Next Article in Journal
Long-Term Surveillance of Antibiotic Prescriptions and the Prevalence of Antimicrobial Resistance in Non-Fermenting Gram-Negative Bacilli
Next Article in Special Issue
Interactions among Redox Regulators and the CtrA Phosphorelay in Dinoroseobacter shibae and Rhodobacter capsulatus
Previous Article in Journal
Heat Shock Protein DnaJ in Pseudomonas aeruginosa Affects Biofilm Formation via Pyocyanin Production
Previous Article in Special Issue
Analysis of the Complete Genome of the Alkaliphilic and Phototrophic Firmicute Heliorestis convoluta Strain HHT
 
 
Font Type:
Arial Georgia Verdana
Font Size:
Aa Aa Aa
Line Spacing:
Column Width:
Background:
Article

Niche Partitioning with Temperature among Heterocystous Cyanobacteria (Scytonema spp., Nostoc spp., and Tolypothrix spp.) from Biological Soil Crusts

by
Ana Giraldo-Silva
1,2,
Vanessa M. C. Fernandes
1,2,
Julie Bethany
1,2 and
Ferran Garcia-Pichel
1,2,*
1
School of Life Sciences, Arizona State University, Tempe, AZ 85287, USA
2
Center for Fundamental and Applied Microbiomics (CFAM), Biodesing Institute, Arizona State University, Tempe, AZ 85287, USA
*
Author to whom correspondence should be addressed.
Microorganisms 2020, 8(3), 396; https://doi.org/10.3390/microorganisms8030396
Submission received: 14 February 2020 / Revised: 7 March 2020 / Accepted: 10 March 2020 / Published: 12 March 2020
(This article belongs to the Special Issue Advances in the Biology of Phototrophic Bacteria)

Abstract

:
Heterocystous cyanobacteria of biocrusts are key players for biological fixation in drylands, where nitrogen is only second to water as a limiting resource. We studied the niche partitioning among the three most common biocrust heterocystous cyanobacteria sts using enrichment cultivation and the determination of growth responses to temperature in 30 representative isolates. Isolates of Scytonema spp. were most thermotolerant, typically growing up to 40 °C, whereas only those of Tolypothrix spp. grew at 4 °C. Nostoc spp. strains responded well at intermediate temperatures. We could trace the heat sensitivity in Nostoc spp. and Tolypothrix spp. to N2-fixation itself, because the upper temperature for growth increased under nitrogen replete conditions. This may involve an inability to develop heterocysts (specialized N2-fixing cells) at high temperatures. We then used a meta-analysis of biocrust molecular surveys spanning four continents to test the relevance of this apparent niche partitioning in nature. Indeed, the geographic distribution of the three types was clearly constrained by the mean local temperature, particularly during the growth season. This allows us to predict a potential shift in dominance in many locales as a result of global warming, to the benefit of Scytonema spp. populations.

1. Introduction

In drylands, where plant growth is limited by water and nutrients, the soil surface can be occupied by communities of microorganisms known as biological soil crusts (biocrusts; see [1] for a primer, and [2] for a monograph), which play crucial roles for the fertility and stability of drylands. Their presence enhances resistance to erosion caused by water [3] or wind [4,5], modifies soil surface temperature [6], and influences water retention and runoff [7,8,9]. Colonization of bare soils, typically pioneered by highly motile filamentous cyanobacteria like Microcoleus vaginatus and Microcoleus steenstrupii [10] results in the formation of incipient communities. Once the surface is stabilized, sessile, heterocystous cyanobacteria colonize secondarily. The community also hosts a variety of populations of heterotrophic bacteria [11,12], archaea [13], and fungi [14] as well as lichens and mosses [15], which are typical of the most developed crusts. Once established, these heterocystous cyanobacteria are significant contributors to dinitrogen inputs in soils crusts [16], taking over this role from the heterotrophic diazotrophic bacteria [17] that enter in C for N symbioses with M. vaginatus in early succession stages [18]. Three phylogenetically well-defined clades, Scytonema spp., Nostoc spp. and Tolypothrix/Spirirestis spp., have been identified as the most abundant diazotrophic cyanobacteria in biocrusts communities of the Southwestern US [19]. Soil crusts are typically in a perennial state of N deficiency because the internal N cycle is broken (denitrification is apparently absent from most biocrusts; [20,21]). Biological fixation thus remains a necessity for continued growth. Fixed atmospheric C and N [20,22,23], along with other elements [24] can then be exported to underlying soils, improving landscape soil fertility. Because drylands cover nearly 45% of the total Earth continental area [25], and aridity is predicted to increase due to global warming [26,27,28], this N export activity of biocrusts matters not only locally, but also globally. In fact, the global N2-fixation of cryptogamic covers, much of which are biocrusts, has been estimated at 49 Tg/yr, accounting for nearly 50% of the biological N2-fixation on land [29].
N2-fixation activity has been determined experimentally to be optimal in the range of 15–30 °C regardless of the biocrusts origin or successional stage assayed in the US Southwest [30,31], with rates decreasing significantly between 30 and 35 °C [31]. This sensitivity has been ascribed to possible deleterious effects of temperature on N2-fixing cyanobacteria [31]. Thermophysiological studies using laboratory isolates [31,32,33] or geographical distribution in molecular tallies [34] have shown that the three main clades of biocrust heterocystous cyanobacteria are characterized by different temperature ranges for growth: the Scytonema spp. clade tends to be more thermotolerant, whereas the Tolypothrix spp. clade shows psychrophilic preferences, and strains in the Nostoc spp. clade shows a preference for mild temperatures (15 to 30 °C). However, these results come from the evaluation of a restricted number of sites or strains, and the patterns were not always robust. Clearly, however, the results point to a potential for differential sensitivity of these cyanobacteria to environmental warming, a future scenario with which biocrust will have to contend. Drylands at large will likely become warmer and drier in response to global warming. In particular, the US Southwest is predicted to experience an increase in temperature of about 1 °C per decade [26], accompanied by alterations in precipitation frequency [35,36,37].
In this contribution we wanted to evaluate in detail the thermophysiology of biocrust heterocystous cyanobacteria using cultivated isolates, and to test if their niche differentiation is regulated by N2-fixation. Finally, we wanted to test if the physiological data obtained from cultures, can explain the current biogeographic distribution of each clade, and hence potentially help us predict their fate in the face of global warming. Our results show that these cyanobacteria show markedly different thermophysiological patterns in culture and consistent world-wide distributions in nature. This points to a potential for differential sensitivity among them to global warming, allowing us to predict a microbial replacement that biocrusts will have to contend with in future climate change scenarios.

2. Materials and Methods

2.1. Enrichment Cultures

Field biocrusts were collected from the (cold) Great Basin Desert (Utah, USA), and from the (warm) Chihuahuan desert (New Mexico, USA), and from two soil textural types in each, Great Basin: sandy clay loam and clay loam, and Chihuahuan: clay loam and loamy sand. Locations and soil types details are given in [38]. Three enrichment cultures were prepared from each site and incubation temperature by randomly placing small biocrust crumbles and spreading it over 1.5 % (w/v) agar-solidified minimal medium without combined nitrogen (BG110; [39,40]) in Petri dishes. They were incubated at 4, 25 and 30 °C, for 20 days, under 20 to 27 μmoL m−2 s−1 light from fluorescent bulbs under a 14 h photoperiod. After incubation, colonies were counted, sampled and observed under the compound microscope (labophot-2, Nikon, Tokyo, Japan) to be assigned to one of the three morphotypes. Differences in the relative proportions were assessed via permutational multivariate analysis of variance (PERMANOVA). PERMANOVAS were performed on the Bray-Curtis distance matrices of relative proportions derived from colonies counts and used 999 permutations. PERMANOVAS were run on PRIMER 6 software with PERMANOVA+ add on [41,42].

2.2. Experimental Organisms and Growth Conditions

Thirty cyanobacterial strains: 12 Scytonema spp., 10 Nostoc spp., and eight Tolypothrix spp. previously isolated as a part of our “microbial biocrust nurseries” protocols (see [38] as well as a description of the cyanobacterial community structure of the biocrust communities of origin), were used in our experiments. Briefly, strains were isolated from enrichment cultures in agar-solidified BG110 Petri plates followed by multiple streaking of colonies on fresh agar plates. Strain identity was first assessed by microscopy, and then confirmed by PCR amplification of the V4 region of the 16S rRNA gene using cyanobacteria specific primers CYA359F/CYA781R [43] (PCR protocol therein), blast comparisons, and by placing the sequences on the cyanobacterial tree Cydrasil (https://itol.embl.de/tree/1491698589270801574806192). PCR products were sequenced using Sanger sequencing. All strains were unicyanobacterial, are kept in our local culture collection, and are available upon request. Strain accession numbers along with their denomination coding for site of origin can be found in Table S3. Stock cultures were grown in 175 mL cell culture flasks containing 100 mL of medium free of combined nitrogen (BG110). Cultures were maintained at 25 ± 2 °C, under a 14 h photoperiod, illuminated at 20–27 μmoL (photon) m−2 s−1 provided by white fluorescent tubes.

2.3. Delineation of Temperature Range for Growth and Survival of Isolates

Prior to inoculation, stock liquid cultures of each strain were homogenized by repeatedly forcing biomass through a 60 mL sterile syringe, and immediately washed with fresh BG110 medium by five consecutive centrifugations (8 min, 8437 g, 25 °C). Aliquots of this homogenized cultures served as inoculum (5% v/v) for experimental cultures, which were run on 50 mL cell culture flasks filled to the 20 mL mark. Each strain was incubated at 4, 15, 25, 30, 35, 40 and 45 °C in triplicate, exposed to a light intensity of 20–27 μmoL (photon) m−2 s−1 provided by white fluorescent tubes, in a 12 h photoperiod regime. Growth was estimated visually after 30 days as either positive for growth (there was an obvious increase in biomass at the end of the incubation period compared to initial inoculum) or negative for growth (either no-growth (stasis) or patent death). Assays assigned to “no-growth” looked healthy, with brightly pigmented cells, but did not show appreciable biomass increase during the incubation, whereas assays assigned to patent death exhibited a total loss of pigmentation. The whole experiment was replicated a second time in full, and growth in any of the trials was reported as positive.

2.4. Influence of Diazotrophy on the Upper Temperature Limit for Growth

A homogenized, cleaned culture mix was prepared for each of the strains as detailed above, and inoculated (5% v/v) in 50 mL cell culture flasks containing either medium without combined nitrogen (BG110) or nitrogen-containing medium (BG11). Triplicate cultures were incubated at 35 and 40 °C, illuminated with 20–27 μmol (photon) m−2 s−1 provided by white fluorescent tubes, in a 12 h photoperiod regimen, for 30 days.

2.5. Heterocyst and Vegetative Cell Counts

To determine the frequency of heterocysts we conducted microscopic cell counts on fresh wet mounts under bright field illumination in a Nikon labophot-2 compound microscope. At least 200 cells were counted in each determination. To determine the effect of nitrogen source and incubation temperature on heterocyst frequency we examined triplicate cultures of each strain at 25, 35 and 40 °C, all at day 7 after inoculation, time at which all tested strains appeared healthy. The full experiment was replicated for a total n = 6.

2.6. Chlorophyll a Determination

Chlorophyll a (Chl a) was measured as a proxy for phototrophic biomass. Chl a was extracted in triplicate, in 90% acetone, according to [44], vortexed for 30 s. and allowed to extract for 24 h at 4 °C in the dark. Extracts were clarified by centrifugation (5 m at 8437 g). Absorbance spectra of the clarified extracts was recorded on a UV-visible spectrophotometer (UV-1601, Shimadzu, Kyoto, Japan). Interference from scytonemin and carotenoids was corrected using the trichromatic equation of [45].

2.7. Meta-analysis of Temperature Niches

In an attempt to look for a temperature segregation pattern among the studied taxa in the natural biocrust environment, we performed a meta-analysis of all bacterial 16S rRNA tallies available publicly. We performed a literature search, and either downloaded from public databases or directly requested raw sequence data from authors from multiple environmental biocrust surveys conducted at different locations around the world. We collected data from different arid and semiarid regions in USA [6,34,46,47,48], Mexico [33] and Australia [49], from arid, semiarid and alpine regions in Europe [32,50], from the arid Gurbantunggut desert in China [51], and from the Brazilian savannah (Cerrado) [52]. A complete list of the biocrust surveys with locations, environmental variables, and other relevant information can be found in Table S4.
For all but the dataset from [34], forward reads obtained with pyrosequencing [51] and paired-end reads obtained with Illumina were demultiplexed, and quality controlled using the DADA2 plugin [53] available in Qiime 2018.6 [54], creating a feature table containing representative sequences (features) and their frequency of occurrence. Highly variable positions were removed using MAFFT [55], and phylogenetic trees were generated using FastTree [56]. Preliminary taxonomic assignment was done using the Naïve Bayes classifier [57] trained on the Greengenes 13.8 release database [58]. For the [34] dataset, because quality files (.fastq) were not available, and in an effort to control for sequence quality before preforming any downstream analysis, raw sequences were first filtered using USEARCH 7 [59] to remove all sequences with less than 210 bp. Overall this step filtered out up to 5% of the total sequences in some but not all samples. Additionally, the first and last 10 bp of each sequence were trimmed using Fastx (http://hannonlab.cshl.edu/fastx_toolkit/). Quality controlled sequences were assigned to individual samples and barcodes were removed using Qiime 1.8 [54] using the multiple_split_librairies_fastq.py script. Operational taxonomic units (OTUs) were defined with a threshold of 97% similarity and clustered using UCLUST [59] using the pick_open_reference_otus.py script in Qiime. Potential chimeras, and singleton OTUs were removed from further consideration. Preliminary taxonomic assignments were done with the RDP (Ribosomal Database Project) classifier [60], and representative sequences were then aligned against the Greengenes database core reference alignment [58].
Cyanobacterial sequences (features) and OTUs were filtered out from the master file, and a more refined taxonomic assignment at the genus and species level was further informed throughout phylogenetic placements. Query cyanobacterial sequences (and OTUs) were phylogenetically placed in our cyanobacteria reference tree CYDRASIL version-0.22a (https://github.com/FGPLab/ cydrasil/tree/0.22a, accessed in July, 2019), by aligning sequences to the cyanobacterial tree alignment using PaPaRa [61], and then placing them into the reference tree using the RaxML8 Evolutionary Placement Algorithm [62]. The resulting trees were imported and visualized in the iTOL4 server [63]. Accession numbers of representative strains of the clades in which Scytonema spp., Nostoc spp. and Tolypothrix spp. were assigned according to CYDRASIL are included in Table S1.
The proportion of Scytonema spp., Nostoc spp. and Tolypothrix spp. within the heterocystous cyanobacterial community was calculated by dividing the number of reads of either Scytonema spp., Nostoc spp. or Tolypothrix spp., by the sum of the number of reads of all N2-fixing cyanobacteria found at each location. Resulting proportions were plotted against the mean annual temperature (MAT) and the mean temperature of the wettest quarter of the year (growth season) in each location of origin. A total of 25 (out of 109) locations at which the total relative abundance of N2-fixing cyanobacteria was lower than 0.5 % of all reads were excluded from final plots. Mean annual temperature and mean temperature of the wettest quarter of the year were calculated from environmental variables of monthly climate data for minimum, mean, and maximum temperature and for precipitation for 1970-2000. Data was downloaded from WorldClim -Global Climate Data -version 2 (http://www.worldclim.org; [64]. Linear regressions between the proportion of sequence reads (arcsine transformed) of each taxon among heterocystous cyanobacteria and climatic parameters (MAT and MTempWetQ) were used to test significance of environmental patterns.

3. Results

3.1. Encrichment Cultivation

Enrichment cultures for diazotrophic photoautotrophs carried out at different temperatures using inoculum from four different biocrusts were very revealing. Only heterocystous cyanobacteria were enriched for in our medium free of nitrate and ammonium, and all 994 colonies examined belonged to one of the three major clades known from biocrusts: Nostoc spp., Tolypothrix spp., and Scytonema spp. [19], as determined by microscopic inspection. The relative proportions obtained, however, were strongly dependent on the temperature of incubation (Figure 1). The composition of the enrichments at 4 °C was significantly different from those growing at 25 °C (PERMANOVA pseudo-F: 6.22 df: 22 p ≥ 0.001) and 30 °C (PERMANOVA pseudo-F: 9.36 df: 22 p ≥ 0.001); the same was true for the comparison of 25 and 30 °C (PERMANOVA pseudo-F: 6.43 df: 22 p ≥0.001). Scytonema spp. made up the majority of the colonies at 30 °C, whereas Tolypothrix spp. was preferentially selected for at 4 °C. Nostoc spp. had a slight advantage at lower temperatures as well. This was so regardless of the origin of the crusts used for inoculation, in that there was no significant effect on outcomes by location (PERMANOVA, p ≤ 0.2; full dataset presented in Table S2).

3.2. Temperature Range for Growth (or Survival) of Isolated Strains

All cyanobacterial strains (tested in medium without combined N) showed robust growth at 15 and 25 °C, while none grew at 45 °C (Figure 2), the lower limit of moderate thermophilly. Formally then, all these strains were mesophiles with respect to temperature. At 4 °C, all Tolypothrix spp. strains grew well, while only one Scytonema sp. strain did. At this temperature, three Nostoc spp. strains did not grow, while five strains were in apparent stasis (they neither grew nor show signs of cellular degradation). At 30 °C four out of eight Tolypothrix spp., nine out of ten Nostoc spp., and eleven out of twelve Scytonema spp. strains grew well. At 35 and 40 °C, no Nostoc spp. or Tolypothrix spp. strains grew, while eleven out of twelve Scytonema spp. did.

3.3. Upper Temperature Limit for Growth and N2-Fixation

We looked at growth (and survival) responses more in detail as a function of nitrogen source (N2-fixing vs. non N2-fixing conditions) in the upper range of temperature (35 and 40 °C) in an effort to infer if N2-fixation was the most sensitive cellular process determining the observed outcomes. Figure 3 shows the biomass yield of the 30 cyanobacterial strains after 30 days of growth cultivated in medium without combined nitrogen (nitrogen-free) and nitrogen replete media.
Our results show that providing a source of fixed nitrogen expanded the range for growth in many of them to 35 °C (Scytonema spp. JS003; Nostoc spp. HS002, HS094, HS013, Tolypothrix spp., HSN032, HSN033, HSN034) and in some cases, strains survived at 40 °C (Nostoc spp. HSN008, HS020, HS002, HS096, FB23, FB26; Tolypothrix sp. HSN042). The last column in Figure 3. shows the biomass yield in nitrogen replete minus that attained in medium without combined nitrogen at 35 °C, indicating a generalized positive effect on growth under nitrogen-replete conditions. For sixteen out of thirty strains this difference in growth was significant. This gives support to the contention that the upper temperature for growth may be determined by the sensitivity of N2-fixation in Nostoc spp. and Tolypothrix spp.; whereas it is not nearly as determinant for Scytonema spp.

3.4. Heterocyst Frequency

To determine if this effect on N2-fixation was perhaps due to an inability to develop heterocysts (a developmentally specialized cell type dedicated to this process), we conducted microscopic counts of vegetative cells and heterocysts in strains incubated for seven days at different temperatures (Table 1). Counts were performed only on apparently healthy filaments, but at 35 and 40 °C, biomass from all replicates of Nostoc sp. HSN008 and Tolypothrix sp. HSN042 looked yellowish, and microscopy revealed high cell mortality as well. In fact, in one occasion, one set of replicates of Nostoc sp. HSN008 did not survive to day 7 (Table 1). All strains grown at 25 °C looked healthy when counts were performed. Those caveats aside, the frequency of heterocysts declined precipitously for Nostoc spp. strains above 35 degrees, and above 30 degrees for Tolypothrix spp. strains. In Scytonema spp., there were only slight decreases in this frequency in the temperature range tested. This is consistent with a cell developmental basis for the sensitivity of N2-fixation to high temperatures in Nostoc spp. and Tolypothrix spp.

3.5. Thermal Niche of Biocrust Heterocystous Cyanobacteria through Meta-Analyses of Molecular Surveys

A total of 84 locations from eleven different biocrust surveys conducted in different arid and semiarid regions in North and South America, Europe, Australia, and China, and in the Brazil Savannah (see Table S4), were used in a meta-analysis to assess the relative contribution of the three main clades of heterocystous cyanobacteria along temperature related parameters. Figure 4 shows the relative proportion of Scytonema spp., Nostoc spp. and Tolypothrix spp., plotted against the mean annual temperature (MAT) of origin and the corresponding mean temperature during the wettest quarter of the year (MTempWetQ). MTempWetQ was used as a proxy for growth season since biocrust organisms are metabolically active only when water is available [65] and are relatively insensitive to heat stress when dry. The relative abundance of Scytonema spp. was positively correlated with MAT (p = 4 × 10−4) and with MTempWetQ (p = 10−8); Nostoc spp. was negatively correlated with MAT (p = 5 × 10−3) and with MTempWetQ (p= 10−7). The relative abundance of Tolypothrix spp. was also negatively correlated with MAT (p= 0.035) and with MTempWetQ (p = 3 × 10−3). Using linear regression on arcsine transformed data, MAT explained 15, 9 and 1 of the variability in Scytonema spp., Nostoc spp. and Tolypothrix spp., respectively. The explanatory power of MTempWetQ was much higher in all cases, rising to 32, 28 and 11%, respectively. Based on MTempWetQ, Scytonema spp. could attain dominance at warmer temperatures (Figure 4A), while at lower temperatures, Tolypothrix spp. (Figure 4C), followed by Nostoc spp. (Figure 4B) attain higher maximal relative abundances. Detailed statistics are in Supplementary Materials (Figure S1, Tables S5–S10).

4. Discussion

The cyanobacteria Scytonema spp., Nostoc spp. and Tolypothrix spp. are secondary colonizers in the ecological succession of biocrust communities [6], where they are among the most common heterocystous organisms [6,19,32,38,50], and contribute much of the nitrogen inputs to the community at this stage of development [66]. Therefore, it is logical to assume that their presence and relative abundance have direct effects on the N2-fixation capability of late successional biocrusts. Using quantitative enrichment cultures we could clearly demonstrate differential fitness in these cyanobacteria at different temperatures, in a pattern that confirms the preferences inferred in prior field [32,34] and cyanobacterial cultures thermophysiological assays [32,33,34], where the biocrust cyanobacteria M. steenstrupii complex and Scytonema spp. were found to be more thermotolerant than M. vaginatus, and Tolypothrix spp. and Nostoc spp., respectively.
Using a set of cultivated strains (12 Scytonema spp., 10 Nostoc spp. and eight Tolypothrix spp.) isolated from cold and hot desert locations of the Southwestern US, the temperature range for growth revealed a pattern of niche differentiation according to temperature: Tolypothrix spp. strains having an advantage at the lower temperatures, and Scytonema spp. strains at higher temperatures. Nostoc spp. strains occupied only the mesic part of the temperature range. This niche separation is similar to that found in non-heterocystous filamentous cyanobacteria of soil crusts [34], and parallels the much more conspicuous niche differentiation of cyanobacteria known from hot springs at temperatures between 45-73 °C [67]. Similar niche separation in cyanobacterial genera are found as a function of salinity [68,69] or desiccation frequency in marine intertidal systems [70]. We could also show that the upper temperature limit for growth (and survival) under N2-fixing conditions is more constrained than that under non N2-fixing conditions (Figure 3), implicating N2-fixation as a possible driver of the effective upper limit of temperature range in nature. Although measurements of N2-fixation rates (by acetylene reduction assay or 15N isotopes) would give a much more direct result, the observed thermophysiological responses of the tested strains at 35 °C, coincide with more dramatic decreases in N2-fixation rates (above 30 °C) in cold than in hot biocrusts locations [31], and are congruent with the fact that Nostoc spp. and particularly Tolypothrix spp. are more abundant in biocrusts from colder locations, while Scytonema spp. typically dominate in warmer ones [32,33,34].
In an effort to better understand the basis for this effect on N2-fixation we determined the ratio of heterocyst frequency at different temperatures in a selected set of strains, which were responsive to our experimental conditions (Scytonema sp. JS006, Nostoc sp. HSN008 and Tolypothrix pp. HSN042, Figure 3). The results suggest that in Nostoc spp. and Tolypothrix spp., the impossibility of these strains to grow under N2-fixation conditions at temperatures above 30 °C may be determined by an inability to carry out the sophisticated developmental cycle leading to the differentiation of heterocysts [71]. While Scytonema spp. may have overcome such developmental problems (Table 1), nitrogenase denaturation, which has been reported to happen at temperatures above 39 °C [72] could be the basis for the observed differences in Scytonema spp. strains’ biomass yield at 35 °C (Figure 3). It is also possible that the observed inability of Nostoc spp. and Tolypothrix spp. strains to differentiate heterocysts at higher temperatures is the result of a resource allocation constraint to obtain the energy required to differentiate these specialized cells. However, N2-fixation and heterocyst differentiation at temperatures above 40 °C is not a problem in principle, in that the freshwater thermophilic cyanobacterium Mastigocladus laminosus performs N2-fixation at 45 °C [73], and is able to grow at temperatures as high as 57 °C [74]. Whether the observed heterocyst frequency decrease in Nostoc spp. and Tolypothrix spp. is a direct effect of temperature rather than a side effect due to stress on other physiological processes will need further investigation.
We tested the relevance of this temperature-based niche differentiation in nature by studying the distribution of the three cyanobacterial types as a function of climate parameters in a meta-analysis of a large dataset of biocrust surveys. Indeed, we found that the maximal relative proportion of Scytonema spp. among all heterocystous cyanobacteria increased along the temperature gradient with increasing temperatures (Figure 4A), when the average temperatures of the growth (wet) season was considered. Clearly, however, the results point to a potential for differential sensitivity of these cyanobacteria to environmental warming, a future scenario with which biocrust will have to contend. Drylands at large will likely become warmer and drier in response to global warming. In particular, the US Southwest is predicted to experience an increase in temperature of about 1 °C per decade [26], accompanied by alterations in precipitation frequency [35,36].
Given the observed differential response of biocrust N2-fixing cyanobacteria to temperature, and in agreement with Muñoz-Martín et al., (2018), it is reasonable to forecast that a microbial replacement within biocrust heterocystous cyanobacteria may indeed be in store as a result of global warming. Scytonema spp. may replace more cold- and mesic-temperature adapted Tolypothrix spp. and Nostoc spp. In places such as the Colorado Plateau, the Mojave desert, the north part of the Chihuahuan Desert (Sevilleta LTER) in the USA, Alicante in Spain, Western Australia [49], temperate areas in Mexico [33], and the Brazilian savannah (Cerrado) [52], where the mean annual temperature during the growth season falls between the 17 and 23 °C range, this microbial replacement will likely happen faster than at those locations exhibiting mean average temperatures below 17 °C, that are not projected to reach sensitive temperature ranges for decades to centuries, or locations with average temperatures above 24 °C, which already exhibit a dominance of Scytonema spp. (Figure 4). This microbial replacement could have implications for drylands and biocrust nitrogen inputs beyond a mere compositional change. Scytonema spp. have been shown to be one of the most sensitive taxa in biocrust to changes in precipitation patterns [47]. In this scenario, the N2-fixing cyanobacteria taxa that seem to be better adapted to withstand increases in temperature, ironically, seem to be among the least adapted to withstand drought. Although it makes sense that cyanobacterial distribution patterns with increasing temperature became more apparent when mean temperature during the wettest quarter of the year was used as an explanatory variable, we were surprised by the fact that plots using MAT did not show clearer patterns (Figure 4). This highlights the need to take into account the ecophysiology of microorganisms when seeking to find important climatic drivers.
These results can also serve to improve strategies to restore biological soil crust communities, of much recent interest in conservation ecology [46,75], by providing information to optimize inoculation season and microbial inoculum formulations.

Supplementary Materials

The following are available online at https://www.mdpi.com/2076-2607/8/3/396/s1, Table S1: Accession numbers for the main generic groups for Scytonema spp. Nostoc spp. and Tolypothrix spp. according to our taxonomic assignment using our own cyanobacterial reference tree CYDRASIL., Table S2: Outcome of enrichment cultures for nitrogen-fixing photoautotrophs (nitrogen and organic carbon free medium, in the light) using variously sourced biocrusts as inoculum as a function of the incubation temperature. Given are the number of colonies containing each cyanobacterial taxa of interest, as identified morphologically by microscopy inspection. “S” stands for Scytonema spp., “N” for Nostoc spp., and “T” for Tolypothrix spp., Table S3: Cyanobacterial strains and their accession number in NCBI of their partial 16S rRNA sequence. Strain denominations include coding for the site of origin (HSN: cold desert sandy clay loam soil; HS: cold desert clay loam soil; FB: warm desert loamy sandy soil; JS: warm desert clay loam soil), Table S4: Environmental biocrust surveys conducted at different locations around the world used in the meta-analysis, and the corresponding climate data. Raw sequences were downloaded from bacterial 16S rRNA tallies available publicly (see references). Environmental data was downloaded from WorldClim. “MAT” stands for mean annual temperature and “MTemWetQ” for mean temperature during the wettest quarter of the year (growth season)., Table S5: Full results for linear regression between relative proportions (arcsine transformed) of Scytonema spp. and mean annual temperature (MAT)., Table S6: Full results for linear regression between relative proportions (arcsine transformed) of Scytonema spp. and mean temperature during the wettest quarter of the year (MTemWetQ)., Table S7: Full results for linear regression between relative proportions (arcsine transformed) of Nostoc spp. and mean annual temperature (MAT)., Table S8: Full results for linear regression between relative proportions (arcsine transformed) of Nostoc spp. and mean temperature during the wettest quarter of the year (MTemWetQ)., Table S9: Full results for linear regression between relative proportions (arcsine transformed) of Tolypothrix spp. and mean annual temperature (MAT)., Table S10: Full results for linear regression between relative proportions (arcsine transformed) of Tolypothrix spp. and mean temperature during the wettest quarter of the year (MTemWetQ)., Figure S1. Linear regressions between the proportion of sequence reads (arcsine transformed) of each taxon among heterocystous cyanobacteria and climatic parameters (MAT and MTempWetQ).

Author Contributions

Conceptualization, A.G.-S. and F.G.-P.; methodology, A.G.-S., V.M.C.F. and J.B.; validation, A.G.-S and F.G.-P.; formal analysis, A.G.-S; investigation, A.G.-S.; data curation, A.G.-S. and F.G.-P.; writing—original draft preparation, A.G.-S.; writing—review and editing, A.G.-S. and F.G.-P.; visualization, A.G.-S.; supervision, F.G.-P.; project administration, A.G.-S.; funding acquisition, F.G.-P. All authors have read and agreed to the published version of the manuscript.

Funding

This research was partly funded by the Barret-Honors College at Arizona State University and by the Center for Bio-mediated & Bio-inspired Geotechnics (CBBG) at Arizona State University.

Acknowledgments

We would like to thank the late Richard W. Castenholz for his pioneering work on the role of temperature on the ecology of cyanobacteria, which showed us the path forward.

Conflicts of Interest

The authors declare no conflict of interest.

References

  1. Garcia-Pichel, F. Desert Environments: Biological Soil Crusts. In Encyclopedia of Environmental Microbiology 6 Volume; Bitton, G., Ed.; Set. Wiley-Interscience: New York, NY, USA, 2003; pp. 1019–1023. [Google Scholar]
  2. Weber, B.; Caldwell, M.M.; Jayne, B.; Bettina, W.; Büdel, B.; Belnap, J.; Weber, B.; Büdel, B. Biological Soil Crusts: An Organizing Principle in Drylands. In Biological Soil Crusts: An Organizing Principle in Drylands; Springer: Basel, Switzerland, 2016; pp. 3–14. ISBN 978-3-319-30212-6. [Google Scholar]
  3. Gaskin, S.; Gardner, R. The role of cryptogams in runoff and erosion control on Bariland in the Nepal middle hills of the Southern Himalaya. Earth Surf. Process. Landf. 2001, 26, 1303–1315. [Google Scholar] [CrossRef]
  4. Belnap, J.; Gillette, D.A. Disturbance of Biological Soil Crusts: Impacts on Potential Wind Erodibility of Sandy Desert Soils in Southeastern Utah. Land Degrad. Dev. 1997, 8, 355–362. [Google Scholar] [CrossRef]
  5. Zhang, Y.M.; Wang, H.L.; Wang, X.Q.; Yang, W.K.; Zhang, D.Y. The microstructure of microbiotic crust and its influence on wind erosion for a sandy soil surface in the Gurbantunggut Desert of Northwestern China. Geoderma 2006, 132, 441–449. [Google Scholar] [CrossRef]
  6. Couradeau, E.; Karaoz, U.; Lim, H.C.; Nunes da Rocha, U.; Northen, T.; Brodie, E.; Garcia-Pichel, F. Bacteria increase arid-land soil surface temperature through the production of sunscreens. Nat. Commun. 2016, 7, 1–7. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  7. Verrecchia, E.; Yair, A.; Kidron, G.J.; Verrecchia, K. Physical properties of the psammophile cryptogamic crust and their consequences to the water regime of sandy softs, north-western Negev Desert, Israel. J. Arid Environ. 1995, 427–437. [Google Scholar] [CrossRef]
  8. Rodríguez-Caballero, E.; Cantón, Y.; Chamizo, S.; Afana, A.; Solé-Benet, A. Effects of biological soil crusts on surface roughness and implications for runoff and erosion. Geomorphology 2012, 145–146, 81–89. [Google Scholar] [CrossRef]
  9. Faist, A.M.; Herrick, J.E.; Belnap, J.; Zee, J.W.V.; Barger, N.N. Biological soil crust and disturbance controls on surface hydrology in a semi-Arid ecosystem. Ecosphere 2017, 8. [Google Scholar] [CrossRef]
  10. Garcia-Pichel, F.; Wojciechowski, M.F. The evolution of a capacity to build supra-cellular ropes enabled filamentous cyanobacteria to colonize highly erodible substrates. PLoS ONE 2009, 4, e7801. [Google Scholar] [CrossRef]
  11. Nunes da Rocha, U.; Cadillo-Quiroz, H.; Karaoz, U.; Rajeev, L.; Klitgord, N.; Dunn, S.; Truong, V.; Buenrostro, M.; Bowen, B.P.; Garcia-Pichel, F.; et al. Isolation of a significant fraction of non-phototroph diversity from a desert biological soil crust. Front. Microbiol. 2015, 6, 1–14. [Google Scholar] [CrossRef]
  12. Nagy, M.L.; Pérez, A.; Garcia-Pichel, F. The prokaryotic diversity of biological soil crusts in the Sonoran Desert (Organ Pipe Cactus National Monument, AZ). FEMS Microbiol. Ecol. 2005, 54, 233–245. [Google Scholar] [CrossRef] [Green Version]
  13. Soule, T.; Anderson, I.J.; Johnson, S.L.; Bates, S.T.; Garcia-Pichel, F. Archaeal populations in biological soil crusts from arid lands in North America. Soil Biol. Biochem. 2009, 41, 2069–2074. [Google Scholar] [CrossRef]
  14. Bates, S.T.; Nash, T.H.; Garcia-Pichel, F. Patterns of diversity for fungal assemblages of biological soil crusts from the southwestern United States. Mycologia 2012, 104, 353–361. [Google Scholar] [CrossRef] [PubMed]
  15. Ullmann, L.; Büdel, B. Ecological Determinants of Species Composition of Biological Soil Cruts on a Landscape Scale.pdf. In Biological Soil Cruts: Structure, Function, and Managment; Belnap, J., Lange, O.L., Eds.; Springer: Berlin/Heidelberg, Germany, 2001; pp. 203–213. [Google Scholar]
  16. Johnson, S.L.; Budinoff, C.R.; Belnap, J.; Garcia-Pichel, F. Relevance of ammonium oxidation within biological soil crust communities. Environ. Microbiol. 2005, 7, 1–12. [Google Scholar] [CrossRef]
  17. Pepe-Ranney, C.; Koechli, C.; Potrafka, R.; Andam, C.; Eggleston, E.; Garcia-Pichel, F.; Buckley, D.H. Non-cyanobacterial diazotrophs dominate dinitrogen fixation in biological soil crusts during early crust formation. ISME J. 2015, 10, 287–298. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  18. Couradeau, E.; Giraldo-Silva, A.; De Martini, F.; Garcia-Pichel, F. Spatial segregation of the biological soil crust microbiome around its foundational cyanobacterium, Microcoleus vaginatus, and the formation of a nitrogen-fixing cyanosphere. Microbiome 2019, 7, 1–12. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  19. Yeager, C.M.; Kornosky, J.L.; Morgan, R.E.; Cain, E.C.; Garcia-Pichel, F.; Housman, D.C.; Belnap, J.; Kuske, C.R. Three distinct clades of cultured heterocystous cyanobacteria constitute the dominant N2-fixing members of biological soil crusts of the Colorado Plateau, USA. FEMS Microbiol. Ecol. 2007, 60, 85–97. [Google Scholar] [CrossRef] [Green Version]
  20. Johnson, S.L.; Neuer, S.; Garcia-Pichel, F. Export of nitrogenous compounds due to incomplete cycling within biological soil crusts of arid lands. Environ. Microbiol. 2007, 9, 680–689. [Google Scholar] [CrossRef]
  21. Strauss, S.L.; Day, T.A.; Garcia-Pichel, F. Nitrogen cycling in desert biological soil crusts across biogeographic regions in the Southwestern United States. Biogeochemistry 2012, 108, 171–182. [Google Scholar] [CrossRef]
  22. Thiet, R.K.; Boerner, R.E.J.; Nagy, M.; Jardine, R. The effect of biological soil crusts on throughput of rainwater and N into Lake Michigan sand dune soils. Plant Soil 2005, 278, 235–251. [Google Scholar] [CrossRef]
  23. Thomazo, C.; Couradeau, E.; Garcia-Pichel, F. Possible nitrogen fertilization of the early Earth Ocean by microbial continental ecosystems. Nat. Commun. 2018, 9, 1–8. [Google Scholar] [CrossRef]
  24. Beraldi-Campesi, H.; Hartnett, H.E.; Anbar, A.; Gordon, G.W.; Garcia-Pichel, F. Effect of biological soil crusts on soil elemental concentrations: Implications for biogeochemistry and as traceable biosignatures of ancient life on land. Geobiology 2009, 7, 348–359. [Google Scholar] [CrossRef] [PubMed]
  25. Prăvălie, R. Drylands extent and environmental issues. A global approach. Earth Sci. Rev. 2016, 161, 259–278. [Google Scholar] [CrossRef]
  26. Seager, R.; Vecchi, G.A. Greenhouse warming and the 21st century hydroclimate of southwestern North America. Proc. Natl. Acad. Sci. USA 2010, 107, 21277–21282. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  27. Petrie, M.D.; Collins, S.L.; Litvak, M.E. The ecological role of small rainfall events in a desert grassland. Ecohydrology 2015, 8, 1614–1622. [Google Scholar] [CrossRef]
  28. Petrie, M.D.; Collins, S.L.; Gutzler, D.S.; Moore, D.M. Regional trends and local variability in monsoon precipitation in the northern Chihuahuan Desert, USA. J. Arid Environ. 2014, 103, 63–70. [Google Scholar] [CrossRef]
  29. Elbert, W.; Weber, B.; Burrows, S.; Steinkamp, J.; Büdel, B.; Andreae, M.O.; Pöschl, U. Contribution of cryptogamic covers to the global cycles of carbon and nitrogen. Nat. Geosci. 2012, 5, 459–462. [Google Scholar] [CrossRef]
  30. Barger, N.N.; Castle, S.C.; Dean, G.N. Denitrification from nitrogen-fixing biologically crusted soils in a cool desert environment, southeast Utah, USA. Ecol. Process. 2013, 2, 1–9. [Google Scholar] [CrossRef] [Green Version]
  31. Zhou, X.; Smith, H.; Giraldo Silva, A.; Belnap, J.; Garcia-Pichel, F. Differential Responses of Dinitrogen Fixation, Diazotrophic Cyanobacteria and Ammonia Oxidation Reveal a Potential Warming-Induced Imbalance of the N-Cycle in Biological Soil Crusts. PLoS ONE 2016, 11, e0164932. [Google Scholar] [CrossRef]
  32. Muñoz-Martín, M.Á.; Becerra-Absalón, I.; Perona, E.; Fernández-Valbuena, L.; Garcia-Pichel, F.; Mateo, P. Cyanobacterial biocrust diversity in Mediterranean ecosystems along a latitudinal and climatic gradient. New Phytol. 2018, 221, 123–141. [Google Scholar] [CrossRef] [Green Version]
  33. Becerra-Absalón, I.; Muñoz-Martín, M.Á.; Montejano, G.; Mateo, P. Differences in the Cyanobacterial Community Composition of Biocrusts From the Drylands of Central Mexico. Are There Endemic Species? Front. Microbiol. 2019, 10, 1–21. [Google Scholar] [CrossRef] [Green Version]
  34. Garcia-Pichel, F.; Loza, V.; Marusenko, Y.; Mateo, P.; Potrafka, R.M. Temperature Drives the Continental-Scale Distribution of Key Microbes in Topsoil Communities. Science 2013, 340, 1574–1577. [Google Scholar] [CrossRef] [PubMed]
  35. Cable, J.M.; Huxman, T.E. Precipitation pulse size effects on Sonoran Desert soil microbial crusts. Oecologia 2004, 141, 317–324. [Google Scholar] [CrossRef] [PubMed]
  36. Knapp, A.K.; Beier, C.; Briske, D.D.; Classen, A.T.; Luo, Y.; Reichstein, M.; Smith, M.D.; Smith, S.D.; Bell, J.E.; Fay, P.A.; et al. Consequences of More Extreme Precipitation Regimes for Terrestrial Ecosystems. Bioscience 2008, 58, 811–821. [Google Scholar] [CrossRef]
  37. Sala, O.E.; Lauenroth, W.K. Small Rainfall Events: An Ecological Role in Semiarid Regions. Oecologia 1982, 53, 301–304. [Google Scholar] [CrossRef] [PubMed]
  38. Giraldo-Silva, A.; Nelson, C.; Barger, N.; Garcia-Pichel, F. Nursing biocrusts: Isolation, cultivation and fitness test of indigenous cyanobacteria. Restor. Ecol. 2019, 27, 793–803. [Google Scholar] [CrossRef]
  39. Allen, M.M.; Stanier, R. Growth and Division of Some Unicellular Blue-green Algae. J. Gen. Microbiol. 1968, 51, 199–202. [Google Scholar] [CrossRef] [Green Version]
  40. Rippka, R.; Deruelles, J.; Waterbury, J.B. Generic assignments, strain histories and properties of pure cultures of cyanobacteria. J. Gen. Microbiol. 1979, 111, 1–61. [Google Scholar] [CrossRef] [Green Version]
  41. Clarke, K.; Gorley, R. Primer v6: User Manual/Tutorial; PRIMER-E: Plymouth, UK, 2006. [Google Scholar]
  42. Anderson, M.; Gorley, R.N.; Clarke, K.R. PERMANOVA + for PRIMER: Guide to Software and Statistical Methods; PRIMER-E: Plymouth, UK, 2008. [Google Scholar]
  43. Nübel, U.; Muyzer, G.; Garcia-pichel, F.; Muyzer, G. PCR primers to amplify 16S rRNA genes from cyanobacteria PCR Primers To Amplify 16S rRNA Genes from Cyanobacteria. Microbiology 1997, 63, 3327–3332. [Google Scholar]
  44. Castle, S.C.; Morrison, C.D.; Barger, N.N. Extraction of chlorophyll a from biological soil crusts: A comparison of solvents for spectrophotometric determination. Soil Biol. Biochem. 2011, 43, 853–856. [Google Scholar] [CrossRef]
  45. Garcia-Pichel, F.; Castenholz, R.W. Characterization and biological implications of scytonemin, a cyanobacterial sheath pigment. J. Phycol. 1991, 409, 395–409. [Google Scholar] [CrossRef]
  46. Velasco Ayuso, S.; Giraldo Silva, A.; Nelson, C.; Barger, N.N.; Garcia-pichel, F. Microbial Nursery Production of High- Quality Biological Soil Crust Biomass for Restoration of Degraded Dryland Soils. Appl. Environ. Microbiol. 2017, 83, 1–16. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  47. Fernandes, V.M.C.; Machado de Lima, N.M.; Roush, D.; Rudgers, J.; Collins, S.L.; Garcia-Pichel, F. Exposure to predicted precipitation patterns decreases population size and alters community structure of cyanobacteria in biological soil crusts from the Chihuahuan Desert. Environ. Microbiol. 2018, 20, 259–269. [Google Scholar] [CrossRef] [PubMed]
  48. Bethany, J.; Giraldo-Silva, A.; Nelson, C.; Barger, N.N.; Garcia-Pichel, F. Optimizing the Production of Nursery-Based Biological Soil Crusts for Restoration of Arid Land Soils. Appl. Environ. Microbiol. 2019, 85, 1–13. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  49. Moreira-Grez, B.; Tam, K.; Cross, A.T.; Yong, J.W.H.; Kumaresan, D.; Nevill, P.; Farrell, M.; Whiteley, A.S. The Bacterial Microbiome Associated With Arid Biocrusts and the Biogeochemical Influence of Biocrusts Upon the Underlying Soil. Front. Microbiol. 2019, 10, 1–13. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  50. Williams, L.; Loewen-Schneider, K.; Maier, S.; Büdel, B. Cyanobacterial diversity of western European biological soil crusts along a latitudinal gradient. FEMS Microbiol. Ecol. 2016, 92, 1–9. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  51. Zhang, B.; Kong, W.; Nan, W.; Zhang, Y. Bacterial diversity and community along the succession of biological soil crusts in the Gurbantunggut Desert, Northern China. J. Basic Microbiol. 2016, 56, 670–679. [Google Scholar] [CrossRef]
  52. Machado-de-Lima, N.M.; Fernandes, V.M.C.; Roush, D.; Velasco Ayuso, S.; Rigonato, J.; Garcia-Pichel, F.; Zanini Branco, L.H. The Compositionally Distinct Cyanobacterial Biocrusts From Brazilian Savanna and Their Environmental Drivers of Community Diversity. Front. Microbiol. 2019, 10, 1–10. [Google Scholar] [CrossRef]
  53. Callahan, B.J.; Mcmurdie, P.J.; Rosen, M.J.; Han, A.W.; Johnson, A.J.; Holmes, S.P. DADA2: High resolution sample inference from amplicon data. bioRxiv 2015, 13, 581–583. [Google Scholar] [CrossRef] [Green Version]
  54. Caporaso, J.G.; Kuczynski, J.; Stombaugh, J.; Bittinger, K.; Bushman, F.D.; Costello, E.K.; Fierer, N.; Peña, A.G.; Goodrich, J.K.; Gordon, J.I.; et al. QIIME allows analysis of high-thorughput community sequencing data. Nat. Methods 2010, 7, 335–336. [Google Scholar] [CrossRef] [Green Version]
  55. Katoh, K.; Standley, D.M. MAFFT Multiple Sequence Alignment Software Version 7: Improvements in Performance and Usability Article Fast Track. Mol. Biol. Evol. 2013, 30, 772–780. [Google Scholar] [CrossRef] [Green Version]
  56. Price, M.N.; Dehal, P.S.; Arkin, A.P. FastTree 2-Approximately maximum-likelihood trees for large alignments. PLoS ONE 2010, 5. [Google Scholar] [CrossRef] [PubMed]
  57. Xu, S. Bayesian Naïve Bayes classifiers to text classification. J. Inf. Sci. 2016, 44, 48–59. [Google Scholar] [CrossRef]
  58. McDonald, D.; Price, M.N.; Goodrich, J.; Nawrocki, E.P.; DeSantis, T.Z.; Probst, A.; Andersen, G.L.; Knight, R.; Hugenholtz, P. An improved Greengenes taxonomy with explicit ranks for ecological and evolutionary analyses of bacteria and archaea. ISME J. 2012, 6, 610–618. [Google Scholar] [CrossRef] [PubMed]
  59. Edgar, R.C. Search and clustering orders of magnitude faster than BLAST. Bioinformatics 2010, 26, 2460–2461. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  60. Wang, Q.; Garrity, G.M.; Tiedje, J.M.; Cole, J.R. Naive Bayesian classifier for rapid assignment of rRNA sequences into the new bacterial taxonomy. Appl. Environ. Microbiol. 2007, 73, 5261–5267. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  61. Berger, S.A.; Stamatakis, A. Aligning short reads to reference alignments and trees. Bioinformatics 2011, 27, 2068–2075. [Google Scholar] [CrossRef] [Green Version]
  62. Berger, S.A.; Krompass, D.; Stamatakis, A. Performance, accuracy, and web server for evolutionary placement of short sequence reads under maximum likelihood. Syst. Biol. 2011, 60, 291–302. [Google Scholar] [CrossRef] [Green Version]
  63. Letunic, I.; Bork, P. Interactive tree of life ( iTOL ) v3: An online tool for the display and annotation of phylogenetic and other trees. Nucleic Acids Res. 2016, 44, 242–245. [Google Scholar] [CrossRef]
  64. Fick, S.E.; Hijmans, R.J. WorldClim 2: New 1-km spatial resolution climate surfaces for global land areas. Int. J. Climatol. 2017, 37, 4302–4315. [Google Scholar] [CrossRef]
  65. Rajeev, L.; Da Rocha, U.N.; Klitgord, N.; Luning, E.G.; Fortney, J.; Axen, S.D.; Shih, P.M.; Bouskill, N.J.; Bowen, B.P.; Kerfeld, C.A.; et al. Dynamic cyanobacterial response to hydration and dehydration in a desert biological soil crust. ISME J. 2013, 7, 2178–2191. [Google Scholar] [CrossRef] [Green Version]
  66. Yeager, C.M.; Kornosky, J.L.; Housman, D.C.; Grote, E.E.; Belnap, J.; Kuske, C.R. Diazotrophic Community Structure and Function in Two Successional Stages of Biological Soil Crusts from the Colorado Plateau and Chihuahuan Desert. Appl. Environ. Microbiol. 2004, 70. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  67. Castenholz, R.W. Thermophilic blue-green algae and the thermal environment. Bacteriol. Rev. 1969, 33, 476–504. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  68. Nübel, U.; Garcia-Pichel, F.; Kuhl, M.; Muyzer, G. Spatial scale and diversity of benthic cyanobacteria and diatoms in a salina. In Molecular Ecology of Aquatic Communities. Developments in Hydrology; Zehr, J., Voytek, M.A., Eds.; Springer: Dordrecht, The Netherlands, 1999. [Google Scholar]
  69. Garcia-pichel, F.; Ku, M.; Nübel, U.; Muyzer, G. Salinity-dependent limitation of photosynthesis and oxygen exchange in microbial mats. J. Phycol. 1999, 35, 227–238. [Google Scholar] [CrossRef] [Green Version]
  70. Rothrock, M.J.; Garcia-Pichel, F. Microbial diversity of benthic mats along a tidal desiccation gradient. Environ. Microbiol. 2005, 7, 593–601. [Google Scholar] [CrossRef] [PubMed]
  71. Adams, D.G.; Duggan, P.S. Heterocyst and akinete differentiation in cyanobacteria. New Phytol. 1999, 144, 3–33. [Google Scholar] [CrossRef]
  72. Hennecke, H.; Shanmugam, K.T. Temperature control of nitrogen fixation in Klebsiella pneumoniae. Arch. Microbiol. 1979, 123, 259–265. [Google Scholar] [CrossRef]
  73. Nierzwicki Bauer, S.A.; Balkwill, D.L.; Stevens, S.E. Heterocyst differentiation in the cyanobacterium Mastigocladus laminosus. J. Bacteriol. 1984, 157, 514–525. [Google Scholar] [CrossRef] [Green Version]
  74. Miller, S.R.; Castenholz, R.W.; Pedersen, D. Phylogeography of the thermophilic cyanobacterium Mastigocladus laminosus. Appl. Environ. Microbiol. 2007, 73, 4751–4759. [Google Scholar] [CrossRef] [Green Version]
  75. Bowker, M.A.; Antoninka, A.J. Rapid ex situ culture of N-fixing soil lichens and biocrusts is enhanced by complementarity. Plant Soil 2016, 408, 415–428. [Google Scholar] [CrossRef]
Figure 1. Relative proportion of colonies assignable to Scytonema spp., Nostoc spp., and Tolypothrix spp. in enriched cultures obtained on medium without combined nitrogen as a function of incubation temperature.
Figure 1. Relative proportion of colonies assignable to Scytonema spp., Nostoc spp., and Tolypothrix spp. in enriched cultures obtained on medium without combined nitrogen as a function of incubation temperature.
Microorganisms 08 00396 g001
Figure 2. Temperature range at which the studied cyanobacterial strains can grow or survive under diazotrophic conditions. Colored rectangles indicate positive growth; hatched rectangles indicate stasis (no growth, but no obvious deterioration).
Figure 2. Temperature range at which the studied cyanobacterial strains can grow or survive under diazotrophic conditions. Colored rectangles indicate positive growth; hatched rectangles indicate stasis (no growth, but no obvious deterioration).
Microorganisms 08 00396 g002
Figure 3. Growth yield of N2-fixing cyanobacterial strains in the upper range of temperature for growth in nitrogen free (⚪) vs. nitrogen replete media (●). Rhombuses indicate the mean and error bars indicate ± 1 SE, with n = 3. Vertical dashed lines indicate the amount of inoculum provided. At 40 °C, only observational data were recorded: colored rectangles indicate survival and white rectangles indicate death. * Denotes statistically significant differences between growing conditions according to Wilcox’s test.
Figure 3. Growth yield of N2-fixing cyanobacterial strains in the upper range of temperature for growth in nitrogen free (⚪) vs. nitrogen replete media (●). Rhombuses indicate the mean and error bars indicate ± 1 SE, with n = 3. Vertical dashed lines indicate the amount of inoculum provided. At 40 °C, only observational data were recorded: colored rectangles indicate survival and white rectangles indicate death. * Denotes statistically significant differences between growing conditions according to Wilcox’s test.
Microorganisms 08 00396 g003
Figure 4. Proportion of sequence reads assignable to Scytonema spp. (A; orange), Nostoc spp. (B; yellow), and Tolypothrix spp. (C; blue) to those assignable to all heterocystous (Order Nostocales) cyanobacteria, in 16S rRNA molecular survey datasets, as a function of climate temperature indicators. Data are from biocrust communities surveyed at 84 locations around the world (see Table S4). Each dot represents a different location.
Figure 4. Proportion of sequence reads assignable to Scytonema spp. (A; orange), Nostoc spp. (B; yellow), and Tolypothrix spp. (C; blue) to those assignable to all heterocystous (Order Nostocales) cyanobacteria, in 16S rRNA molecular survey datasets, as a function of climate temperature indicators. Data are from biocrust communities surveyed at 84 locations around the world (see Table S4). Each dot represents a different location.
Microorganisms 08 00396 g004
Table 1. Frequency of heterocysts (number of vegetative cells per heterocyst) in representative cyanobacterial strains after incubation at 30, 35 and 40 °C for 7 days. Averages of n = 6 determinations ± standard deviation are given. H: heterocystous, VG: Vegetative cells.
Table 1. Frequency of heterocysts (number of vegetative cells per heterocyst) in representative cyanobacterial strains after incubation at 30, 35 and 40 °C for 7 days. Averages of n = 6 determinations ± standard deviation are given. H: heterocystous, VG: Vegetative cells.
StrainIncubation Temperature °C
253540
HVGRatio
H:VG
HVGRatio
H:VG
HVGRatio
H:VG
Nostoc spp.262301:9102071:21185691:32
232051:9122581:22287731:28
322061:6112231:20216421:31
242081:9132461:10237301:32
262071:8142361:17267011:27
222121:10---276891:26
Tolypothrix spp.354671:1366281:10539001:300
385071:1334441:14849001:225
405381:1322501:12529001:450
375571:1555761:11569001:150
436131:1465531:9249001:225
365821:1533241:10849001:224
Scytonema spp.275341:20153521:23125261:44
295531:1951501:20126001:50
326691:2172251:32105501:55
378441:2392761:32147081:44
183081:1782421:30166411:50
254121:1672331:334110871:55

Share and Cite

MDPI and ACS Style

Giraldo-Silva, A.; Fernandes, V.M.C.; Bethany, J.; Garcia-Pichel, F. Niche Partitioning with Temperature among Heterocystous Cyanobacteria (Scytonema spp., Nostoc spp., and Tolypothrix spp.) from Biological Soil Crusts. Microorganisms 2020, 8, 396. https://doi.org/10.3390/microorganisms8030396

AMA Style

Giraldo-Silva A, Fernandes VMC, Bethany J, Garcia-Pichel F. Niche Partitioning with Temperature among Heterocystous Cyanobacteria (Scytonema spp., Nostoc spp., and Tolypothrix spp.) from Biological Soil Crusts. Microorganisms. 2020; 8(3):396. https://doi.org/10.3390/microorganisms8030396

Chicago/Turabian Style

Giraldo-Silva, Ana, Vanessa M. C. Fernandes, Julie Bethany, and Ferran Garcia-Pichel. 2020. "Niche Partitioning with Temperature among Heterocystous Cyanobacteria (Scytonema spp., Nostoc spp., and Tolypothrix spp.) from Biological Soil Crusts" Microorganisms 8, no. 3: 396. https://doi.org/10.3390/microorganisms8030396

APA Style

Giraldo-Silva, A., Fernandes, V. M. C., Bethany, J., & Garcia-Pichel, F. (2020). Niche Partitioning with Temperature among Heterocystous Cyanobacteria (Scytonema spp., Nostoc spp., and Tolypothrix spp.) from Biological Soil Crusts. Microorganisms, 8(3), 396. https://doi.org/10.3390/microorganisms8030396

Note that from the first issue of 2016, this journal uses article numbers instead of page numbers. See further details here.

Article Metrics

Back to TopTop