Evidence map›Paper›PMID 34755217›Full record

ArticleMolecular genetics and genomics : MGG2022

Population-tailored mock genome enables genomic studies in species without a reference genome.

Felipe Sabadin, Humberto Fanelli Carvalho, Giovanni Galli, Roberto Fritsche-Neto

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Article in Molecular genetics and genomics : MGG, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

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0cells of the map it votes in
3citing papers in PubMed
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1 · What the graph read from it

What it found

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2 · The registry

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3 · Its place in the literature

Who cites it

3 citing papers in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

4 authors.

Felipe SabadinDepartment of Genetics, "Luiz de Queiroz" College of Agriculture, University of São Paulo, Piracicaba, São Paulo, Brazil. felipe.sabadin@alumni.usp.br.ORCID http://orcid.org/0000-0003-2937-1465
Humberto Fanelli CarvalhoDepartment of Genetics, "Luiz de Queiroz" College of Agriculture, University of São Paulo, Piracicaba, São Paulo, Brazil.ORCID http://orcid.org/0000-0003-0745-7583
Giovanni GalliDepartment of Genetics, "Luiz de Queiroz" College of Agriculture, University of São Paulo, Piracicaba, São Paulo, Brazil.ORCID http://orcid.org/0000-0002-3400-7978
Roberto Fritsche-NetoDepartment of Genetics, "Luiz de Queiroz" College of Agriculture, University of São Paulo, Piracicaba, São Paulo, Brazil.ORCID http://orcid.org/0000-0003-4310-0047

Funding

Coordenação de Aperfeiçoamento de Pessoal de Nível Superior 001Fundação de Amparo à Pesquisa do Estado de São Paulo 2017/24327-0
6 · The paper itself

Abstract

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.

Indexed as

Computational BiologyGenotyping TechniquesModels, GeneticAnimalsChimeraDatasets as TopicGenomeGenome-Wide Association StudyGenomicsGenotypePhenotypeReference StandardsReproducibility of ResultsSelection, GeneticSpecies SpecificityZea maysGBLUPGenomic selectionGenotyping-by-sequencingOrphan cropsSNP-array

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.