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. 2019 Jul 5;8(10):e894. doi: 10.1002/mbo3.894

Ecophysiology and phylogeny of new terricolous and epiphytic chlorolichens in a fog oasis of the Atacama Desert

Patrick Jung 1,, Dina Emrich 1, Laura Briegel‐Williams 1, Michael Schermer 1, Lena Weber 1, Karen Baumann 2, Claudia Colesie 3, Philippe Clerc 4, Lukas W Lehnert 5, Sebastian Achilles 6, Jörg Bendix 6, Burkhard Büdel 1
PMCID: PMC6813448  PMID: 31276321

Abstract

The Atacama Desert is one of the driest and probably oldest deserts on Earth where only a few extremophile organisms are able to survive. This study investigated two terricolous and two epiphytic lichens from the fog oasis “Las Lomitas” within the National Park Pan de Azúcar which represents a refugium for a few vascular desert plants and many lichens that can thrive on fog and dew alone. Ecophysiological measurements and climate records were combined with molecular data of the mycobiont, their green algal photobionts and lichenicolous fungi to gain information about the ecology of lichens within the fog oasis. Phylogenetic and morphological investigations led to the identification and description of the new lichen species Acarospora conafii sp. nov. as well as the lichenicolous fungi that accompanied them and revealed the trebouxioid character of all lichen photobionts. Their photosynthetic responses were compared during natural scenarios such as reactivation by high air humidity and in situ fog events to elucidate the activation strategies of this lichen community. Epiphytic lichens showed photosynthetic activity that was rapidly induced by fog and high relative air humidity whereas terricolous lichens were only activated by fog.

Keywords: gas exchange, ITS, lichen, lichenicolous fungi, rbcL, Trebouxia


The Atacama Desert is one of the driest and probably oldest deserts on Earth where indigenous lichens are reported to grow. This article presents the phylogeny of two epiphytic and two terricolous lichens, their photobionts and fungal parasites and describes their eco‐physiological adaptations.

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1. INTRODUCTION

The Atacama Desert in South America represents the driest place and the oldest desert on Earth and has experienced extreme hyperaridity for at least 3 million years (Hartley, Chong, Houston, & Mather, 2005). The desert stretches over more than 3,500 km along the western Pacific coastline from the region Trujillo in Peru near the Ecuadorian border (8°S) to La Serena in the centre of Chile (29°S). Its ancient temperate arid to hyper‐arid characteristics are caused by the Humboldt Current. In addition to surviving the low water availability, plant life must be adapted to extremely high intensities of photosynthetic active radiation (PAR), a high temperature amplitude and strong wind erosion. In contrast to the harsh desert environment, Las Lomitas, situated in close vicinity to the Pacific Ocean, represents a local fog oasis in the National Park Pan de Azúcar in the southern part of the Atacama Desert (Rundel, Dillon, & Palma, 1996). Here, fog together with dew and high relative air humidity are the main and frequent sources of water (Thompson, Palma, Knowles, & Holbrook, 2003). Fog water in this region is formed by upstreaming maritime air and as such it is the result of the combination of topography, seasonal wind field and trade inversion height (Borthagaray, Fuentes, & Marquet, 2010; Lehnert, Thies, et al., 2018; Muenchow et al., 2013). The occurrence of fog at Las Lomitas creates a narrow ecological niche for the establishment of at least some vascular plants with a very low coverage which is composed mainly of a few cacti and Euphorbia shrubs. Both length and intensity of fog events is highly variable resulting in a wide range of daily water inputs that can reach up to 16.6 mm precipitation available for lichens on a single day (Lehnert, Thies, et al., 2018). Lichens at Las Lomitas grow epiphytically on cacti and shrubs or as crustose patches on the ground (terricolous) (Baumann et al., 2018; Bernhard et al., 2018).

Lichens represent an obligate mutualistic ectosymbiosis between at least one eukaryotic green algal or cyanobacterial species (photobiont) and one fungal species (mycobiont). Recently, a number of ascomycete macrolichens have been found to consist of more than one mycobiont (Spribille et al., 2016), and for many other lichens, other associations as for example with lichenicolous fungi have been revealed. Although lichenicolous fungi are very common, little is known about their identity or the extent to which they can interact with their hosts (Lawrey & Diederich, 2003; Tuovinen et al., 2019). The poikilohydric character of lichens plays a crucial role during the survival of long periods of desiccation: lichens are inactive when dry but become rapidly reactivated when water is available (Green & Lange, 1995). Even high relative air humidity (>90%) has been shown to be sufficient for photosynthetic activity in a number of lichens with a green algal photobiont (chlorolichens) (Colesie, Green, Raggio, & Büdel, 2016; Lange, Kilian, & Ziegler, 1986; Raggio et al., 2017). In addition to high air humidity, epiphytic chlorolichens of the genera Ramalina and Usnea are known to thrive in the Atacama Desert in high abundance due to the capability to capture water from incoming fog. Fog interception should not be confused with condensation (Villegas, Tobón, & Breshears, 2008) as it is comparable to filter feeding by aquatic invertebrates (Larson, 1981; Stanton & Horn, 2013), and seems to be related to lichen growth form (Lange & Redon, 1983; Stanton, 2015). This was demonstrated for lichens from the coastal fog zone of the Namib Desert, where these lichens with the highest surface to volume ratio reached the highest photosynthesis rates and also made most effective use of different water sources (Lange, Meyer, Ullmann, & Zellner, 1991). Fog water capture by epiphytic fruticose lichens is so efficient, that it can result in dripping water, a frequently observed phenomenon in the Atacama Desert, which is known to influence the soil hydrology underneath the cacti (Stanton et al., 2014). However, it remains unclear to which extent terricolous lichens in the Atacama Desert can use different sources of water and how their morpho‐anatomical characteristics influence their ecophysiological pattern.

Morphological adaptations on various levels as for example growth form, anatomy but also photobiont diversity determine ecophysiological patterns (e.g. Colesie, Williams, & Büdel, 2017), which have rarely been investigated for lichens from the Atacama Desert (Lange & Redon, 1983). Since terricolous lichens have been recently reported to show a large range of adaptations and rapid responses to their environment (Green, Pintado, Raggio, & Sancho, 2018), the present study aims to compare and describe the ecophysiological patterns of the two most abundant terricolous and epiphytic lichens of an isolated lichen community. Further, the usage of various water sources and how thallus morpho‐anatomical and hydrological traits influence photosynthetic activity is investigated. Additionally, the mycobiont and photobiont of the examined lichens, as well as their specific lichenicolous fungi, are sequenced with a multi gene loci approach in order to elucidate their taxonomic identity.

2. MATERIAL AND METHODS

2.1. Study site

The National Park Pan de Azúcar is located between 25°53′ and 26°15′S, and 70°29′ and 70°40′W along the Pacific coast in Chile, in the southern part of the Atacama Desert. A narrow pediment close to the coast characterizes the local topography with a steep mountain ridge reaching altitudes up to 850 m a.s.l. that descends slightly towards the inland to altitudes between 700 and 400 m a.s.l. The study site “Las Lomitas” is located in a local fog oasis in the National Park Pan de Azúcar, close to the coastal crest of the first mountain ridge. The annual rainfall is less than 13 mm in average, but totals can be higher due to extreme precipitation events which occur occasionally in El Niño and El Niño‐like years when sea surface temperature anomalies off the coast are positive. An average temperature of 13°C during winter (July) and 20°C during summer (January) with daily maxima occasionally exceeding 26°C have been recorded (Rundel et al., 1996; Thompson et al., 2003). Relative air humidity under clear sky conditions is between 80% and 85% with fog affecting the coastal areas. Cacti such as Eulychnia saint‐pieana and shrubs of Euphorbia lactiflua dominate the vegetation at parts of Las Lomitas (Bernhard et al., 2018). Here, the cacti are highly occupied by epiphytic lichens (Stanton et al., 2014). Only a few crustose terricolous lichen species occur in this area of the Atacama Desert, forming a so‐called biological soil crust (BSC), which also includes cyanobacteria, free living green algae and fungi. They cover between 30% and 40% of the front ridge (Baumann et al., 2018; Lehnert, Jung, Obermeier, Büdel, & Bendix, 2018; Lehnert, Thies, et al., 2018). In August 2017, a high proportion of lichens were found to be associated with lichenicolous fungi, visible by blackish deformations or galls of the lichen thalli.

2.2. Climate stations

Three automatic weather stations were installed in March 2016 at Las Lomitas as described in Lehnert, Thies, et al. (2018). The stations were equipped with standard sensors measuring wind speed, wind direction, surface and air temperatures, relative humidity and precipitation as well as PAR. Fog water fluxes were measured using cylindrical fog collectors (“harp”‐type) and a dew balance at the ground level where BSCs (mainly crustose lichens) had been glued on. An analysis regarding fog and dew water fluxes was published in Lehnert, Thies, et al. (2018).

2.3. Sample collection

The two most abundant terricolous lichen species of the genus Acarospora and Placidium (both crustose growth form) (Bernhard et al., 2018), were sampled randomly along the ridge (25°59′03″S; 70°36′55″W; 764 m a.s.l.; Appendix Tables A1 and A2) by pressing eight sterile 9‐cm diameter Petri dishes 1 cm deep into the soil. Excess soil was removed with the Petri dish lid. Samples were air‐dried in the field immediately after collection. The two most abundant epiphytic lichens of the genus Ramalina (fruticose hairlichen) and Everniopsis (fruticose) (Stanton et al., 2014) were picked from cacti and Euphorbia bushes and stored in paper bags. Ten replicates of each lichen species were collected. The dry lichen samples were preserved at −20°C in plastic boxes until further processing. For this study, the samples were slowly defrosted before they were used for the laboratory analyses.

2.4. Isolation of photobionts

The algal partners of all lichen species were isolated from a clean thallus edge by removing small lichen pieces with a razor blade and carefully squeezing them between a microscope slide and cover slip to obtain a green suspension of algal cells and fungal hyphae. Under a binocular stereoscope, a group of algal cells was then transferred with a pipette to a petri dish with solidified Bold's Basal Medium as described for green algae in Baumann et al. (2018). After three to four weeks, visible algal colonies were streaked onto new plates for purification to obtain single‐cell based colonies. The isolates were used to capture microscopic images for comparison of the morphological features of the algae with the phylogenetic results.

2.5. Light microscopy

Thin sections of 20–25 µm thickness of the lichen thalli were prepared with a freezing microtome in order to maintain the inner structure of the lichen thalli. The samples were investigated with a light microscope with AxioVision software (Axioskop, Zeiss, Germany) under 630 magnification and oil immersion.

Cultured photobiont colonies were also investigated using light microscopy.

2.6. DNA extraction and amplification

Prior to DNA extraction, lichen fragments that were not affiliated with lichenicolous fungi were carefully washed with distilled water to remove epiphytic algae and adhesive soil under a binocular stereoscope. Specimens that were colonized by lichenicolous fungi were treated in the same way but here only blackish lichenicolous material was picked from the lichen thallus. Sample preparation was followed by DNA extraction using cetrimonium bromide method followed by phenol‐chloroform‐isoamyl alcohol purification adapted for lichens (Shivji, Rogers, & Stanhope, 1992). This resulted in genomic DNA from the mycobiont and its photobiont as well as the lichenicolous fungus. After DNA extraction the DNA was purified with the NucleoSpin® Gel and PCR Clean‐up Kit (Macherey‐Nagel GmbH & Co. KG, Düren, Germany). The DNA was stored at −20°C until further processing.

Two gene loci were addressed for the mycobiont DNA (internal transcribed spacer [ITS], large subunit of RNA polymerase II [RPB1]), three gene loci for the green algal photobiont DNA (18S rDNA; 26S rDNA; large subunit of the plastid gene ribulose‐1,5‐biphosphate carboxylase/oxygenase [rbcL]) and one for the lichenicolous fungi (internal transcribed spacer [ITS]) in subsequent PCRs. Difficulties during sequencing of the mycobiont and lichenicolous fungi have been reported because universal DNA barcodes do not exist (Schoch et al., 2012). After testing several recent primer pairs and PCR conditions (Matheny, Liu, Ammirati, & Hall, 2002; Schmitt et al., 2009; Schoch et al., 2012; Westberg, Millanes, Knudsen, & Wedin, 2015; Williams et al., 2017; Zhao et al., 2017), the following final settings were used for the mycobiont: the primer pair ITS1f and LR3 (ITS) and gRPB1‐A and fRPB1‐C (RPB1) after Westberg et al. (2015) and Zhao et al. (2017) respectively. The lichenicolous fungi were inseparably connected to the lichen thallus and therefore always mixed with DNA of the mycobiont. Due to a high affinity for lichenicolous DNA the primer pair ITS1f and LR3 (ITS) were chosen to sequence the lichenicolous fungi. All fungal PCRs were conducted in a volume of 25 µl in illustra PuReTaq Ready‐To‐Go PCR bead tubes (GE Healthcare, UK), because common PCR methods were tested and found to be less successful. The green algal photobiont DNA was amplified with the primer pairs Al1500af (18S rDNA) and LR3 (26S rDNA) and rbcLf and rbcLr (rbcL) both after the conditions described in Williams et al. (2017).

The PCR products were purified with the NucleoSpin® Gel and PCR Clean‐ up Kit (Macherey‐Nagel GmbH & Co. KG, Düren, Germany) and sent to SeqIT (Kaiserslautern) for Sanger sequencing.

All obtained sequences were submitted to the European Nucleotide Archive (ENA; Appendix Table A2).

2.7. Phylogeny

The sequences were BLASTed against the GenBank data base (http://blast.ncbi.nlm.nih.gov/Blast.cgi) in order to find the most similar sequences which were subsequently incorporated into the alignment. The ClustalW algorithm was applied for all alignments in Mega X (version 10.0.5, Kumar, Stecher, Li, Knyaz, & Tamura, 2018). One alignment for each gene region was prepared. Ambiguous regions were adjusted or removed manually allowing smaller final blocks and gap positions within the final blocks. Xanthoria parietina KJ027708.1 was included as root for the fungi and Chlorella sorokiniana KX495084.1 was included as root for the green algae trees. A Maximum Likelihood method with 500 bootstrap replications and the Kimura‐2‐parameter model (Kimura, 1980) was calculated for each alignment with Mega X as well as Bayesian phylogenetic analyses with Mr. Bayes 3.2.1 (Ronquist & Huelsenbeck, 2003). Both used gamma‐distributed rates.

The resulting phylogenetic trees were compared and as they did not differ significantly from each other the alignments were concatenated. One phylogenetic tree including two gene regions for the mycobiont, one tree including only the ITS gene region for the lichenicolous fungi and one tree including three gene regions for the photobionts were calculated as mentioned above and visualized using FigTree version 1.4.3. All alignments were deposited at dryad https://doi.org/10.5061/dryad.jc06126 and the publicly available sequences that were used to create the alignments can be seen in Appendix Tables A3, A4, A5.

2.8. Gas exchange

CO2 gas exchange measurements were conducted under controlled laboratory conditions using two minicuvette systems in parallel (CMS400 and GFS 3,000, Walz Company, Effeltrich, Germany). The CO2 gas exchange response in the light (net photosynthesis, NP) and in the dark (dark respiration, DR) was determined for five replicates of each terricolous lichen species and for five replicates of each epiphytic lichen species (Appendix Table A1) after Colesie, Green, Haferkamp, and Büdel (2014).

Before investigating the lichens’ NP response to different light conditions, the samples were submerged in water for 20 min at room temperature to guarantee water saturation. After removing them from the water they were shaken to remove excess water and placed into the cuvette and exposed to increasing light intensities (0; 15; 25; 50; 75; 100; 150; 300; 500; 1,000; 1,500; 2000 µmol photons m−2 s−1) at 17°C with ambient CO2 concentrations. Each measuring cycle started in the dark and lasted for 45 min until NP under the highest light intensity was reported. These cycles were repeated until the samples were completely dry. The light saturation point (LSP) was defined as the photosynthetic photon flux density at 90% of maximum NP. The light compensation point (LCP) was calculated as that light intensity at which NP compensates respiration.

Photosynthetic reactivation from high relative air humidity alone was tested by placing completely desiccated lichen samples in the gas exchange cuvette, exposed to an air stream of 90% and 95% relative air humidity, respectively at 17°C. The samples were kept in the dark for 45 min during which one measurement point was reported, representing the DR. Afterwards the light was switched on with an intensity of 800 µmol photons m2 s−1 for 15 min to obtain an NP value at the end of the interval. This light‐dark cycle was repeated for 24 hr.

To determine the optimal thallus water content for net photosynthesis, the samples were submerged in water for 20 min at room temperature to guarantee saturation directly after the experiment where they were exposed to 24 hr of high relative air humidity. After this, they were placed back into the cuvette at 800 μmol photons m−2 s−1, incident light, ambient CO2 concentrations and 17°C, which represents the realistic conditions found in the Atacama Desert (Bernhard et al., 2018). The CO2 exchange of the samples was recorded in alternating intervals in the dark to obtain DR values and afterwards during the given light intensity for NP values until the sample was completely desiccated and showed no further response. After each DR and NP measurement, the samples were weighed to report the weight loss by evaporating water during desiccation. After the measurement, the lichens were dried at 65°C for 3 days in a drying oven (Heraeus Instruments T6P, Thermo Fisher Scientific Inc.) and weighed to obtain their dry weight. The thallus water content during the measurements could then together with the dry weight of the sample be calculated as equivalent of mm precipitation.

After completion of all experiments the CO2 exchange of the samples was related to their chlorophyll content, chlorophylla+b was extracted after the method described by Ronen and Galun (1984).

2.9. Chlorophyll fluorescence

PAM fluorometry (pulse amplitude modulation) is based on the supply of weak, modulated light pulses (the measuring light), which allow chlorophyll fluorescence to be monitored without inducing photosynthesis. This method can be used to calculate the quantum yield of photosystem II (Y(II)) as a rapid response to different environmental conditions such as reactivation by fog. The quantum yield is measured under ambient light and calculated as Y(II) = (Fm′ − Ft)/Fm′, with Ft being the continuous chlorophyll fluorescence measured immediately before Fm′. Fm′ equals the maximum chlorophyll fluorescence when all reaction centers of photosystem II are closed due to the saturation light impulse of the instrument. PAM measurements were conducted with two Teaching‐PAMs (Gademann Instruments, Würzburg, Germany) in situ before, during and after a representative short fog event under ambient light. Eight replicates of each of the two terricolous lichen species next to the climate station as well as eight replicates of each of the two epiphytic lichens (Appendix Table A1) that were growing attached to cacti in close vicinity were measured at intervals of 3–5 min under foggy conditions. In the laboratory, an additional eight replicates of each lichen were submersed in water for 20 min to reach a fully hydrated state in the dark and measured again. Field measurements were calculated to their corresponding yield in a completely hydrated status and are therefore given in percent. Photosynthetic yield values can strongly vary between lichen species and are shown in percent to their maximum yield in order to compare the four lichen species (see Appendix Table A6 for original values). Yield values lower than 0.2 were treated as not active (Leisner, Bilger, & Lange, 1996). Temperature was recorded using the same instruments simultaneously with the PAM measurements.

2.10. Statistics

Statistics for LSP and LCP were calculated using the software Statistica (Version 9.1; StatSoft Inc. 2010). The data were tested for normal distribution using a Shapiro–Wilk test. After all data were found to be normally distributed and homogeneity of variances was verified using Levene test a one‐way ANOVA followed by Tukey post hoc test was used to detect differences between groups. Unless otherwise noted, significant differences refer to p ≤ 0.05.

2.11. Protection of human subjects and animals

The protocol and procedures employed were reviewed and approved by an appropriate institutional review committee.

3. RESULTS

3.1. Climate

Soil surface temperature (Figure 1a) and air temperature (Figure 1c) as well as PAR (Figure 1d) were highest during noon throughout the year. During summer (February–April) maximum temperatures of 40°C at surface level and 15°C in the air were recorded. Highest temperatures during winter (July–September) varied between 22°C at surface level and 11°C in the air. While soil surface temperature varied strongly during the day a constant air temperature of 12°C was recorded, (Figure 1e). PAR exceeded 2000 µmol m−2 s−1 at noon in summer time (Figure 1d). Fog water interception reached its maximum before noon during the winter period exceeding 490 ml h−1 m−2 (Figure 1b).

Figure 1.

Figure 1

Climate recording from 2017. Given are the air temperature (a), fog water deposition (b), soil surface temperature (c) and PAR (photosynthetic active radiation) (d) as averages across the months of 2017 and the daytime. (e) Represents an average daily course of air and soil surface temperature and PAR during 2017 with standard deviations

3.2. Phylogeny

The mycobiont phylogeny revealed that three of the newly generated sequence groups highly support the other Placidium species. Unfortunately, we were not able to assign them to species level because they are polyphyletic (Figure 2a,e). The sequences of the three replicates were identical to each other. The sampled Acarospora species joined an Acarospora clade (Figure 2a,b) but revealed low similarity (87%–94%) to other Acarospora sequences at species level. The sequences of Everniopsis trulla (Ach.) Nyl. from this study fall within a clade with other sequences of this species which originated from the study site vicinity (Figure 2a,c). The sequenced Ramalina species clustered with publicly available sequences of other Ramalina species but could not be assigned to any known species based on the obtained sequences (Figure 2a,d).

Figure 2.

Figure 2

Phylogenetic tree of the lichen mycobionts rooted to Xanthoria parietina KJ027708.1 and micrographs. (a) Concatenated maximum‐likelihood tree (ITS + RBP1) of the mycobionts. Numbers at nodes represent first the ML bootstrap support (values ≥ 50%) and second the posterior probabilities from the Bayesian analysis (values ≥ 50%). The scale indicates the numbers of substitutions per site and generated sequences are connected by color code to the corresponding micrographs (orange = terricolous lichens; blue = epiphytic lichens). Micrographs of the terricolous Acarospora conafii is given in (b), Everniopsis trulla in (c), Ramalina thrausta in (d) and Placidium sp. in (e). Scale bar for images is 1 cm

The sequences of the photobionts from Placidium sp. were highly similar to Trebouxia asymmetrica Friedl & Gärtner, whereas the green algal photobiont of E. trulla joined the Trebouxia impressa clade and the Acarospora and Ramalina photobionts were highly similar to each other and to Trebouxia arboricola Puymaly but formed their own clades (Figure 3).

Figure 3.

Figure 3

Phylogenetic tree of the lichen photobionts rooted to Chlorella sorokiniana KX495084.1 and micrographs. (a) Concatenated maximum‐likelihood tree (18S rDNA; 26S rDNA; rbcL) of the Trebouxia photobionts. Numbers at nodes represent first the ML bootstrap support (values ≥ 50%) and second the posterior probabilities from the Bayesian analysis (values ≥ 50%). The scale indicates the numbers of substitutions per site and generated sequences are connected by color code to the corresponding micrographs (orange = terricolous lichens; blue = epiphytic lichens). The micrographs show thin sections of the lichens with their photobionts (b, d, f, and h) and images taken from the photobionts in culture (c, e, g, and i) with a scale bar of 10 μm. (b and c) Show the photobionts of Everniopsis trulla (Trebouxia impressa clade), (d and e) of Placidium sp. (T. asymmetrica clade), (f and g) Acarospora conafii and Ramalina thrausta (h and i) (both T. arboricola clade)

The Ramalina species was found to be affiliated with a black gall forming lichenicolous fungi of the genus Tremella (Figure 4a–c) that was highly related to T. ramalinae Diederich (98%) but formed a distinct cluster. The epinecral layer of the Placidium species was strongly colonized by a member of the genus of Neonectria (Figure 4a,d,e) which is a saprophytic fungus that only grew within the very top layer of the lichen, not penetrating the pigment layer. The crustose Acarospora species was strongly affiliated with a Polysporina species (Figure 3a,f,g) that clustered with a separated Polysporina subfuscescens clade with high similarity (98%) as the lichenicolous fungi.

Figure 4.

Figure 4

Phylogenetic tree of the lichenicolous fungi rooted to Xanthoria parietina KJ027708.1 and micrographs. (a) ITS maximum‐likelihood tree of the photobionts. Numbers at nodes represent the ML bootstrap support (values ≥ 50%) and second the posterior probabilities from the Bayesian analysis (values ≥ 50%). The scale indicates the numbers of substitutions per site and generated sequences are connected by color code to the corresponding micrographs (orange = terricolous lichens; blue = epiphytic lichens). Micrographs show the gall of Tremella sp. attached to R. thrausta (white triangle, b) and as thin section of the same gall (c). Neonectria sp. is shown on top of the thallus of Placidium sp. (d) and within the epinecral layer of the lichen (e). The infected thalli of Acarospora conafii are shown in (f) and Polysporina sp. within the pycnidia of the lichen in (g)

3.3. Morphology

The Acarospora species showed a morphology that did not fit to any of the described species of the genus and contained a photobiont layer that was arranged in vertical algal stacks that were sometimes discontinued by vertical fungal stacks (Figure 5b). Therefore it has been deemed a new species and was named A. conafii which was supported by the phylogenetic placement.

Figure 5.

Figure 5

Microscopic cross‐sections of the investigated lichens. (a) Terricolous Acarospora conafii, (b) terricolous Placidium sp., both with vertical algal and fungal stacks. (c) Epiphytic Ramalina thrausta with photobiont nests and the epiphyte Everniopsis trulla with a horizontal photobiont layer (d). Scale bar represents 10 μm, each

Similar to A. conafii, Placidium also showed the structure of algal and fungal stacks. The morphological features such as a prominent epinecral layer (Figure 5a) as well as the presence of two celled spores did not reflect any described species of the genus, nor did those of highly related genera such as Heteroplacidium or Placidiopsis. For these reasons the definite identity of Placidium sp. remains unresolved until further phylogenetic investigations will address this.

The morphological features of the investigated Ramalina species resembled those of Ramalina thrausta (Ach.) Nyl. and showed a nested orientation of the photobionts (Figure 5c).

A detailed description of the new species A. conafii is given below.

3.4. Species descriptions

A. conafii spec. nov. P. Jung et B. Büdel

MycoBank No.: (830,228).

Type: Chile, Region de Atacama (III), National Park Pan de Azúcar, top of Coastal Cordillera, close to the coast in sites with fog events, 740 m. a.s.l., terricolous on quarzitic substrate, 24.vii.2017, P. Jung (Holotype‐HBG 024,635, isotype‐CONC 187,495).

Thallus: crustose to aerolate‐verrucose structure, pale yellow‐greenish to intensively light green. Areoles 0.25–1 mm in diameter, roundish to angular, convex; sometimes with crystals of gypsum on top of the upper cortex. Thallus morphology can be variable, some show warts on the upper cortex, others have more flexuouse than verrucose thalli. Upper cortex 40–110 µm thick, with the first 10–50 µm being pigmented; hyphae roundish, mucilaginous and translucent. Algal layer 40–70 µm thick with photobionts arranged in algal stacks; photobiont is the green alga Trebouxia sp., cells 8.5 µm in diameter. Medulla continuously present, about 120 µm thick, interspersed by crystals from the substratum, no further differentiation of hyphae. Lower cortex missing; thalli attached to the substratum without rhizines.

Apothecia not found.

Pycnidia Pycnidia globose, hyaline, 250–300 µm from bottom to top, 150 µm wide, surrounded by algae; walls hyaline, about 20 µm thick, prosoplectenchymatous with periclinally arranged hyphae; cavity convoluted. Pycnidiospores hyaline, long‐ellipsoid, 2.0–3.5 × 1.0–1.2 µm; convex wart like ring on top of the cortex around the ostiolum.

Reactions: K‐, C‐, KC‐, P‐

Etymology: The species is named after CONAF, Corporación Nacional Forestal, which is a Chilean private, nonprofit organization, through which the Chilean state contributes to the development and sustainable management of the country's forest resources.

Remarks: The species was found in close vicinity to Caloplaca santessoniana ad int., Placidium sp. and Lecanora sp. Compared to known Acarospora species this species is somehow similar to A. gypsi‐deserti Cl. Roux & V. Wirth described from the Namib Desert but our species differs by its bright yellow‐ greenish colour, smaller squamules and a convex ring around the ostiolum. Phylogenetic comparisons based on the internal transcribed spacer (ITS) and the large subunit of RNA polymerase II (RPB1) placed the species within the Acarospora clade. Acarospora schleicheri (Ach.) A. Massal. appeared as the most similar species on a genetic level.

Ecology: The species can easily be recognized in the field by its vivid yellow‐greenish color and grows as crusts that can cover several square meters. Strong parasitism on the lichen by the lichenicolous fungus (Polysporina sp.) has been observed in the field and is known to suppress the formation of apothecia. This parasite grows inside of the pycnidia in a way that makes the parasitized lichen species appear dark and matt.

3.5. Photosynthetic response to light

Photosynthetic patterns revealed high LSP of 1,326 (±113) µmol m−2 s−1 and 1,347 (±119) µmol m−2 s−1 for the two terricolous lichens A. conafii and Placidium sp. and significantly lower LSP of 737 (±116) µmol m−2 s−1 and 718 (±133) µmol m−2 s−1 for the epiphytes E. trulla and R. thrausta (Figure 6a–d) (ANOVA, F(3) = 25.56; p < 0.01;Tukey HSD test, MQ = 19,014 (FG) = 11;p < 0.01). R. thrausta reached positive net photosynthesis at significantly lower LCPs than A. conafii (ANOVA, F(3) = 5.44; p = 0.015; Tukey HSD test, MQ = 1,055; (FG) = 11; p = 0.012). The LCPs from all other species were similar to each other (between 95 and 177 µmol m−2 s−1).

Figure 6.

Figure 6

Ecophysiological measurements of lichens. Gas exchange measurements of the four lichens (a–d) during exposure of the dry thalli to 90% relative air humidity (white section) and after full hydration until they were completely dehydrated (blue section). Water content of the thalli is given in mm H2O as equivalent to precipitation for (c) and (d). LSP = light saturation point and LCP = light compensation point are given in μmol photons s−1m2 and standard deviation, different letters indicate significant differences between the LSP and LCP of the species, each (n = 5). PAM measurement before, during and after a fog event (e) shows the yield of photosystem II in percent, calculated down to the corresponding 100% yield reached after full hydration of the thalli and the temperature recorded during the measurements. E = Everniopsis trulla; R = Ramalina thrausta; A = Acarospora conafii; P = Placidium sp. (n = 8 for each species)

3.6. Photosynthetic response to water

The two crustose lichens A. conafii and Placidium sp. did not react within 24 hr of exposure to air of 90% and 95% relative humidity (Figure 6a–d; white areas). The epiphytic lichen R. thrausta became active and showed positive net photosynthesis after 5 hr of exposure while E. trulla was reactivated already during the first hour after exposure. Reactivation patterns during an exposure to 95% relative air humidity showed a slightly higher respiration and net photosynthesis for R. thrausta and E. trulla than during 90% of exposure (data not shown).

During activation by liquid water the longest activity amplitude (7 hr of activity) was detected for Placidium sp. (Figure 6d; blue area) while the highest NP (18 nmol CO2 mg Chla+b −1 s−1) and DR (13 nmol CO2 mg Chla+b −1 s−1) were recorded for E. trulla (Figure 6b; blue area).

3.7. Chlorophyll fluorescence

The two terricolous lichen species A. conafii and Placidium sp. achieved 36.7% and 27.9%, respectively, of their maximum photosynthetic activity after the first 3 min of exposure to fog. During the further course of the experiment, A. conafii reached around 67% while Placidium sp. kept a maximum between 32% and 33% of its maximum yield.

The two epiphytes E. trulla and R. thrausta attached to cacti reached 73.9% and 72.1%, respectively, of their maximum photosynthetic yield after 3 min exposure to fog (Figure 6e). The values increased to 77.8% for E. trulla and to 80.5% for R. thrausta during further exposure to fog.

Temperature dropped during the fog event from 26°C to 12°C within 8 min. Experiments were repeated during comparable fog events and revealed identical results (data not shown).

4. DISCUSSION

4.1. Lichen phylogeny

The Acarospora sequences from GenBank utilized in this study represent the largest taxon sampling available with our addition of A. conafii as a new species (Westberg et al., 2015). Identifications within Verrucariaceae can be even more complicated due to a scarcity of discriminating morphological characters as well as a lack of phylogenetic data. These problems have also been highlighted and demonstrated for the mycobiont genera of Placidium, Clavascidium, Heteroplacidium and Psora by Prieto, Martínez, Aragón, Gueidan and Lutzoni (2012), Williams et al. (2017) and Moya et al. (2018) and prevent a clear assignment of the Placidium species investigated during this study. For these reasons, it is named Placidium sp. until closer phylogenetic investigations will clarify its identity based on a greater genetic data set.

To date some Ramalina species have been recorded for the coastal Atacama Desert that show a considerable morphological variation (Rundel, 1978; Santiago, Gonçalves, Gómez‐Silva, Galetovic, & Rosa, 2018) but this is the first record of R. thrausta for the southern hemisphere. Typical are the filamentous thin branches that are slightly and irregularly swollen, the small hooked shaped terminal soralia, the spot‐like to elongate pseudocyphellae and the presence of usnic acid only (Bowler, 1977). Apothecia are very rare in the Northern hemisphere and no information on the spore length is given. However, the specimen investigated here frequently does have apothecia and the spores are 9–16 × 2–4 µm. Interestingly there is a macaronesian species, Ramalina chondrina, that shares most morphological features with R. thrausta, but with apothecia containing spores of 14–17 × 5–6 µm and without hooked shaped soralia (Krog & Osthagen, 1980). It has been discussed previously whether both species would be synonyms or not but further taxonomic and phylogenetic studies of R. thrausta and R. chondria including the exemplars found in the Atacama Desert could solve this. However, R. thrausta was found to be the most dominant lichen extensively covering the tall, cylindrical cacti of E. saint‐pieana and in lower proportions also grew on Euphorbia shrubs. Together with other epiphytic lichens such as Usnea species, R. thrausta is part of the diet of Guanacos at Las Lomitas (personal observations) which has also been documented for Guanacos in northern parts of the desert where lichens comprise almost 70% of their diet (Raedeke & Simonetti, 1988). Hence, epiphytic lichens are likely to form the nutritional basis for higher trophic levels in the Atacama Desert, comparable to reindeer populations in the Arctic that feed on terricolous lichens (Cooper, Smith, & Wookey, 2001).

4.2. Associated lichenicolous fungi

At Las Lomitas, roughly 20% of the A. conafii population was found to be accompanied by a lichenicolous fungus highly related to P. subfuscescens (Nyl.) K. Knudsen & Kocourk (Figure 4a,f,g), which is a widely distributed, successful and aggressive parasite. This parasitic fungus invades the host's thalli through the ostioles of the pycnidia or perithecia and grows inside them (Figure 4f,g). It is known to suppress ascomata production of the host, to deplete the algal layer and finally destroy the host (Knudsen & Kocourkova, 2008). Besides Acarospora, Caloplaca species are also considered to be possible hosts. This was observed at the study site for C. santessoniana ad int. (Gaya et al., 2015), where up to 50% of the population was parasitized. Almost no specimens of A. conafii or C. santessoniana ad int. were found with apothecia, which might be caused by the strong parasitism (Knudsen & Kocourkova, 2008).

In contrast to the parasitic character of P. subfuscescens, a Neonectria species was found to persistently invade the epinecral layer of Placidium sp. (Figure 4a,d,e). According to the saprophytic character of some Neonectria species, the fungi stopped penetrating the lichen thallus at the pigmented layer, which was formed by living lichenized hyphae, spreading only within the epinecral layer composed of dead cells (Figure 4e).

Ramalina thrausta was moderately affiliated with a gall inducing Tremella sp. (Figure 4a–c) although lichenicolous species are among the most poorly known representatives of this genus (Millanes, Westberg, Wedin, & Diederich, 2012). Tremella species were reported from a wide range of lichen genera (Diederich et al. 2018), and they have been thought to be parasitic on the mycobiont (de los Rios, 2002; Millanes et al., 2012). Recently, Tuovinen at al. (2018) challenged their occurrence as uniformly mycoparasites by demonstrating that the hyphal stage of Letharia associated Tremella species are in close contact with algal cells. We cannot exclude interactions between the detected Tremella species and the photobionts of R. thrausta since we investigated only the gall stage of the lichenicolous fungus.

4.3. Structural adaptations

Interestingly, the photobiont layer of A. conafii and Placidium sp. is organized in vertical stacks that are separated by vertical channels of light‐transferring fungal hyphae known as algal and fungal stacks (Figure 5a,b). This feature has been described from other members of the same genus around the world as well as for Diplotomma atacamae Follmann another chlorolichen from the Atacama Desert, as a convergent evolutionary trait related to high insolation (Vondrak & Kubásek, 2013). However, according to results of the gas exchange experiments the presence of fungal and algal stacks did not extend the period of CO2 assimilation. PAR exceeded 2000 µmol photons s−1 m−2 during summer at the sampling site (Figure 1d), which was reflected in high LSP and LCP values of A. conafii and Placidium sp. Furthermore, the feature of fungal and algal stacks was initially thought to extend the period of CO2 assimilation but could not be supported by the authors nor within this study during gas exchange experiments.

In terms of morphology and ecophysiology the prominent epinecral layer of Placidium sp. may have played a crucial role since it was built from hyaline hyphae surrounded by a gelatinous matrix (Figure 5a). Hence, we assumed that the epinecral layer of Placidium sp. provided water to the photobiont layer underneath, increasing the duration of activity of the green algal cells. Acclimation of the epinecral layer to increased irradiation within a single species was observed for the cyanolichens Peltigera rufescens (Weiss) Humb. and P. praetextata (Sommerf.) Zopf (Dietz, Büdel, Lange, & Bilger, 2000). Additionally, the chlorolichen Psora decipiens (Hedw.) Hoffm. which also belongs to Verrucariaceae, shows an adaption towards xeric stress in a similar way to Placidium sp. by increasing the ability to take up water from the environment (Colesie et al., 2017). Morphological adaptation patterns were also found within the epiphytic lichens. For example, R. thrausta has a relatively thick cortex that was assumed to be a characteristic adaptation of fog zone lichens. A thick cortex may prevent mechanical damage and desiccation by wind, as has been shown especially for Ramalina species (Rundel & Bowler, 1974).

4.4. Ecophysiology

Surprisingly, both terricolous lichen species could not be reactivated by exposure to high relative air humidity (90%, Figure 6c,d or 95% data not shown) although this was long thought to be a common reactivation pattern in chlorolichens (Lange et al., 1986). Our results fit into a more recent understanding of lichen physiology, showing that other terricolous chlorolichens such as Acarospora gwynnii C. W. Dodge & E. D. Rudolph from very dry areas of the Darwin Mountains in Antarctica or Teloschistes lacunosus (Rupr.) Savicz from the Tabernas Drylands in Spain are unable to be reactivated by high air humidity between 98% and 100% alone (Colesie et al., 2014; Del Prado & Sancho, 2007). High relative air humidity is present at the Coastal Cordillera of the Atacama Desert due to the close vicinity to the Pacific Ocean even under cloud free conditions ranging from 80% to 85% at night and from 60% to 70% during daylight (Rundel et al., 1996). However, for most chlorolichens’ air humidity levels between 90% and 100% were shown to be sufficient to activate photosynthesis. The present levels of air humidity are likely rarely sufficient to activate lichen photosynthesis at Las Lomitas. Even a lower humidity is probably present at ground level due to higher soil surface temperatures and thus terricolous lichens of this environment could lack an adaptation mechanism allowing for reactivation by water vapor. In contrast, Del Prado and Sancho (2007) showed that T. lacunosus did not show photosynthetic activity although it was frequently exposed to relative air humidity ranging between 85% and 100% even at the pediment. They concluded that this is a long‐term effect within soil crust lichens from very dry environments where high atmospheric humidity and frequent maritime fogs are extremely favorable for lichen growth.

In contrast to the terricolous lichens, both epiphytes were able to be reactivated by high air humidity. This is especially interesting since the epiphytic R. thrausta and the terricolous A. conafii shared green algal photobionts that were highly similar to T. arboricola. This demonstrates that the ability to use high air humidity for photosynthetic activity may be mainly controlled by the mycobiont.

Fog provided as microscopic droplets of liquid water activated A. conafii and Placidium sp. within 3 min by up to 36.7% and 27.9% of their maximum activity, respectively. This suggests a fast photosynthetic reaction to even short fog events especially if compared to lichen fields from the Negev Desert which were dominated by the terricolous chlorolichens Gyalolechia fulgens (Sw.) Søchting, Frodén & Arup, Squamarina cartilaginea (With.) P. James and others where fog was not sufficient to activate photosynthesis (Veste, Littmann, Friedrich, & Breckle, 2001). During fog events Placidium sp. did not exceed 33% of its maximum activity as detected by PAM measurements (Figure 6e), suggesting that short fog events and water vapor are not sufficient to saturate the thallus of this lichen and its epinecral layer. This could be caused by a hydrophobic character of the thick epinecral layer as reported previously for various lichens (Lakatos, Rascher, & Büdel, 2006). On the other site, during gas exchange measurements Placidium sp. showed a longer duration of photosynthesis compared to A. conafii (Figure 6), which was probably caused by the increased water holding capacity of the well‐developed epinecral layer. Liquid water of more than 0.6 mm even caused photosynthetic depression of NP during the gas exchange measurements (Figure 6d). In addition, Placidium sp. had an optimum water content of 0.3–0.6 mm which was more than twice as high as for A. conafii (0.2 mm), probably caused by the epinecral layer. This is comparable to a study conducted by Büdel, Vivas, and Lange (2013), who found that the optimum water content of Placidium squamulosum from the Sonoran Desert ranged from 0.5 to 0.7 mm. Terricolous lichens from arid lands of Utah such as Psora cerebriformis W. A. Weber and Diploschistes diacapsis (Ach.) Lumbsch showed optimal NP rates during comparable measurements by Lange et al. 1997 at 17°C of 0.8 and >1 mm, respectively, demonstrating that Placidium sp. and especially A. conafii are adapted to very low amounts of water coming from fog and dew.

High LSP and LCP values of all four lichens were considered as typical for lichens from areas with high light intensities. The obtained values are comparable to those reported for e.g., the terricolous lichens D. diacapsis, P. cerebriformis and Squamarina lentigera (Weber) Poelt from arid lands of Utah (Lange et al. 1997) or two morphospecies of the epiphytic Ramalina menziesii Taylor from a coastal and an inland habitat in central California (Matthes‐Sears, Nash, & Larson, 1987).

The epiphytic species R. thrausta was found to be efficient in fog water interception leading to dripping water and thus might improve host plant water use by microenvironmental modification as it has been demonstrated for Ramalina species from the same study site (Stanton et al., 2014). Especially during the winter season oversaturation of the epiphytic lichens can be observed at Las Lomitas when fog depositions reach up to 490 ml h−1 m−2 (Figure 1b). In addition to heavy fog, also short fog events were sufficient for R. thrausta and also E. trulla which reached and sustained 80% of their total photosynthetic yield after 3 min (Figure 6e). In 1983, Lange and Redon showed that E. trulla and other Ramalina species growing as epiphytes in the fog oasis of Fray Jorge in the South of the Atacama Desert could thrive even under an extremely low water potential of −251 bar, highlighting their adaptions towards arid conditions. They could also demonstrate that high amounts of water vapor at Fray Jorge were found to saturate the lichen thalli during night, leading to efficient NP during the early morning hours (Lange & Redon, 1983).

5. CONCLUSION

The lichen community with terricolous and epiphytic chlorolichens from the fog oasis Las Lomitas within the National Park Pan de Azúcar in the Atacama Desert showed morphological and ecophysiological features that enabled them to cope with the present climatic and environmental conditions. It can be assumed that morphological features such as algal and fungal stacks or the swelling capacity of the epinecral layer of the two terricolous lichens are adaptations that enable them to thrive in this area of the Atacama Desert while ecophysiological traits such as a fast reactivation by high air humidity and fog were part of the success of the epiphytic lichens. Besides this, a high photobiont diversity of different Trebouxia species as well as various lichenicolous and saprophytic fungi such as Tremella sp., Neonectria sp. and Polysporina sp. demonstrated the hidden microbial diversity within the Atacama Desert. It remains speculative if the described Acacrospora conafii is endemic to this area or if it is restricted to other fog oases in the Atacama Desert or elsewhere.

CONFLICT OF INTERESTS

The authors declare that they have no conflict of interest.

AUTHOR CONTRIBUTIONS

PJ designed the study, conducted measurements and prepared the manuscript, DE sequenced the mycobiont, photobiont and parasites, MS prepared the micrographs, KB conducted field measurements, LW and CC analyzed the gas exchange patterns, LL, JB and SA recorded and analyzed the climatic data, PC helped during the identification of the lichens, LBW guided this work and BB designed the study and guided this work. All authors commented on the manuscript.

ETHICS STATEMENT

The protocol and procedures employed were reviewed and approved by an appropriate institutional review committee in collaboration with the Chilean collaboration partners of the Corporación Nacional Forestal (CONAF).

ACKNOWLEDGMENTS

The authors thank the Corporación Nacional Forestal (CONAF), Chile, for their support during field work and Othmar Breuss for his help regarding the investigations of Placidium sp. We also want to thank Matthias Schultz and Norbert Jürgens for providing material of Acarospora gypsi‐deserti. Pan de Azúcar is a study site of the priority program EarthShape (“Earth Surface Shaping by Biota”) funded by the German Research Foundation (BE1780/44‐1, BU666/19‐1, LE903/14‐1).

APPENDIX 1.

Table A1.

Description of experimental design showing the number of replicates that were used for each experiment with the GPS coordinates from the sampling location or the location where the experiment was conducted. All samples were collected from the National Park Pan de Azúcar, Atacama Desert, Chile

Experiment Lichen Species n GPS coordinates (latS/longW) m above sea level
PAM Acarospora conafii 8 25; 59;04 70;36;56 769
PAM Placidium sp. 8 25; 59;04 70;36;56 769
PAM Everniopsis trulla 8 25;59;00 70;36;58 768
PAM Ramalina thrausta 8 25;59;00 70;36;58 768
Eco‐physiology: response to light A. conafii 5 25;59;00 70;36;58 757
25;59;03 70;36;57 761
26;00;47 70;35;58 874
25;59;00 70;36;58 681
25;59;02 70;36;18 762
Eco‐physiology: response to light Placidium sp. 5 26;00;31 70;36;23 763
25;58;59 70;36;54 715
26;01;39 70;34;04 693
25;59;00 70;36;58 721
25;59;00 70;36;58 842
Eco‐physiology: response to light E. trulla 5 25;59;00 70;36;58 753
25;59;02 70;36;18 836
26;00;23 70;36;19 693
26;00;47 70;35;58 833
25;59;02 70;36;55 763
Eco‐physiology: response to light R. thrausta 5 25;59;00 70;36;58 753
25;59;02 70;36;18 836
26;00;23 70;36;19 693
26;00;47 70;35;58 833
25;59;02 70;36;55 763
Eco‐physiology: response to water A. conafii 5 Same as above  
Eco‐physiology: response to water Placidium sp. 5 Same as above  
Eco‐physiology: response to water E. trulla 5 Same as above  
Eco‐physiology: response to water R. thrausta 5 Same as above  
Eco‐physiology: exposure to high air humidity A. conafii 5 Same as above  
Eco‐physiology: exposure to high air humidity Placidium sp. 5 Same as above  
Eco‐physiology: exposure to high air humidity E. trulla 5 Same as above  
Eco‐physiology: exposure to high air humidity R. thrausta 5 Same as above  

Table A2.

Lichen replicates used for DNA extraction, amplification and sequencing with their additional GenBank accession numbers. All samples were collected from the National Park Pan de Azúcar, Atacama Desert, Chile

Sample ID Origin/GPS coordinates (latS/longW) Marker GB Accession
Acarospora conafii pj01 25; 59;04 70;36;56 nuITS ERZ868389
Acarospora conafii pj02 25;59;00 70;36;58 nuITS ERZ868424
Acarospora conafii pj03 26;00;31 70;36;23 nuITS ERZ868445
Everniopsis trulla pj04 25; 59;04 70;36;56 nuITS ERZ827871
Everniopsis trulla pj05 25;59;00 70;36;58 nuITS ERZ827872
Everniopsis trulla pj06 26;00;23 70;36;19 nuITS ERZ827874
Acarospora conafii pj01 see above RPB1 ERZ868473
Acarospora conafii pj02 see above RPB1 ERZ868489
Acarospora conafii pj03 see above RPB1 ERZ868498
Everniopsis trulla pj04 see above RPB1 ERZ827875
Everniopsis trulla pj05 see above RPB1 ERZ868648
Everniopsis trulla pj06 see above RPB1 ERZ868658
Ramalina thrausta pj07 25;59;00 70;36;58 nuITS ERZ868517
Ramalina thrausta pj08 25;59;00 70;36;58 nuITS ERZ868529
Ramalina thrausta pj09 25;59;00 70;36;58 nuITS ERZ868539
Placidium sp. pj10 25;59;03 70;36;57 nuITS ERZ868597
Placidium sp. pj11 25;59;00 70;36;58 nuITS ERZ868604
Placidium sp. pj12 25; 59;04 70;36;56 nuITS ERZ868614
Ramalina thrausta pj07 see above RPB1 ERZ868566
Ramalina thrausta pj08 see above RPB1 ERZ868574
Ramalina thrausta pj09 see above RPB1 ERZ868583
Placidium sp. pj10 see above RPB1 ERZ868622
Placidium sp. pj11 see above RPB1 ERZ868631
Placidium sp. pj12 see above RPB1 ERZ868639
Tremella sp. pj25 from Ramalina thrausta pj07 nuITS ERZ893792
Tremella sp. pj26 from Ramalina thrausta pj08 nuITS ERZ893795
Tremella sp. pj27 from Ramalina thrausta pj09 nuITS ERZ893798
Neonectria sp. pj28 from Placidium sp. pj10 nuITS ERZ893959
Neonectria sp. pj29 from Placidium sp. pj11 nuITS ERZ893962
Neonectria sp. pj30 from Placidium sp. pj12 nuITS ERZ893965
Polysporina sp. pj31 from Acarospora conafii pj01 nuITS ERZ893812
Polysporina sp. pj32 from Acarospora conafii pj02 nuITS ERZ893814
Polysporina sp. pj33 from Acarospora conafii pj03 nuITS ERZ893816
Trebouxia sp. pj13 from Everniopsis trulla pj07 26S rDNA ERZ869956
Trebouxia sp. pj14 from Everniopsis trulla pj08 26S rDNA ERZ869957
Trebouxia sp. pj15 from Everniopsis trulla pj09 26S rDNA ERZ869958
Trebouxia sp. pj16 from Placidium sp. pj10 26S rDNA ERZ894043
Trebouxia sp. pj17 from Placidium sp. pj11 26S rDNA ERZ894044
Trebouxia sp. pj18 from Placidium sp. pj12 26S rDNA ERZ894046
Trebouxia sp. pj19 from Ramalina thrausta pj07 26S rDNA ERZ894006
Trebouxia sp. pj20 from Ramalina thrausta pj08 26S rDNA ERZ894009
Trebouxia sp. pj21 from Ramalina thrausta pj09 26S rDNA ERZ894029
Trebouxia sp. pj22 from Acarospora conafii pj01 26S rDNA ERZ893972
Trebouxia sp. pj23 from Acarospora conafii pj02 26S rDNA ERZ893976
Trebouxia sp. pj24 from Acarospora conafii pj03 26S rDNA ERZ893978
Trebouxia sp. pj13 from Everniopsis trulla pj07 18S rDNA ERZ893459
Trebouxia sp. pj14 from Everniopsis trulla pj08 18S rDNA ERZ893480
Trebouxia sp. pj15 from Everniopsis trulla pj09 18S rDNA ERZ893488
Trebouxia sp. pj16 from Placidium sp. pj10 18S rDNA ERZ894048
Trebouxia sp. pj17 from Placidium sp. pj11 18S rDNA ERZ894050
Trebouxia sp. pj18 from Placidium sp. pj12 18S rDNA ERZ894052
Trebouxia sp. pj19 from Ramalina thrausta pj07 18S rDNA ERZ894031
Trebouxia sp. pj20 from Ramalina thrausta pj08 18S rDNA ERZ894033
Trebouxia sp. pj21 from Ramalina thrausta pj09 18S rDNA ERZ894034
Trebouxia sp. pj22 from Acarospora conafii pj01 18S rDNA ERZ893982
Trebouxia sp. pj23 from Acarospora conafii pj02 18S rDNA ERZ893985
Trebouxia sp. pj24 from Acarospora conafii pj03 18S rDNA ERZ893988
Trebouxia sp. pj13 from Everniopsis trulla pj07 rbcL ERZ893581
Trebouxia sp. pj14 from Everniopsis trulla pj08 rbcL ERZ893605
Trebouxia sp. pj15 from Everniopsis trulla pj09 rbcL ERZ893622
Trebouxia sp. pj16 from Placidium sp. pj10 rbcL ERZ894056
Trebouxia sp. pj17 from Placidium sp. pj11 rbcL ERZ894058
Trebouxia sp. pj18 from Placidium sp. pj12 rbcL ERZ894060
Trebouxia sp. pj19 from Ramalina thrausta pj07 rbcL ERZ894036
Trebouxia sp. pj20 from Ramalina thrausta pj08 rbcL ERZ894039
Trebouxia sp. pj21 from Ramalina thrausta pj09 rbcL ERZ894042
Trebouxia sp. pj22 from Acarospora conafii pj01 rbcL ERZ893993
Trebouxia sp. pj23 from Acarospora conafii pj02 rbcL ERZ893998
Trebouxia sp. pj24 from Acarospora conafii pj03 rbcl ERZ894003

Table A3.

Publicly available sequences used for the alignments of the mycobiont

Species Accession numbers
nuITS RPB1
Placidium
Placidium aboreum CG 579/AFTOL 2285 KY769559.1 EF689767.1
Placidium aboreum 479327 GU228968.1 GU229006.1
Placidium aff. lachneoides Prieto 564 GU228972.1 GU229005.1
Placidium imbecillium LI 364261 GU228979.1 GU229012.1
Placidium lacinulatum var. atrans 1703 GU228957.1 GU229019.1
Placidium lacinulatum var. lacinulatum Prieto 552 GU228960.1 GU229003.1
Placidum pillosellum 3 GU229013.1 GU229013.1
Placidium pillosellum Prieto 439 GU228968.1 GU229008.1
Placidium pseudorufescens LI 566404 GU228966.1 x
Placidium semaforense Prieto 63 GU228961.1 GU229002.1
Placidium squamulosum Prieto 336 GU228994.1 GU229009.1
Placidium squamulosum var. argentinium Prieto 1705 GU228991.1 GU229014.1
Placidium velebiticum LI 297363 GU228975.1 GU229007.1
Placidium velebiticum LI 551990 GU228978.1 x
Placidium velebiticum Prieto 664/607 GU228996.1 GU229022.1
Acarospora
Acarospora anomala Westberg 10‐106 LN810758.1 x
Acarospora anomala Westberg 10‐108 LN810759.1 x
Acarospora atrata Arup L02737 LN810760.1 x
Acarospora badiofusca L‐124833 LN810762.1 x
Acarospora badiofusca Nordin Owe‐Larsson 36 LN810763.1 x
Acarospora cervina F177758 LN810764.1 x
Acarospora cf. nitrophila Westberg 12‐011 LN810786.1 x
Acarospora cf. nitrophila Westberg 3110 LN810787.1 x
Acarospora fuscata Westberg SAR120 LN810766.1 x
Acarospora fuscata Westberg SAR129 LN810767.1 x
Acarospora glaucocarpa Westberg SAR08 LN810768.1 x
Acarospora glaucocarpa Westberg WE23 LN810769.1 x
Acarospora hospitans Westberg 08‐234 LN810775.1 x
Acarospora impressula F121708 LN810776.1 x
Acarospora insignis F265207 LN890274.1 x
Acarospora insignis/L173397 LN890273.1 x
Acarospora insolata Westberg 06‐022 LN810777.1 x
Acarospora laqueata F177761/AFTOL 1007 LN810778.1 DQ782860.1
Acarospora molybdina 4522 AY853352.2 x
Acarospora molybdina Westberg SAR121 LN810738.1 x
Acarospora nicolai Morse 16136 LN810785.1 x
Acarospora nodulosa F177732 LN810789.1 x
Acarospora obpallens F256015 LN810790.1 x
Acarospora oligospora F121705 LN810791.1 x
Acarospora oligospora Westberg 09‐659 LN810792.1 x
Acarospora peliscypha Westberg 08‐153 LN810794.1 x
Acarospora peliscypha F139588 LN810793.1 x
Acarospora rosulata F256011 LN810796.1 x
Acarospora rosulata Westberg 08‐193 LN810797.1 x
Acarospora rugulosa F123671 LN810798.1 x
Acarospora rugulosa F569 DQ374147.1 x
Acarospora schleicheri F5091 AY853353.2 DQ782859.1
Acarospora schleicheri L‐162697 LN810801.1 DQ915591.1
Acarospora sinopica SAR406 DQ374148.1 x
Acarospora socialis F256016 LN810802.1 x
Acarospora strigata F256017 LN810805.1 x
Acarospora umbilicata L‐136981 LN810808.1 x
Acarospora wahlebergerii Westberg P115 LN810810.1 x
Acarospora wahlebergerii Westberg SAR91 LN810809.1 x
Everniopsis
Everniopsis trulla EF105411.1 EF105429.1
Everniopsis trulla Las Lomitas HBG LD AY251419.1 x
Everniopsis trulla BRY‐C KY859517.1 x
Ramalina
Ramalina ovails 4663 KF583549.1 x
Ramalina americana 9 AF109235.1 x
Ramalina celastri LGR84 GU827295 x
Ramalina complanata AFTOL 86 x DQ973059.1
Ramalina complanata AFTOL 966 x DQ883782.1
Ramalina farinacea AFTOL 1965 x KJ766831.1
Ramalina fastigata U84583.1 U84583.1 AY756422.1
Ramalina fastigata U84583.2 U84583.2 KJ766832.1
Ramalina fraxinea R8 KC960763.1 x
Ramalina laevigata 5046 KY171864.1 x
Ramalina ovalis 4659 KF583548.1 x
Ramalina ovalis 4672 KF583554.1 x
Ramalina ovalis 5607 KF583558.1 x
Ramalina sinensis 06‐26194 JF923611.1 x
Ramalina sprengelii 9654 KY171867.1 x
Ramalina sprengelii 536a KY171868.1 x
Ramalina terebrata DQ534481.2 DQ534481.2 x
Ramalina terebrata KOPRI EU161239.1 x
Root
Xanthoria parietina KT695329.1 JQ301734.1

Table A4.

Publicly available sequences used for the alignments of the photobionts

Species Accession numbers
26S rDNA (LR3) 18 S rDNA (Al1500af) rbcL
Trebouxia impressa Z95383.1 Z95383.1 x AB194849.1
Trebouxia gelantinosa Z95382.1 Z95382.1 x AJ969640.1
Trebouxia anticipata AF189069.1 AF189069.1 x AB194852.1
Trebouxia asymmetrica 95380.1 Z95380.1 Z21553.1 AB194860.1
Trebouxia jamesii Z95284.1 Z95284.1 x AJ969663.1
Trebouxia usnea z95385.1 Z95385.1 x x
Trebouxia decolorans P‐164‐Ixa‐1 AJ969563.1 AJ969562.1 AJ969660.1
Trebouxia decolorans P‐319‐lg AJ970889.1 FJ705185.1 AJ969668.1
Trebouxia arboricola z95381.1 Z95381.1 JQ993785.1 AJ969669.1
Trebouxia arboricola AF4501 Z95381.1 JQ993784.1 AJ969670.1
Trebouxia arboricola Fz3904 Z95381.1 JQ993786.1 AJ969666.1
Trebouxia crenulata IB359 x x AJ969639.1
Trebouxia gigantea UTEX 2231 x x AB194855.1
Root
Cholrella sorokiniana SM11 4 KM514858.1 KM291883.1 HM101339.1

Table A5.

Publicly available sequences used for the alignments of the lichenicolous fungi

Species Acession number nuITS
Tremella ramalinae AM15 JN053513.1
Tremella ramalinae AM126 JN043619.1
Tremella pertusaria AM2 JN043600.1
Tremella diploschistina PD001 JN790589.1
Tremella diploschsitina isolate AM200 JN790590.1
Neonectria sp. WF102 HQ130662.1
Neonectria sp. O 2 BESC 883e KC007320.1
Neonectria sp. C 1 BESC 294p KC007272.1
Neonectria sp. BESC 103e KC007134.1
Polysporina subfuscecens 9490 LN810847.1
Polysporina subfuscecens 09‐566 LN810838.1
Polysporina simplex 122602 LN810819.1
Polysporina simplex SAR 273 LN810826.1
Polysporina simplex F122563 LN810823.1
Polysporina subfuscescens 09‐638 LN810837.1
Polysporina subfuscescens 12‐011 LN810842.1
Polysporina simplex P118 LN810825.1
Polysporina subfuscescens F123694 LN810833.1
Polysporina subfuscescens 152847 LN810845.1
Polysporina subfuscescens F122560 LN810830.1
Polysporina subfuscescens 138167 LN810831.1
Polysporina simplex 1267752 LN810827.1
Polysporina simplex F123693 LN810818.1
Polysporina simplex F152846 LN810832.1
Polysporina simplex SAR199 LN810821.1
Polysporina subfuscescens 1264167 LN810848.1
Root
Xanthoria parietina KT695329.1

Table A6.

In situ pulse amplitude modulation (PAM) measurements. Given are the actual mean Yield values of photosystem II of four lichens and the standard deviations obtained during a fog event

  Acarospora conafii Placidium sp. Everniopsis trulla Ramalina thrausta
Local Time Yield II (mean) ± standard deviation
11:51 0.0729 ± 0.0268 0.0529 ± 0.0168 0.1057 ± 0.0431 0.0978 ± 0.0642
11:55 0.2001 ± 0.0553 0.1801 ± 0.0353 0.4503 ± 0.0573 0.3812 ± 0.0771
11:58 0.3621 ± 0.0773 0.2121 ± 0.0673 0.4809 ± 0.0554 0.3996 ± 0.0632
12:01 0.3679 ± 0.0769 0.2181 ± 0.0673 0.4776 ± 0.0589 0.4241 ± 0.0690
12:06 0.3659 ± 0.0989 0.2111 ± 0.0673 0.4741 ± 0.0612 0.4259 ± 0.0671
Wet 0.5450 ± 0.0698 0.6441 ± 0.0592 0.6097 ± 0.0599 0.5290 ± 0.0612

Jung P, Emrich D, Briegel‐Williams L, et al. Ecophysiology and phylogeny of new terricolous and epiphytic chlorolichens in a fog oasis of the Atacama Desert. MicrobiologyOpen. 2019;8:e894 10.1002/mbo3.894

DATA AVAILABILITY STATEMENT

Generated sequences can be found under the project number PRJEB31788 at NCBI GenBank and all alignments are deposited at dryad https://doi.org/10.5061/dryad.jc06126.

REFERENCES

  1. Baumann, K. , Jung, P. , Samolov, E. , Lehnert, L. W. , Büdel, B. , Karsten, U. , … Leinweber, P. (2018). Biological soil crusts along a climatic gradient in Chile: Richness and imprints of phototrophic microorganisms in phosphorus biogeochemical cycling. Soil Biology and Biochemistry, 127, 286–300. 10.1016/j.soilbio.2018.09.035 [DOI] [Google Scholar]
  2. Bernhard, N. , Moskwa, L.‐M. , Schmidt, K. , Oeser, R. A. , Aburto, F. , Bader, M. Y. , … Kühn, P. (2018). Pedogenic and microbial interrelations to regional climate and local topography: New insights from a climate gradient (arid to humid) along the Coastal Cordillera of Chile. Catena, 170, 335–355. 10.1016/j.catena.2018.06.018 [DOI] [Google Scholar]
  3. Borthagaray, A. I. , Fuentes, M. A. , & Marquet, P. A. (2010). Vegetation pattern formation in a fog‐dependent ecosystem. Journal of Theoretical Biology, 265(1), 18–26. 10.1016/j.jtbi.2010.04.020 [DOI] [PubMed] [Google Scholar]
  4. Bowler, P. A. (1977). Ramalina thrausta in North America. Bryologist, 529–532. 10.2307/3242029 [DOI] [Google Scholar]
  5. Büdel, B. , Vivas, M. , & Lange, O. L. (2013). Lichen species dominance and the resulting photosynthetic behavior of Sonoran Desert soil crust types (Baja California, Mexico). Ecological Processes, 2(1), 6 10.1186/2192-1709-2-6 [DOI] [Google Scholar]
  6. Colesie, C. , Green, T. A. , Haferkamp, I. , & Büdel, B. (2014). Habitat stress initiates changes in composition, CO2 gas exchange and C‐allocation as life traits in biological soil crusts. The ISME Journal, 8(10), 2104 10.1038/ismej.2014.47 [DOI] [PMC free article] [PubMed] [Google Scholar]
  7. Colesie, C. , Green, T. A. , Raggio, J. , & Büdel, B. (2016). Summer activity patterns of Antarctic and High Alpine lichen dominated biological soil crusts—similar but different? Arctic, Antarctic, and Alpine Research, 48(3), 449–460. 10.1657/AAAR0015-047 [DOI] [Google Scholar]
  8. Colesie, C. , Williams, L. , & Büdel, B. (2017). Water relations in the soil crust lichen Psora decipiens are optimized via anatomical variability. The Lichenologist, 49(5), 483–492. 10.1017/s0024282917000354 [DOI] [Google Scholar]
  9. Cooper, E. J. , Smith, F. M. , & Wookey, P. A. (2001). Increased rainfall ameliorates the negative effect of trampling on the growth of High Arctic forage lichens. Symbiosis, 31, 153–171. [Google Scholar]
  10. De los Rios, A. , Ascaso, C. , & Grube, M. (2002). Infection mechanisms of lichenicolous fungi studied by various microscopic techniques. Bibliotheca Lichenologica, 82, 153–164. [Google Scholar]
  11. del Prado, R. , & Sancho, L. G. (2007). Dew as a key factor for the distribution pattern of the lichen species Teloschistes lacunosus in the Tabernas Desert (Spain). Flora‐Morphology, Distribution, Functional Ecology of Plants, 202(5), 417–428. 10.1016/j.flora.2006.07.007 [DOI] [Google Scholar]
  12. Diederich, P. , Lawrey, J. D. , & Ertz, D. (2018). The 2018 classification and checklist of lichenicolous fungi, with 2000 non‐lichenized, obligately lichenicolous taxa. The Bryologist, 121(3), 340–426. 10.1639/0007-2745-121.3.340 [DOI] [Google Scholar]
  13. Dietz, S. , Büdel, B. , Lange, O. L. , & Bilger, W. (2000). Transmittance of light through the cortex of lichens from contrasting habitats. Bibliotheca Lichenologica, 75, 171–182. [Google Scholar]
  14. Gaya, E. , Fernández‐Brime, S. , Vargas, R. , Lachlan, R. F. , Gueidan, C. , Ramírez‐Mejía, M. , & Lutzoni, F. (2015). The adaptive radiation of lichen‐forming Teloschistaceae is associated with sunscreening pigments and a bark‐to‐rock substrate shift. Proceedings of the National Academy of Sciences of the United States of America, 112, 11600–11605. 10.1073/pnas.1507072112 [DOI] [PMC free article] [PubMed] [Google Scholar]
  15. Green, T. G. A. , & Lange, O. L. (1995). Photosynthesis in poikilohydric plants: A comparison of lichens and bryophytes In: Schulze E. D., Caldwell M. M. (eds) Ecophysiology of photosynthesis (pp. 319–341). Berlin, Heidelberg: Springer. [Google Scholar]
  16. Green, T. A. , Pintado, A. , Raggio, J. , & Sancho, L. G. (2018). The lifestyle of lichens in soil crusts. The Lichenologist, 50(3), 397–410. 10.1017/S0024282918000130 [DOI] [Google Scholar]
  17. Hartley, A. J. , Chong, G. , Houston, J. , & Mather, A. E. (2005). 150 million years of climatic stability: Evidence from the Atacama Desert, northern Chile. Journal of the Geological Society, 162(3), 421–424. 10.1144/0016-764904-071 [DOI] [Google Scholar]
  18. Kimura, D. K. (1980). Likelihood methods for the von Bertalanffy growth curve. Fishery Bulletin, 77(4), 765–776. [Google Scholar]
  19. Knudsen, K. , & Kocourkova, J. (2008). A study of lichenicolous species of Polysporina (Acarosporaceae). Mycotaxon, 105, 149. [Google Scholar]
  20. Krog, H. , & Osthagen, H. (1980). The genus Ramalina in the Canary Islands. Norwegian Journal of Botany, 27, 266–267. [Google Scholar]
  21. Kumar, S. , Stecher, G. , Li, M. , Knyaz, C. , & Tamura, K. (2018). MEGA X: Molecular evolutionary genetics analysis across computing platforms. Molecular Biology and Evolution, 35(6), 1547–1549. 10.1093/molbev/msy096 [DOI] [PMC free article] [PubMed] [Google Scholar]
  22. Lakatos, M. , Rascher, U. , & Büdel, B. (2006). Functional characteristics of corticolous lichens in the understory of a tropical lowland rain forest. New Phytologist, 172, 679–695. 10.1111/j.1469-8137.2006.01871.x [DOI] [PubMed] [Google Scholar]
  23. Lange, O. L. , Belnap, J. , Reichenberger, H. , & Meyer, A. (1997). Photosynthesis of green algal soil crust lichens from arid lands in southern Utah, USA: Role of water content on light and temperature responses of CO2 exchange. Flora, 192(1), 1–15. 10.1016/S0367-2530(17)30749-1 [DOI] [Google Scholar]
  24. Lange, O. L. , Kilian, E. , & Ziegler, H. (1986). Water vapor uptake and photosynthesis of lichens: Performance differences in species with green and blue‐green algae as phycobionts. Oecologia, 71(1), 104–110. 10.1007/BF00377327 [DOI] [PubMed] [Google Scholar]
  25. Lange, O. L. , Meyer, A. , Ullmann, I. , & Zellner, H. (1991). Mikroklima, Wassergehalt und Photosynthese von Flechten in der küstennahen Nebelzone der Namib‐Wüste: Messungen während der herbstlichen Witterungsperiode. Flora, 185(4), 233–266. 10.1016/S0367-2530(17)30481-4 [DOI] [Google Scholar]
  26. Lange, O. L. , & Redon, J. (1983). Epiphytische Flechten im Bereich einer chilenischen “Nebeloase” (Fray Jorge) II. Ökophysiologische Charakterisierung von CO2‐Gaswechsel und Wasserhaushalt1. Flora, 174(3–4), 245–284. [Google Scholar]
  27. Larson, D. (1981). Differential wetting in some lichens and mosses: The role of morphology. The Bryologist, 84, 1–15. [Google Scholar]
  28. Lawrey, J. D. , & Diederich, P. (2003). Lichenicolous fungi: Interactions, evolution, and biodiversity. The Bryologist, 80–120. 10.1639/0007-2745(2003)106[0080:LFIEAB]2.0.CO; [DOI] [Google Scholar]
  29. Lehnert, L. , Jung, P. , Obermeier, W. , Büdel, B. , & Bendix, J. (2018). Estimating net photosynthesis of biological soil crusts in the atacama using hyperspectral remote sensing. Remote Sensing, 10(6), 891 10.3390/rs10060891 [DOI] [Google Scholar]
  30. Lehnert, L. W. , Thies, B. , Trachte, K. , Achilles, S. , Osses, P. , Baumann, K. , … Büdel, B. (2018). A case study on fog/low stratus occurrence at Las Lomitas, Atacama Desert (Chile) as a water source for biological soil crusts. Aerosol and Air Quality Research, 18, 254–269. 10.4209/aaqr.2017.01.0021 [DOI] [Google Scholar]
  31. Leisner, J. M. , Bilger, W. , & Lange, O. L. (1996). Chlorophyll fluorescence characteristics of the cyanobacterial lichen Peltigera rufescens under field conditions: I. Seasonal patterns of photochemical activity and the occurrence of photosystem II inhibition. Flora, 191(3), 261–273. 10.1016/S0367-2530(17)30722-3 [DOI] [Google Scholar]
  32. Matheny, P. B. , Liu, Y. J. , Ammirati, J. F. , & Hall, B. D. (2002). Using RPB1 sequences to improve phylogenetic inference among mushrooms (Inocybe, Agaricales). American Journal of Botany, 89(4), 688–698. 10.3732/ajb.89.4.688 [DOI] [PubMed] [Google Scholar]
  33. Matthes‐Sears, U. , Nash, T. H. III , & Larson, D. W. (1987). The ecology of Ramalina menziesii. VI. Laboratory responses of net CO2 exchange to moisture, temperature, and light. Canadian Journal of Botany, 65(1), 182–191. [Google Scholar]
  34. Millanes, A. M. , Westberg, M. , Wedin, M. , & Diederich, P. (2012). Tremella diploschistina (Tremellales, Basidiomycota, Fungi), a new lichenicolous species growing on Diploschistes. The Lichenologist, 44(3), 321–332. 10.1017/s0024282911000788 [DOI] [Google Scholar]
  35. Moya, P. , Chiva, S. , Molins, A. , Jadrna, I. , Skaloud, P. , Peksa, O. , & Barreno, E. (2018). Myrmecia israeliensis as the primary symbiotic microalga in squamulose lichens growing in European and Canary Island terricolous communities. Fottea, 18(1), 72–85. 10.5507/fot.2017.022 [DOI] [Google Scholar]
  36. Muenchow, J. , Hauenstein, S. , Bräuning, A. , Bäumler, R. , Rodriguez, E. F. , & von Wehrden, H. (2013). Soil texture and altitude, respectively, largely determine the floristic gradient of the most diverse fog oasis in the Peruvian desert. Journal of Tropical Ecology, 29(5), 427–438. 10.1017/S0266467413000436 [DOI] [Google Scholar]
  37. Prieto, M. , Martínez, I. , Aragón, G. , Gueidan, C. , & Lutzoni, F. (2012). Molecular phylogeny of Heteroplacidium, Placidium, and related catapyrenioid genera (Verrucariaceae, lichen‐forming Ascomycota). American Journal of Botany, 99(1), 23–35. [DOI] [PubMed] [Google Scholar]
  38. Raedeke, K. J. , & Simonetti, J. A. (1988). Food habits of Lama guanicoe in the Atacama desert of northern Chile. Journal of Mammalogy, 69(1), 198–201. 10.2307/1381777 [DOI] [Google Scholar]
  39. Raggio, J. , Green, T. A. , Sancho, L. G. , Pintado, A. , Colesie, C. , Weber, B. , & Büdel, B. (2017). Metabolic activity duration can be effectively predicted from macroclimatic data for biological soil crust habitats across Europe. Geoderma, 306, 10–17. 10.1016/j.geoderma.2017.07.001 [DOI] [Google Scholar]
  40. Ronen, R. , & Galun, M. (1984). Pigment extraction from lichens with dimethyl sulfoxide (DMSO) and estimation of chlorophyll degradation. Environmental and Experimental Botany, 24(3), 239–245. 10.1016/0098-8472(84)90004-2 [DOI] [Google Scholar]
  41. Ronquist, F. , & Huelsenbeck, J. P. (2003). MrBayes 3: Bayesian phylogenetic inference under mixed models. Bioinformatics, 19, 1572–1574. 10.1093/bioinformatics/btg180 [DOI] [PubMed] [Google Scholar]
  42. Rundel, P. W. (1978). Evolutionary relationships in the Ramalina usnea complex. The Lichenologist, 10(2), 141–156. 10.1017/s0024282978000262 [DOI] [Google Scholar]
  43. Rundel, P. W. , & Bowler, P. A. (1974). The lichen genus Trichoramalina . Bryologist, 188–194. 10.2307/3241555 [DOI] [Google Scholar]
  44. Rundel, P. W. , Dillon, M. O. , & Palma, B. (1996). Flora and vegetation of Pan de Azucar National Park in the Atacama Desert of northern Chile. Gayana Bot, 53(2), 295–315. [Google Scholar]
  45. Santiago, I. F. , Gonçalves, V. N. , Gómez‐Silva, B. , Galetovic, A. , & Rosa, L. H. (2018). Fungal diversity in the Atacama Desert. Antonie Van Leeuwenhoek, 1–16. 10.1007/s10482-018-1060-6 [DOI] [PubMed] [Google Scholar]
  46. Schmitt, I. , Crespo, A. , Divakar, P. K. , Fankhauser, J. D. , Herman‐Sackett, E. , Kalb, K. , … Lumbsch, H. T. (2009). New primers for promising single‐copy genes in fungal phylogenetics and systematics. Persoonia, 23, 35 10.3767/003158509X470602 [DOI] [PMC free article] [PubMed] [Google Scholar]
  47. Schoch, C. L. , Seifert, K. A. , Huhndorf, S. , Robert, V. , Spouge, J. L. , Levesque, C. A. , … Schindel, D. (2012). Nuclear ribosomal internal transcribed spacer (ITS) region as a universal DNA barcode marker for Fungi. Proceedings of the National Academy of Sciences of the United States of America, 109(16), 6241–6246. 10.1073/pnas.1117018109 [DOI] [PMC free article] [PubMed] [Google Scholar]
  48. Shivji, M. S. , Rogers, S. O. , & Stanhope, M. J. (1992). Rapid isolation of high molecular weight DNA from microalgae. Marine Ecology Progress Series, 84, 197–220. [Google Scholar]
  49. Spribille, T. , Tuovinen, V. , Resl, P. , Vanderpool, D. , Wolinski, H. , Aime, M. C. , … McCutcheon, J. P. (2016). Basidiomycete yeasts in the cortex of ascomycete macrolichens. Science, 353, 488–492. 10.1126/science.aaf8287 [DOI] [PMC free article] [PubMed] [Google Scholar]
  50. Stanton, D. E. (2015). Small scale fog‐gradients change epiphytic lichen shape and distribution. The Bryologist, 118(3), 241–244. 10.1639/0007-2745-118.3.241 [DOI] [Google Scholar]
  51. Stanton, D. E. , & Horn, H. S. (2013). Epiphytes as “filter‐drinkers”: Life‐form changes across a fog gradient. The Bryologist, 116(1), 34–42. 10.1639/0007-2745-116.1.034 [DOI] [Google Scholar]
  52. Stanton, D. E. , Huallpa Chávez, J. , Villegas, L. , Villasante, F. , Armesto, J. , Hedin, L. O. , & Horn, H. (2014). Epiphytes improve host plant water use by microenvironment modification. Functional Ecology, 28(5), 1274–1283. 10.1111/1365-2435.12249 [DOI] [Google Scholar]
  53. Thompson, M. V. , Palma, B. , Knowles, J. T. , & Holbrook, N. M. (2003). Multi‐annual climate in Parque Nacional Pan de Azúcar, Atacama Desert, Chile. Revista Chilena De Historia Natural, 76, 235–254. 10.4067/S0716-078X2003000200009 [DOI] [Google Scholar]
  54. Tuovinen, V. , Ekman, S. , Thor, G. , Vanderpool, D. , Spribille, T. , & Johannesson, H. (2019). Two basidiomycete fungi in the cortex of wolf lichens. Current Biology, 29, 476–483. 10.1016/j.cub.2018.12.022 [DOI] [PubMed] [Google Scholar]
  55. Veste, M. , Littmann, T. , Friedrich, H. , & Breckle, S. W. (2001). Microclimatic boundary conditions for activity of soil lichen crusts in sand dunes of the north‐western Negev desert, Israel. Flora, 196(6), 465–474. 10.1016/S0367-2530(17)30088-9 [DOI] [Google Scholar]
  56. Villegas, J. C. , Tobón, C. , & Breshears, D. D. (2008). Fog interception by non‐vascular epiphytes in tropical montane cloud forests: Dependencies on gauge type and meteorological conditions. Hydrological Processes, 22, 2484–2492. [Google Scholar]
  57. Vondrak, J. , & Kubásek, J. (2013). Algal stacks and fungal stacks as adaptations to high light in lichens. The Lichenologist, 45(1), 115–124. 10.1017/S0024282912000722 [DOI] [Google Scholar]
  58. Westberg, M. , Millanes, A. M. , Knudsen, K. , & Wedin, M. (2015). Phylogeny of the Acarosporaceae (Lecanoromycetes, Ascomycota, Fungi) and the evolution of carbonized ascomata. Fungal Diversity, 73(1), 145–158. 10.1007/s13225-015-0325-x [DOI] [Google Scholar]
  59. Williams, L. , Colesie, C. , Ullmann, A. , Westberg, M. , Wedin, M. , & Büdel, B. (2017). Lichen acclimation to changing environments: Photobiont switching vs. climate‐specific uniqueness in Psora decipiens. Ecology and Evolution, 7(8), 2560–2574. 10.1002/ece3.2809 [DOI] [PMC free article] [PubMed] [Google Scholar]
  60. Zhao, X. , Fernández‐Brime, S. , Wedin, M. , Locke, M. , Leavitt, S. D. , & Lumbsch, H. T. (2017). Using multi‐locus sequence data for addressing species boundaries in commonly accepted lichen‐forming fungal species. Organism Diversity and Evolution, 17, 351–363. 10.1007/s13127-016-0320-4 [DOI] [Google Scholar]

Associated Data

This section collects any data citations, data availability statements, or supplementary materials included in this article.

Data Availability Statement

Generated sequences can be found under the project number PRJEB31788 at NCBI GenBank and all alignments are deposited at dryad https://doi.org/10.5061/dryad.jc06126.


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