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Plant Microbiome Paradigm / / edited by Ajit Varma, Swati Tripathi, Ram Prasad
| Plant Microbiome Paradigm / / edited by Ajit Varma, Swati Tripathi, Ram Prasad |
| Edizione | [1st ed. 2020.] |
| Pubbl/distr/stampa | Cham : , : Springer International Publishing : , : Imprint : Springer, , 2020 |
| Descrizione fisica | 1 online resource (312 pages) |
| Disciplina | 579.178 |
| Soggetto topico |
Microbiology
Microbial ecology Botany Microbial Ecology Plant Science Microbiologia Botànica |
| Soggetto genere / forma | Llibres electrònics |
| ISBN | 3-030-50395-X |
| Formato | Materiale a stampa  |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Interaction of Epiphyllic Bacteria with Plant Cuticles -- Plant Microbiome and Its Important in Stressful Agriculture -- Plant-Microbe Interactions: Applications for Plant‐Growth Promotion and In-Situ Agri-Waste Management -- Plant-Microbe-Metal Interactions: A Biochemical and Molecular Analysis for Phytoremediation -- Ecosystem Diversity as a Function of Plant and Soil-Microbe Interactions -- Plant Growth Promoting Potentials of Endophytic Fungi for the Management of Agricultural Crops and Grasses -- Biological Control of Plant Diseases: Opportunities and Limitations -- Circadian Redox Rhythms Play an Important Role in Plant-Pathogen Interaction -- Rhizospheric Microorganisms for the Remediation of Contaminants for Ecological Restoration -- The Rhizosphere Microbiome: Microbial Communities and Plant Health -- On the Possibility of Accelerating Succession by Manipulating Soil Microorganisms -- Composition and Dynamics of Microbial Communities in Fly Ash-Amended Soil -- Molecular Insight into Plant-Fungal Pathogen Interaction: Emerging Trends and Implication in Designing Climate Smart Filed Crops -- Biochemical Dynamics of Plant Microbe Interactions -- Endophytic Secondary Metabolites for Biological Control - A Latest Perspective. |
| Record Nr. | UNINA-9910416097203321 |
| Cham : , : Springer International Publishing : , : Imprint : Springer, , 2020 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Preclinical Evaluation of Antimicrobial Nanodrugs / / by Juan Bueno
| Preclinical Evaluation of Antimicrobial Nanodrugs / / by Juan Bueno |
| Autore | Bueno Juan |
| Edizione | [1st ed. 2020.] |
| Pubbl/distr/stampa | Cham : , : Springer International Publishing : , : Imprint : Springer, , 2020 |
| Descrizione fisica | 1 online resource (125 pages) |
| Disciplina | 615.792 |
| Collana | Nanotechnology in the Life Sciences |
| Soggetto topico |
Medical microbiology
Microbial genetics Microbial genomics Nanotechnology Pharmaceutical technology Plant breeding Botanical chemistry Medical Microbiology Microbial Genetics and Genomics Pharmaceutical Sciences/Technology Plant Breeding/Biotechnology Plant Biochemistry Nanotecnologia Farmacologia Microbiologia |
| Soggetto genere / forma | Llibres electrònics |
| ISBN | 3-030-43855-4 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Preface -- 1. Antimicrobial screening, foundations and interpretation -- 2. Antimicrobial activity of nanomaterials, from selection to application -- 3. Synergy and antagonism, the criteria of the formulation -- 4. In vitro Nanotoxicity, towards the development of safe and effective treatments -- 5. ADMETox, bringing nanotechnology closer to Lipinski's rule of five -- 6. Antimicrobial nanotechnology in preventing the transmission of infectious disease -- 7. Nanotechnology in the discovery of new antimicrobial drugs: is a new scientific revolution possible? -- 8. Nanotechnology beyond the antibiosis -- Index. . |
| Record Nr. | UNINA-9910409690903321 |
Bueno Juan
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| Cham : , : Springer International Publishing : , : Imprint : Springer, , 2020 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Statistical analysis of microbiome data / / Somnath Datta and Subharup Guha, editors
| Statistical analysis of microbiome data / / Somnath Datta and Subharup Guha, editors |
| Pubbl/distr/stampa | Cham, Switzerland : , : Springer, , [2021] |
| Descrizione fisica | 1 online resource (348 pages) |
| Disciplina | 579 |
| Collana | Frontiers in probability and the statistical sciences |
| Soggetto topico |
Microbiology - Statistical methods
Microbiologia Estadística matemàtica Microorganismes Genètica microbiana |
| Soggetto genere / forma | Llibres electrònics |
| ISBN | 3-030-73351-3 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto |
Intro -- Preface -- Acknowledgments -- Contents -- Part I Preprocessing and Bioinformatics Pipelines -- Denoising Methods for Inferring Microbiome Community Content and Abundance -- 1 Introduction -- 2 Common Algorithmic Denoising Strategies -- 3 Model-Based Denoising -- 3.1 Hierarchical Divisive Clustering -- 3.2 Finite Mixture Model -- 3.3 Denoising Long-Read Technology -- 4 Model Assessment -- 4.1 With Known Truth -- 4.1.1 Accuracy in ASV Identification -- 4.1.2 Accuracy in Read Assignments -- 4.2 With Unknown Truth -- 4.2.1 Assessment with UMIs -- 4.2.2 Clustering Stability -- 5 Conclusions -- References -- Statistical and Computational Methods for Analysis of Shotgun Metagenomics Sequencing Data -- 1 Introduction -- 2 Methods for Species Identification and Quantification of Microorganisms -- 3 Metagenome Assembly and Applications -- 3.1 de Bruijn Assembly of a Single Genome -- 3.2 Modification for Metagenome and Metagenome-Assembled Genomes -- 3.3 Compacted de Bruijn Graph -- 4 Estimation of Growth Rates for Metagenome-Assembled Genomes (MAGs) -- 5 Methods for Identifying Biosynthetic Gene Clusters -- 5.1 A Hidden Markov Model-Based Approach -- 5.2 A Deep Learning Approach -- 5.3 BGC Identification Based on Metagenomic Data -- 6 Future Directions -- References -- Bioinformatics Pre-Processing of Microbiome Data with An Application to Metagenomic Forensics -- 1 Introduction -- 2 Bioinformatics Pipeline -- 2.1 Microbiome Data -- 2.2 Quality Control -- 2.3 Taxonomic Profiling -- 2.3.1 MetaPhlAn2 -- 2.3.2 Kraken2 -- 2.3.3 Kaiju -- 2.4 Computing facilities -- 3 Methodology -- 3.1 Pre-Processing and Feature Selection -- 3.2 Exploration of Candidate Classifiers -- 3.3 The Ensemble Classifier -- 3.4 Class Imbalance -- 3.5 Performance Measures -- 3.6 Data Analysis -- 4 Results -- 5 Discussion -- 6 Data Acknowledgement -- 7 Code Availability.
References -- Part II Exploratory Analyses of Microbial Communities -- Statistical Methods for Pairwise Comparison of Metagenomic Samples -- 1 Introduction -- 2 Microbial Community Comparison Methods Based on OTU Abundance Data -- 3 Microbial Community Comparison Measures Based on a Phylogenetic Tree -- 3.1 The Fst Statistic and Phylogenetic Test for Comparing Communities -- 3.2 UniFrac, W-UniFrac, VAW-UniFrac, and Generalized UniFrac for Comparing Microbial Communities -- 3.3 VAW-UniFrac for Comparing Communities -- 4 Alignment-Free Methods for the Comparison of Microbial Communities -- 5 A Tutorial on the Use of UniFrac Type and Alignment-Free Dissimilarity Measures for the Comparison of Metagenomic Samples -- 5.1 Analysis Steps for UniFrac, W-UniFrac, Generalized UniFrac, and VAW-UniFrac -- 5.2 Analysis Steps for the Comparison of Microbial Communities Based on Alignment-Free Methods -- 6 Discussion -- References -- Beta Diversity and Distance-Based Analysis of Microbiome Data -- 1 Introduction -- 2 Quantifying Dissimilarity: Common Beta Diversity Metrics -- 3 Ordination and Dimension Reduction -- 3.1 Principal Coordinates Analysis -- 3.2 Double Principal Coordinate Analysis -- 3.3 Biplots -- 3.4 Accounting for Compositionality -- 3.5 Model-Based Ordination Using Latent Variables -- 4 Distance-Based Hypothesis Testing -- 4.1 Permutation Tests -- 4.2 Kernel Machine Regression Tests -- 4.3 Sum of Powered Score Tests -- 4.4 Adaptive Tests -- 4.5 Comparison of Distance-Based Tests -- 5 Strengths, Weaknesses, and Future Directions -- References -- Part III Statistical Models and Inference -- Joint Models for Repeatedly Measured Compositional and Normally Distributed Outcomes -- 1 Introduction -- 2 Motivating Data -- 3 Statistical Models -- 3.1 The Multinomial Logistic Mixed Model (MLMM) -- 3.2 Dirichlet-Multinomial Mixed Model (DMMM). 3.3 Goodness of Fit -- 4 Simulation Studies -- 4.1 Simulation Setting -- 4.2 Simulation Results -- 5 Data Analysis -- 6 Discussion -- 7 Software -- Appendix -- References -- Statistical Methods for Feature Identification in Microbiome Studies -- 1 Introduction -- 2 Differential Abundance Analysis -- 2.1 Compositional Methods -- 2.2 Count-Based Methods -- 2.3 Additional Notes -- 3 Mediation Analysis -- 4 Feature Identification Adjusting for Confounding -- 4.1 Covariate Adjustment -- 4.2 Model-Based Standardization -- 5 Summary -- References -- Statistical Methods for Analyzing Tree-Structured Microbiome Data -- 1 Introduction -- 2 Modeling Multivariate Count Data -- 2.1 Dirichlet-Multinomial Model -- 2.2 Dirichlet-Tree Multinomial Model -- 2.3 Implementation and Illustration -- 3 Estimating Microbial Compositions -- 3.1 Empirical Bayes Normalization -- 3.2 Phylogeny-Aware Normalization -- 3.3 Statistical Analysis of Compositional Data -- 3.4 Implementation and Illustration -- 4 Regression with Compositional Predictors -- 4.1 Constrained Lasso and Log-Ratio Lasso -- 4.2 Subcomposition Selection -- 4.3 Phylogeny-Aware Subcomposition Selection -- 4.4 Linear Regression and Variable Fusion -- 5 Additional References -- 6 Discussion -- References -- A Log-Linear Model for Inference on Bias in Microbiome Studies -- 1 Introduction -- 2 Methods -- 2.1 The Brooks' Data -- 2.2 Setup and Estimation -- 2.3 Inference -- 2.4 Testability of the Hypothesis -- 2.4.1 Example: Testable Hypotheses for Main Effects -- 2.4.2 Example: Testable Hypotheses for Interaction Effects -- 3 Simulations -- 3.1 Main Effect Simulation -- 3.2 Interaction Effect Simulation Based on the Brooks Data -- 4 Results -- 4.1 Simulation Results -- 4.2 Do Interactions Between Taxa Affect Bias in the Brooks' Data? -- 4.3 Plate and Sample Type Effects in the Brooks' Data -- 5 Discussion -- Appendix. References -- Part IV Bayesian Methods -- Dirichlet-Multinomial Regression Models with Bayesian Variable Selection for Microbiome Data -- 1 Introduction -- 2 Methods -- 2.1 Dirichlet-Multinomial Regression Models for Compositional Data -- 2.2 Variable Selection Priors -- 2.3 Network Priors -- 2.3.1 Unknown G -- 2.4 Dirichlet-Tree Multinomial Models -- 2.5 Posterior Inference -- 3 Simulated Data -- 3.1 Simulation Study for DM Regression Models -- 3.2 DM Sensitivity Analysis -- 3.3 Simulation Study for DTM Regression Models -- 3.4 DTM Sensitivity Analysis -- 4 Applications -- 4.1 Multi-omics Microbiome Study-Pregnancy Initiative (MOMS-PI) -- 4.2 Gut Microbiome Study -- 5 Conclusion -- References -- A Bayesian Approach to Restoring the Duality Between Principal Components of a Distance Matrix and Operational Taxonomic Units in Microbiome Analyses -- 1 Introduction -- 1.1 Motivating Datasets -- 1.2 Nonlinear or Stochastic Distances -- 1.3 Limitations of SVD-Based Approaches -- 2 A Bayesian Formulation -- 2.1 Posterior Density -- 3 Model Sum of Squares and Biplots -- 4 Posterior Inference -- 4.1 Gibbs Sampler -- 4.2 Dimension Reduction: Skinny Bayesian Technique -- 4.2.1 Subsetted Data Matrix -- 4.2.2 Lower Dimensional Parameters and Induced Posterior -- 4.2.3 Faster Inference Procedure -- 4.3 Model Parameter Estimates -- 5 Simulation Study -- 5.1 Generation Strategy -- 6 Data Analysis -- 6.1 Tobacco Data -- 6.2 Subway Data -- 7 Data Acknowledgement -- 8 Discussion -- Supplementary Materials -- Appendix -- Proof of Lemma 1 -- References -- Part V Special Topics -- Tree Variable Selection for Paired Case-Control Studies with Application to Microbiome Data -- 1 Introduction -- 2 Gini Index -- 2.1 Simulation Analysis -- 3 Multivariate Gini Index -- 3.1 Conditional Gini Index -- 4 Variable Importance -- 5 Analysis of Obesity Using Microbiome Data. 6 Discussion -- Appendix -- References -- Networks for Compositional Data -- 1 Introduction -- 2 Methods -- 2.1 Learning Networks from Marginal Associations -- 2.1.1 ReBoot -- 2.1.2 SparCC -- 2.1.3 CCLasso -- 2.1.4 COAT -- 2.2 Learning Networks from Conditional Associations -- 2.2.1 SPIEC-EASI -- 2.2.2 gCoda -- 2.2.3 SPRING -- 3 Data-Generating Models -- 3.1 Null Models -- 3.2 Copula Models -- 3.3 Logistic-Normal Model -- 4 Results -- 4.1 Spurious (Partial) Correlations -- 4.2 Performance in Network Discovery -- 4.3 Case Studies in R -- 5 Future Directions -- References -- Index. |
| Record Nr. | UNISA-996466407003316 |
| Cham, Switzerland : , : Springer, , [2021] | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. di Salerno | ||
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Trattato di microbiologia : comprese immunologia e genetica molecolare / B. D. Davis ... [et al.] ; traduzione e presentazione a cura del prof. Ferdinando Dianziani
| Trattato di microbiologia : comprese immunologia e genetica molecolare / B. D. Davis ... [et al.] ; traduzione e presentazione a cura del prof. Ferdinando Dianziani |
| Autore | Davis, Bernard D. |
| Edizione | [2. ed. italiana] |
| Pubbl/distr/stampa | Padova : Piccin Nuova Libraria, 1986 |
| Descrizione fisica | XXIV, 1515 p. : ill. ; 26 cm. |
| Soggetto topico | Microbiologia |
| ISBN | 8829905135 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | ita |
| Record Nr. | UNISALENTO-991001628949707536 |
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Davis, Bernard D.
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| Padova : Piccin Nuova Libraria, 1986 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. del Salento | ||
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Trichoderma : Host Pathogen Interactions and Applications / / edited by Anil K. Sharma, Pratibha Sharma
| Trichoderma : Host Pathogen Interactions and Applications / / edited by Anil K. Sharma, Pratibha Sharma |
| Edizione | [1st ed. 2020.] |
| Pubbl/distr/stampa | Singapore : , : Springer Singapore : , : Imprint : Springer, , 2020 |
| Descrizione fisica | 1 online resource (331 pages) |
| Disciplina | 579.5677 |
| Collana | Rhizosphere Biology |
| Soggetto topico |
Mycology
Microbiology Plant diseases Biomedical engineering Microbial ecology Plant Pathology Biomedical Engineering/Biotechnology Microbial Ecology Micologia Microbiologia Enzimologia |
| Soggetto genere / forma | Llibres electrònics |
| ISBN | 981-15-3321-0 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Chapter 1. Can we define an experimental framework to approach the genetic basis of root colonization? -- Chapter 2. The Vocabulary of Trichoderma-plant interactions -- Chapter 3. Could Trichoderma be a plant pathogen? Successful root colonization -- Chapter 4. Harnessing the perception of Trichoderma signal molecules in rhizosphere to improve soil health and plant health -- Chapter 5. Plant immunity priming and systemic resistance as a mechanism for Trichoderma spp. Biocontrol -- Chapter 6. Systemically induced resistance against maize diseases by Trichoderma app -- Chapter 7. Induced immunity developed by Trichoderma species in plants -- Chapter 8. Host-Pathogen-Trichoderma Interaction -- Chapter 9. Trichoderma–Fusarium Interactions: A Bio-Control Strategy to Manage Wilt -- Chapter 10. Use of Trichoderma in management of diseases in North American row crops -- Chapter 11. Potential of Trichoderma spp. for Pest management and Plant Growth Promotion in NE India -- Chapter 12. Deployment of Trichoderma for the management of tea diseases -- Chapter 13. Multipartite interaction of Trichoderma harzianum (MTCC 5179) an endophyte and a growth promoter of black pepper (Piper nigrum L.) -- Chapter 14. Trichoderma spp. in consortium and their rhizospheric interactions -- Chapter 15. Trichoderma interactions in vegetables rhizosphere under tropical weather conditions. . |
| Record Nr. | UNINA-9910409682403321 |
| Singapore : , : Springer Singapore : , : Imprint : Springer, , 2020 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Vol. 1 : Microbiologia generale / Brock ; [a cura di] Michael T. Madigan, John M. Martinko ; edizione italiana a cura di Bianca Colonna, Milena Grossi
| Vol. 1 : Microbiologia generale / Brock ; [a cura di] Michael T. Madigan, John M. Martinko ; edizione italiana a cura di Bianca Colonna, Milena Grossi |
| Autore | BROCK, Thomas D. |
| Pubbl/distr/stampa | Milano : CEA, copyr. 2007 |
| Descrizione fisica | 479 p. : ill. ; 29 cm |
| Disciplina | 579 |
| Soggetto topico | Microbiologia |
| ISBN | 978-88-408-1375-2 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | ita |
| Record Nr. | UNISA-990003190630203316 |
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BROCK, Thomas D.
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| Milano : CEA, copyr. 2007 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. di Salerno | ||
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Vol. 2 B: Microbiologia biomedica / Brock ; [a cura di] Michael T. Madigan, John M. Martinko ; edizione italiana a cura di Giorgio Gribaudo
| Vol. 2 B: Microbiologia biomedica / Brock ; [a cura di] Michael T. Madigan, John M. Martinko ; edizione italiana a cura di Giorgio Gribaudo |
| Autore | BROCK, Thomas D. |
| Pubbl/distr/stampa | Milano : CEA, copyr. 2007 |
| Descrizione fisica | XII, 256 p. : ill. ; 29 cm |
| Disciplina | 579 |
| Soggetto topico | Microbiologia |
| ISBN | 978-88-408-1406-3 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | ita |
| Record Nr. | UNISA-990003190660203316 |
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BROCK, Thomas D.
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| Milano : CEA, copyr. 2007 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. di Salerno | ||
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Vol. 2A : Microbiologia ambientale e industriale / Brock ; [a cura di] Michael T. Madigan, John M. Martinko ; edizione italiana a cura di Davide Zannoni
| Vol. 2A : Microbiologia ambientale e industriale / Brock ; [a cura di] Michael T. Madigan, John M. Martinko ; edizione italiana a cura di Davide Zannoni |
| Autore | BROCK, Thomas D. |
| Pubbl/distr/stampa | Milano : CEA, copyr. 2007 |
| Descrizione fisica | XI, 352 p. : ill. ; 29 cm |
| Disciplina | 579 |
| Soggetto topico | Microbiologia |
| ISBN | 978-88-408-1405-6 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | ita |
| Record Nr. | UNISA-990003190650203316 |
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BROCK, Thomas D.
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| Milano : CEA, copyr. 2007 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. di Salerno | ||
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volume 1.: Microbiologia generale / Prescott, Harley, Klein ; Joanne M. Willey, Linda M. Sherwood, Cristopher J. Woolverton (eds.) ; edizione italiana a cura di Patrizia Ghelardini, Luciano Paolozzi
| volume 1.: Microbiologia generale / Prescott, Harley, Klein ; Joanne M. Willey, Linda M. Sherwood, Cristopher J. Woolverton (eds.) ; edizione italiana a cura di Patrizia Ghelardini, Luciano Paolozzi |
| Autore | PRESCOTT, Lansing M. |
| Pubbl/distr/stampa | Milano : McGraw-Hill, copyr. 2009 |
| Descrizione fisica | XX, 357 p. : ill. ; 28 cm |
| Disciplina | 579 |
| Altri autori (Persone) |
HARLEY, Joanne
KLEIN, Donald A. |
| Collana | Web site |
| Soggetto topico | Microbiologia |
| ISBN | 978-88-386-6590-5 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | ita |
| Record Nr. | UNISA-990005992190203316 |
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PRESCOTT, Lansing M.
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| Milano : McGraw-Hill, copyr. 2009 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. di Salerno | ||
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World journal of microbiology & biotechnology
| World journal of microbiology & biotechnology |
| Pubbl/distr/stampa | [Oxford], : Rapid Science Publishers |
| Descrizione fisica | 1 online resource |
| Disciplina | 660.6205 |
| Soggetto topico |
Industrial microbiology
Microbial biotechnology Microbiologie industrielle Biotechnologie microbienne Microbiologia Biotecnologia |
| Soggetto genere / forma |
Periodicals.
Revistes electròniques. |
| ISSN | 1573-0972 |
| Formato | Materiale a stampa |
| Livello bibliografico | Periodico |
| Lingua di pubblicazione | eng |
| Altri titoli varianti | World journal of microbiology and biotechnology |
| Record Nr. | UNINA-9910142556603321 |
| [Oxford], : Rapid Science Publishers | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Soggetto topico
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Microbiologia
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- Microbiologie (23)
- microbiology (17)
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