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A new SSR fingerprinting set and its comparison to existing SSR- and SNP-based genotyping platforms to manage Pyrus germplasm resources

Jason D. Zurn, April Nyberg, Sara Montanari, Joseph Postman, David Neale, Nahla Bassil
Tree genetics & genomes 2020 v.16 no.5 pp. 72
DNA fingerprinting, Pyrus, genetic markers, genetic variation, genotyping, high-throughput nucleotide sequencing, microsatellite repeats, pedigree, plant germplasm, polymerase chain reaction, population structure, single nucleotide polymorphism
Ensuring the clonal identity of accessions within a germplasm repository, such as the US National Pyrus collection, is critical. Additionally, pedigree confirmation and understanding population structure is an important part of breeding and managing genetic resources. The ability to validate pedigree and identity is challenging and inconclusive through morphology alone. DNA information can be used to confirm parentage and identity by descent. A Pyrus fingerprinting set was previously developed by the European Cooperative Program for Plant Genetic Resources (ECPGR) and consists of 12 dinucleotide-containing simple sequence repeats (SSRs) markers that are amplified in two PCR reactions. The ECPGR set is difficult to use because dinucleotide-containing SSRs often exhibit a number of amplification artifacts such as stutters, split peaks, and binning errors. High-core repeat (3–6 bp motifs) SSRs do not exhibit many of the artifacts displayed by dinucleotide-containing SSRs. Therefore, an easy-to-use 10-SSR fingerprint set containing high-core repeat SSRs that can be evaluated in a single reaction was developed. This fingerprinting set, known as the US Pyrus Genetic Resources (USPGR) set, was compared with the ECPGR set and to single nucleotide polymorphism (SNP) markers found on the new 70K pear Axiom™ array for its ability to assess diversity, population structure, pedigree, and identity. The USPGR set performed similarly to both genotyping platforms while being easier to use. Additionally, the present study demonstrates the usefulness of SSRs in the age of high-throughput genotyping and sequencing platforms.