Do photobionts influence the ecology of lichens? A case study of environmental preferences in symbiotic green alga <i>Asterochloris</i> (Trebouxiophyceae)

Peksa, Ondřej; Škaloud, Pavel

doi:10.1111/j.1365-294x.2011.05168.x

Cited by 169 publications

(246 citation statements)

References 63 publications

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“…It belongs to division Chlorophyta, class Trebouxiophyceae, order Trebouxiales. Recently, it is re-classified as Asterochloris (Peksa et Škaloud 2011). Although there are various types of photobionts in the lichens, algae of genus Trebouxia sp.…”

Section: Introductionmentioning

confidence: 99%

Temperature-dependent growth rate and photosynthetic performance of Antarctic symbiotic alga Trebouxia sp. cultivated in a bioreactor

Balarinová¹,

Váczi²,

Barták

et al. 2013

Czech Polar Rep.

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Optimum growth temperature of Trebouxia sp. (re-classified as Asterochloris sp. recently), a symbiotic lichenized alga was evaluated using a batch culture cultivated in a bioreactor. The algae were isolated from lichen thalli of Usnea antarctica collected at the James Ross Island, Antarctica in February 2012. The algae were isolated under laboratory conditions and then cultivated on agar medium at 5°C. When sufficiently developed, the algae were suspended in a BBM liquid medium and cultivated in a photobioreactor for 33 days at either 15, or 10°C. During cultivation, optical density (OD) characterizing culture growth, and effective quantum yield of photosystem II ( PSII ) characterizing photosynthetic performance were measured simultaneously. Thanks to higher  PSII values, faster growth was achieved at 10 o C than 15 o C indicating that Trebouxia sp. might be ranked among psychrotolerant species. Such conclusion is supported also by a higher specific growth rate found during exponential phase of culture growth. The results are discussed and compared to available data on temperaturedependent growth of polar microalgae.Key words: Usnea antarctica, chlorophyll fluorescence, lichen, effective quantum yield, James Ross Island, psychrotolerance, Asterochloris Abbreviations:  PSII -effective quantum yield of photosystem II,  -specific growth rate, OD -optical density, PBRr -photobioreactors

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Section: Introductionmentioning

confidence: 99%

Temperature-dependent growth rate and photosynthetic performance of Antarctic symbiotic alga Trebouxia sp. cultivated in a bioreactor

Balarinová¹,

Váczi²,

Barták

et al. 2013

Czech Polar Rep.

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“…Lichens, which are named for their ϳ20,000 different fungal (mycobiont) species, harbor trebouxiophyte microalgae (photobionts) in just two genera: Trebouxia (56) and Asterochloris (57). Our survey includes Trebouxia jamesii from the Candelaria concolor lichen (58) and Asterochloris sp.…”

Section: Resultsmentioning

confidence: 99%

Eisosome Ultrastructure and Evolution in Fungi, Microalgae, and Lichens

et al. 2015

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Eisosomes are among the few remaining eukaryotic cellular differentations that lack a defined function(s). These trough-shaped invaginations of the plasma membrane have largely been studied in Saccharomyces cerevisiae, in which their associated proteins, including two BAR domain proteins, have been identified, and homologues have been found throughout the fungal radiation. Using quick-freeze deep-etch electron microscopy to generate high-resolution replicas of membrane fracture faces without the use of chemical fixation, we report that eisosomes are also present in a subset of red and green microalgae as well as in the cysts of the ciliate Euplotes. Eisosome assembly is closely correlated with both the presence and the nature of cell walls. Microalgal eisosomes vary extensively in topology and internal organization. Unlike fungi, their convex fracture faces can carry lineagespecific arrays of intramembranous particles, and their concave fracture faces usually display fine striations, also seen in fungi, that are pitched at lineage-specific angles and, in some cases, adopt a broad-banded patterning. The conserved genes that encode fungal eisosome-associated proteins are not found in sequenced algal genomes, but we identified genes encoding two algal lineage-specific families of predicted BAR domain proteins, called Green-BAR and Red-BAR, that are candidate eisosome organizers. We propose a model for eisosome formation wherein (i) positively charged recognition patches first establish contact with target membrane regions and (ii) a (partial) unwinding of the coiled-coil conformation of the BAR domains then allows interactions between the hydrophobic faces of their amphipathic helices and the lipid phase of the inner membrane leaflet, generating the striated patterns.

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“…But to date, the similarities of the areas in terms of macroclimate conditions were not investigated, mainly due to the lack of area covering climate data for Antarctica. Several studies show clear differentiation in species composition on lichen photobionts, which are evidently climate related (Fernandez-Mendoza et al 2011;Jones et al 2013;Peksa and Skaloud 2011;Ruprecht et al 2012a) and match well with the macroclimate conditions. However, for large-scale niche modeling projects which require two types of data, accurate latitude/longitude coordinates (i.e., georeferenced localities) and environmental data available in form of GIS layers, no sufficient continent covering climate data was available.…”

Section: Introductionmentioning

confidence: 99%

“…There have been several studies dealing with this climate-dependent specificity between mycobiont and photobiont (e.g., Fernandez-Mendoza et al 2011;Jones et al 2013;Peksa and Skaloud 2011;Ruprecht et al 2012a). In our study, we aim to define the base for the modeling and comparison of the Antarctic climatic conditions, in order to show preferences of each symbiotic partner (photobiont vs. mycobiont) identified within given lichen samples.…”

Section: Introductionmentioning

confidence: 99%

A first approach to calculate BIOCLIM variables and climate zones for Antarctica

Wagner

Trutschnig

Bathke

et al. 2017

Theor Appl Climatol

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For testing the hypothesis that macroclimatological factors determine the occurrence, biodiversity, and species specificity of both symbiotic partners of Antarctic lecideoid lichens, we present a first approach for the computation of the full set of 19 BIOCLIM variables, as available at http://www.worldclim. org/ for all regions of the world with exception of Antarctica. Annual mean temperature (Bio 1) and annual precipitation (Bio 12) were chosen to define climate zones of the Antarctic continent and adjacent islands as required for ecological niche modeling (ENM). The zones are based on data for the years 2009-2015 which was obtained from the Antarctic Mesoscale Prediction System (AMPS) database of the Ohio State University. For both temperature and precipitation, two separate zonings were specified; temperature values were divided into 12 zones (named 1 to 12) and precipitation values into five (named A to E). By combining these two partitions, we defined climate zonings where each geographical point can be uniquely assigned to exactly one zone, which allows an immediate explicit interpretation. The soundness of the newly calculated climate zones was tested by comparison with already published data, which used only three zones defined on climate information from the literature. The newly defined climate zones result in a more precise assignment of species distribution to the single habitats. This study provides the basis for a more detailed continental-wide ENM using a comprehensive dataset of lichen specimens which are located within 21 different climate regions.

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Do photobionts influence the ecology of lichens? A case study of environmental preferences in symbiotic green alga Asterochloris (Trebouxiophyceae)

Cited by 169 publications

References 63 publications

Temperature-dependent growth rate and photosynthetic performance of Antarctic symbiotic alga Trebouxia sp. cultivated in a bioreactor

Temperature-dependent growth rate and photosynthetic performance of Antarctic symbiotic alga Trebouxia sp. cultivated in a bioreactor

Eisosome Ultrastructure and Evolution in Fungi, Microalgae, and Lichens

A first approach to calculate BIOCLIM variables and climate zones for Antarctica

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