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本文引用的文献

1
Large-scale impacts of sea star wasting disease (SSWD) on intertidal sea stars and implications for recovery.海星大面积损耗疾病(SSWD)对潮间带海星的影响及其对恢复的意义。
PLoS One. 2018 Mar 20;13(3):e0192870. doi: 10.1371/journal.pone.0192870. eCollection 2018.
2
Detecting polygenic selection in marine populations by combining population genomics and quantitative genetics approaches.通过结合群体基因组学和数量遗传学方法检测海洋种群中的多基因选择。
Curr Zool. 2016 Dec;62(6):603-616. doi: 10.1093/cz/zow088. Epub 2016 Aug 23.
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Navigating the currents of seascape genomics: how spatial analyses can augment population genomic studies.驾驭海景观基因组学的潮流:空间分析如何增强群体基因组研究。
Curr Zool. 2016 Dec;62(6):581-601. doi: 10.1093/cz/zow067. Epub 2016 Jul 6.
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Winter storms drive rapid phenotypic, regulatory, and genomic shifts in the green anole lizard.冬季风暴推动了绿色安乐蜥的快速表型、调控和基因组变化。
Science. 2017 Aug 4;357(6350):495-498. doi: 10.1126/science.aam5512. Epub 2017 Aug 3.
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THE BOTTLENECK EFFECT AND GENETIC VARIABILITY IN POPULATIONS.种群中的瓶颈效应与遗传变异性
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Responsible RAD: Striving for best practices in population genomic studies of adaptation.负责任的 RAD:努力在适应的群体基因组研究中实践最佳方法。
Mol Ecol Resour. 2017 May;17(3):366-369. doi: 10.1111/1755-0998.12677.
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Haplotyping RAD loci: an efficient method to filter paralogs and account for physical linkage.对 RAD 位点进行单体型分析:一种有效过滤旁系同源基因和考虑物理连锁的方法。
Mol Ecol Resour. 2017 Sep;17(5):955-965. doi: 10.1111/1755-0998.12647. Epub 2017 Feb 9.
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Breaking RAD: an evaluation of the utility of restriction site-associated DNA sequencing for genome scans of adaptation.打破常规:对限制性位点相关DNA测序在适应性基因组扫描中的效用评估
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Fine-scale partitioning of genomic variation among recruits in an exploited fishery: causes and consequences.受捕捞渔业中幼鱼群体基因组变异的精细划分:原因与后果
Sci Rep. 2016 Oct 26;6:36095. doi: 10.1038/srep36095.

海星消耗性疾病导致的物种灭绝和关键物种的快速遗传变化。

Decimation by sea star wasting disease and rapid genetic change in a keystone species, .

机构信息

School of Natural Sciences, University of California, Merced, CA 95343;

Department of Biological Sciences, University of Rhode Island, Kingston, RI 02881.

出版信息

Proc Natl Acad Sci U S A. 2018 Jul 3;115(27):7069-7074. doi: 10.1073/pnas.1800285115. Epub 2018 Jun 18.

DOI:10.1073/pnas.1800285115
PMID:29915091
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC6142263/
Abstract

Standing genetic variation enables or restricts a population's capacity to respond to changing conditions, including the extreme disturbances expected to increase in frequency and intensity with continuing anthropogenic climate change. However, we know little about how populations might respond to extreme events with rapid genetic shifts, or how population dynamics may influence and be influenced by population genomic change. We use a range-wide epizootic, sea star wasting disease, that onset in mid-2013 and caused mass mortality in to explore how a keystone marine species responded to an extreme perturbation. We integrated field surveys with restriction site-associated DNA sequencing data to () describe the population dynamics of mortality and recovery, and () compare allele frequencies in mature before the disease outbreak with allele frequencies in adults and new juveniles after the outbreak, to identify whether selection may have occurred. We found suffered 81% mortality in the study region between 2012 and 2015, and experienced a concurrent 74-fold increase in recruitment beginning in late 2013. Comparison of pre- and postoutbreak adults revealed significant allele frequency changes at three loci, which showed consistent changes across the large majority of locations. Allele frequency shifts in juvenile (spawned from premortality adults) were consistent with those seen in adult survivors. Such parallel shifts suggest detectable signals of selection and highlight the potential for persistence of this change in subsequent generations, which may influence the resilience of this keystone species to future outbreaks.

摘要

遗传变异使种群能够或限制其应对变化条件的能力,包括预计随着人为气候变化的继续而增加频率和强度的极端干扰。然而,我们对于种群如何通过快速的遗传变化来应对极端事件,以及种群动态如何影响和受种群基因组变化的影响,知之甚少。我们利用广泛的流行疾病——海星消耗疾病,该疾病始于 2013 年年中,导致大量死亡,来探索关键海洋物种如何应对极端干扰。我们将实地调查与限制位点相关的 DNA 测序数据相结合,()描述死亡率和恢复的种群动态,以及()比较疾病爆发前成熟个体的等位基因频率与爆发后的成年个体和新幼体的等位基因频率,以确定是否可能发生选择。我们发现,在 2012 年至 2015 年期间,该研究区域的 81%的个体死亡,并且自 2013 年末以来,同时出现了 74 倍的招募增加。对爆发前后的成年个体的比较表明,在三个基因座上发生了显著的等位基因频率变化,这些变化在绝大多数地点都一致。幼体(由早期死亡的成年个体产生)的等位基因频率变化与成年幸存者所见的变化一致。这种平行变化表明存在可检测的选择信号,并强调了这种变化在后代中持续存在的潜力,这可能会影响这种关键物种对未来爆发的恢复能力。