The Microfungal Communities in Deep-Sea Sediments from the Equatorial Atlantic

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Microfungi of deep-sea sediments, and especially those several meters below the water–sediment interface, are poorly studied. In this work, for the first time, microfungal communities isolated by cultivation from deep-sea sediments of the eastern part of the Equatorial Atlantic (the Romanche and Chain Fracture Zones) were investigated. Fungi were isolated from sediments sampled at each of 12 stations from horizons 1.0–4.7 m below the sediment–water interface. To study microscopic fungi, one sediment horizon was isolated from each core. The fungal abundances were within the range of 0.0–3300.0 CFU g-1 sediment dry weight. A total of 19 fungal taxa from the phyla Ascomycota (18) and Basidiomycota (1) were identified, and Mycelia sterilia 1 strain was also isolated. Seven fungal species were encountered only once. In this case, the maximum similarity of species composition, in terms of the Bray – Curtis coefficient, was 57.14% (horizons 1.0 and 3.6 m, four common species). A comparison of the taxonomic structures of fungal communities from the study area was made with those from sediments of the Indian and Pacific Oceans and other areas of the Atlantic. The fungal communities from sediments in the study area were compared with those from the Indian and Pacific Oceans and other areas of the Atlantic. From the literature data and present study results, a list of fungal species with 180 names was compiled. The fungi belonged to 97 genera, 57 families, 32 orders and 13 classes of the phyla Ascomycota, Basidiomycota, and Mucoromycota. The diversity of fungal communities was assessed using indicators of taxonomic richness (number of taxa from different ranks), proportions (genera/families, species/families, species/genera), Average Taxonomic Distinctness index (AvTD, Δ+) and Variation in Taxonomic Distinctness index (VarTD, Λ+). Four and twelve fungal classes were identified in sediments in the Eastern Equatorial Atlantic and the Indian Ocean, respectively. The species/genera proportions in the communities varied from 1.33 (Indian Ocean) to 3.8 (other areas of the Atlantic Ocean). For the fungal communities of the Eastern Equatorial Atlantic, the AvTD index value was minimal (Δ+ = 50.19), the VarTD index was maximal (Λ+ = 945.38), and they were beyond the 95% confidence interval. This was due to the small number of the fungal classes and vertical and horizontal unevenness of species distribution along taxonomic branches, which was manifested in the dominance of species of the family Aspergillaceae (78.9% of the species in the class Saccharomycetes and Eurotiomycetes), only two species belonging to the classes Sordariomycetes and one species belonging to the class Microbotryomycetes (phylum Basidiomycota). Consequently, statistically significant differences were found between the taxonomic structures of the fungal communities of the Eastern Equatorial Atlantic and the other regions of the World Ocean, which are due to the insufficient amount of data obtained on the species composition of fungi in the sediments of this area. The study did not reveal any pattern in the change in the number of fungal species and their abundance in relation to the water characteristics (temperature, pH, and salinity), horizon depth in the sediment core, sediment type, or sampling station location in the Romanche and Chain Fracture Zones.

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INTRODUCTION

The largest ecosystem on Earth is the deep waters of the World Ocean and its floor, but these biotopes have not been sufficiently studied in terms of organic matter content, chemical composition, and biotic components. Living or viable-in-culture microorganisms (bacteria, archaea and fungi) have been detected in ocean sediment layers that lie several hundred meters below the water–sediment interface. However, there is very little information about the general diversity and growth of microorganisms in this biotope (Rédou et al., 2015; Rojas-Jimenez et al., 2020; Florio Furno et al., 2022). The results of studying sediments to a depth of 1922 m using molecular and cultural methods simulating in situ conditions made it possible to revise the previously established maximum depths from 159 to 1740 m for the habitat of eukaryotic microorganisms and from 518 to 1922 m for that of prokaryotes (Ciobanu et al., 2014).

Cultivation allows isolating only a small number of species; however, the merit of the method is the possibility of further dealing with pure cultures of microorganisms to estimate their physiological effects and to extract and study biologically active compounds from them. Bacteria and fungi isolated from deep-sea sediments are known to produce extracellular hydrolases and antibacterial metabolites that are active against human clinical pathogens (Padmanaban et al., 2019; Zhou et al., 2021). Such species as: Acremonium fusidioides (Nicot) W. Gams, Penicillium allii-sativi Frisvad, Houbraken et Samson, P. chrysogenum Thom, P. palitans Westling, P. solitum Westling, and Pseudogymnoascus verrucosus A.V. Rice et Currah, were isolated from sediments in the Antarctic region. Some isolates of these species exhibited antifungal, trypanocidal, leishmanicidal, antimalarial, nematocidal or herbicidal activities (Ogaki et al., 2020).

In deep-sea ecosystems, fungi are involved in biochemical cycles and food chains and enter into diverse interactions (biotrophy, parasitism or symbiotrophy) with other organisms (Marchese et al., 2021). It is known that endolithic fungi (i.e. those living inside rocks) destroy the calcareous structures of hydrobionts: mollusk shells, barnacles, foraminifera, corals, and the burrow linings of marine wood borers (Kopytina, Bocharova, 2022).

Studies have been carried out on marine fungi from deep-sea sediments of the Mariana (Nagano et al., 2010) and Atacama Trenches (Edgcomb et al., 2011; Wang et al., 2019), Mid-Indian Basin (Singh et al., 2012), South China Sea (Zhang et al., 2013), Tropical Eastern Pacific (Rojas-Jimenez et al., 2020), Atlantic Ocean (Marchese et al., 2021; Zhou et al., 2021), and Black Sea (Zaitsev, Polikarpov, 2008; Sergeeva, Kopytina, 2014). Mainly cosmopolitan fungi have been identified at different horizons in sediments. This raises the question on the origin of the fungi and their ability to adapt to the deep-sea conditions (Damare et al., 2006; Rédou et al., 2015; Wang et al., 2019, Zvereva, Borzykh, 2022). Molecular studies discover operational taxonomic units (OTU) of uncultivated fungi for which there are no data in the GenBank database (Xu et al., 2014; Marchese et al., 2021).

Studies on the fungal species diversity in the deep pelagic and benthic zones of the World Ocean are important for understanding the number of fungal species on the planet and their ecophysiological role in extreme environmental conditions (Marchese et al., 2021).

The purposes of the present study are: 1) to assess the taxonomic diversity of fungi and the structural features of their communities in sediments up to the horizons 4.7 m below the water-sediment interface in the Eastern Equatorial Atlantic; and 2) to assess the influence of abiotic factors – characteristics of water above the sediments (temperature, salinity, and pH), horizon level in the sediment core, and sediment type – on the structure of fungal communities.

MATERIALS AND METHODS

Sediments and water sampling. RV “Akademik Ioffe” cruise 63 (Shirshov Institute of Oceanology of the Russian Academy of Sciences, RAS) took place from 29.09.2022 to 08.12.2022 in the eastern part of the Equatorial Atlantic in the area of the Romanche and Chain Fracture Zones (Fig. 1). Teams of geologists and lithologists from the Shirshov Institute of Oceanology of RAS collected sediment cores at 12 stations using a marine geological coring tube with a diameter of 110 mm. To study microscopic fungi, one sediment horizon was isolated from each core.

 

Fig. 1. Map of stations at which sediment cores were sampled with water characteristics in the 63th cruise RV “Akademik Ioffe”

 

Water temperature, salinity and pH in the near-sediment layer (at a distance of about 7 m from the ocean floor) were measured using a CTD-probe Sea-Bird 19plus and a pH-meter HANNA instruments HI98128 PHep5 with a precision of 0.01°C and 0.01 PSU for the thermohaline characteristics and 0.01 for pH values.

Fungal isolation. Fungi were isolated on Czapek medium (LLC Research and Development Center “Biokompas-S”, Uglich, Russia) and Sabouraud agar (Obolensk, Serpukhov, Moscow Region, Russia). 1 mL of sediment suspension (dilution 1 : 10) was added into a sterile Petri dish and the dish was filled with molten medium cooled to approximately 45°C. Three replicates were prepared for each medium (72 dishes in total). A 3% chloramphenicol (antibiotic) solution in ethanol was added to the media in a proportion of 1 mL per 1 L of media to suppress bacterial growth. The media were prepared using sterile artificial seawater, which was obtained by dissolving 34 g of sea salt (“Marbelle”, Taganrog, Russia) in 1 liter of distilled water. The Petri dishes with the material were incubated in a thermostat at 18°C for one month.

Two sediment samples of equal weights were taken. One of them was used to prepare a suspension, and the other one was dried in an oven to constant weight at a temperature of 105°C. The number N of colony-forming units (CFU) of micromycetes was calculated per 1 g of dry sediment using the formula: N = a·b·m·g1, [1], where a is the average number of colonies in Petri dishes, b is the sediment dilution factor, m is the wet sediment weight, and g is the dry sediment weight (Bilay, 1982).

To examine fungal communities, we used an ADF U300 light microscope equipped with a camera ADF Pro 08 (China). Microfungi were identified by morphological and cultural characteristics using the works (Bilay, Koval, 1988; De Hoog et al., 2000; Klich, 2002; Refai et al., 2014; Visagie et al., 2014) and others. Valid names and taxonomic affiliation of fungi were taken from the international electronic database Index Fungorum (2024).

Permanent preparations of isolated fungi are in the personal collection of N.I. Kopytina at the Papanin Institute of Biology of Inland Waters of RAS.

Data processing. Data processing was carried out using MS Excel and the statistical software package PRIMER® 5.2.8. The input of the PRIMER® software is a sample × taxon matrix supplemented with the corresponding grouping factors. The similarity of the structure of fungal communities across stations/horizons were assessed using the Bray – Curtis similarity coefficient (the Similarity analysis) in two variations: species composition similarity was assessed by the presence/absence of species, and similarity of the quantitative structure of communities was evaluated from the number and abundance of species.

The systematic features of a fungal community are described using two taxonomic indices: Average Taxonomic Distinctness index (AvTD, Δ+) and Variation in Taxonomic Distinctness index (VarTD, Λ+). These indices are calculated based on the presence/absence of species. To calculate index values, two matrices are used: Sample data (main matrix) and Aggregation data with the systematic position of each species according to the hierarchy of C. Linnaeus (species, genus, family, etc.). The TAXDTEST function plots index graphs and the arrangement of symbols demonstrates the proximity of the taxonomic structure of the complexes under consideration.

Average Taxonomic Distinctness index (∆+) shows the vertical breadth of the distribution of taxa at the previous and next levels of the taxonomic tree. The ∆+ index is the mean length of links between species in the taxonomic tree. When two species belong to the same genus, one link leads to the common node representing the genus. If species belong to different genera of the same family, two different link levels are involved (species – genus and genus – family), and the index is calculated using the formula: ∆+ = [ΣΣi<j ij]/[S(S – 1)/2] [2], where S is the number of species in the sample and ⍵ij is a measure of taxonomic difference given by the length of the path that connects species i and j in the hierarchical classification.

Variation in Taxonomic Distinctness index (VarTD, Λ+) shows the degree of horizontal evenness in the distribution of the number of lower taxa in the branches of high levels. It is calculated using the formula: Λ+ = [ΣΣi<j ij – ∆+)2]/[S(S – 1)/2] [3], with the same notations as in Eq. [2]. The more representatives from polyspecific branches in the community, the lower the indicators of hierarchical evenness of the taxonomic structure and the lower the values of the indices ∆+ and Λ+ (Clarke et al., 2014).

Systematic features of the fungal communities of the Eastern Equatorial Atlantic are considered in comparison with similar communities from other areas of the World Ocean. A list of fungal species in sediments of the Indian Ocean (cores at 0.3, 0.4 and 4.7 m) (Raghukumar, Raghukumar, 1998; Raghukumar et al., 2010; Damare et al., 2006; Zhang et al., 2014; Xu et al., 2018), the Pacific (0.0–3.58, 4, 12, 21, 25, 34, 37, 137, 403, 765, 1478 and 1884 m) (Xu et al., 2014; Rédou et al., 2015; Keeler et al., 2021), and the Atlantic (surficial horizons in the areas of Porcupine Bank, the Whittard Canyon, and the South Atlantic Ocean) (Marchese et al., 2021; Zhou et al., 2021) is compiled. This list includes fungal species that were isolated by culture or identified by genetic analysis with an accuracy of at least 98%. If only the fungal genus was reported, then the genus name is supplemented with the designations: sp. 1, sp. 2. The list consists of 180 fungal names and includes also the taxa found in this study. Using the list of species, the taxonomic richness (number of taxa of different ranks) and proportions (genera/families, species/families, species/genera) in the communities of the compared areas are determined and the graphs of the ∆+ and Λ+ indices are plotted. This analysis is shown in Discussion.

The outcome of the BIOENV analysis (Biota and/or Environment matching) is the highest possible values of Spearman’s rank correlation coefficients (ρmax). The values of the coefficients show the combination of environmental parameters that most closely match variations in the distribution of numbers and species composition of organisms by comparing biotic (i.e. related to number of species and number of organisms) and abiotic (i.e. related to physicochemical parameters of the environment) similarity matrices. The software uses Z-standardization of environmental parameters with different measurement units. The Shannon diversity index H′ used in the study indicates the complexity of the fungal community structure and is calculated based on the abundance (or biomass) and number of species as follows: H´ = ΣRi=1 ρi loge ρi, [4], where ρi is the proportion of the i-th species in the total count (or total biomass) and R is the number of species. In this study, the Shannon index based on abundance was calculated using the function DIVERSE (Clarke et al., 2014).

The similarity in the quantitative structure of the fungal communities was analyzed using MDS ordination (ordination of samples by Multi-Dimensional Scaling), whose outcome representation contains the intervals among stations in multidimensional space and is projected to 3D plots (MDS function).

Ecological analysis of fungal community includes: species composition, number of species, number of colony-forming units (CFU g–1 dry sediment), and frequency of species occurrence. The frequency of occurrence was calculated using the number of stations (12) taken as 100%.

RESULTS

Characteristics of sediment samples and water

Station coordinates and characteristics of the sediment samples and water layer above sediments are presented in Table 1. The sampled sediments were sandy, clayey or silty odorless sediments, light gray or dark gray in color at natural moisture content. The physicochemical characteristics of water at the sampling stations were close.

 

Table 1. Characteristics of sampling stations, sediment samples and water above sediments

Station N

Coordinates

Ocean depth, m

T, °С

S, PSU

pH

Sediment horizon, m

Sediment type

4379

00°01.218ʹ S; 17°11.983ʹ W

5493

1.96

34.86

7.00

3.00

sandy clay

4380

00°21.151ʹ N; 16°34.747ʹ W

5602

1.91

34.85

7.02

1.00

sandy silt

4382

00°34.846ʹ N; 15°31.27ʹ W

4814

2.20

34.84

6.94

3.60

silty sand

4383

00°21.293ʹ N; 15°12.424ʹ W

4165

1.19

34.77

6.89

2.68

clayey sand

4385

00°33.135ʹ N; 14°36.729ʹ W

4838

1.35

34.79

6.83

4.50

clayey sand

4393

00°59.275’ S; 13°45.671' W

4688

1.28

34.78

6.78

2.95

clayey sand

4394

01°22.236ʹ S; 15°08ʹ W

5535

1.23

34.76

6.78

2.60

sandy silt

4397

02°05.9ʹ S; 18°25.4ʹ W

5189

0.82

34.72

6.69

3.75

clay

4405

00°51.47ʹ S; 21°34.5ʹ W

5964

1.16

34.77

7.02

3.00

clayey sand

4407

01°05.66ʹ S; 22°54.587ʹ W

4824

1.28

34.76

6.31

3.10

sandy silt

4408

01°06.794ʹ S; 23°26.982ʹ W

4860

1.24

34.76

6.82

2.19

sandy silt

4410

01°10.356ʹ S; 24°25.5ʹ W

5415

1.13

34.76

6.74

4.70

silty sand

 

Fungal communities

In the deep-sea sediments from the Romanche and Chain Fracture Zones, 2543 colonies of fungi belonging to 18 species of the phylum Ascomycota and one species of the phylum Basidiomycota were identified, and one unidentified taxon Mycelia sterilia 1 was detected. The species composition of the fungal complexes was dominated by representatives of the class Eurotiomycetes, family Aspergillaceae: six species from the genus Aspergillus, seven ones from the genus Penicillium, one species from the genus Emericella, and one from the genus Talaromyces (Fig. 2, Table 2). The maximum frequency of occurrence (50%) among stations was noted for the yeast Metschnikowia sp. 1.

 

Fig. 2. Main fungal species isolated: (a) Penicillium citrinum; (b) Microascus brevicaulis; (с) Aspergillus fumigatus

 

Table 2. Taxonomic composition, abundance (CFU g–1 dry sediment) and at different horizons (stations) in deep-sea sediments from the eastern part of the Equatorial Atlantic

Sediment horizon, m

3.0

1.0

3.6

2.68

4.5

2.6

3.75

3.0

3.1

2.19

4.7

Station #

4379

4380

4382

4383

4385

4394

4397

4405

4407

4408

4410

CFU g1 dry sediment

Ascomycota

Eurotiomycetes

*Aspergillus aculeatus Iizuka

0

0

0

0

0

60

0

0

0

0

0

*A. carneus Blochwitz

0

0

0

70

0

0

0

0

0

0

0

A. conicus Blochwitz

0

200

0

0

0

0

0

0

0

0

0

*A. fumigatus Fresen.

0

100

0

70

0

60

30

0

0

0

0

*A. terreus Thom

0

0

0

0

0

0

30

0

0

50

0

*Emericella usta (Bainier) Pitt et A.D. Hocking

0

0

0

0

0

60

0

0

0

0

0

*A. sydowii (Bainier et Sartory) Thom & Church

0

0

0

0

100

0

0

0

0

50

0

Penicillium aurantiogriseum Dierckx

0

0

0

150

0

0

0

0

1600

0

40

*P. brevicompactum Dierckx

0

0

0

70

0

0

0

0

30

0

0

*P. chrysogenumThom

100

100

150

0

100

0

0

0

0

0

500

*P. citrinum Thom

100

0

0

0

0

0

0

0

0

0

0

P. expansum Link

0

0

0

0

100

0

0

0

0

0

0

P. paradoxum (Fennell et Raper) Samson, Houbraken, Visagie et Frisvad

0

100

0

0

0

0

40

0

0

50

0

P. purpurogenum Stoll

0

0

0

0

0

0

0

0

0

0

500

Talaromyces rugulosus (Thom) Samson, N. Yilmaz, Frisvad et Seifert

0

0

30

70

150

0

0

0

0

0

0

Sordariomycetes

Sarocladium kiliense (Grütz) Summerb.

0

0

30

0

0

0

0

90

70

0

0

*Microascus brevicaulis S.P. Abbott

0

100

30

150

0

0

0

0

0

50

0

Saccharomycetes

Metschnikowia sp. 1

635

200

185

0

1300

0

0

0

1600

504

0

Basidiomycota

Microbotryomycetes

Rhodotorula sp. 1

0

500

300

0

0

0

0

0

0

0

0

Unidentified taxon

Mycelia sterilia 1

220

0

30

0

0

0

0

30

0

0

40

Total abundance and indicators of fungal species diversity

Total abundance, CFU g–1 dry sediment

1055

1300

755

580

1750

180

100

120

3300

704

1080

Number of taxa

4

7

7

6

5

3

3

2

4

5

4

Shannon Index, Hʹ(loge)

1.079

1.733

1.545

1.720

0.922

1.099

1.089

0.562

0.826

0.991

0.957

Note. *Terrestrial fungal species with proven ability to live in the marine environment, according to molecular data (Jones et al., 2015).

 

Representatives of obligate marine fungi were not found in the sediments, and all species belonged to terrigenous cosmopolitan fungi. Low abundance (in CFU g1) was noted in all samples, and growth of micromycetes was recorded in 33 Petri dishes (45.8%). From the sediments sampled at Station N 4393 (sampling horizon 2.95 m), no fungi were isolated.

Seven fungal species were encountered only once. In this case, the maximum similarity of species composition, in terms of the Bray-Curtis coefficient, was 57.14% (Stations NN 4380 and 4382, horizons 1.0 and 3.6 m, four common species), and the maximum similarity of the quantitative structure was 59.59% at these stations (with the abundances of 1300 and 755 CFU g–1 dry sediment). The biodiversity across horizons (stations) was also very low as seen in the Shannon Index values.

As a result of comparing matrices of the biotic and abiotic factors (ocean depth, sediment horizon, water temperature, pH and salinity) using BIOENV analysis, maximum Spearman correlation coefficients were obtained, which ranged from 0.063 to 0.103. The values of the coefficients were not statistically significant; therefore, the environmental parameters under consideration did not significantly affect the structure of the fungal communities (Table 3). We did not reveal any pattern of changes in the number of species or fungal abundance with the sediment horizon (at the ocean depth differences up to 1799 m and at the sediment horizon differences up to 3.7 m).

 

Table 3. The highest values of Spearman’s rank correlation coefficients (ρmax) for combinations of different numbers of variables influencing the structure of the fungal communities

Max. Spearman’s coefficient (ρmax)

Combination of factors (water characteristics)

0.103

Temperature, salinity

0.090

Temperature

0.090

Temperature, salinity, pH

0.088

Ocean depth, temperature, salinity

0.082

Ocean depth, temperature

0.081

pH

0.079

Temperature, pH

0.077

Ocean depth, temperature, pH

0.074

Salinity

0.063

Ocean depth, temperature, salinity, pH

 

No differences were detected among fungal communities from sediments of different types and from the Romanche and Chain Fracture Zones, as shown in the graphs of ordination of samples by Multi-Dimensional Scaling [MDS (3D)] (Fig. 3).

 

Fig. 3. MDS (3D) similarity of fungal communities: а – in sediments of different types; b – in sediments of the Romanche and Chain Fracture Zones (according to the Bray-Curtis similarity coefficient)

 

DISCUSSION

Molecular and cultural mycological studies of subsurface horizons in deep-sea sediments of the World Ocean show that species of the phylum Ascomycota represent 43.0–80.0%, Basidiomycota 3–20%, Mucoromycota 0.55–1.5%, Chytridiomycota 0.8%, and those with unidentified sequences account for 2.4–64.0% of the species composition (Xu et al., 2018; Rojas-Jimenez et al., 2020; Florio Furno et al., 2022).

Species of the phylum Ascomycota dominated the sediments in the Indian, Pacific, and Atlantic Oceans, representing from 76.4% (Indian Ocean) to 89.5% (Atlantic Ocean) of the species composition. In the present study, fungal taxa from the phylum Ascomycota accounted for 92.5% of the species composition and abundance. Using the species lists, indicators of taxonomic richness and diversity of fungal communities were calculated, and graphs of the taxonomic indices Delta+ and Lambda+ were plotted for each region in question (Table 4, Fig. 3, a, b).

 

Table 4. Indicators of taxonomic richness and diversity of fungal communities in deep-sea sediments of the Eastern Equatorial Atlantic, other Atlantic areas, Indian and Pacific oceans

Ocean

Number of taxa

Proportions

species

genera

families

orders

classes

G/F

S/F

S/G

Ascomycota

Eastern Equatorial Atlantic (EEA)

18

6

4

4

3

1.50

4.50

3.00

Atlantic (AO)

34

15

12

11

5

1.25

2.83

2.27

Indian (IO)

68

37

23

12

6

1.61

2.96

1.84

Pacific (PO)

63

39

24

15

6

1.63

2.63

1.62

Basidiomycota

Eastern Equatorial Atlantic (EEA)

1

1

1

1

1

1.00

1.00

1.00

Atlantic (AO)

4

4

3

3

3

1.33

1.33

1.00

Indian (IO)

18

15

10

8

6

1.50

1.80

1.20

Pacific (PO)

16

12

7

7

3

1.71

2.29

1.33

Mucoromycota

Eastern Equatorial Atlantic (EEA)

0

0

0

0

0

0

0

0

Atlantic (AO)

0

0

0

0

0

0

0

0

Indian (IO)

0

0

0

0

0

0

0

0

Pacific (PO)

1

1

1

1

1

1.00

1.00

1.00

Note. G/F – genera/families; S/F – species/families; S/G – species/genera.

 

The highest similarity of species composition was in the fungal communities of PO and IO, 20.6 (the common species were: Acremonium obclavatum W. Gams, Aspergillus terreus, Aureobasidium pullulans (de Bary et Löwenthal) G. Arnaud, Candida parapsilosis (Ashford) Langeron et Talice, Cladosporium sphaerospermum Penz., Cutaneotrichosporon curvatum (Diddens et Lodder) Yurkov, Xin Zhan Liu, F.Y. Bai, M. Groenew. et Boekhout, C. mucoides (E. Guého et M.T. Sm.) Xin Zhan Liu, F.Y. Bai, M. Groenew. et Boekhout, Emericella sydowii, Fusarium oxysporum Schltdl., F. solani (Mart.) Sacc., Meyerozyma guilliermondii (Wick.) Kurtzman et M. Suzuki, Penicillium chrysogenum, Rhodotorula mucilaginosa (A. Jörg.) F.C. Harrison, Sarocladium kiliense, and Starmerella etchellsii (Lodder et Kreger-van Rij) C.A. Rosa et Lachance, and the common genus was Exophiala). The similarity of the fungal communities in the EEA sediments was 10.5 with those in sediments of the other AO areas (Aspergillus conicus, Penicillium brevicompactum, P. chrysogenum); 11.4 with those in the IO sediments (Aspergillus terreus, Emericella sydowii, E. usta, Penicillium chrysogenum, Sarocladium kiliense); and 16.3 with those in the PO sediments (Aspergillus fumigatus, A. terreus, Emericella sydowii, Penicillium brevicompactum, P. chrysogenum, Sarocladium kiliense, yeasts of the genera Metschnikowia and Rhodotorula). In the EEA sediments, nine fungal species are noted that were encountered in other regions. Common to the compared communities were Penicillium chrysogenum and yeasts of the genus Rhodotorula.

The smallest value of the Average Taxonomic Distinctness index Δ+ = 50.19 was recorded for the EEA communities. It was beyond the confidence interval (≈ 73–88), and its symbol on the chart (Fig. 4, a) is below the probability funnel. This indicates the uneven distribution of the species across higher taxonomic ranks and statistically significant difference from the taxonomic structure of the other fungal communities under consideration. The species in this area belong to four classes (out of 13). The class Eurotiomycetes is dominated by representatives of the family Aspergillaceae, 78.9% of the species composition; this proportion is 18.6% in the Indian Ocean, 20.3% in the Pacific, and 23.7% in the other areas of the Atlantic. The symbol of the communities from the other areas of AO (eight classes) is on the lower border of the confidence funnel (Δ+ = 77.55). The indices of the communities from the Indian and Pacific Oceans (10–12 classes) are the closest to the calculated mean value (Δ+ = 83.22–82.66). Representatives of the classes Dothideomycetes, Eurotiomycetes, Sordariomycetes, Agaricomycetes, Leotiomycetes, Saccharomycetes, Microbotryomycetes were noted in sediments of AO, IO and PO. In the eastern equatorial Atlantic, fungi from the classes Dothideomycetes, Eurotiomycetes, Sordariomycetes, and Microbotryomycetes were recorded.

 

Fig. 4. Average Taxonomic Distinctness index (Delta+) (a) and Variation in Taxonomic Distinctness index (Lambda+) (b) based on a list of fungal species in subsurface horizons of deep-sea sediments: 1 – Eastern equatorial Atlantic; 2 – Atlantic Ocean, other areas; 3 – Indian Ocean; 4 – Pacific Ocean. Solid lines demarcate the 95% probability funnels. The dotted line runs through the center of the 95% probability funnel – average calculated index value

 

The highest value of in the index Λ+ = 945.38 is found for the communities from the EEA sediment samples, and it is also beyond the confidence interval (≈ 220– 670). Its symbol is above the confidence funnel on the graph (Fig. 4, b), confirming a high degree of horizontal unevenness in the species distribution along taxonomic branches and a small number of higher taxonomic ranks. Species of the family Aspergillaceae were dominant, and there were one-two species from the classes Sordariomycetes and Saccharomycetes and one species from the phylum Basidiomycota (class Microbotryomycetes). The index values for the other regions (Λ+ = 364.18–495.22) are within the confidence funnel.

The taxonomic richness and diversity of fungal communities in the oceans (Table 4) and the values of the genera/families, species/families and species/genera proportions reflect the average distribution of genera at two relatively low taxonomic levels, but do not reveal the distribution of species in them and, even more so, in the higher taxonomic ranks in specific regions. At the same time, the kingdom Fungi includes a great number of classes and, accordingly, taxa of lower levels. The graphs of the Δ+ and Λ+ indices clearly show the similarities/differences in the structure of the communities under consideration, with the distribution of species in the high ranks taken into account. Thus, these graphs are useful when analyzing large numbers of species and regions, and data on taxonomic richness and diversity are helpful in justifying the values of the indices.

In the EEA sediments, fungi of the classes Eurotiomycetes, Sordariomycetes, Saccharomycetes, and Microbotryomycetes were detected, which fact is consistent with results obtained for the other regions of the World Ocean (Raghukumar, Raghukumar, 1998; Raghukumar et al., 2010; Damare et al., 2006; Zhang et al., 2014; Xu et al., 2014, 2018; Rédou et al., 2015; Wang et al., 2019; Rojas-Jimenez et al., 2020; Keeler et al., 2021). In our study, common fungal species of the genera Alternaria, Cladosporium, Phoma and Fusarium were not found, which make up from 11.4% (Pacific Ocean) to 31.6% (other areas of the Atlantic) of the species composition. Apparently, this is due to the small amount of data and insufficient research on fungi in sediments of the Eastern Equatorial Atlantic.

It is known that the structure of fungal communities in sediments is not dependent on such factors as hydrostatic pressure, water salinity, presence of oxygen, and geographical location of site (Rojas-Jimenez et al., 2020; Marchese et al., 2021). This is confirmed also by the results of the present research. Further studies on fungi in sediment layers are needed to make more comprehensive and substantiated conclusions about the influence of environmental conditions on these organisms.

CONCLUSION

For the first time, fungal communities from sediment samples collected in the Eastern Equatorial Atlantic from ocean depths of 4165–5964 m at horizons 1.0–4.7 m below the water–sediment interface have been characterized. In similar studies, names of fungal taxa no lower than at the genus level are typically indicated, and frequently, they are for higher taxonomic ranks up to phyla. Therefore, it is difficult to compare the obtained results with the literature data. Based on the literature data, a list of species in sediments from the Indian, Pacific and Atlantic oceans, including the Equatorial Atlantic, has been compiled. This has allowed us to identify common features of the structure of the fungal communities: 1) species from the phylum Ascomycota account for 92.5% of the species composition and abundance; 2) there is a high incidence of yeasts (50.0% for Saccharomycetes); 3) a yeast of the genus Rhodotorula (Basidiomycota) has been isolated. The features of the fungal communities from the Eastern Equatorial Atlantic are: 1) identified species are predominantly from the family Aspergillaceae (78.9%); 2) small number of fungal classes (four only) have been identified; 3) the widespread genera Alternaria, Cladosporium, Phoma, and Fusarium are lacking. The values for the Average Taxonomic Distinctness index (Delta+) and Variation in Taxonomic Distinctness index (Lambda+) calculated for the fungal communities from EEA samples were beyond the 95% confidence interval. Consequently, the taxonomic structure of these communities is significantly different from those of the other areas of the World Ocean in question, which is clearly displayed in the index graphs and is confirmed by the data on taxonomic richness and diversity. It has been found in the present study that the structure of the fungal communities from the Eastern Equatorial Atlantic was not influenced by the ocean depth at the sampling stations or physicochemical characteristics (temperature, salinity and pH) of water above the sediments. Also, no differences in the fungal communities from different types of sediments and between the Romanche and Chain Fracture Zones have been detected.

The authors thank the Head of the expedition E.V. Ivanova (Shirshov Institute of Oceanology of RAS), the Deputy Head of the expedition D.G. Borisov (Shirshov Institute of Oceanology of RAS), the Head of the Hydrophysics Unit A.N. Demidov (Lomonosov Moscow State University), the Head of the Lithology Unit N.A. Shulga (Shirshov Institute of Oceanology of RAS), and all scientific and ship personnel involved in obtaining measurement data in the 63th cruise of RV “Akademik Ioffe”. We also express our gratitude to Captain A.B. Zybin and crew of RV “Akademik Ioffe” for ensuring safety and creating comfortable conditions in the cruise. We are grateful to V.V. Zakonnov (Papanin Institute for Biology of Inland Waters of RAS) for the identification of sediment types. We are also grateful to the anonymous reviewer for the valuable suggestions and comments. This work was supported by the Ministry of Science and Higher Education of the Russian Federation within the following governmental research assignments N 124030100137-6, N 124022400152-1 in the A.O. Kovalevsky Institute of Biology of the Southern Seas of RAS, N 124032500012-6 in the Papanin Institute of Biology of Inland Waters of RAS. The analysis of temperature and salinity distribution was supported within the Russian Science Foundation grant (N 23-17-00032).

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作者简介

N. Kopytina

Papanin Institute for Biology of Inland Waters of the Russian Academy of Sciences

编辑信件的主要联系方式.
Email: kopytina_n@mail.ru
俄罗斯联邦, Borok

S. Krasheninnikova

A. O. Kovalevsky Institute of Biology of the Southern Seas of the Russian Academy of Sciences

Email: svetlanabk@mail.ru
俄罗斯联邦, Sevastopol

S. Kapranov

A. O. Kovalevsky Institute of Biology of the Southern Seas of the Russian Academy of Sciences

Email: sergey.v.kapranov@yandex.ru
俄罗斯联邦, Sevastopol

E. Bocharova

A. O. Kovalevsky Institute of Biology of the Southern Seas of the Russian Academy of Sciences

Email: eabocharova.inbum@gmail.com
俄罗斯联邦, Sevastopol

N. Rodionova

A. O. Kovalevsky Institute of Biology of the Southern Seas of the Russian Academy of Sciences

Email: rodionova153@rambler.ru
俄罗斯联邦, Sevastopol

参考

  1. Bilay V.I. (ed.). Methods of experimental mycology. Naukova Dumka, Kiev, 1982. (In Russ.).
  2. Bilay V.I., Koval E.Z. Aspergilli. Naukova Dumka, Kiev, 1988. (In Russ.).
  3. Ciobanu M.C., Burgaud G., Dufresne A. Microorganisms persist at record depths in the subseafloor of the Canterbury Basin. ISME J. 2014. V. 8. P. 1370–1380. https://doi.org/10.1038/ismej.2013.250
  4. Clarke K.R., Gorley R.N., Somerfield P.J. et al. Change in marine communities: an approach to statistical analysis and interpretation, 3rd ed. Primer-E Ltd, Plymouth, 2014.
  5. Damare S., Raghukumar C., Raghukumar S. et al. Fungi in deep-sea sediments of the Central Indian Basin. Deep Sea Res Part I. 2006. V. 53. P. 14–27. https://doi.org/10.1016/j.dsr.2005.09.005
  6. De Hoog G.S., Guarro J., Gene J. et al. Atlas of clinical fungi. Centraalbureau voor Schimmelcultures, Utrecht, 2000.
  7. Edgcomb V.P., Beaudoin D., Gast R. Marine subsurface eukaryotes: the fungal majority. Environ Microbiol. 2011. V. 13. P. 172–183. https://doi.org/10.1111/j.1462-2920.2010.02318.x
  8. Florio Furno M., Poli A., Ferrero D. et al. The culturable mycobiota of sediments and associated microplastics: From a harbor to a marine protected area, a comparative study. J. Fungi. 2022. V. 8. Art. 927. https://doi.org/10.3390/jof8090927
  9. Index Fungorum. CABI Bioscience, 2024. https://www.indexfungorum.org/. Accessed 01.03.2024.
  10. Jones E.B.G., Suetrong S., Sakayaroj J. et al. Classification of marine Ascomycota, Basidiomycota, Blastocladiomycota and Chytridiomycota. Fungal Diversity. 2015. V. 73. P. 1–72. https://doi.org/10.1007/s13225-015-0339-4
  11. Keeler E., Burgaud G.Е., Teske A. et al. Deep-sea hydrothermal vent sediments reveal diverse fungi with antibacterial activities. FEMS Microbiology Ecology. 2021. V. 97. Art. fiab103. https://doi.org/10.1093/femsec/fiab103
  12. Klich M.A. Identification of common Aspergillus species. Centraalbureau voor Schimmelcultures, Utrecht, 2002.
  13. Kopytina N.I., Bocharova E.A. Fouling communities of microscopic fungi on various substrates of the Black Sea. Biosyst. Diversity. 2021. V. 29. P. 345–353. https://doi.org/10.15421/012144
  14. Marchese P., Garzoli L., Young R. et al. Fungi populate deep-sea coral gardens as well as marine sediments in the Irish Atlantic Ocean. Environ. Microbiol. 2021. V. 23. P. 4168–4184. https://doi.org/10.1111/1462-2920.15560
  15. Nagano Y., Nagahama T., Hatada Y. Fungal diversity in deep-sea sediments – the presence of novel fungal groups. Fungal. Ecol. 2010. V. 3. P. 316–325. https://doi.org/10.1016/j.funeco.2010.01.002
  16. Ogaki M.B., Coelho L.C., Vieira R. et al. Cultivable fungi present in deep-sea sediments of Antarctica: Taxonomy, diversity, and bioprospecting of bioactive compounds. Extremophiles. 2020. V. 24. P. 227–238. https://doi.org/10.1007/s00792-019-01148-x
  17. Padmanaban V.P., Verma P., Gopal D. et al. Phylogenetic identification and metabolic potential of bacteria isolated from deep sea sediments of Bay of Bengal and Andaman Sea. Indian J. Exp. Biol. 2019. V. 57. P. 561–572.
  18. Raghukumar C., Damare S., Singh P. A review on deep-sea fungi: occurrence, diversity and adaptations. Bot. Mar. 2010. V. 53. P. 479–492. https://doi.org/10.1515/bot.2010.076
  19. Raghukumar C., Raghukumar S. Barotolerance of fungi isolated from deep-sea sediments of the Indian Ocean. Aquat. Microb. Ecol. 1998. V. 15. P. 153–163. https://doi.org/10.3354/ame015153
  20. Rédou V., Navarri M., Meslet-Cladière L. et al. Species richness and adaptation of marine fungi from deep-subseafloor sediments. Appl. Environ. Microbiol. 2015. V. 81. P. 3571–3583. https://doi.org/10.1128/AEM.04064-14
  21. Refai M., El-Yazid H.A., Hassan A. et al. Monograph on Aspergillus and aspergillosis in man, animals and birds. 2014.
  22. Rojas-Jimenez K., Grossart H.P., Cordes E. et al. Fungal communities in sediments along a depth gradient in the Eastern Tropical Pacific. Front Microbiol. 2020. V. 11. P. 575207. https://doi.org/10.3389/fmicb.2020.575207
  23. Sergeeva N., Kopytina N. The first marine filamentous fungi discovered in the bottom sediments of the oxic/anoxic interface and in the bathyal zone of the Black Sea. Turk J. Fish Aquat. Sci. 2014. V. 14. P. 497–505. https://doi.org/10.4194/1303-2712-v14_2_21
  24. Singh P., Raghukumar C., Meena R. et al. Fungal diversity in deep-sea sediments revealed by culture-dependent and culture-independent approaches. Fungal Ecol. 2012. V. 5. P. 543–553. https://doi.org/0.1016/j.funeco.2012.01.001
  25. Visagie C.M., Houbraken J., Frisvad J.C. et al. Identification and nomenclature of the genus Penicillium. Stud. Mycol. 2014. V. 78. P. 343–371. https:// doi.org/10.1016/j.simyco.2014.09.001
  26. Wang Z.P., Liu Z.Z., Wang Y.L. et al. Fungal community analysis in seawater of the Mariana Trench as estimated by Illumina HiSeq. RSC Adv. 2019. V. 9. P. 6956–6964. https://doi.org/10.1039/c8ra10142f
  27. Xu W., Pang K.L., Luo Z.H. High fungal diversity and abundance recovered in the deep-sea sediments of the Pacific Ocean. Microb. Ecol. 2014. V. 68. P. 688–698. https://doi.org/10.1007/s00248-014-0448-8
  28. Xu W., Gonga L., Pangc K.L. et al. Fungal diversity in deep-sea sediments of a hydrothermal vent system in the Southwest Indian Ridge. Deep-Sea Research Part I. 2018. V. 131. P. 16–26. https://doi.org/10.1016/j.dsr.2017.11.001
  29. Zaitsev Y.P., Polikarpov G.G. Recently discovered new biospheric pelocontour function in the Black Sea reductive bathyal zone. J. Black Sea/Mediterr. Environ. 2008. V. 14. P. 151–165.
  30. Zhang X.Y., Tang G.L., Xu X.Y. et al. Insights into deep-sea sediment fungal communities from the East Indian Ocean using targeted environmental sequencing combined with traditional cultivation. PLOS One. 2014. V. 9. P. 109118. https://doi.org/10.1371/journal.pone.0109118
  31. Zhang X.Y., Zhang Y., Xu X.Y. et al. Diverse deep-sea fungi from the South China Sea and their antimicrobial activity. Curr. Microbiol. 2013. V. 67. P. 525–530. https://doi.org/10.1007/s00284-013-0394-6
  32. Zhou Y., Gao X., Shi C. et al. Diversity and antiaflatoxigenic activities of culturable filamentous fungi from deep-sea sediments of the South Atlantic Ocean. Mycobiol. 2021. V. 49. P. 151–160. https://doi.org/10.1080/12298093.2020.1871175
  33. Zvereva L.V., Borzykh O.G. Fungi in deep-sea ecosystems of the World Ocean: a review. Russian Journal of Marine Biology. 2022. V. 48 (3). P. 139–148. https://doi.org/10.1134/S1063074022030105
  34. Билай В.И. (ред.) (Bilay) Методы экспериментальной микологии. Киев: Наукова думка, 1982. 550 c.
  35. Билай В.И., Коваль Е.З. (Bilay, Koval) Аспергиллы. Киев: Наукова думка, 1988. 204 c.

补充文件

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1. JATS XML
2. Fig. 1. Map of stations at which sediment cores were sampled with water characteristics in the 63th cruise RV “Akademik Ioffe”

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3. Fig. 2. Main fungal species isolated: (a) Penicillium citrinum; (b) Microascus brevicaulis; (с) Aspergillus fumigatus

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4. Fig. 3. MDS (3D) similarity of fungal communities: а – in sediments of different types; b – in sediments of the Romanche and Chain Fracture Zones (according to the Bray-Curtis similarity coefficient)

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5. Fig. 4. Average Taxonomic Distinctness index (Delta+) (a) and Variation in Taxonomic Distinctness index (Lambda+) (b) based on a list of fungal species in subsurface horizons of deep-sea sediments: 1 – Eastern equatorial Atlantic; 2 – Atlantic Ocean, other areas; 3 – Indian Ocean; 4 – Pacific Ocean. Solid lines demarcate the 95% probability funnels. The dotted line runs through the center of the 95% probability funnel – average calculated index value

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