Evidence map›Paper›PMID 41171126›Full record

ArticleNucleic acids research2026

DOO: integrated multi-omics resources for deep ocean organisms.

Jiajie She, Pei-Yuan Qian, Longjun Wu

Abstract read
In one paragraph

Article in Nucleic acids research, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

3 authors.

Jiajie SheSouthern Marine Science and Engineering Guangdong Laboratory (Guangzhou), Nansha, Guangzhou 510000, China.ORCID 0000-0003-4286-6411
Pei-Yuan QianSouthern Marine Science and Engineering Guangdong Laboratory (Guangzhou), Nansha, Guangzhou 510000, China.
Longjun WuDepartment of Ocean Science and Otto Poon Center for Climate Resilience and Sustainability, The Hong Kong University of Science and Technology, Hong Kong SAR 999077, China.ORCID 0000-0002-7580-5503

Funding

Early Career Scheme 26104824Otto Poon Center for Climate Resilience and Sustainability CCRS25SC01Southern Marine Science and Engineering Guangdong Laboratory (Guangzhou) 2021HJ01Southern Marine Science and Engineering Guangdong Laboratory (Guangzhou) HJRC2022001Southern Marine Science and Engineering Guangdong Laboratory (Guangzhou) SMSEGL24SC01Technology Innovation Committee of Shenzhen 26104824Technology Innovation Committee of Shenzhen JCYJ20220530151207016
6 · The paper itself

Abstract

The deep ocean is one of Earth's most vast and least explored frontiers, characterized 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 centralized resource for deep ocean multi-omics data remains lacking. To bridge this gap, the Deep Ocean Omics (DOO, https://DeepOceanOmics.org) database, a multi-omics atlas for deep ocean organisms, is presented. 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 clusters, 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.

Indexed as

Aquatic OrganismsDatabases, GeneticGenomicsAnimalsMetagenomeMolecular Sequence AnnotationMultiomicsOceans and SeasPhylogenyTranscriptome

Identifiers

PMID41171126
PMCPMC12807757

What OpenQuestion holds

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Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.