Otolith and Genomic Data Reveal Temporal Insights Into Stocking Across a Large River Basin in a Mobile, Long-Lived Australian Freshwater Fish Species

IF 4.5 1区 生物学 Q1 BIOCHEMISTRY & MOLECULAR BIOLOGY
Katherine A. Harrisson, Luciano B. Beheregaray, Christopher M. Bice, Emily J. Booth, Chris J. Brauer, Gavin L. Butler, David Dawson, Olga Dudchenko, Benjamin G. Fanson, Graeme Hackett, Annique Harris, Matthew J. Jones, Parwinder Kaur, Wayne M. Koster, Kyne Krusic-Golub, Erez Lieberman Aiden, Jason A. Lieschke, Jarod Lyon, John R. Morrongiello, Nicholas P. Murphy, James O'Dwyer, Scott M. C. Raymond, Meaghan L. Rourke, Arron Strawbridge, Jason D. Thiem, Zeb Tonkin, Jian D. L. Yen, Brenton P. Zampatti
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Abstract

Freshwater ecosystems and their biota are under increasing pressure from anthropogenic stressors. In response to declining fish stocks, hatchery and stocking programmes are widely implemented as core components of restoration and management strategies, with positive outcomes for some wild populations. Despite this, stocking remains contentious due to potential genetic and ecological risks to wild populations. Monitoring and evaluation of stocking outcomes are critical to ensuring the long-term sustainability of wild populations, but identification of stocked individuals post-release remains a key challenge, particularly for mobile species. In this study, we combined otolith (natal origin and age) and genomic data to identify stocked individuals and evaluate the genetic implications of stocking for a culturally and socioeconomically important and mobile freshwater fish, golden perch Macquaria ambigua (family: Percichthyidae), across Australia's Murray–Darling Basin (MDB). We also generated a chromosome-level genome assembly. Many close kin were detected across the MDB, increasing in prevalence over recent decades and mostly of hatchery origin. Rivers with many close kin were associated with low effective population sizes (Ne < 100). Genetic signatures of stocking varied according to local context, being most pronounced in but not restricted to rivers considered functionally isolated for management purposes. Where fish are stocked into rivers that are part of the connected metapopulation, there is scope to modify current stocking practices to avoid over-representation of related stocked individuals. Increased focus on the genetic diversity of stocked fish is likely to promote the long-term persistence of golden perch in the wild.

Abstract Image

耳石和基因组数据揭示了一种流动的、长寿的澳大利亚淡水鱼在大流域放养的时间见解。
淡水生态系统及其生物群正受到来自人为压力源的越来越大的压力。为了应对鱼类资源的减少,孵化场和放养计划作为恢复和管理战略的核心组成部分得到了广泛实施,对一些野生种群产生了积极的影响。尽管如此,由于对野生种群潜在的遗传和生态风险,放养仍然存在争议。监测和评估放养结果对确保野生种群的长期可持续性至关重要,但放养后个体的识别仍然是一个关键挑战,特别是对流动物种。在这项研究中,我们结合耳石(出生来源和年龄)和基因组数据来识别放养的个体,并评估放养对澳大利亚墨累-达令河盆地(MDB)的一种具有文化和社会经济意义的流动淡水鱼——金鲈(科:鲈科)的遗传影响。我们还生成了染色体水平的基因组组装。在整个MDB中发现了许多近亲,近几十年来患病率增加,主要来自孵化场。具有许多近亲的河流与较低的有效种群规模有关
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来源期刊
Molecular Ecology
Molecular Ecology 生物-进化生物学
CiteScore
8.40
自引率
10.20%
发文量
472
审稿时长
1 months
期刊介绍: Molecular Ecology publishes papers that utilize molecular genetic techniques to address consequential questions in ecology, evolution, behaviour and conservation. Studies may employ neutral markers for inference about ecological and evolutionary processes or examine ecologically important genes and their products directly. We discourage papers that are primarily descriptive and are relevant only to the taxon being studied. Papers reporting on molecular marker development, molecular diagnostics, barcoding, or DNA taxonomy, or technical methods should be re-directed to our sister journal, Molecular Ecology Resources. Likewise, papers with a strongly applied focus should be submitted to Evolutionary Applications. Research areas of interest to Molecular Ecology include: * population structure and phylogeography * reproductive strategies * relatedness and kin selection * sex allocation * population genetic theory * analytical methods development * conservation genetics * speciation genetics * microbial biodiversity * evolutionary dynamics of QTLs * ecological interactions * molecular adaptation and environmental genomics * impact of genetically modified organisms
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