Evaluating restriction enzyme selection for genome reduction in conservation genomics
Ainhoa López, Carlos CarrerasiD, Marta PascualiD, Cinta PeguerolesiD
Abstract
Conservation genomic studies in non-model organisms generally rely on genome reduction techniques based on restriction enzymes to identify population structure as well as candidate loci for local adaptation. These reduced libraries ensure a high density of SNP loci and high coverage for accurate genotyping. Despite the fraction of the genome that is sequenced is expected to be randomly located, the reduction of the genome might depend on the recognition site of the restriction enzyme used. Here, we evaluate the distribution and functional composition of loci obtained after Genotyping-by-sequencing (GBS) genome reduction with two widely used restriction enzymes (EcoT22I and ApeKI). To do so, we compared data from two endemic fish species (Symphodus ocellatus and Symphodus tinca, EcoT22I enzyme) and two ecosystem engineer sea urchins (Paracentrotus lividus and Arbacia lixula, ApeKI enzyme). In brief, we mapped the sequenced loci to the phylogenetically closest reference genome available (Labrus bergylta for fish and Strongylocentrotus purpuratus for sea urchins), classified them as exonic, intronic, and intergenic, and studied their functionality by using GO terms. We detected an enrichment towards exonic or intergenic regions depending on the restriction enzyme used, and we did not detect differences between total loci and candidate loci for adaptation. Despite most GO terms being shared between species, the analysis of their abundance showed differences between taxonomic groups, which may be attributed to differences of the targeted loci. Our results highlight the importance of restriction enzyme selection and the need for high-quality annotated genomes in conservation genomic studies.
02 /Specification & Classification
Click any tag to browse matching papers- Citations
- 0
- Organism
- Assay
- Research Focus
- Approach
Reproducibility ledger
Nobody has reported trying to reproduce this paper yet. Did you replicate an experiment or run the code? Your report saves the next lab a week.
Sign in to file a reproducibility report.
Related papers
- Optimizing selection of restriction enzymes for complexity-reduced genome sequencing in plants
Kenta Shirasawa, Sachiko Shirasawa·bioRxiv·Sep 21, 2025
- Facilitating population genomics of non-model organisms through optimized experimental design for reduced representation sequencing
Henrik Christiansen, Franz M. Heindler, … Isa Schön·BMC GenomicsPeer-reviewed·Aug 21, 2021
- Tunable Genotyping-By-Sequencing (tGBS(R)) Enables Reliable Genotyping of Heterozygous Loci
Alina Ott, Sanzhen Liu, … Patrick S. Schnable·Nucleic Acids ResearchPeer-reviewed·Sep 13, 2017
- Predicting genome sizes and restriction enzyme recognition-sequence probabilities across the eukaryotic tree of life
Santiago Herrera, Paula H. Reyes-Herrera, Timothy M. Shank·Genome Biology and EvolutionPeer-reviewed·Nov 3, 2015
- GBStools: A Unified Approach for Reduced Representation Sequencing and Genotyping
Thomas F Cooke, Muh-Ching Yee, … Eimear Kenny·PLOS GeneticsPeer-reviewed·Feb 1, 2016
- Population genomics analysis with RAD, reprised: STACKS 2
Angel G. Rivera‐Colón, Julian Catchen·Methods in molecular biologyPeer-reviewed·Jan 1, 2022