Adaptational lag to temperature in valley oak (Quercus lobata) can be mitigated by genome-informed assisted gene flow
Adaptational lag to temperature in valley oak (Quercus lobata) can be mitigated by genome-informed assisted gene flow
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DOI：
10.1073/pnas.1908771116
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发表时间：
2019-12-10
影响因子：
11.1
通讯作者：
Sork, Victoria L.
中科院分区：
文献类型：
--
作者：
Browne, Luke;Wright, Jessica W.;Sork, Victoria L.
据预测，下一个世纪的气候变化将导致自然系统广泛的适应不良。这一预测，以及许多可持续管理和保护实践，假设物种适应其当前的气候。然而，这一假设很少得到验证。使用大规模的共同花园实验结合全基因组测序，我们发现，山谷橡树（栎），在加州生态系统中的基础树种，显示出适应滞后的温度，最快的增长率发生在较低的温度比人口目前经历。根据现实的排放情景，未来的变暖预计将导致进一步的温度适应不良和减少谷橡树的增长率。然后，我们确定了预测在温暖的温度下生长相对较快的基因型，并证明了基于其基因型选择种子来源有可能减轻未来气候变暖对谷栎生长速率的预测负面影响。这些结果表明，当地适应的信念，许多管理和保护措施，如使用当地的种子资源进行恢复，可能不适用于某些物种。如果当代的适应滞后是司空见惯的，我们将需要新的方法来帮助减轻气候变暖对自然系统的预期负面影响。我们提出了一种这样的方法，“基因组信息辅助基因流”，最佳匹配个人未来气候的基础上基因型-表型-环境协会。
Climate change over the next century is predicted to cause widespread maladaptation in natural systems. This prediction, as well as many sustainable management and conservation practices, assumes that species are adapted to their current climate. However, this assumption is rarely tested. Using a large-scale common garden experiment combined with genome-wide sequencing, we found that valley oak (Quercus lobata), a foundational tree species in California ecosystems, showed a signature of adaptational lag to temperature, with fastest growth rates occurring at cooler temperatures than populations are currently experiencing. Future warming under realistic emissions scenarios was predicted to lead to further maladaptation to temperature and reduction in growth rates for valley oak. We then identified genotypes predicted to grow relatively fast under warmer temperatures and demonstrated that selecting seed sources based on their genotype has the potential to mitigate predicted negative consequences of future climate warming on growth rates in valley oak. These results illustrate that the belief of local adaptation underlying many management and conservation practices, such as using local seed sources for restoration, may not hold for some species. If contemporary adaptational lag is commonplace, we will need new approaches to help alleviate predicted negative consequences of climate warming on natural systems. We present one such approach, "genome-informed assisted gene flow," which optimally matches individuals to future climates based on genotype-phenotype-environment associations.