Genomic Informed Breeding Strategies for Strawberry Yield and Fruit Quality Traits.

Genomic Informed Breeding Strategies for Strawberry Yield and Fruit Quality Traits.
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DOI:
10.3389/fpls.2021.724847
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发表时间:
2021
影响因子:
5.6
通讯作者:
Harrison RJ
Harrison RJ
中科院分区:
生物学2区
文献类型:
--
作者:
Cockerton HM;Karlström A;Johnson AW;Li B;Stavridou E;Hopson KJ;Whitehouse AB;Harrison RJ

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在过去的两个世纪里,育种者通过人工选择大大改变了草莓的果实质量。然而,不同种质间的质量仍存在显著差异,有待进一步改进。我们报道了多亲本草莓群体的果实质量和产量性状的广泛表型,以便进行基因组预测和数量性状核苷酸(QTN)鉴定,从而使遗传结构的描述能够为实施先进育种策略的有效性提供信息。总可溶性糖含量与第一类产量呈负相关(r = - 0.21),表明这两个基本性状之间存在权衡关系。这一结果突出了草莓育种者面临的一个既定困境,以及解除这种关系的必要性,特别是在与本研究相媲美的六月结果、受保护的生产系统下。数量性状核苷酸的很大影响与感知的酸度和pH值有关,而多个位点与硬度有关。因此,我们建议采用标记辅助选择(MAS)和基因组预测来分别捕获观察到的变异。此外,我们还发现了一个与一类水果数量增加10%和另外10个QTN相关的大效应位点,当它们结合在一起时,与可销售草莓数量增加27%相关。最终,我们的结果表明,提高草莓产量的最佳方法是根据每株生产的可销售果实数量选择亲本系。草莓数量性状不仅受环境波动的影响较小,而且与质量性状相比具有更大的加性遗传成分。因此,选择使用“数量”性状应该导致更快的遗传增益。
Over the last two centuries, breeders have drastically modified the fruit quality of strawberries through artificial selection. However, there remains significant variation in quality across germplasm with scope for further improvements to be made. We reported extensive phenotyping of fruit quality and yield traits in a multi-parental strawberry population to allow genomic prediction and quantitative trait nucleotide (QTN) identification, thereby enabling the description of genetic architecture to inform the efficacy of implementing advanced breeding strategies. A negative relationship (r = −0.21) between total soluble sugar content and class one yield was identified, indicating a trade-off between these two essential traits. This result highlighted an established dilemma for strawberry breeders and a need to uncouple the relationship, particularly under June-bearing, protected production systems comparable to this study. A large effect of quantitative trait nucleotide was associated with perceived acidity and pH whereas multiple loci were associated with firmness. Therefore, we recommended the implementation of both marker assisted selection (MAS) and genomic prediction to capture the observed variation respectively. Furthermore, we identified a large effect locus associated with a 10% increase in the number of class one fruit and a further 10 QTN which, when combined, are associated with a 27% increase in the number of marketable strawberries. Ultimately, our results suggested that the best method to improve strawberry yield is through selecting parental lines based upon the number of marketable fruits produced per plant. Not only were strawberry number metrics less influenced by environmental fluctuations, but they had a larger additive genetic component when compared with mass traits. As such, selecting using “number” traits should lead to faster genetic gain.
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