Skip to main content
Scientific Reports logoLink to Scientific Reports
. 2017 Jul 20;7:6062. doi: 10.1038/s41598-017-04922-z

Maternally-transmitted microbiota affects odor emission and preference in Drosophila larva

Jean-Pierre Farine 1, Wafa Habbachi 2, Jérôme Cortot 1, Suzy Roche 1, Jean-François Ferveur 1,
PMCID: PMC5519639  PMID: 28729609

Abstract

Experimental studies show that early sensory experience often affects subsequent sensory preference, suggesting that the heterogeneity of sensory cues in nature could induce significant inter-individual behavioral variation, potentially contributing to maintain intraspecific diversity. To test this hypothesis, we explored the behavioral effect induced by variation in the levels of a self-produced chemical, acetoin, and its link with intraspecific diversity. Acetoin is a pheromone-like substance produced by gut-associated microorganisms in Drosophila. Using wild-type Drosophila melanogaster populations producing variable acetoin levels, we (i) characterized factors involved in this variation and (ii) manipulated some of these factors to affect acetoin responses in larvae. We found that increased and decreased variations in acetoin levels were caused by microorganisms associated with the outside and inside of the egg, respectively. Wild-type larvae preferred acetoin-rich food only when they both produced and were exposed to substantial amounts of acetoin. The removal of the outside of the egg or the genetic alteration of olfaction abolished this preference. In contrast, larvae exposed to high doses of synthetic acetoin were repulsed by acetoin. The similar effects obtained with freshly caught wild-type lines suggest that this acetoin “production-preference” link underlies the diversity of acetoin-producing microorganisms among natural D. melanogaster populations.

Introduction

Acetoin (hydroxy-3-butanone-2; H3B2), a very common molecular product of the aerobic and anaerobic fermentation processes induced by microorganisms, attracts various adult insects including Drosophila14. Such attraction promotes aggregation, mating and egg-laying behaviors allowing further progeny development on the same food source5, 6. Some of the microorganisms involved in fermentation processes are ingested by larvae and adults feeding on such microbiota (=yeast + bacteria + mold). Yeast and bacteria, acquired from the external environment by first-instar Drosophila larvae, can persist through metamorphosis in adults79. During mating, male and female flies exchange microbiota that are subsequently deposited on breeding sites with eggs and feces7, 1012. Beside diet, which can affect microbiota composition13, the density of bacteria species varies during development, both on the external surface and in the gut of larvae and adults7, 1417.

The host-microbiota relationship is complex: mutually beneficial interactions between species play a pivotal role in most ecosystems and are only maintained when the fitness of both partners is enhanced. For example, Drosophila can manipulate the microbial community developing in fruits to increase its fitness3, 18, 19. Yeast-derived volatiles also attract insects3, 2023 and their dynamic coexistence with varied bacteria species enhances the attractive effect of volatile compounds24, 25.

Our study aims to unravel some of the mechanisms involved in the relationship between the production of acetoin and the behavioral response induced by this compound. Given that most Drosophila studies pertaining to acetoin production and response were performed on adults, we focused our study on larvae. In particular, we measured the variation for the production and behavioral response to acetoin in freshly caught and lab-established D. melanogaster strains. Based on the extreme quantitative variation of acetoin found between and within strains, we investigated and manipulated the factors potentially underlying this variation and measured the consequence of such variation/manipulation on larval behavior.

Results

Since our main goal aimed to discover a link between acetoin production and preference, we (i) investigated and manipulated some of the factors underlying the variation for acetoin production and (ii) measured the behavioral response to acetoin in larvae exposed to different acetoin levels.

Natural variation for acetoin production

During the past years (2013–2016), we often noted quantitative variation for the level of acetoin in the food processed by several D. melanogaster wild-type lines. For example, the Dijon2000 line (Di2) showed relatively high acetoin levels in 2013 and 2014 (during which all experiments shown on Figs 13 were performed), and a drastic decrease in 2015 (Fig. S1). More recently, we sampled freshly-caught lines (Dijon2016 = Di2016; Fig. 4) which also showed a marked inter-line variation.

Figure 1.

Figure 1

Acetoin content in food patches processed by D. melanogaster larvae. We measured the quantity of acetoin in food patches (ng/patch) impregnated by larvae of different strains or conditions. Similar patches were used in parallel for behavioral tests (Fig. 3). Food either contained no larvae (Ø; a–d), or was processed either by Dijon 2000 larvae (Di2; a–d) or Canton-S larvae (Cs; a,b). In all tests, we analyzed the acetoin levels in vials 3 days and 6 days after egg-laying (+3d, +6d; light grey and dark grey shaded bars, respectively). We tested the effect of control larvae either on plain food (a) or on food mixed with 0.02% acetoin (Food+H3B2; b). We also tested the effect of Di2 larvae resulting of control eggs (CE), or of washed eggs (WE), or of dechorionated eggs (DE) either in plain food (c) or in “Food+H3B2” (d). We also tested the effect of an extract of crushed larvae (CL) or crushed adults added in plain food (c). Data are shown as box plots representing the 50% median data (second and third quartile separated with a small horizontal bar indicating the median value). For each graph, the quantitative variation of each compound was tested using a Mann-Whitney test (***p < 0.001, *p < 0.05; NS: not significant; N = 10–77).

Figure 3.

Figure 3

Acetoin preference in Di2 and mutant larvae. (a) Each individual early third instar larva was given a binary choice between two food patches either impregnated with plain food (empty circle and bars) or with acetoin-rich food (Food+H3B2; filled circle and bars). We tested Di2 larvae (b,d,e) and anosmic Orco 2 mutant larvae (c). Each double-sided bar represents the frequency for the first chosen food in the binary choice test. Acetoin was either added at variable quantities: 0.05–10 µg (b,c) or only 2 µg dose (d,e). We also performed the control experiment associating two patches of plain food (Ø; b,c). Larvae were either raised on plain food (b–d) or on acetoin-rich food (e). We tested larvae resulting of control eggs (all tests in b, c; CE in d,e) and of manipulated eggs (washed: WE; dechorionated: DE; dechorionated + raised in isolation DEx1; d,e). For each test, significant differences for binary choice between the two food patches were detected with a Fisher exact test (***p < 0.001; **p < 0.01; *p < 0.05; N = 50 except for b-2 µg, d-DE, e-CE, e-DE experiments: N = 100). The “+” and “” signs within bars indicate significantly increased and decreased preference for acetoin when all responses corresponding to a complete set of experiment were simultaneously tested (chi-square and post-hoc cell partitioning tests; p < 0.05).

Figure 4.

Figure 4

Acetoin production and preference in freshly caught lines larvae. Eight lines sampled in 2016 (Dijon 2016 = Di16) were characterized during their first three generations in the lab (F1–F3). (a) The measure of acetoin content (ng/patch) revealed that 7 lines had very low levels (#1–3, #5–8: LOW) whereas one line had a high acetoin level (#4: HIGH). These differences remained very stable, at least until F3. (b) F3 larvae of the HIGH and LOW lines were tested for their food preference. Larvae resulting of control eggs (CE) diverged for their response differently to larvae resulting of dechorionated eggs (DE). The “+” and “” signs within bars indicate significantly increased and decreased preference for acetoin, when all responses corresponding to a complete set of experiment were simultaneously tested (chi-square and post-hoc cell partitioning tests; p < 0.05; N = 50). A significant difference for binary choice between the two food patches was also detected with a Fisher exact test (*p < 0.05). (c) Differences for acetoin production. Only HIGH line individual larvae (resulting of control eggs: CE) and adults (crushed and mixed in plain food: CA) produced high acetoin levels in +3d vials. In both cases, the levels in +6d vials strongly decreased. In all other tests (performed with other conditions and vial age) showed no, or very low, acetoin production. Significant differences were detected with a Mann-Whitney test (***p < 0.001; N = 5–10). Note also that all LOW lines were pooled (b,c).

Effect of larval development on acetoin production

We first measured whether the acetoin levels could also vary during development with larvae either raised on plain food (Fig. 1a) or on food mixed with 0.02% synthetic acetoin (“food+H3B2”; Fig. 1b). Plain food vials without larvae (Ø) kept 3 days (+3d; N = 24) and 6 days (+6d; N = 15) showed very low acetoin levels [median values (mv): 1.1 and 1.0 ng, respectively] and no age-related variation (p = NS; Fig. 1a). However, plain food vials with Di2 or Canton-S (Cs) larvae contained substantial amounts of acetoin in +3d vials which strongly decreased in +6d vials: in Di2 [mv: 205.0 ng (N = 77) and 26.8 ng (N = 49) respectively; p < 0.001] and in Cs [mv: 98.2 (N = 20) and 5.5 ng (N = 20) respectively; p < 0.001]. Note that +3d vials mostly contained first and second instar larvae (L1–L2) whereas +6d vials mostly contained third instar larvae (L3).

The control experiment (Ø) performed with “food+H3B2” revealed no acetoin change between +3d and +6d vials (mv: 501.2 and 461.8 ng, respectively; p = NS; N = 11, Fig. 1b). However, the introduction of Di2 or Cs larvae in “food+H3B2” vials induced a strong acetoin decrease between +3d and +6d vials (mv for Di2: 353.0 to 48.5 ng; N = 12, for Cs: 255.6 to 30.0 ng; N = 7, respectively; p < 0.001 for both strains). The comparison between the two food types (for each respective strain and age) revealed no difference except in Di2 +3d “plain food” and Cs +6d “food+H3B2” vials where acetoin levels dropped compared to Di2 +3d “food+H3B2” (p < 0.05) and Cs +6d “plain food” vials (p < 0.01), respectively.

Microorganisms involved in the dynamic change of acetoin

To see whether the biphasic variation of acetoin production during larval development was the result of the activity of microorganisms involved in its synthesis and/or in its degradation, we manipulated the eggs or their environment. First, to test the role of the egg chorion envelope, we either washed Di2 eggs (WE; N = 16; Fig. 1c) or removed their chorion (dechorionated eggs: DE; N = 20). Both WE and DE were subsequently placed onto plain food. Compared to control eggs (CE: 248.1 ng at +3d, N = 37; 26.3 ng at +6d, N = 18), the food processed by WE- and DE-derived larvae contained minute acetoin levels at +3d (mv: 2.8 and 1.2 ng, respectively). A slight decrease was noted in WE and DE +6d vials (mv: 0.8 for both tests; p < 0.05) while Ø vials showed equally low acetoin levels at +3d (1.0 ng, N = 28) and at +6d (0.9 ng; N = 13).

To further test the activity of acetoin-related microorganisms associated with Di2 larvae or adults, we either crushed whole L1–L3 larvae (CL; N = 24), or adults (CA; N = 20; Fig. 1c), and added the resulting extract in plain food. In CL and CA experiments, the high acetoin level detected in +3d vials (mv: 367.5 and 355.2 ng, respectively) strongly decreased in +6d vials (mv: 36.5 and 19.9 ng, respectively; p < 0.001). Therefore, microorganisms carried by larvae and adults are able, by themselves, to induce the biphasic variation of acetoin similarly to microorganisms hosted by intact control larvae. Moreover, on “food+H3B2” DE-derived larvae induced a strong acetoin decrease between +3d and +6d (mv: 434.4 to 62.8 ng; N = 25; p < 0.001) differently to the control test (Ø) where no acetoin decrease was noted between +3d and +6d (mv: 477.5 to 422.6 ng; N = 10; Fig. 1d).

Inter-population and –generation variation of acetoin

Next, to sample acetoin variation within a single lab-established strain, we split the Di2 strain into 18 similar-size lines. These lines were simultaneously reared on plain food and their acetoin profiles were measured in +3d and +6d vials (A to R; Fig. S2). Moreover, to investigate for a potential parental age effect, we compared the acetoin profile in larval progeny left by the same female progenitors when 1–2 days old (top histograms) and 3–4 days old (bottom histograms). While no parental-age effect was detected either in +3 d (W = 120; p = 0.139) or +6 d vials (W = 89; p = 0.896), a general “+3 d to +6 d” decrease was noted both for younger and older progenitor females (W = 151; p = 0.005 and W = 170; p = 0.0002, respectively).

We also tested the inter-generational variability of acetoin production in five lines retained for their diverse acetoin profiles (A–E; Figs 2 and S2). To obtain and maintain acetoin-free lines, progenitor flies were transferred during 10 generations (F1 to F10) onto fresh food every two days (for the sake of clarity, we only measured +3d vials induced by younger progenitor females). This procedure was effective in drastically decreasing and maintaining acetoin production at a low level in the five lines during the F1–F4 generations, but after the F5 generation, acetoin level started to show variations, both increases and decreases, without line synchrony.

Figure 2.

Figure 2

Variation of acetoin content during 10 generations. We simultaneously measured acetoin levels (ng/patch) in food patches processed by larvae in five Di2-derived lines (A–E; +3d vials) selected from a larger sample (F0; Fig. S2). In each line, acetoin production was measured during 10 successive generations (F1–F10). At each generation, progenitors flies inducing the next generation were kept only two days for egg-laying on the food in order to reduce microorganism transmission (see Material and methods).

Larval behavioral response to acetoin: effect of early exposure and olfaction

The second main aspect of our study consisted to determine the behavioral effect induced by the exposure to the acetoin produced by larvae. More precisely, we measured food preference in individual larva presented with the binary choice test “plain food vs. food+H3B2” (Fig. 3a). Given that acetoin is a volatile molecule, we measured two parameters representative of larval olfactory response: (i) the first food chosen and (ii) the time taken to reach it. Di2 larvae raised in control conditions (CE) and tested with different acetoin doses only showed a significant preference for 2 µg acetoin (N = 100; p = 0.0009; Figs 3b and S3a). In contrast, olfactory-defective Orco 2 mutant larvae—raised and tested in similar conditions—showed no preference (p = ns; Figs 3c and S3b).

In the two other experiments, we compared the response to “food+2 µg H3B2” (the preferred dose) of Di2 larvae originating from manipulated eggs and either raised on plain food (Figs 3d and S3c) or on “food+H3B2” (Figs 3e and S3d). Larvae derived from control eggs (CE) showed a very different response according to their exposure: larvae raised on plain food were attracted (N = 50; p = 0.015)—whereas those raised on “food+H3B2” were repulsed (N = 100; p = 0.006)—by acetoin-rich food. Differently, on both food types, larvae either derived from washed (WE), dechorionated (DE), or dechorionated/isolated eggs (DEx1) showed no preference (p = ns). In all behavioral tests, no global difference was noted between the time taken by larvae to reach either type of food, and this was likely due to the high variability of responses (Figs S4 and S5).

Natural variation of larval acetoin production and preference

Since the phenotypes shown by lab-established lines may result of lab adaptation, we tested acetoin production and preference in larvae from freshly-caught lines (Di2016). Their analysis, performed at the F1, F2 and F3 generations, reveals that most (7/8) of these Di2016 lines produced minute quantities or undetectable levels of acetoin (mv = 1.8ng; N = 8; LOW) whereas one line showed high acetoin levels (#4; mv: 953.5 ng; N = 8; HIGH; Fig. 4a). At F3 generation, the behavioral response of CE-derived larvae, tested in the binary food-preference assay, revealed a strong difference between the two types of lines: HIGH larvae were attracted—whereas LOW lines (pooled) were repulsed—by acetoin-rich food (N = 50; p = 0.033; Figs 4b and S3e). Differently, larvae resulting of dechorionated eggs (DE) showed no preference in either HIGH or LOW lines (p = ns). Both lines produced very low acetoin levels in +3d and +6d vials (Fig. 4c). Also, a crushed adult extract (CA; N = 10) mixed with plain food induced a biphasic variation in the HIGH line between +3d and +6d vials (mv: 450.1 and 12.2 ng, respectively; N = 10; p < 0.001; Fig. 4c) but not of the LOW lines.

Discussion

In nature and in the lab, the quantity of acetoin left in the food by larvae can largely vary between populations, generations and during larval development. When exploring the origin of this variation, we found a relationship between the level of acetoin naturally produced by larvae and their olfactory preference for acetoin. This indicates the existence of an experience-dependent conditioning.

Lines derived from a single lab-established stock (Di2) showed unpredictable acetoin variations (i) at a given generation and (ii) between generations. This effect maybe explained by the substantial variability of gut microbiota between natural and laboratory Drosophila populations13, 26, 27. The microbiota composition shows more similarity between natural populations and species feeding on the same sources while it varies more between lab-reared lines13, 17. This indicates that the conditions of laboratory maintenance can affect the microbiota composition of Drosophila lines14, 28, especially in the lines kept on axenic food, or on food containing a broad-spectrum antimicrobial. Our Di2 lines either raised on food with/or without methylparaben (antifungal) showed no quantitative difference for acetoin production (data not shown). When flies are kept longer in the same food vial, they may contain more bacteria due to repeated “feces excretion/reabsorption” cycles7, 29, 30, thus likely impacting the acetoin level. If frequent adult transfer to fresh food vials allowed us to rapidly decrease acetoin levels, this effect was not permanent (Fig. 2).

Lines producing substantial levels of acetoin showed an early larval increase phase (L1–L2) followed by a decreased phase (L3). Acetoin increase could be related to the enhanced activity and multiplication of microorganisms during the L1–L2 phase whereas acetoin decrease could be due to (i) decreased available resources or to a change (ii) of internal physiology, such as pH 31 or (iii) of microbiota composition during L3 development. We experimentally separated acetoin-producing and degrading microorganisms associated with eggs. Microbes involved in the increased production phase are spread over the chorion7 explaining why washed or dechorionated eggs (WE, DE) produced no—or minute amounts of—acetoin (Figs 1c and 4c). The decreased acetoin level induced by DE-derived larvae in acetoin-rich food indicates that microbes involved in the degrading phase are not associated with the egg chorion (Fig. 1d). Our data also indicate that larvae and adults carry the microorganisms involved in both phases (CL, CA; Figs 1c and 4c). Given that the yeast used in our plain food is inactivated, the initial synthesis of acetoin may be the result of the activity of the two D. melanogaster prominent bacteria species, Lactobacillus plantarum and Acetobacter pomorum 14, 3133. On the other hand, acetoin catabolism may be governed by several enzymatic systems leading to the production of various derived chemicals into the food often including 2,3-butanediol34, 35. However, we only detected minute amounts of this compound (<2 ng/patch) and found no co-variation with acetoin (data not shown).

Gut-associated microorganisms can elicit biosynthesis or catabolism processes yielding pheromonally-active compounds36. Acetoin—alone or mixed with other compounds—can attract various adult insects including Scarabaeidae, Dictyopterae, Coleopterae, Psocopterae3640, and also D. melanogaster and D. suzukii adults13, 23. Acetoin is a ligand for various olfactory sensory neurons4145. In D. melanogaster adults, acetoin perception is processed by the VA2 antennal lobe glomerulus also involved in the close-range attraction of flies to vinegar46. Among olfactory receptor proteins (Ors) expressed in both adult and larva, Or2a and Or7a can respond to acetoin47, 48. This explains why Orco 2 mutant larvae showed no preference to acetoin-rich food (Fig. 3c). Differently, Drosophila simulans and D. buzzatii larvae showed no preference to acetoin-rich food49. Our findings fits well with the attraction of D. melanogaster larvae to uncharacterized volatile(s) produced by laboratory food mixed with L. plantarum bacteria6.

Our data reveals the existence of a relationship between the level of acetoin produced by larvae (and to which they are exposed) and their behavioral response to this compound. Acetoin preference was only shown by wild-type larvae producing substantial amounts of acetoin and raised in control conditions (e.g. mass-reared larvae kept in plain food and resulting of intact eggs; Figs 3b and 4b). In contrast, the manipulation of eggs (WE, DE, DEx1; Figs 3d and 4b) or of their environment (addition of synthetic acetoin; Fig. 3e) strongly impaired the larval response. More precisely, larvae derived of the various egg treatments produced no, or very little acetoin and were indifferent to acetoin (Figs 1c and 4c). Very differently, larvae exposed to a homogeneously high level of acetoin showed a repulsive behavior (Fig. 3e). This indicates that the early developmental exposure to acetoin subsequently affects larval preference to this compound. This effect was confirmed with freshly caught lines diverging for their acetoin production (HIGH vs LOW; Fig. 4). It is not clear yet whether such experience-dependent conditioning results of an early imprinting effect or of some associative learning process50. This conditioning effect can vary between Drosophila species: early developmental exposure to larval-processed food strongly conditioned D. simulans and D. buzzatii larvae to prefer their own species-labelled food51 while it induced a strong aversion in wild-type D. melanogaster larvae52. This repulsive response was abolished with specific antibiotic treatment52. This suggests that the aversive effect induced by the complete mixture of volatile compounds produced by D. melanogaster larvae masks the attractive effect elicited by naturally-produced acetoin. This also explains why we did not use antibiotic treatment to cure our lines given the undesired effects induced on larval preference52.

The variability of our freshly caught lines suggests that the natural food sources, on which larvae develop, contain variable acetoin levels7, 30 (Fig. 4a). We hypothesize that the odors resulting of the activity of yeast and/or bacteria colonies left on food sources by the feces of pioneer insects3, 19, 21, 53 elicit fly aggregation and egg-laying54, 55. On these sources, developing larvae produce acetoin and other volatile compounds that will in turn attract more larvae56 (this study) and adults2, 12, 57. Once the colonized source of food contains a “too high” level of acetoin, negatively conditioned larvae search for alternative acetoin-free or -low spots to develop and possibly reproduce, thus initiating a new colonization cycle. We do not know yet whether early developmental exposure to acetoin can change Drosophila adult preference to acetoin-labelled food sites similarly to the effect described with dietary fatty-acids58.

Overall, the presence and activity of microbiota at most insect developmental stages is not only critical for the production of volatile metabolites conditioning food choice, but also for many other critical fitness-related traits including growth, immunity, nutrition, kin recognition and mate preference8, 14, 5963.Our study completes this picture and suggests that the natural intraspecific variation of microbiota in insect species can affect their ecological structuration and, on a longer period of time, their evolution.

Materials and Methods

Drosophila culture

D. melanogaster strains were raised in 150 ml glass vials containing 50 ml of inactivated yeast/cornmeal/agar medium and kept in a breeding room at 24.5 ± 0.5 °C with 65 ± 5% humidity on a 12:12 h light/dark cycle (subjective day from 8:00 am to 8:00 pm). Unless indicated, flies were transferred every two days to avoid larval competition and to regularly provide abundant progeny for testing. All behavioral experiments were performed under similar conditions. We used Dijon 2000 (Di2), a wild-type strain maintained in our lab for 15 years, which showed very stable behavioral performances52, the old-established Canton-S strain (Cs), and several freshly caught lines (Dijon 2016: Di16). We also tested the Orco 2 mutant line (Bloomington stock #23130) in which larvae and flies deprived of the Or83b olfactory co-receptor show defective chemosensitive behavior64. To obtain a genetic background similar to that of the Di2 strain, the Orco 2 mutation was introgressed into the genome of the Di2; w1118 strain during five repeated backcross generations. For each of the 18 lines established from the parental Di2 strain, 50 young females and 100 young males (<12 h) were kept 48 h to allow mating and egg-laying in a vial containing 4 g of plain-food. After 2 days, adults were transferred in a new vial to allow a second round of egg-laying during 48 h. Then, the level of acetoin was quantified in these vials after 3 and 6 days of larval development (with a single measure for each vial).

Chemical analysis

We analyzed the chemical composition of the food either plain or processed by Drosophila larvae, 3 and 6 days after egg-laying (+3d, +6d; vials mostly contained L1+L2 or L3 instar larvae, respectively). The food patches to be analyzed and tested were always impregnated following a procedure described earlier49. Acetoin was identified by GC-MS, using its retention time and its fragmentation pattern; diagnostic ions were compared with both the NIST/EPA/NIH library and the mass-spectrum of the synthetic chemical standard (Sigma-Aldrich, St Quentin Fallavier, France) analyzed under the same conditions. For quantitative analyses, the response factors of n-pentadecane and acetoin (H3B2) were determined at 1, 5, 10, 25, 50, 100, 200, 500 and 1000 ng. Each set of measures was performed several times separated in time by few weeks to few months.

Egg, larval and adult treatments

Control eggs (CE): 50 young females and 100 young males (<12 h day-old) were kept during two days to allow egg-laying in a vial containing 4 g of control plain food (Ø) or 0.02% H3B2 supplemented food (e.g., 200 ng acetoin/mg plain food). After removing the adults, the concentration of acetoin was estimated in vials after 3 and 6 days of incubation at ±25 °C.

Washed eggs (WE): eggs (<6 h) were rinsed five times in fresh sterile deionized water. Then, about 200 eggs were transferred in a vial containing 4 g of plain-food mixed, or not, with 0.02% H3B2. Here, the amount of acetoin was also quantified in +3d and +6d vials.

Dechorionated eggs (DE): eggs (<6 h) were rinsed five times in fresh deionized and sterile water. Then eggs were dechorionated by immersion for a few minutes in a 3% solution of sodium hypochlorite, followed by three washes with sterile deionized water. About 200 eggs were transferred in different vials as described above and acetoin was quantified in +3d and +6d vials. We also tested the response of DE-derived larvae raised in isolation (DEx1). In this case, freshly laid eggs (<6 h) were dechorionated and individually deposited in a fresh food vial (either containing Plain food or Food+H3B2) and kept until early L3 stage for testing.

Body extracts: whole bodies of fresh anesthetized animals (5 min at −20 °C) corresponding to 3 g of washed larvae (L1–L3) or 4 g of mixed adults (2–4 day-old) were crushed using a sterile grinding glass apparatus in 30 or 40 ml de-ionized sterile water, respectively. Resulting extracts were filtrated through glass-wool to retain intact tissues and 1 ml of each solution was mixed (using a spatula) with 4 g of plain food in a vial. These vials were maintained at 24.5 ± 0.5 °C until being used.

Behavioral tests

We always used early 3rd instar larvae taken from mass-reared cultures (unless otherwise specified). We followed a similar procedure as that previously described49. Before the tests, patches were dipped during 2 hours in plain food and then impregnated either with 5 µl hexane alone or mixed with 0.05–10 µg H3B2. Patches were always used after solvent evaporation (15 sec at room temperature). Our binary choice test generally involved one “plain food” patch paired with a “food+H3B2” patch that were alternatively placed in diametrically opposite zones separated by a distance of 30 mm. Each larva was transferred, using a fine brush, halfway between the two patches and a lid covered the dish to avoid excessive evaporation of the tested substances. For each larva, we noted the first food patch chosen and the time necessary to reach this patch. All observations were performed during 30 min under white light at 24.5 ± 0.5 °C. Control experiments consisted in a pair of plain food patches. Control and experimental tests were simultaneously performed. Fifty to 100 replicates were performed depending on the experiment.

Statistics

Acetoin level measurements were carried out in vials containing a similar number of larvae according to both larval stage and maternal age.

For each studied group, we compared the distribution of H3B2 amounts between +3d and +6d vials using a Mann-Whitney test (p < 0.05). For each behavioral test, we assessed the statistical difference for larval distribution between the two food patches using a Fisher exact test (p < 0.05). For each complete set of behavioral tests, a post hoc cell partitioning analysis and a chi-square test (p < 0.05) were used to compare the distribution between the different groups of larvae simultaneously tested (Figs 3b–e and 4b).

Electronic supplementary material

Acknowledgements

We thank Claude Everaerts for help with the statistics, Ralph J. Greenspan, Matthew J. Cobb and two anonymous reviewers for comments on the manuscript. Funding was provided in part by the Centre National de la Recherche Scientifique (CNRS; INSB), the Burgundy Regional Council (PARI2012 and 2014), and the Université de Bourgogne Franche-Comté.

Author Contributions

J.-P.F. and J.-F.F. conceived the experiments and wrote the ms. J.-P.F., W.H., J.C. and S.R. performed the experiments.

Competing Interests

The authors declare that they have no competing interests.

Footnotes

Electronic supplementary material

Supplementary information accompanies this paper at doi:10.1038/s41598-017-04922-z

Publisher's note: Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

References

  • 1.Stökl J, et al. A deceptive pollination? system targeting drosophilids through olfactory mimicry of yeast. Curr. Biol. 2010;20:1846–1852. doi: 10.1016/j.cub.2010.09.033. [DOI] [PubMed] [Google Scholar]
  • 2.Becher PG, Bengtsson M, Hansson BS, Witzgall P. Flying the fly: long-range flight behavior
 of Drosophila melanogaster to attractive odors. J. Chem. Ecol. 2010;36:599–607. doi: 10.1007/s10886-010-9794-2. [DOI] [PubMed] [Google Scholar]
  • 3.Becher PG, et al. Yeast, not fruit volatiles mediate Drosophila melanogaster attraction, oviposition and development. Funct. Ecol. 2012;26:822–828. doi: 10.1111/j.1365-2435.2012.02006.x. [DOI] [Google Scholar]
  • 4.Cha DH, Adams T, Rogg H, Landolt PJ. Identification and field evaluation of fermentation volatiles from wine and vinegar that mediate attraction of spotted wing drosophila, Drosophila suzukii. J. Chem. Ecol. 2012;38:1419–1431. doi: 10.1007/s10886-012-0196-5. [DOI] [PubMed] [Google Scholar]
  • 5.Ringo J, Sharon G, Segal D. Bacteria-induced sexual isolation in Drosophila. Fly. 2011;5:310–315. doi: 10.4161/fly.5.4.15835. [DOI] [PubMed] [Google Scholar]
  • 6.Venu I, Durisko Z, Xu J, Dukas R. Social attraction mediated by fruit flies’ microbiome. J. Exp. Biol. 2014;217:1346–1352. doi: 10.1242/jeb.099648. [DOI] [PubMed] [Google Scholar]
  • 7.Bakula M. The persistence of a microbial flora during postembryogenesis of Drosophila melanogaster. J. Invertebr. Pathol. 1969;14:365–374. doi: 10.1016/0022-2011(69)90163-3. [DOI] [PubMed] [Google Scholar]
  • 8.Ridley EV, Wong ACN, Westmiller S, Douglas AE. Impact of the resident microbiota on the nutritional phenotype of Drosophila melanogaster. PLoS ONE. 2012;7:e36765. doi: 10.1371/journal.pone.0036765. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 9.Ridley EV, Wong ACN, Douglas AE. Microbe-dependent and nonspecific effects of procedures to eliminate the resident microbiota from Drosophila melanogaster. Appl. Environ. Microbiol. 2013;79:3209–3214. doi: 10.1128/AEM.00206-13. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 10.Gilbert GG. Dispersal of yeast and bacteria by Drosophila in a temperate forest. Oecologia. 1980;46:135–137. doi: 10.1007/BF00346979. [DOI] [PubMed] [Google Scholar]
  • 11.Starmer WT, Aberdeen V, Lachance MA. The yeast community associated with Opuntia stricta in Florida with regard to the moth Cactoblastis cactorum. Fl. Sci. 1988;51:7–11. [Google Scholar]
  • 12.Keesey IW, et al. Adult frass provides a pheromone signature for Drosophila feeding and aggregation. J. Chem. Ecol. 2016;42:739–747. doi: 10.1007/s10886-016-0737-4. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 13.Chandler JA, Lang JM, Bhatnagar S, Eisen JA, Kopp A. Bacterial communities of diverse Drosophila species: ecological context of a host–microbe model system. PLoS Genet. 2011;7:e1002272. doi: 10.1371/journal.pgen.1002272. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 14.Broderick NA, Lemaitre B. Gut-associated microbes of Drosophila melanogaster. Gut Microbes. 2012;4:307–321. doi: 10.4161/gmic.19896. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 15.Engel P, Moran NA. The gut microbiota of insects-diversity in structure and function. FEMS Microbiol. Rev. 2013;37:699–735. doi: 10.1111/1574-6976.12025. [DOI] [PubMed] [Google Scholar]
  • 16.Lemaitre B, Miguel-Aliaga I. The digestive tract 
of Drosophila melanogaster. Annu. Rev. Genet. 2013;47:377–404. doi: 10.1146/annurev-genet-111212-133343. [DOI] [PubMed] [Google Scholar]
  • 17.Staubach F, Baines JF, Künzel S, Bik EM, Petrov DA. Host species and environmental effects on bacterial communities associated with Drosophila in the laboratory and in the natural environment. PLoS ONE. 2013;8:e70749. doi: 10.1371/journal.pone.0070749. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 18.Anagnostou C, LeGrand EA, Rohlfs M. Friendly food for fitter flies? – influence of dietary microbial species on food choice and parasitoid resistance in Drosophila. Oikos. 2010;119:533–541. doi: 10.1111/j.1600-0706.2009.18001.x. [DOI] [Google Scholar]
  • 19.Stamps JA, Yang LH, Morales VM, Boundy-Mills KL. Drosophila regulate yeast density and increase yeast community similarity in a natural substrate. PLoS ONE. 2012;7:e42238. doi: 10.1371/journal.pone.0042238. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 20.Saerens SMG, Delvaux FR, Verstrpen KJ, Thevelein JM. Production and biological function of volatile esters in Saccharomyces cerevisiae. Microb. Biotechnol. 2010;3:165–177. doi: 10.1111/j.1751-7915.2009.00106.x. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 21.Palanca L, Gaskett AC, Günther CS, Newcomb RN, Goddard MR. Quantifying variation in the ability of yeasts to attract Drosophila melanogaster. PLoS ONE. 2013;8:e75332. doi: 10.1371/journal.pone.0075332. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 22.Buser CC, Newcomb RD, Gaskett AC, Goddard MR. Niche construction initiates the evolution of mutualistic interactions. Ecol. Lett. 2014;17:1257–1264. doi: 10.1111/ele.12331. [DOI] [PubMed] [Google Scholar]
  • 23.Christiaens JF, et al. The fungal aroma gene ATF 1 promotes dispersal of yeast cells through insect vectors. Cell. Rep. 2014;9:425–432. doi: 10.1016/j.celrep.2014.09.009. [DOI] [PubMed] [Google Scholar]
  • 24.Schulz S, Dickschat JS. Bacterial volatiles: the smell of small organisms. Nat. Prod. Rep. 2007;24:814–842. doi: 10.1039/b507392h. [DOI] [PubMed] [Google Scholar]
  • 25.Audrain B, Farag MA, Ryu C-M, Ghigo JM. Role of bacterial volatile compounds in bacterial biology. FEMS Microbiol. Rev. 2015;2:1–12. doi: 10.1093/femsre/fuu013. [DOI] [PubMed] [Google Scholar]
  • 26.Corby-Harris V, et al. Geographical distribution and diversity of bacteria associated with natural populations of Drosophila melanogaster. Appl. Environ. Microbiol. 2007;73:3470–3479. doi: 10.1128/AEM.02120-06. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 27.Wong ACN, Chaston JM, Douglas AE. The inconstant gut microbiota of Drosophila species revealed by 16S rRNA gene analysis. I.S.M.E.J. 2013;7:1922–1932. doi: 10.1038/ismej.2013.86. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 28.Reaume CJ, Sokolowski MB. The nature of Drosophila melanogaster. Curr. Biol. 2006;16:R623–R628. doi: 10.1016/j.cub.2006.07.042. [DOI] [PubMed] [Google Scholar]
  • 29.Ren C, Webster P, Finkel SE, Tower J. Increased internal and external bacterial load during Drosophila aging
 without life-span trade-off. Cell. Metab. 2007;6:144–152. doi: 10.1016/j.cmet.2007.06.006. [DOI] [PubMed] [Google Scholar]
  • 30.Paredes. JC, Welchman DP, Poidevin M, Lemaitre B. Negative regulation by amidase PGRPs shapes the Drosophila antibacterial response and protects the fly from innocuous infection. Immunity. 2011;35:770–779. doi: 10.1016/j.immuni.2011.09.018. [DOI] [PubMed] [Google Scholar]
  • 31.Montville TJ, Hsu AHM, Meyer ME. High-efficiency conversion of pyruvate to acetoin by Lactobacillus plantarum during ph-controlled and fed-batch fermentations. Appl. Environ. Microbiol. 1987;53:1798–1802. doi: 10.1128/aem.53.8.1798-1802.1987. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 32.De Ley J. On the formation of acetoin by. Acetobacter. J. gen. Microbiol. 1959;21:352–365. doi: 10.1099/00221287-21-2-352. [DOI] [PubMed] [Google Scholar]
  • 33.Wong CNA, Ng P, Douglas AE. Low-diversity bacterial community in the gut of the fruitfly Drosophila melanogaster. Environ. Microbiol. 2011;13:1889–1890. doi: 10.1111/j.1462-2920.2011.02511.x. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 34.Xiao Z, Lu JR. Strategies for enhancing fermentative production of acetoin: A review. Biotechnol. Adv. 2014;32:492–503. doi: 10.1016/j.biotechadv.2014.01.002. [DOI] [PubMed] [Google Scholar]
  • 35.Gonzalez E, et al. Role of saccharomyces cerevisiae oxidoreductases Bdh1p and Ara1p in the metabolism of acetoin and 2,3-butanediol. Appl. Environ. Microbiol. 2010;76:670–679. doi: 10.1128/AEM.01521-09. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 36.Davis TS, Crippen TL, Hofstetter RW, Tomberlin JK. Microbial volatile emissions as insect semiochemicals. J. Chem. Ecol. 2013;39:840–859. doi: 10.1007/s10886-013-0306-z. [DOI] [PubMed] [Google Scholar]
  • 37.Robacker DC, Lauzon CR. Purine metabolizing capability of Enterobacter agglomerans affects volatiles production and attractiveness to Mexican fruit fly. J. Chem. Ecol. 2002;28:1549–1563. doi: 10.1023/A:1019920328062. [DOI] [PubMed] [Google Scholar]
  • 38.Tolasch T, Sölter S, Toth M, Ruther J, Francke W. (R)-Acetoin-female sex pheromone of the summer chafer Amphimallon solstitiale. J. Chem. Ecol. 2003;29:1045–1050. doi: 10.1023/A:1022992516854. [DOI] [PubMed] [Google Scholar]
  • 39.Saïd I, Renou M, Morin J-P, Ferreira JMS, Rochat D. Interactions between acetoin, a plant volatile, and pheromone in Rhynchophorus palmarum: behavioral and olfactory neuron responses. J. Chem. Ecol. 2005;31:1789–1805. doi: 10.1007/s10886-005-5927-4. [DOI] [PubMed] [Google Scholar]
  • 40.Farine J-P, et al. the male abdominal glands of Leucophaea maderae: chemical identification of the volatile secretion 
and sex pheromone function. J. Chem. Ecol. 2007;33:405–415. doi: 10.1007/s10886-006-9224-7. [DOI] [PubMed] [Google Scholar]
  • 41.Stensmyr, M. C., Giordano, E., Balloi, A., Angioy, A.-M. & Hansson, B. S. Novel natural ligands for Drosophila olfactory receptor neurones. J. Exp. Biol206, 715–724 (2003). [DOI] [PubMed]
  • 42.Kreher SA, Kwon JY, Carlson JR. The molecular basis of odor coding in the Drosophila larva. Neuron. 2005;46:445–456. doi: 10.1016/j.neuron.2005.04.007. [DOI] [PubMed] [Google Scholar]
  • 43.Kreher SA, Mathew D, Kim J, Carlson JR. Translation of sensory input into behavioral output via an olfactory system. Neuron. 2008;59:110–124. doi: 10.1016/j.neuron.2008.06.010. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 44.Pelz D, Roeske T, Syed Z, de Bruyne M, Galizia CG. The molecular receptive range of an olfactory receptor in vivo (Drosophila melanogaster Or22a) J. Neurobiol. 2006;66:1544–63. doi: 10.1002/neu.20333. [DOI] [PubMed] [Google Scholar]
  • 45.Silbering AF, et al. Complementary function and integrated wiring of the evolutionarily distinct Drosophila olfactory subsystems. J. Neurosci. 2011;31:13357–13375. doi: 10.1523/JNEUROSCI.2360-11.2011. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 46.de Bruyne M, Baker TC. Odor detection in insects: volatile codes. J. Chem. Ecol. 2008;34:882–897. doi: 10.1007/s10886-008-9485-4. [DOI] [PubMed] [Google Scholar]
  • 47.Couto, A., Alenius, M. & Dickson, B. J. Molecular, anatomical, and functional organization of the Drosophila olfactory system. Curr. Biol.15, 1535–1547 (2005). [DOI] [PubMed]
  • 48.Fishilevich E, et al. Chemotaxis behavior mediated by single larval olfactory neurons in Drosophila. Curr. Biol. 2005;15:2086–2096. doi: 10.1016/j.cub.2005.11.016. [DOI] [PubMed] [Google Scholar]
  • 49.Farine J-P, Cortot J, Ferveur J-F. Drosophila adult and larval pheromones modulate larval food choice. Proc. R. Soc. B. 2014;281:20140043. doi: 10.1098/rspb.2014.0043. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 50.Gerber B, Stocker RF. The Drosophila larva as a model for studying chemosensation and chemosensory learning: a review. Chem. Senses. 2007;32:65–89. doi: 10.1093/chemse/bjl030. [DOI] [PubMed] [Google Scholar]
  • 51.Beltrami M, Medina-Munoz MC, Del Pino F, Ferveur JF, Godoy-Herrera R. Chemical cues influence pupation behavior of Drosophila simulans and Drosophila buzzatii in nature and in the laboratory. PLoS ONE. 2012;7:e39393. doi: 10.1371/journal.pone.0039393. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 52.Thibert J, Farine J-P, Cortot J, Ferveur J-F. Drosophila food-associated pheromones: effect of experience, genotype and antibiotics on larval behavior. PLoS ONE. 2016;11:e0151451. doi: 10.1371/journal.pone.0151451. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 53.Arguello JR, Sellanes C, Lou YR, Raguso RA. Can yeast (S. cerevisiae) metabolic volatiles provide polymorphic signaling? PLoS ONE. 2013;8:e70219. doi: 10.1371/journal.pone.0070219. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 54.Wertheim B, Marchais J, Vet LEM, Dicke M. Allee effect in larval resource exploitation in Drosophila: an interaction among density of adults, larvae, and micro-organisms. Ecological Entomology. 2002;27:608–617. doi: 10.1046/j.1365-2311.2002.00449.x. [DOI] [Google Scholar]
  • 55.Erkosar B, Leulier F. Transient adult microbiota, gut homeostasis and longevity: Novel insights from the Drosophila model. FEBS Lett. 2014;588:4250–4257. doi: 10.1016/j.febslet.2014.06.041. [DOI] [PubMed] [Google Scholar]
  • 56.Rohlfs M. Clash of kingdoms or why Drosophila larvae positively respond to fungal competitors. Front. Zool. 2005;2:2. doi: 10.1186/1742-9994-2-2. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 57.Cha, D. H. et al. A four-component synthetic attractant for Drosophila suzukii (Diptera: Drosophilidae) isolated from fermented bait headspace. Pest Manag. Sci.70, 324–331 (2013). [DOI] [PubMed]
  • 58.Flaven-Pouchon J, et al. Transient and permanent experience with fatty acids changes Drosophila melanogaster preference and fitness. PLoS ONE. 2014;9:e92352. doi: 10.1371/journal.pone.0092352. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 59.Sharon G, et al. Commensal bacteria play a role in mating preference of Drosophila melanogaster. P.N.A.S. 2010;107:20051–20056. doi: 10.1073/pnas.1009906107. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 60.Storelli G, et al. Lactobacillus plantarum promotes Drosophila systemic growth by modulating hormonal signals through TOR-dependent nutrient sensing. Cell Metab. 2011;14:403–414. doi: 10.1016/j.cmet.2011.07.012. [DOI] [PubMed] [Google Scholar]
  • 61.Lizé A, McKay R, Lewis Z. Kin recognition in Drosophila: the importance of ecology and gut microbiota. I.S.M.E. 2013;8:469–477. doi: 10.1038/ismej.2013.157. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 62.Erkosar B, Storelli G, Defaye A, Leulier F. Host-intestinal microbiota mutualism: learning on the fly. Cell Host Microbe. 2013;13:8–14. doi: 10.1016/j.chom.2012.12.004. [DOI] [PubMed] [Google Scholar]
  • 63.Vijendravarma RK, et al. Gut physiology mediates a trade-off between adaptation to malnutrition and susceptibility to food-borne pathogens. Ecology Letters. 2015;18:1078–1086. doi: 10.1111/ele.12490. [DOI] [PubMed] [Google Scholar]
  • 64.Benton R, Sachse S, Michnick SW, Vosshall LB. Atypical membrane topology and heteromeric function of Drosophila odorant receptors in vivo. PLoS Biol. 2006;4:e20. doi: 10.1371/journal.pbio.0040020. [DOI] [PMC free article] [PubMed] [Google Scholar]

Associated Data

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

Supplementary Materials


Articles from Scientific Reports are provided here courtesy of Nature Publishing Group

RESOURCES