Evidence map›Paper›PMID 40147624›Full record

ArticleJournal of advanced research2026

Chromosome-level genome provides novel insights into the starch metabolism regulation and evolutionary history of Tetraselmis helgolandica.

Zuodong Zhou, Jiawei E, Qianwen Shi, Wenjun Zhang, Liyun Sun, Jianhua Fan

Abstract read
In one paragraph

Article in Journal of advanced research, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Genome analysis of the glycosphingolipid-producing green alga tetraselmis sp. NKG400013.DNA research : an international journal for rapid publication of reports on genes and genomes · 2026
    Article
  2. Article
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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

6 authors.

Zuodong ZhouState Key Laboratory of Bioreactor Engineering, East China University of Science and Technology, Shanghai 200237, PR China.
Jiawei EDepartment of Applied Biology, East China University of Science and Technology, Shanghai 200237, PR China.
Qianwen ShiState Key Laboratory of Bioreactor Engineering, East China University of Science and Technology, Shanghai 200237, PR China.
Wenjun ZhangDepartment of Applied Biology, East China University of Science and Technology, Shanghai 200237, PR China.
Liyun SunState Key Laboratory of Bioreactor Engineering, East China University of Science and Technology, Shanghai 200237, PR China; Department of Applied Biology, East China University of Science and Technology, Shanghai 200237, PR China.
Jianhua FanState Key Laboratory of Bioreactor Engineering, East China University of Science and Technology, Shanghai 200237, PR China; Department of Applied Biology, East China University of Science and Technology, Shanghai 200237, PR China; School of Chemistry and Chemical Engineering, State Key Laboratory Incubation Base for Green Processing of Chemical Engineering, Shihezi University, Shihezi 832003, PR China. Electronic address: jhfan@ecust.edu.cn.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionTetraselmis helgolandica is a marine microalga belonging to the Chlorophyta phylum. It is widely distributed in the coastal waters of Asia and is commonly used as aquatic feed. T. helgolandica is characterized by its large size, preference for starch accumulation, low temperature tolerance, presence of flagella, and strong motility. However, research on T. helgolandica is limited, and its genome data remains unavailable.

objectiveWe generated a high-quality, chromosome-scale genome of T. helgolandica. Through comparative genomics, we uncovered the genome characteristics and evolutionary history of T. helgolandica. Additionally, by integrating transcriptome data, we elucidated how the light-dark rhythm enhances the high starch production.

methodsWe utilized long-read sequencing data and high-throughput chromosome conformation capture data from the Oxford Nanopore platform to construct a high-quality genome of T. helgolandica. Genome annotation was performed using multiple databases, and comparative genomic analysis was conducted with nine species, including Arabidopsis thaliana, to reveal the evolutionary history. Finally, we combined transcriptome data to elucidate the molecular mechanisms underlying the high starch yield.

resultsCircadian rhythm significantly promote starch accumulation and increase amylose content. The chromosome-scale genome revealed it shares a common ancestor with other green algae approximately 1,017 million years ago. This relatively ancient divergence underscores its evolutionary distinction within the green lineage. It may possess a more complex protein modification mechanism and a more fully developed Golgi apparatus. Circadian rhythm broadly up-regulates key enzymes involved in starch synthesis, including GBSS and Starch Synthase, while down-regulating SS IIIa. This regulation enhances starch accumulation and increases the amylose content.

conclusionThis study provided a high-quality genome of T. helgolandica and revealed the potential mechanism by which the circadian rhythm promotes starch accumulation and increases the amylose ratio. The genome of T. helgolandica will serve as an important resource for evolutionary research and transgenic platform development.

Indexed as

ChlorophytaChromosomes, PlantGenome, PlantStarchEvolution, MolecularGenomicsPhylogenyTranscriptomeStarchCircadian rhythmComparative genomicsGenome assemblyGreen algaeMetabolismStarch synthesis

Identifiers

PMID40147624
PMCPMC12766242

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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.