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opencc-by-4.0Apr 2024View details →

Plant metabolites modulate animal social networks and lifespan

Social interactions influence disease spread, information flow, and resource allocation across species, yet heterogeneity in social interaction frequency and its fitness consequences remain poorly understood. Additionally, animals can utilize plant metabolites for purposes beyond nutrition, but whether that shapes social networks is unclear. Here, we investigated how non-nutritive plant metabolites impact social interactions and the lifespan of the turnip sawfly, Athalia rosae. Adult sawflies acquire neo-clerodane diterpenoids ('clerodanoids') from non-food plants, showing intraspecific variation in natural populations and laboratory-reared individuals. Clerodanoids can also be transferred between conspecifics, leading to increased agonistic social interactions. Network analysis indicated increased social interactions in sawfly groups where some or all individuals had prior access to clerodanoids. Social interaction frequency varied with clerodanoid status, with fitness costs including reduced lifespan resulting from increased interactions. Our findings highlight the role of intraspecific variation in the acquisition of non-nutritional plant metabolites in shaping social networks, with fitness implications on individual social niches.

opencc-by-4.0Jul 2024View details →

Three Dimensional Multiscalar Neurovascular Nephron Connectivity Map of the Human Kidney Across the Lifespan - Supporting Movie Files

This is a collection of movies related to the manuscript "Three Dimensional Multiscalar Neurovascular Nephron Connectivity Map of the Human Kidney Across the Lifespan" by McLaughlin et al to describe kidney organization using 3D light sheet fluorescence microscopy.  The preprint manuscript associated with these movies is  Three Dimensional Multiscalar Neurovascular Nephron Connectivity Map of the Human Kidney Across the Lifespan Liam McLaughlin, Bo Zhang, Siddharth Sharma, Amanda L. Knoten, Madhurima Kaushal, Jeffrey M. Purkerson, Heidy Huyck, Gloria S. Pryhuber, Joseph P. Gaut, Sanjay Jain bioRxiv 2024.07.29.605633; doi: <a href="https://doi.org/10.1101/2024.07.29.605633">https://doi.org/10.1101/2024.07.29.605633</a> Movie Legends Movie 1: 3D view of the entire slice showing key structures. 3D light sheet fluorescence microscopy 5x movie of reference adult sample SK3, demonstrating glomeruli, collecting ducts, nerves, and blood vessels. 0:00s — Raw signal. 0:10s — Segmentations. Annotations are in the movie. Movie 2: Relationship of nerves with glomeruli and juxtaglomerular apparatus. The movie depicts innervation of glomeruli in 2D optical sections, containing glomeruli, Tuj1(labels TUBB3)-stained nerves, and CGRP-stained sensory nerves. 0:22s — Innervation of the JGA. 0:33 s— Innervation of the Macula Densa. 0:47s — Innervation of the outer boundary of the Bowman’s Capsules. Movie 3: Neuro-nephron connectivity. The movie explores innervation between different structures of the same nephron, and between nephrons in both 3D and 2D optical sections, containing glomeruli, Tuj1 (TUBB3)-stained nerves, CGRP-stained sensory nerves, proximal (convoluted) tubule, thick ascending limb, distal convoluted tubule, and collecting duct. 0:00-1:53min — 3D relationships. 0:38s — Innervation of glomerulus JGA. 1:02min — Post-JGA innervation of medullary ray structures. 1:54min-end — 2D relationships. 2:38min — Interglomerular/internephron innervation. Movie 4: Neurovascular – nephron patterns in the medulla. The movie shows innervation pattern within the medulla. 0:00s—5x adult medullary innervation pattern in 3D; 0:34s—in 2D also showing Vasa Recta and Collecting Duct; 0:48s—in 3D at 20x resolution. 1:04min—20x adult medullary innervation of proximal tubule, thick ascending limb, and Vasa Recta in 3D; 1:31min—view if the previous in 2D. 2:11min—5x adult medullary innervation pattern in 3D; 2:40min—in 2D also showing Vasa Recta and Collecting Duct; 2:54min—in 3D at 20x resolution; 3:15—in 2D at 20x resolution. Movie 5: Network motifs. Exploring 3D neuroglomerular networks at 5x and 20x resolution. 0:00s — Raw 5x signal from young adult sample SK2. 0:16s— Segmented 5x SK2 with 20x coregistrations. 0:26 — Exploring SK2 20x FOV. 0:38 — 20x network featuring hourglass motif. 1:19 5x “Type I” network in SK2. 1:41 — Segmented 5x adult SK3 sample featuring a “Type 2” network containing a lattice motif. 2:23 — Exploring SK3 20x FOV, featuring a network with a lattice motif. Movie 6: LSFM movie of pediatric kidney 3D lightsheet 5x image of neonatal sample SK414, containing glomeruli, collecting ducts, nerves, and blood vessels. 0:00s — Raw signal. 0:22s — Segmentations. 1:34min — Overlayed segmentations. Movie 7: Neuronephron connectivity time course Exploring neuronephro-networks across a life time course in 1mm3 20x images. 0:00 — Raw neonatal. 0:17sec — Segmented neonatal. 0:47 sec— Raw infant. 0:54 — Segmented infant with network. 1:13min — Raw young adult. 1:23min — Segmented young adult with network. 1:33min — Raw adult. 1:43min — Segmented adult featuring network with keychain motif. 1:49min — Raw aged. 1:59min — Segmented aged with network featuring pyramid motif.   Movie 8: Mother Glomeruli Evaluating distributions and innervation of mother glomeruli in neuroglomerular networks. 0:00 - Large 20x 3D Network sample SK1 FOV8. 0:13 - Sample SK1 5x Network in 2D. 0:36 - Mother glomerulus neural quantifications SK1. 0:41 Large 20x 3D Network sample SK3 FOV12. 0:56. Large 20x 2D Network sample SK3 FOV12. 1:21 - Mother glomerulus neural quantifications SK3.   Movie 9: Segmentations Demonstrating accuracy of segmentations that combine supervised ML with manual validation in Sample SK2 FOV5. 0:00 - AQP2 labelled Collecting Duct and NPHS1 labelled Glomerulus. 0:26 - Tuj1 labelled nerve.   metadata_analyzed_images: Metadata for images that were analyzed. Includes metadata .txt files for all stitched, downsampled samples, as well as .csv metadata for certain raw .czi files (pre-processing).

opencc-by-4.0May 2022View details →

"Centenarians have a diverse population of gut bacteriophages that may promote healthy lifespan" - Genomes and annotation

File-dump associated with the manuscript: "Centenarians have a diverse population of gut bacteriophages that may promote healthy lifespan" (Not yet published) MGVs refer to the viral genome database in the publication: https://www.nature.com/articles/s41564-021-00928-6    Following uploaded: File 1: VOG Markers in vOTUs/vMAGs and MGV genomes File 2: Viral Tree Newick file with vOTUs/vMAGs and MGV genomes File 3: All vOTUs/vMAGs genomes File 4: Master table annotation of vOTUs/vMAGs File 5: Centenarian bacterial isolate proviruses

opencc-by-4.0Jun 2024View details →

Occasional and constant exposure to dietary ethanol shortens the lifespan of worker honey bees

Honey bees (Apis mellifera) are one of the most crucial pollinators, providing vital ecosystem services. Their development and functioning depend on essential nutrients and substances found in the environment. While collecting nectar as a vital carbohydrate source, bees routinely encounter low doses of ethanol from yeast fermentation. Yet, the effects of repeated ethanol exposure on bees' survival and physiology remain poorly understood. Here, we investigate the impacts of constant and occasional consumption of food spiked with 1% ethanol on honey bee mortality and alcohol dehydrogenase (ADH) activity. This ethanol concentration might be tentatively judged close to that in natural conditions. We conducted an experiment in which bees were exposed to three types of long-term diets: constant sugar solution (control group that simulated conditions of no access to ethanol), sugar solution spiked with ethanol every third day (that simulated occasional, infrequent exposure to ethanol) and daily ethanol consumption (simulating constant, routine exposure to ethanol). The results revealed that both constant and occasional ethanol consumption increased the mortality of bees, but only after several days. These mortality rates rose with the frequency of ethanol intake. The ADH activity remained similar in bees from all groups. Our findings indicate that exposure of bees to ethanol carries harmful effects that accumulate over time. Further research is needed to pinpoint the exact ethanol doses ingested with food and exposure frequency in bees in natural conditions.

opencc-by-4.0Oct 2021View details →

Annotated images from yeast cell lifespans - Training & Test sets - DetecDiv (id01)

This dataset has been generated by manual annotation from timelapse images of yeast cells dividing using the DetecDiv software (see below). It contains ~250 000 images from 250 cellular lifespans (each lifespan is made of between 700 and 1000 images). Each image is classified between 6 classes: "1. unbudded", "2. small", "3. large", "4. dead", "5. empty", "6. clog", according to the subfolder of the image. Besides, this folder also contains a .mat file containing 250 timeseries of classes corresponding to the lifespan of the 200 cells.   The dataset used for training (200 cellular lifespans) is in the folder /trainingset, while the dataset used for testing (50cellular lifespans) is in the folder /testset It has been used to train the network <a href="https://doi.org/10.5281/zenodo.5553862">doi.org/10.5281/zenodo.5553862</a> from the software DetecDiv: <a href="https://github.com/gcharvin/DetecDiv">github.com/gcharvin/DetecDiv</a> <a href="https://biorxiv.org/content/10.1101/2021.10.05.463175v1">biorxiv.org/content/10.1101/2021.10.05.463175v1</a>   Data type: 3D microscopy images (3 stacks brightfield) (.tif) + annotation (.mat) Microscopy data type: Brightfield images with 3 stacks, each stack representing a color of RGB. Imaging: 20x 0.45 NA brightfield, 6.5µm*6.5µm sCMOS Cell type: Budding yeast wild type cell (BY4742) File format: .tif (16-bit RGB, 1 color per z-stack) + .mat Image size: 60x60x1 (Pixel size: x,y: 325 nm, 3*z: 3*1325 nm)   Author(s): Théo, ASPERT Contact email: theo.aspert@gmail.com Affiliation: IGBMC, Université de Strasbourg Funding bodies: This work was supported by the Agence Nationale pour la Recherche, the grant ANR-10-LABX-0030-INRT, a French State fund managed by the Agence Nationale de la Recherche under the frame program Investissements d'Avenir ANR-10-IDEX-0002-02.

opencc-zeroApr 2022View details →

Food deprivation exposes sex-specific trade-offs between stress tolerance and lifespan in the copepod Tigriopus californicus

Long life is standardly assumed to be associated with high stress tolerance. Previous work shows that the copepod Tigriopus californicus breaks this rule, with longer lifespan under benign conditions found in males, the sex with lower stress tolerance. Here we extended this previous work, raising animals from the same families in food-replete conditions until adulthood and then transferring them to food-limited conditions until all animals perished. As in previous work, survivorship under food-replete conditions favored males. However, under food deprivation lifespan strongly favored females in all crosses. Compared to benign conditions, average lifespan under nutritional stress was reduced by 47% in males but only 32% in females. Further, the sex-specific mitonuclear effects previously found under benign conditions were erased under food limited conditions. Results thus demonstrate that sex-specific lifespan, including mitonuclear interactions, are highly dependent on nutritional environment.

opencc-zeroApr 2022View details →

A genome-wide test for paternal indirect genetic effects on lifespan in Drosophila melanogaster

Exposing sires to various environmental manipulations has demonstrated that paternal effects can be non-trivial also in species where male investment in offspring is almost exclusively limited to sperm. Whether paternal effects also have a genetic component (i.e. paternal indirect genetic effects - PIGEs) in such species is however largely unknown, primarily because of methodological difficulties separating indirect from direct effects of genes. PIGEs may nevertheless be important, since they have the capacity to contribute to evolutionary change. Here we use Drosophila genetics to construct a breeding design that allows testing nearly complete haploid genomes (>99%) for PIGEs. Using this technique, we estimate the variance in male lifespan due to PIGEs among four populations and compare this to the total paternal genetic variance (the sum of paternal indirect and direct genetic effects). Our results indicate that a substantial part of the total paternal genetic variance results from PIGEs. A screen of 38 haploid genomes, randomly sampled from a single population, suggests that PIGEs also influence variation in lifespan within populations. Collectively, our results demonstrate that PIGEs may constitute an underappreciated source of phenotypic variation.

opencc-zeroJun 2022View details →

Microbiome assembly and maintenance across the lifespan of bumble bee workers

How a host's microbiome changes over its lifespan can influence development and aging. As these temporal patterns have only been described in detail for humans and a handful of other hosts, an important next step is to compare microbiome dynamics across a broader array of host-microbe symbioses, and to investigate how and why they vary. Here we characterize the temporal dynamics and stability of the bumblebee worker gut microbiome. Bumblebees are a useful symbiosis model given their relatively well-understood life history and simple, host-specific gut bacterial communities. Furthermore, microbial dynamics may influence bumblebee health and pollination services. We combined high-temporal-resolution sampling with 16S rRNA gene sequencing, quantitative PCR, and shotgun metagenomics to characterize gut microbiomes over the adult lifespan of Bombus impatiens workers. To understand how hosts may control (or lose control of) the gut microbiome as they age, we also sequenced hindgut transcriptomes. We found that, at the community level, microbiome assembly is highly predictable and similar to patterns of primary succession observed in the human gut. At the same time, partitioning of strain-level bacterial variants among colonies suggests stochastic colonization events similar to those observed in flies and nematodes. We also find strong differences in temporal dynamics among symbiont species, suggesting ecological differences among microbiome members in colonization and persistence. Finally, we show that both the gut microbiome and host transcriptome—including expression of key immunity genes—stabilize, as opposed to senesce, with age. We suggest that in highly social groups such as bumblebees, maintenance of both microbiomes and immunity contribute to the inclusive fitness of workers, and thus remain under selection even in old age. Our findings provide a foundation for exploring the mechanisms and functional outcomes of bee microbiome succession, and for comparative analyses with other host-microbe symbioses.

opencc-zeroMay 2024View details →

Data for: Caloric restriction extends lifespan in a clonal plant

When subjected to dietary caloric restriction (CR), individual animals often outlive well-fed conspecifics. Here, we address whether CR also extends lifespan in plants. Whereas caloric intake in animals comes from ingestion, in plants it derives from photosynthesis. Thus, factors that reduce photosynthesis, such as reduced light intensity, can induce CR. In two lab experiments investigating the aquatic macrophyte Lemna minor, we tracked hundreds of individuals longitudinally, with light intensity – and hence, CR – manipulated using neutral-density filters. In both experiments, CR dramatically increased lifespan through a process of temporal scaling. Moreover, the magnitude of lifespan extension accorded with the assumptions that (a) light intensity positively relates to photosynthesis following Michaelis-Menten kinetics, and (b) photosynthesis negatively relates to lifespan via a power law. Our results emphasize that CR-mediated lifespan extension applies to autotrophs as well as heterotrophs, and suggest that variation in light intensity has quantitatively predictable effects on plant aging trajectories.

opencc-by-4.0Jul 2024View details →

Lifespan Fecundity data for The Combined Effects of Macronutrient Ratios and the chico1 Variant on Life History Traits in Drosophila melanogaster

Data sheets for Lifespan Fecundity data for The Combined Effects of Macronutrient Ratios and the chico1 Variant on Life History Traits in Drosophila melanogaster. Chico_life_extention_ds and Chico_CP_life_extention_REP_ds are data sheets from project one that keep track of deaths that occurred in the experiment.  Deaths of males, deaths of females, and censors were recorded. Hour = hour of collection, Minute = minute of collection, Days_alive = number of days flies have been inside the vials after initial collection, last_flip = day of last time flies were flipped, Label = id of the vial, repl = replicant group, deadF = number of females that died before that days collection, deadM = number of males that died before each collection, cens = number of censors before each collection, counter = person who counted the flies, Year = year of collection, Month = month of collection, Day = day of collection, notes = observations during collection.  LDF_flipping_and_counting_data is a data sheet keeping track of deaths that occured in project two. Deaths of females, males, and censors were recorded. Month = month of collection, Day = day of collection, Year = year of collection, Days_alive = number of days flies have been inside vials, Flipped = were the flies flipped with Y meaning Yes and N meaning No, flipper = person who flipped the flies, DeadF = number of dead females before collection, DeadM = number of dead males before collection, Censor = number of censors before collection, Hour = hour of collection, Minute = minute of collection, Label = id of the vial, Notes = observations during collection. LDF_egg_counting_data is a data sheet keeping track of the number of eggs counted on every image in experiment 2. Image_ID i= image identification number, Label = id of the vial, Day = day of collection, Month = month of collection, Year = year of collection, Counter  = person who counted the eggs, Egg_total = number of eggs counted on the photo, notes = observations during collection. Images.zip is a zipped folder of all images that were used to count the number of eggs laid over a ~16-hour time period once per week until the death of all flies in the vial. These images are organized by the date the picture was taken. These pictures were counted using the cell counter extension for ImageJ and counted. Counts were recorded in the LDF_egg_counting_data data sheet.

opencc-by-4.0Aug 2024View details →

Early life adversity has sex-dependent effects on survival across the lifespan in rhesus macaques

Data for: Early life adversity has sex-dependent effects on survival across the lifespan in rhesus macaques Patterson, S.K., Andonov, E., Arre, A.M., Martinez, M.I., Negron-Del Valle, J.E., Petersen, R.M, Phillips, D., Rahman, A., Ruiz-Lambides, A., Villanueva, I., Lea, A.J., Snyder-Mackler, N., Brent, L.J., Higham, J.P. "Early life adversity has sex-dependent effects on survival across the lifespan in rhesus macaques." 2024. Philosophical Transactions B.

opencc-by-4.0Jun 2024View details →

Data and code for: Recombinant venom proteins in insect seminal fluid reduces female lifespan

Publication: https://doi.org/10.1101/2024.01.14.575309 This repository contains all the data as well as the scripts used for the analysis and visualisation.  <table> <tbody> <tr> <td>File</td> <td>Description</td> </tr> <tr> <td>TMT.ipynb</td> <td>The Jupyter notebook containing the Python code for statistical analysis and figure generation. Scripts are sectioned in the order that results are presented in the study, with sub-headings and figure numbers where appropriate.</td> </tr> <tr> <td>actingal4.csv</td> <td>Offspring phenotype data from the UAS:venom x Act5C-GAL4 assay (Results: Testing functional expression of recombinant venoms).</td> </tr> <tr> <td>femalelifespan_1-1.csv</td> <td>Female lifespan data from the 1:1 male:female mating assay (Results: TMT males reduce the lifespan of mated females). Time = days since initial male exposure until death. Status: 1 = death observed; 0 = censored. </td> </tr> <tr> <td>femalelifespan_3-1.csv</td> <td>Female lifespan data from the 3:1 male:female mating assay (Results: TMT males reduce the lifespan of mated females). Time = days since initial male exposure until death. Status: 1 = death observed; 0 = censored. </td> </tr> <tr> <td>singlemating.csv</td> <td>Data from the single-pair courtship assay. 1 = successful courtship observed; 0 = successful courtship not observed.</td> </tr> <tr> <td>competitivemating.csv</td> <td>Offspring genotype data from the competitive mating assay. Female = group of offspring from a given mother. white = positive result from gDNA PCR using the 'white' primers (supplementary table S2). TMT = positive result from gDNA PCR using the 'UAS' primers (supplementary table S2).</td> </tr> <tr> <td>malelifespan.csv</td> <td>TMT male lifespan data from the male longevity assay. Time = days since eclosion. Status: 1 = death observed; 0 = censored. </td> </tr> </tbody> </table>   TMT-GAMA.db and TMT-lethality.db contains data from the GAMA model (doi:10.5281/zenodo.11439089), which is accessed by the Jupyter notebook. <table> <tbody> <tr> <td>Table</td> <td>Description</td> </tr> <tr> <td>TMT_step_output</td> <td>Each simulation will write key values to this table each cycle once transgenic males have begun to be released.</td> </tr> <tr> <td>TMT_female_output</td> <td>Each female will write key values to this table upon their death once transgeni males have begun to be released.</td> </tr> <tr> <td>TMT_PR50</td> <td>Each simulation will write to this table when/if the female population reaches 50% of its initial size.</td> </tr> <tr> <td>TMT_PR95</td> <td>Each simulation will write to this table when/if the female population reaches 95% of its initial size.</td> </tr> </tbody> </table>

opencc-by-4.0Sep 2024View details →

Impact of prenatal THC exposure on mouse brain development; a lifespan approach with MRI

Prenatal cannabis exposure has been demonstrated to impact neurodevelopment in offspring at different ages. To date, to our knowledge, no study has longitudinally examined the effects from embryos to adulthood. Here we collected and analyzed data to explore how prenatal exposure to delta-9-tetrahydrocannabinol (5 mg/kg subcutaneous injections, gestational dat [GD] 3-10) in mice impacts trajectories of brain development with structural magnetic resonance imaging. We supplement these findings with behavioural analyses and electron microscopy as described below. In the first cohort (embryos) embryos were extracted on GD 17 and scanned with MRI postnatally, as described in the methods of the accompanying paper. Electron microscopy was used to investigate dark neural and glial cells, apoptotic cells, and dividing cells in the hippocampus. In the second cohort (neonates) pups were born and scanned postnatally with manganese enhanced MRI on postnatal day (PND) 3, 5, 7, and 10. Separation-induced ultrasonic vocalizations were acquired on PND 12 and pups were perfused on PND 13. EM analyses were repeated in the neonatal hippocampi. In the third cohort (adults) pups were scanned on PND 25, 35, 60, and 90. Behavioral assessments for anxiety-like behavior with open-field test and sensorimotor gating with prepulse inhibition were performed on PND 35 and 37 respectively.  Findings showed altered prenatal body volumes and weight-trajectories, altered brain volumes (especially sustained in females until adulthood), and indications of changes to behavior, including anxiety-like phenotypes in neonates and adolescents. Evidence from electron microscopy suggests increased cell division in the embryo hippocampus. Together these data suggest a profound and sustained impact of early gestation prenatal THC exposure on brain development. For further details on the methods, approach, and results, please see the forthcoming publication. In this dataset you will find the following data: Pregnancy/dam-level outcomes can be found in maternal_outcomes.zip <ul> <li><a href="../api/records/13820978/draft/files/zenodo_pregnancy_README.txt/content" target="_blank" rel="noopener noreferrer">zenodo_pregnancy_README.txt</a>: includes description of the data and fields available in each csv.</li> <li>dam_weights.csv: A spreadsheet including the information related to each dam pooled across the studies</li> <li>nest_quality.csv: A spreadsheet including the manually-rated nest quality from a pilot and the full experiment</li> <li>master_maternal_observations_old_thc.csv: A spreadsheet including data for time spent on and off nest extracted automatically and manually from Ethovision</li> </ul> Embryo outcomes: <ul> <li>zenodo_embryos_README.txt: includes description of the data and fields available in each csv.</li> <li>demographics_for_analysis.csv: A spreadsheet with relevant information for each embryo sample.</li> <li>raw_embryo_mincs.zip: includes 84 embryo scans, full body</li> <li>embryo_heads.zip: includes 57 embryo scans that all passed qc, head only niftis </li> <li>squish_qc.csv: QC of whether the embryos were squished or not</li> <li>em_embryo_hc_mm2csv.csv: cells per mm^2 from electron microscopy</li> </ul> Neonate outcomes: <ul> <li>zenodo_neonates_README.txt: includes description of data and fields available in each csv</li> <li>demographics.csv: A spreadsheet with the demographic information for each pup and timepoint in the study</li> <li>raw_neonate_niftis.zip: 172 scans from neonates in nifti format</li> <li>agreement_qc.csv: quality control file with assessments of raw images</li> <li>milestones_999_as_NA.csv: Record of which milestones were tested and whether they were obtained</li> <li>master_usv.csv: Spreadsheet including data for ultrasonic vocalizations from all tested pups</li> <li>neo_cell_counts_mm2.csv: cells per mm^2 from electron microscopy for the neonates</li> </ul> Adult outcomes:  <ul> <li>zenodo_adult_README.txt: includes description of the data and fields available in each csv.</li> <li>demographics.csv: A spreadsheet with the demographic information for each mouse and timepoint in the study</li> <li>adult_raw_niftis.zip: The raw data (before preprocessing) in nifti format</li> <li>master_qc.csv: Quality control assessment of the raw images</li> <li>master_oft.csv: Values for open field test extracted from Ethovision</li> <li>avg_trials_ppi.csv: Data from prepulse inhibition trials, average startle of 100 ms following pulse</li> <li>max_trials_ppi.csv Dat afrom prepulse inhibition trials, maximum startle of 100 ms following pulse</li> </ul>

opencc-zeroSep 2023View details →

Temperature during pupal development affects hoverfly developmental time, adult lifespan and wing length

Hoverflies (Diptera, Syrphidae) are cosmopolitan, generalist flower visitors and among the most important pollinators after bees and bumblebees. The dronefly Eristalis tenax can be found in temperate and continental climates across the globe, often synanthropically. Eristalis tenax pupae of different generations and different climate zones are thus exposed to vastly different temperatures. In many insects, the ambient temperature during the pupal stage affects development, adult size, and survival; however, the effect of developmental temperature on these traits in hoverflies is comparatively poorly understood. We here reared Eristalis tenax pupae at different temperatures, from 10°C to 25°C, and quantified the effect on adult hoverflies. We found that pupal rearing at 17°C appeared to be optimal, with high eclosion rates, longer wings, and increased adult longevity. Rearing temperatures above or below this optimum led to decreased eclosion rates, wing size, and adult survival. Similar thermal dependence has been observed in other insects. We found that rearing temperature had no significant effect on locomotor activity, coloration or weight, despite evidence of strong sexual dimorphism and batch identity effects for each of these traits. Our findings are important as hoverflies are key pollinators, and understanding the effects of developmental temperature could potentially be useful for horticulture.