Data from: High-throughput microsatellite genotyping in ecology: improved accuracy, efficiency, standardization and success with low-quantity and degraded DNA

• Main Authors: De Barba, Marta, Miquel, Christian, Lobreaux, Stephane, Quenette, Pierre Yves, Swenson, Jon E., Taberlet, Pierre
• Format: Dataset
• Language: unknown
• Published: 2016
• Subjects: Life sciences; medicine and health care; faecal DNA; Ursus arctos; individual identification; parentage analysis; high-throughput sequencing; short tandem repeat (STR); envir; psy
• Online Access: https://doi.org/10.5061/dryad.18tg7

Microsatellite markers have played a major role in ecological, evolutionary and conservation research during the past 20 years. However, technical constrains related to the use of capillary electrophoresis and a recent technological revolution that has impacted other marker types have brought to question the continued use of microsatellites for certain applications. We present a study for improving microsatellite genotyping in ecology using high-throughput sequencing (HTS). This approach entails selection of short markers suitable for HTS, sequencing PCR-amplified microsatellites on an Illumina platform and bioinformatic treatment of the sequence data to obtain multilocus genotypes. It takes advantage of the fact that HTS gives direct access to microsatellite sequences, allowing unambiguous allele identification and enabling automation of the genotyping process through bioinformatics. In addition, the massive parallel sequencing abilities expand the information content of single experimental runs far beyond capillary electrophoresis. We illustrated the method by genotyping brown bear samples amplified with a multiplex PCR of 13 new microsatellite markers and a sex marker. HTS of microsatellites provided accurate individual identification and parentage assignment and resulted in a significant improvement of genotyping success (84%) of faecal degraded DNA and costs reduction compared to capillary electrophoresis. The HTS approach holds vast potential for improving success, accuracy, efficiency and standardization of microsatellite genotyping in ecological and conservation applications, especially those that rely on profiling of low-quantity/quality DNA and on the construction of genetic databases. We discuss and give perspectives for the implementation of the method in the light of the challenges encountered in wildlife studies. Readmeobitools_scriptScripts to filter raw sequence data and perform conversion to tableR_python_scriptsR and python scripts to extract genotypes from tabular data ...