ArticleFrontiers in plant science2021
Loci and Natural Alleles for Low-Nitrogen-Induced Growth Response Revealed by the Genome-Wide Association Study Analysis in Rice (
Article in Frontiers in plant science, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.
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9 citing papers in PubMed, 13 citations in OpenAlex.
- Genomic Insights into the Genetic Diversity, Selection Signals, and Agronomic Traits of Rice (Plants (Basel, Switzerland) · 2026Article
- Genomic Variation and GWAS Analysis for Salt Tolerance Discovered in Egyptian Rice Germplasm.Plants (Basel, Switzerland) · 2026Article
- Unlocking genetic hotspots: GWAS reveals key nitrogen responsive genomic regions and key genes for root and yield traits in indica rice.Molecular genetics and genomics : MGG · 2025Article
- GWAS and RNA-seq reveal novel loci and genes of low-nitrogen tolerance in cucumber (Frontiers in plant science · 2025Article
- Integrative genomic and transcriptomic approaches decipher pre-harvest sprouting resistance in rice.Frontiers in plant science · 2025Article
- Genome-Wide Association Analysis of Effective Tillers in Rice under Different Nitrogen Gradients.International journal of molecular sciences · 2024Article
- Identification of a Comprehensive Gene Co-Expression Network Associated with Autotetraploid Potato (Genes · 2023Article
- Comprehensive QTL analyses of nitrogen use efficiency inFrontiers in plant science · 2022Article
- Combining GWAS, Genome-Wide Domestication and a Transcriptomic Analysis Reveals the Loci and Natural Alleles of Salt Tolerance in Rice (Frontiers in plant science · 2022Article
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Authors and funding
9 authors at 3 institutions in 1 country.
Funding
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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
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