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应用地理种群结构(GPS)算法进行野生和圈养大猩猩的生物地理分析。

Application of the geographic population structure (GPS) algorithm for biogeographical analyses of wild and captive gorillas.

机构信息

Manipal Centre for Natural Sciences (MCNS), Manipal Academy of Higher Education (MAHE), University building, Lab 11, Madhav Nagar, Manipal, Karnataka, 576104, India.

Department of Medical Genetics, Kasturba Medical College, Manipal Academy of Higher Education, Manipal, Karnataka, India.

出版信息

BMC Bioinformatics. 2019 Feb 5;20(Suppl 1):35. doi: 10.1186/s12859-018-2568-5.

Abstract

BACKGROUND

The utilization of high resolution genome data has important implications for the phylogeographical evaluation of non-human species. Biogeographical analyses can yield detailed understanding of their population biology and facilitate the geo-localization of individuals to promote their efficacious management, particularly when bred in captivity. The Geographic Population Structure (GPS) algorithm is an admixture based tool for inference of biogeographical affinities and has been employed for the geo-localization of various human populations worldwide. Here, we applied the GPS tool for biogeographical analyses and localization of the ancestral origins of wild and captive gorilla genomes, of unknown geographic source, available in the Great Ape Genome Project (GAGP), employing Gorillas with known ancestral origin as the reference data.

RESULTS

Our findings suggest that GPS was successful in recapitulating the population history and estimating the geographic origins of all gorilla genomes queried and localized the wild gorillas with unknown geographical origin < 150 km of National Parks/Wildlife Reserves within the political boundaries of countries, considered as prominent modern-day abode for gorillas in the wild. Further, the GPS localization of most captive-born gorillas was congruent with their previously presumed ancestral homes.

CONCLUSIONS

Currently there is limited knowledge of the ancestral origins of most North American captive gorillas, and our study highlights the usefulness of GPS for inferring ancestry of captive gorillas. Determination of the native geographical source of captive gorillas can provide valuable information to guide breeding programs and ensure their appropriate management at the population level. Finally, our findings shine light on the broader applicability of GPS for protecting the genetic integrity of other endangered non-human species, where controlled breeding is a vital component of their conservation.

摘要

背景

高分辨率基因组数据的利用对非人类物种的系统地理学评估具有重要意义。生物地理分析可以深入了解它们的种群生物学,并有助于将个体进行地理定位,以促进其有效的管理,特别是在圈养繁殖的情况下。地理种群结构(GPS)算法是一种基于混合的推断生物地理亲缘关系的工具,已被用于世界各地各种人类群体的地理定位。在这里,我们应用 GPS 工具对地理种群结构进行分析,并对来自 Great Ape Genome Project(GAGP)中未知地理来源的野生和圈养大猩猩基因组的祖先起源进行定位,使用具有已知祖先起源的大猩猩作为参考数据。

结果

我们的研究结果表明,GPS 成功地再现了种群历史,并估计了所有被查询的大猩猩基因组的地理起源,并将地理来源未知的野生大猩猩定位在国家政治边界内的国家公园/野生动物保护区<150 公里范围内,这些地区被认为是野生大猩猩的现代主要栖息地。此外,GPS 对大多数圈养出生的大猩猩的定位与其先前假定的祖籍相符。

结论

目前,大多数北美的圈养大猩猩的祖先起源知之甚少,我们的研究强调了 GPS 推断圈养大猩猩祖先的有用性。确定圈养大猩猩的本土地理来源可以提供有价值的信息,以指导繁殖计划,并确保在种群水平上对其进行适当管理。最后,我们的研究结果表明,GPS 在保护其他濒危非人类物种的遗传完整性方面具有更广泛的适用性,在这些物种中,有控制的繁殖是其保护的重要组成部分。

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