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Insects 2017, 8(1), 20; doi:10.3390/insects8010020

Article
Cold Ambient Temperature Promotes Nosema spp. Intensity in Honey Bees (Apis mellifera)
1
Institute of Bee Health, Vetsuisse Faculty, University of Bern, Bern 3003, Switzerland
2
Agroscope, Swiss Bee Research Centre, Bern 3003, Switzerland
3
Department of Entomology & Plant Pathology, Auburn University, Auburn, AL 36849, USA
*
Author to whom correspondence should be addressed.
Academic Editors: Steven Cook and Jay Daniel Evans
Received: 20 October 2016 / Accepted: 20 January 2017 / Published: 9 February 2017

Abstract

:
Interactions between parasites and environmental factors have been implicated in the loss of managed Western honey bee (=HB, Apis mellifera) colonies. Although laboratory data suggest that cold temperature may limit the spread of Nosema ceranae, an invasive species and now ubiquitous endoparasite of Western HBs, the impact of weather conditions on the distribution of this microsporidian in the field is poorly understood. Here, we conducted a survey for Nosema spp. using 18 Swiss apiaries (four colonies per apiary) over a period of up to 18 months. Samples consisting of 60 workers were collected monthly from each colony to estimate Nosema spp. intensity, i.e., the number of spores in positive samples using microscopy. Ambient apiary temperature was measured daily to estimate the proportion of days enabling HB flight (>10 °C at midday). The results show that Nosema spp. intensities were negatively correlated with the proportion of days enabling HB flight, thereby suggesting a significant and unexpected positive impact of cold ambient temperature on intensities, probably via regulation of defecation opportunities for infected hosts.
Keywords:
Nosema spp.; parasite intensity; temperature; weather; microsporidian infection; Apis mellifera

1. Introduction

Parasites have been identified as one threat to the health of managed Western honey bee colonies, Apis mellifera [1,2,3], which have faced increased winter losses in recent years in the northern hemisphere [4,5]. Such host–parasite systems can be influenced by numerous biotic and abiotic factors (e.g., genetics, host immunity, temperature and climate, respectively, [6,7,8,9]). Environmental conditions can exert a direct impact on the parasite [10,11] or indirectly influence them by altering host behavior, immunity or physiology [12]. This can include parasite prevalence and intensity as two standard measures to describe parasite presence and distribution. While prevalence refers to the proportion of infected hosts, intensity describes the number of parasites living in an infected host [13].
The Western honey bee can act as the host of multiple parasites [1], ranging from ectoparasites such as Varroa destructor [14] and Tropilaelaps mercedesae [15] to endoparasites, such as various bee viruses [1,14,16,17] and microsporidia Nosema spp. [16,18]. Among environmental factors, temperature is a key element for the life cycle of honey bees in temperate regions [19,20]. During the warm spring and summer months, honey bee colonies reproduce, forage and build up energy stores, whereas they spend the cold months overwintering in the hive with a reduced number of adult workers [19]. Because brood requires a constant temperature of 34.5 °C, and because active heating is costly in terms of energy that requires foraging opportunities, the colony is usually broodless during winter [19]. By influencing the annual life cycle of the honey bee colony, temperature can also have a tremendous effect on its parasites. For example, the ectoparasitic mite Varroa destructor requires capped honey bee brood cells for reproduction [14]. The temperature-dependent broodless period in colonies has therefore a strong effect on this parasite’s development. In contrast, the impact of weather conditions on endoparasites may be less obvious. The two microsporidians, Nosema apis and Nosema ceranae, are both obligatory intracellular gut parasites of A. mellifera [16,21,22] that are mainly transmitted via the fecal-oral route [16,23]. After intake of Nosema spp. spores per os, endothelial midgut cells are infected by the injection of infective sporoplasm via a polar filament, a highly specialized feature for host infection [16,24]. After rapid reproduction of spores in the midgut of an infected honey bee, the spores are discarded with the feces to potentially infect new hosts. While Nosema spp. spores encounter fairly regulated temperatures during their life stages within the host, they are exposed to outside temperature in the course of transmission to new hosts. The two Nosema species exhibit a differential sensitivity to temperatures, with N. ceranae showing better adaptation to elevated temperatures [10,25,26]. However, N. ceranae spores lose viability after 1 week at −18 °C, and are more vulnerable to low temperatures compared to N. apis [16]. This may be a potential explanation for the observed tendency of N. apis to be more prevalent in temperate, northern countries compared to N. ceranae, which is more prevalent in sub-tropical, southern countries [16]. While both Nosema species have been detected in Swiss honey bee colonies in the past [27,28,29], N. ceranae appears to be much more prevalent; in a recent survey, all 29 colonies were infected with only N. ceranae [28].
While seasonal patterns, with a characteristic peak in spring, have repeatedly been described for infection with N. apis (e.g., [30,31]), there is no conclusive evidence of whether N. ceranae follows a similar seasonal cycle (e.g., [29] vs. [32]). A recent study of N. ceranae intensities in tropical and subtropical climates of Taiwan has reported one clear peak in winter and a significant negative correlation of infection intensities with temperature [33]. In contrast, no effects of temperature on Nosema intensities were found in feral colonies in temperate climates [34]. For N. apis, it has been suggested that higher infections in spring might be the result of low winter temperatures in temperate climates [18]. Since honey bees do generally not fly at temperatures below 9 °C [35] and do not forage below 12 °C [19], workers may remain in the hive for numerous weeks or even months during winter. As part of social immunity, honey bees undertake cleansing flights to defecate exclusively outside of the hives [19], presumably to limit the fecal-oral transmission route of parasites. Thus, honey bees can store feces in their rectum for an extended time period until outside conditions allow them to fly [19]. In this context, ambient temperature and the possibility to defecate not only influence Nosema spp. prevalence in the colony, but also Nosema intensity in the infected honey bees by accumulation of spores in infected individuals [36,37,38]. However, it is not known how honey bee flight days influence Nosema spp. population dynamics.
Therefore, the aim of this study was to investigate the potential influence of ambient temperature on Nosema spp. intensity in managed honey bee workers. According to the hypothesis that cold ambient temperature might prevent workers from performing defecation flights, we would expect to find higher Nosema spp. intensities during lower temperatures. To investigate this question, we monitored Nosema spp. intensities in pooled worker samples from 72 Swiss colonies over two years, and simultaneously measured ambient apiary temperatures. The measured midday temperatures were used to estimate flight day proportions for the colonies of each apiary.

2. Materials and Methods

2.1. Sampling

The study was conducted throughout Switzerland from April 2011 to October 2012 in cooperation with 18 beekeepers (2010–2011: 15, 2012: 18). Each beekeeper was instructed to randomly choose four colonies from the same apiary, and to collect adult worker samples from these same colonies during the entire study period. In case of a colony loss, the experimental colony was replaced with a new one from the same apiary. The sampling took place once during the last week of every month from April to October, and if possible once or twice during winter (i.e., samples Winter I and Winter II). From each colony, the beekeepers sampled ~100 live adult workers from an outer honey frame to avoid the collection of young bees that may not have been exposed to Nosema spp. or that may not have had the opportunity to develop a potential infection yet. The workers were sampled in-hive to enable sampling during all weather conditions, as well as during colder months. The samples were stored in freezers maintained at −20 °C, except when transported on ice to the laboratory.

2.2. Nosema spp. Spore Quantification and Species Identification

For each sample, pools of 60 randomly selected workers were analyzed to detect an infection level of 5% with a probability of 95% [39,40]. The whole workers were manually crushed with a porcelain mortar in 15 mL of TN buffer (= 10 mM Tris 0.4 M NaCl, , pH 7.2) using plastic extraction bags (type Universal 12 × 14 cm, Bioreba, Reinach, Switzerland), and stored at −20 °C in 2 mL Eppendorf tubes. Nosema spp. spores were quantified under a light microscope (Laborlux K, Leitz, Wetzlar, Germany) using a bright-lined haemacytometer (Thoma, L.O. Labor Optik, Friedrichsdorf, Germany) at a magnification level of 400× according to Cantwell (1970); they were expressed as mean numbers of Nosema spp. spores/bee [41,42]. Nosema species was identified in a defined subsample (samples from April (2011 N = 60, 2012 (N = 50)), June (2011 N = 55, 2012 N = 70) and October (2011 N = 38, 2012 N = 57) of both years) using PCR. First, DNA was extracted from the suspension using a DNA extraction kit (NucleoSpin® DNA Tissue, Macherey Nagel, Oensingen, Switzerland) following user manual instructions. For PCR, samples were run in duplicate and specific primers were used for the detection of N. ceranae and N. apis [43].

2.3. Temperature and Honey Bee Flight Days

The temperature at each apiary was recorded daily at midday (12.00) from April 2011 to October 2012 using DS1923 Hygrochron dataloggers (iButton from Embedded Data systems, Lawrenceburg, KY, USA). Based on reports that bees usually do not fly <9 °C [35], and only begin to forage at ~12 °C [19], bees were considered able to fly when the recorded midday temperature was above 10 °C. Using this threshold, the proportion of flight days was calculated for each apiary for four time periods (i.e., one, two, three, and four weeks) prior to sampling. Because no dates were pre-defined for the collection of the winter samples, the time intervals for the calculation of flight days were individually adapted to the sampling month of each winter sample. For each of the defined time periods, colonies were then divided into two groups: (1) 100% flight days (i.e., midday temperatures always above threshold of 10 °C) and (2) less than 100% of flight days (i.e., midday temperatures not always above threshold of 10 °C). These categories were selected because of two reasons; first, to investigate whether relatively small differences in flight day proportions can affect parasite intensity and second, to obtain two balanced groups based on the obtained data distribution of flight day proportions (data were not normally distributed, Kolmogorov-Smirnov tests, ps > 0.05). The Nosema spp. intensities of the two categories were then compared separately for each time period. Furthermore, analyses were conducted for several incremental flight day opportunities (i.e., ≥90% vs. <90%, ≥75% vs. <75%, and ≥50% vs. <50%). Additionally, potential associations of Nosema spp. intensities for all flight day thresholds for the four time intervals, as well as the average monthly midday temperatures, were assessed.

2.4. Statistical Analyses

Intensity refers to the number of detected spores in the Nosema spp. positive colonies expressed as mean number of Nosema spp. spores/bee. Since intensity and flight day proportion data were not normally distributed (Kolmogorov-Smirnov tests, all ps > 0.05), non-parametric tests were applied. Nosema spp. intensity data were compared between sampling months using a Kruskal-Wallis ANOVA, followed by Bonferroni multiple comparison tests. For flight days, the Nosema spp. intensities of the infected colonies were compared among two groups (separately for 100% of flight days vs. <100% of flight days, ≥90% vs. <90%, ≥75% vs. <75 of flight days, and ≥50% vs. <50% of flight days) using the Wilcoxon rank sum test. Additionally, comparisons of the 100% flight day threshold were conducted with apiary as the experimental unit. Relationships between Nosema spp. intensities and the proportion of flight days of different time intervals were calculated using the Spearman rank correlation. Similarly, a potential association of Nosema spp. intensity and average monthly ambient midday temperature of all samples of the entire study period was assessed using the Spearman rank correlation. p-values below 0.05 were considered significant. All statistical analyses were carried out using the program NCSS 10.

3. Results

In total, Nosema spp. spores were detected in 420 out of 900 (46.7%) pooled worker samples investigated (2011: Winter I: N = 10, Winter II: N = 9, April: N = 35, May: N = 27, June: N = 20, July: N = 33, August: N = 23, September: N = 15, October: N = 13; 2012: Winter I: N = 7, Winter II: N = 3, April: N = 32, May: N = 40, June: N = 46, July: N = 37, August: N = 29, September: N = 25, October: N = 16).

3.1. Nosema spp. Intensity and Species Identification

Median Nosema spp. intensities of the infected colonies during the whole study period were 0.2–4.2 × 106 spores/bee (Figure 1, Supplementary Material Dataset 1 Nosema spp. intensity). On the apiary level, the median spore intensities for the sampling months ranged from 0.17 to 2.75 × 106 spores/bee. The comparison of Nosema spp. intensities for the different sampling months showed significantly higher values in the Winter I samples (median: sample Winter 1 2011: 0.825 × 106 spores/bee, Winter 1 2012: 4.2 × 106 spores/bee) than in 11 other sampling months (Winter I sample from 2011) and in all other sampling months (Winter I sample from 2012), respectively (Kruskal-Wallis ANOVA, Bonferroni multiple comparison tests, p < 0.05, Figure 1). Additionally, higher Nosema spp. intensity was detected in April 2012 compared to July 2011 (Kruskal-Wallis ANOVA, Bonferroni multiple comparison test, p < 0.05), but samples from April 2011 and Winter II, May, June, July, August, September and October from both years showed no significant differences (Kruskal-Wallis ANOVA, Bonferroni multiple comparison tests, p > 0.05, Figure 1).
In the analyzed subsample, Nosema spp. was detected in 57.6% of the samples. Of the Nosema positive samples, 89.47% of the samples contained N. ceranae only, 4.21% of the samples N. apis only and 6.32% both Nosema species.

3.2. Association of Flight Days with Nosema spp. Intensity

Considering the measures that were taken during 4 weeks prior to sample collection, 74.27% of the colonies from which samples were collected experienced 100% flight days, while 25.73% were assigned to the group with less than 100% flight days. In the latter group, the median flight day proportion was 68%, and quartiles Q1 and Q3 were 53% and 92%, respectively. Comparison of Nosema spp. intensities in the colonies that experienced 100% flight days to those with less than 100% showed significantly higher Nosema spp. intensities in the colonies with less than 100% of flight days for all investigated time periods (Wilcoxon rank sum test, four, three and two weeks prior to sampling: all ps < 0.0001, one week prior to sampling: p < 0.023, Figure 2). To test whether these results were influenced by the high intensities in the Winter I samples, analyses were repeated with the winter months excluded. This revealed that the Nosema spp. intensities between the two groups were still significantly different (four-two weeks: p < 0.0001, one week: p < 0.015).
Comparisons of Nosema spp. intensities in colonies using 90% and 75% flight day thresholds showed significantly higher Nosema spp. intensities in the colonies experiencing flight days below these thresholds compared to above for all investigated time periods (Wilcoxon rank sum test, four, three and two weeks prior to sampling: all ps < 0.01, one week prior to sampling: ps < 0.033, Table 1). No significant difference in Nosema spp. intensity occurred at the 50% flight day threshold (Wilcoxon rank sum test, four, three, two and one week prior to sampling: all ps > 0.066, Table 1).
With apiary as the experimental unit for the 100% flight day threshold, Nosema spp. intensities were significantly lower when flight day proportions were 100% compared to less than 100% at four, three and two weeks prior to sampling (Wilcoxon rank sum test, all ps < 0.01), but not at one week prior to sampling (Wilcoxon rank sum test, p > 0.2, Table 1).
The proportion of flight days and Nosema spp. intensities showed significant negative correlations for all investigated time intervals prior to sampling (Spearman rank correlation, four, three and two weeks prior to sampling: all rs = −0.25 to −0.26, all ps < 0.0001, one week prior sampling: r = −0.13, p < 0.018, Table 1, Supplementary Material Dataset 2 Flight days). Nosema spp. intensities increased as the proportion of flight days decreased. Furthermore, Nosema spp. intensities in Nosema-positive samples from the entire study period (N = 383) showed a significant negative correlation with average monthly midday temperature values (r = −0.1788, p = 0.0004, Table 2, Figure 3, Supplementary Material Dataset 3 Temperature). Similar to the association above, Nosema spp. intensities increased as the average monthly midday temperature values decreased.

4. Discussion

The data revealed a significant influence of the proportion of honey bee flight days on the Nosema spp. intensity in workers. This outcome was consistently observed for flight day proportions measured during four, three, two and one week prior to sampling if colony was used as the experimental unit, as well as for four, three and two weeks prior to sampling on the apiary level. Additionally, flight day proportions, as well as the average ambient apiary temperature showed significant negative correlations with Nosema spp. intensities. The highest parasite intensities were measured in winter.
Molecular analyses confirmed previous studies [27,28], stating that N. ceranae is the predominant Nosema species in Swiss honey bee colonies. Although the two Nosema species exhibit differential sensitivity to temperature [16,44], the life cycles of both parasite species are similar [22,45] and also the excretion of viable spores along with the feces is most probably equal for both Nosema species. Therefore, we would not expect to observe different effects of ambient temperature on parasite intensity, despite the presence of N. apis in 10.53% of the samples.
The observed Nosema spp. intensities (in the range of 0.2 × 106 to 4.2 × 106 spores/bee) seem rather low compared to previous reports of Nosema spp. intensities in fully-infected individual workers (i.e., approx. 30 × 106 spores/bee [46], or even up to 150 × 106 spores/bee [47]). This is probably due to the quantification of the parasite intensity in pooled samples, where the presence of uninfected bees reduced the mean or median value of detected spores. Indeed, in other surveys that used pooled samples for quantification, Nosema spp. intensities were also considerably smaller than intensities in individual bees (e.g., [48,49]). A further aspect that makes comparison between studies more difficult are diverse applied methods [42] concerning sample collection (e.g., [50]), sample size (e.g., [51]) or spore quantification (e.g., [48,50,52,53,54]). In this context, one relevant difference between studies relates to the processing of the experimental workers; while the present study and others (e.g., [50,52,55]) used whole bees to quantify the total amount of Nosema spores in workers, other studies have only used midguts [33] or abdomens (e.g., [34,44]). Even though N. ceranae can be found using DNA methods outside of the hindgut or midgut [56], sporulation is restricted to the midguts, which have more identical limits for holding spores [57,58]. However, hindguts might contain many more spores prior to defecation. Since we measured intensity, which defines the quantity of parasites found in a given sample of hosts [13], it seemed more appropriate to use whole bees to have an accurate measure of the total numbers of parasites (=spores) in the host.
In this study, Nosema spp. intensities showed a trend to higher levels in winter and early spring; this seasonal pattern was consistent for both years. These findings contradict previous reports stating higher intensities in spring (e.g., [49]), but are in line with a recent study from Taiwan that found a peak of honey bee worker midgut N. ceranae intensity in winter, as well as a significant negative correlation between temperature and N. ceranae intensities under local subtropical and tropical conditions [33]. No effect of weather conditions (i.e., temperature and rainfall) on Nosema spp. intensities could be observed in a recent study in feral honey bees which was conducted in a U.S. region with hot summers and cool winters [34].
The tendency to higher intensities in the colder season generally supports the observed association between temperature and Nosema spp. intensities. The restriction of flight days by low ambient temperature correlated significantly with higher Nosema spp. intensities, thereby highlighting that ambient temperature may exhibit a considerable impact on parasite intensity. Observed higher Nosema spp. intensities in winter during our study may be explained by a reduced possibility of bees to fly and defecate during the cold period of the year; this could lead to an accumulation of spores in infected bees [36,59]. The second winter samples were taken towards the end of the winter and might reflect the bees that had at least some opportunities to fly out to defecate. Alternatively, but not mutually exclusive, highly infected individuals may have died prior to the sampling, even though mortality of Nosema spp. infected individuals is not elevated according to a recent study that was conducted under field-realistic conditions [60].
The potential influence of host opportunities to defecate on parasite intensity is supported by the significant differences of Nosema spp. intensities in bees that had 100% versus less than 100% of flight days available to them. The observation that the group of flight days with less than 100% still had a median proportion of 68% suggests that a relatively small difference in flight day proportions can influence Nosema spp. intensity. Indeed, if 90% and 75% were used as thresholds for flight day proportions, the differences are still significant. However, 50% of possible flight days seem to be a switching point; if the workers were able to fly out on half of the available days, the Nosema spp. intensities showed no difference. Calculation of flight day proportions based on the ambient temperature alone may have neglected other potentially influencing factors such as precipitation, wind, or the lack of sufficient solar radiation (e.g., [19,35]). Nevertheless, similar outcomes among the different time periods prior to sampling, similar results if apiary was used as the experimental unit, as well as the correlation between proportions of flight days and Nosema spp. intensities, strongly support the finding that flight days, based on the ambient temperature, exhibit a considerable influence on parasite intensity. A recent comparison of Nosema spp. levels in outdoor- vs. indoor-wintered hives has shown increased levels of parasites over-wintered outdoors, and a decrease in the indoor-wintered hives [61]. Similar to the above-mentioned study, previous reports of a potential impact of temperature on Nosema infections in bees as a result of reduced opportunities to fly out have exclusively focused on winter [62,63,64]. The observed impact of reduced flight days includes not only the extreme scenario in winter, but also the warmer months of the year.
The relationship between Nosema spp. intensity and the average monthly ambient apiary temperature illustrates an interesting pattern of the effects of ambient temperature. While Nosema spp. intensities do not greatly vary within the 15 to 25 °C temperature range, they show broader variations, and particularly high values, around or below 10 °C. This indicates that Nosema spp. intensities in honey bees may be mainly affected in this specific range of temperature, corresponding to the temperature threshold, where bees are considered able to fly [19].
The impact of flight days on parasite intensity and the observed association between ambient temperature and parasite intensity in honey bees suggest a distinct biological mechanism, rather than just an unspecific relationship between cold ambient temperature and Nosema spp. intensity. However, correlation is not causation. Therefore, the lack of defecation opportunities due to restricted flight days as the possible underlying mechanism needs to be empirically verified, e.g., via measuring flight activities of individually labeled and infected workers in combination with Nosema spp. spore quantification in separated midguts and hindguts.
The present study provides new knowledge of how endoparasite populations can be affected by environmental conditions, and helps to further understand parasite-host population dynamics in honey bees. The study demonstrates that low ambient temperature can be advantageous for a parasite population, assuming that higher spore loads enhance future transmission. It also highlights the importance of studying such associations in the field, and not only under laboratory conditions.

5. Conclusions

The present study revealed a significant effect of ambient apiary temperature on the intensity of the endoparasites Nosema spp. in honey bee workers. The comparison of parasite intensities among different flight day proportions (thresholds of 100%, 90% and 75%) showed significantly higher levels when bees could not fly. This observed effect of restricted flight days on parasite intensities could be the result of a lack of defecation opportunities.

Supplementary Materials

Dataset 1 Nosema spp. intensity: Nosema spp. spore count data of the honey bee samples including sampling month and year; Dataset 2 Flight days: Flight day proportion data based on colonies as well as apiaries including proportions for different time periods before sampling, midday temperature measures and Nosema spp. spore counts; Dataset 3 Temperature: Monthly average midday temperatures for the different sampling months and corresponding Nosema spp. spore counts. The supplementary materials are available online at https://www.mdpi.com/2075-4450/8/1/20/s1.

Acknowledgments

We wish to thank the 18 beekeepers for their kind support, as well as Aline Troxler, Daniela Grossar, Pius Winiger and Peter Retschnig for technical assistance. Funding was provided by the EU 7th Framework Programme grant BEEDOC (BEes in Europe and the Decline of Colonies, 244956 CP-FP), the Ricola Foundation Nature and Culture, and the Vinetum foundation to Peter Neumann.

Author Contributions

Gina Retschnig and Peter Neumann conceived and designed the experiments; Gina Retschnig and Annette Schneeberger performed the experiments; Gina Retschnig and Geoffrey R. Williams analyzed the data; Gina Retschnig, Geoffrey R. Williams and Peter Neumann wrote the paper.

Conflicts of Interest

The authors declare no conflict of interest.

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Figure 1. Nosema spp. intensities of all infected colonies (N = 420) per sampling month (N = 3 to 46) over the entire study period. Samples were taken monthly from April to October and once or twice during winter (Winter I and Winter II samples). Nosema spp. intensities were compared using Kruskal–Wallis ANOVA and Bonferroni multi comparison tests. Significant differences (p < 0.05) are indicated by different letters (a,b,c,d). Boxplots show inter-quartile range (block), Median (black line within box) and data range (vertical lines).
Figure 1. Nosema spp. intensities of all infected colonies (N = 420) per sampling month (N = 3 to 46) over the entire study period. Samples were taken monthly from April to October and once or twice during winter (Winter I and Winter II samples). Nosema spp. intensities were compared using Kruskal–Wallis ANOVA and Bonferroni multi comparison tests. Significant differences (p < 0.05) are indicated by different letters (a,b,c,d). Boxplots show inter-quartile range (block), Median (black line within box) and data range (vertical lines).
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Figure 2. Nosema spp. intensities and the proportion of days enabling honey bee flight (>10 °C) in two categories: Colonies that had less than 100% of flight days are compared to colonies that had 100% of flight days and are separately displayed as boxplots for four (A); three (B); two (C) and one (D) week prior to the sampling. For each time period, Nosema spp. intensities were significantly higher in the group with less than 100% of flight days (Wilcoxon rank sum tests, *** = p < 0.001, * = p < 0.05). Boxplots show inter-quartile range (block), Median (black line within box), data range (vertical lines) and outliers (grey dots).
Figure 2. Nosema spp. intensities and the proportion of days enabling honey bee flight (>10 °C) in two categories: Colonies that had less than 100% of flight days are compared to colonies that had 100% of flight days and are separately displayed as boxplots for four (A); three (B); two (C) and one (D) week prior to the sampling. For each time period, Nosema spp. intensities were significantly higher in the group with less than 100% of flight days (Wilcoxon rank sum tests, *** = p < 0.001, * = p < 0.05). Boxplots show inter-quartile range (block), Median (black line within box), data range (vertical lines) and outliers (grey dots).
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Figure 3. Nosema spp. intensities in the investigated honey bee colonies and the average monthly ambient apiary temperature. A significant negative correlation was found (N = 383, Spearman rank correlation, r = −0.1788, p = 0.0004). The association is displayed in a scatter plot with the data points (black points) and a trend line.
Figure 3. Nosema spp. intensities in the investigated honey bee colonies and the average monthly ambient apiary temperature. A significant negative correlation was found (N = 383, Spearman rank correlation, r = −0.1788, p = 0.0004). The association is displayed in a scatter plot with the data points (black points) and a trend line.
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Table 1. Comparisons of median Nosema spp. intensities between different groups of flight day proportions (100%, 90%, 75%, and 50% flight day thresholds) are shown using colony as the experimental unit. The results of the Wilcoxon rank sum tests are displayed including time intervals, median Nosema spp. intensities, sample sizes N (=number of colony samples) and p-values. For apiary as the experimental unit, results are shown for the comparison of parasite intensities in 100% vs. <100% of flight day proportions.
Table 1. Comparisons of median Nosema spp. intensities between different groups of flight day proportions (100%, 90%, 75%, and 50% flight day thresholds) are shown using colony as the experimental unit. The results of the Wilcoxon rank sum tests are displayed including time intervals, median Nosema spp. intensities, sample sizes N (=number of colony samples) and p-values. For apiary as the experimental unit, results are shown for the comparison of parasite intensities in 100% vs. <100% of flight day proportions.
GroupTime IntervalMedian Nosema spp. Intensities (×106)Np-Value
Colony as the Experimental Unit
100% vs. <100%4 weeks b.s. 10.28, 0.48240, 1010.000002 ***
3 weeks b.s. 10.28, 0.50241, 1000.000002 ***
2 weeks b.s. 10.28, 0.58245, 960.000000 ***
1 weeks b.s. 10.33, 0.44287, 540.022882 *
≥90% vs. <90%4 weeks b.s. 1 0.31, 0.44279, 620.000564 ***
3 weeks b.s. 10.31, 0.44275, 660.000251 ***
2 weeks b.s. 10.30, 0.48264, 770.00005 ***
1 weeks b.s. 10.33, 0.44293, 480.027709 *
≥75% vs. <75%4 weeks b.s. 1 0.31, 0.44285, 560.000629 ***
3 weeks b.s. 10.31, 0.45284, 570.000565 ***
2 weeks b.s. 10.31, 0.44292, 490.009982 **
1 weeks b.s. 10.34, 0.44299, 420.032027 *
≥50% vs. <50%4 weeks b.s. 1 0.36, 0.34333, 80.489272
3 weeks b.s. 10.36, 0.36322, 190.683875
2 weeks b.s. 10.34, 0.45320, 210.09639
1 weeks b.s. 10.34, 0.44317, 240.065977
Apiary as the Experimental Unit
100% vs. <100%4 weeks b.s. 1 0.29, 0.4997, 470.00052 ***
3 weeks b.s. 10.31, 0.5398, 460.000472 ***
2 weeks b.s. 10.31, 0.57100, 440.000157 ***
1 weeks b.s. 10.37, 0.43116, 280.205144
1 b.s. = before sampling; * significance level p < 0.05; ** significance level p < 0.01; *** significance level p < 0.001.
Table 2. Correlations between Nosema spp. intensities of the pooled honey bee worker samples and both average monthly ambient midday apiary temperature and proportions of honey bee flight days. The results of the Spearman rank correlations are shown, including time intervals and sample sizes N (=number of colony samples).
Table 2. Correlations between Nosema spp. intensities of the pooled honey bee worker samples and both average monthly ambient midday apiary temperature and proportions of honey bee flight days. The results of the Spearman rank correlations are shown, including time intervals and sample sizes N (=number of colony samples).
CorrelationTime IntervalNSpearman Rank Correlation Coefficientp-Value
Nosema spp. and temperaturewhole study period383−0.17880.0004 ***
Nosema spp. and flight day prop. 14 weeks b.s. 2341−0.24693.96 × 10−6 ***
Nosema spp. and flight day prop. 13 weeks b.s. 2341−0.24853.4 × 10−6 ***
Nosema spp. and flight day prop. 12 weeks b.s. 2341−0.26268.76 × 10−7 ***
Nosema spp. and flight day prop. 11 week b.s. 2341−0.12820.0179 *
1 prop. = proportions; 2 b.s. = before sampling; * significance level p < 0.05; *** significance level p < 0.001.
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