Mining genic resources regulating nitrogen‐use efficiency based on integrative biological analyses and their breeding applications in maize and other crops

• DOI: 10.1111/tpj.16550
• Publication Date: 2023-11-15T21:44:04Z
• Authors: Jiapeng Xing; Juan Zhang; Yanbo Wang; Xun Wei; Zechao Yin; Yuqian Zhang; Aqing Pu; Zhenying Dong; Yan Long; Xiangyuan Wan
• Keywords: Molecular breeding; Genome-wide Association Study; Trait; Plant Breeding

SUMMARY Nitrogen (N) is an essential factor for limiting crop yields, and cultivation of crops with low nitrogen‐use efficiency (NUE) exhibits increasing environmental ecological risks. Hence, it crucial to mine valuable NUE improvement genes, which very important develop breed new varieties high in sustainable agriculture system. Quantitative trait locus (QTL) genome‐wide association study (GWAS) analysis are the most common methods dissecting genetic variations underlying complex traits. In addition, advancement biotechnology, multi‐omics technologies can be used accelerate process exploring variations. this study, we integrate substantial data QTLs, quantitative nucleotides (QTNs) from GWAS, including transcriptome, proteome, metabolome further analyze their interactions predict some NUE‐related candidate genes. We also provide genic resources among maize, rice, wheat, sorghum by homologous alignment collinearity analysis. Furthermore, propose utilize knowledge gained classical cases frameworks improving breeding N‐efficient through integrated genomics, systems biology, modern technologies.