Effects of early-life competition and maternal nutrition on telomere lengths in wild meerkats

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Study Justification:
This study investigates the effects of early-life competition and maternal nutrition on telomere lengths in wild meerkats. Telomere attrition, which is the shortening of telomeres, has been linked to adverse early-life conditions and can have long-term consequences on health, survival, and fitness. Understanding the relationship between early-life competition, maternal nutrition, and telomere lengths can provide insights into the factors that influence meerkat populations and their overall fitness.
Highlights:
– The study found that when multiple females breed concurrently, an increase in the number of pups in the group is associated with shorter telomeres in the pups.
– The researchers experimentally supplemented the diets of pregnant and lactating females to test if nutritional constraints on maternal milk production contribute to the effect of early-life competition on telomere lengths.
– The results showed that when maternal nutrition was improved, the negative effects of pup number on telomere lengths were mitigated.
– Shortened pup telomeres were associated with reduced survival to adulthood, indicating that early-life competition for nutrition has detrimental fitness consequences.
Recommendations for a Lay Reader:
– Early-life competition can have long-term effects on the health and survival of meerkats.
– Improving maternal nutrition during pregnancy and lactation can help mitigate the negative effects of early-life competition on telomere lengths.
– Shortened telomeres in meerkat pups are associated with reduced survival to adulthood, highlighting the importance of addressing early-life competition for nutrition.
Recommendations for a Policy Maker:
– Implement measures to improve maternal nutrition during pregnancy and lactation in wild meerkat populations.
– Consider strategies to reduce early-life competition for resources among meerkat pups, such as providing supplemental food or creating conditions that minimize competition.
– Support long-term monitoring and research efforts to assess the impact of interventions on meerkat populations and their overall fitness.
Key Role Players:
– Researchers and scientists specializing in meerkat behavior, ecology, and genetics.
– Wildlife conservation organizations and experts.
– Policy makers and government agencies responsible for wildlife management and conservation.
Cost Items for Planning Recommendations:
– Research and monitoring equipment, such as electronic scales, DNA extraction kits, and qPCR analysis tools.
– Fieldwork expenses, including travel, accommodation, and logistics.
– Personnel costs for researchers, field assistants, and data analysts.
– Costs associated with implementing interventions to improve maternal nutrition, such as providing supplemental food.
– Communication and dissemination of research findings to stakeholders and the public.

The strength of evidence for this abstract is 8 out of 10.
The evidence in the abstract is strong, but there are some areas for improvement. The study was conducted over a long period of time (1994-2015) and included a large sample size (230 pups from 63 litters in 13 groups). The researchers used a stepwise model simplification approach and carried out statistical analyses to investigate the determinants of telomere length in meerkat pups. They also conducted an experimental study to test the effects of maternal nutrition on telomere length. However, to improve the evidence, it would be beneficial to include more details about the statistical analyses and provide information on the effect sizes and p-values for the significant findings. Additionally, it would be helpful to mention any potential limitations or confounding factors that may have influenced the results.

Early-life adversity can affect health, survival and fitness later in life, and recent evidence suggests that telomere attrition may link early conditions with their delayed consequences. Here, we investigate the link between early-life competition and telomere length in wild meerkats. Our results show that, when multiple females breed concurrently, increases in the number of pups in the group are associated with shorter telomeres in pups. Given that pups from different litters compete for access to milk, we tested whether this effect is due to nutritional constraints on maternal milk production, by experimentally supplementing females’ diets during gestation and lactation. While control pups facing high competition had shorter telomeres, the negative effects of pup number on telomere lengths were absent when maternal nutrition was experimentally improved. Shortened pup telomeres were associated with reduced survival to adulthood, suggesting that early-life competition for nutrition has detrimental fitness consequences that are reflected in telomere lengths. Dominant females commonly kill pups born to subordinates, thereby reducing competition and increasing growth rates of their own pups. Our work suggests that an additional benefit of infanticide may be that it also reduces telomere shortening caused by competition for resources, with associated benefits for offspring ageing profiles and longevity.

Data collection was conducted in the context of a long-term study, monitoring a naturally regulated population of wild meerkats at the Kuruman River Reserve, South Africa (26°58′ S, 21°49′ E), between 1994 and 2015. All meerkats were habituated to close observation (less than 1 m) and individually recognizable using small dye-marks (approx. 2 cm2, for adults and older pups) or trimming small patches of fur (approx. 0.5 cm2, for newly emerged pups) [36]. Virtually all (greater than 95%) meerkats could be voluntarily weighed on electronic scales (±0.1 g, Durascale, UK) before they commenced foraging in the morning, at midday and after sunset. Groups were visited two to three times per week to collect behavioural, life-history and bodyweight data. Observations of pregnancy, birth, infanticide, dominance, group size and rainfall were made using protocols detailed elsewhere [36,37]. Mother and father identity were assigned genetically [38,39]. Meerkats are born in an underground burrow, emerging for the first time at age 3–4 weeks. Shortly after the litter’s first emergence, a small biopsy of skin from the tail tip was collected from each pup (age 28.3 ± 3.4 days) for the determination of telomere length and parentage [39]. Skin samples were immediately transferred to 96% ethanol and stored at −20°C until DNA extraction. To investigate the effects of early nutritional environment on telomere lengths, we fed pregnant females during gestation and lactation. To minimize inter-individual differences in body condition, our experimental procedure was limited to dominant females. The supplementary feeding protocol consisted of one hard-boiled egg per day (divided equally between the morning and afternoon observation sessions) commencing 6 weeks after the end of a dominant female’s pregnancy, and continuing until the next parturition [40]. Thereafter, fed dominant females received four eggs per week until the pups were weaned. This feeding protocol occurred between August and November in 2011 and 2012. Control females were pregnant during the same period and did not receive supplemental food. We investigated how infanticide by dominant females affects the number of competing pups and the likely consequences for telomere lengths in her own litter. While previous analyses of the distribution of infanticide have focused on consequences for the victim mother (i.e. whether her litter survives or is killed [35,37]), we quantified the benefits of infanticide for the perpetrator (i.e. how many competitor pups she removes). We identified periods when the dominant female is most likely to kill pups born to other females (the 30 days prior to her own parturition, hereafter termed ‘high infanticide period’) and least likely (the 30 days immediately after giving birth, hereafter termed ‘low infanticide period’) [27]. We then assessed subordinate litter survival probabilities and the total number of subordinate pups surviving to emergence during these two periods. Parturition for all females could be identified by sudden weight loss and change in body shape [36], and pup production for each period was measured as the number of pups born that survived to emergence from the birth burrow. We used quantitative PCR (qPCR) analysis to measure telomere length in skin samples, based on published protocols with some modifications [41,42]. This measure represents the average telomere length across cells in a sample and is reported as the level of telomeric sequence abundance relative to a reference non-variable copy number gene (T/S ratio). Further details of DNA extraction and qPCR analysis can be found in the electronic supplementary methods. Statistical analyses were carried out in R v. 3.2.3, using a stepwise model simplification approach [43,44]. Initially all fixed terms of interest were fitted, followed by the stepwise removal of terms whose removal from the model resulted in a non-significant change in deviance (using maximum log-likelihood estimation), until the minimal adequate model (MAM) was obtained, in which only significant terms remained. Dropped terms were then added back in to the MAM to confirm their non-significance. The homoscedasticity and normality of residuals were confirmed by visual inspection, and all continuous predictors were scaled to a mean of 0 and standard deviation of 1. The significance of all terms was tested either by removing the terms from the MAM (if the term was in the MAM) or by adding the terms to the MAM (if the term was not included in the MAM). Analysis using Akaike’s information criterion correcting for small sample size (AICc) and inspection of the top model set (for which AICc differed by less than 2) yielded qualitatively identical results [45]. We ran four sets of statistical models: first to investigate the determinants of pup telomere lengths in the large correlative dataset, second to investigate how experimental supplementary feeding of mothers impacted pup telomere lengths, third to investigate whether early-life telomere lengths predict survival into adulthood and fourth to investigate the consequences of infanticide for pup competition. Our primary interest was the effect of the number of competing pups on telomere lengths at emergence from the natal burrow. For each sampled pup, we assessed the number of rival pups (aged under 90 days) present in the group, every day between the focal pup’s birth and day of sampling for telomere length. The average of these daily rival counts represents our measure of overall competition experienced by the focal pup prior to sampling, hereafter termed ‘pup number’. This estimate of pup competition includes littermates and pups from older and younger litters born to the dominant female and subordinate females. We controlled for maternal factors that may influence offspring quality, including weight at conception, age (mean 4.9 years, range 1.2–8.0) and dominance status (dominant or subordinate) [46]. Social group size (average number of adult group members calculated as above for pup number) and rainfall (mm) in the month before birth can also both influence offspring quality [47]. Pup sex (male, female or unknown) and age at capture were also controlled for. We included these individual, maternal, environmental and social predictors, with our estimate of pup number, in a general linear mixed-effects model (GLMM), with pup telomere length as the response. Cohort year, group identity (ID), mother ID and litter ID were included as random terms, to account for the non-independence of pups within years, groups, mothers and litters. Telomere lengths were available for 230 pups from 63 litters in 13 groups, born between 2009 and 2012. We also tested the effect of paternal age (mean 4.1 years, range 1.4–6.1) on pup telomere lengths in a reduced dataset for which the father’s date of birth could be accurately determined (78 pups from 23 litters in seven groups). To test the effect of supplementary feeding of the pregnant and lactating mother on pup telomere lengths, we included experimental treatment (fed/control) as a two-level factor in a GLMM, with pup telomere length as the response and litter ID as the random term. Given our smaller sample size for the experimental dataset, only terms found to be significant in the larger correlative model were included, and two-way interactions between these and treatment. Telomere lengths were available for 25 pups from eight litters in each treatment. We investigated whether pup telomere lengths predicted survival to adulthood (1 year old). Sub-adult meerkats do not disperse [31,48], and any disappearance from the group before reaching adulthood is therefore likely to reflect mortality. We removed any individuals dying before reaching nutritional independence (90 days) as death at this early stage typically occurs due to starvation, predation or becoming separated from the group, these sources of mortality are unlikely to reflect variation in telomere lengths. We used a binary term for survival to adulthood as the response in a binomial mixed-effects model. We included pup telomere length as a predictor. We also controlled for other predictors known to influence telomere lengths and survival in young meerkats: sex, group size, rainfall, maternal dominance status and maternal age [47]. We controlled for the effects of pup body-weight on survival, by including their bodyweight at age 40 days in the model. Group ID, mother ID and litter ID were included as random terms. This model was fitted to a dataset of 178 individuals: 161 pups from 51 litters born to dominant females and 17 pups from seven litters born to subordinates. The maximum confirmed lifespan for meerkats in our population is 12.2 and 12.4 years, for males and females, respectively. We contrasted the fates of subordinate litters born in periods of high and low dominant female infanticides. First, for each dominant female parturition (n = 158), we counted subordinate parturitions during the two periods (30 days before and after dominant parturition). Infanticide typically takes places shortly after birth, so we classed each subordinate parturition as a ‘success’ or ‘infanticide’ according to whether the litter survived its first 2 days (litter loss after this point is more likely to be due to starvation or predation [35,37]). Although newborn litters remained in the burrow for up to 4 weeks, their survival could be recorded daily by observing whether the group continued to leave babysitters during foraging trips [35]. The number of successes and infanticides were then used as the response term in a binomial mixed-effects model, with the high/low infanticide period fitted as a two-level predictor. The random terms were dominant female pregnancy ID, dominant female ID and group ID. Second, for each dominant female parturition, we calculated the total number of emerging subordinate pups born during the two infanticide periods, and fitted this as the response term in a GLMM with a Poisson distribution. The main predictor of interest was the two-level high/low dominant female infanticide period, and we controlled for the number of subordinate females giving birth.

Based on the provided description, here are some potential innovations that could improve access to maternal health:

1. Telemedicine: Implementing telemedicine services can provide remote access to healthcare professionals for prenatal and postnatal care. This can help overcome geographical barriers and increase access to maternal health services.

2. Mobile health (mHealth) applications: Developing mobile applications that provide information and resources related to maternal health can empower women with knowledge and support. These apps can include features such as appointment reminders, educational content, and access to healthcare providers.

3. Community health workers: Training and deploying community health workers who can provide basic maternal health services, education, and support in underserved areas can improve access to care. These workers can also help with referrals to higher-level healthcare facilities when necessary.

4. Maternal health clinics: Establishing dedicated maternal health clinics in areas with limited access to healthcare can ensure that pregnant women have access to comprehensive prenatal care, including regular check-ups, screenings, and vaccinations.

5. Transportation support: Providing transportation services or subsidies for pregnant women to reach healthcare facilities can address transportation barriers and ensure timely access to maternal health services.

6. Maternal health education programs: Implementing educational programs that focus on maternal health and childbirth can empower women with knowledge and skills to make informed decisions about their health and seek appropriate care.

7. Maternity waiting homes: Setting up maternity waiting homes near healthcare facilities can provide a safe and comfortable place for pregnant women to stay during the final weeks of pregnancy, ensuring they are close to care when labor begins.

8. Financial assistance programs: Developing financial assistance programs or health insurance schemes specifically for maternal health can help alleviate the financial burden associated with accessing prenatal and postnatal care.

9. Partnerships with non-governmental organizations (NGOs): Collaborating with NGOs that specialize in maternal health can leverage their expertise and resources to improve access to care in underserved areas.

10. Quality improvement initiatives: Implementing quality improvement initiatives in healthcare facilities that focus on maternal health can enhance the overall quality of care provided, making it more accessible and effective for pregnant women.

It is important to note that the specific context and needs of the target population should be considered when implementing these innovations to ensure their effectiveness and sustainability.
AI Innovations Description
The study mentioned in the description focuses on the effects of early-life competition and maternal nutrition on telomere lengths in wild meerkats. The results show that increased competition among pups leads to shorter telomeres, which can have negative effects on survival and fitness later in life. The study also found that improving maternal nutrition during gestation and lactation can mitigate the negative effects of competition on telomere lengths. Additionally, the study suggests that infanticide by dominant females may have the additional benefit of reducing telomere shortening caused by competition for resources.

Based on these findings, a recommendation to improve access to maternal health and potentially develop an innovation could be to provide nutritional support to pregnant and lactating mothers. This could involve implementing programs that offer dietary supplements or additional food resources to pregnant women, particularly those in resource-constrained environments. By ensuring that mothers have adequate nutrition during these critical periods, it may help mitigate the negative effects of competition and improve maternal and child health outcomes.
AI Innovations Methodology
Based on the provided description, the study focuses on the effects of early-life competition and maternal nutrition on telomere lengths in wild meerkats. The study found that increased competition among pups in a group is associated with shorter telomeres, which can have detrimental fitness consequences and reduced survival to adulthood. The study also investigated the impact of experimental supplementation of maternal nutrition during gestation and lactation and found that it mitigated the negative effects of competition on telomere lengths.

To improve access to maternal health, the following innovations could be considered:

1. Mobile Health (mHealth) Applications: Develop mobile applications that provide pregnant women with access to information, resources, and support related to maternal health. These apps can provide personalized guidance on prenatal care, nutrition, and exercise, as well as reminders for appointments and medication.

2. Telemedicine Services: Implement telemedicine services that allow pregnant women in remote or underserved areas to consult with healthcare professionals remotely. This can help overcome geographical barriers and provide access to prenatal check-ups, consultations, and advice.

3. Community Health Workers: Train and deploy community health workers who can provide maternal health education, support, and basic healthcare services to pregnant women in their communities. These workers can conduct regular check-ups, provide guidance on nutrition and hygiene, and refer women to healthcare facilities when necessary.

4. Maternal Health Vouchers: Introduce voucher programs that provide pregnant women with financial assistance to access maternal health services. These vouchers can cover the cost of prenatal care, delivery, postnatal care, and emergency obstetric services, ensuring that women have the financial means to seek appropriate care.

To simulate the impact of these recommendations on improving access to maternal health, a methodology could include the following steps:

1. Define the target population: Identify the specific population or region where the recommendations will be implemented. This could be a specific community, region, or country.

2. Collect baseline data: Gather data on the current state of maternal health in the target population, including indicators such as maternal mortality rates, access to prenatal care, and utilization of healthcare services.

3. Define indicators: Determine the key indicators that will be used to measure the impact of the recommendations. These could include indicators such as the number of women accessing prenatal care, the reduction in maternal mortality rates, or the increase in the percentage of women receiving postnatal care.

4. Develop a simulation model: Create a simulation model that incorporates the recommendations and their potential impact on the defined indicators. This model should consider factors such as the population size, the availability of healthcare facilities, and the existing healthcare infrastructure.

5. Input data and run simulations: Input the baseline data into the simulation model and run multiple simulations to assess the potential impact of the recommendations. This can help estimate the expected changes in the defined indicators and identify any potential challenges or limitations.

6. Analyze results: Analyze the results of the simulations to determine the potential impact of the recommendations on improving access to maternal health. Assess the changes in the defined indicators and identify any additional interventions or adjustments that may be needed.

7. Refine and iterate: Based on the analysis of the simulation results, refine the recommendations and the simulation model if necessary. Repeat the simulation process to further assess the potential impact and make any necessary adjustments.

By following this methodology, stakeholders can gain insights into the potential impact of the recommendations on improving access to maternal health and make informed decisions on their implementation.

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