三种熊的近亲繁殖和遗传负荷与人口统计学历史的联系

IF 3.5 2区 生物学 Q1 EVOLUTIONARY BIOLOGY
Heather R. Clendenin, Matthew D. Pollard, Emily E. Puckett
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引用次数: 0

摘要

历史和当代人口统计影响有害变异和近交萧条,这意味着仅测量遗传多样性并不能捕捉到遗传侵蚀的细微差别。将长期进化过程产生的基因组特征与当代变化产生的基因组特征进行对比,可能有助于区分更可能或更不可能持续存在低多样性或高遗传负荷的种群。为了更好地理解这些相互作用,我们研究了三种熊的近亲繁殖和遗传负荷特征:美洲黑熊(Ursus americanus)、棕熊(U. arctos)和北极熊(U. maritimus)。我们在每个物种的地理范围内取样,以代表种群历史和生态的种内变化。我们发现,相对于种与种之间,类群间的ROH负担变化更大。混合群体的杂合性普遍较高,ROH负担较低;这种模式在小的、孤立的种群中正好相反。在较大的混合种群中发现了更大的多样性,包括有害变异,特别是那些历史有效种群规模(NE)较高的种群。然而,这并不一定对应于更多实现的遗传负荷。北极熊的东北向和实际负荷较低,而棕熊和美洲黑熊在东北向增加时表现出较少的实际负荷,在最近出现瓶颈和/或最近有近亲交配迹象的种群中表现出较大的实际负荷。这一优势提供了对种群和物种遗传健康和遗传侵蚀威胁的深入了解,可以对威胁状况的评估做出有意义的贡献。在美国黑熊中,这些指标的综合揭示了路易斯安那州人口的一种趋势,这可能是基于当代人口变化的管理干预的诊断。在棕熊中,亚平宁熊一直在其他种群的价值范围之外,加强了先前对该种群的隔离,近亲繁殖和清洗的描述。在北极熊中,没有区域性的趋势值得关注基因侵蚀。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

Linking Measures of Inbreeding and Genetic Load to Demographic Histories Across Three Species of Bears

Linking Measures of Inbreeding and Genetic Load to Demographic Histories Across Three Species of Bears

Historic and contemporary demography affect deleterious variation and inbreeding depression, meaning that measuring genetic diversity alone does not capture the nuances of genetic erosion. Contrasting genomic signatures generated by long-term evolutionary processes to those generated by contemporary changes may help differentiate between populations more or less likely to persist with low diversity or high genetic load. To better understand these interactions, we examined signatures of inbreeding and genetic load across three species of bears: American black (Ursus americanus), brown (U. arctos), and polar (U. maritimus). We sampled across each species' geographic range to represent intraspecific variation in demographic history and ecology. We found that ROH burden often varied more among populations within lineages of species than between species. Admixed populations generally had higher heterozygosity and lower ROH burden; this pattern reversed in small, isolated populations. Greater diversity, including harmful variation, was found in larger, admixed populations—especially those with higher historical effective population sizes (NE). However, this did not necessarily correspond to more realized genetic load. While polar bears had low NE and low realized load, brown and American black bears exhibited less realized load as NE increased and greater realized load in populations with recent bottlenecks and/or indications of recent consanguineous matings. This vantage offers insight into genetic health and threats of genetic erosion within populations and species, which can meaningfully contribute to assessments of threat status. In American black bears, the composite of these metrics revealed a trend in the Louisiana population that may be diagnostic for management intervention based on contemporary demographic changes. In brown bears, the Apennine bear consistently fell outside of the range of values in other populations, reinforcing previous descriptions of isolation, inbreeding, and purging in this population. In polar bears, there were no regional trends that warranted concern with respect to genetic erosion.

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来源期刊
Evolutionary Applications
Evolutionary Applications 生物-进化生物学
CiteScore
8.50
自引率
7.30%
发文量
175
审稿时长
6 months
期刊介绍: Evolutionary Applications is a fully peer reviewed open access journal. It publishes papers that utilize concepts from evolutionary biology to address biological questions of health, social and economic relevance. Papers are expected to employ evolutionary concepts or methods to make contributions to areas such as (but not limited to): medicine, agriculture, forestry, exploitation and management (fisheries and wildlife), aquaculture, conservation biology, environmental sciences (including climate change and invasion biology), microbiology, and toxicology. All taxonomic groups are covered from microbes, fungi, plants and animals. In order to better serve the community, we also now strongly encourage submissions of papers making use of modern molecular and genetic methods (population and functional genomics, transcriptomics, proteomics, epigenetics, quantitative genetics, association and linkage mapping) to address important questions in any of these disciplines and in an applied evolutionary framework. Theoretical, empirical, synthesis or perspective papers are welcome.
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