five

Li_2025_dataset.csv

收藏
DataCite Commons2025-01-20 更新2025-05-07 收录
下载链接:
https://figshare.com/articles/dataset/Li_2025_dataset_csv/28236527/1
下载链接
链接失效反馈
官方服务:
资源简介:
<b>Data from: </b><b>Biased availability of genetic data for parasites: it’s all about the host</b><b>Abstract</b>Advances in DNA sequencing technology have significantly increased the availability of publicly accessible genetic data across various parasite taxa. This genetic data is crucial for elucidating gene flow, connectivity among parasite populations, cryptic diversity, and resolving parasite phylogenies. However, phylogenetic reconstructions are often hindered by incomplete taxonomic genetic data, particularly in less-studied taxa like parasitic helminths. We tested whether the availability of genetic data for helminth species is biased and influenced by which hosts they infect using the largest known helminth life cycle database. We compared helminth species with genetic sequences in the NCBI Nucleotide and Gene databases against those without publicly available sequences. We examined the impact of the number of definitive hosts, their higher taxon, conservation status, and habitat on genetic data availability. Our findings reveal significant biases in existing genetic data for helminth parasites, influenced by host-related factors. Helminth species with more definitive hosts species, hosts of conservation concerns, and/or those with terrestrial hosts are more likely to have genetic data available. These biases in genetic data availability raise concerns for phylogenetic studies, as they suggest that the current genetic knowledge of helminth parasites is neither random nor representative of existing biodiversity. Consequently, phylogenetic trees based on biased data may not accurately capture the true evolutionary relationships among parasite taxa, as well as trends in the evolution of key traits, such as host specificity. Comprehensive and unbiased data collection efforts are needed to improve the accuracy of phylogenetic analyses and our understanding of parasite evolution.
提供机构:
figshare
创建时间:
2025-01-20
5,000+
优质数据集
54 个
任务类型
进入经典数据集
二维码
社区交流群

面向社区/商业的数据集话题

二维码
科研交流群

面向高校/科研机构的开源数据集话题

数据驱动未来

携手共赢发展

商业合作