scholarly journals Determination of a Criminal Suspect Using Environmental Plant DNA Metabarcoding Technology

Author(s):  
Yanlei Liu ◽  
Chao Xu ◽  
Wenpan Dong ◽  
Xueying Yang ◽  
Shiliang Zhou

Abstract Background: There are criminal cases that no frequently used evidence, for example, DNAs from the criminal, is available. Such cases usually are unresolvable. With the advent of DNA metabarcoding, evidences are mined from environmental DNA and such cases become resolvable. This study reports how a criminal suspect was determined by environmental plant DNA metabarcoding technology. A girl was killed in a rural wet area in China without a witness or video record. Pants with dried mud was found from one of her boyfriend’s house. The mud was removed from the pants and 11 more mud or soil samples surrounding murder scene were collected. DNA was extracted from the soil. Chloroplast rbcL gene fragments were amplified and sequenced on a next generation sequencing platform. Results: After bioinformatics analysis, of the 2980 ZOTUs in total obtained from the 12 samples, 1495 ZOTUs were identified to species, genera or families based on the existing public database. The feast analysis based on either taxa or taxa plus abundance data demonstrated that the mud on the suspect’s pants was from the criminal scene. Conclusions: The suspect finally made a clean breast of his crime. This case implies that plant DNA in the environment soil is a new source of evidence in determination of suspects using DNA metabarcoding technology and has high potentials of extensive applications in criminal cases.


Author(s):  
Yanlei Liu ◽  
Chao Xu ◽  
Wenpan Dong ◽  
Xueying Yang ◽  
Shiliang Zhou


2020 ◽  
Vol 367 (17) ◽  
Author(s):  
Mengyan Liu ◽  
Yi Zhao ◽  
Yuzhe Sun ◽  
Ping Wu ◽  
Shiliang Zhou ◽  
...  

ABSTRACT The presence of diatoms in victim's internal organs has been regarded as a gold biological evidence of drowning. The idea becomes true at the advent of DNA metabarcoding. Unfortunately, the DNA barcode of diatoms are far from being applicable due to neither consensus on the barcode and nor reliable reference library.In this study we tested 23 pairs of primers, including two new primer pairs, Baci18S (V4 of 18S) and BacirbcL (central region of rbcL), for amplifying fragments of 16S/18S, 23S/28S, COI, ITS and rbcL. A total of five pairs of primers performed satisfactory for diatoms. We used three of them, 18S605 (V2 + V3 of 18S), Baci18S and BacirbcL, to barcode four water samples using next generation sequencing platform. The results showed that these primers worked well for NGS metabarcoding of diatoms. We suggest that 18S605, Baci18S and BacirbcL be barcodes of diatoms and the corresponding primer pairs be used. Considering a quite high proportion of sequences deposited in GenBank were mislabeled, the most urgent task for DNA barcoding of diatoms is to create standard sequences using correctly identified specimens, ideally type specimens.



Blood ◽  
2013 ◽  
Vol 122 (21) ◽  
pp. 1761-1761
Author(s):  
Andrew M. Intlekofer ◽  
Venkatraman E. Sheshan ◽  
Ross L. Levine ◽  
Andrew D. Zelenetz ◽  
Julie Teruya-Feldstein ◽  
...  

Abstract Whole genome and exome sequencing studies have identified numerous genomic alterations in DLBCL, but these methods have limited applicability for the clinical care of lymphoma patients due to cost, specific tissue requirements, and laborious bioinformatic analysis. FoundationOne-Heme (FOH) is a novel next-generation sequencing platform designed to provide targeted assessment of the genomic landscape of hematologic malignancies, including identification of mutations within specific genes, copy number changes, and translocations. FOH can be performed on small quantities of formalin-fixed paraffin-embedded (FFPE) tissue, detect rare variants due to extensive depth of sequencing coverage, and rapidly provide results via streamlined bioinformatic interpretation. Here we report the first experience using this novel platform to evaluate the genetic landscape of DLBCL. Genomic DNA and total RNA were isolated from FFPE tissue on a cohort of 53 cases of DLBCL, including de novo (n=30), relapsed/refractory (n=12), and large cell transformation from low-grade lymphoma (n=11). The cohort included 25 cases with combined MYC and BCL2 overexpression by IHC (criteria for positivity: >40% MYC, >70% BCL2), of which only one had a known translocation involving MYC. Adaptor ligated sequencing libraries were captured by solution hybridization using two custom bait sets targeting 374 cancer-related genes and 24 genes frequently rearranged for DNA-seq, and 258 frequently-rearranged genes for RNA-seq. All captured libraries were sequenced to high depth (Illumina HiSeq), averaging >658x for DNA and >20,000,000 total pairs for RNA, to enable the sensitive and specific detection of genomic alterations. Significant non-synonomous variants were identified as mutations from the COSMIC database, amplifications of established oncogenes, or homozygous deletions and/or clear loss-of-function mutations of known tumor suppressors. The DNA sequencing component of FOH detected translocations in BCL2, BCL6, and MYC, while the RNA sequencing component detected fusion transcripts involving BLC6 and MYC, in agreement with independent cytogenetic analysis via karyotype and FISH where available. The assay detected copy number alterations of 44 different genes, most commonly amplification of REL (15%) or loss of CDKN2A/CDKN2B (17%). The most frequent alterations of known significance are detailed in Figure 1. The most commonly altered gene was CDKN2A, exhibiting either homozygous deletion or loss of function mutation in 28% of cases. Chromatin modifying factors (e.g. MLL2, CREBBP, EZH2) represented the most frequently altered biologic category with alterations occurring in >50% of cases. Recurrent alterations in components of the Notch pathway (NOTCH1/2/4, FBXW7, SPEN), each predicted to activate the pathway, were identified in 23% of cases. Cell-of-origin was determined as per the Hans model using IHC for CD10, BCL6, and IRF4/MUM1; CD79B mutations were detected exclusively in non-GCB and EZH2 mutations were found exclusively in GCB-phenotype cases. Furthermore, IHC MYC+/BCL2+ de novo DLBCL cases (n=11) exhibited more frequent hypermutation of PIM1 (46%) compared with the 19 cases of IHC MYC-/BCL2- de novo DLBCL (11%). When comparing the various clinical categories, we found that mutations in tumor suppressors were significantly more common in relapsed/refractory than de novo DLBCL (47% vs 75%, p=0.02). Alterations in TP53 were most frequently observed in transformed lymphoma (55%). Our results demonstrate the feasibility of using a targeted next-generation sequencing platform on FFPE clinical specimens from patients with DLBCL as a means of providing an integrated analysis of gene mutations, copy number alterations, and translocations. This streamlined approach combines multiple molecular and cytogenetic tests into a single platform and uses a small amount of tissue to perform a multifaceted assessment of genomic alterations with potential diagnostic, prognostic, and therapeutic implications. Future efforts will be directed at analyzing additional cases of DLBCL to better establish the biologic and clinical significance of the observed genetic alterations, and to prospectively incorporate this novel platform to select patients for mechanism-based targeted therapy. Disclosures: Intlekofer: Foundation Medicine, Inc: Consultancy. Levine:Foundation Medicine, Inc: Consultancy. Zelenetz:Foundation Medicine, Inc: Consultancy. Palomba:Foundation Medicine, Inc: Consultancy. van den Brink:Foundation Medicine, Inc: Consultancy. Brennan:Foundation Medicine, Inc: Employment. Young:Foundation Medicine, Inc: Employment. He:Foundation Medicine, Inc: Employment. Nahas:Foundation Medicine, Inc: Employment. Yelensky:Foundation Medicine, Inc: Employment. Otto:Foundation Medicine, Inc: Employment. Lipson:Foundation Medicine, Inc: Employment. Stephens:Foundation Medicine, Inc: Employment. Miller:Foundation Medicine, Inc: Employment. Younes:Foundation Medicine, Inc: Consultancy.



2016 ◽  
Vol 61 (3) ◽  
pp. 253-261 ◽  
Author(s):  
Naoko Sakuma ◽  
Hideaki Moteki ◽  
Masahiro Takahashi ◽  
Shin-ya Nishio ◽  
Yasuhiro Arai ◽  
...  


2016 ◽  
Vol 14 (05) ◽  
pp. 1650027 ◽  
Author(s):  
Ashis Kumer Biswas ◽  
Jean X. Gao

RNA-seq, the next generation sequencing platform, enables researchers to explore deep into the transcriptome of organisms, such as identifying functional non-coding RNAs (ncRNAs), and quantify their expressions on tissues. The functions of ncRNAs are mostly related to their secondary structures. Thus by exploring the clustering in terms of structural profiles of the corresponding read-segments would be essential and this fuels in our motivation behind this research. In this manuscript we proposed PR2S2Clust, Patched RNA-seq Read Segments’ Structure-oriented Clustering, which is an analysis platform to extract features to prepare the secondary structure profiles of the RNA-seq read segments. It provides a strategy to employ the profiles to annotate the segments into ncRNA classes using several clustering strategies. The system considers seven pairwise structural distance metrics by considering short-read mappings onto each structure, which we term as the “patched structure” while clustering the segments. In this regard, we show applications of both classical and ensemble clusterings of the partitional and hierarchical variations. Extensive real-world experiments over three publicly available RNA-seq datasets and a comparative analysis over four competitive systems confirm the effectiveness and superiority of the proposed system. The source codes and dataset of PR2S2Clust are available at the http://biomecis.uta.edu/~ashis/res/PR2S2Clust-suppl/ .



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