Longitudinal studies confirm faster telomere erosion in short-lived bird species
- 1.2k Downloads
Evidence is accumulating that telomeres become shorter with advancing age and possibly explain some of the observed variation in longevity. Cross-sectional analyses have shown that species with shorter lifespans lose more telomeric repeats with age than species with longer lifespans. Using existing data from longitudinal studies performed on several bird species, we confirmed a negative relationship between the rate of telomere shortening and maximum longevity.
KeywordsAgeing Wild population Blue Tit Longevity Lifespan
Längsschnittuntersuchungen bestätigen schnellere Telomer-Verkürzung bei kurzlebigen Vogelarten
Es gibt immer mehr Belege dafür, dass die Telomere mit wachsendem Lebensalter immer kürzer werden und damit möglicherweise bestimmte Variationen in der Lebensdauer erklärt werden können. Querschnittsanalysen haben gezeigt, dass kurzlebige Arten mit wachsendem Alter mehr der vielen Wiederholungs-Sequenzen am Ende ihrer Telomere verlieren als Arten mit längerer Lebensdauer. Aufgrund vorhandener Daten aus Längsschnittsstudien an einigen Vogelarten können wir eine negative Korrelation zwischen Telomer-Verkürzung und maximaler Lebensspanne bestätigen.
Telomeres are repeats of non-coding DNA located at the ends of chromosomes. They protect chromosomes from losing essential DNA, as the replication process is never complete on the lagging strand. Because of this so-called end-replication problem telomeres become shorter with each cell division. Analysing telomere length may provide a suitable tool to assess biological ageing as it is perceived to be a reliable ageing biomarker (Monaghan and Haussmann 2006). It has been shown that telomere length at young age predicts longevity (Heidinger et al. 2012) and the telomere length itself as well as the rate of telomere erosion can constitute a better estimator of life expectancy than chronological age (Bize et al. 2009). Nevertheless, telomere dynamics is still poorly understood. Telomeres do not shrink at a constant rate and the variation observed in telomere length among individuals of the same age is substantial (Monaghan and Haussmann 2006). In this context it is important to trace within-individual changes in telomere length. Therefore increasing numbers of studies apply a within-individual, longitudinal approach while exploring telomere dynamics. However, longitudinal studies are difficult, particularly in the wild, as a result of the great effort required for multiple sampling of the same individuals. The majority of studies were performed on long-lived birds while telomere length was measured only twice in the entire lifespan of an individual (Hall et al. 2004; Pauliny et al. 2006; Bize et al. 2009; Bauch et al. 2013; Young et al. 2013), but see Salomons et al. (2009), Barrett et al. (2013) and Asghar et al. (2015). To our knowledge short-lived species have been considered in longitudinal studies of telomere dynamics only recently (Heidinger et al. 2012; Asghar et al. 2015); therefore a between-species comparative study of lifespan-dependent telomere erosion on an intra-individual level was not possible until now. The existing cross-sectional analyses indicate that short-lived animals face more rapid telomere decay than long-lived ones (Haussmann et al. 2003). However, in cross-sectional comparisons the interpretation of telomere dynamics in older age classes is difficult, as disappearance of individuals from a population may not be independent from telomere length. This may be particularly important if age-related telomere shortening shows significant individual variation.
Here we used existing data on telomere dynamics from longitudinal studies to test the hypothesis that the rate of telomere loss is related to maximum observed longevity. Since most studies have been performed on long-lived species, we also included another short-lived passerine, the Blue Tit (Cyanistes caeruleus) from our own unpublished work.
We performed correlation analysis to test if the rate of telomere loss is related to maximum observed longevity using published data. We considered all studies on adult birds that used a longitudinal approach and gave information on telomere loss across age classes (see electronic supplementary material for details). From the analysis we excluded studies in which birds had undergone any experimental manipulation that may alter natural telomere dynamics (this led to the exclusion of eight out of 18 papers on bird longitudinal telomere dynamics that we are aware of). In these papers the data on telomeres were given in various forms. Some provide direct information on telomere length/telomere loss whereas in others telomere loss could only be estimated from figures. Since telomere length is often expressed in relative values (qPCR results) it was not possible to calculate telomere loss in absolute values. Telomere loss in base pairs was only given in five papers, all for long-lived species. Additionally, absolute change in telomere length is less informative as species differ in telomere length. To solve this issue, telomere erosion was assessed as yearly telomere loss approximated as the difference between mean telomere length in the first and last age class reported in the paper divided by the number of years between sampling. This value was expressed as a percentage of average telomere length calculated across reported age classes.
We also included our own unpublished data from a wild population of Blue Tit inhabiting Gotland, an island in the Baltic Sea. We assessed within-individual telomere shortening in 30 samples originating from 10 birds using qPCR techniques (see Sudyka et al. 2014 for details on the population and telomere measurement). Here we selected individuals that were sampled at the early stage of life and monitored for at least 3 years to make the rate of telomere loss representative for the whole lifespan. On average these birds were sampled three times across their lifetime while maximum longevity observed in our population is 7 years. Analyses were performed in SPSS v.22.
Results and discussion
This research was financed by the grant of the Polish National Science Center no. DEC-2013/09/N/NZ8/03211 and the preliminary studies by the Jagiellonian University DS/MND/WBiNoZ/INoŚ/24/2012, both awarded to JS. This publication was also supported by funding from the Jagiellonian University within the SET project (to AA and SD). We are thankful to Anna Dubiec, Edyta Podmokła and Dariusz Wiejaczka for their assistance in the fieldwork.
Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made.