five

Microsatellite dataset - foregrounding geodiversity.xlsx

收藏
NIAID Data Ecosystem2026-05-01 收录
下载链接:
https://figshare.com/articles/dataset/Monsanto_et_al_-_dataset_-_foregrounding_geodiversity_xlsx/23954772
下载链接
链接失效反馈
官方服务:
资源简介:
Sampling: Transect sampling was conducted on eastern Marion Island at two sampling areas, namely Nellie Humps (NH) Skua Ridge (SR). The NH site included 24 sampling points separated from each other by a geographic distance ranging from 30 to 120 m, while the SR site comprised 21 sampling points separated by distances ranging from 60 and 190 m. Cryptopygus antarcticus travei specimens were collected by extracting them from sampled moss and/or ferns (approximately 10 cm3) using Berlese-Tullgren funnels. Twenty individuals of C. a. travei from each sampling point were identified and sorted using a compound light microscope, and stored in absolute ethanol (Merck, South Africa). Microsatellite genotyping: Whole genomic DNA was extracted using the DNeasy® Blood and Tissue Kit (Qiagen®, Hilden, Germany), according to the manufacturer's recommendations, with minor modifications that included a longer digestion step (overnight, but not more than 20 hours) and a reduced final elution volume (75 μl instead of 100 μl). Microsatellite loci were amplified in multiplex reactions (seven multiplex sets based on the criteria described by Rastorgueff et al., 2016) using 21 highly variable and species-specific markers (Rastorgueff et al., 2016), and fragment analysis was performed on a MultiGeneTM OptiMax Thermal Cycler (Applied Biosystems). Cleaned PCR amplicons were sized using the ABI Prism® 3500XL Genetic Analyser (Applied Biosystems, Foster City, California, USA). Alleles were analysed, scored, and binned manually using the Geneious v8.1.5 microsatellite plugin 1.4 (Kearse et al., 2012). The dataset added to the repository consists of the scored genotype data for all individuals from both sampling localities.
创建时间:
2023-08-15
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