Immediate Genetic Augmentation and Enhanced Habitat Connectivity Are Required to Secure the Future of an Iconic Endangered Freshwater Fish Population

IF 3.5 2区 生物学 Q1 EVOLUTIONARY BIOLOGY
Alexandra Pavlova, Luke Pearce, Felicity Sturgiss, Erin Lake, Paul Sunnucks, Mark Lintermans
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Abstract

Genetic diversity is rapidly lost from small, isolated populations by genetic drift. Measuring the level of genetic drift using effective population size (Ne) is highly useful for management. Single-cohort genetic Ne estimators approximate the number of breeders in one season (Nb): a value < 100 signals likely inbreeding depression. Per-generation Ne < 1000 estimated from multiple cohort signals reduced adaptive potential. Natural populations rarely meet assumptions of Ne-estimation, so interpreting estimates is challenging. Macquarie perch is an endangered Australian freshwater fish threatened by severely reduced range, habitat loss, and fragmentation. To counteract low Ne, augmented gene flow is being implemented in several populations. In the Murrumbidgee River, unknown effects of water management on among-site connectivity impede the design of effective interventions. Using DArT SNPs for 328 Murrumbidgee individuals sampled across several sites and years with different flow conditions, we assessed population structure, site isolation, heterozygosity, inbreeding, and Ne. We tested for inbreeding depression, assessed genetic diversity and dispersal, and evaluated whether individuals translocated from Cataract Reservoir to the Murrumbidgee River bred, and interbred with local fish. We found strong genetic structure, indicating complete or partial isolation of river fragments. This structure violates assumptions of Ne estimation, resulting in strongly downwardly biased Nb estimates unless assessed per-site, highlighting the necessity to account for population structure while estimating Ne. Inbreeding depression was not detected, but with low Nb at each site, inbreeding and inbreeding depression are likely. These results flagged the necessity to address within-river population connectivity through flow management and genetic mixing through translocations among sites and from other populations. Three detected genetically diverse offspring of a translocated Cataract fish and a local parent indicated that genetic mixing is in progress. Including admixed individuals in estimates yielded lower Ne but higher heterozygosity, suggesting heterozygosity is a preferable indicator of genetic augmentation.

Abstract Image

为确保一个标志性濒危淡水鱼种群的未来,需要立即进行基因扩增并加强栖息地的连通性
遗传多样性会因遗传漂变而迅速从孤立的小种群中消失。用有效种群大小(Ne)来衡量遗传漂变的程度对管理非常有用。单群遗传 Ne 估计值近似于一季中繁殖者的数量(Nb):数值大于等于 100 表示可能存在近交抑郁。根据多队列估计的每代 Ne 值为 1000,表明适应潜力降低。自然种群很少符合Ne估计的假设,因此解释估计值具有挑战性。麦格理鲈是一种濒临灭绝的澳大利亚淡水鱼,受到栖息地严重减少和破碎化的威胁。为了应对低Ne值问题,一些种群正在实施基因流增强措施。在墨伦比奇河(Murrumbidgee River),水管理对不同地点之间连通性的未知影响阻碍了有效干预措施的设计。利用在不同水流条件下的多个地点和年份采样的 328 个 Murrumbidgee 个体的 DArT SNPs,我们评估了种群结构、地点隔离、杂合度、近亲繁殖和 Ne。我们检测了近亲繁殖抑制,评估了遗传多样性和扩散,并评估了从卡塔拉克水库迁移到墨伦比奇河的个体是否繁殖,以及是否与当地鱼类杂交。我们发现了很强的遗传结构,表明河流片段完全或部分隔离。这种结构违反了Ne估计的假设,导致Nb估计值严重向下偏移,除非对每个地点进行评估,这突出了在估计Ne时考虑种群结构的必要性。虽然没有检测到近交抑郁,但由于每个地点的 Nb 值较低,近亲繁殖和近交抑郁很有可能发生。这些结果表明,有必要通过水流管理来解决河内种群的连通性问题,并通过在不同地点之间以及从其他种群进行易位来实现基因混合。三条检测到的基因不同的后代是由一条移植的白内障鱼和一条本地亲鱼组成的,这表明基因混合正在进行中。将混血个体纳入估计值会降低 Ne 值,但会提高杂合度,这表明杂合度是遗传增殖的首选指标。
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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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