Effect of epistasis and environment on flowering time in barley reveals a novel flowering-delaying QTL allele
Effect of epistasis and environment on flowering time in barley reveals a novel flowering-delaying QTL allele
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DOI：
10.1093/jxb/erz477
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发表时间：
2020-01-23
影响因子：
6.9
通讯作者：
Ballvora, Agim
中科院分区：
文献类型：
--
作者：
Afsharyan, Nazanin P.;Sannemann, Wiebke;Ballvora, Agim
开花时间是一个复杂的性状，在作物产量和适应环境胁迫（如高温和干旱）方面具有关键作用。本研究旨在更好地理解上位性和环境的相互关联的动态，并寻找新的调节剂。我们调查了534个春大麦MAGIC DH系在不同环境下的开花时间。采用单核苷酸多态性（SNP）和单倍型方法分析了数量性状基因座（QTL）、上位性互作、QTL ×环境互作（QxE）和上位性×环境互作（ExE）。总共检测到18个QTL和2420个上位性相互作用，其中包括包含Ppd-H1、Vrn-H1、Vrn-H3和denso/sdw 1等主效基因的区间。上位性相互作用发现在字段和半控制条件下是独特的。QxE和ExE的相互作用表明，温度通过触发已知和新检测到的调节剂之间的不同相互作用来影响开花时间。在1H染色体上发现了一个新的开花延迟QTL等位基因（命名为“HvHeading”），该等位基因参与上位性和环境互作。结果表明，调查上位性，环境，以及它们的相互作用，而不是只有单一的QTL，是一个有效的方法来检测新的调节。我们假设，大麦可以适应开花时间的环境，通过其他途径内的途径。
Flowering time is a complex trait and has a key role in crop yield and adaptation to environmental stressors such as heat and drought. This study aimed to better understand the interconnected dynamics of epistasis and environment and look for novel regulators. We investigated 534 spring barley MAGIC DH lines for flowering time at various environments. Analysis of quantitative trait loci (QTLs), epistatic interactions, QTL x environment (QxE) interactions, and epistasis x environment (ExE) interactions were performed with single SNP and haplotype approaches. In total, 18 QTLs and 2420 epistatic interactions were detected, including intervals harboring major genes such as Ppd-H1, Vrn-H1, Vrn-H3, and denso/sdw1. Epistatic interactions found in field and semi-controlled conditions were distinctive. QxE and ExE interactions revealed that temperature influenced flowering time by triggering different interactions between known and newly detected regulators. A novel flowering-delaying QTL allele was identified on chromosome 1H (named 'HvHeading') and was shown to be engaged in epistatic and environment interactions. Results suggest that investigating epistasis, environment, and their interactions, rather than only single QTLs, is an effective approach for detecting novel regulators. We assume that barley can adapt flowering time to the environment via alternative routes within the pathway.