol. Hung. 2019, 66, 31–55. [Google Scholar] [CrossRef]
  63. Hernandez, R.J.; Hesse, E.; Dowling, A.J.; Coyle, N.M.; Feil, E.J.; Gaze, W.H.; Vos, M. Using the wax moth larva Galleria mellonella infection model to detect emerging bacterial pathogens. PeerJ 2019, 6, e6150. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  64. Decreto del Presidente della Repubblica 8 Febbraio 1954, n. 320 Regolamento di Polizia Veterinaria. (GU Serie Generale n.142 del 24-06-1954—Suppl. Ordinario). Available online: https://www.gazzettaufficiale.it/atto/serie_generale/caricaDettaglioAtto/originario?atto.dataPubblicazioneGazzetta=1954-06-24&atto.codiceRedazionale=054U0320&elenco30giorni=false (accessed on 30 June 2021).
  65. European Reference Laboratory for Bee Health (EURL). Analytical Method for Animal Health, ANSES/SOP/ANA-I1.MOA.1500, Version 04: “Morphological Identification of the Small Hive Beetle (OIE Method)”. Available online: https://sitesv2.anses.fr/en/system/files/Protocol_Instructions_SHB_morphological_Id_2.pdf (accessed on 30 June 2021).
  66. National Center for Biotechnology Information. Primer-BLAST. Available online: https://www.ncbi.nlm.nih.gov/tools/primer-blast/ (accessed on 15 March 2021).
  67. Ye, J.; Coulouris, G.; Zaretskaya, I.; Cutcutache, I.; Rozen, S.; Madden, T. Primer-BLAST: A tool to design target-specific primers for polymerase chain reaction. BMC Bioinform. 2012, 13, 134. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  68. Duquesne, V.; Delcont, A.; Huleux, A.; Beven, V.; Touzain, F.; Ribière-Chabert, M. Complete mitochondrial genome sequence of Aethina tumida (Coleoptera: Nitidulidae), a beekeeping pest. Genome Announc. 2017, 5, e01165-17. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  69. Park, Y.J.; Park, C.E.; Hong, S.J.; Jung, B.K.; Ibal, J.C.; Park, G.S.; Shin, J.H. The complete mitochondrial genome sequence of the greater wax moth Galleria mellonella (Insecta, Lepidoptera, Pyralidae): Sequence and phylogenetic analysis comparison based on whole mitogenome. Mitochondrial DNA B 2017, 2, 714–715. [Google Scholar] [CrossRef] [Green Version]
  70. Hall, T.A. BioEdit: A user-friendly biological sequence alignment editor and analysis program for Windows 95/98/NT. Nucl. Acids Symp. Ser. 1999, 41, 95–98. [Google Scholar] [CrossRef]
  71. Tamura, K.; Stecher, G.; Kumar, S. MEGA11: Molecular evolutionary genetics analysis version 11. Mol. Biol. Evol. 2021, 38, 3022–3027. [Google Scholar] [CrossRef]
  72. National Center for Biotechnology Information. Blast. Available online: http://www.ncbi.nlm.nih.gov/BLAST/ (accessed on 15 September 2021).
  73. Cersini, A.; Pietropaoli, M.; Pietrella, G.; Rivera-Gomis, J.; Federico, G.; Tofani, S.; Conti, R.; Rubino, R.C.; Di Ruggiero, C.; Formato, G. New matrixes to diagnose Aethina tumida presence at apiary level. J. Apic. Sci. 2021, 65, 345–348. [Google Scholar] [CrossRef]
  74. Sohail, M.; Aqueel, M.A.; Ellis, J.D.; Afzal, M.; Raza, A.M. Seasonal abundance of greater wax moths (Galleria mellonella L.) in hives of western honey bees (Apis mellifera L.) correlates with minimum and maximum ambient temperature. J. Apic. Res. 2017, 56, 416–420. [Google Scholar] [CrossRef]
Figure 1. Gel electrophoresis analysis of the amplified fragments of the A. tumida COI regions ((a) 190 bp obtained from Atumida_cox1_190 primer pair; (b) 97 bp obtained from Atum-3 primer pair) obtained at different concentrations of the targeted template DNA. L = DNA ladder. 1: 20 ng of A. tumida DNA were added to the reaction mixture; which included honey DNA; 2: 10 ng of A. tumida DNA added; 3: 5 ng of A. tumida DNA added; 4: 1 ng of A. tumida DNA added; 5: 0.1 ng of A. tumida DNA added; 6: 0.01 ng of A. tumida DNA added; 7: 0.001 ng of A. tumida DNA added; 8: 0.0001 ng of A. tumida DNA added; 9: amplification with only the honey DNA; 10: amplification without any DNA; C: control DNA amplification (20 ng of A. tumida DNA) without any DNA from honey.
Figure 1. Gel electrophoresis analysis of the amplified fragments of the A. tumida COI regions ((a) 190 bp obtained from Atumida_cox1_190 primer pair; (b) 97 bp obtained from Atum-3 primer pair) obtained at different concentrations of the targeted template DNA. L = DNA ladder. 1: 20 ng of A. tumida DNA were added to the reaction mixture; which included honey DNA; 2: 10 ng of A. tumida DNA added; 3: 5 ng of A. tumida DNA added; 4: 1 ng of A. tumida DNA added; 5: 0.1 ng of A. tumida DNA added; 6: 0.01 ng of A. tumida DNA added; 7: 0.001 ng of A. tumida DNA added; 8: 0.0001 ng of A. tumida DNA added; 9: amplification with only the honey DNA; 10: amplification without any DNA; C: control DNA amplification (20 ng of A. tumida DNA) without any DNA from honey.
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Figure 2. Gel electrophoresis analyses of the amplified fragments of the G. mellonella COI gene regions ((a) 182 bp obtained from GallMelCox1_182 primer pair; (b) 168 bp obtained from GallMelCox1_168 primer pair) obtained at different concentrations of the targeted template DNA. L = DNA ladder. 1: 20 ng of G. mellonella DNA were added to the reaction mixture; which included honey DNA; 2: 10 ng of G. mellonella DNA added; 3: 5 ng of G. mellonella DNA added; 4: 1 ng of G. mellonella DNA added; 5: 0.1 ng of G. mellonella DNA added; 6: 0.01 ng of G. mellonella DNA added; 7: 0.001 ng of G. mellonella DNA added; 8: 0.0001 ng of G. mellonella DNA added; 9: amplification with only the honey DNA; 10: amplification without any DNA; C: control DNA amplification (20 ng of G. mellonella DNA) without any DNA from honey.
Figure 2. Gel electrophoresis analyses of the amplified fragments of the G. mellonella COI gene regions ((a) 182 bp obtained from GallMelCox1_182 primer pair; (b) 168 bp obtained from GallMelCox1_168 primer pair) obtained at different concentrations of the targeted template DNA. L = DNA ladder. 1: 20 ng of G. mellonella DNA were added to the reaction mixture; which included honey DNA; 2: 10 ng of G. mellonella DNA added; 3: 5 ng of G. mellonella DNA added; 4: 1 ng of G. mellonella DNA added; 5: 0.1 ng of G. mellonella DNA added; 6: 0.01 ng of G. mellonella DNA added; 7: 0.001 ng of G. mellonella DNA added; 8: 0.0001 ng of G. mellonella DNA added; 9: amplification with only the honey DNA; 10: amplification without any DNA; C: control DNA amplification (20 ng of G. mellonella DNA) without any DNA from honey.
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Ribani, A.; Taurisano, V.; Utzeri, V.J.; Fontanesi, L. Honey Environmental DNA Can Be Used to Detect and Monitor Honey Bee Pests: Development of Methods Useful to Identify Aethina tumida and Galleria mellonella Infestations. Vet. Sci. 2022, 9, 213. https://doi.org/10.3390/vetsci9050213

AMA Style

Ribani A, Taurisano V, Utzeri VJ, Fontanesi L. Honey Environmental DNA Can Be Used to Detect and Monitor Honey Bee Pests: Development of Methods Useful to Identify Aethina tumida and Galleria mellonella Infestations. Veterinary Sciences. 2022; 9(5):213. https://doi.org/10.3390/vetsci9050213

Chicago/Turabian Style

Ribani, Anisa, Valeria Taurisano, Valerio Joe Utzeri, and Luca Fontanesi. 2022. "Honey Environmental DNA Can Be Used to Detect and Monitor Honey Bee Pests: Development of Methods Useful to Identify Aethina tumida and Galleria mellonella Infestations" Veterinary Sciences 9, no. 5: 213. https://doi.org/10.3390/vetsci9050213

APA Style

Ribani, A., Taurisano, V., Utzeri, V. J., & Fontanesi, L. (2022). Honey Environmental DNA Can Be Used to Detect and Monitor Honey Bee Pests: Development of Methods Useful to Identify Aethina tumida and Galleria mellonella Infestations. Veterinary Sciences, 9(5), 213. https://doi.org/10.3390/vetsci9050213

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