YANG Fan, YU Jin-Yong, CHEN Si-Qi, NING Dong-Dong,Babar HASSAN,*, XU Yi-Juan,*
(1. Red Imported Fire Ant Research Center, Department of Entomology, South China Agricultural University,Guangzhou 510642, China; 2. College of Agronomy and Biotechnology, Hebei Normal University of Science & Technology, Qinhuangdao, Hebei 066004, China)
Abstract: 【Aim】 The objective of this study is to assess the diversity of bacteria in the venom glands of the red imported fire ant, Solenopsis invicta, and to compare the bacterial communities in the venom glands with those of other two stinging ants, Solenopsis geminata and Diacamma rugosum. 【Methods】 16S rRNA V3-V4 regions of bacterial community of venom glands in S. invicta workers, alates and queens, S. geminata workers and D. rugosum workers were sequenced by using the Illumine Hiseq 2500 platform. Then, bioinformatic analysis was performed based on sequencing data. 【Results】 Proteobacteria were dominant in the venom glands of S. invicta workers, alates, and queens and S. geminata workers, while Firmicutes were abundant in the venom glands of D. rugosum workers. Tenericutes were more abundant in the venom glands of S. invicta queens than in the venom glands of workers and alates. The relative abundance of Pseudomonas in S. invicta queens was significantly higher than that in S. invicta alates and workers from Guangzhou. The relative abundance of Spiroplasma in the venom glands of S. geminata workers was significantly higher than that in D. rugosum workers. Microbial diversity analysis of venom glands of worker ants of Solenopsis species showed that the relative abundance of Bacillus and Lactococcus in S. invicta workers collected from Guangxi was significantly higher than that in S. invicta workers collected from Guangzhou. However, the relative abundance of Lactococcus in D. rugosum workers was significantly higher than that in workers of S. geminata from Guangxi. 【Conclusion】 The bacterial composition and diversity are different among the workers of three ant species, and among the three castes in red imported fire ant.
Key words: Solenopsis invicta; Solenopsis geminata; Diacamma rugosum; species diversity; abundance; microorganism; venom gland
Ants are the most abundant group of venomous organisms that dominate terrestrial environments (Casewelletal., 2013). Some ant species have a true sting apparatus associated with their venom glands and sting hundreds of thousands of people each year around the world (Postma, 2009; Coleman and Wall, 2015; Golden, 2017). One of the best-known species in this family is the red imported fire antSolenopsisinvicta, which is an aggressive invasive insect spreading around the world via ship cargo and the leading cause of pain-producing pharmacological activities in humans (dos Santos Pintoetal., 2012; Fox, 2014). The venom gland apparatus of fire ants typically consists of paired venom secreting tubules that converge into a single convoluted gland, which in turn empties into a sac-like reservoir that leads to the sting (Foxetal., 2010; Torresetal., 2013). Fire ants produce venom in the poison gland that is stored in a venom sac and directly injected into prey or victims through the sting (Torresetal., 2013). Venoms of these ants contain chemicals that cause intense pain and serve as an effective deterrent against predators or are used to kill prey. Venoms of the majority of stinging ants are predominately composed of proteinaceous mixtures. However, fire ant venoms mainly consist of alkaloids (>95.0%) with only a minor proteinaceous component (0.1%-1.0%) (Touchardetal., 2016; Golden, 2017). The venom of fire ants exhibits a diversity of bioactivities, including paralytic, cytolytic, hemolytic, allergenic, proinflammatory, insecticidal, antimicrobial, and nontoxic functions such as roles in chemical communication involving trail and sex pheromones, deterrents, and aggregators (dos Santos Pintoetal., 2012; Fox, 2014; Touchardetal., 2016; Foxetal., 2018). Reactions of human beings to the sting of red imported fire ants vary from a burning sensation to severe anaphylactic shock and even death (Xuetal., 2012). Because of pronounced allergenic reactions, the venom ofS.invictahas been the subject of numerous investigations into its extraction, chemical composition, and bioactivities against other organisms (Lietal., 2012; Fox, 2014; Yuetal., 2014).
Ants and other insects host resident bacterial communities that influence their many physiological, metabolic, and immune processes. Symbiotic bacteria are present in various organs of their hosts and might promote the growth of their hosts by providing some necessary nutrients, protect against natural enemies, and even improve the host ability to adapt to new environments (Douglas, 1998; Chenetal., 2000; Oliveretal., 2003; Russell and Moran, 2006; Chengetal., 2017, 2019). Several microorganisms have evolved to live in one of the most hostile environments, the venom glands, of many organisms. They are common and viable in the venoms of both vertebrates and invertebrates (Ul-Hasanetal., 2019). Microbial fauna associated with invertebrate venom glands has been studied previously (Webb and Summers, 1990; Monteiroetal., 2002; Gaver-Wainwrightetal., 2011; Simmondsetal., 2016; Debat, 2017). However, the ant-microbe interactions that naturally occur in the venom microenvironment remain mostly unknown. As far as we are aware, no studies have attempted to examine the diversity of bacteria in venom glands of fire ants (such asS.invicta). This investigation analyzed microbial diversity in the venom glands ofS.invictausing high-throughput sequencing. For the comparison, we selected a closely related invasive fire antS.geminatathat produces defensive venom and causes severe systemic reactions in the victim, and non-invasive queen-less generalist predatorDiacammarugosumthat occasionally induces little or no pain in its envenomated prey (Blum, 1992; Hoffman, 2010). The composition and diversity of bacterial communities in the venom glands ofS.invictawere compared with those of bacterial communities in the venom glands ofS.geminataandD.rugosumaiming at finding the difference of bacterial communities in the above three species and ascertaining the special bacterium in each species.
Colonies ofS.invictaworkers (GZSiW), alates (GZSiG) and queens (GZSiQ) were collected from South China Agricultural University (Guangzhou), andS.invictaworkers (GXSiW) only were collected from Guangxi Province. Workers ofD.rugosum(YNDrW) were collected from Yunnan Province. Workers ofS.geminata(GXSgW) were collected from Guangxi Province. For each ant species, three colonies were collected from each site. Colonies were maintained separately in 25 L plastic boxes painted with a mixture of talc powder and ethanol to prevent ants from escaping (Ningetal., 2019). Ants were fed with sugar-water solution (10% w/w) and frozen locusts (Locustamigratoria) under laboratory conditions (24±2℃, 75% RH, and 14L∶10D photoperiod).
The removal of venom glands was completed within two weeks after the collection of ants by following the method described by Chenetal. (2009). Briefly, 30 workers, five alates, and three queens from each ofS.invictacolonies, 30 workers from each ofS.geminatacolonies, and five workers from each ofD.rugosumcolonies were randomly sampled and dissected under the microscope in a laminar flow hood. Three colonies were sampled for each species from each site as replicates. For dissection, ants were placed on sterile petri dishes, and the last two dorsal abdominal sclerites of ants were torn to pull the venom pouch free of the abdomen. After the cuticle was removed from the gasters and separated from the stinger, the venom gland and its reservoir were pulled and collected with a pair of microdissecting forceps. The dissected venom sacs were immediately transferred to a 1.5 mL centrifuge tube containing 50 μL of GA Buffer (TIANamp Micro DNA Kit for DNA extraction), and the tweezers were sterilized every time to ensure that all extract came from the ants.
Total venom apparatus genomic DNA was extracted using a TIANamp Micro DNA Kit [Tiangen Biotech (Beijing) Co., Ltd] according to the manufacturer’s protocols. The TIANamp Bacteria Genomic DNA Kit is based on silica membrane technology and a special buffer system for extracting DNA from a wide range of Gram-negative and Gram-positive bacteria (Yanetal., 2017). DNA samples were stored at -20℃ and then used for PCR.
For microbial diversity analysis, the V3-V4 region of the 16S rRNA gene of bacteria was amplified using PCR with primers 341F (5′-CCTACGGGNGGCWGCAG-3′) and 806R (5′-GGACTACHVGGGTATCTAAT-3′). PCRs were performed in triplicate (50 μL mixtures) containing 5 μL of 10×KOD buffer, 5 μL of 2.5 mmol/L dNTPs, 1.5 μL of each primer (5 μmol/L), 1 μL of KOD polymerase, and 100 ng of template DNA. Amplicons were extracted from 2% agarose gels, purified using the AxyPrep DNA Gel Extraction Kit (Axygen Biosciences, Union City, CA, USA) according to the manufacturer’s instructions and quantified using QuantiFluor-ST (Promega, USA). PCR conditions were as follows: initial denaturation at 95℃for 2 min, followed by 27 cycles of denaturation at 98℃ for 10 s, annealing at 62℃ for 30 s, and extension at 68℃ for 30 s and a final extension at 68℃ for 10 min. Each set of experiments included negative controls with sterile distilled water instead of template DNA. No amplified products were found in the negative controls.
Purified amplicons were pooled in equimolar concentrations and paired end sequenced (2×250) on an Illumina HiSeq 2500 platform according to standard protocols (Illumina, San Diego, CA, USA).
Raw reads containing>10% unknown nucleotides (N) or>80% of bases with quality (Q-value)>20 were removed by using FASTP (https:∥github.com/OpenGene/fastp). Paired-end clean reads were merged as raw tags using FLASH (v 1.2.11) with a minimum overlap of 10 bp and mismatch error rates of 2%. Noisy sequences of raw tags were filtered by the QIIME (V1.9.1) pipeline under specific filtering conditions to obtain high-quality clean tags. Clean tags were searched against the reference database (http:∥drive5.com/uchime/uchime_download.html) to perform reference-based chimera checking using the UCHIME algorithm (http:∥www.drive5.com/usearch/manual/uchime_algo.html). All chimeric tags were removed, and the remaining tags were subjected to further analysis. The effective tags were clustered into operational taxonomic units (OTUs) of≥97% similarity using the UPARSE pipeline. The tag sequence with the highest abundance was selected as a representative sequence within each cluster. The representative sequences were associated with organisms by a naive Bayesian model using the RDP classifier (Version 2.2) based on the SILVA database (https:∥www.arb-silva.de/). Shannon indices were calculated in QIIME using the default parameters. OTU rarefaction and rank abundance curves were plotted in QIIME. Unweighted Unifrac distance matrix generated by QIIME were used to calculate the beta diversity and were visualized with principal coordinates analysis (PCoA).
Multivariate analyses were performed to compare groups by a PERMANOVA with weighted UniFrac, as depicted in PCoA.
To determine the bacterial taxa that most likely explained differences between sites, we used nonparametric tests (Kruskal-Wallis test), one-way ANOVA andt-test. Tukey’s honestly significant difference (HSD) test was used to compare Shannon indices between groups in SPSS at the 5% level of significance. The raw data supporting the conclusions of this manuscript will be made available by the authors, without undue reservation, to any qualified researcher.
The sequence reads generated during this study have been submitted to SRA-NCBI under the accession number PRJNA597571. From all samples 1 453 bacterial OTUs were identified. A sample-based species dilution curve showed that the sequencing depth was sufficient to cover all bacterial species and reflected the richness level, which also ensured that the sample sequencing data in each group were reasonable. The alpha diversity analysis showed that there was no significant difference between the flora diversities of samples (one-way ANOVA,F5,12=0.786,df=5,P=0.579). Microbial composition at the phylum level showed that there were 21 phyla in YNDrW, 18 phyla in GZSiQ, 30 phyla in GZSiG, 18 phyla in GZSiW, 18 phyla in GXSiW, and 20 phyla in GXSgW. Proteobacteria were dominant in GXSiW (49.85%±13.88%), GXSgW (85.65%±14.77%), GZSiG (74.35%±35.74%), GZSiQ (51.12%±32.76%), and GZSiW (98.08%±1.23%) but less abundant in YNDrW (35.27%±5.62%). Firmicutes were dominant in YNDrW (46.67%±22.92%) compared to those in GXSiW (22.30%±22.30%), GXSgW (7.61%±8.15%), and GZSiW (11.70%±14.71%). Tenericutes (19.81%±34.21%) occupied the second position (Fig. 1) in the Guangzhou red fire ant queens.
Fig. 1 Taxonomic profiles of the bacterial communities in the venom glands of Solenopsis invicta,Solenopsis geminata, and Diacamma rugosum at the phylum levelThree columns for each species from each site represent three replicates. Only phyla making up at least 2% of the total obtained sequences were shown. YNDrW: D. rugosum workers from Yunnan; GXSgW: S. geminata workers from Guangxi; GZSiW: S. invicta workers from Guangzhou; GXSiW: S. invicta workers from Guangxi; GZSiG: S. invicta alates from Guangzhou; GZSiQ: S. invicta queens from Guangzhou. The same below.
At the genus level, the relative abundance ofPseudomonaswas the highest in the venom glands of YNDrW (11.56%±9.61%), followed by that in the venom glands of GXSgW (11.44%±11.13%).Pseudomonasin the GXSiW (8.03%±3.45%) presented a high level but was not the most abundant genus in GXSiW. Moreover,Pseudomonaswas the second most abundant genus in the venom glands of GZSiQ (5.28%±1.63%) and GZSiG (2.23%±0.70%).Mesoplasmawas the most abundant genus in the venom glands of GXSiW (19.79%±34.17%) and GZSiQ (20.85%±36.07%). The relative abundance ofStreptococcusin GZSiG (4.47%±7.41%) was higher than that in others.Exiguobacteriumwas abundant in the venom glands of GXSiW (16.06%±24.96%), GXSgW (5.88%±7.13%), and GZSiG (2.08%±1.59%). The relative abundance ofProteusin the venom glands of YNDrW (8.54%±14.75%) was significantly higher than that in the venom glands of all others (Table 1).
TaxaYNDrWGXSiWGXSgWGZSiGGZSiQGZSiWMesoplasma0.06±0.0319.79±34.170.75±0.980.03±0.0120.85±36.070.05±0.03Pseudomonas11.56±9.618.03±3.4511.44±11.132.23±0.705.28±1.630.97±0.66Exiguobacterium1.19±0.9216.06±24.965.88±7.132.08±1.591.47±1.220.36±0.07Acinetobacter2.86±2.755.20±6.010.42±0.381.82±2.131.76±1.820.14±0.04Proteus8.54±14.750.03±0.020.03±0.010.02±00.01±0.010.02±0Streptococcus0.51±0.860.45±0.520.01±04.47±7.412.22±2.310.01±0Bacillus0.01±0.010.62±0.200.03±0.040.88±1.052.44±4.190.06±0.07Enterococcus0.50±0.842.84±4.150.01±00.08±0.1300Rothia0.01±00.09±0.150.01±01.59±2.741.00±1.160.01±0Stenotrophomonas1.83±2.220.24±0.220.58±0.950.01±0.010.01±0.010.01±0
For each sample, the relative abundance of each taxon was compared to the total abundance of the microbial community members.
PCoA was used to further compare differences in the species diversity of bacterial communities in the venom glands. There were significant differences in the diversity of microbial communities among GZSiW, GXSgW, and YNDrW (PERMANOVA,F=5.822,df=2,P=0.002) (Fig. 2: A) and in workers ofS.invictacollected from different locations (GXSiW and GZSiW) (Fig. 2: B). There were considerable differences in the diversity of bacterial communities in the venom glands of castes GZSiW, GZSiG and GZSiQ ofS.invicta(PERMANOVA,F=1.190,df=2,P=0.033) (Fig. 2: C).
Fig. 2 Principal coordinates analysis (PCoA) of the diversity of bacteria in the venom glands of Solenopsis invicta,Solenopsis geminata and Diacamma rugosum based on weighted UniFrac distancesA: Unweighted UniFrac distances among YNDrW, GXSgW, and GZSiW; B: Unweighted UniFrac distance between GXSiW and GZSiW; C: Unweighted UniFrac distance among different castes of S. invicta (GZSiW, GZSiG, GZSiQ).
The relative abundance ofPseudomonasin the venom glands of GZSiQ was significantly higher than that of GZSiW and GZSiG ofS.invicta(one-way ANOVA,F=12.280,df=2,P=0.008) (Fig. 3: A). The relative abundance ofSpiroplasmain GXSgW was significantly higher than that in YNDrW (Kruskal-Wallis,H=6.006,df=2,P=0.05) (Fig. 3: B), while that ofLactococcusin the venom glands of YNDrW was significantly higher than that in GXSgW (Kruskal-Wallis,H=6.489,df=2,P=0.0390) (Fig. 3: C).
Fig. 3 Relative abundance of key bacterial genera Pseudomonas (A), Spiroplasma (B) and Lactococcus (C)in the venom glands of Solenopsis invicta, Solenopsis geminata and Diacamma rugosum.Data in the figure are mean±SD. Asterisk above bars indicates significant difference in the relative abundance (P<0.05, one-way ANOVA for Fig. A, and Kruskal-Wallis test for Figs. B and C).
Comparison of the whole bacterial communities in the venom glands of GZSiW and GXSiW showed differences between GZSiW and GXSiW (Fig. 2: B). Further analysis showed that the relative abundance ofLactococcusandBacillusin the venom glands of GXSiW was significantly higher than that in the venom glands of GZSiW (t-test,t1=4.689,df1=4,P1=0.009;t2=5.462,df2=4,P2=0.005) (Fig. 4: A, B).
Fig. 4 Relative abundance of key bacterial generaLactococcus (A) and Bacillus (B) in the venomglands of Solenopsis invicta workers collectedfrom different locationsData in the figure are mean±SD. Asterisk above bars indicates significant difference in relative abundance (P<0.05, t-test).
In this study we examined the diversity of bacteria in the venom glands ofS.invictacompared with those of two other stinging ant species. The major bacteria phylum in the venom glands ofS.invictaworkers, alates, queens andS.geminataworkers was Proteobacteria, while Firmicutes were abundant in the venom glands ofD.rugosumworkers. Tenericutes were also more abundant in the venom glands ofS.invictaqueens than in the venom glands of workers and alates. Geographic location, host species and stage of the host significantly influence the composition and abundance of bacterial communities associated with insects (Engel and Moran, 2013; Liuetal., 2018; Koskiniotietal., 2019). Our results showed significant differences in the abundance of bacterial communities in workers, alates and queens of ant species. However, geographic location has limited effect on bacterial community at the phylum level and we observed Proteobacteria as a major phylum in venom glands of workers ofS.invictacollected from Guangzhou and Guangxi. Furthermore, the dominant bacteria at the phylum level in venom glands ofD.rugosumwas not common in those ofS.invictaorS.geminate, which may be attributed to host-dependent differences of insect-symbiotic bacteria. Proteobacteria are well-known cuticular and gut microbiomes of ants and are both harmful and beneficial (Seipkeetal., 2013). Firmicutes are commonly present in insect guts and supply nutrients for healthy growth but are primarily influenced by the host diet (Moreau and Rubin, 2017).Exiguobacteriumwas most prevalent among Tenericutes, which has also been reported in the guts of other insects (Ranietal., 2009).Pseudomonaswas more common in queen venom than in worker and alate venoms (Table 1).Pseudomonashas been previously reported in the larvae, pupae, and guts of adultS.invictaworkers (Leeetal., 2008). However, its role as a commensal bacterium inS.invictahas not been reported in the current literature.Pseudomonasspecies are commonly found as part of the healthy flora in the oral cavity and intestinal tracts of venomous reptiles. These can produce toxins and can kill insects and other organisms by affecting the gut epithelium (Fluryetal., 2016; Glare and O′Callaghan, 2019). The relative abundance ofSpiroplasmainS.geminatawas significantly higher than that inD.rugosum(Fig. 3: B). Previously,Spiroplasmawas found to be abundant inS.geminatacolonies and less abundant inS.invicta(Ishaketal., 2011). The role ofSpiroplasmahas been studied inDrosophila, ladybugs, and butterflies.Spiroplasmabacteria are considered commensal, mutualistic or pathogenic and have been reported as male-killing bacteria inDrosophila(Hurst and Majerus 1993; Hurstetal., 2003a).Spiroplasmainjected into insects establishes vertical transmission and can kill insects (Williamson and Poulson, 1979; Hurstetal., 2003b; Anbutsu and Fukatsu 2010, 2011). Studies have also shown thatSpiroplasmainfections enhance host viability and resistance to parasitic natural enemies (Moya-Raygozaetal., 2007; Jaenikeetal., 2010; Xieetal., 2010) in insects. A novel symbiosis has also been identified betweenMyrmicaants and the facultative bacterial symbiontSpiroplasma(Ballingeretal., 2018). The present analysis of the microbial diversity in the venom glands of worker ants ofSolenopsisspecies shows that the relative abundance ofBacillusandLactococcuswas higher in GXSiW than in GZSiW (Fig. 4). However, the abundance ofLactococcusin YNDrW was higher than that in GXSgW (Fig. 3: C).Bacillusis a common commensal bacterium in insects and commonly found in other invertebrates and has been reported inS.invictaqueens, larvae, and pupae (Leeetal., 2008; Tufts and Bextine, 2009). SomeBacillusspecies are also insect pathogens and often used to control agricultural pests (Wenzeletal., 2002; Ertürk and Demirba, 2006). Several species ofBacillussecrete antibiotics against various fungal pathogens and nematodes of plants (Chaurasiaetal., 2005; Swainetal., 2008; González-Teubeetal., 2014). Studies have shown thatBacilluscan promote the growth of termites by interacting with fungi,e.g.,Bacillus-Termitomycesbinding may be beneficial for the breakdown of lignin (Mathewetal., 2012) in the gut of termites. However, someBacillusspecies inhibit potentially antagonistic fungi in colonies of higher termites (Umetal., 2013).Bacillusspecies have also been found to be associated with the plant antPseudomyrmexferrugineus(Eilmus and Heil, 2009).Lactococcushas been previously reported in the brood ofS.invicta(Ishaketal., 2011). It is a fermenting bacterium known to produce lactic acid from sugars and antibacterial substances and may serve an essential role in the digestive system of ant larvae (Ishaketal., 2011), but its functions in the venom glands of ants have not been reported.
Beta diversity analysis showed significant differences in the microbes among the workers of three species and in different castes ofS.invicta. Similarly, differences were also observed in bacterial communities ofS.invictacollected from separate locations. The differences in the bacterial communities between different species and different regions may be related to dietary structure, environment, and other factors (Engel and Moran, 2013; Liuetal., 2018; Koskiniotietal., 2019). Host specificity and host phylogeny could be a determining factor in the distribution of bacterial communities in these associations. For example, the microbial diversity of spiny ants in various areas varied, and some bacteria were unique to a particular area (Ramalhoetal., 2017). The role of microorganisms in the ant venom glands in ant hosts has not been reported in the literature and may be related to the local adaptation of insects. However, the genetic architecture of venom gland, functional characteristics, and compositional variations of venom in three ant species could be other reasons. This study focused on the diversity of bacterial communities in the venom glands, but we are not sure about the functions of these bacteria in the venom glands. It is well known that venom of fire ants has a few proteins, including allergens, phospholipases, and neurotoxins (dos Santos Pintoetal., 2012). We speculated that these bacterial communities might affect the components of the venom. Correlating microbial community profiles with functional characteristics of venom would deepen our insight into the mechanisms driving venom variation (Ul-Hasanetal., 2019). Therefore, in the future, we need to focus on the specific functions of these microorganisms in the venom glands and how microbes colonize and thrive there.
This is the first evidence that ant venoms and venom glands host diverse bacterial communities. These results challenge perceptions on the sterility of fire ant venom.