MusaRgeneDB: an online comprehensive database for disease resistance genes in Musa spp

• Published in: 3 Biotech Vol. 12; no. 9; p. 222
• Main Authors: Anuradha, Chelliah, Chandrasekar, Arumugam, Backiyarani, Suthanthiram, Uma, Subbaraya
• Format: Journal Article
• Language: English
• Published: Cham Springer International Publishing 01.09.2022; Springer Nature B.V
• Subjects: Agriculture; alleles; Arabidopsis; Bananas; Bioinformatics; Biomaterials; Biotechnology; Breeding; Cancer Research; Chemistry; Chemistry and Materials Science; Cloning; Crop production; Cultivars; Disease; Disease resistance; durability; Gene sequencing; Genes; Genetic modification; Genetic transformation; Genomes; Homology; introgression; Musa; Musaceae; Original; Original Article; Pests; Plant breeding; rice; Sorghum; species; Stem Cells; Stresses; spp; SSR; R genes; DEG; MySQL; Database; PHP; Musa spp
• ISSN: 2190-572X; 2190-5738
• DOI: 10.1007/s13205-022-03285-1

Banana is one of the major food crops and its production is subject to many pests and diseases. Banana breeding exploits wild relatives and progenitor species for the introgression of resistant genes (R) into cultivated varieties to overcome these hurdles. With advances in sequencing technologies, whole-genome sequences are available for many Musa spp. and many of them are potential donors of disease resistance genes. Considering their potential role, R genes from these species were explored to develop an user-friendly open-access database that will be useful for studying and implementing disease resistance in bananas. MusaRgene database is complemented with complete details of 3598 R genes identified from eight Musa spp. and rice, Arabidopsis , sorghum along with its classification and separate modules on its expression under various stresses in resistant and susceptible cultivars and corresponding SSRs are also provided. This database can be regarded as the primary resource of information on R genes from bananas and their relatives. R genes from other allele mining studies are also incorporated which will enable the identification of its homolog in related Musa spp. MusaRgene database will aid in the identification of genes and markers associated, cloning of full-length R genes, and genetic transformation or gene editing of the R genes in susceptible cultivars. Multiple R genes can also be identified for pyramiding the genes to increase the level of resistance and durability. Overall, this database will facilitate the understanding of defense mechanisms in bananas against biotic or abiotic stresses leading to the development of promising disease-resistant varieties.