Home - SesbaniaOmics

SesbaniaOmics is a specialized multi-omics database for Sesbania plants, integrating genomic, transcriptomic, proteomic, epigenomic, and phenotypic data. This resource supports research on salt-tolerance mechanisms, enabling genetic improvement and molecular breeding of stress-resistant crops. By providing comprehensive biological data, SesbaniaOmics facilitates sustainable agriculture in saline-affected regions, addressing global soil salinization challenges.

species

This module archives genus and species information of salt-tolerant plants from all over the world.

79 Genus

119 Organisms

This module collects genome assembly and gene annotation data for each species

79 Genome assemblies

187380 Annotated genes

This module comprises RNA-seq datasets obtained from distinct tissues / stages or different treatment conditions.

171 RNA-seq samples

Express-Pattern & Different-Exp

This module contains genomic variants, including SNPs, InDels from a group of populations.

360 Individuals

56274254 Variants

This module collects epigenomic data, including dna methylation from a variety of species

48 xxxx

41 xxxx

This module collects plant phenotype data from different environments.

19 Traits

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Related publications

• Telomere-to-telomere genome of the allotetraploid legume Sesbania cannabina reveals transposon-driven subgenome divergence and mechanisms of alkaline stress tolerance. Science China Life Sciences (2023).

• The Spartina alterniflora genome sequence provides insights into the salt-tolerance mechanisms of exo-recretohalophytes. Plant biotechnology journal (2024).

Resource

Tools

BLAST-Toolkits

BLASTN BLASTP BLASTX TBLASTN

Seq-Fetch

GO Enrichment

KEGG Enrichment

News

Meta information of 119 species is online. (2025/08/30) Transcriptome model is online. (2025/08/01) 10 organisms are add to species model. (2025/07/22) Species information is online. (2025/07/20) SesbaniaOmics is online. (2024/11/20)

Links

Genome Variation Map (GVM) Open Plant Image Archiva (OPIA) GWAS Atlas SoyOmics SugarcaneOmics

Visitors