Forensic entomology and main challenges in Brazil

Apart from an early case report from China (13th century), the first observations on insects and other arthropods as forensic indicators were documented in Germany and France during mass exhumations in the 1880s by Reinhard, who is considered a co-founder of the discipline. After the French publication of Mégnin's popular book on the applied aspects of forensic entomology, the concept quickly spread to Canada and United States. At that time, researchers recognized that the lack of systematic observations of insects of forensic importance jeopardized their use as indicators of postmortem interval. General advances in insect taxonomy and ecology helped to fill this gap over the following decades. After World Wars, few forensic entomology cases were reported in the scientific literature. From 1960s to the 1980s, Leclercq and Nuorteva were primarily responsible for maintaining the method in Central Europe, reporting isolated cases. Since then, basic research in the USA, Russia and Canada opened the way to the routine use of Entomology in forensic investigations. Identifications of insects associated with human cadavers are relatively few in the literature of the Neotropical region and have received little attention in Brazil. This article brings an overview of historic developments in this field, the recent studies and the main problems and challenges in South America and mainly in Brazil.     

Forensic entomology: a new hypothesis for the chronological succession pattern of necrophagous insect on human corpses

Forensic entomology can help to estimate the time elapsed since death, by studying the necrophagous species collected on a cadaver and its surroundings. The determination of the so- called post mortem interval (PMI or period of first oviposition) is based on the development time of necrophagous dipterans and on the chronological pattern of insects’ succession on the corpse throughout the decaying process. In the present study, authors investigated this succession by the analysis of the database of the Department of Forensic Entomology of the French Gendarmerie over 12 years (1992–2003) in order to propose a new approach and a new hypothsesis of the dynamic of necrophagous-insects’ populations present on a human cadaver over time. For all treated cases, the presence/absence and the oldest development stage of the species were recorded. Data were analyzed by statistical and Wagner parsimony methods. The statistic results allowed the association of groups of species with typical developmental stages. The Wagner parsimony analysis showed that the dynamic of the necrophagous insect population present on a cadaver could be characterised by specific species. Together, they allowed establishing hypotheses of succession of necrophagous insects on human cadavers over time that could be usefull in the PMI estimation.     

生物信息学在昆虫学研究中的应用

随着深度测序和基因芯片技术的不断发展,基因组、转录组、表达谱数据大量积累。目前,至少有10多个昆虫的基因组已被测序,30多个昆虫的转录组数据被报道。显然,传统的生物统计学方法无法处理如此海量的生物数据。量变引发质变,生物数据的大量积累催生了一门新兴学科,生物信息学。生物信息学融合了统计学、信息科学和生物学等各学科的理论和研究内容,在医学、基础生物学、农业科学以及昆虫学等方面获得了广泛的应用。生物信息学的目标是存储数据、管理数据和数据挖掘。因此,建立维护生物学数据库、设计开发基于模式识别、机器学习、数据挖掘等方法的生物软件,以及运用上述工具进行深度的数据挖掘,是生物信息学的重要研究内容。本文首先简要介绍了生物信息学的历史、研究现状及其在昆虫学科中的应用,然后综述了昆虫基因组学和转录组学的研究进展,最后对生物信息学在昆虫学研究中的应用前景进行了展望。     

Information management for entomology screening

The successful introduction of genetically modified (GM) crops has created a revolutionary transformation of the agricultural industry with GM crops currently planted on some 130 million acres. Historically, agricultural companies were involved in the discovery of conventional insecticide chemistries in processes that were very similar to those in the pharmaceutical industry. With the introduction of GM technologies, the process has radically changed. The new process is best described as the pharmaceutical equivalent of a very large-scale limited clinical trial conducted at the discovery stage. For example, unlike pharmaceutical screens, GM crop discovery screens frequently involve live insects challenged with complex protein containing soups. Furthermore, the nature of the potential avenues for discovery mandates that assay models also support protein engineering, proteomics, and genomics efforts. The range in sample demand ranges from ultra-low to high throughput. Finally, regulatory and good business stewardship demands that data integrity and tractability is in place, from discovery through varietal introduction, to manage the information generated in support of a commercialized GM plant variety. The authors describe their discovery workflow and detail how they have customized a commercially available database software package to achieve an optimum configuration for entomology screening.