Evidence map›Paper›PMID 40503898›Full record

ArticlemSystems2025

Tracing non-fungal eukaryotic diversity via shotgun metagenomes in the complex mudflat intertidal zones.

He Han, Mengzhi Ji, Yan Li, Xiaofan Gong, Wen Song, Jiayin Zhou, Kai Ma, Yuqi Zhou, Xia Liu, Mengqi Wang and 2 more

Abstract read
In one paragraph

Article in mSystems, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Review
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

12 authors.

He HanInstitute of Marine Science and Technology, Shandong University, Qingdao, Shandong, China.ORCID 0009-0007-8583-2808
Mengzhi JiInstitute of Marine Science and Technology, Shandong University, Qingdao, Shandong, China.
Yan LiInstitute of Marine Science and Technology, Shandong University, Qingdao, Shandong, China.
Xiaofan GongInstitute of Marine Science and Technology, Shandong University, Qingdao, Shandong, China.
Wen SongInstitute of Marine Science and Technology, Shandong University, Qingdao, Shandong, China.
Jiayin ZhouInstitute of Marine Science and Technology, Shandong University, Qingdao, Shandong, China.ORCID 0000-0002-1365-6012
Kai MaInstitute of Marine Science and Technology, Shandong University, Qingdao, Shandong, China.ORCID 0000-0001-7748-7089
Yuqi ZhouInstitute of Marine Science and Technology, Shandong University, Qingdao, Shandong, China.
Xia LiuInstitute of Marine Science and Technology, Shandong University, Qingdao, Shandong, China.
Mengqi WangInstitute of Marine Science and Technology, Shandong University, Qingdao, Shandong, China.
Yueyue LiInstitute of Marine Science and Technology, Shandong University, Qingdao, Shandong, China.
Qichao TuInstitute of Marine Science and Technology, Shandong University, Qingdao, Shandong, China.ORCID 0000-0002-3245-7545

Funding

National Key Research and Development Program of China 2020YFA0607600National Natural Science Foundation of China 32371598
6 · The paper itself

Abstract

Eukaryotes, both micro- and macro-, constitute the dominant component of Earth's biosphere visible to the naked eye. Although relatively big in organismal size, tracing eukaryotic diversity in complex environments is not easy. For example, they may actively escape from sampling and be physically absent from the collected samples. In this study, we strived to recover non-fungal eukaryotic DNA sequences from typical shotgun metagenomes in the complex mudflat intertidal zones. Multiple recently developed approaches for identifying eukaryotic sequences from shotgun metagenomes were comparatively assessed. Considering the low overlap among different approaches, an integrative workflow was proposed. The integrative workflow was then used to recover the eukaryotic communities in complex intertidal sediments. The temporal dynamics of intertidal eukaryotic communities were investigated through a time-series sampling effort. Thirty-four non-fungal eukaryotic phyla were detected from 36 shotgun metagenomes. Clear temporal variation in relative abundance was observed for eukaryotic genera such as

Indexed as

BiodiversityEukaryotaGeologic SedimentsMetagenomeMetagenomicsPhylogenyRNA, Ribosomal, 18SSeashoreRNA, Ribosomal, 18Scommunity diversityDNA fragmentseukaryotic recoveryintertidal ecosystemsnon-fungal eukaryotesshotgun metagenomestemporal patterns

Identifiers

PMID40503898
PMCPMC12282072

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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 OpenQuestion graph.