04010nam a2200217   4500001000700000090001100007100004100018101000800059200013300067210002800200215002000228300038300248330288900631606003003520606003003550606003503580606001603615700003503631955001103666995011503677390953  a390953  a20120522d2010       y0pory50      ba  aeng  aExploring soil bacterial communities for forensic applicationsbRecurso eletrónicoea genomics approachfBo U. Pietraszkiewicz  a[S.l.]ced. do a.d2010  a1 CD-ROMd12 cm  aDissertation submitted in partial fulfillment of the requirements for the Degree ofDoctor of Philosophy at the University of Connecticut - 2010. Report funded by the U.S. Department of Justice - Award ner. 2009-IJ-CX-0021. Ficheiro de 3,13 MB em formato PDF (186 p.). Disponível também em: https://www.ncjrs.gov/pdffiles1/nij/grants/237984.pdf. Acedido a 22 de maio de 2012.  aApproval page. Acknowledgements. Table of contents. List of figures. List of tables. Chapter 1 – Introduction to the forensic analysis of soils. I. Nonhuman DNA evidence in forensic science. II. The progression of soil analysis methods. III. Molecular methods for the DNA typing of soil. IV. Research synopsis. Chapter 2 – Assessing the potential of a novel forensic soil analysis method. I. Introduction. II. Results. a. Design of sample collection. b. Validation of C-RFLP method. c. Grid collection. d. Assessment of C-RFLP in soil individualization. e. Comparison to T-RFLP analysis. f. Exploring major and minor T-RFLP peak variation. g. Impact of time on bacterial populations in soil. h. Impact of meteorological events on bacterial populations in soil. III. Discussion and conclusions. Chapter 3 – Using next generation sequencing to survey bacterial communities in soil. I. Introduction. II. Results. a. Design of soil library sets. b. Measuring species diversity. c. Taxonomic classification of bacteria in soil. d. Bacterial community structure in diverse habitats. e. Bacterial community structure in maintained lawns. f. Bacterial community fluctuation from year-to-year. g. Bacterial community fluctuation after meteorological events. h. Presumed biological replicate soils. III. Discussion and conclusions. Chapter 4 – Exploring the potential for group-specific DNA typing for forensic soil analysis. I. Introduction. II. Results. a. Development of group-specific assays. b. Establishment of group-specific match criteria. c. Evaluation of samples using group-specific assays. d. Year-to-year sampling. e. Meteorological event sampling. f. Peak identification using HPLC fragment collection. III. Discussion and conclusions. Chapter 5 – Thesis synopsis and future directions. I. Synopsis. II. The future of forensic soil analysis. Chapter 6 – Materials and methods. I. Nucleic acid extraction and quantitation from soil. II. Preparation of amplicons for T-RFLP and C-RFLP universal bacterial typing. III. Restriction enzyme digestion. IV. Separation and detection of DNA fragments using C-RFLP. V. Separation and detection of DNA fragments using T-RFLP. VI. 454 GS FLX amplicon pyrosequencing – Standard Chemistry Preparation. VII. 454 GS FLX amplicon pyrosequencing – Titanium Chemistry Preparation. VIII. Preparation of amplicons for group-specific C-RFLP analysis. IX. Sequence identification of group-specific amplicons as separated by HPLC. a. Single peak sequencing. b. Single vial sequencing. Chapter 7 – References cited. Chapter 8 – Appendix. I. Validation data for C-RFLP analysis. II. Sequence alignment AOB group [amoA gene target]: Lawn 1. III. Sequence alignment AOB group [amoA gene target]: Lawn 9. IV. Sequence alignment Acidobaceria [16S rRNA gene target]: Lawn 1. V. Sequence alignment Acidobaceria [16S rRNA gene target]: Lawn 9.  aCIÊNCIA FORENSE9321508  aANÁLISE DO SOLO9345745  aANÁLISE LABORATORIAL9326721  aADN9243660  aPIETRASZKIEWICZbBo U.9356772  xOferta  104PJCD_200_00000000000000052022-06-066PJCD2009422817aPJcPJfPJ1CD200kPJCD200n2022-06-06o0rMOxOferta