A Systematic Review of the Use of Intraoral Scanning for Human Identification Based on Palatal Morphology.

A common application for intraoral scanners is the digitization of the morphology of teeth and palatal rugae. Palatal scans are most commonly required to fabricate complete dentures and immediate transitional dentures and serve as a reference point for assessing orthodontic results. However, they are also frequently included by accident, even though the main purpose of intraoral scanning is to reconstruct dentition using computer-aided manufacturing (CAM). The literature shows that the identification of disaster victims has frequently involved palatal rugae impressions. As the skull provides sound insulation, the rugae are resistant to heat, chemicals, and stress. Antemortem data might be difficult to find during a forensic inquiry, particularly in disaster victim identification cases. In contrast with DNA and fingerprints, there is a greater likelihood of having a dental record that contains palatal scans. With specialized software, the scans can be exported as open stereolithography (STL) files. Considering that a full case consumes up to about 100 MB of hard drive space, long-term storage should not be an issue compared to a plaster model. Additionally, dentists widely use online databases to exchange data for smile design, implant registration, and orthodontic purposes. This will produce a digital database that grows quickly and is readily usable for forensic investigations. The uniqueness of forensic features is frequently challenged; however, palatal morphology's unique trait could make it possible as it is characteristic of individuals as well as the most distinguishing factor. This review will highlight how rugae, palatal morphology, mirroring, superimposition, and geometrics can serve in forensic identification.

First report of tomato chlorosis virus (ToCV) and detection of other viruses in field-grown tomatoes in North-Western region of India.

Tomato crop is known to be infected by large number of viruses across the globe causing severe losses in its yield. Accurate information on the distribution and incidence of different viruses is essential to implement virus control strategies. This study provides information on prevalence and distribution of different viruses infecting tomato crop in North-western region of India. Leaf samples of 76 symptomatic tomato and 30 symptomatic and asymptomatic plants of Chenopodium sp. (weed) were collected from eight villages. DAS-ELISA and/or RT-PCR/PCR were used to detect occurrence of nineteen viruses and one viroid in tomatoes. Nine viruses viz. cucumber mosaic virus, groundnut bud necrosis virus, potato virus M, potato virus S, potato virus X, potato virus Y, tomato chlorosis virus, tomato leaf curl New Delhi virus and tomato mosaic virus were detected in 58 of 76 tomato samples. Detection of viruses was confirmed by cloning of specific amplicons followed by sequencing and submission of sequences to the GenBank database. None of the targeted pathogens were found in collected weed samples. Tomato leaf curl New Delhi virus (ToLCNDV) was the most prevalent virus (64.47%) followed by potato virus Y (PVY) (23.68%). Double, triple, quadruple and quintuple infections were also noticed. Phylogenetic analysis of nucleotide sequences was also carried out. Nine viruses infecting tomato crop from North-western region of India were detected. ToLCNDV was most prevalent with highest incidence. To the best of our knowledge, this is the first report of ToCV on tomato from India. Supplementary Information: The online version contains supplementary material available at 10.1007/s13337-022-00801-y.

Physico-chemical characterization and topological analysis of pathogenesis-related proteins from Arabidopsis thaliana and Oryza sativa using in-silico approaches.

Plants are constantly under the threat of various biotic and abiotic stress conditions and to overcome these stresses, they have evolved multiple mechanisms including systematic accumulation of different phytohormones, phytoalexins and pathogenesis related (PR) proteins. PR proteins are cluster of proteins with low molecular weight which get incited in plants under different stresses. In this paper, in-silico approaches are used to compare the physico-chemical properties of 6 PR proteins (PR1, PR2, PR5, PR9, PR10, PR12) of Arabidopsis thaliana and Oryza sativa. Topological analysis revealed the presence of transmembrane localization of PR2 and absence of transmembrane domain in PR10 of both model plants studied. Amino acid composition shows the dominance of small aliphatic amino acids i.e. alanine, glycine and serine in both plants studied. These results highlights the similarities and differences between PRs of both model plants, which provides clue towards their diversified roles in plants.

In-silico analysis of cis-acting regulatory elements of pathogenesis-related proteins of Arabidopsis thaliana and Oryza sativa.

Pathogenesis related (PR) proteins are low molecular weight family of proteins induced in plants under various biotic and abiotic stresses. They play an important role in plant-defense mechanism. PRs have wide range of functions, acting as hydrolases, peroxidases, chitinases, anti-fungal, protease inhibitors etc. In the present study, an attempt has been made to analyze promoter regions of PR1, PR2, PR5, PR9, PR10 and PR12 of Arabidopsis thaliana and Oryza sativa. Analysis of cis-element distribution revealed the functional multiplicity of PRs and provides insight into the gene regulation. CpG islands are observed only in rice PRs, which indicates that monocot genome contains more GC rich motifs than dicots. Tandem repeats were also observed in 5' UTR of PR genes. Thus, the present study provides an understanding of regulation of PR genes and their versatile roles in plants.