Literature DB >> 31271530

Shared and unique microbes between Small hive beetles (Aethina tumida) and their honey bee hosts.

Qiang Huang1, Dawn Lopez2, Jay D Evans2.   

Abstract

The small hive beetle (SHB) is an opportunistic parasite that feeds on bee larvae, honey, and pollen. While SHBs can also feed on fruit and other plant products, like its plant-feeding relatives, SHBs prefer to feed on hive resources and only reproduce inside bee colonies. As parasites, SHBs are inevitably exposed to bee-associated microbes, either directly from the bees or from the hive environment. These microbes have unknown impacts on beetles, nor is it known how extensively beetles transfer microbes among their bee hosts. To identify sets of beetle microbes and the transmission of microbes from bees to beetles, a metagenomic analysis was performed. We identified sets of herbivore-associated bacteria, as well as typical bee symbiotic bacteria for pollen digestion, in SHB larvae and adults. Deformed wing virus was highly abundant in beetles, which colonize SHBs as suggested by a controlled feeding trial. Our data suggest SHBs are vectors for pathogen transmission among bees and between colonies. The dispersal of host pathogens by social parasites via floral resources and the hive environment increases the threats of these parasites to honey bees.
© 2019 The Authors. MicrobiologyOpen published by John Wiley & Sons Ltd.

Entities:  

Keywords:  honey bee; metagenome; microbe; small hive beetle; virus

Mesh:

Year:  2019        PMID: 31271530      PMCID: PMC6813432          DOI: 10.1002/mbo3.899

Source DB:  PubMed          Journal:  Microbiologyopen        ISSN: 2045-8827            Impact factor:   3.139


INTRODUCTION

The small hive beetle (Aethina tumida Murray, 1867, hereafter SHB) is a honey bee nest parasite belonging to the family Nitidulidae (sap beetles; c. 4,500 species), whose members feed mainly on decaying vegetable matter, over‐ripe fruit, or sap (Mckenna et al., 2015). Unlike other plant‐feeding beetles, SHBs can survive on fruit but thrive on resources found in honey bee colonies (Cuthbertson et al., 2013; Neumann & Elzen, 2004). SHB larvae are the most damaging stage for bee hives, by tunneling through combs and causing honey to ferment (Hood, 2004). These infestations can be destructive to wax combs, stored honey, and pollen. So far, the yeast Kodamaea ohmeri is known to be associated with SHBs, causing damage to the colony by fermenting stored nectar and serving as a biomarker to attract other SHBs (Benda, Boucias, Torto, & Teal, 2008). Additional symbiotic microbes associated with SHBs have not yet been described. In contrast, several symbiotic bacteria have been reported from the Asian longhorned beetle, including those that facilitate plant cell wall digestion (Scully et al., 2013), leading to insights into how these microbes impact digestion and beetle health. Honey bee gut bacteria are dominated by nine species/clusters, some of which are likely to be involved in honey and pollen digestion, along with many low‐frequency opportunistic microbes (Kwong & Moran, 2016; Powell, Martinson, Urban‐Mead, & Moran, 2014; Raymann & Moran, 2018). As SHBs rely on food sources stored by their honey bee hosts, we predicted that SHBs might acquire honey bee‐associated microbes, which could aid in food digestion. In addition, SHBs maintain their own sets of bacteria that could aid in digestion, improving development inside the colony and when they exit as late‐stage larvae to finish development. In this study, we conducted metagenomic sequence de novo assembly to identify microbes found in larval and adult life stages of SHBs. We then confirmed those microbes using a deep RNA‐seq data set. We further conducted controlled feeding trials to determine whether candidate microbes can colonize SHBs. We have identified microbes that might facilitate the defense and development of the SHBs. We also found bee‐associated bacteria and viruses residing in SHBs. These results shed light on beetle microbe communities and help identify risks to both bees and beetles from a communal existence, as well as complex pathogen transmission routes in this ecosystem.

EXPERIMENTAL PROCEDURE

Beetle collection and DNA extraction

SHBs were collected from the states of Louisiana and Maryland, USA. DNA was extracted from three adult beetles for Illumina HiSeq paired‐end sequencing in 2011. Additionally, DNA was extracted from 150 SHB larvae for PacBio sequencing in 2014. These two data sets are not related, and the sequencing was conducted at the University of Maryland. These non‐sterile adult and larval small hive beetles were scrutinized to identify microbes shared with bees, microbes unique to SHB, and microbes picked up from the hive or external (soil) environment. These two sets of DNA sequencing reads were previously used to assemble the SHB genome (https://www.ncbi.nlm.nih.gov/assembly/GCF_001937115.1/). For detailed DNA extraction and sequencing protocol, see Evans et al. (2018. Due to extremely deep sequence coverage (over 500X SHB genome coverage), we were able to accurately explore the microbial community associated with SHBs. Pooled, equimolar RNA sequencing reads of eggs, larvae, and adult beetles were previously used to construct the SHB transcriptome (over 500x SHB transcriptome coverage, as described in Tarver et al., 2016). This RNA resource was used to assess the transcriptional activity of these microbes in SHB. Both DNA and RNA sequences were previously deposited at NCBI‐Bioproject PRJNA256171.

Metagenomic analysis of beetle‐associated microbes

Ilumina reads were quality checked with Fastqc (http://www.bioinformatics.babraham.ac.uk/projects/fastqc/), and PacBio reads were error corrected with Illumina reads using proovread (Hackl, Hedrich, Schultz, & Forster, 2014). DNA and RNA reads were first aligned to the SHB genome using BWA (version 0.7.13) and Tophat2 (version 2.0.13), respectively (Kim et al., 2013; Li & Durbin, 2009). Reads aligned to the SHB genome were removed. After this filtering, 96 million Illumina DNA reads, 137 million Illumina RNA reads, and 247,186 PacBio reads (~870 million nucleotides) were maintained for microbial identification. Initially, the unmapped reads were used to screen microbial species with fully sequenced genome assemblies using Kraken with standard databases, which is designed to align short sequencing reads to sequenced microbe genomes (Wood & Salzberg, 2014) (Supporting Information S1). Kraken output files were viewed using Krona (Wood & Salzberg, 2014) (Appendix Figure A1, Figure A2 and Figure A3). In order to reduce numerous false‐positive assignments of K‐mers (subset of a read) from Kraken, a de novo metagenomic assembly was produced using unmapped Illumina DNA reads by metaSPAdes assembler (version 3.10.1) with default setting (Nurk, Meleshko, Korobeynikov, & Pevzner, 2017). The assembled contigs and unmapped PacBio long reads were used to query the Embl, Unigene, Est, Gss, Htc, Pat, RefSeq, Htg, and Tst databases using BLASTN. Best hits were tallied for searches with alignment significance of p < 0.001. Only microbes confirmed by both Kraken and the assembled contigs were kept. In order to identify bee‐associated microbes found in SHBs, the unmapped DNA and RNA reads were aligned to the HoloBee database, a curated resource for microbes associated with honey bees (https://data.nal.usda.gov/dataset/holobee-database-v20161), using BWA (version 0.7.13) and Tophat2 (version 2.0.13), respectively. Again, candidate matches were aligned against both assembled contigs and unmapped PacBio reads to reduce false‐positive assignments (Figure 1). HoloBee‐Barcode uses a variety of markers as appropriate for each taxonomic group (Supporting Information S2). Complete 16S ribosomal RNA was used for bacteria. Barcode markers for fungi are less definitive, and ribosomal RNA internal transcribed spacer region (ITS), including ITS‐1, 5.8S, and ITS‐2, was used via Holobee database. The majority of barcodes for metazoan taxa are based on the mitochondrial locus Cytochrome C oxidase subunit I. Read counts were normalized with trimmed means of M‐values (TMM) using edgeR (Robinson, McCarthy, & Smyth, 2010). Over all, there are two steps to reduce false‐positive assignment of the identified microbes. First, the microbes identified from the Kraken database and Holobee database must be supported by both DNA and RNA reads. Second, the identified microbes must show significant hit when blasting the assembled de novo contigs to Embl, Unigene, Est, Gss, Htc, Pat, Refseq, Htg, and Tst databases (p < 0.001; Supporting Information S4).
Figure A1

Taxonomic distributions of classified microbes associated with small hive beetle eggs, larvae, and adults. The total RNA was extracted from eggs, larvae, and adults, respectively, and then pooled for Illumina paired‐end RNA sequencing. Numbers refer to the proportion of classified sequencing reads

Figure A2

Taxonomic distributions of classified microbes associated with small hive beetle adults. Numbers refer to the proportion of classified sequencing reads

Figure A3

Taxonomic distributions of classified microbes associated with small hive beetle larvae. Numbers refer to the proportion of classified sequencing reads

Figure 1

Using three independently sequenced SHB samples to identify the associated microbes, adult and larval beetle DNA reads were first aligned to all sequenced microbes genomes using Kraken and validated with RNA sequencing reads. Then, the adult and larvae DNA reads were aligned to HoloBee database and again validated with RNA sequencing reads. The adult DNA reads were de novo assembled, and the contigs were aligned to Embl, Unigene, Est, Gss, Htc, Pat, Refseq, Htg, and Tst databases to further validate the species/gene origin of the contigs

Using three independently sequenced SHB samples to identify the associated microbes, adult and larval beetle DNA reads were first aligned to all sequenced microbes genomes using Kraken and validated with RNA sequencing reads. Then, the adult and larvae DNA reads were aligned to HoloBee database and again validated with RNA sequencing reads. The adult DNA reads were de novo assembled, and the contigs were aligned to Embl, Unigene, Est, Gss, Htc, Pat, Refseq, Htg, and Tst databases to further validate the species/gene origin of the contigs

Verification of the identified microbes with qPCR

To further validate the accurate assignment of microbes from sequencing, a set of microbes (Choristoneura occidentalis granulovirus, Kodamaea ohmeri, Deformed wing virus, Gilliamella apicola, and Snodgrassella alvi) was selected for qPCR validation. To accomplish this, 12 adult beetles were freshly collected from apiaries near Baltimore, Maryland, in June 2018. DNA was extracted from individual beetles, and each of 3 beetles from an apiary was pooled for qPCR analysis. For detailed protocol and results, see Appendix and Supporting Information S4.

Colonization of honey bee‐associated microbes in SHBs

We further studied whether the selected set of microbes (Choristoneura occidentalis granulovirus, Kodamaea ohmeri, Deformed wing virus, Gilliamella apicola, and Snodgrassella alvi) can colonize small hive beetles. Accordingly, an additional 10 adult beetles were collected from the honey bee hives in Beltsville, Maryland, in September 2018. Those 10 beetles were feed with sugar water for 7 days, without introduction of any bee hive products. We hypothesize that if the microbes remained in place under this controlled diet, they can could truly colonize SHBs, instead of being merely transients collected from bee hive products. After 7 days feeding, each SHB was dissected into head thorax and abdomen sections. Then, the same body sections from five SHBs were pooled for RNA/DNA extraction, to determine specific tissue colonization of microbes. Detailed DNA extraction, RNA extraction, and qPCR protocols, along with the primers and results, are described in Supporting Information S3 and S4.

RESULTS

Identification of microbes from the small hive beetle

In total, 66 and 23 different microbe species were found from SHB larvae (2 archaea, 55 bacteria, and 9 viruses) and adults (22 bacteria and 1 viruses), respectively (Appendix Table A1). Of those, 14 bacteria were shared between SHB larvae and adults, including 9 putatively beneficial bacteria (Table 1). The bacteria Gluconobacter oxydans, Candidatus Pantoea carbekii, secondary endosymbiont of Heteropsylla cubana, and Lactococcus lactis were found in SHB larvae, as well as a toxin‐secreting bacterium “Candidatus Profftella armatura”.
Table A1

Identified microbes from SHB larvae and adults, normalized reads (counts per million reads) and putative function

KingdomMicrobesLarvaeAdultsPutative function
Archaea Methanobacterium lacus 194#N/A 
Archaea Methanobrevibacter sp. AbM43,101#N/ADigestion
Bacteria Acinetobacter baumannii 388#N/APathogen
Bacteria Arcobacter sp. L581#N/A 
Bacteria Bacillus anthracis 388#N/APathogen
Bacteria Bacillus cereus 2,907#N/APathogen
Bacteria Bdellovibrio bacteriovorus 194#N/AParasite of other bacteria
Bacteria Blattabacterium sp. (Blaberus giganteus)388#N/A 
Bacteria Brachyspira pilosicoli 4,845#N/APathogen
Bacteria Buchnera aphidicola 24,806#N/A 
Bacteria Burkholderia pseudomallei #N/A9 
Bacteria Burkholderia sp. RPE64388#N/A 
Bacteria Campylobacter fetus 775#N/APathogen
Bacteria Candidatus Babela massiliensis 388#N/APathogen
Bacteria Candidatus Pantoea carbekii 775#N/AMutualists of plant‐feeding insects
Bacteria Candidatus pelagibacter sp. IMCC9063969#N/A 
Bacteria Candidatus Phytoplasma mali 3,295#N/APathogen, plant
Bacteria Candidatus Portiera aleyrodidarum 1949Primary endosymbiont of whiteflies
Bacteria Candidatus Profftella armatura 2,713#N/ADefensive toxin
Bacteria Clostridioides difficile 581#N/APathogen
Bacteria Coxiella burnetii 194#N/APathogen
Bacteria Cutibacterium acnes #N/A22,901Pathogen
Bacteria Cyanothece sp. ATCC 51142194#N/A 
Bacteria Cyanothece sp. PCC 7822581#N/A 
Bacteria Dokdonia sp. 4H‐3‐7‐5194#N/A 
Bacteria Enterobacter cloacae 58114,713Pathogen
Bacteria Enterococcus faecalis 1,7443,334Pathogen
Bacteria Escherichia coli 15,8914,222 
Bacteria Flavobacteriaceae bacterium 3519‐10#N/A84Unclear
Bacteria Fusobacterium nucleatum 1,550210Pathogen
Bacteria Gluconobacter oxydans 581#N/ASynthesis of Vitamin C, D‐gluconic acid and ketogluconic acids
Bacteria Haemophilus influenzae 7,752157Pathogen
Bacteria Helicobacter pylori 3,682#N/APathogen
Bacteria Herminiimonas arsenicoxydans #N/A67Neurtal
Bacteria Histophilus somni 3,10184Pathogen
Bacteria Klebsiella pneumoniae 1,9381,351Pathogen
Bacteria Lacinutrix sp. 5H‐3‐7‐4388#N/A 
Bacteria Lactococcus lactis 388#N/ALactose digestion, hinder pathogenic bacteria
Bacteria Melissococcus plutonius 194#N/AEuropean foulbrood
Bacteria Methylobacterium sp. 4‐46388#N/A 
BacteriaMycoplasma conjunctivae1,550#N/APathogen
BacteriaMycoplasma hyopneumoniae101,938#N/APathogen
Bacteria Mycoplasma hyorhinis 10,271#N/APathogen
Bacteria Mycoplasma leachii 2,713#N/APathogen
Bacteria Mycoplasma mycoides 2,132#N/APathogen
Bacteria Neisseria meningitidis 969#N/APathogen
Bacteria Paenibacillus mucilaginosus 2,132#N/ADegrade insoluble soil minerals with the release of nutritional ions and fix nitrogen
Bacteria Pasteurella multocida 38899Pathogen
Bacteria Photorhabdus asymbiotica 33,52720Pathogen
Bacteria Porphyromonas gingivalis #N/A87Pathogen
Bacteria Prochlorococcus marinus 2,132#N/AOxygen
Bacteria Proteus mirabilis 388#N/APathogen
Bacteria Pseudanabaena sp. PCC 736712,984#N/A 
Bacteria Pseudomonas aeruginosa 2,326257,695Disease
Bacteria Pseudomonas putida #N/A673Breaking down aromatic or aliphatic hydrocarbons
Bacteria Pseudomonas stutzeri #N/A480Pathogen
Bacteria Riemerella anatipestifer #N/A233Pathogen
Bacteria Rivularia sp. PCC 7116581#N/A 
BacteriaSecondary endosymbiont of Heteropsylla cubana388#N/AInsect symbiont
Bacteria Serratia marcescens 13,9533Pathogen
Bacteria Shigella flexneri 2,907594 
Bacteria Shigella flexneri 2,907594 
Bacteria Sorangium cellulosum 1,163#N/ASoil bacteria
Bacteria Streptococcus agalactiae 194#N/APathogen
Bacteria Streptococcus anginosus 581#N/APathogen
Bacteria Streptococcus pneumoniae 38882Pathogen
VirusAnomala cuprea entomopoxvirus581#N/A 
VirusApocheima cinerarium nucleopolyhedrovirus775#N/A 
VirusGryllus bimaculatus nudivirus581#N/A 
VirusHuman alphaherpesvirus 3194#N/A 
VirusInvertebrate iridescent virus 6194#N/A 
VirusLymphocystis disease virus—isolate China194#N/A 
Virus Megavirus chiliensis 388#N/A 
VirusOrgyia leucostigma NPV775#N/A 
VirusSuid alphaherpesvirus 1194#N/A 
VirusEnterobacteria phage phiX174 sensu lato#N/A555,038 
Table 1

Symbiotic bacteria found in SHB larvae and adults and their putative functions

MicrobesLarvaeAdultsPutative functions
Methanobrevibacter sp. AbM4 DNDDigestion
Candidatus Profftella armatura DNDDefensive toxin
Candidatus Pantoea carbekii DNDMutualists of plant‐feeding insects
Gluconobacter oxydans DNDSynthesis of Vitamin C, D‐gluconic acid and ketogluconic acids
secondary endosymbiont of Heteropsylla cubana DNDInsect symbiont
Lactococcus lactis DNDLactose digestion
Candidatus Portiera aleyrodidarum DDPrimary endosymbiont of whiteflies
Paenibacillus mucilaginosus DNDDegrading insoluble soil minerals with the release of nutritional ions and nitrogen fixation
Pseudomonas putida DDBreaking down aromatic or aliphatic hydrocarbons

ND indicates the microbe was not found and D indicates the microbe was found.

Symbiotic bacteria found in SHB larvae and adults and their putative functions ND indicates the microbe was not found and D indicates the microbe was found.

Bee‐associated microbes found in the small hive beetle

As the SHB feeds on honey and pollen in honey bee colonies, these beetles are expected to receive microbes (pathogenic and symbiotic) from resident honey bees and hives. We used the Holobee database, a non‐redundant database of taxonomically informative barcoding loci for viruses, bacteria, fungi, protozoans, and metazoans associated with honey bees (https://data.nal.usda.gov/dataset/holobee-database-v20161) as a reference to identify microbial overlap between SHB and their honey bee hosts. Overall, 14 and 13 bee‐associated microbes were found in SHB larvae and adults, respectively (Table 2). Of those, seven bacteria were shared between SHB larvae and adults. We identified two additional honey bee RNA viruses in sequences derived from pooled RNA samples of all life stages.
Table 2

Honey bee‐associated microbes found in beetle larvae and adults, and their putative functions

MicrobesLarvaeAdultPutative function
Bacillus licheniformis DNDEnvironmental opportunist
Citrobacter freundii DDEnvironmental opportunist
Enterobacter cloacae DDPathogenic
Enterobacter hormaechei NDDPathogenic
Enterococcus faecalis DNDPathogenic
Escherichia coli DDEnvironmental opportunist
Frischella perrara DNDStimulating immunity
Gilliamella apicola DDDigestion
Klebsiella pneumoniae DDPathogenic
Kodamaea ohmeri DNDHoney fermentation
Lactobacillus johnsonii DNDDigestion
Lactobacillus kunkeei NDDDigestion
Lactococcus garvieae NDDPathogenic
Lactococcus lactis NDDEnvironmental opportunist
Moraxella osloensis NDDPathogenic
Myroides odoratimimus NDDPathogenic
Pseudomonas aeruginosa DDPathogenic
Serratia marcescens DNDPathogenic
Snodgrassella alvi NDDDigestion
Staphylococcus epidermidis DDPathogenic
Stenotrophomonas maltophilia DNDPathogenic
Deformed wing virusD (RNA)Pathogenic
Kakugo virusD (RNA)Pathogenic

ND indicates the microbe was not found and D indicates found.

Honey bee‐associated microbes found in beetle larvae and adults, and their putative functions ND indicates the microbe was not found and D indicates found.

Verification of the microbes with qPCR

Out of the five selected microbes, only Choristoneura occidentalis granulovirus was not confirmed, neither from adult nor larval SHBs (Table 3, Appendix Table A2). Kodamaea ohmeri was consistently found in all collected SHBs, as well as a bee‐associated symbiotic bacterium Snodgrassella alvi. A second widespread bee symbiotic bacterium Gilliamella apicola was confirmed in 3 out of 4 DNA pools. The honey bee‐associated Deformed wing virus was confirmed in pooled RNA samples of all life stages.
Table 3

Verification of the microbes with qPCR. Deformed wing virus (DWV), Snodgrassella alvi (S. alvi), Gilliamella apicola (G. apicola), Kodamaea ohmeri (K. ohmeri), Choristoneura occidentalis granuloviru (ChocGV) were used for the assay

Collection conditionsSamples DWV S. alvi G. apicola K. ohmeri ChocGV
SHB adults collected from the bee hives and directly used for DNA extraction (three samples per pool)Adult pool #1NADNDDND
Adult pool #2NADDDND
Adult pool #3NADDDND
Adult pool #4NADDDND
SHB adults collected from the bee hives and used for diet control assay and followed by RNA extraction (five samples per pool)Abdomen pool #1DNDNDDND
Abdomen pool #2DNDNDDND
Thorax and head pool #1DNDNDDND
Thorax and head pool #2DNDNDDND

ND indicates the microbe was not found; D indicates found and NA represents not applicable.

Table A2

qPCR validation results for the microbes. A set of beetle (Choristoneura occidentalis granulovirus and Kodamaea ohmeri) and bee‐associated microbe (Deformed wing virus, Gilliamella apicola, Snodgrassella alvi, and Melissococcus plutonius) were further used for qPCR verification. Generally, the validation is consistent with metagenomic assembly assignment

MicrobesRNA of all life stagesDNA of larvaeDNA of adultPrimer 1Primer 2Reference
Deformed wing virus YesNANAGAGATTGAAGCGCATGAACATGAATTCAGTGTCGCCCATAvanEngelsdorp et al. (2009)
Gilliamella apicola NANoYesGTATCTAATAGGTGCATCAATTTCCTCTACAATACTCTAGTTSchwarz, Moran, and Evans (2016)
Snodgrassella alvi NANoYesCTTAGAGATAGGAGAGTGTAATGATGGCAACTAATGACAASchwarz et al. (2016)
Choristoneura occidentalis granulovirus NANoNoTACATGGTBACNGARGAAAYTCYTTNCCGCTCCAGTTKrejmer‐Rabalska, Rabalski, Souza, Moore, and Szewczyk (2018)
Kodameae ohmeri NAYesYesGAGTGAAGCGGCAAAAGCTCAACATAGACACGGTCGCCTCDesigned by J. P. Tauber (unpublished data)
Melissococcus plutonius NAYesNoACGCCTTAGAGATAAGGTTTCGCTTAGCCTCGCGGTCTTGCGTCEvans (2006)

Yes represents the primers can be amplified. No represents the primers cannot be amplified. NA represents the primers is not conducted for qPCR assay.

Verification of the microbes with qPCR. Deformed wing virus (DWV), Snodgrassella alvi (S. alvi), Gilliamella apicola (G. apicola), Kodamaea ohmeri (K. ohmeri), Choristoneura occidentalis granuloviru (ChocGV) were used for the assay ND indicates the microbe was not found; D indicates found and NA represents not applicable.

Controlled diet analysis of SHB microbes

Deformed wing virus persisted in beetles fed under a controlled diet. Gilliamella apicola and Snodgrassella alvi were found in beetles collected from colonies but were absent after the controlled diet trials. The yeast K. ohmeri was highly abundant and constantly identified both before and after the controlled diet trials. Choristoneura occidentalis granulovirus was not found in beetles either before or after diet trials.

DISCUSSION

SHB unique microbes

Candidatus Pantoea carbekii is a known mutualism of plant‐feeding insects, which may facilitate survival and development by providing essential nutrients (Kenyon, Meulia, & Sabree, 2015). In our data, this bacterium was found in larval SHB samples, perhaps supporting the development of SHB by supplying nutrition. Protective bacteria were also found associated with SHBs. Candidatus Profftella armatura secretes polyketide toxins to protect plant‐feeding insect hosts from predators (Nakabachi et al., 2013), and it is conceivable that SHBs benefit from this bacterium when facing predators inside and outside the nest. For the Asian longhorned beetle, ten genera of bacteria were linked with lignocellulose and hemicellulose degradation (Geib, Jimenez‐Gasco, Carlson, Tien, & Hoover, 2009; Geib, Jimenez‐Gasco, Carlson, Tien, Jabbour, et al., 2009; Scully et al., 2013). Specific bacteria from the Asian longhorned beetle linked with plant digestion were not found in SHBs. However, SHBs might acquire additional bacteria from bee hives that play a similar role in plant cell wall digestion. In our data, colonization by the fungus K. ohmeri on SHB adults was verified (Table 3, Supporting Information S3). K. ohmeri causes honey fermentation and resulting volatiles act as a kairomone to mark the colony, attracting additional beetles (Hayes, Rice, Amos, & Leemon, 2015; Torto, Suazo, Alborn, Tumlinson, & Teal, 2005). Based on Kraken analysis, high numbers of Illumina reads were assigned to Choristoneura occidentalis granulovirus. However, this virus has not been found in neither de novo assembled contigs nor diet‐controlled analysis. We conclude that the k‐mer‐based assignment of Illumina reads to Choristoneura occidentalis granulovirus was a false positive caused by a long repetitive sequence in the assembled Choristoneura genome. This result demonstrates the value of following rapid heuristic searches such as Kraken with alternate forms of evidence for de novo metagenomic validation. For SHBs, the exact same microbes are not likely to be found in different life stages. Particularly, larvae must pupate in soil, quite different environmental condition compared to the bee hive. The described microbes were supported by independent data sets, reducing the chance that those microbes are falsely assigned.

Honey bee‐associated microbes found in SHBs

Out of the nine dominant bacteria species/clusters found in honey bees (Moran, 2015), four were found in SHBs, including three proteobacteria Gilliamella apicola, Frischella perrara, and Snodgrassella alvi, and one Firmicutes bacteria Lactobacillus kunkeei. The bacterium G. apicola facilitates pollen digestion and has a syntrophic effect with S. alvi that is very abundant in our study (Kešnerová et al., 2017). Acquiring this core set of honey bee bacteria arguably could help the beetle degrade pollen cell walls and digest sugars found in stored honey (Kwong & Moran, 2016). SHBs have multiple routes to acquire those bacteria, from feeding on pollen and honey, to exposure to honey bee larvae. Adult beetles also solicit food directly from their bee hosts, in the form of liquid regurgitates. Even though these symbiotic bacteria do not appear to colonize SHBs, we cannot exclude they are actively facilitating pollen and honey digestion in SHBs, as long as the beetles keep parasitizing the bee hive. Along with symbionts, SHBs host Deformed wing virus and Kakugo virus, known pathogens in honey bees. Deformed wing virus has been previously found with SHBs (Eyer, Chen, Schäfer, Pettis, & Neumann, 2009), while the others were novel to the current study. These pathogens are likely acquired orally, or via oral‐fecal transfer, as is the case with bacterial symbionts. The diet‐controlled analysis supports that Deformed wing virus can reproduce in SHBs. Furthermore, by aligning the assembled RNA sequencing contigs to the Deformed wing virus genome, both Plus/Plus and Plus/Minus matches were found. This suggests that Deformed wing virus is replicating and actively infective in SHBs, although this result should be confirmed. For one, it is conceivable that sequenced beetles have consumed honey bee eggs or larvae that themselves were infected. Regardless, SHBs are likely to act as vectors for pathogen transmission among bees and between colonies.

CONFLICT OF INTERESTS

The authors declare no conflict of interest.

AUTHOR CONTRIBUTIONS

JDE and QH designed the work, performed metagenomic analysis, and wrote the manuscript. DL performed qPCR validation and analyzed the data.

ETHICS STATEMENT

None required. Click here for additional data file. Click here for additional data file. Click here for additional data file. Click here for additional data file.
  23 in total

1.  proovread: large-scale high-accuracy PacBio correction through iterative short read consensus.

Authors:  Thomas Hackl; Rainer Hedrich; Jörg Schultz; Frank Förster
Journal:  Bioinformatics       Date:  2014-07-10       Impact factor: 6.937

2.  Early gut colonizers shape parasite susceptibility and microbiota composition in honey bee workers.

Authors:  Ryan S Schwarz; Nancy A Moran; Jay D Evans
Journal:  Proc Natl Acad Sci U S A       Date:  2016-08-01       Impact factor: 11.205

3.  Microbial community profiling to investigate transmission of bacteria between life stages of the wood-boring beetle, Anoplophora glabripennis.

Authors:  Scott M Geib; Maria del Mar Jimenez-Gasco; John E Carlson; Ming Tien; Randa Jabbour; Kelli Hoover
Journal:  Microb Ecol       Date:  2009-03-11       Impact factor: 4.552

4.  Effect of host tree species on cellulase activity and bacterial community composition in the gut of larval Asian longhorned beetle.

Authors:  Scott M Geib; Maria Del Mar Jimenez-Gasco; John E Carlson; Ming Tien; Kelli Hoover
Journal:  Environ Entomol       Date:  2009-06       Impact factor: 2.377

5.  Disentangling metabolic functions of bacteria in the honey bee gut.

Authors:  Lucie Kešnerová; Ruben A T Mars; Kirsten M Ellegaard; Michaël Troilo; Uwe Sauer; Philipp Engel
Journal:  PLoS Biol       Date:  2017-12-12       Impact factor: 8.029

6.  metaSPAdes: a new versatile metagenomic assembler.

Authors:  Sergey Nurk; Dmitry Meleshko; Anton Korobeynikov; Pavel A Pevzner
Journal:  Genome Res       Date:  2017-03-15       Impact factor: 9.043

7.  edgeR: a Bioconductor package for differential expression analysis of digital gene expression data.

Authors:  Mark D Robinson; Davis J McCarthy; Gordon K Smyth
Journal:  Bioinformatics       Date:  2009-11-11       Impact factor: 6.937

8.  Fast and accurate short read alignment with Burrows-Wheeler transform.

Authors:  Heng Li; Richard Durbin
Journal:  Bioinformatics       Date:  2009-05-18       Impact factor: 6.937

9.  Colony collapse disorder: a descriptive study.

Authors:  Dennis Vanengelsdorp; Jay D Evans; Claude Saegerman; Chris Mullin; Eric Haubruge; Bach Kim Nguyen; Maryann Frazier; Jim Frazier; Diana Cox-Foster; Yanping Chen; Robyn Underwood; David R Tarpy; Jeffery S Pettis
Journal:  PLoS One       Date:  2009-08-03       Impact factor: 3.240

10.  Kraken: ultrafast metagenomic sequence classification using exact alignments.

Authors:  Derrick E Wood; Steven L Salzberg
Journal:  Genome Biol       Date:  2014-03-03       Impact factor: 13.583

View more
  4 in total

1.  Phylogenetic Analysis of Small Hive Beetles From Native to Introduced Populations.

Authors:  Wen Feng Bai; Junfeng Liu; Yuanzhen Liu; Wensu Han; Jay D Evans; Qiang Huang
Journal:  Front Genet       Date:  2022-05-19       Impact factor: 4.772

2.  Shared and unique microbes between Small hive beetles (Aethina tumida) and their honey bee hosts.

Authors:  Qiang Huang; Dawn Lopez; Jay D Evans
Journal:  Microbiologyopen       Date:  2019-07-04       Impact factor: 3.139

3.  Global Composition of the Bacteriophage Community in Honey Bees.

Authors:  Taylor J Busby; Craig R Miller; Nancy A Moran; James T Van Leuven
Journal:  mSystems       Date:  2022-03-28       Impact factor: 7.324

Review 4.  Factors Associated with Honey Bee Colony Losses: A Mini-Review.

Authors:  Peter Hristov; Rositsa Shumkova; Nadezhda Palova; Boyko Neov
Journal:  Vet Sci       Date:  2020-10-30
  4 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.