TeaPVs: a comprehensive genomic variation database for tea plant (Camellia sinensis)

Area of Science:

• Genomics
• Bioinformatics
• Plant Science

Background:

• Genome variation is crucial for plant phenotypic modeling, adaptive evolution, and gene expression regulation.
• The tea plant (Camellia sinensis) possesses a large genome, making genome-wide variant identification challenging and resource-intensive.
• A lack of integrated platforms hinders the analysis of extensive tea plant population sequencing data.

Purpose of the Study:

• To establish the first comprehensive tea plant variation web service database.
• To integrate and analyze genetic variation data from diverse tea plant populations.
• To provide a user-friendly platform for accessing and exploring tea plant genomic variations.

Main Methods:

• Collected and analyzed over 20 Tb of sequencing data from 238 whole-genome resequencing, 213 transcriptome sequencing, and 96 hybrid F1 individuals.
• Developed the TeaPVs web service database (http://47.106.184.91:8025/ and http://liushang.top:8025/) to host identified genetic variations.
• Implemented search functionalities for single nucleotide polymorphism (SNP), insertion-deletion (Indel), structural variation (SV), and simple sequence repeat (SSR) mutations.

Main Results:

• Successfully constructed the TeaPVs database, integrating extensive genetic variation information for tea plants.
• The database supports searching for various mutation types (SNP, Indel, SV) and SSR sequences by location or gene ID.
• Additional features include gene expression search, sequence BLAST, and extraction of coding sequences (CDS) and mutation loci.

Conclusions:

• TeaPVs serves as a comprehensive bioinformatics platform for tea plant genetic variation research.
• The database facilitates the discovery of novel functional mutations within the tea plant genome.
• TeaPVs is expected to significantly aid molecular marker-assisted breeding in tea plants.