Ramírez Nasto, Lucía
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Ramírez Nasto
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Lucía
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Agronomía, Biotecnología y Alimentación
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IMAB. Research Institute for Multidisciplinary Applied Biology
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Publication Open Access Comparative genomics of Coniophora olivacea reveals different patterns of genome expansion in Boletales(BioMed Central, 2017) Castanera Andrés, Raúl; Pérez Garrido, María Gumersinda; López Varas, Leticia; Amselem, Joëlle; LaButti, Kurt; Singan, Vasanth; Lipzen, Anna; Haridas, Sajeet; Barry, Kerrie; Grigoriev, Igor V.; Pisabarro de Lucas, Gerardo; Ramírez Nasto, Lucía; Producción Agraria; Nekazaritza Ekoizpena; Universidad Pública de Navarra / Nafarroako Unibertsitate PublikoaBackground: Coniophora olivacea is a basidiomycete fungus belonging to the order Boletales that produces brown-rot decay on dead wood of conifers. The Boletales order comprises a diverse group of species including saprotrophs and ectomycorrhizal fungi that show important differences in genome size. Results: In this study we report the 39.07-megabase (Mb) draft genome assembly and annotation of C. olivacea. A total of 14,928 genes were annotated, including 470 putatively secreted proteins enriched in functions involved in lignocellulose degradation. Using similarity clustering and protein structure prediction we identified a new family of 10 putative lytic polysaccharide monooxygenase genes. This family is conserved in basidiomycota and lacks of previous functional annotation. Further analyses showed that C. olivacea has a low repetitive genome, with 2.91% of repeats and a restrained content of transposable elements (TEs). The annotation of TEs in four related Boletales yielded important differences in repeat content, ranging from 3.94 to 41.17% of the genome size. The distribution of insertion ages of LTRretrotransposons showed that differential expansions of these repetitive elements have shaped the genome architecture of Boletales over the last 60 million years. Conclusions: Coniophora olivacea has a small, compact genome that shows macrosynteny with Coniophora puteana. The functional annotation revealed the enzymatic signature of a canonical brown-rot. The annotation and comparative genomics of transposable elements uncovered their particular contraction in the Coniophora genera, highlighting their role in the differential genome expansions found in Boletales species.Publication Open Access 101 Dothideomycetes genomes: a test case for predicting lifestyles and emergence of pathogens(Westerdijk Fungal Biodiversity Institute, 2020) Haridas, Sajeet; Castanera Andrés, Raúl; Culley, D. E.; Daum, C.; Ramírez Nasto, Lucía; Alfaro Sánchez, Manuel; Institute for Multidisciplinary Research in Applied Biology - IMABDothideomycetes is the largest class of kingdom Fungi and comprises an incredible diversity of lifestyles, many of which have evolved multiple times. Plant pathogens represent a major ecological niche of the class Dothideomycetes and they are known to infect most major food crops and feedstocks for biomass and biofuel production. Studying the ecology and evolution of Dothideomycetes has significant implications for our fundamental understanding of fungal evolution, their adaptation to stress and host specificity, and practical implications with regard to the effects of climate change and on the food, feed, and livestock elements of the agro-economy. In this study, we present the first large-scale, whole-genome comparison of 101 Dothideomycetes introducing 55 newly sequenced species. The availability of whole-genome data produced a high-confidence phylogeny leading to reclassification of 25 organisms, provided a clearer picture of the relationships among the various families, and indicated that pathogenicity evolved multiple times within this class. We also identified gene family expansions and contractions across the Dothideomycetes phylogeny linked to ecological niches providing insights into genome evolution and adaptation across this group. Using machine-learning methods we classified fungi into lifestyle classes with >95 % accuracy and identified a small number of gene families that positively correlated with these distinctions. This can become a valuable tool for genome-based prediction of species lifestyle, especially for rarely seen and poorly studied species.