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. 2025 Jun 3;20(6):e0325200.
doi: 10.1371/journal.pone.0325200. eCollection 2025.

Microbial diversity of coastal microbial mats formations in karstic habitats from the Yucatan Peninsula, Mexico

Affiliations

Microbial diversity of coastal microbial mats formations in karstic habitats from the Yucatan Peninsula, Mexico

Santiago Cadena et al. PLoS One. .

Abstract

In this study, we report for the first time an exploration of the physicochemical characteristics and the prokaryotic diversity of three different types of microbial mats from karstic habitats located in Sisal, Progreso and Ría Lagartos, in the Yucatan Peninsula, Mexico. Our results showed that lift-off mats were found in the lower salinity (2.2%) area (Sisal), while flat and pustular mats were detected in hypersaline (6-9%) sites (Progreso and Ría Lagartos). Notably, some of these microbial mat structures were in close proximity to mangrove forest ecosystems with both degraded and restored regimes. XRD analysis revealed different mineral compositions of the mats; however, aragonite, calcite, and halite were commonly found in all samples studied. High-throughput sequencing of the 16S rRNA gene identified differences in microbial communities across the different mat types, and statistical analyses revealed that salinity, redox potential, and temperature were significant factors in explaining the variance of the prokaryotic assemblages. Microbial groups identified in this study include those known to be important in the biogeochemical cycling of key elements, such as carbon, nitrogen, and sulfur. Interestingly, the community composition of flat and pustular mats from Progreso was similar, with Bacteroidia, Anaerolineae, and Phycisphaerae being the most abundant microbial groups in flat mats; and Bacteroidia, Anaerolineae, and Alphaproteobacteria dominating pustular mats. By contrast, flat mats from Ría Lagartos were dominated by Halobacteria, Cyanobacteria and Bacteroidota, while Bacteroidia, Gammaproteobacteria and Cyanobacteria dominated lift-off mats from Sisal. This work contributes to understanding the distribution, physicochemical characteristics and microbial diversity of coastal microbial mats, providing valuable new insights into microbial mats that develop in karstic ecosystems. This information is relevant to ongoing and future efforts to manage and preserve coastal ecosystems in the Yucatan Peninsula.

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Conflict of interest statement

The authors have declared that no competing interests exist.

Figures

Fig 1
Fig 1. Sampling sites of microbial mats from the Yucatan Peninsula.
Map showing sampling sites (A). Source: INEGI, Digital Topographic Map, 2024, México (https://gaia.inegi.org.mx/mdm6). The original maps were modified to show the study sites. Map modifications comply with terms of use required by INEGI for free distribution (https://www.inegi.org.mx/contenidos/inegi/doc/terminos_info.pdf). Different types of coastal microbial mats were documented: Lift-off mats from Sisal (B), Pustular (C) and flat (D) microbial mats from Progreso, and flat mats from Ría Lagartos (E).
Fig 2
Fig 2. X.ray diffraction patterns of microbial mat samples collected from different locations.
Lift-off mats from Sisal (A); flat (B) and pustular (C) mats from Progreso and flat mats from Ría Lagartos (D).
Fig 3
Fig 3. Alpha and beta diversity of microbial mats samples.
Observed ASVs, Shannon and Simpson indexes (A). Localities that are significantly different are denoted with different letters (a, b or c) (one-way ANOVA, Tukey’s test, p < 0.001). PCoA calculated on the unweighted (B) and weighted (C) UniFrac metrics, based on 16S rRNA gene amplicon sequences.
Fig 4
Fig 4. Relative abundance of taxonomic groups of microbes observed.
Stacked bars at phylum (A) and class (B) level from studied microbial mats. Clades represented <1% were grouped in “Others”.
Fig 5
Fig 5. LefSe analysis based on retrieved 16S rRNA sequences from microbial mat samples.
The top 10 organisms with the highest LDA scores are shown, indicating their potential as biomarkers for each mat type.
Fig 6
Fig 6. Predicted pathways of microbial communities.
LefSe analysis performed on the functional prediction of microbial communities from microbial mat samples using PICRUSt2.

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