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通过水稻全基因组关联研究分析揭示的低氮诱导生长响应的基因座和自然等位基因

Loci and Natural Alleles for Low-Nitrogen-Induced Growth Response Revealed by the Genome-Wide Association Study Analysis in Rice ( L.).

作者信息

Lv Yang, Ma Jie, Wang Yueying, Wang Quan, Lu Xueli, Hu Haitao, Qian Qian, Guo Longbiao, Shang Lianguang

机构信息

Rice Research Institute, Shenyang Agricultural University, Shenyang, China.

State Key Laboratory of Rice Biology, China National Rice Research Institute, Hangzhou, China.

出版信息

Front Plant Sci. 2021 Nov 5;12:770736. doi: 10.3389/fpls.2021.770736. eCollection 2021.

Abstract

Nitrogen is essential for plant growth and yield, and it is, therefore, crucial to increase the nitrogen-use efficiency (NUE) of crop plants in fields. In this study, we measured four major low-nitrogen-induced growth response (LNGR) agronomic traits (i.e., plant height, tiller number, chlorophyll content, and leaf length) of the 225-rice-variety natural population from the Rice 3K Sequencing Project across normal nitrogen (NN) and low nitrogen (LN) environments. The LNGR phenotypic difference between NN and LN levels was used for gene analysis using a genome-wide association study (GWAS) combined with 111,205 single-nucleotide polymorphisms (SNPs) from the available sequenced data from the 3K project. We obtained a total of 56 significantly associated SNPs and 4 candidate genes for 4 LNGR traits. Some loci were located in the candidate regions, such as , , and . To further study the role of candidate genes, we conducted haplotype analyses to identify the elite germplasms. Moreover, several other plausible candidate genes encoding LN-related or NUE proteins were worthy of mining. Our study provides novel insight into the genetic control of LNGR and further reveals some related novel haplotypes and potential genes with phenotypic variation in rice.

摘要

氮对于植物生长和产量至关重要,因此提高田间作物的氮利用效率(NUE)至关重要。在本研究中,我们测量了来自水稻3K测序项目的225个水稻品种自然群体在正常氮(NN)和低氮(LN)环境下的四个主要低氮诱导生长响应(LNGR)农艺性状(即株高、分蘖数、叶绿素含量和叶长)。利用全基因组关联研究(GWAS)结合来自3K项目现有测序数据的111,205个单核苷酸多态性(SNP),对NN和LN水平之间的LNGR表型差异进行基因分析。我们总共获得了56个与4个LNGR性状显著相关的SNP和4个候选基因。一些位点位于候选区域,如 、 和 。为了进一步研究候选基因的作用,我们进行了单倍型分析以鉴定优良种质。此外,其他几个编码与LN相关或NUE蛋白的可能候选基因也值得挖掘。我们的研究为LNGR的遗传控制提供了新的见解,并进一步揭示了一些与水稻表型变异相关的新单倍型和潜在基因。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0046/8602835/e719a88f3110/fpls-12-770736-g001.jpg

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