Mechanisms and Consequences of Social Connectedness in a Wild Primate Population

野生灵长类动物群体社会联系的机制和后果

• 批准号: 8531109
• 负责人: Susan C. Alberts
• 金额: $ 32.31万
• 依托单位: DUKE UNIVERSITY
• 依托单位国家: 美国
• 财政年份: 2009
• 资助国家: 美国
• 起止时间: 2009-09-15 至 2015-08-31
• 项目状态: 已结题
• 来源: https://reporter.nih.gov/project-details/8531109
• 关键词: Accounting; Adult; Age; Aging; Aging-Related Process; Anabolism; Analysis of Variance; Animal Model; Animals; Area; Behavioral; Biological; Candidate Disease Gene; Characteristics; Data; Data Set; Elderly; Environment; Face; Female; Genes; Genetic; Genetic Variation; Glucocorticoids; Goals; Health; Heterogeneity; Hormones; Human; Individual; Infant; Intervention; Investigation; Kenya; Life; Life Cycle Stages; Longevity; Measures; Modeling; Outcome; Papio; Pathway interactions; Pattern; Personal Satisfaction; Phenotype; Physical environment; Physiological; Population; Population Study; Primates; Process; Relative (related person); Reproductive Health; Research; Research Personnel; Risk; Series; Serotonin; Shapes; Social Behavior; Social Impacts; Social Network; Social Welfare; Social isolation; Source; Staging; Stress; System; Testing; Time; Variant; Wild Animals; Work; age related; base; comparative; density; experience; functional decline; genome wide association study; insight; interest; male; member; middle age; mortality; nonhuman primate; reproductive; senescence; social; social group; trait

Studies of aging in wild animal populations, especially in our primate relatives, offer a unique set of potential benefits for understanding the processes and patterns governing human aging. The comparative perspective that animal models provide can both bring to light general principles and mechanisms that govern the aging process across species, and can highlight human-specific characteristics of aging. Additionally, in some cases datasets that are extremely difficult to gather in humans (such as fine-scaled behavioral data in natural social settings) are more readily obtainable in wild primate populations. However, despite keen interest in aging as a human health concern and the enormous progress in this area in recent decades, patterns of aging in wild animals - age-related changes not just in survival, but also in social behavior, hormone profiles, and other aspects of health and functioning - remain almost entirely undescribed. Our detailed, longitudinal data from a population of wild baboons in southern Kenya provides clear evidence both that senescence occurs, and that considerable variance among individuals is seen both in lifespan and in functional declines with age. Baboons live in stable social groups, and individuals within groups share common environments, so physical and demographic differences alone cannot account for the observed variance in the aging process and in lifespan. However, the quality and robustness of individual social relationships do vary among individuals, both within and between social groups, and this variation has both physiological and functional consequences for baboons. These results have brought social connectedness to the foreground in our ongoing, integrative analysis of variance in lifetime outcomes in this population, and have set the stage for a detailed investigation of the dynamics of social connectedness and its relationship to aging. The goals of the proposed work are to identify the components, physiological correlates, and consequences of social connectedness in the context of aging, and to identify genetic and environmental sources of variance in social connectedness. We will test the hypotheses that, in wild nonhuman primates as in humans, social connectedness is a predictor of health and well being throughout the life course; that this effect is independent of density; and that social connectedness declines with age. We will then investigate the relationship between genetic variation in a set of known biological pathways and social connectedness phenotypes. Finally, we will integrate the effects of genetic variation and environmental variation into a life span approach, using a time-series model. We will ask whether the effects that occur in earlier stages of life propagate into late life, or if social connectedness in late life is a relatively independent phenomenon. This analysis will aid in identifying stages during the life course in which prediction of and/or intervention in aging- related outcomes may be most fruitful.

对野生动物种群衰老的研究，特别是在我们的灵长类近亲中，提供了一套独特的 对理解人类衰老过程和模式的潜在益处。可比性 动物模型提供的观点既可以揭示治理的一般原则和机制 跨物种的衰老过程，可以突出人类特有的衰老特征。此外，在 在某些情况下，在人类中极难收集的数据集(例如 自然社会环境)在野生灵长类种群中更容易获得。然而，尽管有浓厚的兴趣 在老龄化作为人类健康问题以及近几十年来在这一领域取得的巨大进展方面， 野生动物的衰老-年龄相关的变化不仅在生存方面，而且在社会行为、激素谱、 以及健康和功能的其他方面--几乎完全没有描述。 我们详细的、纵向的、来自肯尼亚南部野生狒狒种群的数据提供了明确的信息 衰老发生的证据，以及个体之间存在相当大差异的证据在 寿命和功能随着年龄的增长而下降。狒狒生活在稳定的社会群体中，个体生活在群体中 共享共同的环境，因此仅凭物理和人口统计差异不能解释观察到的 老化过程和寿命的差异。然而，个人社交网络的质量和稳健性 个人之间的关系确实不同，无论是在社会群体内部还是在社会群体之间，这种差异既有 对狒狒的生理和功能影响。这些结果将社会联系带到了 我们正在进行的对这一人群终生结局差异的综合分析的前景，并有 为详细调查社会联系的动态及其与老龄化的关系奠定了基础。 拟议工作的目标是确定组件、生理关联和 老龄化背景下社会联系的后果，并确定遗传和环境 社会连通性差异的来源。我们将测试这样的假设：在野生非人灵长类动物中 人类，社会联系是整个生命过程中健康和幸福的预测因素；这种影响 与密度无关；而且这种社会联系随着年龄的增长而下降。然后我们将调查 一系列已知生物途径中的遗传变异与社会联系的关系 表型。最后，我们将把遗传变异和环境变异的影响整合到一个生命中 SPAN方法，使用时间序列模型。我们会问，发生在生命早期阶段的影响 传播到晚年，或者如果晚年的社会联系是一个相对独立的现象。这 分析将有助于识别生命过程中预测和/或干预衰老的阶段- 相关成果可能是最有成效的。

项目成果

Ovarian cycling and reproductive state shape the vaginal microbiota in wild baboons.

卵巢循环和生殖状态塑造了野生狒狒的阴道菌群。

• DOI: 10.1186/s40168-017-0228-z
• 发表时间: 2017-01-19
• 期刊: Microbiome
• 影响因子: 15.5
• 作者: Miller EA;Livermore JA;Alberts SC;Tung J;Archie EA
• 通讯作者: Archie EA

Development, diet and dynamism: longitudinal and cross-sectional predictors of gut microbial communities in wild baboons.

• DOI: 10.1111/1462-2920.12852
• 发表时间: 2016-05
• 期刊: Environmental microbiology
• 影响因子: 5.1
• 作者: Ren T;Grieneisen LE;Alberts SC;Archie EA;Wu M
• 通讯作者: Wu M

Role of Grooming in Reducing Tick Load in Wild Baboons (Papio cynocephalus).

• DOI: 10.1016/j.anbehav.2012.12.012
• 发表时间: 2013-03-01
• 期刊: ANIMAL BEHAVIOUR
• 影响因子: 2.5
• 作者: Akinyi, Mercy Y.;Tung, Jenny;Jeneby, Maamun;Patel, Nilesh B.;Altmann, Jeanne;Alberts, Susan C.
• 通讯作者: Alberts, Susan C.

When good neighbors don't need fences: Temporal landscape partitioning among baboon social groups.

• DOI: 10.1007/s00265-013-1510-0
• 发表时间: 2013-06-01
• 期刊: Behavioral ecology and sociobiology
• 影响因子: 2.3
• 作者: Markham AC;Guttal V;Alberts SC;Altmann J
• 通讯作者: Altmann J

Group Living and Male Dispersal Predict the Core Gut Microbiome in Wild Baboons

• DOI: 10.1093/icb/icx046
• 发表时间: 2017-10-01
• 期刊: INTEGRATIVE AND COMPARATIVE BIOLOGY
• 影响因子: 2.6
• 作者: Grieneisen, Laura E.;Livermore, Josh;Archie, Elizabeth A.
• 通讯作者: Archie, Elizabeth A.