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About the editors, xvi
List of contributors, xix
Foreword, xxii
Series preface, xxiv
Preface, xxv
1 A primer on microbiology, 1David O. Carter, Emily N. Junkins and Whitney A. Kodama
1.1 Introduction, 1
1.2 Microbial characteristics, 2
1.3 Microorganisms and their habitats, 7
1.4 Competition for resources, 10
1.5 The ecology of some forensically relevant bacteria, 11
1.6 Archaea and microbial eukaryotes, 20
1.7 Conclusions, 21
2 History, current, and future use of microorganisms as physical evidence, 25Zachary M. Burcham and Heather R. Jordan
2.1 Introduction, 25
2.2 Methods for identification, 26
2.3 Estimating PMI, 30
2.4 Cause of death, 36
2.5 Trace evidence, 40
2.6 Other medicolegal aspects, 43
2.7 Needs that must be met for use in chain of custody, 48
2.8 Summary, 49
3 Approaches and considerations for forensic microbiology decomposition research, 56M. Eric Benbow and Jennifer L. Pechal
3.1 Introduction, 56
3.2 Challenges of human remains research, 57
3.3 Human remains research during death investigations, 58
3.4 Human surrogates in research, 60
3.5 Considerations for field studies, 61
3.6 Descriptive and hypothesis?]driven research, 62
3.7 Experiment design, 65
3.8 Validation studies, 69
4 Sampling methods and data generation, 72Jennifer L. Pechal, M. Eric Benbow and Tawni L. Crippen
4.1 Introduction, 72
4.2 Materials, 73
4.3 Sample collection techniques, 79
4.4 Sample preservation, storage, and handling techniques, 80
4.5 Data considerations, 86
4.6 Conclusions, 90
5 An introduction to metagenomic data generation, analysis, visualization, and interpretation, 94Baneshwar Singh, Tawni L. Crippen and Jeffery K. Tomberlin
5.1 Introduction, 94
5.2 DNA extraction, 96
5.3 DNA sequencing, 99
5.4 Marker gene data analysis, visualization, and interpretation, 107
5.5 Multi?]omics data analysis, visualization, and interpretation, 114
5.6 Statistical analysis, 117
5.7 Major challenges and future directions, 118
6 Culture and long?]term storage of microorganisms for forensic science, 127Emily N. Junkins, Embriette R. Hyde and David O. Carter
6.1 Introduction, 127
6.2 The value of culturing microorganisms, 128
6.3 Collection and handling of samples, 132
6.4 Protocols, 134
6.5 Conclusions, 143
7 Clinical microbiology and virology in the context of the autopsy, 146Elisabeth J. Ridgway, Bala M. Subramanian and Mohammad Raza
7.1 Introduction, 146
7.2 The historical view of autopsy microbiology, 147
7.3 Which samples should you collect and how?, 149
7.4 Which methods are available for the diagnosis of infection?, 154
7.5 How do you put the results into context?, 156
7.6 What are the risks of transmission of infection in the postmortem room?, 163
7.7 How does autopsy microbiology contribute to the diagnosis of specific conditions?, 164
8 Postmortem bacterial translocation, 192Vadim Mesli, Christel Neut and Valery Hedouin
8.1 Introduction, 192
8.2 Bacterial translocation in health and disease, 195
8.3 Bacterial translocation in humans, 198
8.4 Physiological changes after death influencing the selection of commensal bacteria, 200
8.5 Consequences of bacterial translocation, 204
9 Microbial impacts in postmortem toxicology, 212Jared W. Castle, Danielle M. Butzbach, G. Stewart Walker, Claire E. Lenehan, Frank Reith and K. Paul Kirkbride
9.1 Introduction, 212
9.2 Microbial factors complicating postmortem toxicological analyses, 213
9.3 Precautions taken to limit microbial impacts, 214
9.4 Experimental protocols used to investigate postmortem drug and metabolite degradation due to microbial activity, 218
9.5 Examples of microbially mediated drug degradation, 219
10 Microbial communities associated with decomposing corpses, 245Embriette R. Hyde, Jessica L. Metcalf, Sibyl R. Bucheli, Aaron M. Lynne and Rob Knight
10.1 Introduction, 245
10.2 The soil microbiology of decomposition, 248
10.3 Freshwater and marine decomposition, 252
10.4 The microbiology of nonhuman models of terrestrial decomposition, 255
10.5 The microbiology of terrestrial human decomposition, 258
10.6 Is there a universal decomposition signature?, 263
10.7 Using microbial signatures to estimate PMI, 264
11 Arthropod-microbe interactions on vertebrate remains: Potential applications in the forensic sciences, 274Jeffery K. Tomberlin, M. Eric Benbow, Kate M. Barnes and Heather R. Jordan
11.1 Introduction, 274
11.2 Framework for understanding microbe-arthropod interactions on vertebrate remains, 282
11.3 Postcolonization interval, 287
11.4 Future directions and conclusion, 297
11.5 Acknowledgments, 298
12 Microbes, anthropology, and bones, 312Franklin E. Damann and Miranda M.E. Jans
12.1 Introduction, 312
12.2 Bone microstructure, 313
12.3 Microbially mediated decomposition, 315
12.4 Bone bioerosion, 317
12.5 Reconstructing postmortem histories, 322
13 Forensic microbiology in built environments, 328Simon Lax and Jack A. Gilbert
13.1 Introduction, 328
13.2 The human skin microbiome, 328
13.3 The microbiota of the built environment, 329
13.4 Tools for the forensic classification of the built environment microbiome, 332
13.5 Forensic microbiology of the built environment, 335
14 Soil bacteria as trace evidence, 339David R. Foran, Ellen M. Jesmok and James M. Hopkins
14.1 The forensic analysis of soil, 339
14.2 Assessing the biological components of soil, 340
14.3 Bacteria in soil, 341
14.4 Molecular techniques for the forensic analysis of soil, 342
14.5 Soil microbial profile data analysis methods, 345
14.6 Feasibility of next?]generation sequencing for forensic soil analysis, 350
14.7 Consensus on methodologies for soil collection and analysis, 353
15 DNA profiling of bacteria from human hair: Potential and pitfalls, 358Silvana R. Tridico, Dáithí C. Murray, Michael Bunce and K. Paul Kirkbride
15.1 An introduction to human hair as a forensic substrate, 358
15.2 Current research into hair microbiomes, 361
15.3 Importance of hair sample collection, storage, and isolation of microbial DNA, 365
15.4 DNA sequencing of hair microbiomes, 367
15.5 Conclusions and future directions, 369
Perspectives on the future of forensic microbiology, 376David O. Carter, Jeffery K. Tomberlin, M. Eric Benbow and Jessica L. Metcalf
Index, 379
David O. Carter1, Emily N. Junkins1,2 and Whitney A. Kodama1
1 Laboratory of Forensic Taphonomy, Forensic Sciences Unit, Division of Natural Sciences and Mathematics, Chaminade University of Honolulu, Honolulu, HI, USA
2 Department of Microbiology and Plant Biology, University of Oklahoma, Norman, OK, USA
In many ways microorganisms are an ideal form of physical evidence. They can be found virtually everywhere and are certainly present in every habitat occupied by humans. Thus, microbes could be collected from every scene under a forensic investigation, yet not all microorganisms are everywhere; like many forms of trace evidence, some microbes are found only in certain locations due to having a preferred habitat, much like how insects, birds, and reptiles have a preferred habitat range. Another valuable characteristic of microorganisms is that many of them can transform themselves into a highly durable structure that is designed to survive harsh conditions, which increases the likelihood of their survival and discovery. Considering all of these attributes, it is probably not surprising that microorganisms have been used as physical evidence since the early days of forensic science, particularly to establish the cause of death (e.g., MacCallum and Hastings, 1899). Forensic microbiology has since grown into an exciting discipline relevant to several areas of forensic science including medicolegal death investigation (Caplan and Koontz, 2001; Forbes et al., 2016), bioterrorism (Budowle et al., 2011), and product authenticity (Brzezinski and Craft, 2012). It will be absolutely fascinating to learn of the new discoveries in forensic microbiology over the next few decades.
Historically microbes have been used almost exclusively as spatial evidence-physical evidence that is used to associate people with diseases, objects, and/or locations (Locard, 1930a, b, c; Caplan and Koontz, 2001; Tridico et al., 2014; Wiltshire et al., 2014; Young et al., 2015). This application is similar to the use of any other form of trace evidence, such as soil (Bisbing, 2016), paint (Kirkbride, 2016), glass (Almirall and Trejos, 2016), and fibers (Houck, 2016). However, recent research has shown that microorganisms represent a relatively unique form of physical evidence that can also serve as temporal evidence, evidence that is used to establish a timeline. This application uses the ability of microorganisms to respond rapidly to changes in their environment (e.g., Carter and Tibbett, 2006), and these changes are temporally predictable (Metcalf et al., 2013; Pechal et al., 2014; Guo et al., 2016; Metcalf et al., 2016), with an apparent ability to serve as an estimate of the postmortem interval (Chapter 2) and human habitation (Chapter 13) interval.
We are currently in an exciting time when multiple research groups around the world are leading advances in postmortem microbiology and trace microbiology (Fierer et al., 2010; Benbow et al., 2015; Lax et al., 2015; Metcalf et al., 2016). These advances are occurring rapidly and have great potential to significantly change how microorganisms are used as physical evidence. Microorganisms will likely play a greater role as physical evidence in the future, so the purpose of the current chapter is to provide an introduction to some fundamental aspects of microbiology and microbial ecology to help the reader develop an appreciation for the vast diversity of microorganisms and how they can be used to identify a location or time period of investigative interest. It is not possible for this chapter to review all known microorganisms, so the contents hereinafter will place an emphasis on bacteria that are of interest to the most recent research relevant to the scope of this book, postmortem microbiology and trace microbiology (e.g., Benbow et al., 2015; Iancu et al., 2015; Finley et al., 2016; Metcalf et al., 2016). However, domains Archaea and Eukarya are also highly relevant, and the current chapter will reference relevant work, when possible, that focuses on these very important taxa within a forensic context.
Microorganisms can differ in many ways including their morphology, method of movement (motility), metabolic strategy, environmental requirements, and several other characteristics (Brown, 2015). The current chapter will address this issue with relative simplicity by describing how microorganisms survive with a brief description of some relevant taxa.
Classification of life has proven to be a challenge. Presently, there are a number of opinions on how we should organize organisms in terms of their relationship to one another. Although not the focus of this chapter, this topic is of great importance as it impacts our ability to assess microbial communities in general. Thus, we suggest individuals with an interest in forensic microbiology remain cognizant of the ever-shifting landscape of microbial taxonomy.
For this text, we focus our discussion on three major groups of microorganisms organized as domains: Archaea, Bacteria, and Eukarya (Woese et al., 1990) although a new perspective on this classification was presented recently (Hug et al., 2016). The List of Prokaryotic Names with Standing in Nomenclature (http://www.bacterio.net) currently divides Bacteria into 30 phyla (Table 1.1) and Archaea into five phyla (Crenarchaeota, Euryarchaeota, Korarchaeota, Nanoarchaeota, Thaumarchaeota). These microbes can vary morphologically, with spherical (cocci; Figure 1.1a) and rod-shaped (historically termed bacilli; Figure 1.1b) being the most common. Variations on these general morphologies exist (Figure 1.1c), as do other morphologies such as club-shaped cells (coryneform; Figure 1.1d) and curved rods (e.g., vibrio). Thus, referring to a bacterium as a rod or a coccus is a helpful way to begin the identification process.
Table 1.1 Phyla of domain Bacteria included in the list of prokaryotic names with standing in nomenclature, http://www.bacterio.net
Figure 1.1 Scanning electron micrograph showing some of the contrasting morphologies observed in microbial cells including the widely observed coccus (a: Staphylococcus cohnii) and rod (b: Bacillus subtilis) shapes, which can vary and occur in association with other morphologies (c). Microbial cells can be observed as several other shapes including spiral (spirilla), curved rods (vibrio), and club shaped (coryneform), the latter of which is observed in Sporosarcina contaminans (d)
As the term microbiology indicates, microbes are small. A bacterial cell will likely have a diameter of 1-5?µm (see Figure 1.1), which means that microscopy is necessary to view individual microbial cells. Thus, the shape and size of microbial cells can be used for a general identification, usually to exclude possible identities. Other commonly used characteristics to identify microbes include the reaction to the Gram stain and the ratio of nucleotides in a cell, which is presented as guanine-cytosine (GC) content.
Stains play a significant role in the identification of microorganisms. For example, the Gram stain was developed in the nineteenth century to help visualize microbial cells. Without staining, many microbial cells are transparent and difficult to see. The Gram-positive and Gram-negative designation also provides some insight into the structure of the microbial cell wall. The cell wall of a Gram-positive bacterium is approximately 90% peptidoglycan, whereas the cell wall of a Gram-negative bacterium is approximately 10% peptidoglycan (Madigan et al., 2012). Interestingly, the Gram designation also provides information about the taxonomy of bacteria. Gram-positive bacteria are generally found in phyla Actinobacteria and Firmicutes. Some relatively well-known Gram-positive bacteria include genera Bacillus (rod), Clostridium (rod), and Streptococcus (coccus), all of which are in phylum Firmicutes. The GC content of a cell can be used to generally distinguish between Actinobacteria and Firmicutes. The GC content represents the proportion of the bacterial genome that comprises GC base pairs, rather than adenine-thymine base pairs, and is presented as high GC (>50% GC content) or low GC (<50% GC content). Phylum Actinobacteria...
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