Genome wide identification of MADS box gene family in Musa balbisiana and their divergence during evolution.

MADS box gene family is transcription factor gene family that is involved in growth and development of eukaryotes. In plants the MADS box gene family is mainly associated with floral meristem identity and flower development, apart from being involved in nearly all the phases of plant growth. The MADS box gene family has also been shown to be involved during fruit development and ripening. In this study the MADS box gene family from Musa balbisiana was identified and the divergence of this gene family between Musa balbisiana and Musa acuminata studied. A total of 97 MADS box genes were identified from the genome of Musa balbisiana. Phylogenetic analysis showed that the MbMADS box genes were categorised into type I (α and γ; the ß group was not distinguishable) and type II groups (MIKCc and MIKC* and MIKCc was further divided into 13 subfamilies). The typeII group has the largest number of genes and also showed the most expansion which could be correlated with the whole genome duplications. There were significant differences in the MADS box genes from Musa acuminata and Musa balbisiana during evolution that can be correlated with different floral phenotype and fruit ripening pattern. The divergence of the MADS RIN genes in Musa balbisiana as compared to Musa acuminata might play an important role in the slow ripening of Musa balbisiana fruits.

An In-Silico Approach to Identify Therapeutic Target and Markers Associated with Diabetic Nephropathy.

BACKGROUND: Renal disease in T2DM could arise independent of hyperglycemia, aka non diabetic kidney disease. Their prevalence ranges from 33%to72.5% among T2DM patients. Specific molecular signatures that distinguish Diabetic Nephropathy from NDKD (FSGS) in T2DM might provide new targets for CKD management. METHODS: Five original GEO microarray DN and FSGS datasets were evaluated (GSE111154, GSE96804, GSE125779, GSE129973 and GSE121233). Each of the three groups (DN, FSGS, and Controls) had equal renal transcriptome data (n=32) included in the analysis to eliminate bias. The DEGs were identified using TAC4.0. Pathway analysis was performed on the discovered genes that aligned to official gene symbols using Reactome, followed by functional gene enrichment analysis using Funrich,Enrichr. STRING and Network analyst investigated PPI, followed by Webgestalt's pathway enrichment. Finally, using the Targetscan7.0 and DIANA tools, filtered differential microRNAs downregulated in DN were evaluated for target identification. RESULT: Between the three groups, DN, FSGS, and Control, a total of 194 DEGs. with foldchange >2&<-2 and P-value0.01 were found in the renal transcriptome. In comparison to control, 45 genes were elevated particularly in DN, whereas 43 were upregulated specifically in FSGS. DN datasets were compared to FSGS in a separate analysis. FABP4, EBF1, ADIRF, and ART4 were shown to be among the substantially up-regulated genes unique to DN in both analyses. The transcriptional regulation of white adipocytes was discovered by a pathway analysis. CONCLUSION: The molecular markers revealed might be employed as specific targets in the aetiology of DN, as well as in T2DM patients' therapeutic care.