Intra-bone nuclear DNA variability in Second World War metatarsal and metacarpal bones.
DNA yield
Intra-bone variability
Metacarpals
Metatarsals
Second World War
Journal
International journal of legal medicine
ISSN: 1437-1596
Titre abrégé: Int J Legal Med
Pays: Germany
ID NLM: 9101456
Informations de publication
Date de publication:
Jul 2021
Jul 2021
Historique:
received:
18
11
2020
accepted:
03
02
2021
pubmed:
25
2
2021
medline:
28
8
2021
entrez:
24
2
2021
Statut:
ppublish
Résumé
DNA analysis of Second World War skeletal remains is challenging because of the limited yield of DNA that is usually recovered. Recent forensic research has focused on determining which skeletal elements are superior in their preservation of DNA, and little focus has been placed on measuring intra-bone variability. Metatarsals and metacarpals outperformed all the other bones in DNA yield when analyzing all representative skeletal elements of three Second World War victims, and intra-bone variability was not studied. Soft-tissue remnants were found to contribute to higher DNA yield in trabecular bone tissue. Because metatarsals and metacarpals are composed of trabecular epiphyses and a dense diaphysis, the goal of this study was to explore intra-bone variability in DNA content by measuring nuclear DNA quantity and quality using the PowerQuant System (Promega). A total of 193 bones from a single Second World War mass grave were examined. From each bone, DNA was extracted from the compact diaphysis and from both spongy epiphyses combined. This study confirms higher DNA quantity in epiphyses than diaphyses among all the bones analyzed, and more DNA was obtained from metacarpal epiphyses than from metatarsal epiphyses. Therefore, whenever the possibility for sampling both metacarpals and metatarsals from skeletal remains exists, collecting metacarpals is recommended. In cases in which the hands are missing, metatarsals should be sampled. In any case, epiphyses are a richer source of DNA than diaphyses.
Identifiants
pubmed: 33624158
doi: 10.1007/s00414-021-02528-9
pii: 10.1007/s00414-021-02528-9
doi:
Substances chimiques
DNA
9007-49-2
Types de publication
Journal Article
Langues
eng
Sous-ensembles de citation
IM
Pagination
1245-1256Subventions
Organisme : Javna Agencija za Raziskovalno Dejavnost RS
ID : J3-8214
Références
Ziętkiewicz E, Witt M, Daca P, Zebracka-Gala J, Goniewicz M, Jarzab B, Witt M (2012) Current genetic methodologies in the identification of disaster victims and in forensic analysis. J Appl Genet 53:41–60
doi: 10.1007/s13353-011-0068-7
Sozer AC (2014) DNA analysis for missing person identification in mass fatalities. CRC Press, New York, p 323
doi: 10.1201/b16475
Emmons AL, Davoren J, DeBruyn JM, Mundorff AZ (2020) Inter and intra-individual variation in skeletal DNA preservation in buried remains. Forensic Sci Int Genet 44:102193
doi: 10.1016/j.fsigen.2019.102193
Mundorff AZ, Davoren JM (2014) Examination of DNA yield rates for different skeletal elements at increasing post mortem intervals. Forensic Sci Int Genet 8:55–63
doi: 10.1016/j.fsigen.2013.08.001
Zupanc T, Zupanič PI, Podovšovnik E, Obal M (2020) High DNA yield from metatarsal and metacarpal bones from Slovenian Second World War skeletal remains. Forensic Sci Int Genet 51:102426. https://doi.org/10.1016/j.fsigen.2020.102426
doi: 10.1016/j.fsigen.2020.102426
pubmed: 33248348
Antinick TC, Foran DR (2019) Intra- and inter- element variability in mitochondrial and nuclear DNA from fresh and enviromentally exposed skeletal remains. J Forensic Sci 64:88–97
doi: 10.1111/1556-4029.13843
Barta JL, Monroe C, Kemp BM (2014) Mitochondrial DNA preservation across 3000-years-old northern fur seal ribs is not related to bone density: implications foe forensic investigations. Forensic Sci Int 239:11–18
doi: 10.1016/j.forsciint.2014.02.029
Higgins D, Rohrlach AB, Kaidonis J, Townsend G, Austin JJ (2015) Differential nuclear and mitochondrial DNA preservation in post-mortem teeth with implications for forensic and ancient DNA studies. PLoS One 10(5):e0126935. https://doi.org/10.1371/journal.pone.0126935
doi: 10.1371/journal.pone.0126935
pubmed: 25992635
pmcid: 4438076
Alberti F, Gonzalez J, Paijmans JLA, Basler N, Preick M, Henneberger K, Trinks A, Rabeder G, Conard NJ, Münzel SC, Joger U, Fritsch G, Hildebrandt T, Hofreiter M, Barlow A (2018) Optimized DNA sampling of ancient bones using computed tomography scans. Mol Ecol Resour 18:1196–1208
doi: 10.1111/1755-0998.12911
Clarke B (2008) Normal bone anatomy and physiology. Am Soc Nephrol 3:S131–S139
doi: 10.2215/CJN.04151206
Gasser JA, Kneissel M (2017) Bone physiology and biology. In: Smith S, Varela A, Samadfam R (eds) Bone toxicology. Molecular and integrative toxicology. Springer, New York
Zupanič PI (2016) Extraction of DNA from human skeletal material. In: Goodwin W (ed) Forensic DNA Typing Protocols, Methods in Molecular Biology, vol 1420. Springer Science&Business Media, LLC, New York, pp 89–108
doi: 10.1007/978-1-4939-3597-0_7
Gardner MJ, Altman DG (1986) Confidence intervals rather than P values: estimation rather than hypothesis testing. Br Med J 292:746–750
doi: 10.1136/bmj.292.6522.746
Zupanič PI, Gornjak-Pogorelc B, Balažic J (2010) Molecular genetic identification of skeletal remains from the Second World War Konfin I mass grave in Slovenia. Int J Legal Med 124:307–317
doi: 10.1007/s00414-010-0431-y
Zupanič PI, Obal M, Zupanc T (2020) Identifying victims of the largest Second World War family massacre in Slovenia. Forensic Sci Int 306:110056
doi: 10.1016/j.forsciint.2019.110056
Ewing MM, Thompson JM, McLaren RS, Purpero VM, Thomas KJ, Dobrowski PA, Dobrowski PA, DeGroot GA, Romsos EL, Storts DR (2016) Human DNA quantification and sample assessment: Developmental validation of the PowerQuant system. Forensic Sci Int Genet 23:166–177
doi: 10.1016/j.fsigen.2016.04.007
Zupanič PI, Zupanc T, Balažic J, Geršak ŽM, Stojković O, Skadrić I, Črešnar M (2017) Prediction of autosomal STR typing success in ancient and Second World War bone samples. Forensic Sci Int Genet 27:17–26
doi: 10.1016/j.fsigen.2016.11.004
Al-Akhras M-AH, Hasan Qaseer MK, Albiss BA, Anwar Alebrhim M, Gezawa US (2018) Investigation of composition and structure of spongy and hard bone tissue using FTIR spectroscopy. XRD SEM IOP Conf Ser Mater Sci Eng 305:012010. https://doi.org/10.1088/1757-899X/305/1/012010
doi: 10.1088/1757-899X/305/1/012010
Frost HM (2003) Bone′s mechanostat: A 2003 update. Anat Rec Part A 275:1081–1101
doi: 10.1002/ar.a.10119
Robling AG, Castillo AB, Turner CH (2006) Biomechanical and molecular regulation of bone remodeling. Annu Rev Biomed Eng 8:455–498
doi: 10.1146/annurev.bioeng.8.061505.095721
Scheuer L (2001) In: Carter DR, Beaupré GS (eds) Skeletal function and form: mechanobiology of skeletal development, aging, and regeneration. Cambridge University Press, Cambridge
Currey JD (2002) Bones: structure and mechanics. Princeton University Press
Andronowski JM, Mundorff AZ, Davis RA, Price EW (2019) Application of X-ray photoelectron spectroscopy to examine surface chemistry of cancellous bone and medullary contents to refine bone sample selection for nuclear DNA analysis. J Anal At Spectrom 34:2074–2082
doi: 10.1039/C9JA00203K
Andronowski JM, Mundorff AZ, Pratt IV, Davoren JM (2017) Evaluating differential nuclear DNA yield rates and osteocyte numbers among human bone tissue types: a synchroyton radiation micro-CT approach. Forensic Sci Int Genet 28:211–218
doi: 10.1016/j.fsigen.2017.03.002
Schweitzer MH, Marshall M, Carron K, Bohle DS, Busse SC, Arnold EV, Bernard D, Horner JR, Starkey JR (1997) Heme compounds in dinosaur trabecular bone. Proc Natl Acad Sci 94:6291–6296
doi: 10.1073/pnas.94.12.6291
Schweitzer MH, Wittmeyer JL, Horner JR, Toporski JB (2005) Soft tissue vessels and cellular preservation in Tyrannosaurus rex. Science. 307:1952–1955
doi: 10.1126/science.1108397
Schweitzer MH, Wittmeyer JL, Horne JR (2007) Soft tissue preservation in vertebrate skeletal elements from the Cretaceous to the present. Proc R Soc B 274:183–197
doi: 10.1098/rspb.2006.3705
Martill DM, Unwin DM (1997) Small spheres in fossil bones: blood corpuscles or diagenetic products? Paleontology. 40:619–624
Kaye TG, Gaugler G, Sawlowicz Z (2008) Dinosaurian soft tissues interpreted as bacterial biofilms. PLoS One 3(7):e2808. https://doi.org/10.1371/journal.pone.0002808
doi: 10.1371/journal.pone.0002808
pubmed: 18665236
pmcid: 2483347
Gotherstrom A, Collins MJ, Angerbjorn A, Liden K (2002) Bone preservation and DNA amplification. Archaeometry. 3:395–404
doi: 10.1111/1475-4754.00072
Latham KE, Miller JJ (2019) DNA recovery and analysis from skeletal material in modern forensic contexts. Forensic Sci Res 4:51–59
doi: 10.1080/20961790.2018.1515594
Emmons AL, Mundorff AZ, Keenan SW, Davoren J, Andronowski J, Carter DO, DeBruyn JM (2019) Patterns of microbial colonization of human bone from surface-decomposed remains. bioRxiv:664482. https://doi.org/10.1101/664482
Mundorff AZ, Bartelink EJ, Mar-Cash E (2009) DNA preservation in skeletal elements from World Trade Center disaster: recommendations for mass fatality management. J Forensic Sci 54(4):739–745
doi: 10.1111/j.1556-4029.2009.01045.x
Ferreira STG, Kuser HH, Garrido RG, Trindade-Filho A, Paula KA, Galvão MF, Moraes AV (2011) Floods and mudslides in the State of Rio de Janeiro and a plane crash in the Brazilian Amazon rainforest: a study of two different experiences in disaster victim identification (DVI). Forensic Sci Int Genet Suppl Ser 3(1):516–517
doi: 10.1016/j.fsigss.2011.10.005
Hines DZC, Vennemeyer M, Amory S, Huel RLM, Hanson I, Katzmarzyk C (2014) Prioritizing sampling of bone and teeth for DNA analysis in commingled cases. In: Adams BJ, Byrd JE (eds) Commingled human remains: methods in recovery, analysis, and identification. Elsevier Science, Oxford, pp 275–305
doi: 10.1016/B978-0-12-405889-7.00013-7
Prinz M, Carracedo A, Mayr WR, Morling N, Parsons TJ, Sajantila A, Scheithauer R, Schmitter H, Schneider PM (2007) International Society for Forensic Genetics. DNA Commission of the International Society for Forensic Genetics (ISFG): Recommendations regarding the role of forensic genetics for disaster victim identification (DVI). Forensic Sci Int Genet 1:3–12
doi: 10.1016/j.fsigen.2006.10.003