Genome-Wide Identification of NLP Gene Families and Haplotype Analysis of SiNLP2 in Foxtail Millet (Setaria italica)

全基因组鉴定谷子(Setaria italica)中的NLP基因家族及SiNLP2单倍型分析

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Abstract

Nitrogen is a critical factor in plant growth, development, and crop yield. NODULE-INCEPTION-like proteins (NLPs), which are plant-specific transcription factors, function as nitrate sensors and play a vital role in the nitrogen response of plants. However, the genome-wide identification of the NLP gene family, the elucidation of the underlying molecular mechanism governing nitrogen response, and haplotype mining remain elusive in millet. In this study, we identified seven members of the NLP gene family in the millet genome and systematically analyzed their physicochemical properties. Evolutionary tree analysis indicated that SiNLP members can be classified into three subgroups, with NLP members from the same species preferentially grouped together within each subgroup. Analysis of gene structure characteristics revealed that all SiNLP members contained 10 conserved motifs, as well as the RWP-RK and PB1 domains, indicating that these motifs and domains have been relatively conserved throughout evolution. Additionally, we identified a significant abundance of response elements related to hormones, stress, growth, and development within the promoter regions of SiNLP members, suggesting that these members are involved in regulating diverse physiological processes in millet. Transcriptome data under low-nitrogen conditions showed significant differences in the expression profiles of SiNLP2 and SiNLP4 compared to the other members. RNA-seq and qRT-PCR results demonstrated that SiNLP2 significantly responds to low-nitrogen stress. Notably, we found that SiNLP2 is involved in nitrogen pathways by regulating the expression of the SiNAR2.1A, SiNAR2.1B, SiNRT1.1, and SiNR2 genes. More importantly, we identified an elite haplotype, Hap2, of SiNLP2, which is gradually being utilized in the breeding process. Our study established a foundation for a comprehensive understanding of the SiNLP gene family and provided gene resources for variety improvement and marker-assisted selection breeding.

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