First screening of bacteria assemblages associated with the marine polychaete Melinna palmata Grube, 1870 and adjacent sediments
Selma Menabit
Paris Lavin
Tatiana Begun
Mihaela Mureşan
Adrian Teacă
Cristina Purcarea- 1Department of Biology and Ecology, National Institute for Research and Development on MarineGeology and Geoecology-GeoEcoMar, Bucharest, Romania
- 2Department of Microbiology, Institute of Biology Bucharest of the Romanian Academy, Bucharest, Romania
- 3Facultad de Ciencias del Mar y Recursos Biológicos, Departamento de Biotecnología, Universidad de Antofagasta, Antofagasta, Chile
Bacteria associated with marine invertebrate play a fundamental role in the biology, ecology, development and evolution of their hosts. Although many studies have been focused on the microbial populations of benthic and pelagic habitats, little is known about bacteria colonizing tube-dwelling polychaete. In this context, the current study provided the first characterization of the Melinna palmata Grube, 1870 microbiome based on Illumina sequencing of 16S rRNA gene of the polychaete tissue and proximate sediments collected from the Black Sea, Romania, along a 24.2 m – 45.4 m depth-gradient. The diversity, taxonomic composition and deduced functional profile of the tissue and sediments associated bacterial communities were compared and analyzed in relation with the environmental parameters. This polychaete harbored a distinct bacterial assemblage as compared to their sediments and independent on the depth of their habitat, including 8 phyla in tissues dominated by Proteobacteria, and 12 phyla in sediments majorly represented by Actinobacteriota, respectively. At order level, Synechococcales, Rhodobacterales and Actinomarinales were highly represented in the M. palmata microbiome, while Microtrichales, Anaerolineales and Caldilineales were mostly found in sediments. A significant correlation was observed between Cyanobacteria taxa and the dissolved oxygen concentrations in shallow waters impacted by the Danube inputs. Meanwhile, this phylum showed a positive correlation with Planctomycetota colonizing the invertebrate tissues, and a negative one with Actinobacteriota and Chloroflexi found in sediments. The deduced functional profile of these bacterial assemblages suggested the prevalence of the amino acid and carbohydrate metabolism for both analyzed matrices. This pioneering report on the M. palmata microbiome highlighted the environment contribution to bacterial species enrichment of the polychaete, and provided a glimpse on the putative role of microbial communities associated with this marine organism.
1 Introduction
Marine benthic organisms are naturally colonized by microorganisms, which play a fundamental role in the biology of their hosts (Kelman et al., 2009; Ketchum et al., 2018). The diversity of bacterial communities associated with marine organisms plays an important role in immunity, metabolism, physiology (Mcfall-Ngai et al., 2013; Bordenstein and Theis, 2015; Theis et al., 2016), as well as in host development, adaptation and evolution (Rosenberg et al., 2007; Zilber-Rosenberg and Rosenberg, 2008) of these invertebrates. The bacterial-host relationship has aroused considerable interest in the field of marine biology (Piel, 2004); some of these microorganisms may be symbionts, pathogens or can create mutualism relations (Kelman et al, 2009). Symbiotic bacteria are found in many biological systems, influencing the host’s evolution and suggesting that microorganisms are involved in limiting pathogen colonization through antimicrobial compounds and competition for food resources (Felbeck and Distel, 2004; Desriac et al., 2014). As a result of co-evolving with their specific hosts, microbial symbionts exhibit a diverse array of custom-tailored biochemical traits. This renders them a reservoir of secondary metabolites characterized by distinct bioactivities that hold significant medical and commercial appeal (Zhang et al., 2015). Filtering and deposit feeding invertebrates that can concentrate bacteria from water and sediments also play an important role in aquatic microbiome contribution to the ecosystem, representing biomarkers for the microbial diversity in aquatic environments (Burkhardt et al., 1992; Graczyk et al., 2003; Marino et al., 2005).
Marine ecosystems, among the most complex environments, harbour a significant part of the global microbial population. Certain bacterial species within these ecosystems are essential contributors to many biogeochemical cycles (Muriel-Millán et al., 2021). Many microorganisms, such as taxa belonging to Proteobacteria, engage in symbiotic relationships with various marine invertebrates, influencing processes such as nutrient cycling, digestion, and defence mechanisms (Kunihiro et al., 2011; Summers et al., 2013; Von Borzyskowski et al., 2019). Cyanobacteria are crucial contributors to primary production and often create symbiotic relationships with sponges, corals or molluscs, providing their hosts with fixed carbon through photosynthesis (Erwin and Thacker, 2008; Zhukova et al., 2022). In the broader marine ecosystem, Actinobacteriota’s metabolic activities, including the breakdown of complex organic compounds, have a significant impact on the availability of nutrients and the carbon cycling (Goodfellow and William, 1983; Stevens et al., 2007).
Various environmental factors, including salinity, temperature, pH, organic matter content, and oxygen levels, play an important role in shaping the distribution and abundance of microbial communities Dang and Lovell, 2016; Guo et al., 2022a). These microorganisms’ interactions with environmental parameters serve as indicators that reflect the function and structure of marine ecosystems, as highlighted in previous studies (Boucher et al., 2006). For instance, the community structure and dynamics of bacteria belonging to Proteobacteria, Firmicutes, and Actinobacteriota phyla appeared to be affected by various factors such as salinity, dissolved oxygen, ammonia, phosphate and silicate concentrations (Guo et al., 2022b). Although variations in microbial community can be substantial across different habitat types, primarily due to the impact of environmental gradients (Martiny et al., 2006), some studies suggested consistency in community composition across similar habitats, regardless of geographical distance (Lauber et al., 2009).
Deep screening of free-living bacterial assemblages in the marine environments (Pommier et al., 2010; Costas-Selas et al., 2022; Ruginescu et al., 2022) and of bacteria associated with different organisms (Musella et al., 2020; Li et al., 2023) was successfully carried out based on next-generation sequencing of 16S rRNA genes (Webster and Taylor, 2012), overcoming some of the challenges previously associated with determining microbial diversity (Sogin et al., 2006; Winand et al., 2019).
For the last decades, investigations of bacteria-invertebrate associations from various marine environments became of high interest for the scientific community (Goffredi et al., 2007; Gilbertson et al., 2012; Lo Giudice and Rizzo, 2022). Many studies demonstrated that interactions between these organisms create symbioses leading to production of secondary metabolites with antimicrobial activities by the invertebrates-associated microbiome (Thomas et al., 2010; Graca et al., 2013; Abdelmohsen et al., 2014; Kuo et al., 2019). Also, symbiotic bacteria from bivalves were involved in the host defense mechanisms (Defer et al., 2013), and could contribute to adaptation to environmental stress conditions (Leite et al., 2017). Various methods, such as biochemical, enzymatic, molecular, and transmission electron microscopy techniques confirmed the presence of chemoautotrophic symbiotic bacteria in these organisms, supporting the idea that these bacteria play a crucial role in nutrition (Conway et al., 1992; Eisen et al., 1992). Microbes inhabiting tunicates were able to produce metabolites with anti-tumor effect (Schmidt et al., 2005), and for various biotechnologies and pharmaceutical applications (Paul and Ritson-Williams, 2008; Erwin et al., 2010). Moreover, recent studies have emphasized the potential of symbiotic bacteria found in polychaetes as a novel reservoir for biosurfactant-producing microbes (Rizzo et al., 2013; Markande et al., 2014).
Bacterial communities of tube-building worms could have an important contribution to the biogeochemical processes that occur at the interface between benthic organisms and their habitat. Thus, burrowing organisms appeared to be essential contributors to the biogeochemistry of the benthic environment through excavation, grazing and excretion (Konhauser et al., 2020). Furthermore, polychaetes host symbiotic microorganisms involved in transformation, degradation and detoxification processes, such as Ophelina species that are characterized by a high content of metal-resistant bacteria (Neave et al., 2012). Also, Capitella teleta was reported to be associated with highly abundant microbes able to degrade polyaromatic hydrocarbons which potentially allows the species to survive in polluted environments or serve as indicators of pollution (Hochstein et al., 2019).
Melinna palmata Grube, 1870 is a deposit-feeder tube-dwelling ampharetid polychaeta, with a length of 3- 4 cm (Hunt, 1925; Mare, 1942; Fauchald and Jumars, 1979). It builds a mucus-lined tube from which it can emerge to spread its tentacular palate on the sediment surface inhabiting the Black Sea generally at depths ranging from 30 to 40 m (Băcescu et al., 1971). Although this species did not occupy a well-established habitat in the Romanian Back Sea shelf until 1970, its populations started to reach significant densities and biomass a decade later (Gomoiu, 1982). Currently, M. palmata and/or Spisula subtruncata constitute the engineering species of the Circalittoral mud habitat, reaching an average density of 3,450 specimen m−2 in the Danube influenced area (Teacă et al., 2020).
Several studies in the Black Sea have been focused on investigating the microbial populations of sediments (Schulz et al, 1999; Thamdrup et al, 2000; Leloup et al, 2007; Schäfer et al, 2007; Coolen and Shtereva, 2009; Schippers et. al, 2012) and pelagic habitats (Jørgensen et al, 1991; Sorokin et al, 1995; Glaubitz et al, 2010; Bryukhanov et al, 2015; Ruginescu et al., 2022). In contrast, only one study characterized bacteria associated with the bivalve Mytilaster lineatus (Onishchenko and Kiprianova, 2006), while no research has been carried out so far on bacteria colonizing polychaete species in order to untangle the role of these symbionts in the invertebrate marine adaptation and possible microbiome exchanges with the seabed sediments.In this context, the current investigation focused on identifying the bacterial communities associated with the tube-building polychaete M. palmata and its surrounding sediments from the Romanian Black Sea shelf based on 16S rRNA gene Illumina sequencing. Comparative analyses of the microbial diversity, community composition and putative functional profile of the polychaete tissue and sediments, and correlation of bacterial taxa with the physicochemical parameters of the sea water were carried out in order to determine if the M. palmata bacterial assembly reflects the partial recruitment of surrounding representatives depending on environmental variables. To our knowledge, this study provides the first characterization of the microbiome of the marine polychaete M. palmata.
2 Materials and methods
2.1 Description of the study area
The North-Western part of the Black Sea receives 80% of the basin’s total freshwater input originating from the Dnieper, Dniester and Danube, the latter being the major contributor of freshwater and sediment inputs (Mikhailov and Mikhailova, 2008). The Danube River is the second European largest river basin, covering territories of 18 states including EU-Member States, Accession Countries and other countries (ICPDR, 2004). Romanian coastal waters are subject to Danube inputs, which provide significant organic and inorganic matter, the mean annual river flow recorded form all three main branches being of 6500 m3 s−1. The direction, range and depth of dispersion of the Danube waters are dependent on the intensity of water flow and wind direction. North and northeast winds are dominant during spring, reaching average speeds of 5.5 m s-1, while during autumn, north winds predominate, with an average speed of 8.0 m s-1 (Tescari et al., 2006). According to Panin and Jipa (2002), the average sediment discharge from the Danube into the Black Sea is estimated to range between 25 and 35 million tones/year, with sandy material accounting 4-6 million tonnes/year. The study area is located within the marine protected area ROSCI0066 (Danube Delta - marine zone), included in Natura 2000 European ecological network (Figure 1A).
Figure 1 Study area and investigated organism. (A) Map of Black Sea sampling locations and detailed sampling sites area (B) Melinna palmata specimens collected from the Black Sea (photo by photo by A. Teacă); (C) Sediments collected from the Black Sea studied area containing M. palmata (photo by photo by A. Teacă).
The major habitat of the investigated area is represented by Circalittoral muds with Melinna palmata. The total benthic communities of this area comprise a diverse assemblage of deposit feeders and suspension filters, such as oligochaetes, polychaetes (Mellina palmata, Heteromastus filiformis), molluscs (Mytilus galloprovincialis, Spisula subtruncata, Abra nitida, Pitar rudis, Acanthocardia paucicostata), and bacteriouvorus nematodes (Terschellingia longicaudata, Sabatieria pulchra, S. abyssalis, Neochromadora izhorica, Desmolaimus sp.) (Mureşan and Teacă, 2019; Teacă et al., 2020). Among these, M. palmata represented more than 42% of the total average macrozoobenthic density (Mureşan et al., 2019; Mureşan and Teacă, 2019; Teacă et al., 2019; Teacă et al., 2020).
2.2 Sample collection
Sediment samples were collected using a Box Corer with a surface of 0.1 m2 (Todorova and Konsulova, 2005) from four different sites located in the Romanian northwestern continental shelf of the Black Sea, during June 2020 (Figure 1A). In order to assess the microbial communities from M. palmata individuals (Figure 1B) and sediments (Figure 1C), two subsamples were collected from each site. The sedimentary material was collected in sterile containers after discarding the fraction in contact with the sampling equipment, and stored at -20°C. For polychaete isolation, sediment particles were removed using 250 μm and 125 μm mesh sieve. Each specimen selected was washed with sterile water and stored in 200 μl Tris-EDTA pH 8 buffer at −20°C for genetic analyses (Ross et al., 1990).
2.3 Physicochemical parameters
In situ measurements of temperature, salinity, dissolved oxygen (DO) and pH of water above the seabed (bottom layer) were performed for each location with an EXO2 multi-parameter probe (YSI Incorporated, Yellow Springs, USA). The salinity was expressed in practical salinity units (PSU) corresponding to parts per thousand (PPT).
2.4 DNA Extraction, 16S rRNA gene sequencing and sequence analysis
Total DNA was extracted from two sediment samples and two Melinna palmata individuals from each site using DNeasy Blood and Tissue Kit (Qiagen, Hilden, Germany) following an optimized protocol that includes an initial cell disruption step (Iancu et al., 2015). Tissue samples were resuspended into Tris-EDTA buffer pH 8 and homogenized at 20°C for 12 min in a SpeedMill PLUS cell homogenizer at 50 Hz (Analytik Jena, Jena, Germany) in the presence of 5 ZR BashingBead 0.2 mm lysis matrix (Zymo Research, Irvine, CA, USA), and further processed according to the manufacturer’s protocol. For sediment samples, DNA was isolated using DNeasy PowerSoil Pro Kit (Qiagen, Hilden, Germany) following the manufacturer’s instruction.
Sequencing of the amplified V3-V4 region of the 16S rRNA genes was performed using 341F/805R primer pair (Takahashi et al., 2014) and an Illumina MiSeq 300PE platform (Macrogen, Seoul, South Korea).
The resulted DNA sequences were processed using the DADA2 package v1.8) implemented in R (v4.0.2) (Callahan et al., 2016). After removing the forward and reverse primers sequences using cutadapt (v4.2.2) (Martin, 2011), the sequences were trimmed and filtered. Amplicon Sequence Variants (ASVs) were inferred from de-replicated sequences, and chimeras were removed using the “consensus” method. Taxonomic assignment of the ASVs was performed using the Silva v138 16S rRNA database (silva.nr.v138). Analyses were carried out using MicrobiomeAnalyst 2.0 (Lu et al., 2023).
Pattern Search was used to for sequence assignment to phylum Cyanobacteria. The putative functional profile was obtained by mapping the gene abundance as predicted from Tax4Fun2 according to KEGG metabolism (Lu et al., 2023).
The 16S rRNA gene sequences of the bacteria from M. palmata tissues and adjacent sediments of the 16 samples (MP1-MP16) (Table 1) were deposited in the NCBI SRA Sequence Read Archive under the BioProject PRJNA923146.
Table 1 Sampling sites and collected samples of Melinna palmata .
2.5 Statistical analyses
Alpha and Beta diversities were calculated using the pyloseq package (McMurdie and Holmes, 2013). Alpha diversity of ASVs was evaluated based on Chao1, Shannon, Evenness, and Fisher indices. Bray-Curtis dissimilarity was used to assess the Beta diversity, in order to compare the diversity between samples and microbial communities. Non-metric multidimensional scaling (NMDS) was used to visualize the 2-D matrix where each point represents the entire microbiome of a single sample. The statistical significance (p < 0.05) of the clustering pattern in ordination plots was evaluated using Analysis of group Similarities (ANOSIM) and Permutational multivariate analysis of variance (PERMANOVA). Multiple Linear Regression with Covariate Adjustment was used to find associations between the microbial community structure and the physicochemical water parameters using MaAsLin2. All statistical analyses were conducted using MicrobiomeAnalyst 2.0 (Lu et al., 2023).
A correlation analysis based on SECOM (Pearson 1) between abundances in the two matrices was performed (Lin et al., 2022). The principal Component Analysis (PCA) was performed using tidyverse and ggplot2 packages in R v4.2.3. (Wickham, 2016; Wickham et al., 2019; R Core Team, 2023). Student’s t-test was used to compare the means of gene abundance between the two types of samples (Wickham, 2016; Mishra et al., 2019; R Core Team, 2023).
3 Results
3.1 Characteristics of Melinna palmata habitat
Sediment samples containing M. palmata Grube, 1870 specimens were collected from 4 sites which formed a perimeter with an area of about 25 km2, with the minimum distance of 6.8 km (between P2-25 and P3-30) and a maximum distance of 14 km (between P8-35 and P2-40) located along the Romanian shore of the Black Sea, where the water depth ranged from 24.2 m to 45.5 m (Figure 1A, Table 1).
The seabed from all sampling locations consisted of mud sediments originating from alluvial deposits made of silt and clay particles.
The physicochemical properties of the sea water showed little variations between the sites (Table 2). Water temperature varied between 9.05°C (P2-40) and 14.80°C (P2-25), with an average of 11.63 (± 2.40) °C. The average salinity was of 17.97 (± 0.38) PSU, with a minimum of 17.60 PSU at station P2-25 and a maximum of 18.49 PSU at station P2-40 (Table 2). The dissolved oxygen concentration had a slight increasing trend with the water depth, between 4.40 mg L-1 and 6.48 mg L-1 at P3-30 and P2-40, respectively, with an average of 5.32 (± 0.94) mg L-1. A slightly alkaline pH was measured all 4 stations with an average value of 8.05(± 0.12), varying between 7.90 (at P3-30 station) and 8.20 (at P8-35 station) (Table 2).
Table 2 Physicochemical parameters of the seawater collected from the Black Sea sampling sites.
3.2 Bacterial diversity in M. palmata tissues and sediments
The microbial diversity and community structure of M. palmata tissues and surrounding sediments were determined from the duplicate samples (Table 1) collected from the Romanian Black Sea coast based on Illumina sequencing of the 16S rRNA gene. The total number of DNA sequences (134975) corresponded to 1444 unique bacterial amplicon sequence variants (ASVs). Rarefaction curves of both analyzed matrices showed a complete identified bacterial community, thus capturing a representative portion of the microbial diversity present in samples (Supplementary Figure S1).
Alpha diversity analysis of the tissue and sediment associated bacteria based on Chao1 index showed significant differences between the analyzed group (p-value 0.0249; Table 3, Supplementary Figure S2). The microbiome of all sediment samples exhibited higher microbial diversity, with Chao1 index values ranging from 401 to 647.1 and a mean of 554.8 ± 27. Meanwhile, this diversity index varied within the 295.6 - 628.1 interval, with a mean value of 425.9 ± 43.6 in the case of tissue-associated bacterial communities (Table 3). No major variation was observed between bacterial diversity at different depths (Supplementary Figure S2B). The corresponding calculated Fisher indices (Table 3) reflected a similar trend (p-value 0.0229), showing a slightly lower diversity for M. palmata associated bacteria (average of 97.37 ± 11,19) as compared to that of the adjacent sediments (average 130.3 ± 6.38). Slight variation of these diversity indices was observed between samples and within the replicate groups (Table 3). The calculated Shannon indices showed higher values for both tissue and sediment associated bacteria with no significant differences. Furthermore, no statistically significant variations between these communities along the depth gradient was observed (Chao1 p-value: 0.61761; [ANOVA] F-value: 0.61619; Shannon p-value: 0.47727; [ANOVA] F-value: 0.88328).
Table 3 Number of reads, ASVs and alpha diversity indices of bacterial communities from M. palmata tissue and associated sediments with statistical comparison (p-values).
The multidimensional beta diversity analysis of the microbial communities in relation with the type of matrices showed significantly different diversity and relative abundance between the polychaete tissue and the sediment samples ([ANOSIM] R: 0.77623; p-value < 0.001 [NMDS] Stress = 0.061336) (Figure 2), and [PERMANOVA] F-value: 4.6741; R-squared: 0.2503; p-value: 0.001.
Figure 2 Multidimensional analysis (ANOSIM) of the beta diversity of bacterial communities from tissues and sediments, based on ASVs. The sample depth (number) is indicated for each sample.
[NMDS] Stress = 0.061336 (Supplementary Figure S3), with higher differences among tissue samples.
3.3 Bacterial taxonomic profile in M. palmata and associated sediments in relation with environmental factors
Taxonomic assignment of bacterial community from M. palmata tissue led to identification of 12 phyla, 14 classes, 26 orders, 26 families and 30 genera, while the adjacent sediments microbiota contained 12 phyla, 19 classes, 34 orders, 29 families and 36 genera. Among these, 14 classes were common to the invertebrate and its habitat, while Fusobacteriia, ABY1, Thermodesulfovibrionia, Parcubacteria and Phycisphaerae were identified only in sediments.
At phylum level, the tissue-colonizing bacteria were dominated by Proteobacteria (16541 ASVs), followed by Actinobacteriota (14171 ASVs), Cyanobacteria (11419 ASVs) and Chloroflexi (6330 ASVs), accounting for a total of 62276 ASVs (Figure 3A). Meanwhile, the sediment communities totaling 72696 ASVs was mostly represented by Actinobacteriota (28581 ASVs) and Chloroflexi (18968 ASVs), with a lower abundance of Proteobacteria (7682 ASVs) and Campylobacterota (6924 ASVs). The relative content of phylum Fimicutes was similar in both tissues and sediments, accounting for 2576 and 2572 ASVs of total reads, respectively, while Planctomycetota taxa were more prominently represented in tissues (5951 ASVs vs. 2887 ASVs, respectively). Also, low presence of phyla Fusobacteria, Nitrospirota and Patescibacteria (less than 250 ASVs for each group) have been observed in sediments (Figure 3A).
Figure 3 Relative abundance profile of bacterial communities colonizing sediments and tissues of M. palmata at Phylum (A), Order (B), and Genus (C) levels.
At order level, 24 taxa were found in both polychaete and sediments, with Rhodospirillales and Lachnospirales exclusively identified in tissues, and Christensenellales, SJA_15, B2M28, Phycisphaerales, Ectothiorhodospirales, Frankiales, Candidatus Kuenenbacteria, Candidatus Moranbacteria, Candidatus_Magasanikbacteria and Fusobacteriales only in sediments. At family level, 23 taxa were shared, while Butyricicoccaceae, Lachnospiraceae and Magnetospiraceae representative were specific for tissues and Ectothiorhodospiraceae, Acidothermaceae, Phycisphaeraceae, Hungateiclostridiaceae, Fusobacteriaceae and Christensenellaceae found only in sediments. Among these, Synechococcales (10948 ASVs), Rhodobacterales (10173 ASVs), Actinomarinales (7414 ASVs) were the most prominent representatives in M. palmata tissues, while Micotrichales (21239 ASVs), Anaerolineas (9660 ASVs), Caldilineales (8042 ASVs) and Campylobacterales (6924 ASVs) recorded higher relative abundances in sediments (Figure 3B).
From the 36 identified bacterial genera, 28 were common to both types of samples. The tissue-colonizing bacteria were assigned to 30 genera Butyricicoccus and Ruminococcus species were present only in the polychaete tissues, while those associated with sediments belonged to 36 different genera with Hoeflea, Clostridium_sensu_stricto_13S, M1A02, Candidatus Alysiosphaera, Psychrilyobacter, Levilinea, Thiogranum and Acidothermus species exclusively found in these samples (Figure 3C). Among these, species belonging to genera Ilumatobacter (163210ASVs) and Sulfurovum (6924 ASVs) were dominant in the sediments, while notable abundance of Synechocossus-CC9902 (8866 ASVs) was recorded in tissues (Figure 3C).
To assess the effect of the habitat depth on the M. palmata-associated bacterial communities and related sediments, the core microbiome of phyla with a higher prevalence than 10% from both tissue and sediments was analyzed for each sampling site (Supplementary Figure S4). No notable differences between the relative abundance of major taxa were observed between communities collected from variable water depth, with the highest presence in all cases of Actinobacteriota taxa, followed by Chloroflexi, Proteobacteria, and Planctomycetota, and the lowest representation by phylum Nitrospirota (Supplementary Figure S4).
Pearson analysis of phyla abundances from the two types of samples showed the correlation between the top features (bacterial taxa) ranked by their significance according to the cutoff p-value (0.05) and correlation threshold (0.3) (Figure 4). Specifically, Verrucomicrobiota taxa positively correlated with Planctomycetota, both much more abundant in tissues, while bacteria belonging to phylum Desulfobacterota positively correlated with Nitrospinota and Sumerlaeota taxa highly represented in sediments. Meanwhile, a negative correlation was observed between phyla Nitrospirota and Planctomycetota, as well as between Verrucomicrobiota and Actinobacteriota (Figure 4).
Figure 4 Pearson correlation analysis of relative abundance of bacterial phyla associated with sediments and tissues. Phyla connected by an edge (line) correspond to a correlation between them for p-value cutoff (0.05) and correlation threshold (0.3). The connection length reflects the magnitude of the significant correlation (shorter lengths corresponding to stronger correlations), and the diameter corresponds to the relative abundance of each taxon.
The impact of sea water parameters on the community structure was evaluated by a Multiple Linear Regression analysis showing a significant correlation between Cyanobacteria representatives and DO concentration (p-value 0.0188), with considerable relative abundance of these communities registered at 4.75 mg L-1 dissolved oxygen in shallow waters (Figure 5). Meanwhile, no significant correlation between other taxa and physicochemical parameters was observed (Supplementary Table S1).
Figure 5 Correlation between Cyanobacteria phylum distribution and dissolved oxygen (DO) concentrations of sea water (abundance is expressed in ASVs).
Moreover, a positive pattern correlation between Cyanobacteria phylum and representatives of phylum Planctomycetota colonizing tissues has been identified (Pearson r = 0.89083; p-value: 3.6972e-06), while a negative correlation has been observed between the former group and Actinobacteriota (Pearson r = 0.76177; p-value: 0.00060532) and with Chroloflexi (Pearson r = -0.62317; p-value: 0.0099101) from sediments, respectively (Supplementary Figure S5).
3.4 Predicted functional profile of the microbiome of M. palmata and sediments
Based on the taxonomic profile and sequence analysis of the ASVs from 16S rRNA metagenomics, an estimated metabolic profile of both M. palmata tissue and sediments bacterial communities was generated, in order to evaluate putative contribution of the sediment substrate to the polychaete microbiota (Figure 6).
Figure 6 Predicted functional profile of bacterial communities from tissues and sediments based on the gene abundance from KEGG metabolic pathways. (A) Number of predicted functional genes based on amplicon sequence variants (ASVs) from the analyzed matrices (B) diversity of functional genes in the analyzed matrices based on PCA analysis.
Analysis of the predicted functional profile of these microbiomes showed no major differences between the distribution of relative abundance of various genes in accordance with the KEGG (Kyoto Encyclopedia of Genes and Genomes) metabolic pathways, with the prevalence of the amino acid and carbohydrate metabolism across all examined samples (Figure 6A).
Nevertheless, the statistical analysis (Student’s t-test) indicated a higher content of genes involved in carbohydrates, amino acids, lipid, terpenoids and polyketides metabolism along with the those associated with biodegradation and metabolism of xenobiotics (p-value < 0.05) in the polychaete symbiotic bacteria relative to the prokaryotic community from adjacent sediments. Meanwhile, genes related to biosynthesis and metabolism of lipids, terpenoids, polyketides, nucleotides, cofactors, vitamins, energy, glycans, and other secondary metabolites were evidenced in both the tissue-associated and sediment microbiomes (Figure 6A).
A Principal Component Analysis (PCA) of predicted functional genes indicated differences between the gene functionality diversity of the analyzed matrices (Figure 6B). These findings are in accordance with the outcomes of the NMDS analysis (Figure 2), providing further support for the observed differentiation in genes functionality resulting from the comparison between distinct communities, namely tissues and sediments.
Despite the significant diversity differences between M. palmata and sediments-associated bacteria, their predicted metabolic profile based on 16S rRNA taxonomic data could suggest only limited variances between the two communities. Further investigations of these communities by metagenomics and metatranscriptomics are required to highlight the metabolic variability of the polychaete microbiome in relation with that of its substrate, and untangle their putative ecological role.
4 Discussion
The current investigation reported original data on the tissue microbiome from the marine polychaete Melinna palmata from the Black Sea, Romania, in relation with the bacterial community of the adjacent sediments. For this invertebrate, a recent study conducted in Arcachon Bay (French Atlantic coast) (Massé et al., 2019) described the aerobic bacterial community composition colonizing the surrounding sediments of this ampharetid polychaete, while so far no investigations have been carried out on the tissue-associated microbiome. In this survey, we applied a culture-independent method based on 16S rRNA gene Illumina sequencing of the bacterial community inhabiting the tissues of M. palmata collected from various depths in the Romanian Black Sea sediments in comparison with that of the sediments of collected specimens. The community composition of both analyzed matrices did not show notable changes along the sea depth gradient between 24.2 and 45.8 mm, most likely as a result of similar environmental characteristics in the studied areas (Teacă et al., 2020).
Our findings demonstrated that M. palmata harbors a distinct microbiome as compared to that of its habitat, which is consistent with other similar surveys on three sipunculan worms species (Sipunculus nudus, Siphonosoma australe, Phascolosoma arcuatum) from Beibu Gulf, Changhua River and Guangcun that showed a significantly lower microbial diversity as compared to that of their surrounding sediments (Li et al., 2023; Liu et al., 2023). The reported diversity of microorganisms associated with benthic invertebrates, such as worms, was generally lower as compared to its surrounding sediments (Liu et al., 2023). Thus, the tube-dwelling organisms often create microenvironments with particular conditions which might favor the colonization with specific bacterial communities (Fuirst et al., 2021). Moreover, sediments belong to a more heterogeneous and diverse set of microhabitats, creating a range of niches that can support a wider diversity of bacterial communities (Liu et al., 2023). It has been previously demonstrated that nematodes and macroinvertebrates contributed to the dynamics of bacterial populations (De Mesel et al., 2004; Plante et al., 2022). Free-living nematodes, mainly those inhabiting the rich organic sediments, are non-selective or selective deposit bacterivorous feeders that excrete mineral or readily mineralizable forms that otherwise would have been locked up in the microbial biomass after nutrients ingestion, which exceeds in general the requirements of nematodes (Bonaglia et al., 2014). Moreover, their mucus was shown to stimulate the nitrogen production which, in turn, provided substrate for microorganisms’ activity and growth (Moens et al., 2005). In contrast, macrozoobenthic deposit feeders processed large volumes of sediment. Recent studies showed that the selective and non-selective deposit feeder nematodes and macrozoobenthic species were the dominant species, both as diversity and abundance, of habitats directly impacted by the Danube’s inputs (Mureşan and Teacă, 2019; Teacă et al., 2020). Bioturbating organisms, such as Melinna sp., were reported to play a substantial role in the nitrogen cycling of sediments and exchanges between sediment and seawater (Laverock et al., 2011). This could be due to their burrow ventilation and particle reworking activities which lead to the redistribution of organic material and increase of sediment–water interface (Kristensen et al., 2012). Recent data indicated that the aerobic bacterial community of M. palmata habitats was more diverse as compared to that of the undisturbed sediments (Massé et al., 2019). Moreover, the mucus secreted by invertebrates appeared to stimulate the growth of bacterial and archaeal ammonia oxidizers, fostering a more abundant and distinct microbial community (Dale et al., 2019).
In M. palmata tissues, the orders Synechococcales, Rhodobacterales, Actinomarinales, Rhizobiales, Planctomycetales, Pirellulales, and Clostridiales showed a higher relative abundance, while sediments were dominated by Microtrichales, Anaerolineales, Caldilineales and Campylobacterales species. Synechococcales (Cyanobacteria) species that inhabit various ecological habitats are able to perform nitrogen fixation (Foster and O’Mullan, 2008) and create symbiotic relationships with other benthic invertebrates (Kumar and Kumar, 2020) such as sponges (Erwin and Thacker, 2008), ascidians (Tianero et al., 2015), and mollusks (Zhukova et al., 2022). In the current study, high content of Cyanobacteria taxa was found in shallow water sediments strongly influenced by the Danube inputs, at low dissolved oxygen levels. As photoautotrophic primary producers, they contribute to sediment enrichment with organic matter, while reducing the levels of atmospheric and hydrospheric carbon dioxide and bicarbonate (Golubic et al., 2000). In addition, Siynechococcus species were found associated with sipunculan worms, which might be an important food source for these species (Li et al., 2023; Liu et al., 2023). Therefore, the prevalence of these microorganisms in the M. palmata tissues might be also linked to the dietary requirements of this invertebrate. As deposit-feeding organisms, they acquire substantial amounts of sediment, potentially incorporating organic debris and microbes along with it (Lopez and Levinton, 1987). Furthermore, frequent algal blooms in the Danube influence area could affect the sea water microbiome during summer (Raport privind starea mediului in Romania in anul 2019, 2020). Due to this phenomenon, the occurrence of phylum Planctomycetota, represented in tissues by phylotypes belonging to orders Planctomycetales and Pirellulales, was also expected. These bacteria able to use polysaccharides as carbon and energy sources, were also detected in other marine organisms such as sponges (Kallscheuer et al., 2020), fish (Kormas et al., 2022), and other polychaete (Liu et al., 2023).
The presence of Rhodobacterales and Rhizobiales taxa belonging to phylum Proteobacteria could be associated with their involvement in the carbon cycling, being able to assimilate glyocolate, one of the most abundant organic carbon sources in the ocean (Von Borzyskowski et al., 2019). Rhodobacterales representatives were identified in different invertebrate species such as Capitella sp. and its surrounding organic-enriched sediments (Kunihiro et al., 2011). In the case of M. palmata, the prevalence of this group could be associated with its specific habitat represented by rich organic sediments (Bucşe et al., 2020; Teacă et al., 2020), suggesting the possible involvement in decomposing and incorporating the organic matter within the organically enriched sediments. Rhodobacterales were positively correlated with some of the most abundant organic pollutants from sediments such as polycyclic aromatic hydrocarbons (PAHs) (Rodríguez et al., 2021). These compounds were detected in high concentrations in benthic fish populating the Romanian Black Sea coast (Damir et al., 2022) that feed also with Melinna, which could indicate the functional role of Rhodobacterales within tissues. Moreover, Anaerolineales order (Chloroflexi) that was higher represented in sediments has been reported as highly abundant in polluted sediments (Rodríguez et al., 2021). Therefore, these bacteria may be used as bioindicators of high levels of particular pollutants. Moreover, some invertebrates (i.e. the marine polychaete Meganerilla bactericol) were reported to obtain bioavailable nitrogen from symbioses with diazotrophs such as Rhizobiales (Summers et al., 2013) by temporary or permanent intracellular interactions with symbionts passed between generations (Fiore et al., 2010). Also, the higher presence of Clostridiales in Melinna tissues was in accordance with the previously reported dominance of Firmicutes taxa in the gut microbiome of several marine invertebrates (Priscilla et al., 2022).
A high representation of Actionomarinales in Melinna tissue could be due to the adaptation of some of Actinobacteria taxa to colonize marine organisms such as sponges, molluscs, and polychaete tubes, constituting important sources for natural products with pharmaceutical applications (Konig et al., 2006; Fuirst et al., 2021). Meanwhile, the order Microtrichales of Actinobacteria showed a higher relative abundance within sediments. A recent study (Miksch et al., 2021) revealed that members of these heterotroph bacteria, along with Actinomarinales, inhabit muddy bottoms, suggesting their putative involvement in the carbon mineralization processes. The occurrence of Campylobacterales might be related to the low dissolved oxygen concentrations of the study area (Table 2), which is in line with other reports of their presence in marine sediments, usually in habitats characterized by low oxygen/sulfide ratios (Wirsen et al., 2002).
Based on the 16S rRNA gene sequence data obtained, the TAX4FUN tool was used for predicting the functional profiles of bacterial communities associated with the polychaete and sediments, while many questions are raised in the ecology of this ecosystem requiring information on the community function in addition to their taxonomic composition. However, the accuracy of this approach depends on the available genomic information from public databases, which, in many cases, do not represent the microorganisms of the investigated ecosystem (Wemheuer et al., 2020). In addition, the approach used in our survey cannot differentiate the DNA sequences of live and dead organisms, which may impact the accurate inference of the metabolic profile of the analyzed microbial communities, with consequential ecological implications (Wang et al., 2023).
Although the predicted functional profile did not reflect the taxonomic differences found between the communities associated with the polychaete and sediments, the deduced metabolic profile of the M. palmata bacterial community was in accordance with previous data demonstrating that several marine bacteria play a significant role in amino acid cycling and utilization (Mudryk et al., 2005; Wünsch et al., 2019). In this context, antimicrobial peptides were isolated from various marine invertebrates such as the worms Arenicola marina (Ovchinnikova et al., 2004) and Nereis diversicolor (Tasiemski et al., 2007), and from the oyster Magallana gigas (Zhang et al., 2018). The current investigation also evidenced the amino acid metabolism as the dominant function among bacteria colonizing both matrices. The dominant species identified in M. palmata tissue belonging to Rhodobacterales and Synechoccocales are known to be involved in the cofactors metabolism, being capable to synthesize thiamine (vitamin B1), riboflavin (vitamin B2) and cobalamin (vitamin B12) (Cooper et al., 2018; Mills et al., 2020). Moreover, representatives of Verrucomicrobiota, mainly present in Melinna tissues, could play an important role in nutrient cycling, with putative applicative potential in biotechnologies (Cardman et al., 2014), and represent good candidates for production of secondary metabolites and exopolysaccharides (EPS) (Feng et al., 2021).
The higher prevalence of genes involved in carbohydrate, amino acid, and lipid metabolism within tissues could suggest an enhanced capacity for nutrient processing, thereby contributing to the energy metabolism of the polychaete. This metabolic capacity likely plays a crucial role in supporting the organism’s growth, reproduction, and other physiological processes. Previous studies indicated that genes associated with terpenoid and polyketide metabolism are frequently linked to the production of secondary metabolites, which serve various ecological functions such as defense against predators or competition with other organisms (Osbourn, 2010). Also, microorganisms such as bacteria and fungi have distinct properties that allow them to metabolize xenobiotic substances either partially or entirely in various ecosystems (Miglani et al., 2022). Therefore, the presence of genes involved in xenobiotics biodegradation and metabolism suggests that the polychaete may have evolved a strategy for detoxification and tolerance to potentially harmful substances and expression of these genes could be a response to exposure to pollutants present in sediments.
The current data revealed that M. palmata harbors a distinct but significantly lower bacterial diversity as compared with its surrounding sediments, with no prominent differences between the communities along the depth gradient of their habitat. Phylum Proteobacteria dominated the tissue-colonizing bacteria, while Actinobacteriota prevailed in the sediment communities. This investigation showed that bacterial communities colonizing the invertebrate and its surrounding sediments are involved in various metabolic processes, from biosynthesis to degradation of different xenobiotic substances. Overall, this first characterization of the M. palmata microbiome can serve as a starting point for revealing the role of associated bacterial communities in the polychaete metabolism and their interchange dynamics within marine habitats.
Data availability statement
The original contributions presented in the study are publicly available. This data can be found here: https://www.ncbi.nlm.nih.gov/bioproject/PRJNA923146/.
Ethics statement
The manuscript presents research on animals that do not require ethical approval for their study.
Author contributions
SM: Conceptualization, Formal Analysis, Investigation, Methodology, Writing – original draft. PL: Data curation, Formal Analysis, Software, Writing – original draft. TB: Funding acquisition, Investigation, Methodology, Resources, Writing – review & editing. MM: Investigation, Resources, Writing – original draft. AT: Investigation, Software, Writing – review & editing. CP: Conceptualization, Funding acquisition, Methodology, Project administration, Supervision, Writing – original draft.
Funding
The author(s) declare financial support was received for the research, authorship, and/or publication of this article. The study was financially supported by the UEFISCDI ERANET-MARTERA-MOBILTOX-2-224/2021 grant and PNCDI III AMBI AQUA no. 23PFE grant, the Romanian Academy project RO1567-IBB05/2022, the Romanian Ministry of Research CORE Programme project PN 23300202; the European Union Horizon Europe project MARCO-BOLO, grant agreement no. 101082021, the European Union H2020 project DOORS, grant agreement no. 101000518, and the European Commission POIM project SMIS Code 123322, contract no. 253/18.06.201.
Acknowledgments
The authors thank Lavinia Iancu for technical support.
Conflict of interest
The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.
The author(s) declared that they were an editorial board member of Frontiers, at the time of submission. This had no impact on the peer review process and the final decision.
Publisher’s note
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Supplementary material
The Supplementary Material for this article can be found online at: https://www.frontiersin.org/articles/10.3389/fmars.2023.1279849/full#supplementary-material
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Keywords: Melinna palmata microbiome, invertebrates bacteria, Black Sea sediments, marine polychaete, illumina sequencing, 16S rRNA gene
Citation: Menabit S, Lavin P, Begun T, Mureşan M, Teacă A and Purcarea C (2024) First screening of bacteria assemblages associated with the marine polychaete Melinna palmata Grube, 1870 and adjacent sediments. Front. Mar. Sci. 10:1279849. doi: 10.3389/fmars.2023.1279849
Received: 21 August 2023; Accepted: 18 December 2023;
Published: 08 January 2024.
Edited by:
Zhiyong Li, Shanghai Jiao Tong University, ChinaReviewed by:
Xiaoshou Liu, Ocean University of China, ChinaOla A. Olapade, Albion College, United States
Copyright © 2024 Menabit, Lavin, Begun, Mureşan, Teacă and Purcarea. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
*Correspondence: Cristina Purcarea, cristina.purcarea@ibiol.ro