opulation-tailored mock genome enables genomic studies in species without a reference genom

Autor(es)

Sabadin, Felipe ^[1] ; Carvalho, Humberto Fanelli ^[1] ; Galli, Giovanni ^[1] ; Fritsche-Neto, Roberto ^[1]

Afiliação do(s) autor(es)

^[1] Univ Sao Paulo, Luiz de Queiroz Coll Agr, Dept Genet, Piracicaba, SP - Brazil

• Tipo de documento: Artigo Científico
• Fonte: Molecular Genetics and Genomics; v. 297, n. 1 NOV 2021.
• Citações Web of Science: 0

Resumo

Based on molecular markers, genomic prediction enables us to speed up breeding schemes and increase the response to selection. There are several high-throughput genotyping platforms able to deliver thousands of molecular markers for genomic study purposes. However, even though its widely applied in plant breeding, species without a reference genome cannot fully benefit from genomic tools and modern breeding schemes. We used a method to assemble a population-tailored mock genome to call single-nucleotide polymorphism (SNP) markers without an available reference genome, and for the first time, we compared the results with standard genotyping platforms (array and genotyping-by-sequencing (GBS) using a reference genome) for performance in genomic prediction models. Our results indicate that using a population-tailored mock genome to call SNP delivers reliable estimates for the genomic relationship between genotypes. Furthermore, genomic prediction estimates were comparable to standard approaches, especially when considering only additive effects. However, mock genomes were slightly worse than arrays at predicting traits influenced by dominance effects, but still performed as well as standard GBS methods that use a reference genome. Nevertheless, the array-based SNP markers methods achieved the best predictive ability and reliability to estimate variance components. Overall, the mock genomes can be a worthy alternative for genomic selection studies, especially for those species where the reference genome is not available. (AU)

• Processo FAPESP: 17/24327-0 - TCGA: um painel de germoplasmas de milho tropical para estudos de predição genômica e fenotipagem de alto rendimento
• Beneficiário: Roberto Fritsche Neto
• Modalidade de apoio: Auxílio à Pesquisa - Regular