2018
DOI: 10.3389/fmicb.2018.01392
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Antarctic Cryptoendolithic Fungal Communities Are Highly Adapted and Dominated by Lecanoromycetes and Dothideomycetes

Abstract: Endolithic growth is one of the most spectacular microbial adaptations to extreme environmental constraints and the predominant life-form in the ice-free areas of Continental Antarctica. Although Antarctic endolithic microbial communities are known to host among the most resistant and extreme-adapted organisms, our knowledge on microbial diversity and composition in this peculiar niche is still limited. In this study, we investigated the diversity and structure of the fungal assemblage in the cryptoendolithic … Show more

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Cited by 55 publications
(86 citation statements)
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“…Biodiversity analysis of species richness (from 50 to 287) and Shannon's index (ranging from 1.1 to 4.24) (Table 1) confirmed that Antarctic microbial endolithic communities harbour relatively low diversity (see also Archer et al, 2017;Selbmann et al, 2017;Coleine et al, 2018a), compared with temperate microbial biotopes, which typically have values of Shannon's index between 6 and 7 (Dunbar et al, 2000). The β diversity across the 14 sampled sites was measured with a Jaccard index and the contribution of altitude and sea distance in shaping the bacterial communities was estimated using an multiplelinear regression on distance matrices analysis.…”
Section: Resultsmentioning
confidence: 79%
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“…Biodiversity analysis of species richness (from 50 to 287) and Shannon's index (ranging from 1.1 to 4.24) (Table 1) confirmed that Antarctic microbial endolithic communities harbour relatively low diversity (see also Archer et al, 2017;Selbmann et al, 2017;Coleine et al, 2018a), compared with temperate microbial biotopes, which typically have values of Shannon's index between 6 and 7 (Dunbar et al, 2000). The β diversity across the 14 sampled sites was measured with a Jaccard index and the contribution of altitude and sea distance in shaping the bacterial communities was estimated using an multiplelinear regression on distance matrices analysis.…”
Section: Resultsmentioning
confidence: 79%
“…In this study, 16S rDNA gene amplicon sequencing was used to profile bacterial composition and to test the effects on bacterial assemblages of environmental parameters (altitude and sea distance) and fungal diversity, already investigated in Coleine et al (2018a), on bacterial assemblage. 16S rDNA gene metabarcoding produced a total of 864 425 quality-filtered reads, ranging from 32 481 up to 75 174 reads per sample (Table 1).…”
Section: Resultsmentioning
confidence: 99%
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