Welcome to DOO!

The deep ocean is one of Earth’s most vast and least explored frontiers, characterised by extreme conditions such as high pressure, limited light and nutrient scarcity. These environments pose unparalleled challenges to life, making them invaluable for studying genetic and molecular adaptations to extreme conditions. Emerging omics resources have recently provided significant insights into the advanced understanding of deep ocean ecosystems and evolution. However, a centralised resource for deep ocean multi-omics data remains lacking. To bridge this gap, we present the Deep Ocean Omics (DOO) database, a multi-omics atlas for deep ocean organisms. DOO integrates diverse omics resources from 68 species across seven phyla and 16 classes, encompassing 72 genomes, 950 bulk transcriptomes, 15 single-cell transcriptomes and 1112 metagenomes, alongside functional support toolkits for functional and comparative analysis. DOO provides a systematic view of genomic information, including genome assembly, phylogeny, gene annotation, BUSCO genes, transcription factors/ubiquitin family, gene cluster, symbiont and mitochondrial genomes and fossil records. Moreover, DOO offers co-expression networks with expression views across different tissues and developmental stages and micro- and macrosynteny analyses to elucidate the pan-evolutionary features of genome structure. As the first comprehensive multi-omics resource dedicated to deep ocean organisms, DOO serves as a pivotal platform for uncovering multi-omics underpinnings of deep ocean organisms and offering insights into the understanding of deep ocean biodiversity, evolution and genetic adaptation under extreme conditions.

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Blo
Llu
Lsa
Oal
Esp
Lco
Lpo
Osp
Ofr
Pec
Ppa
Rpi
Ofe
Rpa
Ake
Bja
Iya
Scr
Hgi
Aaf
Bsp1
Bsp2
Bspg
Bmo
Csp
Cru1
Cya
Isp
Msp
Pan
Psp2
Psp1
Pssp
Psw1
Ska
Ara
Eok
Ibr
Asp1
Ali
Asp2
Aid
Lpe
Pxi
Tsp
Che
Pasp
Zsp
Alma
Adu
Arma
Bla
Bma
Bse
Csh
Csq
Cbi
Dsu
Bpl
Gae
Pbu
Pma
Bbr
Bhe
Tja
Sda
Gha
Gba

Contact Us

If you have any questions, comments or suggestions about our website or our project, please feel free to contact us: jackieyihkb@ust.hk, longjunwu@ust.hk and boqianpy@ust.hk. If you want to know more about our work, welcome to Longjun Wu's Lab and Pei-yuan Qian's Lab.



Data Statistics
  • Phylum/Class/Order/Speices: 7/15/35/68
  • Fossil records: 1,413
  • Protein-coding genes: 1,449,954
  • Busco Genes: 16,015
  • Transcriptomic datasets: 950
  • Co-expressed gene pairs:2,005,358
  • SnRNA-seq datasets:15
  • Cell types:14
  • Cell markers:1,794
  • Metagenome datasets:1,112
  • Assembled symbiont genomes: 131
  • Annotated microbial genes: 92,682
  • Mitochondrial datasets: 53
  • Type of gene annotation:7
  • KEGG pathways: 18,539
  • Transcription factors: 60,866
  • Ubiquitin family: 82,844
  • Gene Ontology: 3,606,859
  • Interpro Annotation: 3,640,096
  • Pfam Domain: 1,281,713
  • PATHER: 928,123
  • Macrosynteny gene pairs: 398,247
  • Gene family: 1,385,060
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