Herptile gut microbiomes: a natural system to study multi-kingdom interactions between filamentous fungi and bacteria
暂无分享,去创建一个
Javier F. Tabima | J. Stajich | J. Spatafora | D. Walker | K. McPhail | George F. Neuhaus | M. Ghotbi | Alexander S. Romer | Kylie C. Moe | Lluvia Vargas-Gastélum | N. Alexander | L. Shadmani
[1] Meng Li,et al. Microbial active functional modules derived from network analysis and metabolic interactions decipher the complex microbiome assembly in mangrove sediments , 2022, Microbiome.
[2] L. Parfrey,et al. Effects of captivity and rewilding on amphibian skin microbiomes , 2022, Biological Conservation.
[3] D. Walker,et al. Host microbiome responses to the Snake Fungal Disease pathogen (Ophidiomyces ophidiicola) are driven by changes in microbial richness , 2022, Scientific reports.
[4] J. Baumbach,et al. Network analysis methods for studying microbial communities: A mini review , 2021, Computational and structural biotechnology journal.
[5] Cédric Arisdakessian,et al. The amphibian microbiome exhibits poor resilience following pathogen-induced disturbance , 2021, The ISME Journal.
[6] Elizabeth A. Grice,et al. The skin microbiome , 2020, Nature.
[7] Pieter C. Dorrestein,et al. Database-independent molecular formula annotation using Gibbs sampling through ZODIAC , 2020, Nature Machine Intelligence.
[8] Obed Hernández-Gómez. Climate change disturbs wildlife microbiomes , 2020, Nature Climate Change.
[9] A. Salamov,et al. Genome-scale phylogenetic analyses confirm Olpidium as the closest living zoosporic fungus to the non-flagellated, terrestrial fungi , 2020, Scientific Reports.
[10] Justin J. J. van der Hooft,et al. NPClassifier: A Deep Neural Network-Based Structural Classification Tool for Natural Products , 2020, Journal of natural products.
[11] E. Dumonteil,et al. Interactions among Triatoma sanguisuga blood feeding sources, gut microbiota and Trypanosoma cruzi diversity in southern Louisiana , 2020, Molecular ecology.
[12] Fenglin Hu,et al. Basidiosins A and B: Cyclopentapeptides from the entomophthoralean fungus Basidiobolus meristosporus. , 2020, Fitoterapia.
[13] K. Kohl,et al. Gut microbiota of invasive bullfrog tadpoles responds more rapidly to temperature than a noninvasive congener , 2020, Molecular ecology.
[14] Javier F. Tabima,et al. Phylogenomic Analyses of Non-Dikarya Fungi Supports Horizontal Gene Transfer Driving Diversification of Secondary Metabolism in the Amphibian Gastrointestinal Symbiont, Basidiobolus , 2020, bioRxiv.
[15] R. Siddiqui,et al. Antibacterial Activities of Selected Pure Compounds Isolated from Gut Bacteria of Animals Living in Polluted Environments , 2020, Antibiotics.
[16] Andrew H. Moeller,et al. The Effects of Temperature on Animal Gut Microbiomes , 2020, Frontiers in Microbiology.
[17] Lifeng Zhu,et al. The Changes in the Frog Gut Microbiome and Its Putative Oxygen-Related Phenotypes Accompanying the Development of Gastrointestinal Complexity and Dietary Shift , 2020, Frontiers in Microbiology.
[18] Yendi E. Navarro-Noya,et al. Dietary effects on gut microbiota of the mesquite lizard Sceloporus grammicus (Wiegmann, 1828) across different altitudes , 2020, Microbiome.
[19] M. W. McCoy,et al. Variation in the Slimy Salamander (Plethodon spp.) Skin and Gut-Microbial Assemblages Is Explained by Geographic Distance and Host Affinity , 2019, Microbial Ecology.
[20] R. Siddiqui,et al. Gut bacteria of Cuora amboinensis (turtle) produce broad-spectrum antibacterial molecules , 2019, Scientific Reports.
[21] Simon Rogers,et al. Feature-Based Molecular Networking in the GNPS Analysis Environment , 2019, Nature Methods.
[22] R. Siddiqui,et al. Gut Bacteria of Water Monitor Lizard (Varanus salvator) Are a Potential Source of Antibacterial Compound(s) , 2019, Antibiotics.
[23] J. Stajich,et al. Horizontal Gene Transfer as an Indispensable Driver for Evolution of Neocallimastigomycota into a Distinct Gut-Dwelling Fungal Lineage , 2019, Applied and Environmental Microbiology.
[24] S. Böcker,et al. SIRIUS 4: a rapid tool for turning tandem mass spectra into metabolite structure information , 2019, Nature Methods.
[25] William A. Walters,et al. Host diet and evolutionary history explain different aspects of gut microbiome diversity among vertebrate clades , 2018, Nature Communications.
[26] R. Henrik Nilsson,et al. The UNITE database for molecular identification of fungi: handling dark taxa and parallel taxonomic classifications , 2018, Nucleic Acids Res..
[27] M. Vences,et al. Prodigiosin, Violacein, and Volatile Organic Compounds Produced by Widespread Cutaneous Bacteria of Amphibians Can Inhibit Two Batrachochytrium Fungal Pathogens , 2018, Microbial Ecology.
[28] Rasmus Hansen Kirkegaard,et al. ampvis2: an R package to analyse and visualise 16S rRNA amplicon data , 2018, bioRxiv.
[29] E. Borenstein,et al. The Skin Microbiome of the Neotropical Frog Craugastor fitzingeri: Inferring Potential Bacterial-Host-Pathogen Interactions From Metagenomic Data , 2018, Front. Microbiol..
[30] D. Relman,et al. Simple statistical identification and removal of contaminant sequences in marker-gene and metagenomics data , 2017, Microbiome.
[31] Brian Bushnell,et al. BBMerge – Accurate paired shotgun read merging via overlap , 2017, PloS one.
[32] J. Rohr,et al. Early-Life Diet Affects Host Microbiota and Later-Life Defenses Against Parasites in Frogs. , 2017, Integrative and comparative biology.
[33] Kazutaka Katoh,et al. MAFFT online service: multiple sequence alignment, interactive sequence choice and visualization , 2017, Briefings Bioinform..
[34] H. Hallen-Adams,et al. Fungi in the healthy human gastrointestinal tract , 2017, Virulence.
[35] Sebastian Steinfartz,et al. Amphibian gut microbiota shifts differentially in community structure but converges on habitat-specific predicted functions , 2016, Nature Communications.
[36] Evan Bolton,et al. ClassyFire: automated chemical classification with a comprehensive, computable taxonomy , 2016, Journal of Cheminformatics.
[37] Ben Nichols,et al. Distributed under Creative Commons Cc-by 4.0 Vsearch: a Versatile Open Source Tool for Metagenomics , 2022 .
[38] Kristian Fog Nielsen,et al. Sharing and community curation of mass spectrometry data with Global Natural Products Social Molecular Networking , 2016, Nature Biotechnology.
[39] Paul J. McMurdie,et al. DADA2: High resolution sample inference from Illumina amplicon data , 2016, Nature Methods.
[40] F. Rovero,et al. Habitat fragmentation is associated to gut microbiota diversity of an endangered primate: implications for conservation , 2015, Scientific Reports.
[41] Huixin Li,et al. Aggregate-related changes in network patterns of nematodes and ammonia oxidizers in an acidic soil , 2015 .
[42] M. Tseng,et al. Analysis of Dermal Papilla Cell Interactome Using STRING Database to Profile the ex Vivo Hair Growth Inhibition Effect of a Vinca Alkaloid Drug, Colchicine , 2015, International journal of molecular sciences.
[43] C. Briggs,et al. The pathogen Batrachochytrium dendrobatidis disturbs the frog skin microbiome during a natural epidemic and experimental infection , 2014, Proceedings of the National Academy of Sciences.
[44] J. Edwards,et al. Anaerobic fungi (phylum Neocallimastigomycota): advances in understanding their taxonomy, life cycle, ecology, role and biotechnological potential. , 2014, FEMS microbiology ecology.
[45] Christian L. Müller,et al. Sparse and Compositionally Robust Inference of Microbial Ecological Networks , 2014, PLoS Comput. Biol..
[46] Alexandros Stamatakis,et al. RAxML version 8: a tool for phylogenetic analysis and post-analysis of large phylogenies , 2014, Bioinform..
[47] Marti J. Anderson,et al. PERMANOVA, ANOSIM, and the Mantel test in the face of heterogeneous dispersions: What null hypothesis are you testing? , 2013 .
[48] R. Elsey,et al. The alligator gut microbiome and implications for archosaur symbioses , 2013, Scientific Reports.
[49] Alexandros Stamatakis,et al. Novel Parallelization Schemes for Large-Scale Likelihood-based Phylogenetic Inference , 2013, 2013 IEEE 27th International Symposium on Parallel and Distributed Processing.
[50] Susan Holmes,et al. phyloseq: An R Package for Reproducible Interactive Analysis and Graphics of Microbiome Census Data , 2013, PloS one.
[51] K. Nelson,et al. Habitat degradation impacts black howler monkey (Alouatta pigra) gastrointestinal microbiomes , 2013, The ISME Journal.
[52] Pelin Yilmaz,et al. The SILVA ribosomal RNA gene database project: improved data processing and web-based tools , 2012, Nucleic Acids Res..
[53] R. Mackie,et al. Phylogenetic analysis of the fecal microbial community in herbivorous land and marine iguanas of the Galápagos Islands using 16S rRNA-based pyrosequencing , 2011, The ISME Journal.
[54] Marcel Martin. Cutadapt removes adapter sequences from high-throughput sequencing reads , 2011 .
[55] R. Knight,et al. Postprandial remodeling of the gut microbiota in Burmese pythons , 2010, The ISME Journal.
[56] J. S. Kotiaho,et al. Quantifying the Indicator Power of an Indicator Species , 2009, Conservation biology : the journal of the Society for Conservation Biology.
[57] C. Deming,et al. Topographical and Temporal Diversity of the Human Skin Microbiome , 2009, Science.
[58] M. Newman,et al. Finding community structure in very large networks. , 2004, Physical review. E, Statistical, nonlinear, and soft matter physics.
[59] M. Wikelski,et al. Biochemical and Microbiological Evidence for Fermentative Digestion in Free‐Living Land Iguanas (Conolophus pallidus) and Marine Iguanas (Amblyrhynchus cristatus) on the Galápagos Archipelago , 2004, Physiological and Biochemical Zoology.
[60] P. Dixon. VEGAN, a package of R functions for community ecology , 2003 .
[61] P. Shannon,et al. Cytoscape: A Software Environment for Integrated Models of Biomolecular Interaction Networks , 2003 .
[62] T. McDowell,et al. An epizootic of cutaneous zygomycosis in cultured dwarf African clawed frogs (Hymenochirus curtipes) due to Basidiobolus ranarum. , 1991, Journal of medical and veterinary mycology : bi-monthly publication of the International Society for Human and Animal Mycology.
[63] W. Shipton,et al. Growth and sporulation responses of Basidiobolus to changes in environmental parameters , 1988 .
[64] D. Tills. The Distribution of the Fungus, Basidiobolus ranarum Eidam, in Fish, Amphibians and Reptiles of the Southern Appalachian Region , 1977 .
[65] C. Orpin,et al. Studies on the rumen flagellate Neocallimastix frontalis. , 1975, Journal of general microbiology.
[66] M. Nickerson,et al. The distribution of the fungus Basidiobolus ranarum Eidam in fish, amphibians and reptiles. , 1971 .
[67] M. Nickerson,et al. Comments on the distribution of Basidiobolus ranarum. , 1970, Mycologia.
[68] C. Drechsler. Widespread Distribution of Delacroixia coronata and other Saprophytic Entomophthoraceae in Plant Detritus. , 1952, Science.
[69] R. Riddell. Permanent stained mycological preparations obtained by slide culture. , 1950 .
[70] Michael W Taylor,et al. The microbiome in threatened species conservation , 2019, Biological Conservation.
[71] Vuillemin,et al. Methods Used by Dr. R. K. Benjamin, and Other Mycologists, to Isolate Zygomycetes , 2017 .
[72] R. M. Stumpfa,et al. Microbiomes , metagenomics , and primate conservation : New strategies , tools , and applications , 2016 .
[73] Gábor Csárdi,et al. The igraph software package for complex network research , 2006 .
[74] T. White. Amplification and direct sequencing of fungal ribosomal RNA genes for phylogenetics , 1990 .
[75] E. Dei Cas,et al. Parasitic adaptation of pathogenic fungi to mammalian hosts. , 1986, Critical reviews in microbiology.
[76] J. Okafor,et al. A Basidiobolus sp. and its association with reptiles and amphibians in southern Florida. , 1984, Sabouraudia.