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Lichens

Lichens are a symbiotic association between a fungus (the mycobiont) and a photosynthetic partner (the photobiont), typically either a green alga or a cyanobacterium.
They are found in a wide variety of habitats and play important roles in ecosystems.
Lichens have diverse morphologies, colors, and growth forms, and are used in various fields such as bioindication, air quality monitoring, and traditional medicine.
Resesrching lichens can provide insights into their complex biology, ecology, and potential applications.
PubComparae.ai can help optimixe your lichen research protocols for reproducibility and accuracy by locating the best protocols from literature, pre-prints, and patents, with side-by-side comparisons to ensure you find the most reliable and effective methods.

Most cited protocols related to «Lichens»

This study was conducted in two sites located in central (Aranjuez, 40°02′ N – 3° 32′W; 590 m a.s.l.), and south-eastern (Sorbas, 37° 05′N – 2° 04′W; 397 m a.s.l.) Spain (Fig. S1). Their climate is semiarid Mediterranean, with dry and hot summers and mean annual temperature values of 15°C (Aranjuez) and 17°C (Sorbas). Mean annual rainfall values are 349 mm (Aranjuez) and 274 mm (Sorbas), and precipitation events mostly occur in autumn/winter and spring. Soils are derived from gypsum, have pH values ~7 (Table S1), and are classified as Gypsiric Leptosols (IUSS Working Group WRB, 2006 ). Perennial plant cover is below 40%, and is dominated by grasses such as Stipa tenacissima and small shrubs such as Helianthemum squamatum and Gypsophila struthium. At both sites, the areas located between perennial plants are colonized by a well-developed biocrust community dominated by lichens such as Diploschistes diacapsis, Squamarina lentigera and Psora decipiens (see Table S2 for a species checklist).
At each site, we established a fully factorial experimental design with three factors, each with two levels: biocrust cover (poorly developed biocrust communities with cover < 20% vs. well-developed biocrust communities with cover > 50%), warming (control vs. temperature increase) and rainfall exclusion (RE, control vs. rainfall reduction). Ten and eight replicates per combination of treatments were established in Aranjuez and Sorbas, resulting in a total of 80 and 64 experimental plots, respectively. We kept a minimum separation distance of 1 m between plots to minimize the risk of sampling non-independent areas. In Aranjuez, the open top chambers and rainfall shelters were setup in July and November 2008, respectively. In Sorbas, the full experiment was set up in May 2010.
The warming treatment aimed to simulate the average of predictions derived from six Atmosphere-Ocean General Circulation Models for the second half of the 21st century (2040-2070) in central and south-eastern Spain (De Castro et al., 2005 ). To achieve a temperature increase within this range, we used open top chambers (OTCs) of hexagonal design with sloping sides of 40 cm × 50 cm × 32 cm (see Fig. S2 for details). We used methacrylate to build our OTCs because this material does not substantially alter the characteristics of the light spectrum, and because it is commonly used in warming experiments (e.g., Hollister & Weber, 2000 ), including some conducted with biocrust-forming lichens (Maphanga et al., 2012). The methacrylate sheets used in our experiment transmit ~92% of visible light, have a reflection of incoming radiation of 4%, and pass on ~85% of incoming energy (information provided by the manufacturer; Decorplax S. L., Humanes, Spain). Direct measurements in our experiment revealed that these sheets filtered up to 15% of UV radiation (data not shown).
While predicted changes in rainfall for our study area are subject to a high degree of uncertainty, most climate models foresee important reductions in the total amount of rainfall received during spring and fall (between 10% and 50%; Escolar et al., 2012 (link)). To simulate these conditions, we set up passive rainfall shelters (described in Fig. S2). These shelters did not modify the frequency of rainfall events, which has been shown to strongly affect biocrust functioning and dynamics in other dryland regions (Reed et al., 2012 ), but effectively reduced the total amount of rainfall reaching the soil surface (average reduction of 33% and 36% in Aranjuez and Sorbas, respectively).
Air and surface soil (0-2 cm) temperatures, and soil moisture (0-5 cm depth) were continuously monitored in all treatments and sites using replicated automated sensors (HOBO® U23 Pro v2 Temp/RH and TMC20-HD sensors, Onset Corp., Pocasset, MA, USA, and EC-5 soil moisture sensors, Decagon Devices Inc., Pullman, WA, USA, respectively). Rainfall was also monitored using an on-site meteorological station (Onset Corp.).
Publication 2013
590-S A-factor (Streptomyces) Atmosphere Climate Diploschistes neutrophilus factor A Fever Gypsum Helianthemum Lichens Light Light, Visible Medical Devices Methacrylate Plants Poaceae Protemp Psora decipiens Radiation Reflex Squamarina lentigera Ultraviolet Rays
Samples of bone (50 to 120 mg) and dental enamel (10 to 50 mg) were dissolved in 1 mL of double-distilled HCl 7.0 M + 0.001% H2O2. Plant samples were first digested using Supra Pur concentrated HNO3 (Merck) overnight, then evaporated and redissolved in HCl 7.0 M + 0.001% H2O2. Zn was purified in two steps using first the protocol of Maréchal et al.27 and secondly modified technique adapted from Moynier et al38 . For this second step, the solution is evaporated to dryness and dissolved in 1 mL of HBr 1.5 M. Zn is further purified on 1 mL AG-1 × 8 resin (200–400 mesh) using 2 mL of HBr 1.5 M for matrix residue elution and 5 mL of HNO3 0.5 M for Zn elution. Every preparation batch included at least one standard (in-house or reference material) and a blank. Column steps allow the quantitative recovery of the initial amount of Zn27 38 . Following the protocol of Copeland et al.39 (link) for strontium isotopes, a regression equation was used for estimating the Zn concentrations of the solution runs, based on the 64Zn signal intensity (V) of three solutions with known Zn concentrations (150, 300 and 600 ppb). The purified Zn fraction was measured for Zn isotopes on a Thermo Neptune Multicollector ICP-MS at the Max Planck Institute for Evolutionary Anthropology using the protocol of Toutain et al.40 and Cu doping. In-house standard Zn AA-MPI was calibrated from JMC-Lyon and used for standard bracketing. This standard corresponds to an elementary standard solution of 1000 ppm (Alfa Aesar).
All samples and standards fall on the theoretical mass fractionation line (Fig. 3). The in-house standard gave similar results to those previously reported for this standard41 (Table S6). Values obtained when a standard of lichen (International reference material BCR 482) was analyzed were consistent with previous analyses18 42 (link)43 (link). The Zn isotope compositions of two other reference materials (bone standard SRM 1486 and bovine liver SRM 1577c) were investigated for later use as an internal standard (Table S6). δ66Zn uncertainties range between 0.04‰ −0.06‰. Standard reference materials and in-house standards were analysed along with the samples. Obtained values correspond to those published elsewhere (Table S6). δ66Zn, δ67Zn and δ68Zn values obtained for all samples and standards measured in this study lie on a line with a slope close to the theoretical value (Fig. 1).
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Publication 2016
Biological Evolution Bones Bos taurus Dental Enamel Fractionation, Chemical Isotopes Lichens Liver Peroxide, Hydrogen Plants Resins, Plant Strontium Isotopes
To develop the Edible Mushrooms Cultural Significance Index (EMCSI) we modified Pieroni's [21 ] model that includes seven cultural variables influencing CS: frequency of mention, perceived availability, frequency of use, taste score appreciation, plant parts used, multifunctional food use, and food-medicinal role. For EMCSI, we included from Pieroni's model the Mention Index (QI), Perceived Abundance Index (PAI), Frequency of Use Index (FUI), Taste Score Appreciation Index (TSAI) and Multifunctional Food Index (MFFI). Details of these variables can be found in Pieroni [21 ].
We eliminated Pieroni's Part Used Index because in plants, the roots, stem, leaves, flowers and fruits can be eaten alone or combined [12 (link)]. In Ixtlan in contrast, mushrooms are eaten as a whole and even if the stipe or cuticle are removed, there are hardly any cultural implications. It is important to mention that maybe in other places or cultures this variable could be useful and meaningful in terms of CS.
We eliminated also the Food-Medicinal Role Index because although in Mexico approximately 30 mushrooms (including lichens) are used with medicinal purposes [30 ], the food-medicine concept is not applied with them. This is, no mushrooms are consumed as nourishments and medicines at the same time. This contrasts with Asia (Korea, Japan, China) where this is quite common and almost 300 fungal species are used as medicines [31 ]. Instead of it we used the Health Index (HI). A very relevant factor influencing the CS of edible mushrooms is the possibility of becoming ill or dying after their consumption. Although plant toxicity is common too, people are always conscious that a mistake in mushroom identification could be fatal. HI evaluate where a species was placed by informants in the range between those species that are mislead because their toxicity or its similarity with toxic ones, and those that are eaten for health reasons.
In a general sense, "Culture" is defined as a socially patterned human thought and behavior with the properties of been shared, symbolic, integrated, learned, transmitted cross-generationally and adaptative [32 ]. From these characteristics, the last three are reflected in the appearance, permanence or extinction of resources uses; a matter not normally been part of CS evaluations. To assess this, we included the Knowledge Transmission Index (KTI).
Wild edible mushrooms are collected in more than 80 countries around the word; its sells estimated value is approximately $2 billion dollars a year. In rural areas, particularly in non-developed countries, the incomes due to mushrooms selling complete the economy of poor families [33 ]. For that reason, it could be expected that monetary value of mushrooms could affect substantially its CS in places where there are commercialized; we evaluated this with the Economic Index (EI).
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Publication 2007
Acclimatization Agaricales Consciousness Contrast Media Eating Extinction, Psychological Flowers Food Fruit Homo sapiens Lichens Pharmaceutical Preparations Plant Roots Plants Plants, Toxic Stem, Plant Taste Transmission, Communicable Disease
The KS domain of iterative type I PKS has been considered evolutionarily conserved (55 (link)), and thus it can serve as a proxy for the similarity of the entire PKS. We identified a total of 242 PKSs from the genomes of the six Cladonia spp. and S. alpinum, among which four PKSs (Cgr01615, Cgr03964, Cgr08611, and Cmt10189) (Data Set S2) were missing a KS domain. KS domain sequences were extracted from 238 PKSs using the online tool NaPDoS (70 (link)) and aligned using MUSCLE (v3.8.31) (71 (link)). For clustering analysis, an all-versus-all similarity matrix for KS domains of 238 PKSs was computed using the AlignBuddy function in the BuddySuite program (72 (link)), with an optional argument, “-pi.” A heat map showing the percentage of similarity of KS domains clustered by k-means was generated using the R package Superheat (73 (link)). For fungal NR-PKS phylogeny, we used concatenated protein sequences of KS and PT domains of 103 NR-PKSs found in the six Cladonia spp. and S. alpinum and 82 NR-PKSs that have been linked to known compounds in nonlichenized fungi (7 (link), 8 (link), 44 (link)) (Data Set S2). We initially identified 106 NR-PKSs in the six Cladonia spp. and S. alpinum, including seven NR-PKSs whose full sequences cannot be reliably defined from the current genome assembly (likely pseudogenes). Among these partial PKSs, three NR-PKSs (Cbo04702, Cma06590, and Cmt06606) (Data Set S2) lacked either the KS or PT domain and were excluded from the phylogenetic analysis. PT domains of lichen NR-PKSs were identified by aligning with those of previously characterized PKSs (8 (link)). A 6-methylsalicylic acid synthase (6MSAS) responsible for the biosynthesis of patulin (UniProtKB accession no. A0A075TRC0) in Penicillium expansum was set to be an outgroup to fungal NR-PKS phylogeny. Also, four 6MSASs found in four Cladonia spp. were included in the analysis (Cbo07291, Cgr05254, Cmt10005, and Cuc03485) (Data Set S2). Protein sequences of KS and PT domains were aligned using MAFFT (v7.310) (65 (link)) with the “auto” setting, and spurious sequences or poorly aligned regions from each domain were trimmed using the trimAl program (v1.2) (74 (link)), with the “gappyout” parameter. The resulting multiple-sequence alignments for KS and PT domains were concatenated with FASconCAT-G (v1.04) (75 (link)). From the concatenated sequences, maximum likelihood trees were computed with RAxML (v8.2) (67 (link)), using a gamma distribution for substitution rate across sites with the parameter setting “-m PROTGAMMAWAG.” Nodal support was evaluated by 1,000 bootstrap replications. The final tree was rooted to the 6MSAS outgroup and annotated by iTOL (v5.7) (76 (link)).
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Publication 2021
6-methylsalicylic acid Amino Acid Sequence Anabolism DNA Replication Fungi Gamma Rays Genome Lichens Muscle Tissue Nitric Oxide Synthase Patulin Penicillium expansum Pseudogenes Sequence Alignment Trees
For the present studies, U. barbata was harvested from a region located at 900 m altitude from the Călimani mountains (Suceava county, Romania) in March 2020 because the lichen secondary metabolites are at maximum level [57 (link)] in early winter or early spring and a minimum level during the summer [58 (link)].
U. barbata was manually harvested directly from the branches of conifers. The fresh lichen was cleaned of impurities and dried at 18–25 °C, in a herbal room, sheltered from the sun rays. After drying, the obtained herbal product was preserved for a long time in the same conditions for use in subsequent studies. The lichen species identification was performed by the Department of Pharmaceutical Botany of the Faculty of Pharmacy, Ovidius University of Constanta, using standard methods.
A weighing ampoule brought to constant weighed together with the lichen sample was kept in the oven at 105 °C, for two hours, and then cooled in the desiccator and weighed. The drying process continued in the oven for one hour, followed by cooling and weighing, until the constant weight was achieved [59 ].
The dried lichen was ground to a powder and extracted for eight hours with each solvent (acetone, ethyl acetate, ethanol, methanol, water) in a Soxhlet continuous reflux system. Extraction was different for each extract, being around the boiling point of each solvent. After filtration, the water extract was concentrated on rotavapor Butchi R-215 with a vacuum controller V-850 lyophilized a with freeze-dryer Christ Alpha 1–2 B Braun Biotech International with vacuum pump RZ 2.5.
In the other four U. barbata extracts, the rotary evaporator TURBOVAP 500 Caliper was used for evaporation of the solvents. Next, these extracts were kept for 16 h in a chemical exhaust hood for each optimal solvent evaporation.
The obtained dry extracts were transferred to sealed-glass bottles and stored in the freezer (Sirge FREEZER) at −24 °C until processing.
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Publication 2021
Acetone Ethanol ethyl acetate Faculty, Pharmacy Filtration Freezing Lichens Methanol Pharmaceutical Plants Powder Radiation Solvents Tracheophyta Vacuum

Most recents protocols related to «Lichens»

Maxwell Bay (62°25′S; 58°85′W) is located between King George Island and Nelson Island in the South Shetland Islands of Antarctica. It is a common fjord-like Antarctic embayment characterized by a U-shaped deep basin. Fieldwork was carried out in Barton Peninsula, Fildes Peninsula, Weaver Peninsula, and Ardley Island located around Maxwell Bay (Fig. 1). The study area includes the Antarctic Specially Protected Areas (ASPAs) that are designated to protect environmental and scientific values such as breeding bird colonies, relatively extensive flora, and geological features under the Antarctic Treaty System. Narębski Point (ASPA No. 171) encloses penguin colonies and is located on the southeast coast of Barton Peninsula, King George Island. Ardley Island is an islet that is 1.9 km long and is located off the southwest end of King George Island. Bird colonies inhabit the area, and the whole island has been designated as ASPA No. 150 (Fig. 1).

Maxwell Bay, King George Island, Antarctica. Lichen samples were collected from (1) Barton Peninsula, (2) Weaver Peninsula, (3, 4) Fildes Peninsula, and (5) Ardley Island. Antarctic Specially Protected Area (ASPA) No. 171 and ASPA No. 150 marked with asterisks

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Publication 2023
Aves Fjord Lichens Spheniscidae
Molecular phylogenetic analyses were applied to 49 lichen species that were not clearly identified by morphological and chemical characteristics. Seventy-three specimens were identified using molecular analyses and among them, we obtained nucleotide sequences from 61 specimens through this study (Table S1). The samples of thalli were preserved at -80 °C in 100% ethanol for molecular analyses. For DNA extraction, samples were washed three times with 0.85% NaCl by vigorous mixing, spin down, and discarding of the supernatant. Samples were then freeze-dried and ground into a fine powder using a Tissue lyser (QIAGEN). DNA extraction was performed according to the DNA extraction protocol of the Exgene soil DNA mini kit (GeneAll, Cat No. 114–150). ITS1-5.8S-ITS2 (ITS) were amplified using ITS1F and LR5 (Gardes & Bruns, 1993 (link); Vilgalys & Hester, 1990 (link)) and sequenced using the ITS1F and LR5 primers by the procedures described in a previous study (Park et al., 2012 (link)).
Sequence alignments of ITS2—nucLSU rDNA were conducted using the program jPHYDIT (Jeon et al., 2005 (link)) and were manually adjusted. Ambiguously aligned sites were excluded for phylogenetic analyses. Phylogenetic trees (Fig. S1) were inferred for ITS by maximum parsimony (MP), neighbor joining (NJ) and maximum likelihood (ML). The MP tree was obtained using the Subtree-Pruning-Regrafting (SPR) (Nei & Kumar, 2000 ), the NJ tree was obtained using the p-distance method and the ML tree was obtained using the GTR + I + G evolutionary model of MEGA X (Lanave et al., 1984 (link); Nei & Kumar, 2000 ) with search level 5, in which the initial trees were obtained by bootstrap method (1000 replicates). All positions containing gaps were treated as missing data. Genbank accession numbers of the sequences are included in Table S1. Obtained sequences were handled for the determination of sequence similarity with reference sequences from the NCBI database (https://blast.ncbi.nlm.nih.gov/).
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Publication 2023
Base Sequence Biological Evolution DNA, Ribosomal Ethanol Freezing Lichens Oligonucleotide Primers Powder Sequence Alignment Sequence Determinations Sodium Chloride Tissues Trees
Bioindication studies in selected control sections were performed using the Macrophyte Method for River Assessment (MMRA) [23 ]. The method is based on the qualitative and quantitative assessment of the species composition of macrophytes present in the water. It allows for determining the degree of degradation of the watercourse, mainly in relation to its trophic state. The research was carried out on 100-meter representative sections of the analyzed river. MMRA was assessed at five points: T1 named, Zielonka” (52°33’26.05"N, 17°06’40.76"E), T2:, Głęboczek” (52°3428.82" N, 17°06’06.92"E), T3:, Gębice” (52°36’12.46"N, 17°02’58.09"E), T4:, behind the Przebędowo reservoir” (52°35’06.55"N, 17°00’55.05"E), T5:, Mściszewo” (52°35’05.54"N, 16°58’14.95"E). The locations of the points are shown on the map in Fig 1. In the MMRA study, only macrophytes growing in water (at least rooted in water or in the so-called splash zone) were recorded. According to the methodology, macrophytes were identified to the species level or genus, in the case of algae. 189 indicator taxa are used to calculate the MRI index, including 63 monocotyledonous vascular plants, 55 dicotyledons, 5 ferns, 27 mosses, 13 liverworts, 1 water lichen (Collema), 22 macroalgae, 2 cyanobacteria and 1 colony bacterium (Sphaerotilus natans). For each taxa, the share in watercourse coverage was recorded using the following nine-point scale: 1 for <0.1%, 2 for 0.1–1%, 3 for 1–2.5%, 4 for 2.5–5%, 5 for 5–10%, 6 for 10–25%, 7 for 25–50%, 8 for 50–75% and 9 for >75%. Based on the inventory, the Macrophyte River Index (MRI) was calculated, which, when related to the reference values for a given macrophyte type, allows for the assessment of the ecological status defined by the Water Framework Directive [2 , 24 (link)].
The total number of species was assessed by direct identification in the field. Species that grew in the water or amphibious species growing on the watercourse bank, leaning towards the water, are included.
Indicator species were identified based on the list of macrophyte species used in the MMRA. The basic criterion for selecting species for the index list is the trophic level of the aquatic environment in which a given taxon occurs (from advanced trophic to oligotrophy). Additionally, the criterion is the ecological tolerance of the species (from sten- to eurotypic). Indicator plants and all other aquatic plants were identified in a 100-meter stretch of the watercourse.In addition, the degree of coverage was assessed based on all species of aquatic plants present in the riverbed.
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Publication 2023
Bacteria Cyanobacteria Ferns Immune Tolerance Lichens Liverworts Magnoliopsida Mosses Plants Rivers Seaweed Sphaerotilus natans Tracheophyta
In order to infer the seasonal variations in 87Sr/86Sr intra-tooth profiles we needed to define the seasonal context of the enamel formation. The timing of mineralisation in Rangifer is poorly characterised but using fallow deer teeth formation as a proxy10 (link),23 (link), M2 and M3 enamel formation are expected to occur between 3.5 and 9 months, and between 9 and < 18 months, respectively49 (link). We also used 13C and 18O isotopes to determine seasonality9 ,51 (link). Fluctuations in 18O intra-tooth values reflect seasonal variations in temperatures with high 18O values in summer and low 18O values in winter9 ,52 (link). On the other hand, variations in 13C reflect changes in diet51 (link),67 (link). Caribou feed mainly on grass and vascular plants in summer then switch to a lichen-rich diet in winter71 (link), which should translate into an enrichment in 13C50 ,51 (link). Along with the initial 87Sr/86Sr analysis, sequential 13C enamel data48 and sequential 18O enamel data23 (link) were produced for the 5 individuals through analysis of the carbonate moiety. We used these 13C and 18O profiles to anchor seasonality within the M2 and the M3, assuming high 13C and 18O low for winter and the opposite for summer. From these profiles and according to other 13C and 18O studies on modern and archaeological Rangifer9 ,10 (link), we assumed, for the M2, the endmember close to the occlusal surface (OS) to correspond to the late summer/autumn period, and the endmember close to the enamel-root junction (ERJ) to correspond to the wintering period. For the M3, OS and ERJ endmembers were expected to correspond respectively to the winter and to the late summer/autumn periods.
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Publication 2023
Carbonates Deer Dental Enamel Lichens Oxygen-18 Physiologic Calcification Poaceae Reindeer Therapy, Diet Tooth Tooth Root Tracheophyta
Igara Tea farms in the Bushenyi district of southwest Uganda provided fresh green tea leaves (Camellia sinensis). They were scrubbed clear of dirt and lichens before being placed on drying tables with a fresh piece of paper in a shady area to dry. After being chopped or sliced into smaller pieces measuring 1–2 cm2, the plant materials were then ground into a powder using an electric laboratory grinder. Two separate extraction bottles containing 400 g of each powdered plant material each were filled with 1.5 L of deionized water for the extraction process. The mixtures were then allowed to steep for five days with occasional stirring twice a day to ensure homogenous mixing and extraction. The crude extract was filtered and the marc was discarded while the filtrate was concentrated over steel pans in an oven at 45 °C for 48 h. After concentration by evaporation, the sample was scrapped off the pans onto a clean Aluminum foil, weighed, put in a ziplock, and kept at 4–8 °C. It was then used for the nanoparticles extraction using molecular grade silver nitrate purchased from Sigma Aldrich USA and following the standard methods with minor modifications [32 ]. By adding 1 ml of green tea extract (1 g/ml) to two 100 ml round bottom flasks each containing 49 ml of an aqueous solution containing 85 mg of silver nitrate, AgNPs were created (0.5 mM). The magnetic stir bar and cooling condenser were attached to the round-bottom flask. The reaction mixture was allowed to stand for 2 h at 85 °C, after which it was allowed to cool and centrifuged for 30 min at 9000 rpm. The resultant sediment was thoroughly cleaned many times in distilled deionized water before being baked in an oven for 12 h at 80 °C. This was measured out (50 mg), collected into 1.5 ml Eppendorf tubes, and then stored for later use at 4 °C using aluminum foil. The biosynthesized AgNPs were characterized by ultraviolet (UV)-visible spectroscopy; Fourier transforms infrared spectroscopy (FTIR-1000) Perkin Elmer, X-ray diffraction (XRD) and Field Emission Scanning electron microscopy (FESEM)-Carl Zeiss Sigma model (see Ref. [33 ] on expanded protocol).
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Publication 2023
Aluminum Camellia sinenses CCL7 protein, human Complex Extracts Electricity Green Tea Homozygote Lichens Plants Scanning Electron Microscopy Silver Nitrate Spectroscopy, Fourier Transform Infrared Spectrum Analysis Steel STEEP1 protein, human X-Ray Diffraction

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More about "Lichens"

Lichens are a fascinating and diverse group of organisms that play a crucial role in various ecosystems.
These symbiotic associations between a fungus (the mycobiont) and a photosynthetic partner (the photobiont), typically either a green alga or a cyanobacterium, can be found in a wide variety of habitats around the world.
Lichens exhibit an astounding array of morphologies, colors, and growth forms, making them a captivating subject for researchers and enthusiasts alike.
These remarkable organisms are not only used in bioindication and air quality monitoring, but also have applications in traditional medicine.
Exploring the complex biology and ecology of lichens can provide valuable insights into their adaptations and survival strategies.
Researchers use a variety of tools and techniques to study these fascinating life forms, including microplate readers, DNeasy Plant Mini Kits, SMZ745T stereomicroscopes, and DMSO-based extraction methods.
Advanced imaging systems, such as the BX50 microscope, Axio Cam ERc 5 s, DS-Fi2, and AxioCam MRc5, allow scientists to capture high-quality visuals of lichen specimens, revealing their intricate structures and patterns.
Additionally, techniques like PCR (using a PCR quick-spin PCR Product Purification Kit) and LC-20A liquid chromatography are employed to analyze the genetic and chemical compositions of lichens.
By optimizing research protocols and leveraging the power of data-driven platforms like PubCompare.ai, scientists can ensure the reproducibility and accuracy of their lichen studies, ultimately advancing our understanding of these remarkable organisms and their potential applications.