Mingxue Fu, Shaoshuai Liu, Yuqing Che, Dada Cui, Zhongyin Deng, Yang Li, Xinyu Zou, Xingchen Kong, Guoliang Chen, Min Zhang, Yifan Liu, Xiang Wang, Wei Liu, Danmei Liu, Shuaifeng Geng, Aili Li, Long Mao
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引用次数: 0
Abstract
Plant height and heading date are important agronomic traits in wheat (Triticum aestivum L.) that affect final grain yield. In wheat, knowledge of pseudo-response regulator (PRR) genes on agronomic traits is limited. Here, we identify a wheat TaPRR95 gene by genome-wide association studies to be associated with plant height. Triple allele mutant plants produced by CRISPR/Cas9 show increased plant height, particularly the peduncle, with an earlier heading date. The longer peduncle is mainly caused by the increased cell elongation at its upper section, whilst the early heading date is accompanied by elevated expression of flowering genes, such as TaFT and TaCO1. A peduncle-specific transcriptome analysis reveals up-regulated photosynthesis genes and down-regulated IAA/Aux genes for auxin signaling in prr95aabbdd plants that may act as a regulatory mechanism to promote robust plant growth. A haplotype analysis identifies a TaPRR95-B haplotype (Hap2) to be closely associated with reduced plant height and increased thousand-grain weight. Moreover, the Hap2 frequency is higher in cultivars than that in landraces, suggesting the artificial selection on the allele during wheat breeding. These findings suggest that TaPRR95 is a regulator for plant height and heading date, thereby providing an important target for wheat yield improvement.
期刊介绍:
The Journal of Genetics and Genomics (JGG, formerly known as Acta Genetica Sinica ) is an international journal publishing peer-reviewed articles of novel and significant discoveries in the fields of genetics and genomics. Topics of particular interest include but are not limited to molecular genetics, developmental genetics, cytogenetics, epigenetics, medical genetics, population and evolutionary genetics, genomics and functional genomics as well as bioinformatics and computational biology.