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Proceedings of the Royal Society B: Biological Sciences logoLink to Proceedings of the Royal Society B: Biological Sciences
. 2018 Mar 14;285(1874):20180268. doi: 10.1098/rspb.2018.0268

Experimental demonstration that offspring fathered by old males have shorter telomeres and reduced lifespans

José C Noguera 1,2,, Neil B Metcalfe 2, Pat Monaghan 2
PMCID: PMC5879639  PMID: 29540524

Abstract

Offspring of older parents frequently show reduced longevity, but the mechanisms driving this so-called ‘Lansing effect' are unknown. While inheritance of short telomeres from older parents could underlie this effect, studies to date in different species have found mixed results, reporting positive, negative or no association between parental age and offspring telomere length (TL). However, most of the existing evidence is from non-experimental studies in which it is difficult to exclude alternative explanations such as differential survival of parents with different telomere lengths. Here we provide evidence in the zebra finch that offspring from older parents have reduced lifespans. As a first step in disentangling possible causes, we used an experimental approach to examine whether or not we could detect pre-natal paternal effects on offspring TL. We found that zebra finch embryos fathered by old males have shorter telomeres than those produced by the same mothers but with younger fathers. Since variation in embryonic TL persists into post-natal life, and early life TL is predictive of longevity in this species, this experimental study demonstrates that a paternally driven pre-natal TL reduction could at least in part underlie the reduced lifespan of offspring from older parents.

Keywords: ageing, early development, Lansing effect, paternal inheritance, Taeniopygia guttata

1. Introduction

Parental effects, where the phenotype of one or both parent(s) affect offspring phenotype, represent a form of phenotypic plasticity spanning generations [1]. Parental effects can take many forms (reviewed in [2]), but recent evidence indicates that parental age is a key aspect of the parental phenotype that can strongly influence offspring phenotype and have positive or negative fitness consequences (e.g. [35]). Numerous studies have shown a negative effect of advanced parental age at reproduction on offspring health and longevity in a wide variety of taxa, including humans (e.g. [39]), a phenomenon often referred to as the ‘Lansing effect' [8]. The ‘Lansing effect' could, therefore, influence the population rate of genetic and phenotypic change, and ultimately affect population persistence and adaptation [2].

In species with parental care, there are several ways parental age could affect offspring phenotypes based on maternal and/or paternal effects operating pre- and/or post-natally [3,6,1015]. One potentially important route that could explain a reduction in the lifespan of offspring from older fathers is via these offspring having shorter telomeres. Telomeres are repeated tandem sequences of nucleotides located at the ends of chromosomes that play a key role in preventing chromosome degradation and genome instability [16]. Average cellular telomere length (TL) decreases with age in many taxa, particularly during the growth period (e.g. [9,1719]), and individuals with shorter TL have an increased risk of disease [20,21] and reduced longevity [9,22]. However, studies to date have provided mixed results; whereas in some mammal and bird species paternal age has been positively associated with offspring TL, in other vertebrates, the pattern is reversed or absent (reviewed in [23]).

Existing data on the effect of paternal age on offspring TL are based on cross-sectional studies, mostly in humans, in which it has not been possible to examine offspring produced by the same fathers reproducing at different ages [2431]. This makes it difficult to separate maternal and paternal pre- and post-natal effects. The epidemiological nature of these studies also means that it is difficult to control for factors such as variation in the survival of males with different TLs, the condition of males reaching different ages, their previous reproductive investment, the lack of paternity confirmation, non-random mate selection by females and a lack of control over the age at which offspring TLs are measured. With respect to the latter, offspring TL has often been measured at very variable ages after birth or hatching [19,2528,32,33]; this makes it difficult to separate the influence of paternal age from environmental factors acting during early or late post-natal life that are known to influence TL, and also allows potential bias from non-random mortality in the offspring. Controlling the offspring post-natal environment is likely to be particularly important because paternal age will potentially influence the quality of the post-natal environment which can affect telomere loss [30].

Here we report a first experiment designed to tease apart some of these effects. This work was carried out in the zebra finch Taeniopygia guttata; as in humans, zebra finch TL declines with age, mostly during early life [9,34], and post-natal TL dynamics are strongly influenced by factors acting on pre-natal (embryonic) TL [17]. We provide evidence supporting the existence of a Lansing effect by examining offspring survival of zebra finches produced by parents of different ages bred and maintained under standardized aviary conditions. We then used a within-female experimental design to examine the effect of paternal age on offspring TL: middle-aged zebra finch females reproduced with a young (4 months of age) and an old male (4 years of age) within a short period of time. Freshly laid eggs were then artificially incubated for a fixed period under standardized conditions and TL in embryos measured. Therefore, this design allowed us to examine the influence of paternal age while avoiding potential confounding effects on offspring TL such as the variation in the age at which offspring TL was measured, and also effects of parent mate choice, maternal age, inter- and intra-individual variation in reproductive effort (e.g. pre- and post-natal parental care), variation in the offspring post-natal environment and differential post-natal survival of parents and offspring.

2. Results

(a). Effect of parental age on offspring longevity

We found clear evidence for a Lansing effect in this species (electronic supplementary material, table S1); offspring longevity was negatively related to maternal and paternal age but the later had a quadratic effect on offspring survival (Cox mixed-effect model; female age; Wald = 4.958, d.f. = 1, p = 0.026; male age2: Wald = 6.519, d.f. = 1, p = 0.011; figure 1a,b; electronic supplementary material, table S1). Longevity did not differ between sons and daughters, nor did the influence of parental age on offspring longevity depend on offspring sex (electronic supplementary material, table S1). Interestingly, when we re-analysed the data but removing the offspring that died before reaching adulthood, only paternal age had a significant effect on offspring longevity (electronic supplementary material, table S2).

Figure 1.

Figure 1.

Offspring longevity in relation to (a) paternal and (b) maternal age at conception. Paternal and maternal age was included as a covariate in a mixed-effect Cox regression model (see main text for details). For illustrative purpose, the graphs show survival curves for offspring from two different (arbitrary) age classes of father or mother. (Online version in colour.)

(b). Effect of paternal age on embryonic telomere length and embryo size

Our experimental approach showed that paternal age had a significant negative effect on embryo TL (F1,18.80 = 5.341, p = 0.032; table 1); on average, the TL in embryos sired by old males was approximately 10% shorter than in those with the same mother but sired by young males (figure 2). The reduction in TL was independent of the positive effect of egg size on embryo TL (table 1), and was not influenced by the order in which females mated with the old and young fathers, whether the embryo came from the first or second breeding event (i.e. clutch number), the embryo's position within the clutch or its sex (table 1). Paternal age had no effect on clutch size, egg mass or embryonic survival (p > 0.27 in all models; see electronic supplementary material, S1 and table S2), but embryos sired by old males developed faster than those sired by young males, as indicated by their larger body size at 4 days of age after controlling for egg mass (table 1; figure 3). This difference in embryonic growth rate did not create the effect of paternal age on embryo TL; the effect of paternal age on embryo TL was independent of embryo size when added into the model (F1,19.77 = 5.514, p = 0.029; see electronic supplementary material, table S3) but embryo size was positively correlated to embryonic TL, regardless of paternal age (embryo size: estimate = 0.138, F1,112.89 = 7.736, p = 0.006; embryo size×paternal age: F1,111.44 = 1.562, p = 0.214; see electronic supplementary material, table S3).

Table 1.

Summary of LMM for the effects of paternal age at conception and covariates on embryo telomere length (TL) and size (estimated body mass) of zebra finch embryos. Measurements were made after 120 h (TL) and 96 h (embryo size) of artificial incubation. Significant t-test are denoted by an asterisk ‘*’.

factor embryo TL
embryo size
description estimate d.f. t-value F- or Z-value p-value estimate d.f. t-value F- or Z-value p-value
intercept 0.147 109.36 2.120* 4.148 79.41 39.34*
clutch number 124.56 1.742 0.189 109.84 0.006 0.940
first 0.014 124.56 1.320 0.001 109.84 0.075
second 0 0
male age 5.341 0.032 19.15 5.061 0.036
old −0.042 18.80 2.311* 0.056 19.15 −2.250*
young 0 0
sex 104.52 0.405 0.526 119.16 2.235 0.138
female −0.005 104.52 −0.636 0.024 119.16 1.495
male 0 0
egg order 94.82 0.075 0.996 106.84 3.953 0.003
first −0.008 98.86 −0.428 −0.042 112.79 −1.125
second −0.006 96.20 −0.299 −0.070 112.04 −1.867
third −0.008 92.33 −0.441 −0.118 108.05 −3.205*
fourth −0.003 91.97 −0.187 −0.104 107.36 −2.775*
fifth −0.004 91.19 −0.203 −0.058 105.21 −1.145
sixth 0 0
egg mass 0.119 106.74 2.194* 4.815 0.030 0.297 64.75 3.685* 13.577 <0.001
random factors
male ID 0.001 2.06 0.039 0.002 1.556 0.120
female ID 0.002 2.58 0.010 0.001 0.968 0.333

Figure 2.

Figure 2.

Effect of paternal age on (log) embryo telomere length (TL; mean T/S ± s.e.) after 5 days (120 h) of artificial incubation (n = 139). (Online version in colour.)

Figure 3.

Figure 3.

Effect of paternal age on (log) embryo size (mean ± s.e.) after 4 days (96 h) of artificial incubation (n = 136) (Online version in colour.).

3. Discussion

We found evidence of a Lansing effect in our zebra finch population. This reduction in offspring longevity as the parental age at the time of conception increases is consistent with previous studies across a range of vertebrates including humans (e.g. [39]). By using a carefully controlled experimental approach, we show that offspring fathered by old males have significantly shorter telomeres early in pre-natal life than embryos from the same mother but with a younger father. Since we know that in this species differences in embryo TL persist into adult life [17], and that TL at the end of the main growth period is predictive of longevity [9], this paternal effect is likely to affect offspring lifespan.

The negative effect of paternal age on offspring TL could come about by a number of different routes, several of which we have excluded via our experimental design. Offspring TL was measured at the embryo stage, thus excluding any effect of the post-natal environment. The eggs were incubated in standardized conditions in incubators; thus differences in incubation behaviour of males of different ages do not underlie this effect. TL was measured at a fixed time period after incubation started, excluding another potential factor, age at which offspring measurements are taken. Interestingly, the embryos of older males developed faster than those from younger males, but a strong paternal age effect remained when we included embryo size in our statistical models. Two potential mechanisms could underlie this paternal age effect that we have found. It is possible that females adjust egg composition in some way in response to male age, and that this gives rise to shorter telomeres in the embryos. Birds have been shown to adjust egg size and egg hormones in response to male attributes [35,36]. Zebra finches have, for example, been shown to increase testosterone levels in their eggs when mated with a perceived higher quality male [35]. This hormone appears to have pro-oxidant effects in mammals and evidence suggests that it may also contribute to dysregulate the antioxidant system of young birds [37]. Consequently, it might be possible that the embryos fathered by old males were exposed to higher levels of oxidative stress during development, which in turn, could accelerate the post-fertilization loss of TL [38]. Alternatively, if egg antioxidants are reduced when females are breeding with old males, this could also give rise to increased telomere loss [39]. This egg composition effect is worthy of further investigation. To fully exclude the possibility of female egg adjustments in response to male age, in vitro fertilization would be required.

An alternative route is, however, via changes in sperm TL with male age. The reduction in TL in the embryos fathered by old males that we have found supports recent experimental evidence in mice [40], and correlative studies in other bird and lizard species [2830]. These results, however, contrast with previous epidemiological studies in other vertebrate species such as humans or apes [2427,33] where the opposite relationship between paternal age and offspring TL was found. It is possible that, in contrast to long-lived mammals such as humans or apes, sperm TL in short-lived vertebrates such as the zebra finch decreases with male age so that embryos fathered by older males inherit shorter telomeres. Indeed, it has recently shown that old male mice Mus musculus have shorter sperm TL compared to young males [40]. Although suggestive, whether or not this can also occur in other taxonomic groups such as birds is still unknown. For such studies, it is important that within-male measurements are made to exclude the possibility that males with longer telomeres in all tissues, including sperm, are more likely to survive and remain reproductively active into old age. No such studies have yet been carried out.

We also found that embryos sired by old males developed faster than those sired by young males as indicated by their larger body size at 4 days of age after controlling for egg mass. This, while not responsible for the effect on TL, is in itself very interesting. It is likely to reflect a faster cell division rate as a result of a maternal influence on egg composition because this can influence development rate of the embryos [41]. While it might be assumed that the faster growth of embryos fathered by old males would contribute to the loss of TL [34,42,43], embryo size was in fact positively rather than negatively related to embryo TL irrespective of male age. This positive covariation has been reported in other vertebrate species [44] and contrasts with the prevailing view of accelerated growth as costly in terms of telomere shortening [42,43]. Instead, it suggests that individuals that best tolerate telomere shortening may perform best (e.g. [39,45]), thus being able to invest more resources in costly physiological functions such as cell growth and division rate.

4. Methods

(a). Effect of parental age on offspring longevity

In order to investigate the existence of a Lansing effect in the zebra finch, we analysed the longevity data of a cohort of birds produced in our animal facilities and for which the age of both parents at the time of reproduction was known. In brief, 44 adult male and female zebra finches from our stock population were paired as a part of our long-term breeding programme between 2012 and 2014. These birds were not involved in any experimental treatment and pairs were formed from genetically unrelated birds. On the day of pairing male and female age were highly correlated (Pearsons' correlation coefficient: r = 0.97, N = 44, p < 0.001), with the average age (days) being 242 days ± 76 s.d. (range 170–496 days) for males and 258 days ± 124 s.d. (range 183–660 days) for females. Pairs were housed in individual breeding cages (60–50 cm and 50 cm high) with nesting material and an external, cage-mounted nest-box, in a room maintained at 20.5 ± 2°C under full spectrum, artificial light (16 L : 8 D cycle). The birds' diet comprised an ad libitum supply of commercial mixed seeds (Johnson & Jeff, UK), oyster shell grit, cuttlefish and water. Nests were monitored daily and the exact date of hatching of each offspring recorded. At 20 days of age, all chicks were individually marked with a metal ring and around 30 days of age, they were separated from their parents.

Owing to space limitations, it was impossible to keep all the offspring from all broods for the remainder of their lives and, therefore, only one randomly selected bird of each original brood (N = 44) was retained. These birds were then moved to single-sex holding cages and maintained under the same aviary conditions as described above. The survival of these birds was monitored daily until July 2017 and the exact date of death of all birds recorded. The cause of death was generally unknown but was considered to be due to natural causes if carcases did not have obvious signs of infection or injury [9].

(b). Effect of paternal age on embryonic development

To investigate the influence of paternal age on embryonic development and TL, in 2016, we performed an experimental study in a separate group of adult zebra finches from those mentioned in the previous section. We randomly paired 32 middle-age zebra finch females (age range 1.73–1.76 years) with either a young (N = 16; age range 0.37–0.40 years) or an old (N = 16; age range 4.04–4.19 years) male. Zebra finches can live up to 5 years in the wild [46] and up to 8 years in captivity [9], although post-fledging mortality starts to sharply increase from 13 months of age [47] and by 3–4 years of age they show clear signs of physiological ageing [48,49]. All birds used in the experiment came from our stock population and had previously been kept in single-sex groups. All pairs were formed on the same day and comprised unfamiliar and genetically unrelated birds that were not involved in any experimental treatment. Breeding pairs were kept under the same breeding conditions (e.g. cage size, diet, temperature and light conditions) as those described above (see the previous section).

Each breeding pair was provided with a nest-box that was inspected once daily between 07.00–10.00 h, and any new egg was marked and weighed using an electronic balance (±0.01 g). To avoid any effect of differences in incubation effort (e.g. incubation temperature, onset or consistency of incubation) which could influence embryonic development or embryo TL [17], every newly laid egg was immediately replaced by a dummy clay egg (which maintained the laying pattern of the females), and the fresh egg was placed in an external incubator at 37.5°C and 80% relative humidity (Octagon 20 ECO Incubator; Brinsea Products Ltd, Standford). Eggs were candled every morning (between 09.00 and 11.00 h) with a cold LED light (Mini Bonfire 200 lumens; Hong Kong) in order to determine whether the embryo was alive. If there were no signs of embryo development by day 5 of incubation, the eggs were considered not fertile [50]. After 5 days of artificial incubation, all eggs were removed from the incubator and immediately stored at −80°C for later molecular determination of embryo sex and TL (see below). Clutches were considered complete if no new eggs were laid for 4 days [17]. All breeding pairs were separated once the first clutch was complete and the birds transferred to single-sex groups.

One month after this first reproductive event, the females were paired again and allowed to produce a clutch for second time, but this time with a male of the opposite age group to the one they were paired with previously. We used the same set of males (and females) during the two consecutive reproductive events. As before, mates were both unrelated and unfamiliar. Both male and female body mass was measured (±0.01 g) on the day they were paired in both reproductive events. Male and female body mass had no effect on embryo size (male mass: F1,31.81 = 0.088, p = 0.774; female mass: F1,36.31 = 0.707, p = 0.406) or embryonic TL (male mass: F1,27.15 = 0.032, p = 0.859; female mass: F1,36.58 = 0.478, p = 0.494) when tested in the models (see Statistical analyses section). Egg fertility was lower in the second clutches but did not differ with respect to paternal age (male age: F1,28 = 1.37, p = 0.251; clutch number: F1,68 = 16.69, p < 0.001; clutch number × male age: F1,60 = 0.46, p = 0.499).

(c). Embryo size measurements

We measured embryo size via digital image analysis. This allowed a non-destructive reliable measurement of embryo body size (see validation in the electronic supplementary material) without the risk of damaging telomeric DNA regions, e.g. through exposure to the oxygen-rich air of the atmosphere [51]. To maximize our sample size, we measured the size of the embryos at 4 days (i.e. 1 day before the telomere measurements) because at earlier/later stages most of the embryos are too small/big to be accurately measured in the digital images (J.C.N. 2016, personal observation.). In total, we successfully measured 136 embryos (first reproduction: N = 76; second reproduction, N = 60). Embryo size measurements were repeatable and highly correlated with the real mass of the embryo (see electronic supplementary material, Material and methods section for further details). We, therefore, used the embryo size (in pixels) as a proxy of embryo mass in our experiment.

(d). Telomere length analyses and molecular sexing

The DNA of the whole defrosted embryos was later extracted with DNeasy Blood and Tissue kit (Qiagen, Crawley, UK), following the manufacturer protocol. The TL of these embryos (76 from the first and 60 from the second breeding event; all sampled at the same age) was measured by real-time quantitative PCR as described previously for zebra finch embryos [17] (a detailed description of the methodology is provided in electronic supplementary material). The sex of the embryos was determined by PCR amplification of the CHD1-W and CHD1-Z genes using the primers P2 and P8 as described in [52].

(e). Statistical analyses

(i). Longevity study: effect of parental age on offspring longevity

We used Cox mixed-effects regression models to test the influence of parental age on offspring longevity (i.e. survival). The model included sex as a fixed factor and maternal age, paternal age and their quadratic terms as covariates. The interactions between maternal and paternal age with the sex of the offspring were also tested. Because three of the females reproduced twice (but with different partners), we also initially included the identity of the female as a random factor. However, the random factor was never significant (p < 0.05) and hence, removed to avoid model over-parametrization. Because a few birds died before reaching adulthood (N = 4), we reran the survival models after removing these individuals to avoid the risk that these early mortalities may confound any effect of parental age on offspring longevity (i.e. natural mortality at adulthood). These complementary analyses provided similar results and are provided in electronic supplementary material, table S1.

(ii). Paternal age experiment: effect of paternal age on embryo size and embryonic telomere length

We used linear mixed-effect models (LMM) to test the effect of paternal age (young versus old) on embryo TL and embryo size. In the models, we controlled for several potential confounding variables such as the females' clutch number (first or second), the sex of the embryo, egg mass and position of the egg in the clutch (whether the first-, second-laid egg, etc.). Any effect of paternal age on embryo TL may be related to an effect of paternal age on embryo growth rate. Thus, we reran the model including embryo size and its interaction with paternal age as covariates.

(iii). Complementary analyses: effect of paternal age on clutch size, egg mass, embryo sex and survival

We also assessed the effect of paternal age on clutch and egg traits (i.e. clutch size, egg mass and embryo sex) and embryo survival using LMM and generalized mixed-effect models (GLMM) as appropriate. Paternal age had no effect on any of the above-mentioned variables. Additional details on statistical analyses are provided in electronic supplementary material, Material and methods section.

In all the above models, the identity of the parents was included as a random factor to account for non-independence of eggs and/or clutches from the same mother and/or father. The interaction between male age and clutch number was also initially included in models but was never found to be significant and so was removed from the analyses. When needed, variables were log-transformed (embryo size and TL) to improve data distribution. Residuals obtained from the models were always normally distributed. Analyses used Satterthwaite's approximation for degrees of freedom. To avoid inflating the type I error, we did not apply model selection in any analyses, and so report results for full models after removing non-significant interactions as recommended by Engqvist [53]. Data are presented as means ± standard error (s.e.), and the significant level was set at p = 0.05.

Supplementary Material

Supplementary methods and results
rspb20180268supp1.docx (585.8KB, docx)

Acknowledgements

We thank all the animal husbandry and veterinary staff of the Graham Kerr Building for their help, and W. Boner, V. Marasco and K. Griffiths for their assistance during the experiment. We also thank S. Y. Kim and A. Velando for their advice with the statistical analyses and D. Penn, D. Eisenberg and an anonymous reviewer for constructive comments.

Ethics

All animal experiments were conducted in accordance with the Guiding Principles for the Care and Use of Laboratory Animals and granted by UK Home Office (project licence no. 60/4109).

Data accessibility

Data are deposited in the Figshare digital repository: (doi:10.6084/m9.figshare.5271712).

Authors' contributions

The study was conceived by J.C.N., P.M. and N.B.M. Data were collected and analysed by J.C.N. and the manuscript writing was done by J.C.N., P.M. and N.B.M.

Competing interests

We have no competing interests.

Funding

J.C.N. was funded by a Juan de la Cierva Fellowship (IJCI- 2014-20246) and N.B.M. and P.M. by two different ERC advanced grants (ref.: 322784 and 268926, respectively).

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Associated Data

This section collects any data citations, data availability statements, or supplementary materials included in this article.

Supplementary Materials

Supplementary methods and results
rspb20180268supp1.docx (585.8KB, docx)

Data Availability Statement

Data are deposited in the Figshare digital repository: (doi:10.6084/m9.figshare.5271712).


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