CottonGVD: A Comprehensive Genomic Variation Database for Cultivated Cottons.
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ABSTRACT:
SUBMITTER: Peng Z
PROVIDER: S-EPMC8724205 | biostudies-literature |
REPOSITORIES: biostudies-literature
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Project description:A high-resolution genetic map is a useful tool for assaying genomic structural variation and clarifying the evolution of polyploid cotton. A total of 36956 SSRs, including 11289 released in previous studies and 25567 which were newly developed based on the genome sequences of G. arboreum and G. raimondii, were utilized to construct a new genetic map. The new high-density genetic map includes 6009 loci and spanned 3863.97?cM with an average distance of 0.64?cM between consecutive markers. Four inversions (one between Chr08 and Chr24, one between Chr09 and Chr23 and two between Chr10 and Chr20) were identified by homology analysis. Comparative genomic analysis between genetic map and two diploid cottons showed that structural variations between the A genome and At subgenome are more extensive than between D genome and Dt subgenome. A total of 17 inversions, seven simple translocations and two reciprocal translocations were identified between genetic map and G. raimondii. Good colinearity was revealed between the corresponding chromosomes of tetraploid G. hirsutum and G. barbadense genomes, but a total of 16 inversions were detected between them. These results will accelerate the process of evolution analysis of Gossipium genus.
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Project description:Rice Variation Map (RiceVarMap, http:/ricevarmap.ncpgr.cn) is a database of rice genomic variations. The database provides comprehensive information of 6,551,358 single nucleotide polymorphisms (SNPs) and 1,214,627 insertions/deletions (INDELs) identified from sequencing data of 1479 rice accessions. The SNP genotypes of all accessions were imputed and evaluated, resulting in an overall missing data rate of 0.42% and an estimated accuracy greater than 99%. The SNP/INDEL genotypes of all accessions are available for online query and download. Users can search SNPs/INDELs by identifiers of the SNPs/INDELs, genomic regions, gene identifiers and keywords of gene annotation. Allele frequencies within various subpopulations and the effects of the variation that may alter the protein sequence of a gene are also listed for each SNP/INDEL. The database also provides geographical details and phenotype images for various rice accessions. In particular, the database provides tools to construct haplotype networks and design PCR-primers by taking into account surrounding known genomic variations. These data and tools are highly useful for exploring genetic variations and evolution studies of rice and other species.
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