Identification of Advantaged Genes for Low-Nitrogen-Tolerance-Related Traits in Rice Using a Genome-Wide Association Study
Nitrogen is a crucial element that impacts rice yield and its constituent factors. The effects of reduced nitrogen levels on yield constitute is a complex quantitative trait that is controlled by multiple genes, and its genetic basis requires further exploration. In this study, 562 MAGIC line population and 284 germplasm varieties were used for genome-wide association analysis (GWAS) and haplotype analysis, aiming to detect quantitative trait loci (QTL) and candidate genes associated with tolerance to low nitrogen levels. The ratio of effective panicle number per plant (REPN), total number of grains per panicle (RTGN), seed setting rate (RSSR), thousand grain weight (RTGW), biomass (RBM), harvest index (RHI), and grain yield per plant (RGY) of low to normal nitrogen conditions were measured in this study. The RBM and RHI were directly closely related to RGY, while the RSSR indirectly and positively affected RGY through RHI, and the REPN and RTGN mainly indirectly and positively affected RGY through RBM. <i>LOC_Os06g06440</i> was the most likely gene affecting low-nitrogen-tolerance-related traits in rice within the region, ranging from 2.898 Mb to 3.046 Mb (148 kb) on chromosome 6, and the haplotype AA, with a significantly larger mean RGY of 0.95 and 1.53 in the MAGIC and germplasm varieties, respectively, was the advanced allele of <i>LOC_Os06g06440</i>. Nine <i>xian</i> (<i>indica</i>) varieties (IRIS_313-11624, IRIS_313-10932, CX382, B067, B249, IRIS_313-8215, IRIS_313-10544, B052, and B233) carrying the superior haplotype (AA) of <i>LOC_Os06g06440</i> and having a higher RGY were selected for the molecular marker-assisted selection of low nitrogen tolerance in rice. These results will enhance our knowledge of the genetic basis of tolerance to low levels of nitrogen and provide valuable information for improving tolerance to low levels of nitrogen in rice-breeding programs.
Authors
- Juqing Jia (ORCID: https://orcid.org/0000-0001-6312-7912)
- Jianlong Xu (ORCID: https://orcid.org/0000-0001-6623-1256)
- Congcong Shen (ORCID: https://orcid.org/0000-0002-3452-6049)
- Laiyuan Zhai (ORCID: https://orcid.org/0000-0001-6466-7152)
- Yuzhuo Liu (ORCID: https://orcid.org/0009-0004-3768-030X)
- Kai Chen (ORCID: https://orcid.org/0000-0002-1038-1885)
- Tian Lin (ORCID: https://orcid.org/0009-0002-7888-4857)
- Zhiyuan Zhang (ORCID: https://orcid.org/0009-0004-5441-429X)
- Shuangbing Zhu
Institutions
- Shanxi Agricultural University (CN)
- Shenyang Agricultural University (CN)
- Agricultural Genomics Institute at Shenzhen (CN)
- Chinese Academy of Agricultural Sciences (CN)
- Institute of Crop Sciences (CN)
Publication Details
- Journal
- International Journal of Molecular Sciences
- Published
- 2025-06-16
- DOI
- https://doi.org/10.3390/ijms26125749
- Citations
- 1
- Primary Topic
- Plant nutrient uptake and metabolism
- Type
- article
- Field-Weighted Citation Impact
- 1.75
Funders
- National Key Research and Development Program of China