| Cotton is an important crop,and its fibers can be used as the main raw material for the textile industry.In recent years,the problem of a large population in China,resulting in a small per capita arable area,has become increasingly prominent.It goes without saying how important it is to solve the current problem of land competition for food crops and cotton in China.In order to solve this problem,systems biology technology has been widely applied.With the continuous progress of modern analytical technology,the accumulation of databases and the development of bioinformatics,metabolomics and transcriptome have developed rapidly.In order to study the physiological and biochemical mechanisms related to early maturing traits in cotton,we selected the early maturing variety Zhongmiansuo 50 and the mid late maturing variety Guoxinmian 11.We took the top buds of cotton at the 1-leaf,3-leaf,and 5-leaf stages,and based on metabolomics,studied the differences in metabolites during flower bud differentiation stages among different mature cotton varieties.At the same time,based on the existing transcriptome sequencing results,we will carry out correlation analysis between them,enrich the important pathways related to the changes of metabolites in different stages of cotton flower bud differentiation,build the core regulatory network of metabolites in the flower bud differentiation stage,and supplement and improve the development mechanism of cotton.The research results are as follows:1.Overall,72761 genes were obtained from transcriptome sequencing of cotton in each phase.The results showed that there were 616 differential genes in the first real leaf stage,782 differential genes in the third real leaf stage and 842 differential genes in the fifth real leaf stage.Through GO analysis and KEGG analysis,we obtained a significant enrichment of differential genes in secondary metabolite biosynthesis,starch and sucrose metabolism,etc.The expression patterns of randomly selected genes(Ghydi L,Gh PILS1,Gh UGT84A13,Gh WSD1)were detected using q RT-PCR,and the results were consistent with the trend of RNA-seq results.2.For the time being,differences in metabolic products between different types of cotton at different stages occurred.The results of the metabolic test showed that there were a total of 828 metabolites at the cotton bud differentiation stage,including54-carbohydrates,65-amino acids and their derivatives,54-organic acids,152-phenolic acids and 193-flavonoids.In addition,there are nucleotides,alkaloids,terpenoids,and lipids.Compare Zhongmiansuo 50 and Guoxinmian 11 in pairs at different stages,and use Guoxinmian 11 as the control group.There are 68,56,and 62 different metabolites obtained during the three stages,respectively.Through data analysis,metabolic pathways and secondary metabolites were significantly enriched.3.The differential metabolites detection results were correlated with the transcriptome sequencing data for analysis.We enriched the regulatory pathways of the correlation results and obtained the relevant pathways of cotton flower bud differentiation stage through analysis.Among them,we have identified pathways that may be related to early maturity and flowering of cotton,such as metabolic pathways and biosynthesis.Based on Benzoylformic acid 、 L-Tyramine 、 2-Phenylethanol and Benzamide in the O2 PLS model,and phenylalanine metabolism,three genes Gh IAA16,Gh SAUR71,and Gh TDC that may be related to flower bud differentiation were selected and their functions were demonstrated.Overexpression of these three genes in Arabidopsis was observed,and the phenotype of Arabidopsis was observed.The flowering time was later than that of the wild-type,ultimately leading to the conclusion that the early maturing trait of cotton may be regulated to some extent by metabolic substances. |
PDF Full Text Request