Alfalfa (Medicago sativa L.) is a versatile and valuable crop that has been cultivated for over 2,000 years. As a perennial flowering plant in the legume family, Fabaceae, it is also known as lucerne and is widely grown as a forage crop for livestock. Originally native to Europe and Asia, it is now grown in many parts of the world, including the United States, Canada, Australia, and South Africa. It is a highly nutritious plant that is rich in protein, minerals, and vitamins. This feature have allowed it to be cultivated in many parts of the world, making it a valuable crop for farmers and consumers alike. The accumulation of multidimensional and multi-omics data for alfalfa has been made possible by recent advancements in high-throughput techniques. The integration of this information holds great potential to expedite genetic research and facilitate advancements in alfalfa agronomic traits. To this goal, we have developed a comprehensive database named MODMS, which incorporates multiple reference genomes, annotations, comparative genomics, transcriptomes, high-quality genetic variants, proteomics, and metabolomics.
This module is a tool designed for analyzing and interpreting genomic data. It collects four alfalfa varieties genome assemblies and one genome assembly of M. truncatula.
This module comprises 18 transcriptome datasets obtained from distinct tissues or subjected to different treatment conditions.
This module is designed to collect annotations of polymorphic variations, including SNPs, InDels, and SVs from populations of 200 individuals.
This module collected thirteen proteomics datasets from other research groups and provides the functionality to visualize the expression patterns of paralogs for selected genes at the protein level under different treatments.
This module collected fourteen metabolomics datasets and provided a user-friendly portal that supports researchers in identifying differential metabolites among various conditions by inputting the treatments and the name of alfalfa varieties.
This module is an innovative tool that serves as a comprehensive platform for designing guide RNA (gRNA) sequences targeted to specific genes for gene editing.