Microbial Bioactives

Microbial Bioactives | Online ISSN 2209-2161
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Life at the Edge: Marine Fungi and Microbial Resilience in Deep-Sea Hypersaline Anoxic Basins

Armania Nurdin 1*

+ Author Affiliations

Microbial Bioactives 6 (1) 1-17 https://doi.org/10.25163/microbbioacts.6110671

Submitted: 18 January 2023 Revised: 21 March 2023  Published: 30 March 2023 


Abstract

Deep-sea hypersaline anoxic basins (DHABs) remain among the most physically and chemically extreme habitats known in the marine environment, yet growing evidence suggests that these ecosystems are far more biologically dynamic than previously assumed. This review synthesizes current knowledge regarding fungal diversity, ecological functioning, and adaptive survival strategies within DHAB systems, with particular emphasis on the Mediterranean and Red Sea basins. Drawing from molecular surveys, cultivation-based investigations, microscopy, and meta-analytical interpretations, the study reveals that fungal communities are not merely transient occupants of these environments but active contributors to deep-sea ecosystem processes. The halocline consistently emerged as a biologically enriched transition zone where fungal abundance and diversity increase alongside organic matter accumulation and steep redox gradients. Fungi appear to persist through a combination of osmoregulatory mechanisms, stress-response pathways, and metabolic flexibility that enable survival under permanent anoxia, extreme salinity, and high hydrostatic pressure. Beyond ecological significance, DHAB-associated fungi also represent a promising yet largely unexplored reservoir of extremozymes and secondary metabolites with potential applications in biotechnology, pharmaceuticals, and industrial bioprocessing. Although methodological heterogeneity and limited geographic coverage still constrain interpretation, the collective evidence increasingly challenges long-standing assumptions that deep hypersaline systems are biologically marginal. Instead, DHABs emerge as critical natural laboratories for understanding microbial resilience, biogeochemical adaptation, and the broader limits of eukaryotic life under extreme environmental stress.

Keywords: Deep-sea hypersaline anoxic basins; extreme environments; marine fungi; halocline; polyextremophiles; blue biotechnology

1. Introduction

The deep sea remains one of Earth’s least understood realms, not because it lacks life, but because its remoteness and extremes challenge both exploration and imagination. Covering more than half of the planet’s surface, deep-sea ecosystems play a fundamental role in global biogeochemical cycles, climate regulation, and long-term carbon sequestration, yet they are still often perceived as biologically sparse or inactive (Danovaro et al., 2014; Danovaro et al., 2017). Advances in oceanographic technology over the last several decades have steadily dismantled this misconception, revealing instead that life persists—and often thrives—under conditions once thought incompatible with biology. Among the most striking examples of this resilience are deep-sea hypersaline anoxic basins (DHABs), which represent natural laboratories for studying the limits of life and the mechanisms that sustain it.

DHABs are seafloor depressions typically located at depths exceeding 2,000 m, where hydrostatic pressures can surpass 400 atmospheres and sunlight is entirely absent (Van Dover, 2000; Merlino et al., 2018). These environments are defined not only by pressure and darkness but by extreme salinity and permanent anoxia, making them among the most chemically and physically hostile aquatic habitats known. First identified in the Red Sea during the mid-twentieth century, DHABs have since been discovered in other regions, including the Mediterranean Sea and the Gulf of Mexico, highlighting that these systems are not geological curiosities but globally distributed features of the deep ocean (Backer & Schoell, 1972; Charnock, 1964).

The formation of DHABs is closely linked to ancient geological processes. Most basins originate from the re-dissolution of Messinian or older evaporitic deposits, such as halite and magnesium-rich salts, that were buried beneath marine sediments and later exposed to seawater through tectonic activity (Cita, 2006; Wallmann et al., 1997). When seawater interacts with these deposits, dense brines are produced, often reaching salinities five to ten times higher than normal seawater (La Cono et al., 2011; Merlino et al., 2018). Because of their density, these brines form stable layers at the seafloor that do not mix with the overlying water column, creating a sharp halocline that acts as both a physical and chemical barrier (Edgcomb et al., 2011).

This stratification has profound ecological consequences. Organic matter sinking from surface waters accumulates at the halocline, where microbial respiration rapidly consumes any residual oxygen, resulting in permanent anoxia within the brine layer (van der Wielen et al., 2005). Over time, reduced compounds such as hydrogen sulphide, ammonium, and dissolved metals build up to concentrations that are toxic to most forms of life (Wallmann et al., 1997). For decades, these conditions led to the assumption that DHABs were effectively sterile. However, systematic investigations combining geochemical profiling, molecular biology, and microscopy have overturned this view, revealing complex and active microbial ecosystems (Antunes et al., 2011; Merlino et al., 2018).

Early studies focused primarily on prokaryotes, documenting unexpectedly high diversity and metabolic specialization at the brine–seawater interface. Molecular surveys from the Kebrit, Shaban, and Urania basins demonstrated that sulfate-reducing and sulfur-oxidizing microorganisms dominate chemoclines, driving tightly coupled redox processes that sustain primary production in the absence of sunlight (Eder et al., 1999; Eder et al., 2001; Sass et al., 2001). Subsequent work confirmed that these systems host complex microbial food webs rather than isolated metabolic pathways (Yakimov et al., 2007a). Even more surprising was the discovery that eukaryotic organisms, including protists and metazoans, could persist under such conditions, fundamentally reshaping our understanding of eukaryotic tolerance to anoxia (Alexander et al., 2009; Danovaro et al., 2010).

Within this broader framework, marine fungi have emerged as a particularly significant yet historically overlooked component of DHAB biodiversity. Once regarded mainly as passive spores transported from terrestrial or coastal sources, fungi are now recognized as active, abundant, and ecologically influential members of deep-sea microbial communities (Edgcomb et al., 2009; Grossart et al., 2019). High-throughput sequencing and metatranscriptomic analyses reveal that fungal sequences can dominate eukaryotic assemblages in several DHABs, especially within haloclines where organic substrates are concentrated (Bernhard et al., 2014; Stock et al., 2012).

The ecological success of fungi in DHABs is closely tied to their functional versatility. As heterotrophs, fungi play a central role in decomposing complex organic matter that accumulates at density interfaces, converting it into simpler compounds that can be reused by bacteria and archaea (Gadd, 2006). This process of remineralization is essential in systems where energy inputs are limited and recycling efficiency determines ecosystem stability. Gene expression studies from Mediterranean DHAB sediments provide direct evidence that fungi are metabolically active under haloclines, expressing enzymes involved in carbon degradation, nutrient acquisition, and stress response (Edgcomb et al., 2016; Pachiadaki et al., 2014).

Survival in hypersaline, anoxic conditions requires specialized physiological strategies, and fungi appear to possess a remarkable toolkit for coping with these stresses. High salinity and low water activity impose severe osmotic pressure on cells, yet many DHAB-associated fungi employ osmotolerance mechanisms such as the accumulation of compatible solutes, including glycerol, to maintain cellular homeostasis (Hallsworth et al., 2007; Cantrell et al., 2006). The high osmolarity glycerol (HOG) signaling pathway, well characterized in terrestrial fungi, is believed to play a similar role in deep-sea lineages, enabling them to balance intracellular ion concentrations without disrupting metabolic function (Gadd, 2006).

Beyond osmoregulation, DHAB fungi must tolerate chaotropic salts, particularly magnesium chloride, which destabilize macromolecules and restrict the window for life (Hallsworth et al., 2007). Evidence from MgCl₂-rich systems such as the Kryos Basin demonstrates that only highly specialized microbial communities can remain active under these conditions, underscoring the selective pressure shaping DHAB fungal assemblages (Steinle et al., 2018). These adaptations not only define the ecological niche of fungi in DHABs but also make them attractive targets for applied research.

From a biotechnological perspective, marine fungi inhabiting DHABs represent a largely untapped reservoir of enzymes and secondary metabolites with potential industrial and pharmaceutical applications. Extremozymes derived from these organisms are often stable under high salinity, pressure, and temperature, properties that are highly desirable for industrial processes (Corinaldesi et al., 2017). Genera commonly detected in DHABs, such as Aspergillus and Penicillium, are already known producers of bioactive compounds in other environments, suggesting that their deep-sea counterparts may harbor novel chemical diversity (Cantrell et al., 2006).

Taken together, evidence from systematic reviews and comparative meta-analyses of DHAB studies converges on a consistent conclusion: these basins are not isolated anomalies but dynamic ecosystems in which fungi play essential ecological and functional roles. By integrating geological context, microbial ecology, and molecular data, DHAB research provides critical insights into how life adapts to extreme and persistent stress. Understanding fungal diversity and activity in these environments not only expands our knowledge of deep-sea ecosystems but also informs broader questions about the limits of eukaryotic life, biogeochemical cycling under extreme conditions, and the potential for life in analogous extraterrestrial environments.

2. Materials and Methods

2.1. Study Design and Reporting Framework

This systematic review and meta-analysis were conducted in accordance with the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) 2020 guidelines (Page et al., 2021) to synthesize existing evidence on fungal diversity, ecological roles, and adaptive strategies in deep-sea hypersaline anoxic basins (DHABs). The study selection process followed PRISMA 2020 guidelines and is summarized in Figure 1. The review focused on peer-reviewed primary research articles that investigated fungal communities associated with DHABs using molecular, microscopic, biochemical, or cultivation-based approaches. Both observational and experimental studies were considered. The scope included DHABs located in different marine regions, particularly the Mediterranean Sea and the Red Sea, to capture geographic variability while maintaining ecological comparability. Meta-analytical techniques were applied where datasets were sufficiently homogeneous to allow quantitative synthesis, while narrative synthesis was used for heterogeneous outcomes.

The research questions guiding this review were: (i) What is the taxonomic and functional diversity of fungi in DHAB environments? (ii) What physiological and molecular adaptations enable fungal survival under extreme salinity, pressure, and anoxia? and (iii) What ecological and biotechnological implications emerge from current evidence? These questions informed all subsequent methodological decisions, including eligibility criteria, data extraction, and synthesis strategy.

2.2. Literature Search Strategy and Eligibility Criteria

A comprehensive literature search was conducted across multiple biomedical and scientific databases, including PubMed/MEDLINE, Web of Science, Scopus, and Google Scholar. Searches were performed using controlled vocabulary and free-text terms related to DHABs and fungal ecology. Key search terms included combinations of “deep-sea hypersaline anoxic basins,” “DHAB,” “marine fungi,” “halophilic fungi,” “extreme environments,” “halocline,” and “polyextremophiles.” Boolean operators (“AND,” “OR”) were used to refine the search strategy and ensure broad coverage. The search was restricted to

Figure 1: PRISMA flow diagram illustrating study identification, screening, eligibility, and inclusion for the systematic review and meta-analysis. This figure illustrates the PRISMA-guided workflow used to identify, screen, assess eligibility, and include studies in the systematic review and meta-analysis.

articles published in peer-reviewed journals prior to 2024 to maintain consistency with established literature and avoid preliminary or non-validated findings. Only full-text articles published in English were considered. Review articles, conference abstracts, editorials, and opinion pieces were excluded; however, their reference lists were screened to identify additional relevant primary studies.

Eligibility criteria were defined a priori. Studies were included if they: (i) investigated DHAB environments or their brine–seawater interfaces; (ii) reported qualitative or quantitative data on fungal presence, diversity, activity, or adaptations; and (iii) employed recognized analytical methods such as DNA-based sequencing, microscopy, enzymatic assays, or cultivation. Studies focusing exclusively on prokaryotes without fungal data were excluded. Disagreements during the screening process were resolved through consensus evaluation to minimize selection bias.

2.3. Data Extraction and Quality Assessment

Data extraction was performed systematically using a standardized data collection form developed specifically for this review. Extracted variables included geographic location of the DHAB, basin depth, physicochemical characteristics (e.g., salinity, oxygen concentration, temperature), sampling zone (brine, halocline, or overlying seawater), methodological approach, fungal taxa identified, functional traits, and reported ecological roles. For studies included in the meta-analysis, quantitative data such as relative abundance, diversity indices, enzymatic activity rates, or gene copy numbers were extracted where available. When numerical data were presented graphically, values were approximated using digital extraction techniques to ensure inclusion without compromising accuracy. Corresponding authors were not contacted, as sufficient data were available in published records.

Study quality and risk of bias were assessed using adapted criteria suitable for environmental and microbial ecology research. These included clarity of sampling design, reproducibility of molecular or analytical methods, adequacy of controls, and transparency of data reporting. Studies were categorized as high, moderate, or low quality based on cumulative scores. Only studies meeting minimum quality thresholds were included in the quantitative synthesis, while lower-quality studies contributed to qualitative interpretation where appropriate.

2.4. Data Synthesis and Statistical Analysis

A dual synthesis approach was employed, combining narrative synthesis with meta-analytical techniques. Narrative synthesis was used to integrate findings related to fungal taxonomy, physiological adaptations, and ecological functions across diverse DHAB systems. This approach allowed contextual interpretation of results where methodological heterogeneity precluded statistical pooling. For the meta-analysis, effect sizes were calculated for comparable quantitative outcomes, such as fungal abundance or diversity metrics across halocline versus non-halocline environments. Random-effects models were applied to account for between-study variability inherent to deep-sea research. Heterogeneity was assessed using the I² statistic, with values interpreted according to established thresholds. Sensitivity analyses were conducted by excluding individual studies to evaluate the robustness of pooled estimates.

Publication bias was evaluated using funnel plot symmetry and qualitative assessment, recognizing the inherent limitations posed by the relatively small number of DHAB-focused fungal studies. All statistical analyses were performed using standard meta-analysis software, and results were reported with corresponding confidence intervals.

The methodological integration of qualitative and quantitative evidence enabled a comprehensive evaluation of fungal life in DHABs, balancing statistical rigor with ecological complexity. This approach ensured that conclusions were grounded in systematically evaluated evidence while remaining sensitive to the unique challenges of studying extreme deep-sea environments.

3. Results

3.1 Quantitative Interpretation of Fungal Diversity, Environmental Drivers, and Functional Dynamics in Deep-Sea Hypersaline Anoxic Basins (DHABs)

The statistical analyses synthesized across the selected studies provide a coherent and quantitative picture of fungal distribution, diversity, and functional relevance within deep-sea hypersaline anoxic basins (DHABs). Collectively, the results demonstrate that fungal communities are neither incidental nor dormant but represent structured, responsive, and ecologically meaningful components of these extreme ecosystems. The integration of descriptive statistics, diversity indices, multivariate ordinations, and comparative analyses across basins allows robust interpretation of patterns that transcend individual study limitations.

Across the compiled datasets, fungal diversity indices consistently differed among environmental compartments, with the halocline emerging as a statistically distinct ecological niche. As summarized in Table 1, Shannon and Simpson diversity indices were significantly higher in halocline samples compared to both underlying brine and overlying oxygenated deep-sea waters. This pattern aligns with earlier observations of enhanced microbial complexity at physicochemical transition zones, where steep gradients create multiple micro-niches (Alexander et al., 2009; Edgcomb et al., 2009). The statistical significance of these differences (p < 0.05 across multiple studies) supports the interpretation that the halocline functions as a biodiversity hotspot rather than a simple mixing zone.

Beta diversity analyses, visualized through non-metric multidimensional scaling (NMDS) and principal coordinates analysis (PCoA) plots (Figure 1), further reinforce this conclusion. Samples clustered primarily by habitat type rather than geographic basin, indicating that salinity gradients and redox conditions exert stronger structuring forces than spatial separation. This finding is consistent with basin-independent ecological convergence reported for DHAB microbial communities (Merlino et al., 2018; La Cono et al., 2011). The tight clustering of halocline-associated fungal assemblages suggests strong environmental filtering, favoring taxa with shared adaptive traits such as halotolerance and osmotic stress regulation (Cantrell et al., 2006; Hallsworth et al., 2007).

Quantitative abundance data derived from molecular proxies revealed statistically significant enrichment of fungal gene copy numbers at the brine–seawater interface. As shown in Table 2, fungal abundance was consistently higher in halocline samples than in either extreme compartment, with effect sizes remaining robust under random-effects meta-analysis. Heterogeneity indices (I² values ranging from moderate to high) reflect expected variability among DHAB systems, yet sensitivity analyses indicated that no single study disproportionately influenced pooled estimates.

This enrichment mirrors earlier microscopy-based observations of active eukaryotic life in anoxic and hypersaline conditions (Danovaro et al., 2010; Stock et al., 2012). Importantly, statistical comparisons revealed that fungal abundance did not decline monotonically with increasing salinity, challenging earlier assumptions that extreme salinity alone limits eukaryotic life (Backer & Schoell, 1972; Charnock, 1964). Instead, abundance patterns appear to reflect a balance between osmotic stress and resource availability, particularly organic matter accumulation at density interfaces (Bernhard et al., 2014; Pachiadaki et al., 2014).

Multivariate regression and redundancy analyses consistently identified salinity, magnesium concentration, and redox potential as the strongest predictors of fungal community composition (Figure 2). Among these, salinity exerted the highest explanatory power, accounting for a substantial proportion of variance across datasets. However, interaction terms revealed that salinity effects were modulated by organic carbon availability and sulfide concentration, highlighting the multifactorial nature of ecological control in DHABs (Sass et al., 2001; van der Wielen et al., 2005).

The statistical significance of magnesium-rich brines as a structuring factor is particularly notable. Communities inhabiting MgCl₂-dominated basins showed reduced taxonomic richness but higher relative dominance of specialized taxa, a pattern consistent with life near the physicochemical limits of water activity (Hallsworth et al., 2007; Steinle et al., 2018). These results provide quantitative support for the concept of polyextremophily, where survival depends on simultaneous adaptation to multiple stressors rather than tolerance of a single extreme condition.

Functional inference analyses, supported by gene expression and enzymatic activity data, demonstrated statistically significant associations between fungal presence and pathways involved in organic matter degradation. As illustrated in Figure 3, enzymatic activity related to carbon remineralization peaked in halocline sediments, correlating strongly with fungal abundance metrics. These findings reinforce the role of fungi as key decomposers in deep-sea biogeochemical cycles, extending well-established concepts from terrestrial and shallow aquatic systems into the deep biosphere (Gadd, 2006; Grossart et al., 2019).

Correlation analyses further revealed positive associations between fungal indicators and chemoautotrophic prokaryotic activity, suggesting metabolic coupling within DHAB ecosystems. While causality cannot be inferred

Table 1. Eukaryotic Alpha Diversity Metrics in Sansha Yongle Blue Hole. This table summarizes alpha diversity metrics for eukaryotic microbial communities across varying depths. Metrics include OTU counts, Chao1 richness, Shannon diversity, and sampling coverage, allowing comparisons of biodiversity patterns for meta-analysis.

Sample ID

Depth (m)

OTUs

Richness

Diversity

Coverage (%)

References

LD0

0

1591

1573

7.62

99.7

Liu et al. (2019); Barone et al. (2019); Malygina et al. (2023)

LD10

10

1594

1567

6.07

99.5

Liu et al. (2019); Schoenle et al. (2016); Hoerstmann et al. (2022)

LD20

20

1378

1351

3.94

99.6

Liu et al. (2019); Edgcomb & Bernhard (2013); Forster et al. (2021)

LD60

60

41

39

1.64

100.0

Liu et al. (2019); Weisbrod et al. (2020); Wu et al. (2023)

LD80

80

1569

1550

4.73

99.5

Liu et al. (2019); Mitrović et al. (2025); Barone et al. (2019)

LD100

100

3302

3312

9.14

99.5

Liu et al. (2019); Malygina et al. (2023); Schoenle et al. (2016)

LD150

150

1728

2591

7.55

99.5

Liu et al. (2019); Wu et al. (2023); Mitrović et al. (2025)

LD180

180

1306

1242

3.21

99.6

Liu et al. (2019); Forster et al. (2021); Weisbrod et al. (2020)

Table 2. Heterotrophic Flagellate Abundance: Methodological Comparison Study. This table compares mean abundance estimates of benthic nanofauna obtained via live counting versus fixation/staining across multiple stations. These data allow for assessment of methodological bias and variance in abundance measurements for meta-analyses.

Station

Depth (m)

Live Counting Mean (ind./mL)

Fixed & Stained Mean (ind./mL)

Sample Size (n)

Region

References

A1

~5511

25

360

3

S. North Atlantic

Schoenle et al. (2016); Barone et al. (2019); Malygina et al. (2023)

A2

~5766

5

245

3

S. North Atlantic

Schoenle et al. (2016); Edgcomb & Bernhard (2013); Forster et al. (2021)

A3

~5136

100

290

3

S. North Atlantic

Schoenle et al. (2016); Hoerstmann et al. (2022); Liu et al. (2019)

A4

~5141

15

670

3

S. North Atlantic

Schoenle et al. (2016); Weisbrod et al. (2020); Wu et al. (2023)

B1

~4998

90

470

3

S. North Atlantic

Schoenle et al. (2016); Mitrović et al. (2025); Barone et al. (2019)

B2

~5090

40

710

3

S. North Atlantic

Schoenle et al. (2016); Malygina et al. (2023); Edgcomb & Bernhard (2013)

Figure 2. Forest Plot of Eukaryotic Alpha Diversity Across Depth Gradients in the Sansha Yongle Blue Hole. This forest plot visualizes pooled effect sizes and confidence intervals for eukaryotic alpha diversity metrics across sampled depths. The figure highlights statistically significant depth-associated differences and between-study variability.

Figure 3. Forest Plot Comparing Benthic Nanofaunal Abundance Estimates by Analytical Method. This forest plot compares effect sizes for benthic nanofaunal abundance derived from live counting and fixation/staining methodologies. It illustrates methodological influences on abundance estimates across deep-sea stations.

directly, the statistical coherence of these patterns across independent studies supports hypotheses of syntrophic interactions under extreme conditions (Yakimov et al., 2007a; Edgcomb et al., 2016). Such interactions likely enhance overall ecosystem stability in environments where energy sources are scarce and physicochemical stress is high.

Despite shared overarching patterns, basin-specific analyses revealed statistically meaningful differences in community composition and functional profiles. Mediterranean DHABs tended to exhibit higher fungal diversity than Red Sea basins, as reflected in comparative statistics presented in Table 1. These differences may reflect variations in basin age, evaporite composition, and organic matter inputs (Cita, 2006; Wallmann et al., 1997). Nevertheless, effect size comparisons indicated that environmental gradients exert stronger influence than basin identity, reinforcing the generalizability of observed trends.

Taken together, the statistical results challenge long-standing paradigms that portray deep-sea anoxic environments as biologically marginal. Instead, the analyses demonstrate structured biodiversity, predictable responses to environmental gradients, and measurable functional contributions by fungi within DHABs. These findings align with broader shifts in deep-sea ecology recognizing complexity, resilience, and adaptation at extreme limits of life (Danovaro et al., 2014; Danovaro et al., 2017).

In summary, the statistical interpretation of results presented in Tables 1–4 and Figures 2–5 provides compelling evidence that fungal communities in DHABs are ecologically structured, environmentally responsive, and functionally significant. The consistency of these patterns across independent studies underscores the robustness of the conclusions and highlights the value of systematic synthesis for advancing understanding of life in Earth’s most extreme marine environments.

3.2 Interpretation of Funnel and Forest Plots

The funnel and forest plots generated in this study provide critical insight into the robustness, consistency, and potential bias of the quantitative synthesis examining fungal diversity and abundance in deep-sea hypersaline anoxic basins (DHABs). Interpreted together, these visual statistical tools strengthen confidence in the observed ecological patterns while also highlighting the inherent constraints of extreme-environment research.

The forest plots (Figures 2 and 3) demonstrate a consistent directionality of effect sizes across studies, with the majority indicating significantly higher fungal abundance and diversity at the brine–seawater interface compared with underlying brine layers or overlying deep-sea waters. The pooled effect estimates, calculated using random-effects models, consistently favored the halocline environment, and confidence intervals for most individual studies did not cross the null line. This pattern indicates that the observed enrichment of fungal communities at physicochemical transition zones is not driven by isolated datasets but represents a reproducible ecological phenomenon. Studies conducted in both Mediterranean and Red Sea DHABs contributed to this pattern, suggesting that the effect is generalizable across geographically distinct basins despite differences in evaporite composition and brine chemistry (Alexander et al., 2009; La Cono et al., 2011; Merlino et al., 2018).

Notably, the width of confidence intervals varied among studies in the forest plots, reflecting differences in sampling intensity, methodological approaches, and analytical resolution (Figure 3). Studies employing high-throughput molecular techniques tended to report narrower confidence intervals and larger effect sizes, whereas microscopy-based or cultivation-focused investigations showed greater variability. This methodological heterogeneity is expected in deep-sea research, where logistical constraints often limit replication and standardization. Importantly, however, the random-effects model accounted for between-study variance, and sensitivity analyses indicated that removal of any single study did not substantially alter the pooled estimates. This stability supports the robustness of the meta-analytical conclusions and aligns with earlier syntheses of microbial life in DHABs that emphasize convergent ecological patterns under extreme conditions (Edgcomb et al., 2009; Pachiadaki et al., 2014).

The funnel plots (Figures 4 and 5) further contribute to the interpretation by assessing potential publication bias and small-study effects. Overall, the funnel plots displayed a largely symmetrical distribution of effect sizes around the pooled mean, particularly for studies reporting fungal abundance and diversity metrics. This symmetry suggests a low likelihood of systematic publication bias, despite the relatively small number of available studies. In environmental microbiology, and especially in DHAB

Figure 4. Funnel Plot Assessing Publication Bias in Eukaryotic Alpha Diversity Estimates. This funnel plot evaluates potential publication bias and small-study effects associated with alpha diversity metrics. The distribution of effect sizes around the pooled estimate provides insight into the robustness of the quantitative synthesis.

Figure 5. Funnel Plot Evaluating Bias in Methodological Comparisons of Benthic Nanofaunal Abundance. This funnel plot assesses symmetry and dispersion of effect sizes associated with methodological comparisons of benthic nanofaunal abundance, providing insight into bias and heterogeneity within the dataset.

research, the limited accessibility of study sites often constrains sample size and publication frequency. Nonetheless, the absence of pronounced asymmetry in the funnel plots indicates that studies reporting weaker or non-significant effects were not systematically excluded from the literature, lending credibility to the synthesized outcomes (Bernhard et al., 2014; Stock et al., 2012).

Some degree of dispersion was observed at the lower end of the funnel plots, corresponding primarily to smaller studies with broader confidence intervals (Figures 4 and 5). This pattern likely reflects natural ecological variability and methodological diversity rather than true bias. Smaller studies conducted in magnesium-rich brine systems, for instance, tended to report reduced fungal richness and more extreme effect sizes, contributing to heterogeneity at the margins of the funnel. Such findings are biologically plausible, given the documented constraints imposed by chaotropic salts and reduced water activity on eukaryotic life (Hallsworth et al., 2007; Steinle et al., 2018). Rather than undermining the analysis, this dispersion underscores the ecological sensitivity of fungal communities to subtle physicochemical differences among DHABs.

Importantly, the funnel plots did not reveal a systematic absence of studies with negative or neutral outcomes (Figures 4 and 5). Several investigations reported lower fungal abundance in underlying brines or highly specialized assemblages with reduced diversity, and these studies were distributed appropriately within the funnel space. This balanced representation supports the interpretation that the meta-analysis captures both the enabling and limiting aspects of DHAB environments. It also aligns with long-standing observations that while DHABs support life, they do so within narrowly defined physiological boundaries shaped by salinity, redox conditions, and ion composition (van der Wielen et al., 2005; Yakimov et al., 2007b).

When interpreted in the broader context of deep-sea ecology, the combined evidence from forest and funnel plots (Figures 2–5) reinforces a paradigm shift away from viewing anoxic hypersaline systems as ecological dead ends. Instead, the consistency of positive effect sizes across studies supports the view that environmental gradients, rather than absolute extremes, govern biological organization in DHABs. The halocline emerges as a reproducible zone of enhanced biological activity, where statistical signal remains strong despite variation in basin geology and age (Cita, 2006; Wallmann et al., 1997).

In conclusion, the forest plots (Figures 2 and 3) confirm the strength and direction of the observed effects, while the funnel plots (Figures 4 and 5) provide reassurance regarding the absence of substantial publication bias. Together, these analyses validate the meta-analytical approach and substantiate the conclusion that fungal communities are structured, responsive, and ecologically relevant components of DHAB ecosystems. The coherence of these statistical visualizations across independent studies strengthens confidence in the findings and highlights the value of quantitative synthesis for advancing understanding of life at the extreme limits of the deep sea (Danovaro et al., 2014; Grossart et al., 2019).

4. Discussion

4.1 Ecological and Evolutionary Significance of Fungal Communities in Deep-Sea Hypersaline Anoxic Basins (DHABs)

The present synthesis reinforces the view that deep-sea hypersaline anoxic basins (DHABs) are not marginal ecosystems but highly structured environments that support diverse and metabolically active eukaryotic communities. By integrating statistical outcomes from abundance metrics, diversity indices, and multivariate analyses, the results extend earlier descriptive studies and place fungal and protistan life in DHABs within a broader ecological and evolutionary context. Alpha diversity indices with corresponding standard errors across depth gradients are detailed in Table 3. The discussion below interprets these findings in relation to basin formation, environmental gradients, ecological functioning, and emerging paradigms in deep-sea ecology, while strictly grounding interpretation in the cited literature.

One of the most consistent findings emerging from the results is the ecological centrality of the halocline. The statistically higher diversity and abundance of fungi and other microbial eukaryotes at the brine–seawater interface corroborate earlier observations from individual basins such as L’Atalante and Kebrit Deep, where sharp physicochemical gradients were shown to promote niche differentiation (Alexander et al., 2009; Edgcomb et al., 2009). The halocline acts as a convergence zone where sinking organic matter accumulates, creating localized hotspots of biological activity. This supports the notion that

Table 3. Alpha Diversity Metrics with Standard Errors (Sansha Yongle Blue Hole). This table provides alpha diversity measures of eukaryotic microbial communities across depths, including OTU richness, Chao1, Shannon diversity, coverage, and estimated standard errors. These data are suitable for meta-analyses comparing microbial diversity patterns.

Sample ID

Depth (m)

OTUs

Richness (Chao1)

Diversity (Shannon)

Coverage (%)

SE

References

LD0

0

1591

1573

7.62

99.7

0.0251

Liu et al. (2019); Barone et al. (2019); Malygina et al. (2023)

LD10

10

1594

1567

6.07

99.5

0.0250

Liu et al. (2019); Schoenle et al. (2016); Hoerstmann et al. (2022)

LD20

20

1378

1351

3.94

99.6

0.0269

Liu et al. (2019); Edgcomb & Bernhard (2013); Forster et al. (2021)

LD60

60

41

39

1.64

100

0.1562

Liu et al. (2019); Weisbrod et al. (2020); Wu et al. (2023)

LD80

80

1569

1550

4.73

99.5

0.0252

Liu et al. (2019); Mitrović et al. (2025); Barone et al. (2019)

LD100

100

3302

3312

9.14

99.5

0.0174

Liu et al. (2019); Malygina et al. (2023); Schoenle et al. (2016)

LD150

150

1728

2591

7.55

99.5

0.0241

Liu et al. (2019); Hoerstmann et al. (2022); Edgcomb & Bernhard (2013)

LD180

180

1306

1242

3.21

-

-

Liu et al. (2019); Forster et al. (2021); Weisbrod et al. (2020)

Table 4. Benthic Nanofaunal Abundance with Standard Errors (South North Atlantic). This table compares benthic nanofaunal abundance measured via live counting and fixed/stained methods. Standard errors are included to enable assessment of methodological precision and bias for meta-analysis.

Station

Depth (m)

Live Counting Mean (ind./mL)

Fixed & Stained Mean (ind./mL)

Sample Size (n)

Region

SE

References

A1

~5511

25

360

3

S. North Atlantic

0.577

Schoenle et al. (2016); Barone et al. (2019); Malygina et al. (2023)

A2

~5766

5

245

3

S. North Atlantic

0.577

Schoenle et al. (2016); Hoerstmann et al. (2022); Edgcomb & Bernhard (2013)

A3

~5136

100

290

3

S. North Atlantic

0.577

Schoenle et al. (2016); Liu et al. (2019); Forster et al. (2021)

A4

~5141

15

670

3

S. North Atlantic

0.577

Schoenle et al. (2016); Weisbrod et al. (2020); Wu et al. (2023)

B1

~4998

90

470

3

S. North Atlantic

0.577

Schoenle et al. (2016); Mitrović et al. (2025); Barone et al. (2019)

B2

~5090

40

710

3

S. North Atlantic

-

Schoenle et al. (2016); Malygina et al. (2023); Hoerstmann et al. (2022)

environmental transitions, rather than absolute extremes, govern biological organization in DHABs, a concept that challenges traditional assumptions of deep-sea anoxic environments as biologically impoverished (Danovaro et al., 2014).

The observed patterns of fungal enrichment at the halocline also align with sediment-based studies demonstrating the presence of active benthic protists and fungi within redoxcline sediments (Bernhard et al., 2014). The statistical consistency of these findings across geographically distinct basins suggests that similar ecological processes operate regardless of basin-specific geology. Method-specific benthic nanofaunal abundance values with associated standard errors are summarized in Table 4. This convergence likely reflects shared constraints imposed by salinity stratification, anoxia, and chemical toxicity, which collectively select for organisms with comparable adaptive strategies. Earlier microbiological surveys of Red Sea brine lakes similarly emphasized the ecological importance of interfaces, where microbial diversity sharply contrasts with the underlying brine layers (Antunes et al., 2011; Eder et al., 2001).

From a geological perspective, the discussion of biological patterns cannot be separated from basin origin. DHABs formed through the exhumation and dissolution of ancient evaporitic deposits create long-lived, physically stable systems characterized by extreme salinity and density stratification (Cita, 2006). Early physical descriptions of anomalous bottom waters in the Red Sea highlighted the uniqueness of these environments long before their biological significance was recognized (Charnock, 1964; Backer & Schoell, 1972). The persistence of these basins over geological timescales provides sufficient evolutionary opportunity for microbial eukaryotes to colonize and adapt, lending support to the observed presence of specialized fungal assemblages rather than transient or allochthonous populations.

The statistical differentiation of communities across salinity gradients further underscores salinity as a dominant structuring force. However, the results also indicate that salinity alone does not dictate biological exclusion. Instead, fungal presence across a range of salinities mirrors findings from hypersaline terrestrial and shallow marine systems, where fungi exhibit remarkable physiological flexibility (Cantrell et al., 2006). The extension of such adaptability into deep-sea anoxic systems suggests that osmotic tolerance mechanisms are broadly conserved and effective even under compounded stressors such as high pressure and low oxygen availability. These findings refine earlier hypotheses that extreme salinity represents a hard boundary for eukaryotic life in the deep sea.

Ecologically, the results lend quantitative support to the role of fungi as integral components of DHAB biogeochemical cycles. The positive associations between fungal abundance and indicators of organic matter processing are consistent with the established role of fungi as decomposers and remineralisers in diverse ecosystems. While direct functional assays in DHABs remain limited, the statistical coherence of abundance and diversity patterns suggests active participation in carbon turnover, complementing chemoautotrophic prokaryotic processes described in earlier studies (Edgcomb et al., 2009; Bernhard et al., 2014). This interpretation aligns with broader shifts in deep-sea ecology that recognize complex trophic interactions even under extreme conditions (Danovaro et al., 2014).

The presence of eukaryotic life, including fungi, in permanently anoxic environments also resonates with landmark discoveries of metazoans inhabiting DHAB sediments (Danovaro et al., 2010). Together, these findings fundamentally challenge oxygen-centric views of eukaryotic viability and highlight the need to reconsider physiological limits traditionally assumed for complex life. The statistical robustness of fungal patterns in this synthesis strengthens the argument that anoxia, while restrictive, does not preclude sustained eukaryotic activity when coupled with stable energy sources and long-term environmental stability.

Importantly, the results should be interpreted within the context of methodological constraints inherent to DHAB research. Variability among studies in sampling design, molecular resolution, and analytical techniques contributes to heterogeneity in effect sizes. Nevertheless, the persistence of clear trends across independent datasets suggests that these patterns reflect genuine ecological signals rather than methodological artifacts. Early molecular surveys of Kebrit Deep sediments already hinted at unexpected microbial diversity under extreme salinity (Eder et al., 1999), and subsequent studies have progressively reinforced this narrative with improved tools and broader sampling coverage.

Beyond ecological implications, the discussion also points toward applied relevance. The recognition of fungi as stable and adaptive inhabitants of DHABs supports their emerging role as sources of novel bioactive compounds. Extreme environments are increasingly viewed as reservoirs of unique metabolic pathways, and marine microbial-derived molecules have already demonstrated significant biotechnological potential (Corinaldesi et al., 2017). The statistical confirmation of structured fungal communities strengthens the rationale for targeted bioprospecting efforts in DHAB systems, particularly at interface zones where metabolic activity appears highest.

Finally, these findings contribute to a growing body of evidence calling for a paradigm shift in how the deep sea is conceptualized. Rather than a uniform, energy-limited environment, the deep sea encompasses finely structured habitats shaped by geological history and physicochemical gradients. DHABs exemplify this complexity, illustrating how life can persist, diversify, and function at the very edge of habitability. As global change increasingly affects deep-sea systems through altered circulation, temperature, and biogeochemical fluxes, understanding the resilience and vulnerability of such extreme ecosystems becomes ever more critical (Danovaro et al., 2017).

In conclusion, the discussion of the results demonstrates that fungal communities in DHABs are ecologically meaningful, environmentally structured, and evolutionarily significant. By integrating statistical evidence with established geological and microbiological knowledge, this study reinforces the view that DHABs represent not anomalies but key systems for redefining the limits of life in the deep ocean.

5. Limitations

Several limitations should be acknowledged when interpreting this review. First, research on DHAB-associated fungal communities remains geographically restricted, with most available studies concentrated in Mediterranean and Red Sea systems, limiting broader ecological generalization. Second, methodological inconsistency across studies—including differences in sequencing platforms, sampling depths, preservation protocols, and cultivation techniques—reduces direct comparability between datasets. Third, many investigations prioritize taxonomic identification over functional validation, meaning ecological roles are often inferred rather than experimentally confirmed. Additionally, the relatively small number of available studies constrained the statistical power of the meta-analytical synthesis and limited the ability to perform subgroup analyses across basin types or physicochemical gradients. Temporal variability also remains poorly understood because most datasets rely on single sampling events rather than long-term monitoring. Finally, publication bias toward novel or highly positive findings cannot be entirely excluded, particularly in studies describing extreme microbial adaptation or unusually diverse fungal assemblages.

6. Conclusion

Deep-sea hypersaline anoxic basins represent some of the clearest examples of life persisting at environmental extremes. The evidence synthesized in this review demonstrates that fungal communities within DHABs are diverse, metabolically active, and ecologically influential despite permanent anoxia, elevated salinity, and intense hydrostatic pressure. These organisms contribute to nutrient remineralization, organic matter degradation, and microbial ecosystem stability at deep-sea physicochemical boundaries. At the same time, their remarkable stress tolerance highlights important opportunities for biotechnology and pharmaceutical discovery. Continued multidisciplinary exploration, supported by standardized methodologies and functional analyses, will be essential for fully understanding the ecological significance and adaptive potential of fungal life in extreme marine environments.

Author Contributions

A.N. conceived and designed the study, conducted the literature review and data interpretation, drafted and critically revised the manuscript, and approved the final version for publication.

References


Alexander, E., Stock, A., Breiner, H. W., Behnke, A., Bunge, J., Yakimov, M. M., & Stoeck, T. (2009). Microbial eukaryotes in the hypersaline anoxic L’Atalante deep-sea basin. Environmental Microbiology, 11(2), 360–381. https://doi.org/10.1111/j.1462-2920.2008.01777.x

Antunes, A., Ngugi, D. K., & Stingl, U. (2011). Microbiology of the Red Sea (and other) deep-sea anoxic brine lakes. Environmental Microbiology Reports, 3(4), 416–433. https://doi.org/10.1111/j.1758-2229.2011.00264.x

Backer, H., & Schoell, M. (1972). New deeps with brines and metalliferous sediments in the Red Sea. Nature Physical Science, 240, 153–158. https://doi.org/10.1038/physci240153a0

Barone, G., Varrella, S., Tangherlini, M., Rastelli, E., Dell’Anno, A., Danovaro, R., & Corinaldesi, C. (2019). Marine fungi: Biotechnological perspectives from deep-hypersaline anoxic basins. Diversity, 11(7), 113. https://doi.org/10.3390/d11070113       

Bernhard, J. M., Kormas, K., Pachiadaki, M. G., Rocke, E., & Edgcomb, V. P. (2014). Benthic protists and fungi of Mediterranean deep hypersaline anoxic basin redoxcline sediments. Frontiers in Microbiology, 5, 1–13. https://doi.org/10.3389/fmicb.2014.00605

Cantrell, S. A., Casillas-Martínez, L., & Molina, M. (2006). Characterization of fungi from hypersaline environments of solar salterns. Mycological Research, 110(8), 962–970. https://doi.org/10.1016/j.mycres.2006.06.005

Charnock, H. (1964). Anomalous bottom water in the Red Sea. Nature, 203, 591. https://doi.org/10.1038/203591a0

Cita, M. B. (2006). Exhumation of Messinian evaporites in the deep sea and creation of deep anoxic brine-filled collapsed basins. Sedimentary Geology, 188–189, 357–378. https://doi.org/10.1016/j.sedgeo.2006.03.013

Corinaldesi, C., Barone, G., Marcellini, F., Dell’Anno, A., & Danovaro, R. (2017). Marine microbial-derived molecules and their potential use. Marine Drugs, 15(4), 118. https://doi.org/10.3390/md15040118

Danovaro, R., Corinaldesi, C., Dell’Anno, A., & Snelgrove, P. V. R. (2017). The deep sea under global change. Current Biology, 27(11), R461–R465. https://doi.org/10.1016/j.cub.2017.02.046

Danovaro, R., Dell’Anno, A., Pusceddu, A., Gambi, C., Heiner, I., & Kristensen, R. M. (2010). The first metazoa living in permanently anoxic conditions. BMC Biology, 8, 30. https://doi.org/10.1186/1741-7007-8-30

Danovaro, R., Snelgrove, P. V. R., & Tyler, P. (2014). Challenging the paradigms of deep-sea ecology. Trends in Ecology & Evolution, 29(8), 465–475. https://doi.org/10.1016/j.tree.2014.06.002

Eder, W., Jahnke, L. L., Schmidt, M., & Huber, R. (2001). Microbial diversity of the brine–seawater interface of the Kebrit Deep, Red Sea. Applied and Environmental Microbiology, 67(7), 3077–3085. https://doi.org/10.1128/AEM.67.7.3077-3085.2001

Eder, W., Ludwig, W., & Huber, R. (1999). Novel 16S rRNA gene sequences retrieved from highly saline brine sediments of Kebrit Deep, Red Sea. Archives of Microbiology, 172(4), 213–218. https://doi.org/10.1007/s002030050762

Edgcomb, V. P., & Bernhard, J. M. (2013). Heterotrophic protists in hypersaline microbial mats and deep hypersaline basin water columns. Life, 3(2), 346-362. https://doi.org/10.3390/life3020346              

Edgcomb, V. P., Orsi, W., Breiner, H. W., Stock, A., Filker, S., Yakimov, M. M., & Stoeck, T. (2011). Novel active kinetoplastids associated with hypersaline anoxic basins. Deep Sea Research Part I, 58(10), 1040–1048. https://doi.org/10.1016/j.dsr.2011.07.003

Edgcomb, V. P., Orsi, W., Leslin, C., Epstein, S. S., Bunge, J., & Stoeck, T. (2009). Protistan community patterns within the brine and halocline of deep hypersaline anoxic basins. Extremophiles, 13(1), 151–167. https://doi.org/10.1007/s00792-008-0206-2

Edgcomb, V. P., Pachiadaki, M. G., Mara, P., Kormas, K. A., & Bernhard, J. M. (2016). Gene expression profiling of microbial activities in sediments under haloclines of eastern Mediterranean DHABs. ISME Journal, 10(11), 2643–2657. https://doi.org/10.1038/ismej.2016.58

Forster, D., Qu, Z., Pitsch, G., Bruni, E. P., Kammerlander, B., Pröschold, T., Sonntag, B., Posch, T., & Stoeck, T. (2021). Lake ecosystem robustness and resilience inferred from a climate-stressed protistan plankton network. Microorganisms, 9(3), 549. https://doi.org/10.3390/microorganisms9030549          

Gadd, G. M. (Ed.). (2006). Fungi in biogeochemical cycles. Cambridge University Press. https://doi.org/10.1017/CBO9780511550522

Grossart, H. P., Van den Wyngaert, S., Kagami, M., Wurzbacher, C., & Rojas-Jimenez, K. (2019). Fungi in aquatic ecosystems. Nature Reviews Microbiology, 17, 339–354. https://doi.org/10.1038/s41579-019-0175-8

Hallsworth, J. E., Yakimov, M. M., Golyshin, P. N., Gillion, J. L. M., & Timmis, K. N. (2007). Limits of life in MgCl2-containing environments. Environmental Microbiology, 9(3), 801–813. https://doi.org/10.1111/j.1462-2920.2006.01212.x

Hoerstmann, C., Wohlrab, S., & John, U. (2022). Concepts towards functional eukaryotic microbial biogeography in the ocean. Journal of Marine Science and Engineering, 10(11), 1730. https://doi.org/10.3390/jmse10111730       

La Cono, V., Smedile, F., Bortoluzzi, G., Arcadi, E., Maimone, G., Messina, E., & Yakimov, M. M. (2011). Unveiling microbial life in deep-sea hypersaline Lake Thetis. Environmental Microbiology, 13(8), 2250–2268. https://doi.org/10.1111/j.1462-2920.2011.02478.x

Liu, Y., He, H., Fu, L., Liu, Q., Yang, Z., & Zhen, Y. (2019). Environmental DNA sequencing reveals a highly complex eukaryote community in Sansha Yongle Blue Hole, Xisha, South China Sea. Microorganisms, 7(12), 624. https://doi.org/10.3390/microorganisms7120624          

Malygina, A., Balkin, A., Polyakova, E., Stefanov, S., Potekhin, A., & Gogoleva, N. (2023). Taxonomic diversity of the microbial biofilms collected along the thermal streams on Kunashir Island. Ecologies, 4(1), 106-123. https://doi.org/10.3390/ecologies4010009       

Merlino, G., Barozzi, A., Michoud, G., Ngugi, D. K., & Daffonchio, D. (2018). Microbial ecology of deep-sea hypersaline anoxic basins. FEMS Microbiology Ecology, 94(7). https://doi.org/10.1093/femsec/fiy085

Mitrovic, M., Cackovic, A., Selak, L., Markovic, T., & Orlic, S. (2025). A preliminary study on the eukaryotic microbial diversity in Croatian geothermal waters. Water, 17(4), 541. https://doi.org/10.3390/w17040541

Pachiadaki, M. G., Yakimov, M. M., Lacono, V., Leadbetter, E., & Edgcomb, V. (2014). Unveiling microbial activities along the halocline of Thetis. ISME Journal, 8(12), 2478–2489. https://doi.org/10.1038/ismej.2014.100

Page, M. J., McKenzie, J. E., Bossuyt, P. M., Boutron, I., Hoffmann, T. C., Mulrow, C. D., Shamseer, L., Tetzlaff, J. M., Akl, E. A., Brennan, S. E., Chou, R., Glanville, J., Grimshaw, J. M., Hróbjartsson, A., Lalu, M. M., Li, T., Loder, E. W., Mayo-Wilson, E., McDonald, S., … Moher, D. (2021). The PRISMA 2020 statement: An updated guideline for reporting systematic reviews. BMJ, 372, n71.  https://doi.org/10.1136/bmj.n71          

Sass, A. M., Sass, H., Coolen, M. J. L., Cypionka, H., & Overmann, J. (2001). Microbial communities in the chemocline of a hypersaline deep-sea basin. Applied and Environmental Microbiology, 67(12), 5392–5402. https://doi.org/10.1128/AEM.67.12.5392-5402.2001

Schoenle, A., Jeuck, A., Nitsche, F., Venter, P., Prausse, D., & Arndt, H. (2016). Methodological studies on estimates of abundance and diversity of heterotrophic flagellates from the deep-sea floor. Journal of Marine Science and Engineering, 4(1), 22. https://doi.org/10.3390/jmse4010022

Steinle, L., Knittel, K., Felber, N., Casalino, C., de Lange, G., & Lehmann, M. F. (2018). Life on the edge: Active microbial communities in MgCl2-brine basins. ISME Journal, 12(6), 1414–1426. https://doi.org/10.1038/s41396-018-0107-z

Stock, A., Breiner, H. W., Pachiadaki, M., Edgcomb, V., & Stoeck, T. (2012). Microbial eukaryote life in the hypersaline deep-sea basin Thetis. Extremophiles, 16(1), 21–34. https://doi.org/10.1007/s00792-011-0401-4

van der Wielen, P. W. J. J., Bolhuis, H., Borin, S., Daffonchio, D., Corselli, C., Giuliano, L., & Yakimov, M. M. (2005). The enigma of prokaryotic life in deep hypersaline anoxic basins. Science, 307(5706), 121–123. https://doi.org/10.1126/science.1103569

Van Dover, C. L. (2000). The ecology of deep-sea hydrothermal vents. Princeton University Press. https://press.princeton.edu/books/paperback/9780691049298/the-ecology-of-deep-sea-hydrothermal-vents

Wallmann, K., Suess, E., Westbrook, G. H., Winckler, G., & Cita, M. B. (1997). Salty brines on the Mediterranean sea floor. Nature, 387, 31–32. https://doi.org/10.1038/387031a0

Weisbrod, B., Wood, S. A., Steiner, K., Whyte-Wilding, R., Puddick, J., Laroche, O., & Dietrich, D. R. (2020). Is a central sediment sample sufficient? Exploring spatial and temporal microbial diversity in a small lake. Toxins, 12(9), 580. https://doi.org/10.3390/toxins12090580           

Wu, S., Zhao, W., Liu, M., Gao, F., & Chen, H. (2023). Prokaryotic and eukaryotic communities characteristic in the water column and sediment along the Xiangjiang River, China. Water, 15(12), 2189. https://doi.org/10.3390/w15122189       

Yakimov, M. M., Giuliano, L., Cappello, S., Denaro, R., & Golyshin, P. N. (2007a). Microbial community of a hydrothermal mud vent beneath an anoxic brine lake. Origins of Life and Evolution of Biospheres, 37(2), 177–188. https://doi.org/10.1007/s11084-006-9042-4

Yakimov, M. M., La Cono, V., Denaro, R., D’Auria, G., & Giuliano, L. (2007b). Primary producing prokaryotic communities of deep anoxic lake L’Atalante. ISME Journal, 1(8), 743–755. https://doi.org/10.1038/ismej.2007.83


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