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Effect of multi-allele combination on rice grain size based on prediction of regression equation model
Molecular Genetics and Genomics ( IF 3.1 ) Pub Date : 2019-12-20 , DOI: 10.1007/s00438-019-01627-y
Hua Zhong 1 , Chang Liu 1 , Weilong Kong 1 , Yue Zhang 1 , Gangqing Zhao 1 , Tong Sun 1 , Yangsheng Li 1
Affiliation  

Abstract

Rice yield potential is partially affected by grain size and weight, which associates with a great number of genes and QTLs. However, it is still unclear that how multiple alleles in different genes take a combined effect on grain shape/size. Here, we investigated seven core grain size-related functional genes (GL7, GS3, GW8, GS5, TGW6, WTG1, and An-1) and observed a wide phenotypic variation for five agronomic traits (grain length, grain width, grain length–width ratio, grain thickness and thousand-grain weight) in 521 rice germplasm. The correlation analysis showed a strong association among these grain traits which have distinct impacts on determining the final rice grain size. Genotyping analysis demonstrated that a relatively small number of allele combinations were preserved in the diverse population and these allele combinations were significantly associated with differences in grain size. Furthermore, alleles were regarded as individual variables to develop the multiple regression equation. We found that B and C allelic types of GS3 and conventional type of WTG1 played relevant roles in grain size and thousand-grain weight, separately. The models would conduce to devise instructive approaches by selecting appropriate candidate alleles, which could fuel further research for breeding preferred grain shape and high-yielding crop.



中文翻译:

基于回归方程模型预测的多等位基因组合对水稻籽粒大小的影响

摘要

水稻的产量潜力部分受谷物大小和重量的影响,而谷物的大小和重量与大量的基因和QTL相关。但是,尚不清楚不同基因中的多个等位基因如何对谷物的形状/大小产生综合影响。在这里,我们研究了七个与晶粒大小相关的核心功能基因(GL7GS3GW8GS5,TGW6WTG1An - 1)并在521个水稻种质中观察到五个农艺性状(籽粒长度,籽粒宽度,籽粒长宽比,籽粒厚度和千粒重)的广泛表型变异。相关分析表明,这些谷物性状之间有很强的关联性,这对确定最终稻米的大小有明显的影响。基因分型分析表明,在不同的种群中保留了相对较少的等位基因组合,这些等位基因组合与晶粒大小差异显着相关。此外,等位基因被视为个体变量以发展多元回归方程。我们发现B和C等位基因类型的GS3和常规类型的WTG1分别在谷物大小和千粒重中起着相关的作用。该模型将有助于通过选择合适的候选等位基因来设计具有指导意义的方法,这可能会为进一步研究优选的谷粒形状和高产作物提供动力。

更新日期:2020-03-30
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