Evidence map›Paper›PMID 42441068›Full record

ArticleISME communications2026

Microbial community shifts in deposits from the 2018 Palu-Donggala tsunami.

Wenshu Yap, Adam D Switzer, Jędrzej M Majewski, Winona Wijaya, Ezequiel Santillan, Rachel Y S Guan, Benjamin P Horton, Benazir Benazir, Ella Meilianda, Federico M Lauro

Abstract read
In one paragraph

Article in ISME communications, 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

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

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

10 authors.

Wenshu YapEarth Observatory of Singapore, Nanyang Technological University, 639798, Singapore.ORCID https://orcid.org/0000-0001-9238-5582
Adam D SwitzerEarth Observatory of Singapore, Nanyang Technological University, 639798, Singapore.ORCID https://orcid.org/0000-0002-4352-7852
Jędrzej M MajewskiEarth Observatory of Singapore, Nanyang Technological University, 639798, Singapore.ORCID https://orcid.org/0000-0002-4389-3609
Winona WijayaAsian School of the Environment, Nanyang Technological University, 639798, Singapore.ORCID https://orcid.org/0000-0003-0784-4399
Ezequiel SantillanSingapore Centre for Environmental Life Sciences Engineering, Nanyang Technological University, 637551, Singapore.ORCID https://orcid.org/0000-0002-0258-9037
Rachel Y S GuanAsian School of the Environment, Nanyang Technological University, 639798, Singapore.
Benjamin P HortonSchool of Energy and Environment, City University of Hong Kong, Hong Kong.ORCID https://orcid.org/0000-0001-9245-3768
Benazir BenazirCivil and Environmental Engineering Department, Faculty of Engineering, Universitas Gadjah Mada, Jl. Grafika, Kampus No.2, 55284, Yogyakarta, Indonesia.
Ella MeiliandaTsunami and Disaster Mitigation Research Center, University Syiah Kuala, 23111, Banda Aceh, Indonesia.
Federico M LauroAsian School of the Environment, Nanyang Technological University, 639798, Singapore.ORCID https://orcid.org/0000-0002-8373-1014

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The 2018 Palu-Donggala earthquake in Indonesia generated a devastating tsunami, despite originating from a strike-slip fault, which typically does not produce significant tsunamis. This tsunami was triggered by a combination of subaerial landslides, liquefaction, and submarine landslides. Here, we present the first application of sedimentary environmental DNA to characterize microbial community changes in deposits from a landslide-triggered tsunami. Sediment samples collected 2 months after the event provide a rare snapshot of the near-immediate microbial response to tsunami disturbance. Microbial assemblages derived from 16S rRNA gene sequencing clearly distinguished tsunami deposits from pre-tsunami samples across three sites in Palu Bay, even where conventional sedimentary evidence was inconclusive. The community composition varied among sites, suggesting site-specific environmental filters, which explain the absence of a universal tsunami microbial signature. Tsunami deposits were associated with microbial communities shaped by strong environmental disturbance linked to saline inundation and geochemical change. Microbial communities in the Palu tsunami deposits provide new insight into early microbial responses to extreme coastal flooding events.

Indexed as

coastal managementDNAearthquaketsunami deposits

Identifiers

PMID42441068
PMCPMC13335651

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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.