Genome wide identification and characterization of nodulation related genes in Arachis hypogaea

Nitrogen is an important plant nutrient that has a significant role in crop yield. Hence, to fulfill the needs of sustainable agriculture, it is necessary to improve biological nitrogen fixation in leguminous crops. Nod inducing gene families plays a crucial role in the interaction between rhizobia and legumes, leading to biological nitrogen fixation. However, nod inducing genes identification and characterization has not yet been performed in Arachis hypogaea. In this study, identification and genome-wide analysis of nod inducing genes are performed so that to explore their potential functions in the Arachis hypogaea for the first time. Nod genes were comprehensively analyzed by phylogenetic clustering analysis, gene structure determination, detection of conserved motifs, subcellular localization, conserved motifs, cis-acting elements and promoter region analysis. This study identified 42 Nod inducing genes in Arachis hypogaea, their sequences were submitted to NCBI and accession numbers were obtained. Potential involvement of these genes in biological nitrogen fixation has been unraveled, such as, phylogenetic analysis revealed that nod inducing genes evolved independently in Arachis hypogaea, the amino acid structures exhibited 20 highly conserved motifs, the proteins are present at different locations in cells and the gene structures revealed that all the genes are full-length genes with upstream intronic regions. Further, the promoter analysis determined a large number of cis-regulatory elements involved in nodulation. Moreover, this study not only provides identification and characterization of genes underlying developmental and functional stages of nodulation and biological nitrogen fixation but also lays the foundation for further revelation of nod inducing gene family. Besides, identification and structural analysis of these genes in Arachis hypogaea may provide a theoretical basis for the study of evolutionary relationships in future analysis.