预测单性状进化对从气候变化的人口影响中拯救植物种群的贡献。

IF 3.7 1区 生物学 Q2 EVOLUTIONARY BIOLOGY
Evolution Letters Pub Date : 2025-07-08 eCollection Date: 2025-10-01 DOI:10.1093/evlett/qraf019
Diane R Campbell, John M Powers, Justin Kipness
{"title":"预测单性状进化对从气候变化的人口影响中拯救植物种群的贡献。","authors":"Diane R Campbell, John M Powers, Justin Kipness","doi":"10.1093/evlett/qraf019","DOIUrl":null,"url":null,"abstract":"<p><p>Evolutionary adaptation can allow a population to persist in the face of a new environmental challenge. With many populations now threatened by environmental change, it is important to understand whether this process of evolutionary rescue is feasible under natural conditions, yet work on this topic has been largely theoretical. We used unique long-term data to parameterize deterministic and stochastic models of the contribution of 1 trait to evolutionary rescue using field estimates for the subalpine plant <i>Ipomopsis aggregata</i> and hybrids with its close relative <i>I. tenuituba</i>. In the absence of evolution or plasticity, the 2 studied populations are projected to go locally extinct due to earlier snowmelt under climate change, which imposes drought conditions. Phenotypic selection on specific leaf area (SLA) was estimated in 12 years and multiple populations. Those data on selection and its environmental sensitivity to annual snowmelt timing in the spring were combined with previous data on heritability of the trait, phenotypic plasticity of the trait, and the impact of snowmelt timing on mean absolute fitness. Selection favored low values of SLA (thicker leaves). The evolutionary response to selection on that single trait was insufficient to allow evolutionary rescue by itself, but in combination with phenotypic plasticity it promoted evolutionary rescue in 1 of the 2 populations. The number of years until population size would stop declining and begin to rise again was heavily dependent upon stochastic environmental changes in snowmelt timing around the trend line. Our study illustrates how field estimates of quantitative genetic parameters can be used to predict the likelihood of evolutionary rescue. Although a complete set of parameter estimates are generally unavailable, it may also be possible to predict the general likelihood of evolutionary rescue based on published ranges for phenotypic selection and heritability and the extent to which early snowmelt impacts fitness.</p>","PeriodicalId":48629,"journal":{"name":"Evolution Letters","volume":"9 5","pages":"533-547"},"PeriodicalIF":3.7000,"publicationDate":"2025-07-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12492211/pdf/","citationCount":"0","resultStr":"{\"title\":\"Predicting the contribution of single trait evolution to rescuing a plant population from demographic impacts of climate change.\",\"authors\":\"Diane R Campbell, John M Powers, Justin Kipness\",\"doi\":\"10.1093/evlett/qraf019\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p><p>Evolutionary adaptation can allow a population to persist in the face of a new environmental challenge. With many populations now threatened by environmental change, it is important to understand whether this process of evolutionary rescue is feasible under natural conditions, yet work on this topic has been largely theoretical. We used unique long-term data to parameterize deterministic and stochastic models of the contribution of 1 trait to evolutionary rescue using field estimates for the subalpine plant <i>Ipomopsis aggregata</i> and hybrids with its close relative <i>I. tenuituba</i>. In the absence of evolution or plasticity, the 2 studied populations are projected to go locally extinct due to earlier snowmelt under climate change, which imposes drought conditions. Phenotypic selection on specific leaf area (SLA) was estimated in 12 years and multiple populations. Those data on selection and its environmental sensitivity to annual snowmelt timing in the spring were combined with previous data on heritability of the trait, phenotypic plasticity of the trait, and the impact of snowmelt timing on mean absolute fitness. Selection favored low values of SLA (thicker leaves). The evolutionary response to selection on that single trait was insufficient to allow evolutionary rescue by itself, but in combination with phenotypic plasticity it promoted evolutionary rescue in 1 of the 2 populations. The number of years until population size would stop declining and begin to rise again was heavily dependent upon stochastic environmental changes in snowmelt timing around the trend line. Our study illustrates how field estimates of quantitative genetic parameters can be used to predict the likelihood of evolutionary rescue. Although a complete set of parameter estimates are generally unavailable, it may also be possible to predict the general likelihood of evolutionary rescue based on published ranges for phenotypic selection and heritability and the extent to which early snowmelt impacts fitness.</p>\",\"PeriodicalId\":48629,\"journal\":{\"name\":\"Evolution Letters\",\"volume\":\"9 5\",\"pages\":\"533-547\"},\"PeriodicalIF\":3.7000,\"publicationDate\":\"2025-07-08\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12492211/pdf/\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Evolution Letters\",\"FirstCategoryId\":\"99\",\"ListUrlMain\":\"https://doi.org/10.1093/evlett/qraf019\",\"RegionNum\":1,\"RegionCategory\":\"生物学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"2025/10/1 0:00:00\",\"PubModel\":\"eCollection\",\"JCR\":\"Q2\",\"JCRName\":\"EVOLUTIONARY BIOLOGY\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Evolution Letters","FirstCategoryId":"99","ListUrlMain":"https://doi.org/10.1093/evlett/qraf019","RegionNum":1,"RegionCategory":"生物学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"2025/10/1 0:00:00","PubModel":"eCollection","JCR":"Q2","JCRName":"EVOLUTIONARY BIOLOGY","Score":null,"Total":0}
引用次数: 0

摘要

进化适应可以让一个种群在面对新的环境挑战时坚持下去。由于许多种群现在受到环境变化的威胁,了解这种进化拯救过程在自然条件下是否可行是很重要的,然而关于这一主题的工作在很大程度上是理论上的。我们利用独特的长期数据,对亚高山植物Ipomopsis aggregata及其近亲I. tenuituba的杂交株进行了野外估计,对1个性状对进化救援贡献的确定性和随机模型进行了参数化。在缺乏进化或可塑性的情况下,预计这两个被研究的种群将因气候变化导致的更早的融雪而局部灭绝,这将导致干旱条件。在12年和多个群体中估计了比叶面积(SLA)的表型选择。将这些选择及其对春季融雪时间的环境敏感性数据与以往关于该性状的遗传力、表型可塑性以及融雪时间对平均绝对适合度的影响的数据相结合。选择有利于低SLA值(较厚的叶片)。单一性状对选择的进化反应本身不足以允许进化拯救,但与表型可塑性相结合,它促进了2个群体中1个群体的进化拯救。种群数量停止下降并重新开始上升的年数在很大程度上取决于趋势线周围融雪时间的随机环境变化。我们的研究说明了如何使用定量遗传参数的现场估计来预测进化拯救的可能性。虽然通常无法获得一套完整的参数估计,但根据已公布的表型选择和遗传力范围以及早期融雪对适应性的影响程度,也有可能预测进化拯救的一般可能性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

Predicting the contribution of single trait evolution to rescuing a plant population from demographic impacts of climate change.

Predicting the contribution of single trait evolution to rescuing a plant population from demographic impacts of climate change.

Predicting the contribution of single trait evolution to rescuing a plant population from demographic impacts of climate change.

Predicting the contribution of single trait evolution to rescuing a plant population from demographic impacts of climate change.

Evolutionary adaptation can allow a population to persist in the face of a new environmental challenge. With many populations now threatened by environmental change, it is important to understand whether this process of evolutionary rescue is feasible under natural conditions, yet work on this topic has been largely theoretical. We used unique long-term data to parameterize deterministic and stochastic models of the contribution of 1 trait to evolutionary rescue using field estimates for the subalpine plant Ipomopsis aggregata and hybrids with its close relative I. tenuituba. In the absence of evolution or plasticity, the 2 studied populations are projected to go locally extinct due to earlier snowmelt under climate change, which imposes drought conditions. Phenotypic selection on specific leaf area (SLA) was estimated in 12 years and multiple populations. Those data on selection and its environmental sensitivity to annual snowmelt timing in the spring were combined with previous data on heritability of the trait, phenotypic plasticity of the trait, and the impact of snowmelt timing on mean absolute fitness. Selection favored low values of SLA (thicker leaves). The evolutionary response to selection on that single trait was insufficient to allow evolutionary rescue by itself, but in combination with phenotypic plasticity it promoted evolutionary rescue in 1 of the 2 populations. The number of years until population size would stop declining and begin to rise again was heavily dependent upon stochastic environmental changes in snowmelt timing around the trend line. Our study illustrates how field estimates of quantitative genetic parameters can be used to predict the likelihood of evolutionary rescue. Although a complete set of parameter estimates are generally unavailable, it may also be possible to predict the general likelihood of evolutionary rescue based on published ranges for phenotypic selection and heritability and the extent to which early snowmelt impacts fitness.

求助全文
通过发布文献求助,成功后即可免费获取论文全文。 去求助
来源期刊
Evolution Letters
Evolution Letters EVOLUTIONARY BIOLOGY-
CiteScore
13.00
自引率
2.00%
发文量
35
审稿时长
10 weeks
期刊介绍: Evolution Letters publishes cutting-edge new research in all areas of Evolutionary Biology. Available exclusively online, and entirely open access, Evolution Letters consists of Letters - original pieces of research which form the bulk of papers - and Comments and Opinion - a forum for highlighting timely new research ideas for the evolutionary community.
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:604180095
Book学术官方微信