澳大利亚洄游淡水鱼金鲈(Macquaria ambigua)基因组对气候变化的脆弱性。

IF 4.5 1区 生物学 Q1 BIOCHEMISTRY & MOLECULAR BIOLOGY Molecular Ecology Pub Date : 2024-11-04 DOI:10.1111/mec.17570
Emily J Booth, Chris J Brauer, Jonathan Sandoval-Castillo, Katherine Harrisson, Meaghan L Rourke, Catherine R M Attard, Dean M Gilligan, Zeb Tonkin, Jason D Thiem, Peter J Unmack, Brenton Zampatti, Luciano B Beheregaray
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引用次数: 0

摘要

基因组脆弱性是衡量一个种群在预测的气候条件下维持最佳基因型-环境关联所需的进化变化程度。水生物种,尤其是洄游外温动物,在基因组脆弱性的研究中大多代表性不足。这类物种可能具备追踪合适栖息地和传播多样性的良好条件,从而促进对未来气候的适应。我们研究了澳大利亚广阔的墨累-达令盆地(MDB)中具有重要洄游和渔业价值的金鲈鱼(Macquaria ambigua)的全域基因组多样性和基因组脆弱性。墨累达令盆地的水文气候梯度陡峭,是世界上气候和溪流变化最大的地区之一。水道的分割和阻塞、水流机制的改变以及逐渐变热和变干的气候使金鲈受到威胁。我们从 186 个 MDB 地点收集了 1049 个个体的基因组数据集。尽管在整个分布区范围内基因流动频繁,但较温暖的北部集水区的金鲈比较凉爽的南部集水区的金鲈具有更高的预测脆弱性。一种新的交叉验证方法表明,这些预测对排除个别流域并不敏感。这些结果引起了人们对暖区边缘种群的关注,因为这些种群可能已经接近其热极限。不过,据预测,在最干旱、水文变化最大的集水区发现的具有有利于适应气候的功能变异的种群的脆弱性较低。本土鱼类管理计划,如人工繁殖和放养,应考虑基因组脆弱性的空间差异,以改善气候变化下的保护结果,即使是对于具有高度连通性的分散物种也是如此。
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Genomic Vulnerability to Climate Change of an Australian Migratory Freshwater Fish, the Golden Perch (Macquaria ambigua).

Genomic vulnerability is a measure of how much evolutionary change is required for a population to maintain optimal genotype-environment associations under projected climates. Aquatic species, and in particular migratory ectotherms, are largely underrepresented in studies of genomic vulnerability. Such species might be well equipped for tracking suitable habitat and spreading diversity that could promote adaptation to future climates. We characterised range-wide genomic diversity and genomic vulnerability in the migratory and fisheries-important golden perch (Macquaria ambigua) from Australia's expansive Murray-Darling Basin (MDB). The MDB has a steep hydroclimatic gradient and is one of the world's most variable regions in terms of climate and streamflow. Golden perch are threatened by fragmentation and obstruction of waterways, alteration of flow regimes, and a progressively hotter and drying climate. We gathered a genomic dataset of 1049 individuals from 186 MDB localities. Despite high range-wide gene flow, golden perch in the warmer, northern catchments had higher predicted vulnerability than those in the cooler, southern catchments. A new cross-validation approach showed that these predictions were insensitive to the exclusion of individual catchments. The results raise concern for populations at warm range edges, which may already be close to their thermal limits. However, a population with functional variants beneficial for climate adaptation found in the most arid and hydrologically variable catchment was predicted to be less vulnerable. Native fish management plans, such as captive breeding and stocking, should consider spatial variation in genomic vulnerability to improve conservation outcomes under climate change, even for dispersive species with high connectivity.

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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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