Skip to main content
Key Specialties
Cardiology Diabetology Endocrinology Gastroenterology Geriatrics and Gerontology Gynecology and Obstetrics Hematology Infectious Disease Internal Medicine Nephrology Neurology Oncology Pediatrics Respiratory Medicine Rheumatology Surgery
Congress Coverage
2024 ACC Congress 2023 ESMO Congress 2023 EASD Congress 2023 ERS Congress 2023 ESC Congress 2023 EHA Congress 2023 ASCO Annual Meeting
Clinical Collections
Advances in Alzheimer’s

At a glance: The ONWARDS insulin icodec trials

A round-up of the ONWARDS phase 3 clinical trials evaluating the novel weekly insulin icodec in people with diabetes.
ADVANCED SEARCH
Log in
Top
International Journal of Legal Medicine
Published in: International Journal of Legal Medicine 3/2019

01-05-2019 | Original Article

Specific microbes of saliva and vaginal fluid of Guangdong Han females based on 16S rDNA high-throughput sequencing

Authors: Hongyan Huang, Ting Yao, Weibin Wu, Chuangyan Zhai, Tianshan Guan, Yali Song, Yunxia Sun, Cheng Xiao, Peiyan Liang, Ling Chen

Published in: International Journal of Legal Medicine | Issue 3/2019

Login to get access

Abstract

Vaginal fluid and saliva are of great importance in forensic sciences. The identification of vaginal fluid or saliva is especially important in criminal cases. Microbes are considered as a promising marker for the identification of body fluids. In this study, 18 salivary fluids and 18 vaginal fluid samples were collected from 18 healthy women of the Han population in Guangdong province, China. The microbes of the above samples were analyzed by 16S rDNA high-throughput sequencing. The results showed that the microbes whose proportions are over 1% in saliva samples distributed across 12 genera and 57 operational taxonomic units (OTUs), and in vaginal fluid distributed across 4 genera and 9 OTUs. The microbes that dominated in saliva were quite different from those dominated in vaginal fluids. The linear discriminant analysis (LDA) effect size (LEfSe) algorithm was used to screen out the specific microbes of the studied samples, and the results showed that the specific microbes in saliva samples are Haemophilus parainfluenzae, Veillonella parvula, and Aggregatibacter segnis, while in vaginal fluid is Lactobacillus iners.
Literature
1.
Sijen T (2015) Molecular approaches for forensic cell type identification: on mRNA, miRNA, DNA methylation and microbial markers. Forensic Sci Int Genet 18:21–32PubMedCrossRef
2.
3.
van den Berge M, Carracedo A, Gomes I, Graham EAM, Haas C, Hjort B, Hoff-Olsen P, Maroñas O, Mevåg B, Morling N, Niederstätter H, Parson W, Schneider PM, Court DS, Vidaki A, Sijen T (2014) A collaborative European exercise on mRNA-based body fluid/skin typing and interpretation of DNA and RNA results. Forensic Sci Int Genet 10:40–48PubMedCrossRef
4.
Haas C, Hanson E, Anjos MJ, Bär W, Banemann R, Berti A, Borges E, Bouakaze C, Carracedo A, Carvalho M, Castella V, Choma A, de Cock G, Dötsch M, Hoff-Olsen P, Johansen P, Kohlmeier F, Lindenbergh PA, Ludes B, Maroñas O, Moore D, Morerod ML, Morling N, Niederstätter H, Noel F, Parson W, Patel G, Popielarz C, Salata E, Schneider PM, Sijen T, Sviežena B, Turanská M, Zatkalíková L, Ballantyne J (2012) RNA/DNA co-analysis from blood stains--results of a second collaborative EDNAP exercise. Forensic Sci Int Genet 6(1):70–80PubMedCrossRef
5.
Haas C, Hanson E, Anjos MJ, Ballantyne KN, Banemann R, Bhoelai B, Borges E, Carvalho M, Courts C, de Cock G, Drobnic K, Dötsch M, Fleming R, Franchi C, Gomes I, Hadzic G, Harbison SA, Harteveld J, Hjort B, Hollard C, Hoff-Olsen P, Hüls C, Keyser C, Maroñas O, McCallum N, Moore D, Morling N, Niederstätter H, Noël F, Parson W, Phillips C, Popielarz C, Roeder AD, Salvaderi L, Sauer E, Schneider PM, Shanthan G, Court DS, Turanská M, van Oorschot RAH, Vennemann M, Vidaki A, Zatkalíková L, Ballantyne J (2014) RNA/DNA co-analysis from human menstrual blood and vaginal secretion stains: results of a fourth and fifth collaborative EDNAP exercise. Forensic Sci Int Genet 8(1):203–212PubMedCrossRef
6.
Haas C, Hanson E, Anjos MJ, Banemann R, Berti A, Borges E, Carracedo A, Carvalho M, Courts C, de Cock G, Dötsch M, Flynn S, Gomes I, Hollard C, Hjort B, Hoff-Olsen P, Hríbiková K, Lindenbergh A, Ludes B, Maroñas O, McCallum N, Moore D, Morling N, Niederstätter H, Noel F, Parson W, Popielarz C, Rapone C, Roeder AD, Ruiz Y, Sauer E, Schneider PM, Sijen T, Court DS, Sviežená B, Turanská M, Vidaki A, Zatkalíková L, Ballantyne J (2013) RNA/DNA co-analysis from human saliva and semen stains--results of a third collaborative EDNAP exercise. Forensic Sci Int Genet 7(2):230–239PubMedCrossRef
7.
Haas C, Hanson E, Banemann R, Bento AM, Berti A, Carracedo Á, Courts C, Cock GD, Drobnic K, Fleming R, Franchi C, Gomes I, Hadzic G, Harbison SA, Hjort B, Hollard C, Hoff-Olsen P, Keyser C, Kondili A, Maroñas O, McCallum N, Miniati P, Morling N, Niederstätter H, Noël F, Parson W, Porto MJ, Roeder AD, Sauer E, Schneider PM, Shanthan G, Sijen T, Syndercombe Court D, Turanská M, van den Berge M, Vennemann M, Vidaki A, Zatkalíková L, Ballantyne J (2015) RNA/DNA co-analysis from human skin and contact traces--results of a sixth collaborative EDNAP exercise. Forensic Sci Int Genet 16:139–147PubMedCrossRef
8.
Hanson EK, Lubenow H, Ballantyne J (2009) Identification of forensically relevant body fluids using a panel of differentially expressed microRNAs. Anal Biochem 387(2):303–314PubMedCrossRef
9.
Sauer E, Reinke AK, Courts C (2016) Differentiation of five body fluids from forensic samples by expression analysis of four microRNAs using quantitative PCR. Forensic Sci Int Genet 22:89–99PubMedCrossRef
10.
Zubakov D, Boersma AWM, Choi Y, van Kuijk PF, Wiemer EAC, Kayser M (2010) MicroRNA markers for forensic body fluid identification obtained from microarray screening and quantitative RT-PCR confirmation. Int J Legal Med 124(3):217–226PubMedPubMedCentralCrossRef
11.
An JH, Choi A, Shin KJ, Yang WI, Lee HY (2013) DNA methylation-specific multiplex assays for body fluid identification. Int J Legal Med 127(1):35–43PubMedCrossRef
12.
Lee HY, Park MJ, Choi A, An JH, Yang WI, Shin KJ (2012) Potential forensic application of DNA methylation profiling to body fluid identification. Int J Legal Med 126(1):55–62PubMedCrossRef
13.
Bahn JH, Zhang Q, Li F, Chan TM, Lin X, Kim Y, Wong DTW, Xiao X (2015) The landscape of microRNA, Piwi-interacting RNA, and circular RNA in human saliva. Clin Chem 61(1):221–230PubMedCrossRef
14.
Dong WW, Li HM, Qing XR, Huang DH, Li HG (2016) Identification and characterization of human testis derived circular RNAs and their existence in seminal plasma. Sci Rep 6:39080PubMedPubMedCentralCrossRef
15.
Hanssen EN, Avershina E, Rudi K, Gill P, Snipen L (2017) Body fluid prediction from microbial patterns for forensic application. Forensic Sci Int Genet 30:10–17PubMedCrossRef
16.
Choi A, Shin KJ, Yang WI, Lee HY (2014) Body fluid identification by integrated analysis of DNA methylation and body fluid-specific microbial DNA. Int J Legal Med 128(1):33–41PubMedCrossRef
17.
Quaak FCA, van Duijn T, Hoogenboom J, Kloosterman AD, Kuiper I (2018 Sep) Human-associated microbial populations as evidence in forensic casework. Forensic Sci Int Genet 36:176–185PubMedCrossRef
18.
Penning R, Betz P (1992) Physical examination of the victim of alleged rape. Geburtshilf Frauenheilkd 52(1):59–61 GermanCrossRef
19.
Grunbaum BW (1989) Admissibility of biochemical analyses results from sexual assault evidence in the United States courts. Med Law 8(5):485–492PubMed
20.
Jones S, Scott K, Lewis J, Davidson G, Allard JE, Lowrie C, McBride BM, McKenna L, Teppett G, Rogers C, Clayson N (2016) Baird a. DNA transfer through nonintimate social contact[J]. Sci Justice 56(2):90–95PubMedCrossRef
21.
Gönültaş BM, Sahin B (2018) Event locations in extra-familial child sexual molestation cases: the Istanbul example. Int J Offender Ther Comp Criminol 62(5):1164–1178PubMedCrossRef
22.
Seto MC, Babchishin KM, Pullman LE, McPhail IV (2015) The puzzle of intrafamilial child sexual abuse: a meta-analysis comparing intrafamilial and extrafamilial offenders with child victims. Clin Psychol Rev 39:42–57PubMedCrossRef
23.
24.
Benschop CC et al (2012) Vaginal microbial flora analysis by next generation sequencing and microarrays; can microbes indicate vaginal origin in a forensic context? Int J Legal Med 126(2):303–310PubMedCrossRef
25.
26.
Kang JG, Kim SH, Ahn TY (2006) Bacterial diversity in the human saliva from different ages. J Microbiol 44(5):572–576PubMed
27.
Ali MM, Shokry DA, Zaghloul HS, Rashed LA (2013) Nada MG.PCR applications in identification of saliva samples exposed to different conditions (streptococci detection based). Pak J Biol Sci 16(12):575–579PubMedCrossRef
28.
Nakanishi H, Ohmori T, Hara M, Takada A, Shojo H, Adachi N, Saito K (2011) A simple identification method of saliva by detecting Streptococcus salivarius using loop-mediated isothermal amplification. J Forensic Sci 56(Suppl 1):S158–S161PubMedCrossRef
29.
Fleming RI, Harbison S (2010) The use of bacteria for the identification of vaginal secretions. Forensic Sci Int Genet 4(5):311–315PubMedCrossRef
30.
Zou KN, Hu M, Huang JP, Zhou HG (2016) Identification of vaginal fluid using microbial signatures. Fa Yi Xue Za Zhi 32(4):254–256PubMed
31.
Zou KN, Ren LJ, Ping Y, Ma K, Li H, Cao Y, Zhou HG, Wei YL (2016) Identification of vaginal fluid, saliva, and feces using microbial signatures in a Han Chinese population. J Forensic Legal Med 43:126–131CrossRef
32.
DeSantis TZ, Hugenholtz P, Larsen N, Rojas M, Brodie EL, Keller K, Huber T, Dalevi D, Hu P, Andersen GL (2006) Greengenes, a chimera-checked 16S rRNA gene database and workbench compatible with ARB. Appl Environ Microbiol 72:5069–5072PubMedPubMedCentralCrossRef
33.
34.
35.
Amabebe E, Anumba DOC (2018 Jun 13) The vaginal microenvironment: the physiologic role of lactobacilli. Front Med (Lausanne) 5:181CrossRef
36.
Dan Z, Linlin M et al (2015) Diversity of Lactobacillus in vagina of vulvovaginal candidiasis. Zhonghua Yi Xue Za Zhi 95(13):1012–1016 Chinese
37.
Petrova MI, Reid G, Vaneechoutte M, Lebeer S (2017) Lactobacillus iners: friend or foe?[J]. Trends Microbiol 25(3):182–191PubMedCrossRef
38.
Jakobsson T, Forsum U (2007) Laetobacillus iners:a marker of changes in the vaginal flora? J Clin Microbial 45(9):3145CrossRef
39.
40.
41.
42.
43.
Seerangaiyan K, van Winkelhoff AJ, Harmsen HJM, Rossen JWA, Winkel EG (2017) The tongue microbiome in healthy subjects and patients with intra-oral halitosis. J Breath Res 11(3):036010PubMedCrossRef
44.
45.
46.
Lee CC, Tang JH et al (2015) Effect of meteorological and geographical factors on the epidemics of hand, foot, and mouth disease in island-type territory. East Asia Biomed Res Int 2015:805039PubMed
47.
Belstrøm D, Sembler-Møller ML, Grande MA, Kirkby N, Cotton SL, Paster BJ, Twetman S, Holmstrup P (2018) Impact of Oral hygiene discontinuation on Supragingival and salivary microbiomes. JDR Clin Trans Res 3(1):57–64PubMed
48.
Metadata
Title
Specific microbes of saliva and vaginal fluid of Guangdong Han females based on 16S rDNA high-throughput sequencing
Authors
Hongyan Huang
Ting Yao
Weibin Wu
Chuangyan Zhai
Tianshan Guan
Yali Song
Yunxia Sun
Cheng Xiao
Peiyan Liang
Ling Chen
Publication date
01-05-2019
Publisher
Springer Berlin Heidelberg
Published in
International Journal of Legal Medicine / Issue 3/2019
Print ISSN: 0937-9827
Electronic ISSN: 1437-1596
DOI
https://doi.org/10.1007/s00414-018-1986-2

Other articles of this Issue 3/2019

International Journal of Legal Medicine 3/2019 Go to the issue

Population Data

Genetic polymorphism of 15 autosomal short tandem repeats in Baloch population of Pakistan

Short Communication

Metabolic profile determination of 25N-NBOMe in human liver microsomes by liquid chromatography-quadrupole time-of-flight mass spectrometry

Population Data

Forensic and phylogenetic analyses among three Yi populations in Southwest China with 27 Y chromosomal STR loci

Letter to the Editor

Exploring the 1000 Genomes Project haplotype reporting for the CYP2D6 pharmacogene

Case Report

Poisoning associated with inappropriate use of a eutectic mixture of lidocaine and prilocaine before laser-assisted hair removal: about 3 cases

Original Article

The QIAGEN 140-locus single-nucleotide polymorphism (SNP) panel for forensic identification using massively parallel sequencing (MPS): an evaluation and a direct-to-PCR trial