Version 1
: Received: 27 December 2023 / Approved: 27 December 2023 / Online: 28 December 2023 (10:08:47 CET)
Version 2
: Received: 12 April 2024 / Approved: 15 April 2024 / Online: 15 April 2024 (10:44:37 CEST)
Biswas, M.K.; Biswas, D.; Yi, G.; Deng, G. The Musa Marker Database: A Comprehensive Genomic Resource for the Improvement of the Musaceae Family. Agronomy2024, 14, 838.
Biswas, M.K.; Biswas, D.; Yi, G.; Deng, G. The Musa Marker Database: A Comprehensive Genomic Resource for the Improvement of the Musaceae Family. Agronomy 2024, 14, 838.
Biswas, M.K.; Biswas, D.; Yi, G.; Deng, G. The Musa Marker Database: A Comprehensive Genomic Resource for the Improvement of the Musaceae Family. Agronomy2024, 14, 838.
Biswas, M.K.; Biswas, D.; Yi, G.; Deng, G. The Musa Marker Database: A Comprehensive Genomic Resource for the Improvement of the Musaceae Family. Agronomy 2024, 14, 838.
Abstract
The availability of genomic sequences and bioinformatics tools has facilitated genome-scale marker discovery. Microsatellite (SSR), Single Nucleotide Polymorphism (SNP), and Intron Length Polymorphism (ILP) markers are widely used in crop improvement and population genetics studies, developed using extensive bioinformatics pipelines. Here we introduce the Musa Molecular Marker Database (MMdb) as a valuable online resource for enhancing Musa species. It is a diverse array of molecular markers resources, including SSR, SNP, and ILP. This database contains 2115474 SSR, 63588 SNP, and 91547 ILP markers developed from twelve Musa species and three of its relative species. This online resource is freely accessible, following a 'three-tier architecture,' and organizes marker information in MySQL tables. It has user-friendly interface, that is 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. This unique feature sets MMdb apart from existing marker databases, offering a novel approach that caters to the 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.
Keywords
Microsatellite; SNP; ILP; database; Musa sp.
Subject
Biology and Life Sciences, Horticulture
Copyright:
This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
