Detection of Epistasis for Flowering Time Using Bayesian Multilocus Estimation in a Barley MAGIC Population.
Detection of Epistasis for Flowering Time Using Bayesian Multilocus Estimation in a Barley MAGIC Population.
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DOI：
10.1534/genetics.117.300546
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发表时间：
2018-03
期刊：
影响因子：
3.3
通讯作者：
Sillanpää MJ
中科院分区：
文献类型：
--
作者：
Mathew B;Léon J;Sannemann W;Sillanpää MJ
开花时间是作物中众所周知的复杂性状，并且受到许多相互作用的基因的影响。在这项研究中，Mathew等人确定了双向和...基因间的相互作用，也称为上位性，调节不同物种的许多复杂性状。随着低成本基因分型技术的出现，现在可以在全基因组范围内研究上位性。然而，识别全基因组上位性是一个高维的多元回归问题，需要降维技术的应用。作物的开花时间（FT）是一个复杂的性状，已知其受到多种作物中许多相互作用的基因和途径的影响。在这项研究中，我们成功地应用确定独立筛选（SIS）的降维，以确定双向和三向上位性的FT性状在多亲本高级世代间杂交（MAGIC）大麦人口使用贝叶斯多位点模型。MAGIC大麦群体是由8个亲本系之间的杂交产生的，因此，提供了更大的遗传多样性来检测高阶上位性相互作用。我们的研究结果表明，SIS是一个有效的降维方法来检测贝叶斯多位点模型中的高阶相互作用。我们还观察到，我们的许多研究结果（基因组区域的主要或高阶上位效应）与已知的候选基因，已经报告在大麦和密切相关的物种的FT性状重叠。
Flowering time is a well-known complex trait in crops and is influenced by many interacting genes. In this study, Mathew et al. identify two-way and.... Gene-by-gene interactions, also known as epistasis, regulate many complex traits in different species. With the availability of low-cost genotyping it is now possible to study epistasis on a genome-wide scale. However, identifying genome-wide epistasis is a high-dimensional multiple regression problem and needs the application of dimensionality reduction techniques. Flowering Time (FT) in crops is a complex trait that is known to be influenced by many interacting genes and pathways in various crops. In this study, we successfully apply Sure Independence Screening (SIS) for dimensionality reduction to identify two-way and three-way epistasis for the FT trait in a Multiparent Advanced Generation Inter-Cross (MAGIC) barley population using the Bayesian multilocus model. The MAGIC barley population was generated from intercrossing among eight parental lines and thus, offered greater genetic diversity to detect higher-order epistatic interactions. Our results suggest that SIS is an efficient dimensionality reduction approach to detect high-order interactions in a Bayesian multilocus model. We also observe that many of our findings (genomic regions with main or higher-order epistatic effects) overlap with known candidate genes that have been already reported in barley and closely related species for the FT trait.
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影响因子：
5.4
作者：
Bauer, Andrea Michaela;Hoti, F.;von Korff, M.;Pillen, K.;Leon, J.;Sillanpaa, M. J.
通讯作者：
Sillanpaa, M. J.
影响因子：
16.6
作者：
Cai, Qiang;Yuan, Zheng;Zhang, Dabing
通讯作者：
Zhang, Dabing
影响因子：
11.6
作者：
GUBLER, F;KALLA, R;JACOBSEN, JV
通讯作者：
JACOBSEN, JV
DOI：
10.1109/tpami.2003.1227989
发表时间：
2003-09-01
影响因子：
23.6
作者：
Figueiredo, MAT
通讯作者：
Figueiredo, MAT
大麦植物身材的遗传结构。
影响因子：
3.7
作者：
Alqudah AM;Koppolu R;Wolde GM;Graner A;Schnurbusch T
通讯作者：
Schnurbusch T