Evolution, Ecology and Conservation Research Group-EECO, Biology Program, Faculty of Basic Sciences and Technologies, Universidad del Quindío, Armenia 630004, Colombia.
Department of Natural Sciences and Mathematics, Pontificia Universidad Javeriana, Cali 7 #40-62, Bogotá 110311, Colombia.
Genes (Basel). 2023 Jul 14;14(7):1442. doi: 10.3390/genes14071442.
On a planet experiencing constant human population growth, it is necessary to explore the anthropogenic effects on the genetic diversity of species, and specifically invasive species. Using an analysis that integrates comparative phylogeography, urban landscape genetics, macrogenetics and a systematic review, we explore the worldwide genetic diversity of the human commensal and anthropogenic species and . Based on metadata obtained considering 35 selected studies related to observed heterozygosity, measured by nuclear molecular markers (microsatellites, Single Nucleotide Polymorphisms-SNPs-, restrictition site-associated DNA sequencing -RAD-Seq-), socioeconomic and mobility anthropogenic factors were used as predictors of genetic diversity of and , using the Gini index, principal component analysis and Random Forest Regression as analysis methodology. Population density was on average the best predictor of genetic diversity in the species analyzed, indicating that the species respond in a particular way to the characteristics present in urban environments because of a combination of life history characteristics and human-mediated migration and colonization processes. To create better management and control strategies for these rodents and their associated diseases, it is necessary to fill the existing information gap in urban landscape genetics studies with more metadata repositories, with emphasis on tropical and subtropical regions of the world.
在一个人口持续增长的星球上,有必要探索人类活动对物种遗传多样性的影响,特别是入侵物种。本研究通过整合比较系统地理学、城市景观遗传学、宏基因组学和系统综述,探索了人类共生种和人为种的全球遗传多样性。基于考虑到 35 项与观察杂合度相关的研究的元数据,这些研究通过核分子标记(微卫星、单核苷酸多态性-SNPs-、限制位点相关 DNA 测序-RAD-Seq-)进行测量,使用基尼指数、主成分分析和随机森林回归作为分析方法,将社会经济和流动性人为因素作为 和 遗传多样性的预测因子。种群密度平均是分析的物种遗传多样性的最佳预测因子,表明由于生活史特征和人类介导的迁移和殖民化过程的结合,这些物种对城市环境中存在的特征以特定方式做出反应。为了为这些啮齿动物及其相关疾病制定更好的管理和控制策略,有必要在城市景观遗传学研究中利用更多的元数据存储库来填补现有的信息空白,重点关注世界的热带和亚热带地区。