Evidence map›Paper›PMID 42160072›Full record

ArticleG3 (Bethesda, Md.)2026

Integration of DNA methylation and gene expression analysis in Gephyrocapsa huxleyi provides insight into genes related to calcification.

Xiaoyu Zhang, Betsy Read

Abstract read
In one paragraph

Article in G3 (Bethesda, Md.), 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing 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

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

2 authors.

Xiaoyu ZhangDepartment of Computer Science and Engineering, California State University San Marcos, San Marcos, CA 92078, United States.ORCID 0000-0001-8332-2547
Betsy ReadDepartment of Biological Sciences, California State University San Marcos, San Marcos, CA 92078, United States.

Funding

Understanding Biomineralization in Coccolithophores by Comparative Genomic, Transcriptomic and Epigenetic AnalysesSC3GM122659 · NIGMS · CALIFORNIA STATE UNIVERSITY SAN MARCOS · PI ZHANG, XIAOYU · 2017 to 2020
$432k
NIH HHS SC3GM122659
6 · The paper itself

Abstract

Coccolithophores, such as Gephyrocapsa huxleyi (formerly Emiliania huxleyi) play a key role in oceanic carbon cycling through calcification. However, the molecular mechanisms regulating coccolith formation remain unclear. In this study, we performed an integrative analysis of whole-genome bisulfite sequencing (WGBS) and RNA-Seq data on two closely related strains of G. huxleyi: the calcifying M217 and the non-calcifying CCMP1516. We identified over 17,000 differentially methylated regions (DMRs) and more than 12,000 differentially expressed genes (DEGs) between the two strains. Our findings reveal statistical associations between DNA methylation patterns-particularly in CpG contexts-and changes in gene expression, implicating epigenetic regulation of calcification. Functional enrichment analyses highlighted genes involved in dynein complex activity, phosphate transport, carbonic anhydrase function, and calcium signaling as key contributors to biomineralization. Statistical modeling confirmed that hypo-methylation in promoter and gene regions is positively associated with gene expression, especially in calcification-related genes. However, the expression differences between the strains are complex and cannot be fully explained by methylation changes alone. This work provides new molecular insights into epigenetic regulation of biomineralization in coccolithophores, with implications for understanding environmental adaptation and biogeochemical cycling.

Indexed as

Calcification, PhysiologicDNA MethylationGene Expression ProfilingGene Expression RegulationHaptophytaCpG IslandsEpigenesis, GeneticPromoter Regions, GeneticbiomineralizationcalcificationcoccolithophoreDNA methylationepigenetic regulationfunctional genomicsgene expressionGephyrocapsa huxleyi

Identifiers

PMID42160072
PMCPMC13334186

What Socratic holds

Textmetadata
LicenceCC BY
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Registered trials

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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.