Data for: Telomere dynamics in relation to experimentally increased locomotion costs and fitness in great tits
Data files
Sep 03, 2021 version files 41.23 KB
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experiment.csv
5.09 KB
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reproduction_cross-sectional.csv
2.38 KB
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reproduction_longitudinal.csv
31.92 KB
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survival.csv
1.84 KB
Abstract
Evidence that telomere length (TL) and dynamics can be interpreted as proxy for ‘life stress’ experienced by individuals stems largely from correlational studies. We tested for effects of an experimental increase of workload on telomere dynamics by equipping male great tits (Parus major) with a 0.9 gram backpack for a full year. In addition, we analysed associations between natural life-history variation, TL and TL dynamics. Carrying 5% extra weight for a year did not significantly accelerate telomere attrition. This agrees with our earlier finding that this experiment did not affect survival or future reproduction. Apparently, great tit males were able to compensate behaviourally or physiologically for the increase in locomotion costs we imposed. We found no cross-sectional association between reproductive success and TL, but individuals with higher reproductive success (number of recruits) lost fewer telomere base pairs in the subsequent year. We used the TRF method to measure TL, which method yields a TL distribution for each sample, and the association between reproductive success and telomere loss was more pronounced in the higher percentiles of the telomere distribution, in agreement with the higher impact of ageing on longer telomeres within individuals. Individuals with longer telomeres and less telomere shortening were more likely to survive to the next breeding season, but these patterns did not reach statistical significance. Whether successful individuals are characterized by losing fewer or more base pairs from their telomeres varies between species, and we discuss aspects of ecology and social organisation that may explain this variation.
Methods
See accompanying paper for details.
Usage notes
There are four data files, and their names correspond with sections in the results:
experiment.csv
reproduction_cross-sectional.csv
reproduction_longitudinal.csv
survival.csv
Data-dictionary (see paper for details):
telomere_length
start_age: age at the start of the experimental treatment
Time_elapsed: time elapsed between current record and start_age
addMass_lag: zero for first capture always, but added mass as treated at later captures
ID: individual identity
gel: identity of the gel
age
N_Fledglings: number of fledglings
N_Recruits: number of recruits
N_Fledglings_lag: zero in spring 1, but N_Fledgings in preceding season at later captures
N_Recruits_lag: as for N_Fledglings_lag
perc10 – perc90: telomere length at the 10th to 90th percentile within each sample
deltaTL: change in telomere length from spring 1 to year 2 in bp
survived: whether or not a bird survived to a later year