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| DOI | 10.1093/evlett/qrae004 |
| Interpretation issues with genomic vulnerability arise from conceptual issues in local adaptation and maladaptation | |
| Lotterhos, Katie E. | |
| 发表日期 | 2024 |
| EISSN | 2056-3744 |
| 起始页码 | 8 |
| 结束页码 | 3 |
| 卷号 | 8期号:3 |
| 英文摘要 | As climate change causes the environment to shift away from the local optimum that populations have adapted to, fitness declines are predicted to occur. Recently, methods known as genomic offsets (GOs) have become a popular tool to predict population responses to climate change from landscape genomic data. Populations with a high GO have been interpreted to have a high genomic vulnerability to climate change. GOs are often implicitly interpreted as a fitness offset, or a change in fitness of an individual or population in a new environment compared to a reference. However, there are several different types of fitness offset that can be calculated, and the appropriate choice depends on the management goals. This study uses hypothetical and empirical data to explore situations in which different types of fitness offsets may or may not be correlated with each other or with a GO. The examples reveal that even when GOs predict fitness offsets in a common garden experiment, this does not necessarily validate their ability to predict fitness offsets to environmental change. Conceptual examples are also used to show how a large GO can arise under a positive fitness offset, and thus cannot be interpreted as a population vulnerability. These issues can be resolved with robust validation experiments that can evaluate which fitness offsets are correlated with GOs. Genomes hold important clues to how species adapt to their environments. Genomic vulnerability is a rapidly growing subfield of evolution and ecology that uses genomic data to predict how maladapted species will be in the future under climate change. This study employs critical reasoning to show that current interpretations of genomic vulnerability have limitations, as the way that it is measured does not necessarily relate to ecological and evolutionary definitions of maladaptation. Carefully designed experiments can be used, however, to validate and improve predictions of species responses to climate change. |
| 英文关键词 | validation; evaluation; machine learning; genomic offset; climate change; novel climates |
| 语种 | 英语 |
| WOS研究方向 | Evolutionary Biology |
| WOS类目 | Evolutionary Biology |
| WOS记录号 | WOS:001157818300001 |
| 来源期刊 | EVOLUTION LETTERS
 |
| 文献类型 | 期刊论文 |
| 条目标识符 | http://gcip.llas.ac.cn/handle/2XKMVOVA/306993 |
| 作者单位 | Northeastern University; Northeastern University |
| 推荐引用方式 GB/T 7714 | Lotterhos, Katie E.. Interpretation issues with genomic vulnerability arise from conceptual issues in local adaptation and maladaptation[J],2024,8(3). |
| APA | Lotterhos, Katie E..(2024).Interpretation issues with genomic vulnerability arise from conceptual issues in local adaptation and maladaptation.EVOLUTION LETTERS,8(3). |
| MLA | Lotterhos, Katie E.."Interpretation issues with genomic vulnerability arise from conceptual issues in local adaptation and maladaptation".EVOLUTION LETTERS 8.3(2024). |
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