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Genetic connectivity and population structure of African savanna elephants (Loxodonta africana) in Tanzania

机译:坦桑尼亚非洲大草原大象(Loxodonta Africana)的遗传连通性和人口结构

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Increasing human population growth, exurban development, and associated habitat fragmentation is accelerating the isolation of many natural areas and wildlife populations across the planet. In Tanzania, rapid and ongoing habitat conversion to agriculture has severed many of the country's former wildlife corridors between protected areas. To identify historically linked protected areas, we investigated the genetic structure and gene flow of African savanna elephants in Tanzania using microsatellite and mitochondrial DNA markers in 688 individuals sampled in 2015 and 2017. Our results indicate distinct population genetic structure within and between ecosystems across Tanzania, and reveal important priority areas for connectivity conservation. In northern Tanzania, elephants sampled from the Tarangire‐Manyara ecosystem appear marginally, yet significantly isolated from elephants sampled from the greater Serengeti ecosystem (mean FST?=?0.03), where two distinct subpopulations were identified.Unexpectedly, elephants in the Lake Manyara region appear to be more closely related to those across the East African Rift wall in the Ngorongoro Conservation Area than they are to the neighboring Tarangire subpopulations. We concluded that the Rift wall has had a negligible influence on genetic differentiation up to this point, but differentiation may accelerate in the future because of ongoing loss of corridors in the area. Interestingly, relatively high genetic similarity was found between elephants in Tarangire and Ruaha although they are separated by 400?km. In southern Tanzania, there was little evidence of female‐mediated gene flow between Ruaha and Selous, probably due to the presence of the Udzungwa Mountains between them. Despite observing evidence of significant isolation, the populations of elephants we examined generally exhibited robust levels of allelic richness (mean AR?=?9.96), heterozygosity (mean μHE?=?0.73), and effective population sizes (mean Ne?=?148). Our results may inform efforts to restore wildlife corridors between protected areas in Tanzania in order to facilitate gene flow for long‐term survival of elephants and other species.
机译:提高人口人口增长,外峡发展和相关栖息地分散正在加速孤立在地球上的许多自然区域和野生动物人口。在坦桑尼亚,施法的迅速和持续的栖息地转换为农业已切断了许多国家前野生动物在保护区之间走廊。为了识别历史相关的保护区,我们研究了在2015年和2017年的688个个人中使用微卫星和线粒体DNA标记的坦桑尼亚非洲大草原大象的遗传结构和基因流动。我们的结果表明坦桑尼亚的生态系统内和生态系统之间的不同人口遗传结构。并揭示连接性保护的重要优先领域。在坦桑尼亚北部,从塔兰吉尔 - 多萨拉生态系统中取样的大象略微出现,但从大肠道生态系统中取样的大象显着隔离(平均FST?= 0.03),其中鉴定了两个不同的群体。在湖中的大海地区的大象似乎与NGORONGORO保护区的东非裂谷墙上的人更密切相关,而不是邻近的塔兰吉尔群。我们得出结论,裂谷墙对遗传分化的影响忽略不计,但由于该地区的走廊持续损失,差异化可能会加速。有趣的是,塔兰吉尔和Ruaha的大象之间发现了相对高的遗传相似性,尽管它们被> 400 km分开。在坦桑尼亚南部,几乎没有证据表明女性介导的Ruaha和Selous之间的基因流动,可能是由于它们之间的Udzungwa山脉的存在。尽管观察了显着孤立的证据,但我们检查的大象群体通常表现出强大的等位基格丰富度(平均值AR?=α.96),杂合子(平均μHE?= 0.73),有效的人口尺寸(平均值?= 148 )。我们的结果可能会使努力恢复坦桑尼亚保护区之间的野生动物走廊,以便于大象和其他物种长期存活的基因流动。

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