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将适应性基因组变异纳入入入侵风险评估预测模型

Yiyong Chen¹, Yangchun Gao², Xuena Huang¹

¹Research Center for Eco-Environmental Sciences, Chinese Academy of Sciences, Beijing, 100085, China.

Environmental science and ecotechnology

|September 13, 2023

概括

全球气候变化可能会加快入侵物种的发展,比如Molgula manhattensis. 将基因组数据与息地适应性模型集成,可以改善对生物入侵的预测.

科学领域:

生态生态学生态生态学
基因组学就是基因组学.
气候变化生物学气候变化生物学

背景情况:

预计全球气候变化将增加生物入侵的速度.
目前的风险评估往往忽视了适应性基因组变异,这对于入侵物种的成功至关重要.
准确的预测对于管理入侵物种及其生态影响至关重要.

研究的目的:

评估在气候变化下中国海岸沿海的Molgula manhattensis虫的入侵风险.
评估适应性基因组变异在预测入侵风险方面的作用.
整合基因组偏移和息地适应性模型,以加强风险评估.

主要方法:

种群基因组学分析以确定遗传集群 (北方和南方).
梯度森林建模用于计算基因组偏移.
种类分布建模以评估未来的息地适宜性.

主要成果:

在Molgula manhattensis中发现了两个不同的基因群 (北方和南方).
梯度森林和物种分布模型为北集群提供了对比的预测.
综合分析显示,由于小的基因组利基破坏,南集群的入侵风险更高.

结论:

基因组偏移和息地适宜性是入侵风险评估的互补指标.
纳入自适应基因组变异显著提高了入侵风险预测的准确性.
增强的预测模型对于在气候变化下有效管理生物入侵至关重要.

关键词:

适应性基因组变异气候变化气候变化气候变化基因组偏移的抵消息地的适宜性息地适宜性侵袭风险侵袭风险侵袭风险

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