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Record W4414441198 · doi:10.1016/j.aqrep.2025.103107

Genome-wide characterization of chemosensory receptor genes in octopus and identification of key genes involved in paralarval benthic settlement

2025· article· en· W4414441198 on OpenAlexfundno aff
Li Bian, Ying Qiao, Juanwen Yu, Jinchao Zhu, Tianshi Zhang, Qing Chang, Siqing Chen

Bibliographic record

VenueAquaculture Reports · 2025
Typearticle
Languageen
FieldAgricultural and Biological Sciences
TopicCephalopods and Marine Biology
Canadian institutionsnot available
FundersCentral Public-interest Scientific Institution Basal Research Fund, Chinese Academy of Fishery SciencesMinistry of Natural ResourcesChinese Academy of Fishery SciencesAgriculture Research System of ChinaMajor Science and Technology Project of Hainan ProvinceNational Natural Science Foundation of China
Keywordsoctopus (software)ReceptorGeneChemoreceptorTranscriptomeFMRFamideReceptor expression

Abstract

fetched live from OpenAlex

The high mortality rate during the benthic settlement process of Octopus sinensis paralarvae represents the primary technical bottleneck constraining the development of its aquaculture industry. The functional roles of chemical factors in this critical transitional phase are unknown. Considering the crucial role of chemosensory receptor genes in chemical factor perception, this study identified three classes of chemosensory receptor genes—Olfactory Receptors (ORs), Ionotropic Receptors (IRs), and Acetylcholine Receptors (ARs)—in both merobenthic species ( O. sinensis , Octopus vulgaris ) and holobenthic species ( Octopus minor , Amphioctopus fangsiao ). The results demonstrated that the number of chemosensory receptor genes identified in all species in this study was comparable. Tissue expression analysis revealed that IRs were widely expressed across multiple olfaction-related organs, while the cephalopod-specific ARs were predominantly expressed in suckers and sucker epithelium. From hatching to adulthood, merobenthic paralarvae exhibited downregulation of nearly half of their chemosensory receptor genes, whereas holobenthic paralarvae showed only about 10 % gene downregulation, reflecting distinct chemosensory receptor expression patterns driven by divergent ecological adaptations between the hatchlings of these two life-history strategies. Based on the analysis of chemosensory receptor gene expression levels at different developmental stages of merobenthic paralarvae, RYamide receptor, Cholecystokinin receptor A (CCKAR), and Free fatty acid receptor 4 (FFAR4) were identified as potential key chemosensory receptor genes involved in the benthic settlement process. All three genes were functionally linked to feeding regulation, suggesting that chemical factors may regulate paralarval physiological functions related to feeding, thereby helping paralarvae conserve energy while awaiting the maturation of their nervous system and arm functionality, which would facilitate a successful transition to benthic settlement. This study laid a solid foundation for identifying key chemical factors involved in the benthic settlement process, which will contribute to breakthroughs in artificial seedling breeding techniques for O. sinensis and promote the development of its aquaculture industry. • The number of chemosensory receptor genes in merobenthic octopod and holobenthic octopod was conserved. • The cephalopod-specific acetylcholine receptors were predominantly expressed in suckers and sucker epithelium. • From hatching to adulthood, merobenthic and holobenthic octopod showed different chemosensory receptor expression patterns. • Three key chemosensory receptor genes identified in merobenthic octopod were all functionally linked to feeding regulation.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.447
Threshold uncertainty score0.191

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.011
GPT teacher head0.226
Teacher spread0.215 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations0
Published2025
Admission routes1
Has abstractyes

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