The cycad genome project is an integration of genomic data of cycads and other related seed plants, including the raw sequencing data, assembly and annotation.
1. Backgroud
2. Data description
2.1 Genome
A Cycas panzhihuaensis genome was assembled and polished by modified softwares NextDenovo and NextPolish. After conjunction with Hi-C chromosome conformation, the C. panzhihuaensis genome comprises 10.5 Gb in 5,123 contigs (N50 = 12 Mb), with 95.3% of the assembled contigs anchored to the largest 11 pseudomolecules, corresponding to the 11 chromosomes (n = 11) of the C. panzhihuaensis karyotype.
2.2 Male specific regions of Y chromosome
SSK_finder pipeline was used to extracted male-specific 21 k-mers, which was then applied to select male-specific Nanopore reads with at least a coverage of 0.2% of each read. the selected long reads were used for genome assembly using NextDenovo, and then the assemblies were polished with male-specific reads by NextPolish. The contigs were assembled into scaffolds using Juicer and 3D-DNA with male-specific Hi-C reads extracted by the same pipeline as for short reads. A total of 45.5 Mb male specific regions was assembled into 43 scaffolds.
2.3 Transcriptome
Transcripts were assembled from cleaned reads of each sample using the Trinity transcript assembler with the k-mer length of 25 bp. and the longest transcripts were selected and translated with Transdecoder.
2.4 Project
Project: https://db.cngb.org/search/project/CNP0001756/ Raw data are available in the CNP0001756.
3. Gallery
Cycas panzhihuaensis
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Alsophila spinulosa
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Dioon spinulosum
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Taxus wallichiana var chinensis
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Bowenia spectabilis
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Ceratozamia robusta
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Encephalartos manikensis
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Lepidozamia peroffskyana
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Macrozamia communis
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Microcycas calocoma
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Stangeria eriopus
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Zamia neurophyllidia
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Ginkgo biloba
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Gnetum montanum
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Liriodendron chinense
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Pinus koraiensis
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4. Publication
Liu, Y., Wang, S., Li, L. et al. The Cycas genome and the early evolution of seed plants. Nat. Plants (2022). https://doi.org/10.1038/s41477-022-01129-7
5.How to analysis in CODEPLOT
The genome and transcriptome data, genome assemblies and annotations can be analyzed in CODEPLOT,you can clone the Cycad dataset to your workspace,then add OrthoFinder or other tool from Tools to your workspace.