Evidence map›Paper›PMID 42009767›Full record

ArticleScientific reports2026

Transcriptomic and physiological analysis of Dunaliella salina under sistan deep water in Iran.

Najmeh Rameshi, Abbasali Emamjomeh, Ahmad Gharaei, Leila Mehravaran, Yasub Shiri

Abstract read
In one paragraph

Article in Scientific reports, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0citing papers in PubMed
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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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

5 authors.

Najmeh RameshiDepartment of Plant Breeding and Biotechnology (PBB), Faculty of Agriculture, University of Zabol, 98615-538, Zabol, 9861335856, Iran.
Abbasali EmamjomehDepartment of Plant Breeding and Biotechnology (PBB), Faculty of Agriculture, University of Zabol, 98615-538, Zabol, 9861335856, Iran. aliimamjomeh@uoz.ac.ir.
Ahmad GharaeiDepartment of Fisheries, Faculty of Natural Resources, University of Zabol, Zabol, Iran.
Leila MehravaranDepartment of Plant Breeding and Biotechnology (PBB), Faculty of Agriculture, University of Zabol, 98615-538, Zabol, 9861335856, Iran.
Yasub ShiriAgronomy and Plant Breeding Department, Agriculture Research Center, Research Institute of Zabol, Zabol, 9861673831, Iran.

Funding

University of Zabol IR-UOZ-GR-2874University of Zabol IR-UOZ-GR-7925
6 · The paper itself

Abstract

The freshwater crisis in arid and semi-arid regions has increasingly prompted the exploration of alternative water resources, such as deep groundwater. Consequently, this study employed RNA-Seq technology to investigate the effect of deep groundwater on the growth performance and transcriptomic changes of Dunaliella salina. The findings indicated that the unique chemical properties of deep groundwater, particularly the elevated concentrations of nitrate, sulfate, and fluoride, facilitated cell growth, pigment production, and alterations in gene expression. Mapping results revealed that from the 18,740 genes annotated in the Dunaliella reference genome, Transcripts were detected for 18,317 genes in the RNA-Seq data. Among these, 9892 genes demonstrated significant differential expression at the 0.01 threshold. Gene Ontology (GO) analysis revealed the upregulation of genes associated with ribosome synthesis, stress response, photosynthetic activities, and ion regulation. The reconstruction of the co-expression network for upregulated genes indicated that rpl3, rpl8, and prpl13, which displayed the highest direct connectivity with other genes in the network, are crucial for ribosomal structure and the translation process. The outcomes of this research offer important insights into the regulatory mechanisms of Dunaliella salina in response to varying water sources and may significantly contribute to the optimization and industrial utilization of this microalga.

Indexed as

ChlorophyceaeGroundwaterTranscriptomeGene Expression ProfilingGene OntologyIranDunaliella salinaLipidqPCRRNA-SeqSecondary metabolites

Identifiers

PMID42009767
PMCPMC13265944

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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 Socratic graph.