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M. Carmen Molina

Researcher at King Juan Carlos University

Publications -  25
Citations -  1309

M. Carmen Molina is an academic researcher from King Juan Carlos University. The author has contributed to research in topics: Parmeliaceae & Monophyly. The author has an hindex of 18, co-authored 25 publications receiving 1198 citations. Previous affiliations of M. Carmen Molina include Swedish Museum of Natural History.

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Phylogenetic generic classification of parmelioid lichens (Parmeliaceae, Ascomycota) based on molecular, morphological and chemical evidence

TL;DR: An overview of current knowledge of the major clades of all parmelioid lichens is given and 27 genera within nine main clades are accepted, including 31 of 33 currently accepted parMelioid genera (and 63 of 84 accepted genera of Parmeliaceae).
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Effect of different non-ionic surfactants on the biodegradation of PAHs by diverse aerobic bacteria

TL;DR: Experiments performed with Tween-80 showed the highest cell density values and maximum specific growth rate and control experiments performed without surfactant showed a significant decrease in biomass growth rate with a subsequent loss of biodegradation activity likely due to a reduced solubility and bioavailability of PAHs in absence of surfactants.
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Evolution of complex symbiotic relationships in a morphologically derived family of lichen-forming fungi

Pradeep K. Divakar, +60 more
- 01 Dec 2015 - 
TL;DR: The phylogenetic hypothesis supports the independent origin of lichenicolous fungi associated with climatic shifts at the Oligocene-Miocene boundary and provides novel insight into evolutionary relationships in this large and diverse family of Lichen-forming ascomycetes.
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Genetic distances within and among species in monophyletic lineages of Parmeliaceae (Ascomycota) as a tool for taxon delimitation.

TL;DR: Intra- and interspecific distances derived from maximum-likelihood phylogenetic trees inferred from 491 nuclear ITS rDNA sequences were examined for five major clades of parmelioid lichens and the analysis of the distance distributions is shown to be a powerful tool for identifying species complexes.
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Isolation and genetic identification of PAH degrading bacteria from a microbial consortium

TL;DR: The present work shows the potential use of these microorganisms and the total consortium for the bioremediation of PAH polluted areas since the biodegradation of these chemicals takes place along with a significant decrease in toxicity.