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鲑科鱼类适应性定量遗传成分综述:对适应未来变化的启示

A review of quantitative genetic components of fitness in salmonids: implications for adaptation to future change.

作者信息

Carlson Stephanie M, Seamons Todd R

机构信息

Department of Applied Mathematics and Statistics, University of California Santa Cruz, CA, USA.

School of Aquatic and Fishery Sciences, University of Washington Seattle, WA, USA.

出版信息

Evol Appl. 2008 May;1(2):222-38. doi: 10.1111/j.1752-4571.2008.00025.x.

DOI:10.1111/j.1752-4571.2008.00025.x
PMID:25567628
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC3352437/
Abstract

Salmonine fishes are commonly subjected to strong, novel selective pressures due to anthropogenic activities and global climate change, often resulting in population extinction. Consequently, there is considerable interest in predicting the long-term evolutionary trajectories of extant populations. Knowledge of the genetic architecture of fitness traits is integral to making these predictions. We reviewed the published, peer-reviewed literature for estimates of heritability and genetic correlation for fitness traits in salmonine fishes with two broad goals in mind: summarization of published data and testing for differences among categorical variables (e.g., species, life history type, experimental conditions). Balanced coverage of variables was lacking and estimates for wild populations and behavioral traits were nearly absent. Distributions of heritability estimates were skewed toward low values and distributions of genetic correlations toward large, positive values, suggesting that significant potential for evolution of traits exists. Furthermore, experimental conditions had a direct effect on h (2) estimates, and other variables had more complex effects on h (2) and r G estimates, suggesting that available estimates may be insufficient for use in models to predict evolutionary change in wild populations. Given this and other inherent complicating factors, making accurate predictions of the evolutionary trajectories of salmonine fishes will be a difficult task.

摘要

由于人为活动和全球气候变化,鲑科鱼类通常面临强大的、新出现的选择压力,这常常导致种群灭绝。因此,人们对预测现存种群的长期进化轨迹有着浓厚兴趣。了解适应性性状的遗传结构对于做出这些预测至关重要。我们查阅了已发表的、经过同行评审的文献,以获取鲑科鱼类适应性性状的遗传力和遗传相关性估计值,心中有两个主要目标:总结已发表的数据,并检验分类变量(如物种、生活史类型、实验条件)之间的差异。变量的均衡覆盖不足,几乎没有野生种群和行为性状的估计值。遗传力估计值的分布偏向低值,遗传相关性的分布偏向大的正值,这表明性状进化具有显著潜力。此外,实验条件对h(2)估计值有直接影响,其他变量对h(2)和rG估计值有更复杂的影响,这表明现有估计值可能不足以用于预测野生种群进化变化的模型。鉴于此以及其他内在的复杂因素,准确预测鲑科鱼类的进化轨迹将是一项艰巨的任务。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/de53/3352437/1480a312e41a/eva0001-0222-f8.jpg
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https://cdn.ncbi.nlm.nih.gov/pmc/blobs/de53/3352437/a04b0eb75f02/eva0001-0222-f2.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/de53/3352437/82c962a85bb4/eva0001-0222-f7.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/de53/3352437/59b7b39120c6/eva0001-0222-f6.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/de53/3352437/1480a312e41a/eva0001-0222-f8.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/de53/3352437/3ceaef614a22/eva0001-0222-f1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/de53/3352437/740706a1b54d/eva0001-0222-f4.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/de53/3352437/9d9cc226cfa7/eva0001-0222-f5.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/de53/3352437/a04b0eb75f02/eva0001-0222-f2.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/de53/3352437/82c962a85bb4/eva0001-0222-f7.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/de53/3352437/59b7b39120c6/eva0001-0222-f6.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/de53/3352437/1480a312e41a/eva0001-0222-f8.jpg

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