Lee Soo-Rang, Son Dong Chan
Department of Biology Education, College of Education, Chosun University, Gwangju, South Korea.
Division of Forest Biodiversity and Herbarium, Korea National Arboretum, Pocheon, South Korea.
Front Plant Sci. 2022 Nov 15;13:997521. doi: 10.3389/fpls.2022.997521. eCollection 2022.
Biological invasion is a complex process associated with propagule pressure, dispersal ability, environmental constraints, and human interventions, which leave genetic signatures. The population genetics of an invasive species thus provides invaluable insights into the patterns of invasion. Burcucumber, one of the most detrimental weeds for soybean production in US, has recently colonized Korea and rapidly spread posing a great threat to the natural ecosystem. We aim to infer the determinants of the rapid burcucumber invasion by examining the genetic diversity, demography, and spread pattern with advanced genomic tools. We employed 2,696 genome-wide single-nucleotide polymorphisms to assess the level of diversity and the spatial pattern associated with the landscape factors and to infer the demographic changes of 24 populations (364 genotypes) across four major river basins with the east coastal streams in South Korea. Through the approximate Bayesian computation, we inferred the likely invasion scenario of burcucumber in Korea. The landscape genetics approach adopting the circuit theory and MaxEnt model was applied to determine the landscape contributors. Our data suggested that most populations have experienced population bottlenecks, which led to lowered within-population genetic diversity and inflated population divergences. Burcucumber colonization in Korea has strongly been affected by demographic bottlenecks and multiple introductions, whereas environmental factors were not the primary determinant of the invasion. Our work highlighted the significance of preventing secondary introductions, particularly for aggressive weedy plants such as the burcucumber.
生物入侵是一个复杂的过程,与繁殖体压力、扩散能力、环境限制和人类干预相关,这些都会留下遗传印记。因此,入侵物种的种群遗传学为入侵模式提供了宝贵的见解。刺果瓜是美国大豆生产中最具危害性的杂草之一,最近在韩国定殖并迅速扩散,对自然生态系统构成了巨大威胁。我们旨在通过使用先进的基因组工具研究遗传多样性、种群统计学和扩散模式,来推断刺果瓜快速入侵的决定因素。我们利用2696个全基因组单核苷酸多态性来评估多样性水平以及与景观因素相关的空间模式,并推断韩国四个主要流域及东部沿海溪流中24个种群(364个基因型)的种群统计学变化。通过近似贝叶斯计算,我们推断了刺果瓜在韩国可能的入侵情况。采用电路理论和最大熵模型的景观遗传学方法被用于确定景观因素的影响。我们的数据表明,大多数种群经历了种群瓶颈,这导致种群内遗传多样性降低和种群分化加剧。刺果瓜在韩国的定殖受到种群瓶颈和多次引入的强烈影响,而环境因素并非入侵的主要决定因素。我们的工作强调了防止二次引入的重要性,特别是对于像刺果瓜这样具有侵略性的杂草。