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Bacterial community in biological soil crusts from a Brazilian semiarid region under desertification process

ABSTRACT

Biological soil crusts (BSC) are commonly found in soils in the drylands regions, which can influence stabilization, water retention, nutrient cycling (particularly carbon (C) and nitrogen (N) dynamics), and several ecological processes. However, the composition of BSC in Brazilian soils undergoing the desertification process remains poorly understood. This study aimed to characterize the bacterial community in BSC formed in a Brazilian semiarid region under the desertification process. Thus, a highly desertified region was selected from which 34 BSC samples were collected. The total DNA of the BSC was extracted from 0.5 g samples, and the bacterial community was sequenced by a Next Generation Sequencing (NGS) platform (Miseq – Illumina®) using universal primers (515F and 806R). Bioinformatic analysis was carried out in QIIME (v.1.9), and the Operational Taxonomic Units (OTU) table was constructed following the Sumaclust methodology. The pH of BSC, C, N, and phosphorus contents was analyzed. Our study identified a diverse bacterial community in the BSCs. Cyanobacteria, Chloroflexi, and Proteobacteria phyla presented the greatest relative abundance (%) across the samples. Cyanobacteria were dominated by the orders Nostocales and Leptolyngbyales. The prediction of the putative functions found that mostf OTU were related to phototrophy, photosynthetic cyanobacteria, and photoautotrophy. The study found correlations between bacterial phyla and BSC properties, with Cyanobacteria positively related to C. Chloroflexi, Armatimonadetes, and WPS-2 were negatively correlated with C and N contents. These results suggest the critical roles bacteria communities play in BSCs from the Caatinga biome and highlight the potential impact of environmental factors on their diversity and functions.

Caatinga; cyanobacteria; drylands; microbial ecology; biofilms

Introduction

Biological soil crusts (BSC) are well-known structures found in soils which can be formed by the association of soil particles and photo and heterotrophic organisms such as cyanobacteria, microalgae, bacteria, fungi, lichens, mosses, and other organisms (Deng et al., 2020Deng S, Zhang D, Wang G, Zhou X, Ye C, Fu T, et al. 2020. Biological soil crust succession in deserts through a 59-year-long case study in China: How induced biological soil crust strategy accelerates desertification reversal from decades to years. Soil Biology and Biochemistry 141: 107665. https://doi.org/10.1016/j.soilbio.2019.107665
https://doi.org/10.1016/j.soilbio.2019.1...
; Weber et al., 2022Weber B, Belnap J, Büdel B, Antoninka AJ, Barger NN, Chaudhary VB, et al. 2022. What is a biocrust? A refined, contemporary definition for a broadening research community. Biological Reviews 97: 1768-1785. https://doi.org/10.1111/brv.12862
https://doi.org/10.1111/brv.12862...
). BSC is usually found in arid and semiarid regions (Maestre et al., 2011Maestre FT, Bowker MA, Cantón Y, Castillo-Monroy AP, Cortina J, Escolar C, et al. 2011. Ecology and functional roles of biological soil crusts in semi-arid ecosystems of Spain. Journal of Arid Environments 75: 1282-1291. https://doi.org/10.1016/j.jaridenv.2010.12.008
https://doi.org/10.1016/j.jaridenv.2010....
) and acts on several soil processes, such as inputs of carbon and nitrogen dynamics (Belnap and Lange, 2003Belnap J, Lange OL. eds. 2003. Biological soil crusts: structure, function, and management. Ecological studies. Springer, Berlin, Germany. https://doi.org/10.1007/978-3-642-56475-8
https://doi.org/10.1007/978-3-642-56475-...
). Indeed, as primary producers, BSC can fix ~0.6 Tg C and ~24 Tg N per year (Rodriguez-Caballero et al., 2018Rodriguez-Caballero E, Belnap J, Büdel B, Crutzen PJ, Andreae MO, Pöschl U, et al. 2018. Dryland photoautotrophic soil surface communities endangered by global change. Nature Geoscience 11: 185-189. https://doi.org/10.1038/s41561-018-0072-1
https://doi.org/10.1038/s41561-018-0072-...
).

As regards semiarid ecosystems, Brazil has ~20 % of its territory covered by semiarid conditions representing 1.8 million km2 (Alvalá et al., 2019Alvalá RCS, Dias MCA, Saito SM, Stenner C, Franco C, Amadeu P, et al. 2019. Mapping characteristics of at-risk population to disasters in the context of Brazilian early warning system. International Journal of Disaster Risk Reduction 41: 101326. https://doi.org/10.1016/j.ijdrr.2019.101326
https://doi.org/10.1016/j.ijdrr.2019.101...
). This semiarid ecosystem is known as Caatinga and presents low pluviometry and high evaporation (Alvares et al., 2013Alvares CA, Stape JL, Sentelhas PC, Gonçalves JLM, Sparovek G. 2013. Köppen's climate classification map for Brazil. Meteorologische Zeitschrift 22: 711-728. https://doi.org/10.1127/0941-2948/2013/0507
https://doi.org/10.1127/0941-2948/2013/0...
). The overgrazing of native vegetation has accelerated soil desertification (Pereira et al., 2021Pereira APA, Lima LAL, Bezerra WM, Pereira ML, Normando LRO, Mendes LW, et al. 2021. Grazing exclusion regulates bacterial community in highly degraded semiarid soils from the Brazilian Caatinga biome. Land Degradation and Development 32: 2210-2225. https://doi.org/10.1002/ldr.3893
https://doi.org/10.1002/ldr.3893...
), which contributes to the formation of BSC (Szyja et al., 2019 Szyja M , Menezes AGS , Oliveira FDA , Leal I , Tabarelli M , Büdel B , et al . 2019. Neglected but potent dry forest players: ecological role and ecosystem service provision of biological soil crusts in the human-modified Caatinga. Frontiers in Ecology and Evolution 7: 482. https://doi.org/10.3389/fevo.2019.00482
https://doi.org/10.3389/fevo.2019.00482...
) since cyanobacteria can increase their growth and bring about photosynthesis in this condition (Belnap and Lange, 2003Belnap J, Lange OL. eds. 2003. Biological soil crusts: structure, function, and management. Ecological studies. Springer, Berlin, Germany. https://doi.org/10.1007/978-3-642-56475-8
https://doi.org/10.1007/978-3-642-56475-...
).

Biological soil crust can stabilize soils and reduce soil losses (Deng et al., 2020Deng S, Zhang D, Wang G, Zhou X, Ye C, Fu T, et al. 2020. Biological soil crust succession in deserts through a 59-year-long case study in China: How induced biological soil crust strategy accelerates desertification reversal from decades to years. Soil Biology and Biochemistry 141: 107665. https://doi.org/10.1016/j.soilbio.2019.107665
https://doi.org/10.1016/j.soilbio.2019.1...
). In addition, although BSC is mainly composed of cyanobacteria, eukaryotic algae, lichens, and bryophytes (Belnap and Lange, 2003Belnap J, Lange OL. eds. 2003. Biological soil crusts: structure, function, and management. Ecological studies. Springer, Berlin, Germany. https://doi.org/10.1007/978-3-642-56475-8
https://doi.org/10.1007/978-3-642-56475-...
), they can be highly biodiverse (Hernandez and Knudsen, 2012Hernandez RR, Knudsen K. 2012. Late-successional biological soil crusts in a biodiversity hotspot: an example of congruency in species richness. Biodiversity and Conservation 21: 1015-1031. https://doi.org/10.1007/s10531-012-0236-z
https://doi.org/10.1007/s10531-012-0236-...
). It includes archaeal, bacterial, and fungal communities, which play essential biological processes, such as biomass degradation and nutrient cycling (Zhang et al., 2018a; Glaser et al., 2022 Glaser K , Van AT , Pushkareva E , Barrantes I , Karsten U . 2022. Microbial communities in biocrusts are recruited from the neighboring sand at coastal dunes along the Baltic sea. Frontiers in Microbiology 13: 859447. https://doi.org/10.3389/fmicb.2022.859447
https://doi.org/10.3389/fmicb.2022.85944...
).

In Brazilian semiarid regions previous studies have assessed the microbial community in BSC reporting cyanobacteria, algae, lichens, and bryophytes as the most abundant groups (Lima et al., 2019 Lima NMM , Fernandes VMC , Roush D , Ayuso SV , Rigonato J , Garcia-Pichel F , et al . 2019. The compositionally distinct cyanobacterial biocrusts from Brazilian Savanna and their environmental drivers of community diversity. Frontiers in Microbiology 10: 2798. https://doi.org/10.3389/fmicb.2019.02798
https://doi.org/10.3389/fmicb.2019.02798...
; Szyja et al., 2019 Szyja M , Menezes AGS , Oliveira FDA , Leal I , Tabarelli M , Büdel B , et al . 2019. Neglected but potent dry forest players: ecological role and ecosystem service provision of biological soil crusts in the human-modified Caatinga. Frontiers in Ecology and Evolution 7: 482. https://doi.org/10.3389/fevo.2019.00482
https://doi.org/10.3389/fevo.2019.00482...
; Lima and Branco, 2020Lima NMM, Branco LHZ. 2020. Biological soil crusts: new genera and species of Cyanobacteria from Brazilian semi-arid regions. Phytotaxa 470: 263-281. https://doi.org/10.11646/phytotaxa.470.4.1
https://doi.org/10.11646/phytotaxa.470.4...
). Although these studies on Brazilian semiarid regions assessed groups of organisms related to BSC the composition of bacteria community in BSC formed under an intense desertification process (i.e., such as Caatinga biome) still needs to be better understood.

Therefore, this study aimed to characterize the bacteria community in BSC formed in a Brazilian semiarid ecosystem under the desertification process (Caatinga biome). This study hypothesized that BSC formed under the desertification process reveals important microbial groups with potential functions. To test this hypothesis, this study employed universal primers targeting the 16S rRNA gene, and the FAPROTAX approach was applied to assign ecological functions associated with BSC effectively.

Materials and Methods

Site description

The study was carried out in the municipality of Irauçuba, CE, Brazil, situated in the northern hinterland region of the state of Ceará, 150 km from Fortaleza (state capital), at geographic coordinates 3°44’46” S, 39°47’00” W, altitude 164 m. The region is part of the Caatinga biome and is one of the most affected desertification nuclei in the Brazilian semiarid region. The geographic location of the city, along with the sampling region, is visually depicted in Figure 1.

Figure 1
– Irauçuba is a municipality geographically located in the state of Ceará, Brazil. The biological soil crusts were collected from highly desertified hotspots. The green circles on the maps represent the specific spot from which each crust was collected.

The local climate is semiarid, with an average annual rainfall of ~500 mm, concentrated from Jan to May. The climate defined by the Köppen-Geiger classification is BSw’h (hot semi-arid tropical), with average annual temperatures ranging from 26 to 28 °C (Alvares et al., 2013Alvares CA, Stape JL, Sentelhas PC, Gonçalves JLM, Sparovek G. 2013. Köppen's climate classification map for Brazil. Meteorologische Zeitschrift 22: 711-728. https://doi.org/10.1127/0941-2948/2013/0507
https://doi.org/10.1127/0941-2948/2013/0...
). The soil was classified as Eutrophic Haplic Planosol (EMBRAPA, 2020). The local economic activities are extensive livestock farming (e.g., sheep, goats, and cattle), as well as subsistence agriculture, which is often harmful to the soil as it does not consider the limitations of the environment and employs low-level technological knowledge of agricultural management (Oliveira-Filho et al., 2019Oliveira-Filho JS, Vieira JN, Silva EMR, Oliveira JGB, Pereira MG, Brasileiro FG. 2019. Assessing the effects of 17 years of grazing exclusion in degraded semi-arid soils: Evaluation of soil fertility, nutrients pools and stoichiometry. Journal of Arid Environments 166: 1-10. https://doi.org/10.1016/j.jaridenv.2019.03.006
https://doi.org/10.1016/j.jaridenv.2019....
). These activities, which have experienced a significant escalation over the past three decades, are concurrently accelerating soil desertification in the region, mainly promoted by the detrimental effects of overgrazing (and a myriad of natural events such as low precipitation and high-temperature levels).

Soil biological crust sampling and chemical characterization

Samples were collected from a highly desertified region, and 34 BSC samples were collected (Figure 1). The location of each sample was georeferenced by GNSS (Global Navigation Satellite System) (Figure 1). In some cases, due to the higher morphological heterogeneity of BSC, more than one BSC per spot was sampled. The BSCs (~10 – 15 g) were removed from the soil surface using spatulas and placed in glass Petri dishes (15 mm high × 100 mm diameter) to preserve them for molecular analysis.

In this study, we analyzed the pH, C, N, and P contents of BSC. BSC samples were first dried in a forced-air oven at 65 °C for 48 h. a A potentiometer measured the pH using a soil solution suspension (1:2.5 – H2O) to ensure accurate results. Nitrogen content was determined using the semi-micro Kjeldahl method, a widely accepted technique for N analysis. For P content, the sulfuric extraction method (H2SO4 – 1:1) was adopted, and later, the molybdenum blue colorimetry method with a spectrophotometer was used to precisely quantify P contents. To assess total organic C, the Walkley-Black method was used, which involves oxidizing the organic carbon in potassium dichromate (K2Cr2O7) with sulfuric acid (H2SO4) and then quantifying the excess dichromate through titration with ammonium ferrous sulfate. All procedures were carried out according to Teixeira et al. (2017)Teixeira PC, Donagemma GK, Fontana A, Teixeira WG. eds. 2017. Handbook of Soil Analysis = Manual de Métodos de Análise de Solo. 3. ed. Embrapa Solos, Rio de Janeiro, RJ, Brazil (in Portuguese)..

DNA extraction, amplification, and sequencing

The total DNA of the BSC was extracted from 0.5 g of each sample using the DNeasy® PowerLyzer® PowerSoil® Kit (Qiagen), according to the manufacturer’s instructions. The DNA was quantified using the Nanodrop ND 1000 (Thermo Scientific) and verified by agarose gel electrophoresis (0.8 %).

The 16S rRNA gene was amplified in the V4 region using the primer set 515F (5’-GTGCCAGCMGCCGCGGTAA-3’) and 806R (5’-GGACTACHVHHHTWTCTAAT-3’) (Caporaso et al., 2011Caporaso JG, Lauber CL, Walters WA, Berg-Lyons D, Lozupone CA, Turnbaugh PJ. 2011. Global patterns of 16S rRNA diversity at a depth of millions of sequences per sample. Proceedings of the National Academy of Sciences 108: 4516-4522. https://doi.org/10.1073/pnas.1000080107
https://doi.org/10.1073/pnas.1000080107...
). The amplification occurred in reactions consisting of 95 °C for 4 min, 60 °C for 1 min, 72 °C for 2 min, followed by 25 cycles at 94 °C for 1 min, 60 °C for 1 min, and 72 °C for 2 min. For these primers a fragment size of 254 pb was expected.

The polymerase reaction products were purified using calibrated Agencourt AMPure XP beads (Beckman Coulter), paired, and sequenced using an Illumina MiSeq Reagent kit v2 (300 cycles, 2 × 150 bp) on an Illumina MiSeq sequencer (Illumina) at the Central de Genômica e Bioinformática (CeGenBio) at the Universidade Federal do Ceará, Brazil.

Bioinformatic processing

Raw sequences were analyzed using QIIME (Quantitative Insights Into Microbial Ecology) (v. 1.9) (Caporaso et al., 2010Caporaso JG, Kuczynski J, Stombaugh J, Bittinger K, Bushman FD, Costello EK, et al. 2010. QIIME allows analysis of high-throughput community sequencing data. Nature Methods 7: 335-336. https://doi.org/10.1038/nmeth.f.303
https://doi.org/10.1038/nmeth.f.303...
), following the instructions available on the QIIME website (qiime.org). The reads were filtered for quality, and chimeric sequences were detected and removed. The files were grouped into Operational Taxonomic Units (OTUs) using the Sumaclust algorithm with a 97 % similarity threshold (Kopylova et al., 2016 Kopylova E , Navas-Molina JA , Mercier C , Xu ZZ , Mahé F , He Y , et al . 2016. Open-source sequence clustering methods improve the state of the art. Ecological and Evolutionary Science 1: e0000315. https://doi.org/10.1128/mSystems.00003-15
https://doi.org/10.1128/mSystems.00003-1...
). Each OTU was taxonomically classified based on the SILVA (132) database (Quast et al., 2013Quast C, Pruesse E, Yilmaz P, Gerken J, Schweer T, Yarza P, et al. 2013. The SILVA ribosomal RNA gene database project: improved data processing and web-based tools. Nucleic Acids Research 41: D590-D596. https://doi.org/10.1093/nar/gks1219
https://doi.org/10.1093/nar/gks1219...
). Relative abundance (%) was determined by dividing the counts (frequencies) of individual features (OTU) in each sample by the total count (frequency) of all features in that sample. In general, a total of ~2.5 million high-quality sequences were obtained, and the OTU table was rarified to 28,287 sequences, following the number of sequences present in the sample with the lowest value. The putative functions of BSC were predicted by accessing the FAPROTAX database v. 1.2.3 (Louca et al., 2016Louca S, Parfrey LW, Doebeli M. 2016. Decoupling function and taxonomy in the global ocean microbiome. Science 353: 1272-1277. https://doi.org/10.1126/science.aaf4507
https://doi.org/10.1126/science.aaf4507...
). A Spearman correlation analysis was carried out to evaluate the correlations between the microbial groups and the chemical parameters of the BSC.

Results

The pH value was acidic (4.5-6.0). Carbon, N, and P content were, on average, 23 g kg1, 1.0 g kg1, and 0.7 g kg1, respectively (Figure 2). The results showed 53 phyla, 145 classes, 416 orders, 838 families, and 1895 genera. The most abundant phyla were Cyanobacteria (22 %), Chloroflexi (17 %), Proteobacteria (16 %), Actinobacteria (14 %), Planctomycetes (13 %), and Acidobacteria (7 %) (Figure 3). As regards the top three most abundant phyla, Cyanobacteria was dominated by the Nostocales (17 %) and Leptolyngbyales (8 %) (Figures 4A and B) orders. Chloroflexi consisted basically of Ktedonobacteria and Chloroflexia, while Proteobacteria was dominated by Alphaproteobacteria and Gammaproteobacteria. Furthermore, the class Alphaproteobacteria, which presented three orders (Rhizobiales, Acetobacterales, and Sphingomonadales) with high abundance in BSC samples stood out from the others.

Figure 2
– Chemical characterization of biological soil crusts in a degraded hotspot of Brazilian semiarid. C = soil organic carbon; N = total nitrogen; P = total phosphorus; and pH = hydrogen-ionic potential.

Figure 3
– Relative abundance (%) of main phyla associated with biological soil crust in a hotspot of Brazilian semiarid under desertification. Other = low abundant (< 3 %) and unclassified. BSC = Biological soil crusts. *Archaea.

Figure 4
– Absolute abundance (%) of bacterial community groups associated with biological soil crust in a degraded hotspot of Brazilian semiarid. A) phyla and classes, and B) classes and orders.

By using FAPROTAX as a model to predict putative functions of the bacterial community in BSC, a higher proportion of OTU was seen to be related to phototrophy, photosynthetic cyanobacteria, and Photoautotrophic organisms (Figure 5). A high number of OTU was also associated with chemoheterotrophy. The correlations between bacterial phyla and BSC properties showed Cyanobacteria positively related to C. However, Chloroflexi, Armatimonadetes, and WPS-2 correlated negatively with C, and N. In particular, Chloroflexi correlated negatively with pH (Figure 6).

Figure 5
– Functional profile of biological soil crust in a degraded hotspot of Brazilian semiarid predicted by FAPROTAX database. OTU = Operational taxonomic unit.

Figure 6
– Spearman ranking correlation test between main biological soil crust phyla and chemical characterization. *Means significant correlation (%), blue and red are positive and negative, correlation respectively. OTU = Operational taxonomic unit.

Discussion

This pioneering study presents a comprehensive analysis of the bacteria community within BSC from highly degraded soil located in the Brazilian semiarid region. While previous studies have explored several groups of organisms of BSC in the Brazilian semiarid region (Lima et al., 2019 Lima NMM , Fernandes VMC , Roush D , Ayuso SV , Rigonato J , Garcia-Pichel F , et al . 2019. The compositionally distinct cyanobacterial biocrusts from Brazilian Savanna and their environmental drivers of community diversity. Frontiers in Microbiology 10: 2798. https://doi.org/10.3389/fmicb.2019.02798
https://doi.org/10.3389/fmicb.2019.02798...
; Szyja et al., 2019 Szyja M , Menezes AGS , Oliveira FDA , Leal I , Tabarelli M , Büdel B , et al . 2019. Neglected but potent dry forest players: ecological role and ecosystem service provision of biological soil crusts in the human-modified Caatinga. Frontiers in Ecology and Evolution 7: 482. https://doi.org/10.3389/fevo.2019.00482
https://doi.org/10.3389/fevo.2019.00482...
; Lima and Branco, 2020Lima NMM, Branco LHZ. 2020. Biological soil crusts: new genera and species of Cyanobacteria from Brazilian semi-arid regions. Phytotaxa 470: 263-281. https://doi.org/10.11646/phytotaxa.470.4.1
https://doi.org/10.11646/phytotaxa.470.4...
), this research study stands out as being the first to focus specifically on BSC samples from a highly desertified location. Our results showed Cyanobacteria and Chloroflexi to be the most abundant phyla found in BSC samples. Interestingly, previous studies also have reported Cyanobacteria and Chloroflexi as being the chief components of the community in BSC (Li et al., 2013Li K, Liu R, Zhang H, Yun J. 2013. The diversity and abundance of bacteria and oxygenic phototrophs in saline biological desert crusts in Xinjiang, northwest China. Microbial Ecology 66: 40-48. https://doi.org/10.1007/s00248-012-0164-1
https://doi.org/10.1007/s00248-012-0164-...
; Zhang et al., 2016 Zhang B , Kong W , Wu N , Zhang Y . 2016. Bacterial diversity and community along the succession of biological soil crusts in the Gurbantunggut desert, northern China. Journal of Basic Microbiology 56: 670-679. https://doi.org/10.1002/jobm.201500751
https://doi.org/10.1002/jobm.201500751...
), including those found in Brazilian semiarid regions (Lima et al., 2019 Lima NMM , Fernandes VMC , Roush D , Ayuso SV , Rigonato J , Garcia-Pichel F , et al . 2019. The compositionally distinct cyanobacterial biocrusts from Brazilian Savanna and their environmental drivers of community diversity. Frontiers in Microbiology 10: 2798. https://doi.org/10.3389/fmicb.2019.02798
https://doi.org/10.3389/fmicb.2019.02798...
; Lima and Branco, 2020Lima NMM, Branco LHZ. 2020. Biological soil crusts: new genera and species of Cyanobacteria from Brazilian semi-arid regions. Phytotaxa 470: 263-281. https://doi.org/10.11646/phytotaxa.470.4.1
https://doi.org/10.11646/phytotaxa.470.4...
). Since certain species of these groups of microorganisms are C-fixing and live phototrophically (Zhang et al., 2016 Zhang B , Kong W , Wu N , Zhang Y . 2016. Bacterial diversity and community along the succession of biological soil crusts in the Gurbantunggut desert, northern China. Journal of Basic Microbiology 56: 670-679. https://doi.org/10.1002/jobm.201500751
https://doi.org/10.1002/jobm.201500751...
), they could survive in BSC in regions under desertification and contribute as a C source to heterotrophs (Zhang et al., 2015Zhang BC, Zhou XB, Zhang YM. 2015. Responses of microbial activities and soil physical-chemical properties to the successional process of biological soil crusts in the Gurbantunggut desert, Xinjiang. Journal of Arid Land 7: 101-109. https://doi.org/10.1007/s40333-014-0035-3
https://doi.org/10.1007/s40333-014-0035-...
).

With regard to the high relative abundance of cyanobacteria, they are key microorganisms in BSC (Warren et al., 2019 Warren SD , Clair LLS , Stark LR , Lewis LA , Pombubpa N , Kurbessoian T , et al . 2019. Reproduction and dispersal of biological soil crust organisms. Frontiers in Ecology and Evolution 7: 344. https://doi.org/10.3389/fevo.2019.00344
https://doi.org/10.3389/fevo.2019.00344...
; Samolov et al., 2020 Samolov E , Baumann K , Büdel B , Jung P , Leinweber P , Mikhailyuk T , et al . 2020. Biodiversity of algae and cyanobacteria in biological soil crusts collected along a climatic gradient in Chile using an integrative approach. Microorganisms 8: 1047. https://doi.org/10.3390/microorganisms8071047
https://doi.org/10.3390/microorganisms80...
). In drylands, the soil surface is typically colonized by cyanobacteria, which could subsequently initiate the formation of BSC (Weber et al., 2022Weber B, Belnap J, Büdel B, Antoninka AJ, Barger NN, Chaudhary VB, et al. 2022. What is a biocrust? A refined, contemporary definition for a broadening research community. Biological Reviews 97: 1768-1785. https://doi.org/10.1111/brv.12862
https://doi.org/10.1111/brv.12862...
). This may partially explain the higher relative abundance of Cyanobacteria in BSC samples from Brazilian semiarid regions under desertification. Additionally, Cyanobacteria release substances that bind the soil particles (Chaudhary et al., 2009Chaudhary VB, Bowker MA, O'Dell TE, Grace JB, Redman AE, Rillig MC, et al. 2009. Untangling the biological contributions to soil stability in semiarid shrublands. Ecological Applications 19: 110-122. https://doi.org/10.1890/07-2076.1
https://doi.org/10.1890/07-2076.1...
), which is an essential strategy for soil restoration (Rocha et al., 2020 Rocha F , Lucas-Borja ME , Pereira P , Muñoz-Rojas M . 2020. Cyanobacteria as a nature-based biotechnological tool for restoring salt-affected soils. Agronomy 10: 1321. https://doi.org/10.3390/agronomy10091321
https://doi.org/10.3390/agronomy10091321...
). It aligns with our hypothesis that the BSC from highly degraded regions can reveal important microbial groups. This bacterial group is a well-known primary producer, and certain groups would be able to fix N2 from the atmosphere (Karlson et al., 2015Karlson AML, Duberg J, Motwani NH, Hogfors H, Klawonn I, Ploug H, et al. 2015. Nitrogen fixation by cyanobacteria stimulates production in Baltic food webs. Ambio 44: 413-426. https://doi.org/10.1007/s13280-015-0660-x
https://doi.org/10.1007/s13280-015-0660-...
). Therefore, this high abundance of cyanobacteria could contribute to soil restoration (by adding C and N).

Nostocales was the most abundant bacterial order, and it agrees with what has been previously reported by Nostocales as an abundant group in BSC worldwide (Yeager et al., 2004Yeager CM, Kornosky JL, Housman DC, Grote EE, Belnap J, Kuske CR. 2004. Diazotrophic community structure and function in two successional stages of biological soil crusts from the Colorado plateau and Chihuahuan desert. Applied Journal of Environmental Microbiology 70: 973-983. https://doi.org/10.1128/AEM.70.2.973-983.2004
https://doi.org/10.1128/AEM.70.2.973-983...
; Wang et al., 2020Wang J, Zhang P, Bao J, Zhao J, Song G, Yang H, et al. 2020. Comparison of cyanobacterial communities in temperate deserts: A cue for artificial inoculation of biological soil crusts. Science of The Total Environment 745: 140970. https://doi.org/10.1016/j.scitotenv.2020.140970
https://doi.org/10.1016/j.scitotenv.2020...
). These heterocystous cyanobacteria encode nifH genes with diazotrophic ability found in crusts from desert ecosystems (Yeager et al., 2004Yeager CM, Kornosky JL, Housman DC, Grote EE, Belnap J, Kuske CR. 2004. Diazotrophic community structure and function in two successional stages of biological soil crusts from the Colorado plateau and Chihuahuan desert. Applied Journal of Environmental Microbiology 70: 973-983. https://doi.org/10.1128/AEM.70.2.973-983.2004
https://doi.org/10.1128/AEM.70.2.973-983...
), and this ability to fix N2 is important to arid regions (Williams et al., 2016 Williams L , Loewen-Schneider K , Maier S , Büdel B . 2016. Cyanobacterial diversity of western European biological soil crusts along a latitudinal gradient. FEMS Microbiology Ecology 92: fiw157. https://doi.org/10.1093/femsec/fiw157
https://doi.org/10.1093/femsec/fiw157...
).

Members of Chloroflexi were also found in high relative abundance in BSC samples, which can be explained as this phylum presents several oligotrophic microbes with high tolerance to stressful conditions (Costello and Schmidt, 2006Costello EK, Schmidt SK. 2006. Microbial diversity in alpine tundra wet meadow soil: novel Chloroflexi from a cold, water-saturated environment. Environmental Microbiology 8: 1471-1486. https://doi.org/10.1111/j.1462-2920.2006.01041.x
https://doi.org/10.1111/j.1462-2920.2006...
), such as soil desertification. In this phylum, the class Ktedonobacteria, which comprises microorganisms with high adaptation to extreme oligotrophic conditions such as deserts (Lynch et al., 2012Lynch RC, King AJ, Farias ME, Sowell P, Vitry C, Schmidt SK. 2012. The potential for microbial life in the highest elevation (> 6000 m.a.s.l.) mineral soils of the Atacama region. Journal of Geophysical Research 117: G02028. https://doi.org/10.1029/2012JG001961
https://doi.org/10.1029/2012JG001961...
), dominated our BSC samples. The phylum Proteobacteria found in high relative abundance was dominated by Alphaproteobacteria and Gammaproteobacteria. A number of studies have also reported that among non-phototroph microbes, Proteobacteria are found in high abundance in biological soil crusts, which act as N2-fixers, ammonia-oxidizers, and denitrifiers (Garcia-Pichel et al., 2003Garcia-Pichel F, Johnson SL, Yougkin D, Belnap J. 2003. Small-scale vertical distribution of bacterial biomass and diversity in biological soil crusts from arid lands in the Colorado Plateau. Microbial Ecology 46: 312-321. https://doi.org/10.1007/s00248-003-1004-0
https://doi.org/10.1007/s00248-003-1004-...
; Nagy et al., 2005Nagy ML, Pérez A, Garcia-Pichel F. 2005. The prokaryotic diversity of biological soil crusts in the Sonoran Desert (Organ Pipe Cactus National Monument, AZ). FEMS Microbiology Ecology 54: 233-245. https://doi.org/10.1016/j.femsec.2005.03.011
https://doi.org/10.1016/j.femsec.2005.03...
; Zhang et al., 2014Zhang Y, Cao C, Peng M, Xu X, Zhang P, Yu Q, et al. 2014. Diversity of nitrogen-fixing, ammonia-oxidizing, and denitrifying bacteria in biological soil crusts of a revegetation area in Horqin Sandy Land, northeast China. Ecological Engineering 71: 71-79. https://doi.org/10.1016/j.ecoleng.2014.07.032
https://doi.org/10.1016/j.ecoleng.2014.0...
). On a deeper level, in BSC samples, Rhizobiales, Acetobacterales, and Sphingomonadales orders were in high abundance. These bacterial orders comprise N2-fixers associated with roots that can provide N to mosses and vascular plants in BSC (Pepe-Ranney et al., 2016Pepe-Ranney C, Koechli C, Potrafka R, Andam C, Eggleston E, Garcia-Pichel F, et al. 2016. Non-cyanobacterial diazotrophs mediate dinitrogen fixation in biological soil crusts during early crust formation. Multidisciplinary Journal of Microbial Ecology 10: 287-298. https://doi.org/10.1038/ismej.2015.106
https://doi.org/10.1038/ismej.2015.106...
; Saravanan et al., 2008Saravanan VS, Madhaiyan M, Osborne J, Thangaraju M, Sa TM. 2008. Ecological occurrence of Gluconacetobacter diazotrophicus and nitrogen-fixing Acetobacteraceae members: their possible role in plant growth promotion. Microbial Ecology 55: 130-140. https://doi.org/10.1007/s00248-007-9258-6
https://doi.org/10.1007/s00248-007-9258-...
; Salazar et al., 2022Salazar A, Warshan D, Vasquez-Mejia C, Andrésson ÓS. 2022. Environmental change alters nitrogen fixation rates and microbial parameters in a subarctic biological soil crust. Oikos 11: e09239. https://doi.org/10.1111/oik.09239
https://doi.org/10.1111/oik.09239...
). These bacteria can be potentially important to biological crusts when used for restoration strategies in the desertification process (Deng et al., 2020Deng S, Zhang D, Wang G, Zhou X, Ye C, Fu T, et al. 2020. Biological soil crust succession in deserts through a 59-year-long case study in China: How induced biological soil crust strategy accelerates desertification reversal from decades to years. Soil Biology and Biochemistry 141: 107665. https://doi.org/10.1016/j.soilbio.2019.107665
https://doi.org/10.1016/j.soilbio.2019.1...
).

By using FAPROTAX, potential microbial functions were predicted, most of which are related to photoautotrophic microbes. Indeed, the bacterial composition of BSC in our study consists of Cyanobacteria and Chloroflexi. A previous study reported that photoautotrophs dominate BSC and control the abundance of other microbes mainly when the environmental conditions change (Maier et al., 2018Maier S, Tamm A, Wu D, Caesar J, Grube M, Weber B. 2018. Photoautotrophic organisms control microbial abundance, diversity, and physiology in different types of biological soil crusts. Multidisciplinary Journal of Microbial Ecology 12: 1032-1046. https://doi.org/10.1038/s41396-018-0062-8
https://doi.org/10.1038/s41396-018-0062-...
). Therefore, in soil under desertification, the dominance of photoautotrophs could favor the abundance of important bacterial groups, such as Proteobacteria, which can explain the high abundance of this phylum. Another important predicted function was photosynthesis, which is related to chlorophyll-containing oxygenic photoautotrophs (Cyanobacteria) that are fundamental to BSC development (Tang et al., 2018 Tang K , Jia L , Yuan B , Yang S , Li H , Meng J , et al . 2018. Aerobic anoxygenic phototrophic bacteria promote the development of biological soil crusts. Frontiers in Microbiology 9: 2715. https://doi.org/10.3389/fmicb.2018.02715
https://doi.org/10.3389/fmicb.2018.02715...
). In addition, these organisms contribute to C and N2 fixation, and thereby improve the nutrient status in BSC (Hallenbeck, 2017Hallenbeck PC. eds. 2017. Modern Topics in the Phototrophic Prokaryotes: Environmental and Applied Aspects. Springer, Cham, Switzerland. https://doi.org/10.1007/978-3-319-46261-5
https://doi.org/10.1007/978-3-319-46261-...
). Ecologically, photoautotrophs like cyanobacteria stimulate the growth of other microbes and promote BSC development (Tang et al., 2018 Tang K , Jia L , Yuan B , Yang S , Li H , Meng J , et al . 2018. Aerobic anoxygenic phototrophic bacteria promote the development of biological soil crusts. Frontiers in Microbiology 9: 2715. https://doi.org/10.3389/fmicb.2018.02715
https://doi.org/10.3389/fmicb.2018.02715...
). This presence of chemoheterotrophs is significant since these organisms can store organic C and use it as an energy source, mainly when the environmental conditions are unfavorable (Hauschild et al., 2017Hauschild P, Röttig A, Madkour MH, Al-Ansari AM, Almakishah NH, Steinbüchel A. 2017. Lipid accumulation in prokaryotic microorganisms from arid habitats. Applied Microbiology and Biotechnology 101: 2203-2216. https://doi.org/10.1007/S00253-017-8149-0
https://doi.org/10.1007/S00253-017-8149-...
), such as in regions under desertification (Pereira et al., 2022Pereira APA, Mendes LW, Oliveira, FAS, Antunes JEL, Melo VMM, Araujo ASF. 2022. Land degradation affects the microbial communities in the Brazilian Caatinga biome. Catena 211: 105961. https://doi.org/10.1016/j.catena.2021.105961
https://doi.org/10.1016/j.catena.2021.10...
).

It was observed that Cyanobacteria was positively correlated to C content. This positive correlation is related to the ability of Cyanobacteria to fix C in biological soil crusts (Zhang et al., 2018a). This suggests that Cyanobacteria play a crucial role in carbon cycling and accumulation within this ecosystem (Zhang et al., 2018b). Furthermore, Chloroflexi, Armatimonadetes, and WPS-2 were negatively correlated with C, and N even though they are in the same crusts that cyanobacteria were (possibly) fixing C and N. Thus, additional studies are needed to explain and make meaningful conclusions or implications, including specific ecosystems and methods used to measure Cyanobacteria abundance and C and N contents.

This study provided a comprehensive overview of the bacterial diversity and putative functions in biological soil crusts (BSCs) in a highly degraded Brazilian semiarid region. The bacterial community in BSCs was dominated by Cyanobacteria, with Nostocales being the most abundant order. The putative functions of the bacterial community in BSCs were predicted to be mainly related to phototrophy, photosynthetic cyanobacteria, and chemoheterotrophy. Furthermore, there were significant correlations between bacterial phyla and BSC properties, with Cyanobacteria being positively related to C content, and Chloroflexi, Armatimonadetes, and WPS-2 negatively correlated with C and N contents.

Acknowledgments

Arthur Prudêncio de Araujo Pereira thanks the Conselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq) for grants nº 402646/2021-5 and nº 305231/2023-5. Vania Maria Maciel Melo thanks CNPq and Fundação Cearense de Apoio ao Desenvolvimento Científico e Tecnológico (FUNCAP) for their grants n° 313254/2021-4 and 06276431/2022, respectively.

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Edited by

Edited by: Fernando Dini Andreote

Publication Dates

  • Publication in this collection
    13 May 2024
  • Date of issue
    2024

History

  • Received
    16 May 2023
  • Accepted
    18 Sept 2023
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