Evidence map›Paper›PMID 40138012›Full record

ArticleMarine biotechnology (New York, N.Y.)2025

Transcriptomic and Metabolomic Analyses Reveal Response Mechanisms of Sinonovacula Constricta to Saline-Alkalinity Stresses.

Min Yang, Yuting Han, Yujie Chang, Chengbo Li, Donghong Niu

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Article in Marine biotechnology (New York, N.Y.), 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

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2citing 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

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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

2 citing papers in PubMed.

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4 · The record

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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

5 authors.

Min YangShanghai Collaborative Innovation for Aquatic Animal Genetics and Breeding, Shanghai Ocean University, Shanghai, 201306, China.
Yuting HanShanghai Collaborative Innovation for Aquatic Animal Genetics and Breeding, Shanghai Ocean University, Shanghai, 201306, China.
Yujie ChangShanghai Collaborative Innovation for Aquatic Animal Genetics and Breeding, Shanghai Ocean University, Shanghai, 201306, China.
Chengbo LiShanghai Collaborative Innovation for Aquatic Animal Genetics and Breeding, Shanghai Ocean University, Shanghai, 201306, China.
Donghong NiuShanghai Collaborative Innovation for Aquatic Animal Genetics and Breeding, Shanghai Ocean University, Shanghai, 201306, China. dhniu@shou.edu.cn.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The razor clam (Sinonovacula constricta) is a key species in marine aquaculture, known for its wide salinity adaptation, and potential for cultivation in saline-alkaline water. Understanding its response mechanisms is crucial for expanding its farming into these regions. This study reveals the response mechanisms of S. constricta in response to low-salinity alkaline stress through a combined analysis of transcriptomics and metabolomics. After 24 h of salt-alkali stress (SA group), 1378 differentially expressed genes (DEGs) were identified, with enriched pathways including glycerophospholipid metabolism, serine, taurine, and hypotaurine metabolism. Additionally, 341 significantly different metabolites (SDMs) were found, primarily involved in taurine and hypotaurine metabolism, purine metabolism, and the FoxO signaling pathway, etc. Both DEGs and SDMs were notably enriched in hypotaurine metabolism, glycerophospholipid metabolism, and the mTOR signaling pathway, showing significant upregulation in the SA group. Correlation analysis found that the integrated regulatory network was involved in the synthesis of taurine, glycerophospholipids, and L-glutamic acid, and the metabolism of 3-mercaptopropionic acid. These results suggest that low salinity and alkalinity induce stress responses in S. constricta by regulating osmotic balance, phospholipid synthesis, and lipid metabolism. This study offers insights into the molecular mechanisms of salt-alkali response in S. constricta.

Indexed as

BivalviaMetabolomeSalt StressStress, PhysiologicalTranscriptomeAnimalsGene Expression ProfilingMetabolomicsSalinityTaurinehypotaurineTaurineAlkalinityMetabolomeSalinitySinonovacula constrictaTranscriptome

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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.