MGDb: An analyzed database and a genomic resource of mango (Mangifera Indica L.) cultivars for mango research

Abstract

Mango is one of the famous and fifth most important subtropical/tropical fruit crops worldwide with the production centered in India and South-East Asia. Recently, there has been a worldwide interest in mango genomics to produce tools for Marker Assisted Selection and trait association.There are no web-based analyzed genomic resources available for mango particularly. Hence a complete mango genomic resource was required for improvement in research and management of mango germplasm. In this project, we have done comparative transcriptome analysis of four mango cultivars i.e. cv. Langra, cv. Zill, cv. Shelly and cv. Kent from Pakistan, China, Israel, and Mexico respectively. The raw data is obtained through De-novo sequence assembly which generated 30,953-85,036 unigenes from RNA-Seq datasets of mango cultivars. The project is aimed to provide the scientific community and general public a mango genomic resource and allow the user to examine their data against our analyzed mango genome databases of four cultivars (cv. Langra, cv. Zill, cv. Shelly and cv. Kent). A mango web genomic resource MGdb, is based on 3-tier architecture, developed using Python, flat file database, and JavaScript. It contains the information of predicted genes of the whole genome, the unigenes annotated by homologous genes in other species, and GO (Gene Ontology) terms which provide a glimpse of the traits in which they are involved. This web genomic resource can be of immense use in the assessment of the research, development of the medicines, understanding genetics and provides useful bioinformatics solution for analysis of nucleotide sequence data. We report here world's first webbased genomic resource particularly of mango for genetic improvement and management of mango genome.

Advances in sequencing and key character analysis of mango (Mangifera indica L.)

“…Shelly, and Cv. Kent – and, moreover, conducted a comparative analysis of the transcriptome [ 25 ]. This paper reports the world’s first online genome resource focusing on mango.…”

“…This paper reports the world’s first online genome resource focusing on mango. It contains predicted gene information of the whole genome, unigenes annotated by homologous genes of other species, and Gene Ontology (GO) terms, providing a mango genome resource and allowing users to analyse the genome database of four mango varieties for genetic improvement and management of mango genome [ 25 ].…”