Biodiversity Data Journal :
Research Article
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Corresponding author: Dmitrij Shpanov (1pechencka1@gmail.com)
Academic editor: Andreas Beck
Received: 08 Jan 2024 | Accepted: 29 Jul 2024 | Published: 21 Aug 2024
© 2024 Ivan Zubov, Dmitrij Shpanov, Tamara Ponomareva, Andrey Aksenov
This is an open access article distributed under the terms of the Creative Commons Attribution License (CC BY 4.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
Citation:
Zubov I, Shpanov D, Ponomareva T, Aksenov A (2024) Bog bacterial community: data from north-western Russia. Biodiversity Data Journal 12: e118448. https://doi.org/10.3897/BDJ.12.e118448
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Wetlands occupy up to 35% of the boreal biome in Russia, according to various estimates. Boreal bogs are global carbon sinks, accounting for more than 65% of the soil carbon stored in the wetland ecosystems of the world. The decomposition of plant residues is one of the most important components of the carbon cycle in wetland systems, while the violation of their fragile balance due to climate change increases the rate of mineralisation of organic matter and releases large amounts of carbon to the atmosphere. The biochemical processes occurring in a peat deposit determine the intensity of the destruction of organic matter and gas exchange. However, the microbial communities of the boreal ombrotrophic bogs, regulating those processes, are poorly studied.
Hence, a study of the prokaryote communities of the peat deposits of the southern White Sea coastal ombrotrophic bogs (mostly spread in north-western Russia) was carried out. The taxonomic composition of archaea and bacteria sampled from the deposit’s depth of 0–310 cm was studied using high-throughput sequencing of V4 sites of 16S rRNA gene by Illumina technology. As a result, 105 species belonging to 19 phylums were identified. The dominant specific phyla were Pseudomonadota, Acidobacteriota and Verrucomicrobiota, the non-specific phylum being Desulfobacterota. Various groups of methanogenic, methylotrophic and nitrogen-fixing microorganisms were identified. Shannon's biodiversity ranged from 3.5 to 4.6 and ChaO1 - from 232 to 351, decreasing within the depth.
barcode amplicon sequencing, 16S rRNA gene, prokaryote, high-moor peat, bog, biodiversity, north-western Russia
Wetlands are biologically productive ecosystems, having a significant impact on carbon cycling, water storage and greenhouse gas emissions. The land area occupied by them exceeds 4 million km2, with 80% of the area located in the temperate zone of the Northern hemisphere (
The wetlands of the boreal biome are estimated to reach 35 % of the area, with bogs being the most common among them (
Biochemical processes occurring in a peat deposit determine the intensity of the degradation of organic matter and of gas exchange. These processes depend on functioning of microbial communities, especially bacteria - the most abundant group of micro-organisms in a peat deposit (
The advent and development of next-generation sequencing technology (NGS) and, in particular, the spread of Illumina-SOLEXA method allowed the mass production of short reads of 16S rRNA gene clone amplified libraries, which greatly improved the understanding of the composition of microbial communities in natural biomes (
The study investigates taxonomic and quantitative characteristic of prokaryotes throughout the deposit down to 310 cm depth. The studied peat deposit (ombrotrophic bog complex) is located in the European part of the boreal zone of the Russian Federation.
Being part of the bog system «Ilasskoe», the Ilas Bog Massif has been selected as the study plot, representing the southern White Sea coastal ombrotrophic bogs. It has a combination of microtopes standing for integrated ridge-hollow-pool and integrated ridge-pool mesotopes with oligotrophic vegetation type on ridges and in hollows. The bog system spans more than 90 km2: 17 km from West to East and for almost 7 km from North to South. The plot is located 30 km south-south-west of Arkhangelsk, in the highly boggy part of the northern sub-zone of the taiga, on the watershed of three rivers: Brusovica, Shuhta and Ilas (northern Dvina River Basin).
The climate of the region is temperate cold, slightly continental Atlantic-Arctic with a pronounced influence of the White and Barents Seas. The influence of air mass transfer from the Atlantic Ocean is also noted. The average annual temperature is +1.9˚C, with a maximum in July (16.5˚C) and a minimum in January (-11.6˚C). The mean annual precipitation is 634 mm and 53% of annual precipitation (296 mm) occurs in the warm season (May–September). The average number of days with stable snow cover is 180; the maximum snow depth is observed in March (102 cm). The Ilas Bog Massif area is 595 hectares and is an ombrotrophic bog (Fig.
The study plot is located in the centre of the ridge, which is about 30 cm high, 7-12 m wide and formed perpendicular to the waterflow direction. The ridges’ occurrence is about 20%. This is formed by tree base mounds and peat hillocks. The plant community of the selected site of the ridge belongs to the Scots pine-dwarf shrub-Sphagnum type. The tree layer is represented by rare single Scot pine trees (Pinus sylvestris f. Litwinovii L.). The crown density of the tree layer on the ridges is 0.2-0.3. Average stand height is 2.4 m, average diameter is 4.3 cm and the average age is 189 years. The shrubs are represented by rare plants of dwarf birch (Betula nana L.). The projected cover of the grass-dwarf shrub layer reaches 45%. The grass-dwarf shrub layer is dominated by Andromeda polifolia L., Calluna vulgaris (L.) Hull and Empetrum hermaphroditum L. The moss-lichen layer has a projected coverage of up to 80% and is predominantly formatted by Sphagnum fuscum H.Klinggr. and lichens of the genus Cladonia. An overview of the Ilas Bog Massif ridge-hollow mesotope is given in Fig.
The field observation proves the homogeneous botanical composition of the peat deposit. Its thickness reaches 3.5 m. The underlying rocks are moraine loam and clay. The groundwater level changed during the study period from 0 cm during the period of active snowmelt and heavy precipitation to -33 cm during the summer low-water period (mid-July).
The peat was sampled by a layer-by-layer drilling method using a peat sampler made of stainless steel P 04.09 (0.5 m chamber length, 5.0 cm inside diameter by EIJKELKAMP, Netherlands) from a depth of 0-310 cm and was aseptically packed. Analyses were carried out using the integral 10 cm thick samples (mixed from 3 peat cores) (
The samples were prepared and fixed simultaneously. A soil suspension was prepared at a ratio of 1:100 (1 g of peat per 100 ml of 0.85% NaCl solution). Later, it was treated on the orbital shaker LS 110 («LOIP», Russia) for 30 minutes at 170 RPM for the dissection of large pieces of substrate. The sample was additionally dispersed by the ultrasonic UZV-5.7 («Sapphire», Russia) (3 min, frequency 35 kHz) (
The total number of microorganisms was determined by a luminescent microscopic method with concentration of cells on MCE black mesh membrane filters with a pore size of 0.22 µm («Hawach Scientific», China) (
The humidity of peat and the volume of solutions (the fixator and the isotonic 0.85% NaCl used for dilution) were taken into account to calculate the total number of microorganisms. The resulting value was the number of cells per 1 g of a completely dry substrate (cells/g).
The DNA was extracted from the mixed samples, following the RIAM protocol (
Deep sequencing of the above-mentioned library of amplicons of the 16S rRNA gene fragment was performed to analyse the taxonomic structure of the soil microbiome. A library using 515F/806R primers, along with linker and unique index, was prepared using the thermocycler T100 (BIO-RAD Laboratories, Heracles, California, USA) containing 0.5 units of high precision DNA polymerase Q5® (New EnglandBioLabs, Ipswich, Massa Chucets, USA), the 1X reactive buffer Q5, 5 μm of each primer, 2 mm dNTP (LifeTechnologies, Carlsbad, California, USA) and 1-5 ng DNA matrices. The PCR programme included a denaturation stage at 94°C for 1 min, 25-cycles amplification of the product (94°C for 30 s, 50°C for 30 s, 72°C for 30 s) and a final elongation at 72°C for 3 min. Further sample preparation and sequencing were carried out in accordance with the Illumina Protocol ("16S Metagenome Sequencing Library Preparation") on the Illumina MiSeq platform (Illumina Inc., San Diego, California, USA).
Initial data processing, including demultiplexing and trimming of the adapter, was performed using Illumina software (Illumina Inc., San Diego, California, USA). The dada2 method (
The peat decomposition rate and the type of peat were studied using the Bio 2 binocular microscope («Altami», Russia), complemented by the digital camera Ucmos 03100KPA and Altami Studio software. The plant remains were indicated according to the established protocol (
Peat water content was found after drying of samples and ash content - after their combustion (
Table
Sample | Depth, cm | Peat type/admixtures | Decomposition rate, % | Z, % | pH | TBC, cells/g а.d. peat |
10 | 5-15 | Sphagnum peat/cotton grass | 7.9 ± 3.7 | 1.8 ± 0.1 | 3.34 ± 0.05 | 3.41 ± 0.70*109 |
40 | 35-45 | Sphagnum peat/cotton grass | 7.9 ± 2.9 | 1.1 ± 0.1 | 3.53 ± 0.05 | 23.70 ± 2.05*109 |
70 | 65-75 | Sphagnum peat/cotton grass | 3.9 ± 1.1 | 0.6 ± 0.1 | 3.57 ± 0.05 | 2.94 ± 0.45*109 |
140 | 135-145 | Sphagnum peat/no | 4.9 ± 1.5 | 0.8 ± 0.1 | 3.75 ± 0.05 | 2.14 ± 0.01*109 |
180 | 175-185 | Sphagnum peat/brown mosses | 8.0 ± 2.8 | 1.2 ± 0.1 | 3.84 ± 0.05 | 1.19 ± 0.01*109 |
230 | 225-235 | Sphagnum peat/cotton grass, brown mosses | 8.3 ± 3.8 | 1.1 ± 0.1 | 3.94 ± 0.05 | 1.08 ± 0.03*109 |
260 | 255-265 | Sphagnum-cotton grass/no | 22.7 ± 5.6 | 0.9 ± 0.1 | 4.04 ± 0.05 | 0.93 ± 0.03*109 |
310 | 305-315 | Hypnum-Sphagnum/pine wood | 24.0 ± 3.6 | 2.4 ± 0.1 | 4.16 ± 0.05 | 1.00 ± 0.02*109 |
The decomposition rate of the bulk of the peat core ranges from 5 to 15% and increases with depth reaching 25–30% if deeper than 250 cm. Generally, the decomposition rate increases with depth, with the highest values observed in the bottom layers.
The ash content of the ombrotrophic peat samples match the one typical for oligotrophic peat and does not exceed 2%. The highest values are normally observed at the bottom (1.4-0.1%) and the surface (1.8-0.1%) layers. In the first case, it is due to the proximity of the mineral underlying rocks and the run-off from nearby areas at the beginning of the bog-formation process. In the second case, it is due to an increase of dry atmospheric deposition (dust and mineral) over the past 50 years. The peat core through the whole depth is composed of ombrotrophic peat and deoxidises with depth. The pH values range from 3.34 to 4.16.
Performance sequencing of 16S rRNA genes produced a total of 19 phylums (105 species) of prokaryotes, of which four are archaea and 15 are bacteria. Eight phyla of bacteria are typical throughout all layers (Fig.
The results of data processing showed that 2,296 taxonomic units have been identified (ChaO1) decreasing with depth by 33.9% with a high level of linear regression (> 0.95) (Fig.
The highest number was observed at the depth of 10 cm: ChaO1 was estimated as 351. It also has the highest Shannon biodiversity (H = 4.6). The lowest value of species richness (H = 3.5) with the number of estimated taxonomic units (ChaO1 = 232) was observed at the 310 cm depth, which makes sense as the upper layer of the deposit is characterised by the maximum variability of key parameters determining the functioning of the microbiota. Seasonal and diurnal variations in temperature and level of bog water, as well as in the organic matter composition of the deposit, create suitable conditions for a wider range of prokaryotes.
The bacterial communities, as mentioned above, show convergence in the predominant phyla throughout the depth of the deposit (Fig.
Another common phylum is the Acidobacteriota (4.5-51.5%), presented in all studied layers. Its abundance is reduced due to high biodiversity in the upper aerated and poorly-aerated layers of peat core. This is the predominant phylum in the middle part of the peat core (140-230 cm). Its amount decreases significantly as depth increases and acidity declines. Despite its high abundance, the Acidobacteriota has low biodiversity in the peat core, being represented only by three families. The most numerous is one subgroup of the Acidobacteriaceae (up to 30%), which plays an important role in the decomposition of cellulose (
The presence of the phylum Verrucomicrobiota (4.4-21.1%), represented by the Verrucomicrobiae and Chlamydiae classes, increases in the middle part of the peat core (sample 140). Most of the sequences formed the group Opitutaceae and Pedosphaeraceae (up to 17%) (Fig.
Sequences defined as a phylum Desulfobacterota (3.8-16.0%) were assigned to the 4th class: Desulfobacteria, Desulfuromonadia, Syntrophia and Syntrophobacteria. Most of the isolated bacteria of the phylum Desulfobacterota do not use carbon, making up anaerobic sulphate-reducing populations. The representatives of this phylum are rarely found in oligotrophic peat cores with a low degree of mineralisation, preferring a neutral environment.
The deposits of the Bacillota phylum distributed throughout the depth include Bacilli, Clostridia and Negativicutes classes. The last two are presented in some layers in neglible quantities, while the Bacilli occur at all depths and increase its content with depth (up to 11% of the total number of sequences). The class Bacilli were previously found in oligotrophic peat cores, but unlike our study, was found in surface layers (
The phylum Planctomycetota should be highlighted; it constitutes 16.3% of the total sequence pool in the top 10 cm layer and includes primarily the Isosphaeraceae family (hydrolitic potential is the specific feature of the family). Taxonomically characterised representatives are able to dispose of a wide range of polysaccharides of plant and microbial origin (
The Archaea are common in the upper layers of the peat core and are represented primarily by Methanobacteriota (up to 14.3%) and Halobacteriota (up to 5.8%). The archaeal content becomes insignificant and is less than 1% at the depth more than 70 cm The isolated taxa of Methanomicrobiales, Methanobacteriales and Methanosareinia belong to methanogens and show high similarity in ratio and taxonomic composition with the North American bogs in the acrotelm zone (0-70 cm) (
Generally, this work shows bacterial and archaeal diversity of the representative ombrotrophic bog in northwest Russia. Using DNA-based metabarcoding, 1195 amplicon sequence variants belonging to 105 genera in peat cores were assigned. The most abundant phyla in samples at different depths are Pseudomonadota and Acidobacteriota. Prokaryote genera were found to differ by depth, for example, Methanobacterium and Methylocella predominate in the upper layers and are not found at depths over 2 m. It should be noted that a number of ASVs were unidentified, requiring further more detailed studies of the biodiversity of such wetland ecosystems. Based on ChaO1 alpha-diversity metrics, a linear reduction of the number of species with the depth (50–250 cm) of the deposit was established. Thus, the peat deposits of the ombrotrophic boreal bogs exhibit relatively low prokaryote biodiversity, which decreases with depth along with increase of acidophilic microorganisms content. At the same time, the maximum ASV content is characteristic of the acrotelm zone, where the maximum variability of key parameters is ensured in determining the functioning of the microbiota. Furthermore, our datasets will be used to clarify the role of specific microorganisms in the carbon and nitrogen cycles.
The original sequencing output files were placed in the Sequencing Archive Service (SRA) of the BioProject National Biotechnology Information Center (NCBI) database, PRJNA1028248.
The research was carried out within the framework of the topic of the state assignment of FECIAR UrB RAS №122011400386-6. The research was done using equipment of the Core Centrum ‘Genomic Technologies, Proteomics and Cell Biology’ in ARRIAM.