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通过基因组信息物种分布模型评估豚草不同源种群的入侵潜力。

Assessing the invasive potential of different source populations of ragweed ( L.) through genomically informed species distribution modelling.

作者信息

Putra Andhika R, Hodgins Kathryn A, Fournier-Level Alexandre

机构信息

School of BioSciences The University of Melbourne Parkville Victoria Australia.

School of Biological Sciences Monash University Clayton Victoria Australia.

出版信息

Evol Appl. 2023 Dec 20;17(1):e13632. doi: 10.1111/eva.13632. eCollection 2024 Jan.

DOI:10.1111/eva.13632
PMID:38283606
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC10810254/
Abstract

The genetic composition of founding populations is likely to play a key role in determining invasion success. Individual genotypes may differ in habitat preference and environmental tolerance, so their ability to colonize novel environments can be highly variable. Despite the importance of genetic variation on invasion success, its influence on the potential distribution of invaders is rarely investigated. Here, we integrate population genomics and ecological niche models (ENMs) into a single framework to predict the distribution of globally invasive common ragweed () in Australia. We identified three genetic clusters for ragweed and used these to construct cluster-specific ENMs and characterize within-species niche differentiation. The potential range of ragweed in Australia depended on the genetic composition and continent of origin of the introduced population. Invaders originating from warmer, wetter climates had a broader potential distribution than those from cooler, drier ones. By quantifying this change, we identified source populations most likely to expand the ragweed distribution. As prevention remains the most effective method of invasive species management, our work provides a valuable way of ranking the threat posed by different populations to better inform management decisions.

摘要

奠基种群的遗传组成可能在决定入侵成功方面发挥关键作用。个体基因型在栖息地偏好和环境耐受性方面可能存在差异,因此它们在新环境中定殖的能力可能有很大差异。尽管遗传变异对入侵成功很重要,但其对入侵者潜在分布的影响却很少被研究。在这里,我们将种群基因组学和生态位模型(ENMs)整合到一个单一框架中,以预测全球入侵性豚草()在澳大利亚的分布。我们确定了豚草的三个遗传簇,并利用这些簇构建特定簇的ENMs,并描述种内生态位分化。豚草在澳大利亚的潜在分布范围取决于引入种群的遗传组成和起源大陆。来自温暖、湿润气候的入侵者比来自凉爽、干燥气候的入侵者具有更广泛的潜在分布。通过量化这种变化,我们确定了最有可能扩大豚草分布的源种群。由于预防仍然是入侵物种管理最有效的方法,我们的工作提供了一种有价值的方式来对不同种群构成的威胁进行排名,以便更好地为管理决策提供信息。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9e5c/10810254/9a0ede42eafc/EVA-17-e13632-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9e5c/10810254/15d942839e5a/EVA-17-e13632-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9e5c/10810254/a01a746f1cde/EVA-17-e13632-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9e5c/10810254/3afe3c2d6020/EVA-17-e13632-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9e5c/10810254/9a0ede42eafc/EVA-17-e13632-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9e5c/10810254/15d942839e5a/EVA-17-e13632-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9e5c/10810254/a01a746f1cde/EVA-17-e13632-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9e5c/10810254/3afe3c2d6020/EVA-17-e13632-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9e5c/10810254/9a0ede42eafc/EVA-17-e13632-g003.jpg

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Factors impacting the detection of weed seed contaminants in seed lots.影响种子批中杂草种子污染物检测的因素。
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A single introduction of wild rabbits triggered the biological invasion of Australia.一次野兔的引入引发了澳大利亚的生物入侵。
Proc Natl Acad Sci U S A. 2022 Aug 30;119(35):e2122734119. doi: 10.1073/pnas.2122734119. Epub 2022 Aug 22.
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