Results
Drosophilidae species: During the first experimental period, seven species of the genus Drosophila were captured, D. immigrans (one female individual), D. kuntzei (3 specimens; 1 ♂, 2 ♀), D. melanogaster (5 ♂), D. obscura (2 ♂), D. simulans (142 specimens, 64 ♂ and 78 ♀), D. subobscura (10; 3 ♂, 7 ♀) and D. suzukii (136 individuals, of these 58 ♂ and 78 ♀).
Within the time span of the second experiment, six species were found, D. kuntzei (12; 3 ♂, 9 ♀), D. melanogaster (12; 9 ♂, 3♀), D. simulans (58; 28 ♂ and 30 ♀), D. subobscura (34; 15 ♂, 19 ♀), D. suzukii (209; 92 ♂ and 117 ♀) and D. testacea (5; 3 ♂, 2 ♀).
The following six species were detected in the third experiment:
D. kuntzei (4; 3 ♂, 1 ♀),
D. melanogaster (2; 1 ♂, 1♀),
D. simulans (51; 25 ♂ and 26 ♀),
D. subobscura (6; 6 ♀),
D. suzukii (42; 19 ♂ and 23 ♀) and
D. tristis (1♂). A total of nine species were caught (
Figure 3).
A sufficient number of individuals for a statistical analysis was only available for the two species
D. simulans and
D. suzukii, which, apart from
D. melanogaster, are also the species of greatest importance for wine production. For
D. simulans, the first test date is particularly important, as more individuals were caught here than in the other two combined. The sex ratio is relatively balanced, with slightly more females caught overall. Most individuals of
D. suzukii were collected on the second date and the females clearly predominated. However, almost the same number of individuals of
D. suzukii were caught on the first date as of
D. simulans.
D. suzukii is therefore the most common species in the traps overall, but not necessarily in the habitat, as the attractant traps were presumably differently appealing to the different species. The comparison of the arithmetic mean in
Figure 4 suggests for the two most common species that the number of individuals caught and thus presumably the attractiveness of the attractant increases with increasing fermentation time up to the eighth day, after which there tends to be a decrease.
However, the figures also show that the range of variation is quite high and the difference between the median and arithmetic mean is often significant, which indicates that the data are often not normally distributed. A precise statistical analysis is therefore required, the results of which are presented in the supplement and summarised in the following. Females and males should also be analysed separately, because although both are searching for food, males are also actively searching for females and mated females for laying sites, i.e. different preferences may exist.
Comparison of the variants for all species and all dates: A total of five replicates per variant, five variants and three dates are available, i.e. the sample consists of 75 data and 15 per variant. In variant 5 (V5) an average of 2.53 individuals were collected, in variant 4 (V4) an average of nine and in the others an average of more than 11.6 specimens. According to ANOVA, there is a highly significant difference between the variants (Supplement 1), the Multiple Range Test (95% LSD) recognises two homogeneous groups, V5 on the one hand and all others on the other, i.e. V5 differs from all other variants at the significance level of 0.05.
The mean number of males per variant is of course lower, 1.2 for V5, between 4.13 and 4.87 for V1, V3 and V4. V2 has the most males per sample with an average of 7.13. In general, there is a highly significant difference between the variants (ANOVA), with V5 differing significantly from all others, as well as V2 from V4.
The mean value of captured females for V5 is 1.33, for V4 five and for all others 6.8 or more. ANOVA shows a highly significant difference and the Multiple Range Test shows that V5 differs significantly from all other variants. A total of 735 individuals were caught.
Comparison of the variants for all species at the first date: the sample size here is 25. The mean number of individuals per sample is less than one for V5, nine for V4 and more than 13.8 for all others, with V2 representing the highest value with an average of more than 20 specimens per sample. With p=0.0, ANOVA recognises an extremely clear difference between the variants, with V5 differing significantly from all other variants, V2 additionally from V4.
In V5 no males of Drosophila sp. were caught, in V4 on average 3.8, in V3 about five, in V4 seven and in V2 10.6. According to ANOVA (p=0.0) the variants differed highly significantly from each other, V5 significantly from all others, furthermore V2 from V3 and V4 (Multiple Range Test).
V5 traps contained on average less than one female, V4 on average 5.4, V3 and V1 8.6 and V2 ten individuals. The variants differed highly significantly (ANOVA p=0.0004), although only V5 stood out clearly from the others (multiple mean comparison for transformed data).
A total of 299 individuals were collected on the first date.
Comparison of the variants for all species at the second date: The sample size is 25. On average, three specimens were caught in the V5 traps on this date, and 15 to more than 16 in the others. ANOVA and multiple mean comparison show that V5 differs highly significantly from all other variants. This difference between the variants also remains when males and females are considered separately. 330 individuals were caught on the second date in all samples.
Comparison of the variants for the species as a whole on the third date: 25 sample values are available. The lowest average number of individuals on this date was not found in V5 (four specimens), but in V4 (2.2 individuals), although the highest number was again found in V2 (6.2 individuals on average). According to ANOVA, however, this difference is not significant (p=0.055 for transformed data). This contradicts the Multiple Range Test, which found a significant difference between V1 and V2, V2 and V4, and V3 and V4.
The discrepancy in the test results is also evident if only the males are considered. According to ANOVA, p=0.28 (for transformed data p=0.14), i.e. clearly not significant, while the Multiple Range Test recognises a significant difference between V2 and V4.
As far as the females are concerned, however, there is no contradiction in the evaluation of the two test methods; there is no significant difference between the variants.
On the third date, a total of 106 individuals belonging to the genus Drosophila were found in all samples.
Of this species, 142 specimens were caught on the first test date, 58 on the second and 51 on the third (total: 251).
Comparison of the variants for D. simulans and all dates ("pooled" data): The sample size is 75, with variant 5 having the lowest mean number of individuals (0.8) and V2 the highest, with more than an average of six specimens per sample. V4 is slightly below V3 and V1 in terms of the mean number of individuals. ANOVA indicates a very significant difference between the variants (p=0.0016 for transformed data). V5 differs significantly from V1 to V3, and additionally V2 from V4.
As the data concerning the males of this species are neither normally distributed nor homogeneous in variance (not even the transformed ones), the Kruskal-Wallis test is used here. The variants accordingly differ significantly (p=0.001). The random-resample rank test for the pairwise comparison indicates significant differences for V1 vs. V5 (p=0.011), V2 vs. V3 (p=0.021), V2 vs. V4 (p=0.01) and V2 vs. V5 (p=0.0). Here, too, V2 (particularly high values) and V5 (particularly low) are clearly different from the others.
The variants also differ significantly with regard to the females (ANOVA p=0.033 for transformed data). Significant differences are found after the Multiple Range Test for all variants compared to V5 with the exception of V4.
Comparison of the variants for D. simulans at the first date: The sample size is 25 for five variants. The mean number of individuals caught per trap differs greatly between the variants; it is less than one specimen in V5 and more than eleven specimens in V2 (
Figure 3). The difference is significant (ANOVA p=0.011 for transformed data). The Multiple Range Test recognises significance between V5 and V1 to V3 on the one hand and between V2 and V4 on the other.
Not a single male was caught in the V5 traps, whereas an average of 6.6 were caught in those of V2. The variants differed significantly in terms of frequency (ANOVA for transformed data p=0.0018). Pair differences that are statistically significant are found for V5 and V1 to V3 on the one hand, and for V2 and V3 or V4 on the other.
In contrast, the capture frequencies of the females in the variants are not significantly different (ANOVA for transformed data p=0.06), although here too there is a discrepancy with the Multiple Range Test, which calculates significant differences for the pairs V5 vs. V1, V5 vs. V2 and V5 vs. V3. As more females were caught (78) than males (64), the less pronounced difference in the females is certainly not due to insufficient capture numbers.
Comparison of the variants for D. simulans on the second date: Considerably fewer D. simulans were caught in the second trial (58) than in the first (142) and the conditions for a statistical evaluation are correspondingly less favourable. The diversity of the variants is less pronounced and the average number of individuals caught only varies between 0.4 for V5 and 3.2 for V1 and V4. There is no significant difference for the total number of individuals, neither for the transformed nor for the original data after ANOVA, although for the former the Multiple Range Test for V1 vs. V5, as well as for V4 vs. V5 recognises significance.
The test requirements are not met for the males, not even for the transformed data, and therefore only the Kruskal-Wallist test is meaningful. According to this test, the variants differ significantly from each other (p=0.0022). The random-resample rank test shows significant differences for V5 and all other variants, with the exception of V2; p=0.055 for this pair and p=0.016 for all others.
Although approximately the same number of females (30) as males (28) were caught, none of the tests showed a significant difference between two variants for females. The Multiple Range Test therefore only recognises one homogeneous group, V1-V5.
Comparison of the variants for D. simulans at the third date: even fewer individuals of this species were caught at this time than at the previous dates, namely only 51. The differences are nevertheless somewhat more pronounced, with an average of 0.6 individuals caught in V5 traps and four in V2 traps. According to ANOVA, the discrepancy is significant (p=0.036 for the original data). It is primarily V2 that differs significantly from all others with the exception of V3.
However, if the sexes are analysed separately, ANOVA finds no significant differences between the variants. For the males, the Multiple Range Test between the variants V2 and V4 recognises significance, for the females both for V2 vs. V4 and for V2 vs. V5.
Of this species, 136 specimens were caught on the first trial date, 209 on the second and 42 on the third (total: 387).
Comparison of the variants for D. suzukii and all dates ("pooled" data): In V5 traps there are on average about one and a half animals, in all others about six. V2 is not the variant with the most animals. ANOVA for the transformed data shows that there is a significant difference between the variants (p=0.003), with only variant five standing out from all others according to the Multiple Range Test.
With regard to the males of this species, the test results are inconsistent, as on the one hand ANOVA for the transformed data (the original data do not fulfil all test requirements) does not detect any significant differences between the variants (p=0.052), but on the other hand the Multiple Range Test shows statistical differences, namely between V5 vs. V1 to V3.
The situation is clearer for the females. A significant difference is confirmed for both the original and the transformed data (for the latter more clearly: p=0.0036). Once again, it is variant five that differs from all others.
Comparison of the variants for D. suzukii at the first date: At the time of the first experimental repetition, V2 dominated in terms of the mean number of individuals per trap with 7.6 individuals, although not very clearly, and V5 with 0.2 individuals (maximum: 1) showed the lowest density, followed by V4 with 5.8 (
Figure 4, right). The test requirements for parametric test procedures are not met for either the original data or the transformed data, so that only the Kruskal-Wallis test is meaningful. The result is a moderate significance of p=0.015. This analysis was supplemented by a non-parametric pairwise comparison (random-resample rank test), according to which V5 differs significantly from all other variants, but there are no significant differences beyond this.
Not a single male was found in the fifth variant and accordingly this also differs significantly from all others. There are no further statistic differences. The significance value of ANOVA for the transformed data is p=0.0001.
With regard to the frequency of females, only the Kruskal-Wallis test is meaningful because neither the original nor the transformed data are normally distributed. The variants accordingly differ significantly (p=0.02). A rank test (random-resample) was carried out for the pair comparison and showed that the variants V1 to V4 differ significantly from V5 (least V4 vs. V5: p=0.016, otherwise p=0.008). Although the differences between the variants are somewhat less pronounced in the females, this is not a consequence of the capture numbers, which reached 78 specimens for the females but only 58 individuals for the males.
Comparison of the variants for D. suzukii on the second date: Variant 5 had an average of only two individuals, whereas with the exception of variant 2 (eight specimens), the others had more than ten. For the transformed data, there is a very significant difference between the variants when males and females are considered together (ANOVA p=0.0019). V5 differs significantly from all other variants (Multiple Range Test 95% LSD), there are no other significant differences.
When analysing the males alone, there are contradictions in the results between the test methods. ANOVA shows that there are no significant differences between the variants, whereas the Multiple Range Test shows a statistically significant difference between V3 and V5.
For the females, ANOVA shows a highly significant difference between the variants (p=0.0004 for the transformed data), with only V5 differing significantly from the rest of the variants (Multiple Range Test).
Comparison of the variants for D. suzukii on the third date: Regardless of whether males and females are analysed together or separately, no significant difference can be found between the variants for D. suzukii on the third date. This may be at least partly due to the small number of only 42 individuals caught.
The following
Table 4 summarises the results of the statistical analyses.
It is possible that the males of D. simulans and the females of D. suzukii react more strongly to the difference between the variants, but further investigations are certainly necessary to clarify this. V5 is the grape juice that is still unfermented or at the beginning of fermentation. For D. simulans, but possibly not for D. suzukii, V2 seems to be particularly attractive, at least for the males of this species. In this variant, the grape juice was transferred on the seventh day after fermentation began at 20°C in the laboratory, to the field, where it remained for one and a half days, albeit at lower temperatures. At this point, the fermenting liquid no longer smells distinctly of grape juice and stormy fermentation has usually already begun. In any case, it follows from what has been discussed so far that if grape juice is used as an attracting liquid, wine yeast should be added to it and it should not be applied right at the start of fermentation unless the trap remains in the field for a long time.
Table 4 also shows that the trial date had an influence on the test result, with the third date being the least significant. If this is weather-related, it is not due to the temperature, as this was highest on the third date, while the total capture numbers were lowest. The cloud cover was highest during the first date, which may have had a positive effect, as did the light precipitation. The wind may also have played a role, albeit an ambivalent one; at higher speeds, the navigation of the very small animals may be impaired, but on the other hand, if the wind is blowing in the right direction, the aromatic substances are dispersed further with the air and can thus attract them over greater distances. On the first trial date, the prevailing wind direction in the early afternoon and evening was from north-west to south-east or from west to east, i.e. towards the herbaceous vegetation and foliage which was mainly east of the traps; as was the case on the first day of the second trial date, but not on the following day, when the wind had blown from east to west and thus the aromatic substances towards the open area of the vineyard edge. On the third date, the wind was generally from the east, i.e. away from the tall vegetation at the edge of the forest. The wind speed was generally moderate (
Table 3), up to 28km/h. It was lowest on the second date.
In addition to the weather during the experimental period, other factors can also influence the attractiveness, e.g. malfermentation in the attractant or changing preferences of successive generations over the course of the year, which could perhaps be caused by the decreasing day length.
The aroma composition of the fermenting grape juice: 68 volatile substances were selected for the aroma analysis of the Pinot Blanc grape juice as well as the wine and the intermediate stages produced during fermentation and used in the field trials (
Table 5). In chemical terms, these are aldehydes, terpenes, ketones, ethers, alcohols, carboxylic acids, methyl and ethyl esters, acetic acid and other esters. In
Table 5, they are classified according to the odour perception that they trigger in isolation in the majority of humans - almost nothing is known about the perception of
Drosophila. The samples were taken daily for 20 days, numbered consecutively (No. 1 is the unfermented grape juice) and analysed as described in the methods section. The change in the flavour spectrum before and after fermentation was reconstructed according to
Table 5 and is shown in
Figure 5.
As can be seen, the flavour develops into greater variety, with fruity notes in particular, but a less desirable component is also present ("fusel").
Figure 6 shows the multivariate analysis (PCA) of the development of the aroma composition of the fermenting grape juice. The large difference between the second and third day along the second principal component (PC2) is striking. More relevant, however, is the change along PC1, which remains high from the second to the eighth day (PC1 explains 67.2% of the variance in the data, PC2 only 17.7%). After that, the aroma changes only slowly. On days one and two of fermentation, the attractor liquid corresponds to experimental variant 5, days three and four V4, five and six V3, seven and eight V2 and finally nine and ten V1.
In the following two figures, the aroma components were sorted according to their significance for the positioning of the fermenting grape juices along PC1 and PC2. The fermenting grape juices are positioned along PC1 according to the equation:
 |
(1) |
where xi corresponds to the SIM area of the i-th aroma substance (n is the number of components) and for each component it applies that a larger SIM area also corresponds to a larger aroma concentration. y1 is the value of grape juice on the PC1 axis. The larger the amount of the constant a1i calculated by the PCA algorithm, the more important the substance is for positioning. The sign provides additional information as to whether the SIM area of the component in the fermenting grape juice is relatively high or low. The same applies to y2, the positioning along PC2.
According to the statistical analysis summarized in
Table 4, variant V5 (days 1 and 2 of fermentation) shows the lowest attractiveness for both
D. simulans and
D. suzukii males as well as females. It is therefore unlikely that the aromatic substances contained in the blue rectangle in
Figure 7 are particularly attractive to these species. These are hexanols and hexenols, β-damascenone, vitispiran, decanone, hexanal and furfural. However, almost any of the substances included in the red rectangle could, individually or in combination, have an attracting effect on the two
Drosophila species. In this context, it would of course be interesting to know how attractive the wine, i.e. the grape juice that had finished fermenting, would have been compared to the grape juice that was still fermenting. The Pinot Blanc wine was not included in the experiment, but a study by Tiefenbrunner & Tiefenbrunner in 2017 showed that the wine has no greater appeal than the still unfermented grape juice and it follows that aroma components not typical for the wine but for fermenting grape juice are likely important.
It is easier to deal with the statistical statement that
D. simulans males seem to particularly prefer variant V2 (seventh and eighth day of fermentation) and that, according to
Figure 4, the frequency of the two
Drosophila species seems to increase in the traps with attractant liquid that fermented for a longer period of time until the state of V2 has been reached (although the latter is not statistically proven). This clearly suggests that the aroma components that are most attractive are those that are particularly highly concentrated between day 3 and day 8, but especially around the seventh and eighth day of fermentation. The corresponding fermenting grape juices have particularly high values along the PC2 axis, which is why it makes sense to look at an aromagram sorted accordingly. There is also another reason for this, namely plausibility: species that feed on yeast such as
Saccharomyces cerevisiae and closely related species should be particularly strongly attracted to yeast activity and this is higher in fermenting grape juice than in both unfermented grape juice and wine.
Figure 8 shows an aromagram sorted by PC2.
A particularly promising aroma component in the sense discussed is hexyl acetate (Acetic acid, hexyl ester) (
Figure 7, right in the red framed area), a substance that triggers a pleasant, sweet, fruity, pear-like odour sensation in most people. It was maximally concentrated around the eighth day of fermentation. The same applies to 3-hexenyl acetate (3-hexen-1-ol, acetate), an ester also found in leaves and berries with fungicidal (but obviously not against yeasts) and bactericidal effects. The substance smells of green fruits (
Table 5). It also reached its maximum concentration on the eighth day of fermentation, which also applies to 2-ethylhexyl acetate. However, this carbon ester is not particularly volatile and therefore less suitable as an attractant. A concentration peak around the eighth day also has isopentyl hexanoate, a substance that smells like banana, heptyl acetate (acetic acid, heptyl ester), which also smells pleasantly of fruit, and isobutyl acetate (banana aroma).
Some other aroma components also have their maximum concentration around the eighth to tenth day of fermentation (red framed area in
Figure 8) and should therefore not be neglected in further investigations. Because of their slightly later peak, they are perhaps better suited to explain the preference for V2 by
D. simulans than a general attractiveness within the period from the third to the eighth day of fermentation. However, there is then a need to explain why the attractiveness does not remain longer.
Further investigations could consist of presenting the substances described as suitable in the previous text individually or in combination in the field at different times and in several concentration levels in the experimental setup used here. This has already happened insofar as 50 substances were examined that only partially correspond to those listed in
Table 5. The greatest attractiveness for
D. suzukii in this experiment showed geranyl acetate, which was not examined in this publication. However, this result is not statistically significant.
Another aspect that should also be investigated in this context is the interaction between the perception of aroma substances and CO2. Carbon dioxide can trigger both attraction and aversion in Drosophila (Faucher et al. 2006, 2013; Jones et al. 2007; van Breugel et al. 2018) and, at least in the vicinity of the traps, it could enhance the attraction effect of the volatile fermentation products.