Chapter 12 : Future Technologies

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Microbiome analysis of environmental samples may represent the next frontier in environmental microbial forensics. The microbiome, defined as the sum total of all the genetic material present in a sample, contains evidence of the microbial communities in the sample at the time of collection. As such, it contains clues to past environmental events until the time the sample was collected and processed. This attribute makes the analysis of microbiomes extremely important in identifying and demonstrating the occurrence of an environmental event, be it bioterrorism or a petroleum spill.

Citation: Cano R, Toranzos G. 2018. Future Technologies, p 277-285. In Cano R, Toranzos G (ed), Environmental Microbial Forensics. ASM Press, Washington, DC. doi: 10.1128/microbiolspec.EMF-0015-2018
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Figure 1

Technical factors in microbiome research that influence results and conclusions.

Citation: Cano R, Toranzos G. 2018. Future Technologies, p 277-285. In Cano R, Toranzos G (ed), Environmental Microbial Forensics. ASM Press, Washington, DC. doi: 10.1128/microbiolspec.EMF-0015-2018
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1. Metcalf JL,, Xu ZZ,, Bouslimani A,, Dorrestein P,, Carter DO,, Knight R . 2017. Microbiome tools for forensic science. Trends Biotechnol 35 : 814 823.[PubMed]
2. Stämmler F,, Gläsner J,, Hiergeist A,, Holler E,, Weber D,, Oefner PJ,, Gessner A,, Spang R . 2016. Adjusting microbiome profiles for differences in microbial load by spike-in bacteria. Microbiome 4 : 28.[PubMed]
3. Gorzelak MA,, Gill SK,, Tasnim N,, Ahmadi-Vand Z,, Jay M,, Gibson DL . 2015. Methods for improving human gut microbiome data by reducing variability through sample processing and storage of stool. PLoS One 10 : e0134802.[PubMed]
4. Goodrich JK,, Di Rienzi SC,, Poole AC,, Koren O,, Walters WA,, Caporaso JG,, Knight R,, Ley RE . 2014. Conducting a microbiome study. Cell 158 : 250 262.[PubMed]
5. La Rosa PS,, Brooks JP,, Deych E,, Boone EL,, Edwards DJ,, Wang Q,, Sodergren E,, Weinstock G,, Shannon WD . 2012. Hypothesis testing and power calculations for taxonomic-based human microbiome data. PLoS One 7 : e52078.[PubMed]
6. Sinha R,, Abnet CC,, White O,, Knight R,, Huttenhower C . 2015. The microbiome quality control project: baseline study design and future directions. Genome Biol 16 : 276.[PubMed]
7. Hiergeist A,, Reischl U,, Gessner A, Priority Program 1656 Intestinal Microbiota Consortium/Quality Assessment Participants . 2016. Multicenter quality assessment of 16S ribosomal DNA-sequencing for microbiome analyses reveals high inter-center variability. Int J Med Microbiol 306 : 334 342.[PubMed]
8. Kim D,, Hofstaedter CE,, Zhao C,, Mattei L,, Tanes C,, Clarke E,, Lauder A,, Sherrill-Mix S,, Chehoud C,, Kelsen J,, Conrad M,, Collman RG,, Baldassano R,, Bushman FD,, Bittinger K . 2017. Optimizing methods and dodging pitfalls in microbiome research. Microbiome 5 : 52.[PubMed]
9. Endrullat C,, Glökler J,, Franke P,, Frohme M . 2016. Standardization and quality management in next-generation sequencing. Appl Transl Genomics 10 : 2 9.[PubMed]
10. Tourlousse DM,, Yoshiike S,, Ohashi A,, Matsukura S,, Noda N,, Sekiguchi Y . 2017. Synthetic spike-in standards for high-throughput 16S rRNA gene amplicon sequencing. Nucleic Acids Res 45 : e23 e23.[PubMed]
11. Castillo-Peinado LS,, Luque de Castro MD . 2016. Present and foreseeable future of metabolomics in forensic analysis. Anal Chim Acta 925 : 1 15.[PubMed]
12. Alvarez AJ,, Khanna M,, Toranzos GA,, Stotzky G . 1998. Amplification of DNA bound on clay minerals. Mol Ecol 7 : 775 778.
13. Alvarez AJ,, Yumet GM,, Santiago CL,, Toranzos GA . 1996. Stability of manipulated plasmid DNA in aquatic environments. Environ Toxicol Water Qual 11 : 129 135.
14. Bohmann K,, Evans A,, Gilbert MT,, Carvalho GR,, Creer S,, Knapp M,, Yu DW,, de Bruyn M . 2014. Environmental DNA for wildlife biology and biodiversity monitoring. Trends Ecol Evol 29 : 358 367. (Erratum, doi:10.1016/j.tree.2014.05.012.)
15. Budowle B,, Murch R,, Chakraborty R . 2005. Microbial forensics: the next forensic challenge. Int J Legal Med 119 : 317 330.[PubMed]
16. Budowle B . 2003. Defining a new forensic discipline: microbial forensics. Profiles DNA 6 : 7 10.
17. Cano RJ,, Rivera-Perez J,, Toranzos GA,, Santiago-Rodriguez TM,, Narganes-Storde YM,, Chanlatte-Baik L,, García-Roldán E,, Bunkley-Williams L,, Massey SE . 2014. Paleomicrobiology: revealing fecal microbiomes of ancient indigenous cultures. PLoS One 9 : e106833.[PubMed]
18. Toranzos GA,, Santiago-Rodriguez TM,, Cano RJ,, Fornaciari G . 2017. Proper authentication of ancient DNA is essential, yes; but so are undogmatic approaches. FEMS Microbiol Ecol 93 : fix043.[PubMed]
19. Patrício AR,, Herbst LH,, Duarte A,, Vélez-Zuazo X,, Santos Loureiro N,, Pereira N,, Tavares L,, Toranzos GA . 2012. Global phylogeography and evolution of chelonid fibropapilloma-associated herpesvirus 1. J Gen Virol 93 : 1035 1045.[PubMed]
20. Piñar G,, Piombino-Mascali D,, Maixner F,, Zink A,, Sterflinger K . 2013. Microbial survey of the mummies from the Capuchin Catacombs of Palermo, Italy: biodeterioration risk and contamination of the indoor air. FEMS Microbiol Ecol 86 : 341 356.[PubMed]
21. von Wintzingerode F,, Göbel UB,, Stackebrandt E . 1997. Determination of microbial diversity in environmental samples: pitfalls of PCR-based rRNA analysis. FEMS Microbiol Rev 21 : 213 229.[PubMed]

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