ArticleEcology and evolution2026
eDNA Metabarcoding Reveals Microbial Community Composition in Tropical Mangrove Forests in Makassar, Indonesia.
Article in Ecology and evolution, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.
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.
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.
Who cites it
3 citing papers in PubMed.
- Environmental DNA: From Promise to Practice.Ecology and evolution · 2026Article
- Antimicrobial potential of bacteria isolated from sediment andFrontiers in microbiology · 2026Article
- eDNA Metabarcoding Reveals Microbial Community Composition in Tropical Mangrove Forests in Makassar, Indonesia.Ecology and evolution · 2026Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
11 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Mangrove ecosystems are critical coastal habitats that support diverse microbial communities essential for nutrient cycling, organic matter decomposition, and ecosystem stability. Despite their ecological importance, microbial diversity in tropical mangroves remains poorly characterized, particularly in Indonesia. This study employed environmental DNA (eDNA) metabarcoding via 18S rRNA markers to assess microbial species diversity in the waters of the Lantebung Mangrove Forest, Makassar, Indonesia. Water samples were collected from two locations and analyzed through high-throughput sequencing and bioinformatic processing via QIIME 2. A total of 103 microbial species were identified across five kingdoms: Protista (48.5%), Chromista (28.0%), Animalia (12.6%), Bacteria (7.8%), and Fungi (2.9%). The dominant taxa included photosynthetic protists and chromists, along with functionally important bacterial and fungal species. Species richness and relative abundance differed among the sampling sites, reflecting environmental gradients such as light availability, salinity, and nutrient flow. Notably, Station P1 (more exposed) presented greater species richness, whereas Station P2 (within the mangrove canopy) presented greater individual abundance. These findings highlight the effectiveness of 18S rRNA-based metabarcoding in capturing microbial diversity and offer valuable baseline data for future ecological monitoring and conservation strategies in tropical mangrove ecosystems.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
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.