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A Robust Phylogenomic Time Tree for Biotechnologically and Medically Important Fungi in the Genera Aspergillus and Penicillium

dc.contributor.authorSteenwyk, Jacob L
dc.contributor.authorShen, Xing-Xing
dc.contributor.authorLind, Abigail L.
dc.contributor.authorGoldman, Gustavo H.
dc.contributor.authorRokas, Antonis
dc.date.accessioned2020-07-16T23:11:52Z
dc.date.available2020-07-16T23:11:52Z
dc.date.issued2019-07
dc.identifier.citationSteenwyk, J. L., Shen, X. X., Lind, A. L., Goldman, G. H., & Rokas, A. (2019). A Robust Phylogenomic Time Tree for Biotechnologically and Medically Important Fungi in the Genera Aspergillus and Penicillium. mBio, 10(4), e00925-19. https://doi.org/10.1128/mBio.00925-19en_US
dc.identifier.issn2150-7511
dc.identifier.urihttp://hdl.handle.net/1803/10217
dc.description.abstractThe filamentous fungal family Aspergillaceae contains >1,000 known species, mostly in the genera Aspergillus and Penicillium. Several species are used in the food, biotechnology, and drug industries (e.g., Aspergillus oryzae and Penicillium camemberti), while others are dangerous human and plant pathogens (e.g., Aspergitllus fumigatus and Penicillium digitatum). To infer a robust phylogeny and pinpoint poorly resolved branches and their likely underlying contributors, we used 81 genomes spanning the diversity of Aspergillus and Penicillium to construct a 1,668-gene data matrix. Phylogenies of the nucleotide and amino acid versions of this full data matrix as well as of several additional data matrices were generated using three different maximum likelihood schemes (i.e., gene-partitioned, unpartitioned, and coalescence) and using both site-homogenous and site-heterogeneous models (total of 64 species-level phylogenies). Examination of the topological agreement among these phylogenies and measures of internode certainty identified 11/78 (14.1%) bipartitions that were incongruent and pinpointed the likely underlying contributing factors, which included incomplete lineage sorting, hidden paralogy, hybridization or introgression, and reconstruction artifacts associated with poor taxon sampling. Relaxed molecular clock analyses suggest that Aspergillaceae likely originated in the lower Cretaceous and that the Aspergillus and Penicillium genera originated in the upper Cretaceous. Our results shed light on the ongoing debate on Aspergillus systematics and taxonomy and provide a robust evolutionary and temporal framework for comparative genomic analyses in Aspergillaceae. More broadly, our approach provides a general template for phylogenomic identification of resolved and contentious branches in densely genome-sequenced lineages across the tree of life. IMPORTANCE Understanding the evolution of traits across technologically and medically significant fungi requires a robust phylogeny. Even though species in the Aspergillus and Penicillium genera (family Aspergillaceae, class Eurotiomycetes) are some of the most significant technologically and medically relevant fungi, we still lack a genome-scale phylogeny of the lineage or knowledge of the parts of the phylogeny that exhibit conflict among analyses. Here, we used a phylogenomic approach to infer evolutionary relationships among 81 genomes that span the diversity of Aspergillus and Penicillium species, to identify conflicts in the phylogeny, and to determine the likely underlying factors of the observed conflicts. Using a data matrix comprised of 1,668 genes, we found that while most branches of the phylogeny of the Aspergillaceae are robustly supported and recovered irrespective of method of analysis, a few exhibit various degrees of conflict among our analyses. Further examination of the observed conflict revealed that it largely stems from incomplete lineage sorting and hybridization or introgression. Our analyses provide a robust and comprehensive evolutionary genomic roadmap for this important lineage, which will facilitate the examination of the diverse technologically and medically relevant traits of these fungi in an evolutionary context.en_US
dc.description.sponsorshipThis work was conducted, in part, using the Advanced Computing Center for Research and Education at Vanderbilt University. J.L.S. was supported by the Graduate Program in Biological Sciences at Vanderbilt University. This work was supported, in part, by the National Science Foundation (DEB-1442113 to A.R.), the Burroughs Wellcome Fund, and a Guggenheim fellowship (to A.R.).en_US
dc.language.isoen_USen_US
dc.publisherMBIOen_US
dc.rightsCopyright © 2019 Steenwyk et al. This is an open-access article distributed under the terms of the Creative Commons Attribution 4.0 International license.
dc.source.urihttps://www.ncbi.nlm.nih.gov/pmc/articles/PMC6747717/
dc.subjectAscomycotaen_US
dc.subjectEurotialesen_US
dc.subjectEurotiomycetesen_US
dc.subjectgenomicsen_US
dc.subjectincongruenceen_US
dc.subjectInternational Code of Nomenclatureen_US
dc.subjectnarrow Aspergillusen_US
dc.subjectphylogeneticsen_US
dc.subjectphylogenomicsen_US
dc.subjectsecondary metabolismen_US
dc.titleA Robust Phylogenomic Time Tree for Biotechnologically and Medically Important Fungi in the Genera Aspergillus and Penicilliumen_US
dc.typeArticleen_US
dc.identifier.doi10.1128/mBio.00925-19


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