Outline
Comptes Rendus

Molecular biology and genetics/Biologie et génétique moléculaires
Comparison of ITS, RAPD and ISSR from DNA-based genetic diversity techniques
Comptes Rendus. Biologies, Volume 339 (2016) no. 5-6, pp. 171-178.

Abstract

ITS, RAPD-PCR and ISSR-PCR are most popular DNA-based techniques that are extensively applied in the determination of the genetic diversity of species among populations. However, especially for organisms having high genetic polymorphism, phylogenetic trees drawn from the results of these techniques may be different. For finding a meaningful phylogenetic tree, it should be compared phylogenetic trees obtained from these different techniques with geographic locations of populations. Lichens have a high genetic polymorphism and tolerance against different environmental conditions. In this study, these three DNA-based genetic diversity techniques were compared, using different populations of a lichen species (Xanthoria parietina). X. parietina was especially chosen because of its high genetic diversity in narrow zones. Lichen samples were collected from ten different locations in a narrow transition climate zone Bilecik (Turkey). Statistical analyses of all results were calculated using UPGMA analysis. Phylogenic trees for each technique were drawn and transferred to the Bilecik map for comparative analysis. The results of three techniques allowed us to verify that populations of X. parietina have high genetic variety in a narrow zone. But phylogenetic trees obtained from these results were found to be very different. Our comparative analysis demonstrated that the results of these techniques are not similar and have critical differences. We observed that the ITS method provides more clear data and is more successful in genetic diversity analyses of more asunder populations, in contrast to ISSR-PCR and RAPD-PCR methods.

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DOI: 10.1016/j.crvi.2016.04.001
Keywords: Genetic diversity, Population genetics, ITS, ISSR, RAPD, Lichens

Ismail Poyraz 1

1 Bilecik Seyh Edebali University, Faculty of Letters and Science, Molecular Biology and Genetics Department, Gulumbe Campus, 11210 Bilecik, Turkey
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     title = {Comparison of {ITS,} {RAPD} and {ISSR} from {DNA-based} genetic diversity techniques},
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Ismail Poyraz. Comparison of ITS, RAPD and ISSR from DNA-based genetic diversity techniques. Comptes Rendus. Biologies, Volume 339 (2016) no. 5-6, pp. 171-178. doi : 10.1016/j.crvi.2016.04.001. https://comptes-rendus.academie-sciences.fr/biologies/articles/10.1016/j.crvi.2016.04.001/

Version originale du texte intégral

1 Introduction

In recent years, many Polymerase Chain Reaction (PCR)-based molecular markers, such as Internal Transcribed Spacer Region (ITS) [1,2], Random Amplified Polymorphic DNA (RAPD) [3–5], and Inter-Simple Sequence Repeat (ISSR) [6–9] markers have been developed and tested in genetic studies of various organisms among populations [4,10]. These techniques have been used for the determination of genetic variation in lichens or lichen-forming fungal species and populations [10]. Molecular markers provide the best estimates for genetic diversity that are independent of the effect of various environmental factors [11]. The tolerance ability of lichen [12,13] and fungi to different environmental conditions is predicted as a consequence of their genetic diversity [14,15]. ITS markers have been used for the identification of photobiont species based on only one locus [2]. These photobiont diversity studies have been carried out at the species level using lichen samples from geographically different locations [10]. Photobiont diversity of populations has also been determined in some of these studies [10]. RAPD markers are useful for studying intraspecific species, because of their low cost and especially because they facilitate the preliminary study, which requires a large sample size from each population [4]. RAPD fingerprinting has also been used for intraspecific genetic variation studies in cultures of the mycobionts and photobionts [16]. ISSR-PCR is a technique requiring a single primer based on SSR (microsatellites) markers. SSRs are common in the genome and changes in the SSRs, such as deletion or insertion, lead to ISSR polymorphism [6]. Like RAPD markers [6], ISSRs also have low cost and have been used to investigate the intraspecific genetic variation of lichen-forming fungi [16]. Xanthoria parietina is an easily observed and readily recognized lichenized species, exceedingly common in the world. It has a large number of morphological and ecological variations [14,17]. Therefore, X. parietina has been preferred as a model organism to examine the partitioning of genetic variation [16]. In this study, ITS, RAPD-PCR and ISSR-PCR techniques were compared, using X. parietina populations from a narrow and transition climate zone (Bilecik, Turkey).

2 Materials and methods

2.1 Collecting and DNA isolation

Freshly collected specimens of X. parietina from 10 locations (Table 1) in Bilecik (Turkey) were stored at −20 °C before DNA isolation. DNA was isolated from the photobiont-free lower cortex of young thallus lobes using the PureLink® Plant Total DNA Purification Kit (Invitrogen, Carlsbad, CA, USA). The quantity and purity of the DNA sample was determined using a NanoDrop Spectrophotometer (Shimadzu, Kyoto, Japan).

Table 1

Collecting locations and co-ordinates of X. parietina populations.

Table 1
Population Collector Collecting site Co-ordinates
Pop-1 (XpNo1) D. Ozakca Dereboyu Village N 40° 02′ 45.9″
E 030° 12′ 33.8″
Pop-2 (XpNo2) I. Poyraz Orhangazi Quarter N 40° 06′ 18.3″
E 029° 59′ 12.7″
Pop-3 (XpNo3) I. Poyraz Pazaryeri Borough Rubber Factory N 39° 58′ 41.7″
E 029° 58′ 30.7″
Pop-4 (XpNo4) I. Poyraz Bozüyük Toprak Demirdöküm Factory N 39° 51′ 27.2″
E 030° 13′ 49.32″
Pop-5 (XpNo5) I. Poyraz Bozüyük Borough, Belt line N 39° 53′ 52.1″
E 030° 03′ 11.1″
Pop-6 (XpNo6) I. Poyraz Near to Sorgun River N 40° 06′ 02.1″
E 029° 59′ 47.2″
Pop-7 (XpNo7) I. Poyraz Karaköy Village N 39° 59′ 26.7″
E 029° 59′ 42.8″
Pop-8 (XpNo8) I. Poyraz & D. Ozakca Dömez Village N 40° 04′ 03″
E 030° 08′ 08″
Pop-9 (XpNo9) I. Poyraz Tünel Site between Bilecik-Bozüyük N 40° 01′ 50.0″
E 030° 01′33.4″
Pop-10 (XpNo10) I. Poyraz & D. Ozakca Söğüt Borough N 40° 05′ 36.5″
E 0.30° 12′ 29″

2.2 ITS regions analysis

Amplification of ITS fragments from genomic DNA was carried out in a total reaction volume of 25 μL, containing 8 ng of genomic DNA, IX Taq polymerase reaction buffer, 1.5 mM of MgCl2, 0.1 mM of each one of the dNTPs (dATP, dCTP, dGTP, and dTTP), 0.2 mM of ITS forward primer (5′GAAATCATCGAATCTTTGAACGCAG3′), 0.2 mM of reverse primer (5′CGAGGTCAATCATTGGAATTTGG3′) and 1 U of Taq DNA-polymerase (Fermentas. Maryland, USA). ITS primers are fungal-specific. Amplifications were performed in a Techne TC Plus thermocycler (Techne Inc., Burlington, USA) programmed as follows: 3 min of denaturation at 95 °C and 40 cycles of 1 min each of denaturation at 94 °C, 75 s of annealing at 53.5 °C for ITS amplification, and a 75-s extension at 72 °C, followed by a final extension at 72 °C for 7 min. Amplification products were separated on 1.2% agarose gel containing ethidium bromide (0.5 ug/mL). The gel was visualized under UV light and digitally photographed with a Gel Logic 212Pro imaging system (Carestream, Rochester, NY). ITS-PCR products were digested overnight at 37 °C with 10 units of restriction enzymes (AluI, BamHI, EcoRI, HindlII, SmaI, SalI) in a buffered medium used according to the manufacturer's recommendation (Fermentas). The digested DNA samples were electrophoresed on 1.2% agarose gel at 5 V/cm and photographed by using a Gel Logic 212Pro imaging system (Carestream). The molecular weights of ITS-PCR products were estimated using a 100 bp Plus DNA Ladder (Fermentas).

2.3 RAPD-PCR analysis

RAPD analysis was performed according to the method of Williams et al. [18]. The initial primer screening was carried out with 10 primers after screening; 8 primers that amplified clear, reproducible banding patterns were used for further analysis (Table 2). PCR amplifications were performed in 25 μL of a reaction mixture containing 15 ng of template DNA, 1X Taq polymerase buffer, and 1 U of Taq polymerase (Fermentas), 2.0 mM of MgCl2, 1 mM of dNTP, and 1 μM of primer. The amplifications were carried out in a Techne TC Plus thermocycler (Techne Inc.) that was programmed for the initial denaturation step at 85 °C for 15 s and at 92 °C for 2 min, followed by 45 cycles at 94 °C for 1 min, at 32–36 °C for 1 min, at 72 °C for 2 min, and a final elongation at 72 °C for 7 min. PCR reactions for RAPD primers were repeated twice to ensure the reproducibility of the amplified products. The PCR products were separated on a 1.5% agarose gel containing ethidium bromide (0.5 μg/mL) and photographed using a Gel Logic 212Pro imaging system (Carestream). Molecular weights of RAPD-PCR products were estimated using a 100 bp Plus DNA Ladder (Fermentas).

Table 2

RAPD banding pattern of 10 X. parietina populations.

Table 2
Primer name Sequence Total bands Polymorphic bands Polymorphism (%)
P-9 GGGAAGAGAG 6 5 83
P-11 GGCCGATGAT 21 21 100
P-13 ACCGGCTTGT 7 6 86
OPA-01 CAGGCCCTTC
OPA-06 GGTCCCTGAC 19 18 95
OPA-07 GGTCCCTGAC 10 8 80
OPA-11 CAATCGCCGT 10 8 80
OPA-20 GTTGCGATCC 8 8 100
OPC-04 CCGCATCTAC
OPD-07 TTGGCACGGG 10 10 100

2.4 ISSR-PCR analysis

The initial primer screening for ISSR-PCR was carried out with 12 primers after screening for all samples; 8 primers that amplified clear, reproducible banding patterns were used for further analysis (Table 3). Amplification of ISSR fragments from genomic DNA was carried out in a total reaction volume of 25 μL containing 10 ng of template DNA, 1X Taq polymerase reaction buffer, 2 mM of MgCl2, 0.1 mM of each one of dNTPs (dATP, dCTP, dGTP, and dTTP), 0.2 mM of primer and 1 U of Taq DNA-polymerase (Fermentas). Amplifications were performed in a Techne TC Plus thermocycler (Techne Inc.) programmed as follows: 4 min of denaturation at 94 °C and 45 cycles of 45 s each of denaturation at 94 °C, 50-s annealing at 45–60 °C for ISSR amplification, and a 1.5-min extension at 72 °C, followed by a final extension at 72 °C for 7 min. The amplification products were separated on a 1.2% agarose gel containing ethidium bromide (0.5 μg/mL). The gels were visualized under UV light and digitally photographed with Gel Logic 212Pro imaging system (Carestream). The molecular weights of ISSR-PCR products were estimated using a 100 bp Plus DNA Ladder (Fermentas).

Table 3

ISSR banding pattern of 10 X. parietina populations.

Table 3
Primer name Sequence Total bands Polymorphic bands Polymorphism (%)
ISSR-1 AGAGAGAGAGAGAGAGG
ISSR-3 GTGTGTGTGTGTGTGTC 14 12 86
ISSR-4 ACACACACACACACACC 27 27 100
ISSR-6 GAGAGAGAGAGAGAGAC 10 9 90
ISSR-7 GACAGACAGACAGACA
ISSR-9 GGATGGATGGATGGAT
ISSR-814 CTCTCTCTCTCTCTCTA 7 6 86
ISSR-819 CACACACACACACACAG 7 7 100
ISSR-829 TCTCTCTCTCTCTCTCG 12 12 100
ISSR-847 CACACACACACACACARC 6 5 83
ISSR-865 VHVGTGTGTGTGTGTGT 8 7 87.5
ISSR-867 GGCGGCGGCGGCGGCGGC

2.5 Data analysis

The bands obtained by ITS, RAPD and ISSR techniques were scored as present (1) or absent (0). Faintly stained bands that are not clearly resolved were not considered in the data collection. Bands with the same migration distance were considered homologous. The genetic similarity matrixes for all methods were calculated using the Jaccard similarity coefficient [19] and created a dendrogram using an unweighted pair-group method with arithmetic mean (UPGMA). The dendrograms from the results of each technique were obtained, and these trees were transferred to locations in the Bilecik map using MS Drawing Program.

3 Results and discussion

3.1 ITS regions analysis

In this study, fungal-specific ITS primers were used. ITS region fragments were amplified by PCR from 10 populations, and one obtained an approximately 445 bp ITS band (Fig. 1). Amplified ITS fragments were digested with AluI, BamHI, EcoRI, HindlII, SmaI and SalI restriction enzymes and various sizes were observed, ranging from 100 bp to 300 bp banding patterns (Fig. 2). The dendrogram, created using the observed bands, was transferred to the Bilecik map and compared with population locations (Fig. 3). The data of our ITS analyses showed that the ITS dendrogram partially matches the population locations on the map. The populations were correctly grouped into two main regions, but discrimination of the close populations was not correct.

Fig. 1

The amplified Internal Transcribed Spacer (ITS) region fragments. M: GeneRuler 100 bp Ladder Plus, 1–10: Xanthoria parietina populations.

Fig. 2

Restriction digestion of Internal Transcribed Spacer (ITS) region fragments with Alu I and EcoRI enzymes and observed banding patterns. M: GeneRuler 100 bp Ladder Plus, 1–10: Xanthoria parietina populations.

Fig. 3

A. Dendrogram of the genetic relationships of 10 Xanthoria parietina populations based on genetic similarity using Internal Transcribed Spacer (ITS) Regions Analysis. B. Jaccard similarity coefficients among X. parietina populations. C. Comparison of the locations on the map according to the dendrogram.

In 2005, Lindblom and Ekman compared the neighbor-joining phylogenetic trees of ITS and inter-genic spacer (IGS) methods in Xanthoria species and demonstrated that the dendrograms obtained with these methods did not match [20]. In 2006, Lindblom and Ekman performed IGS and ITS methods again for determining the genetic diversity of X. parietina populations in central Norway [16]. They demonstrated that pairwise comparisons of populations revealed significant differentiation between populations in different habitats, but not between populations in the same habitat [16]. Bilecik has a transition climate and includes different habitats. On Fig. 3, X. parietina populations were separated into two branches in different habitats as north and south regions. But populations in the same habitat were not separated correctly. The results of our ITS analyses confirmed the results of Lindblom and Ekman [16].

The ITS regions have the highest probability for successful identification of the broadest range of fungi, and ITS markers are a popular phylogenetic marker in certain groups [2]. The lichen-forming fungi have been preferred over the photoautotrophic inhabitants of lichen thalli, as fungal material in ITS analyses. ITS phylogenies are based on only one locus. But genetic diversity at the sub-specific level is best explored with a multi-locus approach such as fingerprinting techniques (ISSR, RAPD, etc.) [10].

3.2 RAPD-PCR analysis

Amplified fragments were obtained in the molecular weight range from 300 bp to 3.0 kb using RAPD markers (Fig. 4). The dendrogram created using RAPD-PCR band data was transferred to the Bilecik map and compared with population locations (Fig. 5). We observed that the RAPD dendrogram matches the population locations on the map. According to the phylogenetic tree on Fig. 5, the population distribution on the map is partially consistent. The discrimination of close X. parietina populations was successfully performed. But the branching of two populations (pop-1 and pop-2) were abnormal and meaningless. Recent studies have shown that RAPD-PCR is suitable for gaining valuable insights into the genetic diversity at the sub-specific level in X. parietina populations [10]. Itten and Honegger [21] performed a genetic diversity analysis in three X. parietina populations using eight RAPD primers and observed high genetic diversity within populations of X. parietina. Our results confirmed the results of Itten and Honegger. They alleged that that the main causes of the high genetic diversity in X. parietina might be the accumulation of mutations and an intense genotype rather than gene (allele) flow [21]. Lindblom and Ekman [14] demonstrated that RAPD distance matrices based on independently performed band scores are always congruent and that differences never affect the conclusions. They presented that RAPD clearly distinguishes Xparietina and Xaureola. Our results demonstrated that RAPD-PCR analysis is a successful method for the genetic discrimination of close populations in the same habitats. Honegger et al. [17] performed genetic diversity analysis of specimens of X. parietina collected from worldwide locations using RAPD markers. Their results demonstrated that two asunder populations from France and New Zealand are genetically close. Therefore, we may say that RAPD-PCR analysis includes some deflections in the genetic discrimination of populations having high genetic diversity in different habitats.

Fig. 4

Random Amplified Polymorphic DNA (RAPD) banding patterns in populations of Xanthoria parietina as revealed by OPA-06 primer, M: GeneRuler 100 bp Ladder Plus, 1–10: X. parietina populations.

Fig. 5

A. Dendrogram of genetic relationships of 10 Xanthoria parietina populations based on genetic similarity using Random Amplified Polymorphic DNA (RAPD) markers. B. Jaccard similarity coefficients among X. parietina populations. C. Comparison of the locations on the map according to the dendrogram.

3.3 ISSR-PCR analysis

Amplified ISSR fragments from genomic DNA of X. parietina populations of various sizes, ranging from 400 bp to 3000 bp, were observed (Fig. 6). The created dendrogram using ISSR-PCR band data was transferred to the Bilecik map and compared with population locations (Fig. 7). On Fig. 7, it was shown that the results of ISSR-PCR and RAPD-PCR methods are very similar. The branching of population-2 was abnormal and meaningless in phylogenetic dendrograms of both methods. The distribution of the other populations on map according to the phylogenetic tree was relatively consistent. Discrimination of close X. parietina populations was successfully performed with ISSR markers. To date, there has been no study about ISSR fingerprint analyses in populations of X. parietina. A few studies were performed in lichens. Recently, Wongsawad and Peerapornpisal [9] performed ISSR fingerprint analyses in Spirogyra ellipsospora, which is common in northern Thailand. S. ellipsospora is found in a wide range of habitats, as small stagnant water bodies, rivers, and streams. Four Spirogyra sp. and only one S. ellipsospora were used in ISSR fingerprint analyses and a dendrogram was derived from UPGMA analyses. Their ISSR markers separated the five Spirogyra specimens into two distinct clusters. This result corresponds to cluster analysis of the rbcL gene, with fewer differences in the sister clusters [9]. It is known that ISSR-PCR is a successful method in genetic discrimination of close populations in the same habitats. Results of our ISSR-PCR analysis demonstrated the presence of high genetic diversity in X. parietina populations. In addition, the results of the ISSR-PCR method also proved to be similar to those of RAPD-PCR methods. We also observed that both techniques might include some deflections. In contrast to these two methods (ISSR and RAPD), we may say that ITS analysis is a successful method for the genetic discrimination of populations having high genetic diversity in different habitats.

Fig. 6

Inter-Simple Sequence Repeat (ISSR) banding patterns in populations of Xanthoria parietina as revealed by ISSR-829 primer, M: GeneRuler 100 bp Ladder Plus, 1–10: X. parietina populations.

Fig. 7

A. Dendrogram of the genetic relationships of 10 Xanthoria parietina populations based on genetic similarity using Inter-Simple Sequence Repeat (ISSR) markers. B. Jaccard similarity coefficients among X. parietina populations. C. Comparison of the locations on the map according to the dendrogram.

4 Conclusion

The results of this study demonstrated that RAPD-PCR and ISSR-PCR methods are more suitable for studies of high genetic diversity species among populations. These two techniques are more sensitive for detecting the genetic differences between closer populations in similar habitats. It has been observed that the discrimination capacity of these two techniques decreases relatively when populations become distant in terms of location. In addition, two asunder populations (pop-2 and pop-4) are genetically closer in the phylogenetic trees of RAPD and ISSR-PCR techniques. These two populations, having similar environmental conditions, are a low possibility. Therefore, this case may be commented as an exception. It has been observed that ITS method is more successful in genetic diversity analyses of more asunder populations. In contrast to ISSR-PCR and RAPD-PCR methods, ITS method provided more clear data in regional genetic discrimination of populations. Consequently, we may say that ITS method is more suitable for genetic diversity analyses of populations in wide geographic areas.

Acknowledgments

The author would like to thank Dr. Dilek Özakça for technical assistance and master pharmacist Ahmet Saraçoğlu for critical reading of manuscript. This study has been supported by the Scientific Research Projects Commission of Bilecik Seyh Edebali University (project No. 2010-02-BİL.03-003).


References

[1] D.Z. Li; L.M. Gao; H.T. Li; H. Wang; X.J. Ge; J.Q. Liu; Z.D. Chen; S.L. Zhou; S.L. Chen; J.B. Yang; C.X. Fu; C.X. Zeng; H.F. Yan; Y.J. Zhu; Y.S. Sun; S.Y. Chen; L. Zhao; K. Wang; T. Yang; G.W. Duan Comparative analysis of a large dataset indicates that internal transcribed spacer (ITS) should be incorporated into the core barcode for seed plants, Proc. Natl. Acad. Sci. U S A, Volume 108/49 (2011), pp. 19641-19646

[2] C.L. Schoch; K.A. Seifert; S. Huhndorf; V. Robert; J.L. Spouge; C.A. Levesque; W. Chen; Fungal Barcoding Consortium Nuclear ribosomal internal transcribed spacer (ITS) region as a universal DNA barcode marker for fungi, Proc. Natl. Acad. Sci. U S A, Volume 109/16 (2010), pp. 6241-6246

[3] R. Di Cagno; G. Minervini; E. Sgarbi; C. Lazzi; V. Bernini; E. Neviani; M. Gobbetti Comparison of phenotypic (Biolog System) and genotypic (random amplified polymorphic DNA-polymerase chain reaction, RAPD-PCR, and amplified fragment length polymorphism, AFLP) methods for typing Lactobacillus plantarum isolates from raw vegetables and fruits, Int. J. Food Microbiol., Volume 143 (2010), pp. 246-253

[4] U. Thaenkham; W. Pakdee; S. Nuamtanong; W. Maipanich; S. Pubampen; S. Sa-Nguankiat; C. Komalamisr Population structure of Angiostrongylus Cantonensis (Nematoda: Metastrongylidae) in Thailand based on PCR-RAPD markers, Southeast Asian J. Trop. Med. Public Health, Volume 43/3 (2012), pp. 567-573

[5] S. Rezinciuc; J. Galindo; J. Montserrat; J. Die-Guez-Uribeondo AFLP-PCR and RAPD-PCR evidences of the transmission of the pathogen Aphanomyces astaci (Oomycetes) to wild populations of European crayfish from the invasive crayfish species Procambarus clarki, Fungal Biol., Volume 118 (2014), pp. 612-620

[6] X.M. Wang Optimization of DNA isolation, ISSR-PCR system and primers screening of genuine species of rhubarb, an important herbal medicine in China, J. Med. Plants Res., Volume 4 (2010) no. 10, pp. 904-908

[7] P. Li; S. Cao; Y.L. Dai; X.L. Li; D.F. Xu; M. Guo; Y.M. Pan; Z.M. Gao Genetic diversity of Phytophthora capsici (Pythiaceae) isolates in Anhui Province of China based on ISSR-PCR markers, Genet. Mol. Res., Volume 11 (2012) no. 4, pp. 4285-4296

[8] E. Karimi; H.Z.E. Jaafar; M.A. Aziz; S. Taheri; R. AzadiGonbad Genetic relationship among Labisia pumila (Myrsinaceae) species based on ISSR-PCR, Genet. Mol. Res., Volume 13 (2014) no. 2, pp. 3301-3309

[9] P. Wongsawad; Y. Peerapornpisal Molecular identification and phylogenetic relationship of green algae, Spirogyra ellipsospora (Chlorophyta) using ISSR and rbcL marker, Saudi J. Biol. Sci., Volume 21 (2014), pp. 505-510

[10] S. Nyati; S. Werth; R. Honegger Genetic diversity of sterile cultured Trebouxia photobionts associated with the lichen-forming fungus Xanthoria parietina visualized with RAPD-PCR fingerprinting techniques, Lichenologist, Volume 45 (2013) no. 6, pp. 825-840

[11] P.S. Dyer; G.J. Murtagh Variation in ribosomal its sequence of lichens Buellia firigida and Xanhtoria elegans from Vestfold hills, Eastern Antarctica, Lichenologist, Volume 33 (2001) no. 2, pp. 151-159

[12] A. Sahasrabudhe; M. Deodhar Standardization of DNA extraction and optimization of RAPD-PCR conditions in Garcinia indica, Int. J. Bot., Volume 6 (2010) no. 3, pp. 293-298

[13] T.H. Nash Lichens Biology, Chapter I, Cambridge University Press, Oxford, 1996

[14] L. Lindblom; S. Ekman RAPDs distinguish the lichens Xanthoria aureola and X. parietina in a mixed seashore rock population, Nova Hedwigia, Volume 94 (2012) no. 3–4, pp. 279-285

[15] J. Geml; F. Kauff; C. Brochmann; D.L. Taylor Surviving climate changes: high genetic diversity and transoceanic gene flow in two arctic–alpine lichens, Flavocetraria cucullata and F. nivalis (Parmeliaceae, Ascomycota), J. Biogeogr., Volume 37 (2010), pp. 1529-1542

[16] L. Lindblom; S. Ekman Genetic variation and population differentiation in the lichen-forming Ascomycete Xanthoria Parietina on the Island Storfosna, Central Norway, Mol. Ecol., Volume 15 (2006), pp. 1545-1559

[17] R. Honegger; U. Zippler; S. Scherrer; P.S. Dyer Genetic diversity in Xanthoria parietina (L.) Th. Fr. (lichen-forming ascomycete) from worldwide locations, Lichenologist, Volume 36 (2004) no. 6, pp. 381-390

[18] J.G.K. Williams; A.R. Kubelik; K.J. Livak; J.A. Rafalski; S.V. Tingey DNA polymorphisms amplified by arbitrary primers are useful as genetic markers, Nucleic Acids Res., Volume 18 (1990), pp. 6531-6535

[19] P. Jaccard Nouvelles recherches sur la distribution florale, Bull. Soc. Vaud. Nat., Volume 44 (1908), pp. 223-270

[20] L. Lindblom; S. Ekman Molecular evidence supports the distinction between Xanthoria parietina and X. aureola (Teloschistaceae, lichenized Ascomycota), Mycol. Res., Volume 109/2 (2005), pp. 187-199

[21] B. Itten; R. Honegger Population genetics in the homothallic lichen-forming ascomycete Xanthoria parietina, Lichenologist, Volume 42 (2010) no. 6, pp. 751-761


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