Abstract :
Low phosphorus in soil has become an important limit factor affecting the yield and quality of soybean. The
excavation and utilization of high phosphorus efficient related genes is an important prerequisite for the analysis of high pho sphorus mechanism and the improvement of genetic breeding. In this study, the high- and low-efficiency soybean germplasms were used to analyze the root transcriptome data under two different phosphorus conditions through the weight gene co-expression network method.The results showed that there were 15305 high-expressed related genes obtained and were divided into 20 modules, and four of them showed different expressions between these two varieties under two phosphorus treatments. Further analysis results of the Melightcyan module revealed that 268 genes were found in this module, and 13 genes of them were up-regulated with low-phosphorus induction and involved in multiple metabolic pathways. Moreover, the related genes in this module which participate in the phospholipid metabolism pathways showed the most highest expression levels. Finally, combined with the previous reports, six kinds of related genes with high efficient utilization of soybean phosphorus were screened out, which could provide useful candidate genes for the molecular mechanism analysis and breeding improvement in soybean.
Keyword :
Soybean; Low-phosphorous Stress; Weighted Gene Co-expression Network Analysis; Transcriptome sequencing; Candidate gene