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针对群体定制的模拟基因组能够在没有参考基因组的物种中开展基因组研究。

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

作者信息

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

机构信息

Department of Genetics, "Luiz de Queiroz" College of Agriculture, University of São Paulo, Piracicaba, São Paulo, Brazil.

出版信息

Mol Genet Genomics. 2022 Jan;297(1):33-46. doi: 10.1007/s00438-021-01831-9. Epub 2021 Nov 9.

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.

摘要

基于分子标记,基因组预测使我们能够加快育种计划并增强对选择的响应。有几种高通量基因分型平台能够为基因组研究提供数千个分子标记。然而,尽管基因组预测在植物育种中得到广泛应用,但没有参考基因组的物种无法充分利用基因组工具和现代育种计划。我们使用一种方法组装了一个针对群体的模拟基因组,以在没有可用参考基因组的情况下调用单核苷酸多态性(SNP)标记,并且首次将结果与标准基因分型平台(使用参考基因组的阵列和简化基因组测序(GBS))在基因组预测模型中的性能进行了比较。我们的结果表明,使用针对群体的模拟基因组来调用SNP能够为基因型之间的基因组关系提供可靠的估计。此外,基因组预测估计与标准方法相当,尤其是仅考虑加性效应时。然而,在预测受显性效应影响的性状时,模拟基因组比阵列稍差,但仍与使用参考基因组的标准GBS方法表现相当。尽管如此,基于阵列的SNP标记方法在估计方差成分方面具有最佳的预测能力和可靠性。总体而言,模拟基因组对于基因组选择研究可能是一个有价值的替代方案,特别是对于那些没有参考基因组的物种。

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