Supporting data for "First de novo whole genome sequencing and assembly of mutant Dendrobium hybrid cultivar Emma White"
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http://gigadb.org/dataset/102239
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<i>Dendrobium</i> hybrid cultivar Emma White is an ornamental orchid with high commercial demand. We have used gamma-ray induced early flowering mutant to generate draft genome sequences with total length of 678,650,699 bp (longest contig 447,500 bp) with N50 of 1,423 bp using the Illumina HiSeqX10 sequencing platform. Here, we report first <i>de novo</i> whole genome sequencing and assembly of an early flowering gamma mutant of Emma White hybrid for developing a genomics resource for further studies. The GC content of genome was 33.48%, and predicted 95,529 genes from contig assembly. The predicted genes from the MaSuRCA (version 4.0.3) assembled contigs, when compared with UniProt database using BLASTX program with e-value cutoff of 0.001 resulted in 60,741 potential genes governing different pathways in terms for molecular functions, biological process and cellular components. We also identified 216,232 SSRs and 138,856 microsatellite markers.<br>Chromosome level genome assembly of <i>Dendrobium huoshanense</i> species was used to RagTag scaffold the available contigs of mutant, where it contained total length of 687,254,899 bp with N50 value 2,096. The final contig lengths ranged from 30,571 bp to 18,000,059 bp. The genome completeness for Emma White RagTag scaffold assembly was assessed to be 93.6% using BUSCO v5.2.1 against the Viridiplantae odb10 orthologous dataset. <i>De novo</i> whole genome sequencing of gamma mutant <i>Dendrobium</i> hybrid cultivar Emma White (10Gy) isolate was deposited to National Centre for Biotechnology Information (NCBI) with SRA accession SRR16008784, Genebank assembly accession GCA_021234465.1 under BioProject ID PRJNA763052. This study could provide valuable information for investigating the potential mechanisms of mutation, and guidance for developing <i>Dendrobium</i> hybrid cultivars using mutation breeding.
提供机构:
GigaScience Database
创建时间:
2022-08-03



