首页> 外文期刊>Theoretical and Applied Genetics: International Journal of Breeding Research and Cell Genetics >Sequencing depth and genotype quality: accuracy and breeding operation considerations for genomic selection applications in autopolyploid crops
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Sequencing depth and genotype quality: accuracy and breeding operation considerations for genomic selection applications in autopolyploid crops

机译:测序深度和基因型质量:自基金倍性作物中基因组选择应用的准确性和育种操作考虑

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Key message Polypoid crop breeders can balance resources between density and sequencing depth, dosage information and fewer highly informative SNPs recommended, non-additive models and QTL advantages on prediction dependent on trait architecture. The autopolyploid nature of potato and sweetpotato ensures a wide range of meiotic configurations and linkage phases leading to complex gene-action and pose problems in genotype data quality and genomic selection analyses. We used a 315-progeny biparentalF(1)population of hexaploid sweetpotato and a diversity panel of 380 tetraploid potato, genotyped using different platforms to answer the following questions: (i) do polyploid crop breeders need to invest more for additional sequencing depth? (ii) how many markers are required to make selection decisions? (iii) does considering non-additive genetic effects improve predictive ability (PA)? (iv) does considering dosage or quantitative trait loci (QTL) offer significant improvement to PA? Our results show that only a small number of highly informative single nucleotide polymorphisms (SNPs; <= 1000) are adequate for prediction in the type of populations we analyzed. We also show that considering dosage information and models considering only additive effects had the best PA for most traits, while the comparative advantage of considering non-additive genetic effects and including known QTL in the predictive model depended on trait architecture. We conclude that genomic selection can help accelerate the rate of genetic gains in potato and sweetpotato. However, application of genomic selection should be considered as part of optimizing the entire breeding program. Additionally, since the predictions in the current study are based on single populations, further studies on the effects of haplotype structure and inheritance on PA should be studied in actual multi-generation breeding populations.
机译:关键消息息肉剧类育种者可以平衡密度和测序深度之间的资源,剂量信息和更少的高度信息SNP,推荐的非加性模型和QTL在预测上取决于特质架构。马铃薯和甘薯的自动化倍性质确保了广泛的减数分子配置和联动阶段,导致基因型数据质量和基因组选择分析中的复杂基因作用和姿势问题。我们使用了315-后代蜂蜜百种(1)六倍甘薯和三分之一的380个四倍体马铃薯的多样性面板,使用不同平台的基因分型来回答以下问题:(i)多倍体作物育种者需要投资更多的额外测序深度吗? (ii)制定选择决策需要多少标记? (iii)考虑非添加性遗传效应改善预测能力(PA)? (iv)考虑剂量或定量特质基因座(QTL)对PA提供显着改善吗?我们的结果表明,只有少量高度信息丰富的单核苷酸多态性(SNPS; <= 1000)足以预测我们分析的人群类型。我们还表明,考虑到仅考虑添加剂效应的剂量信息和模型对于大多数特征,考虑到最佳PA,而考虑非添加性遗传效应的比较优势和包括在预测模型中的已知QTL依赖于特质架构。我们得出结论,基因组选择可以帮助加速马铃薯和甘薯的遗传收益率。然而,应将基因组选择的应用视为优化整个育种计划的一部分。另外,由于目前研究的预测基于单一群体,因此在实际的多代育种群体中应该研究对单倍型结构和PA的遗传的进一步研究。

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