Evidence map›Paper›PMID 40361225›Full record

ArticleEnvironmental microbiome2025

Spatial scale modulates stochastic and deterministic influence on biogeography of photosynthetic biofilms in Southeast Asian hot springs.

Christaline George, Chananwat Kortheerakul, Nitthiya Khunthong, Chitrabhanu Sharma, Danli Luo, Kok-Gan Chan, Maurycy Daroch, Kevin D Hyde, Patrick K H Lee, Kian Mau Goh and 2 more

Abstract read
In one paragraph

Article in Environmental microbiome, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. Article
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.

Christaline GeorgeDepartment of Biological Sciences, National University of Singapore, Singapore, 117557, Singapore.
Chananwat KortheerakulDepartment of Microbiology, Faculty of Science, Chulalongkorn University, Bangkok, 10330, Thailand.
Nitthiya KhunthongDepartment of Microbiology, Faculty of Science, Chulalongkorn University, Bangkok, 10330, Thailand.
Chitrabhanu SharmaCentre of Excellence in Fungal Research & School of Science, Mae Fah Luang University, Chiang Rai, 57100, Thailand.
Danli LuoSchool of Energy and Environment & State Key Laboratory of Marine Pollution, City University of Hong Kong, Kowloon, Hong Kong SAR, China.
Kok-Gan ChanInstitute of Biological Sciences, University of Malaya, 50603, Kuala Lumpur, Malaysia.
Maurycy DarochSchool of Environment and Energy, Peking University Shenzhen Graduate School, Shenzhen, 518055, China.
Kevin D HydeCentre of Excellence in Fungal Research & School of Science, Mae Fah Luang University, Chiang Rai, 57100, Thailand.
Patrick K H LeeSchool of Energy and Environment & State Key Laboratory of Marine Pollution, City University of Hong Kong, Kowloon, Hong Kong SAR, China.
Kian Mau GohDepartment of Biosciences, Universiti Teknologi Malaysia, 81310, Bahru, Johor, Malaysia. gohkianmau@utm.my.
Rungaroon Waditee-SirisatthaDepartment of Microbiology, Faculty of Science, Chulalongkorn University, Bangkok, 10330, Thailand. rungaroon.w@chula.ac.th.
Stephen B PointingDepartment of Biological Sciences, National University of Singapore, Singapore, 117557, Singapore. stephen.pointing@nus.edu.sg.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Hot springs, with their well-characterized major abiotic variables and island-like habitats, are ideal systems for studying microbial biogeography. Photosynthetic biofilms are a major biological feature of hot springs but despite this large-scale studies are scarce, leaving critical questions about the drivers of spatial turnover unanswered. Here, we analysed 395 photosynthetic biofilms from neutral-alkaline hot springs (39-66 °C, pH 6.4-9.0) across a 2100 km latitudinal gradient in Southeast Asia. The Cyanobacteria-dominated communities were categorized into six biogeographic regions, each characterized by a distinct core microbiome and biotic interactions. We observed a significant decline in the explanatory power of major abiotic variables with increasing spatial scale, from 62.6% locally, 55% regionally, to 26.8% for the inter-regional meta-community. Statistical null models revealed that deterministic environmental filtering predominated at local and regional scales, whereas stochastic ecological drift was more influential at the inter-regional scale. These findings enhance our understanding of the differential contribution of ecological drivers and highlight the importance of spatial scale in shaping biogeographic distributions for microorganisms.

Indexed as

BiogeographyCyanobacteriaPhotosynthetic biofilmsStochasticityThermophiles

Identifiers

PMID40361225
PMCPMC12070648

What OpenQuestion holds

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LicenceCC BY-NC-ND
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Registered trials

None linked

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.