The Musa Marker Database: A Comprehensive Genomic Resource for the Improvement of the Musaceae Family

Author:

Biswas Manosh Kumar12ORCID,Biswas Dhiman3,Yi Ganjun2,Deng Guiming2ORCID

Affiliation:

1. Department of Genetics and Genome Biology, University of Leicester, Leicester LE1 7RH, UK

2. Institute of Fruit Tree Research, Guangdong Academy of Agricultural Sciences, Tianhe District, Guangzhou 510640, China

3. Department of Computer Science and Engineering, Maulana Abul Kalam Azad University of Technology, Kolkata 741249, India

Abstract

Molecular markers, including Simple Sequence Repeat (SSR), Single Nucleotide Polymorphism (SNP), and Intron Length Polymorphism (ILP), are widely utilized in crop improvement and population genetics studies. However, these marker resources remain insufficient for Musa species. In this study, we developed genome-wide SSR, SNP, and ILP markers from Musa and its sister species, creating a comprehensive molecular marker repository for the improvement of Musa species. This database contains 2,115,474 SSR, 63,588 SNP, and 91,547 ILP markers developed from thirteen Musa species and two of its relative species. We found that 77% of the SSR loci are suitable for marker development; 38% of SNP markers originated from the genic region, and transition mutations (C↔T; A↔G) were more frequent than transversion. The database is freely accessible and follows a ‘three-tier architecture,’ organizing marker information in MySQL tables. It has a user-friendly interface, written in JavaScript, PHP, and HTML code. Users can employ flexible search parameters, including marker location in the chromosome, transferability, polymorphism, and functional annotation, among others. These distinctive features distinguish the Musa Marker Database (MMdb) from existing marker databases by offering a novel approach that is tailored to the precise needs of the Musa research community. Despite being an in silico method, searching for markers based on various attributes holds promise for Musa research. These markers serve various purposes, including germplasm characterization, gene discovery, population structure analysis, and QTL mapping.

Funder

Natural Science Foundation of China

earmarked fund for CARS

Publisher

MDPI AG

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